WO2018032471A1

WO2018032471A1 - Intelligent tracking system and method

Info

Publication number: WO2018032471A1
Application number: PCT/CN2016/095900
Authority: WO
Inventors: 彭程; 朱超; 施秋东
Original assignee: 苏州聚晟太阳能科技股份有限公司
Priority date: 2016-08-18
Filing date: 2016-08-18
Publication date: 2018-02-22
Also published as: CN108064361A; CN108064361B

Abstract

A method for controlling a first tracking support. The method comprises: obtaining real-time running data and reference data, comprising historical running data therein, of a tracking support control system where the first tracking support is located; determining a first relationship between the real-time running data of the first tracking support in the tracking support control system and the historical running data or historical running data of a second tracking support in the tracking support control system; determining a second relationship between the real-time running data of the first tracking support and that of the second tracking support; and determining a running status of the first tracking support based on the first relationship and the second relationship.

Description

Intelligent tracking system and method

Technical field

The present application relates to tracking systems and methods, and more particularly to intelligent tracking systems and methods involving application data processing and analysis techniques.

Background technique

With the development of modern industry, the global energy crisis and air pollution problems have become increasingly prominent, and solar energy has received more and more attention as an ideal renewable and clean energy source. Solar tracking systems for photovoltaic power generation have a wide range of applications in large power plants and agricultural greenhouses. The use of such systems requires the control of one or more tracking brackets. Through the collection and analysis of one or more tracking bracket data and surrounding environment data in the system, intelligent control of the tracking bracket can be realized, the stability of the tracking bracket can be improved, and the fault maintenance cost can be reduced.

Brief

According to one aspect of the present application, a method of controlling a first tracking bracket is provided. The method may include: acquiring data, acquiring: real-time running data of the tracking bracket control system where the first tracking bracket is located; acquiring reference data of the tracking bracket control system; and based on the tracking bracket control system Real-time running data and reference data of the tracking bracket control system, determining an operating state of the first tracking bracket; and selecting a control mode based on an operating state of the first tracking bracket. The tracking bracket control system can include the first tracking bracket and a second tracking bracket. The real-time running data of the tracking bracket control system may include real-time running data of the first tracking bracket and real-time running data of the second tracking bracket. The reference data of the tracking bracket control system may include historical operational data of the tracking bracket control system. The historical running data of the tracking bracket control system may include historical running data of the first tracking bracket and historical running data of the second tracking bracket. The determining the running state of the first tracking bracket may include: determining real-time running data of the first tracking bracket and first running historical data of the first bracket or historical running data of the second tracking bracket a relationship; determining a second relationship between real-time operational data of the first tracking bracket and real-time operational data of the second tracking bracket; and determining the first tracking bracket based on the first relationship and the second relationship Operating status. The method can further include measuring the real-time angle of the first tracking bracket with an angle sensor. The method can further include measuring the real-time current of the motor by a current detecting unit.

According to another aspect of the present application, a tracking bracket control system is provided. The system can include: a first tracking bracket; a second tracking bracket; a data acquisition module; and a processing module. The data acquisition module may be configured to acquire real-time operational data and reference data of the tracking bracket control system. The real-time running data of the tracking bracket control system may include real-time running data of the first tracking bracket and real-time running data of the second tracking bracket. The reference data of the tracking bracket control system may include historical operational data of the tracking bracket control system. The historical running data of the tracking bracket control system may include historical running data of the first tracking bracket and historical running data of the second tracking bracket. The processing module may determine an operating state of the first tracking bracket based on real-time operational data of the tracking bracket control system and reference data of the tracking bracket control system. The processing module may select a control mode based on an operating state of the first tracking bracket. Determining an operational state of the first tracking bracket may include determining a first relationship between real-time operational data of the first tracking bracket and historical operational data of the first stent or historical operational data of the second tracking stent Determining a second relationship between real-time operational data of the first tracking bracket and real-time operational data of the second tracking bracket; and determining operation of the first tracking bracket based on the first relationship and the second relationship status.

According to some embodiments of the present application, the real-time running data of the first tracking bracket or the real-time running data of the second tracking bracket may include tracking the real-time angle of the bracket, tracking the real-time temperature of the bracket, tracking the real-time orientation of the bracket, or tracking the real-time height of the bracket. At least one of the others.

According to some embodiments of the present application, the historical running data of the first tracking bracket or the historical running data of the second tracking bracket may include tracking the bracket historical angle, tracking the bracket historical temperature, tracking the bracket historical orientation, or tracking the bracket historical height. At least one of the others.

According to some embodiments of the present application, the acquiring data may further comprise acquiring data of at least one of a motor, a battery, an inverter, or a combiner box.

According to some embodiments of the present application, the real-time operational data of the tracking rack control system may include real-time operational data of the electrical machine. The real-time operational data of the motor may include at least one of a motor real-time current, a motor real-time voltage, or a motor real-time temperature.

According to some embodiments of the present application, the historical operation data of the tracking bracket control system may include historical operation data of the motor, and the historical operation data of the motor may include a motor history current, a motor history voltage, or a motor history temperature. At least one of the others.

According to some embodiments of the present application, the reference data of the tracking rack control system may further include environmental data, which may include wind speed, wind direction, temperature, atmospheric pressure, air humidity, irradiation amount, radiation intensity, rainfall, At least one of snowfall, soil moisture, geographic coordinates, time, azimuth of the radiation source, or elevation angle of the radiation source.

According to some embodiments of the present application, the control mode may include at least one of an alarm mode, a high wind mode, a rainy day mode, a cloudy mode, a snow day mode, a manual mode, or an automatic mode.

According to an aspect of the application, the reference data of the tracking bracket control system may further include an operating state reference value of the first tracking bracket. A third relationship may be obtained by comparing the real-time running data of the first tracking bracket with the first tracking bracket operating state reference value; and determining an operating state of the first tracking bracket based on the third relationship.

According to some embodiments of the present application, the first tracking bracket operating state may track the stent failure. In some embodiments, the type of the first tracking bracket failure can be determined.

According to some embodiments of the present application, the reference data of the tracking rack control system may further include failure mode data of the tracking rack control system. The failure mode data of the tracking bracket control system may include failure mode data of the first tracking bracket and failure mode data of the second tracking bracket. In some embodiments, the operating state of the first tracking bracket can be matched with the failure mode data of the tracking bracket control system to obtain a matching result; and based on the matching result, the cause of the failure of the first tracking bracket can be determined. .

According to some embodiments of the present application, the tracking bracket control system may further include an angle sensor configured to measure the first tracking bracket real-time angle.

According to some embodiments of the present application, the tracking stand control system may further include a current detecting unit that acquires the motor real-time current.

Some additional features of this application can be described in the following description. Some additional features of the present application will be apparent to those skilled in the art from a review of the following description and the accompanying drawings. The features of the present disclosure can be realized and attained by the practice or use of the methods, the <RTIgt;

Description of the drawings

The drawings described herein are intended to provide a further understanding of the present application, and are intended to be a part of this application. The same reference numerals in the respective drawings denote the same parts.

1 is a schematic diagram of an application scenario of a tracking bracket control system according to some embodiments of the present application;

2 is a schematic illustration of a tracking bracket control system shown in accordance with some embodiments of the present application;

3 is a schematic illustration of a tracking bracket control system shown in accordance with some embodiments of the present application;

4 is an exemplary flow diagram of a tracking bracket control method, shown in accordance with some embodiments of the present application;

5 is an exemplary flow diagram of a tracking bracket control method, shown in accordance with some embodiments of the present application;

6 is an exemplary flow diagram of a tracking bracket control method, shown in accordance with some embodiments of the present application;

7 is an exemplary flow diagram of a tracking bracket control method, shown in accordance with some embodiments of the present application;

8 is an exemplary flow chart of a tracking bracket control method, shown in accordance with some embodiments of the present application;

9 is an exemplary flow diagram of a tracking bracket control method, shown in accordance with some embodiments of the present application.

specific description

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly described below. Obviously, the drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can apply the present application according to the drawings without any creative work. Other similar scenarios. The same reference numerals in the drawings represent the same structures or operations, unless otherwise

The words "a", "an", "the" and "the" In general, the terms "comprising" and "comprising" are intended to include only the steps and elements that are specifically identified, and the steps and elements do not constitute an exclusive list, and the method or device may also include other steps or elements.

Although the present application has various descriptions of certain modules in the system in accordance with embodiments of the present application. The modules are merely illustrative, and different aspects of the systems and methods may use different modules.

Flowcharts are used in this application to illustrate the operations performed by systems in accordance with embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the order. Instead, the various steps can be processed in reverse or simultaneously. At the same time, you can add other operations to these processes, or remove a step or a few steps from these processes.

FIG. 1 is a schematic diagram of an application scenario of a power station system 100 according to some embodiments of the present application. In some embodiments, power plant system 100 can include a tracking bracket system, a photovoltaic power generation system, and a remote monitoring system. The tracking bracket system may include a tracking bracket 111, a motor 270 (not shown in FIG. 1), an angle sensor (not shown in FIG. 1), a photosensitive sensor (not shown in FIG. 1), an encoder (not shown in A combination of one or more of FIG. 1), a limit switch (not shown in FIG. 1), a transmission member (for example, a speed reducer or a push rod, etc., not shown in FIG. 1), and the like. The photovoltaic power generation system may include a photovoltaic module 117, an inverter 113, a battery 115, a switch cabinet (not shown in FIG. 1), a box change (not shown in FIG. 1), an electric energy meter (not shown in FIG. 1), A combination of one or more of a distribution box (not shown in Figure 1) or the like. The remote monitoring system can include one or a combination of the network 120, the server 130, the database 140, the terminal device 150, and the like. In some embodiments, the tracking bracket system can draw power from the battery 115, the inverter 113, or the combiner box (not shown in Figure 1).

In some embodiments, power plant system 100 can include a tracking bracket control system, such as tracking bracket control system 200 (shown in Figure 2), tracking bracket control system 300 (shown in Figure 3), and the like. The tracking bracket control system can perform analysis on the tracking bracket 111 based on data acquired from the power station system 100. For example, the analysis can be performed based on data acquired from an angle sensor (not shown in FIG. 1), the motor 270, and the database 130 to implement a tracking bracket. 111 control. The analysis may be performed by a device (e.g., server 130, etc.) in the remote monitoring system, or by other devices (e.g., terminal device 150, etc.) having analytical computing functionality in the plant system 100.

In some embodiments, power plant system 100 can include a power plant device 110, a network 120, a server 130, a database 140, and a terminal device 150. The power plant apparatus 110 may include a tracking bracket 111, an inverter 113, a battery 115, a combiner box (not shown in FIG. 1), a booster (not shown in FIG. 1), and a charge and discharge controller (not shown in FIG. 1). Medium), switch station (not shown in Figure 1), power distribution room (not shown in Figure 1), box change (not shown in Figure 1), or electricity meter (not shown in Figure 1) One or a combination of several. The plant equipment 110 may be a power plant equipment of an off-grid power generation system, or a power plant equipment of a grid-connected power generation system. For example, in an off-grid power generation system, the plant equipment 110 may include one or a combination of ones of the tracking bracket 111, the battery 115, the inverter 113, and the charge and discharge controller (not shown in FIG. 1). For another example, in the grid-connected power generation system, the power plant apparatus 110 may include a combination of one or more of the tracking bracket 111, the inverter 113, and the like.

Tracking bracket 111 can be used to secure the assembly. The component can be one or a combination of photovoltaic components 117, photothermal components, and the like. The photovoltaic component 117 or the photothermal component can convert light energy or thermal energy into electrical energy. In some embodiments, the light or thermal energy can be from a source of radiation. The source of radiation may be a substance or device that releases various electromagnetic radiation. Electromagnetic radiation may include cosmic rays, solar radiation, X-ray sources, radiation from a reactor, and the like. Other parts of the application are described with an example of the sun as a source of radiation. It should be noted that the description of the source of solar radiation is exemplary and does not constitute a limitation of the invention. The systems and methods described herein can be applied to other sources of radiation.

The tracking bracket 111 can be a single-axis bracket or a multi-axis bracket. The single-axis bracket can move components mounted on the bracket, such as the photovoltaic assembly 117, along one axis. The multi-axis tracking bracket can move the photovoltaic component 117 along a plurality of axes. For example, a dual axis tracking bracket can rotate the photovoltaic assembly 117 along two axes to simultaneously track changes in azimuth and elevation angles of a radiation source (eg, the sun, etc.). The tracking bracket 111 may be a flat shaft bracket or a tilt shaft bracket. For example, the tracking bracket 111 may be a flat single-axis bracket, an oblique single-axis bracket, a diagonal double-axis bracket, or the like. In some embodiments, the photovoltaic module 117, the turntable, and the angle sensing can be fixed on the tracking bracket 111. One or more of a device, a height sensor, a temperature sensor, a wind speed sensor, and the like. Tracking bracket 111 can be driven by a motor (not shown in Figure 1). The motor (not shown in Figure 1) drives the movement of the turret of the tracking bracket 111 to allow the photovoltaic module 117 to track the azimuth of the sun, increasing the direct component of the surface of the photovoltaic module 117 and thereby increasing the amount of power generated. In some embodiments, the angle of the tracking bracket 111 may coincide with the angle of the turntable to which the tracking bracket 111 is coupled.

The inverter 113 can convert direct current into alternating current. The inverter 113 may be an off-grid inverter or an in-grid inverter. In some embodiments, the inverter 113 may be one or a combination of a square wave inverter, a staircase wave inverter, a sine wave inverter, or a combined three-phase inverter.

Battery 115 can be used to store power. Battery 115 can be a battery or battery pack. The battery 115 may be one or a combination of a lead storage battery, a nickel cadmium battery, a nickel hydrogen battery, a lithium ion battery, a lithium ion polymer battery, or the like.

The plant equipment 110 is interconnected and communicated with the server 130, the database 140, and/or the terminal device 150 via the network 120. The way to connect and communicate can be wired or wireless. The content of the communication may include one or a combination of real-time operational data of the power plant system 100, reference data (eg, historical operational data, operational status reference values, environmental data, etc.), and the like. For example, the plant equipment 110 can transmit a tracking bracket real-time angle detected by an angle sensor (not shown in FIG. 1) to the server 130 and/or database 140 via the network 120. As another example, the plant equipment 110 can receive control commands from the terminal device 150 over the network 120.

Network 120 can be a single network, or a combination of multiple different networks. For example, the network 120 may include a local area network (LAN), a wide area network (WAN), a public network, a private network, a private network, a wireless local area network, a virtual network, a metropolitan area network, and a public switched telephone network (Public). Switched Telephone Network (PSTN), or a combination of one or more of the Internet, industrial networks, and the like. Network 120 can include multiple network access points. These network access points can be wired or wireless. For example, routers, switch base stations, Internet exchange points, data buses, and the like. Through these access points, any data source can access the network 120 and send information over the network 120.

The access mode of the network 120 can be wired or wireless. Wired access can be achieved by fiber optic or cable, RS-485 interface, and the like. Wireless access via Bluetooth, Wireless Local Area Network (WLAN), Wi-Fi, WiMax, Near Field Communication (Near Field) Communication, NFC), ZigBee, mobile network (2G, 3G, 4G, 5G network, etc.), General Packet Radio Service (GPRS) or other connection methods.

Server 130 can be a server hardware device, or a group of servers, or any device that can provide computing services. In some embodiments, each server within a group of servers can be connected over a wired or wireless network. A server group can be centralized, such as a data center. A server group can be distributed, such as a distributed system. The server 130 may be one or a combination of a file server, a database server, an FTP server, an application server, a proxy server, a mail server, and the like. In some embodiments, a personal computer or other type of workstation or terminal device 150, if properly programmed, can also be used as server 130. Server 130 may be one or a combination of a local server, a remote server, a distributed server, and the like.

Server 130 can be used to perform analysis and processing operations of data. The analysis and processing operations may include analyzing the operational status of the plant equipment 110 (eg, tracking bracket 111) in the power plant system 100, analyzing the fault conditions of the power plant equipment 110 (eg, whether there is a fault, the type of fault, the cause of the fault, etc.) A combination of one or several of the control modes of the tracking bracket 111 is selected. The method used for data analysis and processing may include one or a combination of linear regression analysis, variance analysis, principal component analysis, discriminant analysis, cluster analysis, Bayes statistical analysis, and the like. In some embodiments, the server 130 may generate an angle graph in conjunction with the time and tracking bracket angles to determine a fault condition of the tracking bracket 111 by identifying an abnormal curve.

Server 130 can receive data over network 120. The data may be from the plant equipment 110, the database 140, or the terminal device 150. In some embodiments, the server 130 may also include a storage module in which data used in data analysis and processing may be stored. The data may be one or a combination of real-time operational data of the plant system 100, reference data (eg, historical operational data, operational status reference values, environmental data), and the like.

In some embodiments, the real-time operational data may include one or a combination of tracking bracket real-time angles, tracking bracket real-time temperature, tracking bracket real-time altitude, motor real-time current, motor real-time voltage, motor real-time temperature, and the like.

In some embodiments, historical operational data may include tracking stent history angles, tracking branches One or a combination of historical temperature, tracking bracket history height, motor history current, motor history voltage, motor real-time temperature, and the like.

In some embodiments, the operational status reference values may include tracking bracket reference values, motor reference values, other reference values, and the like. For example, the operating state reference value may include a tracking bracket reference angle, a motor reference current, and the like.

In some embodiments, the environmental data may include wind speed, wind direction, temperature, atmospheric pressure, air humidity, amount of radiation, radiation intensity, rainfall, snowfall, soil moisture, geographic coordinates, time, source azimuth or source height. A combination of one or several of the angles. The radiation source, the radiation intensity, the source azimuth or the source angle may be the sun, or other sources of radiation (eg, sun, stars, X-ray sources, reactors, etc.). In some embodiments, the amount of radiation can be an amount of solar radiation. The radiation intensity can be the intensity of the solar radiation. The radiation source azimuth may be a solar azimuth. The radiation source elevation angle may be a solar elevation angle.

The server 130 can transmit the data analysis and processed results to the power station device 110, the database 140, or the terminal device 150, etc. through the network 120. The result of the data analysis and processing may be an operating state of the power plant apparatus 110, a fault condition of the power station apparatus 110 (eg, whether there is a fault, a type of fault, a cause of the fault, etc.), a control mode command regarding the tracking bracket 111, and the like. . For example, after the server 130 determines through data analysis and processing that one or more power plant devices 110 in the power station system 100 are faulty, the failed power plant device 110 number may be transmitted to the terminal device 150. For another example, after determining, by data analysis and processing, the server 130 determines that the power generation amount of the power station system 100 is lower than a certain threshold, the server 130 may send the prompt information to the monitoring platform for reference by the operation and maintenance personnel.

In some embodiments, server 130 can be a cloud server. The cloud server may receive an instruction sent by the terminal device 150 to perform a corresponding processing operation. The instructions may include one or a combination of uploading data, downloading data, backing up data, deleting data, sharing data, and the like. For example, the user can issue an instruction to back up data through the terminal device 150, and the cloud server can back up the target data in the cloud storage space according to the backup instruction of the user. For another example, the user can issue an instruction to download data through the terminal device 150; the cloud server can download the specified data from the target site according to the download instruction of the user. For another example, the user can issue an instruction to share data through the terminal device 150; the cloud server can share the specified data to a specified object according to the user's sharing instruction, such as other tracking bracket control systems.

Database 140 can be used to store data. The database 140 can store various data utilized, generated, and output during operation of the power plant system 100. The data may include one or a combination of real-time operational data of the plant system 100, reference data (eg, historical operational data, operational status reference values, environmental data), and the like. Database 140 can be local or remote. The database 140 may include one or a combination of a hierarchical database, a networked database, and a relational database.

The database 140 can be interconnected or communicated with the network 120, or directly connected or communicated with the server 130 or a portion thereof, or a combination of the two. In some embodiments, the database 140 can be located in the background of the server 130 and directly connected to the server 130. The connection or communication of database 140 with server 130 may be wired, wireless, or a combination of both. Wired access can be achieved by means of fiber optics or cables. Wireless access can be via Wireless Local Area Network (WLAN), Wi-Fi, WiMax, Near Field Communication (NFC), ZigBee, mobile networks (2G, 3G, 4G, 5G networks, etc.). Implemented by General Packet Radio Service (GPRS) or other connection methods. When database 140 is directly connected to server 130, other portions of power plant system 100 (e.g., terminal device 150) may access database 140 through server 130.

In some embodiments, database 140 can be self-contained and directly coupled to network 120. The connection or communication of database 140 with network 120 can be wired, wireless, or a combination of both. When the database 140 and the network 120 are connected or communicating with each other, the server 130, or other portion of the plant system 100 (e.g., the terminal device 150), can access the database 140 via the network 120.

The terminal device 150 can monitor the plant system 100. The terminal device 150 may include a notebook computer 151, a mobile phone 152, a tablet computer 153, a monitoring station 154, a computer (not shown in FIG. 1), a television (not shown in FIG. 1), a projection device (not shown in FIG. 1). A combination of one or more of a smart watch (not shown in FIG. 1), a smart phone (not shown in FIG. 1), a somatosensory device (not shown in FIG. 1), and the like. The terminal device 150 may include a data display module (not shown in FIG. 1), a data receiving module (not shown in FIG. 1), a data transmitting module (not shown in FIG. 1), and a data computing module (not shown in FIG. 1). Medium), a combination of one or more of a data storage module (not shown in Figure 1), and the like.

The data display module of the terminal device 150 can be used for display of data. The data can be The power plant system 100, such as real-time operational data of the plant equipment 110, reference data (eg, historical operational data, operational state reference values, environmental data), processing engine 250 (shown in Figure 2), processing the computational process, or processing the calculated A combination of one or more of the result data, the data directly input by the user, and the like. For example, real-time operational data of the plant equipment 110 in the power plant system 100. The display may be in the form of a list, a graphic (eg, a line graph, a graph, a column graph, a pie chart, a satellite cloud image, etc.), a combination of text, special symbols, voice, and the like.

In some embodiments, the terminal device 150 can display one or more of the power plant system 100, such as real-time operational data of the power plant device 110, reference data (eg, historical operational data, operational status reference values, environmental data), and the like. combination. The terminal device 150 can display intermediate data in the processing of the server 130, the result of the processing, and the like. For example, the terminal device 150 may display the number, distribution, etc. of power stations of an area (eg, city, province, country, continent, etc., or a portion thereof) based on a satellite cloud map. For another example, the terminal device 150 may display soil moisture information of an area based on a map. The displayed data can be single point data, or statistical data. For example, the terminal device 150 can display the power generation amount values of the current one or more power stations in real time. The manner of statistics may be a combination of one or more of time, region, or other freely defined manner. For example, the terminal device 150 may display the accumulated value of the amount of power generation per month in units of months. As another example, terminal device 150 can display historical operational data of plant system 100 over the past day. The displayed data can be real-time data, or historical data. For example, the terminal device 150 can display the power generation amount data of the current time and the current time of the past 100 days. The displayed data may be data for one or more tracking racks 111, data for one or more power plant systems 100, data for one or more solar power plants, and the like. For example, the terminal device 150 can simultaneously display the total power generation amount of one power station system 100 and the power generation amount of each tracking bracket 111. For another example, the terminal device 150 may display a plurality of solar power station power generation amount data distributed by a certain power group nationwide.

In some embodiments, terminal device 150 may display processing engine 250 (shown in FIG. 2) to process the calculation process or process the calculated result data. For example, the terminal device 150 can display fault data of the power plant system 100. The fault data may include fault data for one or more power plant devices 110 (eg, one or more tracking brackets 111, etc.). For example, the fault data may include fault data for all of the tracking brackets 111 in the power plant system 100. The fault data may be historical fault data. For example, the historical failure data of the power station system 100 over the past hour. Again For example, historical failure data of the power plant system 100 over the past day. The fault data may be historical fault data for one or more of the plant equipment 110. For example, a tracking fault 111 has historical fault data for the past week. For another example, historical tracking data of the plurality of tracking brackets 111 in the past month. As another example, historical fault data for all tracking brackets 111 in the power plant system 100 over the past year. The fault data may include one or a combination of a fault type, a fault time, a failure mode, a failure cause, a suggested solution, an actual solution, a fault handling progress, and the like. For example, the fault data may include respective processing times for different faults. As another example, the fault data can include a pending fault of the power plant system 100. As another example, the fault data can include a fault in the processing of the power plant system 100.

In some embodiments, terminal device 150 can receive an alert signal and issue an alert prompt. The alert signal can be generated by the server 130. When the server 130 performs analysis and processing based on the received data to determine that the operating state of the one or more power plant devices 110 is a fault state, the server 130 may send an alert signal to the terminal device 150. After receiving the alarm signal, the terminal device 150 can issue an alarm prompt. The alert prompt sent by the terminal device 150 may include one or a combination of an image alert prompt, a short alert alert, an email alert alert, an audible alert alert, a vibrating alert alert, a light alert alert, and the like. For example, after receiving the alarm signal, the notebook computer 151 can display an alarm prompt window. For another example, after receiving the alarm signal, the mobile phone 152 can display an alarm prompt message. For another example, after receiving the alarm signal, the terminal device 150 such as the monitoring station 154 may issue an audible alarm prompt and may also display an alarm prompt light.

The data receiving/transmitting module of the terminal device 150 can be used for receiving/sending data. The data may include one or a combination of data input by a user, data from a database 140, data of a plant device 110, data of a server 130, and the like. The form of data reception may be one or a combination of voice, text, picture, user action (eg, gesture), and the like.

In some embodiments, terminal device 150 can receive fault data. The fault data can be issued by the server 130. The fault data may include one or a combination of a faulty device, a fault time, a fault type, a failure mode, a failure cause, a suggested solution, a fault handling progress, and the like. The type of failure may include one or a combination of a burst type fault, a fade type fault, and the like. The fault processing progress may include one of pending, processed, processed, etc. or Several combinations. For example, the fault processing progress of one tracking bracket 111 in the power station system 100 is processed, and the fault processing progress of other tracking brackets is to be processed.

In some embodiments, terminal device 150 can issue control signals to control plant system 100. The control signal may be a control command issued by a user of the terminal device 150 or a control command calculated by the terminal device 150. The control signal may control the power station system 100 to set the angle of the tracking bracket 111, switch the control mode of the tracking bracket 111, set the fault alarm threshold, set the authority, and the like. For example, the user can set the angle of a certain tracking bracket 111. For another example, the user can set the angles of the plurality of tracking brackets 111. As another example, the user can set the angles of all of the tracking brackets 111 of the power plant system 100 together.

It should be noted that the above description of the power station system 100 is merely for convenience of description, and the present application is not limited to the scope of the embodiments. It will be understood that, after understanding the principle of the system, it is possible for the various modules to be combined arbitrarily or the subsystems are connected to other modules without being deviated from the principle. Various modifications and changes in the form and details of the application of the method and system. For example, the database 140 may be a cloud computing platform with data storage capabilities, which may include, but is not limited to, a public cloud, a private cloud, a community cloud, a hybrid cloud, and the like. Variations such as these are within the scope of the present application.

2 is a schematic diagram of a tracking bracket control system 200, in accordance with some embodiments of the present application. Tracking rack control system 200 can implement control functions for the tracking bracket based on analysis of data acquired from power station system 100. Tracking bracket control system 200 can include a control engine 210, a data acquisition engine 230, a processing engine 250, and an input/output interface 240. The tracking rack control system 200 can acquire data from the terminal device 150, the tracking bracket 111, and the motor 270. In some embodiments, the tracking rack control system 200 can also be from the inverter 113, the battery 115, the combiner box (not shown in Figure 2), the booster (not shown in Figure 2), the charge and discharge controller ( Not shown in Figure 2), switchyard (not shown in Figure 2), power distribution room (not shown in Figure 2), box change (not shown in Figure 2), or electricity meter (not shown in Figure 2) ) Obtain data from other devices.

The control engine 210 can control the movement of the tracking bracket 111. Control engine 210 can include a control module 211 and a drive module 213. The control module 211 can send a control command to the drive module 213. The driving module 213 can drive the motor 270 to operate according to the control command. Electricity The operation of the machine 270 can drive the movement of the tracking bracket 111. The movement of the tracking bracket 111 can be a combination of rotation, translation, or rotation and translation. For example, the tracking bracket 111 can be leveled by axial movement under the drive of the motor 270. As another example, the tracking bracket 111 can be moved in a vertical direction by the drive of the motor 270. Control engine 210 may be located in server 130, power plant device 110, or terminal device 150. For example, the control engine 210 can be a control box that is disposed in the plant equipment 110. In some embodiments, control engine 210 can also include a control button. The control button can be used to manually control the movement of the tracking bracket 111. In some embodiments, a control engine 210 can control the movement of a tracking bracket 111. In some embodiments, one control engine 210 can control the motion of the plurality of tracking brackets 111.

The control commands issued by the control module 211 may be derived from the processing engine 250, the terminal device 150, or calculated by the control module 211. In some embodiments, the processing engine 250 can perform operations based on the data acquired by the data acquisition engine 230 to calculate control instructions for controlling the tracking rack control system 200. In some embodiments, the user can directly input control commands for controlling the tracking bracket control system 200 through the terminal device 150 (eg, a cell phone, a laptop, etc.). In some embodiments, control module 211 can calculate a generation control instruction.

The control command issued by the control module 211 may be a combination of one or more of an instruction to select a control mode, an angle adjustment command to the tracking bracket 111, an instruction to control the operation of the motor 270, and the like. Based on the command selected by the control mode, the drive module 213 can drive the motor 270 to perform one or more actions in a particular control mode. The control mode may include one or a combination of an alarm mode, a high wind mode, a rainy day mode, a cloudy mode, a snow day mode, a manual mode, or an automatic mode. For example, under the command of the high wind mode, the drive module 213 can drive the motor 270 to operate to rotate the tracking bracket 111 to a parallel or substantially parallel angle to the ground. For another example, under the command of the rain mode or the snow mode, the drive module 213 can drive the motor 270 to operate to rotate the tracking bracket 111 to a vertical, or substantially vertical, or larger tilt position. For another example, under the automatic mode command, the control module 211 can calculate the altitude angle and azimuth of the sun based on the astronomical algorithm according to the time, the geographic coordinates of the tracking bracket 111, and the real-time angle of the tracking bracket 111. Based on the calculated solar elevation angle and azimuth angle, the control module 211 can issue a drive command to the drive module 213 to cause the drive module 213 to drive the motor 270 to operate, thereby rotating the tracking bracket 111 to cause the tracking bracket 111 to face the sun.

The drive module 213 can drive the motor 270 to operate. The manner in which the drive module 213 drives the motor 270 to operate includes speeding, running, stopping, stepping, uniform speed, and the like of the motor 270.

In some embodiments, the drive module 213 can include a transistor and a relay. The drive module 213 can include a plurality of transistors. The drive module 213 can include a plurality of relays. For example, the drive module 213 can include one transistor and two relays. When the driving module 213 receives the control command of the control module 211, the relay may first pick up, and the transistor may be powered on again. When the driving module 213 stops receiving the control command of the driving module 213, the transistor can be turned off first, and the relay can be released again.

The data acquisition engine 230 can include a real-time operational data acquisition module 231 and a reference data acquisition module 233. The real-time operational data acquisition module 231 can acquire real-time operational data of the tracking stent control system 200. The reference value data acquisition module 233 can acquire reference data of the tracking rack control system 200. The real-time operational data may be real-time operational data of one or more devices in the plant system 100. The device may include one or more of a tracking bracket 111, a motor 270, an inverter 113, a battery 115, a combiner box, a booster, a charge and discharge controller, a switch station, a power distribution room, a box change, or an electric meter. Combination of species. The real-time running data of the tracking bracket 111 may be a combination of one or several of tracking the real-time angle of the bracket, tracking the real-time temperature of the bracket, tracking the real-time orientation of the bracket, or tracking the real-time height of the bracket. In some embodiments, the tracking bracket real time angle may be the angle of the turret to which the tracking bracket is coupled. The real-time running data of the motor 270 may be a combination of one or more of a real-time current of the motor, a real-time voltage of the motor, a real-time motor speed, or a real-time temperature of the motor. The battery real-time running data may be one or a combination of battery real-time voltage, battery real-time current, and the like. The inverter real-time data may be one or a combination of inverter real-time current, inverter real-time power, and the like.

The real-time running data acquisition module 231 can be used to acquire real-time running data. The way data is acquired can be through a data collector. The data collector may be a pressure sensitive sensor, a force sensitive sensor, a position sensor, a liquid level sensor, an energy consumption sensor, a speed sensor, an acceleration sensor, a radiation sensor, a thermal sensor, or the like. The data collector may be a vibration sensor, a humidity sensor, a magnetic sensor, a gas sensor, a vacuum sensor, a biosensor, or the like. In some embodiments, the operational data collector may include an angle sensor, a temperature sensor, a displacement sensor, an infrared ranging sensor, a laser range finder, an ultrasonic ranging sensor, a barometric pressure sensor, A combination of one or more of a current sensor, a voltage sensor, a power sensor, a photosensitive sensor, a light intensity sensor, a positioning device, and the like. For example, an angle sensor can measure the tracking bracket angle. The angle sensor can be mounted on the tracking bracket 111. In some embodiments, the tracking bracket angle sensor can be mounted on a turntable that is coupled to the tracking bracket. As another example, a temperature sensor can measure the tracking bracket temperature. The temperature sensor can be mounted on the tracking bracket 111. As another example, the infrared ranging sensor can measure changes in the height or height of the tracking bracket 111. The height may be the height of the tracking bracket 111 from the ground. The infrared distance measuring sensor may be mounted on the tracking bracket 111.

The real-time operational data of the tracking rack control system 200 acquired by the real-time operational data acquisition module 231 may be transmitted to the processing engine 250 or stored in a data storage module (not shown in FIG. 2) of the data acquisition engine 230. The transmission of the real-time operational data can be performed via network 120 (shown in Figure 1).

The reference data acquisition module 233 may include a history operation data acquisition unit 235, an operation state reference value acquisition unit 237, and an environment data acquisition unit 239. The historical operation data acquisition unit 235 can acquire historical operation data of the tracking rack control system 200. The operating state reference value obtaining unit 237 may acquire an operating state reference value of the tracking rack control system 200. The environmental data acquisition unit 239 can acquire environmental data of the tracking rack control system 200.

The historical operational data acquired by the historical operational data acquisition unit 235 may be associated with one or more devices in the plant system 100. The device may include one or a combination of a tracking bracket 111, an inverter 113, a battery 115, a combiner box, a booster, a charge and discharge controller, a power distribution room, a switch station, a box change, or an electric meter. . The historical running data of the tracking bracket 111 may be a combination of one or more of tracking the historical angle of the bracket, tracking the historical temperature of the bracket, tracking the historical position of the bracket, or tracking the historical height of the bracket. In some embodiments, the tracking bracket historical angle can be represented by a historical angle of the turntable that is coupled to the tracking bracket 111. The historical running data of the motor 270 may be a combination of one or more of a motor history current, a motor history voltage, a motor history speed, or a motor history temperature. The battery historical operation data may be a battery history voltage, a battery history current, or the like. The inverter history data may be one or a combination of inverter history current, inverter history power, and the like.

The history operation data acquisition unit 235 can acquire the tracking bracket control from the processing engine 250. Historical running data for system 200. More specifically, the history operation data acquisition unit 235 can acquire the history operation data of the tracking rack control system 200 from the data storage module 251. In some embodiments, the historical operational data may be historical operational data for a particular time. The specific time may be a time period, one or more identical or different time points, or one or more identical or different time points within a time period, and the like. For example, tracking historical operational data of the rack control system 200 can include tracking historical operational data of the rack control system 200 over the past hour. As another example, tracking historical operational data of the rack control system 200 can include tracking historical operational data of the rack control system 200 at 23:00 every day for the past 100 days. In some embodiments, the historical operational data may be historical operational data for one or more of the plant devices 110. For example, historical operational data may include historical operational data for a tracking bracket 111. As another example, historical operational data may include historical operational data for a plurality of tracking cradle 111. As another example, historical operational data may include tracking historical operational data for all of the tracking brackets 111 in the rack control system 200.

The operating state reference value acquired by the operating state reference value acquiring unit 237 may be an operating state reference value of one or more devices in the power plant system 100. The device may include one or a combination of a tracking bracket 111, an inverter 113, a battery 115, a combiner box, a booster, a charge and discharge controller, a power distribution room, a switch station, a box change, or an electric meter. . The reference value of the tracking bracket operating state may be a combination of one or more of a tracking bracket angle reference value, a tracking bracket temperature reference value, a tracking bracket orientation reference value, or a tracking bracket height reference value. The motor operating state reference value may be a combination of one or more of a motor historical current reference value, a motor voltage reference value, or a motor temperature reference value. The battery operating state reference value may be a combination of one or more of a battery voltage reference value, a battery current reference value, and the like. The inverter reference value may be a combination of one or more of an inverter current reference value, an inverter power reference value, and the like.

The operating state reference value acquisition module 237 can obtain the operating state reference value of the tracking rack control system 200 from the processing engine 250. For example, the operating state reference value obtaining module 237 can obtain the operating state reference value of the tracking rack control system 200 from the analysis result of the data storage module 251 or the data analysis module 253. In some embodiments, the operational status reference value of the tracking rack control system 200 can be input by the user through the terminal device 150 and stored in the data storage module 251. In some embodiments, the operational status reference value of the tracking rack control system 200 can be obtained by analysis by the data analysis module 253. For example, the motor current reference value can be determined by the data analysis module 253 Calculated based on the historical current of the motor. The motor current reference value may be one or a combination of a maximum value, a minimum value, an average value, a median, a mode, and the like of the motor history current. In some embodiments, the operational status reference value of the tracking rack control system 200 can be set based on real-time environmental data. For example, the motor current reference value will vary depending on the real-time wind speed. When the real-time wind speed is large, the motor 270 requires a larger operating current to drive the movement of the tracking bracket 111, and thus the corresponding motor current reference value can be relatively larger than when there is no wind or low wind speed.

The environmental data acquired by the environmental data acquiring unit 239 may be real-time environmental data. The real-time environmental data may include real-time wind speed, real-time temperature, real-time air humidity, real-time soil moisture, real-time solar radiation, real-time precipitation, real-time snowfall, tracking bracket geographic coordinates, time, real-time solar azimuth or real-time solar elevation angle, etc. One or a combination of several.

The environmental data acquisition unit 239 can be used to acquire real-time environmental data of the tracking rack control system 200. The manner in which the data is acquired may be obtained by the data collector or from the processing engine 250 to obtain real-time environmental data of the tracking rack control system 200. The data collector may be a pressure sensitive sensor, a force sensitive sensor, a position sensor, a liquid level sensor, an energy consumption sensor, a speed sensor, an acceleration sensor, a radiation sensor, a thermal sensor, or the like. The data collector may be a vibration sensor, a humidity sensor, a magnetic sensor, a gas sensor, a vacuum sensor, a biosensor, or the like. In some embodiments, the environmental data collector may include a wind speed sensor, a wind direction sensor, a temperature sensor, a humidity sensor, a solar radiation sensor, a light sensor, a rain sensor, a snow sensor, a positioning device, a time relay, and a sun position sensor. One or several combinations. For example, a wind speed sensor can measure real-time wind speed. The wind speed sensor may be mounted on the surface of the power plant apparatus 110 or on the ground of the power station, such as the surface of the tracking bracket 111. As another example, a pressure sensor can measure real-time snowfall. The pressure sensor can be mounted on the ground of the power station. The real-time environment data of the tracking rack control system 200 acquired by the environmental data acquisition obtaining unit 239 may be transmitted to the processing engine 250 or stored in a data storage module (not shown in FIG. 2) of the data acquisition engine 230.

In some embodiments, the environmental data acquisition unit 239 can obtain real-time environmental data of the tracking rack control system 200 from the processing engine 250. For example, the environment data acquisition unit 239 can acquire real-time environment data from the data storage module 251 in the processing engine 250. The real-time environmental data may be tracked by the network 120 from real-time environmental data at the location of the tracking rack control system 200 obtained from an external information source (eg, a weather database) other than the tracking rack control system 200.

The historical environment data of the tracking rack control system 200 may include one of historical wind speed, historical temperature, historical air humidity, historical soil moisture, historical solar radiation, historical precipitation, historical snowfall, historical solar azimuth or historical solar elevation angle, or Several combinations. The environmental data acquisition unit 239 can acquire historical environment data of the tracking rack control system 200 from the processing engine 250. For example, the environmental data data obtaining unit 239 can acquire the historical environment data of the tracking rack control system 200 from the data storage module 251. The historical environment data may be acquired by the data collector or the real-time environmental data of the location of the tracking rack control system 200 obtained from the external information source (for example, the weather database) outside the tracking rack control system 200 through the network 120.

In some embodiments, the historical environment data may include historical environment data for a particular time. The specific time may be a time period, one or more identical or different time points, or one or more identical or different time points within a time period, and the like. For example, the historical environment data may include historical environment data that tracks the rack control system 200 over the past hour. As another example, the historical environment data can include historical environment data that tracks the rack control system 200 at 23:00 every day for the past 100 days.

The processing engine 250 can include a data storage module 251, a data analysis module 253, a mode selection module 255, and a failure analysis module 257. The processing engine 250 can be located in one or more of the server 130 and the terminal device 150. The processing engine 250 can perform data transfer with the data acquisition engine 230, the control engine 210, the terminal device 150, and the like in other portions of the tracking rack control system 200. For example, the processing engine 250 can receive real-time operational data of the tracking rack control system 200 acquired by the real-time operational data acquisition module 231. For another example, the processing engine 250 may output historical running data of the tracking rack control system 200 to the historical running data acquiring unit 235. As another example, the processing engine 250 can obtain an operational status reference value from the tracking rack control system 200 of the terminal device 150.

The data storage module 251 can store various data that the tracking rack control system 200 utilizes, generates, and outputs during operation. The data includes one of real-time operational data, reference data (eg, historical operational data, operational status reference values, environmental data), data in a computing process, or analysis results (eg, fault data, failure mode data), or the like. Several combinations.

In some embodiments, data storage module 251 can store real-time operational data of tracking rack control system 200. For example, the data storage module 251 can store a real-time running data acquisition module. 231 Get real-time operational data.

In some embodiments, data storage module 251 can store reference data for tracking rack control system 200. For example, data storage module 251 can store historical operational data from database 140.

In some embodiments, data storage module 251 can store intermediate data or results in the tracking process of tracking rack control system 200. Intermediate data or results in the calculation process may come from data analysis module 253. For example, the data storage module 251 can store fault data of the tracking rack control system 200. The fault data may include one or a combination of a faulty device, a fault time, a fault type, a failure cause, a suggested processing manner, a fault processing progress, and the like. The faulty device, the fault time can be obtained from the data analysis module 253. When the data analysis module 253 determines that the tracking bracket 111 is in a fault state, the number of the tracking bracket 111, the time of failure, and the progress of the fault processing can be transmitted to the data storage module 251. The fault type, the cause of the failure, and the suggested processing manner may be obtained from the fault analysis module 257. The fault data can also be input from the terminal device 150. For example, when it is found that the tracking bracket 111 may have a fault, corresponding fault data (for example, the number of the faulty device) may be input through the terminal device 150.

In some embodiments, the data storage module 251 can store the analysis results of the failure analysis module 257. For example, data storage module 251 can store failure mode data for tracking rack control system 200. The failure mode data may include a correspondence between the real-time operational data characteristics of the tracking support control system 200 and the failure cause and the suggested processing manner. For example, the real-time current of the motor is slowly increased, and the corresponding failure cause may be that the foundation is sunk due to heavy rain. The recommended processing method may be to strengthen the tracking bracket 111. For another example, the real-time current of the motor increases slowly, and the corresponding failure may be caused by snow in the snowy weather. The recommended treatment may be to remove snow. For another example, the real-time current of the motor suddenly increases, and the corresponding failure cause may be a short circuit of the motor 270. The recommended processing manner may be to repair the motor 270. For another example, the real-time current of the motor is much higher than the motor reference current, and the corresponding failure cause may be that the motor 270 is blocked. The recommended processing method may be to repair the motor 270. The correspondence between the historical operational data characteristics and the cause of failure, and the suggested processing manner may be obtained from the management experience of the tracking bracket control system 200, or obtained from other information sources such as other tracking bracket control systems, networks, and the like. The failure mode data can be input through the terminal device 150.

The data stored by the data storage module 251 can be from the other of the tracking rack control system 200 Partially acquired, or acquired by the network 120 from an external source of information (eg, a weather database) outside of the tracking rack control system 200. For example, the data storage module 251 can store real-time operational data of the tracking rack control system 200 acquired by the real-time operational data acquisition module 231. For another example, the data storage module 251 can store real-time environmental data and historical environment data of the location of the tracking rack control system 200 acquired from an external information source (eg, a weather database) outside the tracking rack control system 200 through the network 120.

The data storage module 251 can implement data transfer with other portions of the tracking rack control system 200. For example, the data storage module 251 can receive the analysis result of the data analysis module 253. For another example, the data storage module 251 can output the data used for the analysis to the data analysis module 253.

The data storage module 251 may be one or a combination of a magnetic disk, an optical disk, a hard disk, a cloud disk, a flash memory card, an optical storage disk, a solid state disk, or the like.

The data analysis module 253 can be used to perform analysis and processing operations of the data. The analysis and processing operations may include a combination of one or more of sorting, screening, converting, detecting, predicting, comparing, fitting, etc. the data. The operations of the analysis and processing may include analyzing an operational state of the plant equipment 110 in the power plant system 100, analyzing a fault state of the power plant equipment 110, calculating an operational state reference value of the tracking rack control system 200, and the like. The methods used for data analysis and processing may include an outlier test method, a significance test method, a linear regression analysis method, an analysis of variance, a principal component analysis method, a discriminant analysis method, a cluster analysis method, a Bayes statistical analysis method, and the like. Wherein, the method for detecting the outliers may include curve fitting, 2.5d method, 4d method, Grubbs method, Q test method, Dixon test method, Romanov method, skewness-kurtosis A combination of one or more of the test method, the Laida method, the Schwitt method, and the like. The significant test method may include one or a combination of one of F test, T test, U test, and the like. The regression analysis method may include one or a combination of least squares, logistic regression, stepwise regression, multiple regression, multiple adaptive regression, and the like. The clustering analysis method may include one or more of hierarchical clustering method, K-means clustering, system clustering method, decomposition clustering method, dynamic clustering method, overlapping clustering, fuzzy clustering, and the like. The combination.

In some embodiments, the data analysis module 253 can analyze based on the real-time operational data of the tracking rack control system 200 and historical operational data, and determine the operational status of the tracking bracket 111. For example, the data analysis module 253 can vertically compare the real-time angle of the tracking bracket of the tracking bracket 111 with the historical angle of the tracking bracket at the same time in a past period of time (eg, one month, one year, etc.). Whether the tracking bracket 111 is in a fault state.

In some embodiments, the data analysis module 253 can analyze based on real-time operational data of the plurality of tracking cradle 111 and determine the operational status of the tracking cradle 111. For example, the data analysis module 253 can determine the operational status of the tracking bracket 111 by lateral comparison. The lateral comparison may be to compare the tracking bracket real-time running data of the tracking bracket 111 with the tracking bracket real-time data of the other tracking brackets 111 in the tracking bracket control system 200 to determine whether the tracking bracket 111 is in a fault state.

In some embodiments, the data analysis module 253 can simultaneously analyze the real-time operational data and historical operational data of the tracking stent control system 200 and determine the operational status of the tracking stent 111. For example, the data analysis module 253 can determine the operational status of the tracking bracket 111 by longitudinal comparison. The longitudinal comparison may be to compare the tracking bracket real-time running data of the tracking bracket 111 with the historical running data of the tracking bracket 111 or the historical running data of the other tracking bracket 111 to determine whether the tracking bracket 111 is in a fault state.

In some embodiments, the data analysis module 253 can analyze the analysis of the real-time operational data and operational state reference values of the tracking rack control system 200 and determine the fault condition of the tracking bracket 111. For example, the data analysis module 253 can compare the real-time angle of the tracking bracket of the tracking bracket 111 with the tracking bracket reference angle at the same time, and determine whether the real-time angle of the tracking bracket is an abnormal value.

The mode selection unit 255 can select the control mode of the tracking bracket 111 according to the analysis result of the operation state of the tracking bracket 111 by the data analysis module 253. The control mode may include one or a combination of a failure mode, a high wind mode, a rainy day mode, a snow day mode, a cloudy mode, a manual mode, and an automatic mode. The corresponding mode signal includes a combination of one or more of a failure mode signal, a wind mode signal, a rain mode signal, a snow day mode signal, a cloudy mode signal, a manual mode signal, and an automatic mode signal.

When the tracking bracket 111 is only in an operating state, such as a high wind state, the mode selection unit 255 selects the control mode of the tracking bracket 111 to be a high wind mode, and issues a corresponding wind mode signal. When the tracking bracket 111 is in several operating states, the mode selecting unit 255 can select the control mode corresponding to the operating state with the highest priority according to the operating state priority. For example, the operating state priority is fault state > manual state > high wind state > rainy state > snowy state > cloudy state > automatic state; when the tracking bracket 111 is in a fault state and a cloudy state at the same time, the mode selection unit 255 will select the failure mode corresponding to the fault state with the highest priority as the control mode of the tracking bracket 111. The priority of the operating state can be set by the user on the terminal device 150. The priority of the operating state may be set according to a default value of the system 200. The priority of the operational status may be obtained by the system 200 through self-learning of historical data. For another example, the operating state priority is manual state > fault state = high wind state = rainy state > snowy state > cloudy state > automatic state, and when the tracking bracket 111 is in a fault state and a rainy state, the mode selection module 255 At the same time, the failure mode and the rain mode are selected as the control mode of the tracking bracket 111. The result of the control in this control mode may be to alert the fault while adjusting the tracking bracket 111 to a position perpendicular to the ground or to track the position of the maximum angle allowed by the bracket 111.

The failure analysis module 257 can determine the type of failure of the plant equipment 110, the cause of the failure, and the suggested treatment. The type of failure may include one or a combination of a burst type fault, a fade type fault, and the like. A burst type fault may refer to a sudden change in the operating state of the plant equipment 110. For example, the tracking bracket's real-time angle of the tracking bracket suddenly becomes large. For another example, the real-time current of the motor of the motor 270 suddenly becomes large. A gradual failure may refer to a slow change in the operating state of the plant equipment 110. For example, the deviation between the tracking bracket real-time angle of the tracking bracket 111 and the tracking bracket angle reference value gradually becomes larger. For another example, the real-time current of the motor of the motor 270 gradually becomes larger.

When the data analysis module 253 confirms that the operating state of the plant equipment 110 is a fault state, the data analysis module 253 issues a fault analysis command to the fault analysis module 257. Based on the fault analysis instruction, the fault analysis module 257 acquires the historical running data and the operating state reference value of the faulty power plant device 110 and the failure mode data in the data storage unit 251. Based on the acquired historical operational data, operational state reference values, and failed mode data, the fault analysis module 257 can determine the fault type, the cause of the failure, and the suggested processing manner. The process of determining the type of failure may be:

(1): Calculate the deviation between the historical operation data and the operating state reference value within a specific time. Assume that there are n historical running data and n corresponding operating state reference values in a specific time. The i-th historical running data is Hi, the corresponding i-th running state reference value is Ri, and the i-th running deviation value is ( Hi-Ri)

(2): Calculate the variance or standard deviation of n running deviation values within a specific time.

(3): Compare the variance or standard deviation of the motion deviation with the sudden failure threshold, and judge Whether the barrier is a sudden failure. If the variance or standard deviation of the motion deviation is greater than or equal to the sudden failure threshold, it is determined to be a sudden failure. Otherwise, it is judged as a gradual failure.

The burst failure threshold in the judging process can be set by the user through the terminal device 150. The burst failure threshold may be set according to a default value of the system 200. The burst failure threshold may be obtained by system 200 through self-learning of historical data.

The method for determining the cause of the failure and the suggested processing manner may be to match the historical running data of the power station device 110 with the failure mode data, and determine whether the historical running data meets the historical running data feature in the failure mode data. The matching process can include one or more of comparison, fitting, association, and the like. If the historical operational data of the plant equipment 110 conforms to the historical operational data characteristics, the corresponding failure cause and suggested processing manner can be determined. The method of historical operational data and failure mode data of the plant equipment 110 may include curve fitting or the like.

Input/output interface 240 can be coupled or in communication with other components in tracking rack control system 200. Other components in the tracking rack control system 200 can be connected or communicated via the input/output interface 240. The input/output interface 240 can be a wired USB interface, a serial communication interface, a parallel communication port, or a wireless Bluetooth, infrared, RFID (Radio-frequency identification), WAPI (WLAN Authentication and Privacy Infrastructure), GPRS ( Combination of one or more of General Packet Radio Service), CDMA (Code Division Multiple Access), and the like.

Motor 270 can be any electromagnetic device that converts electrical energy into mechanical energy in accordance with the laws of electromagnetic induction. The motor 270 may be one or a combination of an axial magnetic field motor, a radial magnetic field motor, a synchronous motor, an induction motor, a reversible motor, a stepping motor, a servo motor, a linear motor, and the like.

It should be noted that the above description of the tracking bracket control system 200 is merely for convenience of description, and the present application is not limited to the scope of the embodiments. It will be understood that, after understanding the principle of the system, it is possible for the various modules to be combined arbitrarily or the subsystems are connected to other modules without being deviated from the principle. Various modifications and changes in the form and details of the application of the method and system. For example, in some embodiments, control engine 210 may further include an acquisition module (not shown in FIG. 2), a processing module (not shown in FIG. 2), and a storage module (not shown in FIG. 2). The acquisition module (not shown in Figure 2) can be used for data acquisition. For example, the acquisition module (not shown in Figure 2) can The tracking bracket angle data acquired by the angle sensor of the tracking bracket 111 is obtained. For another example, the processing module (not shown in FIG. 2) can acquire current time information, latitude and longitude information in which the tracking bracket 111 is located, and the like. A processing module (not shown in Figure 2) can be used for the calculation and analysis of the data. For example, the processing module (not shown in Figure 2) can calculate the elevation and azimuth of the sun based on the astronomical algorithm based on current time, latitude and longitude information. As another example, a processing module (not shown in FIG. 2) can calculate an angular adjustment value of the tracking bracket 111 based on sensor data, a height angle and azimuth of the sun, and generate a control command to drive the motor to operate. A storage module (not shown in Figure 2) can be used for the storage of data. The storage module may be one or a combination of a magnetic disk, an optical disk, a hard disk, a cloud disk, a flash memory card, an optical storage disk, a solid state disk, or the like.

3 is a schematic illustration of a tracking bracket control system 300, in accordance with some embodiments of the present application. Tracking bracket control system 300 is an exemplary embodiment of tracking bracket control system 200 shown in FIG. 2, but does not indicate that tracking bracket control system 200 of FIG. 2 can only be implemented in the manner shown in tracking bracket control system 300. The tracking bracket control system 300 can include a control module 211, a driving module 213, a real-time operating data acquiring module 231, a reference data acquiring module 233, a limit switch 370, and a host computer 390. The tracking rack control system 300 can acquire data from the terminal device 150, the tracking bracket 111, and the motor 270. In some embodiments, the tracking rack control system 200 can also be from the inverter 113, the battery 115, the combiner box (not shown in Figure 3), the booster (not shown in Figure 3), the charge and discharge controller ( Not shown in Figure 3), switchyard (not shown in Figure 3), power distribution room (not shown in Figure 3), box change (not shown in Figure 3), or electricity meter (not shown in Figure 3) ) Obtain data from other devices.

The control module 211 can send a control command to the drive module 213. The driving module 213 can drive the motor 270 to operate according to the driving command. The operation of the motor 270 can drive the movement of the tracking bracket 111. The motion can be a combination of rotation, translation, or rotation and translation. For example, the tracking bracket 111 can be leveled by axial movement under the drive of the motor 270. As another example, the tracking bracket 111 can be moved in a vertical direction by the drive of the motor 270.

The control command issued by the control module 211 may be derived from the host computer 390, the terminal device 150, or calculated by the control module 211. The combination of one or more of an instruction to control mode selection, an angle adjustment command, an instruction to motor operation control, and the like. By controlling the mode selected command, the drive module 213 can drive the motor 270 to perform one or more movements in a particular control mode. Work. The data communication between the control module 211 and the upper computer 390 can be realized through the RS485 communication interface. For a more detailed description of the control module 211, reference may be made to FIG.

The drive module 213 can drive the motor 270 to operate. The manner in which the drive module 213 drives the motor 270 to operate includes speeding, running, stopping, stepping, uniform speed, and the like of the motor 270. For a more detailed description of the drive module 213, reference may be made to FIG. 2.

The real-time operational data acquisition module 231 can acquire real-time operational data of the tracking stent control system 200. The real-time data acquisition module 231 can include a current detecting unit 310, an angle sensor 330, a Hall encoder 340, and a photosensitive sensor 350.

The current detecting unit 310 can measure the real-time current of the motor. The current detecting unit 310 may be one or a combination of a current sensor, a Hall element, a multimeter, and an ammeter. The method for detecting the current by the current detecting unit 310 may be a method based on the Hall induction principle, a method based on the magnetic compensation principle, or the like. For example, based on the Hall induction principle, a Hall current sensor can be used to measure the real-time current of the motor. The real-time current of the motor detected by the current detecting unit 310 can be output to the control module 211. When the control module 211 detects that the real-time current of the motor exceeds the motor current reference value, the control module 211 may output a cut-off signal and/or a motor overload signal. The cutoff signal may be output to the drive module 213, and the drive module 213 is commanded to cut off the power of the motor 270. The motor overload signal may be output to the terminal device 150, and the terminal device 150 is commanded to issue a motor overload warning prompt.

The angle sensor 330 can measure the real-time angle of the tracking bracket. In some embodiments, the angle sensor 330 can determine the tracking rack real-time angle by measuring the real-time angle of the turret on the tracking bracket 111. The angle sensor 330 may be one or a combination of a solid pendulum angle sensor, a liquid pendulum angle sensor, a gas pendulum angle sensor, and the like. The angle sensor 330 can be mounted on the tracking bracket 111. In some embodiments, the angle sensor 333 can be mounted on a turntable of the tracking stand. The tracking bracket real-time angle detected by the angle sensor 330 can be output to the control module 211.

In some embodiments, the plurality of angle sensors 330 can measure the tracking bracket real-time distortion. The plurality of angle sensors 330 may be mounted on the same tracking bracket 111. For example, the plurality of angle sensors 330 can be mounted at different locations of the turntable of the same tracking bracket 111. For example, an angle sensor 330 can be mounted to the top of the turntable; an angle sensor 330 can be mounted to the bottom of the turntable. The plurality of tracking brackets detected by the plurality of angle sensors 330 are real-time The angle is output to the control module 211. The control module 211 can calculate the tracking bracket real-time distortion based on the plurality of tracking bracket real-time angles. The tracking bracket real-time distortion may be a maximum value, an average value, and the like of the absolute values of the difference between the two real-time angles of the plurality of tracking brackets.

When the control module 211 detects that the tracking bracket real-time distortion exceeds the real-time distortion reference value, a stop drive command and/or a tracking bracket abnormality warning signal may be issued. The stop drive command may be output to the drive module 213, and the drive module 213 is commanded to stop driving the motor 270. The tracking bracket abnormality warning signal may be output to the terminal device 150, and the terminal device 150 is instructed to issue a tracking bracket abnormal warning prompt.

The Hall encoder 340 can measure the real-time speed of the motor. The Hall encoder 340 can detect the position of the magnetic pole when the motor 270 rotates and generate a pair of orthogonal pulse signals corresponding thereto. Based on the pulse signal generated by the Hall encoder 340, the rotational speed of the motor 270 can be derived. The real-time motor speed detected by the Hall encoder 340 can be output to the control module 211. When the control module 211 detects that the real-time motor speed exceeds the motor speed reference value, the control module 211 may output a cut-off signal and/or a motor abnormality signal. The cutoff signal may be output to the drive module 213, and the drive module 213 is commanded to cut off the power of the motor 270. The motor abnormality signal may be output to the terminal device 150, and the terminal device 150 is commanded to issue a motor abnormality warning prompt.

The photosensitive sensor 350 can measure the surface radiation intensity of the tracking bracket 111. The photosensitive sensor may be mounted on the surface of the tracking bracket 111. The photosensitive sensor may be one or a combination of a photoresistor, an infrared sensor, an ultraviolet sensor, a fiber optic photoelectric sensor, a color sensor, and the like. The tracking stent surface radiation intensity detected by the photosensitive sensor 350 can be output to the control module 211.

In some embodiments, the real-time data acquisition module 231 can also include a pressure sensor (not shown in FIG. 3), a temperature sensor, etc. (not shown in FIG. 3). The real-time running data of the tracking rack control system 300 acquired by the real-time data acquiring module 231 can be transmitted to the upper station 390 or stored in the data storage module (not shown in FIG. 3) of the real-time data acquiring module 231. For a more detailed description of the real-time operational data acquisition module 231, reference may be made to the content in FIG. 2.

The limit switch 370 can limit the range of rotation of the tracking bracket 111. The limit switch 370 can monitor the abnormality of the tracking bracket 111 and issue a tracking bracket angle abnormality signal when the tracking bracket 111 is rotated to a specific range (for example, outside the normal range). In some embodiments, the limit switch 370 Can be installed outside the normal range of the tracking bracket. When the tracking bracket 111 is rotated outside the normal angle range, the limit switch 370 is touched. After the limit switch 370 contacts the tracking bracket 111, the tracking bracket abnormality signal can be sent to the control module 211. When the control module 211 receives the tracking bracket abnormality signal, it will issue a stop driving command and/or a tracking bracket abnormal warning signal. The stop drive command may be output to the drive module 213, and the drive module 213 is commanded to stop driving the motor 270. The tracking bracket abnormality warning signal may be output to the terminal device 150, and the terminal device 150 is instructed to issue a tracking bracket abnormal warning prompt. The tracking bracket abnormal warning prompt may be a combination of one or more of an image alarm prompt, a short message alert prompt, an email alert prompt, an audible alert prompt, a vibrating alert prompt, a light alert alert, and the like.

Tracking bracket control system 300 can be fitted with one or more limit switches. The limit switch can be installed within the normal angle range or outside the normal angle range. In some embodiments, the tracking bracket 111 may have a normal angular range of -45° to +45°; one limit switch 370 may be mounted at a tracking bracket of -50°, and a limit switch 370 may be mounted to the tracking bracket. +50° position. When the tracking bracket 111 is rotated to -50°, the tracking bracket 111 comes into contact with the limit switch 370. The limit switch 370 can prevent the tracking bracket 111 from continuing to rotate through the control module 211, and issue a tracking bracket abnormality signal to the control module 211. When the tracking bracket 111 is rotated to +50°, the tracking bracket 111 comes into contact with the limit switch 370. The limit switch 370 can prevent the tracking bracket 111 from continuing to rotate through the control module 211, and issue a tracking bracket abnormality signal to the control module 211.

The reference data acquisition module 233 can obtain reference data for the tracking rack control system 300. The reference data of the tracking rack control system 300 may include a combination of one or more of tracking historical operating data, operating state reference values, environmental data, and the like of the rack control system 300. For a more detailed description of the reference data, reference may be made to the content in FIG. 2.

In some embodiments, the historical operational data acquired by the reference data acquisition module 233 can include historical operational data of one or more devices in the tracking rack control system 300. For example, historical operational data may include tracking historical operational data of the stent 111. As another example, historical operational data may include historical operational data for motor 270. The reference data acquisition module 233 can acquire historical operation data of the tracking rack control system 300 from the host computer 390.

In some embodiments, the operational status reference values obtained by the reference data acquisition module 233 can include tracking operational status reference values for one or more devices in the rack control system 300. E.g, The operating state reference value may include an operating state reference value of the tracking bracket 111. As another example, the operational status reference value can include an operational status reference value for the motor 270. The reference data acquisition module 233 can acquire the operating state reference value of the tracking rack control system 300 from the host computer 390. In some embodiments, the operational status reference value of the tracking rack control system 300 may be input by the user through the terminal device 150 and stored in the upper computer 390. In some embodiments, the operating state reference value of the tracking rack control system 300 can be obtained by calculation by the host computer 390. The operational status reference value may be calculated based on historical operational data of the tracking rack control system 300. For example, the motor current reference value can be calculated by the host computer 390 based on the motor history current. The motor current reference value may be one or a combination of a maximum value, a minimum value, an average value, a median, a mode, and the like of the motor history current. For a more detailed description of the operational status reference values, reference may be made to the content in FIG.

In some embodiments, the environmental data acquired by the reference data acquisition module 233 may include real-time environmental data and historical environment data. The real-time environmental data may include real-time wind speed, real-time temperature, real-time air humidity, real-time soil moisture, real-time solar radiation, real-time precipitation, real-time snowfall, tracking bracket geographic coordinates, time, real-time solar azimuth or real-time solar elevation angle, etc. One or a combination of several. The real-time environment data acquisition manner may be obtained by using a data collector or acquiring real-time environment data of the tracking rack control system 300 from the upper computer 250. The real-time environment data obtained by the reference data acquisition module 233 for acquiring the tracking rack control system 300 may be transmitted to the upper computer 390 or stored in a data storage module (not shown in FIG. 3) of the reference data acquisition module 233.

In some embodiments, the historical environment data acquired by the reference data acquisition module 233 may include historical wind speed, historical temperature, historical air humidity, historical soil moisture, historical solar radiation, historical precipitation, historical snowfall, historical solar azimuth, or historical solar altitude. One or a combination of angles and the like. The reference data acquisition module 233 can acquire historical environment data of the tracking rack control system 300 from the host computer. For example, the reference data acquisition module 233 can acquire historical environment data of the tracking rack control system 300 from a storage module of the host computer 390 (not shown in FIG. 3). The historical environment data stored in the storage module of the host computer 390 (not shown in FIG. 3) may be acquired by the network 120 from an external information source (for example, a weather database) other than the tracking rack control system 300. For a more detailed description of the environmental data, reference may be made to the content in FIG. 2.

The host computer 390 can store data and perform analysis and processing operations of the data. The host computer 390 can be a data analysis platform. In some embodiments, the host computer 390 can include one Processing engine 250 (as shown in Figure 2). The host computer 390 can store various data that the tracking rack control system 300 utilizes, generates, and outputs during operation. The data includes one of real-time operational data, reference data (eg, historical operational data, operational status reference values, environmental data), data in a computing process, or analysis results (eg, fault data, failure mode data), or the like. Several combinations. In some embodiments, host computer 390 can include a data storage module (not shown in FIG. 3). The data storage module may be one or a combination of a magnetic disk, an optical disk, a hard disk, a cloud disk, a flash memory card, an optical storage disk, a solid state disk, and the like.

The host computer 390 can perform data transmission with the control module 211, the terminal device 150, the reference value acquisition unit 233, and the like in the tracking bracket control system 300. For example, the host computer 390 can receive data input by the user through the terminal device 150. For another example, the host computer 390 can receive the real-time environment data acquired by the reference value acquiring unit 233. For another example, the host computer 390 can output the historical operation data of the tracking rack control system 300 stored in the upper computer 390 to the reference value module 233. In some embodiments, the host computer 390 can perform direct data transmission with the real-time operational data module 231. For example, the host computer 390 can receive the tracking bracket real-time angle measured by the angle sensor 330. For another example, the host computer 390 can receive the real-time current of the motor measured by the current detecting unit 310.

The host computer 390 can perform analysis and processing operations of data. The analysis and processing operations may include a combination of one or more of sorting, screening, converting, detecting, predicting, comparing, fitting, etc. the data. The analysis and processing operations may include analyzing the operational status of one or more tracking brackets 111 in the tracking rack control system 300, selecting a control mode of one or more tracking brackets 111, and analyzing the fault status of one or more tracking brackets 111. (including whether the fault is faulty, the type of fault, the cause of the failure, the recommended processing method), the operating state reference value of the tracking system 300, and the like. The method used for data analysis and processing may include one of an outlier test method, a significance test method, a linear regression analysis method, an analysis of variance, a principal component analysis method, a discriminant analysis method, a cluster analysis method, a Bayes statistical analysis method, and the like. Combination of species or several.

The terminal device 150 can monitor the tracking bracket control system 300. In some embodiments, terminal device 150 may display a combination of one or more of real-time operational data, reference data (eg, historical operational data, operational status reference values, environmental data), etc. of tracking rack control system 300. In some embodiments, terminal device 150 can receive an alert signal and issue an alert prompt. The alarm signal can be generated by the host computer 390. In some embodiments, the terminal device 150 can also receive Fault data and display fault data. The fault data can be calculated and issued by the host computer 390 based on the data analysis. In some embodiments, terminal device 150 can also issue control signals to control tracking bracket control system 300. The control signal may be a control command issued by a user of the terminal device 150 or a control command calculated by the terminal device 150. The control signal may control the tracking bracket control system 300 to set the angle of the tracking bracket 111, switch the control mode of the tracking bracket 111, set the fault alarm threshold, set the authority, and the like. For a more detailed description of the terminal device 150, reference may be made to the contents of FIGS. 1 and 2.

It should be noted that the above description of the tracking bracket control system 300 is for convenience of description only, and the present application is not limited to the scope of the embodiments. It will be understood that, after understanding the principle of the system, it is possible for the various modules to be combined arbitrarily or the subsystems are connected to other modules without being deviated from the principle. Various modifications and changes in the form and details of the application of the method and system. For example, in some embodiments, the host computer 390 can further include a data storage module (not shown in FIG. 3), a data analysis module (not shown in FIG. 3), a mode selection module (not shown in FIG. 3), Fault analysis module block (not shown in Figure 3). In some embodiments, the real-time data acquisition module 231 can be directly connected to the host computer 390. For example, the angle sensor 330 can upload the tracking bracket real-time angle to the upper computer 390 and store it in the storage module (not shown in FIG. 3) of the upper computer 390.

In accordance with some embodiments of the present application, FIG. 4 is an exemplary flow diagram of a tracking bracket control method 400. Tracking bracket control method 400 can be performed by tracking

bracket control systems

200, 300 shown in Figures 2-3. For ease of description, the tracking bracket control method 400 will be described below in conjunction with the tracking bracket control system 200, but does not indicate that the tracking bracket control method 400 can only be performed by the tracking bracket control system 200.

At step 410, real-time operational data of the tracking rack control system 200 can be acquired. The acquisition of the real-time operational data may be performed by the real-time operational data acquisition module 231. The real-time running data of the tracking bracket control system 200 may include one or a combination of tracking rack real-time running data, motor real-time running data or other real-time running data. The real-time operational data of the tracking rack control system 200 can be real-time operational data of the tracking rack control system 200, or real-time operational data of the plurality of tracking rack control systems 200. The plurality of tracking bracket control systems 200 can be sourced from the same power station or different power stations. For example, the real-time operational data can be the same The real-time operational data of the power company's different tracking bracket control systems 200 in different solar power plants. The real-time running data of the tracking bracket control system 200 may be real-time running data of the tracking bracket 111, real-time running data of the plurality of tracking brackets 111, or real-time running data of all tracking brackets in the rack control system 200. For example, at step 410, a tracking bracket real-time angle of the tracking bracket 111 and/or a motor real-time current of the motor 270 that drives the motion of the bracket can be acquired. A more detailed description of real-time operational data can be found in Figure 2. A more detailed description of real-time operational data can be found in Figure 2.

At step 430, reference data for the tracking rack control system 200 can be obtained. The acquisition of the reference data may be performed by the reference data acquisition module 233. The reference data of the acquisition tracking support control system 200 may include a combination of one or more of tracking historical operation data of the support control system 200, environmental data, operational status reference data, and the like. The reference data of the tracking rack control system 200 may be reference data of a tracking rack control system 200, or reference data of a plurality of tracking rack control systems 200. The plurality of tracking bracket control systems 200 can be sourced from the same power station or different power stations. For example, the reference data may be reference data for different tracking bracket control systems of the same power company in different solar power plants. The reference data may be reference data for one tracking bracket 111 in the tracking rack control system 200, reference data for the plurality of tracking brackets 111, or reference data for tracking all tracking brackets in the rack control system 200. For example, at step 430, the historical angle of the tracking bracket 111 and/or the motor history current of the motor 270 that drives the motion of the bracket may be acquired during the past year. A more detailed description of the reference run data can be found in Figure 2.

At step 450, the operational status of one or more tracking brackets 111 may be determined based on the acquired real-time operational data of the tracking rack control system 200 and the reference data of the tracking rack control system 200. In some embodiments, the determination of the operational status may be performed by data analysis module 253 (as shown in FIG. 2). The operating state may include a combination of one or more of a fault state, a manual state, a windy state, a rainy state, a snowy state, a cloudy state, and an automatic state. In some embodiments, the process of determining the operational status by the data analysis module 253 can include classifying, screening, converting, detecting, predicting, comparing, fitting, etc. the real-time operational data and reference values of the tracking bracing control system 200. One or a combination of several.

In some embodiments, the operating state of the tracking bracket 111 can be determined by a current graph, a component power generation graph, an angle graph, and the like. For example, it can be controlled according to a tracking bracket The historical running data of the system 200 generates a current curve for the entire running of the motor for one day. By comparing the real-time current value with the current curve, it can be judged whether the tracking bracket 111 is operating normally. For another example, a graph of solar radiation amount and component power generation amount may be generated based on the component power generation amount of all the tracking brackets 111 in the tracking rack control system 200. By comparing the variation patterns of the graphs of all the tracking brackets 111, it can be judged whether or not the tracking bracket 111 is operating normally.

In some embodiments, the determining process of the operating state (eg, high wind state, rainy state, snowy state, cloudy state) may be determining real-time environmental data (including real-time wind speed, real-time rainfall, real-time snow amount, real-time radiation) Strength) Relationship to operating state reference values. The operating state reference value may include a wind speed reference value, a rain amount reference value, a snow amount reference value, a radiation reference value, and the like. The operating state reference value may be set by the terminal device 150 or obtained from other sources. When the real-time wind speed is greater than or equal to the wind speed reference value, the operating state of the tracking bracket 111 is determined to be a high wind state. When the real-time rainfall is greater than or equal to the rain reference value, the operating state of the tracking bracket 111 is determined to be a rainy state. When the real-time snow amount is greater than or equal to the snow amount reference value, the running state of the tracking bracket 111 is determined to be a snowy state. When the real-time radiation intensity is less than the radiation reference value, the operating state of the tracking bracket 111 is determined to be a cloudy state.

In some embodiments, the determination of the tracking bracket 111 operational state (eg, fault condition) may be based on an analysis of the real-time operational data and historical operational data of the tracking stent control system 200 (described in FIG. 6). In some embodiments, the determination of the fault state of the tracking bracket 111 may be based on an analysis of real-time operational data of the tracking bracket 111 and real-time operational data of other tracking brackets (not shown in Figures 1 and 2) (see Figure 7). ). In some embodiments, the determination of the fault condition of the tracking bracket 111 may be based on an analysis of the real-time operational data and operational state reference values of the tracking bracket control system 200 (described in FIG. 8). The determining process of the fault state may include one or a combination of an outlier test method, a significance test method, a regression analysis method, a cluster analysis method, and the like.

In some embodiments, the determination process of tracking the operational state of the stent 111 may be based on analysis of real-time operational data of the tracking stent 200 and various reference data. For example, in step 450 or step 470, the historical running data acquired in the same or similar environment as the real-time running data, or the running state reference value may be filtered out. The determining process of the operating state may be based on real-time running data of the tracking bracket 111 and the filtered historical running data, or analysis of the operating state reference values. For another example, in step 450 or in step 470, the same or the same time as the real-time running data can be filtered out. Get historical run data (for example, the same month), or refer to the state run value. The determining process of the operating state may be based on real-time running data of the tracking bracket 111 and the filtered historical running data, or analysis of the operating state reference values.

In some embodiments, the determination of the fault state of the tracking bracket 111 can be based on an analysis of the real-time angle of the tracking bracket of the tracking bracket 111. For example, the abnormal value analysis method is used to analyze the real-time angle of the tracking bracket 111 and the tracking bracket of the other tracking brackets, and it is determined whether the real-time angle of the tracking bracket of the tracking bracket 111 is an abnormal value. If the tracking bracket real-time angle of the tracking bracket 111 is an abnormal value, it is confirmed that the tracking bracket 111 is in a fault state.

In some embodiments, the determination of the fault condition of the tracking bracket 111 may be based on an analysis of the historical power generation of the plurality of tracking brackets 111. For example, the historical power generation amount of the tracking bracket 111 and the other tracking brackets is analyzed by the outlier analysis method, and it is judged whether or not the historical power generation amount of the tracking bracket 111 is an abnormal value. If the historical power generation amount of the tracking bracket 111 is an abnormal value, it is confirmed that the tracking bracket 111 is in a failure state.

In some embodiments, the confirmation of the fault status of the tracking bracket 111 further includes determining the type of fault. The type of failure may include one or a combination of a burst type fault, a fade type fault, and the like. The burst type fault may refer to a sudden change in the operating state of the tracking bracket 111. For example, the tracking bracket's real-time angle of the tracking bracket suddenly becomes large. A gradual failure may refer to a slow change in the operating state of the tracking bracket 111. For example, the tracking bracket of the tracking bracket 111 gradually becomes larger in real time. The determination of the type of failure may be based on an analysis of historical operational data of the tracking bracket 111, which may be referred to in detail.

In some embodiments, confirming the fault condition of the tracking bracket 111 further includes analyzing the cause of the fault. The confirmation of the cause of the failure may be based on a matching analysis of the real-time operational data of the tracking bracket 111 and the failure mode data. The matching analysis can include comparisons, fittings, associations, and the like. A detailed description of the cause analysis of the tracking bracket 111 failure is shown in FIG.

In some embodiments, at step 450, the determination of the fault condition can be made to all of the station's tracking brackets 111. The fault state determination may be based on real-time operational data and historical operational data of all tracking brackets 111 of the power station on that day. The fault state determination may be applied by a combination of one or more of an outlier test method, a significance test method, a regression analysis method, a cluster analysis method, and the like. For example, analyze the real-time running data of all tracking brackets 111 to determine whether there is tracking. There is an abnormality in the real-time running data of the bracket 111. For another example, the historical running data curve of all the tracking brackets 111 is analyzed to determine whether there is an abnormality in the historical running data of the tracking bracket 111.

The determination of the manual state is based on whether the control engine 210 issues a control button signal. When the control button of the control engine 210 is pressed, the control engine 210 sends a control button signal to the processing engine 250 to confirm the motion state of the tracking bracket 111 as a manual state.

The determination of the automatic state is based on the determination of the other operational states. When the tracking bracket 111 is in any one of a non-fault state, a windy state, a rainy state, a snowy state, a cloudy state, or other operating state, the running state of the tracking bracket 111 may be determined to be an automatic state.

At step 470, a corresponding control mode may be selected based on the operational status determination result of the tracking bracket 111 in accordance with step 450. The selection of the control mode can be performed by the mode selection module 255. The control mode may include one or a combination of a failure mode, a high wind mode, a rainy day mode, a snow day mode, a cloudy mode, a manual mode, and an automatic mode. The selection of the control mode can be for one tracking bracket 111 or for all tracking brackets 111 in one tracking bracket control system 200. One or several control modes can be selected for the tracking bracket 111 based on the judgment result of the running state of the tracking bracket 111.

In some embodiments, when it is determined that the tracking bracket 111 is only in one operating state, the mode selection module 255 can select the control mode corresponding to the operating state to be the control mode of the tracking bracket 111. For example, the running state of the tracking bracket 111 is a high wind state, and the mode selection module 255 can select the control mode of the tracking bracket 111 to be a high wind mode. When it is determined that the tracking bracket 111 is in several operating states, the mode selection module 255 can select a control mode corresponding to the operating state with the highest priority according to the priority of the operating state. For example, the operating state priority is fault state>manual state>high wind state>rainy state>snow state>cloudy state>automatic state, and the mode selection module 255 can select when the tracking bracket is in the fault state and the cloudy state at the same time. The failure mode corresponding to the highest priority fault state is the control mode of the tracking bracket 111. The priority of the operating state can be set by the user at the terminal device 150. The priority of the operating state may be set according to a default value of the system 200. The priority of the operational status may be obtained by the system 200 through self-learning of historical data. For another example, the operating state priority is manual state > fault state = high wind state = rainy state > snowy state > cloudy state > automatic state, and when the tracking bracket 111 is in a fault state and a rainy state, the mode selection module 255 Simultaneously select the fault mode and the rain mode as the tracking bracket 111 Control mode. The result of the control in the tracking bracket control mode may be to alarm the fault while adjusting the tracking bracket 111 to a state perpendicular to the ground.

It should be noted that the above description of the tracking bracket control method 400 is merely for convenience of description, and the present application is not limited to the scope of the embodiments. It will be understood that those skilled in the art, after understanding the basic principles of the present application, may make changes to the capacity scheduling process without departing from this principle. For example, you can adjust the order of steps, or add some steps, or reduce some steps. For example, step 430 can precede step 410. As another example, step 410 can be performed concurrently with step 430. For another example, after step 450, it may be determined whether the tracking bracket 111 is in a fault state according to the determination result of the tracking bracket operating state. A fault alarm can be made after detecting that the tracking bracket 111 is in a fault state. As another example, at step 430, only a particular reference value of the tracking rack control system 200 can be acquired. In some embodiments, only historical operational data and environmental data of the tracking rack control system 200 may be acquired at step 430. In some embodiments, at step 430, only the operational status reference values of the tracking rack control system 200 may be acquired. For another example, the combination of step 410, step 430, and step 450 described above may be used for determining the fault state of the motor 270.

In accordance with some embodiments of the present application, FIG. 5 is an exemplary flow diagram of a tracking bracket control method 500. Tracking bracket control method 500 can be performed by tracking

bracket control systems

200, 300 shown in Figures 2-3. For ease of description, the tracking bracket control method 500 will be described below in conjunction with the tracking bracket control system 200, but does not indicate that the tracking bracket control method 500 can only be performed by the tracking bracket control system 200.

At step 510, real-time operational data of the tracking rack control system 200 in which the tracking bracket 111 is located may be acquired. For a description of step 510, reference may be made to the content of step 410 (shown in Figure 4). At step 530, reference data for the tracking rack control system 200 can be obtained. For a description of step 530, reference may be made to the content of step 430 (shown in Figure 4).

At step 550, the running state of the tracking bracket 111 can be determined by the method of curve fitting analysis according to the acquired real-time running data of the tracking bracket control system 200 and the reference data. The determination of the operational status may be performed by data analysis module 253 (shown in Figure 2). The operating state may include a combination of one or more of a fault state, a windy state, a rainy state, a snowy state, a cloudy state, a manual state, an automatic state, and the like.

In some embodiments, the determination of the fault condition can be performed using a curve fitting method. The process of determining a fault state by curve fitting may include drawing a real-time running fitting curve based on the real-time running data of the tracking bracket 111, drawing a reference data fitting curve based on the reference data of the tracking bracket, and fitting a curve based on the real-time running A curve is fitted to the reference data to determine whether the real-time operation of the tracking bracket 111 is normal. When the deviation of the real-time running data fitting curve of the tracking bracket 111 from the reference data fitting curve exceeds a threshold, it can be determined that the tracking bracket 111 is in a fault state. Otherwise, it can be confirmed that the tracking bracket 111 is in a non-faulty state. For example, when the deviation of the real-time tracking bracket angle curve of the tracking bracket 111 from the tracking bracket reference angle curve exceeds a certain angle or more, it can be confirmed that the tracking bracket 111 is in a failure state. The specific angle may be any angle of 2 degrees, 3 degrees, 4 degrees, 5 degrees, 6 degrees, or the like. For another example, when the real-time current curve of the motor 270 and the motor reference current curve exceed a certain ratio of the motor reference current, it can be confirmed that the motor 270 is in a fault state. The specific ratio may be any ratio of 20%, 30%, 40%, 50%, 60%, or the like. For another example, if the tracking bracket has a real-time height H of the tracking bracket 111, the tracking bracket 111 has a total of n tracking brackets in a certain time, the i-th historical tracking bracket height is Hi, and the tracking bracket 111 has a tracking bracket real-time height H and The standard deviation of the n history tracking bracket heights is S. Analysis can include:

(1): Curve the real-time height H of the tracking bracket and the historical height of the n tracking brackets to calculate the fitting equation. The result of the curve fitting can be a linear regression equation.

(2): Calculate the residual corresponding to the real-time height H of the tracking bracket.

(3): Query the Schwinger criterion table to determine the standard residual G under the number of n+1 samples.

(4): Determine the relationship between G*S and the residual of the tracking bracket real-time height H. If the residual corresponding to the real-time height H of the tracking bracket is greater than G*S, it can be determined that the real-time height of the tracking bracket of the tracking bracket 111 is an abnormal value, and it is confirmed that the tracking bracket 111 is in a fault state. Otherwise, it can be confirmed that the tracking bracket 111 is in a non-faulty state.

In some embodiments, the curve fit can be a fit between real-time operational data and reference data. The real-time operational data and the reference data may include a combination of one or more of time, angle sensor, motor current, wind speed, snow amount, rainfall, soil moisture, solar radiation amount, component power generation, and the like. For example, an angle-time curve can be generated in conjunction with the time and angle sensor angles. As another example, a current-angle curve can be generated in conjunction with the angle sensor angle and the motor current. For another example, a current-wind speed graph is generated in conjunction with motor current and wind speed. Another example, combined with motor power The amount of current and snow accumulated, and the current-snow amount curve is generated. For another example, in combination with motor current and rainfall, soil moisture, a current-rainfall-soil moisture profile is generated. For another example, a combination of time, amount of radiation, and amount of power generation is used to generate a power generation-time-radiation amount graph.

In some embodiments, the method of curve fitting analysis determines that the operational state of tracking stent 111 can be a longitudinal comparison of data. The tracking control method used by the tracking rack control system 200 may include: (1) generating a current curve for the entire running of the motor in a period of time based on the historical running data. The certain period of time may be one day, one week, one month, and the like. (2) Determine the deviation value in the curve.

In some embodiments, the method of curve fitting analysis determines that the operational state of tracking stent 111 can be a lateral comparison of data. The tracking control method used by the tracking bracket control system 200 may include: (1) generating a current curve of the whole running of the motor in a certain period of time according to the acquired real-time running data of the first tracking bracket 111 and the second tracking bracket 111. (2) Compare the current curve and find the deviation value in the curve.

In some embodiments, the method of determining the operational state of the tracking stent 111 using the method of curve fitting analysis may be a combination of lateral comparison and longitudinal comparison of data.

At step 570, a corresponding control mode may be selected based on the operational status determination result of the tracking bracket 111 in accordance with step 550. The selection of the control mode can be performed by the mode selection module 255. The control mode may include one or a combination of a failure mode, a high wind mode, a rainy day mode, a snow day mode, a cloudy mode, a manual mode, and an automatic mode. For details on the control mode selection process, refer to step 470 (shown in FIG. 4).

It should be noted that the above description of the control tracking bracket is for convenience of description only, and the present application is not limited to the scope of the embodiments. It will be understood that, after understanding the basic principles of the present application, it is possible for a person skilled in the art to make changes to the tracking bracket control flow without departing from the principle, and to apply the above-mentioned control flow to the application field form and Various corrections and changes in details. For example, you can adjust the order of steps, or add some steps, or reduce some steps. For example, step 530 can precede step 510. As another example, step 510 can be performed concurrently with step 530. For another example, after step 550, it may be determined whether the tracking bracket 111 is in a fault state according to the determination result of the running state of the tracking bracket 111. A fault alarm can be made after detecting that the tracking bracket 111 is in a fault state. For another example, the

above steps

510, 530, and steps The step 550 can be used in conjunction with the determination of the fault condition of the motor 270.

In accordance with some embodiments of the present application, FIG. 6 is an exemplary flow diagram of a tracking bracket control method 600. Tracking bracket control method 600 can be performed by tracking

bracket control systems

200, 300 shown in Figures 2-3. For ease of description, the tracking bracket control method 600 will be described below in conjunction with the tracking bracket control system 200, but does not indicate that the tracking bracket control method 600 can only be performed by the tracking bracket control system 200.

At step 610, real-time operational data of the tracking rack control system 200 in which the tracking bracket 111 is located may be acquired. The acquisition of the real-time operational data may be performed by the real-time operational data acquisition module 231. The real-time operational data of the tracking bracket control system 200 may include tracking bracket real-time operational data, motor real-time operational data, and other real-time operational data. For example, tracking the real-time angle of the tracking bracket of the bracket 111. As another example, the motor of the motor 270 has a real-time current. For a description of step 610, reference may be made to the content of step 410 (shown in Figure 4).

At step 630, historical operational data of the tracking rack control system 200 can be acquired. The acquisition of the historical running data of the tracking rack control system 200 can be performed by the historical running data acquiring unit 235. The tracking rack control system 200 historical running data may include a combination of one or more of tracking bracket historical running data, motor historical running data, and other historical running data. For example, the historical operational data of the tracking rack control system 200 can include tracking the tracking bracket history angle of the bracket 111. As another example, historical operational data of the tracking rack control system 200 can include motor history currents of the motor 270.

At step 650, the operational status of the tracking bracket 111 can be determined based on the acquired real-time operational data of the tracking bracket control system 200 and the historical operational data of the tracking bracket control system 200. The determination of the operational status may be performed by data analysis module 253. The operating state may include a combination of one or more of a fault state, a windy state, a rainy state, a snowy state, a cloudy state, a manual state, and an automatic state. In some embodiments, step 630 further includes obtaining environmental data of the tracking rack control system 200. Step 650 can determine whether the tracking bracket 111 is in a combination of one or more of a high wind state, a rainy state, a snowy state, and a cloudy state based on environmental data of the tracking rack control system 200. For a detailed description of the process of determining the windy state, the rainy state, the snowy state, and the cloudy state, reference may be made to step 450.

In some embodiments, the determining process of the operating state (eg, a fault state) may This includes comparing the current operational data and historical operational data of a tracking bracket 111. For example, generate a daily sensor angle value running curve for the most recent week and month. The curve is compared according to the angle sensor angle value running curve, and the difference is found to determine the running state of the tracking bracket 111. When the angle sensor angle value is slightly different, the threshold value is exceeded, and the pre-judgment is performed to remind the angle sensor that the performance is deteriorated. For another example, a daily motor current value running curve for a recent week and a month is generated. The motor current value running curves are compared to find differences to determine the operating state of the tracking bracket 111. When the difference between the motor current values is too large and exceeds the threshold value, a pre-judgment is made to remind the motor 270 that the performance is deteriorated or that the tracking bracket 111 is rotated when a jam occurs.

In some embodiments, the determination process of tracking the operational state of the stent 111 (eg, the fault state) may apply the 4d method. The determining process of the application 4d method may be determining the relationship between the real-time running data of the tracking bracket 111 and the average value of the historical running data of the tracking rack control system 200. If the difference between the real-time running data of the tracking bracket 111 and the average value of the historical running data is greater than 4 times the average deviation of the historical running data, it is determined that the tracking bracket 111 is in a fault state. For example, if the tracking bracket's tracking bracket real-time height is H, the tracking bracket 111 has a total of n tracking bracket historical heights in a certain time, the i-th historical tracking bracket height is Hi, and the average value of the historical tracking height is

The analysis can include:

(1) Calculate the average deviation d of the historical height of the tracking bracket:

(2) Calculate the difference ΔH between the real-time height of the tracking bracket and the average value of the tracking bracket's historical height:

(3) Judging the relationship between the ΔH and 4d, if ΔH is greater than 4d, it can be determined that the tracking bracket 111 is in a fault state. Otherwise, it can be determined that the tracking bracket 111 is in a non-faulty state.

In some embodiments, the determination process of tracking the operational state (eg, the fault state) of the stent 111 may apply a t-test. The process of the t-test may include establishing a hypothesis that the test tracking bracket 111 is in a non-fault state, and using the t value to check whether the hypothesis is true. For example, assume that the tracking bracket's tracking bracket real-time height is H, assuming that the tracking bracket 111 has a total of n tracking brackets in a certain time, the i-th historical tracking bracket height is Hi, and the average value of the historical tracking height is

Analysis can include:

(1) Establish assumptions:

(2) Calculate the t value:

among them

(3) According to the significance level a and the degree of freedom n-1, the t-test table is obtained to obtain the critical value t ₀ .

(4) Determine whether the null hypothesis holds based on the relationship between the t value and the critical value t ₀ . If |t|>t ₀ , the null hypothesis can be rejected, and the real-time height of the tracking bracket is significantly different from the historical height of the tracking bracket, and it is confirmed that the tracking bracket 111 is in a fault state. Otherwise, the null hypothesis can be received, and the real-time height of the tracking bracket is not significantly different from the historical height of the tracking bracket, and the tracking bracket 111 is confirmed to be in a non-fault state.

In some embodiments, the determination process of tracking the operational state (eg, the fault state) of the stent 111 also utilizes environmental data. The environmental data of the tracking rack control system 200 can be executed by the environmental data acquiring unit 239. The environmental data of the tracking rack control system 200 may include real-time environmental data and historical environment data. For example, the environmental data of the tracking rack control system 200 can include real-time wind speed. As another example, the environmental data of the tracking rack control system 200 can include historical wind speeds. Before analyzing the real-time running data of the tracking bracket 111 and the historical running data of the tracking bracket 111, the historical running data acquired under the similar environmental conditions may be filtered based on the real-time environmental data. For example, the real-time environment data of the tracking rack control system 200 indicates that the real-time wind speed exceeds a certain threshold, and correspondingly, the historical running data acquired under the condition that the historical wind speed exceeds the threshold can be filtered. The determining process of the fault determination may be based on real-time running data of the tracking bracket 111 and the filtered historical running data. For another example, at step 650 or step 670, historical environment data acquired under the same or similar month as the real-time running data acquisition month may be filtered out. The determining process of the fault determination may be based on real-time running data of the tracking bracket 111 and the filtered historical running data.

At step 670, a corresponding control mode may be selected based on the operational status determination result of the tracking bracket 111 in accordance with step 650. The selection of the control mode can be performed by the mode selection module 255. The control mode may include one or a combination of a failure mode, a high wind mode, a rainy day mode, a snow day mode, a cloudy mode, a manual mode, and an automatic mode. For a detailed description of step 670, reference may be made to what is shown in step 470 (described in FIG. 4).

It should be noted that the above description of the control tracking bracket is for convenience of description only, and the present application is not limited to the scope of the embodiments. It will be understood that those skilled in the art In this way, after understanding the basic principles of the present application, it is possible to make changes to the tracking bracket control flow without departing from this principle, and to various modifications and changes in the form and details of the application field in which the above control flow is implemented. For example, you can adjust the order of steps, or add some steps, or reduce some steps. For example, step 630 can precede step 610. As another example, step 610 can be performed concurrently with step 630. For another example, after step 650, it may be determined whether the tracking bracket 111 is in a fault state according to the determination result of the running state of the tracking bracket 111. A fault alarm can be made after detecting that the tracking bracket 111 is in a fault state. For another example, the combination of step 610, step 630, and step 650 described above may be used for determining the fault state of the motor 270.

In accordance with some embodiments of the present application, FIG. 7 is an exemplary flow diagram of a tracking bracket control method 700. Tracking bracket control method 700 can be performed by tracking

bracket control systems

200, 300 shown in Figures 2-3. For ease of description, the tracking bracket control method 700 will be described below in conjunction with the tracking bracket control system 200, but does not indicate that the tracking bracket control method 700 can only be performed by the tracking bracket control system 200.

In step 710, the first tracking bracket can be acquired, for example, the real-time running data of the tracking bracket 111. The acquisition of the real-time operational data may be performed by the real-time operational data acquisition module 231. The real-time running data of the first tracking bracket may include a combination of one or more of tracking the real-time angle of the bracket, tracking the real-time temperature of the bracket, tracking the real-time height of the bracket, and tracking the real-time orientation of the bracket.

At step 730, one or more second tracking brackets, such as real-time operational data for the plurality of tracking brackets 111, may be acquired. The second tracking bracket can be the same or different tracking bracket control system 200 as the tracking bracket 111.

At step 750, real-time environmental data of the tracking rack control system 200 where the tracking rack 111 is located can be obtained. The real-time environment data may be executed by the environment data acquisition unit 239. For example, real-time wind speed. The real-time environmental data may include one or a combination of real-time wind speed, real-time rainfall, real-time snow amount, real-time radiation, and the like.

In step 770, the running state of the first tracking bracket may be determined according to the acquired real-time running data of the first tracking bracket and the second tracking bracket, and the environmental data of the tracking bracket control system 200. The determination of the operational status may be performed by data analysis module 253. The operating state may include a combination of one or more of a fault state, a windy state, a rainy state, a snowy state, a cloudy state, a manual state, and an automatic state. For a detailed description of step 770, reference may be made to step 450. (See Figure 4).

In some embodiments, the determination process of the first tracking bracket operating state (eg, a fault state) may apply the 4d method. The determining process of the application 4d method may be determining a relationship between the real-time running data of the first tracking bracket and the average value of the real-time running data tracked by the one or more second tracking brackets. If the difference between the real-time running data of the first tracking bracket and the average value of the real-time running data tracked by the one or more second tracking brackets is greater than 4 times the average deviation of the real-time running data of the one or more second tracking brackets, It is determined that the first tracking bracket is in a fault state. For example, suppose the real-time angle of the tracking bracket of the first tracking bracket is A, and there are n second tracking brackets, and the real-time angle of the tracking bracket of the nth second tracking bracket is Ai, and the tracking brackets of the second tracking brackets are in real time. The average is

Analysis can include:

(1) Calculate the real-time angular mean deviation d of the tracking brackets of the n second tracking bracket pairs:

(2) Calculate the difference ΔA between the real-time angle of the tracking bracket of the tracking bracket 111 and the real-time angular average of the tracking brackets of the n second tracking brackets:

(3) Judging the relationship between ΔA and 4d, if ΔA is greater than 4d, it is determined that the first tracking bracket is in a fault state. Otherwise, it can be determined that the first tracking bracket is in a non-faulty state.

In some embodiments, the determination process of the operational state (eg, fault condition) of the first tracking bracket may apply a t-test. The process of the t-test may include establishing a hypothesis that the first tracking bracket is in a non-fault state, and using the t value to test whether the hypothesis is true. For example, suppose the real-time height of the tracking bracket of the first tracking bracket is A, and there are n second tracking brackets, and the real-time angle of the tracking bracket of the nth second tracking bracket is Ai, and the tracking brackets of the second tracking brackets are in real time. The average is

Analysis can include:

(1) Establish assumptions:

(2) Calculate the t value:

among them

(4) Determine whether the null hypothesis holds based on the t value and the threshold value t ₀ . If |t|>t ₀ , the null hypothesis is rejected, and the real-time angle of the tracking bracket of the first tracking bracket is significantly different from the real-time angle of the tracking bracket of the one or more second tracking brackets, and the first tracking bracket is confirmed. In a fault condition. Otherwise, the original hypothesis is received, and the real-time angle of the tracking bracket of the first tracking bracket is not significantly different from the real-time angle of the tracking bracket of the one or more second tracking brackets, and the first tracking bracket is confirmed to be in a non-fault state.

At step 790, a corresponding control mode may be selected based on the operational state determination result of the first tracking gantry according to step 770. The selection of the control mode can be performed by the mode selection module 255. The control mode may include one or a combination of a failure mode, a high wind mode, a rainy day mode, a snow day mode, a cloudy mode, a manual mode, and an automatic mode. For a detailed description of step 790, reference may be made to step 470 (described in FIG. 4).

It should be noted that the above description of the control tracking bracket is for convenience of description only, and the present application is not limited to the scope of the embodiments. It will be understood that those skilled in the art, after understanding the basic principles of the present application, may make changes to the capacity scheduling process without departing from this principle. For example, you can adjust the order of steps, or add some steps, or reduce some steps. For example, step 750 can precede step 710. For another example, step 710 and step 730 can be performed simultaneously with step 730. For another example, after step 770, it may be determined whether the tracking bracket 111 is in a fault state according to the determination result of the running state of the tracking bracket 111. A fault alarm can be made after detecting that the tracking bracket 111 is in a fault state. For another example, the combination of step 710, step 730, step 750 and step 770 described above may be used for determining the fault state of the motor 270. In some embodiments, the environmental data is not required to be used in the process of determining the operational status (eg, fault status, automatic status, manual status) of the tracking bracket 111 in step 770, and step 750 can be skipped.

In accordance with some embodiments of the present application, FIG. 8 is an exemplary flow diagram of a tracking bracket control method 800. Tracking bracket control method 800 can be performed by tracking

bracket control systems

200, 300 shown in Figures 2-3. For ease of description, the tracking bracket control method 800 will be described below in conjunction with the tracking bracket control system 200, but does not indicate that the tracking bracket control method 800 can only be performed by the tracking bracket control system 200.

At step 810, real-time operational data of the tracking rack control system 200 in which the tracking bracket 111 is located may be acquired. The acquisition of the real-time operational data may be performed by the real-time operational data acquisition module 231. The real-time operational data of the tracking bracket control system 200 may include tracking bracket real-time operational data, motor real-time operational data, and other real-time operational data. For example, the real-time operational data of the tracking rack control system 200 can include tracking the tracking bracket real-time angle of the bracket 111. Another example For example, the real-time operational data of the tracking rack control system 200 can include the motor real-time current of the motor 270.

At step 830, an operational status reference value of the tracking rack control system 200 can be obtained. The acquisition of the operating state reference value of the tracking bracket control system 200 can be performed by the operating state reference value acquiring unit 237. The tracking bracket control system 200 operating state reference value may include a combination of one or more of a tracking bracket operating state reference value, a motor operating state reference value, and other operating state reference values. For example, the tracking bracket reference angle of the tracking bracket 111 is tracked. As another example, the motor reference current of motor 270.

At step 850, the operating state of the tracking bracket 111 can be determined based on the acquired real-time operating data of the tracking bracket control system 200 and the operating state reference value and environmental data of the tracking bracket control system 200. The determination of the operational status may be performed by data analysis module 253. The operating state may include a combination of one or more of a fault state, a windy state, a rainy state, a snowy state, a cloudy state, a manual state, and an automatic state. In some embodiments, step 830 further includes obtaining environmental data of the tracking rack control system 200. Step 850 can determine whether the tracking bracket 111 is in a combination of one or more of a high wind state, a rainy state, a snowy state, and a cloudy state based on environmental data of the tracking rack control system 200. For a detailed description of the process of determining the windy state, the rainy state, the snowy state, and the cloudy state, reference may be made to step 450.

In some embodiments, the determining process of the tracking bracket 111 operating state (eg, the fault state) may be determining a relationship between the real-time operating data of the tracking bracket 111 and the operating state reference value of the tracking rack control system 200. When the difference between the real-time operational data of the tracking bracket 111 and the operational state reference value exceeds a certain threshold, it is determined that the tracking bracket 111 is in a fault state. The particular threshold may be a particular value, or a particular ratio. The specific threshold may be set by the user at the terminal device 150. The particular threshold may be set according to a default value of system 200. The particular threshold may be obtained by system 200 through self-learning of historical data. For example, the tracking bracket real-time height of the tracking bracket 111 is H, and the tracking bracket reference height of the tracking bracket control system 200 is

Tracking bracket reference height of the tracking bracket control system 200

It may be the tracking bracket history height maximum of the tracking bracket 111, or tracking all tracking bracket historical height averages of the rack control system 200, or specific values entered by the terminal device 150. when

At this time, it is considered that the tracking bracket 111 is in a fault state. For another example, the tracking bracket real-time height of the tracking bracket 111 is H, and the tracking bracket reference height of the tracking bracket control system 200 is

when

At this time, the tracking bracket 111 is considered to be in a fault state.

At step 870, a corresponding control mode may be selected based on the operational state determination result of the tracking bracket 111 in accordance with step 850. The selection of the control mode can be performed by the mode selection module 255. The control mode may include one or a combination of a failure mode, a high wind mode, a rainy day mode, a snow day mode, a cloudy mode, a manual mode, and an automatic mode. A detailed description of the process of control mode selection can be found in step 470 (described in FIG. 4).

It should be noted that the above description of the control tracking bracket is for convenience of description only, and the present application is not limited to the scope of the embodiments. It will be understood that those skilled in the art, after understanding the basic principles of the present application, may make changes to the capacity scheduling process without departing from this principle. For example, you can adjust the order of steps, or add some steps, or reduce some steps. For example, step 830 can precede step 810. For another example, step 810 and step 830 can be performed simultaneously. For another example, after step 850, it may be determined whether the tracking bracket 111 is in a fault state based on the determination result of the running state of the tracking bracket 111. A fault alarm can be made after detecting that the tracking bracket 111 is in a fault state. For another example, the combination of step 810, step 830, and step 850 described above may be used for determining the fault state of the motor 270. According to some embodiments of the present application, the tracking bracket control methods illustrated in Figures 6-8 may be used independently or in combination with one another. For example, the determination of the motion state of the tracking bracket 111 can be based on both the longitudinal analysis of the real-time operational data and historical operational data of the tracking stent control system 200, the analysis of the real-time operational data of the tracking support control system 200, and the operational data reference values. For another example, the determination of the motion state of the tracking bracket 111 can be based on the analysis of the real-time running data of the tracking bracket control system 200 and the real-time running data of the tracking bracket control system 200 and the operational data reference value.

In accordance with some embodiments of the present application, FIG. 9 is an exemplary flow diagram of a tracking bracket control method 900. Tracking bracket control method 900 can be performed by tracking

bracket control systems

200, 300 shown in Figures 2-3. For ease of description, the tracking bracket control method 900 will be described below in conjunction with the tracking bracket control system 200, but does not indicate that the tracking bracket control method 900 can only be performed by the tracking bracket control system 200.

At step 910, the terminal device 150 can be activated. The terminal device 150 may include a pen Notebook computer 151, mobile phone 152, tablet computer 153, monitoring station 154, computer (not shown in Figure 1), television (not shown in Figure 1), projection device (not shown in Figure 1), smart watch ( One or a combination of several of the smart phones (not shown in FIG. 1) and the like are not shown in FIG.

At step 920, the program can be initialized. The program may be one or more of a program for data analysis by the data analysis module 253, a program for mode selection by the mode selection module 255, a program for performing failure analysis by the failure analysis module 257, and a program for controlling the control engine 210. The combination.

At step 930, real-time operational data and reference values of the tracking rack control system 200 can be obtained. The acquisition of the real-time operational data may be performed by the real-time operational data acquisition module 231. The acquisition of the reference value may be performed by the reference data acquisition module 233.

At step 940, the fault condition of the tracking bracket 111 can be determined based on the real-time operational data of the tracking rack control system 200 and the reference value. For a detailed description of the failure state determination of the tracking bracket 111, reference may be made to step 450 (shown in Figure 4).

At step 950, when it is confirmed in step 940 that the tracking bracket 111 is in a fault state, an alarm prompt can be made. The alarm prompt can be issued by the terminal device 150. The alert prompt sent by the terminal device 150 may include one or a combination of an image alert prompt, a short alert alert, an email alert alert, an audible alert alert, a vibrating alert alert, a light alert alert, and the like. For example, the terminal device 150 such as the notebook computer 151, the mobile phone 152, the tablet computer 153, and the monitoring station 154 can display an alarm prompt window after receiving the alarm signal. For another example, after receiving the alarm signal, the terminal device 150 such as the mobile phone 152 can display an alarm prompt message. For another example, after receiving the alarm signal, the terminal device 150 such as the monitoring station 154 may issue an audible alarm prompt and may also display an alarm prompt light.

At step 960, when it is confirmed in step 940 that the tracking bracket 111 is in a non-fault state, the running state of the tracking bracket 111 can be confirmed, and the control mode is selected. The determination of the operating state of the tracking bracket 111 can be performed by the data analysis module 253. The operating state may include one or a combination of a high wind state, a rainy state, a snowy state, a cloudy state, a manual state, and an automatic state. For a detailed description of the determination process of the operational status, reference may be made to the content of step 450 (described in FIG. 4). The selection of the control mode can be performed by the mode selection module 255. The control mode may include a strong wind mode, a rainy day mode, a snowy day mode, a cloudy mode, a manual mode A combination of one or more of the formula and the automatic mode. Refer to step 470 (described in FIG. 4) for the selection process of the control mode.

It should be noted that the above description of the control tracking bracket is for convenience of description only, and the present application is not limited to the scope of the embodiments. It will be understood that those skilled in the art, after understanding the basic principles of the present application, may make changes to the capacity scheduling process without departing from this principle. For example, you can adjust the order of steps, or add some steps, or reduce some steps. For example, step 910 and/or step 920 can be skipped. For another example, after step 950, fault data of the tracking bracket 111 may be displayed on the terminal device 150, including one of a faulty device, a fault time, a fault type, a failure mode, a failure cause, a suggested solution, and a fault processing progress. Or a combination of several. The fault data may be transmitted by the processing engine 250 to the terminal device 150.

The basic concept has been described above, and it is obvious to those skilled in the art that the above disclosure is merely an example and does not constitute a limitation of the present application. Various modifications, improvements and improvements may be made by the skilled person in the art, although not explicitly stated herein. Such modifications, improvements and modifications are suggested in the present application, and such modifications, improvements and modifications are still within the spirit and scope of the exemplary embodiments of the present application.

Also, the present application uses specific words to describe embodiments of the present application. A "one embodiment," "an embodiment," and/or "some embodiments" means a feature, structure, or feature associated with at least one embodiment of the present application. Therefore, it should be emphasized and noted that “an embodiment” or “an embodiment” or “an alternative embodiment” that is referred to in this specification two or more times in different positions does not necessarily refer to the same embodiment. . Furthermore, some of the features, structures, or characteristics of one or more embodiments of the present application can be combined as appropriate.

Moreover, those skilled in the art will appreciate that aspects of the present application can be illustrated and described by a number of patentable categories or conditions, including any new and useful process, machine, product, or combination of materials, or Any new and useful improvements. Accordingly, various aspects of the present application can be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.) or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," "module," "engine," "unit," "component," or "system." Moreover, aspects of the present application may be embodied in a computer product located in one or more computer readable medium(s) including a computer readable program code.

A computer readable signal medium may contain a propagated data signal containing a computer program code, for example, on a baseband or as part of a carrier. The propagated signal may have a variety of manifestations, including electromagnetic forms, optical forms, and the like, or a suitable combination. The computer readable signal medium may be any computer readable medium other than a computer readable storage medium that can be communicated, propagated or transmitted for use by connection to an instruction execution system, apparatus or device. Program code located on a computer readable signal medium can be propagated through any suitable medium, including a radio, cable, fiber optic cable, RF, or similar medium, or a combination of any of the above.

The computer program code required for the operation of various parts of the application can be written in any one or more programming languages, including object oriented programming languages such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, and Python. Etc., conventional programming languages such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, and ABAP, dynamic programming languages such as Python, Ruby, and Groovy, or other programming languages. The program code can run entirely on the user's computer, or run as a stand-alone software package on the user's computer, or partially on the user's computer, partly on a remote computer, or entirely on a remote computer or server. In the latter case, the remote computer can be connected to the user's computer via any network, such as a local area network (LAN) or wide area network (WAN), or connected to an external computer (eg via the Internet), or in a cloud computing environment, or as a service. Use as software as a service (SaaS).

In addition, the order of processing elements and sequences, the use of alphanumerics, or other names used herein are not intended to limit the order of the processes and methods of the present application, unless explicitly stated in the claims. Although the above disclosure discusses some embodiments of the invention that are presently considered useful by way of various examples, it should be understood that such details are for illustrative purposes only, and the appended claims are not limited to the disclosed embodiments. The requirements are intended to cover all modifications and equivalent combinations that come within the spirit and scope of the embodiments. For example, although the system components described above may be implemented by hardware devices, they may be implemented only by software solutions, such as installing the described systems on existing servers or mobile devices.

In the same way, it should be noted that in order to simplify the description of the disclosure of the present application, in order to facilitate the understanding of one or more embodiments of the present invention, in the foregoing description of the embodiments of the present application, various features are sometimes combined into one embodiment. The drawings or the description thereof. However, this method of disclosure does not mean The features required by the subject matter of the application are more than those mentioned in the claims. In fact, the features of the embodiments are less than all of the features of the single embodiments disclosed above.

Numbers describing the number of components, attributes, are used in some embodiments, it being understood that such numbers are used in the examples, and in some examples the modifiers "about," "approximately," or "substantially" are used. Modification. Unless otherwise stated, "about", "approximately" or "substantially" indicates that the number is allowed to vary by ±20%. Accordingly, in some embodiments, numerical parameters used in the specification and claims are approximations that may vary depending upon the desired characteristics of the particular embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method of general digit retention. Although numerical fields and parameters used to confirm the breadth of its range in some embodiments of the present application are approximations, in certain embodiments, the setting of such values is as accurate as possible within the feasible range.

Each of the patents, patent applications, patent applications, and other materials, such as articles, books, specifications, publications, documents, or articles, which are hereby incorporated by reference herein in their entireties, in Except for the application history documents that are inconsistent or conflicting with the content of the present application, and the documents that are limited to the widest scope of the claims of the present application (currently or later appended to the present application) are also excluded. It should be noted that where the use of the description, definitions, and/or terms in the subject matter of the present application is inconsistent or conflicting with the content described herein, the use of the description, definition, and/or terminology of the present application controls.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation,,, FIG. Accordingly, the embodiments of the present application are not limited to the embodiments that are specifically described and described herein.

Claims

A method of controlling a first tracking bracket, the method comprising:

Obtaining data, the obtained data includes:

Acquiring real-time running data of the tracking bracket control system where the first tracking bracket is located, the tracking bracket control system includes the first tracking bracket and a second tracking bracket, and the real-time running data of the tracking bracket control system includes the Real-time running data of the first tracking bracket and real-time running data of the second tracking bracket;

Obtaining reference data of the tracking bracket control system, the reference data of the tracking bracket control system includes historical operation data of the tracking bracket control system, and historical operation data of the tracking bracket control system includes the first tracking bracket Historical operational data and historical operational data of the second tracking bracket;

Determining an operating state of the first tracking bracket based on real-time operational data of the tracking bracket control system and reference data of the tracking bracket control system;

Selecting a control mode based on an operating state of the first tracking bracket, wherein the determining an operating state of the first tracking bracket includes:

Determining a first relationship between real-time running data of the first tracking bracket and historical running data of the first bracket or historical running data of the second tracking bracket;

Determining a second relationship between real-time operational data of the first tracking bracket and real-time operational data of the second tracking bracket;

Determining an operational state of the first tracking bracket based on the first relationship and the second relationship.
The method of claim 1, the real-time operational data of the first tracking bracket or the second The real-time operational data of the tracking bracket includes at least one of tracking the real-time angle of the bracket, tracking the real-time temperature of the bracket, tracking the real-time orientation of the bracket, or tracking the real-time height of the bracket.
The method of claim 2 further comprising:

The first tracking bracket real time angle is measured with an angle sensor.
The method of claim 1, wherein the historical running data of the first tracking bracket or the historical running data of the second tracking bracket comprises tracking the historical angle of the bracket, tracking the historical temperature of the bracket, tracking the historical position of the bracket, or tracking the historical height of the bracket. At least one of them.
The method of claim 1, the acquiring data may further acquire data of at least one of a motor, a battery, an inverter, or a combiner box.
The method of claim 1, wherein the real-time operating data of the tracking bracket control system comprises real-time operating data of the motor, the real-time operating data of the motor comprising a real-time current of the motor, a real-time voltage of the motor, or a real-time temperature of the motor At least one.
The method of claim 6 further comprising:

The motor real-time current is measured by a current detecting unit.
The method of claim 5, wherein the historical running data of the tracking bracket control system comprises historical operating data of the motor, the historical operating data of the motor comprising a motor history current, a motor At least one of a historical voltage or a historical temperature of the motor.
The method of claim 1, wherein the reference data of the tracking rack control system further comprises environmental data including wind speed, wind direction, temperature, atmospheric pressure, air humidity, irradiation amount, radiation intensity, rainfall, and snowfall. At least one of soil moisture, geographic coordinates, time, azimuth of the radiation source, or a height angle of the radiation source.
The method of claim 1, the control mode comprising at least one of an alarm mode, a high wind mode, a rainy day mode, a cloudy mode, a snow day mode, a manual mode, or an automatic mode.
The method of claim 1, wherein the reference data of the tracking bracket control system further comprises an operating state reference value of the first tracking bracket, the determining the operating state of the first tracking bracket further comprising:

Comparing the real-time running data of the first tracking bracket with the first tracking bracket operating state reference value to obtain a third relationship;

Determining an operating state of the first tracking bracket based on the third relationship.
The method of claim 1, the first tracking bracket operating state comprising tracking a bracket failure, the method further comprising determining a type of the first tracking bracket failure.
The method of claim 1 wherein the reference data of the tracking rack control system further comprises failure mode data of the tracking bracket control system, the tracking bracket control system failure mode data The failure mode data of the first tracking bracket and the failure mode data of the second tracking bracket are further included, the method further comprising:

Matching an operating state of the first tracking bracket with failure mode data of the tracking bracket control system to obtain a matching result;

Based on the matching result, the cause of the failure of the first tracking bracket is determined.
A tracking bracket control system comprising:

a first tracking bracket;

a second tracking bracket;

a data acquisition module;

a processing module;

The data acquisition module is configured to acquire real-time running data and reference data of the tracking bracket control system, and real-time running data of the tracking bracket control system includes real-time running data of the first tracking bracket and the first Tracking the real-time running data of the bracket, the reference data of the tracking bracket control system includes historical running data of the tracking bracket control system, and the historical running data of the tracking bracket control system includes historical running data of the first tracking bracket And historical operation data of the second tracking bracket;

The processing module is configured to determine an operating state of the first tracking bracket based on real-time operational data of the tracking bracket control system and reference data of the tracking bracket control system, and:

Selecting a control mode based on an operating state of the first tracking bracket, wherein the determining an operating state of the first tracking bracket includes:

Determining real-time running data of the first tracking bracket and historical running data of the first bracket Or a first relationship of historical operational data of the second tracking bracket;

Determining a second relationship between real-time operational data of the first tracking bracket and real-time operational data of the second tracking bracket;

Determining an operational state of the first tracking bracket based on the first relationship and the second relationship.
The system of claim 14, wherein the real-time operational data of the first tracking bracket or the real-time operational data of the second tracking bracket includes tracking the real-time angle of the bracket, tracking the real-time temperature of the bracket, tracking the real-time orientation of the bracket, or tracking the real-time height of the bracket. At least one of them.
The system of claim 15 further comprising an angle sensor configured to measure the first tracking bracket real time angle.
The system of claim 14, wherein the historical running data of the first tracking bracket or the historical running data of the second tracking bracket includes tracking the historical angle of the bracket, tracking the historical temperature of the bracket, tracking the historical position of the bracket, or tracking the historical height of the bracket. At least one.
The system of claim 14 wherein said data acquisition module is configured to further acquire data of at least one of a tracking bracket control system motor, a battery, an inverter, or a combiner box.
The system of claim 14, wherein the real-time operating data of the tracking bracket control system comprises real-time operating data of the motor, the real-time operating data of the motor comprising a real-time current of the motor, a real-time voltage of the motor, and a real-time temperature of the motor At least one.
The system of claim 19, further comprising a current detecting unit that acquires said motor real-time current.
The method of claim 18, wherein the historical operational data of the tracking rack control system comprises the historical operational data of the electrical machine, the historical operational data of the electrical machine comprising a motor historical current, a motor historical voltage, or a motor historical temperature At least one of them.
[Correct according to Rule 26 17.11.2016]
The method of claim 14, wherein the reference data of the tracking rack control system further comprises environmental data including wind speed, wind direction, temperature, atmospheric pressure, air humidity, irradiation amount, radiation intensity, precipitation, snowfall, geography At least one of coordinates, time, azimuth of the radiation source, or a height angle of the radiation source.
[Correct according to Rule 26 17.11.2016]
The system of claim 14, the control mode comprising at least one of an alarm mode, a high wind mode, a rainy day mode, a cloudy mode, a snow day mode, a manual mode, or an automatic mode.
[Correct according to Rule 26 17.11.2016]

The system of claim 14, wherein the reference data of the tracking bracket control system further comprises an operating state reference value of the first tracking bracket, the determining the operating state of the first tracking bracket further comprising:

Comparing the real-time running data of the first tracking bracket with the first tracking bracket operating state reference value to obtain a third relationship;

Determining an operating state of the first tracking bracket based on the third relationship.
[Correct according to Rule 26 17.11.2016]
The system of claim 14 wherein said first tracking bracket operating condition comprises tracking a bracket failure, said method further comprising determining a type of said tracking bracket failure.
[Correct according to Rule 26 17.11.2016]

The system of claim 14 wherein the reference data of the tracking bracket control system further comprises failure mode data of the tracking bracket control system, the failure mode data of the tracking bracket control system comprising a failure mode of the first tracking bracket Data and failure mode data of the second tracking bracket, the method further comprising:

Matching an operating state of the first tracking bracket with failure mode data of the tracking bracket control system to obtain a matching result;

Based on the matching result, the cause of the failure of the first tracking bracket is determined.