CN117526545A - Micro-grid energy management system and remote data processing method thereof - Google Patents
Micro-grid energy management system and remote data processing method thereof Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L67/14—Session management
- H04L67/141—Setup of application sessions
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/16—Implementation or adaptation of Internet protocol [IP], of transmission control protocol [TCP] or of user datagram protocol [UDP]
- H04L69/163—In-band adaptation of TCP data exchange; In-band control procedures
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
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Abstract
The invention relates to a micro-grid energy management system and a remote data processing method thereof. The micro-grid energy management system comprises a client and a cloud server, wherein the client is connected with the cloud server through a mobile cellular network, and the method comprises the steps of establishing TCP connection between the client and the cloud server; the client acquires real-time operation data and transmits the real-time operation data to the cloud server through the mobile cellular network; the cloud server receives the real-time operation data and stores the real-time operation data; the cloud server provides WEB release service based on the real-time operation data, acquires an information access request, and displays the data according to the information access request. The invention adopts a data transmission mode of the mobile cellular network, can effectively reduce on-site networking, is convenient and easy to use, and reduces maintenance cost; the method of mutual coordination between the client and the cloud server is adopted, so that local and remote data monitoring and maintenance can be realized for providing a convenient, quick and diversified monitoring operation and maintenance scheme.
Description
Technical Field
The invention is suitable for the field of micro-grids, and particularly relates to a micro-grid energy management system and a remote data processing method thereof.
Background
Micro-Grid (Micro-Grid) is also translated into a Micro-Grid, and refers to a small power generation and distribution system consisting of a distributed power supply, an energy storage device, an energy conversion device, a load, a monitoring and protecting device and the like. The micro-grid energy management system is a set of energy management system with functions of power generation optimal dispatching, load management, real-time monitoring, automatic micro-grid synchronization and the like, and the energy management of the micro-grid is an important research content in micro-grid technology.
In the prior art, after a micro-grid energy management system is accessed to each device on site, information of each device is collected in management system software, and after data classification and processing, information is displayed to a local user. The energy management system of the micro-grid is not only capable of realizing the data monitoring operation and maintenance of local users, but also incapable of realizing the unattended remote data monitoring operation and maintenance.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a micro-grid energy management system and a remote data processing method thereof, so as to solve the problem that the existing micro-grid energy management system can only realize data monitoring operation and maintenance of local users and cannot realize remote data monitoring operation and maintenance.
In a first aspect, a remote data processing method of a micro-grid energy management system is provided, where the micro-grid energy management system includes a client and a cloud server, the client is connected to the cloud server through a mobile cellular network, and the remote data processing method includes:
establishing TCP connection between the client and the cloud server;
the client acquires real-time operation data and transmits the real-time operation data to the cloud server through the mobile cellular network;
the cloud server receives the real-time operation data and stores the real-time operation data;
and the cloud server provides WEB release service based on the real-time operation data, acquires an information access request, and performs data display according to the information access request.
Optionally, storing the real-time operation data includes: classifying the real-time operation data into configuration data and time sequence data; and storing the configuration data into a relational database, and storing the time sequence data into a time sequence database.
Optionally, the cloud server receiving the real-time operation data includes: the cloud server monitors TCP connection with the client based on the bound fixed wide area network IP address and port number, receives a return message sent by the client, and analyzes the return message to acquire the real-time operation data.
Optionally, the configuration data includes: the system parameter table is used for storing micro-grid parameter information; an inverter parameter table for storing inverter parameter information; an inverter signal table for storing inverter signal configuration information; the time sequence data comprises: a telemetry sample record table for storing telemetry sample records; and the remote signaling sampling record table is used for storing the remote signaling sampling record.
Optionally, when the information access request acquired by the cloud server is a real-time data monitoring request, acquiring corresponding time sequence data from a time sequence database for display; when the information access request is a report query request, carrying out report statistics of corresponding data according to the report query request, and carrying out report display; when the information access request is an inverter control request, the cloud server generates a remote control command or a remote regulation command, the remote control command or the remote regulation command is sent to the client through the mobile cellular network, and the client is used for transmitting the remote control command or the remote regulation command to the inverter.
Optionally, the micro-grid energy management system further includes a communication manager, the communication manager is in communication connection with the client through an ethernet, and the remote data processing method further includes:
the client sends the total call of the telemetry information or the remote signaling information to the communication manager, receives the telemetry information or the remote signaling information sent by the communication manager, and stores the telemetry information or the remote signaling information in a time sequence database; the client sends a remote control command or a remote regulation command to the communication manager, and receives a remote control command execution result or a remote regulation command execution result sent by the communication manager.
Optionally, the communication manager is connected with the inverter through a bus, and the remote data processing method further includes: the communication manager sends an inverter information inquiry request to the inverter through a read register, and receives inverter information sent by the inverter through the read register; the communication manager sends a remote instruction to the inverter through a write register, wherein the remote instruction comprises a remote control command or a remote regulation command of the inverter; and receiving an instruction execution result sent by the inverter through the write register.
Optionally, the cloud server obtaining the information access request includes: the cloud service end obtains the information access request based on a front-end page provided for a user to browse, wherein the front-end page comprises a webpage front-end page and/or an applet front-end page.
Optionally, the remote data processing method further includes: and the client displays the alarm information in real time based on an alarm window mode, and the alarm information is pushed to the front-end page through the cloud server.
In a second aspect, a micro-grid energy management system is provided, including a client and a cloud server, where the client is connected to the cloud server through a mobile cellular network, and the client and the cloud server cooperate to implement the remote data processing method in the first aspect when executing a computer program.
Compared with the prior art, the invention has the beneficial effects that:
according to the micro-grid energy management system and the remote data processing method thereof, the cloud service end is additionally arranged in the micro-grid energy management system, the client end and the cloud service end are connected by adopting the mobile cellular network to carry out TCP (transmission control protocol), remote real-time feedback of data is realized, and the feedback data is subjected to WEB release, so that a user can conveniently monitor and maintain the data. In addition, the data transmission mode of the mobile cellular network is adopted, so that the on-site networking can be effectively reduced, the mobile cellular network is convenient and easy to use, the maintenance cost is reduced, and the mobile cellular network meets the trend of mobile Internet of things; the method of mutual coordination between the client and the cloud server can provide a convenient, quick and diversified monitoring operation and maintenance scheme, so that local data monitoring and maintenance can be realized, and remote data monitoring and maintenance can also be realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an application environment of a remote data processing method according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a remote data processing method according to a first embodiment of the present invention;
fig. 3 is a schematic structural diagram of a micro-grid energy management system according to a second embodiment of the present invention;
fig. 4 is a schematic diagram of a data transmission flow between a client and an inverter according to a second embodiment of the present invention;
FIG. 5 is a flowchart of a remote data processing method according to a second embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a micro grid energy management system according to a third embodiment of the present invention;
fig. 7 is a schematic hierarchical diagram of a client and a cloud server according to a third embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in the present description and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Furthermore, the terms "first," "second," "third," and the like in the description of the present specification and in the appended claims, are used for distinguishing between descriptions and not necessarily for indicating or implying a relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the invention. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
It should be understood that the sequence numbers of the steps in the following embodiments do not mean the order of execution, and the execution order of the processes should be determined by the functions and the internal logic, and should not be construed as limiting the implementation process of the embodiments of the present invention.
In order to illustrate the technical scheme of the invention, the following description is made by specific examples.
The remote data processing method of the micro-grid energy management system provided by the embodiment of the invention can be applied to an application environment as shown in fig. 1, wherein a client communicates with a cloud server, and the client is connected with the cloud server through a mobile cellular network. The clients include, but are not limited to, palm top computers, desktop computers, notebook computers, ultra-mobile personal computer (UMPC), netbooks, cloud computing devices, personal digital assistants (personal digital assistant, PDA), and other computing devices. The cloud service end can be implemented by an independent server or a server cluster formed by a plurality of servers.
Referring to fig. 2, a flowchart of a remote data processing method of a micro grid energy management system according to an embodiment of the present invention may include the following steps:
and step 201, establishing TCP connection between the client and the cloud server.
The cloud server is provided with a data return server program, the client is provided with a data return client program, and the data return server program and the data return client program are connected by TCP (transmission control protocol) so as to return field operation data in real time, thereby achieving the aim that the data of the cloud server is consistent with the field operation data.
In the hardware implementation, in order to realize the TCP connection between the client and the cloud server, a wireless router needs to be added to the client, and after the client accesses the wireless router, the client is connected to the internet on the cloud server through the mobile cellular network, so that the data can be returned to the cloud server on the cloud platform.
Step S202, the client acquires real-time operation data, and transmits the real-time operation data to the cloud server through the mobile cellular network.
The real-time operation data acquired by the client are remote feedback messages, and the adopted communication protocol is a private communication protocol based on TCP, and the protocol is designed as follows:
setting a default port number of a cloud service end monitoring TCP connection as 8010, and supporting modification of the port number. Under the condition that a communication link between the client and the cloud server is not established, the client periodically tries to establish connection with the cloud server, and the period time is 60 seconds; and under the condition that the communication link is established, the two-end full duplex communication mode is used for communication.
The format of the protocol message is shown in table 1, and includes a message header, a message length, a message type, a message content and a checksum, wherein the message type includes the following five types: the corresponding symbols of the heartbeat message, the micro-grid period remote signaling message, the micro-grid change remote signaling message, the micro-grid remote sensing message and the micro-grid remote control message are shown in table 2.
TABLE 1 message formats
TABLE 2 message types
Step S203, the cloud server receives the real-time operation data, and stores the real-time operation data.
Wherein, receiving the real-time operation data specifically includes:
the cloud server monitors TCP connection with the client based on the bound fixed wide area network IP address and port number, receives a return message sent by the client, and analyzes the return message to acquire the real-time operation data.
Wherein, storing the real-time operation data specifically includes:
classifying the real-time operation data into configuration data and time sequence data;
and storing the configuration data to a MySql database, and storing the time sequence data to an influxDB database. The MySql database is a preferable relational database, and the influxDB database is a preferable time sequence database.
As other embodiments, configuration data may also be stored to other types of relational databases, and timing data may be stored to other types of timing databases.
Optionally, the configuration data includes: the system parameter table is used for storing micro-grid parameter information; an inverter parameter table for storing inverter parameter information; an inverter signal table for storing inverter signal configuration information;
in one example, a system parameter table sys_para is shown in table 3-1, and is a MySql database table, including field names, types, descriptions, and default values, where the table is used to store grid parameter information including: system engineering number, system time of operation, and system mode of operation.
TABLE 3-1 System parameters table sys_para
In one example, an inverter parameter table inverter_para is shown in table 3-2, which is a MySql database table, and the inverter parameter information for storage includes: inverter number and name, belonging project number, primary key number, daily/annual energy production telemetry number, total energy production telemetry number, etc.
TABLE 3-2 inverter parameter table inverter_para
In one example, an inverter signal table, inverter_signal, is shown in tables 3-3, and is a MySql database table, and the inverter signal configuration information for storage includes: inverter number and name, the project number to which it belongs, primary key number, signal type and number, signal name, signal unit, etc.
TABLE 3 inverter signal table inverter_signal
Optionally, the time sequence data includes: a telemetry sample record table for storing telemetry sample records; and the remote signaling sampling record table is used for storing the remote signaling sampling record.
In one example, a remote signaling deflection record table yx is shown in table 4-1, which is an influxdb database table, the table including a primary key, a type, and a description, for storing remote signaling deflection records comprising: the engineering number, the equipment detection value, the alarm grade and the confirmation mark.
TABLE 4-1 remote signaling deflection record Table yx
In one example, a telemetry sample record table yc is shown in table 4-2 as an influxdb database table that includes a primary key, type, and description, for storing telemetry sample records comprising: the engineering number, the number of analog quantity signal and the analog quantity measurement value.
TABLE 4-2 telemetry sample record Table yc
Step S204, the cloud service side provides WEB release service based on the real-time operation data, acquires an information access request and displays data according to the information access request.
The cloud server processes the returned real-time operation data based on cloud computing and an Internet WEB technology, and publishes the processed real-time operation data to the Internet based on WEB publishing services to provide cloud access for users.
When the information access requests are different, the contents of the data presentation are different. The following are illustrated:
when the information access request is a report query request, carrying out report statistics of corresponding data according to the report query request, and carrying out report display;
when the information access request is an inverter control request, the cloud server generates a remote control command or a remote regulation command, the remote control command or the remote regulation command is sent to the client through the mobile cellular network, and the client is used for transmitting the remote control command or the remote regulation command to the inverter.
In order to acquire the information access request and perform data processing, a front-end program and a back-end program are arranged on the cloud server, wherein the front-end program is used for acquiring the information access request, and the back-end program is used for performing data processing.
For example, the information access request obtained by the cloud service side by using the set front-end program specifically includes: the cloud service end obtains the information access request based on a front-end page provided for a user to browse, wherein the front-end page comprises a webpage front-end page and/or an applet front-end page.
The quantity processing of the cloud service end by using the set back-end program comprises the following steps: and acquiring an information access request from the front-end page, performing data access to corresponding relation data or a time sequence database according to the information access request, and performing processing of concurrent requests. After the back-end program is released through the WEB, a user can browse the running state and information of the on-site energy management system through a webpage browser or a mobile phone applet.
Optionally, the remote data processing method further includes:
and the client displays the alarm information in real time based on an alarm window mode, and the alarm information is pushed to the front-end page through the cloud server.
The method comprises the steps that software in a client is provided with an advanced application layer and comprises a statistics calculation function and an alarm application function, specifically, the statistics calculation function is utilized to carry out result statistics and calculation of data, then threshold judgment is carried out on the statistical result, if the statistical result exceeds the threshold, alarm information is generated and used for carrying out alarm reminding, and then the alarm information is pushed to a front-end page in a mode of providing an alarm window, so that the alarm information is displayed in real time.
According to the invention, the cloud service end is additionally arranged in the micro-grid energy management system, the client and the cloud service end are connected by adopting the mobile cellular network to carry out TCP (transmission control protocol), remote real-time return of data is realized, and the returned data is subjected to WEB release, so that a user can conveniently monitor and maintain the data. In addition, the data transmission mode of the mobile cellular network is adopted, so that the on-site networking can be effectively reduced, the mobile cellular network is convenient and easy to use, the maintenance cost is reduced, and the mobile cellular network meets the trend of mobile Internet of things; the method of mutual coordination between the client and the cloud server can provide a convenient, quick and diversified monitoring operation and maintenance scheme, so that local data monitoring and maintenance can be realized, and remote data monitoring and maintenance can also be realized.
Referring to fig. 3, a micro-grid energy management system structure diagram provided by a second embodiment of the present invention includes a client, a cloud service end and a communication manager, where the client is connected to the cloud service end through a mobile cellular network, the communication manager is connected to the client through an RJ45 ethernet, and the communication manager is connected to the inverters 1, 2, … and N through an RS485 bus, and a private communication protocol based on TCP is adopted between the client and the cloud service end; on an RS485 bus, a MODBUS RTU protocol is adopted to carry out communication between a communication manager and an inverter; and the communication manager and the client adopt IEC-104 protocol for communication.
In fig. 3, a 4G wireless router is provided at a client, and when the client accesses the 4G wireless router, the client accesses the internet of the cloud server via a 4G network. In addition, the communication manager in fig. 3 can be extended to access other protocol devices later, and the other protocol devices are accessed without adding hardware, but only adding configuration or software upgrade. In addition, the client is connected with a power monitoring system screen through the mobile cellular network, and the power monitoring system screen is also connected with a cloud service end through the mobile cellular network, so that power monitoring data transmission between the power monitoring system screen and the cloud service end is realized.
Referring to fig. 4, a flowchart of a remote data processing method of a micro grid energy management system according to a second embodiment of the present invention may include the following steps:
step S401, establishing a TCP connection between the client and the cloud server.
Step S402, the client acquires real-time operation data, and transmits the real-time operation data to the cloud server through the mobile cellular network.
Step S403, the cloud server receives the real-time operation data and stores the real-time operation data.
Step S404, the cloud service side provides WEB release service based on the real-time operation data, acquires an information access request, and displays data according to the information access request.
The content types of steps S401 to S404 are the same as those of steps S201 to S204, and reference may be made to the descriptions of steps S201 to S204, which are not repeated here.
Prior to step S402, the remote data processing method further includes:
in step S411, the client sends telemetry information or a general call of telemetry information to the communication manager.
The method for determining the total call of the telemetry information or the remote signaling information comprises the following steps: the client side obtains an information access request, in particular one or more of a report query request, an inverter control request and a real-time data monitoring request from the cloud service side, and generates telemetry information or total summoning of remote signaling information according to the information access request.
In step S412, the client receives the telemetry information or the telemetry information sent by the communication manager, and stores the telemetry information or the telemetry information in the time sequence database.
After the communication manager receives the total call of the telemetry information or the remote signaling information sent by the client, the telemetry information or the remote signaling information is sent upwards, and the client stores the telemetry information or the remote signaling information in an infuxDB database.
In step S413, the client sends a remote control command or a remote adjustment command to the communication manager.
The method for determining the remote control command or the remote regulation command comprises the following steps: the client side obtains an information access request, in particular one or more of a report query request, an inverter control request and a real-time data monitoring request from the cloud server side, and generates a remote control command or a remote regulation command according to the information access request.
In step S414, the client receives the remote control command execution result or the remote adjustment command execution result sent by the communication manager.
After receiving the remote control command or the remote adjustment command sent by the client, the communication manager sends the remote control command execution result or the remote adjustment command execution result to the cloud server, and the client sends the remote control command execution result or the remote adjustment command execution result back to the cloud server through a front-end page or a mobile phone applet of the cloud server to feed back the result to the user.
In this embodiment, the steps S411 and S412 are two steps executed sequentially, the steps S413 and S414 are two steps executed sequentially, there is no strict execution relationship between the steps S411 and S413, and the two steps are parallel execution relationships, that is, the step S411 may be performed before the step S413, the step S411 may be performed after the step S413, or the steps S411 and S413 may be performed simultaneously.
Optionally, after step S411 and before step S412, the method further includes:
and the communication manager sends an inverter information inquiry request to the inverter through a read register, and receives the inverter information sent by the inverter through the read register.
Optionally, after step S413 and before step S414, the method further includes:
the communication manager sends a remote instruction to the inverter through a write register, wherein the remote instruction comprises a remote control command or a remote regulation command of the inverter; and receiving an instruction execution result sent by the inverter through the write register.
The communication manager obtains information of the inverter through reading the register and executes a remote command through writing the register based on RS485 bus communication and a communication protocol of the MODBUS RTU.
According to the micro-grid energy management system shown in FIG. 3, the embodiment of the invention realizes the data monitoring requirement and the data maintenance requirement of a user on the inverter side by utilizing the cooperative communication among the communication manager, the client and the cloud client, and the transmission flow of the whole data is shown in FIG. 5, so that the user can conveniently monitor and maintain the data locally or remotely. And the micro-grid energy management system also provides real-time alarm service for users when the system runs abnormally or fails, thereby being beneficial to improving the data maintenance efficiency.
Fig. 6 is a schematic structural diagram of a micro-grid energy management system according to a third embodiment of the present invention. As shown in fig. 6, the micro grid energy management system of this embodiment includes: the method comprises a client and a cloud server, wherein the client is connected with the cloud server through a mobile cellular network, and each of the client and the cloud server comprises at least one processor (only one is shown in fig. 6), a memory and a computer program which is stored in the memory and can run on the at least one processor, and the steps in any of the remote data processing method embodiments are realized when the computer program is executed by the processor.
The client is provided with an access layer, a platform layer, a basic application layer and an advanced application layer, and the cloud service end is provided with a cloud service application layer, as shown in fig. 7, the specific description of each layer is as follows:
for the access layer, the layer is an external equipment communication protocol interaction processing layer, and interacts with a communication manager by using a standard IEC-104 protocol, and the communication manager interacts with an inverter after protocol conversion.
For the platform layer, the layer is a platform service layer of software. The platform layer comprises MySql database service, and is based on the configuration information of a MySql relational database storage system; the influxDB real-time and time sequence data service stores telemetry, remote signaling and alarm information based on a time sequence database influxDB; the relevant configuration files are stored based on the file system.
For a basic application layer, the layer is built with a plurality of basic application services, and a service module comprises a file service module, a log service module, a permission service module, a data processing service module, a message bus service module and the like, wherein the file service module is used for realizing reading and writing of files, exporting of report files and the like according to a file reading and writing interface of QT; the log service module is used for storing the system operation key information and the abnormal information into a log file so as to analyze the problems; the authority service module is used for performing authority management, only the user side with authority verification can log in the system, and the user side with control authority can issue a control command; the data processing service module is used for classifying real-time and historical data, calculating statistics and the like; the message bus service module is used as an information interaction communication middleware among all application sub-processes to realize a communication function.
For the advanced application layer, the layer is built with multiple advanced application functions, and the functional modules comprise a configuration module, a real-time monitoring module, an alarm application module, a control module, a statistics calculation module and a report application module. The configuration module is used for providing a convenient and friendly system configuration interface and configuration scheme, so that configuration of the system is conveniently and efficiently completed; the real-time monitoring module is used for displaying a visual interface (SVG graph, pie chart, histogram, table, curve and the like) of the system real-time data; the alarm application module displays the alarm information of the system in real time in an alarm window mode and provides historical alarm information inquiry service; the control module is used for providing command control capable of issuing startup and shutdown to the inverter for a user with control authority, and reflecting the control operation process and result information on an operation interface in real time; the statistical calculation module classifies and summarizes statistical calculation processing based on telemetry, remote signaling and alarm information, and stores statistical results into a database according to the statistical data of hours, days, weeks, months, years and the like; the report application module is used for carrying out statistics generation and export of daily reports, weekly reports, monthly reports and annual reports of the generated energy, the power factor, the power and other data.
For a cloud service application layer, a WEB release module, a back-end program module, a front-end program module, a remote data receiving module and a remote data processing module are built on the layer, wherein the WEB release module is used for processing field returned data according to cloud computing and an Internet WEB technology, releasing the field returned data to the Internet and providing the user with cloud access; the back-end program module is used for processing cloud data, and comprises front-end request response, database access, concurrent request processing and the like; the front-end program module is used for providing a front-end page browsed by a user, and comprises a webpage front-end page and an applet front-end page; the remote data receiving module is used for binding the IP address and the port number of the fixed wide area network, monitoring the connection of a remote return program, receiving a remote return message and analyzing and processing the remote return message; the remote data processing module is used for logically processing the remote return information and storing the processed remote return information into the cloud database.
The client and cloud server may include, but are not limited to, a processor, a memory. It will be appreciated by those skilled in the art that fig. 6 is merely an example of a computer device (client and cloud server) and is not intended to be limiting, and that a computer device may include more or fewer components than shown, or may combine certain components, or may include different components, such as a network interface, a display screen, an input device, and so forth.
The processor may be a CPU, but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory includes a readable storage medium, an internal memory, etc., where the internal memory may be the memory of the computer device, the internal memory providing an environment for the execution of an operating system and computer-readable instructions in the readable storage medium. The readable storage medium may be a hard disk of a computer device, and in other embodiments may be an external storage device of the computer device, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. that are provided on the computer device. Further, the memory may also include both internal storage units and external storage devices of the computer device. The memory is used to store an operating system, application programs, boot loader (BootLoader), data, and other programs such as program codes of computer programs, and the like. The memory may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present invention. The specific working process of the units and modules in the above device may refer to the corresponding process in the foregoing method embodiment, which is not described herein again. The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above-described embodiment, and may be implemented by a computer program to instruct related hardware, and the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of the method embodiment described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code, a recording medium, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a U-disk, removable hard disk, magnetic or optical disk, etc. In some jurisdictions, computer readable media may not be electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The present invention may also be implemented as a computer program product for implementing all or part of the steps of the method embodiments described above, when the computer program product is run on a computer device, causing the computer device to execute the steps of the method embodiments described above.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/computer device and method may be implemented in other manners. For example, the apparatus/computer device embodiments described above are merely illustrative, e.g., the division of modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (10)
1. The utility model provides a remote data processing method of little electric wire netting energy management system, characterized in that, little electric wire netting energy management system includes customer end and cloud service end, the customer end passes through mobile cellular network and connects cloud service end, the remote data processing method includes:
establishing TCP connection between the client and the cloud server;
the client acquires real-time operation data and transmits the real-time operation data to the cloud server through the mobile cellular network;
the cloud server receives the real-time operation data and stores the real-time operation data;
and the cloud server provides WEB release service based on the real-time operation data, acquires an information access request, and performs data display according to the information access request.
2. The remote data processing method of claim 1, wherein storing the real-time operational data comprises:
classifying the real-time operation data into configuration data and time sequence data;
and storing the configuration data into a relational database, and storing the time sequence data into a time sequence database.
3. The remote data processing method according to claim 1 or 2, wherein the cloud service receiving the real-time operation data includes:
the cloud server monitors TCP connection with the client based on the bound fixed wide area network IP address and port number, receives a return message sent by the client, and analyzes the return message to acquire the real-time operation data.
4. The remote data processing method of claim 2, wherein the configuration data comprises: the system parameter table is used for storing micro-grid parameter information; an inverter parameter table for storing inverter parameter information; an inverter signal table for storing inverter signal configuration information;
the time sequence data comprises: a telemetry sample record table for storing telemetry sample records; and the remote signaling sampling record table is used for storing the remote signaling sampling record.
5. The remote data processing method according to claim 1, wherein when the information access request acquired by the cloud server is a real-time data monitoring request, acquiring corresponding time sequence data from a time sequence database for display;
when the information access request is a report query request, carrying out report statistics of corresponding data according to the report query request, and carrying out report display;
when the information access request is an inverter control request, the cloud server generates a remote control command or a remote regulation command, the remote control command or the remote regulation command is sent to the client through the mobile cellular network, and the client is used for transmitting the remote control command or the remote regulation command to the inverter.
6. The remote data processing method of claim 1, wherein the microgrid energy management system further comprises a communication manager communicatively coupled to the client via an ethernet network, the remote data processing method further comprising:
the client sends the total call of the telemetry information or the remote signaling information to the communication manager, receives the telemetry information or the remote signaling information sent by the communication manager, and stores the telemetry information or the remote signaling information in a time sequence database;
the client sends a remote control command or a remote regulation command to the communication manager, and receives a remote control command execution result or a remote regulation command execution result sent by the communication manager.
7. The remote data processing method according to claim 6, wherein the communication manager is connected to the inverter via a bus, the remote data processing method further comprising:
the communication manager sends an inverter information inquiry request to the inverter through a read register, and receives inverter information sent by the inverter through the read register;
the communication manager sends a remote instruction to the inverter through a write register, wherein the remote instruction comprises a remote control command or a remote regulation command of the inverter; and receiving an instruction execution result sent by the inverter through the write register.
8. The remote data processing method according to claim 1, wherein the obtaining, by the cloud service, the information access request includes:
the cloud service end obtains the information access request based on a front-end page provided for a user to browse, wherein the front-end page comprises a webpage front-end page and/or an applet front-end page.
9. The remote data processing method of claim 8, wherein the remote data processing method further comprises:
and the client displays the alarm information in real time based on an alarm window mode, and the alarm information is pushed to the front-end page through the cloud server.
10. A microgrid energy management system, characterized by comprising a client and a cloud server, the client being connected to the cloud server via a mobile cellular network, the client and the cloud server being adapted to implement the remote data processing method according to any one of claims 1 to 9 when executing a computer program.
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