CN115733865A - Data acquisition, analysis and fault early warning system of photovoltaic tracking support system - Google Patents
Data acquisition, analysis and fault early warning system of photovoltaic tracking support system Download PDFInfo
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Abstract
The invention provides a data acquisition, analysis and fault early warning system of a photovoltaic tracking support system, wherein the photovoltaic tracking support system comprises a plurality of tracking supports; the data acquisition, analysis and fault early warning system comprises an NCU intelligent gateway, meteorological data acquisition equipment, position information acquisition equipment, a management monitoring cloud platform and a plurality of tracking support controllers, wherein the NCU intelligent gateway is in communication connection with the management monitoring cloud platform, and the tracking support controllers correspond to the tracking supports one to one. The photovoltaic tracking support system management system can be used for performing transverse and longitudinal comparison analysis on system data, operation data, meteorological data and position information of the photovoltaic tracking support system, is convenient for management personnel to perform remote monitoring, can identify early signs of faults and make judgment and early warning on fault levels and development trends, is convenient to determine the optimal maintenance opportunity, and realizes the whole life cycle management of the photovoltaic tracking support system.
Description
Technical Field
The invention relates to the technical field of photovoltaic tracking supports, in particular to a data acquisition, analysis and fault early warning system of a photovoltaic tracking support system.
Background
The working principle of the photovoltaic tracking support is as follows: according to the information such as the longitude and latitude of the installation position of the solar panel, the solar ray angles of different moments of each day in the year are calculated, the solar ray angles of all moments in the year are stored in a controller of a tracking system, and the sun tracking control is realized according to the solar ray angles of all moments of the installation position of the solar panel. During the operation process of the photovoltaic tracking support, operation faults may occur, for example, faults such as over-current of a motor and large deviation of an operation angle, and if the faults are not processed in time, the power generation efficiency and the safety of the solar cell panel are affected. Therefore, the running state of the photovoltaic tracking support needs to be monitored, faults are judged and early-warned, and management of the photovoltaic tracking support is facilitated.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a data acquisition, analysis and fault early warning system of a photovoltaic tracking support system, which integrates factors such as application environment, climate and the like of the photovoltaic tracking support system, performs transverse and longitudinal comparison analysis by combining operation data of a tracking support, identifies early signs of faults, judges and early warns the development trend of the faults, is convenient to determine the optimal overhaul opportunity and realizes the full-life cycle management of the photovoltaic tracking support system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a data acquisition, analysis and fault early warning system of a photovoltaic tracking support system comprises a plurality of tracking supports; data acquisition, analysis and trouble early warning system include NCU intelligent gateway, meteorological data acquisition equipment, positional information acquisition equipment, management control cloud platform and a plurality of tracking support controller, meteorological data acquisition equipment positional information acquisition equipment with NCU intelligent gateway communication is connected, NCU intelligent gateway with management control cloud platform communication is connected, tracking support controller with track support one-to-one, a plurality of tracking support controllers with NCU intelligent gateway communication is connected.
The meteorological data acquisition equipment is used for acquiring meteorological data of the photovoltaic tracking support system and sending the meteorological data to the NCU intelligent gateway; the position information acquisition equipment is used for acquiring the position information of the photovoltaic tracking support system and sending the position information to the NCU intelligent gateway; and each tracking support controller acquires system data and operation data of a corresponding tracking support and sends the system data and the operation data to the NCU intelligent gateway.
The NCU intelligent gateway receives and stores the meteorological data, the position information and the system data and the operation data sent by the plurality of tracking support controllers, compares and analyzes the data based on a rule engine, generates corresponding alarm information and reports the alarm information to the management monitoring cloud platform.
The management monitoring cloud platform receives the meteorological data, the position information, the system data and the operation data corresponding to the plurality of tracking supports and the alarm information, displays the meteorological data, the position information, the system data and the operation data corresponding to the plurality of tracking supports and the alarm information in a multi-dimensional mode, counts and displays access equipment quantity, communication data quantity and abnormal alarm event quantity, performs longitudinal and transverse comparison and analysis on the operation data corresponding to each tracking support, identifies early signs of faults, and judges and warns fault positions, fault severity and development trends.
Preferably, the system data includes device name, serial number, device address, device model, parameters, and investment time of the corresponding tracking support; the operation data comprises motor current, angle posture, battery power and working mode data of the corresponding tracking support.
Preferably, the alarm information includes motor overcurrent alarm information, battery capacity fade alarm information, and drive device angle deviation alarm information.
Preferably, the method for the NCU intelligent gateway to compare and analyze data based on the rule engine and generate corresponding alarm information includes: when the motor current of the tracking support exceeds a set current threshold value, triggering the NCU intelligent gateway to generate motor overcurrent alarm information; when the battery capacity of the tracking support is lower than a set battery capacity threshold value, triggering the NCU intelligent gateway to generate the battery capacity attenuation alarm information; and when the angle of the driving device of the tracking support exceeds a set angle threshold value, triggering the NCU intelligent gateway to generate driving device angle deviation warning information.
Preferably, the method for performing longitudinal and transverse comparative analysis on the operation data corresponding to each tracking support by the management monitoring cloud platform comprises the following steps: the management monitoring cloud platform longitudinally compares and analyzes historical operating data of each tracking support with current operating data of the tracking support, and when the deviation between the current operating data and the historical operating data of a certain tracking support exceeds a corresponding set threshold value, the tracking support is judged to possibly have a fault and early warning is carried out; the management monitoring cloud platform carries out transverse comparison and analysis on current operation data of a plurality of similar tracking supports, and when the deviation between the operation data of a certain tracking support and the operation data of other tracking supports exceeds a corresponding set threshold value, the tracking support is judged to possibly have a fault and early warning is carried out.
Preferably, the fault grades are divided into three grades of light fault, medium fault and serious fault, and are judged and determined according to the motor current value of the tracking support.
Preferably, when the motor current of the tracking bracket is greater than or equal to 7A and less than 8A, the tracking bracket is judged to be in a slight fault; when the motor current of the tracking bracket is more than or equal to 8A and less than 10A, judging that the tracking bracket has a moderate fault; and when the motor current of the tracking support is 10A or more, judging that the tracking support has a serious fault.
Preferably, the management monitoring cloud platform is further configured to issue tasks and control instructions to the plurality of tracking rack controllers through the NCU intelligent gateway.
Preferably, the data acquisition, analysis and fault early warning system further comprises a PC end, a mobile terminal and a monitoring terminal, wherein the PC end, the mobile terminal and the monitoring terminal are respectively in communication connection with the management monitoring cloud platform, and when the management monitoring cloud platform monitors that the tracking support has a fault, the management monitoring cloud platform sends the fault position, the fault type and the fault reason to the PC end, the mobile terminal and the monitoring terminal.
Preferably, the meteorological data acquisition equipment is a self-powered meteorological station, and the meteorological data acquisition equipment and the NCU intelligent gateway are communicated in a local area network communication mode or an RS485 serial port communication mode; the position information acquisition equipment adopts a Beidou positioning technology or a GPS positioning technology; the NCU intelligent gateway and the management monitoring cloud platform are communicated in an Internet of things communication mode; and the plurality of tracking support controllers and the NCU intelligent gateway are communicated in an Internet of things communication mode.
Compared with the prior art, the invention has the beneficial effects that: the data acquisition, analysis and fault early warning system can synthesize system data, operation data, meteorological data and position information of the photovoltaic tracking support system to perform transverse and longitudinal comparison and analysis, is convenient for managers to perform remote monitoring, can identify early signs of faults and make judgment and early warning on fault levels and development trends, is convenient to determine the optimal overhaul opportunity, and realizes the whole life cycle management of the photovoltaic tracking support system. With the increase of various state monitoring data, operation data and environment data generated in the operation of the photovoltaic tracking support system, the risk of future problems of the photovoltaic tracking support system is analyzed and early warned by utilizing the data, and guidance can be provided for planned maintenance, resource allocation and the like.
Drawings
Fig. 1 is a schematic structural diagram of a data acquisition, analysis and fault early warning system of a photovoltaic tracking support system according to an embodiment of the present invention.
In the figure, 10-NCU intelligent gateway, 20-meteorological data acquisition equipment, 30-position information acquisition equipment, 40-management monitoring platform, 50-tracking support controller, 60-PC terminal, 70-mobile terminal and 80-monitoring terminal.
Detailed Description
In order to further understand the objects, structures, features and functions of the present invention, the following embodiments are described in detail.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a data acquisition, analysis and fault early warning system of a photovoltaic tracking support system according to an embodiment of the present invention. In the data acquisition, analysis and fault early warning system of the photovoltaic tracking support system according to an embodiment of the present invention, the photovoltaic tracking support system includes a plurality of tracking supports (not shown in the figure), the data acquisition, analysis and fault early warning system includes an NCU (Network Control Unit) intelligent gateway 10, a meteorological data acquisition device 20, a position information acquisition device 30, a management monitoring cloud platform 40 and a plurality of tracking support controllers 50, the meteorological data acquisition device 20 and the position information acquisition device 30 are in communication connection with the NCU intelligent gateway 10, the NCU intelligent gateway 10 is in communication connection with the management monitoring cloud platform 40, the tracking support controllers 50 are in one-to-one correspondence with the tracking supports, and the plurality of tracking support controllers 50 are in communication connection with the NCU intelligent gateway 10.
The meteorological data acquisition equipment 20 is used for acquiring meteorological data of the photovoltaic tracking support system and sending the meteorological data to the NCU intelligent gateway 10, wherein the meteorological data can comprise wind power, wind direction, temperature, illumination and the like. The position information collecting device 30 is used for collecting position information of the photovoltaic tracking support system and sending the position information to the NCU intelligent gateway 10, and the position information may include longitude, latitude and other data. Each tracking rack controller 50 collects system data and operational data of the corresponding tracking rack and sends the data to the NCU intelligent gateway 10. The system data can comprise data such as equipment name, serial number, equipment address, equipment model, parameters, input time and the like of the corresponding tracking support; the operational data may include data corresponding to the motor current, angular attitude, battery level, operating mode, etc. of the tracking support.
The NCU intelligent gateway 10 receives and stores the meteorological data, the position information and the system data and the operation data sent by the plurality of tracking support controllers, compares and analyzes the data based on a rule engine, generates corresponding alarm information and reports the alarm information to the management monitoring cloud platform.
In some embodiments, the warning information includes motor overcurrent warning information, battery capacity fade warning information, drive device angle deviation warning information, and the like. Correspondingly, the method for the NCU intelligent gateway to compare and analyze the data and generate corresponding alarm information based on the rule engine comprises the following steps: when the motor current of the tracking support exceeds a set current threshold value, triggering the NCU intelligent gateway 10 to generate motor overcurrent alarm information; when the battery capacity of the tracking support is lower than a set battery capacity threshold value, triggering the NCU intelligent gateway 10 to generate battery capacity attenuation alarm information; and when the angle of the driving device of the tracking support exceeds a set angle threshold value, triggering the NCU intelligent gateway 10 to generate driving device angle deviation warning information. For example, an abnormal seizure of the mechanical structure of the tracking bracket may cause an increase in motor current, and by comparing the motor current of the tracking bracket to a current threshold, it may be determined whether the tracking bracket has an early sign of a mechanical failure. The current threshold, the battery capacity threshold and the angle threshold can be determined by analyzing historical operation data of the tracking support with the fault.
In an embodiment, the current threshold is 7A, when the motor current of a certain tracking support is greater than or equal to 7A, the NCU intelligent gateway 10 generates motor overcurrent alarm information corresponding to the tracking support and reports the motor overcurrent alarm information to the management monitoring cloud platform 40; the battery capacity threshold is 20%, and when the capacity of the capacitor of a certain tracking support is lower than 20%, the NCU intelligent gateway 10 generates the battery capacity attenuation alarm information corresponding to the tracking support and reports the battery capacity attenuation alarm information to the management monitoring cloud platform 40.
The management monitoring cloud platform 40 receives the meteorological data, the position information, the system data and the operation data corresponding to the plurality of tracking supports and the alarm information, displays the meteorological data, the position information, the system data and the operation data corresponding to the plurality of tracking supports and the alarm information in a multi-dimensional mode, counts and displays the access equipment amount, the communication data amount and the abnormal alarm event amount, performs longitudinal and transverse comparison and analysis on the operation data corresponding to each tracking support, identifies early signs of faults, and judges and warns fault positions, fault severity and development trends.
In application, the management monitoring cloud platform 40 can display the meteorological data, the position information, the system data and the operation data corresponding to the tracking supports, the alarm information, the access equipment amount, the communication data amount, the abnormal alarm event amount, the equipment parameters, the monitoring parameters and the like in various ways such as a broken line graph, a bar graph, a pie graph, a report form, a table and the like, help managers to intuitively know the operation state change of the photovoltaic tracking support system, and perform an auxiliary decision by combining data analysis. By utilizing the management monitoring cloud platform 40, the running state of each tracking support can be remotely monitored, the risk of fault occurrence is early warned, and the optimal overhaul opportunity is convenient to determine so as to scientifically manage the photovoltaic tracking support system.
Specifically, the method for performing longitudinal and transverse comparative analysis on the operation data corresponding to each tracking support by the management monitoring cloud platform 40 includes: the management monitoring cloud platform 40 longitudinally compares and analyzes the historical operating data and the current operating data of each tracking support, and when the deviation between the current operating data and the historical operating data of a certain tracking support exceeds a corresponding set threshold value, the tracking support is judged to be possibly broken down and early-warning is carried out; the management monitoring cloud platform 40 performs transverse comparison and analysis on current operation data of a plurality of similar tracking supports, and when the deviation between the operation data of a certain tracking support and the operation data of other tracking supports exceeds a corresponding set threshold, it is determined that the tracking support may have a fault and early warning is performed. Wherein, the corresponding set threshold value can be determined by analyzing the historical operation data of the tracking support which generates the fault. For example, in one embodiment, the set threshold of the motor current is 2A, the historical operating data of the motor currents of a plurality of tracking brackets of the same type are 5A, and when the current motor current value of a certain tracking bracket exceeds 7A and the current motor currents of other tracking brackets are still 5A, through longitudinal and transverse comparison analysis, the deviation between the current motor current of the tracking bracket and the historical operating data of the motor current and the deviation between the current motor current of the tracking bracket and the motor currents of other tracking brackets exceed the set threshold of the motor current, so that the tracking bracket is judged to possibly have a fault and an early warning is given.
In some embodiments, the location of the fault (i.e., the location of the faulty tracking rack in the photovoltaic tracking rack system) may be determined from system data (equipment serial number, equipment address, etc.) of the faulty tracking rack. The fault grades are divided into three grades of light fault, medium fault and serious fault, and are judged and determined according to the motor current value of the tracking support. In one embodiment, when the motor current of the tracking bracket is greater than or equal to 7A and less than 8A, the tracking bracket is judged to be a slight fault; when the motor current of the tracking bracket is more than or equal to 8A and less than 10A, judging that the tracking bracket has a moderate fault; and when the motor current of the tracking support is 10A or more, judging that the tracking support is in a serious fault. When the tracking support has a slight fault, a tracking support controller continuously acquires motor current data of the tracking support without taking special measures, and if the motor current data is continuously increased, the tracking support is judged to have a trend of developing from slight faults to moderate faults; when the tracking support has a moderate fault, a maintenance worker needs to be reminded to carry out field inspection on the tracking support outside the operation time of the tracking support, a tracking support controller continuously collects motor current data of the tracking support, and if the motor current data are continuously increased, the tracking support is judged to have a trend of developing from the moderate fault to a serious fault; when the tracking support has a serious fault, the tracking support needs to be stopped immediately, and maintenance personnel are informed to carry out on-site inspection and maintenance in time. Of course, the present invention is not limited thereto, and in other embodiments, the number of fault classes and the motor current range corresponding to each class may also be reasonably adjusted according to actual situations.
The photovoltaic tracking bracket system collects system data and operation data of the photovoltaic tracking bracket system, utilizes a plurality of online monitoring means, integrates factors such as application environment, climate and the like of the photovoltaic bracket system, carries out longitudinal (history and current situation) and transverse (operation condition of the same type of photovoltaic bracket system) comparative analysis on the operation state of the photovoltaic tracking bracket system, identifies early signs of faults, judges and early warns fault positions, fault severity and development trend, and determines the optimal maintenance time, thereby realizing the management of the whole life cycle of the photovoltaic bracket system. In addition, with the increase of various state monitoring data, operation data and environment data generated in the operation of the photovoltaic tracking support system, the data are utilized to analyze the risk of future problems of the photovoltaic tracking support system, and guidance can be provided for planned maintenance, resource allocation and the like.
In the preferred embodiment of the present invention, the NCU intelligent gateway 10 can perform networking and management on a plurality of tracking support controllers 50, and perform acquisition of parameters, setting of parameters, issue of tasks, and issue of control instructions; the management monitoring cloud platform 40 is also configured to issue tasks and control instructions to the plurality of tracking leg controllers 50 through the NCU intelligent gateway 10.
In a preferred embodiment of the present invention, the data collecting, analyzing and fault early warning system further includes a PC (Personal Computer) terminal 60, a mobile terminal 70 and a monitoring terminal 80, the PC terminal 60, the mobile terminal 70 and the monitoring terminal 80 are respectively in communication connection with the management monitoring cloud platform 40, and the mobile terminal may be a mobile phone, an iPad, a PDA (Personal Digital Assistant) device, and the like. When the management monitoring cloud platform 40 monitors that the tracking support has a fault, the management monitoring cloud platform 40 sends the fault position, the fault type, the fault reason and the like to the PC terminal 60, the mobile terminal 70 and the monitoring terminal 80 in the form of short messages, mails, system messages and the like, so as to remind or inform a manager of timely repairing the fault.
In a preferred embodiment of the present invention, the meteorological data collecting device 20 may be a self-powered meteorological station, and the meteorological data collecting device 20 and the NCU intelligent gateway 10 may communicate in a Local Area Network (LAN) communication manner or in an RS485 serial communication manner. The position information collecting device 20 may adopt a Beidou Positioning technology or a GPS (Global Positioning System) Positioning technology. The NCU intelligent gateway 10 and the management monitoring cloud platform 10 may communicate in a communication manner of the internet of things, such as communication technologies of 4G, 5G, or light. The plurality of tracking support controllers 50 and the NCU smart gateway 10 may communicate using internet of things communication.
In summary, the invention provides a data acquisition, analysis and fault early warning system for a photovoltaic tracking support, which can synthesize system data, operation data, meteorological data and position information of the photovoltaic tracking support system to perform transverse and longitudinal comparison and analysis, is convenient for managers to perform remote monitoring, can identify early signs of faults and make judgment and early warning on fault development trends, is convenient for determining the optimal maintenance opportunity, and realizes the whole life cycle management of the photovoltaic tracking support system. With the increase of various state monitoring data, operation data and environmental data generated in the operation of the photovoltaic tracking support system, the risk of future problems of the equipment is analyzed and early warned by utilizing the data, and guidance can be provided for planned maintenance, resource allocation and the like.
The present invention has been described in relation to the above embodiments, which are only exemplary of the implementation of the present invention. It should be noted that the disclosed embodiments do not limit the scope of the invention. Rather, it is intended that all such modifications and variations be included within the spirit and scope of this invention.
Claims (10)
1. The utility model provides a photovoltaic tracking mounting system's data acquisition, analysis and trouble early warning system which characterized in that: the photovoltaic tracking rack system comprises a plurality of tracking racks; the data acquisition, analysis and fault early warning system comprises an NCU intelligent gateway, meteorological data acquisition equipment, position information acquisition equipment, a management monitoring cloud platform and a plurality of tracking support controllers, wherein the meteorological data acquisition equipment and the position information acquisition equipment are in communication connection with the NCU intelligent gateway;
the meteorological data acquisition equipment is used for acquiring meteorological data of the photovoltaic tracking support system and sending the meteorological data to the NCU intelligent gateway; the position information acquisition equipment is used for acquiring the position information of the photovoltaic tracking support system and sending the position information to the NCU intelligent gateway; each tracking support controller acquires system data and operation data of a corresponding tracking support and sends the system data and the operation data to the NCU intelligent gateway;
the NCU intelligent gateway receives and stores the meteorological data, the position information and the system data and the operation data sent by the plurality of tracking support controllers, compares and analyzes the data based on a rule engine, generates corresponding alarm information and reports the alarm information to the management monitoring cloud platform;
the management monitoring cloud platform receives the meteorological data, the position information, the system data and the operation data corresponding to the plurality of tracking supports and the alarm information, displays the meteorological data, the position information, the system data and the operation data corresponding to the plurality of tracking supports and the alarm information in a multi-dimensional mode, counts and displays access equipment quantity, communication data quantity and abnormal alarm event quantity, performs longitudinal and transverse comparison and analysis on the operation data corresponding to each tracking support, identifies early signs of faults, and judges and warns fault positions, fault severity and development trends.
2. The photovoltaic tracking mounting system data acquisition, analysis and fault early warning system of claim 1, characterized in that: the system data comprises the equipment name, the serial number, the equipment address, the equipment model, the parameters and the input time of the corresponding tracking support; the operation data comprises motor current, angle posture, battery power and working mode data of the corresponding tracking support.
3. The photovoltaic tracking mounting system data acquisition, analysis and fault early warning system of claim 1, characterized in that: the alarm information comprises motor overcurrent alarm information, battery capacity attenuation alarm information and driving device angle deviation alarm information.
4. The photovoltaic tracking mounting system data acquisition, analysis and fault early warning system of claim 3, wherein: the method for the NCU intelligent gateway to compare and analyze the data and generate the corresponding alarm information based on the rule engine comprises the following steps: when the motor current of the tracking support exceeds a set current threshold value, triggering the NCU intelligent gateway to generate motor overcurrent alarm information; when the battery capacity of the tracking support is lower than a set battery capacity threshold value, triggering the NCU intelligent gateway to generate the battery capacity attenuation alarm information; and when the angle of the driving device of the tracking support exceeds a set angle threshold value, triggering the NCU intelligent gateway to generate driving device angle deviation warning information.
5. The photovoltaic tracking mounting system data acquisition, analysis and fault early warning system of claim 1, characterized in that: the method for performing longitudinal and transverse comparative analysis on the operation data corresponding to each tracking support by the management monitoring cloud platform comprises the following steps: the management monitoring cloud platform longitudinally compares and analyzes historical operating data of each tracking support with current operating data of the tracking support, and when the deviation between the current operating data and the historical operating data of a certain tracking support exceeds a corresponding set threshold value, the tracking support is judged to possibly have a fault and early warning is carried out; the management monitoring cloud platform carries out transverse comparison and analysis on current operation data of a plurality of similar tracking supports, and when the deviation between the operation data of a certain tracking support and the operation data of other tracking supports exceeds a corresponding set threshold value, the tracking support is judged to possibly have a fault and early warning is carried out.
6. The photovoltaic tracking mounting system data acquisition, analysis and fault early warning system of claim 5, wherein: the fault grades are divided into three grades of light fault, medium fault and serious fault, and are judged and determined according to the motor current value of the tracking support.
7. The photovoltaic tracking mounting system data acquisition, analysis and fault early warning system of claim 6, wherein: when the motor current of the tracking support is more than or equal to 7A and less than 8A, judging that the tracking support has a slight fault; when the motor current of the tracking bracket is more than or equal to 8A and less than 10A, judging that the tracking bracket has a moderate fault; and when the motor current of the tracking support is 10A or more, judging that the tracking support has a serious fault.
8. The data acquisition, analysis and fault pre-warning system of a photovoltaic tracking rack system of any one of claims 1-7, characterized in that: the management monitoring cloud platform is further used for issuing tasks and control instructions to the plurality of tracking support controllers through the NCU intelligent gateway.
9. The photovoltaic tracking rack system data acquisition, analysis and fault early warning system of any one of claims 1-7, characterized in that: the data acquisition, analysis and fault early warning system further comprises a PC end, a mobile terminal and a monitoring terminal, wherein the PC end, the mobile terminal and the monitoring terminal are respectively in communication connection with the management monitoring cloud platform, and when the management monitoring cloud platform monitors that the tracking support breaks down, the management monitoring cloud platform sends a fault position, a fault type and a fault reason to the PC end, the mobile terminal and the monitoring terminal.
10. The photovoltaic tracking rack system data acquisition, analysis and fault early warning system of any one of claims 1-7, characterized in that: the meteorological data acquisition equipment is a self-powered meteorological station, and the meteorological data acquisition equipment and the NCU intelligent gateway are communicated in a local area network communication mode or an RS485 serial port communication mode; the position information acquisition equipment adopts a Beidou positioning technology or a GPS positioning technology; the NCU intelligent gateway and the management monitoring cloud platform are communicated in an Internet of things communication mode; and the plurality of tracking support controllers and the NCU intelligent gateway are communicated in an Internet of things communication mode.
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