Pole-mounted terminal storage battery intelligent detection system and method thereof

Abstract

The invention discloses a pole-mounted terminal storage battery intelligent detection system and method, and relates to the field of power distribution automation, and the pole-mounted terminal storage battery intelligent detection system comprises a plug-and-play connection module, a data acquisition and processing unit, a wireless communication module, a cloud service platform, and an energy management module. Data acquisition and analysis processing are performed on the storage battery through the data acquisition and processing unit, the data are sent to the cloud service platform through the wireless communication module, a remote control instruction from the cloud service platform is received through the wireless communication module, and automatic management of energy is realized through the energy management module. All-weather intelligent detection of the pole-mounted terminal storage battery is achieved, it is guaranteed that the pole-mounted terminal storage battery is in the optimal working state, the workload of operation and maintenance personnel is reduced, and the pole-mounted terminal storage battery detection system has the advantages of being intelligent, efficient, high in adaptability and high in reliability.

Description

Technical Field

[0001] The present invention relates to the field of power distribution automation, and in particular to an intelligent detection system and method for a column-mounted terminal battery. Background Art

[0002] With the development of mobile communication technology, the State Grid has upgraded its information technology in the field of communication transmission. In many areas, private communication networks have gradually become history, replaced by the use of mobile operators' public networks for business transmission, and achieved a technical transformation in the communication transmission of base stations to use mobile public networks to carry electricity services.

[0003] For example, the Chinese patent with announcement number CN201247972Y provides a new type of pole-mounted power distribution automation terminal device, in which the main control unit and the switch interface unit are connected by cables, the switch interface unit and the power supply unit are connected by wiring, and all the wiring terminals are pluggable terminals; the switch interface unit is composed of a sampling board, a remote control board, a power switching board and an operation panel, the sampling board, the remote control board and the power switching board are respectively installed on the bottom plate of the switch interface unit, the operation panel is the cover of the switch interface unit, the bottom plate and the operation panel are connected by cables and fastened by screws; the main control unit is composed of a main control board and two configurable communication boards, the two communication boards are installed in a plug-in manner and are at the same installation height as the main board; the power supply part includes a system power supply and a battery.

[0004] However, in the upgrade and optimization of the State Grid's communication network, the exponential increase in the amount of communication data has brought tremendous pressure on the reliability of core nodes and network robustness. The distributed data center solutions currently adopted by major domestic operators have greatly increased the requirements for power supply systems in order to meet business transmission needs, especially for base station nodes. In the process of transformation of mobile public networks, the capacity configuration of base stations has increased from more than ten watts to hundreds of watts. The increase in power consumption of base station equipment has brought huge challenges to the requirements of power supply. Therefore, it is necessary to accurately analyze the power capacity and effectively control it, so as to reduce the power capacity configuration and save construction costs without affecting business transmission.

[0005] In view of this, this application is hereby filed. Summary of the invention

[0006] The purpose of the present invention is to provide a pole-mounted terminal battery intelligent detection system and method thereof to solve the problems existing in the prior art.

[0007] The present invention is achieved through the following technical solutions:

[0008] A pole-mounted terminal battery intelligent detection system includes a plug-in connection module, a data acquisition and processing unit, a wireless communication module, a cloud service platform, and an energy management module, wherein the data acquisition and processing unit is connected to the plug-in connection module, the wireless communication module, the cloud service platform, and the energy management module via Ethernet to achieve data communication.

[0009] Preferably, the plug-in connection module is used to connect to a battery pack or a photovoltaic panel and to achieve data communication;

[0010] The data acquisition and processing unit is used to perform the following operations: collect data from the battery and perform processing and analysis to obtain battery detection data and perform configuration management on the current system;

[0011] The wireless communication module is used for the data acquisition and processing unit to transmit detection data to the cloud service platform, receive remote control instructions from the cloud service platform, communicate with the energy management module, execute the data instructions of the energy management module, and control the on and off of the battery pack or photovoltaic panel circuit to adjust the output power;

[0012] The cloud service platform is used to store and process the battery detection data, and obtain energy scheduling instructions according to preset operating conditions and battery detection data;

[0013] The energy scheduling instruction is used to instruct the wireless communication module to execute the corresponding instruction of the energy management module;

[0014] The energy management module is used to control the on and off of the battery pack or photovoltaic panel circuit through the wireless communication module according to the energy scheduling instructions of the cloud service platform, in combination with the photovoltaic panel circuit and the battery pack circuit, so as to adjust the output power.

[0015] Preferably, the detection data includes battery remaining capacity, battery remaining power, battery state of charge, battery voltage, battery health status, battery internal resistance, battery temperature, battery liquid temperature, battery plate voltage, battery current collection data, battery maximum discharge current and battery historical operation data;

[0016] The configuration management includes configuration management of measurement parameters, data storage, communication configuration, alarm thresholds, protocol versions and timing information;

[0017] The timing information includes data collection time, data processing time, communication time and data reporting time.

[0018] The present invention also provides a column terminal battery intelligent detection method, comprising the following steps:

[0019] S1: The battery intelligent detector automatically identifies the battery parameters corresponding to the battery monitoring module and the MPPT control module, and performs data collection;

[0020] S2: Process the battery data to obtain battery detection data;

[0021] S3: sending the detection data to a cloud service platform, and executing the following steps in the cloud service platform: presetting an operating condition, and obtaining an energy dispatch instruction according to the operating condition and the battery detection data;

[0022] Sending the energy dispatching instruction to the energy management module to control the on and off of the battery pack or photovoltaic panel circuit to adjust the output power;

[0023] Based on the battery detection data, obtain the corresponding battery health status and life assessment according to the algorithm model;

[0024] S4: judging whether there is abnormality detection and fault diagnosis of the battery according to the battery health status and life evaluation;

[0025] If it exists, a maintenance suggestion and a warning instruction are generated and uploaded to the cloud service platform, and the following steps are performed in the battery intelligent tester: alarm processing is performed, and the maintenance suggestion and warning instruction are issued;

[0026] S5: Receive maintenance suggestions and warning instructions, and perform alarm processing.

[0027] Preferably, the battery parameters include battery remaining capacity, battery remaining power, battery state of charge, battery voltage, battery health status, battery internal resistance, battery temperature, battery liquid temperature, battery plate voltage, battery current collection data, battery maximum discharge current and battery historical operation data.

[0028] Preferably, the operating conditions include the set working time, working frequency, working mode and equipment load of the equipment;

[0029] The energy scheduling instruction instructs to open the battery pack circuit and close the photovoltaic panel circuit when the load is higher than the first threshold;

[0030] When the load is lower than the second threshold, instruct to open the photovoltaic panel circuit and close the battery group circuit;

[0031] The first threshold is greater than the second threshold.

[0032] Preferably, the algorithm model includes a BP neural network algorithm model.

[0033] Preferably, the battery health condition includes a battery health status index;

[0034] The life assessment includes the remaining service life of the battery.

[0035] Preferably, the abnormality detection includes acquiring the data of the battery health status and life assessment in real time, determining whether a preset threshold is met, and if so, executing the fault diagnosis.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present invention realizes online monitoring and maintenance of pole-mounted terminal batteries through a plug-and-play connection module, a data acquisition and processing unit, a wireless communication module, a cloud service platform, and an energy management module, thereby reducing operation and maintenance costs, extending battery life, realizing intelligent energy scheduling, and ensuring reliable energy output.

[0038] 2. The present invention can realize flexible configuration of pole-mounted terminal batteries and meet the application requirements of different systems by performing configuration management on the current system, including configuration management of measurement parameters, data storage and communication configuration, alarm thresholds, protocol versions and timing information.

[0039] 3. The present invention realizes the collection and processing of different battery parameters by combining the configuration management of the data collection and processing unit, and adopts the wireless communication module for data transmission, so as to realize remote online monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0041] Figure 2 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the technical solution of the present invention, the technical solution of the present invention is clearly and completely described below in conjunction with the accompanying drawings of the present invention. Based on the embodiments in this application, other similar embodiments obtained by ordinary technicians in this field without making creative work should all fall within the scope of protection of this application. In addition, the directional words mentioned in the following embodiments, such as "up", "down", "left", "right", etc., are only reference to the directions of the accompanying drawings. Therefore, the directional words used are used to illustrate rather than limit the invention.

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] Embodiment 1

[0045] This embodiment aims to solve the health management problem of pole-mounted terminal batteries, realize intelligent battery detection, and provide effective battery health information for the smart energy management system.

[0046] like Figure 1 As shown, this embodiment provides a column terminal battery intelligent detection system including a plug-in connection module, a data acquisition and processing unit, a wireless communication module, a cloud service platform, and an energy management module, wherein the data acquisition and processing unit is connected to the plug-in connection module, the wireless communication module, the cloud service platform, and the energy management module via Ethernet to achieve data communication;

[0047] The plug-in connection module is used to connect the battery pack or the photovoltaic panel and realize data communication;

[0048] The data acquisition and processing unit is used to perform the following operations: collect data from the battery and perform processing and analysis to obtain battery detection data; perform configuration management on the current system;

[0049] The wireless communication module is used for the data acquisition and processing unit to transmit detection data to the cloud service platform and receive remote control instructions from the cloud service platform; it is connected to the energy management module for communication, executes the data instructions of the energy management module, controls the on and off of the battery pack or photovoltaic panel circuit, and adjusts the output power;

[0050] Furthermore, the wireless communication module includes a power wireless communication module and an intelligent communication unit, and the wireless communication module can be implemented in the form of a USB communication protocol or an Ethernet communication protocol.

[0051] The cloud service platform is used to store and process the battery detection data, and obtain energy scheduling instructions according to preset operating conditions and battery detection data;

[0052] The energy scheduling instruction is used to instruct the wireless communication module to execute the corresponding instruction of the energy management module;

[0053] The energy management module is used to control the on and off of the battery pack or photovoltaic panel circuit through the wireless communication module according to the energy scheduling instructions of the cloud service platform, in combination with the photovoltaic panel circuit and the battery pack circuit, so as to adjust the output power.

[0054] In the above technical solution,

[0055] The detection data includes the remaining capacity of the battery, the remaining power of the battery, the state of charge of the battery, the battery voltage, the health status of the battery, the internal resistance of the battery, the temperature of the battery, the temperature of the liquid in the battery, the voltage of the battery board, the current collection data of the battery, the maximum discharge current of the battery and the historical operation data of the battery. The detection data can be used to evaluate the health status of the battery and provide parameter support for fault diagnosis;

[0056] The configuration management includes configuration management of measurement parameters, data storage, communication configuration, alarm thresholds, protocol versions and timing information;

[0057] The timing information includes data collection time, data processing time, communication time and data reporting time;

[0058] Furthermore, the data collection time is set to collect and save the battery test data; the data processing time is set to calculate, analyze and process the collected battery test data; the communication time is set to send and send the communication data; the data reporting time is set to send abnormal, warning information and remote control instructions;

[0059] Furthermore, the cloud service platform is used to connect to the communication network through the communication base station, and the cloud server is connected to realize the wireless communication function; the plug-in connection module is used to provide an interface for the data acquisition and processing unit; the wireless communication module is used to establish a communication connection between the data acquisition and processing unit and the cloud service platform; the energy management module is used to manage the circuit on and off of the battery pack and the photovoltaic panel, so as to adjust the output power; the remaining capacity (Capacity) of the battery refers to the capacity that the battery can store when the battery is fully discharged under the environmental conditions of 20℃±5℃, with Ah as the unit of measurement. This parameter can represent the health status SOC of the battery, SOC=remaining capacity of the battery / total capacity of the battery×100%; the remaining capacity of the battery (StateoffCharge, SOC), indicating the remaining capacity of the battery; the state of charge (SOC) of the battery, the state of charge of the battery, is generally expressed as a percentage, indicating the remaining capacity of the battery, that is, the relationship between the total energy stored in the battery and the current remaining energy.

[0060] Embodiment 2

[0061] like Figure 2 As shown, this embodiment provides a detection method for a column terminal battery intelligent detection system described in the first embodiment.

[0062] The steps include:

[0063] S1: The battery intelligent detector automatically identifies the battery parameters corresponding to the battery monitoring module and the MPPT control module (electronic control system for tracking the maximum power point of the solar panel) and collects data;

[0064] S2: Process the battery data to obtain battery detection data;

[0065] S3: sending the detection data to a cloud service platform, and executing the following steps in the cloud service platform: presetting an operating condition, and obtaining an energy dispatch instruction according to the operating condition and the battery detection data;

[0066] Sending the energy dispatching instruction to the energy management module to control the on and off of the battery pack or photovoltaic panel circuit to adjust the output power;

[0067] Based on the battery detection data, obtain the corresponding battery health status and life assessment according to the algorithm model;

[0068] S4: judging whether there is abnormality detection and fault diagnosis of the battery according to the battery health status and life evaluation;

[0069] If it exists, a maintenance suggestion and a warning instruction are generated and uploaded to the cloud service platform, and the following steps are performed in the battery intelligent tester: alarm processing is performed, and the maintenance suggestion and warning instruction are issued;

[0070] S5: Receive maintenance suggestions and warning instructions, and perform alarm processing.

[0071] Preferably, the battery parameters include battery remaining capacity, battery remaining power, battery state of charge, battery voltage, battery health status, battery internal resistance, battery temperature, battery liquid temperature, battery plate voltage, battery current collection data, battery maximum discharge current and battery historical operation data.

[0072] Preferably, the operating conditions include the set working time, working frequency, working mode and equipment load of the equipment;

[0073] The energy scheduling instruction instructs to open the battery pack circuit and close the photovoltaic panel circuit when the load is higher than the first threshold;

[0074] When the load is lower than the second threshold, instruct to open the photovoltaic panel circuit and close the battery group circuit;

[0075] The first threshold is greater than the second threshold.

[0076] Preferably, the algorithm model includes a BP neural network algorithm model.

[0077] Preferably, the battery health condition includes a battery health status index;

[0078] The life assessment includes the remaining service life of the battery.

[0079] Preferably, the abnormality detection includes acquiring the data of the battery health status and life assessment in real time, determining whether a preset threshold is met, and if so, executing the fault diagnosis.

[0080] Further preferably, the step S2 comprises:

[0081] S201: The battery intelligent detector automatically identifies the battery parameters corresponding to the battery monitoring module and the MPPT control module, and performs data collection;

[0082] S202: Processing the battery data to obtain battery detection data;

[0083] S203: Send the detection data to a cloud service platform, and perform the following steps in the cloud service platform:

[0084] Preset the operating conditions, and obtain energy dispatch instructions according to the operating conditions and the battery detection data;

[0085] Sending the energy dispatching instruction to the energy management module to control the on and off of the battery pack or photovoltaic panel circuit to adjust the output power;

[0086] Based on the battery detection data, obtain the corresponding battery health status and life assessment according to the algorithm model;

[0087] S204: judging whether there is abnormality detection and fault diagnosis of the battery according to the battery health status and life evaluation;

[0088] If there is, maintenance suggestions and warning instructions are generated and uploaded to the cloud service platform, and the following steps are performed in the battery intelligent tester:

[0089] Perform alarm processing and issue the maintenance suggestions and early warning instructions;

[0090] S205: Receive maintenance suggestions and warning instructions, and perform alarm processing.

[0091] As one or more embodiments, the battery parameters include battery remaining capacity, battery remaining power, battery state of charge, battery voltage, battery health status, battery internal resistance, battery temperature, battery liquid temperature, battery panel voltage, battery current collection data, battery maximum discharge current and battery historical operation data.

[0092] As one or more embodiments, the operating conditions include a set working time, working frequency, working mode and equipment load of the equipment;

[0093] The energy scheduling instruction instructs to open the battery group circuit and close the photovoltaic panel circuit when the load is higher than the first threshold; and instructs to open the photovoltaic panel circuit and close the battery group circuit when the load is lower than the second threshold;

[0094] The first threshold is greater than the second threshold.

[0095] As one or more embodiments, the algorithm model includes a BP neural network algorithm model.

[0096] As one or more embodiments, the battery health status includes a battery health status index;

[0097] The life assessment includes the remaining service life of the battery.

[0098] As one or more embodiments, the abnormality detection includes acquiring data on the health status and life assessment of the battery in real time, determining whether a preset threshold is met, and if so, executing the fault diagnosis.

[0099] The column terminal battery intelligent detection system processes the battery parameters and data of the battery pack through the data acquisition and processing unit to obtain the battery detection data, thereby forming parameter support for the operation of the cloud service platform; the system is configured and managed through the data acquisition and processing unit to complete the judgment of the above-mentioned energy scheduling instructions, fault diagnosis, and abnormality detection.

[0100] The system described in this embodiment realizes an intelligent operation platform through a cloud service platform and a data acquisition and processing unit, remotely controls the energy management module of the data acquisition and processing unit, and intelligently manages the collection, processing, conversion and other links of the system, thereby forming a cloud platform + front-end collaborative management method to provide decision support for smart energy. The intelligent operation platform includes a data acquisition module, a data processing module, a database storage module, a data analysis module, a data visualization module and an intelligent recommendation module;

[0101] The data acquisition module is used to acquire parameter information of the battery, including the remaining capacity of the battery, the remaining power of the battery, the state of charge of the battery, the battery voltage, the health status of the battery, the internal resistance of the battery, the temperature of the battery, the temperature of the liquid in the battery, the voltage of the battery board, the current collection data of the battery, the maximum discharge current of the battery and the historical operation data of the battery, and send the obtained data to the database storage module;

[0102] The data processing module is used to receive the above parameter information and process the parameter information in the battery intelligent detection system to realize the sending of the above abnormality, warning information and remote control instructions; at the same time, the obtained parameter information is judged, evaluated, converted and other operations are performed to obtain the battery health status and life evaluation;

[0103] As an example of this embodiment, for the above-mentioned parameter information, the data processing module includes a battery parameter calculation unit, a historical data analysis unit and an intelligent recommendation unit; the battery parameter calculation unit is used to calculate the battery's SOC in real time based on the obtained battery parameter information, such as the battery's internal resistance, battery voltage, battery current and other parameters; the historical data analysis unit is used to analyze the historical data based on the obtained battery parameter information, and obtain the battery's SOC curve, SOC value, and life status for calculation and output, providing a basis for intelligent maintenance; the intelligent recommendation module is used to obtain the time and reminder information required for maintenance based on the battery's historical data, so that the user can make timely processing and improve work efficiency.

[0104] The database storage module is used to store parameter information in the data acquisition module;

[0105] The data analysis module performs data analysis on part of the data stored in the database to provide early warning information for the cloud service platform; the data analysis module compares part of the data stored in the database with a preset threshold value to issue early warning reminders for important data such as abnormalities, failures, and low capacity;

[0106] The data visualization module is used to visualize various data of the intelligent detector in the column terminal battery system and display them in real time;

[0107] The intelligent recommendation module is used to analyze the system's preset operating conditions, collected operating time, working mode and other information to achieve automatic learning of the optimal energy control strategy.

[0108] The present invention has been described in detail above. The above description is only a preferred embodiment of the present invention and should not limit the scope of implementation of the present invention. That is, all equivalent changes and modifications made within the scope of this application should still fall within the scope of the present invention.

Claims

1. A column terminal battery intelligent detection system, characterized in that: The system includes a plug-in connection module, a data acquisition and processing unit, a wireless communication module, a cloud service platform, and an energy management module. The data acquisition and processing unit is connected to the plug-in connection module, the wireless communication module, the cloud service platform, and the energy management module via Ethernet to achieve data communication.

2. The intelligent detection system for terminal batteries on a column according to claim 1 is characterized in that: The plug-in connection module is used to connect the battery pack or the photovoltaic panel and realize data communication; The data acquisition and processing unit is used to perform the following operations: collect data from the battery and perform processing and analysis to obtain battery detection data and perform configuration management on the current system; The wireless communication module is used for the data acquisition and processing unit to transmit detection data to the cloud service platform, receive remote control instructions from the cloud service platform, communicate with the energy management module, execute the data instructions of the energy management module, and control the on and off of the battery pack or photovoltaic panel circuit to adjust the output power; The cloud service platform is used to store and process the battery detection data, and obtain energy scheduling instructions according to preset operating conditions and battery detection data; The energy scheduling instruction is used to instruct the wireless communication module to execute the corresponding instruction of the energy management module; The energy management module is used to control the on and off of the battery pack or photovoltaic panel circuit through the wireless communication module according to the energy scheduling instructions of the cloud service platform, in combination with the photovoltaic panel circuit and the battery pack circuit, so as to adjust the output power.

3. The intelligent detection system for terminal batteries on a column according to claim 2 is characterized in that: The detection data includes battery remaining capacity, battery remaining power, battery state of charge, battery voltage, battery health status, battery internal resistance, battery temperature, battery liquid temperature, battery plate voltage, battery current collection data, battery maximum discharge current and battery historical operation data; The configuration management includes configuration management of measurement parameters, data storage, communication configuration, alarm thresholds, protocol versions and timing information; The timing information includes data collection time, data processing time, communication time and data reporting time.

4. A column terminal battery intelligent detection method, characterized in that: The detection method is applied to the column terminal battery intelligent detection system according to any one of claims 1 to 3, comprising the following steps: S1: The battery intelligent detector automatically identifies the battery parameters corresponding to the battery monitoring module and the MPPT control module, and performs data collection; S2: Process the battery data to obtain battery detection data; S3: sending the detection data to a cloud service platform, and executing the following steps in the cloud service platform: presetting an operating condition, and obtaining an energy dispatch instruction according to the operating condition and the battery detection data; Sending the energy dispatching instruction to the energy management module to control the on and off of the battery pack or photovoltaic panel circuit to adjust the output power; Based on the battery detection data, obtain the corresponding battery health status and life assessment according to the algorithm model; S4: judging whether there is abnormality detection and fault diagnosis of the battery according to the battery health status and life evaluation; If it exists, a maintenance suggestion and a warning instruction are generated and uploaded to the cloud service platform, and the following steps are performed in the battery intelligent tester: alarm processing is performed, and the maintenance suggestion and warning instruction are issued; S5: Receive maintenance suggestions and warning instructions, and perform alarm processing.

5. A column terminal battery intelligent detection method according to claim 4, characterized in that: The battery parameters include battery remaining capacity, battery remaining power, battery state of charge, battery voltage, battery health status, battery internal resistance, battery temperature, battery liquid temperature, battery plate voltage, battery current collection data, battery maximum discharge current and battery historical operation data.

6. A column terminal battery intelligent detection method according to claim 4, characterized in that: The operating conditions include the set working time, working frequency, working mode and equipment load of the equipment; The energy scheduling instruction instructs to open the battery pack circuit and close the photovoltaic panel circuit when the load is higher than the first threshold; When the load is lower than the second threshold, instruct to open the photovoltaic panel circuit and close the battery group circuit; The first threshold is greater than the second threshold.

7. A column terminal battery intelligent detection method according to claim 4, characterized in that: The algorithm model includes a BP neural network algorithm model.

8. The intelligent detection method for a column terminal battery according to claim 4 is characterized in that: The battery health status includes a battery health status index; The life assessment includes the remaining service life of the battery.

9. A column terminal battery intelligent detection method according to claim 8, characterized in that: The abnormality detection includes acquiring the data of the battery health status and life assessment in real time, determining whether a preset threshold is met, and if so, executing the fault diagnosis.

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