Equipment energy storage power supply remote intelligent management system based on Internet of Things

Abstract

The invention relates to the technical field of energy storage power supply management, and discloses an equipment energy storage power supply remote intelligent management system based on the Internet of Things. Comprising a data acquisition and processing module, an analysis prediction management module, an energy storage power supply management module, a charging and discharging management module, a remote management and control module, an operation and maintenance management module, an analysis and linkage management module, a safety and risk management module and a micro-grid display module. According to the invention, different management strategies can be adopted for the energy storage power supply through the energy storage power supply management module, so that the maximum benefit can be obtained; through the charging and discharging management module, different schemes can be adopted to carry out charging and discharging management on the energy storage power supply when the power grid system is in a power consumption peak period and a non-power consumption peak period, and efficient operation of the energy storage power supply is ensured. Coordinated operation among the distributed power generation system, the energy storage power supply and the power grid system can be realized through the remote management and control module, so that high utilization efficiency of the energy storage power supply is realized.

Description

Technical Field

[0001] This invention relates to the field of energy storage power management technology, specifically to a remote intelligent management system for device energy storage power based on the Internet of Things. Background Technology

[0002] Energy storage power supplies are power devices capable of storing electrical energy. They can store energy when power is plentiful and release it during peak demand periods or grid failures to ensure a stable power supply. Energy storage power supplies typically use high-performance batteries or supercapacitors as storage components, featuring high efficiency, long lifespan, and high reliability. Furthermore, energy storage power supplies play a crucial role in new energy vehicles, smart grids, and distributed energy resources. With technological advancements and cost reductions, the application prospects of energy storage power supplies will become even broader. Advanced intelligent management technologies can optimize energy efficiency, improve system reliability, and extend equipment lifespan.

[0003] Chinese patent disclosure discloses an AI-based energy storage power management system (authorization announcement number CN116961068B). This patented technology uses the changing patterns of electricity consumption at photovoltaic charging stations within a cycle to predict electricity consumption in certain metering periods. For metering periods with poor regularity, it uses the relationship between electricity consumption and traffic flow on selected associated lines to predict electricity consumption in another metering period. Through the combination of these two methods, it can predict electricity consumption in each metering period, thus facilitating accurate planning of electricity consumption strategies for photovoltaic charging stations. When grid assistance is needed, it can maximize the uniformity of grid output, reduce the impact on the grid, and minimize the number of grid connections, reducing power loss during power transmission between the grid and the energy storage unit. However, it cannot optimize the management of the energy storage power source, resulting in low utilization efficiency. Summary of the Invention

[0004] The purpose of this invention is to provide a remote intelligent management system for device energy storage power supply based on the Internet of Things, so as to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] The IoT-based remote intelligent management system for device energy storage power supplies includes a data acquisition and processing module, an analysis and prediction management module, an energy storage power supply management module, a charge and discharge management module, a remote control module, an operation and maintenance management module, an analysis and linkage management module, a safety and risk management module, and a microgrid display module; among which,

[0007] The data acquisition and monitoring module is used to collect and process power generation data from distributed generation systems, power quality data from power grid systems, meteorological and environmental data, and energy storage power performance data.

[0008] The analysis and forecasting management module is used to forecast battery status, power generation of distributed generation systems, and equipment power load.

[0009] The energy storage power management module is used to apply different management strategies to the energy storage power.

[0010] The charge and discharge management module is used to divide the energy storage power supply into two groups and adopt different schemes to manage the charge and discharge of the energy storage power supply during peak and off-peak electricity consumption periods of the power grid system.

[0011] The remote control module is used to monitor the frequency of distributed generation systems, energy storage power sources and grid systems in real time, so as to realize the coordinated operation of the three systems.

[0012] The microgrid display module is used to display in real time the data acquisition and processing information, alarm handling information, control and operation record information between the distributed generation system, energy storage power supply and the power grid system.

[0013] As a further aspect of the present invention: in the energy storage power management module, its management strategies include an optimal discharge management strategy, an optimal lifespan management strategy, and an optimal performance management strategy, wherein,

[0014] The optimal discharge management strategy maximizes the use of battery energy by scheduling the discharge time and amount of the battery based on the battery's performance status and the device's power demand.

[0015] The optimal lifespan management strategy maximizes battery life by controlling the charging and discharging current and depth based on battery characteristics and lifespan curve.

[0016] Optimal performance management strategy is the best solution that balances performance and cost by comprehensively considering energy efficiency and battery life.

[0017] As a further aspect of the present invention: in the charge / discharge management module,

[0018] The following are the charging and discharging management schemes for the power grid system during peak electricity consumption periods:

[0019] If the power generation of the distributed generation system exceeds the power load demand of the equipment, the excess power generation will be transmitted and sold to the power grid system.

[0020] If the power generation of the distributed generation system is less than the power load demand of the equipment, and a group of energy storage power sources in the discharge stage has not reached the minimum threshold of the state of charge, then the group of energy storage power sources will discharge.

[0021] If the power generation of the distributed generation system is less than the power load demand of the equipment, and one group of energy storage power sources in the discharge stage reaches the lower limit threshold of the state of charge, while another group of energy storage power sources in the charging stage reaches the upper limit threshold of the state of charge, then the energy storage power sources that were originally in the charging and discharging stages will be swapped.

[0022] If the power generation of the distributed generation system is less than the power load demand of the equipment, and one set of energy storage power sources in the discharge stage reaches the lower threshold of the state of charge, while the other set of energy storage power sources in the charging stage has not reached the upper threshold of the state of charge, then the state of the two sets of energy storage power sources remains unchanged; the power shortage of the equipment is purchased from the grid system.

[0023] The following is a scheme for managing the charging and discharging of the power grid during off-peak hours:

[0024] If the power generation of the distributed generation system is less than the power load demand of the equipment, then power will be purchased from the grid system to meet the power shortage of the equipment.

[0025] If the power generation of the distributed generation system exceeds the power load demand of the equipment, and a group of energy storage power sources in the charging stage has not reached the upper limit threshold of the state of charge, then the excess power generation of the distributed generation system will be used to charge the group of energy storage power sources.

[0026] If the power generation of the distributed generation system exceeds the power load demand of the equipment, and one group of energy storage power sources in the charging stage reaches the upper limit threshold of the state of charge, and another group of energy storage power sources in the discharging stage reaches the lower limit threshold of the state of charge, then the energy storage power sources that were originally in the charging and discharging stages will be swapped.

[0027] If the power generation of the distributed generation system exceeds the power load demand of the equipment, and one group of energy storage power sources in the charging stage reaches the upper limit threshold of the state of charge, while the other group of energy storage power sources in the discharging stage has not reached the upper limit threshold of the state of charge, then the states of the two groups of energy storage power sources remain unchanged; the excess power generation of the distributed generation system is transmitted and sold to the grid system.

[0028] As a further embodiment of the present invention: the operation and maintenance management module includes an inspection management unit, a safety management unit, a work order management unit, an equipment and safety management unit, and a comprehensive management unit, wherein;

[0029] The inspection management unit is used to record various inspection tasks in real time, so as to make the various inspection items of the energy storage power supply traceable.

[0030] The safety management unit is used to supervise and manage the safety of operation tickets and work tickets during operation and maintenance, and to record safety hazards;

[0031] The work order management unit is used to standardize the management of work order sources, work order assignments, and work order archiving processes.

[0032] The integrated management unit is used to create document knowledge bases of corresponding types according to the needs and levels of different personnel.

[0033] As a further embodiment of the present invention: the equipment and safety management unit includes an equipment ledger information management subunit, an equipment ledger report management subunit, an equipment fault rating management subunit, and a safety and environmental management subunit; wherein,

[0034] The equipment ledger information management subunit is used to enter equipment ledger information and generate corresponding QR codes, which can be scanned and read by mobile phones.

[0035] The Equipment Ledger Report Management sub-unit is used to classify equipment ledger information in the form of statistical tables;

[0036] The equipment failure rating management subunit is used to rate equipment failures and define corresponding failure levels;

[0037] The Safety and Environmental Management subunit is used to develop safety regulations, organize safety training, emergency drills, and safety assessments, and conduct hazard identification.

[0038] As a further embodiment of the present invention: the analysis and linkage management module includes a current-voltage curve analysis unit, a device correlation analysis unit, and a UAV linkage analysis unit, wherein,

[0039] The current-voltage curve analysis unit is used to analyze the relationship curve between the DC current and the terminal voltage of the energy storage power supply, and to evaluate the working status and performance of the energy storage power supply.

[0040] The equipment correlation analysis unit is used to identify key electrical equipment, coordinate the relationship between electrical equipment and energy storage power sources, and optimize power distribution and fault diagnosis.

[0041] The drone-linked analysis unit uses drones equipped with thermal infrared imaging cameras and visible light imaging cameras to automatically detect abnormalities in energy storage power sources at different locations, and locate the details and precise location information of the anomalies.

[0042] As a further embodiment of the present invention: the safety and risk management module includes a hazard identification management unit, a battery early warning and protection management unit, and a battery status safety management unit, wherein,

[0043] The hazard identification and management unit is used to identify battery defects, non-standard behavior of maintenance personnel, and hazard sources.

[0044] The battery warning and protection management unit is used to protect the battery from overcharging, over-discharging, over-temperature, over-current, and leakage.

[0045] The battery status safety management unit is used to read the battery's remaining charge, battery terminal voltage, charging and discharging current, internal resistance, and electrolyte temperature parameters.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0047] This invention enables the energy storage power supply to adopt different management strategies through an energy storage power supply management module to maximize its benefits; through a charge and discharge management module, different schemes can be adopted to manage the charge and discharge of the energy storage power supply during peak and off-peak electricity consumption periods of the power grid system, ensuring the efficient operation of the energy storage power supply; through a remote control module, coordinated operation among the distributed generation system, energy storage power supply, and power grid system can be realized, thereby achieving high efficiency in the utilization of energy storage power supply. Detailed Implementation

[0048] In this embodiment of the invention, the IoT-based remote intelligent management system for device energy storage power includes a data acquisition and processing module, an analysis and prediction management module, an energy storage power management module, a charge and discharge management module, a remote control module, an operation and maintenance management module, an analysis and linkage management module, a safety and risk management module, and a microgrid display module; wherein,

[0049] The data acquisition and monitoring module is used to collect and process power generation data from distributed generation systems (such as photovoltaic and wind power systems), power quality data from the power grid system (such as voltage and current data, frequency data, and harmonic data), meteorological and environmental data (such as ambient temperature and humidity), and energy storage power performance data (such as battery voltage (single cell voltage, battery pack voltage, and total battery voltage), charging and discharging current, internal resistance, and electrolyte temperature).

[0050] The analysis and forecasting management module is used to forecast battery status, power generation of distributed generation systems, and equipment power load; among them, battery status forecasting includes forecasting remaining battery capacity and battery lifespan.

[0051] The energy storage power management module is used to employ different management strategies for energy storage power to maximize its benefits;

[0052] The charge and discharge management module is used to divide the energy storage power supply into two groups and adopt different schemes to manage the charge and discharge of the energy storage power supply during peak and off-peak electricity consumption periods of the power grid system.

[0053] The remote control module is used to monitor the frequency of the distributed generation system, energy storage power supply and the power grid system in real time. When the frequency of the power grid system exceeds the limit, it adjusts the active power output of the distributed generation system and the energy storage power supply to achieve coordinated operation among the three, thereby realizing peak shaving and valley filling of the power grid system, smooth output of the distributed generation system and effective control of the energy storage power supply.

[0054] The microgrid display module is used to display data acquisition and processing information, alarm handling information, control and operation record information between the distributed generation system, energy storage power source and the power grid system in real time; such as displaying power generation statistics, grid-connected power statistics, stored power statistics, power generation completion rate, annual power generation plan report, and daily power generation analysis report.

[0055] Preferably, in the energy storage power management module, the management strategies include optimal discharge management strategy, optimal lifespan management strategy, and optimal performance management strategy, wherein,

[0056] The optimal discharge management strategy maximizes battery energy utilization by scheduling battery discharge time and amount based on battery performance status and equipment power demand, thereby improving the energy efficiency of electrical equipment and reducing energy costs. The optimal lifespan management strategy controls battery charging and discharging current and depth based on battery characteristics and lifespan curve to maximize battery life.

[0057] Optimal performance management strategies achieve the best balance between performance and cost by comprehensively considering energy utilization efficiency and battery life, thereby improving system performance and stability.

[0058] Preferably, in the charge / discharge management module,

[0059] The following are the charging and discharging management schemes for the power grid system during peak electricity consumption periods:

[0060] If the power generation of the distributed generation system exceeds the power load demand of the equipment, the excess power generation will be transmitted and sold to the power grid system.

[0061] If the power generation of the distributed generation system is less than the power load demand of the equipment, and a group of energy storage power sources in the discharge stage has not reached the minimum threshold of the state of charge, then the group of energy storage power sources will discharge.

[0062] If the power generation of the distributed generation system is less than the power load demand of the equipment, and one group of energy storage power sources in the discharge stage reaches the lower limit threshold of the state of charge, while another group of energy storage power sources in the charging stage reaches the upper limit threshold of the state of charge, then the energy storage power sources that were originally in the charging and discharging stages will be swapped.

[0063] If the power generation of the distributed generation system is less than the power load demand of the equipment, and one set of energy storage power sources in the discharge stage reaches the lower threshold of the state of charge, while the other set of energy storage power sources in the charging stage has not reached the upper threshold of the state of charge, then the state of the two sets of energy storage power sources remains unchanged; the power shortage of the equipment is purchased from the grid system.

[0064] The following is a scheme for managing the charging and discharging of the power grid during off-peak hours:

[0065] If the power generation of the distributed generation system is less than the power load demand of the equipment, then power will be purchased from the grid system to meet the power shortage of the equipment.

[0066] If the power generation of the distributed generation system exceeds the power load demand of the equipment, and a group of energy storage power sources in the charging stage has not reached the upper limit threshold of the state of charge, then the excess power generation of the distributed generation system will be used to charge the group of energy storage power sources.

[0067] If the power generation of the distributed generation system exceeds the power load demand of the equipment, and one group of energy storage power sources in the charging stage reaches the upper limit threshold of the state of charge, and another group of energy storage power sources in the discharging stage reaches the lower limit threshold of the state of charge, then the energy storage power sources that were originally in the charging and discharging stages will be swapped.

[0068] If the power generation of the distributed generation system exceeds the power load demand of the equipment, and one group of energy storage power sources in the charging stage reaches the upper limit threshold of the state of charge, while the other group of energy storage power sources in the discharging stage has not reached the upper limit threshold of the state of charge, then the states of the two groups of energy storage power sources remain unchanged; the excess power generation of the distributed generation system is transmitted and sold to the grid system.

[0069] Preferably, the operation and maintenance management module includes an inspection management unit, a safety management unit, a work order management unit, an equipment and safety management unit, and a comprehensive management unit, wherein;

[0070] The inspection management unit is used to record various inspection tasks in real time, realize the traceability of various inspection items of the energy storage power supply, ensure the safe, stable and efficient operation of the energy storage power supply, and enable the energy storage power supply to achieve the best energy storage efficiency.

[0071] The safety management unit is used to supervise and manage the safety of operation tickets and work tickets during the operation and maintenance process, record safety hazards, and standardize the approval, processing, circulation and termination of operation tickets and work tickets through standardized management and electronic storage to achieve traceability of the operation and maintenance process; and implements a reporting-processing tracking-result feedback process for safety hazards.

[0072] The work order management unit is used to standardize the management of work order sources (such as equipment alarms, user submissions, and routine inspections), work order records (such as recording all relevant information of historical work orders so that all operations are traceable), work order assignments (such as assigning maintenance personnel to the site for repairs), and work order archiving (such as archiving in the form of text, photos, and videos), thereby reducing maintenance costs.

[0073] The integrated management unit is used to create document knowledge bases of corresponding types according to the needs and levels of different personnel. Different personnel can obtain knowledge from the knowledge base of the corresponding level, which makes it convenient for managers and maintenance personnel to access data at any time and share experience data, assisting maintenance personnel in correctly judging and quickly handling faults and improving work efficiency.

[0074] Preferably, the equipment and safety management unit includes an equipment ledger information management subunit, an equipment ledger report management subunit, an equipment fault rating management subunit, and a safety and environmental management subunit; wherein,

[0075] The equipment ledger information management subunit is used to enter equipment ledger information and generate corresponding QR codes, which can be scanned and read by mobile phones to facilitate inspections.

[0076] The Equipment Ledger Report Management sub-unit is used to classify equipment ledger information in the form of statistical tables for easy querying;

[0077] The equipment fault rating management subunit is used to rate equipment faults and define corresponding fault levels, such as using four fault levels: red, orange, yellow, and blue, with red being the highest level fault and blue being the lowest level fault.

[0078] The Safety and Environmental Management subunit is used to develop safety regulations, organize safety training, emergency drills, and safety assessments, and conduct hazard identification.

[0079] Preferably, the analysis and linkage management module includes a current-voltage curve analysis unit, an equipment correlation analysis unit, and a UAV linkage analysis unit, wherein,

[0080] The current-voltage curve analysis unit is used to analyze the relationship curve between the DC current and the terminal voltage of the energy storage power supply, and to evaluate the working status and performance of the energy storage power supply.

[0081] The equipment correlation analysis unit is used to identify key electrical equipment, coordinate the relationship between electrical equipment and energy storage power sources, optimize power distribution and fault diagnosis, and improve the stability, reliability and economy of the power system.

[0082] The drone-linked analysis unit uses drones equipped with thermal infrared imaging cameras and visible light imaging cameras to automatically detect abnormalities in energy storage power supplies at different locations, such as dust, dirt, overheating, and damage, and locate the details and precise location information of the abnormalities.

[0083] Preferably, the safety and risk management module includes a hazard identification management unit, a battery early warning and protection management unit, and a battery status safety management unit, wherein:

[0084] The hazard identification and management unit is used to identify battery defects (such as dust, dirt, and cracks), non-standard behavior of maintenance personnel (such as improper work clothes or safety helmets, smoking in non-smoking areas), and hazard sources (smoke, flames, hot spots), thereby ensuring the safety of equipment operation and personnel.

[0085] The battery warning and protection management unit is used to protect the battery from overcharging, over-discharging, over-temperature, over-current, and leakage, thereby ensuring the safe operation of the battery.

[0086] The battery status safety management unit is used to read the battery's remaining charge, battery terminal voltage, charging and discharging current, internal resistance, and electrolyte temperature parameters to determine the battery's health status.

[0087] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A remote intelligent management system for device energy storage power supply based on the Internet of Things, characterized in that, It includes a data acquisition and processing module, an analysis and prediction management module, an energy storage power management module, a charge and discharge management module, a remote control module, an operation and maintenance management module, an analysis and linkage management module, a safety and risk management module, and a microgrid display module; among which, The data acquisition and monitoring module is used to collect and process power generation data from distributed generation systems, power quality data from power grid systems, meteorological and environmental data, and energy storage power performance data. The analysis and forecasting management module is used to forecast battery status, power generation of distributed generation systems, and equipment power load. The energy storage power management module is used to apply different management strategies to the energy storage power. The charge and discharge management module is used to divide the energy storage power supply into two groups and adopt different schemes to manage the charge and discharge of the energy storage power supply during peak and off-peak electricity consumption periods of the power grid system. The remote control module is used to monitor the frequency of distributed generation systems, energy storage power sources and grid systems in real time, so as to realize the coordinated operation of the three systems. The microgrid display module is used to display in real time the data acquisition and processing information, alarm handling information, control and operation record information between the distributed generation system, energy storage power supply and the power grid system.

2. The IoT-based remote intelligent management system for device energy storage power supply according to claim 1, characterized in that, The energy storage power management module employs three management strategies: optimal discharge management strategy, optimal lifetime management strategy, and optimal performance management strategy. The optimal discharge management strategy maximizes the use of battery energy by scheduling the discharge time and amount of the battery based on the battery's performance status and the device's power demand. The optimal lifespan management strategy maximizes battery life by controlling the charging and discharging current and depth based on battery characteristics and lifespan curve. Optimal performance management strategy is the best solution that balances performance and cost by comprehensively considering energy efficiency and battery life.

3. The IoT-based remote intelligent management system for device energy storage power supply according to claim 1, characterized in that, In the charge and discharge management module, The following are the charging and discharging management schemes for the power grid system during peak electricity consumption periods: If the power generation of the distributed generation system exceeds the power load demand of the equipment, the excess power generation will be transmitted and sold to the power grid system. If the power generation of the distributed generation system is less than the power load demand of the equipment, and a group of energy storage power sources in the discharge stage has not reached the minimum threshold of the state of charge, then the group of energy storage power sources will discharge. If the power generation of the distributed generation system is less than the power load demand of the equipment, and one group of energy storage power sources in the discharge stage reaches the lower limit threshold of the state of charge, while another group of energy storage power sources in the charging stage reaches the upper limit threshold of the state of charge, then the energy storage power sources that were originally in the charging and discharging stages will be swapped. If the power generation of the distributed generation system is less than the power load demand of the equipment, and one set of energy storage power sources in the discharge stage reaches the lower threshold of the state of charge, while the other set of energy storage power sources in the charging stage has not reached the upper threshold of the state of charge, then the state of the two sets of energy storage power sources remains unchanged; the power shortage of the equipment is purchased from the grid system. The following is a scheme for managing the charging and discharging of the power grid during off-peak hours: If the power generation of the distributed generation system is less than the power load demand of the equipment, then power will be purchased from the grid system to meet the power shortage of the equipment. If the power generation of the distributed generation system exceeds the power load demand of the equipment, and a group of energy storage power sources in the charging stage has not reached the upper limit threshold of the state of charge, then the excess power generation of the distributed generation system will be used to charge the group of energy storage power sources. If the power generation of the distributed generation system exceeds the power load demand of the equipment, and one group of energy storage power sources in the charging stage reaches the upper limit threshold of the state of charge, and another group of energy storage power sources in the discharging stage reaches the lower limit threshold of the state of charge, then the energy storage power sources that were originally in the charging and discharging stages will be swapped. If the power generation of the distributed generation system exceeds the power load demand of the equipment, and one group of energy storage power sources in the charging stage reaches the upper limit threshold of the state of charge, while the other group of energy storage power sources in the discharging stage has not reached the upper limit threshold of the state of charge, then the states of the two groups of energy storage power sources remain unchanged; the excess power generation of the distributed generation system is transmitted and sold to the grid system.

4. The IoT-based remote intelligent management system for device energy storage power supply according to claim 1, characterized in that, The operation and maintenance management module includes an inspection management unit, a safety management unit, a work order management unit, an equipment and safety management unit, and a comprehensive management unit. The inspection management unit is used to record various inspection tasks in real time, so as to make the various inspection items of the energy storage power supply traceable. The safety management unit is used to supervise and manage the safety of operation tickets and work tickets during operation and maintenance, and to record safety hazards; The work order management unit is used to standardize the management of work order sources, work order assignments, and work order archiving processes. The integrated management unit is used to create document knowledge bases of corresponding types according to the needs and levels of different personnel.

5. The IoT-based remote intelligent management system for device energy storage power supply according to claim 4, characterized in that, The equipment and safety management unit includes an equipment ledger information management subunit, an equipment ledger report management subunit, an equipment fault rating management subunit, and a safety and environmental management subunit; wherein, The equipment ledger information management subunit is used to enter equipment ledger information and generate corresponding QR codes, which can be scanned and read by mobile phones. The Equipment Ledger Report Management sub-unit is used to classify equipment ledger information in the form of statistical tables; The equipment failure rating management subunit is used to rate equipment failures and define corresponding failure levels; The Safety and Environmental Management subunit is used to develop safety regulations, organize safety training, emergency drills, and safety assessments, and conduct hazard identification.

6. The IoT-based remote intelligent management system for device energy storage power supply according to claim 1, characterized in that, The analysis and linkage management module includes a current-voltage curve analysis unit, a device correlation analysis unit, and a UAV linkage analysis unit, wherein... The current-voltage curve analysis unit is used to analyze the relationship curve between the DC current and the terminal voltage of the energy storage power supply, and to evaluate the working status and performance of the energy storage power supply. The equipment correlation analysis unit is used to identify key electrical equipment, coordinate the relationship between electrical equipment and energy storage power sources, and optimize power distribution and fault diagnosis. The drone-linked analysis unit uses drones equipped with thermal infrared imaging cameras and visible light imaging cameras to automatically detect abnormalities in energy storage power sources at different locations, and locate the details and precise location information of the anomalies.

7. The IoT-based remote intelligent management system for device energy storage power supply according to claim 1, characterized in that, The safety and risk management module includes a hazard identification management unit, a battery early warning and protection management unit, and a battery status safety management unit, wherein... The hazard identification and management unit is used to identify battery defects, non-standard behavior of maintenance personnel, and hazard sources. The battery warning and protection management unit is used to protect the battery from overcharging, over-discharging, over-temperature, over-current, and leakage. The battery status safety management unit is used to read the battery's remaining charge, battery terminal voltage, charging and discharging current, internal resistance, and electrolyte temperature parameters.