An intelligent monitoring and maintenance method for a static state of an energy storage power station

Abstract

The present application provides an intelligent monitoring and maintenance method for the static state of an energy storage power station, which relates to the technical field of energy storage power stations. The method comprises obtaining a target static time of a target battery compartment, determining whether the time has reached a predetermined minimum time, reading a predetermined abnormal static time limit, and determining whether the target static time is within the time limit. If not, the battery compartment is dynamically monitored in multiple dimensions to obtain target dynamic characteristic information. The characteristic information in the target dynamic characteristic information is monitored and analyzed in sequence by an intelligent monitoring model to obtain corresponding analysis results. When the analysis results do not meet the predetermined state constraints, the intelligent maintenance equipment group is activated to automatically maintain the target battery compartment. This method solves the technical problem in the prior art of not being able to respond to maintenance in a timely manner during the static time of the energy storage power station, which greatly affects the battery operating performance, efficiency, and operating cost. The method achieves the technical effect of improving system performance and energy utilization efficiency, and reducing operating and maintenance costs.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage power stations, and in particular to an intelligent monitoring and maintenance method for a stationary energy storage power station. Background Art

[0002] With the development of new energy sources and the construction of new power systems, more and more energy storage systems are being built, and the application of energy storage power station monitoring systems is also increasing. Currently, energy storage power stations are mainly built with wind and solar power, and energy storage stations may be idle for long periods of time. When idle for a long time, the battery compartments will naturally discharge, causing the battery's stored energy to gradually decrease, thereby reducing battery availability and performance, and affecting the performance of the entire energy storage system. Therefore, when energy storage power stations are idle for a long time, it is necessary to maintain the battery compartment environmental conditions and remaining power, or issue warnings.

[0003] Currently, the monitoring system of an energy storage power station only monitors data during the station's idle period, but cannot perform corresponding maintenance processing. As a result, it is impossible to respond to maintenance in a timely manner during the idle period, which greatly affects the battery's operating performance, efficiency and operating costs. Summary of the Invention

[0004] The present application provides an intelligent monitoring and maintenance method for an energy storage power station in a static state, which is used to solve the technical problem in the prior art that the energy storage power station cannot respond to maintenance in a timely manner during the static time, which greatly affects the battery operating performance, efficiency and operating costs.

[0005] In view of the above problems, the present application provides an intelligent monitoring and maintenance method for an energy storage power station in a static state.

[0006] The present application provides an intelligent monitoring and maintenance method for a stationary energy storage power station, the method comprising:

[0007] Obtaining a target rest time of a target battery compartment, where the target battery compartment is any battery compartment in the energy storage power station;

[0008] If the target static time reaches a predetermined minimum static time, reading a predetermined abnormal static time limit, and determining whether the target static time is within the predetermined abnormal static time limit;

[0009] If not, performing multi-dimensional dynamic monitoring on the target battery compartment to obtain target dynamic feature information;

[0010] Monitoring and analyzing the first characteristic information and the second characteristic information in the target dynamic characteristic information in sequence by the intelligent monitoring model, and obtaining a first analysis result and a second analysis result respectively;

[0011] When the first analysis result and the second analysis result do not meet the predetermined state constraint, the intelligent maintenance equipment group is activated to perform automatic maintenance on the target battery compartment.

[0012] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0013] The present application provides an intelligent monitoring and maintenance method for the static state of an energy storage power station, which obtains the target static time of a target battery compartment, wherein the target battery compartment is any battery compartment in the energy storage power station; if the target static time reaches a predetermined minimum static time, the predetermined abnormal static time limit is read, and it is determined whether the target static time limit is within the predetermined abnormal static time limit; if not, the target battery compartment is dynamically monitored in multiple dimensions to obtain target dynamic feature information; the first feature information and the second feature information in the target dynamic feature information are monitored and analyzed in turn by an intelligent monitoring model to obtain a first analysis result and a second analysis result respectively; when the first analysis result and the second analysis result do not meet the predetermined state constraints, the intelligent monitoring model is activated. The maintenance equipment group can automatically maintain the target battery compartment, solving the technical problem in the prior art that the energy storage power station cannot respond to maintenance in time during the static time, which greatly affects the battery operating performance, efficiency and operating cost. The method can use the automatic maintenance function to set different maintenance parameters for different static times during the static period of the energy storage power station. The energy storage monitoring system automatically controls the energy storage power station to perform corresponding maintenance measures such as environmental maintenance and remaining capacity of the battery compartment, and notifies the operating personnel through alarm pop-ups or text messages when standard charging and discharging is required and equipment abnormalities occur, thereby achieving the technical effect of improving system performance and energy utilization efficiency and reducing operating and maintenance costs, while providing convenient maintenance conditions for achieving "unmanned operation and less manpower on duty". BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This application provides a flow chart of an intelligent monitoring and maintenance method for an energy storage power station in a static state;

[0015] Figure 2 This application provides a schematic diagram of the power distribution warning process in the intelligent monitoring and maintenance method of the static state of an energy storage power station. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0017] Example

[0018] To achieve automatic maintenance and information alarm prompts for various energy storage systems (including all-air-cooled energy storage systems, all-liquid-cooled energy storage systems, and air-cooled and liquid-cooled hybrid energy storage systems) during static periods, maintenance indicator limits can be set for different types of energy storage systems. This allows the automatic maintenance function to adopt more targeted maintenance execution strategies based on the changes in each indicator.

[0019] like Figure 1 As shown, the present application provides an intelligent monitoring and maintenance method for a stationary energy storage power station, the method comprising:

[0020] Step S100: Obtaining a target rest time of a target battery compartment, where the target battery compartment is any battery compartment in an energy storage power station;

[0021] Specifically, the quiescent state of an energy storage power station refers to a period of time when the battery system or battery compartment within the station is not charging or discharging, meaning it is in a non-operating or standby state. This state may occur during system optimization or low grid demand. It is important to understand that the quiescent state is not a complete shutdown or power-off state. During this state, the battery system may still consume a certain amount of energy to maintain normal operation, such as maintaining the operation of the monitoring system and controlling battery temperature. Therefore, after a long period of inactivity, the battery system's charge may decrease, requiring recharging before being put back into operation. Therefore, intelligent monitoring and maintenance of energy storage power stations during their quiescent state can effectively improve system performance, reliability, and energy efficiency.

[0022] When performing monitoring and maintenance, the target static time of the target battery compartment is first obtained, that is, the battery compartment management system equipped with the energy storage power station uses the battery compartment identifier (such as number, location, etc.) to identify which battery compartment is in a static state. The battery compartment in the static state belongs to the target battery compartment for positioning monitoring and maintenance. Next, the current status, historical data, and preset static time and other parameters of the target battery compartment are queried in the system, and the target static time of the target battery compartment is directly read from the system through the static time configuration information. The target static time may be set based on factors such as the type, capacity, and charging and discharging strategy of the battery compartment. It is explained here that there are multiple battery compartments in the energy storage power station, and the battery compartment in a static state may be any one of the multiple battery compartments. By obtaining the target static time of the target battery compartment, the foundation is laid for subsequent control analysis.

[0023] Step S200: If the target static time reaches a predetermined minimum static time, a predetermined abnormal static time limit is read, and it is determined whether the target static time limit is within the predetermined abnormal static time limit;

[0024] Furthermore, the monitoring system tracks and records the rest time of each battery compartment in real time. When the rest time of a target battery compartment reaches a predetermined minimum rest time, the system triggers further judgment logic. The predetermined minimum rest time is the lowest rest time set by the industry. Next, the system reads the predetermined abnormal rest period. This predetermined abnormal rest period is a pre-set time range that indicates how long a battery compartment must remain in a rest state after exceeding the minimum rest time before it is considered abnormal. Here, this application sets this period to three months. That is, if a battery compartment has been rested for three months or longer, it indicates that the rest time is too long and that charging and discharging the battery compartment is necessary to maintain battery performance. At this point, a pop-up alert or text message can be sent to notify relevant personnel to perform a standard charge and discharge on the target battery compartment. Furthermore, to ensure that relevant personnel receive the reminder notification, if the charge and discharge operation is not detected after the notification, a further notification can be sent after a preset time, i.e., a delayed reminder.

[0025] By setting a predetermined minimum idle time, system response fluctuations can be avoided and the stability and effectiveness of the system in identifying the idle state of the battery compartment can be improved. By judging whether the target idle time is within the predetermined abnormal idle time limit, battery compartments with excessively long idle times and requiring timely charging and discharging can be screened out in advance, thereby improving maintenance efficiency.

[0026] Step S300: If not, perform multi-dimensional dynamic monitoring on the target battery compartment to obtain target dynamic feature information;

[0027] Optionally, if the target inactivity time is not within the predetermined abnormal inactivity period, it indicates that the inactivity time is less than 3 months, and multi-dimensional dynamic monitoring of the target battery compartment is required to determine whether the target battery compartment is in long-term or short-term inactivity. Multi-dimensional dynamic monitoring refers to dynamic monitoring of battery parameters such as voltage, current, temperature, SOC (state of charge), internal resistance, and vibration based on the characteristics of the battery compartment and monitoring requirements.

[0028] Specifically, an appropriate monitoring frequency is set to collect data on the rate of change of the battery compartment's monitoring parameters. A higher monitoring frequency can be set for key parameters or those that change rapidly, while a lower monitoring frequency can be appropriately set for non-key parameters or those that change slowly. Furthermore, the collected data is transmitted in real time to the monitoring system center for preprocessing and storage. The collected data is analyzed to extract dynamic characteristic information of the target battery compartment. This characteristic information may include the type of energy storage system, the environment in which it is located, the remaining power, and the changing trends, fluctuation ranges, and abnormal values of various parameters.

[0029] By obtaining the target's dynamic characteristic information, the subsequent monitoring and analysis speed is improved, the model input is guaranteed, and operation and maintenance analysis can be carried out efficiently.

[0030] Step S400: monitoring and analyzing the first characteristic information and the second characteristic information in the target dynamic characteristic information in sequence through the intelligent monitoring model to obtain a first analysis result and a second analysis result respectively;

[0031] Step S500: When the first analysis result and the second analysis result do not meet the predetermined state constraint, activating the intelligent maintenance equipment group to perform automatic maintenance on the target battery compartment.

[0032] Exemplarily, the obtained target dynamic characteristic information is preprocessed and the characteristic information is classified into first characteristic information and second characteristic information. The first characteristic information refers to characteristic information about the static environment of the battery compartment, including temperature and humidity information; the second characteristic information refers to information about the remaining power of the battery compartment in a static state. The constructed intelligent monitoring model then monitors and analyzes the first characteristic information and the second characteristic information in the target dynamic characteristic information in sequence to obtain corresponding first analysis results and second analysis results, each of which includes relevant parameters of the corresponding characteristics. The intelligent monitoring model is a model that intelligently monitors the temperature rise or fall rate, humidity changes, and remaining power at the current ambient temperature, and the model is constructed using historical data corresponding to the relevant characteristics.

[0033] Specifically, the analysis results obtained through the intelligent monitoring model are compared with predetermined state constraints to determine whether to activate the intelligent maintenance equipment group to perform automatic maintenance on the target battery compartment. These predetermined state constraints include set limits on relevant characteristic information. If these limits are exceeded, adjustment instructions are triggered to perform intelligent maintenance. This achieves the technical effect of improving system performance and energy efficiency while reducing operating and maintenance costs.

[0034] Furthermore, step S200 of the present application also includes:

[0035] Step S210: If the target idle time is within the predetermined abnormal idle time limit, a first alarm instruction is issued, wherein the first alarm instruction is used to provide standard charging and discharging prompts to maintenance personnel through a predetermined alarm form, and the predetermined alarm form includes popping up an alarm prompt box, sending a text message, and sound and light prompts.

[0036] Optionally, when the target battery compartment's static time reaches or exceeds a predetermined abnormal static period (i.e., 3 months), the system will trigger a first alarm instruction to remind maintenance personnel of the abnormal static state of the target battery compartment and guide them to perform standard charging and discharging operations to avoid possible risks and damages. The predetermined alarm forms include popping up an alarm prompt box, sending text messages, and sound and light prompts. That is, on the interface of the monitoring system, an obvious alarm prompt box pops up for the target battery compartment to display the alarm information, such as "Battery compartment XX is abnormally static, please perform standard charging and discharging operations", and the alarm prompt box usually has a striking color and clear text to attract the immediate attention of maintenance personnel; or send an alarm message to a designated maintenance personnel or maintenance team through a text message service; or set up an sound and light alarm device in the monitoring center or related area. When the first alarm instruction is triggered, the sound and light alarm device will emit sound and light signals to attract the attention of on-site personnel.

[0037] The alarm message sent should include key information such as battery compartment information (such as the compartment number and location), alarm type (clearly indicating an abnormal idle state alarm), alarm time (recording the specific time the alarm occurred), and recommended actions (providing standard charging and discharging operation prompts to guide maintenance personnel in handling). This alarm mechanism ensures that maintenance personnel are promptly notified when a battery compartment is abnormally idle and guided to perform the correct handling operations, thereby ensuring the safe and stable operation of the energy storage power station.

[0038] Furthermore, after issuing the first alarm instruction, step S210 of the present application further includes:

[0039] Step S211: Obtaining the maintenance record of the maintenance personnel;

[0040] Step S212: issuing a delayed alarm instruction if the maintenance personnel fails to perform standard charge and discharge processing on the target battery compartment within a predetermined period after the alarm instruction is issued according to the maintenance record;

[0041] Step S213: Providing a delayed alarm prompt to the maintenance personnel based on the delayed alarm instruction.

[0042] For example, the monitoring system of the battery compartment will record all operations related to the battery compartment, including the issuance and receipt of alarm information, the response of maintenance personnel, etc. When the first alarm instruction is issued, the system will extract the maintenance records of the maintenance personnel related to the alarm. At the same time, the system will check whether the maintenance personnel have responded to the alarm within a predetermined period of time (such as 24 hours) and verify whether the maintenance personnel have performed the standard charge and discharge processing as recommended. If the maintenance personnel does not respond to the alarm within the predetermined period of time, or does not perform the standard charge and discharge processing after responding, the system will issue a delayed alarm instruction, that is, the alarm will be issued again after the predetermined time. This usually means that the urgency of the problem has been upgraded and it is necessary to attract the attention of higher levels or take more stringent measures.

[0043] Feedback judgment of alarm instructions can effectively check the execution status and response level of instructions, improving the timeliness and quality of monitoring and maintenance.

[0044] Furthermore, step S500 of the present application also includes:

[0045] The predetermined state constraints include predetermined environmental constraints and predetermined power constraints.

[0046] Predetermined environmental constraints involve the environmental conditions under which the battery compartment operates. These conditions are crucial to the battery's performance, lifespan, and safety. These predetermined state constraints include predetermined environmental constraints and predetermined charge constraints. These predetermined environmental constraints include temperature ranges and humidity requirements. Batteries operate optimally within a specific temperature range. Temperatures that are too high or too low can affect battery performance and lifespan, and even lead to safety issues. Therefore, the monitoring system monitors the temperature within the battery compartment, constrained by a predetermined temperature range, and issues an alarm if the temperature exceeds this range. Humidity is also a significant factor affecting battery performance. Excessive humidity can cause internal corrosion or short circuits, while excessively low humidity can affect the electrolyte properties of the battery. Therefore, the humidity within the battery compartment must also be controlled within a predetermined range. Predetermined charge constraints involve the battery compartment's state of charge to ensure that the battery operates within a safe and effective range. These constraints can include SOC ranges, charge or discharge rates, and charge balance. In summary, the system uses these constraints to determine whether to issue adjustment instructions to complete subsequent automatic maintenance.

[0047] Furthermore, step S400 of the present application also includes:

[0048] Step S410 - 1 : The intelligent monitoring model includes a first monitor, and the first monitor stores the predetermined environmental constraints, wherein the predetermined environmental constraints include a predetermined environmental temperature constraint and a predetermined environmental humidity constraint;

[0049] Step S420 - 1 : The first monitor monitors and analyzes the first feature information in combination with the predetermined ambient temperature constraint and the predetermined ambient humidity constraint to obtain the first analysis result.

[0050] Furthermore, step S400 of the present application also includes:

[0051] Step S410 - 2 : The intelligent monitoring model includes a second monitor, and the second monitor stores the predetermined power constraint;

[0052] Step S420 - 2 : The second monitor monitors and analyzes the second characteristic information in combination with the predetermined power constraint to obtain the second analysis result.

[0053] Furthermore, the predetermined environmental constraints are stored in a first monitor of the intelligent monitoring model, while the predetermined power constraints are stored in a second monitor of the intelligent monitoring model. During monitoring, the first monitor acquires first characteristic information related to the device environment in real time, such as ambient temperature and humidity data. It then monitors and analyzes this data in conjunction with pre-stored environmental constraints, generating a first analysis result by comparing it with the predetermined environmental constraints. If the ambient temperature or humidity exceeds a predetermined range, the analysis result indicates an abnormal state and triggers a corresponding alarm or protection mechanism. The second monitor stores the predetermined power constraints and acquires second characteristic information related to the device power in real time. It then monitors and analyzes this data in conjunction with pre-stored power constraints and generates a second analysis result based on a comparison with the predetermined power constraints. If the power state or charge / discharge rate exceeds a predetermined range, the analysis result indicates an abnormal state and triggers a corresponding alarm or protection mechanism.

[0054] Furthermore, step S500 of the present application also includes:

[0055] The intelligent maintenance equipment group includes temperature control equipment, dehumidification equipment and charging and discharging equipment.

[0056] Furthermore, step S500 of the present application also includes:

[0057] Step S510: When the first ambient temperature analysis result in the first analysis result does not meet the predetermined state constraint, activate the temperature control device to automatically maintain the target battery compartment; when the first ambient humidity analysis result in the first analysis result does not meet the predetermined state constraint, activate the dehumidification device to automatically maintain the target battery compartment; when the second analysis result does not meet the predetermined state constraint, activate the charging and discharging device to automatically maintain the target battery compartment.

[0058] Optionally, the intelligent maintenance equipment group in this application includes a temperature control device, a dehumidifier, and a charging and discharging device. The temperature control device is responsible for regulating the ambient temperature around the battery compartment or other equipment, ensuring that it operates within a predetermined temperature range. This helps prevent damage to the equipment caused by overheating or overcooling and optimizes the performance and life of the equipment. The temperature control device can automatically adjust the ambient temperature based on the analysis results of the first monitor. For example, when the ambient temperature exceeds the predetermined range, the temperature control device can activate or deactivate the heating or cooling system to adjust the temperature to an appropriate level. The dehumidifier is used to reduce the humidity in the environment around the battery compartment or other equipment to prevent problems such as internal corrosion and short circuits caused by excessive humidity. This helps maintain the equipment in good operating condition and extend its service life. The dehumidifier can automatically turn on or off based on the analysis results of the first monitor. When the ambient humidity exceeds the predetermined range, the dehumidifier activates and reduces the humidity by absorbing or removing moisture from the air. The charging and discharging device is used to charge and discharge the battery to ensure that the battery's state of charge is within a safe and effective range. This helps avoid performance degradation or safety hazards caused by overcharging or over-discharging the battery. The charging and discharging device can automatically adjust the charging and discharging rate or perform specific charging and discharging operations based on the analysis results of the second monitor. For example, when the battery's SOC (state of charge) is too low, the charging and discharging device will automatically start the charging process; when the battery's SOC is too high or the charging rate is too fast, the charging and discharging device will adjust the charging rate or stop charging.

[0059] The intelligent monitoring model monitors the operating status of the battery compartment or other equipment in real time and analyzes it in combination with predetermined environmental and power constraints. When the monitoring results indicate an abnormal state, the monitoring model will send instructions to the corresponding maintenance equipment to trigger the corresponding adjustment or protection mechanism. This collaborative working method can ensure that the equipment operates in the best condition and reduce the risk of failure and safety hazards.

[0060] Furthermore, if Figure 2 As shown, before activating the charging and discharging device to automatically maintain the target battery compartment, step S510 of the present application further includes:

[0061] Step S511: obtaining dynamic energy storage information of each battery compartment in the energy storage power station;

[0062] Step S512: Analyze the dynamic energy storage information of each battery compartment and determine whether it meets the uniform charge condition;

[0063] Step S513: If it is true, a second alarm instruction is issued, wherein the second alarm instruction is used to remind the maintenance personnel to evenly distribute power in a predetermined alarm form.

[0064] Specifically, the system needs to obtain the dynamic energy storage information of each battery compartment in the energy storage power station in real time or regularly. These dynamic energy storage information may include but are not limited to the current power of the battery compartment (SOC), charging or discharging rate, battery health status (such as battery temperature, internal resistance, etc.) and other parameters related to energy storage. Furthermore, after obtaining the dynamic energy storage information of each battery compartment, the system needs to analyze to determine whether it meets the uniform power conditions. Among them, the uniform power conditions are preset thresholds and rules. When the remaining power of the target battery compartment does not meet the static limit, it can be solved by uniform power. That is to say, the power consumption of the target battery compartment during the static period can be met by uniformly distributing the power of the battery compartment with high power to the power of the battery compartment with low power. When the uniform power conditions are met, the system issues a second alarm instruction, and the maintenance personnel need to select and determine the uniform power task under this instruction. Through manual selection, operation and maintenance personnel can perform operation and maintenance management by agreeing on a uniform power distribution method when they are unable to perform operation and maintenance in a timely manner. This can reduce the inspection frequency and heavy data comparison tasks of operation and maintenance personnel during the static period of the energy storage power station, provide convenient and effective maintenance tools for operation and maintenance personnel, and provide convenient conditions for "unmanned operation and less manpower on duty".

[0065] Through the technical solutions of the above embodiments, the intelligent monitoring and maintenance method for a static energy storage power station provided by this application has the following technical effects:

[0066] 1. This application can unify the maintenance and management of energy storage power station systems such as air-cooled energy storage systems and liquid-cooled energy storage systems, improve the sharing and optimal utilization of maintenance resources, reduce duplicate maintenance equipment investment, and improve maintenance efficiency and sustainability.

[0067] 2. For battery compartments that are stationary for a long time, the stationary temperature can be set to specified conditions according to different ambient temperatures, reducing the startup frequency and operating time of heating and cooling equipment, and reducing the operating costs of the energy storage power station.

[0068] 3. By monitoring and controlling humidity, the battery compartment is maintained in a state where the humidity inside the compartment increases and does not meet the static conditions due to long-term static conditions due to environmental influences, thereby ensuring the safety of the battery pack of the energy storage power station system during static conditions.

[0069] 4. It can prevent the battery pack from self-discharging due to the battery compartment being stationary for a long time, resulting in the reduction of battery pack capacity and performance and the inability to respond in time when operation is required, thereby improving the overall efficiency of the energy storage power station and the response rate of the energy storage system, reducing the risk of battery compartment failure, and improving the stability and reliability of the energy storage power station.

[0070] 5. It can provide maintenance record reports and abnormal record reports for operation and maintenance personnel, so that they can conduct abnormal analysis and maintenance improvement work based on them, thereby improving the operating efficiency and reliability of the energy storage power station.

[0071] 6. It can reduce the inspection frequency and heavy data comparison tasks of operation and maintenance personnel during the static period of the energy storage power station, provide convenient and effective maintenance tools for operation and maintenance personnel, and provide convenient conditions for "unmanned operation and less manned operation".

[0072] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0073] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. An intelligent monitoring and maintenance method for a static energy storage power station, characterized in that: The method is applied to an intelligent monitoring and maintenance system for a stationary energy storage power station, and the system is communicatively connected to an intelligent maintenance equipment group. The method includes: Obtaining a target rest time of a target battery compartment, where the target battery compartment is any battery compartment in the energy storage power station; If the target static time reaches a predetermined minimum static time, reading a predetermined abnormal static time limit, and determining whether the target static time is within the predetermined abnormal static time limit; If not, performing multi-dimensional dynamic monitoring on the target battery compartment to obtain target dynamic feature information; Monitoring and analyzing the first characteristic information and the second characteristic information in the target dynamic characteristic information in sequence by the intelligent monitoring model, and obtaining a first analysis result and a second analysis result respectively; When the first analysis result and the second analysis result do not meet the predetermined state constraint, activating the intelligent maintenance equipment group to perform automatic maintenance on the target battery compartment; If the target idle time is within the predetermined abnormal idle time limit, a first alarm instruction is issued, wherein the first alarm instruction is used to provide standard charging and discharging reminders to maintenance personnel through a predetermined alarm form, and the predetermined alarm form includes popping up an alarm prompt box, sending text messages, and sound and light prompts.

2. The method according to claim 1, characterized in that After the first alarm instruction is issued, the following steps are also included: Obtaining maintenance records of the maintenance personnel; According to the maintenance record, if the maintenance personnel fails to perform standard charge and discharge processing on the target battery compartment within a predetermined period after the alarm instruction is issued, issuing a delayed alarm instruction; A delayed alarm prompt is given to the maintenance personnel based on the delayed alarm instruction.

3. The method according to claim 1, characterized in that The predetermined state constraints include predetermined environmental constraints and predetermined power constraints.

4. The method according to claim 3, characterized in that include: The intelligent monitoring model includes a first monitor, and the first monitor stores the predetermined environmental constraints, wherein the predetermined environmental constraints include a predetermined environmental temperature constraint and a predetermined environmental humidity constraint; The first monitor monitors and analyzes the first feature information in combination with the predetermined ambient temperature constraint and the predetermined ambient humidity constraint to obtain the first analysis result.

5. The method according to claim 4, characterized in that: include: The intelligent monitoring model includes a second monitor, and the second monitor stores the predetermined power constraint; The second monitor monitors and analyzes the second characteristic information in combination with the predetermined power constraint to obtain the second analysis result.

6. The method according to claim 1, characterized in that The intelligent maintenance equipment group includes temperature control equipment, dehumidification equipment and charging and discharging equipment.

7. The method according to claim 6, characterized in that When the first ambient temperature analysis result in the first analysis result does not meet the predetermined state constraint, the temperature control device is activated to automatically maintain the target battery compartment; when the first ambient humidity analysis result in the first analysis result does not meet the predetermined state constraint, the dehumidification device is activated to automatically maintain the target battery compartment; when the second analysis result does not meet the predetermined state constraint, the charging and discharging device is activated to automatically maintain the target battery compartment.

8. The method according to claim 7, characterized in that: Before activating the charging and discharging device to automatically maintain the target battery compartment, the method further includes: Obtaining dynamic energy storage information of each battery compartment in the energy storage power station; Analyze the dynamic energy storage information of each battery compartment and determine whether it meets the conditions for uniform power distribution; if so, issue a second alarm instruction, wherein the second alarm instruction is used to provide a uniform power distribution prompt to maintenance personnel in a predetermined alarm form.

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