Remote acquisition and analysis method for operation data of outdoor energy storage cabinet

Abstract

The invention belongs to the technical field of energy storage cabinet operation data acquisition and analysis, and relates to an outdoor energy storage cabinet operation data remote acquisition and analysis method. According to the invention, through analyzing the operation potential influence of the target outdoor energy storage cabinet, the analysis and elimination control of the operation potential influence are carried out before the collection and analysis of the equipment operation data, thereby avoiding the operation influence of the operation temperature, the power grid voltage and the power grid frequency fluctuation on the battery of the equipment and each electronic element lamp, facilitating the improvement of the operation stability of the equipment, and improving the reliability of the equipment. Whether the target outdoor energy storage cabinet breaks down or not is judged based on the current actual operation condition of the target outdoor energy storage cabinet, the fault diagnosis accuracy of equipment is improved, blindness and universality of a traditional analysis method are avoided, all fault reasons of the target outdoor energy storage cabinet are analyzed through the fault tree model of the outdoor energy storage cabinet, troubleshooting priority ranking is carried out, and the fault diagnosis accuracy is improved. And each fault reason with the maximum probability for the equipment can be quickly determined, so that a large amount of troubleshooting time is saved.

Description

Technical Field

[0001] The invention belongs to the technical field of energy storage cabinet operation data collection and analysis, and relates to a method for remotely collecting and analyzing operation data of an outdoor energy storage cabinet. Background Art

[0002] With the rapid development of renewable energy, such as solar energy and wind energy, energy storage technology has been widely used as a key means to solve the intermittent and volatile problems of renewable energy. As an important part of the energy storage system, the collection and analysis of operating data of outdoor energy storage cabinets is crucial to optimizing the performance of energy storage systems and improving energy utilization efficiency.

[0003] In the prior art, there are also some related solutions involving the operation data of energy storage equipment. For example, the invention patent application for an operation data management and maintenance method, equipment and medium of an energy storage equipment with the Chinese patent publication number CN119248774A includes: obtaining the operation data of the energy storage equipment on the day; performing structured storage on the operation data of the day; generating a daily frozen file on the basis of the operation data of the day, and uploading it to the cloud platform server; when abnormal operation data appears in the operation data of the day, generating an abnormal data record file, and uploading it to the cloud platform server. This application performs periodic storage on the operation data of the energy storage equipment, divides the data by date, generates a daily frozen data file, and facilitates later retrieval; and makes real-time judgment on the abnormality of the operation data, by recording half of the normal operation data and half of the abnormal operation data, so as to facilitate the query of the time when the abnormal point occurs, and compares and analyzes the fault based on the operation data before and after the fault at that time, thereby improving the efficiency of the fault analysis of the energy storage equipment.

[0004] Another invention patent application for an intelligent management method, system, electronic device and storage medium for energy storage equipment with a Chinese patent publication number of CN118915899A includes: when the battery system management unit is started, the hardware network communication interface is initialized; the first system configuration parameters are loaded through the hardware network communication interface or the local configuration file, and the business function thread is created using the first system configuration parameters; the first operation data of the battery cluster is collected through the CAN port data collection thread, and the first operation data is used to perform business data analysis; the Modbus point table data maintained by the update thread is updated using the first operation data; the data request of the external energy management system and the battery cluster gate opening and closing control are responded to through the energy management system communication thread; the running status of the business function thread is monitored through the watchdog thread monitoring module. If an abnormality occurs, the corresponding abnormal business function thread is reset, and then the reset business function thread is restarted.

[0005] Although the above schemes have proposed some solutions for the operation data of energy storage equipment, they still have certain limitations: (1) Some existing technologies periodically store the operation data of energy storage equipment to generate daily frozen data files for easy later retrieval and real-time abnormal judgment of operation data. Some existing technologies respond to data requests and battery cluster switch control of external energy management systems through energy management system communication threads, and monitor the operation status of business function threads through watchdog thread monitoring modules, thereby achieving efficient utilization of energy storage equipment, reducing energy waste, and reducing equipment failure rate. However, the existing technologies have ignored the abnormal judgment of operation data based on the current operation status of energy storage equipment, thereby failing to improve the accuracy of fault diagnosis of energy storage equipment and avoiding the blindness and extensiveness of traditional analysis methods.

[0006] (2) Existing technologies have neglected to analyze and eliminate potential operating impacts before collecting and analyzing the operating data of the energy storage device, making it impossible to avoid the impact of operating temperature and grid voltage and grid frequency fluctuations on the operation of the battery of the energy storage device and various electronic component lights.

[0007] (3) Existing technologies lack the ability to identify and prioritize the most probable causes of failure of the target outdoor energy storage cabinet, making it impossible to quickly and accurately understand the cause of failure of the energy storage equipment, saving troubleshooting time, and preventing managers from more accurately determining the nature of the failure and formulating more effective solutions. Summary of the invention

[0008] In view of this, in order to solve the problems raised in the above background technology, a method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet is now proposed.

[0009] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a method for remote collection and analysis of outdoor energy storage cabinet operation data, including: S1, analysis of potential operating influence: real-time collection of the operating temperature of the target outdoor energy storage cabinet and the grid voltage and grid frequency detected each time within the set collection time period, analysis of the potential operating influence of the target outdoor energy storage cabinet, and determination of the need to eliminate the potential operating influence of the target outdoor energy storage cabinet. If it is a need to eliminate the need, S2 is executed; if it is a need not to eliminate the need, S3 is executed.

[0010] S2, control terminal: take measures to eliminate potential impacts on operation to control and eliminate the potential impacts on the operation of the target outdoor energy storage cabinet.

[0011] S3, operation data analysis: collect the monitoring data of each component module of the target outdoor energy storage cabinet in real time, and compare them with the reference range of current monitoring data of each component module of the target outdoor energy storage cabinet stored in the information library to determine whether there is a fault in the target outdoor energy storage cabinet. If there is a fault, execute S4; if there is no fault, execute S1.

[0012] S4. Fault cause analysis: Combined with the fault tree model of the outdoor energy storage cabinet stored in the information database, analyze the various fault causes of the target outdoor energy storage cabinet, sort them by priority, and further provide feedback.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention collects the operating temperature of the target outdoor energy storage cabinet and the grid voltage and grid frequency detected each time within the set collection time period in real time, analyzes the potential impact of the operation of the target outdoor energy storage cabinet, and performs analysis and elimination control of the potential impact of the operation before collecting and analyzing the operation data of the target outdoor energy storage cabinet, which helps to avoid the impact of operating temperature and grid voltage and grid frequency fluctuations on the operation of the battery and various electronic component lights of the target outdoor energy storage cabinet, and is beneficial to improve the operating stability of the target outdoor energy storage cabinet, reduce its aging, and extend its service life.

[0014] 2. The present invention obtains the reference range of each current monitoring data belonging to each component module of the target outdoor energy storage cabinet according to the current operating status of the target outdoor energy storage cabinet, and compares the monitoring data belonging to each component module of the target outdoor energy storage cabinet collected in real time with the reference range to determine whether there is a fault in the target outdoor energy storage cabinet. The present invention determines whether there is a fault based on the current actual operating status of the target outdoor energy storage cabinet, thereby improving the fault diagnosis accuracy of the target outdoor energy storage cabinet and avoiding the blindness and extensiveness of traditional analysis methods.

[0015] 3. The present invention analyzes the various fault causes of the target outdoor energy storage cabinet by combining the fault tree model of the outdoor energy storage cabinet stored in the information database, and sorts them by priority. The fault tree model can clearly present the logical relationship and hierarchical structure of the fault causes. The fault tree model based on the outdoor energy storage cabinet is conducive to quickly determining the most likely fault causes for the target outdoor energy storage cabinet, and sorting them according to their criticality and then troubleshooting them in sequence, which saves a lot of troubleshooting time and helps managers to more accurately judge the nature of the fault and formulate more effective solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram for implementing the method steps of the present invention.

[0018] Figure 2 A flow chart for determining the need to eliminate potential impacts on the operation of the present invention.

[0019] Figure 3 This is a flow chart for determining whether a target outdoor energy storage cabinet of the present invention has a fault. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides a method for remote collection and analysis of operating data of an outdoor energy storage cabinet, and the specific steps are as follows: S1, analysis of potential operating influence: real-time collection of the operating temperature of the target outdoor energy storage cabinet and the grid voltage and grid frequency detected each time within a set collection time period, analysis of the potential operating influence of the target outdoor energy storage cabinet, and determination of the need to eliminate the potential operating influence of the target outdoor energy storage cabinet. If the need to eliminate the need is to eliminate the need, S2 is executed; if the need to eliminate the need is not to eliminate the need, S3 is executed.

[0022] It needs to be further explained that the specific method of obtaining the operating temperature of the target outdoor energy storage cabinet and the grid voltage and grid frequency detected each time within the set collection time period is: using the deployed temperature sensors and smart meters to directly detect the operating temperature of the target outdoor energy storage cabinet and the grid voltage and grid frequency detected each time within the set collection time period.

[0023] It is further necessary to explain that if the operating temperature of the target outdoor energy storage cabinet is too high or too low, the chemical reaction rate of the battery will change, resulting in a decrease in the battery's charge and discharge efficiency and shortening the battery's cycle life. In addition, the electronic components in the target outdoor energy storage cabinet, such as inverters and controllers, are sensitive to temperature. Excessively high operating temperatures may cause the performance parameters of the electronic components to drift, causing the circuit's operating point to deviate from the normal range, affecting the operating stability of the target outdoor energy storage cabinet, and may even cause malfunctions or failures.

[0024] The grid voltage fluctuation of the target outdoor energy storage cabinet within the set acquisition time period will have an adverse effect on the battery charging and discharging process, that is, when the grid voltage is lower than the rated voltage, the charging current will decrease, the charging speed will slow down, and the time required to fully charge the energy storage cabinet will be extended. When the grid voltage is higher than the rated voltage, the charging current will increase, but it may exceed the battery's tolerance and cause damage to the battery. In addition, excessive grid voltage fluctuations may reduce the insulation performance of the electronic components in the target outdoor energy storage cabinet, accelerate the aging of the target outdoor energy storage cabinet, and shorten its service life.

[0025] The grid frequency fluctuation of the target outdoor energy storage cabinet within the set collection time period will cause the working state of the inverter in the target outdoor energy storage cabinet to deviate from the optimal point, resulting in reduced conversion efficiency and increased power loss. It may also cause the inverter to overload, causing overheating and other problems, and may even cause inverter failure.

[0026] As a preferred feasible embodiment, the specific analysis method of the potential impact of the operation of the target outdoor energy storage cabinet is: extracting the operating temperature of the target outdoor energy storage cabinet, comparing it with the preset reference operating temperature range of the target outdoor energy storage cabinet, if the operating temperature of the target outdoor energy storage cabinet is between the minimum value and the maximum value of the reference operating temperature range, then the operating temperature evaluation of the target outdoor energy storage cabinet is recorded as qualified, otherwise, the operating temperature evaluation of the target outdoor energy storage cabinet is recorded as unqualified.

[0027] The grid voltage and grid frequency detected at each time during the set collection time period of the target outdoor energy storage cabinet are extracted, and the grid voltage standard deviation and grid frequency standard deviation of the target outdoor energy storage cabinet during the set collection time period are calculated according to the standard deviation formula, and compared with the preset grid voltage standard deviation threshold and grid frequency standard deviation threshold when the target outdoor energy storage cabinet is in operation. If the grid voltage standard deviation of the target outdoor energy storage cabinet during the set collection time period is greater than the grid voltage standard deviation threshold or the grid frequency standard deviation is greater than the grid frequency standard deviation threshold, the grid evaluation situation when the target outdoor energy storage cabinet is in operation is recorded as unqualified, otherwise, the grid evaluation situation when the target outdoor energy storage cabinet is in operation is recorded as qualified.

[0028] The operating temperature evaluation of the target outdoor energy storage cabinet and the grid evaluation during its operation are collectively referred to as the potential impact of the operation of the target outdoor energy storage cabinet.

[0029] As a preferred feasible embodiment, the specific judgment method of eliminating the demand for potential impact of the operation of the target outdoor energy storage cabinet is: if the operating temperature evaluation condition of the target outdoor energy storage cabinet and the evaluation condition of the power grid during its operation are unqualified, then the demand for eliminating the potential impact of the operation of the target outdoor energy storage cabinet is recorded as a demand that needs to be eliminated; if the operating temperature evaluation condition of the target outdoor energy storage cabinet and the evaluation condition of the power grid during its operation are both qualified, then the demand for eliminating the potential impact of the operation of the target outdoor energy storage cabinet is recorded as a demand that does not need to be eliminated.

[0030] It is necessary to further explain that the potential impact elimination demand determination flow chart is as follows Figure 2 shown.

[0031] S2, control terminal: take measures to eliminate potential impacts on operation to control and eliminate the potential impacts on the operation of the target outdoor energy storage cabinet.

[0032] As a preferred feasible embodiment, the specific potential impact elimination measures for eliminating and controlling the potential impact of the operation of the target outdoor energy storage cabinet include: when the operating temperature evaluation of the target outdoor energy storage cabinet is unqualified, starting the temperature control system arranged in the target outdoor energy storage cabinet to perform temperature control.

[0033] It needs to be further explained that the specific operation of starting the temperature control system arranged in the target outdoor energy storage cabinet for temperature control is: when the operating temperature of the target outdoor energy storage cabinet is greater than the maximum value of the reference operating temperature range of the target outdoor energy storage cabinet, the heat dissipation device of the temperature control system is started; when the operating temperature of the target outdoor energy storage cabinet is less than the minimum value of the reference operating temperature range of the target outdoor energy storage cabinet, the heating device of the temperature control system is started.

[0034] When the power grid assessment status is unqualified during the operation of the target outdoor energy storage cabinet, the operation mode of each component module of the target outdoor energy storage cabinet is adjusted.

[0035] In a specific example, the component modules of the target outdoor energy storage cabinet include but are not limited to a battery pack, a battery management system (BMS), a power conversion system (PCS), a controller and a communication module.

[0036] It should be further explained that the specific methods of adjusting the operating mode of each component module of the target outdoor energy storage cabinet include: (1) Battery pack: According to the grid voltage and frequency fluctuation range, the charge and discharge thresholds and protection mechanisms of the battery pack are reasonably set. When the grid voltage or frequency exceeds the normal range, the charge and discharge operation is stopped in time to prevent the battery from being overcharged, over-discharged or damaged due to abnormal current.

[0037] (2) Battery Management System (BMS): When the grid voltage or frequency exceeds the normal range, timely adopt filtering, shielding and other measures to reduce electromagnetic interference.

[0038] (3) Power Conversion System (PCS): The PCS is equipped with complete overvoltage, undervoltage, overfrequency and underfrequency protection functions. When the grid voltage or frequency exceeds the tolerance range of the PCS, the circuit is quickly cut off to prevent power devices from being damaged due to overstress.

[0039] (4) Controller: The controller is equipped with a high-performance power module with a wide voltage input range and good voltage regulation performance to ensure that the controller can be provided with stable working power when the grid voltage fluctuates.

[0040] (5) Communication module: Provide a stable power supply for the communication module. Use power filters and voltage stabilizers to eliminate the impact of grid voltage fluctuations on the power supply of the communication module. Install signal isolators and lightning protection and overvoltage protection devices on the communication lines to prevent grid abnormalities from causing communication signal interruption or module damage.

[0041] The present invention collects the operating temperature of the target outdoor energy storage cabinet and the grid voltage and grid frequency detected each time within a set collection time period in real time, analyzes the potential impact of the operation of the target outdoor energy storage cabinet, and performs analysis and elimination control of the potential impact before collecting and analyzing the operation data of the target outdoor energy storage cabinet, which helps to avoid the impact of operating temperature and grid voltage and grid frequency fluctuations on the operation of batteries and electronic component lights of the target outdoor energy storage cabinet, and is beneficial to improving the operating stability of the target outdoor energy storage cabinet, reducing its aging, and extending its service life.

[0042] S3, operation data analysis: collect the monitoring data of each component module of the target outdoor energy storage cabinet in real time, and compare them with the reference range of current monitoring data of each component module of the target outdoor energy storage cabinet stored in the information library to determine whether there is a fault in the target outdoor energy storage cabinet. If there is a fault, execute S4; if there is no fault, execute S1.

[0043] In a specific example, the monitoring data of the battery pack includes but is not limited to voltage, current, and number of charging cycles.

[0044] It should be further explained that the specific method for obtaining the voltage, current and number of charging cycles of the battery pack is: directly querying the voltage, current and number of charging cycles of the battery pack through a battery management system (BMS).

[0045] The monitoring data of the battery management system (BMS) include but are not limited to data integrity and balancing control evaluation index.

[0046] It needs to be further explained that the specific method of obtaining the data completeness and balancing control evaluation index of the battery management system (BMS) is: establish a standard data set containing all data items and formats that the battery management system should collect and record, compare the data set extracted from the BMS with the standard data set, obtain the number of overlapping data between the data set extracted from the BMS and the standard data set, and compare it with the total number of data in the standard data set. The result is recorded as the data completeness of the battery management system (BMS).

[0047] The voltage of each battery of the target outdoor energy storage cabinet is extracted from the battery management system (BMS), and the voltage standard deviation of the battery of the target outdoor energy storage cabinet is calculated according to the standard deviation formula. The inverse of the voltage standard deviation is further calculated, and the result is recorded as the balancing control evaluation index of the battery management system (BMS).

[0048] The monitoring data of the power conversion system (PCS) include but are not limited to output waveform integrity and power factor.

[0049] It needs to be further explained that the specific method of obtaining the output waveform integrity and power factor of the power conversion system (PCS) is: connecting a spectrum analyzer to the output end of the PCS, the spectrum analyzer displays the spectrum distribution diagram of the output signal, and compares it with the standard spectrum distribution diagram of the output signal stored in the information library to obtain the output waveform integrity of the power conversion system (PCS).

[0050] The power factor of the power conversion system (PCS) is directly measured using the deployed power factor meter.

[0051] The monitoring data of the controller include but are not limited to control instruction response time and control instruction accuracy.

[0052] It needs to be further explained that the specific method of obtaining the response time and accuracy of the control instructions belonging to the controller is: connect the probe of the oscilloscope to the signal transmission line between the controller and the controlled object, and set the trigger conditions of the oscilloscope according to the characteristics of the control instruction, such as rising edge trigger, falling edge trigger or specific level trigger, etc. After sending the control instruction, observe the change of the signal through the oscilloscope, and measure the time interval from the trigger point to the start of the controlled object's response, which is the control instruction response time, and record it as the response time of each control instruction belonging to the controller.

[0053] According to the goal of the control instruction and the design requirements of the system, determine the expected output value or output range that the controlled object should achieve under given input and working conditions. After sending the control instruction, use the corresponding measuring instrument or sensor to measure the actual output value of the controlled object, compare the actual output value with the expected output value, calculate the error between the two, and then take the inverse of it. The result is recorded as the accuracy of the control instruction belonging to the controller.

[0054] The monitoring data of the communication module include but are not limited to the number of communication interruptions and the error rate and packet loss rate of data transmission.

[0055] It should be further explained that the specific method for obtaining the number of communication interruptions belonging to the communication module and the error rate and packet loss rate of data transmission is: directly extracting the number of communication interruptions belonging to the communication module from the communication module log record.

[0056] Use professional communication test tools, such as a bit error tester, to send a test data sequence with known content to the communication module. After receiving the data at the receiving end, the test tool compares the received data with the original sent data bit by bit, calculates the number of erroneous bits, and compares it with the total number of bits of the original sent data. The result is recorded as the error rate of the data transmission belonging to the communication module.

[0057] The sender calculates the ratio of the number of data packets that have not received a confirmation response to the total number of data packets sent, and the result is recorded as the packet loss rate of the data transmission belonging to the communication module.

[0058] As a preferred feasible embodiment, the specific method for judging whether the target outdoor energy storage cabinet has a fault is as follows: if the monitoring data belonging to each component module of the target outdoor energy storage cabinet contains a component module that does not belong to the target outdoor energy storage cabinet and is within the reference range of the corresponding current monitoring data, it means that the target outdoor energy storage cabinet has a fault.

[0059] If all monitoring data belonging to each component module of the target outdoor energy storage cabinet are within the reference range of the corresponding current monitoring data belonging to the corresponding component module of the target outdoor energy storage cabinet, it means that there is no fault in the target outdoor energy storage cabinet.

[0060] It is necessary to further explain that the flow chart of whether the target outdoor energy storage cabinet has a fault is as follows: Figure 3 shown.

[0061] As a preferred feasible embodiment, the specific acquisition process of the reference range of each current monitoring data belonging to each component module of the target outdoor energy storage cabinet includes: extracting from the information database the monitoring data belonging to each component module of each outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type collected at each historical time, and averaging the data to obtain the average monitoring data belonging to each component module of the outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type collected at each historical time.

[0062] The maximum and minimum values ​​of the monitoring data belonging to each component module of each outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type collected at each historical time are respectively subtracted from the average monitoring data belonging to each component module of the outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type, and the sum is then divided by 2. The result is recorded as the allowable floating difference of each monitoring data belonging to each component module of the outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type.

[0063] As a preferred feasible embodiment, the specific acquisition process of the reference range of each current monitoring data belonging to each component module of the target outdoor energy storage cabinet also includes: taking the time point of each historical collection as the horizontal coordinate and the monitoring data value belonging to the component module as the vertical coordinate, establishing a two-dimensional coordinate, and drawing points and connecting lines therein according to a certain average monitoring data belonging to a certain component module of the outdoor energy storage cabinet corresponding to the type of the target outdoor energy storage cabinet, and obtaining a change trend graph of the average monitoring data belonging to the component module of the outdoor energy storage cabinet corresponding to the type of the target outdoor energy storage cabinet, and recording it as a change trend graph of the monitoring data belonging to the component module of the target outdoor energy storage cabinet, thereby obtaining a change trend graph of each monitoring data belonging to each component module of the target outdoor energy storage cabinet.

[0064] The monitoring data value corresponding to the current acquisition time point of each component module of the target outdoor energy storage cabinet is extracted from the change trend diagram of each monitoring data belonging to each component module of the target outdoor energy storage cabinet, and the monitoring data value corresponding to the current acquisition time point of each component module of the target outdoor energy storage cabinet is added to the monitoring data reference range corresponding to the current acquisition time point of each component module of the target outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type, which is recorded as the reference range of each current monitoring data belonging to each component module of the target outdoor energy storage cabinet.

[0065] The present invention obtains the reference range of each current monitoring data belonging to each component module of the target outdoor energy storage cabinet according to the current operation status of the target outdoor energy storage cabinet, and compares the monitoring data belonging to each component module of the target outdoor energy storage cabinet collected in real time with the reference range, so as to judge whether there is a fault in the target outdoor energy storage cabinet, and judges whether there is a fault based on the current actual operation status of the target outdoor energy storage cabinet, thereby improving the fault diagnosis accuracy of the target outdoor energy storage cabinet and avoiding the blindness and extensiveness of traditional analysis methods.

[0066] S4. Fault cause analysis: Combined with the fault tree model of the outdoor energy storage cabinet stored in the information database, analyze the various fault causes of the target outdoor energy storage cabinet, sort them by priority, and further provide feedback.

[0067] It should be further explained that the fault tree model is a systematic logic analysis method used to identify and evaluate the root causes of system failures, which includes top events (top fault causes), intermediate events (intermediate fault causes), basic events (basic fault causes), logic gates, structural importance, probability importance and critical importance. These information together form the basis of fault tree analysis, helping to identify the root causes of system failures and formulate effective improvement measures.

[0068] Among them, top events, intermediate events and basic events are the basic components of constructing a fault tree model. The relationship between them is connected by logic gates, which is used to describe the causal chain within the system that may lead to a specific fault or accident. The relationship between them is as follows: (1) The top event is the starting point of the fault tree, representing the specific fault or safety accident that needs to be analyzed. It is the core focus of the entire analysis. Intermediate events are located between the top event and the basic event. They can be the result of some lower-level events or one of the causes of the upper-level events. They are connected to other events through logic gates to show the hierarchical structure in complex fault modes. Intermediate events can be further decomposed into more sub-events to help deeply understand the fault propagation path. Basic events are the bottom-level specific causes or fault modes and cannot be further subdivided. They are usually specific component failures, operational errors or other direct triggering factors. They form the basis of the fault tree and provide the final explanation for the occurrence of the fault. Basic events cannot be further decomposed, but their probability of occurrence can be quantified through data collection and analysis.

[0069] It should be noted that the logic gates include but are not limited to AND gates (indicating that all input events must occur simultaneously to cause the output event to occur) and OR gates (indicating that the occurrence of only one of the input events is sufficient to cause the output event to occur).

[0070] A specific example is to analyze the cause of "power supply interruption" of an outdoor energy storage cabinet. The following settings can be used: top event: "power supply interruption", intermediate events: may include "battery pack failure", "power conversion device failure", and "external power supply disconnection"; basic events: such as "battery cell damage", "inverter circuit board burnt", "grid power outage" and other specific problems.

[0071] In the above embodiment, "power supply interruption" is the top event, which is caused by multiple intermediate events; each intermediate event can be further decomposed into several basic events. These events are interconnected through AND / OR logic gates to form a complete fault tree model, which is used to comprehensively evaluate and understand the various possibilities that lead to system failures.

[0072] It should be noted that the structural importance reflects the importance of the fault cause in the fault tree structure and has nothing to do with the probability of occurrence of the fault cause. It measures the importance of a basic event in the logical structure of the fault tree, that is, the contribution of the event to the top event. The structural importance calculation formula is: ,in is the total number of occurrences of all basic events, , is the number of each basic event, is the number of basic events, For the The number of times a basic event occurs, The outdoor energy storage cabinet is faulty.

[0073] The probability importance reflects the impact of changes in the probability of occurrence of basic events on the probability of occurrence of top events. It measures the impact of a small change in the probability of occurrence of a basic event on the probability of occurrence of the top event. The probability importance calculation formula is: ,in are the probability of outdoor energy storage cabinet failure and the The probability of occurrence of a basic event, are the partial derivative and the first probability of failure of the outdoor energy storage cabinet. The partial derivative of the probability of occurrence of a basic event.

[0074] The critical importance combines the probability of occurrence of the basic event and its impact on the top event, reflecting the actual contribution of the basic event to the system failure. It measures the "responsibility ratio" of a basic event in the occurrence of the top event, and the critical importance calculation formula is: .

[0075] A specific example, assuming that the fault in the fault tree model of the outdoor energy storage cabinet is caused by two basic events A and B, and the logical relationship is OR. That is, as long as either A or B fails, the outdoor energy storage cabinet will fail. That is, the outdoor energy storage cabinet failure is recorded as S, basic event A is recorded as A, and basic event B is recorded as B. The logical relationship is S=AORB. Basic event A and basic event B each occur once, and the total number of occurrences of all basic events is 2, where .

[0076] According to the structural importance calculation formula, we can get .

[0077] According to the probability importance calculation formula, we can get and .

[0078] According to the key importance calculation formula, we can get .

[0079] From the above calculation results, it can be seen that from the perspective of structural importance, basic event A and basic event B have the same structural impact on system failure. From the perspective of probability importance, the probability importance of basic event B is slightly higher than that of basic event A, indicating that the change in the failure probability of basic event B has a greater impact on the system failure probability. From the perspective of critical importance, the critical importance of basic event B is significantly higher than that of basic event A, indicating that the relative change in the failure probability of basic event B has a greater impact on the relative change in the system failure probability.

[0080] As a preferred feasible embodiment, the specific analysis method of the causes of the failures of the target outdoor energy storage cabinet is: screening the monitoring data belonging to the component modules of the target outdoor energy storage cabinet that are not within the reference range of the current monitoring data belonging to the component modules of the target outdoor energy storage cabinet, and recording them as abnormal monitoring data belonging to the component modules of the target outdoor energy storage cabinet.

[0081] The abnormal monitoring data of each component module of the target outdoor energy storage cabinet are matched with the fault causes corresponding to the abnormal monitoring data of each component module in the fault tree model of the outdoor energy storage cabinet to obtain the fault causes corresponding to the abnormal monitoring data of each component module of the target outdoor energy storage cabinet.

[0082] It needs to be further explained that the fault causes corresponding to the abnormal monitoring data of the component modules of the target outdoor energy storage cabinet are the basic fault causes corresponding to the abnormal monitoring data of the component modules of the target outdoor energy storage cabinet.

[0083] As a preferred feasible embodiment, the specific process of troubleshooting and prioritizing the various fault causes of the target outdoor energy storage cabinet is as follows: extracting the probability importance of each fault cause corresponding to each abnormal monitoring data of each component module of the target outdoor energy storage cabinet from the fault tree model of the outdoor energy storage cabinet, screening the fault cause corresponding to each abnormal monitoring data of each component module of the target outdoor energy storage cabinet with the largest probability importance, and recording them as the possible fault cause corresponding to each abnormal monitoring data of each component module of the target outdoor energy storage cabinet.

[0084] The critical importance of the possible fault causes corresponding to the abnormal monitoring data of each component module of the target outdoor energy storage cabinet is extracted from the fault tree model of the outdoor energy storage cabinet. The possible fault causes corresponding to the abnormal monitoring data of each component module of the target outdoor energy storage cabinet are sorted from large to small according to the critical importance, and the sorted results are used as the troubleshooting priority ranking of the fault causes of the target outdoor energy storage cabinet.

[0085] As a preferred feasible embodiment, the method uses an information library during execution to store the reference range of current monitoring data belonging to each component module of the target outdoor energy storage cabinet, store the fault tree model of the outdoor energy storage cabinet, store the monitoring data belonging to each component module of each outdoor energy storage cabinet corresponding to the type of the target outdoor energy storage cabinet collected at each historical time, and store the standard spectrum distribution diagram of the output signal.

[0086] The present invention analyzes various fault causes of the target outdoor energy storage cabinet by combining the fault tree model of the outdoor energy storage cabinet stored in the information library, and sorts them by priority. The fault tree model can clearly present the logical relationship and hierarchical structure of the fault causes. The fault tree model based on the outdoor energy storage cabinet is conducive to quickly determining the most likely fault causes for the target outdoor energy storage cabinet, and sorts them according to their criticality and then sorts them in sequence, which clearly distinguishes the main cause from the secondary cause, saves a lot of troubleshooting time, and is also conducive to managers to more accurately judge the nature of the fault and formulate more effective solutions.

[0087] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet, characterized in that: include: S1. Analysis of potential impact of operation: collect the operating temperature of the target outdoor energy storage cabinet and the grid voltage and grid frequency detected each time within the set collection time period in real time, analyze the potential impact of the operation of the target outdoor energy storage cabinet, and determine the need to eliminate the potential impact of the operation of the target outdoor energy storage cabinet. If it is necessary to eliminate the need, execute S2; if it is not necessary to eliminate the need, execute S3; S2, control terminal: take measures to eliminate potential impacts on the operation of the target outdoor energy storage cabinet to eliminate the potential impacts on the operation of the target outdoor energy storage cabinet; S3, operation data analysis: collect the monitoring data of each component module of the target outdoor energy storage cabinet in real time, and compare it with the reference range of each current monitoring data of each component module of the target outdoor energy storage cabinet stored in the information library, and judge whether there is a fault in the target outdoor energy storage cabinet. If there is a fault, execute S4, if not, execute S1; S4. Fault cause analysis: Combined with the fault tree model of the outdoor energy storage cabinet stored in the information database, analyze the various fault causes of the target outdoor energy storage cabinet, sort them by priority, and further provide feedback.

2. A method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet according to claim 1, characterized in that: The specific analysis method of the potential impact of the operation of the target outdoor energy storage cabinet is as follows: Extract the operating temperature of the target outdoor energy storage cabinet, and compare it with the preset reference operating temperature range of the target outdoor energy storage cabinet. If the operating temperature of the target outdoor energy storage cabinet is between the minimum value and the maximum value of the reference operating temperature range, the operating temperature evaluation of the target outdoor energy storage cabinet is recorded as qualified; otherwise, the operating temperature evaluation of the target outdoor energy storage cabinet is recorded as unqualified; Extract the grid voltage and grid frequency detected at each time by the target outdoor energy storage cabinet within the set collection time period, calculate the grid voltage standard deviation and grid frequency standard deviation of the target outdoor energy storage cabinet within the set collection time period according to the standard deviation formula, and compare them with the preset grid voltage standard deviation threshold and grid frequency standard deviation threshold when the target outdoor energy storage cabinet is in operation, respectively. If the grid voltage standard deviation of the target outdoor energy storage cabinet within the set collection time period is greater than the grid voltage standard deviation threshold or the grid frequency standard deviation is greater than the grid frequency standard deviation threshold, the grid evaluation situation when the target outdoor energy storage cabinet is in operation is recorded as unqualified, otherwise, the grid evaluation situation when the target outdoor energy storage cabinet is in operation is recorded as qualified; The operating temperature evaluation of the target outdoor energy storage cabinet and the grid evaluation during its operation are collectively referred to as the potential impact of the operation of the target outdoor energy storage cabinet.

3. A method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet according to claim 2, characterized in that: The specific method for determining the need to eliminate the potential impact of the operation of the target outdoor energy storage cabinet is as follows: If the operating temperature assessment of the target outdoor energy storage cabinet and the grid assessment during its operation are unqualified, the demand for eliminating the potential impact of the operation of the target outdoor energy storage cabinet will be recorded as a demand that needs to be eliminated; if the operating temperature assessment of the target outdoor energy storage cabinet and the grid assessment during its operation are both qualified, the demand for eliminating the potential impact of the operation of the target outdoor energy storage cabinet will be recorded as a demand that does not need to be eliminated.

4. A method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet according to claim 3, characterized in that: The specific potential operation impact elimination measures to eliminate the potential operation impact of the target outdoor energy storage cabinet include: When the operating temperature of the target outdoor energy storage cabinet is evaluated as unqualified, the temperature control system arranged in the target outdoor energy storage cabinet is started to control the temperature; When the power grid assessment status is unqualified during the operation of the target outdoor energy storage cabinet, the operation mode of each component module of the target outdoor energy storage cabinet is adjusted.

5. The method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet according to claim 1 is characterized in that: The specific method for determining whether the target outdoor energy storage cabinet has a fault is as follows: If there are monitoring data of each component module of the target outdoor energy storage cabinet that do not belong to the corresponding component module of the target outdoor energy storage cabinet and the corresponding current monitoring data reference range, it means that the target outdoor energy storage cabinet has a fault; If all monitoring data belonging to each component module of the target outdoor energy storage cabinet are within the reference range of the corresponding current monitoring data belonging to the corresponding component module of the target outdoor energy storage cabinet, it means that there is no fault in the target outdoor energy storage cabinet.

6. A method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet according to claim 5, characterized in that: The specific acquisition process of each current monitoring data reference range of each component module of the target outdoor energy storage cabinet includes: Extracting from the information database the monitoring data of each component module of each outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type collected at each historical time, and averaging the data to obtain the average monitoring data of each component module of the outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type collected at each historical time; The maximum and minimum values ​​of the monitoring data belonging to each component module of each outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type collected at each historical time are respectively subtracted from the average monitoring data belonging to each component module of the outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type, and the sum is then divided by 2. The result is recorded as the allowable floating difference of each monitoring data belonging to each component module of the outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type.

7. A method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet according to claim 6, characterized in that: The specific acquisition process of each current monitoring data reference range of each component module of the target outdoor energy storage cabinet also includes: A two-dimensional coordinate system is established by taking the time point of each historical collection as the horizontal coordinate and the monitoring data value of the component module as the vertical coordinate, and the points are drawn and connected according to the average monitoring data of a component module of the outdoor energy storage cabinet corresponding to the type of the target outdoor energy storage cabinet, so as to obtain a change trend graph of the average monitoring data of the component module of the outdoor energy storage cabinet corresponding to the type of the target outdoor energy storage cabinet, and record it as the change trend graph of the monitoring data of the component module of the target outdoor energy storage cabinet, so as to obtain a change trend graph of each monitoring data of each component module of the target outdoor energy storage cabinet; The monitoring data value corresponding to the current acquisition time point of each component module of the target outdoor energy storage cabinet is extracted from the change trend diagram of each monitoring data belonging to each component module of the target outdoor energy storage cabinet, and the monitoring data value corresponding to the current acquisition time point of each component module of the target outdoor energy storage cabinet is added to the monitoring data reference range corresponding to the current acquisition time point of each component module of the target outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type, which is recorded as the reference range of each current monitoring data belonging to each component module of the target outdoor energy storage cabinet.

8. The method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet according to claim 5 is characterized in that: The specific analysis method of each fault cause of the target outdoor energy storage cabinet is as follows: Filter the monitoring data belonging to the component modules of the target outdoor energy storage cabinet that are not within the reference range of the current monitoring data belonging to the component modules of the target outdoor energy storage cabinet, and record them as the abnormal monitoring data belonging to the component modules of the target outdoor energy storage cabinet; The abnormal monitoring data of each component module of the target outdoor energy storage cabinet are matched with the fault causes corresponding to the abnormal monitoring data of each component module in the fault tree model of the outdoor energy storage cabinet to obtain the fault causes corresponding to the abnormal monitoring data of each component module of the target outdoor energy storage cabinet.

9. A method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet according to claim 8, characterized in that: The specific process of troubleshooting and prioritizing the causes of the faults of the target outdoor energy storage cabinet is as follows: Extract the probability importance of each fault cause corresponding to each abnormal monitoring data of each component module of the target outdoor energy storage cabinet from the fault tree model of the outdoor energy storage cabinet, select the fault cause corresponding to each abnormal monitoring data of each component module of the target outdoor energy storage cabinet with the largest probability importance, and record it as the possible fault cause corresponding to each abnormal monitoring data of each component module of the target outdoor energy storage cabinet; The critical importance of the possible fault causes corresponding to the abnormal monitoring data of each component module of the target outdoor energy storage cabinet is extracted from the fault tree model of the outdoor energy storage cabinet. The possible fault causes corresponding to the abnormal monitoring data of each component module of the target outdoor energy storage cabinet are sorted from large to small according to the critical importance, and the sorted results are used as the troubleshooting priority ranking of the fault causes of the target outdoor energy storage cabinet.

10. The method for remotely collecting and analyzing operating data of an outdoor energy storage cabinet according to claim 1, characterized in that: The method uses an information library during execution to store the reference range of current monitoring data belonging to each component module of the target outdoor energy storage cabinet, store the fault tree model of the outdoor energy storage cabinet, store the monitoring data belonging to each component module of each outdoor energy storage cabinet corresponding to the target outdoor energy storage cabinet type collected at each historical time, and store the standard spectrum distribution diagram of the output signal.

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