Battery charging explosion-proof cabinet monitoring system

Abstract

The application discloses a battery charging explosion-proof cabinet monitoring system and relates to the technical field of battery charging safety monitoring.The system comprises a data acquisition module, a main control module, a communication module, an external configuration screen display module, a warning module and a linkage control module.The data acquisition module is arranged to synchronously acquire charging electric parameters and distributed multi-point temperature parameters in the explosion-proof cabinet.Combining a storage unit and a signal filtering unit arranged in the main control module, the multi-source original data is subjected to filtering and calibration processing.Compared with a single threshold comparison or a monitoring mode without filtering processing, the accuracy and consistency of the input data are remarkably improved, and a reliable data basis is provided for subsequent algorithm analysis.

Description

Technical Field

[0001] This invention relates to the field of battery charging safety monitoring technology, specifically a battery charging explosion-proof cabinet monitoring system. Background Technology

[0002] Battery charging explosion-proof cabinets are specialized safety devices used to house rechargeable batteries such as lithium batteries during charging operations. By incorporating explosion-proof, fire-proof, and pressure-relief measures into the cabinet structure, they confine potential accidents such as thermal runaway, fire, and explosions within the cabinet, reducing risks to surrounding personnel and equipment. To enhance protection, existing explosion-proof cabinets are typically equipped with monitoring systems. These systems use sensors to collect parameters such as internal temperature, charging current, and voltage, and a controller monitors and judges these parameters, triggering alarms or implementing protective actions such as power cut-off when parameters exceed limits.

[0003] Patent CN114726042B discloses a method for early warning of battery health using charging curves and a battery charging cabinet. This solution collects battery charging parameters in real time, identifies the target charging type based on the current charging current and / or charging voltage of the current charging cell using a preset charging curve model. The charging curve model matches the target charging type with a corresponding standard charging curve and deviation range, and loads the charging parameters to generate a target charging curve. It calculates a target set of charging curves that exceed the deviation range, and calculates the target set using metrics to trigger early warning push notifications and / or battery charging cabinet early warning actions. This solution sets a range deviation by matching corresponding standard charging parameters and uses multiple metrics to provide early warnings for charging parameters.

[0004] However, the above scheme is mainly based on the deviation between the charging curve and the standard curve. Its core is still the time series analysis of a single parameter (charging current or voltage). It fails to incorporate the temperature parameter into the linkage judgment system, and does not configure the analysis logic for the temperature gradient difference between different space measurement points in the cabinet. Therefore, it has limited ability to identify thermal runaway risks characterized by temperature rise. Summary of the Invention

[0005] The purpose of this invention is to provide a battery charging explosion-proof cabinet monitoring system to solve the problems in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: A battery charging explosion-proof cabinet monitoring system includes a data acquisition module, a main control module, a communication module, an external configuration screen display module, an early warning module, and a linkage control module. The data acquisition module is used to simultaneously acquire charging parameters and distributed multi-point temperature parameters of the explosion-proof cabinet. The main control module is electrically connected to the data acquisition module and is used to receive electrical and temperature parameters transmitted by the data acquisition module. It has a built-in storage unit, signal filtering unit and dual-layer linkage analysis algorithm unit. The storage unit stores real-time collected parameter data and historical data; The signal filtering unit performs filtering and calibration processing on the acquired data; The dual-layer linkage analysis algorithm unit includes a first threshold monitoring subunit and a second multi-dimensional trend linkage subunit. The first threshold monitoring subunit outputs a high-risk intervention command when the parameter exceeds the safety boundary. The second multi-dimensional trend linkage subunit is configured with electrothermal coupling timing judgment logic and spatial temperature gradient judgment logic. Combining the two types of logic, it identifies early thermal runaway risks where the parameter has not exceeded the limit. The main control module generates graded early warning commands and linkage intervention commands based on the algorithm judgment results. The communication module is connected to the main control module via a signal and is used for bidirectional transmission of real-time operating parameters, historical stored data, and graded early warning information. The external configuration screen display module is independently arranged outside the explosion-proof hazardous area of ​​the explosion-proof cabinet and is connected to the communication module for real-time display of multi-parameter values, parameter change trend curves, temperature distribution heat map inside the cabinet, and graded early warning information, and supports historical data query and export. The early warning module is electrically connected to the main control module to form a three-level parallel early warning channel. After receiving the graded early warning instructions, it synchronously triggers the corresponding level of multi-channel early warning prompts. The linkage control module is electrically connected to the main control module and is connected to the charging circuit and the explosion-proof cabinet ventilation and cooling equipment, respectively. It is used to receive high-risk linkage intervention commands issued by the main control module and simultaneously execute operations to cut off the charging circuit and start the ventilation and cooling equipment.

[0007] Based on the above technical solutions, the present invention also provides the following optional technical solutions: In one alternative embodiment: the data acquisition module includes an electrical parameter acquisition unit and a temperature acquisition unit; The electrical parameter acquisition unit uses a multi-channel current sensor, voltage sensor, power sensor, and leakage current sensor to acquire the corresponding electrical parameters. The temperature acquisition unit uses distributed thermocouple sensors, which are arranged in different areas inside the explosion-proof cabinet, on the surface of the battery, and on the surface of the charging module to achieve multi-point temperature acquisition.

[0008] In one alternative, the signal filtering unit is configured with three types of independent adaptive filtering algorithms: a moving average filtering algorithm to prevent sudden changes in charging parameters, a first-order low-pass filtering algorithm to prevent temperature acquisition noise, and an algorithm to prevent pulse interference extremum removal to prevent leakage current parameters.

[0009] In one alternative: the electrothermal coupling timing determination logic is as follows: when the current sudden change reaches a preset ratio, a fixed-duration observation window is opened; if the cumulative temperature rise within the window reaches the standard, an electrothermal coupling hazard is determined. The spatial temperature gradient determination logic outputs an early warning if the temperature difference between the heating component and the environmental measuring point exceeds the baseline.

[0010] In one alternative: the communication module supports both wired and wireless transmission modes and has a data encryption mechanism; the communication module is wirelessly connected to the external configuration screen display module.

[0011] In one alternative: the external configuration screen display module has a built-in independent power supply unit.

[0012] In one alternative: the three-level parallel early warning channels include a local audio-visual early warning channel, an external display synchronous high-brightness early warning channel, and a remote mobile terminal push early warning channel, with different early warning display styles corresponding to different risk levels.

[0013] A monitoring method for a battery charging explosion-proof cabinet, applicable to the aforementioned battery charging explosion-proof cabinet monitoring system, includes the following steps: Step S1: The data acquisition module collects charging parameters and temperature parameters at multiple points inside the explosion-proof cabinet in real time, and transmits the collected data to the main control module; Step S2: After receiving the data, the main control module performs filtering and calibration processing through the signal filtering unit; the first threshold monitoring subunit of the dual-layer linkage analysis algorithm unit determines whether the parameters exceed the threshold; simultaneously, the second multi-dimensional trend linkage subunit performs electrothermal coupling time series analysis and spatial temperature gradient analysis on the electrical and temperature parameters to determine whether there is a risk of early thermal runaway; based on the judgment results, it generates graded early warning instructions and linkage intervention instructions, and stores the relevant parameters and instruction data into the storage unit. Step S3: The communication module transmits the real-time data, historical data, and hierarchical early warning commands processed by the main control module to the external configuration screen display module and the early warning module; Step S4: After receiving the data, the external configuration screen display module displays the values ​​of multiple parameters, trend curves, and temperature distribution heat map in real time, and simultaneously highlights the warning information when it receives the graded warning instruction; after receiving the graded warning instruction, the warning module simultaneously triggers local sound and light warning, external display highlight warning, and remote mobile terminal push warning according to the corresponding risk level. Step S5: When the linkage intervention command is determined to be high risk, the linkage control module simultaneously executes the operation of cutting off the charging circuit and starting the ventilation and cooling equipment of the explosion-proof cabinet.

[0014] A method for monitoring explosion-proof battery charging cabinets, in step S2, the main control module executes graded early warning based on the risk level obtained by the dual-layer linkage analysis algorithm unit, including: When the electrothermal coupling timing determination logic or the spatial temperature gradient determination logic detects an early anomaly, a low-level warning is triggered, and the operator is notified through the warning module. The abnormal data is recorded and continuously monitored. When the first threshold monitoring subunit detects that any single-point parameter exceeds the limit, and the second multi-dimensional trend linkage subunit confirms that there is a risk of thermal runaway, a high-level warning is triggered, and the linkage control module is forced to execute the cut-off and ventilation cooling operation in step S until the monitoring parameters return to a safe range.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention sets up a data acquisition module to synchronously collect charging parameters and distributed multi-point temperature parameters inside the explosion-proof cabinet. Combined with the built-in storage unit and signal filtering unit of the main control module, the multi-source raw data is filtered and calibrated. Compared with single threshold comparison or unfiltered monitoring methods, this invention significantly improves the accuracy and consistency of input data, providing a reliable data foundation for subsequent algorithm analysis.

[0016] 2. The present invention configures a dual-layer linkage analysis algorithm unit in the main control module. The first threshold monitoring subunit determines the parameter over-limit status, while the second multi-dimensional trend linkage subunit performs electrothermal coupling timing determination and spatial temperature gradient determination. This enables the identification of early thermal runaway risks even when the parameters are not over-limit. Compared with the existing system that only relies on single-point threshold judgment, it can output graded early warning instructions before thermal runaway occurs, thus extending the time window for safety monitoring.

[0017] 3. This invention enables bidirectional transmission of real-time operating parameters and early warning information through a communication module. Combined with an external configuration screen display module independently arranged outside the explosion-proof hazardous area and a three-level parallel early warning channel of the early warning module, operators can obtain visual monitoring information and multi-channel early warning prompts from a distance away from the explosion-proof cabinet. After receiving a high-risk intervention command, the linkage control module simultaneously cuts off the charging circuit and starts the ventilation and cooling equipment, forming a complete closed-loop control from hazard identification to active protection, improving the system's response time and protection reliability in the face of sudden abnormal operating conditions. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the overall system of the present invention.

[0019] Figure 2 This is an overall flowchart of the method of the present invention.

[0020] Figure 3 This is a flowchart of the anti-mutation moving average filtering algorithm of the present invention.

[0021] Figure 4 This is a flowchart of the first-order low-pass filter algorithm of the present invention.

[0022] Figure 5 This is a flowchart of the anti-pulse interference extreme value elimination algorithm of the present invention.

[0023] Attached diagram labels: 1. Data acquisition module; 2. Main control module; 3. Communication module; 4. External configuration screen display module; 5. Early warning module; 6. Linkage control module. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0025] In one embodiment, such as Figures 1-5 As shown, a battery charging explosion-proof cabinet monitoring system includes a data acquisition module 1, a main control module 2, a communication module 3, an external configuration screen display module 4, an early warning module 5, and a linkage control module 6. The main control module 2 is electrically connected to the data acquisition module 1 to receive electrical and temperature parameters. The main control module 2 has a built-in storage unit, signal filtering unit, and dual-layer linkage analysis algorithm unit. The storage unit stores real-time collected parameter data and historical data; The signal filtering unit performs filtering and calibration processing on the acquired data; The dual-layer linkage analysis algorithm unit includes a first threshold monitoring subunit and a second multi-dimensional trend linkage subunit; The first threshold monitoring subunit outputs a high-risk intervention command when the parameter exceeds the preset safety threshold. The second multi-dimensional trend linkage subunit is equipped with electrothermal coupling timing judgment logic and spatial temperature gradient judgment logic to identify abnormal states where the parameter does not exceed the limit but there is an early risk of thermal runaway. The main control module 2 generates graded early warning commands and linkage intervention commands accordingly. Communication module 3 is connected to main control module 2 via signal transmission, and is used for bidirectional transmission of real-time operating parameters, historical stored data and graded early warning information; The external configuration screen display module 4 is independently arranged outside the explosion-proof hazardous area of ​​the explosion-proof cabinet. It is connected to the communication module 3 to display multiple parameter values, trend curves, heat maps and graded early warning information, and provides historical data query and export. The early warning module 5 is electrically connected to the main control module 2 to construct a three-level parallel early warning channel to receive graded early warning instructions and simultaneously trigger multi-channel early warning prompts corresponding to the early warning level; The linkage control module 6 is electrically connected to the main control module 2, and is connected to the charging circuit and the explosion-proof cabinet ventilation and cooling equipment, respectively, so as to receive high-risk linkage intervention commands and simultaneously execute the operations of cutting off the charging circuit and starting ventilation and cooling.

[0026] In practice, the system first collects charging parameters and multiple temperature parameters of the explosion-proof cabinet and heating components simultaneously by the data acquisition module 1, and then transmits them to the main control module 2.

[0027] The main control module 2 filters and calibrates the collected data through the signal filtering unit, and performs analysis using the dual-layer linkage analysis algorithm unit. Through the cooperation of the first threshold monitoring subunit and the second multi-dimensional trend linkage subunit, corresponding hierarchical early warning instructions and linkage intervention instructions are generated.

[0028] Communication module 3 transmits data and commands to external configuration screen display module 4 and early warning module 5. External configuration screen display module 4 displays the status in real time and simultaneously highlights early warning information. Early warning module 5 simultaneously triggers local audible and visual early warnings, external display highlighting early warnings, and remote mobile terminal push early warnings.

[0029] Upon receiving a high-risk intervention command, the linkage control module 6 simultaneously executes operations to cut off the charging circuit and activate the ventilation and cooling equipment. This implementation method effectively identifies early thermal runaway hazards through electrothermal coupling determination and spatial gradient determination. The external configuration screen display module 4 enhances operator safety, and the three-level early warning mechanism ensures timely information transmission. The linkage control module 6 can quickly curb potential safety accidents from the source.

[0030] Furthermore, the data acquisition module 1 includes an electrical parameter acquisition unit and a temperature acquisition unit; The electrical parameter acquisition unit uses a multi-channel current sensor, voltage sensor, power sensor and leakage current sensor to acquire the corresponding electrical parameters. The temperature acquisition unit uses distributed temperature sensors, which are arranged in different areas inside the explosion-proof cabinet, on the surface of the battery, and on the surface of the charging module to achieve multi-point temperature acquisition.

[0031] During implementation, the electrical parameter acquisition unit collects key electrical parameters such as charging current, voltage, power, and leakage current in real time during the battery charging process, while the temperature acquisition unit simultaneously collects the temperature of multiple points in the explosion-proof cabinet environment and the heat-generating components.

[0032] This multi-dimensional parameter acquisition method can comprehensively cover the main sources of safety hazards during battery charging without the need to replace additional sensors, providing a complete data foundation for subsequent linkage analysis of the main control module 2.

[0033] More preferably, the signal filtering unit in the main control module 2 is equipped with multiple independently adapted filtering algorithms, including an anti-sudden change moving average filtering algorithm for charging parameter noise reduction, a first-order low-pass filtering algorithm for temperature acquisition noise reduction, and an anti-pulse interference extreme value elimination algorithm for leakage current parameter noise reduction.

[0034] like Figure 3 As shown, in the specific data processing process, in response to the instantaneous drop or jump in sampling caused by high current load switching or electromagnetic interference, the anti-mutation moving average filtering algorithm adopts a circular buffer mechanism to effectively dilute the influence weight of individual mutation values.

[0035] like Figure 4 As shown, for thermodynamic processes where ambient temperature changes relatively slowly, the first-order low-pass filtering algorithm can effectively reduce high-frequency interference caused by sensor noise floor.

[0036] like Figure 5 As shown, for safety-critical parameters such as leakage current, the anti-pulse interference extreme value elimination algorithm eliminates occasional pulse interference by continuously sampling multiple times and removing the maximum and minimum extreme values ​​and then taking the arithmetic mean.

[0037] The combined use of these filtering algorithms significantly improves the accuracy of raw data collected by various sensors and reduces the probability of misjudgment by the main control module 2 due to data glitches.

[0038] In one feasible embodiment, the electrothermal coupling timing determination logic in the main control module 2 opens a temperature observation window of fixed duration after detecting a sudden change in electrical parameters reaching a preset ratio. If the cumulative temperature rise collected within the window reaches a preset threshold, it is determined to be an electrothermal coupling hazard. The spatial temperature gradient determination logic calculates the temperature difference between the temperature of the heating component (battery surface and / or charging module surface) and the temperature of the explosion-proof cabinet environment. When the temperature difference exceeds the preset baseline, an early warning is output.

[0039] In practical applications, this dual-layer linkage analysis mechanism not only monitors the physical safety defense line where the absolute value exceeds the threshold, but also captures hidden fault characteristics through vertical and horizontal data comparison, such as abnormal heating caused by increased battery internal resistance or micro-short circuits. This allows for early identification of thermal runaway risks before the absolute temperature value exceeds the standard, thereby improving the system's preventive safety protection capabilities.

[0040] Therefore, the communication module 3 supports both wired and wireless transmission modes and has a data encryption mechanism. The communication module 3 is connected to the external configuration screen display module 4 via wireless transmission.

[0041] This design allows the communication module 3 to flexibly switch transmission modes according to the actual scene. For example, in open scenes such as large workshops or energy storage power stations, wireless mode can be used to achieve long-distance transmission. At the same time, the data encryption mechanism ensures the security of monitoring information during transmission and prevents data from being tampered with.

[0042] More preferably, the external configuration screen display module 4 has a built-in independent power supply unit, which can maintain the continuous operation of the external configuration screen display module 4 when the main power supply of the explosion-proof cabinet is disconnected.

[0043] When the explosion-proof cabinet experiences a power outage or sudden malfunction, the external configuration screen display module 4 can still continuously display key monitoring data thanks to its built-in independent power supply unit. This prevents operators from being unable to check the charging status due to the loss of main power, thus ensuring the continuity and traceability of monitoring information.

[0044] In addition, the three-level parallel early warning channels in the early warning module 5 include a local sound and light early warning channel, an external display synchronous high-brightness early warning channel, and a remote mobile terminal push early warning channel, with different early warning display styles and push methods corresponding to different risk levels.

[0045] In actual operation, when the main control module 2 determines that there is an abnormality, the early warning module 5 can issue an audible and visual warning locally, and at the same time display the warning information in different colors and styles on the external configuration screen, and push the warning content to the mobile terminal of the designated operator.

[0046] This multi-level, multi-channel early warning mechanism ensures that operators can still obtain abnormal information in a timely manner even when they are away from the explosion-proof cabinet or during off-duty periods, thus improving response speed and decision-making efficiency under abnormal operating conditions.

[0047] Based on the above system, the corresponding monitoring method first collects charging parameters and multi-point temperature parameters inside the explosion-proof cabinet in real time through the data acquisition module 1, and then transmits the collected data to the main control module 2.

[0048] Next, after receiving the data, the main control module 2 performs filtering and calibration processing through the signal filtering unit, and determines whether the parameters exceed the threshold through the first threshold monitoring subunit of the dual-layer linkage analysis algorithm unit. At the same time, the second multi-dimensional trend linkage subunit performs electrothermal coupling time series analysis and spatial temperature gradient analysis on the electrical and temperature parameters to determine whether there is a risk of early thermal runaway.

[0049] Based on the judgment results, the main control module 2 generates tiered early warning commands and linkage intervention commands, and stores the relevant parameters and command data into the storage unit. Subsequently, the communication module 3 transmits the real-time data, historical data, and tiered early warning commands processed by the main control module 2 to the external configuration screen display module 4 and the early warning module 5.

[0050] After receiving the data, the external configuration screen display module 4 displays the values ​​of multiple parameters, trend curves, and temperature distribution heat map in real time, and simultaneously highlights the warning information when it receives a graded warning command.

[0051] After receiving the graded early warning instruction, the early warning module 5 simultaneously triggers local audible and visual early warning, external display high-brightness early warning, and remote mobile terminal push early warning according to the corresponding risk level.

[0052] When the linkage intervention command is determined to be high-risk, the linkage control module 6 simultaneously executes the operation of cutting off the charging circuit and starting the ventilation and cooling equipment of the explosion-proof cabinet.

[0053] This monitoring method forms a complete closed loop from data collection, analysis and decision-making, information display and early warning to proactive protection, effectively improving the response speed and protection capability of the entire explosion-proof cabinet monitoring system.

[0054] Furthermore, in the specific monitoring and execution process, the main control module 2 executes graded early warnings based on the risk level obtained from the dual-layer linkage analysis algorithm unit; When the electrothermal coupling timing determination logic or the spatial temperature gradient determination logic detects an early abnormality, a low-level warning is triggered, and the operator is notified through the warning module 5. Abnormal data is recorded and continuously monitored. When the first threshold monitoring subunit detects that any single parameter exceeds the limit, and the second multi-dimensional trend linkage subunit confirms that there is a risk of thermal runaway, a high-level warning is triggered, and the linkage control module 6 is forced to perform the operation of cutting off the charging circuit and starting the ventilation and cooling equipment of the explosion-proof cabinet until the monitoring parameters return to the safe range. This tiered early warning strategy avoids the shortcomings of over-warning or under-warning under a single threshold, and realizes differentiated response for different risk levels. It enables the system to have the ability to proactively control safety under high-risk conditions, while maintaining monitoring and recording under low-risk conditions, which facilitates subsequent safety analysis and tracing.

[0055] Additional explanation: The overall step-by-step execution process of the dual-layer linkage analysis algorithm unit is as follows: the first step is to receive all collected parameters such as current, voltage, leakage current, and multi-point temperature after filtering and calibration, and store the real-time parameters into the sliding time window queue to complete the timing cache. The second step involves activating the first threshold monitoring subunit to traverse all parameters and compare the parameter values ​​with the preset safety thresholds one by one. If any parameter exceeds the safety boundary, a high-risk intervention instruction is directly generated and the process jumps to the instruction output stage. If all parameters are within the safety threshold range, the process proceeds to the third step: multi-dimensional trend linkage analysis. The third step involves running the electrothermal coupling timing determination logic and the spatial temperature gradient determination logic in parallel, and conducting cross-verification from the two dimensions of timing change and spatial temperature difference to identify early thermal runaway risks that are not out of bounds but show a deterioration trend. The fourth step is to summarize all the judgment results of the two sub-units, distinguish between three types of working conditions: no abnormality, low-risk early hidden danger, and high-risk parameter over-limit, and generate corresponding graded early warning instructions and linkage intervention instructions. The fifth step involves synchronously transmitting all generated instructions to the output port of the main control module, and simultaneously storing the original data and judgment results of this judgment into the storage unit for future reference.

[0056] Any aspects of this invention not described in detail are well-known to those skilled in the art.

[0057] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A monitoring system for an explosion-proof battery charging cabinet, characterized in that, It includes a data acquisition module (1), a main control module (2), a communication module (3), an external configuration screen display module (4), an early warning module (5), and a linkage control module (6); The data acquisition module (1) is used to simultaneously acquire charging parameters and distributed multi-point temperature parameters of the explosion-proof cabinet; The main control module (2) is electrically connected to the data acquisition module (1) and is used to receive electrical parameters and temperature parameters transmitted by the data acquisition module (1). It has a built-in storage unit, signal filtering unit and dual-layer linkage analysis algorithm unit. The storage unit stores real-time collected parameter data and historical data; The signal filtering unit performs filtering and calibration processing on the acquired data; The dual-layer linkage analysis algorithm unit includes a first threshold monitoring subunit and a second multi-dimensional trend linkage subunit; the first threshold monitoring subunit outputs a high-risk intervention command when the parameters exceed the safety boundary. The second multi-dimensional trend linkage subunit is configured with electrothermal coupling timing judgment logic and spatial temperature gradient judgment logic. Combining the two types of logic, it identifies early thermal runaway risks where parameters have not exceeded limits. The main control module generates graded early warning instructions and linkage intervention instructions based on the algorithm judgment results. The communication module (3) is connected to the main control module (2) via a signal and is used for bidirectional transmission of real-time operating parameters, historical stored data, and graded early warning information; The external configuration screen display module (4) is independently arranged outside the explosion-proof hazardous area of ​​the explosion-proof cabinet and is connected to the communication module (3) for real-time display of multi-parameter values, parameter change trend curves, temperature distribution heat map inside the cabinet and graded early warning information, and supports historical data query and export. The early warning module (5) is electrically connected to the main control module (2) to construct a three-level parallel early warning channel. After receiving the graded early warning instructions, it synchronously triggers the corresponding level of multi-channel early warning prompts. The linkage control module (6) is electrically connected to the main control module (2) and is connected to the charging circuit and the explosion-proof cabinet ventilation and cooling equipment, respectively. It is used to receive high-risk linkage intervention commands issued by the main control module (2) and simultaneously execute the operation of cutting off the charging circuit and starting the ventilation and cooling equipment.

2. The battery charging explosion-proof cabinet monitoring system according to claim 1, characterized in that, The data acquisition module (1) includes an electrical parameter acquisition unit and a temperature acquisition unit; The electrical parameter acquisition unit uses a multi-channel current sensor, voltage sensor, power sensor and leakage current sensor to acquire the corresponding electrical parameters respectively; The temperature acquisition unit uses distributed thermocouple sensors, which are arranged in different areas inside the explosion-proof cabinet, on the surface of the battery, and on the surface of the charging module to achieve multi-point temperature acquisition.

3. The battery charging explosion-proof cabinet monitoring system according to claim 1, characterized in that, The signal filtering unit is configured with three types of independent adaptive filtering algorithms: a moving average filtering algorithm to prevent sudden changes in charging parameters, a first-order low-pass filtering algorithm to prevent temperature acquisition noise, and an algorithm to prevent pulse interference extreme value elimination to prevent leakage current parameters.

4. The battery charging explosion-proof cabinet monitoring system according to claim 1, characterized in that, The electrothermal coupling timing judgment logic is as follows: when the current sudden change reaches a preset ratio, a fixed-duration observation window is opened; if the cumulative temperature rise within the window reaches the standard, an electrothermal coupling risk is determined. The spatial temperature gradient determination logic outputs an early warning if the temperature difference between the heating component and the environmental measuring point exceeds the baseline.

5. The battery charging explosion-proof cabinet monitoring system according to claim 1, characterized in that, The communication module (3) supports wired and wireless dual transmission modes and has a data encryption mechanism; the communication module (3) is connected to the external configuration screen display module (4) via wireless transmission.

6. The battery charging explosion-proof cabinet monitoring system according to claim 1, characterized in that, The external configuration screen display module (4) has a built-in independent power supply unit.

7. The battery charging explosion-proof cabinet monitoring system according to claim 1, characterized in that, The three-level parallel early warning channels include a local sound and light early warning channel, an external display synchronous high-brightness early warning channel, and a remote mobile terminal push early warning channel, with different early warning display styles corresponding to different risk levels.

8. A monitoring method for a battery charging explosion-proof cabinet, characterized in that, A battery charging explosion-proof cabinet monitoring system according to any one of claims 1 to 7 includes the following steps: Step S1: The data acquisition module (1) collects charging parameters and temperature parameters at multiple points inside the explosion-proof cabinet in real time, and transmits the collected data to the main control module (2). Step S2: After receiving the data, the main control module (2) performs filtering and calibration processing through the signal filtering unit; the first threshold monitoring subunit of the dual-layer linkage analysis algorithm unit determines whether the parameters exceed the threshold; at the same time, the second multi-dimensional trend linkage subunit performs electrothermal coupling time series analysis and spatial temperature gradient analysis on the electrical parameters and temperature parameters to determine whether there is an early thermal runaway risk; based on the judgment result, it generates graded early warning instructions and linkage intervention instructions, and stores the relevant parameters and instruction data into the storage unit; Step S3: The communication module (3) transmits the real-time data, historical data and hierarchical early warning instructions processed by the main control module (2) to the external configuration screen display module (4) and the early warning module (5). Step S4: After receiving the data, the external configuration screen display module (4) displays the multi-parameter values, trend curves and temperature distribution heat map in real time, and simultaneously highlights the warning information when it receives the graded warning instruction; after receiving the graded warning instruction, the warning module (5) simultaneously triggers the local sound and light warning, the external display highlight warning and the remote mobile terminal push warning according to the corresponding risk level. Step S5: When the linkage intervention command is determined to be high risk, the linkage control module (6) simultaneously executes the operation of cutting off the charging circuit and starting the ventilation and cooling equipment of the explosion-proof cabinet.

9. A monitoring method for a battery charging explosion-proof cabinet according to claim 8, characterized in that, In step S2, the main control module (2) executes a graded early warning based on the risk level obtained from the dual-layer linkage analysis algorithm unit, including: When the electrothermal coupling timing determination logic or the spatial temperature gradient determination logic detects an early abnormality, a low-level warning is triggered, and the operator is notified through the warning module (5) to record the abnormal data and continuously monitor it. When the first threshold monitoring subunit detects that any single-point parameter exceeds the limit, and the second multi-dimensional trend linkage subunit confirms that there is a risk of thermal runaway, a high-level warning is triggered, and the linkage control module (6) is forced to execute the cut-off and ventilation cooling operation in step S5 until the monitoring parameters are restored to a safe range.

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