Waste lithium battery recycling and disassembling safety monitoring method and system and storage medium

Abstract

The invention belongs to the technical field of lithium battery recovery supervision, and particularly relates to a waste lithium battery recovery and disassembly safety monitoring method and system and a storage medium, and the system specifically comprises a disassembly feasibility analysis module, a residual voltage detection module, a disassembly monitoring transmission module, a disassembly thermal runaway prediction module and a display alarm end. According to the invention, the disassembly feasibility of the corresponding waste lithium battery is analyzed through the disassembly feasibility analysis module, the tab voltage of the detachable lithium battery is detected when the feasibility qualification signal is generated, and the disassembly operation of the detachable lithium battery is prepared when the residual voltage is small. And in the disassembling process, the disassembling thermal runaway risk is analyzed in real time through the disassembling thermal runaway prediction module, the disassembling operation of the lithium battery is suspended when a thermal runaway alarm signal is generated, and corresponding emergency treatment measures are taken, so that the disassembling supervision difficulty of the lithium battery is remarkably reduced, and the disassembling safety is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery recycling supervision, and specifically to a safety monitoring method, system and storage medium for recycling and disassembling waste lithium batteries. Background Art

[0002] Waste lithium batteries refer to lithium batteries that can no longer be used in the original application field due to performance attenuation, damage or other reasons. They have potential environmental risks and recycling value and need to be properly treated in accordance with the management requirements of general industrial solid waste. By recycling and reusing waste lithium batteries, multiple goals of environmental protection, resource conservation and economic benefits can be achieved. Currently, when disassembling waste lithium batteries, it is mainly carried out automatically by a disassembly robotic arm device. However, before disassembly, it is impossible to reasonably analyze the potential risks of waste lithium batteries and give timely warnings, and it is difficult to effectively monitor and accurately feedback real-time disassembly hidden dangers during the disassembly process, which is not conducive to ensuring disassembly safety and reducing the supervision difficulty of lithium battery disassembly, and the intelligent level is low. Summary of the Invention

[0003] The purpose of the present invention is to provide a safety monitoring method, system and storage medium for recycling and disassembling waste lithium batteries to solve the problems in the prior art that before disassembly, it is impossible to reasonably analyze the potential risks of waste lithium batteries and give timely warnings, and during the disassembly process, it is difficult to effectively monitor and accurately feedback real-time disassembly hidden dangers, which is not conducive to ensuring disassembly safety and reducing the supervision difficulty of lithium battery disassembly.

[0004] To achieve the above purpose, the present invention provides the following technical solution: A safety monitoring system for recycling and disassembling waste lithium batteries, including a disassembly feasibility analysis module, a residual voltage detection module, a disassembly monitoring and transmission module, a disassembly thermal runaway prediction module and a display and alarm terminal; Before disassembling a waste lithium battery, the disassembly feasibility analysis module analyzes the disassembly feasibility of the corresponding waste lithium battery, generates a feasibility qualified signal or a feasibility alarm signal through the analysis. When generating a feasibility qualified signal, the corresponding waste lithium battery is marked as a disassemblable lithium battery, and when generating a feasibility alarm signal, the display and alarm terminal issues a warning; After marking the corresponding waste lithium battery as a disassemblable lithium battery, the residual voltage detection module uses a high-precision voltage probe to detect the ear voltage of the disassemblable lithium battery, measures the potential difference between the battery ears, obtains the residual voltage value, generates a disassembly startable signal when the residual voltage value is less than the corresponding disassembly allowable value, and prepares to perform the disassembly operation of the disassemblable lithium battery when generating the disassembly startable signal; The disassembly monitoring and transmission module monitors the disassembly operation of the disassemblable lithium battery and sends the monitoring data set of the disassembly process to the disassembly thermal runaway prediction module; the disassembly thermal runaway prediction module analyzes the risk of disassembly thermal runaway in real time, and accordingly determines whether to generate a thermal runaway alarm signal, and when the thermal runaway alarm signal is generated, the display alarm terminal issues a warning.

[0005] Furthermore, the specific analysis process of the disassembly feasibility analysis module is as follows: Based on the appearance image of the waste lithium battery, bulges on the waste lithium battery are identified, and the covered area and the bulging height of the corresponding bulges are respectively compared numerically with the preset covered area threshold and the preset bulging height threshold. If both the covered area and the bulging height exceed the corresponding preset thresholds, the corresponding bulge is marked as a risk bulge; if there is a risk bulge on the waste lithium battery, a feasibility alarm signal is generated. If there is no risk bulge on the waste lithium battery, the damaged and cracked parts on the waste lithium battery are identified based on the appearance image of the waste lithium battery, and the crack depth, crack width and crack length of the corresponding damaged and cracked parts are weighted and summed to calculate the damaged and cracked risk coefficient. The damaged and cracked risk coefficient is compared numerically with the preset damaged and cracked risk coefficient threshold. If the damaged and cracked risk coefficient exceeds the preset damaged and cracked risk coefficient threshold, the corresponding damaged and cracked part is marked as a cracked risk part; if there is a cracked risk part on the waste lithium battery, a feasibility alarm signal is generated.

[0006] Furthermore, if there is no cracked risk part on the waste lithium battery, the appearance image of the waste lithium battery is compared with the corresponding standard image for coincidence to obtain the shape change value, and the area ratio of the bulges and damaged and cracked parts on the waste lithium battery is marked as the risk surface occupancy value. The shape change value and the risk surface occupancy value are respectively compared numerically with the preset shape change threshold and the preset risk surface occupancy threshold. If the shape change value or the risk surface occupancy value exceeds the corresponding preset threshold, a feasibility alarm signal is generated; if both the shape change value and the risk surface occupancy value do not exceed the corresponding preset threshold, a feasibility qualified signal is generated.

[0007] Furthermore, the residual voltage detection module is communicatively connected to the discharge process monitoring module. When the residual voltage value is greater than or equal to the corresponding disassembly allowable value, the discharge process monitoring module uses the solid-phase discharge technology to discharge the disassemblable lithium battery until the residual voltage value of the disassemblable lithium battery is less than the corresponding disassembly allowable value, and monitors the discharge process and analyzes the discharge risk degree, and accordingly determines whether to generate a discharge alarm signal, and when the discharge alarm signal is generated, the display alarm terminal issues a warning.

[0008] Furthermore, the specific analysis process of monitoring the discharge process and analyzing the discharge risk degree is as follows: The temperature and oxygen concentration in the discharge environment are collected, and the temperature and oxygen concentration are respectively compared numerically with a preset temperature threshold and a preset oxygen concentration threshold. If the temperature or oxygen concentration exceeds the corresponding preset threshold, it is determined that the discharge dangerous state is in place; the duration of the discharge environment in the discharge dangerous state per unit time is obtained and marked as the discharge dangerous value, and the discharge dangerous value is compared numerically with a preset discharge dangerous time threshold. If the discharge dangerous value exceeds the preset discharge dangerous time threshold, a discharge alarm signal is generated; If the discharge dangerous value does not exceed the preset discharge dangerous time threshold, the discharge speed curve of the disassemblable lithium battery per unit time is collected, the discharge speed curve is placed in the first quadrant of the rectangular coordinate system, and the starting point of the discharge speed curve graph is located on the Y-axis, and a discharge upper limit line and a discharge lower limit line parallel to the X-axis are made in the first quadrant; The Y-direction distance value between the highest point and the lowest point of the discharge speed curve is marked as the discharge wave amplitude value, and several coordinate points are set on the discharge speed curve. The ratio of the number of coordinate points located above the discharge upper limit line and below the discharge lower limit line is counted and marked as the discharge abnormal point value. The discharge wave amplitude value and the discharge abnormal point value are respectively compared numerically with a preset discharge wave amplitude threshold and a preset discharge abnormal point threshold. If the discharge wave amplitude value or the discharge abnormal point value exceeds the corresponding preset threshold, a discharge alarm signal is generated.

[0009] Furthermore, the specific analysis process of the thermal runaway prediction module includes: The surface temperature data of the disassemblable lithium battery is obtained, and the temperature gradient change value We at several positions on the surface within adjacent time windows is calculated. If We = ΔT / t > 5°C / s, the corresponding position is marked as an abnormal heating point; where t represents the interval duration, and ΔT represents the temperature rise value at the corresponding position within the interval duration; if there is an abnormal heating point on the disassemblable lithium battery, a thermal runaway alarm signal is generated; If there is no abnormal heating point on the disassemblable lithium battery, the thermal runaway prediction coefficient is obtained through thermal runaway probability calculation and analysis, and the thermal runaway prediction coefficient is compared numerically with a preset thermal runaway prediction coefficient threshold. If the thermal runaway prediction coefficient exceeds the preset thermal runaway prediction coefficient threshold, a thermal runaway alarm signal is generated.

[0010] Furthermore, the specific analysis process of the thermal runaway probability calculation and analysis is as follows: The temperature gradient change values at all positions on the disassemblable lithium battery are obtained, and based on this, a temperature gradient set is obtained. The temperature gradient set is averaged to obtain a temperature gradient detection value, and the residual voltage of the disassemblable lithium battery during disassembly is marked as a residual voltage detection value; and the concentration of the organic gas generated by the electrolyte volatilization of the disassemblable lithium battery during disassembly is obtained and marked as a volatile organic compound detection value; Construct a thermal runaway prediction model based on the LSTM neural network. Input the temperature gradient detection value, residual pressure detection value, and volatile organic compound detection value into the thermal runaway prediction model. The thermal runaway prediction model performs weighted summation calculation on the temperature gradient detection value, residual pressure detection value, and volatile organic compound detection value, and accordingly obtains the thermal runaway prediction coefficient during disassembly.

[0011] Further, the disassembly thermal runaway prediction module is communicatively connected to the disassembly stability hidden danger analysis module. When no thermal runaway alarm signal is generated, the disassembly stability hidden danger analysis module monitors and analyzes the operating stability status of the disassembly robotic arm device during the disassembly process. The specific analysis process is as follows: Real-time collect the disassembly force, disassembly speed, and disassembly angle of the disassembly robotic arm device. Calculate the difference between the disassembly force and the median of the preset disassembly force range and take the absolute value to obtain the disassembly force condition value. Similarly, obtain the disassembly speed condition value and the disassembly angle condition value; Perform weighted summation calculation on the disassembly force condition value, disassembly speed condition value, and disassembly angle condition value to obtain the disassembly detection value. Obtain all disassembly detection values within a unit time and calculate their mean value to obtain the disassembly performance value, and mark the number of disassembly detection values exceeding the preset disassembly detection threshold within a unit time as the disassembly anomaly value; Compare the disassembly performance value and the disassembly anomaly value with the preset disassembly performance threshold and the preset disassembly anomaly threshold respectively. If the disassembly performance value or the disassembly anomaly value exceeds the corresponding preset threshold, generate a disassembly instability signal, and when generating the disassembly instability signal, make the display alarm end issue a warning.

[0012] The present invention also proposes a method for safely monitoring the recycling and disassembly of waste lithium batteries, including the following steps: Step 1: Analyze the disassembly feasibility of the corresponding waste lithium battery; Step 2: Mark the corresponding waste lithium battery as a disassemblable lithium battery when a feasibility qualified signal is generated; Step 3: Detect the tab voltage of the disassemblable lithium battery, and generate a disassembly startable signal when the residual voltage value is less than the corresponding disassembly allowable value; Step 4: Prepare to perform the disassembly operation of the disassemblable lithium battery when the disassembly startable signal is generated; Step 5: Monitor the disassembly operation of the disassemblable lithium battery, and send the monitoring data set of the disassembly process to the disassembly thermal runaway prediction module; based on the monitoring data set of the disassembly process, analyze the thermal runaway risk in real time, and issue a warning when a thermal runaway alarm signal is generated.

[0013] The present invention also proposes a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for safely monitoring the recycling and disassembly of waste lithium batteries is implemented.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. In the present invention, the disassembly feasibility of corresponding waste lithium batteries is analyzed through the disassembly feasibility analysis module. When a qualified feasibility signal is generated, the tab voltage of the disassemblable lithium battery is detected to determine whether discharging is required. When the residual voltage is small, the disassembly operation is carried out, and during the disassembly process, the risk of disassembly thermal runaway is analyzed in real time. When a thermal runaway alarm signal is generated, the lithium battery disassembly operation is suspended and corresponding emergency treatment measures are taken, significantly reducing the supervision difficulty of lithium battery disassembly and ensuring disassembly safety; 2. In the present invention, through the disassembly stability hidden danger analysis module, the operation stability status of the disassembly robotic arm device during the disassembly process is monitored and analyzed when no thermal runaway alarm signal is generated. When a disassembly instability signal is generated, cause investigation and analysis are carried out and corresponding adjustment measures are taken for the disassembly robotic arm device, ensuring its operation stability and reducing the disassembly risk. It has a high level of intelligence, further reducing the supervision difficulty during the disassembly process and ensuring the smooth, efficient and safe progress of the disassembly process. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings; Figure 1 It is the system block diagram of the first embodiment in the present invention; Figure 2 It is the system block diagram of the second embodiment in the present invention; Figure 3 It is the method flow chart of the third embodiment in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] Embodiment 1: As Figure 1 shown, a waste lithium battery recycling and disassembly safety monitoring system proposed by the present invention includes a disassembly feasibility analysis module, a residual voltage detection module, a disassembly monitoring and transmission module, a disassembly thermal runaway prediction module, and a display and alarm terminal; Before disassembling waste lithium batteries, the disassembly feasibility analysis module analyzes the disassembly feasibility of the corresponding waste lithium batteries, generates a feasibility pass signal or a feasibility alarm signal through the analysis. When generating a feasibility pass signal, the corresponding waste lithium battery is marked as a disassemblable lithium battery. When generating a feasibility alarm signal, the display alarm terminal issues a warning, which can reasonably judge whether the corresponding waste lithium battery is suitable for disassembly and contribute to the safety and effectiveness of the subsequent disassembly process. The specific analysis process of the disassembly feasibility analysis module is as follows: Based on the appearance image of the waste lithium battery to identify the bulges on the waste lithium battery, numerically compare the covered area and the bulge height of the corresponding bulge with the preset covered area threshold and the preset bulge height threshold respectively. If both the covered area and the bulge height exceed the corresponding preset thresholds, the corresponding bulge is marked as a risk bulge; if there are risk bulges on the waste lithium battery, it indicates that the disassembly safety hazard of the waste lithium battery is relatively high, and a feasibility alarm signal is generated. If there are no risk bulges on the waste lithium battery, based on the appearance image of the waste lithium battery to identify the damaged and cracked parts on the waste lithium battery, calculate the weighted sum of the crack depth, crack width and crack length of the corresponding damaged and cracked parts to obtain the damage and cracking risk coefficient, that is, assign corresponding preset weight coefficients to the crack depth, crack width and crack length respectively, multiply the crack depth, crack width and crack length by the corresponding preset weight coefficients, and sum the three product results to obtain the damage and cracking risk coefficient accordingly; moreover, the larger the value of the damage and cracking risk coefficient, the higher the safety risk brought by the corresponding damaged and cracked part. Numerically compare the damage and cracking risk coefficient with the preset damage and cracking risk coefficient threshold. If the damage and cracking risk coefficient exceeds the preset damage and cracking risk coefficient threshold, the corresponding damaged and cracked part is marked as a cracking risk part; if there are cracking risk parts on the waste lithium battery, it indicates that the disassembly safety hazard of the waste lithium battery is relatively high, and a feasibility alarm signal is generated.

[0018] Furthermore, if there are no cracking risk parts on the waste lithium battery, the appearance image of the waste lithium battery is compared with the corresponding standard image for coincidence to obtain the shape change value, and the area ratio of the bulges and damaged and cracked parts on the waste lithium battery is marked as the risk surface occupancy value. Numerically compare the shape change value and the risk surface occupancy value with the preset shape change threshold and the preset risk surface occupancy threshold respectively. If the shape change value or the risk surface occupancy value exceeds the corresponding preset threshold, it indicates that the comprehensive disassembly safety hazard of the waste lithium battery is relatively high, and a feasibility alarm signal is generated; if both the shape change value and the risk surface occupancy value do not exceed the corresponding preset threshold, it indicates that the comprehensive disassembly safety hazard of the waste lithium battery is relatively low, and a feasibility pass signal is generated.

[0019] After marking the corresponding used lithium battery as a disassemblable lithium battery, the residual voltage detection module uses a high-precision voltage probe to detect the voltage of the tab of the disassemblable lithium battery, measure the potential difference between the battery tabs, and obtain the residual voltage value. When the residual voltage value is less than the corresponding disassembly allowable value (preferably, the disassembly allowable value is 1V), it indicates that the residual voltage is small. At this time, a disassembly startable signal is generated. When the disassembly startable signal is generated, the disassembly operation of the disassemblable lithium battery is prepared, which helps to avoid fires or explosions caused by short circuits during the disassembly of used lithium batteries.

[0020] The disassembly monitoring and transmission module monitors the disassembly operation of the disassemblable lithium battery (including temperature field monitoring by an infrared thermal imager with an accuracy of ±2°C; a high-precision voltage probe for residual voltage detection with a range of 0 - 50V; a MEMS gas sensor for VOCs concentration monitoring, etc.), and sends the monitoring data set of the disassembly process to the disassembly thermal runaway prediction module; The disassembly thermal runaway prediction module analyzes the risk of disassembly thermal runaway in real time, and accordingly determines whether to generate a thermal runaway alarm signal. When the thermal runaway alarm signal is generated, the display alarm terminal issues a warning to remind the management staff to suspend the lithium battery disassembly operation in time and take corresponding emergency treatment measures, significantly reducing the difficulty of lithium battery disassembly supervision and ensuring disassembly safety; the specific analysis process of the disassembly thermal runaway prediction module is as follows: Obtain the surface temperature data of the disassemblable lithium battery, calculate the temperature gradient change value We at several positions on the surface within adjacent time windows. If We = ΔT / t > 5°C / s, mark the corresponding position as an abnormal heating point; where t represents the interval duration, and ΔT represents the temperature rise value at the corresponding position within the interval duration; if there are abnormal heating points on the disassemblable lithium battery, it indicates that the disassembly risk of the current disassembly process is relatively high and the probability of thermal runaway is relatively large, then a thermal runaway alarm signal is generated; If there are no abnormal heating points on the disassemblable lithium battery, the thermal runaway prediction coefficient is obtained through thermal runaway probability calculation and analysis. Specifically: obtain the temperature gradient change values at all positions on the disassemblable lithium battery, and accordingly obtain the temperature gradient set. Calculate the mean value of the temperature gradient set to obtain the temperature gradient detection value, and mark the residual voltage of the disassemblable lithium battery during disassembly as the residual voltage detection value; And obtain the concentration of the organic gas generated by the evaporation of the electrolyte of the disassemblable lithium battery during disassembly and mark it as the volatile organic compound detection value (electrolyte leakage will significantly increase the risk of combustion and explosion); Build a thermal runaway prediction model based on the LSTM neural network, input the temperature gradient detection value, residual voltage detection value, and volatile organic compound detection value into the thermal runaway prediction model. The thermal runaway prediction model performs weighted summation calculation on the temperature gradient detection value, residual voltage detection value, and volatile organic compound detection value, and accordingly obtains the thermal runaway prediction coefficient during disassembly; That is, corresponding preset weight coefficients are assigned to the temperature gradient detection value, residual voltage detection value, and volatile organic compound detection value in advance. The temperature gradient detection value, residual voltage detection value, and volatile organic compound detection value are multiplied by the corresponding preset weight coefficients respectively, and the sum of the three product results is marked as the thermal runaway prediction coefficient. Moreover, the larger the value of the thermal runaway prediction coefficient, the higher the disassembly risk of the current disassembly process and the greater the probability of thermal runaway. The thermal runaway prediction coefficient is numerically compared with the preset thermal runaway prediction coefficient threshold. If the thermal runaway prediction coefficient exceeds the preset thermal runaway prediction coefficient threshold, indicating that the overall disassembly risk of the current disassembly process is relatively high and the probability of thermal runaway is relatively large, a thermal runaway alarm signal is generated.

[0021] Moreover, the residual voltage detection module is communicatively connected to the discharge process monitoring module. When the residual voltage value is greater than or equal to the corresponding disassembly allowable value, the discharge process monitoring module uses the solid-phase discharge technology to discharge the lithium battery to be disassembled until the residual voltage value of the lithium battery to be disassembled is less than the corresponding disassembly allowable value. And the discharge process is monitored and the discharge risk degree is analyzed, and based on this, it is judged whether to generate a discharge alarm signal. When a discharge alarm signal is generated, the display alarm terminal issues a warning to remind the management personnel to conduct a cause investigation and suspend the discharge operation to ensure the safety and stability of the discharge process. The specific analysis process is as follows: The temperature and oxygen concentration in the discharge environment are collected. The temperature and oxygen concentration are numerically compared with the preset temperature threshold and preset oxygen concentration threshold respectively. If the temperature or oxygen concentration exceeds the corresponding preset threshold, it is judged that the discharge is in a dangerous state. The duration of the discharge environment being in a dangerous state per unit time is obtained and marked as the discharge danger value. The discharge danger value is numerically compared with the preset discharge danger value threshold. If the discharge danger value exceeds the preset discharge danger value threshold, indicating that the risk existing in the discharge environment is relatively high, a discharge alarm signal is generated. If the discharge danger value does not exceed the preset discharge danger value threshold, the discharge speed curve of the lithium battery to be disassembled per unit time is collected. The discharge speed curve is placed in the first quadrant of the rectangular coordinate system, and the starting point of the discharge speed curve graph is located on the Y-axis. And in the first quadrant, a discharge upper limit line and a discharge lower limit line parallel to the X-axis are drawn (the discharge upper limit line is above the discharge lower limit line, and the Y-axis coordinate values corresponding to the discharge upper limit line and the discharge lower limit line represent the upper limit value and the lower limit value of the preset discharge speed range). Mark the Y - direction distance value between the highest point and the lowest point of the discharge speed curve as the discharge wave amplitude. And set several coordinate points on the discharge speed curve, count the ratio of the number of coordinate points above the upper discharge limit line and below the lower discharge limit line and mark it as the discharge anomaly value. Numerically compare the discharge wave amplitude and the discharge anomaly value with the preset discharge wave amplitude threshold and the preset discharge anomaly threshold respectively. If the discharge wave amplitude or the discharge anomaly value exceeds the corresponding preset threshold, indicating that the discharge control performance is poor, then generate a discharge alarm signal.

[0022] Embodiment 2: As Figure 2 shown, the difference between this embodiment and Embodiment 1 is that the disassembly thermal runaway prediction module is communicatively connected to the disassembly stability hidden danger analysis module. When no thermal runaway alarm signal is generated, the disassembly stability hidden danger analysis module monitors and analyzes the operation stability of the disassembly robotic arm device during the disassembly process, and real - time collects the disassembly force, disassembly speed, and disassembly angle of the disassembly robotic arm device. Calculate the difference between the disassembly force and the median of the preset disassembly force range and take the absolute value to obtain the disassembly force condition value. Similarly, obtain the disassembly speed condition value and the disassembly angle condition value; Perform a weighted sum calculation on the disassembly force condition value, the disassembly speed condition value, and the disassembly angle condition value to obtain the disassembly detection value, that is, preset a set of preset weight coefficients corresponding to the disassembly force condition value, the disassembly speed condition value, and the disassembly angle condition value respectively. Multiply the disassembly force condition value, the disassembly speed condition value, and the disassembly angle condition value by the corresponding preset weight coefficients respectively, and sum the results of the three groups of products to obtain the disassembly detection value accordingly; Moreover, the larger the value of the disassembly detection value, the worse the real - time operation condition of the disassembly robotic arm device; Obtain all the disassembly detection values within a unit time and calculate their mean value to obtain the disassembly performance value, and mark the number of disassembly detection values exceeding the preset disassembly detection threshold within a unit time as the disassembly anomaly value. Numerically compare the disassembly performance value and the disassembly anomaly value with the preset disassembly performance threshold and the preset disassembly anomaly threshold respectively; If the disassembly performance value or the disassembly anomaly value exceeds the corresponding preset threshold, indicating that the operation stability of the disassembly robotic arm device within a unit time is poor, which is not conducive to ensuring the disassembly safety and disassembly effect, then generate a disassembly instability signal. When generating the disassembly instability signal, make the display alarm terminal issue a warning to remind the management personnel to conduct a cause investigation and analysis in a timely manner, and take corresponding adjustment measures for the disassembly robotic arm device to ensure its operation stability and reduce the disassembly risk.

[0023] Embodiment 3: As Figure 3 shown, the difference between this embodiment and Embodiment 1 and Embodiment 2 is that a method for safety monitoring of the recycling and disassembly of waste lithium - ion batteries proposed by the present invention includes the following steps: Step 1, analyze the disassembly feasibility of the corresponding waste lithium - ion battery; Step 2: When a feasibility qualified signal is generated, mark the corresponding waste lithium battery as a disassemblable lithium battery; Step 3: Detect the tab voltage of the disassemblable lithium battery, and generate a disassembly startable signal when the remaining voltage value is less than the corresponding disassembly allowable value; Step 4: When a disassembly startable signal is generated, prepare for the disassembly operation of the disassemblable lithium battery; Step 5: Monitor the disassembly operation of the disassemblable lithium battery, and send the monitoring data set of the disassembly process to the disassembly thermal runaway prediction module; based on the monitoring data set of the disassembly process, analyze the risk of disassembly thermal runaway in real time, and issue a warning when a thermal runaway alarm signal is generated.

[0024] The present invention also proposes a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned safety monitoring method for recycling and disassembling waste lithium batteries is realized. Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to the computer program. The foregoing computer program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above method embodiments, and the foregoing storage medium includes: various media such as ROM, RAM, magnetic disk or optical disc that can store program codes.

[0025] The working principle of the present invention: In use, the disassembly feasibility analysis module analyzes the disassembly feasibility of the corresponding waste lithium battery, and can reasonably judge whether the corresponding waste lithium battery is suitable for disassembly. When a feasibility qualified signal is generated, the remaining voltage detection module detects the tab voltage of the disassemblable lithium battery. When the remaining voltage is small, prepare for the disassembly operation of the disassemblable lithium battery, which is beneficial to ensure the safety and effectiveness of the disassembly process; And when the remaining voltage value is large, the discharge process monitoring module discharges the disassemblable lithium battery and analyzes the degree of discharge risk. When a discharge alarm signal is generated, investigate the cause and suspend the discharge operation to ensure the safety and stability of the discharge process. And during the disassembly process, the disassembly thermal runaway prediction module analyzes the risk of disassembly thermal runaway in real time. When a thermal runaway alarm signal is generated, suspend the lithium battery disassembly operation and take corresponding emergency treatment measures, significantly reducing the supervision difficulty of lithium battery disassembly and ensuring disassembly safety, with a high level of intelligence.

[0026] This specification selects and specifically describes these embodiments to better explain the principle and practical application of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A waste lithium battery recycling and disassembly safety monitoring system, characterized in that: It includes a disassembly feasibility analysis module, a residual voltage detection module, a disassembly monitoring transmission module, a disassembly thermal runaway prediction module and a display alarm terminal; Before disassembling the waste lithium battery, the disassembly feasibility analysis module analyzes the disassembly feasibility of the corresponding waste lithium battery, and marks the corresponding waste lithium battery as a disassemblyable lithium battery when generating a feasibility qualified signal; After marking the corresponding waste lithium battery as a disassembled lithium battery, the residual voltage detection module measures the potential difference between the battery tabs to obtain the residual voltage value, and generates a disassembly start signal when the residual voltage value is less than the corresponding disassembly allowable value. When the disassembly start signal is generated, the disassembly operation of the disassembled lithium battery is prepared; the disassembly monitoring transmission module monitors the disassembly operation of the disassembled lithium battery, and the disassembly thermal runaway prediction module analyzes the disassembly thermal runaway risk in real time, and determines whether to generate a thermal runaway alarm signal based on this, and causes the display alarm terminal to issue a warning when the thermal runaway alarm signal is generated.

2. A waste lithium battery recycling and disassembly safety monitoring system according to claim 1, characterized in that: The specific analysis process of the disassembly feasibility analysis module is as follows: Based on the appearance image of the waste lithium battery, the bulge on the waste lithium battery is identified. If there is a risk bulge on the waste lithium battery, a feasibility alarm signal is generated; if there is no risk bulge on the waste lithium battery, the damaged and cracked parts on the waste lithium battery are identified based on the appearance image of the waste lithium battery. If there is a risk part of rupture on the waste lithium battery, a feasibility alarm signal is generated.

3. A waste lithium battery recycling and disassembly safety monitoring system according to claim 2, characterized in that: If there is no risk of rupture on the used lithium battery, the shape change value and the risk surface value will be numerically compared with the corresponding preset thresholds. If the shape change value or the risk surface value exceeds the corresponding preset threshold, a feasibility alarm signal is generated; otherwise, a feasibility qualified signal is generated.

4. A waste lithium battery recycling and disassembly safety monitoring system according to claim 1, characterized in that: The residual voltage detection module is communicatively connected to the discharge processing monitoring module. When the residual voltage value is greater than or equal to the corresponding disassembly allowable value, the discharge processing monitoring module uses solid phase discharge technology to discharge the disassemblyable lithium battery until the residual voltage value of the disassemblyable lithium battery is less than the corresponding disassembly allowable value, and monitors the discharge process and analyzes the degree of discharge risk, thereby determining whether to generate a discharge alarm signal.

5. A waste lithium battery recycling and disassembly safety monitoring system according to claim 4, characterized in that: The specific analysis process of monitoring the discharge process and analyzing the degree of discharge risk is as follows: If the discharge danger time value exceeds the preset discharge danger time threshold, a discharge alarm signal is generated; if the discharge danger time value does not exceed the preset discharge danger time threshold, the discharge amplitude value and the discharge anomaly value are numerically compared with the preset discharge amplitude threshold and the preset discharge anomaly threshold respectively, and if the discharge amplitude value or the discharge anomaly value exceeds the corresponding preset threshold, a discharge alarm signal is generated.

6. A waste lithium battery recycling and disassembly safety monitoring system according to claim 1, characterized in that: The specific analysis process of disassembling the thermal runaway prediction module includes: The surface temperature data of the disassembled lithium battery is obtained, and the temperature gradient change values ​​We at several positions on the surface in adjacent time windows are calculated. Based on this, abnormal hot spots are identified. If there are abnormal hot spots on the disassembled lithium battery, a thermal runaway alarm signal is generated; if there are no abnormal hot spots on the disassembled lithium battery, a thermal runaway prediction coefficient is obtained through thermal runaway probability calculation and analysis. If the thermal runaway prediction coefficient exceeds the preset thermal runaway prediction coefficient threshold, a thermal runaway alarm signal is generated.

7. A waste lithium battery recycling and disassembly safety monitoring system according to claim 6, characterized in that: The specific analysis process of thermal runaway probability calculation and analysis is as follows: A thermal runaway prediction model is constructed based on the LSTM neural network. The temperature gradient detection values, residual pressure detection values ​​and volatile organic compound detection values ​​are input into the thermal runaway prediction model. The thermal runaway prediction model performs weighted sum calculation on the temperature gradient detection values, residual pressure detection values ​​and volatile organic compound detection values, and accordingly obtains the thermal runaway prediction coefficient during disassembly.

8. A waste lithium battery recycling and disassembly safety monitoring system according to claim 6, characterized in that: The disassembly thermal runaway prediction module is communicated with the disassembly stability hidden danger analysis module. When no thermal runaway alarm signal is generated, the disassembly stability hidden danger analysis module monitors and analyzes the operating stability of the disassembly robot arm equipment during the disassembly process. The specific analysis process is as follows: All disassembly detection values ​​within a unit time are obtained and their average is calculated to obtain a disassembly performance value, and the number of disassembly detection values ​​that exceed a preset disassembly detection threshold within a unit time is marked as a disassembly abnormal value; if the disassembly performance value or the disassembly abnormal value exceeds the corresponding preset threshold, a disassembly unstable signal is generated, and when the disassembly unstable signal is generated, the display alarm terminal issues a warning.

9. A monitoring method for a waste lithium battery recycling and disassembly safety monitoring system as claimed in any one of claims 1 to 8, characterized in that: The following steps are involved: Step 1: Disassembly feasibility analysis; Step 2: When generating a feasibility qualified signal, mark the corresponding waste lithium battery as a disassembled lithium battery; Step 3: Detect the lug voltage of the disassembled lithium battery, and generate a disassembly start signal when the residual voltage value is less than the corresponding disassembly allowable value; Step 4: Dismantle the device; Step 5: Based on the monitoring data set of the disassembly process, the risk of thermal runaway during disassembly is analyzed in real time, and an early warning is issued when a thermal runaway alarm signal is generated.

10. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the monitoring method of the waste lithium battery recycling and disassembly safety monitoring system as claimed in claim 9 is implemented.

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