A battery box production management and control method and device based on process parameters and a medium

Abstract

The application discloses a battery box production control method and device based on process parameters, and a medium, relates to the technical field of battery box production control, and comprises the following steps: collecting data of each production process according to a battery box production identifier, and sequentially arranging, process binding and processing area coding the collected process parameters to generate a real-time process state data frame; identifying a target processing area with process parameter deviation based on the real-time process state data frame, determining a diagnostic parameter from the adjustable process parameters and applying a short-time bidirectional micro-disturbance, determining the abnormal source and the process influence relationship between the production process according to the corresponding process response, and obtaining the process causality; and the application realizes the effects of avoiding repeated adjustment and improving the deviation closed-loop elimination capability.

Description

Technical Field

[0001] This invention relates to the field of battery box production control technology, and in particular to a battery box production control method, equipment and medium based on process parameters. Background Technology

[0002] As power battery manufacturing develops towards flexibility, continuity, and high consistency, production processes such as battery box welding, gluing, assembly, fastening, and sealing inspection are gradually equipped with sensors, programmable controllers, and manufacturing execution platforms. Existing battery box production process control typically involves collecting process parameters such as temperature, pressure, displacement, torque, glue amount, and cycle time at each workstation, comparing the collected results with the set range of the corresponding process, and correcting the equipment settings according to preset adjustment rules when parameters exceed limits at abnormal workstations to maintain the stability of the process state of a single process. At the same time, production identification links the data of each workstation, providing a data foundation for quality traceability and anomaly handling.

[0003] In continuous battery box production scenarios, deviations in size, sealing, or connection quality within the same processing area may be caused by the combined effects of multiple preceding and following production processes. Existing methods primarily rely on independent judgment and local adjustments at each workstation. When deviations from preceding processes are passed on to subsequent processes and the remaining adjustment capacity of a single workstation is insufficient, it becomes difficult for each workstation to identify the source of the anomaly based on the actual impact relationship and to coordinate available correction capacity. This can easily lead to situations where multiple workstations simultaneously perform compensation in the same direction for the same deviation, residual deviations remain after local correction, or the correction task lacks clear transfer conditions between processes. This is because a unified correlation constraint has not yet been formed between process parameter deviations, the order of process influence, and equipment adjustment boundaries. Therefore, it is necessary to establish an orderly relay correction mechanism for multi-process coupled deviations to improve the coordination and continuity of deviation compensation in battery box production process control. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a battery box production control method based on process parameters to solve the problems of difficulty in accurately locating the abnormal sources of multi-process coupling deviations and difficulty in orderly relay compensation of residual deviations.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a battery box production control method based on process parameters, comprising: collecting data for each production process according to the battery box production identifier, and performing time-series processing, process binding, and processing area coding on the collected process parameters to generate a real-time process status data frame; identifying target processing areas with process parameter deviations based on the real-time process status data frame, determining diagnostic parameters from adjustable process parameters and applying short-term bidirectional micro-perturbations, determining the source of the anomaly and its process influence relationship with the production process based on the corresponding process response, and obtaining the process causal relationship; fusing the process causal relationship and the real-time process status data frame, and transmitting the process parameter deviation of the target processing area to... The production process is analyzed, and a process correction reachability domain is constructed based on the process correction boundary of the production process. Based on the process correction reachability domain, a cross-process relay correction method is determined, forming a cross-station correction control constraint, and the abnormal state of battery box production is obtained. Based on the abnormal state of battery box production, candidate correction processes and correction order are determined, a correction task token is sent to the first candidate correction process, and other candidate correction processes are restricted from performing the same compensation direction adjustment for the deviation to be corrected in the same target processing area. Based on the equipment execution feedback, the remaining process deviation is transferred to the next candidate correction process along with the correction task token. When there is no backup correction capacity, the battery box is controlled to suspend the flow, and battery box production process control information is generated.

[0007] As a preferred embodiment of the battery box production control method based on process parameters described in this invention, the steps of collecting data for each production process according to the battery box production identifier, and performing time-series processing, process binding, and processing area encoding on the collected process parameters to generate a real-time process status data frame are as follows: Using the battery box production identifier as the retrieval index, the corresponding process parameters are collected from each workstation according to the production process sequence, and the collection time, process identifier and processing area code are written for each group of process parameters. The process parameters are arranged according to the time of acquisition. Based on the process identifier and processing area code, the process parameters belonging to the same production process and the same processing area are merged into the corresponding data positions and encapsulated in sequence to form a real-time process status data frame.

[0008] As a preferred embodiment of the battery box production control method based on process parameters described in this invention, the specific steps of identifying target processing areas with process parameter deviations based on real-time process status data frames, determining diagnostic parameters from adjustable process parameters, and applying short-term bidirectional micro-perturbations are as follows: Extract the corresponding process parameters from the real-time process status data frame, compare each process parameter with the normal process range of the corresponding process, and mark the processing area that exceeds the normal process range and maintains the deviation during the continuous acquisition period as the target processing area. Based on the process binding relationship corresponding to the target processing area, screen the process parameters that can be adjusted online and have not reached the adjustment boundary, and determine the diagnostic parameters according to the degree of response correlation between each process parameter and the current deviation; Keeping other process parameters constant, apply parameter increments with the same amplitude but opposite directions to the diagnostic parameters in adjacent short-time diagnostic cycles, and record the changes in process parameters of the target processing area and related production processes under the two disturbance directions.

[0009] As a preferred embodiment of the battery box production control method based on process parameters described in this invention, the specific steps for determining the source of the anomaly and its process influence relationship with the production process based on the corresponding process response to obtain the process causal relationship are as follows: The process parameter changes collected under the two perturbation directions are time-aligned. Process responses that show opposite trends with the positive and negative perturbations of the diagnostic parameters are retained, while process fluctuations that do not change with the perturbation direction or exceed the response period are removed. The production processes are sorted according to the time of occurrence of the process response. The response of each production process is compared and traced step by step along the process binding relationship corresponding to the target processing area. Instantaneous fluctuations that only occur at a single acquisition time are excluded. The production process that first generates a continuous and stable response is determined as the first response process. The first response process is bound to the corresponding diagnostic parameters to determine the source of the anomaly. Based on the time sequence of the process responses generated in each production process, and according to the direction and magnitude of the response changes, the direction and degree of process influence are determined, and the process causal relationship is formed.

[0010] As a preferred embodiment of the battery box production control method based on process parameters described in this invention, the method of fusing process causal relationships and real-time process status data frames, transmitting process parameter deviations of the target processing area to the production process, and constructing a process correction reachable domain based on the process correction boundary of the production process, is as follows: Extract the direction, degree, and response sequence of the process influence between the target processing area and each production process from the process causal relationship, and retrieve the process parameter deviation corresponding to the target processing area from the real-time process status data frame; Based on the direction and degree of process influence, the process parameter deviations of the target processing area are mapped to the corresponding production processes. The deviations to be corrected for each production process are determined, and a process deviation transmission record is generated. The current status and process correction boundary of the adjustable process parameters in each production process are retrieved according to the process deviation transmission record. The allowable adjustment direction of the process parameters is matched with the compensation direction of the deviation to be corrected. The process parameters that can reduce the deviation to be corrected and have not reached the process correction boundary are retained, and the correction direction and remaining correction capacity of the corresponding production process are determined. Based on the degree of process influence corresponding to each adjustable process parameter, the remaining correction capacity is converted into the compensable deviation amount for the process parameter deviation of the target processing area; the compensable deviation amounts of each adjustable process parameter in the same production process are superimposed according to the compensation direction to determine the correctable range of the corresponding production process, and the correctable range is bound to the production process identifier to construct the process correction reachable domain.

[0011] As a preferred embodiment of the battery box production control method based on process parameters described in this invention, the specific steps for determining the cross-process relay correction method based on the process correction reachability domain, forming cross-station correction control constraints, and obtaining the abnormal state of battery box production are as follows: The deviation to be corrected corresponding to the target processing area is compared with the process correction reachable domain of each production process. Production processes with correction direction consistent with deviation compensation direction and remaining correction capacity are retained and arranged according to the response order in the process influence relationship to generate candidate relay correction paths. The deviations to be corrected are sequentially allocated along the candidate relay correction path. The corresponding correction amount is determined within the correctable range of the current production process. The deviation that the current production process can compensate for is deducted from the deviations to be corrected, and the remaining process deviations are allocated to the next production process to determine the cross-process relay correction method. The execution order of each production process is determined according to the candidate relay correction path, and the remaining process deviation after the current production process is executed is used as the starting condition for the next production process, forming a cross-station correction control constraint. The correctable amount of each production process is accumulated according to the execution order and compared with the deviation to be corrected. When the accumulated correctable amount can cover the deviation to be corrected, a relay correction mark and the corresponding candidate relay correction path are written. When the accumulated correctable amount cannot cover the deviation to be corrected, an uncompensated deviation and a paused flow mark are written, generating an abnormal state of battery box production.

[0012] As a preferred embodiment of the battery box production control method based on process parameters described in this invention, the steps of determining candidate correction processes and correction order according to the abnormal state of battery box production, sending a correction task token to the first candidate correction process, and restricting other candidate correction processes from performing adjustments in the same compensation direction for the deviation to be corrected in the same target processing area are as follows: Retrieve abnormal correction information from abnormal battery box production status, match the correction direction and remaining correction capacity of each production process with the deviation to be corrected, and retain the production process that can compensate for the deviation to be corrected. The remaining production processes are arranged according to the response order in the candidate relay correction path, and the corresponding correction tasks are assigned in sequence according to the correctable amount of each production process to determine the candidate correction processes and correction order. The target processing area, the deviation to be corrected, and the corresponding compensation direction are bound as the correction object. A correction task token is sent to the first candidate correction process, and the other candidate correction processes are set to a waiting state. The adjustment instructions in the same direction issued by other candidate correction processes for the same correction object are intercepted.

[0013] As a preferred embodiment of the battery box production control method based on process parameters described in this invention, the following steps are taken: Based on equipment execution feedback, the remaining process deviation is transferred to the next candidate correction process along with the correction task token; when there is no backup correction capacity, the battery box production is paused; and battery box production process control information is generated. Receive the equipment execution feedback returned by the current candidate correction process, extract the actual process parameter adjustment amount from the equipment execution feedback, and convert the actual process parameter adjustment amount into the actual compensation deviation amount according to the corresponding process influence relationship; compare the actual compensation deviation amount with the allocated correction amount, and deduct the actual compensation deviation amount from the remaining process deviation before correction, and update the remaining process deviation. If the remaining process deviation is not eliminated after the update, verify the remaining correction capacity of the next candidate correction process, transfer the remaining process deviation and correction task token to the next candidate correction process that meets the correction requirements, and remove the current candidate correction process's adjustment permission for the corresponding correction object. When the remaining process deviation is eliminated, the transfer of the correction task token ends and the battery box flow resumes. When there are no candidate correction processes that can continue to compensate for the remaining process deviation, the transfer of the correction task token stops and a pause control command is sent to the battery box flow equipment. The execution feedback and remaining process deviation of each candidate correction process are collected to generate battery box production process control information.

[0014] In a second aspect, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, it implements any step of the battery box production control method based on process parameters as described in the first aspect of the present invention.

[0015] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the battery box production control method based on process parameters as described in the first aspect of the present invention.

[0016] The beneficial effects of this invention are as follows: by transmitting the process parameter deviation of the target processing area to each production process according to the process causal relationship, and constructing the process correction reachable domain in combination with the process correction boundary, it is possible to clarify the compensation direction, correctable range and remaining correction capacity of each process, and then allocate correction tasks along the candidate relay correction path and constrain the execution order with correction task tokens, so that the remaining process deviation is transferred step by step with the equipment execution feedback, providing a continuous and traceable cross-process correction basis for the battery box production process control, thereby avoiding repeated adjustments and improving the ability to eliminate deviations in a closed loop. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a battery box production control method based on process parameters.

[0019] Figure 2 A flowchart for constructing the reachability domain for process modification.

[0020] Figure 3 A flowchart for generating abnormal states in battery box production.

[0021] Figure 4 A flowchart for generating control information for the battery box production process. Detailed Implementation

[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0025] Reference Figures 1-4This is one embodiment of the present invention, which provides a battery box production control method based on process parameters, including the following steps: S1. Collect data for each production process according to the battery box production identification, and organize the collected process parameters in sequence, bind the process and encode the processing area to generate real-time process status data frames.

[0026] Using the battery box production identifier as the retrieval index, the corresponding process parameters are collected from each workstation according to the production process sequence, and the collection time, process identifier and processing area code are written for each group of process parameters.

[0027] Furthermore, using the battery box production identifier as a retrieval index, the current workstation of the battery box is identified according to the preset production process sequence. Based on the correspondence between the workstation and the production process and processing area, the current production process and corresponding processing area are determined. The equipment set values, actual operating values, and processing and testing values ​​are collected from the production equipment, testing equipment, and process controller of the current workstation. The collection time is recorded synchronously, and the corresponding process identifier and processing area code are written into it to form a process parameter record.

[0028] The process parameters are arranged according to the time of acquisition. Based on the process identification and processing area code, the process parameters belonging to the same production process and the same processing area are merged into the corresponding data positions and encapsulated in sequence to form a real-time process status data frame.

[0029] Furthermore, the process parameters are recorded and sorted according to the acquisition time. The process identifier and processing area code are used as the merging criteria. The equipment settings, actual operating values, and processing detection values ​​corresponding to the same production process and processing area are written into the same data location. For the same type of process parameters with different acquisition times, the corresponding parameter values ​​and change records are retained according to the time sequence. When the process identifier or processing area code is missing, the missing information is supplemented according to the equipment identifier and adjacent acquisition records. If a unique match can be found, it is written into the corresponding data location. If a unique match cannot be found, it is marked as an abnormal record and excluded from the current real-time process status data frame. The merged data locations are arranged according to the production process sequence, and the acquisition time, process identifier, processing area code, and corresponding process parameters are encapsulated into a real-time process status data frame.

[0030] S2. Based on real-time process status data frames, identify target processing areas with process parameter deviations, determine diagnostic parameters from adjustable process parameters and apply short-term bidirectional micro-perturbations, determine the source of the anomaly and its process influence relationship with the production process based on the corresponding process response, and obtain the process causal relationship.

[0031] Extract the corresponding process parameters from the real-time process status data frame, compare each process parameter with the normal process range of the corresponding process, and mark the processing area that exceeds the normal process range and maintains the deviation during the continuous acquisition period as the target processing area.

[0032] Furthermore, based on the process identification and processing area code, the process parameters of each processing area during the continuous acquisition period are retrieved from the real-time process status data frame and matched with the normal process range of the corresponding production process; it is determined one by one whether the process parameters at each acquisition time exceed the normal process range, the direction of exceeding the limit, the magnitude of exceeding the limit and the number of consecutive exceeding the limit are recorded, and instantaneous fluctuations that exceed the limit only at a single acquisition time and subsequently return to normal are eliminated.

[0033] When the process parameters of the same processing area exceed the normal process range in the same direction at multiple consecutive acquisition times, the corresponding processing area is marked as the target processing area, and the process parameters that exceed the normal process range are determined as deviation process parameters, and the corresponding deviation direction and deviation amount are written.

[0034] By following the process binding relationship corresponding to the target processing area, process parameters that can be adjusted online and have not reached the adjustment boundary are screened, and diagnostic parameters are determined based on the degree of correlation between each process parameter and the current deviation.

[0035] Furthermore, along the process binding relationship corresponding to the target processing area, the adjustable process parameters in each associated production process are retrieved sequentially, and each parameter is filtered according to the parameter control authority, current parameter value, and allowed adjustment range. Process parameters that can be written online through the process controller, whose current parameter value is between the upper and lower adjustment limits, and whose remaining adjustment amount meets the perturbation requirements are retained, while process parameters that can only be adjusted during shutdown, have reached the adjustment boundary, or are restricted by equipment protection conditions are eliminated, forming a set of candidate diagnostic parameters.

[0036] Historical change records of each candidate process parameter and deviation change records corresponding to the target processing area are extracted from the real-time process status data frame. The parameter changes and deviation changes are aligned according to the acquisition time. The direction of deviation change, response time and change amplitude when the candidate process parameter increases or decreases are recorded respectively. Candidate process parameters that can cause stable deviation response under multiple parameter changes are retained and arranged according to the stability of response direction, response delay and response amplitude. Process parameters with stable response direction, short response delay and obvious deviation change are determined as diagnostic parameters.

[0037] Keeping other process parameters constant, apply parameter increments with the same amplitude but opposite directions to the diagnostic parameters in adjacent short-time diagnostic cycles, and record the changes in process parameters of the target processing area and related production processes under the two disturbance directions.

[0038] Furthermore, other adjustable process parameters besides diagnostic parameters are locked to maintain their current settings, and the baseline values ​​of the diagnostic parameters before the perturbation are recorded. During the first short diagnostic cycle, the diagnostic parameters are increased from the baseline values ​​by a preset parameter increment, and during the increment holding period, the process parameter values, acquisition times, and change directions of the target processing area and each related production process are continuously recorded at a uniform acquisition interval.

[0039] After the first short-term diagnostic cycle ends, the diagnostic parameters are restored to the baseline value. Once the corresponding process parameters return to the stable range before the perturbation, the diagnostic parameters are reduced by the same parameter increment from the baseline value in the adjacent second short-term diagnostic cycle. The process parameter values ​​of the target processing area and each related production process are recorded according to the same acquisition interval and duration as the first short-term diagnostic cycle. The parameter changes under the two perturbation directions are written into the forward perturbation response record and the reverse perturbation response record, respectively.

[0040] It should be noted that the short-term diagnostic cycle is the time interval during which the diagnostic parameters are incremented and the process response can be collected; the parameter increment is preset according to the remaining adjustment range of the diagnostic parameters and the allowable fluctuation range of the production equipment, so as to avoid the impact of micro-disturbances on the normal processing of the battery box.

[0041] The process parameter changes collected under the two perturbation directions are time-aligned. Process responses that show opposite trends with the positive and negative perturbations of the diagnostic parameters are retained, while process fluctuations that do not change with the perturbation direction or exceed the response period are removed.

[0042] Furthermore, the application times of the forward and reverse perturbations were used as the starting points, and the process parameters under the two perturbation directions were recorded at the same acquisition interval. For records with inconsistent acquisition times, the parameter value with the smallest time difference was selected and mapped to the same acquisition position. The stable parameter value before the perturbation was applied was used as the benchmark to determine the parameter change direction and change amplitude corresponding to each acquisition position.

[0043] The changes of two parameters at the same acquisition location are compared item by item. When the process parameter increases under positive perturbation and decreases under negative perturbation, or decreases under positive perturbation and increases under negative perturbation, the corresponding parameter change is retained as the process response. When the parameter changes under the two perturbation directions are in the same direction, the parameter value does not change stably, or the parameter change occurs outside the preset response period, the corresponding process fluctuation is removed to form a valid process response record.

[0044] The production processes are sorted according to the time of occurrence of the process response. The response of each production process is compared and traced step by step along the process binding relationship corresponding to the target processing area. Instantaneous fluctuations that only occur at a single collection time are excluded. The production process that first generates a continuous and stable response is determined as the first response process. The first response process is bound to the corresponding diagnostic parameters to determine the source of the anomaly.

[0045] Furthermore, using the moment when the diagnostic parameters begin to be perturbed as the starting point for response timing, the acquisition moment before the first deviation from the stable value before the perturbation is extracted from the effective process response records of each production process, and the response direction, response amplitude, and number of continuous acquisitions are determined. The production processes are arranged from earliest to latest according to the moment of the first deviation. When multiple production processes generate responses at the same acquisition moment, the production processes with more consecutive responses and smaller changes in response amplitude are prioritized. Along the process binding relationship corresponding to the target processing area, the response transmission process is checked step by step from the production process where the diagnostic parameters are located to the associated production processes. It is determined whether the response moment of the later production process is later than that of the previous production process, and whether the response changes under positive and negative perturbations correspond to each other. Process fluctuations that only occur at a single acquisition moment, recover to the original level at adjacent acquisition moments, or whose response sequence does not conform to the process binding relationship are eliminated. Process responses that maintain the same direction of change for multiple consecutive acquisition moments and show opposite trends under the two perturbation directions are retained. The production process that meets the conditions earliest in the sorting is determined as the first response process.

[0046] The deviation change records of the target processing area before and after the anomaly are retrieved from the real-time process status data frame. The actual deviation direction, the order of deviation occurrence of each production process, and the deviation amplitude ratio are extracted and compared with the response direction, response order, and response amplitude ratio generated by the bidirectional perturbation of the diagnostic parameters. When the actual deviation direction corresponds to the perturbation response direction, the deviation occurrence order is consistent with the response order, and the difference in amplitude ratio does not exceed the matching threshold, the binding relationship between the first response process and the diagnostic parameters is retained, and the first response process, diagnostic parameters, response direction, and first response time are written into the anomaly source record. When the matching conditions are not met, the current binding relationship is released, and the next production process is selected according to the response order to re-execute the matching to determine the anomaly source.

[0047] It should be noted that the matching threshold is set based on the allowable difference between the proportion of actual deviation amplitude in historical anomaly records and the proportion of bidirectional perturbation response amplitude, combined with the resolution of the detection equipment.

[0048] Based on the time sequence of the process responses generated in each production process, and according to the direction and magnitude of the response changes, the direction and degree of process influence are determined, and the process causal relationship is formed.

[0049] Furthermore, the corresponding production processes are arranged according to the order in which each production process generates an effective process response, and the response records of adjacent production processes are established in sequence to establish a correspondence. The response change directions of adjacent production processes under positive perturbation and negative perturbation are compared respectively. When the parameter change directions of the preceding and following production processes are consistent, the process influence direction between them is determined to be in the same direction. When the parameter change directions of the preceding and following production processes are opposite, the process influence direction is determined to be in the opposite direction.

[0050] Extract the response amplitude of each production process relative to the stable value before the perturbation under two perturbation directions, and determine the degree of process influence by combining the magnitude of the response amplitude and the corresponding stability under the two perturbation directions; The expression for determining the effective process influence coefficient is as follows: in, The effective process influence coefficient of the diagnostic parameters on the process parameters of the target processing area is determined based on the bidirectional perturbation amplitude corresponding to the diagnostic parameters and the corresponding process response changes under positive and negative perturbations. This represents the amplitude of the unidirectional perturbation applied to the diagnostic parameters; This represents the signed change of the target process parameter relative to its steady-state value under positive perturbation; This represents the signed change in the process response relative to the steady-state value corresponding to the reverse perturbation. This represents the minimum resolvable variation in the target process parameter, and is set according to the resolution of the detection equipment.

[0051] The diagnostic parameters, the first response process, the response sequence of each production process, the direction of process influence, and the degree of process influence are sequentially linked to form a process causal relationship.

[0052] It should be noted that process causality is the correspondence between changes in diagnostic parameters and changes in the responses of each production process. It is used to characterize the source of anomalies, the sequence of process responses, the direction of process influence, and the degree of process influence.

[0053] S3. By integrating the process causal relationship and real-time process status data frames, the process parameter deviation of the target processing area is transmitted to the production process. Based on the process correction boundary of the production process, a process correction reachable domain is constructed. Based on the process correction reachable domain, the cross-process relay correction method is determined, forming a cross-station correction control constraint, and the abnormal state of battery box production is obtained.

[0054] Extract the direction, degree, and response sequence of the process influence between the target processing area and each production process from the process causal relationship, and retrieve the process parameter deviation corresponding to the target processing area from the real-time process status data frame.

[0055] Furthermore, using the processing area code of the target processing area as the matching identifier, the production processes connected to the target processing area are found from the process causal relationship, and the process influence direction, process influence degree, first response time and response sequence of the corresponding production processes are extracted respectively; the production processes are arranged according to the response sequence, the same-direction influence and the opposite-direction influence are marked respectively, and the process influence degree is written into the corresponding production process to form an influence transmission record between the target processing area and each production process.

[0056] Based on the processing area code and deviation process parameter identifier of the target processing area, the latest process parameter value, normal process range, and parameter change records during the continuous acquisition period are retrieved from the real-time process status data frame. When the latest process parameter value is higher than the upper limit of the normal process range, the difference between the two is recorded as a positive process parameter deviation. When the latest process parameter value is lower than the lower limit of the normal process range, the difference between the two is recorded as a negative process parameter deviation. The deviation process parameter, deviation direction, and deviation amount are written into the influence transmission record.

[0057] It should be noted that the normal process range is set based on the process standards of the corresponding production process, the allowable parameter range of the equipment, and historical qualified processing data.

[0058] Based on the direction and degree of process influence, the process parameter deviations of the target processing area are mapped to the corresponding production processes. The deviations to be corrected for each production process are determined, and a process deviation transmission record is generated. The current state and process correction boundary of the adjustable process parameters in each production process are retrieved according to the process deviation transmission record. The allowable adjustment direction of the process parameters is matched with the compensation direction of the deviations to be corrected. The process parameters that can reduce the deviations to be corrected and have not reached the process correction boundary are retained, and the correction direction and remaining correction capacity of the corresponding production processes are determined.

[0059] Furthermore, the process influence direction and degree of each production process are read sequentially according to the response order. When the process influence direction is in the same direction, the deviation direction of the target processing area remains unchanged. When the process influence direction is in the opposite direction, the deviation direction is reversed. The deviation to be corrected for each production process is determined based on the deviation amount of the target processing area and the corresponding process influence degree. The production process identifier, response order, deviation direction to be corrected, and deviation amount to be corrected are written into the process deviation transmission record.

[0060] Based on the process deviation transmission record, retrieve the current value, upper limit, lower limit, and direction of influence of the adjustable process parameters in each production process, and determine the direction of parameter change that can reduce the deviation to be corrected as the compensation direction; when increasing the process parameter can reduce the deviation to be corrected, the upward adjustment is determined as the correction direction, and when decreasing the process parameter can reduce the deviation to be corrected, the downward adjustment is determined as the correction direction; process parameters whose direction of change cannot compensate for the deviation to be corrected, whose current value has reached the corresponding adjustment boundary, and whose remaining adjustment amount is insufficient are eliminated; for the retained process parameters, when adjusting upward, the difference between the upper limit and the current value is used as the remaining correction capacity, and when adjusting downward, the difference between the current value and the lower limit is used as the remaining correction capacity, and the correction direction and remaining correction capacity are written into the corresponding production process.

[0061] It should be noted that the degree of process influence is determined based on the response amplitude and stability of the corresponding production process under bidirectional perturbation; the process correction boundary is set according to the production process specifications, the allowable adjustment range of the equipment, and the qualified processing requirements.

[0062] Based on the degree of process influence corresponding to each adjustable process parameter, the remaining correction capacity is converted into the compensable deviation amount for the process parameter deviation of the target processing area; the compensable deviation amounts of each adjustable process parameter in the same production process are superimposed according to the compensation direction to determine the correctable range of the corresponding production process, and the correctable range is bound to the production process identifier to construct the process correction reachable domain.

[0063] Furthermore, the correction direction, remaining correction capacity, and degree of process influence of each adjustable process parameter are retrieved sequentially. Based on the deviation change corresponding to the unit parameter adjustment amount represented by the degree of process influence, the remaining correction capacity is converted into the compensable deviation amount corresponding to the target processing area. When adjusting the process parameter along the correction direction can reduce the deviation, the conversion result is written into the corresponding compensation direction. Conversion results that cannot reduce the deviation are not retained.

[0064] The compensable deviations in the same production process are collected according to the production process identifier, and then classified into a positive compensation set and a reverse compensation set according to the compensation direction. The compensable deviations of each process parameter in the same compensation set are added together to obtain the maximum compensable amount of the corresponding production process in the two compensation directions, and the correctable range of the corresponding production process is defined by the two maximum compensable amounts. The correspondence between the production process identifier, the correctable range, the correction direction of each adjustable process parameter and the compensable deviation amount is established, and written in sequence according to the response order of the production process to construct the process correction reachable domain.

[0065] It should be noted that the correctable range refers to the range of deviations that can be compensated for in the corresponding production process without exceeding the process correction boundary.

[0066] The deviation to be corrected corresponding to the target processing area is compared with the process correction reachable domain of each production process. Production processes with correction direction consistent with deviation compensation direction and remaining correction capacity are retained and arranged according to the response order in the process influence relationship to generate candidate relay correction paths.

[0067] Furthermore, the direction and amount of deviation to be corrected are extracted from the deviation record corresponding to the target processing area, and the correction direction, correctable interval and remaining correction capacity in the process correction reachable domain are retrieved item by item according to the production process identifier; when the correction direction of the production process is opposite to the compensation direction required for the deviation to be corrected, or the remaining correction capacity in the corresponding direction is zero, the corresponding production process is eliminated.

[0068] For the retained production processes, the deviation to be corrected is compared with the correctable range in the corresponding compensation direction. When the deviation to be corrected falls into the correctable range, the correction amount that the corresponding production process can independently bear is recorded. When the deviation to be corrected exceeds the correctable range, the boundary value of the correctable range is used as the maximum correction amount that the corresponding production process can bear. The uncompensated deviation amount after deducting the maximum correction amount is marked as the remaining process deviation. The retained production processes are arranged according to the response sequence of each production process in the process causal relationship. The production process identifier, correction direction, achievable correction amount and response sequence are connected in sequence to generate candidate relay correction paths.

[0069] It should be noted that the retention condition for the production process is that the correction direction can reduce the deviation to be corrected, and the remaining correction capacity in the corresponding compensation direction is greater than zero.

[0070] The deviations to be corrected are sequentially assigned along the candidate relay correction path. The corresponding correction amount is determined within the correctable range of the current production process. The deviation amount that the current production process can compensate for is deducted from the deviations to be corrected, and the remaining process deviations are assigned to the next production process to determine the cross-process relay correction method.

[0071] Furthermore, according to the order of the candidate relay correction paths, the deviation to be corrected is handed over to the first production process; the correctable range of the first production process in the corresponding compensation direction is read; when the amount of the deviation to be corrected does not exceed the maximum compensable amount, the amount of the deviation to be corrected is determined as the correction amount of the first production process; when the amount of the deviation to be corrected exceeds the maximum compensable amount, the maximum compensable amount is determined as the correction amount of the first production process.

[0072] The expression for the expected remaining process deviation is as follows: in, This indicates the expected remaining process deviation after the current candidate correction process is completed; This indicates the remaining process deviation before the current candidate correction process is executed; This represents the equipment execution fulfillment coefficient, which is determined based on the average ratio of the actual compensation deviation of recent correction tasks to the allocated correction amount, and its value ranges from zero to one. This indicates the number of process parameters that can participate in deviation compensation in the current candidate correction process; Indicates the sequence number of the adjustable process parameters; Indicates the first The orientation matching flag for each process parameter is set to 1 if it can reduce the deviation, and 0 if it cannot reduce the deviation. Indicates the first The effective process influence coefficient corresponding to each process parameter; Indicates the first The remaining correction capacity of each process parameter along the correction direction. The remaining process deviation is obtained by subtracting the correction amount undertaken by the first production process from the deviation to be corrected. Allocation to subsequent processes stops when the remaining process deviation is zero; if the remaining process deviation is not zero, the remaining process deviation is assigned to the next production process, and the corresponding correction amount is determined according to the correctable range of the next production process. This allocation is repeated until the remaining process deviation is completely covered, or all production processes in the candidate relay correction path have been allocated. Based on the arrangement of each production process, the corresponding correction direction, allocated correction amount, and corrected remaining process deviation are determined. The completion of the corresponding correction amount by the current production process is used as a prerequisite for the next production process to take over the remaining process deviation, thus determining the cross-process relay correction method.

[0073] The execution order of each production process is determined according to the candidate relay correction path, and the remaining process deviation after the current production process is executed is used as the starting condition for the next production process, forming a cross-station correction control constraint. The correctable amount of each production process is accumulated according to the execution order and compared with the deviation to be corrected. When the accumulated correctable amount can cover the deviation to be corrected, a relay correction mark and the corresponding candidate relay correction path are written. When the accumulated correctable amount cannot cover the deviation to be corrected, an uncompensated deviation and a paused flow mark are written, generating an abnormal state of battery box production.

[0074] Furthermore, according to the arrangement position in the candidate relay correction path, each production process is assigned an execution sequence number, the first production process is set to the executable state, and the remaining production processes are set to the waiting state. After the current production process completes the allocated correction amount, the remaining process deviation is determined based on the equipment execution feedback. If the remaining process deviation is not eliminated, the waiting state of the next production process is released and the remaining process deviation is transmitted. If the remaining process deviation has been eliminated, the waiting state of the subsequent production processes is maintained and the relay correction is terminated. This restricts each production process from compensating for the same process deviation in advance, in parallel, or repeatedly, forming a cross-station correction control constraint.

[0075] According to the execution order of the candidate relay correction path, the correctable amount of each production process in the deviation compensation direction is accumulated sequentially, and the result of each accumulation is compared with the deviation to be corrected. When the accumulated correctable amount reaches or exceeds the deviation to be corrected, it is determined that the candidate relay correction path can cover the deviation to be corrected, and the relay correction mark, the execution sequence number of each production process and the allocated correction amount are written. When the accumulated correctable amount of all production processes in the candidate relay correction path is still less than the deviation to be corrected, the difference between the deviation to be corrected and the accumulated correctable amount is taken as the uncompensated deviation, and a pause flow mark is written. The target processing area, the deviation to be corrected, the candidate relay correction path, the relay correction mark or the pause flow mark are correspondingly packaged to generate the battery box production abnormal state.

[0076] It should be noted that the abnormal state of battery box production is a comprehensive record of process deviations and their follow-up correction conditions. It is used to determine whether the deviation can be compensated by subsequent production processes and whether it is necessary to suspend the process. The elimination conditions for the remaining process deviations are set according to the qualified allowable deviation range of the corresponding process parameters. When the cumulative correctable amount is not less than the amount of deviation to be corrected, it is determined that it can cover the deviation to be corrected.

[0077] S4. Based on the abnormal state of battery box production, determine the candidate correction process and correction sequence, send a correction task token to the first candidate correction process, and restrict other candidate correction processes from performing the same compensation direction adjustment for the deviation to be corrected in the same target processing area; according to the equipment execution feedback, transfer the remaining process deviation to the next candidate correction process along with the correction task token, control the battery box to suspend the flow when there is no backup correction capacity, and generate battery box production process control information.

[0078] Retrieve abnormal correction information from the abnormal state of battery box production, match the correction direction and remaining correction capacity of each production process with the deviation to be corrected, and retain the production process that can compensate for the deviation to be corrected.

[0079] Furthermore, the target processing area, process parameters to be corrected, deviation direction to be corrected, deviation amount to be corrected, candidate relay correction paths, and correction directions and remaining correction capacity corresponding to each production process in the path are extracted from the abnormal state of battery box production. When the process parameters to be corrected are higher than the normal process range, the deviation parameters will be reduced as the compensation direction. When the process parameters to be corrected are lower than the normal process range, the deviation parameters will be increased as the compensation direction.

[0080] The correction direction of each production process is checked item by item according to the candidate relay correction path. Production processes whose correction direction is consistent with the deviation compensation direction are retained. The remaining correction capacity is converted into a compensable amount that can be applied to the deviation to be corrected according to the degree of influence of the corresponding process. When the compensable amount is greater than zero, the production process identifier, correction direction, compensable amount and path position are written into the candidate correction record. When the correction direction is inconsistent with the compensation direction or the remaining correction capacity is zero, the corresponding production process is eliminated to obtain the production process that can compensate for the deviation to be corrected.

[0081] It should be noted that the abnormal correction association information includes the target processing area, the process parameter to be corrected, the deviation direction, the deviation amount, the candidate relay correction path, and the correction capability information of each production process; the deviation compensation direction is determined based on the direction of the process parameter to be corrected exceeding the normal process range.

[0082] The remaining production processes are arranged according to the response order in the candidate relay correction path, and the corresponding correction tasks are assigned in sequence based on the correctable amount of each production process to determine the candidate correction processes and correction order.

[0083] Furthermore, the remaining production processes are arranged according to the order of responses recorded in the candidate relay correction path, and the deviation to be corrected is used as the initial allocation amount; the correctable amount of the first production process is read, and when the correctable amount is less than the initial allocation amount, all correctable amounts are allocated to the first production process, and the allocation amount is updated with the difference between the two; when the correctable amount is not less than the initial allocation amount, the initial allocation amount is allocated to the first production process, and the allocation amount is updated to zero.

[0084] When the quantity to be allocated is not zero, read the correctable quantity of the next production process according to the response order, determine the corresponding correction task and update the quantity to be allocated in the same way until all the deviations to be corrected are allocated, or all the remaining production processes have completed the task allocation; determine the production process that actually undertakes the correction task as the candidate correction process, and determine the correction order according to the order in which each candidate correction process undertakes the correction task, and write the corresponding correction direction, the allocated correction quantity and the remaining deviation after correction.

[0085] The target processing area, the deviation to be corrected, and the corresponding compensation direction are bound as the correction object. A correction task token is sent to the first candidate correction process, and the other candidate correction processes are set to a waiting state. The adjustment instructions in the same direction issued by other candidate correction processes for the same correction object are intercepted.

[0086] Furthermore, the target processing area code, the identifier of the process parameter to be corrected, the deviation direction, the deviation amount, and the compensation direction are written into the same correction record, and a unique correction object identifier is configured for the correction record. According to the candidate correction order, the identifier of the first candidate correction process, the allocated correction amount, the correction direction, and the correction object identifier are written into the correction task token, and the correction task token is sent to the first candidate correction process. After receiving the correction task token, the first candidate correction process obtains the parameter adjustment permission for the corresponding correction object. The remaining candidate correction processes retain the corresponding correction task and correction order, but write the task status as waiting, and do not obtain the corresponding process parameter adjustment permission for the time being.

[0087] When a candidate correction process in the waiting state issues an adjustment instruction, the target processing area, the process parameter to be corrected, and the adjustment direction in the adjustment instruction are compared with the correction object item by item. If the target processing area and the process parameter to be corrected are the same, the adjustment direction is consistent with the compensation direction, and the adjustment instruction does not carry a valid correction task token, the corresponding adjustment instruction is intercepted and the waiting state is maintained. Adjustment instructions for other processing areas, other process parameters, and different compensation directions are not included in the scope of this interception.

[0088] It should be noted that a valid correction task token refers to a task credential where the correction object identifier, the current candidate correction procedure identifier, and the token holding status all match; the interception conditions for adjustment instructions in the same direction are jointly set based on the correction object identifier, the adjustment direction, and the token holding status.

[0089] Receive equipment execution feedback from the current candidate correction process, extract the actual process parameter adjustment amount from the equipment execution feedback, and convert the actual process parameter adjustment amount into the actual compensation deviation amount according to the corresponding process influence relationship; compare the actual compensation deviation amount with the allocated correction amount, deduct the actual compensation deviation amount from the remaining process deviation before correction, and update the remaining process deviation.

[0090] Furthermore, the system receives equipment execution feedback from the current candidate correction process and matches it with the corresponding correction task token based on the production process identifier and the correction object identifier. It extracts the pre-adjustment value, post-adjustment value, and actual adjustment direction of the process parameters from the equipment execution feedback. The difference between the post-adjustment value and the pre-adjustment value determines the actual process parameter adjustment amount, and it verifies whether the actual adjustment direction is consistent with the correction direction in the correction task token. It retrieves the process influence direction and degree of influence between the corresponding process parameters and the deviation of the target processing area from the process causal relationship. Based on the process influence direction, it determines the compensation direction for the deviation of the target processing area based on the actual adjustment, and converts the actual process parameter adjustment amount into the actual compensation deviation amount based on the deviation change corresponding to the unit parameter adjustment amount represented by the degree of process influence.

[0091] When the actual adjustment direction cannot reduce the deviation, the actual compensation deviation is recorded as zero; the actual compensation deviation is compared with the correction amount allocated to the current candidate correction process to determine the completed correction amount and the incomplete correction amount; the actual compensation deviation is deducted from the remaining process deviation before correction. If the deduction result is greater than zero, the difference is written as the updated remaining process deviation. If the deduction result is not greater than zero, the remaining process deviation is updated to zero and written to the deviation elimination mark.

[0092] It should be noted that the equipment execution feedback is returned by the corresponding production equipment or process controller after the parameter adjustment is completed; the conversion rule for the actual compensation deviation is set according to the process influence direction and process influence degree determined by the bidirectional perturbation.

[0093] If the remaining process deviations after the update are not eliminated, verify the remaining correction capacity of the next candidate correction process, transfer the remaining process deviations and correction task tokens to the next candidate correction process that meets the correction requirements, and remove the adjustment permissions of the current candidate correction process for the corresponding correction object.

[0094] Furthermore, when the updated remaining process deviation is greater than the deviation elimination threshold, the production process following the current candidate correction process is searched according to the candidate correction order, and the correction direction, remaining correction capacity, and equipment status of the next candidate correction process are retrieved. If the correction direction can reduce the remaining process deviation, the remaining correction capacity is greater than zero, and the equipment is in an adjustable state, the next candidate correction process is determined as the task acceptance process; otherwise, the search for subsequent candidate correction processes continues.

[0095] The amount of correction that can be undertaken is determined based on the remaining correction capacity of the task-accepting process. The remaining process deviation, compensation direction, amount of correction that can be undertaken, and the identification of the correction object are written into the correction task token, and the token-holding process is updated to the task-accepting process. After the task-accepting process confirms acceptance, the token status of the current candidate correction process is changed to invalid, the adjustment permission for the corresponding correction object is revoked, and the task-accepting process is switched from the waiting state to the executable state.

[0096] It should be noted that the deviation elimination threshold is set according to the acceptable deviation range of the corresponding process parameters; the conditions for accepting the next candidate correction process are that the correction direction is matched, the remaining correction capacity is greater than zero, and the equipment allows online adjustment.

[0097] When the remaining process deviation is eliminated, the transfer of the correction task token ends and the battery box flow resumes. When there are no candidate correction processes that can continue to compensate for the remaining process deviation, the transfer of the correction task token stops and a pause control command is sent to the battery box flow equipment. The execution feedback and remaining process deviation of each candidate correction process are collected to generate battery box production process control information.

[0098] Furthermore, when the updated remaining process deviation is no greater than the deviation elimination threshold, the status of the correction task token is written as completed, the transmission of correction task tokens to subsequent candidate correction processes is stopped, the temporary adjustment permissions of each candidate correction process for the correction object are revoked, and a recovery control command is sent to the battery box transfer equipment so that the battery box enters the next production process according to the original production rhythm.

[0099] When the updated remaining process deviation exceeds the deviation elimination threshold, the correction direction, remaining correction capacity, and equipment status of subsequent production processes are verified item by item along the candidate correction order. If no production process with a matching correction direction, a remaining correction capacity greater than zero, and equipment adjustment is allowed is found, the correction task token status is set to terminate, and a pause control command is sent to the battery box transfer equipment. The allocated correction amount, actual process parameter adjustment amount, actual compensation deviation amount, execution status, and execution time of each candidate correction process are collected according to the transfer order of the correction task tokens. Simultaneously, the final remaining process deviation, battery box transfer status, and correction task results are written to generate battery box production process control information.

[0100] This embodiment also provides a computer device applicable to the battery box production control method based on process parameters, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the battery box production control method based on process parameters as proposed in the above embodiment.

[0101] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0102] This embodiment also provides a storage medium storing a computer program. When executed by a processor, the program implements the battery box production control method based on process parameters as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0103] In summary, this invention, by: transmitting process parameter deviations of the target processing area to each production process based on process causal relationships, and constructing a process correction reachable domain in conjunction with process correction boundaries, can clearly define the compensation direction, correctable range, and remaining correction capacity of each process. Furthermore, it allocates correction tasks along candidate relay correction paths and constrains the execution order with correction task tokens, allowing remaining process deviations to be transferred step-by-step with equipment execution feedback. This provides continuous and traceable cross-process correction basis for battery box production process control, achieving the effect of avoiding repeated adjustments and improving the ability to eliminate deviations through closed-loop mechanisms.

[0104] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for battery box production control based on process parameters, characterized in that, include: Data is collected for each production process according to the battery box production identification, and the collected process parameters are sorted in sequence, bound to the process and coded for the processing area to generate real-time process status data frames. Based on real-time process status data frames, target processing areas with process parameter deviations are identified. Diagnostic parameters are determined from adjustable process parameters and short-term bidirectional micro-perturbations are applied. The source of the anomaly and its process influence relationship with the production process are determined based on the corresponding process response, thus obtaining the process causal relationship. By integrating process causal relationships and real-time process status data frames, the process parameter deviation of the target processing area is transmitted to the production process. Based on the process correction boundary of the production process, a process correction reachable domain is constructed. Based on the process correction reachable domain, the cross-process relay correction method is determined, forming a cross-station correction control constraint, and the abnormal state of battery box production is obtained. Based on the abnormal state of battery box production, candidate correction processes and correction order are determined. A correction task token is sent to the first candidate correction process, and other candidate correction processes are restricted from performing the same compensation direction adjustment for the deviation to be corrected in the same target processing area. Based on the equipment execution feedback, the remaining process deviations are transferred to the next candidate correction process along with the correction task token. When there is no backup correction capacity, the battery box is controlled to suspend the flow and generate battery box production process control information.

2. The battery box production control method based on process parameters as described in claim 1, characterized in that, The process involves collecting data for each production step according to the battery box production identifier, and then performing time-series processing, step binding, and processing area coding on the collected process parameters to generate real-time process status data frames. The specific steps are as follows: Using the battery box production identifier as the retrieval index, the corresponding process parameters are collected from each workstation according to the production process sequence, and the collection time, process identifier and processing area code are written for each group of process parameters. The process parameters are arranged according to the time of acquisition. Based on the process identification and processing area code, the process parameters belonging to the same production process and the same processing area are merged into the corresponding data positions and encapsulated in sequence to form a real-time process status data frame.

3. The battery box production control method based on process parameters as described in claim 2, characterized in that, The process involves identifying target processing areas with process parameter deviations based on real-time process status data frames, determining diagnostic parameters from adjustable process parameters, and applying short-term bidirectional micro-perturbations. The specific steps are as follows: Extract the corresponding process parameters from the real-time process status data frame, compare each process parameter with the normal process range of the corresponding process, and mark the processing area that exceeds the normal process range and maintains the deviation during the continuous acquisition period as the target processing area. Based on the process binding relationship corresponding to the target processing area, screen the process parameters that can be adjusted online and have not reached the adjustment boundary, and determine the diagnostic parameters according to the degree of response correlation between each process parameter and the current deviation; Keeping other process parameters constant, apply parameter increments with the same amplitude but opposite directions to the diagnostic parameters in adjacent short-time diagnostic cycles, and record the changes in process parameters of the target processing area and related production processes under the two disturbance directions.

4. The battery box production control method based on process parameters as described in claim 3, characterized in that, The specific steps for determining the source of the anomaly and its process impact relationship with the production process based on the corresponding process response to obtain the process causal relationship are as follows: The process parameter changes collected under the two perturbation directions are time-aligned. Process responses that show opposite trends with the positive and negative perturbations of the diagnostic parameters are retained, while process fluctuations that do not change with the perturbation direction or exceed the response period are removed. The production processes are sorted according to the time of occurrence of the process response. The response of each production process is compared and traced step by step along the process binding relationship corresponding to the target processing area. Instantaneous fluctuations that only occur at a single collection time are excluded, and the production process that first generates a continuous and stable response is determined as the first response process. The first response procedure is linked to the corresponding diagnostic parameters to determine the source of the anomaly; Based on the time sequence of the process responses generated in each production process, and according to the direction and magnitude of the response changes, the direction and degree of process influence are determined, and the process causal relationship is formed.

5. The battery box production control method based on process parameters as described in claim 4, characterized in that, The fusion of process causal relationships and real-time process status data frames transmits the process parameter deviations of the target processing area to the production process, and constructs a process correction reachable domain based on the process correction boundary of the production process. The specific steps are as follows: Extract the direction, degree, and response sequence of the process influence between the target processing area and each production process from the process causal relationship, and retrieve the process parameter deviation corresponding to the target processing area from the real-time process status data frame; Based on the direction and degree of process influence, the process parameter deviations of the target processing area are mapped to the corresponding production processes. The deviations to be corrected for each production process are determined, and a process deviation transmission record is generated. The current status and process correction boundaries of the adjustable process parameters in each production process are retrieved according to the process deviation transmission record, and the allowable adjustment direction of the process parameters is matched with the compensation direction of the deviations to be corrected. Retain process parameters that can reduce the deviation to be corrected and have not reached the process correction boundary, and determine the correction direction and remaining correction capacity for the corresponding production process. Based on the degree of process influence corresponding to each adjustable process parameter, the remaining correction capacity is converted into the compensable deviation amount for the process parameter deviation of the target processing area; the compensable deviation amounts of each adjustable process parameter in the same production process are superimposed according to the compensation direction to determine the correctable range of the corresponding production process, and the correctable range is bound to the production process identifier to construct the process correction reachable domain.

6. The battery box production control method based on process parameters as described in claim 5, characterized in that, The method of determining the cross-process relay correction method based on the process correction reachability domain, forming cross-station correction control constraints, and obtaining the abnormal state of battery box production are as follows: The deviation to be corrected corresponding to the target processing area is compared with the process correction reachable domain of each production process. Production processes with correction direction consistent with deviation compensation direction and remaining correction capacity are retained and arranged according to the response order in the process influence relationship to generate candidate relay correction paths. The deviations to be corrected are sequentially allocated along the candidate relay correction path. The corresponding correction amount is determined within the correctable range of the current production process. The deviation that the current production process can compensate for is deducted from the deviations to be corrected, and the remaining process deviations are allocated to the next production process to determine the cross-process relay correction method. The execution order of each production process is determined according to the candidate relay correction path, and the remaining process deviation after the current production process is executed is used as the starting condition for the next production process, forming a cross-station correction control constraint. The correctable amount of each production process is accumulated according to the execution order and compared with the deviation to be corrected. When the accumulated correctable amount can cover the deviation to be corrected, a relay correction mark and the corresponding candidate relay correction path are written. When the accumulated correctable amount cannot cover the deviation to be corrected, an uncompensated deviation and a paused flow mark are written, generating an abnormal state of battery box production.

7. The battery box production control method based on process parameters as described in claim 6, characterized in that, The process involves determining candidate correction processes and their order based on abnormal battery box production conditions, sending a correction task token to the first candidate correction process, and restricting other candidate correction processes from performing adjustments in the same compensation direction for the deviation to be corrected in the same target processing area. The specific steps are as follows: Retrieve abnormal correction information from abnormal battery box production status, match the correction direction and remaining correction capacity of each production process with the deviation to be corrected, and retain the production process that can compensate for the deviation to be corrected. The remaining production processes are arranged according to the response order in the candidate relay correction path, and the corresponding correction tasks are assigned in sequence according to the correctable amount of each production process to determine the candidate correction processes and correction order. The target processing area, the deviation to be corrected, and the corresponding compensation direction are bound as the correction object. A correction task token is sent to the first candidate correction process, and the other candidate correction processes are set to a waiting state. The adjustment instructions in the same direction issued by other candidate correction processes for the same correction object are intercepted.

8. The battery box production control method based on process parameters as described in claim 7, characterized in that, Based on equipment execution feedback, the remaining process deviations are transferred to the next candidate correction process along with the correction task token. When there is no backup correction capacity, the battery box is controlled to pause its flow, generating battery box production process control information. The specific steps are as follows: Receive the equipment execution feedback returned by the current candidate correction process, extract the actual process parameter adjustment amount from the equipment execution feedback, and convert the actual process parameter adjustment amount into the actual compensation deviation amount according to the corresponding process influence relationship; compare the actual compensation deviation amount with the allocated correction amount, and deduct the actual compensation deviation amount from the remaining process deviation before correction, and update the remaining process deviation. If the remaining process deviation is not eliminated after the update, verify the remaining correction capacity of the next candidate correction process, transfer the remaining process deviation and correction task token to the next candidate correction process that meets the correction requirements, and remove the current candidate correction process's adjustment permission for the corresponding correction object. When the remaining process deviation is eliminated, the transfer of the correction task token ends and the battery box flow resumes. When there are no candidate correction processes that can continue to compensate for the remaining process deviation, the transfer of the correction task token stops and a pause control command is sent to the battery box flow equipment. The execution feedback and remaining process deviation of each candidate correction process are collected to generate battery box production process control information.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the battery box production control method based on process parameters as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the battery box production control method based on process parameters as described in any one of claims 1 to 8.

Images