CN117670144A - Energy storage box production management system and method based on neural network synchronization - Google Patents
Energy storage box production management system and method based on neural network synchronization Download PDFInfo
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Abstract
The invention discloses an energy storage box production management system and method based on neural network synchronization, and belongs to the technical field of production scheduling. The system comprises a data acquisition module, a production analysis module, a productivity adjustment module and a visualization module; the data acquisition module is used for acquiring information of each production line and information of each part in the production area, and a production plan and a production log; the production analysis module analyzes the total production speed of the production line and the damage rate of each part according to the acquired information and judges whether the production plan can be finished in quantity on time according to the current production speed and the part stock quantity; the productivity adjusting module is used for adjusting the load degree of each production line to improve the total productivity or reduce the damage rate of parts, so that the production plan is smoothly executed, and early warning is given to staff when the inventory of the parts is insufficient and the damage rate cannot be improved by adjusting the damage rate, and the staff is used for processing; and the visual module displays the production information of each production line in real time through a visual large screen.
Description
Technical Field
The invention relates to the technical field of production scheduling, in particular to an energy storage box production management system and method based on neural network synchronization.
Background
An energy storage tank is a device for storing and releasing energy, typically for storing electrical, thermal or chemical energy. With the development of renewable energy sources and electric vehicles, energy storage technologies are attracting more and more attention, and research and production of energy storage boxes as important components of energy storage systems are becoming more and more important.
The processing and assembling of the energy storage box body usually need to use tens or even hundreds of parts, and the parts often cannot be used due to the aging of processing equipment or carelessness of workers in the assembling process of the parts on a production line, so that certain damage rate exists in the parts. The most effective way to solve the problems at the present stage is to reduce the production speed of the production line, slow down the production rhythm, and allow more time for machine rechecking and manual rechecking so as to reduce the number of damaged parts. This approach can effectively reduce the failure rate of the part, but still has some drawbacks. For example: 1. the use conditions and the facing environments of different production lines are different, and even if the same production speed is reduced, the damage rate reduction effect of the different production lines on the parts is different. 2. Reducing the production speed when the damage rate of the parts is too high may result in a reduction of the overall capacity, and thus the production task cannot be completed as planned. 3. The reduction of the damage rate of the parts can not be accurately regulated and controlled according to the stock quantity of each part and the influence degree of the production speed of each production line on the damage rate, and can not be flexibly regulated as required. Therefore, a technical solution capable of flexibly adjusting the capacity of each production line according to the stock quantity and the production plan is needed at the present stage to solve the above-mentioned problems.
Disclosure of Invention
The invention aims to provide an energy storage box production management system and method based on neural network synchronization, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an energy storage box production management method based on neural network synchronization comprises the following steps:
s1, acquiring production line information, part information, a production plan and a production log in a production area in real time;
s2, analyzing the overall productivity and the damage rate according to the acquired information, and judging whether the production plan can be completed on time and in quantity;
s3, adjusting the load degree of each production line to improve the productivity or reduce the damage rate so as to meet the execution of the production plan;
s4, early warning staff in time when the condition cannot be adjusted, and displaying production information of each production line through a visual large screen.
In S1, the production area refers to the working area for producing the energy storage tank. The line information refers to the label and production speed of each line in the production area. The parts refer to parts used to produce the energy storage tanks, and the part information includes identifiers and inventory. The production plan includes production tasks, each of which includes a production lot number, a delivery time, and a delivery quantity. The production log refers to machining records of all the energy storage boxes, each machined energy storage box corresponds to one machining record, the machining records comprise marks, production batch numbers, production speeds and damage information, and the damage information refers to damaged part information in the machining process and comprises identifiers and damage quantity.
And each energy storage box body is produced, one machining record is added, the number of damaged information pieces in the machining record is the same as the number of the types of damaged parts in the machining process, and only one piece of damaged information is recorded no matter how many parts of the same type are damaged.
Judging the damage of parts on the production line by adopting a neural network and recording damage information;
first, image data of normal or damaged parts on the production line is collected and it is ensured that the data set contains various types and degrees of damage so that the neural network can learn the characteristics in various situations. The collected image data is subjected to preprocessing operations such as size standardization, graying, denoising and the like, so that the neural network can better process the data.
Secondly, the image data are processed by constructing a convolutional neural network, a proper network structure and layer number are selected according to the scale and the complexity of a data set, the data set is divided into a training set and a testing set, a neural network model is trained by the training set, and the performance of the model is evaluated by the testing set. The neural network model is trained by using the training set, and model parameters are adjusted by a back propagation algorithm, so that the model parameters can better judge the normal and damage of the part. And evaluating the trained model by using the test set, and calculating indexes such as accuracy, recall rate and the like of the model to evaluate the performance of the model.
And finally, deploying the trained model on each production line, detecting and judging the parts in real time, finding out damaged parts in time, recording the number of damage, and generating damage information.
In S2, the specific steps are as follows:
s201, obtaining a production lot number Pd, delivery time and delivery number of a production task being executed in a production plan, retrieving the processing record number of the production lot number Pd in a production log as the number of produced boxes, subtracting the number of produced boxes from the delivery number to obtain the number of boxes to be produced, subtracting the current time from the delivery time to obtain the remaining delivery time, and dividing the number of boxes to be produced by the remaining delivery time to obtain the target production speed.
S202, summing the production speeds of all production lines in the production area to be used as a total production speed, judging whether the total production speed is greater than or equal to a target production speed, if so, not processing, and if not, otherwise, generating abnormal conditions.
If the current total production speed is greater than or equal to the target speed, the production task can be completed in time according to the quantity, otherwise, the production speed is required to be improved if the production task cannot be completed.
S203, obtaining processing records with the production lot number Pd in a production log, classifying the processing records according to the marks of production lines, dividing the processing records with the same marks into the same type, establishing a damage rate set for each production line, analyzing damage information of each processing record in the same type one by one, substituting the sum of the damage numbers of parts with the same identifier into a formula to calculate the damage rate of the parts, and putting the damage rate set into the damage rate set of the corresponding production line, wherein the formula is as follows:
In the method, in the process of the invention,refers to the total number of damages of the k parts identified by the identifier in the mth production line, j refers to the number of damaged information pieces of the k parts identified by the identifier in the mth production line, and +.>Is the number of defects in the ith defect information indicating a k-th part,refers to the damage rate of k parts marked as k in the mth production line, L m Refers to the number of processed record strips in the mth production line, f k The number of k parts is required for the production of each energy storage tank.
In the production process of the energy storage box body, the production speed of each production line can be regulated and controlled to a certain extent, the production speed is increased, errors are more likely to occur, and the damage rate of parts is increased, but because the establishment time and the use state of each production line are different, even the same production speed is adopted under different production lines, the damage rate of the same type of parts is not necessarily the same. Different damage rates exist in different production lines for the same type of parts, and the damage rates only represent the damage rates of the parts in the current production task.
The damage rate of parts can be further reduced by reducing the production speed of the production line, and the reduction degree of the damage rate of each part is different even if the production speed of the same unit is reduced in different production lines.
S204, dividing the number of the boxes to be produced by the total production speed to obtain estimated delivery time, multiplying the production speed of each production line by the estimated delivery time respectively, rounding up to obtain the estimated number of the boxes R of each production line, substituting the damage rate of each part in the damage rate set and the estimated number of the boxes of the corresponding production line into a damage rate formula together to calculate the estimated number of damage Q, summing the estimated number of damage Q of each part under each production line to obtain the estimated total number of damage, and corresponding one of the estimated total number of damage.
Because the energy storage box body needs a certain time to be produced, the estimated production box body number is usually larger than the box body number to be produced, and a certain redundant space can be provided for the quantity judgment and adjustment of subsequent parts by adopting the estimated damage total number obtained by calculating the estimated production box body number.
S205, summing the estimated production box numbers R of all production lines to obtain estimated production box total numbers, respectively obtaining the number of parts needed for producing each energy storage box, multiplying the estimated production box total numbers to obtain estimated use total numbers of each part, judging whether the sum of the estimated damage total numbers and the estimated use total numbers of each part is larger than or equal to the corresponding stock quantity of the parts, if so, not processing, and if not, entering S206.
S206, setting a minimum damage rate for each part, substituting the estimated total number of the parts and the corresponding minimum damage rate into a damage rate formula to calculate the minimum damage rate, judging whether the sum of the estimated total number of the parts and the minimum damage rate is larger than or equal to the corresponding stock quantity of the parts, if so, marking the corresponding parts as damage abnormality, and if not, marking the corresponding parts as stock abnormality.
The setting of the minimum damage rate is preset by staff according to actual conditions, and in actual production and processing, the damage rate cannot be reduced to a degree smaller than the minimum damage rate through automatic adjustment.
The specific steps in S3 are as follows:
s301, acquiring all processing records in a production log, classifying the processing records according to the marks of a production line, dividing the processing records with the same marks into the same class, analyzing damage information of each processing record in the same class one by one, bringing the damage quantity of each part in the damage information into a formula to calculate a damage influence index, wherein an identifier of each part in the same production line corresponds to one damage influence index; the formula is as follows:
in the method, in the process of the invention,the damage influence index of the k parts marked as the identifier in the mth production line is shown, u is the number of damage information pieces of the k parts containing the identifier in all processing records under the mth production line, and +. >Is the number of damages in the h damage information indicating the k-th part, +.>The h damage information of the part with the index identifier of k corresponds to the production speed of the processing record.
The damage impact index represents the change of the damage quantity of the corresponding parts and the relation between the damage quantity and the production speed when the production line is processed each time, and the smaller the damage impact index is, the smaller the damage quantity of the corresponding parts is affected by the production speed when the production line is processed each time.
S302, obtaining damage indexes after summing damage influence indexes of parts under the same production line, and sequentially placing the marks of the production line into a production line adjustment set according to the sequence from small to large of the damage indexes; and establishing a damage rate adjustment set for each part, and sequentially placing the marks of the production lines into the damage rate adjustment set according to the damage rate of the parts in the production lines from large to small.
The lower the damage index of the production line is, the less the damage quantity of each part of the production line is affected by the production speed during processing, and the less the damage rate of each part is affected when the production speed of the production line is adjusted according to the sequence of the adjustment collection of the production line. When the production speed of the production line is adjusted according to the damage rate adjustment set, the damage rate of each part can be greatly influenced.
S303, when abnormal productivity or abnormal damage of parts occurs, synchronously adjusting the production speed of each production line and the damage rate of each part to meet the normal execution of a production plan, wherein the adjustment steps are as follows:
s303-1, when the capacity abnormality exists and all parts are not damaged and abnormal, on the premise of ensuring that all parts are not damaged and abnormal, sequentially increasing the production speed of the corresponding production line according to the sequence of the marks in the production line adjustment set until the total production speed is greater than or equal to the target production speed, and stopping increasing the production speed.
S303-2, when the damage abnormality exists and the capacity abnormality does not exist in the parts, on the premise that the total production speed is always larger than or equal to the target production speed, the production speed of the corresponding production line is sequentially reduced according to the sequence of the marks in the damage rate adjustment set of the parts until the sum of the estimated total number of used corresponding parts and the minimum number of damage is larger than or equal to the corresponding stock quantity of the parts, and the reduction of the production speed is stopped.
S303-3, when the damage abnormality exists in the parts and the capacity abnormality exists, sequentially reducing the production speed of the corresponding production line according to the sequence of the marks in the damage rate adjustment set of the parts until the sum of the estimated total number of the used parts and the minimum number of the damage is larger than or equal to the corresponding stock quantity of the parts, stopping reducing the production speed, and sequentially increasing the production speed of the corresponding production line according to the sequence of the marks in the production line adjustment set on the premise of ensuring that the damage abnormality does not exist in all the parts, until the total production speed is larger than or equal to the target production speed, and stopping increasing the production speed.
Meanwhile, the highest bearable damage rate of each part can be calculated through the stock quantity, the debugging space is analyzed according to the difference value between the highest bearable damage rate and the current damage rate, after the production speed of the production line with the highest damage rate of the part marked with abnormal damage is reduced, the production speed of the production line with the large debugging space of other parts is improved to compensate, the whole production speed is improved, the damage rate of part parts is reduced, and the load balance of each production line is realized.
In S4, when the inventory of the parts is abnormal, the inventory quantity of the parts cannot meet the quantity of the parts required for completing the production task, the production task cannot be completed by adjusting the load of the production line, the staff is informed of the identifier marked as the inventory abnormal parts and the corresponding inventory quantity early warning, and the production speed of each production line and the damage rate of each part are displayed through the visual large screen.
The energy storage box production management system based on neural network synchronization comprises a data acquisition module, a production analysis module, a productivity adjustment module and a visualization module.
The data acquisition module is used for acquiring production line information, part information, production plans and production logs in the production area. The production analysis module analyzes the production speed of the production line and the damage rate of each part according to the acquired information, and judges whether the production plan can be finished in quantity on time according to the current production speed and the part stock quantity. The productivity adjusting module improves the total productivity or reduces the damage rate of parts by adjusting the load degree of each production line, so that the production plan is smoothly executed, and early warning is given to staff when the inventory of the parts is insufficient and the damage rate cannot be improved by adjusting the damage rate, and the staff is used for processing instead. And the visual module displays the production information of each production line in real time through a visual large screen.
The data acquisition module comprises a production line information acquisition unit, a part information acquisition unit and a production information acquisition unit.
The production line information acquisition unit is used for acquiring the label and the production speed of each production line in the production area.
The part information acquisition unit is used for acquiring identifiers and stock quantity of parts used for producing the energy storage box body.
The production information acquisition unit is used for acquiring a production plan and a production log; the production plan includes production tasks, each of which includes a production lot number, a delivery time, and a delivery quantity; the production log comprises processing records, each processed energy storage box corresponds to one processing record, the processing records comprise a label, a production batch number, a production speed and damage information, and the damage information refers to identifiers and damage numbers of damaged parts in the processing process.
The production analysis module comprises a productivity analysis unit and a loss analysis unit.
The productivity analysis unit is used for judging whether the total production speed meets the production plan.
First, the production lot Pd, delivery time, and delivery quantity in the production plan for which the production task is being performed are acquired. And secondly, subtracting the processing record number with the production lot number Pd in the production log from the delivery number to obtain the number of boxes to be produced, subtracting the current time from the delivery time to obtain the remaining delivery time, and dividing the number of boxes to be produced by the remaining delivery time to obtain the target production speed. And finally, judging whether the sum of the production speeds of all production lines in the production area is greater than or equal to the target production speed, if so, not processing, and if not, otherwise, generating abnormal conditions.
The loss analysis unit is used for judging whether the damage rate of each part meets the production plan.
Firstly, establishing a damage rate set for each production line, acquiring processing records with all production lot numbers Pd in production logs, analyzing damage information of each processing record under each production line, counting the damage quantity of parts with the same identifier, calculating the damage rate of the parts, and putting the parts into the damage rate set of the corresponding production line.
And secondly, dividing the number of the boxes to be produced by the total production speed, multiplying the total production speed by the production speed of each production line, obtaining the estimated number of the boxes R of each production line after upward rounding, calculating the estimated total damage according to the estimated number of the boxes R, summing the estimated number of the boxes R of each production line to obtain the estimated total number of the boxes, and calculating the estimated total use number of each part according to the estimated total number of the boxes.
Finally, judging whether the sum of the estimated damage total number and the estimated use total number of each part is larger than or equal to the corresponding stock quantity of the part, if so, not processing; and if not, setting a minimum damage rate for each part, calculating to obtain a minimum damage rate according to the estimated total number of the parts and the corresponding minimum damage rate, judging whether the sum of the estimated total number of the parts and the minimum damage rate is larger than or equal to the corresponding stock quantity of the parts, if so, marking the corresponding parts as damage abnormality, and if not, marking the corresponding parts as stock abnormality.
The capacity adjusting module comprises an early warning notification unit and a load adjusting unit.
The early warning notification unit is used for notifying an identifier marked as the inventory abnormal part and a corresponding inventory quantity early warning to staff when the inventory of the part is abnormal, and the staff is used for processing the inventory abnormal part.
The load adjusting unit is used for adjusting the load degree of each production line to improve the total production capacity or reduce the damage rate of parts.
Firstly, analyzing damage information of each processing record under each production line, counting the damage quantity of parts with the same identifier, and calculating damage influence indexes of the parts. And secondly, summing damage influence indexes of all parts under the same production line to obtain damage indexes, and sequentially putting the marks of the production line into a production line adjustment set according to the sequence from small to large of the damage indexes. And finally, establishing a damage rate adjustment set for each part, and sequentially placing the marks of the production lines into the damage rate adjustment set according to the damage rate of the parts in each production line from large to small.
When the abnormal productivity condition exists, the production speed of the corresponding production line is sequentially increased according to the sequence of the marks in the production line adjustment set until the total production speed is greater than or equal to the target production speed, and the increase of the production speed is stopped.
When the damage abnormality exists in the parts, the production speed of the corresponding production line is sequentially reduced according to the sequence of the marks in the damage rate adjustment set of the parts until the sum of the estimated total number of the corresponding parts and the minimum number of the damage is greater than or equal to the corresponding stock quantity of the parts, and the reduction of the production speed is stopped.
When the damage abnormality exists on the parts and the productivity abnormality exists, the production speed of the corresponding production line is sequentially reduced according to the sequence of the marks in the adjustment set of the damage rate of the parts, the production speed is stopped to be reduced until the sum of the estimated total number of the used parts and the minimum number of the damage is larger than or equal to the corresponding stock quantity of the parts, then the production speed of the corresponding production line is sequentially increased according to the sequence of the marks in the adjustment set of the production line on the premise that the damage abnormality does not exist on all the parts, and the production speed is stopped to be increased until the total production speed is larger than or equal to the target production speed.
The visual module displays the production speed of each production line and the damage rate of each part under each production line in real time through a visual large screen.
Compared with the prior art, the invention has the following beneficial effects:
1. accurate damage rate judgment: according to the method, the production logs are analyzed, the damage rate of each part under each production line is calculated, the parts of the same kind are ordered from large to small according to the damage rate of each production line, and when the damage rate needs to be reduced due to insufficient storage quantity of the parts, the fact that the damage rate caused by the production line is too high can be accurately judged, and efficient and rapid adjustment is achieved.
2. Dynamic control of productivity: according to the method and the device, the damage influence indexes of the parts are calculated according to the damage quantity of each production line at different production speeds, the production line with the least influence of the adjustment production speed on the damage quantity of the parts is found, the production speed is improved, the capacity is improved, the dynamic control of the whole capacity is not influenced by the capacity reduction caused by the adjustment of the damage rate, and the smooth execution of production tasks is ensured.
3. Multi-condition scheduling: the method can achieve various effects of reducing the damage rate of individual parts, improving the overall productivity and the like by only adopting a production speed adjusting mode, simultaneously meets the limiting requirements of various conditions such as part stock quantity, overall productivity, production plan and the like in the adjusting process, fully exerts the productivity advantages of each production line and improves the utilization efficiency of the production line.
In summary, compared with the traditional technology, the method has the advantages of accurate damage rate judgment, dynamic capacity control and multi-condition scheduling, and can improve production efficiency.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic flow chart of a method for energy storage tank production management based on neural network synchronization;
fig. 2 is a schematic structural diagram of an energy storage tank production management system based on neural network synchronization.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a neural network synchronization-based energy storage box production management method, which comprises the following steps:
s1, acquiring production line information, part information, a production plan and a production log in a production area in real time;
s2, analyzing the overall productivity and the damage rate according to the acquired information, and judging whether the production plan can be completed on time and in quantity;
s3, adjusting the load degree of each production line to improve the productivity or reduce the damage rate so as to meet the execution of the production plan;
S4, early warning staff in time when the condition cannot be adjusted, and displaying production information of each production line through a visual large screen.
In S1, the production area refers to the working area for producing the energy storage tank. The line information refers to the label and production speed of each line in the production area. The parts refer to parts used to produce the energy storage tanks, and the part information includes identifiers and inventory. The production plan includes production tasks, each of which includes a production lot number, a delivery time, and a delivery quantity. The production log refers to machining records of all the energy storage boxes, each machined energy storage box corresponds to one machining record, the machining records comprise marks, production batch numbers, production speeds and damage information, and the damage information refers to damaged part information in the machining process and comprises identifiers and damage quantity.
And each energy storage box body is produced, one machining record is added, the number of damaged information pieces in the machining record is the same as the number of the types of damaged parts in the machining process, and only one piece of damaged information is recorded no matter how many parts of the same type are damaged.
Judging the damage of parts on the production line by adopting a neural network and recording damage information;
first, image data of normal or damaged parts on the production line is collected and it is ensured that the data set contains various types and degrees of damage so that the neural network can learn the characteristics in various situations. The collected image data is subjected to preprocessing operations such as size standardization, graying, denoising and the like, so that the neural network can better process the data.
Secondly, the image data are processed by constructing a convolutional neural network, a proper network structure and layer number are selected according to the scale and the complexity of a data set, the data set is divided into a training set and a testing set, a neural network model is trained by the training set, and the performance of the model is evaluated by the testing set. The neural network model is trained by using the training set, and model parameters are adjusted by a back propagation algorithm, so that the model parameters can better judge the normal and damage of the part. And evaluating the trained model by using the test set, and calculating indexes such as accuracy, recall rate and the like of the model to evaluate the performance of the model.
And finally, deploying the trained model on each production line, detecting and judging the parts in real time, finding out damaged parts in time, recording the number of damage, and generating damage information.
In S2, the specific steps are as follows:
s201, obtaining a production lot number Pd, delivery time and delivery number of a production task being executed in a production plan, retrieving the processing record number of the production lot number Pd in a production log as the number of produced boxes, subtracting the number of produced boxes from the delivery number to obtain the number of boxes to be produced, subtracting the current time from the delivery time to obtain the remaining delivery time, and dividing the number of boxes to be produced by the remaining delivery time to obtain the target production speed.
S202, summing the production speeds of all production lines in the production area to be used as a total production speed, judging whether the total production speed is greater than or equal to a target production speed, if so, not processing, and if not, otherwise, generating abnormal conditions.
If the current total production speed is greater than or equal to the target speed, the production task can be completed in time according to the quantity, otherwise, the production speed is required to be improved if the production task cannot be completed.
S203, obtaining processing records with the production lot number Pd in a production log, classifying the processing records according to the marks of production lines, dividing the processing records with the same marks into the same type, establishing a damage rate set for each production line, analyzing damage information of each processing record in the same type one by one, substituting the sum of the damage numbers of parts with the same identifier into a formula to calculate the damage rate of the parts, and putting the damage rate set into the damage rate set of the corresponding production line, wherein the formula is as follows:
in the method, in the process of the invention,refers to the total number of damages of the k parts identified by the identifier in the mth production line, j refers to the number of damaged information pieces of the k parts identified by the identifier in the mth production line, and +.>Is the number of defects in the ith defect information indicating a k-th part, Refers to the damage rate of k parts marked as k in the mth production line, L m Refers to the number of processed record strips in the mth production line, f k The number of k parts is required for the production of each energy storage tank.
In the production process of the energy storage box body, the production speed of each production line can be regulated and controlled to a certain extent, the production speed is increased, errors are more likely to occur, and the damage rate of parts is increased, but because the establishment time and the use state of each production line are different, even the same production speed is adopted under different production lines, the damage rate of the same type of parts is not necessarily the same. Different damage rates exist in different production lines for the same type of parts, and the damage rates only represent the damage rates of the parts in the current production task.
The damage rate of parts can be further reduced by reducing the production speed of the production line, and the reduction degree of the damage rate of each part is different even if the production speed of the same unit is reduced in different production lines.
S204, dividing the number of the boxes to be produced by the total production speed to obtain estimated delivery time, multiplying the production speed of each production line by the estimated delivery time respectively, rounding up to obtain the estimated number of the boxes R of each production line, substituting the damage rate of each part in the damage rate set and the estimated number of the boxes of the corresponding production line into a damage rate formula together to calculate the estimated number of damage Q, summing the estimated number of damage Q of each part under each production line to obtain the estimated total number of damage, and corresponding one of the estimated total number of damage.
Because the energy storage box body needs a certain time to be produced, the estimated production box body number is usually larger than the box body number to be produced, and a certain redundant space can be provided for the quantity judgment and adjustment of subsequent parts by adopting the estimated damage total number obtained by calculating the estimated production box body number.
S205, summing the estimated production box numbers R of all production lines to obtain estimated production box total numbers, respectively obtaining the number of parts needed for producing each energy storage box, multiplying the estimated production box total numbers to obtain estimated use total numbers of each part, judging whether the sum of the estimated damage total numbers and the estimated use total numbers of each part is larger than or equal to the corresponding stock quantity of the parts, if so, not processing, and if not, entering S206.
S206, setting a minimum damage rate for each part, substituting the estimated total number of the parts and the corresponding minimum damage rate into a damage rate formula to calculate the minimum damage rate, judging whether the sum of the estimated total number of the parts and the minimum damage rate is larger than or equal to the corresponding stock quantity of the parts, if so, marking the corresponding parts as damage abnormality, and if not, marking the corresponding parts as stock abnormality.
The setting of the minimum damage rate is preset by staff according to actual conditions, and in actual production and processing, the damage rate cannot be reduced to a degree smaller than the minimum damage rate through automatic adjustment.
The specific steps in S3 are as follows:
s301, acquiring all processing records in a production log, classifying the processing records according to the marks of a production line, dividing the processing records with the same marks into the same class, analyzing damage information of each processing record in the same class one by one, bringing the damage quantity of each part in the damage information into a formula to calculate a damage influence index, wherein an identifier of each part in the same production line corresponds to one damage influence index; the formula is as follows:
in the method, in the process of the invention,the damage influence index of the k parts marked as the identifier in the mth production line is shown, u is the number of damage information pieces of the k parts containing the identifier in all processing records under the mth production line, and +.>Is the number of damages in the h damage information indicating the k-th part, +.>The h damage information of the part with the index identifier of k corresponds to the production speed of the processing record.
The damage impact index represents the change of the damage quantity of the corresponding parts and the relation between the damage quantity and the production speed when the production line is processed each time, and the smaller the damage impact index is, the smaller the damage quantity of the corresponding parts is affected by the production speed when the production line is processed each time.
S302, obtaining damage indexes after summing damage influence indexes of parts under the same production line, and sequentially placing the marks of the production line into a production line adjustment set according to the sequence from small to large of the damage indexes; and establishing a damage rate adjustment set for each part, and sequentially placing the marks of the production lines into the damage rate adjustment set according to the damage rate of the parts in the production lines from large to small.
The lower the damage index of the production line is, the less the damage quantity of each part of the production line is affected by the production speed during processing, and the less the damage rate of each part is affected when the production speed of the production line is adjusted according to the sequence of the adjustment collection of the production line. When the production speed of the production line is adjusted according to the damage rate adjustment set, the damage rate of each part can be greatly influenced.
S303, when abnormal productivity or abnormal damage of parts occurs, synchronously adjusting the production speed of each production line and the damage rate of each part to meet the normal execution of a production plan, wherein the adjustment steps are as follows:
s303-1, when the capacity abnormality exists and all parts are not damaged and abnormal, on the premise of ensuring that all parts are not damaged and abnormal, sequentially increasing the production speed of the corresponding production line according to the sequence of the marks in the production line adjustment set until the total production speed is greater than or equal to the target production speed, and stopping increasing the production speed.
S303-2, when the damage abnormality exists and the capacity abnormality does not exist in the parts, on the premise that the total production speed is always larger than or equal to the target production speed, the production speed of the corresponding production line is sequentially reduced according to the sequence of the marks in the damage rate adjustment set of the parts until the sum of the estimated total number of used corresponding parts and the minimum number of damage is larger than or equal to the corresponding stock quantity of the parts, and the reduction of the production speed is stopped.
S303-3, when the damage abnormality exists in the parts and the capacity abnormality exists, sequentially reducing the production speed of the corresponding production line according to the sequence of the marks in the damage rate adjustment set of the parts until the sum of the estimated total number of the used parts and the minimum number of the damage is larger than or equal to the corresponding stock quantity of the parts, stopping reducing the production speed, and sequentially increasing the production speed of the corresponding production line according to the sequence of the marks in the production line adjustment set on the premise of ensuring that the damage abnormality does not exist in all the parts, until the total production speed is larger than or equal to the target production speed, and stopping increasing the production speed.
Meanwhile, the highest bearable damage rate of each part can be calculated through the stock quantity, the debugging space is analyzed according to the difference value between the highest bearable damage rate and the current damage rate, after the production speed of the production line with the highest damage rate of the part marked with abnormal damage is reduced, the production speed of the production line with the large debugging space of other parts is improved to compensate, the whole production speed is improved, the damage rate of part parts is reduced, and the load balance of each production line is realized.
In S4, when the inventory of the parts is abnormal, the inventory quantity of the parts cannot meet the quantity of the parts required for completing the production task, the production task cannot be completed by adjusting the load of the production line, the staff is informed of the identifier marked as the inventory abnormal parts and the corresponding inventory quantity early warning, and the production speed of each production line and the damage rate of each part are displayed through the visual large screen.
Referring to fig. 2, the invention provides an energy storage box production management system based on neural network synchronization, which comprises a data acquisition module, a production analysis module, a productivity adjustment module and a visualization module.
The data acquisition module is used for acquiring production line information, part information, production plans and production logs in the production area. The production analysis module analyzes the production speed of the production line and the damage rate of each part according to the acquired information, and judges whether the production plan can be finished in quantity on time according to the current production speed and the part stock quantity. The productivity adjusting module improves the total productivity or reduces the damage rate of parts by adjusting the load degree of each production line, so that the production plan is smoothly executed, and early warning is given to staff when the inventory of the parts is insufficient and the damage rate cannot be improved by adjusting the damage rate, and the staff is used for processing instead. And the visual module displays the production information of each production line in real time through a visual large screen.
The data acquisition module comprises a production line information acquisition unit, a part information acquisition unit and a production information acquisition unit.
The production line information acquisition unit is used for acquiring the label and the production speed of each production line in the production area.
The part information acquisition unit is used for acquiring identifiers and stock quantity of parts used for producing the energy storage box body.
The production information acquisition unit is used for acquiring a production plan and a production log; the production plan includes production tasks, each of which includes a production lot number, a delivery time, and a delivery quantity; the production log comprises processing records, each processed energy storage box corresponds to one processing record, the processing records comprise a label, a production batch number, a production speed and damage information, and the damage information refers to identifiers and damage numbers of damaged parts in the processing process.
The production analysis module comprises a productivity analysis unit and a loss analysis unit.
The productivity analysis unit is used for judging whether the total production speed meets the production plan.
First, the production lot Pd, delivery time, and delivery quantity in the production plan for which the production task is being performed are acquired. And secondly, subtracting the processing record number with the production lot number Pd in the production log from the delivery number to obtain the number of boxes to be produced, subtracting the current time from the delivery time to obtain the remaining delivery time, and dividing the number of boxes to be produced by the remaining delivery time to obtain the target production speed. And finally, judging whether the sum of the production speeds of all production lines in the production area is greater than or equal to the target production speed, if so, not processing, and if not, otherwise, generating abnormal conditions.
The loss analysis unit is used for judging whether the damage rate of each part meets the production plan.
Firstly, establishing a damage rate set for each production line, acquiring processing records with all production lot numbers Pd in production logs, analyzing damage information of each processing record under each production line, counting the damage quantity of parts with the same identifier, calculating the damage rate of the parts, and putting the parts into the damage rate set of the corresponding production line.
And secondly, dividing the number of the boxes to be produced by the total production speed, multiplying the total production speed by the production speed of each production line, obtaining the estimated number of the boxes R of each production line after upward rounding, calculating the estimated total damage according to the estimated number of the boxes R, summing the estimated number of the boxes R of each production line to obtain the estimated total number of the boxes, and calculating the estimated total use number of each part according to the estimated total number of the boxes.
Finally, judging whether the sum of the estimated damage total number and the estimated use total number of each part is larger than or equal to the corresponding stock quantity of the part, if so, not processing; and if not, setting a minimum damage rate for each part, calculating to obtain a minimum damage rate according to the estimated total number of the parts and the corresponding minimum damage rate, judging whether the sum of the estimated total number of the parts and the minimum damage rate is larger than or equal to the corresponding stock quantity of the parts, if so, marking the corresponding parts as damage abnormality, and if not, marking the corresponding parts as stock abnormality.
The capacity adjusting module comprises an early warning notification unit and a load adjusting unit.
The early warning notification unit is used for notifying an identifier marked as the inventory abnormal part and a corresponding inventory quantity early warning to staff when the inventory of the part is abnormal, and the staff is used for processing the inventory abnormal part.
The load adjusting unit is used for adjusting the load degree of each production line to improve the total production capacity or reduce the damage rate of parts.
Firstly, analyzing damage information of each processing record under each production line, counting the damage quantity of parts with the same identifier, and calculating damage influence indexes of the parts. And secondly, summing damage influence indexes of all parts under the same production line to obtain damage indexes, and sequentially putting the marks of the production line into a production line adjustment set according to the sequence from small to large of the damage indexes. And finally, establishing a damage rate adjustment set for each part, and sequentially placing the marks of the production lines into the damage rate adjustment set according to the damage rate of the parts in each production line from large to small.
When the abnormal productivity condition exists, the production speed of the corresponding production line is sequentially increased according to the sequence of the marks in the production line adjustment set until the total production speed is greater than or equal to the target production speed, and the increase of the production speed is stopped.
When the damage abnormality exists in the parts, the production speed of the corresponding production line is sequentially reduced according to the sequence of the marks in the damage rate adjustment set of the parts until the sum of the estimated total number of the corresponding parts and the minimum number of the damage is greater than or equal to the corresponding stock quantity of the parts, and the reduction of the production speed is stopped.
When the damage abnormality exists on the parts and the productivity abnormality exists, the production speed of the corresponding production line is sequentially reduced according to the sequence of the marks in the adjustment set of the damage rate of the parts, the production speed is stopped to be reduced until the sum of the estimated total number of the used parts and the minimum number of the damage is larger than or equal to the corresponding stock quantity of the parts, then the production speed of the corresponding production line is sequentially increased according to the sequence of the marks in the adjustment set of the production line on the premise that the damage abnormality does not exist on all the parts, and the production speed is stopped to be increased until the total production speed is larger than or equal to the target production speed.
The visual module displays the production speed of each production line and the damage rate of each part under each production line in real time through a visual large screen.
Embodiment one:
assuming that 3 processing records exist under the same production batch number in a certain production line, each processing record has one or two pieces of damage information, and the damage information is as follows:
Damage information of the first machining record: identifier-A1, damage number 12;
damage information of the second processing record: identifier-A1, number of damages 8; identifier-A2, number of damages 5;
damage information of the third processing record: identifier-A1, number of damages 10; identifier-A2, number of damages 3;
assuming that the number of parts with identifiers A1 and A2 required for producing each energy storage box is 6 and 4 respectively, the damage rate of the parts A1 and A2 is calculated by the brought formula:
a1 part:a2 part: />
The damage rate of the A1 part is 62.5% and the damage rate of the A2 part is 40%.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The energy storage box production management method based on neural network synchronization is characterized by comprising the following steps of: the method comprises the following steps:
s1, acquiring production line information, part information, a production plan and a production log in a production area in real time;
s2, analyzing the overall productivity and the damage rate according to the acquired information, and judging whether the production plan can be completed on time and in quantity;
s3, adjusting the load degree of each production line to improve the productivity or reduce the damage rate so as to meet the execution of the production plan;
s4, early warning staff in time when the condition cannot be adjusted, and displaying production information of each production line through a visual large screen.
2. The energy storage box production management method based on neural network synchronization according to claim 1, wherein the energy storage box production management method is characterized by comprising the following steps: in S1, a production area refers to an operation area for producing the energy storage tank; the production line information refers to the label and the production speed of each production line in the production area; the part information includes an identifier and an inventory; the production plan includes production tasks, each of which includes a production lot number, a delivery time, and a delivery quantity; the production log refers to machining records of all the energy storage boxes, each machined energy storage box corresponds to one machining record, the machining records comprise marks, production batch numbers, production speeds and damage information, and the damage information refers to damaged part information in the machining process and comprises identifiers and damage quantity.
3. The energy storage box production management method based on neural network synchronization according to claim 2, wherein the energy storage box production management method is characterized in that: in S2, the specific steps are as follows:
s201, acquiring a production lot number Pd, delivery time and delivery number of a production task being executed in a production plan, retrieving a processing record number of the production lot number Pd in a production log as a produced box number, subtracting the produced box number from the delivery number to obtain a box number to be produced, subtracting the current time from the delivery time to obtain a remaining delivery time, and dividing the box number to be produced by the remaining delivery time to obtain a target production speed;
s202, summing production speeds of all production lines in a production area to be used as a total production speed, judging whether the total production speed is greater than or equal to a target production speed, if so, not processing, and if not, otherwise, generating abnormal conditions;
s203, obtaining processing records with the production lot number Pd in a production log, classifying the processing records according to the marks of production lines, dividing the processing records with the same marks into the same type, establishing a damage rate set for each production line, analyzing damage information of each processing record in the same type one by one, substituting the sum of the damage numbers of parts with the same identifier into a formula to calculate the damage rate of the parts, and putting the damage rate set into the damage rate set of the corresponding production line, wherein the formula is as follows:
In the method, in the process of the invention,refers to the total number of damages of the k parts identified by the identifier in the mth production line, j refers to the number of damaged information pieces of the k parts identified by the identifier in the mth production line, and +.>Is the number of damages in the ith damage information indicating the k-th part, +.>Refers to the damage rate of k parts marked as k in the mth production line, L m Refers to the number of processed record strips in the mth production line, f k The number of k parts is used for producing each energy storage box body;
s204, dividing the number of the boxes to be produced by the total production speed to obtain estimated delivery time, multiplying the production speed of each production line by the estimated delivery time respectively, rounding up to obtain the estimated number of the boxes R of each production line, substituting the damage rate of each part in the damage rate set and the estimated number of the boxes of the corresponding production line into a damage rate formula together to calculate to obtain estimated damage number Q, summing the estimated damage number Q of each part under each production line to obtain estimated damage total number, and each part corresponds to one estimated damage total number;
s205, summing the estimated production box numbers R of all production lines to obtain estimated production box total numbers, respectively obtaining the number of parts required for producing each energy storage box, multiplying the estimated production box total numbers to obtain estimated use total numbers of each part, judging whether the sum of the estimated damage total numbers and the estimated use total numbers of each part is larger than or equal to the corresponding stock quantity of the parts, if so, not processing, otherwise, entering S206;
S206, setting a minimum damage rate for each part, substituting the estimated total number of the parts and the corresponding minimum damage rate into a damage rate formula to calculate the minimum damage rate, judging whether the sum of the estimated total number of the parts and the minimum damage rate is larger than or equal to the corresponding stock quantity of the parts, if so, marking the corresponding parts as damage abnormality, and if not, marking the corresponding parts as stock abnormality.
4. The energy storage box production management method based on neural network synchronization according to claim 3, wherein the energy storage box production management method is characterized in that: the specific steps in S3 are as follows:
s301, acquiring all processing records in a production log, classifying the processing records according to the marks of a production line, dividing the processing records with the same marks into the same class, analyzing damage information of each processing record in the same class one by one, bringing the damage quantity of each part in the damage information into a formula to calculate a damage influence index, wherein an identifier of each part in the same production line corresponds to one damage influence index; the formula is as follows:
in the method, in the process of the invention,the damage influence index of the k parts marked as the identifier in the mth production line is shown, u is the number of damage information pieces of the k parts containing the identifier in all processing records under the mth production line, and +. >Is the number of damages in the h damage information indicating the k-th part, +.>The h damage information of the part with the index identifier of k corresponds to the production speed of the processing record;
s302, obtaining damage indexes after summing damage influence indexes of parts under the same production line, and sequentially placing the marks of the production line into a production line adjustment set according to the sequence from small to large of the damage indexes; establishing a damage rate adjustment set for each part, and sequentially placing the marks of the production lines into the damage rate adjustment set according to the damage rate of the parts in the production lines from large to small;
s303, when abnormal productivity or abnormal damage of parts occurs, synchronously adjusting the production speed of each production line and the damage rate of each part to meet the normal execution of a production plan, wherein the adjustment steps are as follows:
s303-1, when the capacity abnormality exists and all parts are not damaged and abnormal, on the premise of ensuring that all parts are not damaged and abnormal, sequentially increasing the production speed of the corresponding production line according to the sequence of the marks in the production line adjustment set until the total production speed is greater than or equal to the target production speed, and stopping increasing the production speed;
s303-2, when the damage abnormality exists and the capacity abnormality does not exist in the parts, on the premise of ensuring that the total production speed is always greater than or equal to the target production speed, sequentially reducing the production speed of the corresponding production line according to the sequence of the marks in the damage rate adjustment set of the parts until the sum of the estimated total number of used parts and the minimum number of damaged parts is greater than or equal to the corresponding stock quantity of the parts, and stopping reducing the production speed;
S303-3, when the damage abnormality exists in the parts and the capacity abnormality exists, sequentially reducing the production speed of the corresponding production line according to the sequence of the marks in the damage rate adjustment set of the parts until the sum of the estimated total number of the used parts and the minimum number of the damage is larger than or equal to the corresponding stock quantity of the parts, stopping reducing the production speed, and sequentially increasing the production speed of the corresponding production line according to the sequence of the marks in the production line adjustment set on the premise of ensuring that the damage abnormality does not exist in all the parts, until the total production speed is larger than or equal to the target production speed, and stopping increasing the production speed.
5. The neural network synchronization-based energy storage box production management method as claimed in claim 4, wherein: in S4, when the inventory of the parts is abnormal, the inventory quantity of the parts cannot meet the quantity of the parts required for completing the production task, the production task cannot be completed by adjusting the load of the production line, the staff is informed of the identifier marked as the inventory abnormal parts and the corresponding inventory quantity early warning, and the production speed of each production line and the damage rate of each part are displayed through the visual large screen.
6. Energy storage box production management system based on neural network is synchronous, its characterized in that: the system comprises a data acquisition module, a production analysis module, a productivity adjustment module and a visualization module;
The data acquisition module is used for acquiring production line information, part information, production plans and production logs in the production area; the production analysis module analyzes the production speed of the production line and the damage rate of each part according to the acquired information and judges whether the production plan can be finished in quantity on time according to the current production speed and the part stock quantity; the productivity adjusting module improves the total productivity or reduces the damage rate of parts by adjusting the load degree of each production line, so that the production plan is smoothly executed, and early warning is given to staff when the inventory of the parts is insufficient and the parts cannot be improved by adjusting the damage rate, and the staff is used for processing; and the visual module displays the production information of each production line in real time through a visual large screen.
7. The neural network synchronization-based energy storage tank production management system of claim 6, wherein: the data acquisition module comprises a production line information acquisition unit, a part information acquisition unit and a production information acquisition unit;
the production line information acquisition unit is used for acquiring the label and the production speed of each production line in the production area;
the part information acquisition unit is used for acquiring identifiers and stock quantity of parts used for producing the energy storage box body;
The production information acquisition unit is used for acquiring a production plan and a production log; the production plan includes production tasks, each of which includes a production lot number, a delivery time, and a delivery quantity; the production log comprises processing records, each processed energy storage box corresponds to one processing record, the processing records comprise a label, a production batch number, a production speed and damage information, and the damage information refers to identifiers and damage numbers of damaged parts in the processing process.
8. The neural network synchronization-based energy storage tank production management system of claim 7, wherein: the production analysis module comprises a productivity analysis unit and a loss analysis unit;
the productivity analysis unit is used for judging whether the total production speed meets the production plan;
firstly, acquiring a production lot Pd, delivery time and delivery quantity of a production task being executed in a production plan; secondly, subtracting the processing record number with the production lot number Pd in the production log from the delivery number to obtain the number of boxes to be produced, subtracting the current time from the delivery time to obtain the remaining delivery time, and dividing the number of boxes to be produced by the remaining delivery time to obtain the target production speed; finally, judging whether the sum of the production speeds of all production lines in the production area is greater than or equal to the target production speed, if so, not processing, and if not, obtaining abnormal productivity;
The loss analysis unit is used for judging whether the damage rate of each part meets the production plan;
firstly, establishing a damage rate set for each production line, acquiring processing records with all production lot numbers Pd in production logs, analyzing damage information of each processing record under each production line, counting the damage quantity of parts with the same identifier, calculating the damage rate of the parts, and putting the parts into the damage rate set of the corresponding production line;
secondly, dividing the number of the boxes to be produced by the total production speed, multiplying the total production speed by the production speed of each production line, obtaining the estimated number of the boxes R of each production line after upward rounding, obtaining the estimated total damage number according to the estimated number of the boxes R, summing the estimated number of the boxes R of each production line to obtain the estimated total number of the boxes, and obtaining the estimated total use number of each part according to the estimated total number of the boxes;
finally, judging whether the sum of the estimated damage total number and the estimated use total number of each part is larger than or equal to the corresponding stock quantity of the part, if so, not processing; and if not, setting a minimum damage rate for each part, calculating to obtain a minimum damage rate according to the estimated total number of the parts and the corresponding minimum damage rate, judging whether the sum of the estimated total number of the parts and the minimum damage rate is larger than or equal to the corresponding stock quantity of the parts, if so, marking the corresponding parts as damage abnormality, and if not, marking the corresponding parts as stock abnormality.
9. The neural network synchronization-based energy storage tank production management system of claim 8, wherein: the capacity adjusting module comprises an early warning notification unit and a load adjusting unit;
the early warning notification unit is used for notifying an identifier marked as the inventory abnormal part and a corresponding inventory quantity to staff in early warning when the inventory of the part is abnormal, and the staff is used for processing instead;
the load adjusting unit is used for adjusting the load degree of each production line to improve the total production capacity or reduce the damage rate of parts;
firstly, analyzing damage information of each processing record under each production line, counting the damage quantity of parts with the same identifier, and calculating damage influence indexes of the parts; secondly, the damage influence indexes of all parts under the same production line are summed to obtain a damage index, and the marks of the production line are sequentially put into a production line adjustment set according to the sequence from small to large of the damage index; finally, a damage rate adjustment set is established for each part, and the marks of the production lines are sequentially put into the damage rate adjustment set according to the sequence from the high damage rate to the low damage rate of the part in each production line;
when the abnormal productivity condition exists, the production speed of the corresponding production line is sequentially increased according to the sequence of the marks in the production line adjustment set until the total production speed is greater than or equal to the target production speed, and the increase of the production speed is stopped;
When the damage abnormality exists in the parts, sequentially reducing the production speed of the corresponding production line according to the sequence of the marks in the damage rate adjustment set of the parts until the sum of the estimated total number of the corresponding parts and the minimum number of the damage is greater than or equal to the corresponding stock quantity of the parts, and stopping reducing the production speed;
when the damage abnormality exists on the parts and the productivity abnormality exists, the production speed of the corresponding production line is sequentially reduced according to the sequence of the marks in the adjustment set of the damage rate of the parts, the production speed is stopped to be reduced until the sum of the estimated total number of the used parts and the minimum number of the damage is larger than or equal to the corresponding stock quantity of the parts, then the production speed of the corresponding production line is sequentially increased according to the sequence of the marks in the adjustment set of the production line on the premise that the damage abnormality does not exist on all the parts, and the production speed is stopped to be increased until the total production speed is larger than or equal to the target production speed.
10. The neural network synchronization-based energy storage tank production management system of claim 9, wherein: the visual module displays the production speed of each production line and the damage rate of each part under each production line in real time through a visual large screen.
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