CN117150348A - Battery external damage data processing method, system, electronic equipment and storage medium - Google Patents
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Abstract
The application provides a battery external damage data processing method, a system, electronic equipment and a storage medium, which relate to the field of data processing, wherein the battery external damage data processing method comprises the steps of classifying battery external damage data based on preset index dimensions to obtain a structured data form; and analyzing and processing the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to a target index dimension, wherein the target index dimension comprises one or more index dimensions in the plurality of index dimensions. The embodiment of the application can realize the efficient management of the battery external loss data, analyze the external loss cost from different index dimensions, improve the calculation accuracy of the battery external loss cost, and further be beneficial to finding out the reason of high battery external loss cost and further reduce the external loss.
Description
Technical Field
The present application relates to the field of data processing, and in particular, to a method, a system, an electronic device, and a storage medium for processing battery external loss data.
Background
The battery external damage data includes various data related to the battery external damage cost, namely the cost of the battery products such as lithium batteries paid for claims, maintenance, replacement or credit damage generated by product quality problems during the process of delivering the battery products from a delivery warehouse to an external warehouse and during the quality guarantee period after sales.
At present, accounting of battery external loss cost is generally performed by manually counting financial data, and along with expansion of production scale, the traditional manual accounting mode cannot cope with accounting of mass data, and the traditional manual accounting mode is single and is only used for counting total financial number, so that management and expansion analysis of data cannot be realized.
The statements made above merely serve to provide background information related to the present disclosure and may not necessarily constitute prior art.
Disclosure of Invention
In view of the above, the application aims to provide a battery external damage cost analysis method, a system, electronic equipment and a storage medium, which can pointedly solve the problems that the existing external damage analysis mode is single and the management and expansion analysis of data cannot be realized.
Based on the above object, in a first aspect, the present application provides a battery external loss data processing method, which includes: classifying the battery external damage data based on a preset index dimension to obtain a structured data form; and analyzing and processing the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to target index dimensions, wherein the target index dimensions comprise one or more index dimensions.
The battery external damage data is classified through the preset index dimension to obtain a structured data form, so that efficient management of the battery external damage data can be realized, the battery external damage data in the structured data form is analyzed and processed to obtain a battery external damage cost calculation result corresponding to the target index dimension, the external damage cost can be analyzed from different index dimensions, the calculation accuracy of the battery external damage cost is improved, further, the finding of the reason of high battery external damage cost is facilitated, and the external damage is further reduced.
In some embodiments, the analyzing the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to the target index dimension includes: calculating the battery external loss cost of the battery external loss data of all index dimensions in the structured data form; taking the index dimension of the battery external loss cost higher than a preset value as a first index dimension; analyzing the correlation between the battery external loss data with different index dimensions to obtain a second index dimension with the correlation with the first index dimension larger than a preset correlation threshold; and taking the first index dimension and the second index dimension as the target index dimension, and outputting a battery external loss cost calculation result of the target index dimension.
And according to the correlation between the battery external loss data of different index dimensions, obtaining a second index dimension with larger correlation with the first index dimension, and then obtaining all index dimensions with higher external loss cost of the representation battery as target index dimensions, and further outputting a battery external loss cost calculation result of the target index dimensions, thereby being beneficial to the improvement of the battery external loss cost by relevant technicians from the target index dimensions in a targeted manner, and further being beneficial to reducing the battery external loss cost.
In some embodiments, analyzing the battery external loss data in the structured data form comprises: carrying out statistical calculation on the battery external loss cost in the battery external loss data; and carrying out statistical calculation on the shipment quantity in the battery external loss data, wherein the shipment quantity is the total electric quantity of the battery core of the battery.
The battery external damage cost in the battery external damage data is calculated by statistics, the battery external damage cost under each index dimension can be calculated by statistics calculation of the shipment volume, the ratio of the battery external damage cost under a certain index dimension to the shipment volume can be calculated, and the ratio of the battery external damage cost to the shipment volume can represent the external damage cost brought by the battery selling the electric quantity at each watt hour because the shipment volume is the total electric quantity of the battery core, thereby being beneficial to the analysis and control of the battery external damage cost by manufacturers.
In some embodiments, performing a statistical calculation on the battery external loss cost in the battery external loss data includes: and carrying out statistical calculation on the battery external damage cost in the battery external damage data according to any one or more index dimensions of the service class, the cost occurrence time and the problem class of the external damage cost.
The battery external damage cost with different index dimensions can be obtained, so that the reasons for high battery external damage cost can be analyzed from multiple aspects.
In some embodiments, performing a statistical calculation on the shipment in the battery loss data includes: and carrying out statistical calculation on the shipment quantity in the battery external loss data according to any one or more index dimensions of a production base, a shipment date, customer short, product types, product lines, a chemical system and battery core capacity of the battery.
Therefore, the shipment volume under different index dimensions can be obtained, so that the ratio of the battery outer loss cost to the shipment volume under different index dimensions can be calculated, the outer loss cost caused by selling batteries with one watt-hour of electric quantity in different index dimensions can be represented, and the analysis and control of the battery outer loss cost by manufacturers are facilitated.
In some embodiments, the analyzing the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to the target index dimension further includes: responding to a target index dimension analysis instruction of a user, and carrying out statistical calculation on battery external loss cost and delivery volume of the battery external loss data under the target index dimension; and taking the ratio of the battery external damage cost and the shipment volume in the target index dimension as the battery external damage cost calculation result.
The battery external damage condition of index dimension expected by the user can be obtained, the requirements of different users can be met, and the method has strong operability.
In some embodiments, the analyzing the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to the target index dimension further includes: and obtaining the calculation result of the outer loss cost homonymy and the ring ratio data in the target index dimension based on the outer loss data in the target index dimension and the historical outer loss data in the target index dimension.
By calculating the external loss cost same ratio and the ring ratio data under the target index dimension, the change trend of the battery external loss cost under a certain index dimension can be reflected more clearly, so that the cost control is facilitated.
In some embodiments, the method further comprises: calculating the battery external loss cost of each index dimension in a preset time period based on the historical battery external loss data; and predicting the battery external loss cost based on the battery external loss cost of each index dimension in a preset time period.
Therefore, the prediction of the battery external damage cost can be realized, and the control of the battery external damage cost is more facilitated.
In a second aspect, there is also provided a battery external loss data processing system, including: the external damage data management module is used for classifying the battery external damage data based on a preset index dimension to obtain a structured data form; and the external loss data analysis module is used for analyzing and processing the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to a target index dimension, wherein the target index dimension comprises one or more index dimensions in the plurality of index dimensions.
The battery external damage data processing system provided by the embodiment of the application can realize the efficient management of the battery external damage data, can analyze the external damage cost from different index dimensions, improves the calculation accuracy of the battery external damage cost, is further favorable for finding out the reason of high battery external damage cost, and further reduces the external damage.
In a third aspect, there is also provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor running the computer program to implement the method of the first aspect.
In a fourth aspect, there is also provided a computer readable storage medium having stored thereon a computer program for execution by a processor to perform the method of any of the first aspects.
The foregoing description is only an overview of the technical solutions of the embodiments of the present application, and may be implemented according to the content of the specification, so that the technical means of the embodiments of the present application can be more clearly understood, and the following specific embodiments of the present application will be more specifically described below.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the embodiments. The drawings are only for the purpose of illustrating embodiments of the application and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the accompanying drawings.
FIG. 1 illustrates a flow diagram of steps of a method of battery external damage data processing in accordance with one or more embodiments;
FIG. 2 illustrates a flowchart of steps for analyzing battery loss data in a structured data form, in accordance with one or more embodiments;
FIG. 3 illustrates a schematic diagram of a battery external loss data processing system in accordance with one or more embodiments;
FIG. 4 illustrates another structural schematic of a battery external loss data processing system in accordance with one or more embodiments;
FIG. 5 illustrates a block diagram of an electronic device in accordance with one or more embodiments;
FIG. 6 illustrates a schematic diagram of a storage medium in accordance with one or more embodiments.
Detailed Description
Embodiments of the technical scheme of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present application, and thus are merely examples, and are not intended to limit the scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description of the application and the claims and the description of the drawings above are intended to cover a non-exclusive inclusion.
In the description of embodiments of the present application, the technical terms "first," "second," and the like are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present application, the meaning of "plurality" is two or more unless explicitly defined otherwise.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The battery external damage data includes various data related to the battery external damage cost, namely the cost of the battery products such as lithium batteries paid for claims, maintenance, replacement or credit damage generated by product quality problems during the process of delivering the battery products from a delivery warehouse to an external warehouse and during the quality guarantee period after sales. For example, the battery external damage data includes a project name for generating external damage cost, a time for counting the external damage cost, a fault type for generating the external damage cost, a production base for generating the external damage cost, and the like, and data related to the battery external damage cost.
At present, accounting of battery external loss cost is generally performed by manually counting financial data, and along with expansion of production scale, the traditional manual accounting mode cannot cope with accounting of mass data, and the traditional manual accounting mode is single and is only used for counting total financial number, so that management and expansion analysis of data cannot be realized.
Based on the above consideration, in order to solve the problem of low efficiency of calculating the external damage cost in the battery industry, the embodiment of the application provides a battery external damage data processing method, which classifies battery external damage data through preset index dimensions to obtain a structured data form, so that efficient management of the battery external damage data in the structured data form can be realized, analysis processing is performed on the battery external damage data in the structured data form to obtain a battery external damage cost calculation result corresponding to a target index dimension, the external damage cost can be analyzed from different index dimensions, the calculation accuracy of the battery external damage cost is improved, further, the finding of the reason of high battery external damage cost is facilitated, and the external damage is further reduced.
The battery external damage data processing method of the embodiment of the application can be used for processing external damage data of a lithium battery, and can also be used in the battery fields of a graphene battery, a lead-acid battery, a sodium ion battery or a magnesium ion battery and the like. For convenience of description, the following examples will take lithium batteries as examples of the battery external damage data processing method according to an embodiment of the present application.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for processing battery external loss data according to some embodiments of the present application. The battery external damage data processing method comprises the following steps S101-S102:
s101, classifying the battery external damage data based on preset index dimensions to obtain a structured data form.
The index dimension refers to battery external damage data of different angles, for example, the battery external damage data can be divided into a plurality of dimensions, and index names of different dimensions include but are not limited to: customer abbreviations, project names, product lines, project phases, customer uses, shipment product types, product structures, cell systems, cell capacities, responsible parties, responsible departments, fault types, production bases, fault part types, fault names, structures to which fault parts belong, structure levels to which fault parts belong, problem occurrence places and other dimensions.
According to some embodiments of the present application, classifying the battery external loss data based on preset index dimensions may construct an index system by setting a plurality of index dimensions, where the index system includes the battery external loss data indexes of the different dimensions, and when cost analysis is required for a certain period of time or for battery external loss data of a certain item, classifying the battery external loss data based on the index system, and obtaining a structured data form after classification, where the structured data form is a bottom data source for subsequent battery external loss data analysis and battery external loss cost calculation. Therefore, the standardized and structured management of the battery external loss data can be realized, and the processing efficiency of the battery external loss data is greatly improved.
According to some embodiments of the present application, battery external damage data may be manually entered, and the battery external damage data may be entered in the form of work orders and claim orders, and the contents recorded in the work orders and claim orders may include time, place, product category, description of the problem, initial responsibility, and estimated cost of external damage, etc. that generate the fault problem. After the battery external damage data is input, the battery external damage data can be further classified according to different index dimensions in the constructed index system, so that a structured data form is obtained, wherein the structured data form can be a plurality of tables comprising the index dimensions and specific data.
According to some embodiments of the present application, when classifying the battery damage data based on the preset index dimension, the cost subjects generating the battery damage fee may also be classified to facilitate cost accounting. The cost subjects may include maintenance cost, detection cost, quality improvement cost, and claim cost, and classifying the battery external damage data according to the cost subjects may be beneficial to the battery manufacturer to find the cost subjects with higher external damage cost, so as to be beneficial to improvement.
S102, analyzing and processing the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to the target index dimension.
According to some embodiments of the application, the target index dimension comprises one or more index dimensions of a plurality of index dimensions. For example, the target index dimension may be one or more dimensions of customer abbreviation, project name, product line, project stage, customer use, shipment product type, product structure, cell architecture, cell capacity, responsible party, responsible department, fault type, production base, fault part type, fault name, structure to which the fault part belongs, structure hierarchy to which the fault part belongs, problem place.
The analysis processing of the battery external loss data in the structured data form may include calculating a battery external loss cost based on the battery external loss data, thereby obtaining a battery external loss cost calculation result corresponding to the target index dimension, which is beneficial to analyzing and comparing the reasons for generating high battery external loss cost from different angles.
The battery external damage data is classified through the preset index dimension to obtain a structured data form, so that efficient management of the battery external damage data can be realized, the battery external damage data in the structured data form is analyzed and processed to obtain a battery external damage cost calculation result corresponding to the target index dimension, the external damage cost can be analyzed from different index dimensions, the calculation accuracy of the battery external damage cost is improved, further, the finding of the reason of high battery external damage cost is facilitated, and the external damage is further reduced.
According to some embodiments of the present application, the battery external loss data in the structured data form is analyzed to obtain a battery external loss cost calculation result corresponding to the target index dimension, and fig. 2 is a flowchart of steps for analyzing the battery external loss data in the structured data form according to some embodiments of the present application. Referring to fig. 2, the method includes the following steps S201 to S204:
And S201, calculating the battery external loss cost of the battery external loss data of all index dimensions in the structured data form.
For example, if the index dimensions of the battery external loss data in the current structured data form include project names, cell systems, responsibility departments, fault types, production bases and fault part types, external loss cost charges in each index dimension are calculated, and external loss cost charges in each index dimension category are obtained.
For example, if the first index dimension is the production base, in S201, the battery external damage costs of the multiple production bases can be obtained, and by comparing the battery external damage cost conditions of each base, the production base with the highest external damage cost can be obtained, which is further beneficial to improving the battery external damage cost conditions of the production base.
And S202, taking the index dimension of which the battery external loss cost is higher than a preset value as a first index dimension.
The preset value can be set according to the actual production cost budget, and can also be set by historical battery external loss cost data. When the cost of the battery external damage is higher than a preset value, the generated cost of the external damage is more, and the control is needed, and at the moment, the index dimension of the battery external damage cost higher than the preset value is used as the first index dimension.
And S203, analyzing the correlation between the battery external loss data with different index dimensions to obtain a second index dimension with the correlation with the first index dimension larger than a preset correlation threshold.
Optionally, the correlation between the battery external loss data in different index dimensions can be analyzed by establishing a correlation analysis model, taking the battery external loss data in different index dimensions as input, adopting a spearman correlation analysis algorithm to analyze the correlation between different field data, taking the correlation of the battery external loss data in different index dimensions as output, and obtaining the index dimension with the first index dimension correlation larger than a preset correlation threshold as a second index dimension, wherein the second index dimension can be one or a plurality of, and further, a plurality of index dimensions with high battery external loss cost can be obtained.
For example, the first index dimension is a production base, the second index dimension is a battery cell system and a responsibility department, and the index dimension which leads to the higher external loss cost of the current battery is the production base, the battery cell system and the responsibility department, so that the method is beneficial for relevant technicians to improve pertinently from the index dimension which represents the higher external loss cost of the battery, and is beneficial for reducing the external loss cost of the battery.
S204, taking the first index dimension and the second index dimension as target index dimensions, and outputting a battery damage cost calculation result of the target index dimensions.
As can be seen from steps S202 to S203, the first index dimension and the second index dimension are index dimensions representing a higher battery external loss cost, and the first index dimension and the second index dimension are used as target index dimensions to output a battery external loss cost calculation result of the target index dimensions, which can be more beneficial to reducing the battery external loss cost.
And according to the correlation between the battery external loss data of different index dimensions, obtaining a second index dimension with larger correlation with the first index dimension, and then obtaining all index dimensions with higher external loss cost of the representation battery as target index dimensions, and further outputting a battery external loss cost calculation result of the target index dimensions, thereby being beneficial to the improvement of the battery external loss cost by relevant technicians from the target index dimensions in a targeted manner, and further being beneficial to reducing the battery external loss cost.
According to some embodiments of the application, the analysis processing of the battery external loss data in the structured data form comprises: and carrying out statistical calculation on the battery external damage cost in the battery external damage data, and carrying out statistical calculation on the shipment volume in the battery external damage data.
It can be understood that the number of the battery cores of different batteries may be different, so that the total electric quantity of the battery cores of different batteries is also different, and in order to better reflect the relationship between the battery external loss cost and the battery electric quantity, the output in the embodiment of the application is the total electric quantity of the battery cores, and the unit is watt-hour.
The battery external damage cost in the battery external damage data is calculated by statistics, the battery external damage cost under each index dimension can be calculated by statistics calculation of the shipment volume, the ratio of the battery external damage cost under a certain index dimension to the shipment volume can be calculated, and the ratio of the battery external damage cost to the shipment volume can represent the external damage cost brought by the battery selling the electric quantity at each watt hour because the shipment volume is the total electric quantity of the battery core, thereby being beneficial to the analysis and control of the battery external damage cost by manufacturers.
According to some embodiments of the application, performing a statistical calculation of a battery external loss cost in battery external loss data includes: and carrying out statistical calculation on the battery external damage cost in the battery external damage data according to any one or more index dimensions of the service class, the cost occurrence time and the problem class of the external damage cost.
The statistics calculation of the battery outer loss cost of the service class dimension can be performed from four dimensions of after-sale correction, maintenance work orders, quality assurance (quality assurance, QA) correction and quality claim, wherein the four dimensions comprise the fact that the battery reaches the outer bin from a delivery bin and most of problems in a quality assurance period after sale, and the statistics of the battery outer loss cost from different service class dimensions can also reflect the service with higher outer loss cost, so that correction of the service with higher outer loss cost is facilitated, and the outer loss cost is reduced.
The battery external damage cost in the battery external damage data is calculated based on the cost occurrence time, so that the battery external damage cost generated in a certain period of time can be represented, and the prediction of the change trend of the battery external damage cost can be facilitated.
The problem category based on the cost of external damage can be the type of fault part, the place where the problem occurs, etc., so that a technician can locate a specific index dimension for generating the cost of external damage of high-capacity batteries, if the cost of external damage of the batteries generated by the batteries sent from a warehouse in a certain area is obviously higher than that of the batteries in other areas, the important detection can be carried out on the batteries in the area, so as to reduce the cost of external damage of the batteries.
According to the embodiment of the application, the battery external damage cost in the battery external damage data is calculated according to any one or more index dimensions of the service class, the cost occurrence time and the problem class of the external damage cost, so that the battery external damage cost with different index dimensions can be obtained, and the reasons of the high battery external damage cost can be analyzed from multiple aspects.
According to some embodiments of the application, the statistical calculation of the shipment in the battery external loss data includes: and carrying out statistical calculation on the shipment quantity in the battery external loss data according to any one or more index dimensions of a production base, a shipment date, customer short, product types, product lines, a chemical system and battery core capacity of the battery. Therefore, the shipment volume under different index dimensions can be obtained, so that the ratio of the battery outer loss cost to the shipment volume under different index dimensions can be calculated, the outer loss cost caused by selling batteries with one watt-hour of electric quantity in different index dimensions can be represented, and the analysis and control of the battery outer loss cost by manufacturers are facilitated.
According to some embodiments of the present application, the method further includes: and responding to a target index dimension analysis instruction of a user, carrying out statistical calculation on the battery external loss cost and the shipment volume of the battery external loss data in the target index dimension, and taking the ratio of the battery external loss cost and the shipment volume in the target index dimension as a battery external loss cost calculation result.
In steps S201 to S204, the target index dimension is obtained by comparing and analyzing the battery external loss cost under different index dimensions and the correlation between the battery external loss data of different index dimensions, so that the target index dimension can be accurately calculated, and because the index dimensions expected by different demand parties are different, for example, the index dimension requirement of the battery product line can be a specific product angle such as a battery cell system, a battery cell capacity, a fault type, a fault part type, a fault name, etc., and the expected index dimension can be an index dimension such as customer abbreviation, project name, project stage, customer use, etc., for the after-sales maintenance, therefore, in order to meet the requirements of different demand parties, the embodiment of the application can also receive the target index dimension analysis instruction of the user, and the target index dimension analysis instruction can be sent by the user through operating the intelligent terminal.
In one example, the embodiment of the application can provide an operation interface through the intelligent terminal, the operation interface is provided with an operation control, a user can select fields representing different index dimensions through the operation control, for example, the fields representing the index dimensions are selected through a drop-down selection box, statistical results can be displayed through the operation interface, and the statistical results can be presented in a form or a graph.
According to the embodiment of the application, the battery external damage cost and the shipment volume of the battery external damage data under the target index dimension are calculated statistically in response to the target index dimension analysis instruction of the user, and the ratio of the battery external damage cost and the shipment volume under the target index dimension is used as the battery external damage cost calculation result, so that the battery external damage condition of the index dimension expected by the user can be obtained, the requirements of different users can be met, and the method has strong operability.
According to some embodiments of the present application, the method further includes: and obtaining the calculation result of the outer loss cost homonymy and the ring ratio data under the target index dimension based on the outer loss data under the target index dimension and the historical outer loss data under the target index dimension.
For example, if the target index dimension is that the cost occurrence time is within one year, the battery external damage cost homonymy and the ring ratio of one year are calculated according to the battery external damage total cost of the current year and the battery external damage total cost of the previous year.
By calculating the external loss cost same ratio and the ring ratio data under the target index dimension, the change trend of the battery external loss cost under a certain index dimension can be reflected more clearly, so that the cost control is facilitated.
According to some embodiments of the application, the battery external loss data processing method further comprises: and calculating the battery external loss cost of each index dimension in a preset time period based on the historical battery external loss data, and predicting the battery external loss cost based on the battery external loss cost of each index dimension in the preset time period.
For example, based on the historical battery damage data of the current year, the battery damage cost corresponding to the battery of the production base A of each month is obtained, and based on the battery damage cost corresponding to the battery of the production base A of each month, the battery damage cost corresponding to the battery of the production base A of the next month is predicted, so that the prediction of the battery damage cost can be realized, and the control of the battery damage cost is more facilitated.
In a specific example, a method for processing battery external loss data is provided, which may be executed by a server and may specifically include:
according to dimensions such as customer abbreviations, project names, product lines, project stages, customer uses, shipment product types, product structures, battery cell systems, battery cell capacities, responsible parties, responsible departments, fault types, production bases, fault part types, fault names, structures of fault parts, structure levels of fault parts, problem occurrence places and the like, an index system is constructed, battery external loss data are obtained, the battery external loss data are classified through preset index dimensions in the index system, a structured data form is obtained, and efficient management of the battery external loss data can be achieved. And carrying out battery external damage cost calculation on battery external damage data of all index dimensions in the structured data form to obtain a production base with highest external damage cost, so that the battery external damage cost condition of the production base is improved, the index dimensions with the battery external damage cost higher than a preset value are used as first index dimensions, the correlation among the battery external damage data of different index dimensions is analyzed to obtain second index dimensions with the correlation with the first index dimensions higher than a preset correlation threshold, and the second index dimensions can be one or a plurality of, so that a plurality of index dimensions with higher battery external damage cost can be obtained. For example, the first index dimension is a production base, the second index dimension is a battery cell system and a responsibility department, and the index dimension which leads to the higher external loss cost of the current battery is the production base, the battery cell system and the responsibility department, so that the method is beneficial for relevant technicians to improve pertinently from the index dimension which represents the higher external loss cost of the battery, and is beneficial for reducing the external loss cost of the battery. The first index dimension and the second index dimension are used as target index dimensions, and the battery external damage cost calculation result of the target index dimensions is output, so that automatic calculation of the index dimensions for generating high battery external damage cost can be realized, and improvement of the battery external damage cost is facilitated for relevant technicians from the target index dimensions, and further reduction of the battery external damage cost is facilitated.
The method comprises the steps of analyzing and processing battery external loss data in a structured data form, and simultaneously carrying out statistical calculation on battery external loss cost and shipment volume in the battery external loss data. The ratio of the battery external loss cost to the shipment volume under a certain index dimension can be calculated, and the ratio of the battery external loss cost to the shipment volume can represent the external loss cost caused by selling the battery with one watt-hour of electric quantity because the shipment volume is the total electric quantity of the battery core, thereby being beneficial to the analysis and control of the battery external loss cost by manufacturers.
In order to meet the requirements of different demanding parties, the embodiment of the application can provide an operation interface through the intelligent terminal, a user selects fields representing different index dimensions through operation controls, for example, a field is selected through a drop-down selection box, statistics are selected, the operation interface can display the statistics, and the statistics can be presented in a form or a graph. Selectable statistics of the operator interface in embodiments of the present application include, but are not limited to, counting, averaging, summing, percentile, homomorphic/cyclic ratio, variance/standard deviation/covariance, and the like.
In one example, the embodiment of the application can also excavate the relationship among different index dimensions through the modes of hypothesis test, correlation analysis, multidimensional regression analysis, factor/principal component analysis, covariance analysis, cluster analysis, structural equation model, association rule mining Apriori algorithm and the like so as to conduct data mining on the battery external loss data, thereby being beneficial to finding out the reason causing higher battery external loss cost.
The battery external damage data processing method provided by the embodiment of the application can realize standardized and structured management of the battery external damage data, greatly improve the processing efficiency of the battery external damage data, analyze the external damage cost from different index dimensions, improve the calculation accuracy of the battery external damage cost, and further be beneficial to finding out the reason of high battery external damage cost and further reduce the external damage.
Fig. 3 is a schematic structural diagram of a battery external loss data processing system according to some embodiments of the present application, referring to fig. 3, according to some embodiments of the present application, a battery external loss data processing system 300 is provided, which includes:
and the external damage data management module 301 is configured to classify the battery external damage data based on a preset index dimension, so as to obtain a structured data form.
The external loss data analysis module 302 is configured to analyze and process the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to a target index dimension, where the target index dimension includes one or more index dimensions of the plurality of index dimensions.
Fig. 4 is another schematic structural diagram of a battery external loss data processing system according to some embodiments of the present application, referring to fig. 4, the external loss data analysis module 302 further includes a correlation analysis module 303, where the correlation analysis module 303 is configured to perform battery external loss cost calculation on battery external loss data of all index dimensions in a structured data form, take an index dimension with a battery external loss cost higher than a preset value as a first index dimension, analyze correlations between battery external loss data of different index dimensions, obtain a second index dimension with a correlation with the first index dimension greater than a preset correlation threshold, take the first index dimension and the second index dimension as target index dimensions, and output a battery external loss cost calculation result of the target index dimension.
The external damage data analysis module 302 further includes a cost accounting module 304 and an index analysis module 305, where the cost accounting module 304 is configured to perform statistical calculation on the battery external damage cost in the battery external damage data; and carrying out statistical calculation on the shipment quantity in the battery external loss data, wherein the shipment quantity is the total electric quantity of the battery core of the battery.
The cost accounting module 304 is further configured to perform statistical calculation on the battery external loss cost in the battery external loss data according to any one or more index dimensions of a service class, a cost occurrence time, and a problem class that generate the external loss cost.
The cost accounting module 304 is further configured to perform statistical calculation on the shipment volume in the battery external damage data according to any one or more index dimensions of a production base, a shipment date, a customer abbreviation, a product category, a product line, a chemical system, and a battery capacity of the battery.
In one example, the cost accounting module 304 is further configured to perform statistical calculation on the battery external loss cost and the shipment of the battery external loss data in the target index dimension in response to the target index dimension analysis instruction of the user, and use the ratio of the battery external loss cost and the shipment in the target index dimension as the battery external loss cost calculation result.
In one example, the cost accounting module 304 is further configured to obtain the calculation result of the outer loss cost homonym and the ring ratio data in the target index dimension based on the outer loss data in the target index dimension and the historical outer loss data in the target index dimension.
In one example, the indicator analysis module 305 is further configured to calculate a battery external loss cost for each indicator dimension within a preset time period based on the historical battery external loss data, and predict the battery external loss cost based on the battery external loss cost for each indicator dimension within the preset time period.
The battery external damage data processing system provided by the embodiment of the application can realize standardized and structured management of the battery external damage data, greatly improve the processing efficiency of the battery external damage data, analyze the external damage cost from different index dimensions, improve the calculation accuracy of the battery external damage cost, and further be beneficial to finding out the reason of high battery external damage cost and further reduce the external damage.
The foregoing description of various embodiments is intended to highlight differences between the various embodiments, which may be the same or similar to each other by reference, and is not repeated herein for the sake of brevity.
Fig. 5 is a schematic structural diagram of an electronic device according to some embodiments of the present application, and referring to fig. 5, an electronic device includes a memory, a processor, and a computer program stored on the memory and capable of running on the processor, where the processor runs the computer program to implement the method for processing battery external loss data.
As shown in fig. 5, the electronic device 50 includes: a processor 500, a memory 501, a bus 502 and a communication interface 503, the processor 500, the communication interface 503 and the memory 501 being connected by the bus 502; the memory 501 stores a computer program executable on the processor 500, and the processor 500 executes the method according to any of the foregoing embodiments of the present application when the computer program is executed.
The memory 501 may include a high-speed random access memory (RAM: random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the system network element and at least one other network element is implemented via at least one communication interface 503 (which may be wired or wireless), the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
Bus 502 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. The memory 201 is configured to store a program, and the processor 500 executes the program after receiving an execution instruction, and the method for processing battery external loss data disclosed in any of the foregoing embodiments of the present application may be applied to the processor 500 or implemented by the processor 500.
The processor 500 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuitry in hardware or instructions in software in the processor 500. The processor 500 may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but may also be a Digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 501, and the processor 500 reads the information in the memory 501, and in combination with its hardware, performs the steps of the method described above.
The electronic equipment provided by the embodiment of the application and the battery external damage data processing method provided by the embodiment of the application have the same beneficial effects as the method adopted, operated or realized by the electronic equipment are in the same application conception.
The embodiment of the present application further provides a computer readable storage medium corresponding to the battery external damage data processing method provided in the foregoing embodiment, referring to fig. 6, the computer readable storage medium is shown as an optical disc 60, on which a computer program (i.e. a program product) is stored, where the computer program, when executed by a processor, performs the battery external damage data processing method provided in any of the foregoing embodiments.
It should be noted that examples of the computer readable storage medium may also include, but are not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical or magnetic storage medium, which will not be described in detail herein.
The computer readable storage medium provided by the above embodiment of the present application has the same beneficial effects as the method adopted, operated or implemented by the application program stored in the computer readable storage medium, because of the same application conception as the method for processing the battery external damage data provided by the embodiment of the present application.
It should be noted that:
the term "module" is not intended to be limited to a particular physical form. Depending on the particular application, modules may be implemented as hardware, firmware, software, and/or combinations thereof. Furthermore, different modules may share common components or even be implemented by the same components. There may or may not be clear boundaries between different modules.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may also be used with the examples herein. The required structure for the construction of such devices is apparent from the description above. In addition, the present application is not directed to any particular programming language. It will be appreciated that the teachings of the present application described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present application.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing examples merely illustrate embodiments of the application and are described in more detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
It should be noted that:
in the above text, 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. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above embodiments, which are merely illustrative, not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.
Claims (11)
1. A method for processing battery external damage data, the method comprising:
classifying the battery external damage data based on a preset index dimension to obtain a structured data form;
and analyzing and processing the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to target index dimensions, wherein the target index dimensions comprise one or more index dimensions.
2. The method of claim 1, wherein analyzing the battery loss data in the structured data form to obtain a battery loss cost calculation corresponding to a target index dimension comprises:
calculating the battery external loss cost of the battery external loss data of all index dimensions in the structured data form;
taking the index dimension of the battery external loss cost higher than a preset value as a first index dimension;
analyzing the correlation between the battery external loss data with different index dimensions to obtain a second index dimension with the correlation with the first index dimension larger than a preset correlation threshold;
and taking the first index dimension and the second index dimension as the target index dimension, and outputting a battery external loss cost calculation result of the target index dimension.
3. The method of claim 1 or 2, wherein analyzing the battery loss data in the structured data form comprises:
carrying out statistical calculation on the battery external loss cost in the battery external loss data; and
and carrying out statistical calculation on the shipment quantity in the battery external loss data, wherein the shipment quantity is the total electric quantity of the battery core of the battery.
4. A method according to claim 3, wherein the calculating of the battery external loss cost in the battery external loss data comprises:
and carrying out statistical calculation on the battery external damage cost in the battery external damage data according to any one or more index dimensions of the service class, the cost occurrence time and the problem class of the external damage cost.
5. A method according to claim 3, wherein statistically calculating the amount of shipment in the battery damage data comprises:
and carrying out statistical calculation on the shipment quantity in the battery external loss data according to any one or more index dimensions of a production base, a shipment date, customer short, product types, product lines, a chemical system and battery core capacity of the battery.
6. The method according to claim 1 or 2, wherein the analyzing the battery external loss data in the structured data form to obtain the battery external loss cost calculation result corresponding to the target index dimension further comprises:
Responding to a target index dimension analysis instruction of a user, and carrying out statistical calculation on battery external loss cost and delivery volume of the battery external loss data under the target index dimension;
and taking the ratio of the battery external damage cost and the shipment volume in the target index dimension as the battery external damage cost calculation result.
7. The method of claim 6, wherein analyzing the battery loss data in the structured data form to obtain a battery loss cost calculation corresponding to a target index dimension, further comprises:
and obtaining the calculation result of the outer loss cost homonymy and the ring ratio data in the target index dimension based on the outer loss data in the target index dimension and the historical outer loss data in the target index dimension.
8. The method according to claim 1, wherein the method further comprises:
calculating the battery external loss cost of each index dimension in a preset time period based on the historical battery external loss data;
and predicting the battery external loss cost based on the battery external loss cost of each index dimension in a preset time period.
9. A battery external damage data processing system, comprising:
The external damage data management module is used for classifying the battery external damage data based on a preset index dimension to obtain a structured data form;
and the external loss data analysis module is used for analyzing and processing the battery external loss data in the structured data form to obtain a battery external loss cost calculation result corresponding to a target index dimension, wherein the target index dimension comprises one or more index dimensions in the index dimension.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor running the computer program to implement the method of any one of claims 1-8.
11. A computer readable storage medium having stored thereon a computer program, wherein the program is executed by a processor to implement the method of any of claims 1-8.
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Application publication date: 20231201 |