CN117078113A - Outdoor battery production quality management system based on data analysis - Google Patents
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Abstract
The invention belongs to the technical field of battery production supervision, in particular to an outdoor battery production quality management system based on data analysis, which comprises a quality management platform, a performance detection analysis module, a supervision rationality evaluation module, an equipment management analysis module and a environmental control detection analysis module; according to the invention, the quality condition of the outdoor battery can be effectively detected, accurately and reasonably estimated by analyzing to judge whether the target battery is a qualified battery or a non-qualified battery, the production rationality of the outdoor battery is judged by analyzing based on the material scrapping data and the battery performance judging information in the production process of the outdoor battery, and the battery management system has the function of diagnosing and feeding back abnormal reasons when judging that the production rationality is abnormal, thereby being beneficial to management personnel of an outdoor battery production line to carry out production supervision and subsequent management measure adjustment, effectively improving the product quality of the outdoor battery and reducing the production management difficulty.
Description
Technical Field
The invention relates to the technical field of battery production supervision, in particular to an outdoor battery production quality management system based on data analysis.
Background
The outdoor battery is a battery specially designed for outdoor exercises, mainly aims to meet the use requirements of communication equipment, cameras, electronic GPS (global positioning system) and other equipment in outdoor exercises, and comprises a motor home energy storage power supply which is suitable for motor home, medical equipment, mechanical equipment, electric tools, electric vehicles, yachts and the like, and is an electric power system, and the outdoor battery generally comprises a battery and an inverter and can convert direct current into alternating current for various equipment in the motor home;
at present, the outdoor battery production line is mainly used for carrying out batch production of the outdoor battery, but the produced outdoor battery is difficult to effectively detect, accurately and reasonably evaluate the quality condition of the outdoor battery in the running process of the outdoor battery production line, the production rationality of the outdoor battery cannot be judged based on the battery production condition of the corresponding production period, and abnormal reason diagnosis and feedback cannot be carried out when the production rationality is judged to be abnormal, so that the production supervision and subsequent management measure adjustment by management personnel of the outdoor battery production line are not facilitated, and the product quality is difficult to effectively improve;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an outdoor battery production quality management system based on data analysis, which solves the problems that in the prior art, the produced outdoor battery is difficult to effectively detect, accurately and reasonably evaluate the quality condition of the produced outdoor battery, the production rationality of the produced outdoor battery cannot be judged based on the battery production condition of corresponding production time periods, and abnormal cause diagnosis and feedback cannot be carried out when the production rationality is judged to be abnormal, so that the product quality is difficult to effectively improve, and the management difficulty is difficult to reduce.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the outdoor battery production quality management system based on data analysis comprises a quality management platform, a performance detection analysis module, a supervision rationality evaluation module, an equipment management analysis module and a environmental control detection analysis module;
the performance detection analysis module obtains all the outdoor batteries to be detected, marks the corresponding outdoor batteries as target batteries i, i= {1,2, …, n }, wherein n represents the number of the outdoor batteries to be detected and n is a natural number greater than 1; detecting and analyzing the performance condition of the target battery i, judging whether the target battery i is a qualified battery or a non-qualified battery according to the performance condition, and sending the performance judgment information of the target battery i to a quality management platform for storage; the supervision rationality assessment module analyzes the material scrapping data and the battery performance judgment information in the outdoor battery production process so as to generate a supervision rationality normal signal or a supervision rationality abnormal signal and send the supervision rationality normal signal or the supervision rationality abnormal signal to the quality management platform;
when the quality management platform receives the supervision rationality abnormal signal, acquiring production efficiency data of a corresponding outdoor battery production line, and comparing the production efficiency data with a preset production efficiency data threshold value in a numerical mode; if the production efficiency data exceeds a preset production efficiency data threshold, generating an efficiency abnormal signal and sending the efficiency abnormal signal to a supervision terminal, otherwise, sending a supervision rationality abnormal signal to an equipment management analysis module;
the equipment management and control analysis module analyzes production equipment corresponding to the outdoor battery production line when receiving the supervision rationality abnormal signal, so as to generate an equipment management and control abnormal signal or an equipment management and control normal signal, the equipment management and control abnormal signal is sent to the supervision terminal through the quality management platform, and the equipment management and control normal signal is sent to the environmental control detection and analysis module through the quality management platform; and when the environmental control detection analysis module receives the equipment management normal signal, the environmental control detection analysis module analyzes the production environment of the corresponding outdoor battery production line, so as to generate an environmental control abnormal signal or an environmental control normal signal, and the environmental control abnormal signal is sent to the supervision terminal through the quality management platform.
Further, the specific operation process of the performance detection and analysis module comprises the following steps:
acquiring battery capacity deviation data and battery internal resistance superamplitude data of a target battery i, respectively carrying out numerical comparison on the battery capacity deviation data and the battery internal resistance superamplitude data with a preset battery capacity deviation data threshold value and a battery internal resistance superamplitude data threshold value, and judging that the quality of the target battery i does not reach the standard if the battery capacity deviation data or the battery internal resistance superamplitude data exceeds the corresponding preset threshold value;
if the battery capacity deviation data and the battery internal resistance super-amplitude data do not exceed the corresponding preset threshold values, acquiring charge rate data, charge efficiency data, discharge duration data and discharge efficiency data of the target battery i, and carrying out normalization calculation on the charge rate data, the charge efficiency data, the discharge duration data and the discharge efficiency data to obtain charge and discharge performance values of the target battery i; and comparing the charge-discharge performance value with a preset charge-discharge performance threshold value, and if the charge-discharge performance value does not exceed the preset charge-discharge performance threshold value, judging that the quality of the target battery i does not reach the standard.
Further, if the charge-discharge performance value exceeds the charge-discharge performance threshold, acquiring self-discharge rate data of the target battery i, performing numerical comparison on the self-discharge rate data and a preset self-discharge rate data threshold, and if the self-discharge rate data exceeds the preset self-discharge rate data threshold, judging that the quality of the target battery i does not reach the standard; if the self-discharge rate data does not exceed the preset self-discharge rate data threshold value, acquiring a battery safety value DQi of the target battery i through battery safety performance analysis; comparing the battery safety value DQi with a preset battery safety threshold value, and judging that the quality of the target battery i does not reach the standard if the battery safety value DQi exceeds the preset battery safety threshold value; if the battery safety value DQi does not exceed the preset battery safety threshold value, judging that the quality of the target battery i meets the standard; and marking the target battery i as a qualified battery when the quality of the target battery i is judged to be up to standard, and marking the target battery i as a non-qualified battery when the quality of the target battery i is judged to be not up to standard.
Further, the specific analysis process of the battery safety performance analysis is as follows:
acquiring the time when the target battery i starts overcharging and the time when the target battery i automatically stops charging when the target battery i is detected, calculating the time difference between the time when the target battery i automatically stops charging and the time when the target battery i starts overdischarging and the time when the target battery i automatically stops discharging, and calculating the time difference between the time when the target battery i automatically stops discharging and the time when the target battery i starts overdischarging to obtain overdischarging detection data; the time difference between the time of automatically cutting off the current and the time of generating the short circuit is calculated to obtain short circuit detection data; performing numerical calculation on the overcharge detection data, the overdischarge detection data and the short circuit detection data to obtain risk prevention data FYI of the target battery i;
the safety auxiliary table coefficient AFi of the target battery i is obtained through safety auxiliary table analysis; and obtaining a battery safety value DQi of the target battery i through analysis and calculation of a formula DQi=a1 x FYI+a2 x AFi, wherein a1 and a2 are preset weight coefficients, and a1 is more than a2 is more than 0.
Further, the specific analysis process of the security auxiliary table analysis is as follows:
collecting voltage data of a plurality of detection time points of the target battery i in the charging and discharging process, carrying out mean value calculation and variance calculation on all the voltage data to obtain average voltage data and fluctuation voltage data, and carrying out difference calculation on the average voltage data compared with a preset standard charging and discharging voltage value of the average voltage data to obtain voltage expression data; the average temperature data of the target battery i in the charging and discharging process is collected and marked as temperature expression data, the time length ratio of the target battery i exceeding a preset standard temperature value in the charging and discharging process is marked as temperature superfeedback data, and the voltage expression data, the fluctuation voltage data, the temperature expression data and the temperature superfeedback data are subjected to numerical calculation to obtain An Quanfu table coefficient AFi.
Further, the specific operation process of the supervision rationality evaluation module comprises:
collecting material scrapping data in the outdoor battery production process, collecting qualified battery quantity and non-standard battery quantity, and calculating the ratio of the non-standard battery quantity to the qualified battery quantity to obtain a quality anomaly coefficient; performing numerical calculation on the quality anomaly coefficient and the material scrapping data to obtain a supervision reasonable coefficient, and performing numerical comparison on the supervision reasonable coefficient and a preset supervision reasonable coefficient threshold; if the supervision rational coefficient does not exceed the preset supervision rational coefficient threshold, generating a supervision rational normal signal, and if the supervision rational coefficient exceeds the preset supervision rational coefficient threshold, generating a supervision rational abnormal signal.
Further, the specific analysis process of the device management analysis module includes:
acquiring all production equipment corresponding to an outdoor battery production line, acquiring maintenance frequency and maintenance time length of the corresponding production equipment in corresponding production time periods, summing all maintenance time lengths to obtain maintenance time and value, and performing numerical calculation on the maintenance time and value and the maintenance frequency to obtain maintenance coefficients of the corresponding production equipment; comparing the maintenance coefficients with a preset maintenance coefficient threshold value of corresponding production equipment to obtain maintenance excess values, marking the number of the production equipment, of which the maintenance coefficients do not exceed the corresponding preset maintenance coefficient threshold value, as weak management and control equipment values, carrying out summation calculation on the maintenance excess values of all the production equipment, and taking an average value to obtain maintenance representation values;
and respectively comparing the maintenance representation value and the weak control equipment value with a preset maintenance representation threshold value and a preset weak control equipment threshold value in numerical value, and generating an equipment control abnormal signal if the maintenance representation value does not exceed the preset maintenance representation threshold value or the weak control equipment value exceeds the preset weak control equipment threshold value.
Further, if the maintenance representation value exceeds a preset maintenance representation threshold value and the weak management and control equipment value does not exceed the preset weak management and control equipment threshold value, acquiring the fault occurrence frequency and the fault average recovery time length of the corresponding outdoor battery production line in the corresponding production period, and carrying out numerical calculation on the fault occurrence frequency and the fault average recovery time length to obtain an operation representation value; comparing the operation representation value with a preset operation representation threshold value, and generating a device management and control abnormal signal if the operation representation value exceeds the preset operation representation threshold value; and if the running performance value does not exceed the preset running performance threshold value, generating a device management and control normal signal.
Further, the specific operation process of the environmental control detection analysis module comprises the following steps:
the method comprises the steps of carrying out real-time environment detection analysis on a production area corresponding to an outdoor battery production line, judging whether production environment abnormality occurs according to the real-time environment detection analysis, collecting environment abnormality frequency of the outdoor battery production line in a corresponding production period, collecting time of each production environment abnormality and environment regulation recovery time, and subtracting the time of the corresponding production environment abnormality from the environment regulation recovery time to obtain ring regulation recovery time; summing all the ring tone recovery time lengths to obtain ring tone time and value, and carrying out numerical calculation on the ring tone time and value and the environment abnormal frequency to obtain a ring control detection value; comparing the numerical value of the ring control detection value with a preset ring control detection threshold value, and generating a ring control abnormal signal if the ring control detection value exceeds the preset ring control detection threshold value; if the loop control detection value does not exceed the preset loop control detection threshold value, generating a loop control normal signal.
Further, the specific analysis process of the real-time environment detection analysis is as follows:
acquiring production environment parameters affecting the quality of the outdoor battery, arranging a plurality of environment monitoring points in a production area corresponding to an outdoor battery production line, acquiring real-time data of production environment parameters corresponding to all environment monitoring points of the outdoor battery production line, and marking the corresponding environment monitoring points as environment abnormal points if the real-time data of the corresponding production environment parameters do not meet the corresponding preset real-time data range requirements; if an environment abnormal point exists in the production area corresponding to the outdoor battery production line, judging that the production environment of the outdoor battery production line is abnormal.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, all the outdoor batteries to be detected are obtained through the performance detection analysis module, the performance conditions of the corresponding outdoor batteries are detected and analyzed, so that the target batteries are judged to be qualified batteries or non-qualified batteries, the quality conditions of the outdoor batteries can be effectively detected, accurately and reasonably estimated, so that a supervisor can grasp the production quality conditions of the outdoor batteries in detail, and data support is provided for subsequent analysis; the supervision rationality assessment module analyzes the material scrapping data and the battery performance judgment information in the outdoor battery production process to generate a supervision rationality normal signal or a supervision rationality abnormal signal, and can judge the production rationality of the battery based on the battery production condition of the corresponding production period;
2. according to the invention, the efficiency analysis corresponding to the production period is carried out when the supervision rationality abnormal signal is generated, if the efficiency abnormal signal is not generated, the production equipment corresponding to the outdoor battery production line is analyzed, the relevance between the production equipment condition and the supervision rationality abnormal condition can be accurately judged, and the production environment corresponding to the outdoor battery production line is analyzed when the normal signal is managed and controlled by the production equipment, so that the relevance between the production environment condition and the supervision rationality abnormal condition can be accurately judged, and the system has the function of carrying out abnormality reason diagnosis and feedback when the production rationality abnormal condition is judged, and is beneficial to production supervision and subsequent management measure adjustment by management personnel of the outdoor battery production line, so that the product quality is effectively improved.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is an overall system block diagram of the present invention;
fig. 2 is a communication block diagram of a quality management platform and a supervision terminal in the present invention.
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.
Embodiment one: as shown in fig. 1-2, the outdoor battery production quality management system based on data analysis provided by the invention comprises a quality management platform, a performance detection analysis module and a supervision rationality evaluation module, wherein the quality management platform is in communication connection with the performance detection analysis module and the supervision rationality evaluation module; the performance detection analysis module obtains all outdoor batteries to be detected, and marks the corresponding outdoor batteries as target batteries i, i= {1,2, …, n }, wherein n represents the number of the outdoor batteries to be detected and n is a natural number greater than 1;
detecting and analyzing the performance condition of the target battery i, so as to judge whether the target battery i is a qualified battery or a non-qualified battery, and sending the performance judgment information of the target battery i to a quality management platform for storage, so that a supervisor can grasp the production quality condition of the outdoor battery in detail, and provide data support for subsequent analysis; the specific operation process of the performance detection and analysis module is as follows:
acquiring battery capacity deviation data and battery internal resistance superamplitude data of a target battery i, respectively carrying out numerical comparison on the battery capacity deviation data and the battery internal resistance superamplitude data with a preset battery capacity deviation data threshold value and a battery internal resistance superamplitude data threshold value, and judging that the quality of the target battery i does not reach the standard if the battery capacity deviation data or the battery internal resistance superamplitude data exceeds the corresponding preset threshold value;
if the capacity deviation data and the internal resistance superamplitude data of the battery do not exceed the corresponding preset thresholds, collecting the charging rate data, the charging efficiency data, the discharging duration data and the discharging efficiency data of the target battery i, wherein the charging rate data refers to the charging speed which reflects the charge receiving capacity of the battery, the charging speed is generally measured by the quantity of charged electricity in unit time, and the charging speed is faster, so that the charging performance of the battery is better; the charging efficiency data refers to the energy conversion efficiency of the battery in the charging process, namely the ratio of the energy actually received and stored by the battery to the input energy, and the higher the charging efficiency is, the better the charging performance of the battery is, and the stronger the energy storage capacity of the battery is;
the discharge time data refers to the continuous discharge time of the battery under a specific discharge current, and the longer the discharge time is, the better the discharge performance of the battery is, and the higher the service efficiency of the battery is; the discharge efficiency data refers to the energy conversion efficiency of the battery in the discharge process, namely the ratio of the energy actually output by the battery to the stored energy, and the higher the discharge efficiency is, the better the discharge performance of the battery is, and the higher the service efficiency of the battery is;
by the formulaCarrying out normalization calculation on the charge rate data CSI, the charge efficiency data CXi, the discharge duration data FSi and the discharge efficiency data FXI to obtain a charge and discharge performance value PFi of the target battery i; wherein ru1The values of ru2, ru3 and ru4 are all larger than zero, wherein the ru2, ru3 and ru4 are preset weight coefficients; and, the larger the value of the charge-discharge performance value PFi, the better the performance of the target battery i is indicated; comparing the charge and discharge performance value PFi of the target battery i with a preset charge and discharge performance threshold value, and judging that the quality of the target battery i does not reach the standard if the charge and discharge performance value PFi does not exceed the preset charge and discharge performance threshold value;
if the charge-discharge performance value PFi exceeds the charge-discharge performance threshold, collecting self-discharge rate data of the target battery i, wherein the self-discharge rate data refers to a data value of the self-loss electric quantity ratio of the battery under the condition that the battery is not used, and the lower the self-discharge rate data is, the better the energy storage capacity of the battery is maintained, otherwise, the energy storage capacity is easily lost; comparing the self-discharge rate data with a preset self-discharge rate data threshold value in a numerical mode, and judging that the quality of the target battery i does not reach the standard if the self-discharge rate data exceeds the preset self-discharge rate data threshold value and indicates that the energy storage capacity of the target battery i is poor;
if the self-discharge rate data does not exceed the preset self-discharge rate data threshold value, acquiring a battery safety value DQi of the target battery i through battery safety performance analysis; comparing the battery safety value DQi with a preset battery safety threshold value, and judging that the quality of the target battery i does not reach the standard if the battery safety value DQi exceeds the preset battery safety threshold value, which indicates that the safety performance of the target battery i is poor; if the battery safety value DQi does not exceed the preset battery safety threshold, the safety performance of the target battery i is good, and the quality of the target battery i is judged to reach the standard; and marking the target battery i as a qualified battery when the quality of the target battery i is judged to be up to standard, and marking the target battery i as a non-qualified battery when the quality of the target battery i is judged to be not up to standard.
Further, the specific analysis process of the battery safety performance analysis is as follows:
acquiring the time when the target battery i starts overcharging and the time when the target battery i automatically stops charging when the target battery i is detected, calculating the time difference between the time when the target battery i automatically stops charging and the time when the target battery i starts overdischarging and the time when the target battery i automatically stops discharging, and calculating the time difference between the time when the target battery i automatically stops discharging and the time when the target battery i starts overdischarging to obtain overdischarging detection data; the time difference between the time of automatically cutting off the current and the time of generating the short circuit is calculated to obtain short circuit detection data; performing numerical calculation on the overcharge detection data, the overdischarge detection data and the short circuit detection data to obtain risk prevention data FYI of the target battery i;
the safety auxiliary table coefficient AFi of the target battery i is obtained through safety auxiliary table analysis, specifically: collecting voltage data of a plurality of detection time points of the target battery i in the charging and discharging process, carrying out mean value calculation and variance calculation on all the voltage data to obtain average voltage data and fluctuation voltage data, and carrying out difference calculation on the average voltage data compared with a preset standard charging and discharging voltage value of the average voltage data to obtain voltage expression data; the larger the value of the fluctuating voltage data and the larger the value of the voltage expression data, the worse the voltage expression state of the target battery i in the charge and discharge process is;
the average temperature data of the target battery i in the charging and discharging process is collected and marked as temperature expression data, the ratio of the time length exceeding the preset standard temperature value in the charging and discharging process is marked as temperature superfeedback data, and the larger the numerical value of the temperature superfeedback data and the temperature expression data is, the worse the temperature expression condition of the target battery i in the charging and discharging process is, the larger the potential safety hazard in the charging and discharging process is, and the quality of the battery is not improved;
by the formulaNumerical calculations are performed on the voltage performance data YBi, the fluctuating voltage data YQi, the temperature performance data WBi and the temperature superfeedback data WGi to obtain An Quanfu table coefficients AFi; wherein ej1, ej2, ej3 and ej4 are preset weight coefficients, and values of ej1, ej2, ej3 and ej4 are all larger than zero; further, the larger the value of the An Quanfu table coefficient AFi is, the worse the performance of the charge and discharge process of the target battery i is as a whole;
analyzing and calculating by using a formula dqi=a1×fyi+a2×afi and substituting the safety auxiliary table coefficient AFi and the risk prevention data FYi to obtain a battery safety value DQi of the target battery i, wherein a1 and a2 are preset weight coefficients, and a1 > a2 > 0; it should be noted that the magnitude of the battery safety value DQi is in a direct proportion to the An Quanfu table coefficient AFi and the risk prevention data FYi, and that the smaller the value of the battery safety value DQi is, the better the safety performance of the target battery i is as a whole.
The supervision rationality assessment module analyzes the material scrapping data and the battery performance judgment information in the outdoor battery production process so as to generate a supervision rationality normal signal or a supervision rationality abnormal signal and send the supervision rationality normal signal or the supervision rationality abnormal signal to the quality management platform; the specific operation process of the supervision rationality evaluation module is as follows:
collecting material scrapping data in the outdoor battery production process in a corresponding production period, wherein the material scrapping data is a data value representing the mass of scrapped materials, and the larger the scrapped materials are, the larger the value of the material scrapping data is; collecting the number of qualified batteries and the number of non-standard batteries corresponding to the production period, and calculating the ratio of the number of the non-standard batteries to the number of the qualified batteries to obtain a quality anomaly coefficient; carrying out numerical calculation on the quality anomaly coefficient ZY and the material scrapping data CF through a formula GH=sd1×ZY+sd2×CF to obtain a supervision rational coefficient GH;
wherein sd1 and sd2 are preset weight coefficients, and sd1 > sd2 > 0; and the larger the value of the supervision reasonable coefficient GH is, the worse the production effect of the corresponding outdoor battery production line in the corresponding production period is shown; comparing the supervision reasonable coefficient GH with a preset supervision reasonable coefficient threshold value in a numerical value manner; if the supervision reasonable coefficient GH does not exceed the preset supervision reasonable coefficient threshold value, the production effect of the corresponding outdoor battery production line in the corresponding production period is good, and a supervision reasonable normal signal is generated; if the supervision rational coefficient GH exceeds the preset supervision rational coefficient threshold value, the production effect of the corresponding outdoor battery production line in the corresponding production period is poor, and a supervision rationality abnormal signal is generated.
When the quality management platform receives the supervision rationality abnormal signal, acquiring production efficiency data of the outdoor battery production line corresponding to the production period, and comparing the production efficiency data with a preset production efficiency data threshold value in a numerical mode; if the production efficiency data exceeds a preset production efficiency data threshold value, the possibility of poor production effect caused by too fast processing and production is indicated to be high, an efficiency abnormal signal is generated, and the efficiency abnormal signal is sent to a supervision terminal; after the manager of the supervision terminal receives the efficiency abnormality signal, the production efficiency of the corresponding outdoor battery production line should be adjusted in time in the follow-up process, and the follow-up production effect of the follow-up outdoor battery is ensured by reducing the production efficiency to ensure the quality of the produced outdoor battery.
Embodiment two: as shown in fig. 1-2, the difference between the present embodiment and embodiment 1 is that the quality management platform is in communication connection with the device management analysis module, and if the production efficiency data does not exceed the preset production efficiency data threshold, the quality management platform sends a supervision rationality exception signal to the device management analysis module; the equipment management and control analysis module analyzes the production equipment corresponding to the outdoor battery production line when receiving the supervision rationality abnormal signal, so as to generate an equipment management and control abnormal signal or an equipment management and control normal signal, accurately judge the relevance between the production equipment condition and the supervision rationality abnormality, and send the equipment management and control abnormal signal to the supervision terminal through the quality management platform; after receiving the equipment management abnormal signal, a manager of the supervision terminal should subsequently strengthen supervision and maintenance on the production equipment so as to ensure efficient and stable operation of a subsequent corresponding outdoor battery production line and further ensure the production quality of the outdoor battery; the specific analysis process of the equipment management and control analysis module is as follows:
acquiring all production equipment corresponding to an outdoor battery production line, acquiring maintenance frequency and maintenance time length of the corresponding production equipment in corresponding production time periods, summing all maintenance time lengths to obtain maintenance time sum values, and carrying out numerical calculation on the maintenance time sum values WS and the maintenance frequency WP through a formula WX=b1 xWS+b2 xWP to obtain maintenance coefficients WX of the corresponding production equipment; wherein b1 and b2 are preset weight coefficients, and b2 is more than b1 and more than 0; and, the larger the value of the maintenance coefficient WX is, the better the maintenance condition of the corresponding production equipment is indicated;
comparing the maintenance coefficient WX with a preset maintenance coefficient threshold value of corresponding production equipment to obtain a maintenance exceeding value, marking the number of the production equipment with the maintenance coefficient not exceeding the corresponding preset maintenance coefficient threshold value as a weak management and control equipment value, summing the maintenance exceeding values of all the production equipment, and taking an average value to obtain a maintenance representation value; respectively carrying out numerical comparison on the maintenance representation value and the weak control equipment value and a preset maintenance representation threshold value and a preset weak control equipment threshold value, and generating an equipment control abnormal signal if the maintenance representation value does not exceed the preset maintenance representation threshold value or the weak control equipment value exceeds the preset weak control equipment threshold value;
if the maintenance representation value exceeds a preset maintenance representation threshold value and the weak management and control equipment value does not exceed the preset weak management and control equipment threshold value, acquiring the fault occurrence frequency and the fault average recovery time length of the corresponding outdoor battery production line in the corresponding production period, and carrying out numerical calculation on the fault occurrence frequency MQ and the fault average recovery time length MS through a formula YK=b3+b4×MS to obtain an operation representation value YK; wherein b3 and b4 are preset weight coefficients, and b3 is more than b4 and more than 0;
and the smaller the value of the operation representation value YK is, the better the whole performance of the equipment corresponding to the outdoor battery production line is; comparing the operation representation value YK with a preset operation representation threshold value, and generating an equipment management and control abnormal signal if the operation representation value YK exceeds the preset operation representation threshold value, which indicates that the whole equipment corresponding to the outdoor battery production line has poor performance; if the operation representation value YK does not exceed the preset operation representation threshold value, indicating that the whole equipment corresponding to the outdoor battery production line has better performance, generating an equipment management and control normal signal; when the abnormal signal is generated, the possibility of abnormal supervision caused by the production equipment factors is high, and when the normal signal is generated, the possibility of abnormal supervision caused by the production equipment factors is low.
Embodiment III: as shown in fig. 1-2, the difference between the present embodiment and embodiments 1 and 2 is that the quality management platform is in communication connection with the environmental control detection and analysis module, and the equipment management and analysis module sends the equipment management and control normal signal to the environmental control detection and analysis module through the quality management platform; the environmental control detection analysis module analyzes the production environment of the corresponding outdoor battery production line when receiving the equipment management normal signal, so as to generate an environmental control abnormal signal or an environmental control normal signal, accurately judge the relevance between the production environment condition and the supervision rationality abnormality, and send the environmental control abnormal signal to the supervision terminal through the quality management platform; after receiving the environmental control abnormal signal, a manager of the supervision terminal should subsequently strengthen supervision and control on the production environment, so as to further ensure the production quality of the outdoor battery; when the environmental control normal signal is generated, corresponding management staff subsequently strengthen operation supervision and operation training of the operation staff, strengthen quality supervision of production raw materials, and are beneficial to guaranteeing the quality of the produced outdoor battery; the specific operation process of the environmental control detection analysis module is as follows:
through carrying out real-time environment detection analysis to the production area that corresponds outdoor battery production line, in order to judge whether the production environment is unusual from this, specifically: acquiring production environment parameters (including temperature, humidity and the like) affecting the quality of the outdoor battery, arranging a plurality of environment monitoring points in a production area corresponding to the outdoor battery production line, acquiring real-time data (such as actual temperature data, real-time humidity data and the like) of the production environment parameters corresponding to all the environment monitoring points of the outdoor battery production line, and marking the corresponding environment monitoring points as environment abnormal points if the real-time data of the corresponding production environment parameters do not meet the requirements of corresponding preset real-time data ranges; if an environment abnormal point exists in the production area corresponding to the outdoor battery production line, judging that the production environment of the outdoor battery production line is abnormal;
acquiring the environment abnormal frequency of the outdoor battery production line in the corresponding production period, wherein the environment abnormal frequency is a data value for indicating the number of environment abnormal times; the time of each production environment abnormality and the environment regulation and control recovery time are acquired, and the time of the corresponding production environment abnormality is subtracted from the environment regulation and control recovery time to obtain the ring regulation recovery time; it should be noted that, the larger the numerical value of the ring-regulation recovery time length is, the more untimely the environment regulation process is, and the larger the adverse effect on the quality of the produced outdoor battery is; summing all the ring-tuning recovery time lengths to obtain a ring-tuning time sum value, and carrying out numerical calculation on the ring-tuning time sum value KR and the environment abnormal frequency KY to obtain a ring-control detection value HQ through a formula HQ=kq1+kq2;
wherein, kq1 and kq2 are preset weight coefficients, and kq2 is more than kq1 and more than 0; and the larger the numerical value of the environmental control detection value HQ is, the worse the environmental condition of the outdoor battery production line corresponding to the corresponding production period is indicated; comparing the environmental control detection value HQ with a preset environmental control detection threshold value, and if the environmental control detection value HQ exceeds the preset environmental control detection threshold value, indicating that the environmental condition of the outdoor battery production line corresponding to the corresponding production period is poor, and judging that the possibility of supervision rationality abnormality is high due to production environmental factors, generating an environmental control abnormality signal; if the environmental control detection value HQ does not exceed the preset environmental control detection threshold value, the environmental condition of the outdoor battery production line corresponding to the corresponding production period is indicated to be good, and the possibility of abnormal supervision rationality caused by production environmental factors is judged to be small, an environmental control normal signal is generated.
The working principle of the invention is as follows: when the battery monitoring system is used, all outdoor batteries to be detected are obtained through the performance detection analysis module, the performance conditions of the corresponding outdoor batteries are detected and analyzed, so that the target batteries are judged to be qualified batteries or non-qualified batteries, the quality conditions of the outdoor batteries can be effectively detected, accurately and reasonably estimated, and therefore supervision staff can master the production quality conditions of the outdoor batteries in detail and provide data support for subsequent analysis; the supervision rationality evaluation module analyzes the material scrapping data and the battery performance judgment information in the outdoor battery production process so as to generate a supervision rationality normal signal or a supervision rationality abnormal signal, and performs efficiency analysis of corresponding production time periods when the supervision rationality abnormal signal is generated so as to judge the possible condition of poor production effect caused by too fast processing and production; if the efficiency abnormal signal is not generated, the production equipment corresponding to the outdoor battery production line is analyzed through the equipment management and control analysis module, so that the equipment management and control abnormal signal or the equipment management and control normal signal is generated, the relevance of the production equipment condition and the supervision rationality abnormality can be accurately judged, and the production environment corresponding to the outdoor battery production line is analyzed through the environmental control detection analysis module when the equipment management and control normal signal is generated, so that the environmental control abnormal signal or the environmental control normal signal is generated, the relevance of the production environment condition and the supervision rationality abnormality can be accurately judged, the functions of abnormality reason diagnosis and feedback are realized when the production rationality abnormality is judged, production supervision and subsequent management measure adjustment are facilitated for management personnel of the outdoor battery production line, and therefore, the product quality is effectively improved.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The outdoor battery production quality management system based on data analysis is characterized by comprising a quality management platform, a performance detection analysis module, a supervision rationality evaluation module, an equipment management analysis module and a environmental control detection analysis module;
the performance detection analysis module obtains all the outdoor batteries to be detected, marks the corresponding outdoor batteries as target batteries i, i= {1,2, …, n }, wherein n represents the number of the outdoor batteries to be detected and n is a natural number greater than 1; detecting and analyzing the performance condition of the target battery i, judging whether the target battery i is a qualified battery or a non-qualified battery according to the performance condition, and sending the performance judgment information of the target battery i to a quality management platform for storage; the supervision rationality assessment module analyzes the material scrapping data and the battery performance judgment information in the outdoor battery production process so as to generate a supervision rationality normal signal or a supervision rationality abnormal signal and send the supervision rationality normal signal or the supervision rationality abnormal signal to the quality management platform;
when the quality management platform receives the supervision rationality abnormal signal, acquiring production efficiency data of a corresponding outdoor battery production line, and comparing the production efficiency data with a preset production efficiency data threshold value in a numerical mode; if the production efficiency data exceeds a preset production efficiency data threshold, generating an efficiency abnormal signal and sending the efficiency abnormal signal to a supervision terminal, otherwise, sending a supervision rationality abnormal signal to an equipment management analysis module;
the equipment management and control analysis module analyzes production equipment corresponding to the outdoor battery production line when receiving the supervision rationality abnormal signal, so as to generate an equipment management and control abnormal signal or an equipment management and control normal signal, the equipment management and control abnormal signal is sent to the supervision terminal through the quality management platform, and the equipment management and control normal signal is sent to the environmental control detection and analysis module through the quality management platform; and when the environmental control detection analysis module receives the equipment management normal signal, the environmental control detection analysis module analyzes the production environment of the corresponding outdoor battery production line, so as to generate an environmental control abnormal signal or an environmental control normal signal, and the environmental control abnormal signal is sent to the supervision terminal through the quality management platform.
2. The outdoor battery production quality management system based on data analysis according to claim 1, wherein the specific operation process of the performance detection analysis module comprises:
acquiring battery capacity deviation data and battery internal resistance super-amplitude data of a target battery i, and judging that the quality of the target battery i does not reach the standard if the battery capacity deviation data or the battery internal resistance super-amplitude data exceeds a corresponding preset threshold value; if the battery capacity deviation data and the battery internal resistance super-amplitude data do not exceed the corresponding preset threshold values, acquiring charge rate data, charge efficiency data, discharge duration data and discharge efficiency data of the target battery i, and carrying out normalization calculation on the charge rate data, the charge efficiency data, the discharge duration data and the discharge efficiency data to obtain charge and discharge performance values of the target battery i; and if the charge-discharge performance value does not exceed the preset charge-discharge performance threshold value, judging that the quality of the target battery i does not reach the standard.
3. The outdoor battery production quality management system based on data analysis according to claim 2, wherein if the charge-discharge performance value exceeds the charge-discharge performance threshold, collecting self-discharge rate data of the target battery i, comparing the self-discharge rate data with a preset self-discharge rate data threshold in a numerical manner, and if the self-discharge rate data exceeds the preset self-discharge rate data threshold, judging that the quality of the target battery i does not reach the standard; if the self-discharge rate data does not exceed the preset self-discharge rate data threshold value, acquiring a battery safety value DQi of the target battery i through battery safety performance analysis; if the battery safety value DQi exceeds a preset battery safety threshold, judging that the quality of the target battery i does not reach the standard; if the battery safety value DQi does not exceed the preset battery safety threshold value, judging that the quality of the target battery i meets the standard; and marking the target battery i as a qualified battery when the quality of the target battery i is judged to be up to standard, and marking the target battery i as a non-qualified battery when the quality of the target battery i is judged to be not up to standard.
4. A data analysis-based outdoor battery production quality management system according to claim 3, wherein the specific analysis process of the battery safety performance analysis is as follows:
acquiring the time when the target battery i starts overcharging and the time when the target battery i automatically stops charging when the target battery i is detected, calculating the time difference between the time when the target battery i automatically stops charging and the time when the target battery i starts overdischarging and the time when the target battery i automatically stops discharging, and calculating the time difference between the time when the target battery i automatically stops discharging and the time when the target battery i starts overdischarging to obtain overdischarging detection data; the time difference between the time of automatically cutting off the current and the time of generating the short circuit is calculated to obtain short circuit detection data; performing numerical calculation on the overcharge detection data, the overdischarge detection data and the short circuit detection data to obtain risk prevention data FYI of the target battery i;
the safety auxiliary table coefficient AFi of the target battery i is obtained through safety auxiliary table analysis; and obtaining a battery safety value DQi of the target battery i through analysis and calculation of a formula DQi=a1 x FYI+a2 x AFi, wherein a1 and a2 are preset weight coefficients, and a1 is more than a2 is more than 0.
5. The outdoor battery production quality management system based on data analysis according to claim 1, wherein the specific analysis process of the safety auxiliary table analysis is as follows:
collecting voltage data of a plurality of detection time points of the target battery i in the charging and discharging process, carrying out mean value calculation and variance calculation on all the voltage data to obtain average voltage data and fluctuation voltage data, and carrying out difference calculation on the average voltage data compared with a preset standard charging and discharging voltage value of the average voltage data to obtain voltage expression data; the average temperature data of the target battery i in the charging and discharging process is collected and marked as temperature expression data, the time length ratio of the target battery i exceeding a preset standard temperature value in the charging and discharging process is marked as temperature superfeedback data, and the voltage expression data, the fluctuation voltage data, the temperature expression data and the temperature superfeedback data are subjected to numerical calculation to obtain An Quanfu table coefficient AFi.
6. The outdoor battery production quality management system based on data analysis of claim 1, wherein the specific operation process of the supervision and rationality evaluation module comprises:
collecting material scrapping data in the outdoor battery production process, collecting qualified battery quantity and non-standard battery quantity, and calculating the ratio of the non-standard battery quantity to the qualified battery quantity to obtain a quality anomaly coefficient; and carrying out numerical calculation on the quality abnormal coefficient and the material scrapped data to obtain a supervision reasonable coefficient, generating a supervision reasonable normal signal if the supervision reasonable coefficient does not exceed a preset supervision reasonable coefficient threshold, and generating a supervision reasonable abnormal signal if the supervision reasonable coefficient exceeds the preset supervision reasonable coefficient threshold.
7. The outdoor battery production quality management system based on data analysis according to claim 1, wherein the specific analysis process of the device management analysis module comprises:
acquiring all production equipment corresponding to an outdoor battery production line, acquiring maintenance frequency and maintenance time length of the corresponding production equipment in corresponding production time periods, summing all maintenance time lengths to obtain maintenance time and value, and performing numerical calculation on the maintenance time and value and the maintenance frequency to obtain maintenance coefficients of the corresponding production equipment;
comparing the maintenance coefficients with a preset maintenance coefficient threshold value of corresponding production equipment to obtain maintenance excess values, marking the number of the production equipment, of which the maintenance coefficients do not exceed the corresponding preset maintenance coefficient threshold value, as weak management and control equipment values, carrying out summation calculation on the maintenance excess values of all the production equipment, and taking an average value to obtain maintenance representation values; and if the maintenance representation value does not exceed the preset maintenance representation threshold value or the weak management and control equipment value exceeds the preset weak management and control equipment threshold value, generating an equipment management and control abnormal signal.
8. The outdoor battery production quality management system based on data analysis according to claim 7, wherein if the maintenance representation value exceeds a preset maintenance representation threshold value and the weak management device value does not exceed a preset weak management device threshold value, acquiring the failure occurrence frequency and the failure average recovery time length of the corresponding outdoor battery production line in the corresponding production period, and performing numerical calculation on the failure occurrence frequency and the failure average recovery time length to obtain an operation representation value; if the operation representation value exceeds a preset operation representation threshold value, generating an equipment management and control abnormal signal; and if the running performance value does not exceed the preset running performance threshold value, generating a device management and control normal signal.
9. The outdoor battery production quality management system based on data analysis according to claim 1, wherein the specific operation process of the environmental control detection analysis module comprises:
the method comprises the steps of carrying out real-time environment detection analysis on a production area corresponding to an outdoor battery production line, judging whether production environment abnormality occurs according to the real-time environment detection analysis, collecting environment abnormality frequency of the outdoor battery production line in a corresponding production period, collecting time of each production environment abnormality and environment regulation recovery time, and subtracting the time of the corresponding production environment abnormality from the environment regulation recovery time to obtain ring regulation recovery time; summing all the ring tone recovery time lengths to obtain ring tone time and value, and carrying out numerical calculation on the ring tone time and value and the environment abnormal frequency to obtain a ring control detection value; if the environmental control detection value exceeds a preset environmental control detection threshold value, generating an environmental control abnormal signal; if the loop control detection value does not exceed the preset loop control detection threshold value, generating a loop control normal signal.
10. The outdoor battery production quality management system based on data analysis according to claim 9, wherein the specific analysis process of the real-time environment detection analysis is as follows:
acquiring production environment parameters affecting the quality of the outdoor battery, arranging a plurality of environment monitoring points in a production area corresponding to an outdoor battery production line, acquiring real-time data of production environment parameters corresponding to all environment monitoring points of the outdoor battery production line, and marking the corresponding environment monitoring points as environment abnormal points if the real-time data of the corresponding production environment parameters do not meet the corresponding preset real-time data range requirements; if an environment abnormal point exists in the production area corresponding to the outdoor battery production line, judging that the production environment of the outdoor battery production line is abnormal.
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