CN116307365A - Monitoring data processing system based on automobile safety production - Google Patents
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Abstract
The invention belongs to the technical field of automobile production supervision, and particularly relates to a monitoring data processing system based on automobile safety production, which comprises a server, a data storage module, a process equipment analysis module, a process safety analysis module, an employee operation analysis module and an operation difference analysis module, wherein the server is in communication connection with the data storage module, the process equipment analysis module, the process safety analysis module, the employee operation analysis module and the operation difference analysis module, and the server is in communication connection with an automobile production management and control terminal; according to the invention, the corresponding analysis equipment is marked as difficult-to-operate equipment or easy-to-operate equipment by the process equipment analysis module, the corresponding analysis process is marked as high-risk process or low-risk process by the process safety analysis module, and the corresponding analysis staff is marked as high-skilled worker or low-skilled worker by the staff operation analysis module, so that the effective combination of process equipment analysis, process safety analysis and staff analysis is realized, and the safety production of an automobile production line is ensured.
Description
Technical Field
The invention relates to the technical field of automobile production supervision, in particular to a monitoring data processing system based on automobile safety production.
Background
Vehicles which are driven by power and do not need to be erected according to tracks or electric power, and in a broad sense, vehicles which are driven by mechanical energy are generally called vehicles, and the vehicles gradually enter home as a walking tool; a plurality of processing procedures are distributed on an automobile production line, a plurality of processing equipment exist in the processing procedures, effective analysis and division marking of the safety of the processing equipment and the procedures in the automobile production line are difficult to realize at present in the automobile production process, the proficiency analysis of operators belonging to the processing procedures is difficult to realize, the combination and feedback of the procedure equipment analysis, the procedure safety analysis and the staff analysis are more difficult to realize, the effective treatment of supervision data in the production process is difficult to realize, the supervision personnel are not favorable for timely carrying out improvement measures such as reasonable personnel adjustment, and the safety of the automobile production process is difficult to ensure;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a monitoring data processing system based on automobile safety production, which solves the problems that the prior art cannot combine and feed back process equipment analysis, process safety analysis and staff analysis, is not beneficial to supervision staff to carry out improvement measures such as reasonable personnel adjustment in time, and is difficult to ensure the safety and stability of the automobile production process.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the monitoring data processing system based on the automobile safety production comprises a server, a data storage module, a process equipment analysis module, a process safety analysis module, an employee operation analysis module and an operation difference analysis module, wherein the server is in communication connection with the data storage module, the process equipment analysis module, the process safety analysis module, the employee operation analysis module and the operation difference analysis module, and the server is in communication connection with an automobile production management and control terminal;
the server generates a process equipment analysis signal and sends the process equipment analysis signal to a process equipment analysis module, wherein the process equipment analysis module is used for carrying out process equipment analysis after receiving the process equipment analysis signal, marking the corresponding analysis equipment g as difficult operation equipment or easy operation equipment, and sending the difficult operation equipment or easy operation equipment and the corresponding analysis equipment g of the corresponding analysis process i to the server;
the server generates a process safety analysis signal and sends the process safety analysis signal to a process safety analysis module, wherein the process safety analysis module is used for carrying out process safety analysis after receiving the process safety analysis signal, marking a corresponding analysis process i as a high-risk process or a low-risk process, and sending the low-risk process or the high-risk process and the corresponding analysis process i to the server;
the server generates an operation analysis signal and sends the operation analysis signal to an employee operation analysis module, and the employee operation analysis module is used for carrying out employee operation analysis after receiving the operation analysis signal, marking a corresponding analysis employee u as a high-skilled worker or a low-skilled worker, and sending the high-skilled worker or the low-skilled worker and the corresponding analysis employee u of the corresponding analysis procedure i to the server;
the server generates an operation difference analysis signal and sends the operation difference analysis signal to the operation difference analysis module, the operation difference analysis module is used for carrying out operation difference analysis after receiving the operation difference analysis signal and generating an operation difference qualified signal or an operation difference unqualified signal, and the operation difference qualified signal or the operation difference unqualified signal and the corresponding procedure i are sent to the server.
Further, the process equipment analysis process of the process equipment analysis module includes:
the method comprises the steps of obtaining processing procedures in an automobile production line, marking the processing procedures in the automobile production line as analysis procedures i, i= {1,2, …, n }, wherein n represents the number of the processing procedures in the automobile production line and n is a positive integer greater than 1; all processing equipment corresponding to the analysis procedure i is obtained, the processing equipment corresponding to the analysis procedure i is marked as analysis equipment g, g= {1,2, …, m }, m represents the number of the processing equipment corresponding to the analysis procedure i and m is a positive integer greater than or equal to 1;
acquiring a device calendar condition value of a corresponding analysis device g of a corresponding analysis process i through analysis, calling a preset device calendar condition threshold value of the corresponding device through a data storage module, comparing the device calendar condition value with the preset device calendar condition threshold value of the corresponding device, marking the corresponding analysis device g of the corresponding analysis process i as an difficult operation device if the device calendar condition value is larger than or equal to the preset device calendar condition threshold value of the corresponding device, and marking the corresponding analysis device g of the corresponding analysis process i as the easy operation device if the device calendar condition value is smaller than the preset device calendar condition threshold value of the corresponding device.
Further, the method for analyzing and acquiring the equipment calendar state value comprises the following steps:
acquiring equipment calendar information of the corresponding analysis equipment g in the corresponding analysis procedure i, wherein the equipment calendar information comprises the starting use date of the analysis equipment g and the expiration date of the equipment life period, acquiring a current date, calculating the difference between the current date and the expiration date of the equipment life period to acquire an end-of-life time value, and calculating the difference between the current date and the starting use date to acquire an application time value; and obtaining the number of times of the operation faults of the analysis equipment g in the historical operation stage, marking the times as the commissioned frequency value, and carrying out numerical calculation on the commissioned frequency value, the commissioned time value and the service life time value to obtain the equipment calendar state value.
Further, the analysis process of the process equipment analysis module further comprises the following steps:
obtaining all the difficult-to-operate equipment in the corresponding analysis procedure i, calculating the difference value between the equipment calendar value of the difficult-to-operate equipment and the preset equipment calendar threshold value of the corresponding equipment to obtain the calendar deviation value of the corresponding difficult-to-operate equipment in the corresponding analysis procedure i, calling the preset calendar deviation threshold value of the corresponding difficult-to-operate equipment through the data storage module, comparing the calendar deviation value with the corresponding preset calendar deviation threshold value, and generating an equipment elimination signal and sending the equipment elimination signal to the server if the calendar deviation value is greater than or equal to the corresponding preset calendar deviation threshold value.
Further, the process safety analysis procedure of the process safety analysis module includes:
all the difficult-to-operate equipment and easy-to-operate equipment in the analysis process i are obtained, the number of the difficult-to-operate equipment and the number of the easy-to-operate equipment in the analysis process i are marked as equipment difficult-to-operate values and equipment easy-to-operate values, and the ratio of the equipment difficult-to-operate values to the equipment easy-to-operate values is calculated to obtain the process difficulty; the method comprises the steps of obtaining the number of safety accidents of an analysis process i in unit time, marking the number as an accident frequency value, obtaining an accident influence value, wherein the accident influence value is a data value representing the degree of personnel injury and property loss caused by corresponding safety accidents, and carrying out numerical calculation on the accident frequency value and the accident influence to obtain a process risk value;
and the data storage module is used for calling a preset process difficulty threshold value and a preset process risk threshold value corresponding to the analysis process i, comparing the process difficulty level and the process risk value with the preset process difficulty threshold value and the preset process risk threshold value respectively, and if the process difficulty level and the process risk value are smaller than or equal to the corresponding preset threshold value, marking the corresponding process i as a low-risk process, and marking the corresponding process i as a high-risk process in the rest cases.
Further, the employee operation analysis process of the employee operation analysis module includes:
all staff corresponding to the analysis procedure i are obtained, the staff corresponding to the analysis procedure i is marked as analysis staff u, u= {1,2, …, j }, j represents the number of staff corresponding to the analysis procedure i and j is a positive integer greater than or equal to 1; acquiring the total on-duty time of the corresponding analysis staff u in the corresponding process in the analysis process i and marking the total on-duty time as an operation experience value, and acquiring the operation error times of the corresponding analysis staff u in the analysis process i in unit time and marking the operation error frequency value;
the method comprises the steps that a preset operation experience threshold value and a preset operation error frequency threshold value corresponding to an analysis procedure i are called through a data storage module, the operation experience value and the operation error frequency value are respectively compared with the preset operation experience threshold value and the preset operation error frequency threshold value corresponding to the analysis procedure i, and if the operation experience value is greater than or equal to the preset operation experience threshold value and the operation error frequency value is less than or equal to the preset operation error frequency threshold value, a corresponding analysis staff u corresponding to the analysis procedure i is marked as a high-skilled worker;
and in other cases, carrying out numerical calculation on the operation error frequency value and the operation experience value to obtain the operation proficiency of the corresponding analysis staff u of the corresponding analysis procedure i, calling a preset operation proficiency threshold value of the corresponding analysis procedure i through a data storage module, carrying out numerical comparison on the operation proficiency and the preset operation proficiency threshold value, marking the corresponding analysis staff u of the corresponding analysis procedure i as a high-proficiency worker if the operation proficiency is greater than or equal to the preset operation proficiency threshold value, and marking the corresponding analysis staff u of the corresponding analysis procedure i as a low-proficiency worker if the operation proficiency is less than the preset operation proficiency threshold value.
Further, the specific operation process of the operation variability analysis module comprises:
acquiring operation error frequency values of analysis staff u in an analysis procedure i, establishing procedure error frequency sets of operation error frequency values of all the analysis staff u corresponding to the analysis procedure i, and carrying out mean value calculation and variance calculation on the procedure error frequency sets to acquire error frequency representation values and error frequency deviation values; and (3) calling a preset error frequency representation threshold value and a preset error frequency deviation threshold value corresponding to the analysis procedure i through a data storage module, respectively comparing the error frequency representation value and the error frequency deviation value with the preset error frequency representation threshold value and the preset error frequency deviation threshold value, and if the error frequency representation value is smaller than the preset error frequency representation threshold value and the error frequency deviation value is smaller than the preset error frequency deviation threshold value, generating an operation difference qualified signal, and otherwise generating an operation difference unqualified signal.
Further, the server sends the equipment eliminating signal and the corresponding equipment difficult to operate in the corresponding analysis procedure i to the automobile production control terminal, and a supervisory person of the automobile production control terminal should timely eliminate the corresponding equipment and replace the corresponding new equipment after receiving the equipment eliminating signal.
Further, the server transmits the difficult-to-operate equipment or easy-to-operate equipment and the corresponding analysis equipment g of the corresponding analysis procedure i to the automobile production control terminal, transmits the low-risk procedure or high-risk procedure and the corresponding analysis procedure i to the automobile production control terminal, and transmits the high-skilled worker or low-skilled worker and the corresponding analysis staff u of the corresponding analysis procedure i to the automobile production control terminal; the supervisory personnel of the automobile production control terminal arrange low-skilled workers in the high-risk working procedure into the low-risk working procedure according to the requirements, arrange the low-skilled workers in the low-risk working procedure into easy-to-operate equipment in the corresponding working procedure, arrange the high-skilled workers in the corresponding working procedure into difficult-to-operate equipment, and strengthen the safety training of corresponding staff in the high-risk working procedure.
Further, the server sends the operation difference qualified signal or the operation difference unqualified signal to the automobile production control terminal, the supervisory personnel of the automobile production control terminal does not need to make any feedback after receiving the operation difference qualified signal, and the supervisory personnel of the automobile production control terminal should strengthen the operation training of the relevant staff of the automobile processing procedure and select to tune away the relevant staff from the corresponding processing procedure according to the requirement after receiving the operation difference unqualified signal.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the process equipment analysis is carried out through the process equipment analysis module, the corresponding analysis equipment g is marked as difficult-to-operate equipment or easy-to-operate equipment, the process safety analysis module carries out process safety analysis, the corresponding analysis process i is marked as high-risk process or low-risk process, the staff operation analysis module carries out staff operation analysis, and the corresponding analysis staff u is marked as high-skilled worker or low-skilled worker, so that effective combination of process equipment analysis, process safety analysis and staff analysis is realized, improvement measures such as process staff adjustment are facilitated for supervision staff to accurately carry out, safe and stable production of an automobile production line is ensured, and potential safety hazards in the production process of the automobile production line are reduced;
2. according to the invention, the operation difference analysis module is used for carrying out operation difference analysis and generating an operation difference qualified signal or an operation difference unqualified signal, the operation difference qualified signal or the operation difference unqualified signal is sent to the automobile production control terminal through the server, and the supervision personnel of the automobile production control terminal receive the operation difference unqualified signal and then reinforce the operation training of the personnel related to the automobile processing procedure and select the relevant personnel to be separated from the corresponding processing procedure according to the requirement, so that the safe production of the corresponding procedure is further ensured;
3. according to the invention, the difficult-to-operate equipment is analyzed and judged through the process equipment analysis module, if the equipment is needed to be eliminated, an equipment elimination signal is generated, the equipment elimination signal and the corresponding difficult-to-operate equipment are sent to the automobile production control terminal through the server, and a supervisory person of the automobile production control terminal should timely eliminate the corresponding equipment and replace the corresponding new equipment after receiving the equipment elimination signal, so that the potential safety hazard in the production process of an automobile production line is further reduced.
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 server and an automobile production control terminal in the invention;
fig. 3 is a system block diagram of a second embodiment of the present invention.
Description of the embodiments
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.
Examples
1-2, the monitoring data processing system based on the automobile safety production comprises a server, wherein the server is in communication connection with a data storage module, a process equipment analysis module, a process safety analysis module and an employee operation analysis module, and is in communication connection with an automobile production management and control terminal;
the server generates a process equipment analysis signal and sends the process equipment analysis signal to a process equipment analysis module, the process equipment analysis module is used for performing process equipment analysis after receiving the process equipment analysis signal and marking the corresponding analysis equipment g as difficult-to-operate equipment or easy-to-operate equipment, and the process equipment analysis process is as follows:
step S1, acquiring processing procedures in an automobile production line, marking the processing procedures in the automobile production line as analysis procedures i, i= {1,2, …, n }, wherein n represents the number of the processing procedures in the automobile production line and n is a positive integer greater than 1; all processing equipment corresponding to the analysis procedure i is obtained, the processing equipment corresponding to the analysis procedure i is marked as analysis equipment g, g= {1,2, …, m }, m represents the number of the processing equipment corresponding to the analysis procedure i and m is a positive integer greater than or equal to 1;
step S2, acquiring equipment calendar information of the corresponding analysis equipment g in the corresponding analysis procedure i, wherein the equipment calendar information comprises the starting operation date of the analysis equipment g and the expiration date of the equipment life period, acquiring the current date, carrying out difference calculation on the current date and the expiration date of the equipment life period, acquiring a life end time value SZig through the difference calculation, carrying out difference calculation on the current date and the starting operation date, acquiring an operation time value TYig through the difference calculation, and acquiring the times of operation faults of the analysis equipment g in a historical operation stage and marking the times as an operation event frequency value TGig;
step S3, carrying out numerical calculation by substituting the application event frequency value TGig, the application time value TYig and the service life end time value SZig through formulas, and obtaining a device calendar condition value SLig of the corresponding sub-device g of the corresponding analysis procedure i through the numerical calculation;
wherein a1, a2 and a3 are preset proportionality coefficients, the values of a1, a2 and a3 are all larger than zero, and a1 is larger than a2 and larger than a3; it should be noted that, the magnitude of the equipment calendar condition value SLig is in a direct proportion relation with the commission event frequency value TGig and the commission time value TYig, and in an inverse proportion relation with the service life time value szg, the larger the magnitude of the commission event frequency value TGig, the larger the magnitude of the commission time value TYig and the smaller the magnitude of the service life time value szg, the larger the magnitude of the equipment calendar condition value SLig indicates that the worse the equipment condition corresponding to the equipment g in the corresponding analysis procedure i is, and the relatively larger the difficulty of smooth and stable operation is;
step S4, a preset equipment calendar threshold value of the corresponding equipment is called through a data storage module, the equipment calendar value SLig is compared with the preset equipment calendar threshold value of the corresponding equipment in numerical value, if the equipment calendar value SLig is larger than or equal to the preset equipment calendar threshold value of the corresponding equipment, the corresponding analysis equipment g of the corresponding analysis procedure i is marked as difficult operation equipment, and if the equipment calendar value SLig is smaller than the preset equipment calendar threshold value of the corresponding equipment, the corresponding analysis equipment g of the corresponding analysis procedure i is marked as easy operation equipment; and sending the equipment which is difficult to operate or easy to operate and the corresponding analysis equipment g of the corresponding analysis procedure i to a server.
The server generates a process safety analysis signal and sends the process safety analysis signal to a process safety analysis module, the process safety analysis module is used for carrying out process safety analysis after receiving the process safety analysis signal and marking a corresponding analysis process i as a high-risk process or a low-risk process, and the process safety analysis process is as follows:
all the difficult-to-operate equipment and easy-to-operate equipment in the analysis process i are obtained, the number of the difficult-to-operate equipment and the number of the easy-to-operate equipment in the analysis process i are marked as an equipment difficult-to-operate value SNi and an equipment easy-to-operate value SYi, and the equipment difficult-to-operate value SNi and the equipment easy-to-operate value SYi are subjected to ratio calculation through a ratio formula NYi =SNi/(SYi+0.835) to obtain process difficulty NYi;
the number of safety accidents of the analysis process i in unit time is obtained and marked as an accident frequency value SPi, and an accident impact value GYi is obtained, wherein the accident impact value GYi is a data value representing the degree of personnel injury and property loss caused by the corresponding safety accidents;
numerical calculation is carried out by substituting an accident frequency value SPi and an accident impact value GYi through a process risk analysis formula, and a process risk value GFi corresponding to an analysis process i is obtained through the numerical calculation; wherein b1 and b2 are preset weight coefficients, the values of b1 and b2 are both greater than zero, and b1 is smaller than b2;
it should be noted that, the safety risk level of the analysis process i is in a proportional relationship with the process difficulty NYi and the process risk value GFi, and the greater the process difficulty NYi or the greater the process risk value GFi of the corresponding analysis process i, the greater the safety risk level of the corresponding analysis process i in the operation process is indicated;
the method comprises the steps of calling a preset process difficulty threshold value and a preset process risk threshold value of a corresponding analysis process i through a data storage module, respectively comparing the process difficulty NYi and the process risk value GFi with the preset process difficulty threshold value and the preset process risk threshold value, and marking the corresponding process i as a low-risk process if both the process difficulty NYi and the process risk value GFi are smaller than or equal to the corresponding preset threshold value and marking the corresponding process i as a high-risk process in other cases; and transmitting the low-risk process or the high-risk process and the corresponding analysis process i to a server.
The server generates an operation analysis signal and sends the operation analysis signal to an employee operation analysis module, and the employee operation analysis module is used for carrying out employee operation analysis after receiving the operation analysis signal and marking a corresponding analysis employee u as a high-skilled worker or a low-skilled worker, wherein the employee operation analysis process is specifically as follows:
step T1, obtaining all staff corresponding to the analysis procedure i, marking the staff corresponding to the analysis procedure i as analysis staff u, u= {1,2, …, j }, wherein j represents the number of staff corresponding to the analysis procedure i and j is a positive integer greater than or equal to 1;
step T2, acquiring the total on-duty time of the corresponding analysis staff u in the corresponding process in the analysis process i and marking the total on-duty time as an operation experience value CJiu, and acquiring the operation error times of the corresponding analysis staff u in the unit time in the analysis process i and marking the operation error frequency value WPiu;
step T3, a preset operation experience threshold value and a preset operation error frequency threshold value corresponding to the analysis procedure i are called through a data storage module, the operation experience value CJiu and the operation error frequency value WPiu are respectively compared with the preset operation experience threshold value and the preset operation error frequency threshold value corresponding to the analysis procedure i in numerical value, and if the operation experience value CJiu is greater than or equal to the preset operation experience threshold value and the operation error frequency value WPiu is less than or equal to the preset operation error frequency threshold value, the corresponding analysis staff u corresponding to the analysis procedure i is marked as a high-skilled worker;
step T4, carrying out numerical calculation on the rest conditions by means of a formula and substituting the operation error frequency value WPiu and the operation experience value CJiu, and obtaining the operation proficiency CSiu of the corresponding analysis staff u of the corresponding analysis procedure i through the numerical calculation;
wherein, tu1 and tu2 are preset proportionality coefficients, the values of tu1 and tu2 are both larger than zero, and tu1 is larger than tu2; the magnitude of the operation proficiency degree CSiu is in inverse proportion to the operation error frequency value WPiu, and in direct proportion to the operation experience value CJiu, the larger the magnitude of the operation experience value CJiu is, the smaller the magnitude of the operation error frequency value WPiu is, the larger the operation proficiency degree CSiu of the corresponding analysis procedure i corresponding to the analysis staff u is, and the more proficiency the corresponding analysis procedure i is corresponding to the operation of the analysis staff u is indicated;
step T5, a preset operation proficiency threshold value corresponding to the analysis procedure i is called through the data storage module, the operation proficiency degree CSiu is compared with the preset operation proficiency degree threshold value in a numerical mode, if the operation proficiency degree CSiu is larger than or equal to the preset operation proficiency degree threshold value, the corresponding analysis staff u corresponding to the analysis procedure i is marked as a high-proficiency worker, and if the operation proficiency degree CSiu is smaller than the preset operation proficiency degree threshold value, the corresponding analysis staff u corresponding to the analysis procedure i is marked as a low-proficiency worker, and marking division of the operation staff is achieved; and sending the corresponding analysis staff u of the corresponding analysis procedure i to the server by the high-skilled worker or the low-skilled worker.
The server sends the difficult-to-operate equipment or easy-to-operate equipment and the corresponding analysis equipment g of the corresponding analysis procedure i to the automobile production control terminal, sends the low-risk procedure or high-risk procedure and the corresponding analysis procedure i to the automobile production control terminal, and sends the high-skilled worker or low-skilled worker and the corresponding analysis staff u of the corresponding analysis procedure i to the automobile production control terminal; the supervisory personnel of car production management and control terminal arranges the low skilled worker in the high risk process to the low risk process as required to and arrange the low skilled worker in the low risk process to the easy operation equipment in the corresponding processing procedure, and arrange the high skilled worker to the difficult operation equipment in the corresponding processing procedure, and strengthen the security training to the staff that corresponds in the high risk process, help reducing the potential safety hazard in the car production process, guarantee the safe and stable production of car production line.
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.
Examples
As shown in fig. 2-3, the difference between the present embodiment and embodiment 1 is that the server is communicatively connected to the operation variability analysis module, and the server generates an operation variability analysis signal and sends the operation variability analysis signal to the operation variability analysis module, where the operation variability analysis module is configured to perform operation variability analysis after receiving the operation variability analysis signal and generate an operation variability qualified signal or an operation variability unqualified signal, and the operation variability analysis process is specifically as follows:
acquiring an operation error frequency value WPiu of an analysis staff u in an analysis procedure i, establishing a procedure error frequency set WJ of the operation error frequency values WPiu of all the analysis staff u corresponding to the analysis procedure i, performing mean value calculation and variance calculation on the procedure error frequency set WJ of the procedure error frequency set WJ= { WPi1, WPi2, … and WPij }, and acquiring an error frequency representation value WBi and an error frequency deviation value WPi corresponding to the analysis procedure i; and calling a preset error frequency representation threshold value and a preset error frequency deviation threshold value corresponding to the analysis procedure i through a data storage module, respectively comparing the error frequency representation value WBi and the error frequency deviation value WPi with the preset error frequency representation threshold value and the preset error frequency deviation threshold value, if the error frequency representation value WBi is smaller than the preset error frequency representation threshold value and the error frequency deviation value WPi is smaller than the preset error frequency deviation threshold value, operating the difference qualified signal, and otherwise generating the operating difference unqualified signal.
The operation difference analysis module sends the operation difference qualified signal or the operation difference unqualified signal and the corresponding working procedure i to the server, the server sends the operation difference qualified signal or the operation difference unqualified signal to the automobile production control terminal, no feedback is needed after a supervisory person of the automobile production control terminal receives the operation difference qualified signal, and the supervisory person of the automobile production control terminal receives the operation difference unqualified signal, should strengthen the operation training of relevant staff belonging to the automobile working procedure and select to tune away the relevant staff from the corresponding working procedure according to the requirement.
Examples
The difference between this embodiment and embodiments 1 and 2 is that the analysis process of the process equipment analysis module further includes the following steps:
obtaining all the difficult-to-operate equipment in the corresponding analysis procedure i, and carrying out difference calculation on the equipment calendar value SLig of the difficult-to-operate equipment and the preset equipment calendar threshold value of the corresponding equipment to obtain the calendar deviation value LPig of the corresponding difficult-to-operate equipment in the corresponding analysis procedure i, wherein the calendar deviation value LPig represents the deviation degree of the corresponding difficult-to-operate equipment, and the larger the value of the calendar deviation value LPig is, the worse the use effect of the corresponding equipment is, the more prone to being scrapped and eliminated;
the method comprises the steps that a preset calendar condition deviation threshold value of corresponding difficult-to-operate equipment is called through a data storage module, the calendar condition deviation value is compared with the corresponding preset calendar condition deviation threshold value in a numerical mode, if the calendar condition deviation value LPig is larger than or equal to the corresponding preset calendar condition deviation threshold value, an equipment elimination signal is generated, and the equipment elimination signal and the corresponding difficult-to-operate equipment are sent to a server; if the calendar state deviation value LPig is smaller than the corresponding preset calendar state deviation threshold value, no equipment elimination signal is generated.
The server sends the equipment elimination signal and the corresponding equipment difficult to operate in the corresponding analysis procedure i to the automobile production control terminal, and a supervisory person of the automobile production control terminal receives the equipment elimination signal and then eliminates the corresponding equipment in time and replaces the corresponding new equipment, so that the safe and stable production of the automobile production line is further ensured, and the potential safety hazard in the production process of the automobile production line is reduced.
The working principle of the invention is as follows: when the automobile production line is used, the process equipment analysis is carried out through the process equipment analysis module, the corresponding analysis equipment g is marked as difficult-to-operate equipment or easy-to-operate equipment, the process safety analysis module carries out process safety analysis, the corresponding analysis process i is marked as high-risk process or low-risk process, the staff operation analysis module carries out staff operation analysis, the corresponding analysis staff u is marked as high-skilled worker or low-skilled worker, effective combination of process equipment analysis, process safety analysis and staff analysis is realized, improvement measures such as process staff adjustment are facilitated for supervision staff to accurately carry out, safe and stable production of the automobile production line is guaranteed, and potential safety hazards in the production process of the automobile production line are reduced.
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 monitoring data processing system based on the automobile safety production is characterized by comprising a server, a data storage module, a process equipment analysis module, a process safety analysis module, an employee operation analysis module and an operation difference analysis module, wherein the server is in communication connection with the data storage module, the process equipment analysis module, the process safety analysis module, the employee operation analysis module and the operation difference analysis module, and the server is in communication connection with an automobile production management and control terminal;
the server generates a process equipment analysis signal and sends the process equipment analysis signal to a process equipment analysis module, wherein the process equipment analysis module is used for carrying out process equipment analysis after receiving the process equipment analysis signal, marking the corresponding analysis equipment g as difficult operation equipment or easy operation equipment, and sending the difficult operation equipment or easy operation equipment and the corresponding analysis equipment g of the corresponding analysis process i to the server;
the server generates a process safety analysis signal and sends the process safety analysis signal to a process safety analysis module, wherein the process safety analysis module is used for carrying out process safety analysis after receiving the process safety analysis signal, marking a corresponding analysis process i as a high-risk process or a low-risk process, and sending the low-risk process or the high-risk process and the corresponding analysis process i to the server;
the server generates an operation analysis signal and sends the operation analysis signal to an employee operation analysis module, and the employee operation analysis module is used for carrying out employee operation analysis after receiving the operation analysis signal, marking a corresponding analysis employee u as a high-skilled worker or a low-skilled worker, and sending the high-skilled worker or the low-skilled worker and the corresponding analysis employee u of the corresponding analysis procedure i to the server;
the server generates an operation difference analysis signal and sends the operation difference analysis signal to the operation difference analysis module, the operation difference analysis module is used for carrying out operation difference analysis after receiving the operation difference analysis signal and generating an operation difference qualified signal or an operation difference unqualified signal, and the operation difference qualified signal or the operation difference unqualified signal and the corresponding procedure i are sent to the server.
2. The system for processing monitoring data based on the safety production of automobiles as claimed in claim 1, wherein the process equipment analysis process of the process equipment analysis module comprises:
the method comprises the steps of obtaining processing procedures in an automobile production line, marking the processing procedures in the automobile production line as analysis procedures i, i= {1,2, …, n }, wherein n represents the number of the processing procedures in the automobile production line and n is a positive integer greater than 1; all processing equipment corresponding to the analysis procedure i is obtained, the processing equipment corresponding to the analysis procedure i is marked as analysis equipment g, g= {1,2, …, m }, m represents the number of the processing equipment corresponding to the analysis procedure i and m is a positive integer greater than or equal to 1;
acquiring a device calendar condition value of a corresponding analysis device g of a corresponding analysis process i through analysis, calling a preset device calendar condition threshold value of the corresponding device through a data storage module, comparing the device calendar condition value with the preset device calendar condition threshold value of the corresponding device, marking the corresponding analysis device g of the corresponding analysis process i as an difficult operation device if the device calendar condition value is larger than or equal to the preset device calendar condition threshold value of the corresponding device, and marking the corresponding analysis device g of the corresponding analysis process i as the easy operation device if the device calendar condition value is smaller than the preset device calendar condition threshold value of the corresponding device.
3. The system for processing monitoring data based on the safety production of automobiles according to claim 2, wherein the method for analyzing and acquiring the equipment calendar value is as follows:
acquiring equipment calendar information of the corresponding analysis equipment g in the corresponding analysis procedure i, wherein the equipment calendar information comprises the starting use date of the analysis equipment g and the expiration date of the equipment life period, acquiring a current date, calculating the difference between the current date and the expiration date of the equipment life period to acquire an end-of-life time value, and calculating the difference between the current date and the starting use date to acquire an application time value; and obtaining the number of times of the operation faults of the analysis equipment g in the historical operation stage, marking the times as the commissioned frequency value, and carrying out numerical calculation on the commissioned frequency value, the commissioned time value and the service life time value to obtain the equipment calendar state value.
4. The system for processing monitoring data based on the safety production of automobiles according to claim 2, wherein the analyzing process of the process equipment analyzing module further comprises the steps of:
obtaining all the difficult-to-operate equipment in the corresponding analysis procedure i, calculating the difference value between the equipment calendar value of the difficult-to-operate equipment and the preset equipment calendar threshold value of the corresponding equipment to obtain the calendar deviation value of the corresponding difficult-to-operate equipment in the corresponding analysis procedure i, calling the preset calendar deviation threshold value of the corresponding difficult-to-operate equipment through the data storage module, comparing the calendar deviation value with the corresponding preset calendar deviation threshold value, and generating an equipment elimination signal and sending the equipment elimination signal to the server if the calendar deviation value is greater than or equal to the corresponding preset calendar deviation threshold value.
5. The system for processing monitoring data based on the safety production of the automobile according to claim 1, wherein the process safety analysis process of the process safety analysis module comprises:
all the difficult-to-operate equipment and easy-to-operate equipment in the analysis process i are obtained, the number of the difficult-to-operate equipment and the number of the easy-to-operate equipment in the analysis process i are marked as equipment difficult-to-operate values and equipment easy-to-operate values, and the ratio of the equipment difficult-to-operate values to the equipment easy-to-operate values is calculated to obtain the process difficulty; the method comprises the steps of obtaining the number of safety accidents of an analysis process i in unit time, marking the number as an accident frequency value, obtaining an accident influence value, wherein the accident influence value is a data value representing the degree of personnel injury and property loss caused by corresponding safety accidents, and carrying out numerical calculation on the accident frequency value and the accident influence to obtain a process risk value;
and the data storage module is used for calling a preset process difficulty threshold value and a preset process risk threshold value corresponding to the analysis process i, comparing the process difficulty level and the process risk value with the preset process difficulty threshold value and the preset process risk threshold value respectively, and if the process difficulty level and the process risk value are smaller than or equal to the corresponding preset threshold value, marking the corresponding process i as a low-risk process, and marking the corresponding process i as a high-risk process in the rest cases.
6. The system for monitoring and data processing based on the safety production of automobiles as claimed in claim 1, wherein the staff operation analysis process of the staff operation analysis module comprises:
all staff corresponding to the analysis procedure i are obtained, the staff corresponding to the analysis procedure i is marked as analysis staff u, u= {1,2, …, j }, j represents the number of staff corresponding to the analysis procedure i and j is a positive integer greater than or equal to 1; acquiring the total on-duty time of the corresponding analysis staff u in the corresponding process in the analysis process i and marking the total on-duty time as an operation experience value, and acquiring the operation error times of the corresponding analysis staff u in the analysis process i in unit time and marking the operation error frequency value;
the method comprises the steps that a preset operation experience threshold value and a preset operation error frequency threshold value corresponding to an analysis procedure i are called through a data storage module, the operation experience value and the operation error frequency value are respectively compared with the preset operation experience threshold value and the preset operation error frequency threshold value corresponding to the analysis procedure i, and if the operation experience value is greater than or equal to the preset operation experience threshold value and the operation error frequency value is less than or equal to the preset operation error frequency threshold value, a corresponding analysis staff u corresponding to the analysis procedure i is marked as a high-skilled worker;
and in other cases, carrying out numerical calculation on the operation error frequency value and the operation experience value to obtain the operation proficiency of the corresponding analysis staff u of the corresponding analysis procedure i, calling a preset operation proficiency threshold value of the corresponding analysis procedure i through a data storage module, carrying out numerical comparison on the operation proficiency and the preset operation proficiency threshold value, marking the corresponding analysis staff u of the corresponding analysis procedure i as a high-proficiency worker if the operation proficiency is greater than or equal to the preset operation proficiency threshold value, and marking the corresponding analysis staff u of the corresponding analysis procedure i as a low-proficiency worker if the operation proficiency is less than the preset operation proficiency threshold value.
7. The system for processing monitoring data based on the safety production of automobiles according to claim 1, wherein the specific operation process of the operation variability analyzing module comprises:
acquiring operation error frequency values of analysis staff u in an analysis procedure i, establishing procedure error frequency sets of operation error frequency values of all the analysis staff u corresponding to the analysis procedure i, and carrying out mean value calculation and variance calculation on the procedure error frequency sets to acquire error frequency representation values and error frequency deviation values; and (3) calling a preset error frequency representation threshold value and a preset error frequency deviation threshold value corresponding to the analysis procedure i through a data storage module, respectively comparing the error frequency representation value and the error frequency deviation value with the preset error frequency representation threshold value and the preset error frequency deviation threshold value, and if the error frequency representation value is smaller than the preset error frequency representation threshold value and the error frequency deviation value is smaller than the preset error frequency deviation threshold value, generating an operation difference qualified signal, and otherwise generating an operation difference unqualified signal.
8. The system for monitoring and data processing based on the safe production of the automobile according to claim 4, wherein the server sends the equipment eliminating signal and the corresponding equipment difficult to operate in the corresponding analysis process i to the automobile production control terminal, and a supervisory person of the automobile production control terminal should eliminate the corresponding equipment and replace the corresponding new equipment in time after receiving the equipment eliminating signal.
9. The system for processing monitoring data based on the safe production of the automobile according to claim 1, wherein the server transmits the equipment which is difficult to operate or easy to operate and the corresponding analysis equipment g of the corresponding analysis procedure i to the automobile production control terminal, transmits the low-risk procedure or the high-risk procedure and the corresponding analysis procedure i to the automobile production control terminal, and transmits the high-skilled worker or the low-skilled worker and the corresponding analysis staff u of the corresponding analysis procedure i to the automobile production control terminal; the supervisory personnel of the automobile production control terminal arrange low-skilled workers in the high-risk working procedure into the low-risk working procedure according to the requirements, arrange the low-skilled workers in the low-risk working procedure into easy-to-operate equipment in the corresponding working procedure, arrange the high-skilled workers in the corresponding working procedure into difficult-to-operate equipment, and strengthen the safety training of corresponding staff in the high-risk working procedure.
10. The monitoring data processing system based on the automobile safety production according to claim 1, wherein the server sends the operation difference qualified signal or the operation difference unqualified signal to the automobile production control terminal, a supervisory person of the automobile production control terminal does not need to make any feedback after receiving the operation difference qualified signal, and the supervisory person of the automobile production control terminal should strengthen operation training on related staff of the automobile processing procedure after receiving the operation difference unqualified signal and select to tune the related staff away from the corresponding processing procedure according to the need.
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| CN202310105605.6A CN116307365A (en) | 2023-02-13 | 2023-02-13 | Monitoring data processing system based on automobile safety production |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117314065A (en) * | 2023-09-18 | 2023-12-29 | 浙江聚衣堂服饰有限公司 | Digitalized integrated system for clothing workshop |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117314065A (en) * | 2023-09-18 | 2023-12-29 | 浙江聚衣堂服饰有限公司 | Digitalized integrated system for clothing workshop |
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