CN117455318B - Monitoring method and device for automobile part detection process and electronic equipment - Google Patents

Monitoring method and device for automobile part detection process and electronic equipment Download PDF

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Publication number
CN117455318B
CN117455318B CN202311785235.1A CN202311785235A CN117455318B CN 117455318 B CN117455318 B CN 117455318B CN 202311785235 A CN202311785235 A CN 202311785235A CN 117455318 B CN117455318 B CN 117455318B
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detection
abnormal
data
determining
equipment
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CN117455318A (en
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盛立松
张芳明
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Magna Automotive Powertrain Tianjin Co ltd
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Magna Automotive Powertrain Tianjin Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465—Query processing support for facilitating data mining operations in structured databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/1417—2D bar codes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Abstract

The application relates to a monitoring method and device for an automobile part detection process and electronic equipment. The monitoring system applied to the automobile part detection process comprises detection equipment and a server, wherein the method is executed by the server and comprises the following steps of; acquiring detection data generated by detecting automobile parts by detecting equipment, analyzing the detection data, and determining whether abnormal data exist; if abnormal data exist, determining abnormal conditions according to the generation time of the abnormal data; and extracting and displaying the key information in the abnormal condition according to a preset display mode. Through the key information of show, know fast and master the condition of car spare part, in time discover and handle potential problem, practice thrift staff's analysis time, improve work efficiency, reduce labour cost. And the detection data is directly and comprehensively analyzed by the method, so that the careless omission of manual analysis can be avoided, and the analysis error rate is reduced.

Description

Monitoring method and device for automobile part detection process and electronic equipment
Technical Field
The application relates to the field of automobile part detection, in particular to a monitoring method and device for an automobile part detection process and electronic equipment.
Background
After the automobile parts are produced, qualification detection is generally required, and the manufacturing quality and the process of each part can be ensured to meet relevant standards through qualification detection of the automobile parts, so that the quality of the automobile is ensured. This plays a vital role in the safety, reliability and longevity of automobiles. After the automobile parts are manufactured, the automobile parts enter a detection workshop to detect various performances, quality and the like, so that whether the automobile parts are qualified or not is judged. The corresponding detection equipment can generate a detection report of the automobile part in the detection process, so that the subsequent analysis is convenient.
At present, the analysis of the detection report is generally carried out by extracting and printing from a database for storing the detection report to obtain a paper detection report, and then professional staff carries out the analysis one by one to obtain the conclusion that certain automobile parts are unqualified or have other problems.
However, manual analysis of detection reports requires highly specialized personnel, and the number of qualified detection projects for the automobile parts is very large, if different detection equipment detects different projects, the automobile parts can generate a plurality of detection reports corresponding to the detection projects, and therefore, the professional personnel are required to spend more time or stop the ongoing work in hands to analyze the reports, and the unqualified reasons are determined, so that the labor cost is increased to a certain extent, the working efficiency is reduced, and in addition, analysis careless errors and analysis errors can occur due to the fact that the detection projects are more.
Disclosure of Invention
The application provides a monitoring method and device for an automobile part detection process and electronic equipment, and aims to solve the technical problems.
In a first aspect, the present application provides a method for monitoring a detection process of an automobile part, which is applied to a monitoring system of a detection process of an automobile part, where the monitoring system of a detection process of an automobile part includes a detection device and a server, and the method is executed by the server, and includes;
acquiring detection data generated by detecting the automobile parts by the detection equipment, analyzing the detection data, and determining whether abnormal data exist; the detection data comprise detection results of all detection items of the automobile parts;
if the abnormal data exist, determining an abnormal condition according to the generation time of the abnormal data;
and extracting and displaying the key information in the abnormal condition according to a preset display mode.
Through the scheme provided by the application, after the detection data generated by the detection equipment for detecting the automobile parts are obtained, the detection data of the automobile parts detected by the detection equipment are comprehensively analyzed, and whether abnormal data exist is determined. If one or more of the detected data is outside the normal range, then the presence of anomalous data is deemed to be present. If abnormal data exist, determining abnormal conditions according to the generation time of the abnormal data, and extracting and displaying key information according to a preset display mode. Through the mode, the situation of the automobile parts can be quickly known and mastered through the displayed key information, potential problems can be timely found and processed, analysis time of workers is saved, working efficiency is improved, and labor cost is reduced. And the detection data is directly and comprehensively analyzed by the method, so that the careless omission of manual analysis can be avoided, and the analysis error rate is reduced.
Optionally, the detecting device includes a code scanning device, and before obtaining the detection data generated by the detecting device to detect the automobile part, the method includes:
a task list to be detected at the current moment is called, and whether a detection task exists at the current moment is determined;
if the detection task exists at the current moment, detecting whether an automobile part exists on the detection equipment at the current moment;
if the fact that the automobile part exists at the current moment is determined, sending a starting signal to the code scanning device and receiving a code scanning result obtained after the code scanning device scans a two-dimensional code label on the surface of the automobile part;
and determining basic information of the automobile parts on the detection equipment according to the code scanning result.
According to the scheme provided by the embodiment, whether a detection task exists currently or not is determined by utilizing the task list to be detected, and whether an automobile part exists on the detection equipment at the current moment or not is further detected when the detection task exists. If the automobile part exists, sending a starting signal to the code scanning device, and receiving a code scanning result obtained after the code scanning device scans the two-dimensional code label on the surface of the automobile part. And determining basic information of the automobile parts on the detection equipment according to the code scanning result. In addition, the information of the automobile parts can be obtained by scanning the two-dimension code label without human confirmation, so that the working efficiency is greatly improved.
Optionally, the acquiring the detection data generated by the detection device to detect the automobile part includes:
acquiring data to be tidied of the detection equipment;
classifying the data to be sorted according to the data types of the automobile parts to obtain the part data of the automobile parts;
and classifying the component data according to the basic information to obtain detection data corresponding to the automobile component.
Through the scheme provided by the embodiment, firstly, the data to be sorted of the detection equipment is obtained, and then, the data to be sorted is classified according to the data types of the automobile parts. After classification is completed, the component data of the automobile component can be obtained. And finally, classifying the component data according to the basic information. After the classification is completed, detection data corresponding to the automobile parts can be obtained. The method can more simply obtain the detection data of the automobile parts, does not need to disassemble or analyze the data, directly performs primary division according to the data types, then utilizes the basic information to match the corresponding data, saves the data processing time and saves the data processing pressure of the server.
Optionally, the determining the abnormal condition according to the generation time of the abnormal data includes:
determining an abnormal part corresponding to the abnormal data according to the generation time of the abnormal data;
the basic information corresponding to the abnormal parts is called, and target detection equipment for detecting the abnormal parts is determined;
the equipment information of the target detection equipment is called, and detection items corresponding to the abnormal data are determined according to the basic information corresponding to the abnormal parts and the equipment information;
invoking a qualified threshold value corresponding to the detection item, and comparing the abnormal data with the qualified threshold value corresponding to the detection item to obtain a comparison result;
and determining abnormal conditions according to the comparison result.
Through the scheme provided by the embodiment, the condition of the abnormal part can be known simply by analyzing the abnormal condition by using the qualified threshold value, and meanwhile, the processing of data can be reduced, and the efficiency is improved.
Optionally, the extracting and displaying the key information in the abnormal situation according to a preset display mode includes:
according to the detection task, determining a display item, and selecting a display template from a preset display mode according to the display item;
Screening specific contents in the abnormal condition according to the display items, determining data corresponding to the display items, and taking the data corresponding to the display items as key information;
and displaying the key information based on the display template.
According to the scheme provided by the embodiment, the displayed content can be adjusted more flexibly according to the detection task, and the problem that staff do not find a problem in time due to a unchanged displayed item is avoided. Correspondingly, the display content of the interface can be flexibly adjusted, so that the observation of staff can be facilitated, and the working efficiency is improved.
Optionally, the detection device includes an abnormality detection apparatus, and the method further includes:
when the abnormal data exists in the detection data, an abnormal detection signal is sent to the target detection equipment, so that the target detection equipment starts the abnormal detection device after receiving the abnormal detection signal;
receiving a detection result of the abnormality detection device, and determining whether the abnormal part has a defect;
if the abnormal part is determined to have a defect, determining a defect type according to a detection result;
determining a production machine tool according to the basic information of the abnormal parts, and sending the defect type to a display system of the production machine tool;
If the abnormal part is determined to have no defect, the operation data of the target detection equipment are called and analyzed, and whether the target detection equipment has an abnormality or not is determined;
if the target detection equipment is abnormal, determining an abnormal area according to the operation data and displaying the abnormal area.
Through the scheme that this embodiment provided, can confirm the unusual condition of unusual spare part through unusual detection device to send the display system to corresponding production lathe, make the staff who corresponds the production lathe know this condition in time, carry out the inspection of production lathe, reduce the appearance of more unusual spare parts. In addition, if the abnormal parts do not have any abnormal conditions, whether the abnormal parts are caused by detection errors due to the problems of the target detection equipment can be determined according to the operation data of the target detection equipment, so that when the abnormal parts are in problems, abnormal areas are determined and displayed, workers can timely maintain the abnormal parts, and the situation that more automobile parts are misjudged is reduced.
Optionally, the method further comprises:
determining whether the detection task is finished at the current moment according to the detection speed of the detection equipment and the detection quantity of the automobile parts;
If the detection task is determined to be completed at the current moment, determining a detection result of each automobile part according to the basic information;
and counting the detection results, determining the qualification rate and displaying.
Through the scheme provided by the embodiment, after the detection task is completed, the detection result is counted by utilizing the basic information, so that the qualification rate of the detection task is obtained, and the qualification rate of the detection task is displayed so that the staff can know the qualification rate of the detection task. And the subsequent adjustment of the preparation scheme of the automobile parts is also convenient for the staff according to the qualification rate.
In a second aspect, the present application provides a monitoring device for detecting an entire process of an automobile part, including:
the data analysis module is used for acquiring detection data generated by detecting equipment for detecting the automobile parts, analyzing the detection data and determining whether abnormal data exist or not; the detection data comprise detection results of all detection items of the automobile parts;
the condition determining module is used for determining abnormal conditions according to the generation time of the abnormal data if the abnormal data exist;
and the information display module is used for extracting and displaying the key information in the abnormal condition according to a preset display mode.
Optionally, the detection device includes a code scanning device, and the monitoring device for the whole detection process of the automobile part further includes an information acquisition module, configured to:
a task list to be detected at the current moment is called, and whether a detection task exists at the current moment is determined;
if the detection task exists at the current moment, detecting whether an automobile part exists on the detection equipment at the current moment;
if the fact that the automobile part exists at the current moment is determined, sending a starting signal to the code scanning device and receiving a code scanning result obtained after the code scanning device scans a two-dimensional code label on the surface of the automobile part;
and determining basic information of the automobile parts on the detection equipment according to the code scanning result.
Optionally, the data analysis module is specifically configured to:
acquiring data to be tidied of the detection equipment;
classifying the data to be sorted according to the data types of the automobile parts to obtain the part data of the automobile parts;
and classifying the component data according to the basic information to obtain detection data corresponding to the automobile component.
Optionally, the case determination module is specifically configured to:
Determining an abnormal part corresponding to the abnormal data according to the generation time of the abnormal data;
the basic information corresponding to the abnormal parts is called, and target detection equipment for detecting the abnormal parts is determined;
the equipment information of the target detection equipment is called, and detection items corresponding to the abnormal data are determined according to the basic information corresponding to the abnormal parts and the equipment information;
invoking a qualified threshold value corresponding to the detection item, and comparing the abnormal data with the qualified threshold value corresponding to the detection item to obtain a comparison result;
and determining abnormal conditions according to the comparison result.
Optionally, the information display module is specifically configured to:
according to the detection task, determining a display item, and selecting a display template from a preset display mode according to the display item;
screening specific contents in the abnormal condition according to the display items, determining data corresponding to the display items, and taking the data corresponding to the display items as key information;
and displaying the key information based on the display template.
Optionally, the detecting device includes an abnormality detecting device, and the monitoring device for detecting the whole process of the automobile part further includes an abnormality detecting module, configured to:
When the abnormal data exists in the detection data, an abnormal detection signal is sent to the target detection equipment, so that the target detection equipment starts the abnormal detection device after receiving the abnormal detection signal;
receiving a detection result of the abnormality detection device, and determining whether the abnormal part has a defect;
if the abnormal part is determined to have a defect, determining a defect type according to a detection result;
determining a production machine tool according to the basic information of the abnormal parts, and sending the defect type to a display system of the production machine tool;
if the abnormal part is determined to have no defect, the operation data of the target detection equipment are called and analyzed, and whether the target detection equipment has an abnormality or not is determined;
if the target detection equipment is abnormal, determining an abnormal area according to the operation data and displaying the abnormal area.
Optionally, the monitoring device for the whole detection process of the automobile parts further comprises a data statistics module, wherein the data statistics module is used for:
determining whether the detection task is finished at the current moment according to the detection speed of the detection equipment and the detection quantity of the automobile parts;
If the detection task is determined to be completed at the current moment, determining a detection result of each automobile part according to the basic information;
and counting the detection results, determining the qualification rate and displaying.
In a third aspect, the present application provides an electronic device, comprising: a memory and a processor, the memory having stored thereon a computer program capable of being loaded by the processor and performing the method of the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program capable of being loaded by a processor and performing the method of the first aspect.
According to the monitoring method, the monitoring device and the electronic equipment for the automobile part detection process, after detection data generated by the automobile part detected by the detection equipment are obtained, the detection data of the automobile part detected by the detection equipment are comprehensively analyzed, and whether abnormal data exist or not is determined. If one or more of the detected data is outside the normal range, then the presence of anomalous data is deemed to be present. If abnormal data exist, determining abnormal conditions according to the generation time of the abnormal data, and extracting and displaying key information according to a preset display mode. Through the mode, the situation of the automobile parts can be quickly known and mastered through the displayed key information, potential problems can be timely found and processed, analysis time of workers is saved, working efficiency is improved, and labor cost is reduced. And the detection data is directly and comprehensively analyzed by the method, so that the careless omission of manual analysis can be avoided, and the analysis error rate is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief description will be given below of the drawings that are needed in the embodiments or the prior art descriptions, it being obvious that the drawings in the following description are some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;
FIG. 2 is a flowchart of a monitoring method for detecting an automobile part according to an embodiment of the present application;
FIG. 3 is a diagram showing the effect of a webpage of an automatic monitoring system for detecting data according to an embodiment of the present application;
FIG. 4 is a diagram showing the summary effect of detection data according to an embodiment of the present application;
FIG. 5 is an effect display diagram of a detection report collecting function according to an embodiment of the present application;
FIG. 6 is a diagram showing the effect of the automatic determination function after operation of the detection data according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a monitoring device for an automobile part detection process according to an embodiment of the present application;
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Description of the embodiments
In order to make the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
At present, the analysis of the detection report is generally carried out by extracting and printing from a database for storing the detection report to obtain a paper detection report, and then professional staff carries out the analysis one by one to obtain the conclusion that certain automobile parts are unqualified or have other problems.
However, manual analysis of detection reports requires highly specialized personnel, and the number of qualified detection projects for the automobile parts is very large, if different detection equipment detects different projects, the automobile parts can generate a plurality of detection reports corresponding to the detection projects, and therefore, the professional personnel are required to spend more time or stop the ongoing work in hands to analyze the reports, and the unqualified reasons are determined, so that the labor cost is increased to a certain extent, the working efficiency is reduced, and in addition, analysis careless errors and analysis errors can occur due to the fact that the detection projects are more.
Based on the above, the application provides a monitoring method and device for an automobile part detection process and electronic equipment. After the detection data generated by the detection equipment for detecting the automobile parts are obtained, the detection data of the automobile parts detected by the detection equipment are comprehensively analyzed, and whether abnormal data exist or not is determined. If one or more of the detected data is outside the normal range, then the presence of anomalous data is deemed to be present. If abnormal data exist, determining abnormal conditions according to the generation time of the abnormal data, and extracting and displaying key information according to a preset display mode. Through the mode, the situation of the automobile parts can be quickly known and mastered through the displayed key information, potential problems can be timely found and processed, analysis time of workers is saved, working efficiency is improved, and labor cost is reduced. And the detection data is directly and comprehensively analyzed by the method, so that the careless omission of manual analysis can be avoided, and the analysis error rate is reduced.
Fig. 1 is a schematic view of an application scenario provided in the present application. When the time is saved and the detection efficiency is improved in some automobile part production workshops, the scheme provided by the application can be utilized. The scheme of the application is carried in any one server, detection data of detection equipment are obtained through connection with the detection equipment in a workshop, then the detection data are analyzed to determine whether abnormal data exist, when the abnormal data exist, the abnormal condition is determined according to the generation time, key information in the abnormal condition is extracted, and the abnormal condition is displayed by using a preset display mode. The analysis time of staff is saved, the working efficiency is improved, and the labor cost is reduced. And the detection data is directly and comprehensively analyzed by the method, so that the careless omission of manual analysis can be avoided, and the analysis error rate is reduced.
Reference may be made to the following examples for specific implementation.
Fig. 2 is a flowchart of a monitoring method for an automobile part detection process according to an embodiment of the present application, where the method of the present embodiment may be applied to a server in the above scenario. As shown in fig. 2, the method includes:
s201, acquiring detection data generated by detecting the automobile parts by the detection equipment, analyzing the detection data, and determining whether abnormal data exist.
When the detection device is started, a starting signal of the detection device is received, at this time, a data acquisition request can be initiated to the detection device, and after the detection device receives the request, detection data generated by the automobile part can be detected, wherein the detection data comprises detection results of all detection items of the automobile part. And transmitting the data to the server through the established channel.
After the detection data is obtained, the qualified data of the same type of automobile parts in the historical period can be utilized to match the detection data of the same type with the corresponding qualified data, and the matching degree between the detection data and the corresponding qualified data is determined, so that whether the automobile parts have abnormal data or not is determined according to the matching degree and a preset matching threshold value. In a specific implementation manner, a plurality of preset matching thresholds, such as a qualification threshold, an early warning threshold and the like, can be set, and when the matching degree is higher than the qualification threshold, the automobile part can be considered to be qualified; if the matching degree is between the qualification threshold and the early warning threshold, the automobile part can be considered to be qualified but needs to be checked; if the matching degree is smaller than the early warning threshold value, the matching degree is considered as unqualified. In order to ensure the use safety and the service life of the automobile parts, all detection data corresponding to the automobile parts with the matching degree lower than the qualification threshold value can be used as abnormal data.
In a specific implementation, whether the automobile part is abnormal or not can be determined by setting an upper tolerance, a lower tolerance and an upper warning line. The failure/early warning item single value chart shown in fig. 3 allows the detected data to float up and down, for example, above the lower tolerance line and below the upper guard line, and can be regarded as the detected item of the automobile part is qualified, but if above the upper guard line and below the upper tolerance line, early warning is required, and if above the upper tolerance line, failure is regarded as being detected. The detection data corresponding to the early-warning automobile parts and unqualified parts can be used as abnormal data.
S202, if abnormal data exist, determining abnormal conditions according to generation time of the abnormal data.
The generation time of the abnormal data can be determined by detecting the transmission time of the equipment or the output time of the data, when the transmission is carried out, in order to facilitate the determination of the source of the detected data, the corresponding output time or transmission time can be transmitted to a server together to serve as the generation time of the detected data, when the abnormal data is determined to exist, the corresponding generation time can be called to determine the source of the abnormal data, and the content comprises a plurality of contents such as the type of the detected automobile part, the serial number, the abnormal position, the belonging processing equipment, the abnormal item, the abnormal data and the like, and the contents are taken as abnormal conditions.
S203, extracting and displaying key information in abnormal conditions according to a preset display mode.
The preset display mode can be considered as a form of displaying a preset expected after analysis, and specific reference can be made to fig. 3, where an MEB (extensible car modular platform, module Expendable Bodies) and an MQB (transverse engine modular platform, modular Transverse Matrix) can be understood as detection devices corresponding to the MEB and the MQB, and the contents in the following several boxes represent the names of the corresponding detection devices respectively; the histogram corresponding to the equipment quality state can reflect the distribution condition of the detection result of the corresponding detection equipment, and whether the equipment is unstable or not can be analyzed through the distribution state; the disqualification/early warning project single value graph can be regarded as a specific display of the result of the automobile part detected by a certain detection device; the pie chart corresponding to the qualification rate of the order can be considered as feedback obtained by statistics of the detection result after the detection task is finished; the order completion progress is displayed according to the progress result obtained by calculating the total number of the detection tasks and the current completion number; the accurate detection task state list can be regarded as a summary of a plurality of detection tasks, and when the detection tasks are received or in progress, the information corresponding to the detection tasks can be obtained and displayed according to all the information such as the detection data obtained at present; the unqualified/early-warning list comprises unqualified automobile part information and early-warning automobile part information, so that workers can see the information in time and adjust the information.
In a specific implementation manner, in order to distinguish between pass, fail and early warning, corresponding colors can be set for distinguishing, for example, red is failed, yellow is early warning and green is qualified, so that staff can clearly see the state of the detection equipment and whether automobile parts are qualified or not through the colors.
After the abnormal situation is obtained through the steps, the corresponding key information is extracted according to a plurality of categories displayed in a preset display mode, and the key information is displayed according to display requirements, such as a disqualification/early warning list shown in fig. 3.
Through the scheme provided by the application, after the detection data generated by the detection equipment for detecting the automobile parts are obtained, the detection data of the automobile parts detected by the detection equipment are comprehensively analyzed, and whether abnormal data exist is determined. If one or more of the detected data is outside the normal range, then the presence of anomalous data is deemed to be present. If abnormal data exist, determining abnormal conditions according to the generation time of the abnormal data, and extracting and displaying key information according to a preset display mode. Through the mode, the situation of the automobile parts can be quickly known and mastered through the displayed key information, potential problems can be timely found and processed, analysis time of workers is saved, working efficiency is improved, and labor cost is reduced. And the detection data is directly and comprehensively analyzed by the method, so that the careless omission of manual analysis can be avoided, and the analysis error rate is reduced.
In some embodiments, a task list to be detected at the current moment is called, and whether a detection task exists at the current moment is determined; if the detection task exists at the current moment, detecting whether an automobile part exists on the detection equipment at the current moment; if the fact that the automobile part exists at the current moment is determined, sending a starting signal to the code scanning device, and receiving a code scanning result obtained after the code scanning device scans the two-dimensional code label on the surface of the automobile part; and determining basic information of the automobile parts on the detection equipment according to the code scanning result.
The task list to be detected may be regarded as tasks for which detection has not been started, wherein each task may comprise a plurality of automobile parts to be detected.
In order to distinguish each automobile part conveniently, a two-dimensional code label is given to the prepared automobile part which needs to be detected in the production process, and the two-dimensional code label contains all basic information of the automobile part, such as model, preparation time, part number and the like, so that a code scanning device is arranged in the detection equipment and used for scanning the two-dimensional code label on the automobile part. In addition, an imaging device can be provided in the region of the detection device for monitoring the operation of the detection device.
Specifically, all task lists to be detected at the current moment are called, whether detection tasks exist at the current moment or not is determined according to task time, if yes, whether the detection equipment is running or is about to run is indicated, at the moment, a shooting picture of the camera device can be called, whether automobile parts exist on the detection equipment at the current moment or not is determined, if yes, whether the detection equipment starts running to detect can be indicated, at the moment, a starting signal can be sent to the code scanning device, the code scanning device is enabled to start and scan two-dimensional code labels of the automobile parts on the detection equipment, and a code scanning result is uploaded, so that basic information of the automobile parts is obtained.
According to the scheme provided by the embodiment, whether a detection task exists currently or not is determined by utilizing the task list to be detected, and whether an automobile part exists on the detection equipment at the current moment or not is further detected when the detection task exists. If the automobile part exists, sending a starting signal to the code scanning device, and receiving a code scanning result obtained after the code scanning device scans the two-dimensional code label on the surface of the automobile part. And determining basic information of the automobile parts on the detection equipment according to the code scanning result. In addition, the information of the automobile parts can be obtained by scanning the two-dimension code label without human confirmation, so that the working efficiency is greatly improved.
In some embodiments, obtaining data to be consolidated of the detection device; classifying the data to be sorted according to the data types of the automobile parts to obtain the part data of the automobile parts; and classifying the component data according to the basic information to obtain detection data corresponding to the automobile components.
Because the detection speed of the detection device is fast, new detection data can be generated if all detection items of a certain automobile part are not completely uploaded, and at the moment, the situation that the detection data of a plurality of automobile parts are mixed together can occur, and although each item is divided, the situation that which detection data belongs to which automobile part still cannot be distinguished in the first time can be considered as data to be tidied. In addition, data such as the model number of the inspection apparatus, performance parameters of the inspection apparatus, inspection time, and the like may be included.
Because the detection items of each automobile part are different, the data generated after detection are also different, and the detection data corresponding to each detection item have the characteristics of the detection data, different data types can be obtained according to the characteristics of the data, and at the moment, the obtained data to be sorted can be firstly divided once according to the data types, and each data is distinguished to obtain the corresponding part data. When the automobile parts are detected, the automobile parts are bound through the code scanning, at the moment, the data which can be matched with the basic information of the automobile parts can be found out from the data according to the basic information of the automobile parts, and the obtained data can be directly used as the detection data of the automobile parts because the data are divided according to the data types, and the corresponding detection items can be directly determined according to the data types.
Through the scheme provided by the embodiment, firstly, the data to be sorted of the detection equipment is obtained, and then, the data to be sorted is classified according to the data types of the automobile parts. After classification is completed, the component data of the automobile component can be obtained. And finally, classifying the component data according to the basic information. After the classification is completed, detection data corresponding to the automobile parts can be obtained. The method can more simply obtain the detection data of the automobile parts, does not need to disassemble or analyze the data, directly performs primary division according to the data types, then utilizes the basic information to match the corresponding data, saves the data processing time and saves the data processing pressure of the server.
In some embodiments, determining an abnormal part corresponding to the abnormal data according to the generation time of the abnormal data; basic information corresponding to the abnormal parts is called, and target detection equipment for detecting the abnormal parts is determined; the equipment information of the target detection equipment is called, and detection items corresponding to the abnormal data are determined according to the basic information and the equipment information corresponding to the abnormal parts; the qualified threshold value corresponding to the detection item is called, and the abnormal data is compared with the qualified threshold value corresponding to the detection item to obtain a comparison result; and determining abnormal conditions according to the comparison result.
The abnormal automobile parts can be used as the abnormal parts, and because the basic information of a certain detected automobile part is determined through the code scanning device, when abnormal data exist, according to the generation time of the abnormal data, which automobile part is being detected on the detection equipment at the moment can be reversely deduced, so that the abnormal parts can be obtained.
The object detection device may be regarded as a detection device that detects the abnormal component. The device information may be regarded as the content of the device model number, the device parameter, the detectable item, and the like of a certain detection device.
The generation time corresponding to the abnormal data may upload a plurality of information, and specifically referring to the above embodiment, by using the information corresponding to the time, the abnormal part may be directly determined, and the basic information of the abnormal part may be called, and similarly, by using the basic information, the detection device for detecting the abnormal part, that is, the target detection device may be correspondingly detected.
Because a plurality of items of the automobile parts need to be detected, and the detection equipment may not be capable of detecting all the items, there may be a situation that a certain automobile part detects different items on a plurality of detection equipment, at this time, all detection items of the abnormal part need to be determined firstly through basic information of the abnormal part, then according to equipment information of the target detection equipment, detection items of the abnormal part, which can be carried out by the target detection equipment, are determined, and accordingly detection items corresponding to abnormal data are obtained.
Since the qualification criteria of each test item may be different, each test item may correspond to a qualification threshold, where the qualification threshold may be used as a criterion for whether the vehicle component is qualified when the qualification threshold is higher, and the vehicle component may be considered as unacceptable when the qualification threshold is lower. In a specific implementation manner, the automobile parts have production deviation in the production process, so that a plurality of thresholds, such as a qualified threshold, a warning threshold and a disqualified threshold, can be set, and the relationship between the three thresholds is that the qualified threshold is higher than the warning threshold and higher than the disqualified threshold, wherein the qualified threshold is the same as the description above; if the detection result of a certain automobile part is above the warning threshold, but below the qualification threshold, the automobile part preparation can be indicated to have some deviation, but the deviation is insufficient to influence the use; if the detection result of a certain automobile part is below the warning threshold, but the unqualified threshold is not up to the threshold, the fact that the preparation of the automobile part has large deviation possibly affects the use can be indicated; and if the detection result of a certain automobile part is below the reject threshold, indicating that the automobile part is rejected in preparation.
By setting the threshold, the abnormal data is compared with the qualified threshold corresponding to the detection item, so that the abnormal condition of the current abnormal part is determined.
Through the scheme provided by the embodiment, the condition of the abnormal part can be known simply by analyzing the abnormal condition by using the qualified threshold value, and meanwhile, the processing of data can be reduced, and the efficiency is improved.
In some embodiments, according to the detection task, determining a display item, and selecting a display template from a preset display mode according to the display item; screening specific contents in abnormal conditions according to the display items, determining data corresponding to the display items, and taking the data corresponding to the display items as key information; and displaying the key information based on the display template.
In a specific implementation manner, the types of the automobile parts detected by each detection task are different, the detection items may be different, and attention content of staff to the automobile parts may also be different.
According to different display projects, different display templates can be preset, so that workers can know important attention content corresponding to each detection task more conveniently. The method comprises the steps of acquiring display items, analyzing a detection task, determining the types of automobile parts contained in the detection task, and determining a plurality of items of data which are easy to be unqualified in the types through historical data, so that the items are used as the display items, and in some implementations, a worker can set the items to be displayed according to actual requirements.
According to the embodiment, the abnormal situation includes a plurality of contents, which may not be completely displayed, so that specific contents in the abnormal situation can be filtered through the data types corresponding to the display items, the data corresponding to the display items are obtained and used as key information, and the determined display templates are used for displaying.
According to the scheme provided by the embodiment, the displayed content can be adjusted more flexibly according to the detection task, and the problem that staff do not find a problem in time due to a unchanged displayed item is avoided. Correspondingly, the display content of the interface can be flexibly adjusted, so that the observation of staff can be facilitated, and the working efficiency is improved.
In some embodiments, when the abnormal data exists in the detection data, an abnormal detection signal is sent to the target detection device, so that the target detection device starts the abnormal detection device after receiving the abnormal detection signal; receiving a detection result of the abnormality detection device, and determining whether the abnormal part has a defect; if the abnormal part is determined to have defects, determining the defect type according to the detection result; determining a production machine tool according to basic information of the abnormal parts, and sending the defect type to a display system of the production machine tool; if the abnormal parts are determined to be free of defects, the operation data of the target detection equipment are called and analyzed, and whether the target detection equipment is abnormal or not is determined; if the target detection equipment is abnormal, determining an abnormal area according to the operation data and displaying the abnormal area.
An abnormality detecting device may be provided in the detecting apparatus, and the abnormality detecting device may be an imaging device, and by capturing abnormal parts, image recognition is performed on the images to determine whether there is a problem in the preparation of the abnormal parts, such as a part unfilled corner or other defects in the surface. The abnormality detecting device may be a device integrated with the detecting apparatus or may be a device separately provided in the detecting apparatus.
When it is determined that abnormal data exists, an abnormal detection signal can be sent to the target detection device, so that the abnormal detection device is started, abnormal detection is carried out on the abnormal parts, and accordingly whether the abnormal parts have defects or not is determined, if the defects exist, the fact that errors occur in the process of preparing the abnormal parts is indicated, the situation that a production machine tool is unstable is likely to exist, and the problem that preparation parameters exist is likely to exist. At the moment, the type of the defect can be determined according to the detection result, basic information of the abnormal part is simultaneously called, a production machine tool of the abnormal part is determined, and then the defect type is sent to a display system of the production machine tool, so that a worker corresponding to the production machine tool knows the situation in time, the inspection of the production machine tool is carried out, and the occurrence of more abnormal parts is reduced.
In a specific implementation, there may be no problem in the automobile parts themselves, but an abnormality occurs in the detection due to a problem in the detection device. Therefore, if it is determined by the abnormality detection means that there is no problem with the abnormal component, the operation data of the object detection apparatus corresponding to the generation time of the abnormal data may be retrieved, and by comparing the operation data with the historical normal operation data, it is determined whether or not the operation data is abnormal. If the target detection equipment is abnormal, determining an abnormal area which possibly generates the abnormality according to the operation data and displaying the abnormal area.
Through the scheme that this embodiment provided, can confirm the unusual condition of unusual spare part through unusual detection device to send the display system to corresponding production lathe, make the staff who corresponds the production lathe know this condition in time, carry out the inspection of production lathe, reduce the appearance of more unusual spare parts. In addition, if the abnormal parts do not have any abnormal conditions, whether the abnormal parts are caused by detection errors due to the problems of the target detection equipment can be determined according to the operation data of the target detection equipment, so that when the abnormal parts are in problems, abnormal areas are determined and displayed, workers can timely maintain the abnormal parts, and the situation that more automobile parts are misjudged is reduced.
In some embodiments, determining whether the detection task is completed at the current moment according to the detection speed of the detection device and the detection number of the automobile parts; if the detection task at the current moment is determined to be completed, determining a detection result of each automobile part according to the basic information; and counting the detection results, determining the qualification rate and displaying.
Because the detection total amount of each detection task is known, a plurality of detection devices are started simultaneously to detect all automobile parts in order to improve the working efficiency, and therefore, before detection, task allocation is carried out according to the detection task at this time, and the detection total amount of each detection device is planned. At this time, the detection progress of the detection device at the current time may be calculated from the time at which the detection is started according to the detection speed of the detection device and the total detection amount of the detection device, and the current detected amount is compared with the total detection amount of the detection device to obtain the detection progress.
And determining whether the detection task at the current moment is finished according to the detection progress obtained in the mode, if so, determining the detection result of each corresponding automobile part in the detection data according to the basic information, and counting to obtain the qualification rate of the detection task for display.
Through the scheme provided by the embodiment, after the detection task is completed, the detection result is counted by utilizing the basic information, so that the qualification rate of the detection task is obtained, and the qualification rate of the detection task is displayed so that the staff can know the qualification rate of the detection task. And the subsequent adjustment of the preparation scheme of the automobile parts is also convenient for the staff according to the qualification rate.
In some embodiments, the functions of real-time monitoring and early warning of the test data (detection data) in the factory can be realized, and meanwhile, the automatic classification analysis of the test data and the storage of the detection report electronic report can be realized.
At present, measurement data are directly collected from measurement equipment to a database mainly through an existing quality data acquisition system, and subsequent data analysis is needed to be performed manually according to actual conditions.
The embodiment is based on the existing database system, relates to a webpage link page, and realizes the processing of the operation logic of the detection data through the webpage link page and the following data analysis function:
1) The real-time monitoring and early warning of the measured data are realized in the form of a single value diagram, an upper tolerance line, a lower tolerance line and an upper guard line are set in the effect display diagram of the webpage of the automatic detection data monitoring system shown in the figure 3, wherein the data exceeding the upper guard line but not exceeding the upper tolerance line can be considered to have some problems, but the unqualified automobile parts are not caused, and attention is required; any that does not exceed the upper guard line may be considered acceptable; exceeding either the upper or lower tolerance line may be considered unacceptable. In a specific implementation manner, in order to facilitate distinguishing, on-site staff can conveniently check, whether the alarm is qualified or not can be distinguished through different colors, such as red for unqualified, yellow for early warning exceeding a warning line and green for qualified.
2) The measurement data of all inspection items of different detection equipment for the same part are summarized, and the measurement result of the part is comprehensively judged to obtain the MEB/MQB procedure inspection result shown in fig. 3, and the inspection result can indicate whether all detection items of a certain detection equipment of the automobile part are abnormal or not. In a specific implementation, different colors may be used to represent the detected status, such as red for failed, yellow for pre-warning of exceeding a warning line, green for failed, and gray for the device not running.
3) The quality current situation display of different production equipment, namely the histogram of the quality states of the equipment shown in fig. 3, can determine the qualified duty ratio, the unqualified duty ratio and the early warning duty ratio corresponding to the automobile parts produced by the production equipment by distinguishing the qualified state, the early warning state and the unqualified state, thereby obtaining the quality situation of the production equipment.
4) Measuring real-time inspection progress of tasks and statistical analysis of detection results, wherein the statistical results of the detection results can be referred to fig. 4, and the qualification rate of each type of automobile parts is shown;
5) The classified archiving of the measurement report can replace paper report, as shown in fig. 5, after all detection items of a certain automobile part are detected, the measurement report can be automatically popped up for downloading by field staff;
6) The present condition of the checking task list is displayed in real time as shown in fig. 6;
according to the embodiment, the data are collected from the measuring equipment through the existing database, then the test data (detection data) link is established by using the webpage, the webpage carries out logic operation on the linked data, and the operation result is displayed on the webpage, so that on-site personnel can carry out adjustment of the production equipment according to the real-time display webpage, and the stability of the production process is ensured.
Fig. 7 is a schematic structural diagram of a monitoring device for an overall process of detecting automobile parts according to an embodiment of the present application, and as shown in fig. 7, a monitoring device 700 for an overall process of detecting automobile parts according to the embodiment includes: a data analysis module 701, a situation determination module 702 and an information display module 703.
The data analysis module 701 is configured to obtain detection data generated by detecting the automobile part by using a detection device, and analyze the detection data to determine whether abnormal data exists; the detection data comprise detection results of all detection items of the automobile parts;
the condition determining module 702 is configured to determine an abnormal condition according to a generation time of the abnormal data if the abnormal data exists;
the information display module 703 is configured to extract and display the key information in the abnormal situation according to a preset display manner.
Optionally, the detecting device includes a code scanning device, and the monitoring device 701 for detecting the whole process of the automobile part further includes an information obtaining module 704, configured to:
a task list to be detected at the current moment is called, and whether a detection task exists at the current moment is determined;
if the detection task exists at the current moment, detecting whether an automobile part exists on the detection equipment at the current moment;
If the fact that the automobile part exists at the current moment is determined, sending a starting signal to the code scanning device and receiving a code scanning result obtained after the code scanning device scans a two-dimensional code label on the surface of the automobile part;
and determining basic information of the automobile parts on the detection equipment according to the code scanning result.
Optionally, the data analysis module 701 is specifically configured to:
acquiring data to be tidied of the detection equipment;
classifying the data to be sorted according to the data types of the automobile parts to obtain the part data of the automobile parts;
and classifying the component data according to the basic information to obtain detection data corresponding to the automobile component.
Optionally, the case determination module 702 is specifically configured to:
determining an abnormal part corresponding to the abnormal data according to the generation time of the abnormal data;
the basic information corresponding to the abnormal parts is called, and target detection equipment for detecting the abnormal parts is determined;
the equipment information of the target detection equipment is called, and detection items corresponding to the abnormal data are determined according to the basic information corresponding to the abnormal parts and the equipment information;
Invoking a qualified threshold value corresponding to the detection item, and comparing the abnormal data with the qualified threshold value corresponding to the detection item to obtain a comparison result;
and determining abnormal conditions according to the comparison result.
Optionally, the information display module 703 is specifically configured to:
according to the detection task, determining a display item, and selecting a display template from a preset display mode according to the display item;
screening specific contents in the abnormal condition according to the display items, determining data corresponding to the display items, and taking the data corresponding to the display items as key information;
and displaying the key information based on the display template.
Optionally, the detecting device includes an abnormality detecting device, and the monitoring device 700 for detecting the whole process of the automobile part further includes an abnormality detecting module 705, configured to:
when the abnormal data exists in the detection data, an abnormal detection signal is sent to the target detection equipment, so that the target detection equipment starts the abnormal detection device after receiving the abnormal detection signal;
receiving a detection result of the abnormality detection device, and determining whether the abnormal part has a defect;
If the abnormal part is determined to have a defect, determining a defect type according to a detection result;
determining a production machine tool according to the basic information of the abnormal parts, and sending the defect type to a display system of the production machine tool;
if the abnormal part is determined to have no defect, the operation data of the target detection equipment are called and analyzed, and whether the target detection equipment has an abnormality or not is determined;
if the target detection equipment is abnormal, determining an abnormal area according to the operation data and displaying the abnormal area.
Optionally, the monitoring device 700 for the whole process of detecting the automobile parts further includes a data statistics module 706, configured to:
determining whether the detection task is finished at the current moment according to the detection speed of the detection equipment and the detection quantity of the automobile parts;
if the detection task is determined to be completed at the current moment, determining a detection result of each automobile part according to the basic information;
and counting the detection results, determining the qualification rate and displaying.
The apparatus of this embodiment may be used to perform the method of any of the foregoing embodiments, and its implementation principle and technical effects are similar, and will not be described herein again.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 8, an electronic device 800 according to the embodiment may include: a memory 801 and a processor 802.
The memory 801 has stored thereon a computer program that can be loaded by the processor 802 and that performs the methods of the above embodiments.
The processor 802 is coupled to the memory 801, such as via a bus.
Optionally, the electronic device 800 may also include a transceiver. It should be noted that, in practical applications, the transceiver is not limited to one, and the structure of the electronic device 800 is not limited to the embodiments of the present application.
The processor 802 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules, and circuits described in connection with this disclosure. The processor 802 may also be a combination that implements computing functionality, e.g., comprising one or more microprocessor combinations, a combination of DSP and microprocessor, etc.
A bus may include a path that communicates information between the components. The bus may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture ) bus, or the like. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.
The Memory 801 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EEPROM (Electrically Erasable Programmable Read Only Memory ), CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 801 is used for storing application program codes for executing the present application and is controlled to be executed by the processor 802. The processor 802 is configured to execute application code stored in the memory 801 to implement what is shown in the foregoing method embodiments.
Among them, electronic devices include, but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. But may also be a server or the like. The electronic device shown in fig. 8 is only an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present application.
The electronic device of the present embodiment may be used to execute the method of any of the foregoing embodiments, and its implementation principle and technical effects are similar, and will not be described herein.
The present application also provides a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing the method in the above embodiments.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.

Claims (8)

1. The method for monitoring the automobile part detection process is characterized by being applied to a monitoring system of the automobile part detection process, wherein the monitoring system of the automobile part detection process comprises detection equipment and a server, the method is executed by the server, and the method comprises the following steps:
acquiring detection data generated by detecting the automobile parts by the detection equipment, analyzing the detection data, and determining whether abnormal data exist; the detection data comprise detection results of all detection items of the automobile parts;
if the abnormal data exist, determining an abnormal condition according to the generation time of the abnormal data;
extracting and displaying the key information in the abnormal situation according to a preset display mode;
the analyzing the detection data to determine whether abnormal data exists comprises the following steps: matching the detection data with corresponding qualified data in a history period aiming at the same type of automobile parts, determining the matching degree, and determining whether abnormal data exists in the automobile parts according to the matching degree and a preset matching threshold; if the matching degree is lower than a preset matching threshold value, the detection data are abnormal data; the preset matching threshold comprises a qualification threshold and an early warning threshold;
The determining the abnormal situation according to the generation time of the abnormal data comprises the following steps: determining an abnormal part corresponding to the abnormal data according to the generation time of the abnormal data; the basic information corresponding to the abnormal parts is called, and target detection equipment for detecting the abnormal parts is determined; the equipment information of the target detection equipment is called, and detection items corresponding to the abnormal data are determined according to the basic information corresponding to the abnormal parts and the equipment information; invoking a qualified threshold value corresponding to the detection item, and comparing the abnormal data with the qualified threshold value corresponding to the detection item to obtain a comparison result; determining an abnormal condition according to the comparison result;
the detection equipment comprises an abnormality detection device, and the method further comprises the following steps: when the abnormal data exists in the detection data, an abnormal detection signal is sent to the target detection equipment, so that the target detection equipment starts the abnormal detection device after receiving the abnormal detection signal; receiving a detection result of the abnormality detection device, and determining whether the abnormal part has a defect; if the abnormal part is determined to have a defect, determining a defect type according to a detection result; determining a production machine tool according to the basic information of the abnormal parts, and sending the defect type to a display system of the production machine tool; if the abnormal part is determined to have no defect, the operation data of the target detection equipment are called and analyzed, and whether the target detection equipment has an abnormality or not is determined; if the target detection equipment is abnormal, determining an abnormal area according to the operation data and displaying the abnormal area.
2. The method according to claim 1, wherein the detecting device includes a code scanning device, and before the detecting device acquires the detection data generated by the detecting device to detect the automobile part, the method includes:
a task list to be detected at the current moment is called, and whether a detection task exists at the current moment is determined;
if the detection task exists at the current moment, detecting whether an automobile part exists on the detection equipment at the current moment;
if the fact that the automobile part exists at the current moment is determined, sending a starting signal to the code scanning device and receiving a code scanning result obtained after the code scanning device scans a two-dimensional code label on the surface of the automobile part;
and determining basic information of the automobile parts on the detection equipment according to the code scanning result.
3. The method of claim 2, wherein the acquiring the inspection data generated by the inspection device to inspect the automotive part comprises:
acquiring data to be tidied of the detection equipment;
classifying the data to be sorted according to the data types of the automobile parts to obtain the part data of the automobile parts;
and classifying the component data according to the basic information to obtain detection data corresponding to the automobile component.
4. A method according to claim 2 or 3, wherein the extracting and displaying the key information in the abnormal situation according to the preset display manner includes:
according to the detection task, determining a display item, and selecting a display template from a preset display mode according to the display item;
screening specific contents in the abnormal condition according to the display items, determining data corresponding to the display items, and taking the data corresponding to the display items as key information;
and displaying the key information based on the display template.
5. A method according to claim 2 or 3, characterized in that the method further comprises:
determining whether the detection task is finished at the current moment according to the detection speed of the detection equipment and the detection quantity of the automobile parts;
if the detection task is determined to be completed at the current moment, determining a detection result of each automobile part according to the basic information;
and counting the detection results, determining the qualification rate and displaying.
6. The utility model provides a monitoring device of automobile parts detection overall process which characterized in that includes:
the data analysis module is used for acquiring detection data generated by detecting equipment for detecting the automobile parts, analyzing the detection data and determining whether abnormal data exist or not; the detection data comprise detection results of all detection items of the automobile parts;
The condition determining module is used for determining abnormal conditions according to the generation time of the abnormal data if the abnormal data exist;
the information display module is used for extracting and displaying the key information in the abnormal situation according to a preset display mode;
the data analysis module is specifically configured to, when analyzing the detection data and determining whether abnormal data exists,: matching the detection data with corresponding qualified data in a history period aiming at the same type of automobile parts, determining the matching degree, and determining whether abnormal data exists in the automobile parts according to the matching degree and a preset matching threshold; if the matching degree is lower than a preset matching threshold value, the detection data are abnormal data; the preset matching threshold comprises a qualification threshold and an early warning threshold;
the condition determining module is specifically configured to: determining an abnormal part corresponding to the abnormal data according to the generation time of the abnormal data; the basic information corresponding to the abnormal parts is called, and target detection equipment for detecting the abnormal parts is determined; the equipment information of the target detection equipment is called, and detection items corresponding to the abnormal data are determined according to the basic information corresponding to the abnormal parts and the equipment information; invoking a qualified threshold value corresponding to the detection item, and comparing the abnormal data with the qualified threshold value corresponding to the detection item to obtain a comparison result; determining an abnormal condition according to the comparison result;
The detection equipment comprises an abnormality detection device, and the monitoring device for the whole detection process of the automobile parts further comprises an abnormality detection module for: when the abnormal data exists in the detection data, an abnormal detection signal is sent to the target detection equipment, so that the target detection equipment starts the abnormal detection device after receiving the abnormal detection signal; receiving a detection result of the abnormality detection device, and determining whether the abnormal part has a defect; if the abnormal part is determined to have a defect, determining a defect type according to a detection result; determining a production machine tool according to the basic information of the abnormal parts, and sending the defect type to a display system of the production machine tool; if the abnormal part is determined to have no defect, the operation data of the target detection equipment are called and analyzed, and whether the target detection equipment has an abnormality or not is determined; if the target detection equipment is abnormal, determining an abnormal area according to the operation data and displaying the abnormal area.
7. An electronic device, comprising: a memory and a processor;
the memory is used for storing program instructions;
The processor is configured to call and execute the program instructions in the memory, and perform the monitoring method of the automobile part detection process according to any one of claims 1 to 5.
8. A computer-readable storage medium, wherein the computer-readable storage medium has a computer program stored therein; the computer program, when executed by a processor, implements a method for monitoring a process for detecting an automotive part according to any one of claims 1 to 5.
CN202311785235.1A 2023-12-25 2023-12-25 Monitoring method and device for automobile part detection process and electronic equipment Active CN117455318B (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109474483A (en) * 2019-01-08 2019-03-15 Oppo广东移动通信有限公司 A kind of detection method, detection device and the terminal device of unit exception situation
CN113837598A (en) * 2021-09-18 2021-12-24 北京精密机电控制设备研究所 Information acquisition method based on intelligent manufacturing
CN114511334A (en) * 2022-04-17 2022-05-17 邦邦汽车销售服务(北京)有限公司 Full-process traceability visualization method and system based on data identification and electronic tag
CN115035475A (en) * 2022-06-28 2022-09-09 邯郸市水利水电勘测设计研究院 Water supply pipeline real-time monitoring method and device, electronic equipment and medium
CN117196587A (en) * 2023-09-20 2023-12-08 湖北中烟工业有限责任公司 On-line detection method, device and system for wire making workshop and storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109474483A (en) * 2019-01-08 2019-03-15 Oppo广东移动通信有限公司 A kind of detection method, detection device and the terminal device of unit exception situation
CN113837598A (en) * 2021-09-18 2021-12-24 北京精密机电控制设备研究所 Information acquisition method based on intelligent manufacturing
CN114511334A (en) * 2022-04-17 2022-05-17 邦邦汽车销售服务(北京)有限公司 Full-process traceability visualization method and system based on data identification and electronic tag
CN115035475A (en) * 2022-06-28 2022-09-09 邯郸市水利水电勘测设计研究院 Water supply pipeline real-time monitoring method and device, electronic equipment and medium
CN117196587A (en) * 2023-09-20 2023-12-08 湖北中烟工业有限责任公司 On-line detection method, device and system for wire making workshop and storage medium

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