Visualization, early warning and tracking method for quality control in vehicle production process

Abstract

The invention relates to a vehicle production process quality control visualization, early warning and tracking method and device, and the method comprises the following steps: carrying out the quality detection of a plurality of parts in a vehicle production process according to a quality detection standard, recording qualified data meeting the quality detection standard, recording defects not meeting the quality detection standard to obtain defect data, and storing the defect data in a database; storing the defect data and the qualified data in a database; visualizing the defect data to obtain a human-computer interaction visual picture for displaying a defect trend; monitoring the defects in the production process according to the human-computer interaction visual picture for displaying the defect trend; early warning is carried out according to the monitored defects; and creating a defect tracking record for the monitored defect and tracking the defect.

Description

Technical Field

[0001] The present invention relates to the technical field of product production quality control, and in particular to the technical field of vehicle mass production quality control. Background Art

[0002] As a vehicle production workshop with an annual output of 200,000 vehicles, it has to deal with tens of thousands of quality issues every year. How can it manage such a large number of quality issues and make the data transparent, provide data support for the rapid resolution of problems, and realize the digitalization of final assembly quality? How can it compare the quality problem status of the same model in different workshops, and provide direction for problem analysis and resolution? Existing quality analysis tools require a lot of communication to collect relevant information, and have problems of low efficiency and low reliability. Summary of the invention

[0003] In order to solve the above problems, the present invention discloses a method for visualizing, warning and tracking quality control of a vehicle production process, comprising the following steps:

[0004] Conduct quality inspections on multiple components during vehicle production according to quality inspection standards;

[0005] Record qualified data that meets the quality inspection standards, record defects that do not meet the quality inspection standards to obtain defect data, and store the defect data and qualified data in a database;

[0006] Visualizing the defect data to obtain a human-computer interactive visualization screen showing defect trends;

[0007] Monitoring defects in the production process according to the human-machine interactive visualization screen showing defect trends;

[0008] Provide early warning based on monitoring deficiencies;

[0009] Create defect tracking records and track monitored defects.

[0010] In one embodiment of the above method of the present invention, the qualified data further includes the quality inspection quantity, inspection date, and vehicle number.

[0011] In one embodiment of the above method of the present invention, the step of obtaining a human-computer interactive visualization screen showing defect trends is obtained by processing the defect quantity and defect occurrence time.

[0012] In one embodiment of the above method of the present invention, the step of obtaining a human-computer interactive visualization screen showing defect trends by processing the defect quantity and defect occurrence time further includes:

[0013] Generate a vehicle model column step that can be interacted with by humans and machines based on defect data;

[0014] Steps for generating a human-computer interactive work department defect trend screen based on defect data;

[0015] Generate the start and end time selection project steps that can be interacted with by humans and machines based on the defect data;

[0016] Generate defect distribution steps for the latest day based on defect data;

[0017] Generate a defect list step that can be interacted with by humans and machines based on defect data.

[0018] In one embodiment of the above method of the present invention, the step of generating a vehicle type selection column capable of human-computer interaction according to the defect data further comprises:

[0019] Generating the vehicle model column step;

[0020] Steps for switching the vehicle model column through human-computer interaction;

[0021] According to the switched vehicle model, the defect trend screen of the work department, the start and end time selection items, the defect distribution and defect list of the latest day are updated and displayed.

[0022] In one embodiment of the above method of the present invention, the step of generating a human-computer interactive work department defect trend screen based on the defect data further includes:

[0023] Generate timeline and defect axis steps;

[0024] Based on the defect data, different color legends are used to represent multiple work department steps;

[0025] The step of segmenting the time axis between the start time and the end time according to a configurable first time interval to obtain a plurality of first segment time points;

[0026] The step of displaying the inspection qualified rate and the defect contribution rate of the work department according to the defect axis at the first segmented time point;

[0027] On the time axis, the inspection qualified rates and the defect contribution rates of the work departments at the multiple first segmented time points are connected or displayed in a columnar form.

[0028] In one embodiment of the above method of the present invention, the step of generating a human-computer interactive work department defect trend screen according to the defect data further includes:

[0029] Display more human-computer interaction operation project steps, including:

[0030] Display the work department defect trend screen zoom project steps;

[0031] Display the defect trend screen of the work department to restore the project steps;

[0032] Display the steps for downloading the defect contribution rate data of the work department;

[0033] Display switching line chart showing work department defect trend screen project steps;

[0034] Display switching bar graph display work department defect trend screen project steps;

[0035] Display the work department defect trend screen to refresh the project steps;

[0036] Display and save the work department defect trend screen as a picture project step.

[0037] In one embodiment of the above method of the present invention, the defect axis further includes a percentage scale, and the time axis further includes a date scale.

[0038] In one embodiment of the above method of the present invention, the sum of the inspection qualification rate at the first segment time point and the defect contribution rate of the work department is 100%.

[0039] In an embodiment of the above method of the present invention, the configurable first time interval is one day.

[0040] In one embodiment of the above method of the present invention, the step of generating a start and end time selection item capable of human-computer interaction according to the defect data further comprises:

[0041] Generate selectable start and end time steps;

[0042] A step of selecting a start time and an end time through human-computer interaction;

[0043] According to the selected start time and end time, the defect trend screen of the work department, the start and end time selection items, the defect distribution and defect list of the latest day are updated and displayed.

[0044] In one embodiment of the above method of the present invention, the step of generating the defect distribution of the latest day according to the defect data further includes:

[0045] Display the date step of the latest day;

[0046] The defect contribution rate step of all work departments corresponding to the latest day is displayed according to the defect data.

[0047] In one embodiment of the above method of the present invention, the step of generating a human-computer interactive defect list according to the defect data further comprises:

[0048] Show the location where the defect occurred and describe the steps;

[0049] Display the code steps of the location where the defect occurred;

[0050] Show defect type description steps;

[0051] Display defect type code steps;

[0052] Display defect quantity step;

[0053] Display the human-computer interaction project steps of the defect specific information.

[0054] In one embodiment of the above method of the present invention, the step of displaying specific defect information further includes:

[0055] Select the step of human-computer interaction project for defect specific information;

[0056] Steps to display the trend screen of the said defect;

[0057] The step of displaying a detailed information list of the defect further includes:

[0058] The vehicle number exhibiting the defect;

[0059] The production shift number of the vehicle exhibiting the defect;

[0060] Display the description of the location where the defect occurred;

[0061] Display the location code of the defect;

[0062] Display defect type description;

[0063] Display defect type code;

[0064] Display the number of defects;

[0065] Display photos of defects during quality inspection;

[0066] Show defect tracking records.

[0067] In one embodiment of the above method of the present invention, the step of displaying the defect trend screen further comprises:

[0068] Generate a time axis and a defect axis, the time axis includes a time scale, and the defect axis includes a quantity scale step;

[0069] According to the defect data, segmenting between the start time and the end time of the time axis according to the configurable first time interval to obtain a plurality of second segment time points;

[0070] displaying the defect quantity step according to the defect axis at the second segmented time point;

[0071] The step of displaying the defect quantities at multiple second segment time points in a line or columnar manner on the time axis.

[0072] In one embodiment of the above method of the present invention, the defect list capable of human-computer interaction and the defect specific information list are displayed in descending or ascending order according to the defect quantity and / or defect occurrence time.

[0073] In one embodiment of the above method of the present invention, the step of issuing an early warning according to the monitored defects further comprises:

[0074] When the defect quantity corresponding to the defect occurrence location description is greater than a configurable first defect quantity, an early warning message is sent to the relevant department and / or responsible personnel.

[0075] In one embodiment of the above method of the present invention, the step of creating defect tracking records and tracking the monitored defects further comprises:

[0076] Automatically create the defect tracking record in the specific information of the defect;

[0077] The responsible person shall formulate a short-term and / or long-term action plan for the defect in the defect tracking record;

[0078] Tracking and automatic reminders are performed according to the short-term measures and / or long-term measures plan.

[0079] In an embodiment of the above method of the present invention, the defect data is obtained by performing quality inspection on multiple components in the vehicle production process at production plants located in different locations around the world.

[0080] In one embodiment of the above method of the present invention, the database may be one or more of a stand-alone database, a centralized database and a distributed database.

[0081] The present invention also discloses a vehicle production process quality control visualization, early warning and tracking device, which is used to execute any of the above methods, including:

[0082] A quality inspection data recording module, used to record qualified data that meets the quality inspection standards, record defects that do not meet the quality inspection standards to obtain defect data, and store the defect data and qualified data in a database;

[0083] Visualization module: used to visualize the defect data and obtain a human-computer interactive visualization screen showing defect trends;

[0084] A monitoring module, used to monitor defects in the production process based on the human-computer interactive visualization screen showing defect trends;

[0085] An early warning module, used for issuing early warnings for the monitored defects;

[0086] The tracking module is used to create and track defect tracking records for the monitored defects.

[0087] The present invention also discloses a server, including a processor, a memory, and an input-output device, wherein the processor, the memory, and the input-output device are connected via a system bus and are used to execute any of the above methods, and also includes the above device.

[0088] The present invention also discloses a storage medium for storing a computer control program, wherein the computer control program is used to execute the steps of any one of the above methods.

[0089] By visualizing, warning and tracking quality control in the vehicle production process, a large amount of communication costs can be saved. By visualizing quality issues, problem solving in various departments can be promoted. In addition, problem managers can accurately grasp the main problems and corresponding trends to analyze and solve problems. Finally, a horizontal comparison of quality data and common problems in different workshops can be achieved to realize data sharing and promote problem solving. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 The present invention is a schematic diagram of the steps of a method for visualizing, warning and tracking quality control of a vehicle production process in one embodiment of the present invention.

[0091] Figure 2 The figure is a schematic block diagram of a human-computer interaction visualization screen showing defect trends in one embodiment of the present invention.

[0092] Figure 3 The figure is a schematic diagram of a visual defect list in one embodiment of the present invention.

[0093] Figure 4 It is a schematic diagram of visualization of specific defect information in one embodiment of the present invention.

[0094] Figure 5 It is a schematic diagram of the actual application of a human-computer interactive visualization screen for displaying defect trends in one embodiment of the present invention.

[0095] Figure 6 The present invention is a schematic block diagram of a vehicle production process quality control visualization, early warning and tracking device in one embodiment of the present invention.

[0096] Figure 7 The figure is a schematic block diagram of a server in one embodiment of the present invention.

[0097] Wherein, the reference numerals are:

[0098] 1: Vehicle model column

[0099] 2: Work department defect trend screen

[0100] 210: More human-computer interaction projects

[0101] 211: Work department defect trend screen zoom project

[0102] 212: Work department defect trend screen restoration project

[0103] 213: Download the defect contribution rate data of the work department

[0104] 214: Switch to line chart to display the defect trend screen of work department

[0105] 215: Switch the bar graph to display the defect trend screen of the work department

[0106] 216: Work department defect trend screen refresh project

[0107] 217: Save the work department defect trend screen as a picture project

[0108] 3: Select the project by start and end time

[0109] 4: Defect distribution on the latest day

[0110] 5: Defect List

[0111] 51, 573: Description of the defect location

[0112] 52, 574: Defect location code

[0113] 53, 575: Defect type description

[0114] 54, 576: Defect type code

[0115] 55, 577: Number of defects

[0116] 56: Defect specific information human-computer interaction project

[0117] 57: Detailed information about the defect

[0118] 571: Defect Trend Screen

[0119] 572: List of detailed information about the defect

[0120] 578: Vehicle number

[0121] 579: Vehicle production shift number

[0122] 580: Photos of defects during quality inspection

[0123] 581: Defect Tracking Record

[0124] 10: Human-computer interactive visualization showing defect trends

[0125] 20: Vehicle production process quality control visualization, early warning and tracking device

[0126] 21: Quality inspection module

[0127] 22: Defect Recording Module

[0128] 23: Visualization module

[0129] 24: Monitoring module

[0130] 25: Early warning module

[0131] 26: Tracking module

[0132] 200: Server

[0133] 2001: Processors

[0134] 2002: Memory

[0135] 2003: Input and Output Devices

[0136] 2004: System Bus DETAILED DESCRIPTION

[0137] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that references to "one embodiment", "embodiment", "example embodiment", etc. in the specification refer to the embodiment described, which may include specific features, structures or characteristics, but does not necessarily include these specific features, structures or characteristics. In addition, such expressions do not refer to the same embodiment. Further, when describing specific features, structures or characteristics in conjunction with the embodiments, whether or not there is a clear description, it has been shown that combining such features, structures or characteristics into other embodiments is within the knowledge of those skilled in the art.

[0138] Certain words are used in the specification and subsequent claims to refer to specific modules, components or parts. It should be understood by those of ordinary skill in the art that technical users or manufacturers may refer to the same module, component or part by different nouns or terms. This specification and subsequent claims do not use differences in names as a way to distinguish modules, components or parts, but use differences in the functions of modules, components or parts as the criteria for distinction. "Including" and "including" mentioned throughout the specification and subsequent claims are open-ended terms and should be interpreted as "including but not limited to". In addition, the word "connect" here includes any direct and indirect electrical connection means. Indirect electrical connection means include connection through other devices.

[0139] Furthermore, in the following specification and claims, reference will be made to a number of terms which shall be defined as having the following meanings. The singular forms "a", "an" and "the" include plural referents unless the context clearly dictates otherwise. "Optional" or "optionally" means that the subsequently described event or circumstance may or may not occur, and that the description includes instances where the event occurs and instances where it does not.

[0140] Please refer to Figure 1 , Figure 1 The present invention is a schematic diagram of the steps of a method for visualizing, warning and tracking quality control of a vehicle production process in one embodiment of the present invention.

[0141] The present invention discloses a method for visualizing, warning and tracking quality control of a vehicle production process, comprising the following steps:

[0142] Step S1: Performing quality inspection on multiple components in the vehicle production process according to quality inspection standards;

[0143] Step S2: Record qualified data that meets the quality inspection standard, record defects that do not meet the quality inspection standard to obtain defect data, and store the defect data and qualified data in a database;

[0144] Step S3: Visualizing the defect data to obtain a human-computer interactive visualization screen 10 showing defect trends;

[0145] Step S4: monitoring defects in the production process according to the human-machine interactive visualization screen 10 showing defect trends;

[0146] Step S5: issuing an early warning based on the monitored defects;

[0147] Step S6: Create and track defect tracking records 581 for monitored defects.

[0148] In one embodiment of the above method of the present invention, the step of performing quality inspection on multiple components in the vehicle production process according to the quality inspection standard further includes:

[0149] Step S11: Scan the vehicle number 578 to obtain the corresponding inspection list;

[0150] Step S12: Performing quality inspection on the plurality of components according to quality inspection standards manually and / or automatically.

[0151] In one embodiment of the above method of the present invention, the qualified data further includes the quality inspection quantity, inspection date, and vehicle number 578.

[0152] The above qualified data and defect data are stored in a database, and the database may be, but is not limited to, one or more of a stand-alone database, a centralized database, and a distributed database.

[0153] Specifically, Python's Numpy and Pandas libraries can be used to process the qualified data and defective data and convert them into the required format, and then the Django framework or PowerBI framework can be used to visualize the defective data, but the present invention is not limited thereto.

[0154] For step S12: quality inspection of the plurality of components is performed manually and / or automatically according to quality inspection standards. For example, the appearance of the produced components, corresponding technical functions, gaps between components, etc. may be inspected, but the present invention is not limited thereto.

[0155] Please refer to Figure 2 and Figure 5 , Figure 2 The figure is a schematic block diagram of a human-computer interaction visualization screen showing defect trends in one embodiment of the present invention. Figure 5 It is a schematic diagram of the actual application of a human-computer interactive visualization screen for displaying defect trends in one embodiment of the present invention.

[0156] In one embodiment of the above method of the present invention, the step of obtaining the human-computer interactive visualization picture 10 showing the defect trend is obtained by processing the defect quantity 55 and the defect occurrence time.

[0157] In one embodiment of the above method of the present invention, the step of obtaining a human-computer interactive visualization screen 10 showing defect trends by processing the defect quantity 55 and the defect occurrence time further includes:

[0158] Step S31: Generate a vehicle model column 1 capable of human-machine interaction according to the defect data;

[0159] Step S32: generating a work department defect trend screen 2 capable of human-computer interaction according to the defect data;

[0160] Step S33: Generate a start and end time selection item 3 that can be interacted with by a human and a machine according to the defect data;

[0161] Step S34: Generate the defect distribution 4 of the latest day according to the defect data;

[0162] Step S35: Generate a defect list 5 capable of human-computer interaction according to the defect data.

[0163] The human-computer interactive visualization screen 10 showing defect trends generated by the above method is as follows Figure 2 As shown, from top to bottom are the vehicle model column 1, the work department defect trend screen 2, the start and end time selection items 3, the defect distribution of the latest day 4 and the defect list 5.

[0164] The vehicle model column 1 lists the vehicle models produced by the workshops of different factories. The overall human-computer interactive visualization of the defect trends of all models can also be seen.

[0165] In the work department defect trend screen 2, the defect trend screens of different departments are displayed, that is, the contribution rate of different departments to defects.

[0166] You can select item 3 by start and end time to view the defect trend graph and data for a period of time.

[0167] The function of the defect distribution 4 of the latest day is to display the defect contribution rate of all work departments corresponding to the latest day based on the defect data, so as to quickly and intuitively understand the latest defect status of each department.

[0168] Defect list 5 shows a detailed description of the defects and arranges them in descending order according to the defect number 55. This allows you to quickly understand the location and type of the defects and give priority to key issues with a large number of defects 55.

[0169] In one embodiment of the above method of the present invention, the step of generating a vehicle type selection column capable of human-computer interaction according to the defect data further comprises:

[0170] Step S311: generating the vehicle model column 1;

[0171] Step S312: Switching the vehicle model column 1 through human-computer interaction;

[0172] Step S313: Update and display the work department defect trend screen 2, start and end time selection items 3, defect distribution 4 of the latest day and defect list 5 according to the switched vehicle model.

[0173] In one embodiment of the above method of the present invention, the step of generating a human-computer interactive work department defect trend screen 2 according to the defect data further includes:

[0174] Step S321: Generate a time axis and a defect axis;

[0175] Step S322: using different color legends to represent multiple work departments according to the defect data;

[0176] Step S323: segmenting the time axis between the start time and the end time according to a configurable first time interval to obtain a plurality of first segment time points;

[0177] Step S324: displaying the inspection pass rate and the defect contribution rate of the work department according to the defect axis at the first segment time point;

[0178] Step S325: On the time axis, the inspection pass rates and the defect contribution rates of the work departments at the multiple first segmented time points are connected or displayed in a bar chart.

[0179] The calculation method of the inspection pass rate and the defect contribution rate of the work department can be obtained based on the qualified data and defect data. The total number of quality inspections is obtained through the qualified data and defect data, and the percentage of qualified data in the total number of quality inspections is the inspection pass rate. The number of defects in each work department can be counted according to the work department in the defect data, and the defect contribution rate of the work department is obtained by the percentage of the number of defects in each work department in the total number of quality inspections.

[0180] Combination Figure 5 , a human-computer interactive work department defect trend screen 2 is generated through the above method. In this trend screen, the defect contribution rate of each department and the defect trend of each department can be quickly and intuitively understood, and relevant strategies can be formulated based on these contents.

[0181] In the work department defect trend screen 2, the interval of the time axis can be configured. The preferred embodiment is one day, but the present invention is not limited to this. At any first segment time point on the time axis, the defect contribution rate of each department is displayed according to the defect axis, and the detection pass rate is also displayed. The sum of the defect contribution rate and the detection pass rate of each department is 100%. The above-mentioned display of the detection pass rate is also called the first pass rate FTC. By displaying the defect contribution rate and the detection pass rate of each department at multiple first segment time points, and connecting the defect contribution rate and the detection pass rate of each department, the work department defect trend screen 2 is obtained.

[0182] In one embodiment of the above method of the present invention, the step of generating a human-computer interactive work department defect trend screen 2 according to the defect data further includes:

[0183] Step S326: Display more human-computer interaction operation items 210, which include:

[0184] Display work department defect trend screen zoom item 211;

[0185] Display work department defect trend screen restoration project 212;

[0186] Display and download the defect contribution rate data item 213 of the work department;

[0187] Display switching line chart showing work department defect trend screen item 214;

[0188] Display switching bar graph display work department defect trend screen item 215;

[0189] Display work department defect trend screen refresh item 216;

[0190] The display of the saved work department defect trend screen is picture item 217.

[0191] exist Figure 5 In the figure, more human-computer interaction operation items 210 are displayed in the upper right corner of the work department defect trend screen 2.

[0192] In one embodiment of the above method of the present invention, the defect axis further includes a percentage scale, and the time axis further includes a date scale.

[0193] In one embodiment of the above method of the present invention, the sum of the inspection qualification rate at the first segment time point and the defect contribution rate of the work department is 100%.

[0194] In an embodiment of the above method of the present invention, the configurable first time interval is one day.

[0195] In one embodiment of the above method of the present invention, the step of generating a start and end time selection item 3 capable of human-computer interaction according to the defect data further comprises:

[0196] Step S331: Generate selectable start time and end time;

[0197] Step S332: selecting the start time and the end time through human-computer interaction;

[0198] Step S333: According to the selected start time and end time, the work department defect trend screen 2, the start and end time selection items 3, the defect distribution 4 of the latest day and the defect list 5 are updated and displayed.

[0199] In one embodiment of the above method of the present invention, the step of generating the defect distribution of the latest day according to the defect data 4 further includes:

[0200] Step S341: Display the date of the latest day;

[0201] Step S342: Display the defect contribution rates of all work departments corresponding to the latest day based on the defect data.

[0202] Please refer to Figure 3 , Figure 3 The figure is a schematic diagram of a visual defect list in one embodiment of the present invention.

[0203] In one embodiment of the above method of the present invention, the step of generating a human-computer interactive defect list 5 according to the defect data further includes:

[0204] Step S351: display the defect occurrence location description 51;

[0205] Step S352: Display the defect location code 52;

[0206] Step S353: display the defect type description 53;

[0207] Step S354: display the defect type code 54;

[0208] Step S355: Display the number of defects 55;

[0209] Step S356: Display the defect specific information human-computer interaction project 56.

[0210] The above method generates a defect list 5 for human-computer interaction, which displays the corresponding defect location description 51, defect location code 52, defect type description 53, defect type code 54, defect quantity 55 and defect specific information human-computer interaction item 56 according to the defect data, and sorts them in descending order.

[0211] Please refer to Figure 4 , Figure 4 It is a schematic diagram of visualization of specific defect information in one embodiment of the present invention.

[0212] In one embodiment of the above method of the present invention, the step of displaying detailed information 57 of the defect further comprises:

[0213] Step S3571: selecting the defect specific information human-computer interaction item 56;

[0214] Step S3572: displaying the defect trend screen 571;

[0215] Step S3573: Displaying a detailed information list 572 of the defect, further comprising:

[0216] The vehicle number exhibiting the said defect is 578;

[0217] The production shift number of the vehicle exhibiting the said defect is 579;

[0218] Display the description of the location where the defect occurred 573;

[0219] Display defect location code 574;

[0220] Display defect type description 575;

[0221] Display defect type code 576;

[0222] The number of defects displayed is 577;

[0223] Display photos of defects during quality inspection 580,

[0224] Display defect tracking record 581.

[0225] In one embodiment of the above method of the present invention, the step of displaying the defect trend screen 571 further includes:

[0226] Step S35721: Generate a time axis and a defect axis, the time axis includes a time scale, and the defect axis includes a quantity scale;

[0227] Step S35722: segmenting the defect data between the start time and the end time of the time axis according to the configurable first time interval to obtain a plurality of second segment time points;

[0228] Step S35723: displaying the defect quantity 55 according to the defect axis at the second segment time point;

[0229] Step S35724: On the time axis, the defect numbers 55 at multiple second segment time points are displayed as lines or columns.

[0230] In one embodiment of the above method of the present invention, the human-computer interactive defect list 5 and the defect specific information list 572 are displayed in descending or ascending order according to the defect quantity (55, 577) and / or defect occurrence time.

[0231] In one embodiment of the above method of the present invention, the step of issuing an early warning according to the monitored defects further comprises:

[0232] When the defect quantity 577 corresponding to the defect occurrence location description is greater than a configurable first defect quantity, an early warning message is sent to the relevant department and / or responsible personnel.

[0233] In one embodiment of the above method of the present invention, the step of creating a defect tracking record 581 and tracking the monitored defects further includes:

[0234] Step S61: automatically creating the defect tracking record 581 in the detailed information 57 of the defect;

[0235] Step S62: The responsible person formulates a short-term measure and / or a long-term measure plan for the defect in the defect tracking record 581;

[0236] Step S63: Tracking and automatically reminding according to the short-term measures and / or long-term measures plan.

[0237] A common phenomenon is that after defect visualization and defect data analysis, a corresponding plan is formulated, but the plan often needs to be managed using another software, which is not conducive to problem tracking. In one embodiment of the present invention, the defect tracking record 581 is automatically created in the specific information of the defect, and short-term measures and / or long-term measures plans are formulated in the defect tracking record 581, and automatic tracking and reminders can be performed, thereby reducing the corresponding process, reducing communication costs, and improving problem solving efficiency.

[0238] In an embodiment of the above method of the present invention, the defect data is obtained by performing quality inspection on multiple components in the vehicle production process at production plants located in different locations around the world.

[0239] Please refer to Figure 6 , Figure 6 The present invention is a schematic block diagram of a vehicle production process quality control visualization, early warning and tracking device in one embodiment of the present invention.

[0240] The present invention also discloses a vehicle production process quality control visualization, early warning and tracking device 20, which is used to execute any of the above methods, including:

[0241] The quality inspection data recording module 21 is used to record qualified data that meets the quality inspection standards, record defects that do not meet the quality inspection standards to obtain defect data, and store the defect data and qualified data in a database;

[0242] Visualization module 22: used to visualize the defect data and obtain a human-computer interactive visualization screen 10 showing defect trends;

[0243] A monitoring module 23, for monitoring defects in the production process according to the human-machine interactive visualization screen 10 showing defect trends;

[0244] An early warning module 24 is used to issue an early warning for the monitored defects;

[0245] The tracking module 25 is used to create and track defect tracking records 581 for the monitored defects.

[0246] Please refer to Figure 7 , Figure 7 The figure is a schematic block diagram of a server in one embodiment of the present invention.

[0247] The present invention also discloses a server 200 for executing any of the methods described above, including a processor 2001, a memory 2002, and an input-output device 2003, wherein the processor 2001, the memory 2002, and the input-output device 2003 are connected via a system bus 2004, and also includes a vehicle production process quality control visualization, early warning and tracking device 20.

[0248] The processor 2001 mentioned above can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 2001 can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0249] The present invention also discloses a storage medium for storing a computer control program, wherein the computer control program is used to execute the steps of any one of the above methods.

[0250] The above-mentioned computer program executable by processor 2001 can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the technical field.

[0251] Through the above-disclosed vehicle production process quality control visualization, early warning and tracking method and device, quality defects in the mass vehicle production process can be recorded, monitored and tracked, and global multi-workshop data sharing can be realized, providing data support for the rapid resolution of problems, and effectively improving problem-solving efficiency and reducing costs.

[0252] In summary, the present invention may have many other embodiments. Without departing from the spirit and essence of the present invention, technicians familiar with the field can evolve various corresponding changes and deformations based on the present invention, but these corresponding changes and deformations should all fall within the scope of protection of the patent applied for the present invention.

Claims

1. A method for visualizing, warning and tracking quality control in a vehicle production process, characterized in that: The following steps are involved: Conduct quality inspections on multiple components during vehicle production according to quality inspection standards; Record qualified data that meets the quality inspection standards, record defects that do not meet the quality inspection standards, obtain defect data, and store the defect data and qualified data in a database; Visualizing the defect data to obtain a human-computer interactive visualization screen showing defect trends; Monitoring defects in the production process according to the human-machine interactive visualization screen showing defect trends; Provide early warning based on monitoring deficiencies; Create defect tracking records and track monitored defects.

2. The method according to claim 1, characterized in that The qualified data further includes the quality inspection quantity, inspection date, and vehicle number.

3. The method according to claim 1, characterized in that The step of obtaining a human-computer interactive visualization screen showing defect trends is obtained by processing the defect quantity and defect occurrence time.

4. The method according to claim 3, characterized in that The step of obtaining a human-computer interactive visualization screen showing defect trends by processing the defect quantity and defect occurrence time further includes: Generate a vehicle model column step that can be interacted with by humans and machines based on defect data; Steps for generating a human-machine interactive work department defect trend screen based on defect data; Generate the start and end time selection project steps that can be interacted with by humans and machines based on the defect data; Generate defect distribution steps for the latest day based on defect data; Generate a defect list step that can be interacted with by humans and machines based on defect data.

5. The method according to claim 4, characterized in that The step of generating a vehicle type selection column capable of human-computer interaction according to the defect data further includes: Generating the vehicle model column step; Steps for switching the vehicle model column through human-computer interaction; According to the switched vehicle model, the defect trend screen of the work department, the start and end time selection items, the defect distribution and defect list of the latest day are updated and displayed.

6. The method according to claim 4, characterized in that The step of generating a human-computer interactive work department defect trend screen according to the defect data further includes: Generate timeline and defect axis steps; Based on the defect data, different color legends are used to represent multiple work department steps; The step of segmenting the time axis between the start time and the end time according to a configurable first time interval to obtain a plurality of first segment time points; The step of displaying the inspection qualified rate and the defect contribution rate of the work department according to the defect axis at the first segmented time point; On the time axis, the inspection qualified rates and the defect contribution rates of the work departments at the multiple first segmented time points are connected or displayed in a columnar form.

7. The method according to claim 6, characterized in that The step of generating a human-computer interactive work department defect trend screen according to the defect data also includes: Display more project steps for human-computer interaction, including: Display the work department defect trend screen zoom project steps; Display the defect trend screen of the work department to restore the project steps; Display the steps for downloading the defect contribution rate data of the work department; Display switching line chart showing work department defect trend screen project steps; Display switching bar graph display work department defect trend screen project steps; Display the work department defect trend screen to refresh the project steps; Display and save the work department defect trend screen as a picture project step.

8. The method according to claim 6 or 7, characterized in that The defect axis further includes a percentage scale, and the time axis further includes a date scale.

9. The method according to claim 6, characterized in that The sum of the inspection pass rate at the first segment time point and the defect contribution rate of the work department is 100%.

10. The method according to claim 6, characterized in that The configurable first time interval is one day.

11. The method according to claim 4, characterized in that The step of generating a start and end time selection item capable of human-computer interaction according to the defect data further includes: Generate selectable start and end time steps; A step of selecting a start time and an end time through human-computer interaction; According to the selected start time and end time, the defect trend screen of the work department, the start and end time selection items, the defect distribution and defect list of the latest day are updated and displayed.

12. The method according to claim 4, characterized in that The step of generating the defect distribution of the latest day according to the defect data further includes: Display the date step of the latest day; The defect contribution rate step of all work departments corresponding to the latest day is displayed according to the defect data.

13. The method according to claim 4, characterized in that The step of generating a defect list capable of human-computer interaction according to the defect data further includes: Show the location where the defect occurred and describe the steps; Display the code steps of the location where the defect occurred; Show defect type description steps; Display defect type code steps; Display defect quantity step; Display the human-computer interaction project steps of the defect specific information.

14. The method according to claim 13, characterized in that The step of displaying the defect specific information further includes: Select the step of human-computer interaction project for defect specific information; Steps to display the trend screen of the said defect; The step of displaying a detailed information list of the defect further includes: The vehicle number exhibiting the defect; The production shift number of the vehicle exhibiting the defect; Display the description of the location where the defect occurred; Display the location code of the defect; Display defect type description; Display defect type code; Display the number of defects; Display photos of defects during quality inspection; Show defect tracking records.

15. The method according to claim 14, characterized in that The step of displaying the defect trend screen further includes: Generate a time axis and a defect axis, the time axis includes a time scale, and the defect axis includes a quantity scale step; According to the defect data, segmenting between the start time and the end time of the time axis according to the configurable first time interval to obtain a plurality of second segment time points; displaying the defect quantity step according to the defect axis at the second segmented time point; The step of displaying the defect quantities at multiple second segment time points in a line or columnar manner on the time axis.

16. The method according to claim 14, characterized in that The defect list capable of human-computer interaction and the defect specific information list are displayed in descending or ascending order according to the defect quantity and / or defect occurrence time.

17. The method according to claim 13, characterized in that The step of providing an early warning according to the monitored defects further includes: When the defect quantity corresponding to the defect occurrence location description is greater than a configurable first defect quantity, an early warning message is sent to the relevant department and / or responsible personnel.

18. The method of claim 14, wherein: The step of creating defect tracking records and tracking the monitored defects further includes: Automatically create the defect tracking record in the specific information of the defect; The responsible person shall formulate a short-term and / or long-term action plan for the defect in the defect tracking record; Tracking and automatic reminders are performed according to the short-term measures and / or long-term measures plan.

19. The method according to claim 1, wherein: The defect data is obtained by quality testing of multiple components during the vehicle production process at production plants located in different locations around the world.

20. The method of claim 1, wherein: The database may be one or more of a stand-alone database, a centralized database, and a distributed database.

21. A vehicle production process quality control visualization, early warning and tracking device, used to execute the method according to any one of claims 1 to 20, characterized in that: include: A quality inspection data recording module, used to record qualified data that meets the quality inspection standards, record defects that do not meet the quality inspection standards to obtain defect data, and store the defect data and qualified data in a database; Visualization module: used to visualize the defect data and obtain a human-computer interactive visualization screen showing defect trends; A monitoring module, used to monitor defects in the production process based on the human-computer interactive visualization screen showing defect trends; An early warning module, used for issuing early warnings for the monitored defects; The tracking module is used to create and track defect tracking records for the monitored defects.

22. A server comprising a processor, a memory, and an input / output device, wherein the processor, the memory, and the input / output device are connected via a system bus, and is used to execute the method according to any one of claims 1 to 20, wherein: Also included is the apparatus of claim 21.

23. A storage medium for storing a computer control program, characterized in that: The computer control program is used to execute the steps of the method according to any one of claims 1 to 20.

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