CN114115166A - Error-proofing and tracing management method applying commercial vehicle electric control system - Google Patents
Error-proofing and tracing management method applying commercial vehicle electric control system Download PDFInfo
- Publication number
- CN114115166A CN114115166A CN202010869616.8A CN202010869616A CN114115166A CN 114115166 A CN114115166 A CN 114115166A CN 202010869616 A CN202010869616 A CN 202010869616A CN 114115166 A CN114115166 A CN 114115166A
- Authority
- CN
- China
- Prior art keywords
- information
- electric control
- management
- control element
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000007726 management method Methods 0.000 title claims abstract description 83
- 239000000463 material Substances 0.000 claims abstract description 64
- 239000011159 matrix material Substances 0.000 claims abstract description 23
- 238000009434 installation Methods 0.000 claims abstract description 19
- 238000011161 development Methods 0.000 claims abstract description 9
- 238000001514 detection method Methods 0.000 claims description 83
- 238000004519 manufacturing process Methods 0.000 claims description 75
- 238000000034 method Methods 0.000 claims description 24
- 238000003745 diagnosis Methods 0.000 claims description 18
- 238000012360 testing method Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 6
- 238000013523 data management Methods 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 4
- 238000012356 Product development Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000010923 batch production Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 230000002265 prevention Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000008707 rearrangement Effects 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 abstract description 5
- 238000013461 design Methods 0.000 abstract description 2
- 230000007246 mechanism Effects 0.000 abstract description 2
- 238000013068 supply chain management Methods 0.000 abstract 1
- 230000006872 improvement Effects 0.000 description 9
- 238000010561 standard procedure Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
Abstract
The invention discloses a mistake-proofing and tracing management method for an electric control system of an applied commercial vehicle, wherein a development engineer compiles information of electric control elements into an electric control element matrix item by item in a PLM according to the structure of a super BOM of a whole vehicle, the electric control element matrix is called by the whole vehicle according to a function group relation, and an EOL engineer develops software based on a data source of the electric control element matrix of the development engineer and locks the information in a variable database; after the DMS system receives a customer order and transmits the customer order to the SAP system, the SAP system creates an order material list based on data in the PLM system, transmits the order material list to the MES system and then transmits the order material list to an installation station; the installation station implements triple error-proof management and control, and a triple error-proof management mechanism can effectively manage and control a design end, a material storage management end and a supply chain management end.
Description
Technical Field
The invention relates to the technical field of automobiles, in particular to a mistake-proofing and tracing management method for an electric control system of a commercial vehicle.
Background
An electronic control system for automobile is composed of sensor, Electronic Controller (ECU), driver and control program software, and features that it is matched with mechanical system on automobile, and the electric cable or radio wave is used to transmit information for electromechanical integration. Under the current push of the regulations and the market due to the policies such as emission regulations, new energy policies, automobile electronic control, intelligent driving and the like, the electronization degree of the commercial vehicle is higher and higher, and the electronic control responsibility degree of the commercial vehicle exceeds that of a common passenger vehicle in certain scenes. The commercial vehicle is characterized by multiple varieties, multi-power final assembly, small batch and customization, and the production quality management becomes important content under the condition of complex electric control system. At present, advanced management systems such as SAP, PLM, MES and the like are widely adopted in automobile enterprises and are used in the fields of research and development management, production management, financial management and the like of the enterprises, and data transmission among the systems is gradually communicated. And the types of the electric control systems of the commercial vehicles are various, and various electric control systems such as online programming, online configuration, online detection and the like are needed, and the systems provide new requirements for field management and control. The two-dimension code scanning tracing system is adopted in a conventional tracing system of a production line at present, an operator scans a two-dimension code on an electric control element by using scanning equipment, the two-dimension code is essentially a storage unit of material information, the obtained material information is possibly inconsistent with software information inside the electric control element, when the electric control system of the whole automobile breaks down, the electric control element is scanned and traced in sequence by a traditional manual visual inspection mode, the efficiency is low, and meanwhile, the software information inside the electric control element can not be searched, and the management is inconvenient. Therefore, a method for preventing error and tracing management by using the commercial vehicle electric control system is needed to solve the problems.
Disclosure of Invention
The invention aims to provide a mistake proofing and tracing management method for an electric control element group of a commercial vehicle, which aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides a mistake proofing and tracing management method for an electric control element group of a commercial vehicle, which comprises the following steps:
s1, the product development engineer organizes the information in the whole vehicle configuration table as independent functions one by one in a PLM (product lifecycle management) product data management system according to a whole vehicle super bill of materials management mode to build an electric control element group matrix, and creates a whole vehicle super bill of materials to enter the whole vehicle super bill of materials management;
s2: an EOL offline detection engineer develops software based on a matrix data source of an electric control element group of a development engineer and locks information in a variable database;
s3, after an SQE (supplier Quality engineering) supplier Quality management engineer receives an electric control element group matrix data source of a hardware engineer, releasing data to the supplier in an SQP (supplier Quality engineering) supplier management system, making a system approval scheme and plan, and after the product is finished and approved, locking the data in a supplier off-line detection program;
s4: when a customer order is received by a DMS (manager Management system) and transmitted to an SAP (System for service) resource Management system, the SAP resource Management system creates an order BOM material list based on data in a PLM product data Management system, transmits the order BOM material list to an MES (manufacturing execution system) manufacturing execution system, and transmits the data to an installation station by the MES manufacturing execution system according to the station;
s5: after the installation station receives the data transmitted by the manufacturing execution system, a production worker scans the two-dimensional code on the surface of the part to collect the electric control data of the part when assembling the part, the collected data is uploaded to the manufacturing execution system, and multi-stage error-proofing management and control is executed; firstly, storing and comparing the collected information of the electric control element group with a manufacturing execution system, then comparing the information transmitted by an offline detection system with the information transmitted by the manufacturing execution system, finally comparing the internal information of the electric control element group with a database by the EOL offline detection system, and starting programming after all the information is completely correct;
s6: after all programming work is finished, the EOL off-line detection system resets the electric control element group, then faults are cleared through the UDS unified diagnosis service diagnosis instruction again, information and programming information of the electric control element group are read, and data are stored in the EOL off-line detection server and are transmitted to the MES production manufacturing execution system.
As a further improvement of the above technical solution, in step S5, the multi-stage error protection management and control includes the following steps:
a1: primary error prevention management and control: the method comprises the following steps that firstly, material information of an installed electric control unit is input into an installation station by using scanning equipment on the station, the material information is uploaded to an MES manufacturing execution system for storage and comparison after information is collected, when data are consistent, a station information terminal prompts that materials are accurate, next installation work is carried out, when the comparison is inconsistent, the station information terminal sends out an acousto-optic prompt, and the information is sent to field management personnel for operation and processing until the installation can be carried out;
a2: and (4) secondary error-proofing management and control: after the installation work is finished, the whole vehicle flows to an EOL off-line detection programming station, an operator connects an EOL off-line detection tool to an OBD fault diagnosis detection port of the whole vehicle, VIN vehicle identification numbers of the whole vehicle are scanned by scanning equipment, an EOL off-line detection system is activated, the EOL off-line detection system automatically compares whether data of an MES manufacturing execution system and data of the EOL off-line detection system are consistent or not, and after the comparison is consistent, a material object programming flow is entered;
a3: three-level error-proofing management and control: and after the EOL offline detection system is accessed to the whole vehicle communication network through the OBD fault diagnosis detection port, the information of the electric control element groups is read one by one through a UDS unified diagnosis service diagnosis instruction, the information is compared with the data stored in the EOL offline detection system, when the comparison is consistent, the EOL offline detection programming station downloads required information from an EOL offline detection server in the EOL offline detection system, the electric control element groups are programmed, and after the programming is finished, the programming time and programming tool codes of the EOL offline detection system are written into the electric control element groups.
As a further improvement of the above technical solution, in step a1, when the material information of the installed electronic control unit is inconsistent with the data stored in the manufacturing execution system, the operator of the field management system transmits the material information to the MES manufacturing execution system, checks the material information, and regenerates the station material resource list.
As a further improvement of the above technical solution, in step a2, when the data of the MES manufacturing execution system is inconsistent with the data of the EOL offline detection system, the operator of the EOL offline detection programming station stops working, and displays the comparison result information on the EOL offline detection programming station, and transmits the comparison result information to the MES manufacturing execution system through the field management system to process the data.
As a further improvement of the above technical solution, in step a3, when the comparison between the electric control element group of the entire vehicle and the data stored in the EOL offline detection system is inconsistent, the EOL offline detection workstation stops working and warns production operators and material managers that the material state is abnormal, and transmits the comparison information to the MES manufacturing execution system for rearrangement.
As a further improvement of the above technical solution, in step S1, the electric control element group matrix includes a material part number, a drawing number, a hardware version part number, a software package part number, and a configuration variable group of the electric control element group, and information in the configuration table of the entire vehicle is managed according to the part number.
As a further improvement of the above technical solution, the matrix of the electric control element group includes that the material number, the drawing number, the hardware version number, the software package number, and the configuration variable group of the electric control element group are managed according to the part setting change each time, a new part number is generated, the part numbers are independent and do not conflict, and the materials in the electric control element group all have unique part numbers, so that the electric control element group can be conveniently called by a whole vehicle and can be conveniently managed.
As a further improvement of the above technical solution, in step S3, after receiving the matrix data source of the electric control element group of the development engineer, the SQE supplier quality management engineer starts a product approval process for the supplier product in the SQP system, performs a PV formal production test, performs an sop (standard Operating procedure) standard operation production approval after a small batch production verification, and finally completes the locking of the EOL offline detection program by the supplier.
As a further improvement of the technical scheme, after a supplier finishes the locking of an EOL offline detection program, the information of the electric control element group enters a pre-test production test in the EOL offline detection system, after the test is successful, the data is uploaded to an EOL offline detection system server, if the test is failed, an EOL offline detection engineer adjusts the software information in the variable database based on the information of the electric control element group, and an SQE engineer controls the quality of the electric control element group in the SQP system so as to achieve the selection standard of the electric control element group elements.
As a further improvement of the above technical solution, in step S6, after the programming is finished, the EOL offline detection system numbers the EOL offline detection workstation, writes the programming time into the electrical control element group, resets the electrical control element group, reads the electrical control information, the electrical control configuration information, and the programming information again, stores the information as a log in the EOL offline detection server, and simultaneously returns the programming success status to the MES manufacturing execution system.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention takes the material number, hardware version number, software version number and software of the electric control element group as the management and control elements, realizes unique state management by adopting the element number management mode adopted by the traditional software and hardware versions, carries out upgrade management on the replaced new element number by the corresponding change part of each product upgrade, and carries out one-by-one mistake-proof management and control on the material information in the electric control element group;
2. the method comprises the steps of compiling a matrix of the electric control element group by material information in the electric control information, storing the matrix into a PLM system, and taking the PLM as a unique source of system management and control data to perform error-proof management and control on the electric control element group from the source;
3. the invention completes PLM, SAP, MES and EOL data through factory informatization technology, can realize real-time inspection and error feedback in the production process, avoids artificial interference and improves the operation efficiency;
4. the method realizes a triple error-proof management mechanism, and realizes effective management and control on a design end, a material storage management end and a supply chain association end;
5. when the whole vehicle has the condition of fault recall and the like, the method can connect the whole vehicle to the system through the OBD port, call materials, program and other information to check one by one, conveniently and quickly troubleshoot faults and find out problems.
Description of the drawings:
FIG. 1 is a flow chart of the operation of the present invention.
The specific implementation mode is as follows:
in order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. The examples, in which specific conditions are not specified, were conducted under conventional conditions or conditions recommended by the manufacturer. The reagents or instruments used are not indicated by the manufacturer, and are all conventional products available commercially.
Example (b): as shown in fig. 1, a method for error-proofing and tracing management of an electric control system of a commercial vehicle includes the following steps:
in a PLM (product lifecycle management) product data management system, according to a complete vehicle BOM (Bill of Material) super material list management mode, a product development engineer uses information in a complete vehicle configuration table as an independent function group one by one to compile an electric control element group matrix, creates a complete vehicle super material list and enters the complete vehicle BOM super material list management;
s2: an offline detection engineer develops software based on a matrix data source of an electric control element group of a development engineer and locks information in a variable database;
s3, after an SQE (supplier Quality engineering) supplier Quality management engineer receives an electric control element group matrix data source of a hardware engineer, releasing the data to the supplier in an SQP supplier management system, making a system approval scheme and plan, and after the product is finished production approval, locking the data in a supplier EOL off-line detection program;
s4: when the order system receives a customer order and transmits the customer order to the SAP resource management system, the SAP resource management system creates an order BOM bill of materials based on data in the PLM product data management system, transmits the order BOM bill of materials to an MES (manufacturing execution system) manufacturing execution system, the MES manufacturing execution system transmits the data to an installation station according to the station, and after receiving an order serial number, the SAP system matches a vehicle basic BOM in the PLM system, generates a final production BOM according to the selected part number and transmits the final production BOM to the MES system;
s5: after the installation station receives the data transmitted by the manufacturing execution system, a production worker scans the two-dimensional code on the surface of the part to collect the electric control data of the part when assembling the part, the collected data is uploaded to the manufacturing execution system, and multi-stage error-proofing management and control is executed; firstly, storing and comparing the collected information of the electric control element group with a manufacturing execution system, then comparing the information transmitted by an offline detection system with the information transmitted by the manufacturing execution system, finally comparing the internal information of the electric control element group with a database by the EOL offline detection system, and starting programming after all the information is completely correct;
s6: after all programming work is finished, the EOL off-line detection system resets the electric control element group, then faults are cleared through the UDS unified diagnosis service diagnosis instruction again, information and programming information of the electric control element group are read, and data are stored in the EOL off-line detection server.
In step S5, the multi-stage error-proofing management and control includes the following steps:
a1: primary error prevention management and control: the method comprises the following steps that an installation station firstly scans bar codes of electric control units by using scanning equipment on the station, material information of the installed electric control units is input, the information is uploaded to an MES manufacturing execution system for storage and comparison after being collected, when data are consistent, a station information terminal prompts the material to be accurate, next installation work is carried out, when the comparison is inconsistent, the station information terminal sends out an acousto-optic prompt and sends the information to field management personnel for operation and processing until the material can be installed, and the MES system sends final production BOM to a production station and an EOL server according to process route arrangement;
a2: and (4) secondary error-proofing management and control: after the installation work is finished, the whole vehicle flows to an EOL off-line detection programming station, an operator connects an EOL off-line detection tool to an OBD fault diagnosis detection port of the whole vehicle, VIN vehicle identification numbers of the whole vehicle are scanned by scanning equipment, an EOL off-line detection system is activated, the EOL off-line detection system automatically compares whether data of an MES manufacturing execution system and data of the EOL off-line detection system are consistent or not, and after the comparison is consistent, a material object programming flow is entered;
a3: three-level error-proofing management and control: and after the EOL offline detection system is accessed to the whole vehicle communication network through the OBD fault diagnosis detection port, the information of the electric control element groups is read one by one through a UDS unified diagnosis service diagnosis instruction, the information is compared with the data stored in the EOL offline detection system, when the comparison is consistent, the EOL offline detection programming station downloads required information from an EOL offline detection server in the EOL offline detection system, the electric control element groups are programmed, and after the programming is finished, the programming time and programming tool codes of the EOL offline detection system are written into the electric control element groups.
In step a1, when the material information of the installed electronic control unit is inconsistent with the data stored in the manufacturing execution system, the operator of the field management system transmits the material information to the MES manufacturing execution system, checks the material information, and regenerates the station material resource list.
In step a2, when the data of the MES manufacturing execution system is inconsistent with the data of the EOL offline detection system, the operator of the EOL offline detection programming station stops working, and the comparison result information is displayed on the EOL offline detection programming station and transmitted to the MES manufacturing execution system through the field management system to process the data.
In the step A3, when the comparison between the whole electric control element group and the data stored in the EOL off-line detection system is inconsistent, the EOL off-line detection workstation stops working and warns production operators and material managers that the material state is abnormal, and transmits the comparison information to the MES manufacturing execution system for rearrangement.
In step S1, the electric control element group matrix includes a material part number, a drawing number, a hardware version part number, a software package part number, and a configuration variable group of the electric control element group, information in the entire vehicle configuration table is managed according to the part number, the part number is managed independently and conveniently, the entire vehicle associates all the electric control element groups in the entire vehicle basic model according to corresponding calling rules, and the calling rules of the electric control element groups are formulated based on the selected part relationship.
The electric control element group matrix comprises a material part number, a drawing number, a hardware version part number, a software package part number and a configuration variable group of the electric control element group, and the change of each time is managed according to the part setting change, so that a new part number is generated, and the part numbers are independent and do not conflict.
In step S3, after receiving the matrix data source of the electric control element group from the development engineer, the SQE supplier quality management engineer starts a product approval process for the supplier product, performs PV formal production test, performs sop (standard Operating procedure) standard operation production approval after small-batch production verification, and finally completes the locking of the EOL offline detection program by the supplier.
After the supplier finishes the locking of the EOL off-line detection program, the electric control element group information enters a pre-test production test in the EOL off-line detection system, data are uploaded to an EOL off-line detection system server after the test is successful, and an EOL off-line detection engineer adjusts the software information in the variable database based on the electric control element group information if the test is failed.
In step S6, after the programming is finished, the EOL offline detection system numbers the EOL offline detection workstation, writes the programming time into the electrical control element group, resets the electrical control element group, reads the electrical control information, the electrical control configuration information, and the programming information again, stores the information as a log into the EOL offline detection server, and simultaneously returns the programming success status to the MES manufacturing execution system, and when the EOL programming status needs to be checked, the MES or the EOL background can call the comparison log, the programming log, the fault log, and other operation information, thereby realizing the final tracking information management closed loop of the electrical control element group.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. A mistake-proofing and tracing management method for an electric control system of a commercial vehicle comprises the following steps:
s1, the product development engineer uses the information in the whole vehicle configuration table as an independent function group item by item in the product data management system according to the whole vehicle super bill of material management mode to compile an electric control element group matrix, and creates a whole vehicle super bill of material to enter the whole vehicle super bill of material management;
s2: an offline detection engineer develops software based on a matrix data source of an electric control element group of a development engineer and locks information in a variable database;
s3, after the supplier quality management engineer receives the matrix data source of the electric control element group of the development engineer, the supplier quality management engineer releases the data to the supplier in the supplier management system, and makes a system approval scheme and plan, and after the product is finished production approval, the data is locked in the off-line detection program of the supplier;
s4: after the order system receives a customer order and transmits the customer order to the resource management system, the resource management system creates an order based on data in the product data management system to generate a production bill of materials, transmits the production bill of materials to the manufacturing execution system, and transmits the data to the installation station by the manufacturing execution system according to the station;
s5: after the installation station receives the data transmitted by the manufacturing execution system, a production worker scans the two-dimensional code on the surface of the part to collect the electric control data of the part when assembling the part, the collected data is uploaded to the manufacturing execution system, and multi-stage error-proofing management and control is executed; firstly, storing and comparing the collected information of the electric control element group with a manufacturing execution system, then comparing the information transmitted by an offline detection system with the information transmitted by the manufacturing execution system, finally, comparing the information in the electric control element group with a database by the offline detection system, and starting programming when all the information is completely correct;
s6: after all programming work is finished, the off-line detection system resets the electric control element group, then faults are cleared through the unified diagnosis service diagnosis instruction again, information of the electric control element group and programming information are read, and data are stored in the off-line detection server and are transmitted to the production and manufacturing execution system.
2. The method for error-proofing and tracing management of the electric control system of the utility vehicle according to claim 1, wherein in step S5, the multi-stage error-proofing management and control comprises the following steps:
a1: primary error prevention management and control: the method comprises the steps that firstly, material information of an installed electronic control unit is input into an installation station by using scanning equipment on the station, the material information is uploaded to a manufacturing execution system after information is collected and stored for comparison, when data are consistent, a station information terminal prompts that materials are accurate, next installation work is carried out, when the comparison is inconsistent, the station information terminal sends out an acousto-optic prompt, and the information is sent to a field manager for operation processing until the installation can be carried out;
a2: and (4) secondary error-proofing management and control: after the installation work is finished, the whole vehicle flows to an offline detection programming station, an operator connects an offline detection tool to a fault diagnosis detection port of the whole vehicle, a scanning device is used for scanning the vehicle identification number of the whole vehicle, an offline detection system is activated, the offline detection system automatically compares whether the data of a manufacturing execution system and the data of the offline detection system are consistent, and after the comparison is consistent, a material object programming flow is started;
a3: three-level error-proofing management and control: the off-line detection system is accessed to the whole vehicle communication network through a fault diagnosis detection port, information of the electric control element groups is read one by one through a unified diagnosis service diagnosis instruction and is compared with data stored in the off-line detection system, when the comparison is consistent, an off-line detection programming station downloads required information from an off-line detection server in the off-line detection system, the electric control element groups are programmed, and after the programming is finished, programming time and programming tool codes of the off-line detection system are written into the electric control element groups.
3. The method according to claim 2, wherein in step a1, when the material information of the installed electronic control unit is inconsistent with the data stored in the manufacturing execution system, the operator of the field management system transmits the material information to the manufacturing execution system, checks the material information, and regenerates the station material resource list.
4. The method for error proofing and traceability management of an electric control system of a commercial vehicle as claimed in claim 2, wherein in step a2, when the data of the manufacturing execution system is inconsistent with the data of the off-line detection system, the operator of the off-line programming station stops working, and the comparison result information is displayed on the off-line programming station and transmitted to the manufacturing execution system through the field management system to process the data.
5. The method for error proofing and traceability management of an electric control system of a commercial vehicle as claimed in claim 2, wherein in step a3, when the comparison between the electric control element group of the entire vehicle and the data stored in the off-line detection system is inconsistent, the off-line detection workstation stops working and warns production operators and material managers that the material state is abnormal, and transmits the comparison information to the manufacturing execution system for rearrangement.
6. The method according to claim 1, wherein in step S1, the electric control element group matrix comprises a material part number, a drawing number, a hardware version part number, a software package, and a configuration variable group of the electric control element group, and is called by the entire vehicle according to the function group, and information in the entire vehicle configuration table is managed according to the part number.
7. The method for error-proofing and tracing management of the electric control system of the commercial vehicle according to claim 1 or 6, wherein the matrix of the electric control element group comprises a material part number, a drawing number, a hardware version part number, a software package part number and a configuration variable group of the electric control element group, and each change is managed according to a part setting change, so that a new part number is generated, and the part numbers are independent and do not conflict.
8. The method as claimed in claim 1, wherein in step S3, after the supplier quality management engineer receives the matrix data source of the electrical control element group from the development engineer, the supplier quality management engineer starts a product approval process for the supplier product, performs a formal production test, performs a small batch production verification, performs a standard operation production approval, and finally completes the locking of the under-line detection program.
9. The method according to claim 8, wherein after the supplier finishes locking the offline detection program, the information of the electronic control element group enters a pre-test production test in the offline detection system, after the test is successful, the data is uploaded to an offline detection system server, and when the test is failed, an offline detection engineer adjusts the software information in the variable database based on the information of the electronic control element group.
10. The method as claimed in claim 1, wherein in step S6, after the programming is completed, the offline inspection system numbers the offline inspection workstation, writes the programming time into the electrical control element group, resets the electrical control element group, reads the electrical control information, the electrical control configuration information, and the programming information again, stores the information as a log in the offline inspection server, and returns the successful programming status to the manufacturing execution system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010869616.8A CN114115166B (en) | 2020-08-26 | 2020-08-26 | Error-proofing and traceability management method for electronic control system of commercial vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010869616.8A CN114115166B (en) | 2020-08-26 | 2020-08-26 | Error-proofing and traceability management method for electronic control system of commercial vehicle |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114115166A true CN114115166A (en) | 2022-03-01 |
| CN114115166B CN114115166B (en) | 2024-04-02 |
Family
ID=80373985
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010869616.8A Active CN114115166B (en) | 2020-08-26 | 2020-08-26 | Error-proofing and traceability management method for electronic control system of commercial vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114115166B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116167544A (en) * | 2023-04-21 | 2023-05-26 | 北京阿帕科蓝科技有限公司 | Material error prevention method, system and storage medium based on MES system |
| CN116205210A (en) * | 2023-05-05 | 2023-06-02 | 江铃汽车股份有限公司 | Method and system for judging matching performance of electric parts of whole vehicle |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2548502A1 (en) * | 1983-06-20 | 1985-01-04 | Inst Nat Rech Inf Automat | Terminal generating graphics video signals, with directly addressable topographic memory |
| EP0521177A1 (en) * | 1991-07-01 | 1993-01-07 | Siemens Nixdorf Informationssysteme Aktiengesellschaft | Interface controller for operating database systems |
| US20040010576A1 (en) * | 2002-07-09 | 2004-01-15 | Hyndman Arn C. | Method and apparatus for backward and forward compatibility in device management |
| US20040249606A1 (en) * | 2003-02-03 | 2004-12-09 | Hoppes Vern Richard | Infinitely variable, order specific, holistic assembly process control system |
| US20080265997A1 (en) * | 2004-11-23 | 2008-10-30 | Universitaet Stuttgart | Power Amplifier for Amplifying High-Frequency (H.F.) Signals |
| CN102209982A (en) * | 2008-09-30 | 2011-10-05 | 沙特阿拉伯石油公司 | System and method for improved coordination between control and safety systems |
| CN102723243A (en) * | 2012-06-12 | 2012-10-10 | 上海交通大学 | Misassembly preventive system for electrical product assembly |
| CN106094746A (en) * | 2016-06-08 | 2016-11-09 | 上海应用技术学院 | A kind of automobile exterior product manufacturing performs system and method |
| CN206630285U (en) * | 2016-12-15 | 2017-11-14 | 天津职业技术师范大学 | A kind of electronic component managing device |
| CN109447429A (en) * | 2018-10-15 | 2019-03-08 | 宁波吉利汽车研究开发有限公司 | The retroactive method of vehicle component, device and system |
| CN110154190A (en) * | 2019-05-15 | 2019-08-23 | 索菲亚家居湖北有限公司 | A kind of household plate production line and detection method with online vision-based detection function |
| CN110489143A (en) * | 2019-07-18 | 2019-11-22 | 南京依维柯汽车有限公司 | FOTA firmware remote update system and its method on new-energy automobile |
| CN110659866A (en) * | 2019-04-15 | 2020-01-07 | 南京依维柯汽车有限公司 | Method for releasing BOM from PDM system to ERP system |
| CN110826670A (en) * | 2019-11-18 | 2020-02-21 | 南京依维柯汽车有限公司 | Tire pressure system testing method applied to multi-wheel commercial vehicle |
| CN110837676A (en) * | 2019-11-05 | 2020-02-25 | 扬州大学 | Rudder system vibration characteristic prediction method based on multi-body system transfer matrix method |
| CN110968077A (en) * | 2019-12-23 | 2020-04-07 | 奇瑞汽车股份有限公司 | Intelligent interconnection error-proofing method for automobile electronic and electric appliance control module |
| CN111308327A (en) * | 2019-12-02 | 2020-06-19 | 电子科技大学 | Analog circuit fault location and fault element parameter identification method |
-
2020
- 2020-08-26 CN CN202010869616.8A patent/CN114115166B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2548502A1 (en) * | 1983-06-20 | 1985-01-04 | Inst Nat Rech Inf Automat | Terminal generating graphics video signals, with directly addressable topographic memory |
| EP0521177A1 (en) * | 1991-07-01 | 1993-01-07 | Siemens Nixdorf Informationssysteme Aktiengesellschaft | Interface controller for operating database systems |
| US20040010576A1 (en) * | 2002-07-09 | 2004-01-15 | Hyndman Arn C. | Method and apparatus for backward and forward compatibility in device management |
| US20040249606A1 (en) * | 2003-02-03 | 2004-12-09 | Hoppes Vern Richard | Infinitely variable, order specific, holistic assembly process control system |
| US20080265997A1 (en) * | 2004-11-23 | 2008-10-30 | Universitaet Stuttgart | Power Amplifier for Amplifying High-Frequency (H.F.) Signals |
| CN102209982A (en) * | 2008-09-30 | 2011-10-05 | 沙特阿拉伯石油公司 | System and method for improved coordination between control and safety systems |
| CN102723243A (en) * | 2012-06-12 | 2012-10-10 | 上海交通大学 | Misassembly preventive system for electrical product assembly |
| CN106094746A (en) * | 2016-06-08 | 2016-11-09 | 上海应用技术学院 | A kind of automobile exterior product manufacturing performs system and method |
| CN206630285U (en) * | 2016-12-15 | 2017-11-14 | 天津职业技术师范大学 | A kind of electronic component managing device |
| CN109447429A (en) * | 2018-10-15 | 2019-03-08 | 宁波吉利汽车研究开发有限公司 | The retroactive method of vehicle component, device and system |
| CN110659866A (en) * | 2019-04-15 | 2020-01-07 | 南京依维柯汽车有限公司 | Method for releasing BOM from PDM system to ERP system |
| CN110154190A (en) * | 2019-05-15 | 2019-08-23 | 索菲亚家居湖北有限公司 | A kind of household plate production line and detection method with online vision-based detection function |
| CN110489143A (en) * | 2019-07-18 | 2019-11-22 | 南京依维柯汽车有限公司 | FOTA firmware remote update system and its method on new-energy automobile |
| CN110837676A (en) * | 2019-11-05 | 2020-02-25 | 扬州大学 | Rudder system vibration characteristic prediction method based on multi-body system transfer matrix method |
| CN110826670A (en) * | 2019-11-18 | 2020-02-21 | 南京依维柯汽车有限公司 | Tire pressure system testing method applied to multi-wheel commercial vehicle |
| CN111308327A (en) * | 2019-12-02 | 2020-06-19 | 电子科技大学 | Analog circuit fault location and fault element parameter identification method |
| CN110968077A (en) * | 2019-12-23 | 2020-04-07 | 奇瑞汽车股份有限公司 | Intelligent interconnection error-proofing method for automobile electronic and electric appliance control module |
Non-Patent Citations (1)
| Title |
|---|
| 邓汝春;郭孔快;: "基于精益供应链的制造执行系统MES的研究", 工业工程与管理, no. 04 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116167544A (en) * | 2023-04-21 | 2023-05-26 | 北京阿帕科蓝科技有限公司 | Material error prevention method, system and storage medium based on MES system |
| CN116205210A (en) * | 2023-05-05 | 2023-06-02 | 江铃汽车股份有限公司 | Method and system for judging matching performance of electric parts of whole vehicle |
| CN116205210B (en) * | 2023-05-05 | 2023-08-18 | 江铃汽车股份有限公司 | Method and system for judging matching performance of electric parts of whole vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114115166B (en) | 2024-04-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111427333B (en) | Test method and device for Internet of vehicles service platform and computer storage medium | |
| CN106094746B (en) | A kind of automobile exterior product manufacturing execution system and method | |
| EP1674958B1 (en) | A diagnostic method and system | |
| CN114115166A (en) | Error-proofing and tracing management method applying commercial vehicle electric control system | |
| US20020053045A1 (en) | Real-time test controller | |
| US20080103622A1 (en) | Intelligent Assembly System and Method of Use | |
| CN101458525B (en) | Automatic identification method for electric-controlled unit collocation | |
| US6985786B2 (en) | Method for managing manufacturing data | |
| CN103901871A (en) | Remote diagnosis and maintenance system for vehicles | |
| CN112418540A (en) | Intelligent MES real-time data analysis system | |
| CN109214706A (en) | Maintenance tool management method, device, system, server and storage medium | |
| JPH06203040A (en) | Manufacturing history managing system | |
| CN114706599A (en) | Multichannel parallel flash method for vehicle-mounted ECU controller | |
| CN113268397B (en) | Production intelligent test method, device and system | |
| CN112180905A (en) | Vehicle remote diagnosis system and method thereof | |
| CN112700095A (en) | Battery pack production management system | |
| CN110597198B (en) | Quality control device, quality control system and quality control method for TFT substrate glass | |
| CN112132699A (en) | Intelligent optional installation system and method for automobile parts | |
| CN115686594A (en) | Terminal automatic operation and maintenance management system and method | |
| US7181301B2 (en) | Engineering and automation system | |
| CN113887754A (en) | Construction method and system of power distribution terminal unified operation and maintenance platform and constructed platform | |
| CN114488965A (en) | Verifying the compatibility of process modules of an automation system to be newly integrated | |
| CN113553163A (en) | Scheduler-based Jenkins application deployment method and device | |
| CN111478433A (en) | Safe intelligent substation sequence control method and system | |
| CN117226450A (en) | Method and system for preventing module from being wrongly assembled in manufacturing and assembling process |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |