CN115268416A - Automobile electrical control system and control method thereof - Google Patents

Automobile electrical control system and control method thereof Download PDF

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Publication number
CN115268416A
CN115268416A CN202211099540.0A CN202211099540A CN115268416A CN 115268416 A CN115268416 A CN 115268416A CN 202211099540 A CN202211099540 A CN 202211099540A CN 115268416 A CN115268416 A CN 115268416A
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China
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fault
detection
module
maintenance
report
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CN202211099540.0A
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Chinese (zh)
Inventor
何冰强
廖春玲
李建波
高玉丹
刘显龙
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Guangdong Mechanical and Electrical College
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Guangdong Mechanical and Electrical College
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Priority to CN202211099540.0A priority Critical patent/CN115268416A/en
Publication of CN115268416A publication Critical patent/CN115268416A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric 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
    • G05B23/0243Electric 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 model based detection method, e.g. first-principles knowledge model
    • G05B23/0245Electric 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 model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Vehicle Cleaning, Maintenance, Repair, Refitting, And Outriggers (AREA)

Abstract

The invention discloses an automobile electrical control system and a control method thereof, relates to the technical field of automobile electrical control, and solves the technical problems that the existing automobile detection system is imperfect in use, cannot check the damage degree of parts and cannot help to find the damage reason when the parts are damaged; the invention obtains a recommended detection device table through a fault problem template and a vehicle fault detection model; sending the recommended detection device table to a fault detection module; the fault detection module receives the recommended detection device table, detects the device according to the recommended detection device table and obtains a detection report; sending the detection report to a fault maintenance module; the fault maintenance module receives the detection report and sends the detection report to an intelligent terminal of a maintenance worker; the maintenance personnel maintain the fault parts of the automobile according to the analysis report; the monitoring feedback module carries out secondary detection on the failed component; the maintenance personnel can find the fault in the automobile more quickly, a solution is provided, and the maintenance efficiency is improved.

Description

Automobile electrical control system and control method thereof
Technical Field
The invention belongs to the field of automobiles, relates to an automobile electrical appliance control technology, and particularly relates to an automobile electrical control system and a control method thereof.
Background
The automobile comprehensive performance detection line is an automobile detection system which comprehensively utilizes modern detection technology, electronic technology and computer application technology to diagnose an automobile, the automobile enters a first working section at the most, mainly detects the speed, tail gas and a chassis, the second working section mainly detects the braking performance and consists of an axle weight measuring table and a braking test table, and the third working section mainly measures items such as sideslip, light, sound level and the like.
The existing automobile detection system is imperfect when in use, only has fault prompt, but has no help behavior, a vehicle owner can not know which aspects of the damage of the internal parts of the automobile are in, or can only point out the damaged automobile parts, but can not look up the damage degree of the parts, and can help to find the damage reason when the parts are damaged, the connection between the automobile system and the after-sales background is imperfect, the automobile parts can only be blindly dragged to a repair shop for maintenance when damaged, further tracking and service analysis can not be carried out, and only fault indication lacks basic help prompt.
Therefore, the automobile electrical control system and the control method thereof are provided.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. The invention provides an automobile electrical control system and a control method thereof, and the automobile electrical control system and the control method thereof solve the problems that the existing automobile detection system is imperfect in use, only has fault prompt but no help action, and an automobile owner cannot know which aspects of automobile internal parts are damaged or can only point out damaged automobile parts but cannot check the damage degree of the parts and help to find the damage reason when the parts are damaged.
In order to achieve the above object, an electrical control system for an automobile and a control method thereof are provided according to an embodiment of a first aspect of the present invention, which includes a control platform, and a fault analysis module, a fault detection module, a fault maintenance module, a monitoring feedback module and a database connected thereto; information interaction is carried out among all modules based on a data signal mode;
the fault analysis module is used for acquiring a recommended detection device table according to the fault problem template and the vehicle fault detection model; wherein the vehicle fault detection model is established based on an artificial intelligence model;
sending the recommended detection device table to the fault detection module;
the fault detection module is used for receiving the recommended detection device table, detecting devices according to the recommended detection device table and acquiring a detection report;
sending the detection report to the fault maintenance module;
the fault maintenance module is used for receiving the detection report and sending the detection report to an intelligent terminal of a maintenance worker;
the maintenance personnel maintain the fault parts of the automobile according to the analysis report;
and the monitoring feedback module is used for carrying out secondary detection on the failed component.
Preferably, the fault analysis module obtains a recommended detection device table according to the fault problem template and the vehicle fault detection model, and the specific process includes:
the fault vehicle sends a vehicle fault signal to the control platform;
after receiving the vehicle fault signal, the control platform sends a fault detection signal to the fault analysis module;
the fault analysis module receives the fault detection signal and generates a fault problem template to an intelligent terminal of a driver;
a driver fills a fault problem template in an intelligent terminal, and the intelligent terminal sends the fault problem template to the fault analysis module;
the fault analysis module receives the fault problem template and acquires a recommended detection device table according to the fault problem template and the vehicle fault detection model;
and the fault analysis module sends the recommended detection device table to the fault detection module.
Preferably, the intelligent terminal comprises an intelligent mobile phone and a computer.
Preferably, the fault detection module receives the recommended detection device table, detects a device according to the recommended detection device table, and obtains a detection report, and the specific process includes:
the fault detection module receives the recommended detection device table;
acquiring actual parameters of all devices in a recommended detection device table;
calling standard parameters of all devices in the recommended detection device table in the database;
comparing the actual parameters with the standard parameters, and marking the devices with inconsistent comparison results to the faulty devices;
detecting the fault device to obtain a detection report;
displaying the device with the fault of the automobile on a display screen;
and acquiring the failure reason of the device in the detection report, and storing the failure reason of the device in a database.
Preferably, the analysis report includes the cause of the failure of the device and the maintenance measures of the device.
Preferably, the fault maintenance module receives the detection report and sends the detection report to an intelligent terminal of a maintenance person, the maintenance person maintains the fault part of the automobile according to the analysis report, and the specific process comprises the following steps:
the fault maintenance module sends the detection report to an intelligent terminal of a maintenance worker;
the maintenance personnel check and maintain the failed device according to the detection report;
and after the maintenance is finished, the worker sends a maintenance finishing signal to the control platform through the intelligent terminal.
Preferably, the automobile detection model is established based on an artificial intelligence model, and the specific process comprises the following steps:
acquiring standard training data from a fault analysis module;
and training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as an automobile detection model.
The standard training data comprises a plurality of groups of input data and corresponding analysis reports, and the content attributes of the input data and the original data are consistent.
Preferably, the monitoring feedback module carries out secondary detection to the components and parts that break down, and specific process includes:
after the control platform receives the maintenance completion signal, the control platform sends a secondary detection signal to the fault detection module;
the monitoring feedback module is connected with the fault detection module, and the fault detection module carries out secondary detection on the devices in the recommended detection device table again;
the vehicle has no fault problem after secondary detection, which indicates that a maintenance process is finished, and the fault maintenance module sends a maintenance completion signal to the control center.
Preferably, the fault analysis module is in communication and/or electrical connection with the fault detection module;
the fault detection module is in communication and/or electrical connection with the fault repair module;
the monitoring feedback module is in communication and/or electrical connection with the fault detection module.
Compared with the prior art, the invention has the beneficial effects that:
the invention obtains a recommended detection device table through a fault problem template and a vehicle fault detection model; sending the recommended detection device table to a fault detection module; the fault detection module receives the recommended detection device table, detects the device according to the recommended detection device table and obtains a detection report; sending the detection report to a fault maintenance module; the fault maintenance module receives the detection report and sends the detection report to an intelligent terminal of a maintenance worker; the maintenance personnel maintain the fault parts of the automobile according to the analysis report; the monitoring feedback module carries out secondary detection on the failed component; the maintenance personnel can find the fault in the automobile more quickly, a solution is provided, and the maintenance efficiency is improved.
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FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the electrical control system for an automobile and the control method thereof comprise a control platform, and a fault analysis module, a fault detection module, a fault maintenance module, a monitoring feedback module and a database which are connected with the control platform; information interaction is carried out among all modules based on a data signal mode;
the fault analysis module is used for acquiring a recommended detection device table according to the fault problem template and the vehicle fault detection model; wherein the vehicle fault detection model is established based on an artificial intelligence model;
sending the recommended detection device table to the fault detection module;
the fault detection module is used for receiving the recommended detection device table, detecting the device according to the recommended detection device table and acquiring a detection report;
sending the detection report to the fault maintenance module;
the fault maintenance module is used for receiving the detection report and sending the detection report to an intelligent terminal of a maintenance worker;
the maintenance personnel maintain the fault parts of the automobile according to the analysis report;
and the monitoring feedback module is used for carrying out secondary detection on the failed component.
The fault analysis module obtains a recommended detection device table according to the fault problem template and the vehicle fault detection model, and the specific process comprises the following steps:
the fault vehicle sends a vehicle fault signal to the control platform; it needs to be further explained that a vehicle fault generator is installed on the faulty vehicle, and when the vehicle has a fault, the driver sends a vehicle fault signal to the control platform through the vehicle fault generator;
after receiving the vehicle fault signal, the control platform sends a fault detection signal to the fault analysis module;
the fault analysis module receives the fault detection signal and generates a fault problem template to an intelligent terminal of a driver; the intelligent terminal comprises intelligent equipment such as an intelligent mobile phone and a computer; it is further noted that the fault problem template is prepared by a professional; the method comprises the following steps of describing fault questions, wherein the fault question templates do not relate to professional questions and are questions which can be answered and filled by a driver;
a driver fills a fault problem template in an intelligent terminal, and the intelligent terminal sends the fault problem template to the fault analysis module;
the fault analysis module receives the fault problem template and acquires a recommended detection device table according to the fault problem template and the vehicle fault detection model; wherein the vehicle fault detection model is established based on an artificial intelligence model; it should be further noted that a large number of electronic components of various types are used in a vehicle, the failure of the vehicle is mostly caused by the failure or damage of the electronic components, and the recommendation detection device table is used for recommending the electronic components which may cause the failure of the vehicle;
and the fault analysis module sends the recommended detection device table to the fault detection module.
The fault detection module receives the recommended detection device table, detects the device according to the recommended detection device table, and obtains a detection report, and the specific process comprises the following steps:
the fault detection module receives the recommended detection device table;
acquiring actual parameters of all devices in a recommended detection device table;
calling standard parameters of all devices in the recommended detection device table in the database;
comparing the actual parameters with the standard parameters, and marking the devices with inconsistent comparison results to the faulty devices;
detecting the fault device to obtain a detection report; it is further noted that the detection report includes the reason for the failure of the device and the maintenance measures of the device;
displaying the device with the fault of the automobile on a display screen;
and acquiring the failure reasons of the devices in the detection report, and storing the failure reasons of the devices in a database.
It should be noted that the reason why the device fails is stored in the database, so that the maintenance personnel can more comprehensively know the condition of the vehicle in the subsequent maintenance process.
The maintenance of trouble module is received the detection report, and will the detection report sends maintenance personal's intelligent terminal, and maintenance personal basis the analysis report is maintained the trouble part of car, and concrete process includes:
the fault maintenance module sends the detection report to an intelligent terminal of a maintenance worker;
the maintenance personnel check and maintain the failed device according to the detection report;
and after the maintenance is finished, the worker sends a maintenance finishing signal to the control platform through the intelligent terminal.
In this embodiment, the analysis report includes the cause of the device failure and the device maintenance measures.
In an optional embodiment, the automobile detection model is established based on an artificial intelligence model, and the specific process includes:
obtaining standard training data from a fault analysis module;
and training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as an automobile detection model.
In this embodiment, the standard training data includes a plurality of sets of input data and corresponding analysis reports, and the input data and the raw data have consistent content attributes.
In this embodiment, the artificial intelligence model includes a model with strong nonlinear fitting capability, such as a deep convolutional neural network model or an RBF neural network model.
The monitoring feedback module carries out secondary detection to the components and parts that break down, and concrete process includes:
after the control platform receives a maintenance completion signal, the control platform sends a secondary detection signal to the fault detection module;
the monitoring feedback module is connected with the fault detection module, and the fault detection module carries out secondary detection on the devices in the recommended detection device table again;
the vehicle has no fault problem after secondary detection, which indicates that a maintenance process is finished, and the fault maintenance module sends a maintenance completion signal to the control center;
and the control center receives the maintenance completion signal and the whole maintenance process is finished.
In this embodiment, the fault analysis module is in communication and/or electrical connection with the fault detection module;
the fault detection module is in communication and/or electrical connection with the fault repair module;
the monitoring feedback module is in communication and/or electrical connection with the fault detection module.
The working principle of the invention is as follows:
the fault vehicle sends a vehicle fault signal to the control platform; after receiving the vehicle fault signal, the control platform sends a fault detection signal to a fault analysis module; the fault analysis module receives the fault detection signal and generates a fault problem template to an intelligent terminal of a driver; a driver fills a fault problem template in the intelligent terminal, and the intelligent terminal sends the fault problem template to a fault analysis module; the fault analysis module receives the fault problem template and acquires a recommended detection device table according to the fault problem template and the vehicle fault detection model;
the fault detection module receives a recommended detection device table; acquiring actual parameters of all devices in a recommended detection device table; calling standard parameters of all devices in a recommended detection device table in a database; comparing the actual parameters with the standard parameters, and marking the devices with inconsistent comparison results to the faulty devices; detecting a fault device and acquiring a detection report; it is further noted that the detection report includes the reason for the failure of the device and the maintenance measures of the device; displaying the device with the fault of the automobile on a display screen; acquiring the failure reason of the device in the detection report, and storing the failure reason of the device in a database;
the fault maintenance module sends the detection report to an intelligent terminal of a maintenance worker; the maintenance personnel check and maintain the failed device according to the detection report; after maintenance is finished, the worker sends a maintenance finishing signal to the control platform through the intelligent terminal;
after the control platform receives the maintenance completion signal, the control platform sends a secondary detection signal to the fault detection module; the monitoring feedback module is connected with the fault detection module, and the fault detection module carries out secondary detection on the devices in the recommended detection device table again; the vehicle has no fault problem after secondary detection, which indicates that a maintenance process is finished, and the fault maintenance module sends a maintenance completion signal to the control center; and the control center receives the maintenance completion signal and the whole maintenance process is finished.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the scope of the present invention.

Claims (10)

1. The automobile electrical control system is characterized by comprising a control platform, and a fault analysis module, a fault detection module, a fault maintenance module, a monitoring feedback module and a database which are connected with the control platform; information interaction is carried out among all modules based on a data signal mode;
the fault analysis module is used for acquiring a recommended detection device table according to the fault problem template and the vehicle fault detection model; wherein the vehicle fault detection model is established based on an artificial intelligence model; the fault problem template comprises a fault problem description;
sending the recommended detection device table to the fault detection module;
the fault detection module is used for receiving the recommended detection device table, detecting devices according to the recommended detection device table and acquiring a detection report;
sending the detection report to the troubleshooting module;
the fault maintenance module is used for receiving the detection report and sending the detection report to an intelligent terminal of a maintenance worker;
the maintenance personnel maintain the fault parts of the automobile according to the analysis report;
and the monitoring feedback module is used for carrying out secondary detection on the failed component.
2. The automotive electrical control system of claim 1, wherein the fault analysis module obtains a recommended detection device table according to a fault problem template and a vehicle fault detection model, and the specific process comprises:
the fault vehicle sends a vehicle fault signal to the control platform;
after receiving the vehicle fault signal, the control platform sends a fault detection signal to the fault analysis module;
the fault analysis module receives the fault detection signal and generates a fault problem template to an intelligent terminal of a driver;
a driver fills a fault problem template in an intelligent terminal, and the intelligent terminal sends the fault problem template to the fault analysis module;
the fault analysis module receives the fault problem template and acquires a recommended detection device table according to the fault problem template and the vehicle fault detection model;
and the fault analysis module sends the recommended detection device table to the fault detection module.
3. The automotive electrical control system of claim 2, wherein the smart terminal comprises a smart phone and a computer.
4. The automotive electrical control system according to claim 3, wherein the fault detection module receives the recommended detection device table, detects a device according to the recommended detection device table, and obtains a detection report, and the specific process includes:
the fault detection module receives the recommended detection device table;
acquiring actual parameters of all devices in a recommended detection device table;
calling standard parameters of all devices in the recommended detection device table in the database;
comparing the actual parameters with the standard parameters, and marking the devices with inconsistent comparison results to the faulty devices;
detecting the fault device to obtain a detection report;
displaying the device with the fault of the automobile on a display screen;
and acquiring the failure reason of the device in the detection report, and storing the failure reason of the device in a database.
5. The automotive electrical control system of claim 4, wherein the analytical report includes a cause of device failure and a device repair measure.
6. The automotive electrical control system of claim 5, wherein the fault maintenance module receives the detection report and sends the detection report to an intelligent terminal of a maintenance person, and the maintenance person maintains the fault component of the automobile according to the analysis report, and the specific process includes:
the fault maintenance module sends the detection report to an intelligent terminal of a maintenance worker;
the maintenance personnel check and maintain the failed device according to the detection report;
and after the maintenance is finished, the worker sends a maintenance finishing signal to the control platform through the intelligent terminal.
7. The automotive electrical control system of claim 6, wherein the automotive detection model is established based on an artificial intelligence model, and the specific process comprises:
obtaining standard training data from a fault analysis module;
training the artificial intelligence model through standard training data, and marking the trained artificial intelligence model as an automobile detection model;
the standard training data comprises a plurality of groups of input data and corresponding analysis reports, and the content attributes of the input data and the original data are consistent.
8. The automotive electrical control system of claim 7, wherein the monitoring feedback module performs secondary detection on the failed component, and the specific process includes:
after the control platform receives a maintenance completion signal, the control platform sends a secondary detection signal to the fault detection module;
the monitoring feedback module is connected with the fault detection module, and the fault detection module carries out secondary detection on the devices in the recommended detection device table again;
the vehicle has no fault problem after secondary detection, which indicates that a maintenance process is finished, and the fault maintenance module sends a maintenance completion signal to the control center.
9. The automotive electrical control system according to claim 8,
the fault analysis module is in communication and/or electrical connection with the fault detection module;
the fault detection module is in communication and/or electrical connection with the fault maintenance module;
the monitoring feedback module is in communication and/or electrical connection with the fault detection module.
10. The automobile electrical control method is characterized by comprising the following steps:
the method comprises the following steps: acquiring a recommended detection device table according to the fault problem template and the vehicle fault detection model; sending the recommended detection device table to a fault detection module;
step two: the fault detection module receives the recommended detection device table, detects the device according to the recommended detection device table and obtains a detection report; sending the detection report to a fault maintenance module;
step three: the fault maintenance module receives the detection report and sends the detection report to an intelligent terminal of a maintenance worker; the maintenance personnel maintain the fault parts of the automobile according to the analysis report;
step four: and the monitoring feedback module carries out secondary detection on the failed component.
CN202211099540.0A 2022-09-09 2022-09-09 Automobile electrical control system and control method thereof Pending CN115268416A (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103105846A (en) * 2011-11-14 2013-05-15 通用汽车有限责任公司 Repair assist system for vehicle servicing
US20140279169A1 (en) * 2013-03-15 2014-09-18 Toyota Motor Sales, U.S.A., Inc. Method for generating vehicle repair estimate reports based on predictive estimating
CN104950886A (en) * 2015-06-15 2015-09-30 合肥工业大学 Working platform for intelligently maintaining AGV (Automatic Guided Vehicle)
CN106327344A (en) * 2016-08-28 2017-01-11 华南理工大学 Vehicle fault online detection and early warning device based on internet of vehicles and vehicle fault online detection and early warning method thereof
CN106713397A (en) * 2015-11-17 2017-05-24 北京爱德盛业科技有限公司 Vehicle owner vehicle self-check method based on intelligent mobile phone platform
CN106840714A (en) * 2016-12-21 2017-06-13 吴中区穹窿山倪源交通器材经营部 A kind of intelligent failure diagnosis method for high ferro
CN110927429A (en) * 2019-11-20 2020-03-27 兴机电器有限公司 Intelligent analysis and guidance method and system for data of electric chassis
WO2022166407A1 (en) * 2021-02-05 2022-08-11 深圳市道通科技股份有限公司 Vehicle breakdown prompt information acquiring method and apparatus, and storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103105846A (en) * 2011-11-14 2013-05-15 通用汽车有限责任公司 Repair assist system for vehicle servicing
US20140279169A1 (en) * 2013-03-15 2014-09-18 Toyota Motor Sales, U.S.A., Inc. Method for generating vehicle repair estimate reports based on predictive estimating
CN104950886A (en) * 2015-06-15 2015-09-30 合肥工业大学 Working platform for intelligently maintaining AGV (Automatic Guided Vehicle)
CN106713397A (en) * 2015-11-17 2017-05-24 北京爱德盛业科技有限公司 Vehicle owner vehicle self-check method based on intelligent mobile phone platform
CN106327344A (en) * 2016-08-28 2017-01-11 华南理工大学 Vehicle fault online detection and early warning device based on internet of vehicles and vehicle fault online detection and early warning method thereof
CN106840714A (en) * 2016-12-21 2017-06-13 吴中区穹窿山倪源交通器材经营部 A kind of intelligent failure diagnosis method for high ferro
CN110927429A (en) * 2019-11-20 2020-03-27 兴机电器有限公司 Intelligent analysis and guidance method and system for data of electric chassis
WO2022166407A1 (en) * 2021-02-05 2022-08-11 深圳市道通科技股份有限公司 Vehicle breakdown prompt information acquiring method and apparatus, and storage medium

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Application publication date: 20221101