CN108803581B - Fault remote diagnosis method based on expert template - Google Patents
Fault remote diagnosis method based on expert template Download PDFInfo
- Publication number
- CN108803581B CN108803581B CN201810939857.8A CN201810939857A CN108803581B CN 108803581 B CN108803581 B CN 108803581B CN 201810939857 A CN201810939857 A CN 201810939857A CN 108803581 B CN108803581 B CN 108803581B
- Authority
- CN
- China
- Prior art keywords
- monitoring
- terminal
- vehicle
- diagnosis
- parameter list
- 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.)
- Active
Links
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
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
-
- 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
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
Landscapes
- 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 a fault remote diagnosis method based on an expert template, which comprises the following steps: the first terminal sends a monitoring starting instruction to the server according to the set monitoring parameter list, so that the server forwards the monitoring starting instruction to the second terminal; the second terminal analyzes the monitoring starting instruction to obtain a monitoring parameter list, and controls the diagnosis box to monitor the running state of the vehicle according to the monitoring parameter list so as to obtain monitoring data; the second terminal generates a monitoring result according to the monitoring data and feeds the monitoring result back to the first terminal; the first terminal displays the monitoring result. Compared with the traditional diagnosis and maintenance aiming at the vehicle fault code, the scheme of the invention realizes the targeted diagnosis of the vehicle, enables the expert to provide the maintenance suggestion after the vehicle diagnosis in real time through the first terminal, and improves the accuracy and effectiveness of the vehicle diagnosis and the vehicle maintenance.
Description
Technical Field
The invention relates to the technical field of vehicle maintenance, in particular to a fault remote diagnosis method based on an expert template.
Background
In the remote diagnosis of the vehicle, the existing diagnosis method generally sends a diagnosis request message to the electronic system of the vehicle to be diagnosed, and obtains data of a diagnosis report and sends the data to a client. However, this diagnostic method only addresses the cause of the failure of the vehicle and does not provide a maintenance method.
The prior art provides diagnosis and maintenance aiming at vehicle fault codes, but the actual maintenance process is very complex, and other parameters including the state of the operation process and the like need to be judged to carry out fault diagnosis and maintenance on the vehicle in a targeted manner, which cannot be provided by the prior art.
Disclosure of Invention
The embodiment of the invention provides an expert template-based fault remote diagnosis method, which can realize targeted diagnosis of a vehicle, provide corresponding maintenance suggestions in real time according to a diagnosis result and improve the accuracy and effectiveness of vehicle diagnosis and vehicle maintenance.
The embodiment of the invention provides a fault remote diagnosis method based on an expert template, which comprises the following steps:
the method comprises the steps that a first terminal sends a monitoring starting instruction to a server according to a set monitoring parameter list, so that the server forwards the monitoring starting instruction to a second terminal;
the second terminal analyzes the monitoring starting instruction to obtain the monitoring parameter list, and controls the diagnosis box to monitor the running state of the vehicle according to the monitoring parameter list so as to obtain monitoring data;
the second terminal generates a monitoring result according to the monitoring data and feeds the monitoring result back to the first terminal;
and the first terminal displays the monitoring result.
Further, the set monitoring parameter list is stored in the first terminal in a mode of a parameter template; the parameter list comprises a series of parameters related to the running state of the vehicle, and the first terminal and the second terminal are both intelligent terminals.
Further, each monitoring parameter list only contains one combination of series parameters related to the running state of the vehicle; the first terminal stores a plurality of set detection parameter lists, namely a plurality of parameter templates.
Further, according to the monitoring parameter list, the diagnostic box is controlled to monitor the running state of the vehicle to obtain monitoring data, specifically:
the second terminal generates a first message instruction according to the monitoring parameter list and sends the first message instruction to the diagnosis box;
the diagnosis box converts the first message instruction into a second message instruction and sends the second message instruction to a vehicle ECU;
the vehicle ECU monitors the running state of the vehicle according to the second message instruction so as to read monitoring data and feed the monitoring data back to the diagnosis box;
and the diagnosis box forwards the monitoring data to the second terminal.
Further, the monitoring result includes a normal detail result of the monitoring data and an abnormal detail result of the monitoring data.
Further, the feeding back the monitoring result to the first terminal specifically includes:
and the second terminal uploads the monitoring result to the server so that the server stores the monitoring result and forwards the monitoring result to the first terminal.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a fault remote diagnosis method based on an expert template, which comprises the following steps: the first terminal sends a monitoring starting instruction to the server according to the set monitoring parameter list, so that the server forwards the monitoring starting instruction to the second terminal; the second terminal controls the diagnosis box to monitor the vehicle through the monitoring parameter list, returns the monitoring data to the first terminal through the server after acquiring the monitoring data, and displays the monitoring data through the first terminal. Compared with the traditional diagnosis and maintenance aiming at the vehicle fault code, the scheme of the invention realizes the targeted diagnosis of the vehicle, enables the expert to provide the maintenance suggestion after the vehicle diagnosis in real time through the first terminal, and improves the accuracy and effectiveness of the vehicle diagnosis and the vehicle maintenance.
Drawings
Fig. 1 is a schematic flow chart of an embodiment of the fault remote diagnosis method based on the expert template provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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.
Referring to fig. 1, which is a schematic flowchart illustrating an embodiment of the expert template-based fault remote diagnosis method provided in the present invention, as shown in fig. 1, the diagnosis method includes steps S11 to S14. The method comprises the following steps:
and S11, the first terminal sends a monitoring starting instruction to the server according to the set monitoring parameter list, so that the server forwards the monitoring starting instruction to the second terminal.
It should be noted that the monitoring parameter list is stored in the first terminal in the form of a parameter template. Wherein the parameter list contains a series of parameters relating to the operating state of the vehicle.
And S12, the second terminal analyzes the monitoring starting instruction to obtain the monitoring parameter list, and controls the diagnosis box to monitor the running state of the vehicle according to the monitoring parameter list so as to obtain monitoring data.
And S13, the second terminal generates a monitoring result according to the monitoring data and feeds the monitoring result back to the first terminal.
And S14, the first terminal displays the monitoring result.
Specifically for S11, each monitored parameter list contains only one combination of the series of parameters related to the running state of the vehicle. The first terminal stores a plurality of set monitoring parameter lists, namely a plurality of parameter templates.
In this embodiment, the first terminal stores a monitoring parameter template for fault code diagnosis, and a monitoring parameter list is formed by monitoring parameter options of the monitoring parameter template for fault code diagnosis, such as an oil injection quantity parameter, an intake pressure parameter, a storage battery voltage parameter, atmospheric pressure, and a common rail pressure sensor output voltage parameter, and a fault code reading instruction is generated according to the monitoring parameter list.
Further, after sending the monitoring start command to the server, the first terminal enters an information receiving state and waits for receiving the related data returned from the server. And after receiving the monitoring starting instruction, the server records the monitoring starting instruction and sends the monitoring starting instruction to the second terminal.
In this embodiment, the first terminal generates a fault code reading instruction according to the monitoring parameter list, and sends the fault code reading instruction to the server, so that the server receives the fault code reading instruction sent by the first terminal, records the fault code reading instruction, and then forwards the fault code reading instruction to the second terminal.
For S12, specifically, the second terminal parses the received start monitoring instruction to obtain a corresponding monitoring parameter list, generates a first message instruction according to the monitoring parameter list, and sends the first message instruction to the diagnostic box. The diagnosis box converts the first message instruction into a second message instruction and sends the second message instruction to the vehicle ECU, and the vehicle ECU detects the running state of the vehicle according to the second message instruction, reads the monitoring data and feeds the monitoring data back to the diagnosis box. And the diagnostic box forwards the obtained monitoring data to the second terminal.
In this embodiment, the second terminal analyzes the received fault code reading instruction to obtain a corresponding fault code monitoring parameter list, generates a first fault code message instruction according to the fault code monitoring parameter list, and sends the first fault code message instruction to the diagnostic box. And the diagnosis box converts the first fault code message instruction into a second fault code message instruction, and sends the second fault code message instruction to the vehicle ECU. And the vehicle ECU carries out fault monitoring according to the second fault code message instruction, reads a fault code corresponding to the vehicle fault, and feeds the fault code back to the diagnosis box. And after the fault code reading is completed, the diagnostic box returns the obtained fault code to the second terminal.
As an example of this embodiment, the monitoring parameter list includes a plurality of monitoring data such as an oil injection quantity parameter, an intake pressure parameter, a battery voltage parameter, an atmospheric pressure, and a common rail pressure sensor output voltage parameter. And the diagnostic box monitors the vehicle according to the monitoring data, and if the monitoring data monitors that the vehicle has a corresponding fault, the diagnostic box reads a fault code corresponding to the fault from the ECU. For example, if the fuel injection quantity parameter monitors that the fuel injection quantity of the vehicle is abnormal, a fault point causing the fuel injection quantity abnormality is obtained, and a corresponding fault code of the fault point is read.
Specifically for S13, the monitoring result includes a monitoring data normal detail result and a monitoring data abnormal detail result.
And if the monitoring data is not abnormal, the second terminal prompts that the monitoring data is normal through a display interface. And if the monitoring data are abnormal, the second terminal displays the abnormal monitoring data through a display interface.
And after the second terminal obtains the monitoring data, uploading the monitoring data to the server, and after the server records the monitoring data, feeding the monitoring data back to the first terminal.
In this embodiment, the normal detail result and the abnormal detail result of the monitoring data are represented by the fault code.
When the second terminal judges that the diagnosis box does not read the fault code from the ECU, the absence of the fault code is prompted through the display interface, and therefore the monitored data are normal. And when the second terminal judges that the diagnostic box reads the fault code from the ECU, displaying the fault code through the display interface, thereby indicating that the monitored data is abnormal. And after the second terminal finishes the fault code reading judgment, the monitoring data are sent to the server, and the server stores the monitoring data and feeds the monitoring data back to the first terminal.
It should be noted that the first terminal and the second terminal are intelligent terminals.
As can be seen from the above, the fault remote diagnosis method based on the expert template provided in the embodiment of the present invention includes: the first terminal sends a monitoring starting instruction to the server according to the set monitoring parameter list, so that the server forwards the monitoring starting instruction to the second terminal; the second terminal controls the diagnosis box to monitor the vehicle through the monitoring parameter list, returns the monitoring data to the first terminal through the server after acquiring the monitoring data, and displays the monitoring data through the first terminal. Compared with the traditional diagnosis and maintenance aiming at the vehicle fault code, the scheme of the invention realizes the targeted diagnosis of the vehicle, enables the expert to provide the maintenance suggestion after the vehicle diagnosis in real time through the first terminal, and improves the accuracy and effectiveness of the vehicle diagnosis and the vehicle maintenance.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (4)
1. An expert template-based fault remote diagnosis method, which is suitable for being executed in a computing device, is characterized by at least comprising the following steps:
the method comprises the steps that a first terminal sends a monitoring starting instruction to a server according to a set monitoring parameter list, so that the server forwards the monitoring starting instruction to a second terminal; the first terminal further generates a fault code reading instruction according to the monitoring parameter list, and sends the fault code reading instruction to the server, so that the server receives the fault code reading instruction sent by the first terminal, records the fault code reading instruction, and forwards the fault code reading instruction to the second terminal;
the set monitoring parameter list is stored in the first terminal in a mode of a parameter template; the parameter list comprises a series of parameters related to the running state of the vehicle, and the first terminal and the second terminal are both intelligent terminals; each monitoring parameter list only contains one combination of series parameters related to the running state of the vehicle; the first terminal stores a plurality of set monitoring parameter lists, namely a plurality of parameter templates; specifically, the first terminal stores a monitoring parameter template for fault code diagnosis, forms a monitoring parameter list through monitoring parameter options of the monitoring parameter template for fault code diagnosis, and generates a fault code reading instruction according to the monitoring parameter list;
the second terminal analyzes the monitoring starting instruction to obtain the monitoring parameter list, and controls the diagnosis box to monitor the running state of the vehicle according to the monitoring parameter list so as to obtain monitoring data; specifically, the diagnostic box monitors the vehicle according to the monitoring data, and if the monitoring data monitors that the vehicle has a corresponding fault, a fault code corresponding to the fault is read from the ECU;
the second terminal generates a monitoring result according to the monitoring data and feeds the monitoring result back to the first terminal;
and the first terminal displays the monitoring result.
2. The expert template-based fault remote diagnosis method according to claim 1, wherein the diagnostic box is controlled to monitor the running state of the vehicle according to the monitoring parameter list to obtain monitoring data, specifically:
the second terminal generates a first message instruction according to the monitoring parameter list and sends the first message instruction to the diagnosis box;
the diagnosis box converts the first message instruction into a second message instruction and sends the second message instruction to a vehicle ECU;
the vehicle ECU monitors the running state of the vehicle according to the second message instruction so as to read monitoring data and feed the monitoring data back to the diagnosis box;
and the diagnosis box forwards the monitoring data to the second terminal.
3. The expert template based fault remote diagnosis method as claimed in claim 1, wherein the monitoring results include monitoring data normal detail results and monitoring data abnormal detail results.
4. The expert template-based fault remote diagnosis method according to claim 1, wherein the monitoring result is fed back to the first terminal, specifically:
and the second terminal uploads the monitoring result to the server so that the server stores the monitoring result and forwards the monitoring result to the first terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810939857.8A CN108803581B (en) | 2018-08-17 | 2018-08-17 | Fault remote diagnosis method based on expert template |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810939857.8A CN108803581B (en) | 2018-08-17 | 2018-08-17 | Fault remote diagnosis method based on expert template |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108803581A CN108803581A (en) | 2018-11-13 |
| CN108803581B true CN108803581B (en) | 2021-01-12 |
Family
ID=64080329
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810939857.8A Active CN108803581B (en) | 2018-08-17 | 2018-08-17 | Fault remote diagnosis method based on expert template |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108803581B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109993850A (en) * | 2019-03-29 | 2019-07-09 | 深圳市元征科技股份有限公司 | A kind of Vehicular diagnostic method, car owner's terminal and block chain node device |
| WO2022113155A1 (en) * | 2020-11-24 | 2022-06-02 | 三菱電機株式会社 | Vehicular onboard control system |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN200986497Y (en) * | 2006-09-20 | 2007-12-05 | 烟台麦特电子有限公司 | GPRS based vehicle remote failure diagnosis apparatus |
| CN102830690B (en) * | 2012-05-04 | 2014-07-30 | 王蓉 | Data processing system of automobile fault data |
| CN202795035U (en) * | 2012-05-04 | 2013-03-13 | 王蓉 | Vehicle fault monitoring system |
| CN103455025B (en) * | 2013-08-15 | 2017-09-19 | 重庆邮电大学 | A kind of vehicle fault diagnosis system based on Android platform |
| US10121292B2 (en) * | 2015-06-30 | 2018-11-06 | Kenneth Carl Steffen Winiecki | Automotive predictive failure system |
| CN206363155U (en) * | 2016-12-23 | 2017-07-28 | 北京一雄信息科技有限公司 | Vehicle failure remote diagnosis system |
-
2018
- 2018-08-17 CN CN201810939857.8A patent/CN108803581B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN108803581A (en) | 2018-11-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11800332B2 (en) | System and method for managing a fleet of vehicles including electric vehicles | |
| CN108563214B (en) | Vehicle diagnosis method, device and equipment | |
| US20200302710A1 (en) | Automobile trouble diagnosis method, automobile trouble diagnosis apparatus, and electronic device | |
| EP2803048B1 (en) | System and method for providing diagnostic fault information | |
| US20120310474A1 (en) | Data recorder | |
| CN113586239B (en) | Engine fault diagnosis method, engine fault diagnosis device, controller and storage medium | |
| CN112230621A (en) | Intelligent diagnosis system and method based on OBD | |
| CN108803581B (en) | Fault remote diagnosis method based on expert template | |
| CN108919776A (en) | A kind of assessment of failure method and terminal | |
| US10102690B2 (en) | Non-starting engine remote diagnostic | |
| CN112747937A (en) | Vehicle start detection method, device, equipment and computer storage medium | |
| CN109116830B (en) | Method and system for predicting fault | |
| US20220311640A1 (en) | Systems and methods for data message decoding and asset type fingerprinting | |
| KR20200141239A (en) | System and method for providing vehicle diagnosis service | |
| KR20170087182A (en) | Apparatus and method for recognizing of vehicle condition | |
| US20200234513A1 (en) | Automatic fault isolation and diagnosis system using over-the-air technology | |
| EP2458564B1 (en) | Remote diagnosis of vehicles | |
| CN116560342A (en) | Vehicle fault diagnosis method and device | |
| CN113867314A (en) | Access control method and device for fault code library, electronic equipment and storage medium | |
| CN113269908A (en) | Whole vehicle data management device and method for electric vehicle | |
| CN112863008B (en) | Fault recording method and device, storage medium and computer equipment | |
| CN115755833B (en) | Method, system, electronic equipment and program product for cloud diagnosis of vehicle PHM based on historical data | |
| CN114384887B (en) | Emission diagnosis method and device and electronic equipment | |
| CN108140003B (en) | Method for diagnosing an electric actuator connected to a computer | |
| CN117090671A (en) | Rear oxygen sensor detection method, device, storage medium and vehicle |
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 | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A remote fault diagnosis method based on expert template Effective date of registration: 20220315 Granted publication date: 20210112 Pledgee: Shanghai Pudong Development Bank Limited by Share Ltd. Guangzhou branch Pledgor: GUANGZHOU RUIXIUDE INFORMATION TECHNOLOGY CO.,LTD. Registration number: Y2022980002580 |