CN114237193A - Method and system for diagnosing vehicle abnormity based on high-dimensional data - Google Patents
Method and system for diagnosing vehicle abnormity based on high-dimensional data Download PDFInfo
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- CN114237193A CN114237193A CN202111262961.6A CN202111262961A CN114237193A CN 114237193 A CN114237193 A CN 114237193A CN 202111262961 A CN202111262961 A CN 202111262961A CN 114237193 A CN114237193 A CN 114237193A
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- 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
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Abstract
The invention discloses a method and a system for diagnosing vehicle abnormity based on high-dimensional data, relating to the field of vehicle diagnosis systems. According to the invention, through the application of the vehicle abnormity diagnosis system, the diagnosis work of vehicle faults becomes digital and intelligent, the traditional manual fault elimination can be completely replaced, and the working efficiency is greatly improved; by applying the vehicle abnormity diagnosis system, the vehicle fault diagnosis level is greatly enhanced, the safety performance of the vehicle during running is obviously improved, and the vehicle fault diagnosis cost is reduced to a certain extent; and the static and dynamic information of all working conditions of the vehicle is acquired, stored and sent in real time through the vehicle-mounted terminal system equipment, real-time fault detection can be carried out in the running state of the vehicle, early discovery and early processing of vehicle faults are realized, and therefore the safety performance of the vehicle during running is improved.
Description
Technical Field
The invention relates to the technical field of vehicle diagnosis systems, in particular to a method and a system for diagnosing vehicle abnormity based on high-dimensional data.
Background
Since the birth of the last century, the first three-wheeled automobile from Carbenz was able to travel at 18 km/h to the present, and a super sports car was created which took a little more than three seconds to accelerate from zero speed to 100 km/h, and the speed of automobile development was so astonishing in one hundred! Meanwhile, the automobile industry also creates a plurality of giant people; with the development of science and technology and the progress of times, automobiles become indispensable transportation means in life at present, but in the current society, the speed is higher than the primary goal pursued by people, the safety of the automobiles is gradually changed into the problem which is most urgently concerned by users, and the safety is the most basic requirement of people for going out;
with the development of the automobile industry, the quantity of automobiles owned is more and more, modern electronic control technology has penetrated into each component of the automobile, the structure of the automobile becomes more and more complex, and the automation degree is higher and more, wherein, the fault diagnosis function is an important function in the technical field of vehicle safety, in the existing automobile fault diagnosis technology, only a single function can be realized, the state of the automobile cannot be monitored in real time, and the fault diagnosis can be carried out only when a driver of the automobile actively carries out fault detection; meanwhile, the diagnostic information cannot be alarmed in time, and the information cannot be remotely transmitted to a remote terminal to be checked in time and read.
Disclosure of Invention
The invention aims to solve the problems that the state of a vehicle cannot be monitored in real time in the prior art, and the fault diagnosis can be carried out only when a vehicle driver actively carries out fault detection; the diagnostic information can not be alarmed in time, and the information can not be remotely transmitted to a remote terminal for timely checking and data reading; the method and the system for diagnosing the vehicle abnormity based on the high-dimensional data are provided.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for diagnosing vehicle anomalies based on high dimensional data, comprising the steps of:
acquiring health data of a vehicle in an initial state through a data acquisition module, and importing the initial health data into a fault diagnosis platform for storage;
the method comprises the steps that real-time vehicle operation data are collected through a vehicle-mounted terminal system, processed and stored by a cloud processing platform and sent to a fault diagnosis platform;
processing and analyzing the initial health data and the real-time operation data through a fault diagnosis platform, reporting the results through a data analysis module, and transmitting the results to a diagnosis terminal;
the diagnosis terminal can display and transmit the report type diagnosis data in a network way, so that a user can conveniently check the report type diagnosis data.
Preferably, the specific steps of step 1 are as follows: the health data in the initial state of the vehicle can be collected in advance through the data collection module and used as original reference data in the subsequent diagnosis process.
Preferably, the specific steps of step 2 are as follows: the vehicle-mounted terminal system can acquire the running data of each system of the vehicle in real time, the acquired real-time running data is transmitted to the cloud processing platform through the wireless transmitting function, the cloud processing platform processes vehicle information, the data is filtered and cleaned, and the data is stored and then transmitted to the fault diagnosis platform.
Preferably, the specific steps of step 3 are as follows: after the fault diagnosis platform receives the real-time operation data, whether the real-time operation data is deviated from the original health data or not is detected through the fault diagnosis platform, if the real-time operation data is deviated, whether the deviation amount of the real-time operation data exceeds a threshold value or not is detected again, whether the vehicle is in an abnormal state or not is judged, and a final diagnosis result is made into report type data through a data analysis module and is transmitted to a diagnosis terminal.
Preferably, the specific steps of step 4 are as follows: the diagnosis terminal displays and transmits the report type diagnosis data in a networking way, the report type diagnosis data is firstly transmitted to a mobile phone or a computer terminal of a user for the user to check, the user can process the vehicle according to system prompts, and after the diagnosis data is uploaded in a networking way, the diagnosis terminal is also lapped with other vehicle owners or vehicle maintenance experts to form a network interaction platform, so that the vehicle fault judgment and maintenance are facilitated.
The system for diagnosing the vehicle abnormity based on the high-dimensional data comprises a vehicle-mounted terminal system and an abnormity diagnosis system;
the vehicle-mounted terminal system comprises a data acquisition module, a sensor, a data acquisition unit and a wireless transmitter;
the data acquisition module is used for acquiring data of the initial health state of the vehicle; the sensor is used for sensing information of each part of the vehicle state construction unit; the data acquisition unit is used for acquiring real-time running data of the vehicle; the wireless transmitter is used for wirelessly transmitting data;
preferably, the abnormality diagnosis system comprises a cloud processing platform, a fault diagnosis platform and a diagnosis terminal;
the cloud processing platform is used for filtering, cleaning and storing the real-time running data of the vehicle.
Preferably, the fault diagnosis platform comprises a health data storage module, a real-time data receiving module, a fault diagnosis module and a data analysis module;
the health data storage module is used for storing the vehicle initial health data transmitted by the data acquisition module; the real-time data receiving module is used for receiving vehicle real-time operation data transmitted by the cloud processing platform; the fault diagnosis module is used for analyzing and processing initial health data and real-time operation data of the vehicle so as to judge whether the vehicle has an abnormal operation state, and the data analysis module is used for performing report type processing on a diagnosis result and transmitting the diagnosis result to the diagnosis terminal for a user to check.
Preferably, the diagnosis terminal comprises a data display platform, a remote indication module and a networking module;
the data display platform is used for displaying data information transmitted on the data analysis platform, the networking module is used for carrying out remote communication among a plurality of users, and the remote indication module is used for seeking remote guidance of professionals when equipment breaks down.
Compared with the prior art, the invention has the beneficial effects that:
1. by applying the vehicle abnormity diagnosis system, the vehicle fault diagnosis work is digitalized and intelligentized, the traditional manual fault removal can be completely replaced, and the work efficiency is greatly improved; by applying the vehicle abnormity diagnosis system, the vehicle fault diagnosis level is greatly enhanced, the self health of the vehicle is effectively improved, the safety performance of the vehicle during running is obviously improved, and the cost of vehicle fault diagnosis is reduced to a certain extent.
2. The invention utilizes the mature vehicle-mounted terminal system, installs the vehicle-mounted terminal system equipment on the vehicle instrument desk, organically combines related hardware together through the application of related software to form a set of intelligent data acquisition system, realizes the real-time acquisition, storage and transmission of all static and dynamic information of the vehicle under all working conditions, can carry out real-time fault detection under the vehicle running state, realizes the early discovery and early processing of vehicle faults, and further improves the safety performance of the vehicle during running.
3. According to the invention, through the process screening of the real-time diagnosis data, whether the vehicle is in an abnormal state can be accurately judged, and a large amount of vehicle real-time operation data acquired by the vehicle-mounted terminal system is processed through the cloud processing platform.
4. The invention realizes the dynamic management of the diagnosis data, and the abnormal diagnosis data is uploaded in a network and is lapped with other vehicle owners and vehicle maintenance experts to form a network interactive platform, so that the maintenance experts can solve the vehicle problems proposed by each vehicle owner on the network interactive platform, provide a corresponding maintenance scheme, and store the records in the network interactive platform, and other vehicle owners can search the records, thereby being more beneficial to the judgment of the vehicle fault by the vehicle owner and being convenient for the subsequent maintenance of the vehicle; meanwhile, the abnormity diagnosis system can realize remote real-time data monitoring, and the fault diagnosis system records and uploads the detected data to the diagnosis terminal in real time, so that the expenditure of manual troubleshooting cost is saved.
Drawings
FIG. 1 is a diagram of the steps of a method for diagnosing vehicle anomalies based on high dimensional data according to the present invention;
FIG. 2 is a flow chart of a method for diagnosing vehicle anomalies based on high dimensional data in accordance with the present invention;
FIG. 3 is a network platform framework diagram of a method for diagnosing vehicle anomalies based on high-dimensional data according to the present invention;
FIG. 4 is a search frame diagram of a network platform for a method for diagnosing vehicle anomalies based on high-dimensional data according to the present invention;
FIG. 5 is a block diagram of a system for diagnosing vehicle anomalies based on high dimensional data in accordance with 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.
Referring to fig. 1, 2, 3 and 4, a method for diagnosing an abnormality of a vehicle based on high-dimensional data includes the steps of:
the health data in the initial state of the vehicle can be collected in advance through a data collection module and used as original reference data in the subsequent diagnosis process;
the vehicle-mounted terminal system can acquire the running data of each system of the vehicle in real time, the acquired real-time running data is transmitted to the cloud processing platform through a wireless transmission function, the cloud processing platform processes vehicle information, the data is filtered and cleaned, and the data is stored and then transmitted to the fault diagnosis platform;
after the fault diagnosis platform receives the real-time operation data, whether the real-time operation data is deviated from the original health data or not is detected through the fault diagnosis platform, if the real-time operation data is deviated, whether the deviation amount of the real-time operation data exceeds a threshold value or not is detected again, whether the vehicle is in an abnormal state or not is judged, and a final diagnosis result is made into report type data through a data analysis module and is transmitted to a diagnosis terminal;
the diagnosis terminal displays and transmits the report type diagnosis data in a network mode, the report type diagnosis data is transmitted to a mobile phone or a computer terminal of a user for the user to check, the user can process the vehicle according to system prompts, meanwhile, the abnormal diagnosis data is uploaded in the network mode and is connected with other vehicle owners and vehicle maintenance experts in a lap joint mode to form a network interaction platform, the maintenance experts can answer vehicle problems provided by all vehicle owners on the network interaction platform, corresponding maintenance schemes are provided, the records are stored in the network interaction platform, and the other vehicle owners can search the network interaction platform, so that the vehicle owner can judge the faults of the vehicle, and the vehicle can be maintained subsequently.
Referring to fig. 5, a system for diagnosing vehicle abnormality based on high dimensional data includes a vehicle-mounted terminal system and an abnormality diagnosis system;
the vehicle-mounted terminal system comprises a data acquisition module, a sensor, a data acquisition unit and a wireless transmitter;
the data acquisition module is used for acquiring data of the initial health state of the vehicle; the sensor is used for sensing information of each part of the vehicle state construction unit; the data acquisition unit is used for acquiring real-time running data of the vehicle; the wireless transmitter is used for wirelessly transmitting data,
Referring to fig. 5, the abnormality diagnosis system includes a cloud processing platform, a fault diagnosis platform, and a diagnosis terminal;
the cloud processing platform is used for filtering, cleaning and storing the real-time running data of the vehicle.
Referring to fig. 5, the fault diagnosis platform includes a health data storage module, a real-time data receiving module, a fault diagnosis module, and a data analysis module;
the health data storage module is used for storing the vehicle initial health data transmitted by the data acquisition module; the real-time data receiving module is used for receiving vehicle real-time operation data transmitted by the cloud processing platform; the fault diagnosis module is used for analyzing and processing initial health data and real-time operation data of the vehicle so as to judge whether the vehicle has an abnormal operation state or not, and the data analysis module is used for performing report type processing on a diagnosis result and transmitting the diagnosis result to the diagnosis terminal for a user to check.
Referring to fig. 5, wherein the diagnosis terminal includes a data display platform, a remote indication module and a networking module;
the data display platform is used for displaying data information transmitted on the data analysis platform, the networking module is used for carrying out remote communication among a plurality of users, and the remote indication module is used for seeking remote guidance of professionals when equipment breaks down.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. A method for diagnosing vehicle abnormality based on high-dimensional data, characterized by comprising the steps of:
acquiring health data of a vehicle in an initial state through a data acquisition module, and importing the initial health data into a fault diagnosis platform for storage;
the method comprises the steps that real-time vehicle operation data are collected through a vehicle-mounted terminal system, processed and stored by a cloud processing platform and sent to a fault diagnosis platform;
processing and analyzing the initial health data and the real-time operation data through a fault diagnosis platform, reporting the results through a data analysis module, and transmitting the results to a diagnosis terminal;
the diagnosis terminal can display and transmit the report type diagnosis data in a network way, so that a user can conveniently check the report type diagnosis data.
2. The method and system for diagnosing the vehicle abnormality based on the high-dimensional data according to claim 1, wherein the specific steps of step 1 are as follows: the health data in the initial state of the vehicle can be collected in advance through the data collection module and used as original reference data in the subsequent diagnosis process.
3. The method for diagnosing the abnormality of the vehicle based on the high-dimensional data as set forth in claim 1, wherein the step 2 is embodied as follows: the vehicle-mounted terminal system can acquire the running data of each system of the vehicle in real time, the acquired real-time running data is transmitted to the cloud processing platform through the wireless transmitting function, the cloud processing platform processes vehicle information, the data is filtered and cleaned, and the data is stored and then transmitted to the fault diagnosis platform.
4. The method for diagnosing the abnormality of the vehicle based on the high-dimensional data as set forth in claim 1, wherein the step 3 is embodied as follows: after the fault diagnosis platform receives the real-time operation data, whether the real-time operation data is deviated from the original health data or not is detected through the fault diagnosis platform, if the real-time operation data is deviated, whether the deviation amount of the real-time operation data exceeds a threshold value or not is detected again, whether the vehicle is in an abnormal state or not is judged, and a final diagnosis result is made into report type data through a data analysis module and is transmitted to a diagnosis terminal.
5. The method for diagnosing the vehicle abnormality based on the high-dimensional data according to claim 1, wherein the specific steps of the step 4 are as follows: the diagnosis terminal displays and transmits the report type diagnosis data in a networking way, the report type diagnosis data is firstly transmitted to a mobile phone or a computer terminal of a user for the user to check, the user can process the vehicle according to system prompts, and after the diagnosis data is uploaded in a networking way, the diagnosis terminal is also lapped with other vehicle owners or vehicle maintenance experts to form a network interaction platform, so that the vehicle fault judgment and maintenance are facilitated.
6. A system for diagnosing vehicle abnormity based on high-dimensional data is characterized by comprising a vehicle-mounted terminal system and an abnormity diagnosis system;
the vehicle-mounted terminal system comprises a data acquisition module, a sensor, a data acquisition unit and a wireless transmitter;
the data acquisition module is used for acquiring data of the initial health state of the vehicle; the sensor is used for sensing information of each part of the vehicle state construction unit; the data acquisition unit is used for acquiring real-time running data of the vehicle; the wireless transmitter is used for transmitting data wirelessly.
7. The system for diagnosing the vehicle abnormality based on the high-dimensional data according to claim 6, wherein the abnormality diagnosing system includes a cloud processing platform, a fault diagnosing platform, a diagnosing terminal;
the cloud processing platform is used for filtering, cleaning and storing the real-time running data of the vehicle.
8. The system for diagnosing vehicle abnormality based on high-dimensional data according to claim 7, wherein the fault diagnosis platform includes a health data storage module, a real-time data receiving module, a fault diagnosis module, a data analysis module;
the health data storage module is used for storing the vehicle initial health data transmitted by the data acquisition module; the real-time data receiving module is used for receiving vehicle real-time operation data transmitted by the cloud processing platform; the fault diagnosis module is used for analyzing and processing initial health data and real-time operation data of the vehicle so as to judge whether the vehicle has an abnormal operation state, and the data analysis module is used for performing report type processing on a diagnosis result and transmitting the diagnosis result to the diagnosis terminal for a user to check.
9. The system for diagnosing the abnormality of the vehicle based on the high-dimensional data as claimed in claim 7, wherein the diagnosis terminal includes a data display platform, a remote indication module and a networking module;
the data display platform is used for displaying data information transmitted on the data analysis platform, the networking module is used for carrying out remote communication among a plurality of users, and the remote indication module is used for seeking remote guidance of professionals when equipment breaks down.
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