CN114545903A - Vehicle feed remote monitoring and early warning system and method - Google Patents
Vehicle feed remote monitoring and early warning system and method Download PDFInfo
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- CN114545903A CN114545903A CN202210158406.7A CN202210158406A CN114545903A CN 114545903 A CN114545903 A CN 114545903A CN 202210158406 A CN202210158406 A CN 202210158406A CN 114545903 A CN114545903 A CN 114545903A
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- 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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses a vehicle feed remote monitoring and early warning system and a method, comprising a vehicle acquisition module: the vehicle acquisition module is installed on the automobile, and intelligent terminal: the intelligent terminal is a vehicle-mounted structure design and comprises a receiving module, a recording module, a transmission module and a local storage module, wherein the receiving module is used for receiving a message sent by a user, and the local storage module is used for storing the message: the local storage is used for storing the collected data and generating data messages, and the cloud platform: the cloud platform is connected with the intelligent terminal through the transmission module, and the user terminal comprises: and the user terminal is connected with the cloud platform through a mobile network. The vehicle feed remote monitoring and early warning system and method can monitor the working state of a vehicle after the vehicle is powered off, can record the position of a vehicle feed fault when the vehicle feed occurs, stores data locally, and prompts a user of the vehicle of the feed risk occurrence through the user terminal, so that the user can know the state of the vehicle in real time, the user experience is improved, and meanwhile, the service life of the vehicle can be prolonged.
Description
Technical Field
The invention relates to the technical field of automobile diagnosis, in particular to a vehicle feed remote monitoring and early warning system and a vehicle feed remote monitoring and early warning method.
Background
The automobile diagnosis refers to an inspection process for determining the technical condition of an automobile and finding out a fault part and a reason on the premise of not disassembling the automobile or disassembling individual parts, along with the development of the automobile technology, the number of electronic control units of the whole automobile is increasing day by day, when the automobile is in a static state, electric equipment of the whole automobile enters a low power consumption state after being in a dormant state, the dormancy awakening of most electronic control units is controlled by network management, and the continuously increased nodes of the electronic control units and data interaction make the vehicle-mounted network more complex, so that the static current of the automobile is challenged.
However, after the existing vehicle is parked and powered off, if a certain node is not dormant, all other nodes participating in network management are not dormant, so that the static power consumption of the vehicle is too large, and then the vehicle feeding is caused in a short time.
Disclosure of Invention
The invention aims to provide a vehicle feed remote monitoring and early warning system and a vehicle feed remote monitoring and early warning method, which have the advantages of reducing feed states, recording problem nodes and prompting a user so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a vehicle feed remote monitoring and early warning system and method comprises the following steps:
the vehicle acquisition module: the vehicle acquisition module is arranged on the automobile and is electrically connected with the automobile and used for acquiring the working information of an electronic control unit arranged in the automobile;
the intelligent terminal: the intelligent terminal is designed to be in a vehicle-mounted structure, and comprises a receiving module, a recording module and a transmission module, wherein the receiving module is electrically connected with the vehicle acquisition module, the receiving module transmits acquired data to the vehicle-mounted terminal, and the recording module records the data and transmits the recorded data through the transmission module;
local storage: the local storage is used for storing the acquired data and generating a data message, and the intelligent terminal analyzes the data message to analyze and position the fault position;
cloud platform: the cloud platform is connected with the intelligent terminal through a transmission module, a translation analysis module is arranged on the cloud platform and used for translating signals of transmission data, and a feedback module and a sending module are arranged on the cloud platform;
a user terminal: the user terminal is connected with the cloud platform through a mobile network, and the user terminal is connected with the cloud platform feedback module through the sending module.
Preferably, the vehicle acquisition module and the automobile circuit are connected in parallel, and the vehicle acquisition module is electrically connected with a timer.
Preferably, the data packet records a timestamp, and the intelligent terminal is internally provided with a judgment rule.
Preferably, the determination rule is: and marking the timestamp of the data message in a trisection manner according to the preset acquisition time, judging that the node has no feeding problem when the third timestamp data is in a ring building state and meets a sleep condition state, and marking that the node has the feeding problem when the third timestamp data is in the ring building state and does not meet the sleep condition state.
A vehicle feed remote monitoring and early warning method comprises the following steps:
the method comprises the following steps: when a user stops using the vehicle, the vehicle starts the vehicle acquisition module after the vehicle stops working, records the circuit state in the vehicle, records related data and uploads the data to the intelligent terminal;
step two: generating a corresponding data log through the intelligent terminal, importing the log into a local storage, and simultaneously sending feed data to the cloud platform through the intelligent terminal;
step three: the cloud platform analyzes the data, translates the data, sends the translated data to the user terminal in a form of short message or APP prompt through the mobile network, and prompts the user that the vehicle has a feed risk;
compared with the prior art, the invention has the beneficial effects that:
the vehicle feed remote monitoring and early warning system and method can monitor the working state of a vehicle after power off, can record the position of a vehicle feed fault when the vehicle feed occurs, and stores data to the local, and prompts a user of the vehicle to present a feed risk through a user terminal, helps the user to know the state of the vehicle in real time, and can better process when maintenance processing is performed again, so that the positioning speed of a fault point is improved, the user experience is improved, and meanwhile, the service life of the vehicle can also be prolonged.
Drawings
FIG. 1 is a schematic diagram of a system architecture according to the present invention;
fig. 2 is a schematic diagram of the detection and early warning method of 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, the present invention provides a technical solution: a vehicle feed remote monitoring and early warning system and method comprises the following steps:
the vehicle acquisition module: the vehicle acquisition module is arranged on the automobile and is electrically connected with the automobile and used for acquiring the working information of an electronic control unit arranged in the automobile;
the intelligent terminal: the intelligent terminal is designed to be in a vehicle-mounted structure, and comprises a receiving module, a recording module and a transmission module, wherein the receiving module is electrically connected with the vehicle acquisition module, the receiving module transmits acquired data to the vehicle-mounted terminal, and the recording module records the data and transmits the recorded data through the transmission module;
local storage: the local storage is used for storing the acquired data and generating a data message, and the intelligent terminal analyzes the data message to analyze and position the fault position;
cloud platform: the cloud platform is connected with the intelligent terminal through a transmission module, a translation analysis module is arranged on the cloud platform and used for translating signals of transmission data, and a feedback module and a sending module are arranged on the cloud platform;
a user terminal: the user terminal is connected with the cloud platform through a mobile network, and the user terminal is connected with the cloud platform feedback module through the sending module.
Meanwhile, the vehicle acquisition module and the automobile circuit are connected in parallel, the vehicle acquisition module is electrically connected with a timer, the data message is recorded with a timestamp, and a judgment rule is arranged in the intelligent terminal and is as follows: according to the preset acquisition time, trisection marking is carried out on the data message timestamp, when the third timestamp data is in a ring building state and meets a sleep condition state, the node is judged to have no feeding problem, and when the third timestamp is in the ring building state and does not meet the sleep condition state, the node is marked to have the feeding problem;
referring to fig. 2, a method for remotely monitoring and warning vehicle feeding includes the following steps:
the method comprises the following steps: when a user stops using the vehicle, the vehicle starts the vehicle acquisition module after the vehicle stops working, records the circuit state in the vehicle, records related data and uploads the data to the intelligent terminal;
step two: generating a corresponding data log through the intelligent terminal, importing the log into a local storage, and simultaneously sending feed data to the cloud platform through the intelligent terminal;
step three: the cloud platform analyzes the data, translates the data, sends the translated data to the user terminal in a short message or APP prompting mode through the mobile network, and prompts the user that the vehicle has a feed risk.
The user stops using the vehicle, the vehicle starts the vehicle acquisition module after stopping working for fifteen minutes, recording the state of the circuit in the vehicle, marking the timestamp of the data message by trisection according to the preset acquisition time, when the third timestamp data is in a loop building state and meets a sleep condition state, judging that the node has no power feeding problem, and when the third timestamp is in the loop-building state and does not satisfy the sleep condition state, it can mark that the node has the feeding problem, and records the relevant data, uploads the data to the intelligent terminal, generates a corresponding data log through the intelligent terminal, imports the log into a local storage, meanwhile, the intelligent terminal sends the feed data to the cloud platform, the cloud platform analyzes the data and translates the data, and sending the translated data to a user terminal in a form of short message or APP prompt through a mobile network to prompt the user that the vehicle has feed risk.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A vehicle feed remote monitoring, early warning system, characterized by, includes:
the vehicle acquisition module: the vehicle acquisition module is arranged on the automobile and is electrically connected with the automobile and used for acquiring the working information of an electronic control unit arranged in the automobile;
the intelligent terminal: the intelligent terminal is designed to be in a vehicle-mounted structure, and comprises a receiving module, a recording module and a transmission module, wherein the receiving module is electrically connected with the vehicle acquisition module, the receiving module transmits acquired data to the vehicle-mounted terminal, and the recording module records the data and transmits the recorded data through the transmission module;
local storage: the local storage is used for storing the acquired data and generating a data message, and the intelligent terminal analyzes the data message to analyze and position the fault position;
cloud platform: the cloud platform is connected with the intelligent terminal through a transmission module, a translation analysis module is arranged on the cloud platform and used for translating signals of transmission data, and a feedback module and a sending module are arranged on the cloud platform;
a user terminal: the user terminal is connected with the cloud platform through a mobile network, and the user terminal is connected with the cloud platform feedback module through the sending module.
2. The vehicle feed remote monitoring and early warning system of claim 1, wherein: the vehicle acquisition module and the automobile circuit are connected in parallel, and the vehicle acquisition module is electrically connected with a timer.
3. The vehicle feed remote monitoring and early warning system of claim 1, wherein: the data message records a timestamp, and a judgment rule is arranged in the intelligent terminal.
4. The vehicle feed remote monitoring and early warning system as claimed in claim 3, wherein: the judgment rule is as follows: and marking the timestamp of the data message in a trisection manner according to the preset acquisition time, judging that the node has no feeding problem when the third timestamp data is in a ring building state and meets a sleep condition state, and marking that the node has the feeding problem when the third timestamp data is in the ring building state and does not meet the sleep condition state.
5. The vehicle feed remote monitoring and early warning method according to claims 1-4, characterized in that: the method comprises the following steps:
the method comprises the following steps: when a user stops using the vehicle, the vehicle starts the vehicle acquisition module after the vehicle stops working, records the circuit state in the vehicle, records related data and uploads the data to the intelligent terminal;
step two: generating a corresponding data log through the intelligent terminal, importing the log into a local storage, and simultaneously sending feed data to the cloud platform through the intelligent terminal;
step three: the cloud platform analyzes the data, translates the data, sends the translated data to the user terminal in a short message or APP prompting mode through the mobile network, and prompts the user that the vehicle has a feed risk.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210158406.7A CN114545903A (en) | 2022-02-21 | 2022-02-21 | Vehicle feed remote monitoring and early warning system and method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210158406.7A CN114545903A (en) | 2022-02-21 | 2022-02-21 | Vehicle feed remote monitoring and early warning system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115061412A (en) * | 2022-07-19 | 2022-09-16 | 嘉兴市尚瑞电子科技有限公司 | Vehicle anti-feed controller for vehicle power management |
| CN115250268A (en) * | 2022-06-10 | 2022-10-28 | 重庆长安汽车股份有限公司 | Automatic driving data acquisition method based on pull mode and automobile |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112380045A (en) * | 2020-12-03 | 2021-02-19 | 安徽江淮汽车集团股份有限公司 | Vehicle abnormality detection method, device, equipment and storage medium |
| CN113015135A (en) * | 2021-03-29 | 2021-06-22 | 重庆长安汽车股份有限公司 | Dormancy awakening method for remote monitoring vehicle-end controller based on network management |
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2022
- 2022-02-21 CN CN202210158406.7A patent/CN114545903A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112380045A (en) * | 2020-12-03 | 2021-02-19 | 安徽江淮汽车集团股份有限公司 | Vehicle abnormality detection method, device, equipment and storage medium |
| CN113015135A (en) * | 2021-03-29 | 2021-06-22 | 重庆长安汽车股份有限公司 | Dormancy awakening method for remote monitoring vehicle-end controller based on network management |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115250268A (en) * | 2022-06-10 | 2022-10-28 | 重庆长安汽车股份有限公司 | Automatic driving data acquisition method based on pull mode and automobile |
| CN115250268B (en) * | 2022-06-10 | 2023-06-06 | 重庆长安汽车股份有限公司 | Automatic driving data acquisition method based on pull mode and automobile |
| CN115061412A (en) * | 2022-07-19 | 2022-09-16 | 嘉兴市尚瑞电子科技有限公司 | Vehicle anti-feed controller for vehicle power management |
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