CN114527729A - Vehicle health state remote monitoring system and method based on cloud platform - Google Patents
Vehicle health state remote monitoring system and method based on cloud platform Download PDFInfo
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- CN114527729A CN114527729A CN202210158501.7A CN202210158501A CN114527729A CN 114527729 A CN114527729 A CN 114527729A CN 202210158501 A CN202210158501 A CN 202210158501A CN 114527729 A CN114527729 A CN 114527729A
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- 238000012545 processing Methods 0.000 claims abstract description 11
- 230000006855 networking Effects 0.000 claims description 18
- 230000003862 health status Effects 0.000 claims description 11
- 238000012423 maintenance Methods 0.000 claims description 10
- 238000003324 Six Sigma (6σ) Methods 0.000 claims description 4
- 239000000446 fuel Substances 0.000 claims description 4
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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
- G05B23/0208—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
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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
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- 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
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Abstract
The invention discloses a vehicle health state remote monitoring system and method based on a cloud platform, wherein the monitoring system comprises an Internet of vehicles intelligent terminal, the cloud platform and a mobile terminal; the intelligent terminal of the Internet of vehicles is used for acquiring vehicle condition data of the vehicle and transmitting the vehicle condition data to the cloud platform; the cloud platform is used for receiving vehicle condition data from the vehicle network intelligent terminal, processing the vehicle condition data and evaluating the vehicle condition data to obtain safety state information of the vehicle; the mobile terminal is used for receiving vehicle safety state information from the cloud platform and sending a control command to the Internet of vehicles intelligent terminal. The invention can monitor the health state of the vehicle in real time, can effectively distinguish the vehicle health problems, can timely find and process the vehicle when the vehicle has fault hidden danger, and can timely feed back the vehicle health state to a vehicle driver.
Description
Technical Field
The invention relates to the technical field of vehicle networking, in particular to a vehicle health state remote monitoring system and method based on a cloud platform.
Background
With the rapid development of science and technology, technologies such as new energy automobiles and unmanned driving become mature gradually, but no matter how the vehicles develop, an important problem cannot be avoided, and the problem is just a safety problem. If a method is available for timely finding the health problem of the vehicle, a plurality of accidents are believed to be avoided, and the related technology is the vehicle health monitoring technology. In the existing vehicle-mounted equipment, a vehicle fault diagnosis system is a relatively mature technology, and detailed parameters of each control system of a vehicle can be accurately acquired through a vehicle information acquisition module connected with an electronic control unit in the vehicle, but the parameters are not fully utilized to comprehensively evaluate the health state of the vehicle in the prior art, so that an effective means is not available at present for the health problem of the vehicle.
The invention patent application with the application number of CN201911421202.2 discloses a rail transit vehicle health state analysis method and a terminal based on big data, wherein the method comprises the following steps: A) deploying an edge computing terminal and a sensor on the rail transit vehicle, collecting real-time operation data of the rail transit vehicle, and caching the data; B) the edge computing terminal preprocesses the data, associates the data with a time axis to form running state data, and extracts characteristic data; C) the edge computing terminal transmits the extracted feature data to the server through the communication module, judges whether the feature data is abnormal or not according to a preset judgment rule, and sends out an alarm if the feature data is abnormal; D) establishing a fault model at a server; E) and importing the characteristic data into a fault model in the server to obtain the health state of the rail transit vehicle.
The method utilizes big data technology to realize remote monitoring on the rail transit vehicle. However, the method only establishes the fault model and feeds back when the vehicle has a fault, but cannot feed back the health state of the vehicle in time when the vehicle has no fault, and the vehicle cannot be driven normally when faults occur in many times.
Disclosure of Invention
Aiming at the defects in the prior art, the technical problems to be solved by the invention are as follows: how to provide a vehicle health state remote monitoring system and method based on a cloud platform, which can monitor the health state of a vehicle in real time and effectively distinguish the vehicle health problems so as to discover and process the vehicle in time when the vehicle has fault hidden danger and feed back the vehicle health state to a vehicle driver in time.
In order to solve the technical problems, the invention adopts the following technical scheme:
a vehicle health state remote monitoring system based on a cloud platform comprises an Internet of vehicles intelligent terminal, the cloud platform and a mobile terminal;
the intelligent terminal of the Internet of vehicles is used for acquiring vehicle condition data of the vehicle and transmitting the vehicle condition data to the cloud platform;
the cloud platform is used for receiving vehicle condition data from the vehicle network intelligent terminal, and processing and evaluating the vehicle condition data to obtain the safety state information of the vehicle;
the mobile terminal is used for receiving vehicle safety state information from the cloud platform and sending a control command to the Internet of vehicles intelligent terminal.
The working principle of the invention is as follows: when the monitoring system is used, the vehicle networking intelligent terminal acquires vehicle condition data of a vehicle in real time and transmits the vehicle condition data to the cloud platform, the cloud platform processes the vehicle condition data after receiving the vehicle condition data, safety state information of the vehicle is obtained according to the processing result of the vehicle condition data, the obtained result is sent to the mobile terminal, a driver can obtain the current health state information of the vehicle in real time through the mobile terminal, meanwhile, the cloud platform can effectively distinguish the health state of the vehicle according to the processing result of the vehicle condition data, so that the driver can be informed through the mobile terminal when hidden danger occurs to the vehicle, safety inspection can be conducted on the vehicle, the vehicle can be found and processed in time when hidden danger of failure occurs to the vehicle, and the problem that feedback is conducted when the vehicle fails in the prior art is solved.
In conclusion, the vehicle health state monitoring system can monitor the vehicle health state in real time, can effectively distinguish the vehicle health problems, can timely find and process the vehicle when the vehicle has fault hidden danger, and can timely feed the vehicle health state back to a vehicle driver.
A vehicle health state remote monitoring method based on a cloud platform adopts the vehicle health state remote monitoring system based on the cloud platform, and comprises the following steps:
step 1), the vehicle networking intelligent terminal acquires vehicle condition data of a vehicle and transmits the vehicle condition data to the cloud platform;
step 2) the cloud platform receives vehicle condition data from the vehicle network intelligent terminal, and safety state information of the vehicle is obtained by processing and evaluating the vehicle condition data;
and 3) the mobile terminal receives vehicle safety state information from the cloud platform.
Preferably, in step 1), the vehicle networking intelligent terminal acquires vehicle condition data of the vehicle by acquiring CAN bus data and a private protocol of the vehicle.
Preferably, in step 1), the vehicle networking intelligent terminal collects vehicle condition data of the vehicle according to a set period.
Therefore, the intelligent terminal of the internet of vehicles collects the vehicle condition data of the vehicles according to the set period, the validity and authenticity of the collected vehicle condition data can be guaranteed, and accurate basis is provided for the follow-up judgment of the vehicle health condition.
Preferably, the vehicle condition data of the vehicle includes fault data of the vehicle, health feature data of the vehicle, and maintenance data of the vehicle.
Therefore, by comprehensively collecting the fault data of the vehicle, the health characteristic data of the vehicle, the maintenance data of the vehicle and the like, the fault problem of the vehicle can be found, the hidden danger problem of the vehicle can be found in time, and the vehicle can be found and processed in time when the fault hidden danger exists.
Preferably, the fault data of the vehicle includes the number of occurrences of the fault, the frequency of occurrences of the fault, and the average number of occurrences of the fault per kilometer.
Preferably, the health characteristic data of the vehicle includes a fuel tank amount, a hundred kilometers fuel consumption speed, a cylinder temperature, an in-vehicle temperature, a controller temperature, and a tire pressure.
Preferably, the maintenance data of the vehicle includes the time from the last maintenance of the vehicle and the mileage traveled by the vehicle during the time.
Preferably, step 2) comprises the following steps:
step 2.1) the cloud platform calculates and evaluates the received vehicle condition data to obtain the maximum value, the minimum value, the mean square error and the standard deviation of the vehicle condition data in each running state;
step 2.2) carrying out frequency division on the vehicle condition data according to a normal distribution mode;
and 2.3) evaluating the health state of the vehicle according to a six-sigma standard.
Preferably, in step 2.2), the cloud platform compares the received vehicle condition data with the big data in the cloud platform, and frequency division is performed on the vehicle condition data according to a comparison result.
Compared with the prior art, the invention has the following advantages:
1. the invention provides the ability to remotely monitor the health status of a vehicle; the method comprises the steps that various vehicle condition data of a vehicle are collected through an intelligent terminal of the Internet of vehicles, and then data are calculated and evaluated through a cloud platform; and finally, the data is timely updated by feeding back the data to the mobile terminal through the cloud platform, so that the problem that the vehicle health problem cannot be timely fed back to a driver is solved, and a more efficient guarantee can be provided for driving an automobile through the method for remotely monitoring the vehicle health state.
2. The vehicle networking intelligent terminal acquires vehicle condition data of a vehicle by acquiring vehicle Can bus data, transmits the acquired vehicle condition data to the cloud platform through the GRPS network, is associated with a time axis to form running state data, calculates and evaluates various data through the cloud platform, and finally obtains a vehicle health state comprehensive score and feeds the vehicle health state comprehensive score back to a driver through the mobile terminal.
Drawings
FIG. 1 is a system block diagram of a vehicle health status remote monitoring system based on a cloud platform according to the present invention;
FIG. 2 is an overall flowchart of a vehicle health status remote monitoring method based on a cloud platform according to the present invention;
FIG. 3 is a flowchart of a vehicle health status evaluation method in the cloud platform-based vehicle health status remote monitoring method according to the present invention;
fig. 4 is a probability chart of normal distribution used in the cloud platform-based vehicle health status remote monitoring method of the present invention.
Detailed Description
The invention will be further explained with reference to the drawings and the embodiments.
As shown in fig. 1, a vehicle health state remote monitoring system based on a cloud platform comprises a vehicle networking intelligent terminal, a cloud platform and a mobile terminal;
the vehicle networking intelligent terminal is used for acquiring vehicle condition data of the vehicle and transmitting the vehicle condition data to the cloud platform; specifically, the vehicle networking intelligent terminal is mainly responsible for collecting relevant bus data of the automobiles Dcan, Kcan, Ptcan and the like and carrying out reverse control on a private protocol, providing various data related to the vehicle health state such as a vehicle condition report, a driving report, fuel consumption statistics and the like, and uploading the data to the cloud platform.
The cloud platform is used for receiving vehicle condition data from the vehicle network intelligent terminal, and obtaining the safety state information of the vehicle by processing and evaluating the vehicle condition data.
The mobile terminal (such as a mobile phone APP) is used for receiving vehicle safety state information from the cloud platform, so that a driver can timely, intuitively and effectively know the current health condition of the automobile, and can send a control command to the internet-of-vehicles intelligent terminal.
The working principle of the invention is as follows: when the monitoring system is used, the vehicle networking intelligent terminal collects vehicle condition data of a vehicle in real time and transmits the vehicle condition data to the cloud platform, the cloud platform processes the vehicle condition data after receiving the vehicle condition data, safety state information of the vehicle is obtained according to the processing result of the vehicle condition data, the obtained result is sent to the mobile terminal, a driver can obtain the current health state information of the vehicle in real time through the mobile terminal, meanwhile, the cloud platform can effectively distinguish the health state of the vehicle according to the processing result of the vehicle condition data, so that the driver can be informed through the mobile terminal when hidden dangers occur to the vehicle, safety inspection can be conducted on the vehicle, the vehicle can be found and processed in time when hidden dangers occur to the vehicle, and the problem that feedback is conducted when the vehicle fails in the prior art is solved.
In conclusion, the vehicle health state monitoring system can monitor the vehicle health state in real time, can effectively distinguish the vehicle health problems, can timely find and process the vehicle when the vehicle has fault hidden danger, and can timely feed the vehicle health state back to a vehicle driver.
As shown in fig. 2, a vehicle health state remote monitoring method based on a cloud platform, which adopts the vehicle health state remote monitoring system based on the cloud platform, includes the following steps:
step 1), an intelligent terminal of the internet of vehicles acquires vehicle condition data of a vehicle and transmits the vehicle condition data to a cloud platform; specifically, the vehicle networking intelligent terminal acquires vehicle condition data through the vehicle-mounted computer and the vehicle-mounted diagnosis system and uploads the vehicle condition data to the cloud platform, and meanwhile, the vehicle networking intelligent terminal acquires the vehicle condition data of the vehicle according to a set period, so that the vehicle networking intelligent terminal acquires the vehicle condition data of the vehicle according to the set period, the effectiveness and the authenticity of the acquired vehicle condition data can be guaranteed, and an accurate basis is provided for subsequently judging the vehicle health condition; in addition, after the user sends a control command through the mobile terminal, the intelligent terminal of the internet of vehicles CAN send a control message through the CAN bus and realize the control of the vehicle.
Step 2) the cloud platform receives vehicle condition data from the vehicle network intelligent terminal, and safety state information of the vehicle is obtained by processing and evaluating the vehicle condition data; specifically, the vehicle condition data of the vehicle includes fault data of the vehicle, health characteristic data of the vehicle, and maintenance data of the vehicle. Therefore, by comprehensively collecting the fault data of the vehicle, the health characteristic data of the vehicle, the maintenance data of the vehicle and the like, the fault problem of the vehicle can be found, the hidden danger problem of the vehicle can be found in time, and the vehicle can be found and processed in time when the fault hidden danger exists. The fault data of the vehicle comprises the fault occurrence frequency, the fault occurrence frequency and the average fault occurrence frequency per kilometer. The health characteristic data of the vehicle includes fuel tank quantity, hundred kilometers fuel consumption speed, cylinder temperature, temperature in the vehicle, controller temperature and tire pressure. The maintenance data of the vehicle includes the time from the last maintenance of the vehicle and the mileage the vehicle traveled during that time.
Step 3), the mobile terminal receives vehicle safety state information from the cloud platform; specifically, the mobile terminal can be connected with the intelligent terminal of the internet of vehicles to acquire relevant information of the vehicles in real time and acquire health assessment indexes calculated from the cloud platform, so that concise and clear health assessment is provided for drivers. Meanwhile, the mobile terminal CAN send a control command through the internet of vehicles intelligent terminal, then send a control message through the CAN bus and realize control over the vehicle, such as remotely starting the vehicle or carrying out health analysis on the vehicle, and finally feed back to a user through the mobile terminal, so that a driver CAN conveniently monitor and control the health condition of the vehicle.
In the embodiment, in step 1), the vehicle networking intelligent terminal acquires vehicle condition data of the vehicle by acquiring the CAN bus data and the private protocol of the vehicle.
As shown in fig. 3, in the present embodiment, the step 2) includes the following steps:
step 2.1) the cloud platform calculates and evaluates the received vehicle condition data to obtain the maximum value, the minimum value, the mean square error and the standard deviation of the vehicle condition data in each running state; specifically, the method comprises the steps of dividing different faults into grades according to grades specified in national standards, wherein the faults comprise the fault occurrence frequency, the average fault occurrence frequency per kilometer and the like.
Step 2.2) carrying out frequency division on the vehicle condition data according to a normal distribution mode; specifically, the cloud platform compares the received vehicle condition data with big data in the cloud platform, and frequency division is performed on the vehicle condition data according to a comparison result.
Step 2.3) evaluating the health state of the vehicle according to a six-sigma standard; specifically, the vehicle problem is evaluated according to the standard of 6 sigma (six sigma), if the current data is in the normal distribution 6 sigma index of the overall data, the vehicle is considered to have no health problem, the scoring mechanism requires that the long-term standard reaching rate meets 99.99966%, and if the standard is not met, the vehicle is considered to have the health problem. In addition, if the data does not satisfy 6 σ but satisfies 3 σ, that is, the data satisfies 93.32% of the qualified rate, it is determined that the vehicle is currently in a state that needs to be subjected to detailed safety inspection, and the vehicle in the interval has a health problem to some extent, but does not directly affect the actual operation of the vehicle, as shown in fig. 4, at this time, the mobile terminal can remind the driver that the vehicle has potential safety hazard and needs to be detected in time. Therefore, when the current vehicle condition data of the vehicle are in different intervals, the safety state of the vehicle is evaluated, and meanwhile, the cloud platform feeds the evaluated result back to the mobile terminal in real time.
Compared with the prior art, the invention has the following advantages: the invention provides the ability to remotely monitor the health status of a vehicle; the method comprises the steps that various vehicle condition data of a vehicle are collected through an intelligent terminal of the Internet of vehicles, and then data are calculated and evaluated through a cloud platform; and finally, the data is timely updated by feeding back the data to the mobile terminal through the cloud platform, so that the problem that the vehicle health problem cannot be timely fed back to a driver is solved, and a more efficient guarantee can be provided for driving an automobile through the method for remotely monitoring the vehicle health state. The vehicle networking intelligent terminal acquires vehicle condition data of a vehicle by acquiring vehicle Can bus data, transmits the acquired vehicle condition data to the cloud platform through the GRPS network, is associated with a time axis to form running state data, calculates and evaluates various data through the cloud platform, and finally obtains a vehicle health state comprehensive score and feeds the vehicle health state comprehensive score back to a driver through the mobile terminal.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the technical solutions, and those skilled in the art should understand that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all that should be covered by the claims of the present invention.
Claims (10)
1. A vehicle health state remote monitoring system based on a cloud platform is characterized by comprising an Internet of vehicles intelligent terminal, the cloud platform and a mobile terminal;
the intelligent terminal of the Internet of vehicles is used for acquiring vehicle condition data of the vehicle and transmitting the vehicle condition data to the cloud platform;
the cloud platform is used for receiving vehicle condition data from the vehicle network intelligent terminal, and processing and evaluating the vehicle condition data to obtain the safety state information of the vehicle;
the mobile terminal is used for receiving vehicle safety state information from the cloud platform and sending a control command to the Internet of vehicles intelligent terminal.
2. The remote vehicle health state monitoring method based on the cloud platform is characterized in that the remote vehicle health state monitoring system based on the cloud platform as claimed in claim 1 is adopted, and the method comprises the following steps:
step 1), the vehicle networking intelligent terminal acquires vehicle condition data of a vehicle and transmits the vehicle condition data to the cloud platform;
step 2) the cloud platform receives vehicle condition data from the vehicle network intelligent terminal, and safety state information of the vehicle is obtained by processing and evaluating the vehicle condition data;
and 3) the mobile terminal receives vehicle safety state information from the cloud platform.
3. The vehicle health state remote monitoring method based on the cloud platform as claimed in claim 2, wherein in step 1), the vehicle networking intelligent terminal acquires vehicle condition data of the vehicle by collecting CAN bus data and a private protocol of the vehicle.
4. The remote vehicle health state monitoring method based on the cloud platform as claimed in claim 2, wherein in step 1), the vehicle networking intelligent terminal collects vehicle condition data of the vehicle according to a set period.
5. The cloud platform-based vehicle health status remote monitoring method of claim 2, wherein the vehicle condition data of the vehicle comprises fault data of the vehicle, health characteristic data of the vehicle, and maintenance data of the vehicle.
6. The cloud platform-based vehicle health state remote monitoring method according to claim 5, wherein the fault data of the vehicle comprises fault occurrence frequency, and average fault occurrence frequency per kilometer.
7. The cloud platform-based vehicle health status remote monitoring method according to claim 5, wherein the health characteristic data of the vehicle includes fuel tank volume, hundred kilometers fuel consumption speed, cylinder temperature, in-vehicle temperature, controller temperature, and tire pressure.
8. The cloud platform-based vehicle health remote monitoring method of claim 5, wherein the vehicle maintenance data comprises a time since the vehicle was last maintained and a mileage the vehicle traveled during the time.
9. The cloud platform-based vehicle health status remote monitoring method according to claim 2, wherein the step 2) comprises the following steps:
step 2.1) the cloud platform calculates and evaluates the received vehicle condition data to obtain the maximum value, the minimum value, the mean square error and the standard deviation of the vehicle condition data in each running state;
step 2.2) carrying out frequency division on the vehicle condition data according to a normal distribution mode;
and 2.3) evaluating the health state of the vehicle according to a six-sigma standard.
10. The remote vehicle health status monitoring method according to claim 9, wherein in step 2.2), the cloud platform compares the received vehicle condition data with the big data in the cloud platform, and frequency division is performed on the vehicle condition data according to the comparison result.
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Application publication date: 20220524 |