Vehicle off-line detection system and method based on automobile data recorder
By using a dash recorder to collect and upload vehicle signals in vehicle offline detection, and using the judgment conditions of cloud servers, the problems of misjudgment and misjudgment in the existing technology are solved, and more efficient and accurate vehicle offline detection is achieved .
Patent Information
- Application Number
- CN202411370710.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-29
- Publication Date
- 2024-12-27
AI Technical Summary
The prior art has missed judgments and misjudgments in vehicle offline detection, which cannot effectively confirm the authenticity of the detection, and cannot meet the real-time acquisition of vehicle signal changes and the rapid judgment of cloud servers.
Using a vehicle offline detection system based on a driving recorder, the vehicle signal is collected through the recorder and uploaded to the cloud server according to the blind spot data, periodic data, alarm data and signal change reporting strategy. The cloud server determines whether the vehicle signal is determined based on preset conditions. Pass and return the results.
It improves the fault tolerance and detection efficiency, facilitates on-site problem investigation, and ensures the accuracy and real-timeness of vehicle offline inspections.
Smart Images
Figure CN119206895A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of vehicle detection, and in particular to a vehicle offline detection system and method based on a driving recorder. Background Art
[0002] At present, the production of vehicles and recorders is based on the industry's common practice of using the menu button on the printer to call up the signal status and confirm them one by one. The single vehicle inspection takes a long time, and this method often results in missed judgments and misjudgments, and no traces can be left, and the authenticity of the inspection cannot be confirmed. After the new standard of the recorder is switched, it is required to provide video and disaster recovery storage, and use unmanned judgment.
[0003] The driving recorder is an accessory that must be installed on vehicles. To realize online detection of vehicle recorders when they come off the production line, the vehicle signals are collected and reported periodically in the recorder standard protocol. The reporting time interval is long, so the signal change information will be lost. It cannot meet the requirements of vehicle production and off-line detection. When the vehicle's corresponding signal changes, the signal collection is completed and reported to the cloud server. The cloud server judges the vehicle data that meets the judgment according to the driving recorder trajectory data and statistical rules. Summary of the invention
[0004] In view of the above technical problems, the present invention provides a vehicle offline detection system and method based on a driving recorder.
[0005] The present invention is implemented by adopting the following technical scheme: a vehicle offline detection system based on a driving recorder, comprising a recorder, a communication module and a cloud server, wherein: Recorder, used to collect vehicle signals and upload them to the cloud server according to the reporting strategy; The communication module is used to establish a communication link between the recorder and the cloud server, receive the vehicle signals collected by the recorder, and store them in the database; The cloud server is used to provide offline detection services. It determines whether the vehicle signal is qualified based on the data reported by the recorder stored in the database within a preset time, and returns the result to the recorder.
[0006] Furthermore, the recorder collects vehicle signals through hard wires and / or CAN bus, and the vehicle signals include one or more of vehicle positioning, power status, vehicle gear, vehicle speed, brake signal, high and low beam headlights, left and right turn signals, fog lights, seat belts and door switch status.
[0007] Furthermore, the reporting strategy includes blind spot data reporting, periodic data reporting, alarm data reporting and vehicle signal change reporting.
[0008] Furthermore, blind spot data reporting: when the network signal is unavailable, the vehicle signal is first stored in the recorder memory in chronological order, and when the network is restored, the data is retransmitted to the cloud server; Periodic data reporting: Report the collected vehicle signals to the cloud server according to the preset period; Alarm data reporting: When there is a fault in the collected vehicle signal, it will be reported to the cloud server; Vehicle signal change reporting: The recorder creates a separate task to determine the real-time collection of vehicle signal changes. The signal collection period is the minimum signal change period. When the collected signal flips and changes, it is reported to the cloud server.
[0009] Furthermore, the cloud server determines whether the vehicle signal is qualified by the following conditions: During the detection period, whether positioning data in both valid and invalid states are received at the same time; During the detection cycle, whether the signal is received at the same time as the on and off status; During the detection cycle, whether the vehicle speed is detected to be greater than a preset value; During the detection cycle, whether the last one is an alarm signal; If all the above judgments are valid, the judgment is qualified. If one or more of them are invalid, the judgment is unqualified.
[0010] A vehicle offline detection method based on a driving recorder is implemented based on the above-mentioned vehicle offline detection system based on a driving recorder, and comprises the following steps: S1: Establish a link and collect vehicle signals through the recorder; S2: After successful authentication, the data collected by the recorder is received, offline testing is performed, and the test results are generated.
[0011] Furthermore, step S1 includes the following sub-steps: S101: The recorder requests the cloud server to establish a TCP link and sends an authentication request; S102: After receiving the authentication success message from the cloud server, the recorder periodically collects vehicle signals, stores them in the recorder, organizes messages and sends them to the cloud server; S103: The recorder reads the blind area data and reports it to the cloud server. After receiving a response from the cloud server, the recorder reports the next piece of blind area data. S104: On-site personnel operate the vehicle and operate the vehicle during driving; S105: The recorder collects vehicle signal changes, organizes messages and reports them to the cloud service platform; S106: The recorder periodically detects the video signal, the positioning antenna and the status of each module, the status of the disaster recovery memory, the loss of the video signal, the abnormality of the positioning module and the storage, and organizes the message to be immediately reported to the cloud server.
[0012] Furthermore, step S2 includes the following sub-steps: S201: The recorder establishes a TCP link with the cloud server through the 4G network, and after successful authentication, data communication is carried out; S202: Receive periodic and sudden messages from the recorder, which contain the number of positioning bits, vehicle data, and alarm data, perform protocol analysis and data verification, and after successful verification, perform analysis and storage operations, and return a response message to the linked recorder within a certain period of time; S203: After the on-site personnel complete the vehicle inspection action, they send an inspection request to the cloud server; S204: The cloud server receives the detection request, obtains the reported positioning data, alarm data, and vehicle data reported by the driving recorder within seven days before the requested detection time, and generates a detection data set; S205: The cloud server screens the number of alarms and the statistical vehicle data according to the judgment principle to determine whether the vehicle inspection is qualified, and generates a description of the inspection result; S206: Display the test results and generate a test result record, which is stored in a database.
[0013] The beneficial effects of the present invention are as follows: the present invention can report vehicle signals by means of blind spot data uploading, periodic data uploading, alarm data uploading and vehicle signal change uploading, which can greatly improve the fault tolerance rate, facilitate on-site problem troubleshooting, and effectively improve the vehicle's offline detection efficiency; when there is a vehicle that fails the offline detection, the human-computer interaction interface can be used to first check whether the recorder information and vehicle information are consistent in the manufacturing operation management platform, and it can also be checked whether the network status, positioning information, vehicle signals and other real-time information are collected effectively, which is convenient for on-site problem troubleshooting. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.
[0015] Figure 1 is a system block diagram of the present invention; Figure 2 This is the work flow chart of the recorder; Figure 3This is a cloud server workflow diagram. DETAILED DESCRIPTION
[0016] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.
[0017] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.
[0018] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.
[0019] See also Figure 1 A vehicle offline detection system based on a driving recorder includes a driving recorder, a communication module and a cloud server, wherein the driving recorder is used to collect vehicle signals and upload the vehicle signals to the cloud server according to a reporting strategy; the communication module is used to establish a communication link between the driving recorder and the cloud server, receive the vehicle signals collected by the driving recorder, and store them in a database; the cloud server is used to provide offline detection services, and judge whether the vehicle signals are qualified according to the data reported by the driving recorder stored in the database within a preset time, and return the results to the driving recorder.
[0020] In this embodiment, the recorder is installed on the vehicle, providing a friendly user interface; it can connect to a wireless network; receive satellite positioning data; and can connect to the camera in the vehicle to collect and store videos locally; it can collect vehicle signals through hard lines, CAN, etc.; and can record data such as power status, vehicle gear, vehicle speed, brake signal, high and low beam, left and right turn signals, fog lights, seat belts, door switch status, etc. After connecting to the recording screen platform, the positioning data and vehicle data are collected at a certain period, organized into message data, and uploaded to the recorder platform in chronological order and recorded.
[0021] The recorder can create a separate task to determine the real-time acquisition of vehicle signal changes. The signal acquisition cycle is the minimum signal change cycle. When the collected signal flips and changes, it is delivered to the recorder sending queue and sent to the cloud server. When the power supply changes, the video signal, the memory fails, the positioning antenna and the module fail, a message data can be reported to the recorder platform according to the conditions when the event occurs. When the production site is limited or the network fluctuates occasionally, the network signal is not good or unavailable, the periodic message data, signal flip message data, and event alarm message data will be stored in the recorder memory in chronological order. After the signal is restored, the recorder will retransmit the stored blind area data. This greatly improves the fault tolerance rate. When there is a vehicle that fails the offline detection, the human-computer interaction interface can be used to first check whether the recorder information and vehicle information are consistent in the manufacturing operation management platform. You can also check whether the real-time information such as network status, positioning information, and vehicle signals are collected effectively, which is convenient for on-site problem troubleshooting.
[0022] In this embodiment, after the vehicle recorder and the vehicle are installed, the cloud server completes the entry of vehicle information and recorder information, that is, completes the binding of the recorder and the vehicle. The recorder and the cloud server establish a TCP link through the 4G network, receive the message data sent by the recorder, parse the message data, and store it in the database. The message data includes positioning data, vehicle signal data, and alarm data. Before the vehicle goes online, the offline inspection is triggered by manual code scanning and other methods. The cloud server determines whether the vehicle signal is qualified based on the recorder reported data stored in the database within a period of time. The specific actual situation can be determined based on the time turnover of the production vehicle, and the results are returned, and the recorder test results are displayed and recorded. Workers can find and fix problems based on the printed results. After the problem is rectified, the test and result printing can be carried out again, and the vehicle can be put into storage only after the test results are qualified.
[0023] Specifically, the main functions of the recorder are to collect vehicle signal data through hard wires and CAN, connect to the in-vehicle camera through the video interface, connect the positioning module to the in-vehicle positioning antenna to obtain positioning data, detect positioning module and positioning antenna, video, and storage errors, establish a TCP connection with the cloud server through the communication module, report data periodically, report data when the vehicle signal changes, store blind spot data when the network condition is poor, and report blind spot data again after the network connection is successful. The recorder provides a display function that can display recorder information, positioning and vehicle data. The cloud server establishes a link with the recorder, accepts and stores the data reported by the recorder, receives detection messages, retrieves data according to detection conditions, produces test data sets, and returns a description of the detection results based on the judgment of signal validity and alarm status.
[0024] See also Figure 2 , the workflow of the recorder is: Step S101, the driving recorder requests the cloud server to establish a TCP link and sends an authentication request.
[0025] Step S102, after receiving the cloud authentication success message, the recorder periodically collects positioning, vehicle signals and other information, periodically detects the power supply, memory status, and status of each functional module, collects video data in real time and stores it in the recorder, organizes the message and sends it to the cloud server.
[0026] Step S103, the recorder reads the blind spot data (positioning data, vehicle signal data, alarm information) and reports it to the platform. After receiving a response from the platform, the next piece of blind spot data is reported.
[0027] Step S104, the on-site personnel operate the vehicle, and operate the high beam, low beam, rear fog light, seat belt, reverse light and other signals during driving.
[0028] Step S105, the recorder collects changes in vehicle speed, doors, high beam, low beam, rear fog light, seat belt, reverse gear and other signals, organizes messages and reports them to the cloud service platform.
[0029] Step S106, the recorder periodically detects the video signal, the positioning antenna and module status, and the disaster recovery memory status. If the video signal is lost, the positioning module is abnormal, or the storage is abnormal, the organization message is immediately reported to the cloud server.
[0030] In the embodiment of the present invention, in steps S102, S103, and S105, the recorder is connected to the cloud server according to the conventional communication protocol. After the authentication is successful, in order to maintain the TCP long connection, the positioning data, vehicle data, and alarm data are periodically reported to the cloud server. The positioning data includes time, longitude and latitude, and heading. The vehicle data includes information such as speed, mileage, doors, high beam, low beam, rear fog light, seat belt, and reversing light. The alarm detection includes positioning antenna abnormality alarm, memory abnormality alarm, video signal alarm, and video monitoring alarm data includes but is not limited to: fatigue driving, distracted driving, yawning, smoking, etc. In the embodiment of the present invention, the cloud server supports conventional data communication protocols, and the conventional communication protocols refer to road vehicle and platform data interaction protocols issued by relevant national departments, including but not limited to "JT / T808 Road Transport Vehicle Satellite Positioning System Terminal Communication Protocol and Data Format" in steps S102, S103, and S106.
[0031] After the authentication is successful and the recorder communicates normally with the cloud platform, the blind spot data must be sent to the cloud server. The blind spot data is the positioning information, vehicle data, and alarm information stored in the recorder when the network signal is poor.
[0032] See also Figure 3,The workflow of the cloud server mainly includes: In step S201, data communication can only be carried out after a TCP link is established between the driving recorder and the cloud server through the 4G network and authentication is successful.
[0033] Step S202, receiving the periodic and sudden messages of the driving recorder, the messages contain the number of positioning bits, vehicle data, and alarm data, performing protocol parsing and data verification, and after successful verification, performing parsing and storage operations, and returning a response message to the linked recorder within a certain period of time.
[0034] Step S203: After the on-site personnel complete the vehicle detection action, they send a detection request to the cloud server.
[0035] Step S204: The cloud server receives the detection request, obtains the reported positioning data, alarm data, and vehicle data reported by the driving recorder within seven days before the requested detection time, and generates a detection data set.
[0036] In step S205, the cloud server screens the number of alarms and statistically analyzes vehicle data according to the judgment principle to determine whether the vehicle inspection is qualified, and generates a description of the inspection results.
[0037] Step S206, display the test results, and generate a test result record and store it in the database.
[0038] In an embodiment of the present invention, the cloud server supports conventional data communication protocols, which refer to protocols for data interaction between road vehicles and platforms issued by relevant national departments, including but not limited to the "JT / T808 Road Transport Vehicle Satellite Positioning System Terminal Communication Protocol and Data Format" in step S202. After the driving recorder establishes a connection with the cloud server through the conventional communication protocol, it reports the number of positioning digits, vehicle data, and alarm data. The cloud server parses the number of positioning digits, vehicle data, and alarm data according to the conventional communication protocol, and stores them in the corresponding database according to the unique identification code of the driving recorder as described in step S203.
[0039] The cloud server detection judgment conditions are as follows: 1. The cloud server selects the data uploaded by the recorder within 7 days from the database that meets the required positioning time.
[0040] 2. During the detection period, the cloud server receives positioning data in both valid and invalid states at the same time, that is, it determines that the positioning signal is valid, otherwise it is determined that the signal is invalid.
[0041] 3. During the detection period, if the cloud server receives both the on and off states of the signal, the signal is considered valid, otherwise it is considered invalid. The signals that follow this judgment principle include: left turn, right turn, high beam, low beam, rear fog light, reverse gear, seat belt, and brake.
[0042] 4. During the detection period, the cloud server receives the speed reported by the driving recorder, and the value is greater than or equal to 0.1 kilometers, which is valid, and the value is 0 or negative, which is invalid. Follow this judgment speed signal.
[0043] 5. During the detection period, the cloud server will make a status judgment based on the last valid alarm information received during the detection period. If there is no alarm, the detection is considered valid. If there is an alarm, the detection is considered unqualified. The alarm includes: video signal and memory signal. The dashcam will make its own judgment when the alarm is generated.
[0044] 6. After all the above related test items are judged, if all the test items are valid, it is judged as qualified. If one or more of them are invalid, it is judged as unqualified.
[0045] The cloud server receives the detection request and detection results, and can provide a detection interface by the cloud server, which can communicate through the https protocol and connect to the vehicle manufacturing management platform.
[0046] The present invention can report vehicle signals by uploading blind spot data, periodic data, alarm data and vehicle signal change data, which can greatly improve the fault tolerance rate, facilitate on-site problem troubleshooting, and effectively improve the vehicle's offline inspection efficiency; when a vehicle fails the offline inspection, the human-computer interaction interface can be used to first check whether the recorder information and vehicle information are consistent in the manufacturing operation management platform, and also to check whether the network status, positioning information, vehicle signals and other real-time information are collected effectively, which is convenient for on-site problem troubleshooting.
[0047] For the aforementioned embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily required by the present application.
[0048] The above embodiments describe the basic principles and main features of the present invention and the advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the changes and modifications made by those skilled in the art shall be within the scope of protection of the appended claims of the present invention without departing from the spirit and scope of the present invention.
Claims
1. A vehicle offline detection system based on a driving recorder, characterized in that: It includes a recorder, a communication module and a cloud server, among which: Recorder, used to collect vehicle signals and upload them to the cloud server according to the reporting strategy; The communication module is used to establish a communication link between the recorder and the cloud server, receive the vehicle signals collected by the recorder, and store them in the database; The cloud server is used to provide offline detection services. It determines whether the vehicle signal is qualified based on the data reported by the recorder stored in the database within a preset time, and returns the result to the recorder.
2. A vehicle offline detection system based on a driving recorder as claimed in claim 1, characterized in that: The recorder collects vehicle signals through hard lines and / or CAN bus, and the vehicle signals include one or more of vehicle positioning, power status, vehicle gear position, vehicle speed, brake signal, high and low beam headlights, left and right turn signals, fog lights, seat belts and door switch status.
3. A vehicle offline detection system based on a driving recorder as claimed in claim 2, characterized in that: The reporting strategies include blind spot data reporting, periodic data reporting, alarm data reporting and vehicle signal change reporting.
4. A vehicle offline detection system based on a driving recorder as claimed in claim 3, characterized in that: Blind spot data reporting: When the network signal is unavailable, the vehicle signal is first stored in the recorder memory in chronological order, and when the network is restored, the data is retransmitted to the cloud server; Periodic data reporting: Report the collected vehicle signals to the cloud server according to the preset period; Alarm data reporting: When there is a fault in the collected vehicle signal, it will be reported to the cloud server; Vehicle signal change reporting: The recorder creates a separate task to determine the real-time collection of vehicle signal changes. The signal collection period is the minimum signal change period. When the collected signal flips and changes, it is reported to the cloud server.
5. A vehicle offline detection system based on a driving recorder as claimed in claim 4, characterized in that: The cloud server determines whether the vehicle signal is qualified according to the following conditions: During the detection period, whether positioning data in both valid and invalid states are received at the same time; During the detection cycle, whether the signal is received at the same time as the on and off status; During the detection cycle, whether the vehicle speed is detected to be greater than a preset value; During the detection cycle, whether the last one is an alarm signal; If all the above judgments are valid, the judgment is qualified. If one or more of them are invalid, the judgment is unqualified.
6. A vehicle offline detection method based on a driving recorder, implemented based on a vehicle offline detection system based on a driving recorder according to any one of claims 1 to 5, characterized in that: The steps include: S1: Establish a link and collect vehicle signals through the recorder; S2: After successful authentication, the data collected by the recorder is received, offline testing is performed, and the test results are generated.
7. A vehicle offline detection method based on a driving recorder as claimed in claim 6, characterized in that: Step S1 includes the following sub-steps: S101: The recorder requests the cloud server to establish a TCP link and sends an authentication request; S102: After receiving the authentication success message from the cloud server, the recorder periodically collects vehicle signals, stores them in the recorder, organizes messages and sends them to the cloud server; S103: The recorder reads the blind area data and reports it to the cloud server. After receiving a response from the cloud server, the recorder reports the next piece of blind area data. S104: On-site personnel operate the vehicle and operate the vehicle during driving; S105: The recorder collects vehicle signal changes, organizes messages and reports them to the cloud service platform; S106: The recorder periodically detects the video signal, the positioning antenna and the status of each module, the status of the disaster recovery memory, the loss of the video signal, the abnormality of the positioning module and the storage, and organizes the message to be immediately reported to the cloud server.
8. A vehicle offline detection method based on a driving recorder as claimed in claim 7, characterized in that: Step S2 includes the following sub-steps: S201: The recorder establishes a TCP link with the cloud server through the 4G network, and after successful authentication, data communication is carried out; S202: Receive periodic and sudden messages from the recorder, which contain the number of positioning bits, vehicle data, and alarm data, perform protocol analysis and data verification, and after successful verification, perform analysis and storage operations, and return a response message to the linked recorder within a certain period of time; S203: After the on-site personnel complete the vehicle inspection action, they send an inspection request to the cloud server; S204: The cloud server receives the detection request, obtains the reported positioning data, alarm data, and vehicle data reported by the driving recorder within seven days before the requested detection time, and generates a detection data set; S205: The cloud server screens the number of alarms and the statistical vehicle data according to the judgment principle to determine whether the vehicle inspection is qualified, and generates a description of the inspection result; S206: Display the test results and generate a test result record, which is stored in a database.