CN115220945A - Raspberry pie-based vehicle detection device and method, vehicle and storage medium - Google Patents
Raspberry pie-based vehicle detection device and method, vehicle and storage medium Download PDFInfo
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- CN115220945A CN115220945A CN202210716071.6A CN202210716071A CN115220945A CN 115220945 A CN115220945 A CN 115220945A CN 202210716071 A CN202210716071 A CN 202210716071A CN 115220945 A CN115220945 A CN 115220945A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0736—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function
- G06F11/0739—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function in a data processing system embedded in automotive or aircraft systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
Abstract
The application discloses vehicle detection equipment and method based on raspberry pi, a vehicle and a storage medium, relates to the technical field of vehicle detection, and solves the problem that vehicle detection is not intelligent and high. The apparatus includes: the monitoring module is used for monitoring the equipment position of the vehicle detection equipment and sending the equipment position to the determining module; the determining module is used for determining a current target detection station from the plurality of detection stations according to the position of the equipment, determining a corresponding target detection program identifier according to the target detection station, and sending the target detection program identifier to the testing module, wherein each detection station is used for detecting a function corresponding to the vehicle, and each detection station comprises a corresponding coordinate range; the test module is used for calling the target detection program to detect the vehicle according to the identification of the target detection program and generating detection data; and the remote communication module is used for transmitting the detection data to the remote equipment.
Description
Technical Field
The application relates to the technical field of vehicle detection, in particular to a raspberry pi-based vehicle detection device, a raspberry pi-based vehicle detection method, a raspberry pi-based vehicle and a storage medium.
Background
The vehicle offline electrical detection test is an important ring in the automobile production process, and is specially used for vehicle general assembly offline electrical appliance tests such as fault diagnosis, function configuration, controller test, sensor calibration, actuator test and the like.
In the prior art, a vehicle is usually subjected to offline electric inspection through a special detection device, but at present, a detection device needs to be arranged on each detection station, and when the vehicle reaches the detection station, a detection program corresponding to the station needs to be manually selected, so that the problem of low detection intelligence exists.
Disclosure of Invention
The application provides a raspberry pi-based vehicle detection device, a raspberry pi-based vehicle detection method, a raspberry pi-based vehicle and a storage medium, which can solve the problem of low intelligence of vehicle detection.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect of the embodiments of the present application, a raspberry pi-based vehicle detection device is provided, where the device includes:
the monitoring module is used for monitoring the equipment position of the vehicle detection equipment and sending the equipment position to the determining module;
the determining module is used for determining a current target detection station from the multiple detection stations according to the position of the equipment, determining a corresponding target detection program identifier according to the target detection station, and sending the target detection program identifier to the testing module, wherein each detection station is used for detecting a corresponding function of a vehicle, and each detection station comprises a corresponding coordinate range;
the test module is used for calling the target detection program to detect the vehicle according to the identification of the target detection program and generating detection data;
and the remote communication module is used for transmitting the detection data to the remote equipment.
In one embodiment, the apparatus further comprises a configuration module to:
and configuring corresponding coordinate ranges for the detection stations according to the detection sequence of the detection stations and the position information of the detection devices corresponding to the detection stations.
In one embodiment, the determining module is specifically configured to:
and if the monitored current equipment position of the vehicle detection equipment is in the coordinate range of the detection station, determining the detection station as a target detection station.
In one embodiment, the device includes a first preset interface, the first preset interface is connected to an interface of an on-board self-diagnosis system of the vehicle, the device further includes a charging module, the charging module includes a voltage-reducing circuit, and the charging module is configured to:
the electric energy transmitted by the vehicle through the interface of the vehicle-mounted self-diagnosis system is received, the voltage reduction circuit is used for carrying out voltage reduction on the electric energy to obtain target electric energy, and the target electric energy is used for supplying power for the vehicle detection equipment.
In one embodiment, the test module is further to:
and receiving a remote detection program sent by the remote equipment, determining a current detection program according to the priorities of the remote detection program and the target detection program, and detecting the vehicle by using the current detection program.
In one embodiment, the apparatus further comprises a plurality of diagnostic routines, the diagnostic routines corresponding to the test routines, the test module further configured to:
and if an error prompt appears in the process of detecting the vehicle by using the target detection program, calling a diagnosis program corresponding to the target detection program to diagnose the fault of the vehicle.
In one embodiment, the remote communication module is further configured to:
and receiving update data of the vehicle, which is sent by the remote equipment, wherein the update data comprises an updated detection program and updated vehicle configuration data, and/or receiving an operation instruction sent by the remote equipment, and the operation instruction is used for instructing to call a target diagnosis program to diagnose the vehicle.
In a second aspect of the embodiments of the present application, a raspberry pi-based vehicle detection method is provided, where the method includes:
monitoring the equipment position of the vehicle detection equipment, and sending the equipment position to a determination module;
determining a current target detection station from a plurality of detection stations according to the position of equipment, determining a corresponding target detection program identifier according to the target detection station, and sending the target detection program identifier to a test module, wherein each detection station is used for detecting a function corresponding to a vehicle, and each detection station comprises a corresponding coordinate range;
calling a target detection program according to the identification of the target detection program to detect the vehicle and generate detection data;
the detection data is transmitted to the remote device.
In a third aspect of the embodiments of the present application, a vehicle is provided, where the vehicle includes the raspberry pi-based vehicle detection apparatus in the first aspect of the embodiments of the present application.
In a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the raspberry pi-based vehicle detection method in the second aspect of the embodiments of the present application is implemented.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
the embodiment of the application provides a vehicle detection equipment based on raspberry group, this equipment includes: the monitoring module is used for monitoring the equipment position of the vehicle detection equipment and sending the equipment position to the determining module; the determining module is used for determining a current target detection station from the plurality of detection stations according to the position of the equipment, determining a corresponding target detection program identifier according to the target detection station, and sending the target detection program identifier to the testing module, wherein each detection station is used for detecting a function corresponding to the vehicle, and each detection station comprises a corresponding coordinate range; the testing module is used for calling the target detection program to detect the vehicle according to the identification of the target detection program and generating detection data; and the remote communication module is used for transmitting the detection data to the remote equipment. The raspberry pi-based vehicle detection device provided by the embodiment of the application can determine the current target detection station according to the monitored device position of the vehicle detection device, automatically calls the detection program corresponding to the target detection station according to the device position to automatically detect the vehicle, does not need to manually select the corresponding detection program, and can improve the intelligence of vehicle detection.
Drawings
FIG. 1 is a first block diagram of a raspberry pi based vehicle detection device according to an embodiment of the present disclosure;
FIG. 2 is a second block diagram of a raspberry pi-based vehicle detection device according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a raspberry pi-based vehicle detection method according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
In the following, the terms "first", "second" are used for descriptive purposes only and are not to be understood 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 embodiments of the present disclosure, "a plurality" means two or more unless otherwise specified.
In addition, the use of "based on" or "according to" means open and inclusive, as a process, step, calculation, or other action that is "based on" or "according to" one or more conditions or values may in practice be based on additional conditions or values beyond those that are present.
The vehicle offline electrical inspection test is specially used for vehicle offline electrical apparatus tests of vehicle assembly, such as fault diagnosis, function configuration, controller test, sensor calibration, actuator test and the like, and is an important part in the automobile production process.
In the prior art, a vehicle is usually subjected to offline electric inspection through a special detection device, but at present, a detection device needs to be arranged on each detection station, and when the vehicle reaches the detection station, a detection program corresponding to the station needs to be manually selected, so that the problem of low detection intelligence exists.
In order to solve the above problem, an embodiment of the present application provides a raspberry pi-based vehicle detection apparatus, which includes: the monitoring module is used for monitoring the equipment position of the vehicle detection equipment and sending the equipment position to the determining module; the determining module is used for determining a current target detection station from the plurality of detection stations according to the position of the equipment, determining a corresponding target detection program identifier according to the target detection station, and sending the target detection program identifier to the testing module, wherein each detection station is used for detecting a function corresponding to the vehicle, and each detection station comprises a corresponding coordinate range; the test module is used for calling the target detection program to detect the vehicle according to the identification of the target detection program and generating detection data; and the remote communication module is used for transmitting the detection data to the remote equipment. The raspberry pi-based vehicle detection device provided by the embodiment of the application can determine the current target detection station according to the monitored device position of the vehicle detection device, automatically calls the detection program corresponding to the target detection station according to the device position to automatically detect the vehicle, does not need to manually select the corresponding detection program, and can improve the intelligence of vehicle detection.
As shown in fig. 1, an embodiment of the present application provides a raspberry pi-based vehicle detection apparatus, including:
and the monitoring module 11 is used for monitoring the equipment position of the vehicle detection equipment and sending the equipment position to the determining module.
Optionally, a GPS positioning module may be disposed in the vehicle detection device to monitor the device location of the vehicle in real time.
The determining module 12 is configured to determine a current target detection station from the multiple detection stations according to the device position, determine an identifier of a corresponding target detection program according to the target detection station, and send the identifier of the target detection program to the testing module.
Each detection station is used for detecting the corresponding function of the vehicle, and each detection station comprises a corresponding coordinate range.
Optionally, the detection station may be a filling station, a software flashing station, an intelligent auxiliary calibration station, a final inspection station, or other stations that can reuse the device.
Specifically, each detection station includes a corresponding detection position range, and the vehicle detection device may determine a current target detection station to be detected according to a current device position and the position range of the detection station, then determine an identifier of a corresponding target detection program according to the target detection station, and determine the identifier of the target detection program according to the determined identifier of the target detection program.
And the test module 13 is used for calling the target detection program according to the identification of the target detection program to detect the vehicle and generate detection data.
And a remote communication module 14 for transmitting the detection data to a remote device.
Optionally, the remote device may be a server, a computer device, a terminal device, or the like, which is not specifically limited in this embodiment of the application.
It should be noted that the vehicle detection device is a raspberry type device, wherein the detection module, the determination module, the test module and the remote communication module are developed based on the raspberry type, so that the actual size of the detection device can be the size of a palm, and the vehicle detection device is convenient to carry and use.
Concretely, this application direct utilization raspberry group is from software and hardware development platform of taking, make full use of raspberry group self abundant bus interface form (SCI, SPI, CAN, I2C etc.), from bluetooth of taking, wiFi, infrared, GPS, peripheral functions such as ethernet, add and join in marriage OBD power supply function, independently develop the electricity and examine the procedure, realize long-range/online electricity and examine the function, but automatic positioning station information, reach the electricity that appointed station begins the correspondence automatically and examine the flow, improve the electricity and examine efficiency, reduce and produce the line shut-off risk, and the small and exquisite use is very convenient on-vehicle of equipment appearance.
The embodiment of the application provides a vehicle detection equipment based on raspberry group, and this equipment includes: the monitoring module is used for monitoring the equipment position of the vehicle detection equipment and sending the equipment position to the determining module; the determining module is used for determining a current target detection station from the plurality of detection stations according to the position of the equipment, determining a corresponding target detection program identifier according to the target detection station, and sending the target detection program identifier to the testing module, wherein each detection station is used for detecting a function corresponding to the vehicle, and each detection station comprises a corresponding coordinate range; the test module is used for calling the target detection program to detect the vehicle according to the identification of the target detection program and generating detection data; and the remote communication module is used for transmitting the detection data to the remote equipment. The raspberry pi-based vehicle detection device provided by the embodiment of the application can determine the current target detection station according to the monitored device position of the vehicle detection device, automatically calls the detection program corresponding to the target detection station according to the device position to automatically detect the vehicle, does not need to manually select the corresponding detection program, and can improve the intelligence of vehicle detection.
As shown in fig. 2, in one embodiment, the apparatus further includes a configuration module configured to: and configuring corresponding coordinate ranges for the detection stations according to the detection sequence of the detection stations and the position information of the detection devices corresponding to the detection stations.
For example, if the filling station includes a filling device, the coordinate range of the station may be determined according to the coordinate position and the detection sequence of the filling device in the station. For example, when the station is refreshed by software, the corresponding coordinate range can be configured for the station in advance according to the detection sequence, so that the coordinate range of the detection station can be obtained.
In one embodiment, the determining module 12 is specifically configured to:
and if the monitored current equipment position of the vehicle detection equipment is located in the coordinate range of the entity station or the coordinate range of the virtual station, determining the entity station or the virtual station as a target detection station.
Optionally, the device includes a first preset interface, the first preset interface is connected to an interface of a vehicle-mounted self-diagnosis system of the vehicle, the device further includes a charging module, the charging module includes a voltage-reducing circuit, and the charging module is configured to:
the electric energy transmitted by the vehicle through the interface of the vehicle-mounted self-diagnosis system is received, the voltage reduction circuit is used for carrying out voltage reduction on the electric energy to obtain target electric energy, and the target electric energy is used for supplying power for the vehicle detection equipment.
It should be noted that some current electrical detection devices cannot supply power through an on-board self-diagnosis system (OBD) interface of a vehicle, and when an electrical detection process (such as a software flashing station) is long, there is a risk of power failure, and once the device is powered off in the flashing process, damage to a control unit (ECU) of the vehicle may be caused greatly. The problem of electric quantity needs to be repeatedly monitored, or the electric quantity in the electric detection process is ensured to be sufficient by an external circuit method. This application can charge the electric examination equipment through the OBD interface connection with the interface of predetermineeing and vehicle, can guarantee that the electric quantity of electric examination equipment is sufficient like this.
Optionally, the test module 13 is further configured to: and receiving a remote detection program sent by the remote equipment, determining a current detection program according to the priorities of the remote detection program and the target detection program, and detecting the vehicle by using the current detection program.
The device further comprises a plurality of diagnostic programs, the diagnostic programs correspond to the test programs, and the test module is further used for: and if an error prompt appears in the process of detecting the vehicle by using the target detection program, calling a diagnosis program corresponding to the target detection program to diagnose the fault of the vehicle.
It should be noted that the remote communication module 14 is further configured to: and receiving update data of the vehicle, which is sent by the remote equipment, wherein the update data comprises an updated detection program and updated vehicle configuration data, and/or receiving an operation instruction sent by the remote equipment, and the operation instruction is used for instructing to call a target diagnosis program to diagnose the vehicle.
The utility model provides a vehicle detection equipment based on raspberry group has increased OBD power module, battery module in current equipment function to integrated ethernet, CAN network bus data transmission function. Convenient to use on-vehicle, and can guarantee that the electric quantity of equipment is sufficient when the electricity is examined, meet the unusual outage scene of vehicle, can also start electricity and examine equipment battery power supply mode, guarantee that equipment can not cut off the power supply unusually. Meanwhile, the GPS module is integrated, and the background monitors position information to the electric detection program, so that the electric detection can be automatically started when the vehicle arrives at the formulated station without excessive manual intervention. And a CAN module is added. The CAN communication electric detection program is matched, and the electric detection scene under the CAN communication protocol is adapted. And by using VNC and FTP network transmission technologies, remote login of the raspberry group, transmission of vehicle configuration files and management of the electric inspection program are realized. The local operation and remote access mechanism of offline detection enables the equipment to have the feasibility of remote operation while not influencing the normal use of vehicle offline detection. In addition, this vehicle check out test set increases the vehicle and rolls off production line and detect visual display and control platform, realizes the check out test set screen control of rolling off production line, equipment abnormal management, the abnormal management of electric detection, functions such as electric detection result analysis, further this check out test set integration diagnosis interface to electric detection script for under the scene that the vehicle electric detection reported the mistake, need not to change equipment, can directly send diagnostic instruction to the control unit of vehicle, backstage regularly monitors the fault code, carries out analysis and fault record and demonstration to the fault code automatically.
Specifically, a 12V-5V DCDC voltage reduction circuit is additionally arranged on the raspberry, and a signal line (Ethernet RX & TX) of an Ethernet port (RJ 45) and a CANH & CANL signal line on an RS485_ CAN _ HAT expansion board card are correspondingly connected in a unified mode according to signal arrangement of an OBD interface, so that CAN, ethernet and power supply CAN be directly connected to a real vehicle through the OBD port to perform diagnosis communication and equipment power supply. In addition, the CAN expansion card and the GPS are directly inserted on the raspberry group board through the plug connector of the raspberry group, and relevant drivers are configured to be used.
The integrated GPS positioning system can automatically acquire the position coordinate of the current equipment by adding the GPS module on the raspberry group, is matched with the position coordinate range of each detection station of a factory, adds the position information acquisition program in the process of the raspberry group, and can start different electric detection programs when reaching different stations.
The local operation and remote access mechanism of offline detection realizes the on-site operation and remote access operation of the offline detection equipment, and the offline detection equipment automatically executes further electric detection operation according to the definition of event priority when receiving the local operation and the remote operation simultaneously, thereby avoiding the abnormal operation of the system.
Aiming at a software flashing station, a vehicle configuration file and a flashing related file need to be transmitted on the electric detection equipment in a wireless mode at regular time, a user name, a password and an IP (Internet protocol) of a raspberry group are matched by using an FTP (file transfer protocol) network transmission protocol, and then wireless transmission of a data file can be achieved.
The upper computer of the integrated electric detection and diagnosis is programmed and comprises two parts of electric detection programs and diagnosis module programs of all stations. The method comprises the steps that the electric inspection programs of all stations (such as SWDL, ECOS and FHC) develop upper computer programs according to EOL specifications of all stations, a raspberry is provided with a Python development platform and CAN support the electric inspection program development of various communication protocols such as DoIP/CAN and the like, connection with vehicles and stations is automatically established after the system is started, the operation time of equipment, abnormal events of the equipment and electric inspection result data are monitored, and then the input data are processed and then output, the station qualification rate, the detection item qualification rate, the equipment utilization rate and the like and displayed on an electric inspection control screen. When NOK is reported in the test, a diagnosis program interface is directly switched, and a diagnosis instruction is directly sent to the ECU. The diagnosis upper computer program can directly send a diagnosis instruction to the vehicle ECU, synchronously analyze and diagnose messages, output an analysis result by combining a fault code library, and automatically store log files to a background.
The remote monitoring and program control of the electric detection equipment are realized through a connection protocol and a user authentication protocol based on a protocol of a VNC. VNC (Virtual Network Computing) is based on RFB (Remote Frame Buffer) protocol for communication, a super client system based on platform independent simple display protocol, RFB (Remote Frame Buffer) is a simple protocol for Remote graphic users, since it works at the Frame Buffer level, it can be applied to all window systems, for example: x11, windows and Mac systems. Remote end users use machines (such as displays, keyboards, mice), called RFB clients, providing frame buffer changes, called RFB servers. RFB is an application layer protocol based on TCP, and server and client can implement synchronous display & manipulation through RFB. The server sends a Security Type (Security Type) to the client informing the client what way to authenticate. The client replies with the same security type, indicating a confirmation. The security of the connection is ensured by such interactive confirmation.
Compared with a traditional offline electric inspection system, the remote access server and the remote access client are respectively deployed on the raspberry dispatching electric inspection device and the remote access computer, so that the function of supporting remote access is added to the traditional offline electric inspection device. The processing efficiency of the vehicle off-line detection problem can be improved: when some offline detection problems need to be supported and processed by personnel of research and development and suppliers, technical support personnel usually need to check the electric examination records, and related personnel can check the electric examination records in a remote mode without going to a factory site by virtue of the system, and then problem analysis and processing are carried out.
Remote updating of the electric inspection program, the vehicle configuration file and the station electric inspection file: when the input data needs to be upgraded/updated, compared with the conventional mode that technical personnel of the equipment supplier arrive at a factory site and manually replace the programs in the equipment with the latest programs, the software engineer of the offline inspection equipment supplier can directly access each electric inspection equipment and release the latest electric inspection programs, vehicle configuration files and electric inspection files of each station to the target equipment.
The remote control and automatic operation of the offline detection function are realized, under certain specific scenes (such as a test stage after modification of an electrical detection program), related personnel need to test vehicle responses of certain offline detection functions, the electrical detection function can be executed only by operating buttons of equipment by workers or by an equipment touch screen in a traditional mode, corresponding station information can be directly identified through a remote access mechanism and a GPS (global positioning system) positioning function, an electrical detection EOL (Ethernet over Ethernet) process script to be executed is selected in a system, the system transmits an operation command of a user to the electrical detection equipment, and the offline detection equipment executes the corresponding electrical detection program after receiving the operation command.
The integrated upper computer for the electrical inspection and diagnosis is programmed, diagnosis operation can be immediately carried out under the condition that electrical inspection detection reports errors, equipment does not need to be replaced, manpower/equipment resources are allocated, and similarly, remote control is supported by the function, and the electrical inspection fault troubleshooting efficiency is greatly improved. In appearance, the equipment of this application is small and exquisite, only has the palm size, can charge/data transmission directly inserts on vehicle OBD mouth through vehicle OBD mouth, from taking the screen, but this electrical inspection equipment of on-the-spot direct control in step. The CAN and DoIP communication protocols CAN be compatible, so that the set of flash device CAN be compatible with all vehicle types at the present stage.
As shown in fig. 3, an embodiment of the present application provides a raspberry pi-based vehicle detection method, which includes the following steps:
each detection station is used for detecting the corresponding function of the vehicle, and each detection station comprises a corresponding coordinate range;
In one embodiment, the method further comprises:
and configuring corresponding coordinate ranges for the detection stations according to the detection sequence of the detection stations and the position information of the detection devices corresponding to the detection stations.
In one embodiment, determining a current target inspection station from a plurality of inspection stations based on the equipment location comprises:
and if the monitored current equipment position of the vehicle detection equipment is in the coordinate range of the detection station, determining the detection station as a target detection station.
In one embodiment, the device comprises a first preset interface, the first preset interface is connected with an interface of an on-board self-diagnosis system of the vehicle, and the method further comprises:
the electric energy transmitted by the vehicle through the interface of the vehicle-mounted self-diagnosis system is received, the voltage reduction circuit is used for carrying out voltage reduction on the electric energy to obtain target electric energy, and the target electric energy is used for supplying power for the vehicle detection equipment.
In one embodiment, the method further comprises:
and receiving a remote detection program sent by the remote equipment, determining a current detection program according to the priorities of the remote detection program and the target detection program, and detecting the vehicle by using the current detection program.
In one embodiment, the apparatus further comprises a plurality of diagnostic routines, the diagnostic routines corresponding to the test routines, the method further comprising:
and if an error prompt appears in the process of detecting the vehicle by using the target detection program, calling a diagnosis program corresponding to the target detection program to diagnose the fault of the vehicle.
In one embodiment, the method further comprises:
and receiving update data of the vehicle, which is sent by the remote equipment, wherein the update data comprises an updated detection program and updated vehicle configuration data, and/or receiving an operation instruction sent by the remote equipment, and the operation instruction is used for instructing to call a target diagnosis program to diagnose the vehicle.
According to the raspberry pi-based vehicle detection method provided by the embodiment of the application, the device position of vehicle detection equipment is monitored, the device position is sent to a determination module, the current target detection station is determined from a plurality of detection stations according to the device position, the corresponding target detection program identifier is determined according to the target detection station, and the target detection program identifier is sent to a test module, wherein each detection station is used for detecting the corresponding function of a vehicle, and each detection station comprises a corresponding coordinate range; calling a target detection program according to the identification of the target detection program to detect the vehicle and generate detection data; the detection data is transmitted to the remote device. The raspberry group-based vehicle detection method provided by the embodiment of the application can determine the current target detection station according to the monitored equipment position of the vehicle detection equipment, automatically calls the detection program corresponding to the target detection station according to the equipment position to automatically detect the vehicle, does not need to manually select the corresponding detection program, and can improve the intelligence of vehicle detection.
In another embodiment of the present application, a computer-readable storage medium is further provided, on which a computer program is stored, which when executed by a processor, implements the steps of the raspberry-based vehicle detection method as in the embodiment of the present application.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The processes or functions according to the embodiments of the present application are generated in whole or in part when the computer-executable instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer-readable storage media can be any available media that can be accessed by a computer or can comprise one or more data storage devices, such as servers, data centers, and the like, that can be integrated with the media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A raspberry pi based vehicle detection apparatus, the apparatus comprising:
the monitoring module is used for monitoring the equipment position of the vehicle detection equipment and sending the equipment position to the determining module;
the device comprises a determining module, a testing module and a judging module, wherein the determining module is used for determining a current target detection station from a plurality of detection stations according to the device position, determining a corresponding target detection program identifier according to the target detection station, and sending the target detection program identifier to the testing module, each detection station is used for detecting a function corresponding to a vehicle, and each detection station comprises a corresponding coordinate range;
the test module is used for calling a target detection program according to the identification of the target detection program to detect the vehicle and generate detection data;
and the remote communication module is used for sending the detection data to remote equipment.
2. The device of claim 1, further comprising a configuration module to:
and configuring a corresponding coordinate range for each detection station according to the detection sequence of the detection stations and the position information of the detection device corresponding to the detection station.
3. The device according to claim 1 or 2, wherein the determining module is specifically configured to:
and if the monitored current equipment position of the vehicle detection equipment is located in the coordinate range of the detection station, determining the detection station as the target detection station.
4. The apparatus according to claim 1, characterized in that it comprises a first preset interface connected to an interface of an on-board self-diagnostic system of the vehicle, and a charging module comprising a voltage-reducing circuit for:
and receiving the electric energy transmitted by the vehicle by using the interface of the vehicle-mounted self-diagnosis system, performing voltage reduction processing on the electric energy by using the voltage reduction circuit to obtain target electric energy, and supplying power to the vehicle detection equipment by using the target electric energy.
5. The apparatus of claim 1, wherein the testing module is further configured to:
and receiving a remote detection program sent by the remote equipment, determining a current detection program according to the priorities of the remote detection program and the target detection program, and detecting the vehicle by using the current detection program.
6. The apparatus of claim 1, further comprising a plurality of diagnostic routines corresponding to the detection routines, the test module further configured to:
and if an error prompt appears in the process of detecting the vehicle by using the target detection program, calling a diagnostic program corresponding to the target detection program to carry out fault diagnosis on the vehicle.
7. The device of claim 1, wherein the remote communication module is further configured to:
receiving update data of the vehicle sent by the remote device, wherein the update data comprises an updated detection program and updated vehicle configuration data, and/or receiving an operation instruction sent by the remote device, and the operation instruction is used for instructing to call a target diagnosis program to diagnose the vehicle.
8. A raspberry pi-based vehicle detection method, applied to the vehicle detection apparatus of any one of claims 1-7, the method comprising:
monitoring a device location of the vehicle detection device and sending the device location to the determination module;
determining a current target detection station from a plurality of detection stations according to the equipment position, determining a corresponding target detection program identifier according to the target detection station, and sending the target detection program identifier to the test module, wherein each detection station is used for detecting a corresponding function of a vehicle, and each detection station comprises a corresponding coordinate range;
calling a target detection program according to the identification of the target detection program to detect the vehicle and generate detection data;
and sending the detection data to a remote device.
9. A vehicle, characterized in that the vehicle comprises a raspberry pi based vehicle detection apparatus as claimed in any one of claims 1-7.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, implements the raspberry pi based vehicle detection method of claim 8.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117129236A (en) * | 2023-09-11 | 2023-11-28 | 深邦智能科技集团(青岛)有限公司 | Remote control-based motor vehicle equipment calibration detection method and system |
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| CN117129236A (en) * | 2023-09-11 | 2023-11-28 | 深邦智能科技集团(青岛)有限公司 | Remote control-based motor vehicle equipment calibration detection method and system |
| CN117129236B (en) * | 2023-09-11 | 2024-03-26 | 深邦智能科技集团(青岛)有限公司 | Remote control-based motor vehicle equipment calibration detection method and system |
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