CN204965181U - Long -range fault diagnostic of car based on heterogeneous network - Google Patents
Long -range fault diagnostic of car based on heterogeneous network Download PDFInfo
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- CN204965181U CN204965181U CN201520752086.3U CN201520752086U CN204965181U CN 204965181 U CN204965181 U CN 204965181U CN 201520752086 U CN201520752086 U CN 201520752086U CN 204965181 U CN204965181 U CN 204965181U
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Abstract
The utility model discloses a long -range fault diagnostic of car based on heterogeneous network, including data acquisition layer, terminal control layer, data transmission layer, failure diagnosis layer, the client terminal and vehicle failure diagnosis center, wherein collection on -vehicle data in data acquisition layer erupt simultaneously and deliver to the terminal control layer, and the terminal control layer is with on -vehicle data transmission to appointed the client terminal, and simultaneously with on -vehicle data upload to data transmission layer, the route that the data transmission layer is judged the network communication quality and the selected signal is stronger is with on -vehicle data transmission for the terminal control 0 layer, trouble result and maintenance scheme are confirmed according to the mode that on -vehicle data adopted trouble tree and electronic medical record to combine together in vehicle failure diagnosis center to send trouble result and maintenance scheme for appointed user in real time through the SMS. The utility model discloses can make the user know vehicle trouble result and diagnosis scheme the very first time, increase the security and the convenience of user's trip.
Description
Technical field
The utility model relates to Automobile Failure Diagnosis Technology field, relates generally to a kind of vehicle remote fault diagnosis system based on heterogeneous network.
Background technology
Along with the raising of expanding economy and people's living standard, automobile becomes one of main traffic instrument of people's trip gradually.Meanwhile, because people are more and more higher for the dependence of automobile, so, accordingly, higher requirement be it is also proposed to the stability of automobile, reliability.Traditional auto repair must after automobile goes wrong, can carry out diagnosing, safeguarding, and the when and where that automobile breaks down cannot be predicted, especially break down and " casting anchor " in the wild or on highway once automobile, car owner cannot find professional to keep in repair, and this often brings trouble greatly even dangerous to car owner.
Summary of the invention
Goal of the invention: in order to solve the problems of the technologies described above, the utility model proposes a kind of vehicle remote fault diagnosis system based on heterogeneous network, on-vehicle information can be sent to client terminal and car fault diagnosis center by this system, car fault diagnosis center is analyzed on-vehicle information, fault diagnosis result and maintenance scheme can be known and send to client terminal, car owner can know the status information of vehicle operating by client terminal, fault diagnosis result and maintenance scheme, can overhaul vehicle according to maintenance scheme when fault occurs, reduce the inconvenience of vehicle maintenance.
Technical scheme: the technical scheme that the utility model proposes is:
Based on a vehicle remote fault diagnosis system for heterogeneous network, comprise data collection layer, terminal control layer, data transfer layer, fault diagnosis layer, client terminal and car fault diagnosis center;
Described data collection layer comprises CAN collecting unit and ZigBee collecting unit, and collecting unit is connected with the sensor on controller each in car respectively by node, gathers vehicle-mounted data and vehicle-mounted data is sent to terminal control layer by sensor;
Described terminal control layer comprises STM32F407 main control module, bluetooth module, SD card module, CAN transceiver and ZigBee telegon; STM32F407 main control module carries out optimum configurations and module initialization to bluetooth module, SD card module, CAN transceiver and ZigBee telegon; STM32F407 main control module receives the vehicle-mounted data of CAN collecting unit collection by CAN transceiver, received the vehicle-mounted data of ZigBee collecting unit collection by ZigBee telegon, by bluetooth module, vehicle-mounted data is sent to given client terminal and data transfer layer; SD card module receives the control signal of STM32F407 main control module, stores lower than during the threshold values set at network signal to the vehicle-mounted data that STM32F407 main control module receives; STM32F407 main control module is matched by the Bluetooth of mobile phone of bluetooth module and user and is sent vehicle-mounted data, and user checks travel condition of vehicle information by mobile phone A PP, simultaneously arranges instruction by this APP to the main control module upload parameter of terminal control layer;
Described data transfer layer comprises GPRS module, wifi module and network arbitration bus, and GPRS module is connected with main control module respectively by serial ports with wifi module; Network arbitration bus receives the vehicle-mounted data that main control module is uploaded, network signal intensity is judged simultaneously, adopt GPRS module that cab signal is sent to fault diagnosis layer when network signal intensity reaches GPRS transmission condition, adopt wifi module that cab signal is sent to fault diagnosis layer when network signal intensity reaches wifi transmission conditions, when network signal intensity is lower than the threshold values set, network arbitration bus sends to terminal control layer and stores instruction, and vehicle-mounted data dumps in memory module according to storage instruction by the main control module in terminal control layer;
Described fault diagnosis layer is based upon on cloud server, and fault diagnosis layer receives the on-vehicle information that data transfer layer sends, and analyzes vehicle trouble messages and be sent to car fault diagnosis center according to on-vehicle information; Diagnostic result and maintenance scheme according to vehicle trouble messages determination diagnostic result and maintenance scheme, and are sent to designated user by car fault diagnosis center;
Described vehicle-mounted data comprises: rotating speed, oil temperature, vehicle interior temperature, humidity, combustable gas concentration, tire pressure and accumulator electric-quantity; Described travel condition of vehicle information comprises: the real time data of each sensor, current network communication quality, data transmit-receive module node working condition and accumulator dump energy.
Preferably, described fault diagnosis layer comprises vehicle electric case history query software, and fault diagnosis layer receives the vehicle-mounted data that data transfer layer is uploaded, and adopts fault tree analysis analyze vehicle-mounted data and draw failure message; Vehicle electric case history query software is according to failure message enquiring vehicle Mishap Database determination diagnostic result and maintenance scheme; Diagnostic result and maintenance scheme are sent to designated user by short message mode by fault diagnosis layer.
Beneficial effect: compared with existing auto repair mode, the utility model has some superiority following:
1, bottom adopts the mode image data that CAN and ZigBee-network combine, and also makes system have better extensibility while of making the layout of sensor convenient;
2, according to network condition, the good passage of automatic selecting signal carries out data upload, ensure that the stability of data upload;
3, the mode determination fail result adopting fault tree and electronic health record to combine and maintenance program, substantially increase the accuracy of result;
4, adopt inform by short message that user can be pinpointed the problems within the very first time, greatly reduce the inconvenience in trip.
Accompanying drawing explanation
Fig. 1 is vehicle remote fault diagnosis system structured flowchart described in the utility model;
Fig. 2 is the workflow diagram of vehicle remote fault diagnosis system described in the utility model.
Embodiment
Below in conjunction with the drawings and specific embodiments, the utility model is further described.
Embodiment: the structured flowchart being illustrated in figure 1 vehicle remote fault diagnosis system described in the utility model, native system comprises four layers, is followed successively by from bottom to top: data collection layer, terminal control layer, data transfer layer and fault diagnosis layer.Wherein, data collection layer comprises CAN collecting unit and ZigBee collecting unit, CAN collecting unit and ZigBee collecting unit form vehicle carried data collecting network jointly, and in the present embodiment, CAN collecting unit is provided with two bus nodes, connect rotating speed, oil temperature sensor in car respectively; ZigBee collecting unit is four ZigBee terminal collectors, is placed on appropriate location in car, and four ZigBee terminal collectors connect temperature, humidity, combustable gas concentration, tyre pressure sensor respectively, forms star collection network.
In terminal control layer, STM32F407 main control module is the process core of this layer, is responsible for that program starts, data retransmission and preservation, optimum configurations, module initialization and the function such as to call.STM32F407 main control module is provided with SDIO interface, serial ports 1 ~ 4 and GPIO mouth; STM32F407 main control module is connected with SD card module by SDIO interface; Be connected with bluetooth module by serial ports 1; Be connected with ZigBee telegon by serial ports 2; Be connected with CAN transceiver by GPIO mouth.Bluetooth module is the interface of man-machine interaction, user is matched by Bluetooth of mobile phone and bluetooth module, just can check the real time data of each sensor, current network communication quality, data transmit-receive module node working condition and accumulator dump energy by mobile phone A PP and can arrange instruction by this APP to the main control module upload parameter of terminal control layer.SD card module is data backup storage media, when network signal intensity is lower than the threshold values of setting, when data normally cannot upload to cloud server, network arbitration bus sends to terminal control layer and stores instruction, and vehicle-mounted data is stored in SD card module to prevent loss of data according to storage instruction by STM32F407 main control module.CAN transceiver is made up of TJA1050 chip and peripheral circuit thereof, is responsible for the transmitting-receiving of CAN data message, is controlled by the built-in CAN controller bxCAN of STM32F407.ZigBee coordinator module is the Centroid of ZigBee star network, is responsible for the sensing data that reception ZigBee terminal collector transmits.
Data transfer layer comprises GPRS module, wifi module and network arbitration bus.Which kind of before data are formally uploaded, by network arbitration bus according to network condition at that time, determine to adopt mode to carry out data upload.Adopt GPRS module that cab signal is sent to fault diagnosis layer when network signal intensity reaches GPRS transmission condition, adopt wifi module that cab signal is sent to fault diagnosis layer when network signal intensity reaches wifi transmission conditions, when network signal intensity is lower than the threshold values set, network arbitration bus sends to terminal control layer and stores instruction, and vehicle-mounted data dumps in memory module according to storage instruction by the main control module in terminal control layer.GPRS module, wifi module are connected with STM32F407 main control module respectively by serial ports 3, serial ports 4, and network arbitration bus realizes by corresponding software in main control module.
Fault diagnosis layer is based upon on cloud server, uses fault tree principle, the failure message of refinement analysing terminal vehicle layer by layer, multiple failure messages that diagnosis vehicle mounted terminal controller is uploaded; By vehicle electric case history query software, take case history as mirror, determine diagnostic result and maintenance scheme.Finally use (car owner or vehicle maintenance personnel) to appointment by short message sending diagnostic result and maintenance program.
In system worked well situation, the workflow of the present embodiment as shown in Figure 2:
Step 1: remote failure diagnosis system starts, by the STM32F407 main control module initialization all devices in terminal control layer;
Step 2:CAN bus node and ZigBee terminal collector gather respective sensor Data Concurrent respectively and deliver to corresponding CAN transceiver and ZigBee coordinator node;
The vehicle-mounted data that step 3:STM32F407 main control module is sent by serial ports reception CAN transceiver and ZigBee coordinator node;
Step 4: network arbitration bus judges network signal intensity, selects the path that signal is stronger to send data, if GPRS and WIFI signal is all poor, data is automatically saved in SD card module;
Step 5: the mode determination fail result that cloud server adopts fault tree and electronic health record to combine after accepting vehicle-mounted data and maintenance program.If break down, then by note real-time fail result and maintenance program are sent to designated user.
Interrupt: interrupt if STM32F407 main control module receives bluetooth serial ports, then call corresponding program and send sensing data to user mobile phone and ask reset system relevant parameter according to user.
The above is only preferred implementation of the present utility model; be noted that for those skilled in the art; under the prerequisite not departing from the utility model principle; can also make some improvements and modifications, these improvements and modifications also should be considered as protection domain of the present utility model.
Claims (2)
1. based on a vehicle remote fault diagnosis system for heterogeneous network, it is characterized in that, comprise data collection layer, terminal control layer, data transfer layer, fault diagnosis layer, client terminal and car fault diagnosis center;
Described data collection layer comprises CAN collecting unit and ZigBee collecting unit, and collecting unit is connected with the sensor on controller each in car respectively by node, gathers vehicle-mounted data and vehicle-mounted data is sent to terminal control layer by sensor;
Described terminal control layer comprises STM32F407 main control module, bluetooth module, SD card module, CAN transceiver and ZigBee telegon; STM32F407 main control module carries out optimum configurations and module initialization to bluetooth module, SD card module, CAN transceiver and ZigBee telegon; STM32F407 main control module receives the vehicle-mounted data of CAN collecting unit collection by CAN transceiver, received the vehicle-mounted data of ZigBee collecting unit collection by ZigBee telegon, by bluetooth module, vehicle-mounted data is sent to given client terminal and data transfer layer; SD card module receives the control signal of STM32F407 main control module, stores lower than during the threshold values set at network signal to the vehicle-mounted data that STM32F407 main control module receives; STM32F407 main control module is matched by the Bluetooth of mobile phone of bluetooth module and user and is sent vehicle-mounted data, and user checks travel condition of vehicle information by mobile phone A PP, simultaneously arranges instruction by this APP to the main control module upload parameter of terminal control layer;
Described data transfer layer comprises GPRS module, wifi module and network arbitration bus, and GPRS module is connected with main control module respectively by serial ports with wifi module; Network arbitration bus receives the vehicle-mounted data that main control module is uploaded, network signal intensity is judged simultaneously, adopt GPRS module that cab signal is sent to fault diagnosis layer when network signal intensity reaches GPRS transmission condition, adopt wifi module that cab signal is sent to fault diagnosis layer when network signal intensity reaches wifi transmission conditions, when network signal intensity is lower than the threshold values set, network arbitration bus sends to terminal control layer and stores instruction, and vehicle-mounted data dumps in memory module according to storage instruction by the main control module in terminal control layer;
Described fault diagnosis layer is based upon on cloud server, and fault diagnosis layer receives the on-vehicle information that data transfer layer sends, and analyzes vehicle trouble messages and be sent to car fault diagnosis center according to on-vehicle information; Diagnostic result and maintenance scheme according to vehicle trouble messages determination diagnostic result and maintenance scheme, and are sent to designated user by car fault diagnosis center;
Described vehicle-mounted data comprises: rotating speed, oil temperature, vehicle interior temperature, humidity, combustable gas concentration, tire pressure and accumulator electric-quantity; Described travel condition of vehicle information comprises: the real time data of each sensor, current network communication quality, data transmit-receive module node working condition and accumulator dump energy.
2. a kind of vehicle remote fault diagnosis system based on heterogeneous network according to claim 1, it is characterized in that, described fault diagnosis layer comprises vehicle electric case history query software, fault diagnosis layer receives the vehicle-mounted data that data transfer layer is uploaded, and adopts fault tree analysis analyze vehicle-mounted data and draw failure message; Vehicle electric case history query software is according to failure message enquiring vehicle Mishap Database determination diagnostic result and maintenance scheme; Diagnostic result and maintenance scheme are sent to designated user by short message mode by fault diagnosis layer.
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| CN201520752086.3U CN204965181U (en) | 2015-09-25 | 2015-09-25 | Long -range fault diagnostic of car based on heterogeneous network |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105204497A (en) * | 2015-09-25 | 2015-12-30 | 中国矿业大学 | Vehicle remote fault diagnosis system based on heterogeneous network |
| CN105843145A (en) * | 2016-05-06 | 2016-08-10 | 廖金能 | Power generator unit bluetooth data acquisition system and method |
| CN106970550A (en) * | 2016-01-13 | 2017-07-21 | 福特全球技术公司 | Vehicle subsystem communication arbitration |
| CN107102597A (en) * | 2016-02-23 | 2017-08-29 | 费斯托股份有限两合公司 | Safety-related control device and the method for running safety-related control device |
| CN108701267A (en) * | 2016-01-28 | 2018-10-23 | 横滨橡胶株式会社 | Tire uses service system and method |
| CN108717292A (en) * | 2018-05-29 | 2018-10-30 | 深圳市元征科技股份有限公司 | vehicle remote diagnosis method and device |
| CN109141898A (en) * | 2018-09-13 | 2019-01-04 | 湖北谊立舜达动力科技有限公司 | A kind of Diagnosis of Diesel Motor system based on Internet of Things |
| CN109347854A (en) * | 2018-11-08 | 2019-02-15 | 上海博泰悦臻网络技术服务有限公司 | Control method for vehicle, system and server based on cloud server |
| CN110097219A (en) * | 2019-04-19 | 2019-08-06 | 深圳市德塔防爆电动汽车有限公司 | A kind of electric vehicle O&M optimization method based on security tree model |
| CN113625695A (en) * | 2021-08-30 | 2021-11-09 | 重庆长安汽车股份有限公司 | Vehicle real-vehicle control function diagnosis method and system based on android service |
| CN114625111A (en) * | 2022-03-28 | 2022-06-14 | 北斗星通智联科技有限责任公司 | Vehicle state monitoring method and system |
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2015
- 2015-09-25 CN CN201520752086.3U patent/CN204965181U/en not_active Expired - Fee Related
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105204497A (en) * | 2015-09-25 | 2015-12-30 | 中国矿业大学 | Vehicle remote fault diagnosis system based on heterogeneous network |
| CN106970550B (en) * | 2016-01-13 | 2021-12-28 | 福特全球技术公司 | Vehicle subsystem communication arbitration |
| CN106970550A (en) * | 2016-01-13 | 2017-07-21 | 福特全球技术公司 | Vehicle subsystem communication arbitration |
| CN108701267B (en) * | 2016-01-28 | 2022-03-08 | 横滨橡胶株式会社 | Tire operating service system and method |
| CN108701267A (en) * | 2016-01-28 | 2018-10-23 | 横滨橡胶株式会社 | Tire uses service system and method |
| CN107102597A (en) * | 2016-02-23 | 2017-08-29 | 费斯托股份有限两合公司 | Safety-related control device and the method for running safety-related control device |
| WO2017190433A1 (en) * | 2016-05-06 | 2017-11-09 | 廖金能 | Bluetooth data collection system and method for generator set |
| CN105843145A (en) * | 2016-05-06 | 2016-08-10 | 廖金能 | Power generator unit bluetooth data acquisition system and method |
| CN108717292B (en) * | 2018-05-29 | 2021-04-30 | 深圳市元征科技股份有限公司 | Vehicle remote diagnosis method and device |
| CN108717292A (en) * | 2018-05-29 | 2018-10-30 | 深圳市元征科技股份有限公司 | vehicle remote diagnosis method and device |
| CN109141898A (en) * | 2018-09-13 | 2019-01-04 | 湖北谊立舜达动力科技有限公司 | A kind of Diagnosis of Diesel Motor system based on Internet of Things |
| CN109347854A (en) * | 2018-11-08 | 2019-02-15 | 上海博泰悦臻网络技术服务有限公司 | Control method for vehicle, system and server based on cloud server |
| CN110097219A (en) * | 2019-04-19 | 2019-08-06 | 深圳市德塔防爆电动汽车有限公司 | A kind of electric vehicle O&M optimization method based on security tree model |
| CN113625695A (en) * | 2021-08-30 | 2021-11-09 | 重庆长安汽车股份有限公司 | Vehicle real-vehicle control function diagnosis method and system based on android service |
| CN113625695B (en) * | 2021-08-30 | 2023-07-04 | 重庆长安汽车股份有限公司 | Vehicle control function diagnosis method and system based on android service |
| CN114625111A (en) * | 2022-03-28 | 2022-06-14 | 北斗星通智联科技有限责任公司 | Vehicle state monitoring method and system |
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