CN205910555U - Vehicle status foresees system based on thing networking - Google Patents
Vehicle status foresees system based on thing networking Download PDFInfo
- Publication number
- CN205910555U CN205910555U CN201620936849.4U CN201620936849U CN205910555U CN 205910555 U CN205910555 U CN 205910555U CN 201620936849 U CN201620936849 U CN 201620936849U CN 205910555 U CN205910555 U CN 205910555U
- Authority
- CN
- China
- Prior art keywords
- vehicle
- microcontroller
- network cloud
- signal
- communication module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Small-Scale Networks (AREA)
Abstract
The utility model discloses a vehicle status foresees system based on thing networking, this system of its characterized in that includes vehicle -mounted signal collection system, communication module, on -vehicle warning system, network cloud ware and network cloud database, vehicle -mounted signal collection system includes sensor, signal conditioning ware, OBD signal reading module and signal acquisition microcontroller, on -vehicle warning system is including warning microcontroller, display screen and speaker. This system not only can monitor the electronics trouble and the mechanical breakdown problem of automobile, can also handle to monitoring data classification and through the network and preserve, draws to be surveyed each parts of vehicle and use curve, gathers vehicle data, contrasts that each parts of this brand motorcycle type use curve under the big data, and each spare part of measurable automobile is user state and life under multiple operating mode, reminds the user to examine and repair the automobile in advance, changes related accessories, makes the strick precaution in advance, improves driving safety.
Description
Technical field
This utility model belongs to Condition Monitoring Technology field, specifically a kind of vehicle-state prediction system based on Internet of Things
System.
Background technology
With the development of automotive engineering, the application of automotive electronics and automobile construction all become increasingly complex, and give people to use vapour
While car offers convenience, many difficult problems are brought to automobile Quick overhaul.Vapour in the state of especially running at high speed
Car, once breaking down, can cause serious consequence.
Most of vehicle-state detection at present be all break down after just detected by onboard diagnostic system (obd), if
The catastrophic failure in high speed traveling, or when automobile breaks down around not do not rescue, even if detect fault also being difficult to
Solve problem.
In the Internet big data epoch, most of object that we are used can be connected by the Internet.This is just
The data of different types of magnanimity can be obtained, the data statisticss of these magnanimity are concluded, we just can therefrom find out certain
A little rules are come.And then some predictions and pre- judgement can be made according to these data.
Utility model content
For the deficiencies in the prior art, technical problem that this utility model intends to solve be to provide a kind of based on Internet of Things
Vehicle-state prognoses system.This system not only can monitor the electronic failure of automobile and mechanical breakdown problem moreover it is possible to monitoring number
Preserve according to classifying and by network processes, draw each part of tested vehicle and use curve, gather car data, under comparison big data
Each part of this brand vehicle uses curve, measurable automobile each parts use state and service life under various working,
Remind user maintenance automobile in advance, change related accessory, make strick precaution in advance, improve traffic safety.
It is pre- that the technical scheme of this utility model described technical problem of solution is to provide a kind of vehicle-state based on Internet of Things
Examining system is it is characterised in that this system includes cab signal acquisition system, communication module, vehicle-mounted caution system, network cloud service
Device and network cloud data base；Described cab signal acquisition system include sensor, signal conditioner, obd signal reading module and
Signals collecting microcontroller；Described vehicle-mounted caution system includes warning microcontroller, display screen and speaker；Described sensor and
Signal conditioner connects；The outfan of the outfan of described signal conditioner and obd signal reading module respectively with signals collecting
Microcontroller connects；Described signals collecting microcontroller is connected with the receiving terminal of communication module；The transmitting terminal of communication module and police
Show that microcontroller connects, warning microcontroller is connected with display screen and speaker respectively；Described communication module and network cloud service
Device wirelessly connects；Described network Cloud Server and network cloud data base wirelessly connect.
The chip model of obd signal reading module is et7190.
Signals collecting microcontroller and warning microcontroller are all using the single-chip microcomputer of msp430f5438a model.
Compared with prior art, this utility model has the beneficial effects that:
(1) automobile mechanical malfunction monitoring is combined with obd malfunction monitoring, comprehensive monitoring vehicle failure, such as to abs event
In barrier monitoring, obd system can only detect that abs Circuits System has fault-free, and mechanical Fault Monitoring of HV can be monitored abs driving and be sent
Malfunction, it is higher that both combine malfunction monitoring effect, improves safety concerns；
(2) vehicle failure monitoring is combined with Internet of Things, with the prediction of Internet of Things big data platform construction vehicle-state
System, trouble saving in advance；By network in network cloud server process fault data, detect with vehicle mounted failure and send fault
The mode of code compares, and this system data disposal ability is more rapid, more accurate, saves in-car hardware resource；
(3) automobile each part use state of various brands and model is collected by network cloud data base and draw various brands
The overall vehicle malfunction time graph of vehicle, the performance under statistical analysiss automobile different parts and different driving environment, real
When according to user environment predict parts service life, both improved the safety of car steering, improve parts again
Utilization rate.
Brief description
Fig. 1 is a kind of overall structure block diagram of embodiment of the vehicle-state prognoses system based on Internet of Things for this utility model；
Fig. 2 is the cab signal collection system based on a kind of embodiment of vehicle-state prognoses system of Internet of Things for this utility model
System structured flowchart；
Fig. 3 is the vehicle-mounted caution system knot based on a kind of embodiment of vehicle-state prognoses system of Internet of Things for this utility model
Structure block diagram；(in figure: 1, cab signal acquisition system；2nd, communication module；3rd, vehicle-mounted caution system；4th, network Cloud Server；5th, net
Network cloud data base；101st, sensor；102nd, signal conditioner；103rd, obd signal reading module；104th, signals collecting microcontroller
Device；301st, warn microcontroller；302nd, display screen；303rd, speaker)
Specific embodiment
Specific embodiment of the utility model is given below.Specific embodiment is only used for further describing this practicality newly
Type, does not limit the application scope of the claims.
This utility model provides a kind of vehicle-state prognoses system (referring to Fig. 1-3) based on Internet of Things, including vehicle-mounted
Signal acquiring system 1, communication module 2, vehicle-mounted caution system 3, network Cloud Server 4 and network cloud data base 5；Described vehicle-mounted letter
Number acquisition system 1, including sensor 101, signal conditioner 102, obd signal reading module 103 and signals collecting microcontroller
104；Described vehicle-mounted caution system 3 includes warning microcontroller 301, display screen 302 and speaker 303；
Described cab signal acquisition system 1 is used for directly gathering vehicle failure status signal；Sensor 101 and signal condition
Device 102 connects, and the machine performance of automobile can be monitored, for example, utilize signal conditioning circuit 102 to gather abs and drive valve
Mechanical fault signals；Described obd signal reading module 103, with et7190 chip as core, can read the information of obd system,
The obd state of automobile is monitored；The outfan of signal conditioner 102 and the signal output part of obd signal reading module 103
It is connected with signals collecting microcontroller 104 respectively, signals collecting microcontroller 104 is used for gathering machine performance and the obd of automobile
The signal of state, and the signal transmission collecting to communication module 2, signals collecting microcontroller 104 is connect with communication module 2
Receiving end connects；
Described communication module 2 adopts usr-g402tf-lcc the whole network to lead to 4g wireless communication technique, communication module 2 and network cloud
Server 4 wirelessly connects, and to realize gathering signal data upload, the reception of diagnosis and prediction data；Communication module 2 receives network
Vehicle condition information of forecasting after Cloud Server 4 process, is sent to warning microcontroller 301, and warning microcontroller 301 passes through string
Mouth is sent to display screen 302, connects speaker 303 by common io mouth, to send audio alarm；
Network Cloud Server 4 and network cloud data base 5 are wirelessly connected by high-speed radio interconnection technique, network Cloud Server
4 receive vehicle condition information from communication module 2, carry out analytical calculation after decoding, obtain Current vehicle malfunction time graph,
Current vehicle fault status information is stored in network cloud data base 5, and derives this vehicle overall vehicle event that big data counts
Barrier state for time curve, through dtw algorithm matching and current vehicle failure state for time curve comparison, predicts time of failure.
Described signals collecting microcontroller 104 and warning microcontroller 301 are all using msp430f5438a single-chip microcomputer.This is single
In addition to the characteristic with super low-power consumption, configuration module also has piece machine: up to four common serial communication interfaces (usci), three
16 bit timing devices, 12 adc of a high-performance, hardware multiplier, dma, there is the rtc module and up to 87 of warning function
Individual i/o pin, can meet the requirement of design of the present utility model.
The operation principle based on the vehicle-state prognoses system of Internet of Things for this utility model and workflow are: sensor
101 and signal conditioner 102 machine performance of automobile is monitored；By the obd shape to automobile for the obd signal reading module 103
State is monitored.Machine performance monitoring and obd status monitoring signal send signals collecting through different serial ports to the data of collection
Microcontroller 104；Signals collecting microcontroller 104 adds different frame heads to two kinds of data, is then sent to from another serial ports
Communication module 2；Data is sent to network Cloud Server 4 in real time by communication module 2；Network Cloud Server 4 and network cloud data
Storehouse 5 is wirelessly connected by high-speed radio interconnection technique, and network Cloud Server 4 receives vehicle condition information, decoding from communication module 2
After carry out analytical calculation, obtain Current vehicle malfunction time graph, Current vehicle fault status information be stored in network cloud
Data base, and derive this vehicle overall vehicle malfunction time graph that big data counts, through dtw algorithm matching and currently
Vehicle failure state for time curve comparison, predicts time of failure.If prediction is out of order, network Cloud Server 4 not only can
The position that will break down or functional area, infer that the information such as damaged parts, prediction time of origin are sent to vapour in advance
In the communication module 2 of car, also can be sent to automobile in the way of note is reminded and reserve cell-phone number, also can be checked by mobile phone app；
After communication module 2 receives network Cloud Server 4 failure predication information, trigger vehicle-mounted caution system 3 and start working, warn micro-control
The presentation of information of the communication module 2 of 301 receptions of device processed reminds car owner to examine in time in display screen 302, simultaneously triggering speaker 303
Auto repair.
This utility model is not addressed part and is applied to prior art.
Claims (3)
1. a kind of vehicle-state prognoses system based on Internet of Things it is characterised in that this system include cab signal acquisition system,
Communication module, vehicle-mounted caution system, network Cloud Server and network cloud data base；Described cab signal acquisition system includes sensing
Device, signal conditioner, obd signal reading module and signals collecting microcontroller；Described vehicle-mounted caution system includes warning micro-control
Device processed, display screen and speaker；Described sensor and signal conditioner connect；The outfan of described signal conditioner and obd letter
The outfan of number read module is connected with signals collecting microcontroller respectively；Described signals collecting microcontroller and communication module
Receiving terminal connects；The transmitting terminal of communication module is connected with warning microcontroller, warn microcontroller respectively with display screen and raising one's voice
Device connects；Described communication module is wirelessly connected with network Cloud Server；Described network Cloud Server and network cloud data base are wireless
Connect.
2. the vehicle-state prognoses system based on Internet of Things according to claim 1 is it is characterised in that obd signal-obtaining mould
The chip model of block is et7190.
3. the vehicle-state prognoses system based on Internet of Things according to claim 1 is it is characterised in that signals collecting micro-control
Device processed and warning microcontroller are all using the single-chip microcomputer of msp430f5438a model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620936849.4U CN205910555U (en) | 2016-08-24 | 2016-08-24 | Vehicle status foresees system based on thing networking |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620936849.4U CN205910555U (en) | 2016-08-24 | 2016-08-24 | Vehicle status foresees system based on thing networking |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205910555U true CN205910555U (en) | 2017-01-25 |
Family
ID=57802236
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620936849.4U Active CN205910555U (en) | 2016-08-24 | 2016-08-24 | Vehicle status foresees system based on thing networking |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN205910555U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108040326A (en) * | 2017-12-08 | 2018-05-15 | 中国汽车技术研究中心 | A kind of vehicle data wireless interaction harvester |
| CN110210182A (en) * | 2019-07-05 | 2019-09-06 | 哈尔滨工业大学 | A kind of relay life predictive information acquisition system based on Internet of Things |
| CN113448301A (en) * | 2020-03-26 | 2021-09-28 | 联合汽车电子有限公司 | Fault diagnosis method and system based on OBD system |
-
2016
- 2016-08-24 CN CN201620936849.4U patent/CN205910555U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108040326A (en) * | 2017-12-08 | 2018-05-15 | 中国汽车技术研究中心 | A kind of vehicle data wireless interaction harvester |
| CN110210182A (en) * | 2019-07-05 | 2019-09-06 | 哈尔滨工业大学 | A kind of relay life predictive information acquisition system based on Internet of Things |
| CN113448301A (en) * | 2020-03-26 | 2021-09-28 | 联合汽车电子有限公司 | Fault diagnosis method and system based on OBD system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202486858U (en) | Vehicle-mounted system for intelligent diagnosis and analysis of driving behavior | |
| CN104122100B (en) | Intelligent driving diagnosis system | |
| CN204719530U (en) | A kind of integrated OBD car working application system | |
| CN103863220B (en) | The monitoring method of vehicle data and system | |
| CN102208125B (en) | Fatigue driving monitoring system and method thereof | |
| CN104290684A (en) | Car networking system for automobile and safety monitoring method | |
| CN205910555U (en) | Vehicle status foresees system based on thing networking | |
| CN202472410U (en) | Automobile OBD fault diagnostic device based on wireless technology | |
| CN202600478U (en) | Vehicle remote data collection and diagnosis system | |
| CN105959021A (en) | Vehicle-mounted diagnosis processing method and terminal based on wearable equipment | |
| CN106394446B (en) | A kind of novel body control system and control method | |
| CN102735803A (en) | Motor vehicle tail gas on-line monitoring system | |
| CN205899372U (en) | Take on -vehicle OBD device of monitor | |
| CN202093586U (en) | Remote monitoring system for vehicle running state | |
| CN110849411A (en) | Internet of vehicles server, vehicle and vehicle condition evaluation method based on driving oil consumption data | |
| CN104616462A (en) | Internet based vehicle failure warning system | |
| CN205158121U (en) | Intelligent vehicle -mounted terminal | |
| CN104360678A (en) | Remote vehicle fault diagnosis system | |
| CN108961683A (en) | A kind of fatigue driving determining device and its application method | |
| CN206383753U (en) | A kind of tire pressure receives controller | |
| CN106004932A (en) | Monitoring system of railway vehicle anti-slipping equipment | |
| CN205405809U (en) | Driver fatigue detection alarm system based on intelligence wrist -watch | |
| CN205264009U (en) | Vehicle safety precaution device | |
| CN204883870U (en) | Driving safety reminds system | |
| CN203318322U (en) | System for collecting automobile acceleration and mileage and reminding driver |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |