CN204833707U - Traffic thing networking geographic information characteristic points cluster system - Google Patents
Traffic thing networking geographic information characteristic points cluster system Download PDFInfo
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- CN204833707U CN204833707U CN201520628420.4U CN201520628420U CN204833707U CN 204833707 U CN204833707 U CN 204833707U CN 201520628420 U CN201520628420 U CN 201520628420U CN 204833707 U CN204833707 U CN 204833707U
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Abstract
The utility model discloses a traffic thing networking geographic information characteristic points cluster system, including integrated system controller, serial port, memory, network module, multi body position fixing module, collection module and input and output modules, the integrated system controller be connected with serial port, memory, network module, multi body position fixing module, collection module, input and output modules and display respectively. The utility model discloses an adopt internet of things, the whole characteristic points information of automatic recording when the traffic move is bound with big dipper positional information and is formed road network inertia characteristic, and it forms big data message to combine together with the backend server GIS system, realizes the cluster analysis of characteristic points, provides the thing accurate service of intelligent information of networking for traffic, commodity circulation, transportation etc..
Description
Technical field
The utility model relates to wireless communication technique and sensing technology, by binding the collection of characteristic point information and real-time position information in vehicle travel process, form the large data clusters of GIS unique point, for field of traffic provides accurate characteristic point position service, be specifically related to traffic Internet of Things geography information feature points clustering system.
Background technology
Traffic is complicated and changeable, and cyberdog on the market can only realize the detection of part traffic monitoring facilities, cannot road pavement special circumstances such as bridge, hollow, bend, fixing barrier etc. carry out detecting and early warning.Internet of Things intelligent transportation will realize comprehensive bus or train route and work in coordination with, and top priority is exactly to complete the comprehensive detection to running environment, precisely can keep away barrier in time by guided vehicle.
Traffic characteristic point refers in particular to the means of transportation that trackside video monitoring camera, traffic lights, ETC, trackside sensing equipment etc. are artificially installed, and the road surface characteristic such as bridge, hollow, bend, fixing barrier, refuelling station.When vehicle drives near these unique points, special inertia behaviors such as often having deceleration, brake, keep to the side to travel, combines unique point with inertia behavior, and in the enterprising row labels of GIS map, can morphogenesis characters point cluster, there is intelligence greatly to help to the field such as traffic, logistics.And car-mounted terminal on the market or system are all without realizing this function.
Summary of the invention
The purpose of this utility model is for the deficiencies in the prior art, provide the traffic Internet of Things geography information feature points clustering system that a kind of integration is high, esy to use, safe and reliable, the large data message of traffic characteristic point can be demarcated, for the field such as traffic, logistics provides Internet of Things intelligent information precisely to serve in GIS map.
To achieve these goals, the utility model have employed following technical scheme:
Traffic Internet of Things geography information feature points clustering system, comprises integrated system controller, serial port, storer, mixed-media network modules mixed-media, multiple satellite location module, acquisition module and input/output module; Described integrated system controller is connected with display with serial port, storer, mixed-media network modules mixed-media, multiple satellite location module, acquisition module, input/output module respectively; It is characterized in that:
Described integrated system controller adopts technical grade arm processor;
Described serial port comprises USB interface and RS-485 interface;
Described storer comprises the RAM of at least 2G capacity and the built-in flash storage of at least 128GB capacity;
Described mixed-media network modules mixed-media supports GPRS/3G/4G/ bluetooth/WIFI;
Described multiple satellite location module adopts the satellite navigation positioning chip supporting the Big Dipper/GPS/GLONASS;
Described acquisition module comprises high-precision gravity sensor, electric power compass, barometer, acceleration transducer, light sensor, proximity transducer, gyroscope and RFID read-write module;
Described input/output module comprises display, front-facing camera, loudspeaker, microphone and earphone interface.
Further illustrate, the brake sensor data that described multiple satellite location module is had by oneself with vehicle is connected.
Further illustrate, described display adopts touch capacitance plate; Described front-facing camera is at least 5,000,000 pixels.
The utility model carries out system update upgrading, plant maintenance etc. by serial port and mixed-media network modules mixed-media.
Described RS-485 interface provides the access of external video, audio frequency, oil consumption and the sensor such as oil mass, humiture.
Described reservoir is for storing GIS off-line data, characters of ground object dot information, and other location coordinate informations etc.
Described multiple satellite location module is by carrying out data cube computation with braking sensor, and record on-position, transition stage etc., in conjunction with unique point essential information and positional information, form road network inertia characteristics.
Described acquisition module is for detecting trackside video monitoring camera, traffic lights, ETC, and trackside sensing equipment.When the unique point of system equipment being detected, bind with the positional information of multiple satellite location CMOS macro cell, and automatically in GIS map, mark unique point and other relevant informations are set, also can by user's hand labeled and setting.
Described display is used for information displaying, characteristic point information and chooses and input, and the accurate Visualization Service of Internet of Things intelligent information such as traffic is logical, logistics, transport.
Compared with prior art, the utility model has the advantage of and road network unique point and vehicle can be combined in the inertia behavior that this unique point is taked and be recorded in GIS map, by analyses such as clusters, for the field such as traffic, logistics provides intelligent position service accurately.
Accompanying drawing explanation
Fig. 1 is structural framing schematic diagram of the present utility model;
Fig. 2 is outward appearance front view (FV) of the present utility model;
Fig. 3 is exterior sideview figure of the present utility model.
Numeral and the corresponding component title represented by letter in figure:
1, front-facing camera 2, loudspeaker 3, return key 4, loudspeaker 5, collection key 6, Menu key 7, acknowledgement key 8, power switch 9, microphone 10, earphone interface 11, Mini type usb 12, memory card interface 13, SIM card slot.
Embodiment
Below in conjunction with drawings and Examples, the utility model is further illustrated, but protection domain of the present utility model is not limited to following examples.
Embodiment:
Shown in Figure 1, traffic Internet of Things geography information feature points clustering system, comprises integrated system controller, serial port, storer, mixed-media network modules mixed-media, multiple satellite location module, acquisition module and input/output module; Described integrated system controller is connected with display with serial port, storer, mixed-media network modules mixed-media, multiple satellite location module, acquisition module, input/output module respectively.
The utility model adopts vehicular working method, during image data, vehicle is along road driving, system senses the transit equipment such as video monitoring camera, traffic lights, ETC, trackside sensing equipment on the way by acquisition module, and road surface special status is as gap bridge, hollow, bend etc., now multiple satellite location module records the travel conditions and brake condition etc. of vehicle as the inertia behavior at this unique point place, unique point essential information, vehicle inertia behavior and positional information are herein bound by system, and correspondence position marks in GIS map.If passengers inside the car find unique point, also by collection key collected by hand characteristic point information of the present utility model, now can trigger multiple satellite location module and obtain vehicle running state information and positional information, complete and gather and mark.After road network is repeatedly gathered, the large data of traffic Internet of Things geography information unique point will be formed, carry out cluster analysis accordingly, and intelligent characteristic point can be provided precisely to serve for fields such as traffic, logistics, transports.
Fundamental performance parameter of the present utility model sees attached list 1.
Subordinate list 1
Claims (3)
1. traffic Internet of Things geography information feature points clustering system, comprises integrated system controller, serial port, storer, mixed-media network modules mixed-media, multiple satellite location module, acquisition module and input/output module; Described integrated system controller is connected with display with serial port, storer, mixed-media network modules mixed-media, multiple satellite location module, acquisition module, input/output module respectively; It is characterized in that:
Described integrated system controller adopts technical grade arm processor;
Described serial port comprises USB interface and RS-485 interface;
Described storer comprises the RAM of at least 2G capacity and the built-in flash storage of at least 128GB capacity;
Described mixed-media network modules mixed-media supports GPRS/3G/4G/ bluetooth/WIFI;
Described multiple satellite location module adopts the satellite navigation positioning chip supporting the Big Dipper/GPS/GLONASS;
Described acquisition module comprises high-precision gravity sensor, electric power compass, barometer, acceleration transducer, light sensor, proximity transducer, gyroscope and RFID read-write module;
Described input/output module comprises display, front-facing camera, loudspeaker, microphone and earphone interface.
2. traffic Internet of Things geography information feature points clustering system according to claim 1, is characterized in that: the brake sensor data that described multiple satellite location module is had by oneself with vehicle is connected.
3. traffic Internet of Things geography information feature points clustering system according to claim 1, is characterized in that:
Described display adopts touch capacitance plate;
Described front-facing camera is at least 5,000,000 pixels.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520628420.4U CN204833707U (en) | 2015-08-20 | 2015-08-20 | Traffic thing networking geographic information characteristic points cluster system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520628420.4U CN204833707U (en) | 2015-08-20 | 2015-08-20 | Traffic thing networking geographic information characteristic points cluster system |
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| CN204833707U true CN204833707U (en) | 2015-12-02 |
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| CN201520628420.4U Active CN204833707U (en) | 2015-08-20 | 2015-08-20 | Traffic thing networking geographic information characteristic points cluster system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222761A (en) * | 2019-05-31 | 2019-09-10 | 中国民航大学 | Indoor locating system and indoor orientation method based on digital terrestrial reference map |
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2015
- 2015-08-20 CN CN201520628420.4U patent/CN204833707U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110222761A (en) * | 2019-05-31 | 2019-09-10 | 中国民航大学 | Indoor locating system and indoor orientation method based on digital terrestrial reference map |
| CN110222761B (en) * | 2019-05-31 | 2023-01-17 | 中国民航大学 | Indoor positioning system and indoor positioning method based on digital landmark map |
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