Real-time monitoring system of road thermal imager

文档序号:206989 发布日期:2021-11-05 浏览:17次 中文

阅读说明:本技术 一种道路热像仪实时监测系统 (Real-time monitoring system of road thermal imager ) 是由 孙环斌 孙坚 任国勇 吴银海 于 2021-07-19 设计创作,主要内容包括:本发明公开了一种道路热像仪实时监测系统,包括高精度摄像机、热像仪、交换机、收发器、通讯网络、服务器、检测模块、显示模块和语音模块,高精度摄像机和热像仪与交换机连接,交换机与收发器连接,收发器与通讯网络连接,通讯网络与服务器连接,服务器与检测模块连接,检测模块与显示模块和语音模块连接。该道路热像仪实时监测系统,采用了高精度摄像机和热像仪,高精度摄像机会实拍摄道路状况,热像仪可以实时反馈路面温度,及时反馈路面信息,当路面温度过高时,及时降温对路面进行保护,采用主机训练好的BP神经网络进行数据处理,得到基本的路面信息,比如路面裂缝、路面起伏等,方便参与检测的人员及时了解路面情况并进行后续处理。(The invention discloses a real-time monitoring system of a road thermal imager, which comprises a high-precision camera, a thermal imager, a switch, a transceiver, a communication network, a server, a detection module, a display module and a voice module, wherein the high-precision camera and the thermal imager are connected with the switch, the switch is connected with the transceiver, the transceiver is connected with the communication network, the communication network is connected with the server, the server is connected with the detection module, and the detection module is connected with the display module and the voice module. This real-time monitoring system of road thermal imaging system has adopted high accuracy camera and thermal imaging system, and the road situation can be shot in fact to the high accuracy camera, and the thermal imaging system can real-time feedback road surface temperature, and timely feedback road surface information, when the road surface temperature was too high, in time the cooling protected the road surface, adopts the good BP neural network of host computer training to carry out data processing, obtains basic road surface information, for example road surface crack, road surface fluctuation etc. the personnel that conveniently participate in the detection in time know the road surface condition and carry out subsequent processing.)

1. The utility model provides a road thermal imaging system real-time monitoring system, includes high accuracy camera, thermal imaging system, switch, transceiver, communication network, server, detection module, display module and voice module, its characterized in that: the high-precision camera and the thermal imager are connected with a switch, the switch is connected with a transceiver, the transceiver is connected with a communication network, the communication network is connected with a server, the server is connected with a detection module, and the detection module is connected with a display module and a voice module.

2. The real-time monitoring system for the road thermal imager according to claim 1, characterized in that: the high-precision camera and the thermal imager are information acquisition equipment, the high-precision camera forms a video signal, the thermal imager forms an image signal, the two signals enter a communication network through the switch and the transceiver, the communication network is transmitted to the server, the server collects the signals and transmits data to the host, the host performs comprehensive analysis on the road surface signals to construct a neural network, the host performs self-learning judgment, the server transmits the signals to the detection module, the detection module performs detection analysis on the signals, and analysis results are fed back to the display module and the voice module.

3. The real-time monitoring system for the road thermal imager according to claim 2, characterized in that: the server comprises a database server, an application server and a receiving and sending server, wherein the receiving and sending server is used for receiving signals uploaded in a communication network, the application server responds to road information to generate and forward alarm information, and the database server is used for storing road parameters collected by the information collecting equipment and used for later-stage examination.

4. The real-time monitoring system for the road thermal imager according to claim 3, characterized in that: the detection module include vehicle detection module, road surface temperature detection module, road surface noise detection module, video detection module and dust concentration detection module, vehicle detection module detect road surface vehicle mobile data and send it to display module and voice module, road surface temperature detection module cooperation thermal imager discernment road surface temperature and with road surface temperature feedback to display module, warn constructor through voice module when the high temperature and cool down the road surface, road surface noise detection module, video detection module and dust concentration detection module all belong to the detection to road surrounding environment to with relevant road surface noise, the peripheral condition in road surface and dust concentration feed back to display module and voice module in real time, in time spray the periphery when the dust is too high, reduce dust concentration.

5. The real-time monitoring system for the road thermal imager according to claim 4, characterized in that: the host machine can segment and number the waveform data and calculate the average amplitude and the average frequency of each segment of waveform data; constructing and training a BP neural network to obtain the relation between waveform data and the road surface condition; and inputting the new road waveform data into the trained BP neural network to obtain the corresponding road surface condition.

6. The real-time monitoring system for the road thermal imager according to claim 5, characterized in that: the display module and the voice module are integrated on the mobile terminal, the mobile terminal displays the detection result of the detection module in real time, and field workers are timely notified to process the road surface condition through display and voice.

Technical Field

The invention relates to the technical field of urban road management, in particular to a real-time monitoring system of a road thermal imager.

Background

Road engineering refers to the whole process of planning, designing, constructing, maintaining and managing work performed by taking a road as an object and the engineering entity engaged in the whole process. Road works, like civil engineering of any other gate type, have obvious technical, economic and regulatory aspects. In recent years, the modern construction in China is rapidly developed, the scale of infrastructure networks is in the forefront of the world, the road maintenance management work is increasingly important along with the continuous increase of road mileage, and the rapid detection and evaluation of the road technical condition become the central importance of the road scientific maintenance work.

Traditional road detection mode is mostly artifical the detection, and the measurement personnel need be at outdoor work for a long time, gathers road information and manual the record, after the detection achievement of accomplishing one section road, by the special messenger with relevant data entry computer, carry out the analysis again and obtain this section road testing result. At present, a semi-automatic road detection mode is provided, a detector holds a road detector for road detection, information in the road detector is collected subsequently for analysis, then the detector is held manually, and the existing semi-automatic equipment cannot detect the road state all day long. Therefore, a real-time monitoring system for road thermal imagers is needed.

Disclosure of Invention

The invention aims to provide a real-time monitoring system of a thermal road imager, which aims to solve the problems that in the background technology, a semi-automatic road detection mode is provided, a detector holds a road detector by hand for road detection, then information in the road detector is collected for analysis, then the detector is held by hand for manual operation, and the existing semi-automatic equipment cannot detect the road state all day long.

In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a road thermal imager real-time monitoring system, includes high accuracy camera, thermal imager, switch, transceiver, communication network, server, detection module, display module and voice module, high accuracy camera and thermal imager be connected with the switch, the switch be connected with the transceiver, transceiver and communication network be connected, communication network be connected with the server, the server be connected with detection module, detection module be connected with display module and voice module.

Preferably, the high-precision camera and the thermal imager are information acquisition equipment, the high-precision camera forms a video signal, the thermal imager forms an image signal, the two signals enter a communication network through the switch and the transceiver, the communication network is transmitted to the server, the server collects the signals and transmits data to the host, the host performs comprehensive analysis on the road surface signals to construct a neural network, the host performs self-learning judgment, the server transmits the signals to the detection module, the detection module performs detection analysis on the signals, and analysis results are fed back to the display module and the voice module.

Preferably, the server comprises a database server, an application server and a transceiver server, wherein the transceiver server is used for receiving signals uploaded in the communication network, the application server generates and forwards alarm information in response to road information, and the database server is used for storing road parameters acquired by the information acquisition equipment for later inspection.

Preferably, the detection module include vehicle detection module, road surface temperature detection module, road surface noise detection module, video detection module and dust concentration detection module, vehicle detection module detect road surface vehicle mobile data and send it to display module and voice module, road surface temperature detection module cooperation thermal imaging system discernment road surface temperature and feed back road surface temperature to display module, warn constructor through voice module when the high temperature and cool down to the road surface, road surface noise detection module, video detection module and dust concentration detection module all belong to the detection to road surrounding environment to with relevant road surface noise, the peripheral condition of road surface and dust concentration feed back to display module and voice module in real time, in time spray to the periphery when the dust is too high, reduce dust concentration.

Preferably, the host machine segments and numbers the waveform data, and calculates the average amplitude and average frequency of each segment of waveform data; constructing and training a BP neural network to obtain the relation between waveform data and the road surface condition; and inputting the new road waveform data into the trained BP neural network to obtain the corresponding road surface condition.

Preferably, the display module and the voice module are integrated in the mobile terminal, the mobile terminal displays the detection result of the detection module in real time, and field workers are timely notified to process the road surface condition in time through display and voice.

Compared with the prior art, the invention has the beneficial effects that: the road thermal imager real-time monitoring system adopts a high-precision camera and a thermal imager, the high-precision camera can shoot road conditions in real time, the thermal imager can feed back road surface temperature in real time and feed back road surface information in time, when the road surface temperature is overhigh, the temperature is reduced in time to protect the road surface, a BP neural network trained by a host is adopted for data processing to obtain basic road surface information such as road surface cracks, road surface undulations and the like, and the personnel participating in detection can know the road surface condition in time and carry out subsequent processing conveniently, meanwhile, the method can avoid manual calculation cost and reduce data analysis errors, a detection module is adopted, the vehicle flow quantity of a construction road is detected by the vehicle detection module, the time period with the minimum vehicle flow quantity is selected as the optimal construction time for road construction, and the environment information of the construction road is detected in real time by environment detection during road construction, and timely feeds back the information to the mobile terminal to timely inform engineering personnel of processing.

Drawings

FIG. 1 is a diagram of the overall architecture of the system of the present invention;

FIG. 2 is a block diagram of a detection module of the system of the present invention;

FIG. 3 is a flow chart of the operation of the system of the present invention;

FIG. 4 is a diagram of a server structure of the system of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.

Referring to fig. 1-4, the present invention provides an embodiment: a real-time monitoring system of a road thermal imager comprises a high-precision camera, a thermal imager, a switch, a transceiver, a communication network, a server, a detection module, a display module and a voice module, wherein the high-precision camera and the thermal imager are connected with the switch, the switch is connected with the transceiver, the transceiver is connected with the communication network, the communication network is connected with the server, the server is connected with the detection module, and the detection module is connected with the display module and the voice module.

Furthermore, the high-precision camera and the thermal imager are information acquisition equipment, the high-precision camera can shoot road conditions in real time, the thermal imager can feed back the temperature of the road surface in real time, the high-precision camera forms video signals, the thermal imager forms image signals, the two signals pass through the switch and the transceiver, the transceiver is an optical fiber transceiver and enters a communication network, the communication network transmits the signals to the server, the server acquires the signals and transmits the data to the host, the host performs comprehensive analysis on the road surface signals to construct a neural network, the host performs self-learning judgment, the server transmits the signals to the detection module, the detection module performs detection analysis on the signals, and analysis results are fed back to the display module and the voice module.

Further, the server comprises a database server, an application server and a receiving and sending server, wherein the receiving and sending server is used for receiving the signals uploaded in the communication network, the application server is used for responding to the road information to generate and forward alarm information, and the database server is used for storing the road parameters collected by the information collecting equipment for later-stage inspection.

Further, the detection module include vehicle detection module, road surface temperature detection module, road surface noise detection module, video detection module and dust concentration detection module, vehicle detection module detects road surface vehicle flow data and sends it to display module and voice module, road surface temperature detection module cooperation thermal imager discernment road surface temperature and with road surface temperature feedback to display module, warn constructor to cool down the road surface through voice module when the temperature is too high, road surface noise detection module, video detection module and dust concentration detection module all belong to the detection to road surrounding environment, and with relevant road surface noise, road surface surrounding situation and dust concentration feed back to display module and voice module in real time, in time spray to the periphery when the dust is too high, reduce dust concentration.

Further, the host machine can segment and number the waveform data, and calculate the average amplitude and average frequency of each segment of waveform data; constructing and training a BP neural network to obtain the relation between waveform data and the road surface condition; and inputting new road waveform data into the trained BP neural network to obtain the corresponding road condition, so that personnel participating in detection can know the road condition in time and perform subsequent processing conveniently.

Furthermore, the display module and the voice module are integrated on the mobile terminal, the mobile terminal displays the detection result of the detection module in real time, and field workers are timely notified to process the road surface condition in time through display and voice.

The working principle is as follows: the method comprises the steps of shooting road conditions in real time through a high-precision camera and a thermal imager, feeding back road surface temperature in real time through the thermal imager, feeding back road surface information to a communication network in real time, transmitting the road surface information to a server through the communication network, uploading the road surface information to a host through the server, timely cooling to protect the road surface when the road surface temperature is overhigh, then carrying out data processing through a BP neural network trained by the host to obtain basic road surface information such as road surface cracks, road surface undulations and the like, facilitating detection personnel to know the road surface condition in time and carry out subsequent processing, avoiding manual calculation cost, reducing data analysis errors, finally detecting the vehicle flow amount of a construction road through a detection module and a vehicle detection module, selecting a time period with the minimum vehicle flow amount as the optimal construction time to carry out road construction, and during road construction, the environmental information of the construction road is detected in real time through environmental detection, and is timely fed back to the mobile terminal to timely inform engineering personnel of processing.

Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes in the embodiments and/or modifications of the invention can be made, and equivalents and modifications of some features of the invention can be made without departing from the spirit and scope of the invention.

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