Summary of the invention
The object of this invention is to provide a kind of illumination monitoring system based on imaging identification and implementation method.
Based on an illumination monitoring system for imaging identification, include:
Supervising device, described supervising device is that described supervising device is provided with camera head, coding recognition device, signal prior-warning device, data processing equipment for being arranged on monitoring on lighting installation device and early warning structure.
Camera head wherein, it is the shooting structure for taking surface conditions, road surface periphery situation, traffic status.
Coding recognition device wherein, it is for by following coding layout module, arranges the identification code of the described lighting installation device that corresponding described coding recognition device is placed, indicates the structure of described camera head.
Signal prior-warning device wherein, it is for the instruction by following data early warning module, sends the structure of early warning signal.
Data processing equipment wherein, it is for the structure of carrying out data interaction between following data processing module.
Service terminal, described server terminal is for receiving the modular structure with processing information data, and described service terminal is provided with data processing module, coding layout module, data analysis module, level threshold value module, data early warning module.
Data processing module wherein, it is the information data for receiving after supervising device collection, carries out the structure of data interaction with above-mentioned data processing equipment.
Data analysis module wherein, it is for receiving the data after by above-mentioned data processing module process, and with at least one supervising device, as collection source, to the data analysis after described process, draws the structure that predicted data is moved towards.
Level threshold value module wherein, it is analysis result for being drawn by above-mentioned data analysis module and predicted data trend, compares, obtain comparative result with the benchmark database of its foundation, according to described comparative result, instruct the structure of following data early warning module work.
Data early warning module wherein, it is the early warning instruction for receiving above-mentioned level threshold value module, instructs above-mentioned signal prior-warning device to send the structure of early warning signal.
Coding layout module wherein, it is the structure for carrying out code identification to the supervising device be arranged on each lighting installation.
Further, the described illumination monitoring system based on imaging identification, also includes following technical characteristic:
Described data analysis module also comprises with the cumulative variations of time factor, steric factor, the object consumption factor, judge road parameter, accumulative effect analysis submodule that peripheral facility arranges stack loss, and for judging the burst effect analysis submodule of sudden human accident and Sudden Natural Disasters seriousness.
Described level threshold value module also includes with the cumulative variations of time factor, steric factor, the object consumption factor, set up and stack loss benchmark is arranged to road parameter, peripheral facility, give the accumulative threshold value submodule of above-mentioned accumulative effect analysis submodule reference, and for setting up sudden human accident and Sudden Natural Disasters seriousness benchmark, give the burst threshold submodule of burst effect analysis submodule reference.
Described coding layout module also includes according to lighting installation location, periphery mark, the network address and rules of arrangement the naming rule submodule being arranged on supervising device identification code described in lighting installation.
Described data early warning module, also include according to data analysis remittance the long and in above-mentioned data analysis module, important information data are carried out regular classification, the early warning rule submodule of modes of warning and signalization prior-warning device is correlated with, and for connecting public network port, gather according to data analysis in above-mentioned data analysis module, issue the public network early warning submodule of early warning instruction.
Audible alerts structure, color alerts structure, the light warning structure three at least one of the modes of warning for performing the setting of aforementioned early warning rule submodule is also provided with in described signal prior-warning device.
Another object of the present invention is to provide the described implementation method based on the illumination monitoring system of imaging identification, and the method includes following steps:
Step 1, lighting installation arranges supervising device;
Step 2, carries out identification code layout to each supervising device in step 1;
Step 3, described supervising device is taken the surface conditions of periphery, road surface periphery situation, traffic status, is gathered;
Step 4, service terminal, to the data analysis collected in step 3, draws analysis result and predicted data trend, and show that early warning indicates according to level threshold value;
Step 5, according to the early warning instruction obtained in step 4, instructs supervising device to make corresponding early warning signal.
Further, the implementation method of the described illumination monitoring system based on imaging identification, also includes following technical characteristic:
In step 3, described level threshold value includes with the cumulative variations of time factor, steric factor, the object consumption factor, set up accumulative threshold value road parameter, peripheral facility being arranged to stack loss benchmark, and to sudden human accident and Sudden Natural Disasters seriousness benchmark, the burst threshold of foundation.
In steps of 5, described early warning instruction can be issued by public network port.
In steps of 5, described supervising device is provided with audible alerts structure, color alerts structure, the light warning structure three at least one for performing aforementioned early warning instruction.
The invention has the advantages that: this illumination monitoring system based on imaging identification of the present invention and implementation method, can according to the network address of illumination monitoring, illumination monitor camera device is conducted interviews, the situation at real-time monitoring objective scene, and to image document real-time edition, storage, prediction, can also can be monitored peripheral facility by camera head simultaneously.Can realize giving warning in advance under sudden human accident and Sudden Natural Disasters situation, and early warning is distributed to public network system, data can be submitted on public network service device under special circumstances, guarantee that system data can better utilize.This system can be the communal facility such as park, highway maintainer, brings great convenience when carrying out the facility maintenance such as park, highway, the place of the particularly remote inconvenience management in mountain area.
Embodiment
Referring to accompanying drawing, in conjunction with specific embodiment, the present invention is described further.
The explanation of Fig. 1:
Shown in ginseng Fig. 1, illustrate the main functional modules structure of the illumination monitoring system 100 based on imaging identification, this system 100 comprises, supervising device 200 and service terminal 300, described supervising device 200 is for being arranged on monitoring on lighting installation device and early warning structure, described supervising device 200, is provided with camera head 210, coding recognition device 220, signal prior-warning device 230, data processing equipment 240.
Wherein, camera head 210, it is the shooting structure for taking surface conditions, road surface periphery situation, traffic status, described camera head 210 selects IP Camera or video camera usually, by this camera head 210 road pavement situation, road surface periphery plant or vehicle and burst accident, weather condition carries out taking, gathering, and instant for the data collected is sent to service terminal 300.
Wherein, coding recognition device 220, it is for by following coding layout module 350, the identification code of the described lighting installation device that corresponding coding recognition device is placed is set, indicate the structure of camera head 210, be used for carrying out uniquely identified structure to each supervising device 200 be arranged on network, namely only have unique network address in each supervising device 200 network, this network address can be the home address of IP address or other rule names.
Wherein, signal prior-warning device 230, it is for the instruction by following data early warning module 340, send the structure of early warning signal, when data early warning module 340 draws the information needing to report to the police, will by the audible alerts structure 231 in signal prior-warning device 230, color alerts structure 232, light warning structure 233 three at least one makes alarm signal.
Wherein, data processing equipment 240, it is for the structure of carrying out data interaction between following data processing module 310.
Service terminal 300, it is for receiving the modular structure with processing information data, and described service terminal 300 is provided with data processing module 310, coding layout module 350, data analysis module 320, level threshold value module 330, data early warning module 340.
Wherein, data processing module 310, it is the information data for receiving after supervising device 200 collection, carries out data information transfer, and carry out the modular structure of analyzing and processing to the data message obtained with above-mentioned data processing equipment 240.
Wherein, data analysis module 320, it is for receiving the data after being processed by above-mentioned data processing module 310, and with at least one supervising device 200, as collection source, to the data analysis after described process, draw the modular structure that predicted data is moved towards, it also comprises with the cumulative variations of time factor, steric factor, the object consumption factor, judge road parameter, accumulative effect analysis submodule 321 that peripheral facility arranges stack loss, and for judging the burst effect analysis submodule 322 of sudden human accident and Sudden Natural Disasters seriousness.Be such as that the road surface of road conditions goes wrong, or the various situation such as disaster reason can obtain corresponding result of determination.
Wherein, level threshold value module 330, it is analysis result for being drawn by above-mentioned data analysis module 320 and predicted data trend, compare with the benchmark database of its foundation, obtain comparative result, according to described comparative result, instruct the modular structure that following data early warning module 340 works, also include with time factor, steric factor, object consumes the cumulative variations of the factor, set up road parameter, peripheral facility arranges stack loss benchmark, give the accumulative threshold value submodule 331 of above-mentioned accumulative effect analysis submodule reference, and for setting up sudden human accident and Sudden Natural Disasters seriousness benchmark, give the burst threshold submodule 332 of burst effect analysis submodule reference.Such as, it is disaster that the data message obtained and standard data message are compared rear discovery by this module, will, by result notification data warning module 340, arrange further to send alerting signal.
Wherein, data early warning module 340, it is the early warning instruction for receiving above-mentioned level threshold value module 330, above-mentioned signal prior-warning device 230 is instructed to send the modular structure of early warning signal, it also includes gathers according to the result of data analysis in above-mentioned data analysis module 320, and important information data are carried out regular classification, the early warning rule submodule 341 of modes of warning and signalization prior-warning device is correlated with, and for connecting public network port, gather according to data analysis in above-mentioned data analysis module, issue the public network early warning submodule 342 of early warning instruction.
Wherein, coding layout module 350, it is the structure for carrying out code identification to the supervising device be arranged on each lighting installation, it also includes according to lighting installation location, periphery mark, the network address and rules of arrangement the naming rule submodule 351 being arranged on supervising device identification code described in lighting installation, as an example, mark rule can carry out each supervising device 200 with IP address and identifies.
The explanation of Fig. 2:
Shown in ginseng Fig. 2, be the realization flow figure of the illumination monitoring system based on imaging identification of the present invention, comprise the steps:
Step 1, lighting installation arranges supervising device;
Step 2, carries out identification code layout to each supervising device in step 1;
Step 3, described supervising device is taken the surface conditions of periphery, road surface periphery situation, traffic status, is gathered, described level threshold value includes with the cumulative variations of time factor, steric factor, the object consumption factor, set up accumulative threshold value road parameter, peripheral facility being arranged to stack loss benchmark, and to sudden human accident and Sudden Natural Disasters seriousness benchmark, the burst threshold of foundation;
Step 4, service terminal, to the data analysis collected in step 3, draws analysis result and predicted data trend, and show that early warning indicates according to level threshold value;
Step 5, according to the early warning instruction obtained in step 4, supervising device is instructed to make corresponding early warning signal, described early warning instruction can be issued by public network port, described supervising device is provided with audible alerts structure, color alerts structure for performing aforementioned early warning instruction, light warning structure three at least one.
For example and without limitation, after on illumination is implemented, supervising device is set, network address mark is carried out to the supervising device on each lighting installation, camera head in supervising device is to the degree of damage on the road surface of periphery, the surface conditions such as the bearing capacity in section, road surface periphery greening growing state, vehicle pass-through situation, the information such as sudden accident and Sudden Natural Disasters is taken, gather, with time factor, steric factor, object consumes the cumulative variations of the factor, set up road parameter, peripheral facility arranges the accumulative threshold value of stack loss benchmark, and to sudden human accident and Sudden Natural Disasters seriousness benchmark, the burst threshold set up, the data collected by supervising device are sent to service terminal analysis, draw analysis result and predicted data trend, and draw early warning instruction as an example according to level threshold value, such as on certain road section surface, traffic accident or vehicle congestion are freeed, we just can block up according to these information inference Chu Zheduan road and maybe can not pass through very much, and provide the accordingly warning such as audio frequency, color, light by the supervising device on this section of light fixture, or early warning signal to be published on public network by public network interface by this early warning signal to broadcast.
The explanation of Fig. 3:
Shown in ginseng Fig. 3, it is the illumination implementing monitoring device schematic diagram of the illumination monitoring system based on imaging identification of the present invention.As shown be illumination monitoring device 200 structural drawing, illumination monitoring device 200 arranges the camera head 210 carrying out taking, gathering for taking the information such as surface conditions, road surface periphery situation, traffic status sudden accident and Sudden Natural Disasters, as an example, described camera head 210 available network camera or other similar filming apparatus realize; Also include the early warning signal classification suggestion device for making warning, described suggestion device comprises the color alerts structure 232 carrying out pointing out for changing color, by the light warning structure 233 that different light is warned as signal, carry out the audible alerts structure 231 warned by audio broadcasting form.
For example and without limitation, the network address on A section is the supervising device of 192.168.0.120, when gathering periphery situation, the weather detected at that time has very large mist, now, the data summarization that supervising device will collect, be sent to service terminal, when after the situation that service terminal photographs according to camera head, according to analysis result to the network address on A section be 192.168.0.120 supervising device on prior-warning device feed back, as, by using Amber Alerts lamp, orange warning lamp or the vehicular traffic warned on A section by the form of audio broadcasting.
The explanation of Fig. 4:
Shown in ginseng Fig. 4, being the network structure of the illumination monitoring system based on imaging identification of the present invention, is a kind of embodiment.As shown in Figure 4, the described illumination monitoring system based on imaging identification, it includes the group 400 being arranged on lighting installation supervising device, described supervising device group 400 is the degree of damage for the road surface to periphery, the surface conditions such as the bearing capacity in section, road surface periphery greening growing state, vehicle pass-through situation, the information such as sudden accident and Sudden Natural Disasters is taken, gather, and make corresponding warning, it connects for receiving the service terminal 300 with processing information data, data interaction can be carried out between the group 400 of lighting installation supervising device and service terminal 300, the data collected as supervising device are transferred to service terminal 300 by form that is wired or wireless network, the alarming device that described service terminal 300 will send to according to analysis result after data analysis process on the supervising device of corresponding network address, or to be published to by public network interface and public network to carry out broadcast warning.
The explanation of Fig. 5:
Fig. 5 is the road conditions watch circle of the illumination monitoring system based on imaging identification of the present invention, is another kind of embodiment.As shown in fig. 5-1, described supervising device 200-1 is arranged on highway lighting facility, namely on street lamp, for monitoring the road conditions of this highway, as the overall sea level elevation on road surface.
Then service terminal collects the road surface monitor data transmitted by supervising device 200-1, and analyze according to different analysis projects, in Fig. 5-1, service terminal is for road surface xsect (diagram A-A direction), carry out road surface sea level elevation and carry out monitored for prolonged periods of time, obtain as Fig. 5-2, Fig. 5-3 and Fig. 5-4.
As shown in Fig. 5-2, for supervising device 200-1 is at the sea level elevation schematic diagram of the road surface xsect in March; As shown in Fig. 5-3, for supervising device 200-1 is at the sea level elevation schematic diagram of the road surface xsect in May; As shown in Fig. 5-4, for supervising device 200-1 is at the sea level elevation schematic diagram of the road surface xsect in July.
Can be learnt by the data monitoring analysis of Fig. 5-2, Fig. 5-3 and Fig. 5-4, the road surface sea level elevation in this section is along with passage of time is in decline slowly, and namely road surface is in sinking.Service terminal, after analyzing this conclusion, sets up early warning information, sends to supervising device 200-1, signal prior-warning device 230-1 is allowed to make signal early warning, service terminal can pass through public network module simultaneously, this early warning information is released, allows relevant responsible organization make corresponding measure.
Be more than the description of this invention and non-limiting, based on other embodiment of inventive concept, all among protection scope of the present invention.