CN201654975U - Lighting monitoring system based on camera identification - Google Patents
Lighting monitoring system based on camera identification Download PDFInfo
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- CN201654975U CN201654975U CN2010201180935U CN201020118093U CN201654975U CN 201654975 U CN201654975 U CN 201654975U CN 2010201180935 U CN2010201180935 U CN 2010201180935U CN 201020118093 U CN201020118093 U CN 201020118093U CN 201654975 U CN201654975 U CN 201654975U
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Abstract
The utility model provides a lighting monitoring system based on camera identification and belongs to the electronic equipment field. The lighting monitoring system comprises a monitoring apparatus for monitoring and early warning, and a modular server terminal for receiving and processing information data. The monitoring apparatus is provided with a camera device for shooting the road surface situation, the road surface periphery situation and traffic situation, a signal early warning device used for transmitting an early warning signal according to the instruction from a data early warning module, and a data processing device for performing data interaction with a data processing module. The server terminal is provided with a data analyzing module, a data processing module, a mark arranging module and an early warning module and etc. The utility model has the advantages that: the lighting monitoring system based on camera identification can access the lighting monitoring camera device according to the lighting monitoring network address, obtains the monitored target site situation and carries out early warning towards sudden artificial accidents and sudden natural disaster situations and also publishes the early warning information to the public network system.
Description
Technical field
The utility model belongs to electronic device field, relates to a kind of illumination monitoring system based on imaging identification.
Background technology
Along with the progress and development of science and technology, the various infrastructure of building: bring huge facility for people's trip as means of transportation such as highway facilities, rail facilities based on people's material life; And facilities such as park, leisure place have then improved people's humane living standard greatly.But under many circumstances, people can't monitor constantly and manage these infrastructure.At present, to some highways from far-off regions,, be difficult to accomplish its pavement behavior, traffic status, surrounding environment are made monitoring constantly particularly around the mountain or the highway system of building by the mountain.Therefore,, just can't make effective early warning and judge, remind the people that travel on road, perhaps the maintainer of highway in the hidden danger phase that accident takes place.When accident really takes place, cause the loss that to retrieve.
Therefore be necessary to provide a kind of network early warning system of monitoring constantly, by lighting device in these infrastructure, as highway lamp, on the lighting installation of park supervising device is set, then by having the service terminal of corresponding data transmission, the monitor data that supervising device photographs is analyzed, to potential safety hazard and sudden situation, as near the mountain or around the massif deformation of mountain highway, the road surface sinks, traffic jam, human accident, change in weather etc. are made and being given warning in advance, and alarm signal transferred to public network system, and feed back to supervising device, and make early warning and remind, can be before the accident with potential safety hazard takes place, make relative measures, reduce property loss and casualties, be Socialist construction, strong safety assurance is provided.
The utility model content
The purpose of this utility model provides a kind of illumination monitoring system based on imaging identification.
A kind of illumination monitoring system based on imaging identification, it includes following ingredient:
Supervising device, described supervising device are monitoring and the early warning structures that is used to be arranged on the lighting installation device, and described supervising device is provided with camera head, coding recognition device, signal prior-warning device, data processing equipment.
Camera head wherein, it is the shooting structure that is used to take road surface situation, road surface periphery situation, traffic status.
Coding recognition device wherein, it is to be used for by following coding layout module, and the identification code of the described lighting installation device of corresponding described coding recognition device placement is set, and indicates the structure of described camera head.
Signal prior-warning device wherein, it is the instruction that is used for by following data early warning module, sends the structure of early warning signal.
Data processing equipment wherein, it is the structure that is used for carrying out data interaction between the following data processing module.
Service terminal, described server terminal are the modular structures that is used to receive 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 that is used to receive after supervising device is gathered, the structure of carrying out data interaction with above-mentioned data processing equipment.
Data analysis module wherein, it is the data that are used to receive by after the above-mentioned data processing module processing, and with at least one supervising device, as the collection source, the data after the described processing is analyzed, and draws the structure of predicted data trend.
Level threshold value module wherein, it is to be used for analysis result that above-mentioned data analysis module is drawn and predicted data trend, compares with the benchmark database of its foundation, obtains comparative result, 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 indication that is used to receive 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 to be used for being arranged on the structure that supervising device on each lighting installation carries out code identification.
Further, described illumination monitoring system based on imaging identification also includes following technical characterictic:
Described data analysis module also comprises the accumulative total variable with time factor, steric factor, the object consumption factor, judge that road parameter, peripheral facility are provided with the accumulative total effect analysis submodule of stack loss, and are used to judge the burst effect analysis submodule of sudden human accident and sudden disaster seriousness.
Described level threshold value module also includes with time factor, steric factor, object and consumes the accumulative total variable of the factor, foundation is provided with the stack loss benchmark to road parameter, peripheral facility, give the accumulative total threshold value submodule of above-mentioned accumulative total effect analysis submodule reference, and be used for setting up to sudden human accident and sudden disaster seriousness benchmark, the burst threshold submodule of the effect analysis submodule reference that happens suddenly.
Described coding layout module also includes according to lighting installation location, peripheral sign, the network address and rules of arrangement being arranged on the naming rule submodule of the described supervising device identification code of lighting installation.
Described data early warning module, also include the result who gathers according to data analysis in the above-mentioned data analysis module, the important information data are carried out regular classification, and the early warning rule submodule of the relevant early warning pattern of signalization prior-warning device, and be used to connect the public network port, gather the public network early warning submodule of issue early warning indication according to data analysis in the above-mentioned data analysis module.
Also be provided with the audible alerts structure that is used to carry out the early warning pattern that aforementioned early warning rule submodule sets, color caution structure, light caution structure three one at least in the described signal prior-warning device.
Advantage of the present utility model is: this illumination monitoring system and implementation method based on imaging identification described in the utility model, can be according to the network address of illumination monitoring, the illumination monitor camera device is conducted interviews, the situation at real-time monitoring objective scene, and can also monitor peripheral facility by camera head simultaneously image document real-time edition, storage, prediction.Can realize giving warning in advance under sudden human accident and the sudden disaster situation, and early warning is distributed to public network system, can be submitted to data on the public network service device under special circumstances, guarantee that system data can better utilize.This system can be communal facility maintainers such as park, highway, brings great convenience when facilities such as carrying out park, highway is safeguarded, particularly the place of the remote inconvenience management in mountain area.
Description of drawings
Fig. 1 is the illumination monitoring system theory diagram based on imaging identification described in the utility model.
Fig. 2 is the realization flow figure of the illumination monitoring system based on imaging identification described in the utility model.
Fig. 3 is that the supervising device synoptic diagram is implemented in the illumination of the illumination monitoring system based on imaging identification described in the utility model.
Fig. 4 is the network structure of the illumination monitoring system based on imaging identification described in the utility model, is a kind of embodiment.
Fig. 5 is the road conditions watch circle of the illumination monitoring system based on imaging identification described in the utility model, is another kind of embodiment.
Embodiment
Below with reference to accompanying drawing, the utility model is described further in conjunction with specific embodiment.
The explanation of Fig. 1:
Shown in ginseng Fig. 1, showed main functional modules structure based on the illumination monitoring system 100 of imaging identification, this system 100 comprises, supervising device 200 and service terminal 300, described supervising device 200 is monitoring and the early warning structures that are used to be arranged on the lighting installation device, 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 that is used to take road surface situation, road surface periphery situation, traffic status, described camera head 210 is selected IP Camera or video camera usually for use, by these camera head 210 road pavement situations, road surface periphery plant or vehicle and burst accident, weather condition is taken, is gathered, and with the data that collect instant send to service terminal 300.
Wherein, coding recognition device 220, it is to be used for by following coding layout module 350, the identification code of the described lighting installation device of corresponding coding recognition device placement is set, indicate the structure of camera head 210, be used for each supervising device 200 that is arranged on the network is carried out the uniquely identified structure, promptly have only 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 the instruction that is used for by following data early warning module 340, send the structure of early warning signal, when data early warning module 340 draws the information that needs warning, will be by the audible alerts structure 231 in the signal prior-warning device 230, color caution structure 232, light caution structure 233 threes one at least make alarm signal.
Wherein, data processing equipment 240, it is to be used for the structure of carrying out data interaction with between the following data processing module 310.
Wherein, data processing module 310, it is the information data that is used to receive after supervising device 200 is gathered, and carries out data information transfer with above-mentioned data processing equipment 240, and the data message that obtains is carried out the modular structure of analyzing and processing.
Wherein, data analysis module 320, it is the data that are used to receive by after above-mentioned data processing module 310 processing, and with at least one supervising device 200, as the collection source, data after the described processing are analyzed, draw the modular structure of predicted data trend, it also comprises the accumulative total variable with time factor, steric factor, the object consumption factor, judge that road parameter, peripheral facility are provided with the accumulative total effect analysis submodule 321 of stack loss, and are used to judge the burst effect analysis submodule 322 of sudden human accident and sudden disaster seriousness.The road surface that for example is road conditions goes wrong, or various situations such as disaster reason can obtain corresponding result of determination.
Wherein, level threshold value module 330, it is that the analysis result and the predicted data that are used for above-mentioned data analysis module 320 is drawn are moved towards, compare with the benchmark database of its foundation, obtain comparative result, according to described comparative result, instruct the modular structure of following data early warning module 340 work, also include with time factor, steric factor, object consumes the accumulative total variable of the factor, foundation is to the road parameter, the periphery facility is provided with the stack loss benchmark, give the accumulative total threshold value submodule 331 of above-mentioned accumulative total effect analysis submodule reference, and be used for setting up to sudden human accident and sudden disaster seriousness benchmark, the burst threshold submodule 332 of the effect analysis submodule reference that happens suddenly.For example, this module compares afterwards find it is disaster with data message and the normal data information that obtains, and result notification data early warning module 340 further will be arranged to send alerting signal.
Wherein, data early warning module 340, it is the early warning indication that is used to receive above-mentioned level threshold value module 330, instruct above-mentioned signal prior-warning device 230 to send the modular structure of early warning signal, the result that it also includes according to data analysis in the above-mentioned data analysis module 320 gathers, and the important information data are carried out regular classification, and the early warning rule submodule 341 of the relevant early warning pattern of signalization prior-warning device, and be used to connect the public network port, gather the public network early warning submodule 342 of issue early warning indication according to data analysis in the above-mentioned data analysis module.
Wherein, coding layout module 350, it is to be used for being arranged on the structure that supervising device on each lighting installation carries out code identification, it also includes according to lighting installation location, peripheral sign, the network address and rules of arrangement being arranged on the naming rule submodule 351 of the described supervising device identification code of lighting installation, as an example, mark rule can carry out each supervising device 200 sign with the IP address.
The explanation of Fig. 2:
Join shown in Figure 2ly, the realization flow figure for the illumination monitoring system based on imaging identification described in the utility model comprises the steps:
Step 1 is provided with supervising device on lighting installation;
Step 2 is carried out the identification code layout to each supervising device in the step 1;
Step 3, described supervising device is taken, is gathered road surface situation, road surface periphery situation, the traffic status of periphery, described level threshold value includes with time factor, steric factor, object and consumes the accumulative total variable of the factor, foundation is provided with the accumulative total threshold value of stack loss benchmark to road parameter, peripheral facility, and to sudden human accident and sudden disaster seriousness benchmark, the burst threshold of foundation;
Step 4, service terminal is analyzed the data that collect in the step 3, draws analysis result and predicted data trend, and draws the early warning indication according to level threshold value;
Step 5, according to the early warning indication that obtains in the step 4, instruct supervising device to make corresponding early warning signal, described early warning indication can be by the issue of public network port, described supervising device is provided with audible alerts structure, the color caution structure that is used to carry out aforementioned early warning indication, and light caution structure three is one at least.
For example and without limitation, after on illumination is implemented, supervising device being set, supervising device on each lighting installation is carried out network address sign, camera head in the supervising device is to the degree of damage on the road surface of periphery, road surface situations such as the bearing capacity in highway section, road surface periphery greening growing state, the vehicle pass-through situation, information such as sudden accident and sudden disaster is taken, gather, with time factor, steric factor, object consumes the accumulative total variable of the factor, foundation is to the road parameter, the periphery facility is provided with the accumulative total threshold value of stack loss benchmark, and to sudden human accident and sudden disaster seriousness benchmark, the burst threshold of foundation; The data that supervising device is collected send to service terminal analysis, draw analysis result and predicted data trend, and draw early warning indication as an example according to level threshold value, such as on certain road section surface, having freeed traffic accident or vehicle blocks up, we just infer according to these information that this section way can block up very much and maybe can not pass through, and provide corresponding warning such as audio frequency, color, light by the supervising device on this section light fixture, or this early warning signal is published to early warning signal on the public network by public network interface broadcasts.
The explanation of Fig. 3:
Join shown in Figure 3, for the supervising device synoptic diagram is implemented in the illumination of the illumination monitoring system based on imaging identification described in the utility model.As shown be an illumination monitoring device 200 structural drawing, on illumination monitoring device 200, be provided for taking the camera head 210 that information such as road surface situation, road surface periphery situation, traffic status sudden accident and sudden disaster are taken, gathered, as an example, described camera head 210 available network cameras or other similar filming apparatus are realized; Also include the early warning signal classification suggestion device that is used to make caution, described suggestion device comprises and is used to change the color caution structure 232 that color is pointed out, with the light caution structure 233 of different light as signal caution, the audible alerts structure of warning with the audio broadcasting form 231.
For example and without limitation, the network address on the A highway section is the supervising device of 192.168.0.120, the weather that detects at that time when gathering peripheral situation has very big mist, at this moment, supervising device gathers the data that collect, send to service terminal, after the situation that service terminal photographs according to camera head, giving the network address on the A highway section according to analysis result is that prior-warning device on the supervising device of 192.168.0.120 feeds back, as, by using yellow warning lamp, orange warning lamp or warn through the vehicular traffic on the A highway section with the form of audio broadcasting.
The explanation of Fig. 4:
Join shown in Figure 4ly, the network structure for the illumination monitoring system based on imaging identification described in the utility model is a kind of embodiment.As shown in Figure 4, described illumination monitoring system based on imaging identification, it includes the group 400 that is arranged on the lighting installation supervising device, described supervising device group 400 is the degree of damage that is used for the road surface of periphery, road surface situations such as the bearing capacity in highway section, road surface periphery greening growing state, the vehicle pass-through situation, information such as sudden accident and sudden disaster is taken, gather, and make corresponding caution, its connects the service terminal 300 be used to receive with processing information data, can carry out data interaction between the group 400 of lighting installation supervising device and the service terminal 300, the data that collect as supervising device are transferred to service terminal 300 by the form of wired or wireless network, described service terminal 300 carries out data after the analyzing and processing to send to alarming device on the supervising device of corresponding network address according to analysis result, or is published to by public network interface and broadcasts caution on the public network.
The explanation of Fig. 5:
Fig. 5 is the road conditions watch circle of the illumination monitoring system based on imaging identification described in the utility model, is another kind of embodiment.Shown in Fig. 5-1, described supervising device 200-1 is set at the highway lighting facility, promptly on the street lamp, is used to monitor the road conditions of this highway, as the whole sea level elevation on road surface.
Service terminal is collected the road surface monitor data by supervising device 200-1 transmission then, and analyze according to different analysis projects, in Fig. 5-1, service terminal is at road surface xsect (diagram A-A direction), carry out the 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.
Shown in Fig. 5-2, be the sea level elevation synoptic diagram of supervising device 200-1 at the road surface in March xsect; Shown in Fig. 5-3, be the sea level elevation synoptic diagram of supervising device 200-1 at the road surface in May xsect; Shown in Fig. 5-4, be the sea level elevation synoptic diagram of supervising device 200-1 at the road surface in July xsect.
Data monitoring analysis by Fig. 5-2, Fig. 5-3 and Fig. 5-4 can learn, in slowly decline, promptly the road surface is sinking the road surface sea level elevation in this highway section as time passes.Service terminal is set up early warning information after analyzing this conclusion, send to supervising device 200-1, allow signal prior-warning device 230-1 make the signal early warning, service terminal can pass through the public network module simultaneously, and this early warning information is released, and allows relevant responsible organization make relative measures.
More than be to description of the present utility model and non-limiting, based on other embodiment of the utility model thought, all among protection domain of the present utility model.
Claims (6)
1. the illumination monitoring system based on imaging identification is characterized in that, described illumination monitoring system based on imaging identification includes:
Supervising device, described supervising device are monitoring and the early warning structures that is used to be arranged on the lighting installation device, and described supervising device is provided with camera head, coding recognition device, signal prior-warning device, data processing equipment,
Camera head wherein, it is the shooting structure that is used to take road surface situation, road surface periphery situation, traffic status,
Coding recognition device wherein, it is to be used for by following coding layout module, and the identification code of the described lighting installation device of corresponding described coding recognition device placement is set, and indicates the structure of described camera head,
Signal prior-warning device wherein, it is the instruction that is used for by following data early warning module, sends the structure of early warning signal,
Data processing equipment wherein, it is the structure that is used for carrying out data interaction between the following data processing module;
Service terminal, described service terminal are the modular structures that is used to receive 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 that is used to receive after supervising device is gathered, the structure of carrying out data interaction with above-mentioned data processing equipment,
Data analysis module wherein, it is the data that are used to receive by after the above-mentioned data processing module processing, and with at least one supervising device, as the collection source, the data after the described processing is analyzed, and draws the structure of predicted data trend,
Level threshold value module wherein, it is to be used for analysis result that above-mentioned data analysis module is drawn and predicted data trend, compares with the benchmark database of its foundation, obtain comparative result, 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 indication that is used to receive 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 to be used for being arranged on the structure that supervising device on each lighting installation carries out code identification.
2. the illumination monitoring system based on imaging identification according to claim 1, it is characterized in that, described data analysis module also comprises the accumulative total variable with time factor, steric factor, the object consumption factor, judge that road parameter, peripheral facility are provided with the accumulative total effect analysis submodule of stack loss, and are used to judge the burst effect analysis submodule of sudden human accident and sudden disaster seriousness.
3. the illumination monitoring system based on imaging identification according to claim 1, it is characterized in that, described level threshold value module also includes with time factor, steric factor, object and consumes the accumulative total variable of the factor, foundation is provided with the stack loss benchmark to road parameter, peripheral facility, give the accumulative total threshold value submodule of above-mentioned accumulative total effect analysis submodule reference, and be used for setting up to sudden human accident and sudden disaster seriousness benchmark, the burst threshold submodule of the effect analysis submodule reference that happens suddenly.
4. the illumination monitoring system based on imaging identification according to claim 1, it is characterized in that described coding layout module also includes according to lighting installation location, peripheral sign, the network address and rules of arrangement being arranged on the naming rule submodule of the described supervising device identification code of lighting installation.
5. the illumination monitoring system based on imaging identification according to claim 1, it is characterized in that, described data early warning module, also include the result who gathers according to data analysis in the above-mentioned data analysis module, the important information data are carried out regular classification, and the early warning rule submodule of the relevant early warning pattern of signalization prior-warning device, and be used to connect the public network port, gather the public network early warning submodule of issue early warning indication according to data analysis in the above-mentioned data analysis module.
6. according to claim 1 or 5 based on the illumination monitoring system of imaging identification, it is characterized in that, also be provided with the audible alerts structure that is used to carry out the early warning pattern that aforementioned early warning rule submodule sets, color caution structure, light caution structure three one at least in the described signal prior-warning device.
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| CN2010201180935U CN201654975U (en) | 2010-01-27 | 2010-01-27 | Lighting monitoring system based on camera identification |
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| CN2010201180935U CN201654975U (en) | 2010-01-27 | 2010-01-27 | Lighting monitoring system based on camera identification |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101794499A (en) * | 2010-01-27 | 2010-08-04 | 江苏华安高技术安防产业有限公司 | Imaging identification based illumination monitoring system and realization method |
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2010
- 2010-01-27 CN CN2010201180935U patent/CN201654975U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101794499A (en) * | 2010-01-27 | 2010-08-04 | 江苏华安高技术安防产业有限公司 | Imaging identification based illumination monitoring system and realization method |
| CN101794499B (en) * | 2010-01-27 | 2015-08-12 | 张青 | Based on illumination monitoring system and the implementation method of imaging identification |
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Granted publication date: 20101124 Termination date: 20140127 |