CN117295211A - Intelligent lighting control system for tunnel emergency rescue - Google Patents
Intelligent lighting control system for tunnel emergency rescue Download PDFInfo
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- CN117295211A CN117295211A CN202311591102.0A CN202311591102A CN117295211A CN 117295211 A CN117295211 A CN 117295211A CN 202311591102 A CN202311591102 A CN 202311591102A CN 117295211 A CN117295211 A CN 117295211A
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- 230000005540 biological transmission Effects 0.000 claims abstract description 58
- 230000000694 effects Effects 0.000 claims abstract description 21
- 230000008859 change Effects 0.000 claims abstract description 18
- 230000004907 flux Effects 0.000 claims description 59
- 238000004140 cleaning Methods 0.000 claims description 52
- 238000012544 monitoring process Methods 0.000 claims description 49
- 238000012806 monitoring device Methods 0.000 claims description 36
- 238000005286 illumination Methods 0.000 claims description 27
- 239000000428 dust Substances 0.000 claims description 21
- 238000012790 confirmation Methods 0.000 claims description 16
- 230000007613 environmental effect Effects 0.000 claims description 15
- 238000009434 installation Methods 0.000 claims description 15
- 238000012545 processing Methods 0.000 claims description 15
- 238000009432 framing Methods 0.000 claims description 11
- 238000005457 optimization Methods 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 10
- 239000000463 material Substances 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 238000009877 rendering Methods 0.000 claims description 5
- 238000010521 absorption reaction Methods 0.000 claims description 3
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
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- 230000005611 electricity Effects 0.000 abstract description 4
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/71—Circuitry for evaluating the brightness variation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/76—Circuitry for compensating brightness variation in the scene by influencing the image signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention discloses a tunnel emergency rescue intelligent lighting control system, relates to the technical field of intelligent lighting, and aims to solve the problems of inconvenient lighting adjustment and low rescue efficiency during rescue. The utility model provides a tunnel emergency rescue wisdom lighting control system, intelligent lighting device carries out real-time supervision to the electricity consumption, the staff can select to change battery or change equipment, thereby reduce the problem of unable rescue because of lighting device electric power is too low in the tunnel rescue period, through the adjustment to the parameter data's adjustment that can further improve later stage intelligent lighting device parameter, through adjusting intelligent lighting device parameter more do benefit to under the inconsistent circumstances of light in the tunnel, improve the effect of lighting effect, select the biggest transmission channel of channel residual capacity as the transmission channel of rescue video, thereby can reduce because the capacity of the too big and transmission channel of rescue video transmission volume is too little, the problem of transmission efficiency too slow that leads to.
Description
Technical Field
The invention relates to the technical field of intelligent illumination, in particular to a tunnel emergency rescue intelligent illumination control system.
Background
The intelligent lighting is a device for intensively regulating and controlling a light source and dimming by utilizing a power line carrier communication mode through an intelligent technology.
The Chinese patent with publication number CN204465953U discloses a tunnel intelligent lighting and warning system, mainly can detect the outside light intensity of tunnel portal and the light intensity in the tunnel through photosensitive element, and main control unit adjusts LED light intensity according to detected signal, when avoiding the access tunnel, produces the influence to the car driver because of the difference of the outside light of tunnel and inside light, and above-mentioned patent has solved the problem of tunnel intelligent lighting, but still has following problem in actual operation:
1. the rescue environment in the tunnel cannot be acquired more easily, so that timely rescue cannot be performed according to the conditions in the tunnel;
2. because the light environments in the tunnels are inconsistent, intelligent adjustment cannot be performed when the lighting device performs light adjustment;
3. when rescue is carried out, the number of people in the tunnel and the specific positions of the people are not further confirmed, so that casualties occur due to too slow rescue efficiency;
4. the rescue video is not subjected to further image quality optimization, so that background personnel can not watch clearly, and delay occurs in rescue.
Disclosure of Invention
The invention aims to provide a tunnel emergency rescue intelligent lighting control system, an intelligent lighting device monitors electricity consumption in real time, a worker can select to replace a battery or equipment, so that the problem that rescue cannot be achieved due to too low power of the lighting device in a tunnel rescue period is solved, parameters of the later intelligent lighting device can be further improved by confirming parameter data, the effect of improving lighting effect is improved under the condition that light in a tunnel is inconsistent by adjusting the parameters of the intelligent lighting device, and a transmission channel with the largest channel residual capacity is selected as a transmission channel of a rescue video, so that the problem that the transmission efficiency is too low due to too small capacity of the transmission channel due to too large transmission capacity of the rescue video can be solved.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a tunnel emergency rescue intelligent lighting control system comprises:
the rescue environment data confirming unit is used for:
the method comprises the steps that a real-time monitoring device and an intelligent lighting device are equipped during tunnel rescue, the real-time monitoring device acquires rescue roads and rescue environment data in a rescue tunnel, and the intelligent lighting device is subjected to brightness scheme intervention according to the rescue environment data in the rescue tunnel;
an intelligent illumination parameter adjusting unit for:
the intelligent lighting device is subjected to brightness scheme based on the rescue environment data acquired in the rescue environment data confirmation unit, parameters of the brightness scheme are extracted, the extracted scheme parameters are imported into the intelligent lighting device, and the intelligent lighting device automatically adjusts the brightness according to the brightness scheme;
rescue real-time monitoring processing unit for:
acquiring a rescue picture according to the real-time monitoring device, acquiring the personnel density and the personnel position of the rescue picture, and simultaneously, performing real-time voice broadcasting through a wireless voice device on the real-time monitoring device when the personnel density and the personnel position are acquired;
the real-time monitoring data reporting unit is used for:
and carrying out image optimization on the rescue picture based on the personnel density and the rescue picture of the personnel position obtained in the rescue real-time monitoring processing unit, and uploading the optimized image data, wherein a transmission channel with the highest transmission speed is automatically selected during data uploading.
Preferably, the rescue environment data confirmation unit includes:
the rescue device terminal connection module is used for;
the rescue device comprises a real-time monitoring device and an intelligent lighting device;
the signal output ends and the signal input ends of the real-time monitoring device and the intelligent lighting device are respectively connected with each other, and the signal output ends of the real-time monitoring device and the intelligent lighting device are electrically connected with the control terminal.
Preferably, the rescue environment data confirmation unit further includes:
the rescue environment data confirmation module is used for:
rescue environment data includes geographic data, weather data, traffic data, communication data, environmental change data, material data, medical data, and disaster data;
acquiring environmental change data in the tunnel in real time according to the rescue environmental data;
generating parameter data from the environmental change data after the acquisition;
the parameter data includes a luminous flux parameter, a light efficiency parameter, a beam angle parameter, a color rendering index parameter, and a color temperature parameter.
Preferably, the intelligent lighting device comprises a photosensitive sensor, a controller, an adjustable lighting lamp and an electric quantity broadcasting device;
the photosensitive sensor acquires the parameter data and sends a plurality of parameters in the parameter data to the controller through signals;
the controller adjusts the brightness of the adjustable illuminating lamp according to the parameters in the acquired parameter data;
and the parameter data is adjusted according to the real-time environmental change data;
after the environment transformation data are adjusted, generating adjusted parameter data, and sending the generated parameter data to the intelligent lighting device;
the electric quantity broadcasting device monitors the electric quantity consumption condition of the intelligent lighting device in real time;
when the electric quantity of the intelligent lighting device is lower than a preset electric quantity value, the intelligent lighting device carries out alarm reminding.
Preferably, the rescue real-time monitoring processing unit includes:
personnel density monitoring module for:
detecting the brightness of the real-time monitoring device according to the parameter data, and selecting an adaptive brightness compensation function according to the detection result;
compensating the rescue picture monitored by the real-time monitoring device by utilizing a brightness compensation function to obtain compensated monitoring data;
carrying out framing treatment on the compensated monitoring data to obtain a treatment result;
extracting characteristic points of each frame of image in the processing result to obtain a characteristic point extraction result;
comparing the feature point extraction results of each frame of image, and selecting the feature points of the target person appearing in each frame of image;
confirming the current personnel number parameters in the compensated monitoring data according to the target person feature points;
and taking the personnel number parameter in the monitoring data as the final personnel number in the monitoring data.
Preferably, the rescue real-time monitoring processing unit further includes:
a personnel position confirmation module for:
based on the personnel number data acquired in the personnel density monitoring module, carrying out data correspondence on the personnel data and rescue environment data;
confirming specific longitude and latitude data in the personnel quantity data according to geographic data acquired from rescue environment data;
inputting the specific longitude and latitude data into a time axis, and generating dynamic data;
and extracting the position characteristics corresponding to each person in the personnel data from the dynamic data, and determining the longitude and latitude data of each person according to the position characteristics.
Preferably, the real-time monitoring data reporting unit includes:
the rescue image optimization module is used for:
acquiring rescue videos in the tunnel acquired by the real-time monitoring device;
framing the acquired rescue video, and framing the rescue video into a plurality of picture data;
optimizing the image quality of each picture data, wherein the image quality is optimized by adjusting parameters of skewness, definition, distortion and resolution of the image;
after the image quality is optimized, video generation is carried out on each image;
and finally generating the optimized rescue video.
Preferably, the real-time monitoring data reporting unit further includes:
the rescue image uploading module is used for:
confirming the capacity of the rescue video based on the rescue video acquired in the rescue image optimization module;
acquiring channel residual capacity and channel total capacity data of transmission channels, wherein the number of the transmission channels is not less than five;
selecting a corresponding transmission channel according to the capacity of the rescue video;
and confirming the residual capacity of the plurality of transmission channels, and selecting the transmission channel with the largest residual capacity as the transmission channel of the rescue video.
Preferably, the controller adjusts the brightness of the adjustable lighting lamp according to the parameters in the acquired parameter data, including:
acquiring human body infrared signals in an adjustable lighting lamp installation environment according to the parameter data;
obtaining the maximum luminous flux and the minimum luminous flux of the adjustable illuminating lamp;
pre-constructing a network model, training the network model according to the maximum luminous flux of the adjustable illuminating lamp and the recommended human infrared signal quantity of the interval in which the minimum luminous flux is located, and obtaining a trained network model;
inputting the current quantity of human infrared signals corresponding to the parameter data into the trained network model to obtain the target luminous flux of the adjustable illuminating lamp;
detecting the current luminous flux of the adjustable lighting lamp, comparing the current luminous flux with the target luminous flux, and when the current luminous flux is larger than the target luminous flux and the difference value of the current luminous flux and the target luminous flux is within a preset range, determining that the brightness in the installation environment of the adjustable lighting lamp is insufficient when the current luminous flux is larger than the target luminous flux and the difference value of the current luminous flux and the target luminous flux is out of the preset range, and determining that the brightness in the installation environment of the adjustable lighting lamp is excessively sufficient when the current luminous flux is smaller than the target luminous flux;
acquiring adjustable output power of an adjustable illuminating lamp;
determining a brightness giving threshold value under each output power according to the adjustable output power and the corresponding illumination intensity;
determining a light supply-demand ratio corresponding to each output power based on a brightness giving threshold value at the output power;
when the brightness in the installation environment of the adjustable illuminating lamp is determined to be insufficient, a brightness compensation coefficient is determined according to the ambient brightness and the illumination brightness ratio of the adjustable illuminating lamp, a first output power is selected according to the brightness compensation coefficient and the illumination supply-demand ratio corresponding to each output power, when the brightness in the installation environment of the adjustable illuminating lamp is determined to be excessive and sufficient, a brightness attenuation coefficient is determined according to the ambient brightness and the illumination brightness ratio of the adjustable illuminating lamp, and a second output power is selected according to the brightness attenuation coefficient and the illumination supply-demand ratio corresponding to each output power;
and adjusting the current output power of the adjustable illuminating lamp to the first output power or the second output power to realize brightness adjustment.
Preferably, the system further comprises: the cleaning reminding unit is used for detecting the cleaning condition of the intelligent lighting equipment and sending cleaning reminding to staff according to the cleaning condition, and specifically comprises the following steps:
detecting a first dust density of the intelligent lighting apparatus and a current lighting intensity of the intelligent lighting apparatus:
calculating a current cleaning coefficient of the intelligent lighting apparatus according to the first dust density and the current lighting intensity:
the method comprises the steps of representing first dust density of intelligent lighting equipment, representing dust density in an environment where the intelligent lighting equipment is located, representing current lighting intensity of the intelligent lighting equipment, representing factory lighting intensity of the intelligent lighting equipment, representing material dust absorption index of the intelligent lighting equipment, representing natural logarithm, representing dust effect generating efficiency in a tunnel, representing dust effect dissipating efficiency in the tunnel and representing current cleaning coefficient of the intelligent lighting equipment;
comparing the current cleaning coefficient with a preset cleaning coefficient to obtain a comparison result;
if the comparison result is that the current cleaning coefficient is far more than the preset cleaning coefficient, a manual prompt for rapid cleaning is sent out, if the comparison result is that the current cleaning coefficient is less than the preset cleaning coefficient, a manual prompt for slow cleaning is sent out, and if the comparison result is that the current cleaning coefficient is far less than the preset cleaning coefficient, a prompt for unnecessary cleaning is sent out.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the intelligent lighting control system for tunnel emergency rescue, detailed information in a tunnel and outside the tunnel can be accurately obtained through obtaining rescue environment data, a large amount of basic information support is added for later rescue, adjustment of parameters of the later intelligent lighting device can be further improved through confirming parameter data, and the effect of improving the lighting effect is improved under the condition that light in the tunnel is inconsistent through adjusting the parameters of the intelligent lighting device.
2. According to the intelligent lighting control system for tunnel emergency rescue, provided by the invention, the intelligent lighting device monitors the electricity consumption in real time, and workers can select to replace batteries or equipment, so that the problem that rescue cannot be performed due to too low power of the lighting device in a tunnel rescue period is solved, the transmission channels are selected through the rescue image uploading module, the data transmission efficiency and the data transmission stability are effectively improved, the residual capacity of a plurality of transmission channels is confirmed, the transmission channel with the largest residual capacity of the transmission channels is selected as the transmission channel of rescue video, and the problem that the transmission efficiency is too low due to too small capacity of the transmission channel due to too large transmission capacity of the rescue video can be solved.
3. According to the intelligent lighting control system for tunnel emergency rescue, the current personnel number parameters in the compensated monitoring data are confirmed according to the target character feature points, accuracy of the number of rescue personnel in the monitoring video area is further improved, specific longitude and latitude data of the rescue personnel determined in the tunnel are input into a time axis, dynamic data are generated, positions of the trapped personnel can be further improved, and rescue efficiency of later-stage personnel is effectively improved.
Drawings
FIG. 1 is a schematic diagram of the overall module principle of the present invention;
fig. 2 is a schematic overall flow chart of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the problem that in the prior art, when rescue illumination is performed in a tunnel, more ready acquisition cannot be performed on the rescue environment in the tunnel, so that timely rescue cannot be performed according to the condition in the tunnel, please refer to fig. 1 and 2, the embodiment provides the following technical scheme:
a tunnel emergency rescue intelligent lighting control system comprises:
the rescue environment data confirming unit is used for:
the method comprises the steps that a real-time monitoring device and an intelligent lighting device are equipped during tunnel rescue, the real-time monitoring device acquires rescue roads and rescue environment data in a rescue tunnel, and the intelligent lighting device is subjected to brightness scheme intervention according to the rescue environment data in the rescue tunnel;
an intelligent illumination parameter adjusting unit for:
the intelligent lighting device is subjected to brightness scheme based on the rescue environment data acquired in the rescue environment data confirmation unit, parameters of the brightness scheme are extracted, the extracted scheme parameters are imported into the intelligent lighting device, and the intelligent lighting device automatically adjusts the brightness according to the brightness scheme;
rescue real-time monitoring processing unit for:
acquiring a rescue picture according to the real-time monitoring device, acquiring the personnel density and the personnel position of the rescue picture, and simultaneously, performing real-time voice broadcasting through a wireless voice device on the real-time monitoring device when the personnel density and the personnel position are acquired;
the real-time monitoring data reporting unit is used for:
and carrying out image optimization on the rescue picture based on the personnel density and the rescue picture of the personnel position obtained in the rescue real-time monitoring processing unit, and uploading the optimized image data, wherein a transmission channel with the highest transmission speed is automatically selected during data uploading.
Specifically, adjust the condition that is more favorable to the light inconsistent in the tunnel through rescue environment data confirmation unit to intelligent lighting device parameter, improve the effect of illuminating effect, adjust parameter data in real time to intelligent lighting device through intelligent lighting parameter adjustment unit, further improved intelligent lighting device operation's convenience, confirm out the current personnel quantity parameter in the monitored data after the compensation through rescue real-time supervision processing unit mark personage characteristic point, further improved the accuracy to the personnel quantity that need rescue in this monitoring video region, select transmission channel with rescue image uploading module through real-time supervision data reporting unit, effectively improve data transmission efficiency and data transmission stability.
Rescue environment data confirmation unit, comprising:
the rescue device terminal connection module is used for;
the rescue device comprises a real-time monitoring device and an intelligent lighting device;
the signal output ends and the signal input ends of the real-time monitoring device and the intelligent lighting device are respectively connected with each other, and the signal output ends of the real-time monitoring device and the intelligent lighting device are electrically connected with the control terminal.
The rescue environment data confirmation module is used for:
rescue environment data includes geographic data, weather data, traffic data, communication data, environmental change data, material data, medical data, and disaster data;
acquiring environmental change data in the tunnel in real time according to the rescue environmental data;
generating parameter data from the environmental change data after the acquisition;
the parameter data includes a luminous flux parameter, a light efficiency parameter, a beam angle parameter, a color rendering index parameter, and a color temperature parameter.
Specifically, the rescue intelligent lighting device comprises a real-time monitoring device and an intelligent lighting device, when rescue workers go to a tunnel for rescue, the real-time monitoring device and the intelligent lighting device are respectively started, the real-time monitoring device and the intelligent lighting device can acquire rescue environment data in the tunnel after being started, wherein the real-time monitoring device and the intelligent lighting device are helpful for the rescue workers to know the geographical environment in the tunnel and outside the tunnel according to the geographical data, basic data support is provided for rescue actions, weather changes can be predicted according to the weather data, disaster risks are estimated and rescue plans are formulated, the rescue workers can arrive at the scene quickly according to the traffic data, the rescue efficiency is improved, the rescue workers can be kept in contact with the outside according to the communication data, information and command are timely acquired, the rescue workers can be helped to know the change conditions of the environment in the tunnel and outside the tunnel according to the environment change data, the occurrence of secondary disasters is avoided, rescue workers can be helped to allocate materials in time according to material data, smooth rescue actions can be guaranteed, rescue workers can be helped to rescue wounded in time according to medical data, rescue effect is improved, rescue workers can know disaster conditions in and out of a tunnel according to disaster data, basis is provided for making rescue schemes, detailed information in and out of the tunnel can be more accurately obtained through obtaining rescue environment data, a large amount of basic information support is increased for later rescue, illumination parameters in different environments can be determined according to parameter data in the rescue environment data, wherein luminous flux parameters are parameters of total output light power of a light source, the higher luminous flux is the stronger the light emitted by the light source, the luminous efficiency parameters are the efficiency of converting electric energy into light energy, the higher the light efficiency is, the lower the energy consumption of the lamp is, the beam angle parameter is a parameter of the angle range of the light emitted by the light source, the smaller the beam angle is, the narrower the irradiation range of the light source is, but the larger the illumination intensity is, the color rendering index parameter is a parameter of the restoring effect of the light emitted by the light source on objects with different colors, the higher the color rendering index is, the better the restoring effect of the light on the colors of the objects is, the color temperature parameter is a parameter of the light color emitted by the light source, the higher the color temperature is, the closer the light color emitted by the light source is to blue tone, the lower the color temperature is, the redder is, the later-stage intelligent lighting device parameter adjustment can be further improved through the confirmation of the parameter data, and the effect of the lighting effect is improved under the condition that the light in the tunnel is inconsistent through the adjustment of the intelligent lighting device parameter.
In order to solve the problem that in the prior art, when a tunnel is rescuing, due to inconsistent light environments in the tunnel, intelligent adjustment cannot be performed when the lighting device performs light adjustment, please refer to fig. 1 and 2, the present embodiment provides the following technical scheme:
the intelligent lighting device comprises a photosensitive sensor, an inductor, a controller, an adjustable lighting lamp and an electric quantity broadcasting device;
the photosensitive sensor acquires the parameter data and sends a plurality of parameters in the parameter data to the controller through signals;
the controller adjusts the brightness of the adjustable illuminating lamp according to the parameters in the acquired parameter data;
and the parameter data is adjusted according to the real-time environmental change data;
after the environment transformation data are adjusted, generating adjusted parameter data, and sending the generated parameter data to the intelligent lighting device;
the electric quantity broadcasting device monitors the electric quantity consumption condition of the intelligent lighting device in real time;
when the electric quantity of the intelligent lighting device is lower than a preset electric quantity value, the intelligent lighting device carries out alarm reminding.
Specifically, according to the acquired parameter data, the photosensitive sensor actively detects the intensity of ambient light, and sends a detected light intensity signal to the controller, and the controller adjusts the brightness of the lighting equipment according to the preset parameter and the received light intensity signal. When the ambient light is weak, the controller can enhance the brightness of the lighting equipment so as to improve the illumination; when ambient light is stronger, the controller can reduce the luminance of lighting apparatus to reduce the stimulus to eyes and save the energy, carry out the adjustment of light to intelligent lighting device in real time through parameter data, further improved the convenience of intelligent lighting device operation, simultaneously, intelligent lighting device carries out real-time supervision to the electricity consumption, when intelligent lighting device appears the electric quantity too low, the staff can select to change battery or change equipment, thereby reduced the problem of unable rescue because of lighting device electric power is too low in the tunnel rescue period.
In order to solve the problem that in the prior art, the number of people and the specific positions of the people in the tunnel are not further confirmed when rescue is performed, so that casualties occur due to too slow rescue efficiency, please refer to fig. 1 and 2, the embodiment provides the following technical scheme:
rescue real-time monitoring processing unit includes:
personnel density monitoring module for:
detecting the brightness of the real-time monitoring device according to the parameter data, and selecting an adaptive brightness compensation function according to the detection result;
compensating the rescue picture monitored by the real-time monitoring device by utilizing a brightness compensation function to obtain compensated monitoring data;
carrying out framing treatment on the compensated monitoring data to obtain a treatment result;
extracting characteristic points of each frame of image in the processing result to obtain a characteristic point extraction result;
comparing the feature point extraction results of each frame of image, and selecting the feature points of the target person appearing in each frame of image;
confirming the current personnel number parameters in the compensated monitoring data according to the target person feature points;
and taking the personnel number parameter in the monitoring data as the final personnel number in the monitoring data.
A personnel position confirmation module for:
based on the personnel number data acquired in the personnel density monitoring module, carrying out data correspondence on the personnel data and rescue environment data;
confirming specific longitude and latitude data in the personnel quantity data according to geographic data acquired from rescue environment data;
inputting the specific longitude and latitude data into a time axis, and generating dynamic data;
and extracting the position characteristics corresponding to each person in the personnel data from the dynamic data, and determining the longitude and latitude data of each person according to the position characteristics.
Specifically, the number of specific trapped people in the tunnel is confirmed through the personnel density monitoring module, wherein the rescue picture monitored by the real-time monitoring device is compensated by utilizing the brightness compensation function, compensated monitoring data are obtained, the rescue picture is a monitoring video collected by the real-time monitoring device, the accuracy of confirming the personnel characteristics in the monitoring area is further improved by carrying out compensation, the current personnel number parameter in the compensated monitoring data is confirmed according to the target personnel characteristic points, the accuracy of the number of the required rescue personnel in the monitoring video area is further improved, the specific positions of each confirmed personnel are confirmed through the personnel position confirming module, the specific longitude and latitude data of the rescue personnel confirmed in the tunnel are input into the time axis, dynamic data are generated, the positions of the trapped personnel can be further improved, and the rescue efficiency of later-stage personnel is effectively improved.
In order to solve the problem that in the prior art, when the rescue video in the tunnel is uploaded, the rescue video is not further optimized in image quality, so that background personnel can watch the rescue video in an unclear manner, and delay occurs in rescue, please refer to fig. 1 and 2, the embodiment provides the following technical scheme:
the real-time monitoring data reporting unit comprises:
the rescue image optimization module is used for:
acquiring rescue videos in the tunnel acquired by the real-time monitoring device;
framing the acquired rescue video, and framing the rescue video into a plurality of picture data;
optimizing the image quality of each picture data, wherein the image quality is optimized by adjusting parameters of skewness, definition, distortion and resolution of the image;
after the image quality is optimized, video generation is carried out on each image;
and finally generating the optimized rescue video.
The rescue image uploading module is used for:
confirming the capacity of the rescue video based on the rescue video acquired in the rescue image optimization module;
acquiring channel residual capacity and channel total capacity data of transmission channels, wherein the number of the transmission channels is not less than five;
selecting a corresponding transmission channel according to the capacity of the rescue video;
and confirming the residual capacity of the plurality of transmission channels, and selecting the transmission channel with the largest residual capacity as the transmission channel of the rescue video.
Specifically, the rescue video is subjected to picture framing through the rescue image optimization module, then the picture of each framing is optimized, the visual effect of the image can be improved, the definition and the quality of the image can be improved through the parameter adjustment of the skewness, the definition, the distortion degree and the resolution of the picture, the response speed of a webpage can also be improved, the user experience is improved, the optimized image file is smaller, the transmission on a network and the storage device are convenient to store, the transmission channel is selected through the rescue image uploading module, the data transmission efficiency and the data transmission stability are effectively improved, the residual capacity of a plurality of transmission channels is confirmed, and the transmission channel with the largest residual capacity of the transmission channel is selected as the transmission channel of the rescue video, so that the problem that the transmission efficiency is too slow due to the fact that the transmission capacity of the rescue video is too large and the capacity of the transmission channel is too small can be reduced.
In one embodiment, the controller adjusts the brightness of the adjustable lighting lamp according to the parameters in the acquired parameter data, including:
acquiring human body infrared signals in an adjustable lighting lamp installation environment according to the parameter data;
obtaining the maximum luminous flux and the minimum luminous flux of the adjustable illuminating lamp;
pre-constructing a network model, training the network model according to the maximum luminous flux of the adjustable illuminating lamp and the recommended human infrared signal quantity of the interval in which the minimum luminous flux is located, and obtaining a trained network model;
inputting the current quantity of human infrared signals corresponding to the parameter data into the trained network model to obtain the target luminous flux of the adjustable illuminating lamp;
detecting the current luminous flux of the adjustable lighting lamp, comparing the current luminous flux with the target luminous flux, and when the current luminous flux is larger than the target luminous flux and the difference value of the current luminous flux and the target luminous flux is within a preset range, determining that the brightness in the installation environment of the adjustable lighting lamp is insufficient when the current luminous flux is larger than the target luminous flux and the difference value of the current luminous flux and the target luminous flux is out of the preset range, and determining that the brightness in the installation environment of the adjustable lighting lamp is excessively sufficient when the current luminous flux is smaller than the target luminous flux;
acquiring adjustable output power of an adjustable illuminating lamp;
determining a brightness giving threshold value under each output power according to the adjustable output power and the corresponding illumination intensity;
determining a light supply-demand ratio corresponding to each output power based on a brightness giving threshold value at the output power;
when the brightness in the installation environment of the adjustable illuminating lamp is determined to be insufficient, a brightness compensation coefficient is determined according to the ambient brightness and the illumination brightness ratio of the adjustable illuminating lamp, a first output power is selected according to the brightness compensation coefficient and the illumination supply-demand ratio corresponding to each output power, when the brightness in the installation environment of the adjustable illuminating lamp is determined to be excessive and sufficient, a brightness attenuation coefficient is determined according to the ambient brightness and the illumination brightness ratio of the adjustable illuminating lamp, and a second output power is selected according to the brightness attenuation coefficient and the illumination supply-demand ratio corresponding to each output power;
and adjusting the current output power of the adjustable illuminating lamp to the first output power or the second output power to realize brightness adjustment.
The beneficial effects of the technical scheme are as follows: the illumination supply-demand ratio corresponding to each output power of the adjustable illuminating lamp is combined with the ambient brightness and the current illumination brightness of the adjustable illuminating lamp to determine the brightness supply requirement, so that reasonable output power is selected, the illumination effect inside the tunnel can be ensured, meanwhile, the energy loss caused by overlarge power and the life attenuation progress of the adjustable illuminating lamp can be avoided, the energy cost is saved, meanwhile, the equipment cost is also saved, and the practicability and the experience feeling of a user are improved.
In one embodiment, the system further comprises: the cleaning reminding unit is used for detecting the cleaning condition of the intelligent lighting equipment and sending cleaning reminding to staff according to the cleaning condition, and specifically comprises the following steps:
detecting a first dust density of the intelligent lighting apparatus and a current lighting intensity of the intelligent lighting apparatus:
calculating a current cleaning coefficient of the intelligent lighting apparatus according to the first dust density and the current lighting intensity:
the method comprises the steps of representing first dust density of intelligent lighting equipment, representing dust density in an environment where the intelligent lighting equipment is located, representing current lighting intensity of the intelligent lighting equipment, representing factory lighting intensity of the intelligent lighting equipment, representing material dust absorption index of the intelligent lighting equipment, representing natural logarithm, representing dust effect generating efficiency in a tunnel, representing dust effect dissipating efficiency in the tunnel and representing current cleaning coefficient of the intelligent lighting equipment;
comparing the current cleaning coefficient with a preset cleaning coefficient to obtain a comparison result;
if the comparison result is that the current cleaning coefficient is far more than the preset cleaning coefficient, a manual prompt for rapid cleaning is sent out, if the comparison result is that the current cleaning coefficient is less than the preset cleaning coefficient, a manual prompt for slow cleaning is sent out, and if the comparison result is that the current cleaning coefficient is far less than the preset cleaning coefficient, a prompt for unnecessary cleaning is sent out.
The beneficial effects of the technical scheme are as follows: the intelligent lighting equipment can be timely determined whether to clean the intelligent lighting equipment or not by calculating the current cleaning coefficient of the intelligent lighting equipment, so that the lighting effect in the tunnel can be further ensured, meanwhile, the visibility and the safety in the tunnel can be ensured, and the practicability and the reliability are further improved.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. The utility model provides a tunnel emergency rescue wisdom lighting control system which characterized in that includes:
the rescue environment data confirming unit is used for:
the method comprises the steps that a real-time monitoring device and an intelligent lighting device are equipped during tunnel rescue, the real-time monitoring device acquires rescue roads and rescue environment data in a rescue tunnel, and the intelligent lighting device is subjected to brightness scheme intervention according to the rescue environment data in the rescue tunnel;
an intelligent illumination parameter adjusting unit for:
the intelligent lighting device is subjected to brightness scheme based on the rescue environment data acquired in the rescue environment data confirmation unit, parameters of the brightness scheme are extracted, the extracted scheme parameters are imported into the intelligent lighting device, and the intelligent lighting device automatically adjusts the brightness according to the brightness scheme;
rescue real-time monitoring processing unit for:
acquiring a rescue picture according to the real-time monitoring device, acquiring the personnel density and the personnel position of the rescue picture, and simultaneously, performing real-time voice broadcasting through a wireless voice device on the real-time monitoring device when the personnel density and the personnel position are acquired;
the real-time monitoring data reporting unit is used for:
and carrying out image optimization on the rescue picture based on the personnel density and the rescue picture of the personnel position obtained in the rescue real-time monitoring processing unit, and uploading the optimized image data, wherein a transmission channel with the highest transmission speed is automatically selected during data uploading.
2. The tunnel emergency rescue intelligent lighting control system according to claim 1, wherein: the rescue environment data confirmation unit includes:
the rescue device terminal connection module is used for;
the rescue device comprises a real-time monitoring device and an intelligent lighting device;
the signal output ends and the signal input ends of the real-time monitoring device and the intelligent lighting device are respectively connected with each other, and the signal output ends of the real-time monitoring device and the intelligent lighting device are electrically connected with the control terminal.
3. The tunnel emergency rescue intelligent lighting control system according to claim 2, wherein: the rescue environment data confirmation unit further includes:
the rescue environment data confirmation module is used for:
rescue environment data includes geographic data, weather data, traffic data, communication data, environmental change data, material data, medical data, and disaster data;
acquiring environmental change data in the tunnel in real time according to the rescue environmental data;
generating parameter data from the environmental change data after the acquisition;
the parameter data includes a luminous flux parameter, a light efficiency parameter, a beam angle parameter, a color rendering index parameter, and a color temperature parameter.
4. A tunnel emergency rescue intelligent lighting control system as claimed in claim 3, wherein: the intelligent lighting device comprises a photosensitive sensor, an inductor, a controller, an adjustable lighting lamp and an electric quantity broadcasting device;
the photosensitive sensor acquires the parameter data and sends a plurality of parameters in the parameter data to the controller through signals;
the controller adjusts the brightness of the adjustable illuminating lamp according to the parameters in the acquired parameter data;
and the parameter data is adjusted according to the real-time environmental change data;
after the environment transformation data are adjusted, generating adjusted parameter data, and sending the generated parameter data to the intelligent lighting device;
the electric quantity broadcasting device monitors the electric quantity consumption condition of the intelligent lighting device in real time;
when the electric quantity of the intelligent lighting device is lower than a preset electric quantity value, the intelligent lighting device carries out alarm reminding.
5. The tunnel emergency rescue intelligent lighting control system according to claim 4, wherein: the rescue real-time monitoring processing unit comprises:
personnel density monitoring module for:
detecting the brightness of the real-time monitoring device according to the parameter data, and selecting an adaptive brightness compensation function according to the detection result;
compensating the rescue picture monitored by the real-time monitoring device by utilizing a brightness compensation function to obtain compensated monitoring data;
carrying out framing treatment on the compensated monitoring data to obtain a treatment result;
extracting characteristic points of each frame of image in the processing result to obtain a characteristic point extraction result;
comparing the feature point extraction results of each frame of image, and selecting the feature points of the target person appearing in each frame of image;
confirming the current personnel number parameters in the compensated monitoring data according to the target person feature points;
and taking the personnel number parameter in the monitoring data as the final personnel number in the monitoring data.
6. The tunnel emergency rescue intelligent lighting control system according to claim 5, wherein: the rescue real-time monitoring processing unit further comprises:
a personnel position confirmation module for:
based on the personnel number data acquired in the personnel density monitoring module, carrying out data correspondence on the personnel data and rescue environment data;
confirming specific longitude and latitude data in the personnel quantity data according to geographic data acquired from rescue environment data;
inputting the specific longitude and latitude data into a time axis, and generating dynamic data;
and extracting the position characteristics corresponding to each person in the personnel data from the dynamic data, and determining the longitude and latitude data of each person according to the position characteristics.
7. The tunnel emergency rescue intelligent lighting control system according to claim 6, wherein: the real-time monitoring data reporting unit comprises:
the rescue image optimization module is used for:
acquiring rescue videos in the tunnel acquired by the real-time monitoring device;
framing the acquired rescue video, and framing the rescue video into a plurality of picture data;
optimizing the image quality of each picture data, wherein the image quality is optimized by adjusting parameters of skewness, definition, distortion and resolution of the image;
after the image quality is optimized, video generation is carried out on each image;
and finally generating the optimized rescue video.
8. The tunnel emergency rescue intelligent lighting control system according to claim 7, wherein: the real-time monitoring data reporting unit further comprises:
the rescue image uploading module is used for:
confirming the capacity of the rescue video based on the rescue video acquired in the rescue image optimization module;
acquiring channel residual capacity and channel total capacity data of transmission channels, wherein the number of the transmission channels is not less than five;
selecting a corresponding transmission channel according to the capacity of the rescue video;
and confirming the residual capacity of the plurality of transmission channels, and selecting the transmission channel with the largest residual capacity as the transmission channel of the rescue video.
9. The tunnel emergency rescue intelligent lighting control system according to claim 4, wherein: the controller adjusts the brightness of the adjustable lighting lamp according to the parameters in the acquired parameter data, and the controller comprises:
acquiring human body infrared signals in an adjustable lighting lamp installation environment according to the parameter data;
obtaining the maximum luminous flux and the minimum luminous flux of the adjustable illuminating lamp;
pre-constructing a network model, training the network model according to the maximum luminous flux of the adjustable illuminating lamp and the recommended human infrared signal quantity of the interval in which the minimum luminous flux is located, and obtaining a trained network model;
inputting the current quantity of human infrared signals corresponding to the parameter data into the trained network model to obtain the target luminous flux of the adjustable illuminating lamp;
detecting the current luminous flux of the adjustable lighting lamp, comparing the current luminous flux with the target luminous flux, and when the current luminous flux is larger than the target luminous flux and the difference value of the current luminous flux and the target luminous flux is within a preset range, determining that the brightness in the installation environment of the adjustable lighting lamp is insufficient when the current luminous flux is larger than the target luminous flux and the difference value of the current luminous flux and the target luminous flux is out of the preset range, and determining that the brightness in the installation environment of the adjustable lighting lamp is excessively sufficient when the current luminous flux is smaller than the target luminous flux;
acquiring adjustable output power of an adjustable illuminating lamp;
determining a brightness giving threshold value under each output power according to the adjustable output power and the corresponding illumination intensity;
determining a light supply-demand ratio corresponding to each output power based on a brightness giving threshold value at the output power;
when the brightness in the installation environment of the adjustable illuminating lamp is determined to be insufficient, a brightness compensation coefficient is determined according to the ambient brightness and the illumination brightness ratio of the adjustable illuminating lamp, a first output power is selected according to the brightness compensation coefficient and the illumination supply-demand ratio corresponding to each output power, when the brightness in the installation environment of the adjustable illuminating lamp is determined to be excessive and sufficient, a brightness attenuation coefficient is determined according to the ambient brightness and the illumination brightness ratio of the adjustable illuminating lamp, and a second output power is selected according to the brightness attenuation coefficient and the illumination supply-demand ratio corresponding to each output power;
and adjusting the current output power of the adjustable illuminating lamp to the first output power or the second output power to realize brightness adjustment.
10. The tunnel emergency rescue intelligent lighting control system according to claim 1, wherein: the system further comprises: the cleaning reminding unit is used for detecting the cleaning condition of the intelligent lighting equipment and sending cleaning reminding to staff according to the cleaning condition, and specifically comprises the following steps:
detecting a first dust density of the intelligent lighting apparatus and a current lighting intensity of the intelligent lighting apparatus:
calculating a current cleaning coefficient of the intelligent lighting apparatus according to the first dust density and the current lighting intensity:
the method comprises the steps of representing first dust density of intelligent lighting equipment, representing dust density in an environment where the intelligent lighting equipment is located, representing current lighting intensity of the intelligent lighting equipment, representing factory lighting intensity of the intelligent lighting equipment, representing material dust absorption index of the intelligent lighting equipment, representing natural logarithm, representing dust effect generating efficiency in a tunnel, representing dust effect dissipating efficiency in the tunnel and representing current cleaning coefficient of the intelligent lighting equipment;
comparing the current cleaning coefficient with a preset cleaning coefficient to obtain a comparison result;
if the comparison result is that the current cleaning coefficient is far more than the preset cleaning coefficient, a manual prompt for rapid cleaning is sent out, if the comparison result is that the current cleaning coefficient is less than the preset cleaning coefficient, a manual prompt for slow cleaning is sent out, and if the comparison result is that the current cleaning coefficient is far less than the preset cleaning coefficient, a prompt for unnecessary cleaning is sent out.
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| CN202311591102.0A CN117295211A (en) | 2023-11-27 | 2023-11-27 | Intelligent lighting control system for tunnel emergency rescue |
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| CN115002150A (en) * | 2022-05-05 | 2022-09-02 | 连云港屋托帮文化传媒有限公司 | Intelligent community intelligent epidemic situation management and control system and method |
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| CN108757042A (en) * | 2018-06-29 | 2018-11-06 | 中国矿业大学 | It is a kind of based on wireless portable emergency rescue system |
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Application publication date: 20231226 |