CN115439988B - Urban collaborative safety monitoring system based on street lamp networking - Google Patents
Urban collaborative safety monitoring system based on street lamp networking Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
- G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
- G08B5/36—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission using visible light sources
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V33/00—Structural combinations of lighting devices with other articles, not otherwise provided for
- F21V33/0064—Health, life-saving or fire-fighting equipment
- F21V33/0076—Safety or security signalisation, e.g. smoke or burglar alarms, earthquake detectors; Self-defence devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/343—Calculating itineraries, i.e. routes leading from a starting point to a series of categorical destinations using a global route restraint, round trips, touristic trips
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
- G06V20/625—License plates
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/002—Generating a prealarm to the central station
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21W—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES F21K, F21L, F21S and F21V, RELATING TO USES OR APPLICATIONS OF LIGHTING DEVICES OR SYSTEMS
- F21W2131/00—Use or application of lighting devices or systems not provided for in codes F21W2102/00-F21W2121/00
- F21W2131/10—Outdoor lighting
- F21W2131/103—Outdoor lighting of streets or roads
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- 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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Abstract
The invention discloses a city collaborative safety monitoring system based on street lamp networking, which comprises street lamps, a background server, an image acquisition end and a plurality of area control ends, wherein each area control end corresponds to a monitoring area, each monitoring area comprises a plurality of street lamps, and the image acquisition end is a monitoring camera pre-installed in a community; the background server is used for receiving the alarm signal, acquiring alarm information according to the alarm signal, and then sending the alarm information to an area control end corresponding to the monitoring area, wherein the alarm information comprises alarm position information; the background server is also used for sending rescue information to the regional control end, wherein the rescue information is a travel route of the rescue vehicle; the area control end comprises an area dividing module, the area dividing module is used for receiving alarm information, dividing a first alarm area and a second alarm area according to the alarm information, sending a first color switching signal to the street lamps in the first alarm area, and sending a second color switching signal to the street lamps in the second alarm area.
Description
Technical Field
The invention relates to the technical field of urban security, in particular to an urban collaborative security monitoring system based on street lamp networking.
Background
Along with the development of technology, the development of smart cities is more and more improved. The intelligent city is to make the city more intelligent, connect the ubiquitous intelligent sensor implanted in various buildings of city to form the internet of things through the network, realize the comprehensive perception to physical city, utilize technologies such as cloud computing to carry out intelligent processing and analysis to the perception information, realize the integration of digital city and internet of things on the network, and send out the instruction, make intelligent response and intelligent decision support to various demands including government affairs, folk life, environment, public security, city service, business activity etc., whether it is smart grid or smart city, be based on intelligent perception, intelligent decision, intelligent computing's specific application of internet of things.
Street lamps, which are important public facilities for residents to provide illumination, have the characteristics of wide distribution, multiple numbers and the like, can be extended to all corners of cities, and urban illumination is an important urban infrastructure, so that the street lamps are combined with the Internet of things to help the development of smart cities. However, the combination of the existing street lamp and the internet of things is to only install various sensors on the street lamp to cooperatively monitor the surrounding environment, when a fire disaster and underground pipeline leakage occur, abnormal data uploading early warning is detected, especially in a city district at night, the visibility is low, most residents are in the district and are difficult to find emergency situations in time, at this moment, the cooperative monitoring of the street lamp can play an important role, but the street lamp can only play a monitoring role, the function is extremely single, even if the emergency situations are monitored, due to the complex environment in the district, the parked vehicles are difficult to arrive timely by rescue workers, and the rescue efficiency is affected.
Disclosure of Invention
The invention aims to provide a city collaborative safety monitoring system based on street lamp networking, which has the advantages of being capable of effectively networking management and improving the intelligent degree.
The technical aim of the invention is realized by the following technical scheme:
a city collaborative safety monitoring system based on street lamp networking is characterized by comprising street lamps, a background server, an image acquisition end and a plurality of area control ends, wherein each area control end corresponds to a monitoring area, each monitoring area comprises a plurality of street lamps,
the image acquisition end is a monitoring camera which is pre-installed in the cell;
the background server is used for receiving the alarm signal, acquiring alarm information according to the alarm signal, and then sending the alarm information to an area control end corresponding to the monitoring area, wherein the alarm information comprises alarm position information; the background server is also used for sending rescue information to the area control end, wherein the rescue information is a travel route of a rescue vehicle;
the area control end comprises an area dividing module, wherein the area dividing module is used for receiving alarm information, dividing a first alarm area and a second alarm area according to the alarm information, sending a first color switching signal to the street lamps in the first alarm area and sending a second color switching signal to the street lamps in the second alarm area;
the street lamp comprises an illumination assembly, a data acquisition monitoring module, an illumination control module and a sound detection module, wherein the illumination assembly is used for providing illumination light; the data acquisition monitoring module is used for acquiring environmental data around the street lamp, preprocessing the environmental data, judging whether the environmental data is abnormal, and sending an alarm signal to the background server if the environmental data is abnormal; the sound detection module receives the guide signal and then sends a third color switching signal to the color switching module when detecting that the special warning sound enters a preset range, wherein the special warning sound is an alarm sound sent by a rescue vehicle; the illumination control module is used for controlling the illumination assembly to switch illumination light rays with different colors according to the received first color switching signal, the second color switching signal or the third color switching signal;
the area control end further comprises a guiding module, the guiding module comprises a triggering sub-module, a planning sub-module and a signal sending sub-module, the triggering sub-module is used for receiving rescue information and determining a starting point coordinate according to the rescue information, the starting point coordinate is the position of a street lamp closest to a traveling route of a rescue vehicle in a second warning area, then a real-time image in the second warning area is acquired through an image acquisition end, the planning sub-module generates a rescue path according to the starting point coordinate, the real-time image and alarm information, and the signal sending sub-module sends a guiding signal to the street lamp on the rescue path according to the rescue path;
the regional control end further comprises a route dredging module, wherein the route dredging module is used for dredging vehicles on the rescue path according to the rescue path and the real-time image;
the dividing the first warning area and the second warning area according to the warning information specifically comprises:
taking the alarm position information as an alarm coordinate, taking the alarm coordinate as a circle center, and taking a circular area formed by taking a preset alarm distance as a radius as an alarm area;
selecting four street lamps closest to the warning coordinate in four different directions by taking the warning coordinate as an origin as first demarcation street lamps, wherein a quadrilateral area surrounded by the four first demarcation street lamps is the first warning area;
the other areas outside the first warning area and inside the warning area are second warning areas.
Further set up: the route dredging module comprises an image analysis sub-module and a license plate acquisition sub-module,
defining an area between two adjacent street lamps on a rescue path as a dredging area, acquiring a monitoring image in each dredging area by an image acquisition end by the image analysis submodule to analyze, judging whether a vehicle blocks the rescue path, if so, marking the vehicle as a target vehicle and sending a trigger signal to a license plate acquisition submodule;
and after receiving the trigger signal, the license plate acquisition submodule acquires the license plate number of the identification target vehicle through the image acquisition end, generates dredging information and sends the dredging information to the background server, and an operator contacts the owner of the target vehicle through the dredging information received by the background server to move the vehicle.
Further set up: the license plate acquisition submodule comprises a triggering unit, a video acquisition unit and an image processing unit,
the triggering unit receives the triggering signal, generates a light-dark switching signal and sends the light-dark switching signal to street lamps at two sides of a dredging area where a target vehicle is located, wherein the light-dark switching signal comprises a first switching time and a second switching time, and an illumination control module of the street lamps controls an illumination assembly to adjust to a preset middle brightness at intervals of the first switching time after receiving the light-dark switching signal; the first switching time is used for controlling the lighting assembly to be turned off after the lighting assembly is switched to the middle brightness; the lighting assembly is controlled to be turned on to be restored to a state before the light-dark switching signal is received by a second switching time after being turned off;
the video acquisition unit acquires an image to be processed through an image acquisition end, wherein the image to be processed comprises a bright field image, a dark field image and an intermediate image, the bright field image is any frame of image before the lighting assembly is adjusted to the intermediate brightness, the intermediate image is any frame of image in a preset acquisition period after the lighting assembly is switched to the intermediate brightness, and the dark field image is any frame of image in the preset acquisition period after the lighting assembly is turned off;
the image processing unit identifies the license plate number of the target vehicle according to the bright field image, the dark field image and the intermediate image.
Further set up: the image processing unit comprises a license plate positioning subunit, a license plate recognition subunit and a region positioning subunit, wherein the license plate positioning subunit respectively extracts a bright domain license plate region image, a dark domain license plate region image and a license plate region image in an intermediate image according to a deep learning algorithm and obtains a bright domain license plate region, a dark domain license plate region and an intermediate license plate region; the region positioning subunit determines a license plate region to be identified according to the comparison of the bright-domain license plate region, the dark-domain license plate region and the middle license plate region; and the license plate recognition subunit performs character recognition on the license plate region to be recognized to obtain the license plate number of the target vehicle.
Further set up: the alarm signal comprises a detection alarm signal and an active alarm signal, the alarm signal sent to the background server by the data acquisition monitoring module is the detection alarm signal, and the alarm receiving center generates the active alarm signal after receiving the alarm call actively dialed by the citizen and sends the active alarm signal to the background server.
Further set up: the data acquisition monitoring module comprises a sensor assembly and a monitoring sub-module, the sensor assembly specifically comprises a smoke sensor, a water level sensor, a humidity sensor, an oxygen concentration sensor and a temperature sensor, the environmental data comprises smoke sensor data, water level data, humidity data, oxygen data and temperature data, the monitoring sub-module is used for acquiring the environmental data acquired by the sensor assembly and comparing the environmental threshold data preset by the acquired environmental data, and if any environmental data is larger than the preset environmental threshold data, a detection alarm signal is sent to a background server.
Further set up: the data acquisition monitoring module further comprises a toxic gas detection submodule, and the toxic gas detection submodule specifically comprises H 2 S sensor, CO sensor and NH 3 Sensor and CH 4 And the toxic gas detection submodule is preset with a threshold concentration, and one or more of the toxic gas detection submodules sends a detection alarm signal to the background server when detecting that the concentration exceeds the threshold concentration.
Further set up: the data transmission between the area control end and the street lamp is wired transmission, and the data transmission between the area control end and the background server is wireless transmission.
Further set up: the street lamp further comprises an audio playing unit, the area control end further comprises a prompt module, the prompt module is used for generating prompt audio according to the alarm information, and the audio playing unit is used for playing the prompt audio.
In summary, the invention has the following beneficial effects: the data acquisition monitoring module arranged on the street lamp monitors the environmental data around the street lamp, and can send an alarm signal to the background server at the first time when the environmental data is detected to be abnormal, and early warning is timely carried out on an emergency condition, so that people do not need to wait until the condition is found to alarm and then take rescue measures, and the emergency condition processing efficiency is improved. The first warning area and the second warning area are divided according to the warning position information after the warning information is received by the setting area dividing module, the first color switching signal is sent to the street lamps in the first warning area, the second color switching signal is sent to the street lamps in the second warning area, the warning area can be divided according to the emergency position at the first time when the emergency occurs, and meanwhile, the street lamps in the first warning area and the second warning area are controlled to be respectively converted into different colors from the normal working street lamps, so that nearby residents are warned to be far away from the emergency position, the danger is avoided, and meanwhile, the crowd is warned to be far away from the warning area when the residents are warned to cause influence on the entrance of rescue vehicles. Before the rescue vehicle arrives, the guiding module plans the rescue path in advance according to the travel route of the rescue vehicle, and meanwhile, the vehicles on the rescue path are linked and dredged in advance through the route dredging module, so that the smooth travel of the rescue vehicle is ensured, and the best rescue time for an emergency is avoided from being missed by traffic jam.
Drawings
Fig. 1 is a block diagram of an embodiment.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Examples:
as shown in fig. 1, the urban collaborative safety monitoring system based on street lamp networking comprises street lamps, a background server, an image acquisition end and a plurality of area control ends, wherein each area control end corresponds to a monitoring area, each monitoring area comprises a plurality of street lamps,
the image acquisition end is a monitoring camera which is pre-installed in the cell; in order to ensure the living and living safety of residents, each cell in the city can be provided with a monitoring camera at each corner of the cell, and the monitoring camera originally pre-arranged in the cell is used as an image acquisition end, so that the implementation and operation cost of the system can be reduced, and the resource waste is reduced.
The background server is used for receiving the alarm signal, acquiring alarm information according to the alarm signal, and then sending the alarm information to an area control end corresponding to the monitoring area, wherein the alarm information comprises alarm position information; the background server is also used for sending rescue information to the area control end, wherein the rescue information is a travel route of a rescue vehicle; the alarm signal comprises a detection alarm signal and an active alarm signal, the alarm signal sent to the background server by the data acquisition monitoring module is the detection alarm signal, and the alarm receiving center generates the active alarm signal after receiving the alarm call actively dialed by the citizen and sends the active alarm signal to the background server.
The area control end comprises an area dividing module, wherein the area dividing module is used for receiving alarm information, dividing a first alarm area and a second alarm area according to the alarm information, sending a first color switching signal to the street lamps in the first alarm area and sending a second color switching signal to the street lamps in the second alarm area; the dividing the first warning area and the second warning area according to the warning information specifically comprises:
taking the alarm position information as an alarm coordinate, taking the alarm coordinate as a circle center, and taking a circular area formed by taking a preset alarm distance as a radius as an alarm area;
selecting four street lamps closest to the warning coordinate in four different directions by taking the warning coordinate as an origin as first demarcation street lamps, wherein a quadrilateral area surrounded by the four first demarcation street lamps is the first warning area;
the other areas outside the first warning area and inside the warning area are second warning areas.
The street lamp that can the first time according to emergency emergence's position partition warning when taking place the emergency, control first warning area and second warning area simultaneously changes the colour different with normal work's street lamp respectively to the resident nearby is kept away from the position that takes place the emergency to warn, avoids the danger of being involved in, and crowd crowds have also been avoided crowded entering to cause the influence to the rescue vehicle when warning resident evacuation is kept away from warning area simultaneously.
The street lamp comprises an illumination assembly, a data acquisition monitoring module, an illumination control module and a sound detection module, wherein the illumination assembly is used for providing illumination light; the data acquisition monitoring module is used for acquiring environmental data around the street lamp and preprocessing the environmental data, judging whether the environmental data are abnormal, and sending an alarm signal to the background server if the environmental data are abnormal. The data acquisition monitoring module comprises a sensor group and a monitoring submodule, the sensor group specifically comprises a smoke sensor, a water level sensor, a humidity sensor, an oxygen concentration sensor and a temperature sensor, and the data acquisition monitoring module comprises a sensor group and a monitoring submoduleThe environment data comprises smoke sensing data, water level data, humidity data, oxygen data and temperature data, the monitoring submodule is used for acquiring the environment data acquired by the sensor assembly, comparing the environment threshold value data preset by the acquired environment data, and sending a detection alarm signal to the background server if any one of the environment data is larger than the preset environment threshold value data. The sensor group can monitor smoke sensing data, water level data, humidity data, oxygen data and temperature data, and through the monitoring of the data, the sensor group can report and rescue accidents such as ponding and fire disaster in time. The data acquisition monitoring module further comprises a toxic gas detection submodule, and the toxic gas detection submodule specifically comprises H 2 S sensor, CO sensor and NH 3 Sensor and CH 4 And the toxic gas detection submodule is preset with a threshold concentration, and one or more of the toxic gas detection submodules sends a detection alarm signal to the background server when detecting that the concentration exceeds the threshold concentration. The toxic gas detection submodule monitors various toxic and harmful gases which are harmful to the health of residents, and when the conditions of leakage of sewer pipes, toxic gases generated by burning special materials and the like occur, an alarm is timely sent out, the residents are prevented from inhaling the toxic and harmful gases, the leakage and diffusion of the toxic and harmful gases tend to cover a wider area and are difficult to find, and therefore the toxic gas detection submodule can better protect the health and safety of the residents.
The sound detection module receives the guide signal and then sends a third color switching signal to the color switching module when detecting that the special warning sound enters a preset range, wherein the special warning sound is an alarm sound sent by a rescue vehicle; the illumination control module is used for controlling the illumination assembly to switch illumination light rays with different colors according to the received first color switching signal, the second color switching signal or the third color switching signal; the road lamp color on the rescue path is switched to the third color, the function of the existing road lamp is used as a guiding function, and the traveling route of the rescue vehicle is guided according to different colors, so that the rescue vehicle can quickly reach the position where the emergency occurs in the complex district environment, other equipment is not required to be additionally installed, and additional cost is not required while the rescue speed is improved.
The area control end further comprises a guiding module, the guiding module comprises a triggering sub-module, a planning sub-module and a signal sending sub-module, the triggering sub-module is used for receiving rescue information and determining a starting point coordinate according to the rescue information, the starting point coordinate is the position of a street lamp closest to a traveling route of a rescue vehicle in a second warning area, then a real-time image in the second warning area is acquired through an image acquisition end, the planning sub-module generates a rescue path according to the starting point coordinate, the real-time image and alarm information, and the signal sending sub-module sends a guiding signal to the street lamp on the rescue path according to the rescue path;
the regional control end further comprises a route dredging module, and the route dredging module is used for dredging vehicles on the rescue path according to the rescue path and the real-time image.
The route dredging module comprises an image analysis sub-module and a license plate acquisition sub-module, an area between two adjacent street lamps on a rescue path is defined as a dredging area, the image analysis sub-module acquires a monitoring image in each dredging area through an image acquisition end to analyze, judges whether a vehicle blocks the rescue path, marks the vehicle as a target vehicle if the vehicle blocks the rescue path, and sends a trigger signal to the license plate acquisition sub-module;
and after receiving the trigger signal, the license plate acquisition submodule acquires the license plate number of the identification target vehicle through the image acquisition end, generates dredging information and sends the dredging information to the background server, and an operator contacts the owner of the target vehicle through the dredging information received by the background server to move the vehicle. And an operator acquires the number of the owner of the target vehicle from the background server through the license plate number in the dredging information to contact, so as to inform the owner of moving the vehicle away as soon as possible, and avoid delaying the travel of the rescue vehicle.
The license plate acquisition submodule comprises a triggering unit, a video acquisition unit and an image processing unit,
the triggering unit receives the triggering signal, generates a light-dark switching signal and sends the light-dark switching signal to street lamps at two sides of a dredging area where a target vehicle is located, wherein the light-dark switching signal comprises a first switching time and a second switching time, and an illumination control module of the street lamps controls an illumination assembly to adjust to a preset middle brightness at intervals of the first switching time after receiving the light-dark switching signal; the first switching time is used for controlling the lighting assembly to be turned off after the lighting assembly is switched to the middle brightness; the lighting assembly is controlled to be turned on to be restored to a state before the light-dark switching signal is received by a second switching time after being turned off;
the video acquisition unit acquires an image to be processed through an image acquisition end, wherein the image to be processed comprises a bright field image, a dark field image and an intermediate image, the bright field image is any frame of image before the lighting assembly is adjusted to the intermediate brightness, the intermediate image is any frame of image in a preset acquisition period after the lighting assembly is switched to the intermediate brightness, and the dark field image is any frame of image in the preset acquisition period after the lighting assembly is turned off;
the image processing unit identifies the license plate number of the target vehicle according to the bright field image, the dark field image and the intermediate image. The image processing unit comprises a license plate positioning subunit, a license plate recognition subunit and a region positioning subunit, wherein the license plate positioning subunit respectively extracts a bright domain license plate region image, a dark domain license plate region image and a license plate region image in an intermediate image according to a deep learning algorithm and obtains a bright domain license plate region, a dark domain license plate region and an intermediate license plate region; the region positioning subunit determines a license plate region to be identified according to the comparison of the bright-domain license plate region, the dark-domain license plate region and the middle license plate region; and the license plate recognition subunit performs character recognition on the license plate region to be recognized to obtain the license plate number of the target vehicle. Because the light at night is only provided by the street lamp, and because of the influence of the color, the brightness and the irradiation angle of the street lamp, the reflection of various impurities with different materials placed in a cell to the light is added with the complex environment in the cell, the license plate number of a target vehicle is difficult to accurately obtain by the existing common license plate recognition algorithm, the license plate area is difficult to determine in the recognition process, and the license plate or the like of a storage battery car or a billboard, a shop signboard and the like can be mistakenly recognized as the license plate, so that the wrong license plate number can be obtained, the bright field image, the dark field image and the intermediate image with different brightness are obtained through the change of the brightness of the street lamp, the license plate area is determined by combining three images according to the image depth, the recognition efficiency and the recognition accuracy of the license plate number of the target vehicle are avoided, and the vehicle evacuation efficiency is improved.
The data transmission between the area control end and the street lamp is wired transmission, and the data transmission between the area control end and the background server is wireless transmission. The street lamp further comprises an audio playing unit, the area control end further comprises a prompt module, the prompt module is used for generating prompt audio according to the alarm information, and the audio playing unit is used for playing the prompt audio.
The above-described embodiments do not limit the scope of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the above embodiments should be included in the scope of the present invention.
Claims (9)
1. A city collaborative safety monitoring system based on street lamp networking is characterized by comprising street lamps, a background server, an image acquisition end and a plurality of area control ends, wherein each area control end corresponds to a monitoring area, each monitoring area comprises a plurality of street lamps,
the image acquisition end is a monitoring camera which is pre-installed in the cell;
the background server is used for receiving the alarm signal, acquiring alarm information according to the alarm signal, and then sending the alarm information to an area control end corresponding to the monitoring area, wherein the alarm information comprises alarm position information; the background server is also used for sending rescue information to the area control end, wherein the rescue information is a travel route of a rescue vehicle;
the area control end comprises an area dividing module, wherein the area dividing module is used for receiving alarm information, dividing a first alarm area and a second alarm area according to the alarm information, sending a first color switching signal to the street lamps in the first alarm area and sending a second color switching signal to the street lamps in the second alarm area;
the street lamp comprises an illumination assembly, a data acquisition monitoring module, an illumination control module and a sound detection module, wherein the illumination assembly is used for providing illumination light; the data acquisition monitoring module is used for acquiring environmental data around the street lamp, preprocessing the environmental data, judging whether the environmental data is abnormal, and sending an alarm signal to the background server if the environmental data is abnormal; the sound detection module receives the guide signal and then sends a third color switching signal to the color switching module when detecting that the special warning sound enters a preset range, wherein the special warning sound is an alarm sound sent by a rescue vehicle; the illumination control module is used for controlling the illumination assembly to switch illumination light rays with different colors according to the received first color switching signal, the second color switching signal or the third color switching signal;
the area control end further comprises a guiding module, the guiding module comprises a triggering sub-module, a planning sub-module and a signal sending sub-module, the triggering sub-module is used for receiving rescue information and determining a starting point coordinate according to the rescue information, the starting point coordinate is the position of a street lamp closest to a traveling route of a rescue vehicle in a second warning area, then a real-time image in the second warning area is acquired through an image acquisition end, the planning sub-module generates a rescue path according to the starting point coordinate, the real-time image and alarm information, and the signal sending sub-module sends a guiding signal to the street lamp on the rescue path according to the rescue path;
the regional control end further comprises a route dredging module, wherein the route dredging module is used for dredging vehicles on the rescue path according to the rescue path and the real-time image;
the dividing the first warning area and the second warning area according to the warning information specifically comprises:
taking the alarm position information as an alarm coordinate, taking the alarm coordinate as a circle center, and taking a circular area formed by taking a preset alarm distance as a radius as an alarm area;
selecting four street lamps closest to the warning coordinate in four different directions by taking the warning coordinate as an origin as first demarcation street lamps, wherein a quadrilateral area surrounded by the four first demarcation street lamps is the first warning area;
the other areas outside the first warning area and inside the warning area are second warning areas.
2. The urban collaborative safety monitoring system based on street lamp networking according to claim 1, wherein the route dredging module comprises an image analysis sub-module and a license plate acquisition sub-module,
defining an area between two adjacent street lamps on a rescue path as a dredging area, acquiring a monitoring image in each dredging area by an image acquisition end by the image analysis submodule to analyze, judging whether a vehicle blocks the rescue path, if so, marking the vehicle as a target vehicle and sending a trigger signal to a license plate acquisition submodule;
and after receiving the trigger signal, the license plate acquisition submodule acquires the license plate number of the identification target vehicle through the image acquisition end, generates dredging information and sends the dredging information to the background server, and an operator contacts the owner of the target vehicle through the dredging information received by the background server to move the vehicle.
3. The urban collaborative security detection system based on street lamp networking according to claim 2, wherein the license plate acquisition submodule comprises a triggering unit, a video acquisition unit and an image processing unit,
the triggering unit receives the triggering signal, generates a light-dark switching signal and sends the light-dark switching signal to street lamps at two sides of a dredging area where a target vehicle is located, wherein the light-dark switching signal comprises a first switching time and a second switching time, and an illumination control module of the street lamps controls an illumination assembly to adjust to a preset middle brightness at intervals of the first switching time after receiving the light-dark switching signal; the first switching time is used for controlling the lighting assembly to be turned off after the lighting assembly is switched to the middle brightness; the lighting assembly is controlled to be turned on to be restored to a state before the light-dark switching signal is received by a second switching time after being turned off;
the video acquisition unit acquires an image to be processed through an image acquisition end, wherein the image to be processed comprises a bright field image, a dark field image and an intermediate image, the bright field image is any frame of image before the lighting assembly is adjusted to the intermediate brightness, the intermediate image is any frame of image in a preset acquisition period after the lighting assembly is switched to the intermediate brightness, and the dark field image is any frame of image in the preset acquisition period after the lighting assembly is turned off;
the image processing unit identifies the license plate number of the target vehicle according to the bright field image, the dark field image and the intermediate image.
4. The urban collaborative safety monitoring system based on street lamp networking according to claim 3, wherein the image processing unit comprises a license plate positioning subunit, a license plate recognition subunit and a region positioning subunit, wherein the license plate positioning subunit respectively extracts a bright domain license plate region, a dark domain license plate region and a middle license plate region in the bright domain image, the dark domain image and the middle image according to a deep learning algorithm to obtain the bright domain license plate region, the dark domain license plate region and the middle license plate region; the region positioning subunit determines a license plate region to be identified according to the comparison of the bright-domain license plate region, the dark-domain license plate region and the middle license plate region; and the license plate recognition subunit performs character recognition on the license plate region to be recognized to obtain the license plate number of the target vehicle.
5. The urban collaborative safety monitoring system based on street lamp networking according to claim 1, wherein the alarm signals comprise detection alarm signals and active alarm signals, the alarm signals sent to the background server by the data acquisition monitoring module are detection alarm signals, and the alarm receiving center receives alarm calls actively dialed by citizens, generates active alarm signals and sends the active alarm signals to the background server.
6. The urban collaborative safety monitoring system based on street lamp networking according to claim 5, wherein the data acquisition monitoring module comprises a sensor assembly and a monitoring sub-module, the sensor assembly specifically comprises a smoke sensor, a water level sensor, a humidity sensor, an oxygen concentration sensor and a temperature sensor, the environmental data comprises smoke sensor data, water level data, humidity data, oxygen data and temperature data, the monitoring sub-module is used for acquiring the environmental data acquired by the sensor assembly, comparing the environmental threshold data preset by the acquired environmental data, and sending a detection alarm signal to a background server if any environmental data is larger than the preset environmental threshold data.
7. The urban collaborative safety monitoring system based on street lamp networking according to claim 6, wherein the data acquisition monitoring module further comprises a toxic gas detection submodule, the toxic gas detection submodule specifically comprises an H 2 S sensor, CO sensor and NH 3 Sensor and CH 4 And the toxic gas detection submodule is preset with a threshold concentration, and one or more of the toxic gas detection submodules sends a detection alarm signal to the background server when detecting that the concentration exceeds the threshold concentration.
8. The urban collaborative safety monitoring system based on street lamp networking according to claim 1, wherein data transmission between the regional control end and the street lamp is wired transmission, and data transmission between the regional control end and the background server is wireless transmission.
9. The urban collaborative safety monitoring system based on street lamp networking according to claim 1, wherein the street lamp further comprises an audio playing unit, the regional control end further comprises a prompt module, the prompt module is used for generating prompt audio according to the alarm information, and the audio playing unit is used for playing the prompt audio.
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Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000265428A (en) * | 1999-03-19 | 2000-09-26 | Shinsei Seiki Co Ltd | Chain gate |
| DE202005016341U1 (en) * | 2005-10-19 | 2005-12-29 | Braun, Gerhard | Traffic light type indicator, has sound level sensor finding air quality based on actual portion of component except for oxygen or actual oxygen portion in air and controlling signal releasing device that releases warning signal |
| 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 |
| CN102840455A (en) * | 2012-07-13 | 2012-12-26 | 袁朋 | Multifunctional mobile illumination signal mining lamp |
| CN103116996A (en) * | 2013-01-25 | 2013-05-22 | 中南大学 | Tunnel illumination and security system |
| CN106224866A (en) * | 2016-09-21 | 2016-12-14 | 深圳市锐视全彩科技有限公司 | A kind of Multifunction wisdom lamp stand system |
| KR101729521B1 (en) * | 2015-12-30 | 2017-04-24 | 주식회사 스마트파워 | emergency exit lamp and control system of the same |
| CN106683413A (en) * | 2017-02-07 | 2017-05-17 | 德阳力久云智知识产权运营有限公司 | Rapid rescue system based on emergency lane |
| CN108826155A (en) * | 2018-05-14 | 2018-11-16 | 中国计量大学 | Street illuminating device and system |
| KR101936117B1 (en) * | 2018-06-27 | 2019-01-08 | 이호신 | Emergency tower and emergency monitoring system using the same |
| KR101994003B1 (en) * | 2017-12-28 | 2019-06-27 | 인제대학교 산학협력단 | IOT type tunnel lighting control method |
| CN209149760U (en) * | 2018-10-18 | 2019-07-23 | 武汉科技大学 | A kind of Intelligent fire-fighting indicating lamp for emergency |
| CN110379123A (en) * | 2019-07-26 | 2019-10-25 | 合肥金人科技有限公司 | A kind of emergency response system based on big data |
| KR20190128321A (en) * | 2018-05-08 | 2019-11-18 | 주식회사 씨지에스 | Smart emergency light system with guidance function using laser |
| JP2020087884A (en) * | 2018-11-30 | 2020-06-04 | 株式会社小糸製作所 | Street light system and emergency vehicle passing supporting system |
| JP2020087883A (en) * | 2018-11-30 | 2020-06-04 | 株式会社小糸製作所 | Street light system |
| CN111315090A (en) * | 2020-02-24 | 2020-06-19 | 广西杰盛科技有限公司 | Wisdom city system based on street lamp |
| CN111898563A (en) * | 2020-08-04 | 2020-11-06 | 上海同岩土木工程科技股份有限公司 | Comprehensive safety monitoring equipment and method for protected area |
| CN212108136U (en) * | 2020-05-07 | 2020-12-08 | 名匠智汇建设发展有限公司 | Intelligent street lamp with indicator lamp |
| CN112333870A (en) * | 2020-09-24 | 2021-02-05 | 中国计量大学 | Wisdom street lamp and control system thereof based on arduino |
| CN214671531U (en) * | 2021-02-25 | 2021-11-09 | 耀有光科技集团有限公司 | Multimedia information terminal based on intelligent street lamp |
-
2022
- 2022-07-20 CN CN202210863641.4A patent/CN115439988B/en active Active
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000265428A (en) * | 1999-03-19 | 2000-09-26 | Shinsei Seiki Co Ltd | Chain gate |
| DE202005016341U1 (en) * | 2005-10-19 | 2005-12-29 | Braun, Gerhard | Traffic light type indicator, has sound level sensor finding air quality based on actual portion of component except for oxygen or actual oxygen portion in air and controlling signal releasing device that releases warning signal |
| 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 |
| CN102840455A (en) * | 2012-07-13 | 2012-12-26 | 袁朋 | Multifunctional mobile illumination signal mining lamp |
| CN103116996A (en) * | 2013-01-25 | 2013-05-22 | 中南大学 | Tunnel illumination and security system |
| KR101729521B1 (en) * | 2015-12-30 | 2017-04-24 | 주식회사 스마트파워 | emergency exit lamp and control system of the same |
| CN106224866A (en) * | 2016-09-21 | 2016-12-14 | 深圳市锐视全彩科技有限公司 | A kind of Multifunction wisdom lamp stand system |
| CN106683413A (en) * | 2017-02-07 | 2017-05-17 | 德阳力久云智知识产权运营有限公司 | Rapid rescue system based on emergency lane |
| KR101994003B1 (en) * | 2017-12-28 | 2019-06-27 | 인제대학교 산학협력단 | IOT type tunnel lighting control method |
| KR20190128321A (en) * | 2018-05-08 | 2019-11-18 | 주식회사 씨지에스 | Smart emergency light system with guidance function using laser |
| CN108826155A (en) * | 2018-05-14 | 2018-11-16 | 中国计量大学 | Street illuminating device and system |
| KR101936117B1 (en) * | 2018-06-27 | 2019-01-08 | 이호신 | Emergency tower and emergency monitoring system using the same |
| CN209149760U (en) * | 2018-10-18 | 2019-07-23 | 武汉科技大学 | A kind of Intelligent fire-fighting indicating lamp for emergency |
| JP2020087884A (en) * | 2018-11-30 | 2020-06-04 | 株式会社小糸製作所 | Street light system and emergency vehicle passing supporting system |
| JP2020087883A (en) * | 2018-11-30 | 2020-06-04 | 株式会社小糸製作所 | Street light system |
| CN110379123A (en) * | 2019-07-26 | 2019-10-25 | 合肥金人科技有限公司 | A kind of emergency response system based on big data |
| CN111315090A (en) * | 2020-02-24 | 2020-06-19 | 广西杰盛科技有限公司 | Wisdom city system based on street lamp |
| CN212108136U (en) * | 2020-05-07 | 2020-12-08 | 名匠智汇建设发展有限公司 | Intelligent street lamp with indicator lamp |
| CN111898563A (en) * | 2020-08-04 | 2020-11-06 | 上海同岩土木工程科技股份有限公司 | Comprehensive safety monitoring equipment and method for protected area |
| CN112333870A (en) * | 2020-09-24 | 2021-02-05 | 中国计量大学 | Wisdom street lamp and control system thereof based on arduino |
| CN214671531U (en) * | 2021-02-25 | 2021-11-09 | 耀有光科技集团有限公司 | Multimedia information terminal based on intelligent street lamp |
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| Publication number | Publication date |
|---|---|
| CN115439988A (en) | 2022-12-06 |
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