CN117062288A - Single-lamp monitoring system and method based on Internet of things - Google Patents
Single-lamp monitoring system and method based on Internet of things Download PDFInfo
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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
- H05B47/20—Responsive to malfunctions or to light source life; for protection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
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- G—PHYSICS
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- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The invention provides a single-lamp monitoring system and a method based on the Internet of things, wherein the system comprises: the video acquisition module is used for acquiring video data near any single lamp and sending the video data to the monitoring platform of the Internet of things; the target identification module is used for carrying out target identification on the video data and judging the target category; the current adjusting module is used for predicting a moving track of the identification result based on the internet of things monitoring platform and controlling the single lamps on the moving track to be sequentially adjusted to enter a single lamp activation state if the current adjusting module judges that the current adjusting module belongs to the target type of the required illumination; the adjusting and recovering module is used for recovering the single lamp to the single lamp dormant state; and the fault detection module is used for judging whether any single lamp has faults or not. The invention can reduce energy consumption and reduce the influence on biology in the environment, and meanwhile, according to the identification illumination of the single lamp to the unmanned inspection equipment, whether the single lamp fails or not is judged from the light intensity change of any single lamp, thereby facilitating the fault monitoring of the single lamp and improving the detection effect.
Description
Technical Field
The invention relates to the technical field of street lamp lighting monitoring, in particular to a single-lamp monitoring system and method based on the Internet of things.
Background
With the acceleration of the urban process, the scale of the city is gradually enlarged, and the number of street lamps on the road is increased in a burst manner in recent years. However, there is a lack of effective intelligent control of street lamps on roads. Under the condition of low traffic flow in late night, the street lamp keeps high-light-intensity irradiation, light pollution is easily caused, sleeping of residents in nearby communities is affected, and biological activities of birds are interfered. Meanwhile, a plurality of street lamps do not reasonably utilize resources, so that a large amount of resources are wasted.
The prior art CN204157139U provides a single lamp monitoring system based on the Internet of things technology, and the light intensity is adjusted through the intelligent dimming electronic rectifier, so that the light intensity near the single lamp is kept unchanged, the light pollution to the environment is easily caused, and the sleeping of nearby residents and the activities of birds are influenced. Meanwhile, the single lamp monitoring system in the prior art CN204157139U cannot detect faults according to the fact that the cut-off of the photosensitive diode indicates that the street lamp equipment is faulty or stolen, and other fault types of the single lamp are similar to sensitivity delay and the like. Therefore, a new type of single-lamp monitoring system based on internet of things is needed.
Disclosure of Invention
The embodiment of the invention provides a single-lamp monitoring system based on the Internet of things, which comprises the following components:
the video acquisition module is used for acquiring video data near any single lamp and sending the video data to the monitoring platform of the Internet of things;
the target recognition module is used for carrying out target recognition on the video data based on the internet of things monitoring platform to obtain a recognition result and judging whether the recognition result belongs to the target category of the required illumination;
the current adjusting module is used for predicting the moving track of the identification result based on the internet of things monitoring platform if the current adjusting module judges that the current adjusting module belongs to the target category of the required illumination, and sequentially adjusting the single lamps on the moving track predicted by the identification result to enter a single lamp activation state;
the adjusting and recovering module is used for recovering the single lamp to the single lamp dormant state through the internet of things monitoring platform when the distance between the identification result and any single lamp exceeds a set threshold value;
the fault detection module is used for collecting the light intensity change of any single lamp through unmanned inspection equipment and judging whether any single lamp has faults or not.
Preferably, the object recognition module includes:
the video extraction unit is used for extracting the background of the video data to obtain background video data and moving target data;
the feature extraction unit is used for extracting features of the moving target data to obtain moving target feature data;
the result recognition unit is used for constructing a characteristic database by utilizing the historical data, inputting the characteristic data of the moving target into the characteristic database and obtaining a recognition result;
and the illumination judging unit is used for judging whether the identification result belongs to the target category of the required illumination, extracting the state data of the identification result if the identification result belongs to the target category of the required illumination, and if the identification result does not belong to the target category of the required illumination, and operating the device.
Preferably, the current regulation module comprises:
the model building unit is used for building a track prediction model;
the track prediction unit is used for inputting the state data of the identification result into the track prediction model if the identification result belongs to the target category of the required illumination, and predicting the moving track of the identification result in the future time period;
the distance calculating unit is used for calculating the distance between the identification result and any single lamp;
the illumination activation unit is used for judging whether the distance between the identification result and any single lamp is smaller than a set distance threshold value, and if so, the illumination activation unit adjusts any single lamp into an activation state through the internet of things monitoring platform;
the light intensity adjusting unit is used for adjusting any single lamp to enter an activated state based on any single lamp, and adjusting current of any single lamp through the monitoring platform of the Internet of things;
and the direction adjusting unit is used for controlling any single lamp to irradiate in the direction of predicting the moving track by the identification result through the internet of things monitoring platform.
Preferably, the adjustment recovery module comprises:
the change acquisition unit is used for acquiring a change value and a direction change value of current regulation of any single lamp when the distance between the identification result and any single lamp exceeds a set distance threshold;
the current resetting unit is used for reversely adjusting any single lamp according to the current adjustment change value through the internet of things monitoring platform based on the current adjustment change value of any single lamp;
the direction resetting unit is used for reversely adjusting any single lamp according to the direction change value through the internet of things monitoring platform;
and the dormancy control unit is used for controlling any single lamp to restore to the single lamp dormancy state.
Preferably, the fault detection module includes:
the inspection mobile unit is used for controlling the unmanned inspection equipment to move on a set inspection route;
the light intensity acquisition unit is used for acquiring the light intensity change of any single lamp by the unmanned inspection equipment when the distance between the unmanned inspection equipment and the any single lamp is smaller than a set distance threshold value;
the correlation coefficient calculation unit is used for calculating the correlation coefficient of the distance change between the unmanned inspection equipment and any single lamp and the light intensity change of any single lamp;
the fault judging unit is used for judging whether the correlation coefficient is larger than a correlation threshold value, if the correlation coefficient is smaller than the correlation threshold value, judging that any single lamp has a fault, otherwise, judging that no fault exists;
and the information sending unit is used for sending the position information of any single lamp to the monitoring platform of the Internet of things if judging that any single lamp fails.
Preferably, the single-lamp monitoring system based on the internet of things further comprises:
the fault repairing module is used for repairing the single lamp with the fault;
wherein, the trouble repair module includes:
the work order sending unit is used for generating a work order by utilizing the internet of things monitoring platform based on the position information and the fault type of the single lamp with the fault and sending the work order to a repair staff nearest to the single lamp with the fault;
the repair scheme library unit is used for constructing a fault repair scheme library based on the fault repair history record;
the repair scheme generating unit is used for searching out a corresponding fault repair scheme based on the fault type of the single lamp with the fault and sending the fault repair scheme to repair personnel;
the fault rechecking unit is used for acquiring maintenance receipt of repair personnel after finishing repair, detecting whether the single lamp with the fault is normal again, and if the single lamp with the fault is abnormal, regenerating a work order by using the monitoring platform of the Internet of things; if the detection is normal, finishing the repair and updating the fault repair scheme library by the fault repair record.
Preferably, the single-lamp monitoring system based on the internet of things further comprises:
the night adjusting module is used for calculating the activity of residents based on the background video data and adjusting any single lamp to a corresponding lighting state;
wherein, night adjustment module includes:
the lighting state relation library unit is used for constructing a resident liveness-single lighting state relation library based on historical data;
an activity determining unit for calculating the resident activity based on the background video data;
a lighting state control unit for controlling the lighting state of the single lamp based on the activity of the resident;
wherein, the bright state control unit includes:
the first lighting subunit is used for controlling the single lamp to be in a first lighting state when the activity degree of the residents is larger than a set first threshold value of the activity degree;
the second lighting subunit is used for controlling the single lamp to be in a second lighting state and sending a first warning signal to the identification result when the activity level of the residents is smaller than a set activity level first threshold value and larger than a set activity level second threshold value;
and the third lighting subunit is used for controlling the single lamp to be in a third lighting state when the activity degree of the residents is smaller than a set activity degree second threshold value and sending a second warning signal to the identification result.
Preferably, the single-lamp monitoring system based on the internet of things further comprises:
the standby power supply module is used for starting the standby power supply to supply power to any single lamp when any single lamp has power supply failure;
wherein, standby power module includes:
the voltage measuring unit is used for measuring the voltage at two ends of any single lamp and judging whether the voltage at two ends of any single lamp is lower than the working voltage;
the discharge control unit is used for starting the energy storage battery to supply power to any single lamp based on the voltage difference between the voltage at two ends of any single lamp and the working voltage if the voltage at two ends of any single lamp is lower than the working voltage, and the energy storage electric quantity of the energy storage battery is lower than the set minimum electric quantity;
the charging control unit is used for judging whether the energy storage electric quantity of the energy storage battery is smaller than the set highest electric quantity if the voltage at two ends of any single lamp is equal to the working voltage, and charging the energy storage battery through the working power grid until the energy storage electric quantity of the energy storage battery is equal to the set highest electric quantity if the energy storage electric quantity of the energy storage battery is smaller than the set highest electric quantity; otherwise, no operation is performed.
Preferably, the single-lamp monitoring system based on the internet of things further comprises:
the statistics regulation and control module is used for counting the target flow on the road in a set time period and laying out the single lamps on the road according to the statistical result;
wherein, the statistics regulation and control module includes:
a flow statistics unit for counting a target flow on a road for a set period of time;
a flow judging unit for judging whether the target flow on the road is in the set road flow interval;
the lower limit adjusting unit is used for turning off the single lamps on the road in a crossing way through the Internet of things monitoring platform if the target flow on the road is lower than the lower limit of the set road flow interval;
the upper limit adjusting unit is used for controlling all single lamps on the road to keep the maximum current in the single lamp working state through the internet of things monitoring platform if the target flow on the road is higher than the upper limit of the set road flow interval;
and the interval control unit is used for not operating if the target flow on the road is in the set road flow interval.
The invention also provides a single lamp monitoring method based on the Internet of things, which is characterized by comprising the following steps:
collecting video data near any single lamp and sending the video data to an internet of things monitoring platform;
performing target recognition on the video data based on the internet of things monitoring platform to obtain a recognition result and judging whether the recognition result belongs to a target category of required illumination;
if the single lamp belongs to the target category of the required illumination, predicting a moving track of the identification result based on the internet of things monitoring platform, and sequentially adjusting the single lamps on the moving track predicted by the identification result to enter a single lamp activation state;
when the distance between the identification result and any single lamp exceeds a set threshold value, the single lamp is restored to a single lamp dormant state through the monitoring platform of the Internet of things;
and collecting the light intensity change of any single lamp through unmanned inspection equipment, and judging whether any single lamp fails.
The invention has the beneficial effects that:
according to the invention, the single lamp is used for identifying the target and controlling the single lamp to be on or off, so that the energy consumption can be reduced, the influence on the living beings in the environment is reduced, meanwhile, whether the single lamp fails or not is judged from the light intensity change of any single lamp according to the identification illumination of the single lamp on the unmanned inspection equipment, the single lamp failure monitoring is facilitated, and the detection effect is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic diagram of a single-lamp monitoring system based on internet of things in an embodiment of the invention;
fig. 2 is a schematic diagram of a single-lamp monitoring method based on the internet of things in an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a single-lamp monitoring system based on the Internet of things, which is shown in fig. 1 and comprises the following components:
the video acquisition module 1 is used for acquiring video data near any single lamp and sending the video data to the monitoring platform of the Internet of things;
the target recognition module 2 is used for carrying out target recognition on the video data based on the internet of things monitoring platform to obtain a recognition result and judging whether the recognition result belongs to the target category of the required illumination;
the current adjusting module 3 is used for predicting a moving track of the identification result based on the internet of things monitoring platform if the current adjusting module judges that the current adjusting module belongs to the target category of the required illumination, and sequentially adjusting the single lamps on the moving track predicted by the identification result to enter a single lamp activation state;
the adjustment and restoration module 4 is used for restoring the single lamp to the single lamp dormant state through the internet of things monitoring platform when the distance between the identification result and any single lamp exceeds a set threshold value;
the fault detection module 5 is used for collecting the light intensity change of any single lamp through unmanned inspection equipment and judging whether any single lamp has faults or not.
The working principle and the beneficial effects of the technical scheme are as follows:
the video acquisition module 1 acquires video data through a camera arranged on the single lamp and sends the video data to the internet of things monitoring platform. The object recognition module 2 performs object recognition on the video data to obtain a moving vehicle x and a residential building y. And judging that the mobile vehicle x is the target class of the required illumination according to the identification result, wherein the residential building is not the target class of the required illumination. The current adjustment module 3 predicts a movement locus of the vehicle x. And the vehicle X is obtained to sequentially pass through the single lamp A, the single lamp B and the single lamp C according to the predicted moving track. The current adjusting module 3 sequentially controls the single lamp A, the single lamp B and the single lamp C to enter a single lamp activation state so as to illuminate the vehicle X. When the distance between the vehicle X and any single lamp exceeds a set threshold value, the regulation and recovery module 4 recovers the single lamp to a single lamp dormant state through the internet of things monitoring platform, and the minimum current is kept. And then sequentially passing through the single lamp A, the single lamp B and the single lamp C by the unmanned inspection equipment z, sequentially collecting the light intensity changes of the single lamp A, the single lamp B and the single lamp C, and judging whether the single lamp in the middle fails or not.
According to the embodiment of the invention, the single lamp is used for identifying the target and controlling the single lamp to be on or off, so that the energy consumption can be reduced, the influence on the living beings in the environment can be reduced, meanwhile, whether the single lamp fails or not is judged from the light intensity change of any single lamp according to the identification illumination of the single lamp on the unmanned inspection equipment, the single lamp failure monitoring is facilitated, and the detection effect is improved.
In one embodiment, the object recognition module 2 includes:
the video extraction unit is used for extracting the background of the video data to obtain background video data and moving target data;
the feature extraction unit is used for extracting features of the moving target data to obtain moving target feature data;
the result recognition unit is used for constructing a characteristic database by utilizing the historical data, inputting the characteristic data of the moving target into the characteristic database and obtaining a recognition result;
and the illumination judging unit is used for judging whether the identification result belongs to the target category of the required illumination, extracting the state data of the identification result if the identification result belongs to the target category of the required illumination, and if the identification result does not belong to the target category of the required illumination, and operating the device.
The working principle and the beneficial effects of the technical scheme are as follows:
the video extraction unit performs background extraction on the video data. For example, there are stationary trees and residential buildings in video, as well as wandering dogs, walking passers-by and moving vehicles. And obtaining background video data of trees, residential buildings and the like with static background video data and moving target data of the wandering dogs, walking passers-by and moving vehicles according to the video extraction unit. The feature extraction unit performs feature extraction on moving target data of the rough dog, the walking passers-by and the moving vehicle to obtain feature data of the rough dog, feature data of the walking passers-by and feature data of the moving vehicle. And the result identification unit constructs a characteristic database according to the historical data, and performs target identification on the moving target characteristic data to obtain dogs, people and vehicles respectively. The illumination judgment unit judges whether or not it belongs to a target category of required illumination. Wherein the person and the car belong to the target category of the required illumination, the status data of the person and the car, such as volume and speed, etc., are extracted, and the dog does not belong to the target category of the required illumination, and thus is not operated.
The embodiment of the invention provides a basis for selectively illuminating the target by carrying out background extraction and target identification on the video data, and simultaneously provides a premise for determining the activity of residents by the separated background video in the background extraction.
In one embodiment, the current regulation module 3 comprises:
the model building unit is used for building a track prediction model;
the track prediction unit is used for inputting the state data of the identification result into the track prediction model if the identification result belongs to the target category of the required illumination, and predicting the moving track of the identification result in the future time period;
the distance calculating unit is used for calculating the distance between the identification result and any single lamp;
the illumination activation unit is used for judging whether the distance between the identification result and any single lamp is smaller than a set distance threshold value, and if so, the illumination activation unit adjusts any single lamp into an activation state through the internet of things monitoring platform;
the light intensity adjusting unit is used for adjusting any single lamp to enter an activated state based on any single lamp, and adjusting current of any single lamp through the monitoring platform of the Internet of things;
and the direction adjusting unit is used for controlling any single lamp to irradiate in the direction of predicting the moving track by the identification result through the internet of things monitoring platform.
The working principle and the beneficial effects of the technical scheme are as follows:
the model construction unit constructs a trajectory prediction model. In this embodiment, a convolutional neural network is used to construct the orbit prediction model. The track prediction unit predicts the state data of the recognition result based on the track prediction model to obtain the moving track of the recognition result in the future time period. In this embodiment, taking the vehicle x as an example, the moving track of the vehicle x is predicted after acquiring the state data, such as the speed and the volume, of the vehicle x. The distance calculating unit sequentially calculates the distances between the vehicle x and the single lamps a, B and C. When the distance between the vehicle x and the single lamp A is 3 meters and is smaller than the set distance threshold value by 5 meters, the single lamp is controlled to be in an activated state, and the light intensity adjusting unit adjusts the current of the single lamp A through the Internet of things monitoring platform, so that the current is increased, and the light intensity of the single lamp A is enhanced. When the movement track of the vehicle X is predicted to run from west to east, the direction adjusting unit controls the single lamp A to irradiate in the direction of the predicted movement track of the vehicle X through the internet of things monitoring platform.
According to the embodiment of the invention, the single lamp is controlled to irradiate the movement track of the identification result, so that the single lamp performs targeted irradiation according to the movement track of the identification result, the energy waste is reduced, and the visual fatigue of a driver is reduced.
In one embodiment, the adjustment recovery module 4 includes:
the change acquisition unit is used for acquiring a change value and a direction change value of current regulation of the current regulation module 3 of any single lamp when the distance between the identification result and any single lamp is changed from small to large and exceeds a set distance threshold value;
the current resetting unit is used for reversely adjusting any single lamp according to the current adjustment change value through the internet of things monitoring platform based on the current adjustment change value of any single lamp;
the direction resetting unit is used for reversely adjusting any single lamp according to the direction change value through the internet of things monitoring platform;
and the dormancy control unit is used for controlling any single lamp to restore to the single lamp dormancy state.
The working principle and the beneficial effects of the technical scheme are as follows:
when the distance between the vehicle x and the single lamp a is changed from small to large and the distance exceeds the set distance threshold by 5 meters, the change acquisition unit acquires the change value and the direction change value of the current adjustment module 3 of any single lamp. The current resetting unit reversely adjusts any single lamp according to the current adjusting change value through the internet of things monitoring platform based on the current adjusting change value. For example, when in the current adjusting module 3, the light intensity adjusting unit adjusts the current of the single lamp a from 0.5A to 10A, and thus, the current resetting unit performs reverse adjustment according to the change value of the current adjustment, and adjusts the current of the single lamp a from 10A to 0.5A. The direction resetting unit reversely adjusts the single lamp A according to the direction change value through the internet of things monitoring platform and restores to the initial position. The sleep control unit controls the single lamp A to resume to the single lamp sleep state,
according to the embodiment of the invention, any single lamp is reset in the direction through the monitoring platform of the Internet of things, and the single lamp is controlled to restore to the single lamp dormant state, so that the loss of the single lamp to resources is reduced.
In one embodiment, the fault detection module 5 comprises:
the inspection mobile unit is used for controlling the unmanned inspection equipment to move on a set inspection route;
the light intensity acquisition unit is used for acquiring the light intensity change of any single lamp by the unmanned inspection equipment when the distance between the unmanned inspection equipment and the any single lamp is smaller than a set distance threshold value;
the fault detection library construction unit is used for constructing a fault detection library based on historical data of single lamp faults;
the correlation coefficient calculation unit is used for calculating the correlation coefficient of the light intensity change of any single lamp acquired by the unmanned inspection equipment and the fault detection library;
the fault judging unit is used for judging whether the correlation coefficient is larger than a correlation threshold value, if so, judging that any single lamp fails and outputting the fault type corresponding to the maximum correlation coefficient, otherwise, no fault exists;
and the information sending unit is used for sending the position information and the fault type of the single lamp with the fault to the monitoring platform of the Internet of things if judging that any single lamp has the fault.
The working principle and the beneficial effects of the technical scheme are as follows:
the inspection mobile unit controls the unmanned inspection equipment D to move on an inspection route set by the single lamp A, the single lamp B and the single lamp C, and performs fault detection on the single lamp A, the single lamp B and the single lamp C. The light intensity acquisition unit acquires the light intensity changes of the single lamp A, the single lamp B and the single lamp C respectively, and makes a light intensity change curve. The failure detection library construction unit constructs a failure detection library using historical data of failure types of various single lamps. The fault detection library comprises fault types of single lamps and light intensity change curves corresponding to the fault types. For example, the correlation coefficient of the light intensity variation curve of the single lamp a and the "sensitivity delay" in the fault detection library is 90%, and exceeds the correlation threshold by 20%, so that it can be determined that the single lamp a has a fault and the corresponding fault type is the "sensitivity delay". And the correlation coefficient of the single lamp B and the fault type in the fault detection library is lower than 20%, so that the single lamp B is fault-free. Similarly, the correlation coefficient of the single lamp C and the type of single lamp short circuit fault in the fault detection library is 70 percent and is larger than 20 percent
In one embodiment, the single-lamp monitoring system based on the internet of things further comprises:
the fault repairing module is used for repairing the single lamp with the fault;
wherein, the trouble repair module includes:
the work order sending unit is used for generating a work order by utilizing the internet of things monitoring platform based on the position information and the fault type of the single lamp with the fault and sending the work order to a repair staff nearest to the single lamp with the fault;
the repair scheme library unit is used for constructing a fault repair scheme library based on the fault repair history record;
the repair scheme generating unit is used for searching out a corresponding fault repair scheme based on the fault type of the single lamp with the fault and sending the fault repair scheme to repair personnel;
the fault rechecking unit is used for acquiring maintenance receipt of repair personnel after finishing repair, detecting whether the single lamp with the fault is normal again, and if the single lamp with the fault is abnormal, regenerating a work order by using the monitoring platform of the Internet of things; if the detection is normal, finishing the repair and updating the fault repair scheme library by the fault repair record.
The working principle and the beneficial effects of the technical scheme are as follows:
after the fault detection module 5 sends the position information of the single lamp A with the fault and the fault type of sensitivity delay to the internet of things monitoring platform, the work order sending unit generates a work order by using the internet of things monitoring platform and sends the work order to a repair staff nearest to the single lamp A, and the repair scheme library unit constructs a fault repair scheme library according to the fault repair history. The repair scheme generating unit searches out the corresponding fault repair scheme 'sensitivity adjustment' according to the fault type 'sensitivity delay' of the single lamp with the fault and sends the fault repair scheme to repair personnel. The repair personnel repair the single lamp A by referring to a fault repair scheme of sensitivity adjustment. After finishing the repair, acquiring repair personnel maintenance receipt, detecting whether the single lamp with the fault is normal again by the fault rechecking unit, and if so, regenerating a work order by using the monitoring platform of the Internet of things; if the detection is normal, finishing the repair and updating the fault repair scheme library by the fault repair record.
According to the embodiment of the invention, the single lamp with the fault is subjected to fault repair, so that the timeliness and accuracy of fault repair are improved.
In one embodiment, the single-lamp monitoring system based on the internet of things further comprises:
the night adjusting module is used for calculating the activity of residents based on the background video data and adjusting any single lamp to a corresponding lighting state;
wherein, night adjustment module includes:
the lighting state relation library unit is used for constructing a resident liveness-single lighting state relation library based on historical data;
an activity determining unit for calculating the resident activity based on the background video data;
a lighting state control unit for controlling the lighting state of the single lamp based on the activity of the resident;
wherein, the bright state control unit includes:
the first lighting subunit is used for controlling the single lamp to be in a first lighting state when the activity degree of the residents is larger than a set first threshold value of the activity degree;
the second lighting subunit is used for controlling the single lamp to be in a second lighting state and sending a first warning signal to the identification result when the activity level of the residents is smaller than a set activity level first threshold value and larger than a set activity level second threshold value;
and the third lighting subunit is used for controlling the single lamp to be in a third lighting state when the activity degree of the residents is smaller than a set activity degree second threshold value and sending a second warning signal to the identification result.
The working principle and the beneficial effects of the technical scheme are as follows:
the frequency extraction unit performs background extraction on the video data. Wherein the background video data has sky, residential buildings, etc. The resident liveness can be calculated from the background video data, for example, 20 o' clock in the middle night from 30 ° summer to 30 ° summer in the north can be known in the sky, wherein the lighting rate of the residential building is 80%, and thus the resident liveness 4 in the vicinity of the single lamp a is calculated. The first threshold of liveness is set to 3 and the second threshold is set to 1.5. When the activity of residents nearby the single lamp A is 4 and is larger than the first threshold value 3 of the set activity, the first lighting subunit controls the single lamp to be in a first lighting state, namely the illumination intensity is 50 lux, so that the residents can conveniently conduct activities and walk, and meanwhile the time period is the activity time of animals. When 23 points are at midnight, the lighting rate of the residential building is 20%, the activity of residents nearby the single lamp A is 2.5 and is smaller than 3 and larger than 1.5, so that the second lighting subunit controls the single lamp to be in a second lighting state, namely the illumination intensity is 3 lux, and sends out a first warning signal to a running vehicle to remind the former vehicle of being quiet, reduce the vehicle speed and prompt to prohibit continuous whistling, and the like. When the early-morning point reaches 2 hours and the lighting rate of the residential building is 5%, the activity of residents is calculated to be 1 and less than 1.5, the third lighting subunit controls the single lamp to be in a third lighting state, namely the illumination intensity is 0.3 lux, and a second warning signal is sent to a running vehicle to remind the passing vehicle of driving slowly and prompt to prohibit whistling, and the like.
According to the embodiment of the invention, the activity of residents is calculated on the background video data, and any single lamp is adjusted to be in the corresponding lighting state, so that the influence of the single lamp on the environment can be reduced, the single lamp reasonably follows the laws of life and the work and rest of the residents, and the influence on the life clock is reduced.
In one embodiment, the single-lamp monitoring system based on the internet of things further comprises:
the standby power supply module is used for starting the standby power supply to supply power to any single lamp when any single lamp has power supply failure;
wherein, standby power module includes:
the voltage measuring unit is used for measuring the voltage at two ends of any single lamp and judging whether the voltage at two ends of any single lamp is lower than the working voltage;
the discharge control unit is used for starting the energy storage battery to supply power to any single lamp based on the voltage difference between the voltage at two ends of any single lamp and the working voltage if the voltage at two ends of any single lamp is lower than the working voltage, and the energy storage electric quantity of the energy storage battery is lower than the set minimum electric quantity;
the charging control unit is used for judging whether the energy storage electric quantity of the energy storage battery is smaller than the set highest electric quantity if the voltage at two ends of any single lamp is equal to the working voltage, and charging the energy storage battery through the working power grid until the energy storage electric quantity of the energy storage battery is equal to the set highest electric quantity if the energy storage electric quantity of the energy storage battery is smaller than the set highest electric quantity; otherwise, no operation is performed.
The working principle and the beneficial effects of the technical scheme are as follows:
the voltage measuring unit in the standby power module measures the voltage at two ends of any single lamp and judges whether the voltage at two ends of any single lamp is lower than the working voltage 220v. When the power supply faults occur, the voltage at two ends of any single lamp is 0v and is lower than the working voltage, and then the discharge control unit starts the energy storage battery to supply power to any single lamp. However, the energy storage battery needs to reserve a certain amount of electricity to prolong the service life of the battery. Thus setting the minimum charge of the energy storage battery. And when the energy storage electric quantity is lower than the set minimum electric quantity, the energy storage battery stops supplying power to the single lamp. When the power supply fault is solved, if the voltage at two ends of the single lamp is equal to 220v working voltage, the power supply is recovered, so that whether the energy storage electric quantity of the energy storage battery is smaller than the set highest electric quantity is judged, if the energy storage electric quantity of the energy storage battery is smaller than the set highest electric quantity, the charging control unit can charge the energy storage battery through the working power grid, and when the energy storage electric quantity of the energy storage battery is equal to the set highest electric quantity, the charging is finished.
In one embodiment, the single-lamp monitoring system based on the internet of things further comprises:
the statistics regulation and control module is used for counting the target flow on the road in a set time period and laying out the single lamps on the road according to the statistical result;
wherein, the statistics regulation and control module includes:
a flow statistics unit for counting a target flow on a road for a set period of time;
a flow judging unit for judging whether the target flow on the road is in the set road flow interval;
the lower limit adjusting unit is used for turning off the single lamps on the road in a crossing way through the Internet of things monitoring platform if the target flow on the road is lower than the lower limit of the set road flow interval;
the upper limit adjusting unit is used for controlling all single lamps on the road to keep the maximum current in the single lamp working state through the internet of things monitoring platform if the target flow on the road is higher than the upper limit of the set road flow interval;
and the interval control unit is used for not operating if the target flow on the road is in the set road flow interval.
The working principle and the beneficial effects of the technical scheme are as follows:
the flow rate statistics unit counts the target flow rate on the road for a set period of time, for example, 15 vehicles passing through within 20 minutes of the setting, based on the recognition result of the target recognition. The flow rate determination unit determines whether or not the vehicle flow rate 15 on the road is within the set road flow rate interval. The set road flow interval is [2,10], the flow judging unit judges that the target flow 15 on the road is higher than the upper limit of the set road flow interval, and the upper limit adjusting unit controls all the single lamps on the road to keep the maximum current under the single lamp working state through the internet of things monitoring platform, so that the single lamps on the road provide the maximum illumination for the vehicles in the road section, the illumination for the vehicles one by one is reduced, and the service life of the single lamps is prolonged. If the traffic flow on the road is 1 and is lower than the lower limit of the set road flow interval by 2, the lower limit adjusting unit is used for conducting cross closing on the single lamps on the road through the internet of things monitoring platform. In particular, in midnight, the vehicle flow is smaller, the cross lighting ensures a certain lighting intensity, and the energy can be saved. The section control unit keeps normal operation in the set road flow section [2,10 ].
The embodiment of the invention provides the method for carrying out statistics on the target flow on the road in the set time period and carrying out layout on the single lamps on the road according to the statistics result, thereby further optimizing the illumination use of the single lamps, reducing the waste of energy sources and prolonging the service life of the single lamps.
The invention also provides a single lamp monitoring method based on the Internet of things, as shown in fig. 2, comprising the following steps:
step 1: collecting video data near any single lamp and sending the video data to an internet of things monitoring platform;
step 2: performing target recognition on the video data based on the internet of things monitoring platform to obtain a recognition result and judging whether the recognition result belongs to a target category of required illumination;
step 3: if the single lamp belongs to the target category of the required illumination, predicting a moving track of the identification result based on the internet of things monitoring platform, and sequentially adjusting the single lamps on the moving track predicted by the identification result to enter a single lamp activation state;
step 4: when the distance between the identification result and any single lamp exceeds a set threshold value, the single lamp is restored to a single lamp dormant state through the monitoring platform of the Internet of things;
step 5: and collecting the light intensity change of any single lamp through unmanned inspection equipment, and judging whether any single lamp fails.
The working principle and the beneficial effects of the technical scheme are as follows:
video data are collected by a camera on the single lamp and are sent to the monitoring platform of the Internet of things. And carrying out target identification on the video data to obtain an identification result and judging whether the identification result belongs to the target category of the required illumination. If the single lamp belongs to the target category of the required illumination, predicting a moving track of the identification result based on the internet of things monitoring platform, and sequentially adjusting the single lamps on the moving track predicted by the identification result to enter a single lamp activation state. And when the distance between the identification result and any single lamp exceeds a set threshold value, the single lamp is restored to the single lamp dormant state. And collecting the light intensity change of any single lamp through unmanned inspection equipment, and judging whether any single lamp fails.
According to the embodiment of the invention, the single lamp is monitored to identify the target and control the single lamp to be on or off, so that the energy consumption can be reduced, the influence on the living beings in the environment is reduced, meanwhile, the single lamp is judged whether to fail according to the identification illumination of the single lamp monitoring to the unmanned inspection equipment, the single lamp is convenient to monitor by failure, and the detection effect is improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. Single lamp monitored control system based on thing networking, its characterized in that includes:
the video acquisition module is used for acquiring video data near any single lamp and sending the video data to the monitoring platform of the Internet of things;
the target recognition module is used for carrying out target recognition on the video data based on the internet of things monitoring platform to obtain a recognition result and judging whether the recognition result belongs to the target category of the required illumination;
the current adjusting module is used for predicting the moving track of the identification result based on the internet of things monitoring platform if the current adjusting module judges that the current adjusting module belongs to the target category of the required illumination, and sequentially adjusting the single lamps on the moving track predicted by the identification result to enter a single lamp activation state;
the adjusting and recovering module is used for recovering the single lamp to the single lamp dormant state through the internet of things monitoring platform when the distance between the identification result and any single lamp exceeds a set threshold value;
the fault detection module is used for collecting the light intensity change of any single lamp through unmanned inspection equipment and judging whether any single lamp has faults or not.
2. The internet of things-based single lamp monitoring system of claim 1, wherein the target recognition module comprises:
the video extraction unit is used for extracting the background of the video data to obtain background video data and moving target data;
the feature extraction unit is used for extracting features of the moving target data to obtain moving target feature data;
the result recognition unit is used for constructing a characteristic database by utilizing the historical data, inputting the characteristic data of the moving target into the characteristic database and obtaining a recognition result;
and the illumination judging unit is used for judging whether the identification result belongs to the target category of the required illumination, extracting the state data of the identification result if the identification result belongs to the target category of the required illumination, and if the identification result does not belong to the target category of the required illumination, and operating the device.
3. The internet of things-based single lamp monitoring system of claim 2, wherein the current regulation module comprises:
the model building unit is used for building a track prediction model;
the track prediction unit is used for inputting the state data of the identification result into the track prediction model if the identification result belongs to the target category of the required illumination, and predicting the moving track of the identification result in the future time period;
the distance calculating unit is used for calculating the distance between the identification result and any single lamp;
the illumination activation unit is used for judging whether the distance between the identification result and any single lamp is smaller than a set distance threshold value, and if so, the illumination activation unit adjusts any single lamp into an activation state through the internet of things monitoring platform;
the light intensity adjusting unit is used for adjusting any single lamp to enter an activated state based on any single lamp, and adjusting current of any single lamp through the monitoring platform of the Internet of things;
and the direction adjusting unit is used for controlling any single lamp to irradiate in the direction of predicting the moving track by the identification result through the internet of things monitoring platform.
4. The internet of things-based single lamp monitoring system of claim 3, wherein the adjustment recovery module comprises:
the change acquisition unit is used for acquiring a change value and a direction change value of current regulation of any single lamp when the distance between the identification result and any single lamp exceeds a set distance threshold;
the current resetting unit is used for reversely adjusting any single lamp according to the current adjustment change value through the internet of things monitoring platform based on the current adjustment change value of any single lamp;
the direction resetting unit is used for reversely adjusting any single lamp according to the direction change value through the internet of things monitoring platform;
and the dormancy control unit is used for controlling any single lamp to restore to the single lamp dormancy state.
5. The internet of things-based single lamp monitoring system of claim 4, wherein the fault detection module comprises:
the inspection mobile unit is used for controlling the unmanned inspection equipment to move on a set inspection route;
the light intensity acquisition unit is used for acquiring the light intensity change of any single lamp by the unmanned inspection equipment when the distance between the unmanned inspection equipment and the any single lamp is smaller than a set distance threshold value;
the correlation coefficient calculation unit is used for calculating the correlation coefficient of the distance change between the unmanned inspection equipment and any single lamp and the light intensity change of any single lamp;
the fault judging unit is used for judging whether the correlation coefficient is larger than a correlation threshold value, if the correlation coefficient is smaller than the correlation threshold value, judging that any single lamp has a fault, otherwise, judging that no fault exists;
and the information sending unit is used for sending the position information of any single lamp to the monitoring platform of the Internet of things if judging that any single lamp fails.
6. The internet of things-based single lamp monitoring system of claim 5, further comprising:
the fault repairing module is used for repairing the single lamp with the fault;
wherein, the trouble repair module includes:
the work order sending unit is used for generating a work order by utilizing the internet of things monitoring platform based on the position information and the fault type of the single lamp with the fault and sending the work order to a repair staff nearest to the single lamp with the fault;
the repair scheme library unit is used for constructing a fault repair scheme library based on the fault repair history record;
the repair scheme generating unit is used for searching out a corresponding fault repair scheme based on the fault type of the single lamp with the fault and sending the fault repair scheme to repair personnel;
the fault rechecking unit is used for acquiring maintenance receipt of repair personnel after finishing repair, detecting whether the single lamp with the fault is normal again, and if the single lamp with the fault is abnormal, regenerating a work order by using the monitoring platform of the Internet of things; if the detection is normal, finishing the repair and updating the fault repair scheme library by the fault repair record.
7. The internet of things-based single lamp monitoring system of claim 5, further comprising:
the night adjusting module is used for calculating the activity of residents based on the background video data and adjusting any single lamp to a corresponding lighting state;
wherein, night adjustment module includes:
the lighting state relation library unit is used for constructing a resident liveness-single lighting state relation library based on historical data;
an activity determining unit for calculating the resident activity based on the background video data;
a lighting state control unit for controlling the lighting state of the single lamp based on the activity of the resident;
wherein, the bright state control unit includes:
the first lighting subunit is used for controlling the single lamp to be in a first lighting state when the activity degree of the residents is larger than a set first threshold value of the activity degree;
the second lighting subunit is used for controlling the single lamp to be in a second lighting state and sending a first warning signal to the identification result when the activity level of the residents is smaller than a set activity level first threshold value and larger than a set activity level second threshold value;
and the third lighting subunit is used for controlling the single lamp to be in a third lighting state when the activity degree of the residents is smaller than a set activity degree second threshold value and sending a second warning signal to the identification result.
8. The internet of things-based single lamp monitoring system of claim 5, further comprising:
the standby power supply module is used for starting the standby power supply to supply power to any single lamp when any single lamp has power supply failure;
wherein, standby power module includes:
the voltage measuring unit is used for measuring the voltage at two ends of any single lamp and judging whether the voltage at two ends of any single lamp is lower than the working voltage;
the discharge control unit is used for starting the energy storage battery to supply power to any single lamp based on the voltage difference between the voltage at two ends of any single lamp and the working voltage if the voltage at two ends of any single lamp is lower than the working voltage, and the energy storage electric quantity of the energy storage battery is lower than the set minimum electric quantity;
the charging control unit is used for judging whether the energy storage electric quantity of the energy storage battery is smaller than the set highest electric quantity if the voltage at two ends of any single lamp is equal to the working voltage, and charging the energy storage battery through the working power grid until the energy storage electric quantity of the energy storage battery is equal to the set highest electric quantity if the energy storage electric quantity of the energy storage battery is smaller than the set highest electric quantity; otherwise, no operation is performed.
9. The internet of things-based single lamp monitoring system of claim 1, further comprising:
the statistics regulation and control module is used for counting the target flow on the road in a set time period and laying out the single lamps on the road according to the statistical result;
wherein, the statistics regulation and control module includes:
a flow statistics unit for counting a target flow on a road for a set period of time;
a flow judging unit for judging whether the target flow on the road is in the set road flow interval;
the lower limit adjusting unit is used for turning off the single lamps on the road in a crossing way through the Internet of things monitoring platform if the target flow on the road is lower than the lower limit of the set road flow interval;
the upper limit adjusting unit is used for controlling all single lamps on the road to keep the maximum current in the single lamp working state through the internet of things monitoring platform if the target flow on the road is higher than the upper limit of the set road flow interval;
and the interval control unit is used for not operating if the target flow on the road is in the set road flow interval.
10. The single lamp monitoring method based on the Internet of things is characterized by comprising the following steps of:
collecting video data near any single lamp and sending the video data to an internet of things monitoring platform;
performing target recognition on the video data based on the internet of things monitoring platform to obtain a recognition result and judging whether the recognition result belongs to a target category of required illumination;
if the single lamp belongs to the target category of the required illumination, predicting a moving track of the identification result based on the internet of things monitoring platform, and sequentially adjusting the single lamps on the moving track predicted by the identification result to enter a single lamp activation state;
when the distance between the identification result and any single lamp exceeds a set threshold value, the single lamp is restored to a single lamp dormant state through the monitoring platform of the Internet of things;
and collecting the light intensity change of any single lamp through unmanned inspection equipment, and judging whether any single lamp fails.
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