CN114351632B - Road health intelligent monitoring and cleaning method, system, equipment and storage medium - Google Patents
Road health intelligent monitoring and cleaning method, system, equipment and storage medium Download PDFInfo
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- CN114351632B CN114351632B CN202210031250.6A CN202210031250A CN114351632B CN 114351632 B CN114351632 B CN 114351632B CN 202210031250 A CN202210031250 A CN 202210031250A CN 114351632 B CN114351632 B CN 114351632B
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
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- E01H1/00—Removing undesirable matter from roads or like surfaces, with or without moistening of the surface
- E01H1/003—Upkeep of road sides along the pavement, for instance cleaning devices particularly for side strips
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Abstract
The invention discloses a road health intelligent monitoring and cleaning method, a system, equipment and a storage medium, wherein the method comprises the steps of acquiring local weather information; generating camera quantity information of a camera to be started according to the local weather information; controlling a corresponding number of cameras on the sidewalk to enter a starting state according to the number information of the cameras; acquiring image information from a camera at a sidewalk; judging whether the corresponding sidewalk needs to be cleaned or not according to the image information, and if so, generating cleaning confirmation information; generating notification information based on the confirmed cleaning information, and sending the notification to the mobile terminal of the corresponding cleaner; acquiring real-time flying dust information from a flying dust monitor on a sidewalk; judging whether the corresponding sidewalk needs to be subjected to dust fall or not according to the real-time dust emission information, and if so, generating dust fall confirmation information; and controlling corresponding dust falling equipment to perform dust falling on the pedestrian path based on the confirmed dust falling information. The invention has the effect of improving the efficiency and quality of road sanitation management.
Description
Technical Field
The invention relates to the field of road health condition management, in particular to a road health intelligent monitoring and cleaning method, a system, equipment and a storage medium.
Background
In road hygiene management, it is generally required to monitor and clean roads and sidewalks, which are the main roads on which pedestrians walk and are particularly important to manage their hygiene. Because the width of the sidewalk is limited and pedestrians exist, when the sidewalk is cleaned, the cleaning vehicle cannot be used, and generally, cleaning workers clean the sidewalk.
In the related art, a manager manually monitors a corresponding sidewalk through a camera, and if the manager considers that the sanitation condition of the corresponding sidewalk is not qualified, the manager notifies a cleaner on duty through a communication tool, and the cleaner goes to the corresponding sidewalk for cleaning.
In view of the above-mentioned related art, the inventor thinks that the judgment of the pedestrian road hygiene condition by the manager is prone to error, and the whole process of monitoring the cleanness takes a long time, resulting in the defects of reduced efficiency of road hygiene management and reduced management quality.
Disclosure of Invention
In order to improve the efficiency and quality of road health management, the application discloses a road health intelligent monitoring and cleaning method, a system, equipment and a storage medium.
In a first aspect, the application discloses a road health intelligent monitoring and cleaning method, which adopts the following technical scheme:
an intelligent road health monitoring and cleaning method comprises the following steps:
acquiring local weather information from the Internet;
according to the local weather information, generating camera quantity information of cameras needing to be started on the sidewalk; the cameras on the sidewalk are arranged at equal intervals;
controlling a corresponding number of cameras on the sidewalk to enter a starting state according to the number information of the cameras;
acquiring image information from a camera at a sidewalk;
judging whether the corresponding sidewalk needs to be cleaned or not according to the image information, and if so, generating cleaning confirmation information;
generating notification information based on the confirmed cleaning information, and sending the notification to the mobile terminal of the corresponding cleaner;
acquiring real-time flying dust information from a flying dust monitor on a sidewalk;
judging whether the corresponding sidewalk needs to be subjected to dust fall or not according to the real-time dust emission information, and if so, generating dust fall confirmation information;
and controlling corresponding dust falling equipment to perform dust falling on the pedestrian path based on the confirmed dust falling information.
By adopting the technical scheme, the camera quantity information is generated by taking the local weather information as the reference, so that the cameras with the corresponding quantity can be opened adaptively, the energy-saving and efficient effects are achieved, the image information is used as the reference for judging whether the sidewalk needs to be cleaned, the quick generation of the confirmed cleaning information is facilitated, the notification information is further generated and sent to a cleaner, the full-process automation is realized, the speed is high, meanwhile, the real-time dust raising information is directly obtained through the dust raising monitor, the efficiency of controlling dust falling and distinguishing is further improved, and the efficiency and the quality of road sanitation management are improved.
Optionally, the determining, according to the image information, whether the corresponding sidewalk needs to be cleaned, and if yes, generating cleaning confirmation information, includes:
graying the image information to obtain a grayed image;
comparing the gray image with a standard sidewalk image qualified in a preset sanitary condition to obtain redundant area information of the sidewalk;
comparing redundant area information of the sidewalk with a preset area reference value;
if the redundant area information of the sidewalk is smaller than a preset area reference value, judging that the sidewalk does not need to be cleaned;
and if the redundant area information of the sidewalk is larger than the preset area reference value, judging that the sidewalk needs to be cleaned, and generating confirmed cleaning information.
By adopting the technical scheme, the arrangement of the gray images is beneficial to reducing the information processing amount of subsequent comparison, the comparison efficiency is improved, the redundant area information of the sidewalk is accurately obtained, whether the sidewalk needs to be cleaned or not is further quickly judged, and if so, the quick generation and confirmation of the cleaning information is also beneficial, so that the efficiency and the quality of road sanitation management are improved.
Optionally, the comparing the redundant area information of the sidewalk with a preset area reference value further includes:
identifying the area occupied by the people in the graph based on the gray images to generate a human-shaped area;
subtracting the redundant area information of the sidewalk from the humanoid area to obtain the area of the road surface sundries;
and taking the area of the road surface sundries as the updated redundant area information of the sidewalk.
By adopting the technical scheme, the processing of the human-shaped area is omitted, and the accuracy of redundant area information of the sidewalk is improved, so that the judgment accuracy is improved, and the quality of road sanitation management is improved.
Optionally, based on confirming the dust fall information, control the corresponding dust fall equipment to perform dust fall on the pedestrian path, and then further include:
judging whether blind people exist on the sidewalk or not according to the image information, and if the blind people exist on the sidewalk, generating voice prompt information;
and controlling the corresponding loudspeaker to emit prompt voice according to the voice prompt information.
By adopting the technical scheme, the voice prompt information is generated when the blind is found, so that the blind can be prompted, and the protection for the blind can be realized.
Optionally, the determining, according to the image information, whether a blind person exists on the sidewalk, and if so, generating a voice prompt message includes:
based on the image information, carrying out feature recognition on pedestrians on blind sidewalks in a pedestrian path, and judging whether the pedestrians wear sunglasses for the blind and use a blind guiding stick;
if yes, the corresponding pedestrian is marked as the blind person, and voice prompt information is generated.
By adopting the technical scheme, the blind person can be identified quickly, and the efficiency is improved.
Optionally, the generating, according to the local weather information, information on the number of cameras on the sidewalk that need to start the cameras includes:
reading weather conditions, wind power and air quality in local weather information;
according to the weather condition, the wind power and the air quality, matching the camera quantity information of the camera needing to be started in a preset comparison table; the preset comparison table comprises different monitoring levels, the monitoring levels correspond to the information of the number of cameras needing to start the cameras, and the monitoring levels are different from the monitoring levels corresponding to different weather conditions, wind power and air quality.
By adopting the technical scheme, the camera quantity information is generated more accurately and adaptively better according to the weather condition, the wind power and the air quality in the local weather information, and the road health management efficiency and quality are further improved.
Optionally, the controlling, according to the information of the number of the cameras, that the corresponding number of cameras on the sidewalk enter the startup state further includes:
acquiring real-time traffic flow information of adjacent roads of a sidewalk;
comparing the real-time traffic flow information with a preset contrast value;
if the real-time traffic flow information is larger than the preset contrast value, generating camera incremental information according to the difference value of the real-time traffic flow information and the preset contrast value;
and adding the camera increment information to the camera quantity information to generate updated camera quantity information.
By adopting the technical scheme, the camera incremental information is generated according to the real-time traffic flow information, so that the updated camera incremental information is more accurate and is linked with the actual situation, the overall adaptability is better, and the road health management efficiency and quality are further improved.
In a second aspect, the application discloses a road health intelligent monitoring and cleaning system, adopts following technical scheme:
an intelligent road health monitoring and cleaning system, comprising:
the weather information acquisition module is used for acquiring local weather information from the Internet;
the quantity information generation module is used for generating camera quantity information of the cameras needing to be started on the sidewalk according to the local weather information; a plurality of cameras on the sidewalk are arranged at equal intervals;
the starting quantity control module is used for controlling the corresponding quantity of cameras on the sidewalk to enter a starting state according to the quantity information of the cameras;
the image information acquisition module is used for acquiring image information from a camera at a sidewalk;
the cleaning information generation module is used for judging whether the corresponding sidewalk needs to be cleaned or not according to the image information, and if so, generating cleaning confirmation information;
a notification information generation module for generating notification information based on the confirmed cleaning information and sending the notification to the mobile terminal of the corresponding cleaner;
the device comprises a flying dust information acquisition module, a dust monitoring module and a dust information acquisition module, wherein the flying dust information acquisition module is used for acquiring real-time flying dust information from a flying dust monitor on a sidewalk;
the dust fall information generation module is used for judging whether the corresponding sidewalk needs to be subjected to dust fall or not according to the real-time dust emission information, and if so, generating dust fall confirmation information;
and the dust falling equipment control module is used for controlling the corresponding dust falling equipment to perform dust falling on the pedestrian path based on the confirmed dust falling information.
In a third aspect, the present application discloses an electronic device, which adopts the following technical solutions:
an electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and executed to perform a method of intelligent road health monitoring and cleaning as described in any one of the preceding claims.
In a fourth aspect, the present application discloses a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program that can be loaded by a processor and executed to perform a method of intelligent road health monitoring and cleaning as described in any one of the above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method has the advantages that the number information of the cameras is generated by taking the local weather information as reference, so that the cameras with the corresponding number are started adaptively, the effects of energy conservation and high efficiency are achieved, the image information is used as reference for judging whether the sidewalk needs to be cleaned, the quick generation of cleaning confirmation information is facilitated, the notification information is further generated and sent to cleaners, the whole process is automatically realized, the speed is high, meanwhile, the real-time dust raising information is directly obtained through the dust raising monitor, the efficiency of controlling dust fall setting is further improved, and the efficiency and the quality of road management sanitation are improved.
2. The gray images are beneficial to reducing the information processing amount of subsequent comparison, the comparison efficiency is improved, redundant area information of the sidewalk is accurately obtained, whether the sidewalk needs to be cleaned or not is judged quickly, and if yes, the cleaning information is generated and confirmed quickly, so that the efficiency and the quality of road sanitation management are improved.
3. When the blind is found, the voice prompt information is generated, which is beneficial to prompting the blind and realizing the protection for the blind.
Drawings
Fig. 1 is a flowchart of a method for intelligently monitoring and cleaning road health in an embodiment of the present application.
Fig. 2 is a flowchart of a method for intelligently monitoring and cleaning road health according to another embodiment of the present application.
FIG. 3 is a schematic diagram of module connection of an intelligent road health monitoring and cleaning system according to an embodiment of the present application.
Fig. 4 is a schematic diagram of a connection structure of an electronic device in an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-4.
Referring to fig. 1, the application discloses an intelligent road health monitoring and cleaning method.
An intelligent road health monitoring and cleaning method comprises the following steps:
s1, obtaining local weather information from the Internet.
Specifically, the server acquires local weather information through the internet, wherein the local weather information comprises weather conditions, wind power and air quality. For example: and A, the local weather information is as follows: "cloudy day, grade 5 wind, moderate pollution".
And S2, generating camera quantity information of the cameras needing to be started on the sidewalk according to the local weather information.
A plurality of cameras are arranged on one side of the sidewalk at equal intervals along the length direction of the sidewalk and are positioned above the sidewalk, so that the condition of the sidewalk can be monitored comprehensively in a subarea-by-subarea manner. The number of cameras is set according to the actual length of the sidewalk, and the distance between two adjacent cameras can be, but is not limited to: 8 meters, 9 meters and 10 meters.
Specifically, the weather condition, the wind power and the air quality in the local weather information are read; according to the weather condition, the wind power and the air quality, the camera quantity information of the camera needing to be started is matched in a preset comparison table.
Wherein, including different monitoring levels in the reference list of predetermineeing, the monitoring level corresponds the camera quantity information that needs start the camera moreover, and different monitoring levels correspond with different weather conditions, wind-force, air quality to accomplish quick matching.
For example:
| range of weather conditions | Wind power range | Air mass range | |
| Monitoring level one (twenty percent of total number of cameras turned on) | Cloudy day-sunny day | Less than 3 stages | Youliang |
| Monitoring level two (sixty percent of total open cameras) | Light rain-heavy rain | Grade 3-5 | Mild-moderate |
| Monitoring level three (opening all cameras) | Haze weather-snowing | Greater than 5 stages | Severe-severe |
The preset comparison table comprises four rows and four columns, and the contents of the second cell, the third cell and the fourth cell in the first row are respectively as follows: "weather condition range, wind range, air quality range", the contents of second cell, third cell and fourth cell in the first row are respectively: "monitoring level one (twenty percent of the total number of cameras turned on), monitoring level two (sixty percent of the total number of cameras turned on), monitoring level three (all cameras turned on)"; in a column of the weather condition range, the contents of the second cell, the third cell and the fourth cell are respectively: "cloudy day-sunny day, light rain-heavy rain, haze weather-snowing"; in one column of the wind power range, the contents of the second cell, the third cell and the fourth cell are respectively: "less than 3, 3-5, greater than 5 level"; in one column of the air quality range, the contents of the second cell, the third cell and the fourth cell are respectively: "excel-benign, mild-moderate, severe-severe". At this time, the local weather information is: "cloudy day, grade 5 wind, moderate pollution", match and monitor grade two, turn on sixty percent of the total number of cameras. In this embodiment, taking the total number of cameras 10 as an example for illustration, 6 cameras need to be turned on. And the distance between two adjacent cameras in the opened cameras is equal, so that the sidewalk is monitored comprehensively.
And S3, controlling the cameras with the corresponding number on the sidewalk to enter a starting state according to the number information of the cameras.
It should be noted that, according to the information of the number of cameras, controlling a corresponding number of cameras on the sidewalk to enter an activated state further includes: acquiring real-time traffic flow information of adjacent roads of a sidewalk; comparing the real-time traffic flow information with a preset contrast value; if the real-time traffic flow information is larger than the preset contrast value, generating camera incremental information according to the difference value of the real-time traffic flow information and the preset contrast value; and adding the camera increment information to the camera quantity information to generate updated camera quantity information.
The road adjacent to the sidewalk is a road which is parallel to the sidewalk and close to one side of the sidewalk. And the server acquires the real-time traffic flow information from a database of a traffic management department after agreement. The preset contrast value may be, but is not limited to: 60, 100 and 140 vehicles/hour.
Generating camera incremental information according to the difference value between the real-time traffic flow information and a preset contrast value, wherein the camera incremental information comprises the following steps: and matching corresponding camera increment information in a preset difference matching table based on the corresponding difference. The preset difference value pairing table comprises a difference value range and corresponding camera increment information.
For example, the difference range includes: "less than 20/hour, 20/hour-40/hour, more than 40/hour", the corresponding camera increment information is respectively: "add 2 cameras, add 4 cameras, add 6 cameras".
And S4, acquiring image information from a camera at the sidewalk.
Specifically, the server acquires image information of a camera in an open state on a sidewalk.
And S5, judging whether the corresponding sidewalk needs to be cleaned or not according to the image information, and if so, generating cleaning confirmation information.
Specifically, graying image information to obtain a grayed image; comparing the gray image with a standard sidewalk image qualified in a preset sanitary condition to obtain redundant area information of the sidewalk; comparing redundant area information of the sidewalk with a preset area reference value; if the redundant area information of the sidewalk is smaller than a preset area reference value, judging that the sidewalk does not need to be cleaned; and if the redundant area information of the sidewalk is larger than the preset area reference value, judging that the sidewalk needs to be cleaned, and generating confirmed cleaning information.
The preset standard sidewalk image with qualified sanitary conditions is a sidewalk image shot by a corresponding camera at the same angle when the sidewalk is vacant. The standard sidewalk image with qualified preset sanitary conditions needs to be subjected to graying processing and then subjected to pixel subtraction with the grayed image, so that redundant area information of sidewalks is obtained. The area reference value may be, but is not limited to, 1 square meter, 2 square meters, 3 square meters, 4 square meters, and the like. Since each camera corresponds to an area of the sidewalk, if the redundant area information of one of the areas of the sidewalk is greater than the reference value, the confirmed cleaning information of the sidewalk is generated.
It should be noted that, if there is a pedestrian in the grayscale image, the image of the pedestrian is also included in the redundant area information of the sidewalk, so to improve the accuracy, before comparing the redundant area information of the sidewalk with the preset area reference value, the method further includes:
identifying the area occupied by the people in the graph based on the gray images to generate a human-shaped area;
subtracting the redundant area information of the sidewalk from the humanoid area to obtain the area of the road surface sundries;
and taking the area of the road surface sundries as the updated redundant area information of the sidewalk.
And S6, generating notification information based on the confirmed cleaning information, and sending the notification to the mobile terminal of the corresponding cleaner.
Specifically, each camera in the sidewalk is added with a number, a corresponding number is also added to a partition of the sidewalk shot by the camera, and the determined cleaning information includes the number of the corresponding partition in the sidewalk. The generated notification information comprises position information of the corresponding sidewalk and the number of the corresponding subarea in the confirmed cleaning information, so that a cleaner is prompted to go to the sidewalk for cleaning, and the corresponding subarea is cleaned in a key way.
And S7, acquiring real-time flying dust information from the flying dust monitor on the sidewalk.
Specifically, a plurality of raise dust monitors arranged at equal intervals are preset on the sidewalk, and the raise dust monitors continuously send real-time raise dust information to the server, so that the server can obtain the real-time raise dust information.
Wherein, the quantity of raise dust monitor is unanimous with the quantity of camera, and the one-to-one, and the raise dust monitor that corresponds is located same subregion with the camera that corresponds, and has same serial number.
And S8, judging whether the corresponding sidewalk needs to be subjected to dust fall or not according to the real-time dust raising information, and if so, generating dust fall confirmation information.
Specifically, real-time raise dust information is compared with a preset raise dust threshold value, if the real-time raise dust information is larger than the raise dust threshold value, the pedestrian path is judged to need to be subjected to dust fall treatment, and the confirmed dust fall information corresponding to the partition corresponding number is generated.
Wherein, the real-time dust emission information includes concentration values of PM2.5 and PM10, and the dust emission threshold may be but is not limited to: PM2.5 concentration 75 micrograms/cubic meter and PM10 concentration 150 micrograms/cubic meter. If the concentration value of PM2.5 in the real-time dust raising information is greater than the concentration value of PM2.5 in the dust raising threshold value by 75 micrograms/cubic meter or the concentration value of PM10 in the real-time dust raising information is greater than the concentration value of PM10 in the dust raising threshold value by 150 micrograms/cubic meter, the situation that the dust fall treatment needs to be carried out on the sidewalk is judged.
And S9, controlling corresponding dust settling equipment to perform dust settling on the pedestrian path based on the confirmed dust settling information.
Specifically, every monitored sub-area of pavement all is equipped with dust fall equipment, and corresponding dust fall equipment and the cooperation of the raise dust monitor that corresponds and serial number are unanimous.
Referring to fig. 2, another embodiment is additionally provided for prompting special people, such as blind people, due to the fact that the road surface is relatively wet and slippery during dust fall. This embodiment is different from the above-described embodiment in that, in S9, based on the confirmed dustfall information, the method further includes controlling the corresponding dustfall device to dustfall the street:
and S10, judging whether the blind person exists on the sidewalk or not according to the image information, and generating voice prompt information if the blind person exists on the sidewalk.
Specifically, based on image information, carrying out feature recognition on pedestrians on blind sidewalks in the pedestrian lanes, and judging whether the pedestrians wear sunglasses for the blind and use blind guiding sticks; if yes, the corresponding pedestrian is marked as the blind person, and voice prompt information is generated.
The server stores characteristic information of the blind sunglasses and characteristic information of the blind guiding stick in advance, and when the pedestrian on the blind sidewalk in the pedestrian path is subjected to characteristic identification, the preset characteristic information of the blind sunglasses and the characteristic information of the blind guiding stick are used as comparison objects, so that whether the pedestrian wears the blind sunglasses or uses the blind guiding stick can be judged quickly.
And S11, controlling a corresponding loudspeaker to send out a prompt voice according to the voice prompt information.
Specifically, a loudspeaker is arranged in each subarea on the sidewalk, and the serial number of the loudspeaker is the same as that of the camera in the same area. The image information comprises the number of the corresponding camera, so that the voice prompt information also comprises the corresponding number. The server rapidly controls the loudspeaker with the corresponding number to send out the prompt voice according to the voice prompt information.
It is noted that reference to "blind" in this application refers to a person with normal hearing who has a pathological change in the eyes or is naturally blinded.
Referring to fig. 3, the application also discloses a road health intelligent monitoring and cleaning system.
An intelligent road health monitoring and cleaning system, comprising:
a weather information obtaining module 200, configured to obtain local weather information from the internet;
the quantity information generating module 210 is configured to generate camera quantity information that the cameras need to be started on the sidewalk according to the local weather information; the cameras on the sidewalk are arranged at equal intervals;
the starting quantity control module 220 is used for controlling the corresponding number of cameras on the sidewalk to enter a starting state according to the quantity information of the cameras;
an image information obtaining module 230, configured to obtain image information from a camera at a sidewalk;
a cleaning information generating module 240, configured to determine whether the corresponding sidewalk needs to be cleaned according to the image information, and if so, generate cleaning confirmation information;
a notification information generating module 250 for generating notification information based on the confirmed cleaning information and transmitting the notification to the mobile terminal of the corresponding cleaner;
the dust information acquisition module 260 is used for acquiring real-time dust information from a dust monitor on a sidewalk;
a dust fall information generation module 270, configured to determine whether a corresponding sidewalk needs to be subjected to dust fall according to the real-time dust emission information, and if yes, generate dust fall confirmation information;
and the dust falling equipment control module 280 is used for controlling corresponding dust falling equipment to perform dust falling on the pedestrian path based on the confirmed dust falling information.
The intelligent road health monitoring and cleaning system comprises a server, wherein the server is electrically connected with a camera, a raise dust monitor, dust falling equipment and a loudspeaker on a sidewalk. The weather information acquisition module 200, the quantity information generation module 210, the start quantity control module 220, the image information acquisition module 230, the cleaning information generation module 240, the notification information generation module 250, the dust information acquisition module 260, the dust information generation module 270, and the dust equipment control module 280 are all integrated in a server.
Referring to fig. 4, the present application further discloses an electronic device.
An electronic device 300, a memory 310 and a processor 320, wherein the memory 310 stores a computer program capable of being loaded by the processor 320 and executing any one of the above road health intelligent monitoring and cleaning methods. When executed by the processor 320, performs the steps of:
acquiring local weather information from the Internet;
according to the local weather information, generating camera quantity information of cameras needing to be started on the sidewalk; a plurality of cameras on the sidewalk are arranged at equal intervals;
controlling a corresponding number of cameras on the sidewalk to enter a starting state according to the number information of the cameras;
acquiring image information from a camera at a sidewalk;
judging whether the corresponding sidewalk needs to be cleaned or not according to the image information, and if so, generating cleaning confirmation information;
generating notification information based on the confirmed cleaning information, and sending the notification to the mobile terminal of the corresponding cleaner;
acquiring real-time flying dust information from a flying dust monitor on a sidewalk;
judging whether the corresponding sidewalk needs to be subjected to dust fall or not according to the real-time dust emission information, and if so, generating dust fall confirmation information;
and controlling corresponding dust settling equipment to perform dust settling on the pedestrian path based on the confirmed dust settling information.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: graying the image information to obtain a grayed image;
comparing the gray image with a standard sidewalk image qualified in a preset sanitary condition to obtain redundant area information of the sidewalk;
comparing redundant area information of the sidewalk with a preset area reference value;
if the redundant area information of the sidewalk is smaller than a preset area reference value, judging that the sidewalk does not need to be cleaned;
and if the redundant area information of the sidewalk is larger than the preset area reference value, judging that the sidewalk needs to be cleaned, and generating confirmed cleaning information.
Optionally, in an embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: based on the gray images, identifying the area occupied by the people in the image to generate a humanoid area;
subtracting redundant area information of the sidewalk from the humanoid area to obtain the area of the pavement sundries;
and taking the area of the road surface sundries as the updated redundant area information of the sidewalk.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: judging whether blind people exist on the sidewalk or not according to the image information, and if the blind people exist on the sidewalk, generating voice prompt information;
and controlling the corresponding loudspeaker to emit prompt voice according to the voice prompt information.
Optionally, in an embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: based on the image information, carrying out feature recognition on pedestrians on blind sidewalks in a pedestrian path, and judging whether the pedestrians wear sunglasses for the blind and use a blind guiding stick;
if yes, the corresponding pedestrian is marked as the blind person, and voice prompt information is generated.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: reading weather conditions, wind power and air quality in local weather information;
and matching the camera quantity information of the camera to be started in a preset comparison table according to the weather condition, the wind power and the air quality.
Optionally, in the embodiment of the present application, when the computer program is executed by the processor 320, the following steps are performed: acquiring real-time traffic flow information of adjacent roads of a sidewalk;
comparing the real-time traffic flow information with a preset contrast value;
if the real-time traffic flow information is larger than the preset contrast value, generating camera incremental information according to the difference value of the real-time traffic flow information and the preset contrast value;
and adding the camera increment information to the camera quantity information to generate updated camera quantity information.
The embodiment of the application also discloses a computer readable storage medium, which stores a computer program capable of being loaded and executed by a processor, wherein the computer program realizes the steps of any one of the intelligent road health monitoring and cleaning methods when being executed by the processor, and can achieve the same effect.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, and the computer program may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
A processor in the present application may include one or more processing cores. The processor executes the various functions of the present application and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory, invoking data stored in the memory, and so on. The Processor may be at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a Central Processing Unit (CPU), a controller, a microcontroller, and a microprocessor. It is understood that the electronic device for implementing the above processor function may be other electronic devices, and the embodiments of the present application are not limited in particular.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (8)
1. An intelligent road health monitoring and cleaning method is characterized by comprising the following steps:
acquiring local weather information from the Internet;
according to the local weather information, generating camera number information of the cameras needing to be started on the sidewalk; the cameras on the sidewalk are arranged at equal intervals;
controlling a corresponding number of cameras on the sidewalk to enter a starting state according to the number information of the cameras;
acquiring image information from a camera at a sidewalk;
judging whether the corresponding sidewalk needs to be cleaned or not according to the image information, and if so, generating cleaning confirmation information;
generating notification information based on the confirmed cleaning information, and sending the notification to the mobile terminal of the corresponding cleaner;
acquiring real-time flying dust information from a flying dust monitor on a sidewalk;
judging whether the corresponding sidewalk needs to be subjected to dust fall or not according to the real-time dust emission information, and if so, generating dust fall confirmation information;
controlling corresponding dust settling equipment to perform dust settling on the pedestrian path based on the confirmed dust settling information;
wherein, according to image information, judge whether the pavement that corresponds needs to be cleaned, if generate and confirm clean information, include:
graying the image information to obtain a grayed image;
comparing the gray image with a standard sidewalk image qualified in a preset sanitary condition to obtain redundant area information of the sidewalk;
comparing redundant area information of the sidewalk with a preset area reference value;
if the redundant area information of the sidewalk is smaller than a preset area reference value, judging that the sidewalk does not need to be cleaned;
if the redundant area information of the sidewalk is larger than a preset area reference value, judging that the sidewalk needs to be cleaned, and generating cleaning confirmation information;
and, before comparing the redundant area information of the sidewalk with a preset area reference value, the method further includes:
based on the gray images, identifying the area occupied by the people in the image to generate a humanoid area;
subtracting the redundant area information of the sidewalk from the humanoid area to obtain the area of the road surface sundries;
and taking the area of the road surface sundries as the updated redundant area information of the sidewalk.
2. The intelligent road health monitoring and cleaning method according to claim 1, wherein: based on confirming the dust fall information, the corresponding dust fall equipment is controlled to carry out dust fall on the pedestrian path, and then the method further comprises the following steps:
judging whether blind people exist on the sidewalk or not according to the image information, and if the blind people exist on the sidewalk, generating voice prompt information;
and controlling the corresponding loudspeaker to emit prompt voice according to the voice prompt information.
3. The intelligent road health monitoring and cleaning method according to claim 2, characterized in that: the step of judging whether the blind person exists on the sidewalk according to the image information, and if the blind person exists on the sidewalk, generating voice prompt information comprises the following steps:
based on the image information, carrying out feature recognition on pedestrians on blind sidewalks in a pedestrian path, and judging whether the pedestrians wear sunglasses for the blind and use a blind guiding stick;
if yes, the corresponding pedestrian is marked as the blind person, and voice prompt information is generated.
4. The intelligent road health monitoring and cleaning method according to claim 1, characterized in that: the step of generating camera quantity information of the cameras needing to be started on the sidewalk according to the local weather information comprises the following steps:
reading weather conditions, wind power and air quality in local weather information;
according to the weather condition, the wind power and the air quality, matching the camera quantity information of the camera needing to be started in a preset comparison table;
the preset comparison table comprises different monitoring levels, the monitoring levels correspond to camera quantity information needing to start a camera, and the monitoring levels are different from the monitoring levels corresponding to different weather conditions, wind power and air quality.
5. The intelligent road health monitoring and cleaning method according to claim 4, characterized in that: according to the information of the number of the cameras, controlling the cameras with the corresponding number on the sidewalk to enter a starting state, and the method comprises the following steps:
acquiring real-time traffic flow information of adjacent roads of a sidewalk;
comparing the real-time traffic flow information with a preset contrast value;
if the real-time traffic flow information is larger than the preset contrast value, generating camera incremental information according to the difference value of the real-time traffic flow information and the preset contrast value;
and adding the camera increment information to the camera quantity information to generate updated camera quantity information.
6. The utility model provides a road health intelligent monitoring clean system which characterized in that includes:
the weather information acquisition module is used for acquiring local weather information from the Internet;
the quantity information generation module is used for generating camera quantity information of the cameras needing to be started on the sidewalk according to the local weather information; a plurality of cameras on the sidewalk are arranged at equal intervals;
the starting quantity control module is used for controlling the cameras with the corresponding quantity on the sidewalk to enter a starting state according to the quantity information of the cameras;
the image information acquisition module is used for acquiring image information from a camera at a sidewalk;
the cleaning information generation module is used for judging whether the corresponding sidewalk needs to be cleaned or not according to the image information, and if so, generating cleaning confirmation information;
the notification information generation module is used for generating notification information based on the confirmed cleaning information and sending the notification to the mobile terminal of the corresponding cleaner;
the device comprises a flying dust information acquisition module, a dust monitoring module and a dust information acquisition module, wherein the flying dust information acquisition module is used for acquiring real-time flying dust information from a flying dust monitor on a sidewalk;
the dust fall information generation module is used for judging whether the corresponding sidewalk needs to be subjected to dust fall or not according to the real-time dust emission information, and if so, generating dust fall confirmation information;
and the dust falling equipment control module is used for controlling the corresponding dust falling equipment to perform dust falling on the pedestrian path based on the confirmed dust falling information.
7. An electronic device, characterized in that: comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes a method of intelligently monitoring and cleaning road health as claimed in any one of claims 1 to 5.
8. A computer-readable storage medium, characterized in that a computer program capable of being loaded by a processor and executing a road health intelligent monitoring and cleaning method according to any one of claims 1 to 5 is stored.
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