Road environment monitoring method and system based on Internet of lamps, and medium

Abstract

The invention provides a road environment monitoring method and system based on the Internet of lamps, and a medium, and belongs to the technical field of the Internet of lamps and big data. The method comprises the steps of obtaining road lamp networking information, extracting road feature information and road lamp monitoring information, extracting road environment feature information and road people flow data according to the road feature information, obtaining a road illumination level according to the road people flow data, and intelligently adjusting the brightness of the road lamp. According to the street lamp monitoring information, road waterlogging information, electric leakage monitoring and early warning information and circuit state monitoring information are extracted, power-off processing is carried out according to the road waterlogging information and the electric leakage monitoring and early warning information, a street lamp lighting rate index is obtained according to the circuit state monitoring information, and correction is carried out according to the road environment characteristic information. Obtaining a lighting rate correction index, and then judging whether the road lighting rate meets the requirement or not; through lamp networking road condition monitoring and multi-aspect data processing, intelligent control of street lamps is realized, and urban illumination energy consumption is effectively controlled.

Description

Technical Field

[0001] The present invention belongs to the field of lighting networking and big data technology, and specifically, relates to a road environment monitoring method, system and medium based on lighting networking. Background Art

[0002] The existing street light control system has the potential safety hazard of electric leakage and injury to people. Street light control is mainly based on time controllers and "three remote" remote terminals. There are a large number of existing street lights and many types of lamps. Street light management is under the management of manual patrols at night, and faults cannot be discovered in time. The street light lighting rate is difficult to increase, the maintenance cost is high, and the management efficiency is low, making it impossible to achieve refined management and unified intelligent control of each street light.

[0003] In the current street light control technology, the illumination of most urban nighttime roads does not meet the requirements of urban road lighting standards. Street lights have high energy consumption, and incidents endangering people’s lives and property occur every year. There is a lack of a technical solution for intelligent and safe control of street lights.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present invention is to provide a road environment monitoring method, system and medium based on a lighting network. The method can obtain road lighting network information within a preset time period, extract road characteristic information and street lamp monitoring information, extract road environment characteristic information and road pedestrian flow data according to the road characteristic information, obtain road lighting level and intelligently adjust street lamp brightness according to the road pedestrian flow data, extract road water accumulation information, leakage monitoring and early warning information and circuit status monitoring information according to the street lamp monitoring information, perform power-off processing according to the road water accumulation information, perform power-off processing according to the leakage monitoring and early warning information, obtain street lamp lighting rate index according to the circuit status monitoring information, correct the street lamp lighting rate index through a preset lighting rate correction model according to the road environment characteristic information, obtain the lighting rate correction index, compare the lighting rate correction index with the preset lighting rate correction threshold, and judge whether the road lighting rate meets the requirements.

[0006] The present application provides a road environment monitoring method based on a lighting network, comprising the following steps: Obtain the road light networking information within a preset time period, and extract road feature information and street light monitoring information; Extracting road environment characteristic information and road passenger flow data according to the road characteristic information; According to the road traffic data, the road lighting level is obtained and the brightness of the street lamps is intelligently adjusted; Extracting road water accumulation information, leakage monitoring and early warning information, and circuit status monitoring information according to the street lamp monitoring information; Extracting water level data according to the road waterlogging information, determining whether the water level data reaches a preset water level threshold and performing power-off processing; Extracting the busbar leakage data of the street lamp according to the leakage monitoring and early warning information, and cutting off the power supply to the street lamp; Obtaining a street lamp lighting rate index according to the circuit status monitoring information; According to the road environment characteristic information, the street lamp lighting rate index is corrected by using a preset lighting rate correction model to obtain a lighting rate correction index; The lighting rate correction index is compared with a preset lighting rate correction threshold to determine whether the road lighting rate meets the requirements.

[0007] Among them, in a road environment monitoring method based on a lighting network described in the present application, the road lighting level is obtained and the street lamp brightness is intelligently adjusted according to the road traffic data, specifically: Comparing the road pedestrian flow data with a preset first pedestrian flow threshold, a second pedestrian flow threshold, and a third pedestrian flow threshold respectively; The first human flow threshold is smaller than the second human flow threshold, and the second human flow threshold is smaller than the third human flow threshold; If the road pedestrian flow data is less than a first pedestrian flow threshold, a first road lighting level is obtained; If the road pedestrian flow data is greater than or equal to the first pedestrian flow threshold and less than or equal to the second pedestrian flow threshold, a second road lighting level is obtained; If the road pedestrian flow data is greater than the third pedestrian flow threshold, the third road lighting level is obtained.

[0008] Among them, in the road environment monitoring method based on the light network described in the present application, the water level data is extracted according to the road water accumulation information, and it is determined whether the water level data reaches a preset water level threshold and the power is cut off, specifically: Comparing the accumulated water level data with a preset accumulated water level threshold; If the water level data is greater than or equal to the preset water level threshold, a water level alarm message is sent to the terminal; According to the waterlogging alarm information, obtaining waterlogging duration data; Comparing the water accumulation duration data with a preset duration threshold; If the duration of water accumulation is greater than or equal to the preset duration threshold, the corresponding street light will be powered off.

[0009] Among them, in a road environment monitoring method based on a lighting network described in the present application, the extraction of street lamp bus leakage data according to the leakage monitoring warning information and the power-off processing of the street lamp are specifically as follows: Extracting street lamp busbar leakage data according to the leakage monitoring and early warning information; Extracting leakage point number data and leakage point location data according to the street lamp bus leakage data; Determine whether the leakage point number data is greater than a preset leakage point number threshold; If it is greater than, the street lamp behind the leakage point closest to the distribution box is powered off according to the leakage point location data; If they are equal, the street lamps behind the leakage point are powered off according to the leakage point location data; If it is less than, no processing is required.

[0010] Among them, in the road environment monitoring method based on the lighting network described in the present application, the street lamp lighting rate index is obtained according to the circuit state monitoring information, specifically: Extracting lighting duration data, lighting period data and power consumption data according to the circuit status monitoring information; The lighting duration data, lighting period data, power consumption data and preset lighting time data are processed through a preset lighting rate evaluation model to obtain a street lamp lighting rate index.

[0011] Among them, in the road environment monitoring method based on the lighting network described in the present application, the street lamp lighting rate index is corrected by a preset lighting rate correction model according to the road environment characteristic information to obtain the lighting rate correction index, which is specifically: Extracting geographical location altitude data and environmental temperature and humidity data according to the road environment characteristic information; The street lamp lighting rate index is corrected by a preset lighting rate correction model according to the geographical location altitude data and the ambient temperature and humidity data to obtain a lighting rate correction index.

[0012] Among them, in a road environment monitoring method based on a lighting network described in the present application, the lighting rate correction index is compared with a preset lighting rate correction threshold to determine whether the road lighting rate meets the requirements, specifically: Comparing the lighting rate correction index with a preset lighting rate correction threshold to obtain a correction index deviation rate; Determining whether the correction index deviation rate is greater than a preset correction index deviation rate threshold; If the correction index deviation rate is greater than or equal to the preset correction index deviation rate threshold, the lighting rate does not meet the requirement; If the correction index deviation rate is less than the preset correction index deviation rate threshold, the lighting rate meets the requirement.

[0013] The second aspect of the present application provides a road environment monitoring system based on a lighting network, the system comprising: a memory and a processor, the memory comprising a program of a road environment monitoring method based on a lighting network, the program of the road environment monitoring method based on a lighting network being executed by the processor to implement the following steps: Obtain the road light networking information within a preset time period, and extract road feature information and street light monitoring information; Extracting road environment characteristic information and road passenger flow data according to the road characteristic information; According to the road traffic data, the road lighting level is obtained and the brightness of the street lamps is intelligently adjusted; Extracting road water accumulation information, leakage monitoring and early warning information, and circuit status monitoring information according to the street lamp monitoring information; Extracting water level data according to the road waterlogging information, determining whether the water level data reaches a preset water level threshold and performing power-off processing; Extracting the busbar leakage data of the street lamp according to the leakage monitoring and early warning information, and cutting off the power supply to the street lamp; Obtaining a street lamp lighting rate index according to the circuit status monitoring information; According to the road environment characteristic information, the street lamp lighting rate index is corrected by using a preset lighting rate correction model to obtain a lighting rate correction index; The lighting rate correction index is compared with a preset lighting rate correction threshold to determine whether the road lighting rate meets the requirements.

[0014] Among them, in the road environment monitoring system based on the lighting network described in the present application, the road lighting level is obtained and the street lamp brightness is intelligently adjusted according to the road traffic data, specifically: Comparing the road pedestrian flow data with a preset first pedestrian flow threshold, a second pedestrian flow threshold, and a third pedestrian flow threshold respectively; The first human flow threshold is smaller than the second human flow threshold, and the second human flow threshold is smaller than the third human flow threshold; If the road pedestrian flow data is less than a first pedestrian flow threshold, a first road lighting level is obtained; If the road pedestrian flow data is greater than or equal to the first pedestrian flow threshold and less than or equal to the second pedestrian flow threshold, a second road lighting level is obtained; If the road pedestrian flow data is greater than the third pedestrian flow threshold, the third road lighting level is obtained.

[0015] The third aspect of the present application also provides a readable storage medium, which includes a road environment monitoring method program based on a lighting network. When the road environment monitoring method program based on a lighting network is executed by a processor, the steps of the road environment monitoring method based on a lighting network as described above are implemented.

[0016] As can be seen from the above, the present application provides a road environment monitoring method, system and medium based on light networking, which obtains road light networking information within a preset time period, extracts road characteristic information and street light monitoring information, extracts road environment characteristic information and road pedestrian flow data based on the road characteristic information, obtains road lighting level and intelligently adjusts street light brightness based on the road pedestrian flow data, extracts road water accumulation information, leakage monitoring and early warning information and circuit status monitoring information based on the street light monitoring information, performs power-off processing based on the road water accumulation information, performs power-off processing based on the leakage monitoring and early warning information, obtains street light lighting rate index based on the circuit status monitoring information, corrects the street light lighting rate index through a preset lighting rate correction model based on the road environment characteristic information, obtains the lighting rate correction index, compares the lighting rate correction index with the preset lighting rate correction threshold, and determines whether the road lighting rate meets the requirements. The present application monitors the road environment, road pedestrian flow and road waterlogging based on the lighting network, obtains the road lighting level and intelligently adjusts the street lamp brightness based on the road pedestrian flow data, determines whether the water level data reaches the preset water level threshold based on the road waterlogging information and performs power-off processing, performs power-off processing on the street lamp based on the leakage monitoring and early warning information, obtains the street lamp lighting rate index based on the circuit status monitoring information, and then corrects the street lamp lighting rate index according to the road environment, realizing road safety monitoring and intelligent time-sharing and zoning control of street lamps based on the lighting network, ensuring the safety of night travel and effectively controlling the energy consumption of urban lighting.

[0017] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 A flow chart of a road environment monitoring method based on a lighting network provided in an embodiment of the present application; Figure 2 A flow chart of obtaining a road lighting level in a road environment monitoring method based on a lighting network provided in an embodiment of the present application; Figure 3 A flow chart of determining the water level of a road environment monitoring method based on a light network provided in an embodiment of the present application; Figure 4 A flow chart of determining leakage points in a road environment monitoring method based on a lighting network provided in an embodiment of the present application; Figure 5 A flowchart of obtaining a street lamp lighting rate index in a road environment monitoring method based on a lighting network provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0020] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present application belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit exemplary embodiments according to the present invention.

[0021] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0022] Example 1 Please refer to Figure 1, is a flowchart of a preferred road environment monitoring method based on light networking in the present application. This road environment monitoring method based on light networking is used in terminal devices, such as computers, mobile phone terminals, etc. This road environment monitoring method based on light networking includes the following steps: S101, obtaining road light networking information within a preset time period, and extracting road feature information and street light monitoring information; S102, extracting road environment feature information and road pedestrian flow data based on road feature information; S103, obtaining road lighting level and intelligently adjusting street light brightness based on road pedestrian flow data; S104, extracting road water accumulation information, leakage monitoring and warning information, and circuit status monitoring information based on street light monitoring information; S105, extracting water accumulation information based on road water accumulation information S106, extract the street lamp bus leakage data according to the leakage monitoring and early warning information, and cut off the power to the street lamp; S107, obtain the street lamp lighting rate index according to the circuit status monitoring information; S108, correct the street lamp lighting rate index through the preset lighting rate correction model according to the road environment characteristic information, and obtain the lighting rate correction index; S109, compare the lighting rate correction index with the preset lighting rate correction threshold to determine whether the road lighting rate meets the requirements.

[0023] Among them, the present application obtains the network information of road lights within a preset time period, extracts the road characteristic information and the street light monitoring information, extracts the road environment characteristic information and the road pedestrian flow data according to the road characteristic information, obtains the road lighting level and performs intelligent adjustment of the street light brightness according to the road pedestrian flow data, extracts the road water accumulation information, the leakage monitoring and early warning information and the circuit status monitoring information according to the street light monitoring information, performs power outage processing according to the road water accumulation information, performs power outage processing according to the leakage monitoring and early warning information, obtains the street light lighting rate index according to the circuit status monitoring information, corrects the street light lighting rate index according to the road environment characteristic information through a preset lighting rate correction model, obtains the lighting rate correction index, compares the lighting rate correction index with the preset lighting rate correction threshold, and determines whether the road lighting rate meets the requirements. The present application monitors the road environment, road pedestrian flow and road waterlogging based on the lighting network, obtains the road lighting level and intelligently adjusts the street lamp brightness based on the road pedestrian flow data, determines whether the water level data reaches the preset water level threshold based on the road waterlogging information and performs power-off processing, performs power-off processing on the street lamp based on the leakage monitoring and early warning information, obtains the street lamp lighting rate index based on the circuit status monitoring information, and then corrects the street lamp lighting rate index according to the road environment, realizing road safety monitoring and intelligent time-sharing and zoning control of street lamps based on the lighting network, ensuring the safety of night travel and effectively controlling the energy consumption of urban lighting.

[0024] Please refer to Figure 2, which is a flowchart of obtaining road lighting level in a preferred road environment monitoring method based on light networking of the present application. According to an embodiment of the present invention, according to the road pedestrian flow data, the road lighting level is obtained and the street lamp brightness is intelligently adjusted, specifically: S201, the road pedestrian flow data is compared with the preset first pedestrian flow threshold, the second pedestrian flow threshold and the third pedestrian flow threshold respectively; S202, the first pedestrian flow threshold is less than the second pedestrian flow threshold, and the second pedestrian flow threshold is less than the third pedestrian flow threshold; S203, if the road pedestrian flow data is less than the first pedestrian flow threshold, the first road lighting level is obtained; S204, if the road pedestrian flow data is greater than or equal to the first pedestrian flow threshold and less than or equal to the second pedestrian flow threshold, the second road lighting level is obtained; S205, if the road pedestrian flow data is greater than the third pedestrian flow threshold, the third road lighting level is obtained.

[0025] In order to reduce the energy consumption of street lamps and improve the effective lighting rate of street lamps, the road pedestrian flow data is compared with the preset first pedestrian flow threshold, the second pedestrian flow threshold and the third pedestrian flow threshold, respectively, wherein the first pedestrian flow threshold is less than the second pedestrian flow threshold, and the second pedestrian flow threshold is less than the third pedestrian flow threshold. If the road pedestrian flow data is less than the first pedestrian flow threshold, the first road lighting level is obtained, for example, the road pedestrian flow data is 25, and the preset first pedestrian flow threshold is 30; if the road pedestrian flow data is greater than or equal to the first pedestrian flow threshold and less than or equal to the second pedestrian flow threshold, the second road lighting level is obtained, for example, the road pedestrian flow data is 51, and the preset second pedestrian flow threshold is 60; if the road pedestrian flow data is greater than the third pedestrian flow threshold, the third road lighting level is obtained, for example, the road pedestrian flow data is 79, and the preset third pedestrian flow threshold is 90; wherein the first road lighting level, the second road lighting level and the third road lighting level can be respectively expressed as [0,30], [30,60], (60,90], and the corresponding lighting intensities can be energy-saving, normal and strong lighting, respectively.

[0026] Please refer to Figure 3 , which is a flow chart of judging the water level of the road environment monitoring method based on the network of lights in the present application. According to the embodiment of the present invention, the water level data is extracted according to the road water accumulation information, and it is judged whether the water level data reaches the preset water level threshold and the power is cut off, specifically: S301, compare the water level data with the preset water level threshold; S302, if the water level data is greater than or equal to the preset water level threshold, send water accumulation alarm information to the terminal; S303, according to the water accumulation alarm information, obtain water accumulation duration data; S304, compare the water accumulation duration data with the preset duration threshold; S305, if the water accumulation duration data is greater than or equal to the preset duration threshold, the corresponding street lamp is powered off.

[0027] Among them, in order to ensure the safety of street lamp electricity use and avoid personal safety accidents, the water level data is compared with the preset water level threshold. If it is greater than or equal to, a water accumulation alarm message is sent to the terminal. For example, the water level data is 0.8 meters, and the preset water level threshold is 0.6 meters. According to the water accumulation alarm information, the water accumulation duration data is obtained, and the water accumulation duration data is compared with the preset duration threshold. If it is greater than or equal to, the corresponding street lamp is cut off from power. For example, the water accumulation duration data is 7 minutes, and the preset duration threshold is 5 minutes.

[0028] Please refer to Figure 4 , is a flow chart of determining leakage points in a road environment monitoring method based on a light network of the present application. According to an embodiment of the present invention, the extraction of street lamp bus leakage data based on leakage monitoring warning information and the power-off processing of the street lamp are specifically as follows: S401, extracting street lamp busbar leakage data according to leakage monitoring and early warning information; S402, extracting leakage point number data and leakage point location data according to the street lamp busbar leakage data; S403, determining whether the leakage point number data is greater than a preset leakage point number threshold; S404: If it is greater than, the street lamps behind the leakage point closest to the distribution box are powered off according to the leakage point location data; S405, if they are equal, then the street lamps behind the leakage point are powered off according to the leakage point location data; S406: If it is less than, no processing is required.

[0029] Among them, in order to further improve the safety of street lamp electricity use, the street lamp bus leakage data is extracted according to the leakage monitoring and early warning information, the leakage point number data and the leakage point positioning data are extracted according to the street lamp bus leakage data, and it is judged whether the leakage point number data is greater than the preset leakage point number threshold. If it is greater than, the street lamp after the leakage point closest to the distribution box is powered off according to the leakage point positioning data. For example, the leakage point number data is 3, and the preset leakage point number threshold is 1. If it is equal to, the street lamp after the leakage point is powered off according to the leakage point positioning data. For example, the leakage point number data is 1, and the preset leakage point number threshold is 1. If it is less than, no processing is required.

[0030] Please refer to Figure 5, is a flow chart of obtaining a street lamp lighting rate index in a road environment monitoring method based on a lighting network of the present application. According to an embodiment of the present invention, the street lamp lighting rate index is obtained according to the circuit state monitoring information, specifically: S501, extracting lighting duration data, lighting period data and power consumption data according to the circuit state monitoring information; S502, processing the lighting duration data, lighting period data, power consumption data and preset lighting time data through a preset lighting rate evaluation model to obtain the street lamp lighting rate index.

[0031] Among them, in order to improve the lighting rate of the lighting network and the effective lighting rate of each street lamp, the lighting duration data, lighting period data and power consumption data are extracted according to the circuit status monitoring information, and the lighting duration data, lighting period data, power consumption data and preset lighting time data are processed through the preset lighting rate evaluation model to obtain the street lamp lighting rate index. The calculation formula of the lighting rate evaluation model is: ; in, is the street lamp lighting rate index, For the lighting duration data, The data for the lighting period is For power consumption data, To preset the lighting time data, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lighting network database platform).

[0032] According to an embodiment of the present invention, the street lamp lighting rate index is corrected by a preset lighting rate correction model according to the road environment characteristic information to obtain a lighting rate correction index, specifically: the geographical location altitude data and the ambient temperature and humidity data are extracted according to the road environment characteristic information; the street lamp lighting rate index is corrected by a preset lighting rate correction model according to the geographical location altitude data and the ambient temperature and humidity data to obtain a lighting rate correction index.

[0033] Among them, in order to more accurately reflect the actual lighting conditions of street lamps and further improve the lighting rate of the lighting network and the effective lighting rate of each street lamp, the geographical location altitude data and the ambient temperature and humidity data are extracted according to the road environment characteristic information, and the street lamp lighting rate index is corrected through the preset lighting rate correction model according to the geographical location altitude data and the ambient temperature and humidity data to obtain the lighting rate correction index. The calculation formula of the lighting rate correction model is: ; in, is the lighting rate correction index, For geographic location altitude data, is the ambient temperature and humidity data, is the street lamp lighting rate index, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lighting network database platform).

[0034] According to an embodiment of the present invention, the lighting rate correction index is compared with a preset lighting rate correction threshold to determine whether the road lighting rate meets the requirements, specifically: the lighting rate correction index is compared with the preset lighting rate correction threshold to obtain a correction index deviation rate; determine whether the correction index deviation rate is greater than the preset correction index deviation rate threshold; if the correction index deviation rate is greater than or equal to the preset correction index deviation rate threshold, the lighting rate does not meet the requirements; if the correction index deviation rate is less than the preset correction index deviation rate threshold, the lighting rate meets the requirements.

[0035] Among them, in order to further improve the lighting rate of the lighting network, the lighting rate correction index is compared with the preset lighting rate correction threshold to obtain the correction index deviation rate, and it is determined whether the correction index deviation rate is greater than the preset correction index deviation rate threshold. If it is greater than or equal to, the lighting rate does not meet the requirements; if it is less than, the lighting rate meets the requirements.

[0036] According to an embodiment of the present invention, it also includes: extracting air quality data based on road environment characteristic information; judging whether the air quality data is greater than a preset air quality threshold; if the air quality data is greater than or equal to the preset air quality threshold, the air quality on that day exceeds the standard; counting the number of times the air quality exceeds the standard in that month to obtain monthly air quality data; judging whether the monthly air quality data is greater than a preset monthly air quality threshold; if the monthly air quality data is greater than or equal to the preset monthly air quality threshold, the local air quality exceeds the standard.

[0037] Among them, in order to grasp the air quality situation, based on the light network system, air quality data is extracted according to the road environment characteristic information, and it is determined whether the air quality data is greater than the preset air quality threshold. If it is greater than or equal to, the air quality on that day exceeds the standard. For example, the air quality data is 123μg / m³, and the preset air quality threshold is 115μg / m³. The number of times the air quality exceeds the standard in that month is counted to obtain the monthly air quality data, and it is determined whether the monthly air quality data is greater than the preset monthly air quality threshold. If it is greater than or equal to, the local air quality exceeds the standard. For example, the monthly air quality data is 7 times, and the preset monthly air quality threshold is 5 times.

[0038] According to an embodiment of the present invention, the method further includes: extracting vehicle speed data based on road feature information; determining whether the vehicle speed data is greater than a preset speed threshold; if the vehicle speed data is greater than or equal to the preset speed threshold, the vehicle is speeding; counting the number of vehicle speeding times per day to obtain a vehicle speeding frequency; determining whether the vehicle speeding frequency is greater than a preset speeding frequency threshold; if the vehicle speeding frequency is greater than or equal to the preset speeding frequency threshold, adding a speed bump to the road.

[0039] Among them, in order to ensure the safety of road vehicles and the personal safety of pedestrians, the vehicle speed data is extracted according to the road feature information, and it is determined whether the vehicle speed data is greater than the preset speed threshold. If it is greater than or equal to, the vehicle is speeding. For example, the vehicle speed data is 68km / h, and the preset speed threshold is 60km / h. The number of vehicle speeding times is counted to obtain the vehicle speeding frequency, and it is determined whether the vehicle speeding frequency is greater than the preset speeding frequency threshold. If it is greater than or equal to, speed bumps are added to the road. For example, the vehicle speeding frequency is 15 times / day, and the preset speeding frequency threshold is 10 times / day.

[0040] The present invention also discloses a road environment monitoring system based on a lighting network, comprising a memory and a processor, wherein the memory comprises a road environment monitoring method program based on a lighting network, and when the method program is executed by the processor, the following steps are implemented: obtaining road lighting network information within a preset time period, extracting road characteristic information and street lamp monitoring information; extracting road environment characteristic information and road pedestrian flow data according to the road characteristic information; obtaining road lighting level and intelligently adjusting street lamp brightness according to the road pedestrian flow data; extracting road water accumulation information, leakage monitoring and early warning information and circuit status monitoring information according to the street lamp monitoring information; extracting water accumulation water level data according to the road water accumulation information, judging whether the water accumulation water level data reaches a preset water accumulation water level threshold and performing power-off processing; extracting street lamp bus leakage data according to the leakage monitoring and early warning information, and performing power-off processing on the street lamp; obtaining a street lamp lighting rate index according to the circuit status monitoring information; correcting the street lamp lighting rate index through a preset lighting rate correction model according to the road environment characteristic information to obtain a lighting rate correction index; comparing the lighting rate correction index with a preset lighting rate correction threshold to judge whether the road lighting rate meets the requirements.

[0041] Among them, the present application obtains the network information of road lights within a preset time period, extracts the road characteristic information and the street light monitoring information, extracts the road environment characteristic information and the road pedestrian flow data according to the road characteristic information, obtains the road lighting level and performs intelligent adjustment of the street light brightness according to the road pedestrian flow data, extracts the road water accumulation information, the leakage monitoring and early warning information and the circuit status monitoring information according to the street light monitoring information, performs power outage processing according to the road water accumulation information, performs power outage processing according to the leakage monitoring and early warning information, obtains the street light lighting rate index according to the circuit status monitoring information, corrects the street light lighting rate index according to the road environment characteristic information through a preset lighting rate correction model, obtains the lighting rate correction index, compares the lighting rate correction index with the preset lighting rate correction threshold, and determines whether the road lighting rate meets the requirements. The present application monitors the road environment, road pedestrian flow and road waterlogging based on the lighting network, obtains the road lighting level and intelligently adjusts the street lamp brightness based on the road pedestrian flow data, determines whether the water level data reaches the preset water level threshold based on the road waterlogging information and performs power-off processing, performs power-off processing on the street lamp based on the leakage monitoring and early warning information, obtains the street lamp lighting rate index based on the circuit status monitoring information, and then corrects the street lamp lighting rate index according to the road environment, realizing road safety monitoring and intelligent time-sharing and zoning control of street lamps based on the lighting network, ensuring the safety of night travel and effectively controlling the energy consumption of urban lighting.

[0042] According to an embodiment of the present invention, based on the road pedestrian flow data, the road lighting level is obtained and the street lamp brightness is intelligently adjusted, specifically: the road pedestrian flow data is compared with a preset first pedestrian flow threshold, a second pedestrian flow threshold and a third pedestrian flow threshold respectively; the first pedestrian flow threshold is less than the second pedestrian flow threshold, and the second pedestrian flow threshold is less than the third pedestrian flow threshold; if the road pedestrian flow data is less than the first pedestrian flow threshold, the first road lighting level is obtained; if the road pedestrian flow data is greater than or equal to the first pedestrian flow threshold and less than or equal to the second pedestrian flow threshold, the second road lighting level is obtained; if the road pedestrian flow data is greater than the third pedestrian flow threshold, the third road lighting level is obtained.

[0043] In order to reduce the energy consumption of street lamps and improve the effective lighting rate of street lamps, the road pedestrian flow data is compared with the preset first pedestrian flow threshold, the second pedestrian flow threshold and the third pedestrian flow threshold, respectively, wherein the first pedestrian flow threshold is less than the second pedestrian flow threshold, and the second pedestrian flow threshold is less than the third pedestrian flow threshold. If the road pedestrian flow data is less than the first pedestrian flow threshold, the first road lighting level is obtained, for example, the road pedestrian flow data is 25, and the preset first pedestrian flow threshold is 30; if the road pedestrian flow data is greater than or equal to the first pedestrian flow threshold and less than or equal to the second pedestrian flow threshold, the second road lighting level is obtained, for example, the road pedestrian flow data is 51, and the preset second pedestrian flow threshold is 60; if the road pedestrian flow data is greater than the third pedestrian flow threshold, the third road lighting level is obtained, for example, the road pedestrian flow data is 79, and the preset third pedestrian flow threshold is 90; wherein the first road lighting level, the second road lighting level and the third road lighting level can be respectively expressed as [0,30], [30,60], (60,90], and the corresponding lighting intensities can be energy-saving, normal and strong lighting, respectively.

[0044] According to an embodiment of the present invention, water level data is extracted based on the road water accumulation information, and it is determined whether the water level data reaches a preset water level threshold and a power-off process is performed, specifically: the water level data is compared with the preset water level threshold; if the water level data is greater than or equal to the preset water level threshold, a water accumulation alarm message is sent to the terminal; based on the water accumulation alarm message, water accumulation duration data is obtained; the water accumulation duration data is compared with the preset duration threshold; if the water accumulation duration data is greater than or equal to the preset duration threshold, a power-off process is performed on the corresponding street lamp.

[0045] Among them, in order to ensure the safety of street lamp electricity use and avoid personal safety accidents, the water level data is compared with the preset water level threshold. If it is greater than or equal to, a water accumulation alarm message is sent to the terminal. For example, the water level data is 0.8 meters, and the preset water level threshold is 0.6 meters. According to the water accumulation alarm information, the water accumulation duration data is obtained, and the water accumulation duration data is compared with the preset duration threshold. If it is greater than or equal to, the corresponding street lamp is cut off from power. For example, the water accumulation duration data is 7 minutes, and the preset duration threshold is 5 minutes.

[0046] According to an embodiment of the present invention, the leakage data of the street lamp bus is extracted according to the leakage monitoring and early warning information, and the street lamp is powered off, specifically: the leakage data of the street lamp bus is extracted according to the leakage monitoring and early warning information; the leakage point number data and the leakage point positioning data are extracted according to the street lamp bus leakage data; it is determined whether the leakage point number data is greater than a preset leakage point number threshold; if greater than, the street lamp behind the leakage point closest to the distribution box is powered off according to the leakage point positioning data; if equal, the street lamp behind the leakage point is powered off according to the leakage point positioning data; if less than, no processing is required.

[0047] Among them, in order to further improve the safety of street lamp electricity use, the street lamp bus leakage data is extracted according to the leakage monitoring and early warning information, the leakage point number data and the leakage point positioning data are extracted according to the street lamp bus leakage data, and it is judged whether the leakage point number data is greater than the preset leakage point number threshold. If it is greater than, the street lamp after the leakage point closest to the distribution box is powered off according to the leakage point positioning data. For example, the leakage point number data is 3, and the preset leakage point number threshold is 1. If it is equal to, the street lamp after the leakage point is powered off according to the leakage point positioning data. For example, the leakage point number data is 1, and the preset leakage point number threshold is 1. If it is less than, no processing is required.

[0048] According to an embodiment of the present invention, a street lamp lighting rate index is obtained based on the circuit status monitoring information, specifically: lighting duration data, lighting period data and power consumption data are extracted based on the circuit status monitoring information; the lighting duration data, lighting period data, power consumption data and preset lighting time data are processed through a preset lighting rate evaluation model to obtain the street lamp lighting rate index.

[0049] In order to improve the lighting rate of the lighting network and the effective lighting rate of each street lamp, the lighting duration data, lighting period data and power consumption data are extracted according to the circuit status monitoring information, and the lighting duration data, lighting period data, power consumption data and preset lighting time data are processed through a preset lighting rate evaluation model to obtain a street lamp lighting rate index. The calculation formula of the lighting rate evaluation model is: ; in, is the street lamp lighting rate index, For the lighting duration data, The data for the lighting period is For power consumption data, To preset the lighting time data, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lighting network database platform).

[0050] According to an embodiment of the present invention, the street lamp lighting rate index is corrected by a preset lighting rate correction model according to the road environment characteristic information to obtain the lighting rate correction index, specifically: the geographical location altitude data and the ambient temperature and humidity data are extracted according to the road environment characteristic information; the street lamp lighting rate index is corrected by a preset lighting rate correction model according to the geographical location altitude data and the ambient temperature and humidity data to obtain the lighting rate correction index.

[0051] Among them, in order to more accurately reflect the actual lighting conditions of street lamps and further improve the lighting rate of the lighting network and the effective lighting rate of each street lamp, the geographical location altitude data and the ambient temperature and humidity data are extracted according to the road environment characteristic information, and the street lamp lighting rate index is corrected by a preset lighting rate correction model according to the geographical location altitude data and the ambient temperature and humidity data to obtain the lighting rate correction index.

[0052] The calculation formula of the lighting rate correction model is: ; in, is the lighting rate correction index, For geographic location altitude data, is the ambient temperature and humidity data, is the street lamp lighting rate index, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset lighting network database platform).

[0053] According to an embodiment of the present invention, the lighting rate correction index is compared with a preset lighting rate correction threshold to determine whether the road lighting rate meets the requirements, specifically: the lighting rate correction index is compared with the preset lighting rate correction threshold to obtain a correction index deviation rate; determine whether the correction index deviation rate is greater than the preset correction index deviation rate threshold; if the correction index deviation rate is greater than or equal to the preset correction index deviation rate threshold, the lighting rate does not meet the requirements; if the correction index deviation rate is less than the preset correction index deviation rate threshold, the lighting rate meets the requirements.

[0054] Among them, in order to further improve the lighting rate of the lighting network, the lighting rate correction index is compared with the preset lighting rate correction threshold to obtain the correction index deviation rate, and it is determined whether the correction index deviation rate is greater than the preset correction index deviation rate threshold. If it is greater than or equal to, the lighting rate does not meet the requirements; if it is less than, the lighting rate meets the requirements.

[0055] According to an embodiment of the present invention, it also includes: extracting air quality data based on road environment characteristic information; determining whether the air quality data is greater than a preset air quality threshold; if the air quality data is greater than or equal to the preset air quality threshold, the air quality on that day exceeds the standard; counting the number of times the air quality exceeds the standard in that month to obtain monthly air quality data; determining whether the aforementioned monthly air quality data is greater than a preset monthly air quality threshold; if the monthly air quality data is greater than or equal to the preset monthly air quality threshold, the local air quality exceeds the standard.

[0056] Among them, in order to grasp the air quality situation, based on the light network system, air quality data is extracted according to the road environment characteristic information, and it is determined whether the air quality data is greater than the preset air quality threshold. If it is greater than or equal to, the air quality on that day exceeds the standard. For example, the air quality data is 123μg / m³, and the preset air quality threshold is 115μg / m³. The number of times the air quality exceeds the standard in that month is counted to obtain the monthly air quality data, and it is determined whether the monthly air quality data is greater than the preset monthly air quality threshold. If it is greater than or equal to, the local air quality exceeds the standard. For example, the monthly air quality data is 7 times, and the preset monthly air quality threshold is 5 times.

[0057] According to an embodiment of the present invention, the method further includes: extracting vehicle speed data based on road feature information; determining whether the vehicle speed data is greater than a preset speed threshold; if the vehicle speed data is greater than or equal to the preset speed threshold, the vehicle is speeding; counting the number of vehicle speeding times per day to obtain a vehicle speeding frequency; determining whether the vehicle speeding frequency is greater than a preset speeding frequency threshold; if the vehicle speeding frequency is greater than or equal to the preset speeding frequency threshold, adding a speed bump to the road.

[0058] Among them, in order to ensure the safety of road vehicles and the personal safety of pedestrians, the vehicle speed data is extracted according to the road feature information, and it is determined whether the vehicle speed data is greater than the preset speed threshold. If it is greater than or equal to, the vehicle is speeding. For example, the vehicle speed data is 68km / h, and the preset speed threshold is 60km / h. The number of vehicle speeding times is counted to obtain the vehicle speeding frequency, and it is determined whether the vehicle speeding frequency is greater than the preset speeding frequency threshold. If it is greater than or equal to, speed bumps are added to the road. For example, the vehicle speeding frequency is 15 times / day, and the preset speeding frequency threshold is 10 times / day.

[0059] The third aspect of the present invention also provides a readable storage medium, which includes a road environment monitoring method program based on a lighting network. When the road environment monitoring method program is executed by a processor, the steps of the road environment monitoring method based on a lighting network as described above are implemented.

[0060] The present invention discloses a road environment monitoring method, system and medium based on a lighting network, which extracts road characteristic information and street lamp monitoring information by acquiring road lamp network information within a preset time period, extracts road environment characteristic information and road pedestrian flow data according to the road characteristic information, obtains road lighting level according to the road pedestrian flow data and performs intelligent adjustment of street lamp brightness, extracts road water accumulation information, leakage monitoring and early warning information and circuit status monitoring information according to the street lamp monitoring information, performs power-off processing according to the road water accumulation information, performs power-off processing according to the leakage monitoring and early warning information, obtains a street lamp lighting rate index according to the circuit status monitoring information, corrects the street lamp lighting rate index through a preset lighting rate correction model according to the road environment characteristic information, obtains a lighting rate correction index, compares the lighting rate correction index with a preset lighting rate correction threshold, and determines whether the road lighting rate meets the requirements. The present application monitors the road environment, road pedestrian flow and road waterlogging based on the lighting network, obtains the road lighting level according to the road pedestrian flow data and performs intelligent adjustment of the street lamp brightness, determines whether the water level data reaches the preset water level threshold according to the road waterlogging information and performs power-off processing, performs power-off processing on the street lamp according to the leakage monitoring and early warning information, obtains the street lamp lighting rate index according to the circuit status monitoring information, and then corrects the street lamp lighting rate index according to the road environment, realizing road safety monitoring and intelligent time-sharing and zoning control of street lamps based on the lighting network, ensuring the safety of night travel and effectively controlling the energy consumption of urban lighting.

[0061] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0062] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0063] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0064] A person of ordinary skill in the art can understand that: all or part of the steps of implementing the above-mentioned method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium, which, when executed, executes the steps of the above-mentioned method embodiment; and the aforementioned storage medium includes: mobile storage devices, read-only memories, random access memories, magnetic disks or optical disks, and other media that can store program codes.

[0065] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A road environment monitoring method based on light networking, characterized in that: The following steps are involved: Obtain the road light networking information within a preset time period, and extract road feature information and street light monitoring information; Extracting road environment characteristic information and road passenger flow data according to the road characteristic information; According to the road traffic data, the road lighting level is obtained and the brightness of the street lamps is intelligently adjusted; Extracting road water accumulation information, leakage monitoring and early warning information, and circuit status monitoring information according to the street lamp monitoring information; Extracting water level data according to the road waterlogging information, determining whether the water level data reaches a preset water level threshold and performing power-off processing; Extracting the busbar leakage data of the street lamp according to the leakage monitoring and early warning information, and cutting off the power supply to the street lamp; Obtaining a street lamp lighting rate index according to the circuit status monitoring information; According to the road environment characteristic information, the street lamp lighting rate index is corrected by a preset lighting rate correction model to obtain a lighting rate correction index; The lighting rate correction index is compared with a preset lighting rate correction threshold to determine whether the road lighting rate meets the requirements.

2. A road environment monitoring method based on light network according to claim 1, characterized in that: The method of obtaining the road lighting level and intelligently adjusting the street lamp brightness according to the road pedestrian flow data is specifically as follows: Comparing the road pedestrian flow data with a preset first pedestrian flow threshold, a second pedestrian flow threshold, and a third pedestrian flow threshold respectively; The first human flow threshold is smaller than the second human flow threshold, and the second human flow threshold is smaller than the third human flow threshold; If the road pedestrian flow data is less than a first pedestrian flow threshold, a first road lighting level is obtained; If the road pedestrian flow data is greater than or equal to the first pedestrian flow threshold and less than or equal to the second pedestrian flow threshold, a second road lighting level is obtained; If the road pedestrian flow data is greater than the third pedestrian flow threshold, the third road lighting level is obtained.

3. A road environment monitoring method based on light network according to claim 2, characterized in that: The extracting of water level data according to the road waterlogging information, determining whether the water level data reaches a preset water level threshold and performing power-off processing, specifically includes: Comparing the accumulated water level data with a preset accumulated water level threshold; If the water level data is greater than or equal to the preset water level threshold, a water level alarm message is sent to the terminal; According to the waterlogging alarm information, obtaining waterlogging duration data; Comparing the water accumulation duration data with a preset duration threshold; If the duration of water accumulation is greater than or equal to the preset duration threshold, the corresponding street light will be powered off.

4. A road environment monitoring method based on light network according to claim 3, characterized in that: The extracting of the street lamp busbar leakage data according to the leakage monitoring and early warning information and performing power-off processing on the street lamp is specifically as follows: Extracting street lamp busbar leakage data according to the leakage monitoring and early warning information; Extracting leakage point number data and leakage point location data according to the street lamp bus leakage data; Determine whether the leakage point number data is greater than a preset leakage point number threshold; If it is greater than, the street lamp behind the leakage point closest to the distribution box is powered off according to the leakage point location data; If they are equal, the street lamps behind the leakage point are powered off according to the leakage point location data; If it is less than, no processing is required.

5. The road environment monitoring method based on light network according to claim 4 is characterized in that: The street lamp lighting rate index is obtained according to the circuit status monitoring information, specifically: Extracting lighting duration data, lighting period data and power consumption data according to the circuit status monitoring information; The lighting duration data, lighting period data, power consumption data and preset lighting time data are processed through a preset lighting rate evaluation model to obtain a street lamp lighting rate index.

6. A road environment monitoring method based on light network according to claim 5, characterized in that: The street lamp lighting rate index is corrected by using a preset lighting rate correction model according to the road environment characteristic information to obtain the lighting rate correction index, specifically: Extracting geographical location altitude data and environmental temperature and humidity data according to the road environment characteristic information; The street lamp lighting rate index is corrected by a preset lighting rate correction model according to the geographical location altitude data and the ambient temperature and humidity data to obtain a lighting rate correction index.

7. A road environment monitoring method based on light network according to claim 6, characterized in that: The lighting rate correction index is compared with a preset lighting rate correction threshold to determine whether the road lighting rate meets the requirement, specifically: Comparing the lighting rate correction index with a preset lighting rate correction threshold to obtain a correction index deviation rate; Determining whether the correction index deviation rate is greater than a preset correction index deviation rate threshold; If the correction index deviation rate is greater than or equal to the preset correction index deviation rate threshold, the lighting rate does not meet the requirement; If the correction index deviation rate is less than the preset correction index deviation rate threshold, the lighting rate meets the requirement.

8. A road environment monitoring system based on a lighting network, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a road environment monitoring method program based on a lighting network, and the road environment monitoring method program based on a lighting network is executed by the processor to implement the following steps: Obtain the road light networking information within a preset time period, and extract road feature information and street light monitoring information; Extracting road environment characteristic information and road pedestrian flow data according to the road characteristic information; obtaining the road lighting level and intelligently adjusting the brightness of the street lamps according to the road pedestrian flow data; Extracting road water accumulation information, leakage monitoring and early warning information, and circuit status monitoring information according to the street lamp monitoring information; extracting water level data according to the road water accumulation information, judging whether the water level data reaches a preset water level threshold and performing power-off processing; extracting street lamp bus leakage data according to the leakage monitoring and early warning information, and performing power-off processing on the street lamp; obtaining a street lamp lighting rate index according to the circuit status monitoring information; According to the road environment characteristic information, the street lamp lighting rate index is corrected by using a preset lighting rate correction model to obtain a lighting rate correction index; The lighting rate correction index is compared with a preset lighting rate correction threshold to determine whether the road lighting rate meets the requirements.

9. A road environment monitoring system based on light network according to claim 8, characterized in that: The method of obtaining the road lighting level and intelligently adjusting the street lamp brightness according to the road pedestrian flow data is specifically as follows: Comparing the road pedestrian flow data with a preset first pedestrian flow threshold, a second pedestrian flow threshold, and a third pedestrian flow threshold respectively; The first human flow threshold is smaller than the second human flow threshold, and the second human flow threshold is smaller than the third human flow threshold; If the road pedestrian flow data is less than a first pedestrian flow threshold, a first road lighting level is obtained; If the road pedestrian flow data is greater than or equal to the first pedestrian flow threshold and less than or equal to the second pedestrian flow threshold, a second road lighting level is obtained; If the road pedestrian flow data is greater than the third pedestrian flow threshold, the third road lighting level is obtained.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a road environment monitoring method, system and medium program based on a lighting network. When the road environment monitoring method, system and medium program based on a lighting network are executed by a processor, the steps of a road environment monitoring method based on a lighting network as described in any one of claims 1 to 7 are implemented.

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