CN112579975A - Environmental parameter monitoring management system based on big data visual analysis - Google Patents
Environmental parameter monitoring management system based on big data visual analysis Download PDFInfo
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Abstract
The invention discloses an environmental parameter monitoring and managing system based on big data visual analysis, which comprises a region dividing module, a monitoring point arrangement module, an air quality monitoring module, an air quality analysis module, a temperature detection module, a humidity analysis module, an analysis server, a scheduling analysis module, a sprinkler scheduling center and a storage database, wherein the region dividing module is used for dividing a water supply area into a plurality of regions; according to the invention, monitoring points are distributed in each sub-area of the urban road area to be monitored, the air quality parameter concentration of each monitoring point in each sub-area is monitored, the road surface temperature and the road surface humidity of each sub-area are detected, the comprehensive environment influence coefficient of each sub-area is comprehensively calculated, whether each sub-area meets the road sprinkling requirement is judged, meanwhile, the position of the corresponding parking point closest to the position of each sub-area meeting the road sprinkling requirement is screened, and workers are informed to carry out sprinkling treatment, so that the requirement of urban environment optimization management is met, and the physical and mental health of the workers is guaranteed.
Description
Technical Field
The invention relates to the technical field of urban environment monitoring, in particular to an environmental parameter monitoring and management system based on big data visual analysis.
Background
In recent years, with the rapid development of urbanization progress in China, urban road networks are more and more concentrated, and the road traffic flow is more and more, but under the action of natural environment and human factors, dust is often accumulated on roads seriously, and meanwhile, because of busy traffic, the urban roads have the condition of dust emission, so that the road environment quality is poor, and the health of people is damaged.
At present, the existing urban environment monitoring and management system has many problems, the existing urban environment monitoring system mainly adopts manual monitoring, and judges the environmental quality of urban roads through manual vision and feeling, so that the air quality of the urban road area cannot be accurately monitored, dust flies, and the safe and stable operation of urban road traffic is influenced, thereby increasing the safety hidden danger of people going out, and bringing great harm to the health of pedestrians; simultaneously current urban environment monitoring management system utilizes the watering lorry to sprinkle water at specific time mostly, so not only increases the work load of watering lorry, consumes a large amount of manual works and vehicle cost, can't accomplish in addition in real time because of the timely effectual processing of watering of road comprehensive environment influence to can't satisfy urban environment optimization management's demand, in order to solve above problem, the environmental parameter monitoring management system based on big data visual analysis of present design.
Disclosure of Invention
The invention aims to provide an environmental parameter monitoring and managing system based on big data visual analysis, which lays monitoring points on each subregion in an urban road area to be monitored through a monitoring point laying module, monitors the concentration of each air quality parameter at each monitoring point in each subregion, counts the average concentration of each air quality parameter in each subregion, calculates the air quality influence coefficient of each subregion, detects the road surface temperature and the road surface humidity of each subregion, comprehensively calculates the comprehensive environment influence coefficient of each subregion through an analysis server, judges whether each subregion meets the road sprinkling requirement or not, simultaneously screens the nearest corresponding parking point position of each subregion position meeting the road sprinkling requirement, and informs workers to carry out sprinkling treatment, thereby solving the problems existing in the background technology.
The purpose of the invention can be realized by the following technical scheme:
an environmental parameter monitoring and management system based on big data visual analysis comprises a region dividing module, a monitoring point arrangement module, an air quality monitoring module, an air quality analysis module, a temperature detection module, a humidity analysis module, an analysis server, a scheduling analysis module, a sprinkler scheduling center and a storage database;
the system comprises a region dividing module, a storage database and a monitoring module, wherein the region dividing module is used for dividing an urban road region to be monitored, dividing the urban road region into a plurality of sub-regions with the same length according to equal road distances, sequentially numbering the positions of the sub-regions according to a sequence, and sending the position numbers of the sub-regions in the urban road region to be monitored to the storage database, wherein the position numbers of the sub-regions are respectively 1,2,. once, i,. once and n;
the monitoring point arrangement module is used for arranging monitoring points in each sub-area of the urban road area to be monitored, numbering the monitoring points in each sub-area of the urban road area to be monitored according to the sequence of arrangement, counting the numbers of the monitoring points in each sub-area, and forming a number set A of the monitoring points in each sub-area of the urban road area to be monitoredi m(ai 1,ai 2,...,ai j,...,ai m)，ai jThe air quality monitoring module is used for sending the number set of the monitoring points in each sub-area in the urban road area to be monitored as the number of the jth monitoring point in the ith sub-area in the urban road area to be monitored;
the air quality monitoring module is connected with the monitoring point arrangement module and used for receiving the number set of each monitoring point in each sub-area in the urban road area to be monitored, which is sent by the monitoring point arrangement module, monitoring the sulfur dioxide concentration, the nitrogen dioxide concentration, the carbon monoxide concentration, the PM2.5 concentration and the PM10 concentration in the air quality parameters of each monitoring point in each sub-area to form each air quality parameter concentration set P of each monitoring point in each sub-areaiR(pi 1r,pi 2r,...,pi jr,...,pi mr)，pi jr is represented as the r air quality at the j monitoring point in the ith sub-regionQuantity parameter concentration, r ═ r1,r2,r3,r4,r5，r1、r2、r3、r4、r5Respectively representing sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air quality parameters, and sending the concentration set of each air quality parameter at each monitoring point in each sub-area to an air quality analysis module;
the air quality analysis module is connected with the air quality monitoring module and used for receiving the concentration set of each air quality parameter at each monitoring point in each sub-area sent by the air quality monitoring module, calculating the average concentration of each air quality parameter in each sub-area, counting the average concentration of each air quality parameter in each sub-area and forming the average concentration set of each air quality parameter in each sub-area
Expressed as the average concentration of the r-th air quality parameter in the i-th sub-area, r-r1,r2,r3,r4,r5Sending the average concentration set of each air quality parameter in each subregion to an analysis server;
the analysis server is connected with the air quality analysis module and used for receiving the average concentration set of each air quality parameter in each sub-area sent by the air quality analysis module, extracting standard sulfur dioxide concentration, standard nitrogen dioxide concentration, standard carbon monoxide concentration, standard PM2.5 concentration and standard PM10 concentration in the air quality parameters of the urban roads stored in the storage database, comparing the received average concentration of each air quality parameter in each sub-area with the corresponding standard air quality parameter concentration, and obtaining the average concentration comparison difference set of each air quality parameter in each sub-area
The air quality influence coefficient is expressed as a comparison difference value between the average concentration of the r-th air quality parameter in the i-th sub-area and the concentration of the corresponding standard air quality parameter, meanwhile, the proportional coefficients corresponding to sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air quality stored in the storage database are extracted, the air quality influence coefficient of each sub-area is calculated, and the calculated air quality influence coefficient of each sub-area is sent to the storage database;
the temperature detection module comprises a temperature detector for detecting the temperature of each subregion in the urban road area to be monitored, detecting the road surface temperature of each subregion through the temperature detector, counting the road surface temperature of each subregion in the urban road area to be monitored, and forming a road surface temperature set T (T) of each subregion in the urban road area to be monitored1,T2,...,Ti,...,Tn)，TiThe road surface temperature is expressed as the road surface temperature of the ith sub-area in the urban road area to be monitored, and the road surface temperature set of each sub-area in the urban road area to be monitored is sent to an analysis server;
the humidity detection module comprises a humidity detector and is used for detecting the road surface humidity of each subregion in the urban road region to be monitored, randomly detecting the humidity of each road surface position in each subregion through the humidity detector, counting the humidity of each road surface position in each subregion in the urban road region to be monitored, and forming a humidity set RH of each road surface position in each subregion in the urban road region to be monitoredi(RHix1,RHix2,...,RHixf,...,RHixl)，RHixfThe humidity set of the road surface position in each sub-area in the urban road area to be monitored is sent to a humidity analysis module;
the humidity analysis module is connected with the humidity detection module and used for receiving the humidity set of each road surface position in each sub-area in the urban road area to be monitored, which is sent by the humidity detection module, calculating the average road surface humidity of each sub-area in the urban road area to be monitored, and sending the average road surface humidity of each sub-area in the urban road area to be monitored to the analysis server;
the analysis server is respectively connected with the temperature detection module and the humidity analysis module and is used for receiving the road surface temperature set of each subregion in the urban road area to be monitored, which is sent by the temperature detection module, receiving the average road surface humidity of each subregion in the urban road area to be monitored, which is sent by the humidity analysis module, extracting the standard ground temperature and the standard ground humidity of the urban road environment stored in the storage database, calculating the comprehensive environment influence coefficient of each subregion, extracting the standard comprehensive environment influence coefficient of the urban road environment stored in the storage database, comparing the calculated comprehensive environment influence coefficient of each subregion with the stored standard comprehensive environment influence coefficient of the urban road environment, and if the comprehensive environment influence coefficient of a certain subregion is less than or equal to the standard comprehensive environment influence coefficient, indicating that the subregion does not accord with the road watering requirement, if the comprehensive environment influence coefficient of a certain subregion is greater than the standard comprehensive environment influence coefficient, the subregion is shown to meet the road sprinkling requirement, the position numbers of the subregions meeting the road sprinkling requirement are counted, and the position numbers of the subregions meeting the road sprinkling requirement are sent to a scheduling analysis module;
the dispatching analysis module is connected with the analysis server and used for receiving the position numbers of all sub-areas which are sent by the analysis server and meet the road sprinkling requirement, extracting the parking point positions of the sprinkler in the city and stored in the storage database, comparing the received positions of all the sub-areas which meet the road sprinkling requirement with the stored parking point positions of the sprinkler in the city, screening the corresponding parking point positions which are closest to the positions of all the sub-areas which meet the road sprinkling requirement, and sending the corresponding parking point positions which are closest to the positions of all the sub-areas which meet the road sprinkling requirement to the sprinkler dispatching center;
the sprinkler dispatching center is connected with the dispatching analysis module and used for receiving the corresponding parking point position which is sent by the dispatching analysis module and is closest to the position of each sub-region meeting the road sprinkling requirement, informing the received workers in each parking point and sprinkling the corresponding sub-region which is closest to the parking point and meets the road sprinkling requirement;
the storage database is respectively connected with the area division module, the analysis server and the scheduling analysis module and is used for receiving position numbers of a plurality of sub-areas in the urban road area to be monitored, which are sent by the area division module, receiving air quality influence coefficients of the sub-areas sent by the analysis server, storing standard sulfur dioxide concentration, standard nitrogen dioxide concentration, standard carbon monoxide concentration, standard PM2.5 concentration and standard PM10 concentration in air quality parameters of the urban road, storing proportional coefficients corresponding to sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air quality, and storing standard ground temperature T of the urban road environmentSign boardAnd standard ground humidity RHSign boardStoring standard comprehensive environment influence coefficients of urban road environment and the positions of all parking points of sprinkler cars in cities;
furthermore, the monitoring point arrangement module arranges a plurality of monitoring points on street lamps at two sides of the road of each subregion in an evenly distributed mode, each monitoring point corresponds to the street lamps at two sides of the road of each subregion one by one, and the number of the monitoring points arranged in each subregion is the same;
furthermore, the air quality monitoring module comprises a sulfur dioxide concentration monitoring unit, a nitrogen dioxide concentration monitoring unit, a carbon monoxide concentration monitoring unit, a PM2.5 concentration monitoring unit and a PM10 concentration monitoring unit, wherein the sulfur dioxide concentration monitoring unit is a sulfur dioxide concentration sensor and is installed at each monitoring point in each sub-area and used for detecting the sulfur dioxide concentration at each monitoring point in each sub-area in real time; the nitrogen dioxide concentration monitoring unit is a nitrogen dioxide concentration sensor, is arranged at each monitoring point in each sub-area and is used for detecting the nitrogen dioxide concentration at each monitoring point in each sub-area in real time; the carbon monoxide concentration monitoring unit is a carbon monoxide concentration sensor, is arranged at each monitoring point in each sub-area and is used for detecting the carbon monoxide concentration at each monitoring point in each sub-area in real time; the PM2.5 concentration monitoring unit is a PM2.5 concentration sensor, is arranged at each monitoring point in each sub-area and is used for detecting the PM2.5 concentration at each monitoring point in each sub-area in real time; the PM10 concentration monitoring unit is a PM10 concentration sensor, is arranged at each monitoring point in each subregion, and is used for detecting the PM10 concentration at each monitoring point in each subregion in real time;
further, the calculation formula of the average concentration of each air quality parameter in each sub-area is
Expressed as the mean concentration of the r-th air quality parameter, p, in the i-th sub-areai jr is expressed as the concentration of the r-th air quality parameter at the j-th monitoring point in the ith sub-region, wherein r is r1,r2,r3,r4,r5M represents the number of monitoring points distributed in each subregion;
further, the air quality influence coefficient calculation formula of each subarea is
ξiExpressed as the air quality influence coefficient of the ith sub-zone,
kCO,kPM2.5,kPM10expressed as the proportional coefficients corresponding to sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air mass respectively,
expressed as the comparison difference between the average concentration of the r-th air quality parameter in the i-th sub-area and the corresponding standard air quality parameter concentration, wherein r is r1,r2,r3,r4,r5，pSign boardr is expressed as the r standard air quality of urban roadThe parameter concentration, e expressed as a natural number, is equal to 2.718;
further, the calculation formula of the average road surface humidity of each subarea in the urban road area to be monitored is
Expressed as the average road surface humidity, RH, of the ith sub-zone of the urban road zone to be monitoredixfExpressing the humidity of the ith road surface position in the ith sub-area in the urban road area to be monitored, and expressing l as the number of positions for randomly detecting the road surface humidity in each sub-area;
further, the calculation formula of the comprehensive environment influence coefficient of each sub-area is
ψiExpressed as the overall environmental impact coefficient, T, of the ith sub-zoneiExpressed as the road surface temperature, T, of the ith sub-zone of the urban road zone to be monitoredSign boardExpressed as the standard ground temperature of an urban road environment,
expressed as the average road surface humidity, RH, of the ith sub-zone of the urban road zone to be monitoredSign boardStandard ground humidity, ξ, expressed as the urban road environmentiExpressed as the air quality influence coefficient of the ith sub-zone.
Has the advantages that:
(1) the invention provides an environmental parameter monitoring management system based on big data visual analysis, which arranges monitoring points of each sub-area in an urban road area to be monitored through a monitoring point arrangement module, monitors the concentration of each air quality parameter at each monitoring point in each sub-area, counts the average concentration of each air quality parameter in each sub-area, thereby improving the accuracy and reliability of monitoring data, calculates the air quality influence coefficient of each sub-area, detects the road surface temperature and the road surface humidity of each sub-area, provides reliable reference data for later-stage calculation of the comprehensive environmental influence coefficient of each sub-area, and simultaneously comprehensively calculates the comprehensive environmental influence coefficient of each sub-area through an analysis server to judge whether each sub-area meets the road water sprinkling requirement, thereby avoiding the safe and stable operation of urban road traffic and reducing the safety hidden danger of people going out, the physical and psychological health of the people on the trip is guaranteed.
(2) According to the invention, the corresponding parking point position closest to each subregion position meeting the road sprinkling requirement is screened by the scheduling analysis module, and workers in each parking point are informed to sprinkle water to the corresponding subregion closest to the parking point meeting the road sprinkling requirement, so that the workload of the sprinkler is reduced, a large amount of labor and vehicle cost is saved, and the scheduling analysis module has the characteristic of timeliness, thereby meeting the requirement of urban environment optimization management.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an environmental parameter monitoring and management system based on big data visual analysis includes a region division module, a monitoring point arrangement module, an air quality monitoring module, an air quality analysis module, a temperature detection module, a humidity analysis module, an analysis server, a scheduling analysis module, a sprinkler scheduling center, and a storage database.
The region dividing module is used for dividing an urban road region to be monitored, dividing the urban road region into a plurality of sub-regions with the same length according to equal road distances, numbering the positions of the sub-regions in sequence, wherein the position numbers of the sub-regions are respectively 1,2, 1.
The monitoring point arrangement module is used for arranging monitoring points in each subregion in an urban road area to be monitored, arranging a plurality of monitoring points on street lamps on two sides of a road of each subregion in an evenly distributed mode, enabling the monitoring points to correspond to the street lamps on two sides of the road of each subregion one to one, enabling the number of the monitoring points arranged in each subregion to be the same, sequentially numbering the monitoring points in each subregion in the urban road area to be monitored according to the sequence of arrangement, counting the numbers of the monitoring points in each subregion, and forming a number set A of the monitoring points in each subregion in the urban road area to be monitoredi m(ai 1,ai 2,...,ai j,...,ai m)，ai jAnd the number of the jth monitoring point in the ith sub-area in the urban road area to be monitored is represented, and the number of each monitoring point in each sub-area in the urban road area to be monitored is sent to the air quality monitoring module in a set mode.
The air quality monitoring module is connected with the monitoring point arrangement module and used for receiving the number set of each monitoring point in each sub-area in the urban road area to be monitored, which is sent by the monitoring point arrangement module, and comprises a sulfur dioxide concentration monitoring unit, a nitrogen dioxide concentration monitoring unit, a carbon monoxide concentration monitoring unit, a PM2.5 concentration monitoring unit and a PM10 concentration monitoring unit, wherein the sulfur dioxide concentration monitoring unit is a sulfur dioxide concentration sensor and is installed at each monitoring point in each sub-area and used for detecting the sulfur dioxide concentration at each monitoring point in each sub-area in real time; the nitrogen dioxide concentration monitoring unit is a nitrogen dioxide concentration sensor, is arranged at each monitoring point in each sub-area and is used for detecting the nitrogen dioxide concentration at each monitoring point in each sub-area in real time; the carbon monoxide concentration monitoring unit is a carbon monoxide concentration sensor, is arranged at each monitoring point in each sub-area and is used for detecting the carbon monoxide concentration at each monitoring point in each sub-area in real time; the PM2.5 concentration monitoring unit is a PM2.5 concentration sensor, is arranged at each monitoring point in each sub-area and is used for detecting the PM2.5 concentration at each monitoring point in each sub-area in real time; the PM10 concentration monitoring unit is a PM10 concentration sensor, is arranged at each monitoring point in each subarea, and is used for detecting the PM10 concentration at each monitoring point in each subarea in real time;
meanwhile, the air quality monitoring module counts the concentration of each air quality parameter at each monitoring point in each sub-area to form a concentration set P of each air quality parameter at each monitoring point in each sub-areaiR(pi 1r,pi 2r,...,pi jr,...,pi mr)，pi jr is expressed as the concentration of the r-th air quality parameter at the j-th monitoring point in the ith sub-region, wherein r is r1,r2,r3,r4,r5，r1、r2、r3、r4、r5Respectively expressed as sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air quality parameters, and sends the concentration set of each air quality parameter at each monitoring point in each sub-area to the air quality analysis module.
The air quality analysis module is connected with the air quality monitoring module and used for receiving the concentration set of each air quality parameter at each monitoring point in each sub-area sent by the air quality monitoring module and calculating the average concentration of each air quality parameter in each sub-area, and the calculation formula of the average concentration of each air quality parameter in each sub-area is
Expressed as the mean concentration of the r-th air quality parameter, p, in the i-th sub-areai jr is expressed as the concentration of the r-th air quality parameter at the j-th monitoring point in the ith sub-region, wherein r is r1,r2,r3,r4,r5M is the number of monitoring points distributed in each sub-area, and the average concentration of each air quality parameter in each sub-area is counted to form an average concentration set of each air quality parameter in each sub-area
Expressed as the average concentration of the r-th air quality parameter in the i-th sub-area, r-r1,r2,r3,r4,r5And sending the average concentration set of the air quality parameters in each sub-area to an analysis server.
The analysis server is connected with the air quality analysis module and used for receiving the average concentration set of each air quality parameter in each sub-area sent by the air quality analysis module, extracting standard sulfur dioxide concentration, standard nitrogen dioxide concentration, standard carbon monoxide concentration, standard PM2.5 concentration and standard PM10 concentration in the air quality parameters of the urban roads stored in the storage database, comparing the received average concentration of each air quality parameter in each sub-area with the corresponding standard air quality parameter concentration, and obtaining the average concentration comparison difference set of each air quality parameter in each sub-area
Expressed as the contrast difference between the average concentration of the r-th air quality parameter in the i-th sub-area and the corresponding concentration of the standard air quality parameterA value;
the analysis server extracts the proportional coefficients corresponding to sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air quality stored in the storage database, and calculates the air quality influence coefficient of each subarea, wherein the calculation formula of the air quality influence coefficient of each subarea is
ξiExpressed as the air quality influence coefficient of the ith sub-zone,
kCO,kPM2.5,kPM10expressed as the proportional coefficients corresponding to sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air mass respectively,
expressed as the comparison difference between the average concentration of the r-th air quality parameter in the i-th sub-area and the corresponding standard air quality parameter concentration, wherein r is r1,r2,r3,r4,r5，pSign boardr is expressed as the concentration of the r-th standard air quality parameter of the urban road, e is expressed as a natural number and is equal to 2.718, and the calculated air quality influence coefficient of each subarea is sent to a storage database.
The temperature detection module comprises a temperature detector for detecting the temperature of each subregion in the urban road area to be monitored, detecting the road surface temperature of each subregion through the temperature detector, counting the road surface temperature of each subregion in the urban road area to be monitored, and forming a road surface temperature set T (T) of each subregion in the urban road area to be monitored1,T2,...,Ti,...,Tn)，TiAnd the road surface temperature is expressed as the road surface temperature of the ith sub-area in the urban road area to be monitored, and the road surface temperature set of each sub-area in the urban road area to be monitored is sent to the analysis server.
The humidity detection module comprises a humidity detector for monitoringDetecting the road surface humidity of each sub-area in the urban road area, randomly detecting the humidity of each road surface position in each sub-area through a humidity detector, counting the humidity of each road surface position in each sub-area in the urban road area to be monitored, and forming a humidity set RH of each road surface position in each sub-area in the urban road area to be monitoredi(RHix1,RHix2,...,RHixf,...,RHixl)，RHixfThe humidity set of the road surface position in each sub-area in the urban road area to be monitored is sent to a humidity analysis module;
the humidity analysis module is connected with the humidity detection module and used for receiving the humidity set of each road surface position in each sub-area in the urban road area to be monitored, which is sent by the humidity detection module, and calculating the average road surface humidity of each sub-area in the urban road area to be monitored, wherein the calculation formula of the average road surface humidity of each sub-area in the urban road area to be monitored is
Expressed as the average road surface humidity, RH, of the ith sub-zone of the urban road zone to be monitoredixfThe humidity of the ith sub-area of the urban road area to be monitored is represented as l, the number of the positions of the road humidity in each sub-area is randomly detected, and the average road humidity of each sub-area of the urban road area to be monitored is sent to an analysis server.
The analysis server is respectively connected with the temperature detection module and the humidity analysis module and is used for receiving the pavement temperature set of each subregion in the urban road area to be monitored, sent by the temperature detection module, receiving the average pavement humidity of each subregion in the urban road area to be monitored, sent by the humidity analysis module, extracting the average pavement humidity of each subregion in the urban road area to be monitored, and storing the average pavement humidity in the storage databaseCalculating the comprehensive environment influence coefficient of each subregion according to the standard ground temperature and standard ground humidity of the urban road environment, wherein the calculation formula of the comprehensive environment influence coefficient of each subregion is
ψiExpressed as the overall environmental impact coefficient, T, of the ith sub-zoneiExpressed as the road surface temperature, T, of the ith sub-zone of the urban road zone to be monitoredSign boardExpressed as the standard ground temperature of an urban road environment,
expressed as the average road surface humidity, RH, of the ith sub-zone of the urban road zone to be monitoredSign boardStandard ground humidity, ξ, expressed as the urban road environmentiThe method comprises the steps of expressing the air quality influence coefficient of the ith sub-area, simultaneously extracting the standard comprehensive environment influence coefficient of the urban road environment stored in a storage database, comparing the calculated comprehensive environment influence coefficient of each sub-area with the stored standard comprehensive environment influence coefficient of the urban road environment, if the comprehensive environment influence coefficient of a certain sub-area is smaller than or equal to the standard comprehensive environment influence coefficient, indicating that the sub-area does not accord with the road watering requirement, if the comprehensive environment influence coefficient of a certain sub-area is larger than the standard comprehensive environment influence coefficient, indicating that the sub-area accords with the road watering requirement, counting the position numbers of the sub-areas which accord with the road watering requirement, and sending the position numbers of the sub-areas which accord with the road watering requirement to a scheduling analysis module.
The dispatching analysis module is connected with the analysis server and used for receiving the position numbers of all sub-areas which are sent by the analysis server and meet the road sprinkling requirement, extracting the parking point positions of the sprinkler in the city and stored in the storage database, comparing the received positions of all the sub-areas which meet the road sprinkling requirement with the stored parking point positions of the sprinkler in the city, screening the corresponding parking point positions which are closest to the positions of all the sub-areas which meet the road sprinkling requirement, and sending the corresponding parking point positions which are closest to the positions of all the sub-areas which meet the road sprinkling requirement to the sprinkler dispatching center;
the sprinkler dispatching center is connected with the dispatching analysis module and used for receiving the position of the corresponding parking point which is sent by the dispatching analysis module and is closest to the position of each sub-area meeting the requirement of road sprinkling, informing the received workers in each parking point and carrying out sprinkling treatment on the corresponding sub-area which is closest to the parking point and meets the requirement of road sprinkling.
The storage database is respectively connected with the area division module, the analysis server and the scheduling analysis module and is used for receiving position numbers of a plurality of sub-areas in the urban road area to be monitored, which are sent by the area division module, receiving air quality influence coefficients of the sub-areas sent by the analysis server, storing standard sulfur dioxide concentration, standard nitrogen dioxide concentration, standard carbon monoxide concentration, standard PM2.5 concentration and standard PM10 concentration in air quality parameters of the urban road, storing proportional coefficients corresponding to sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air quality, and storing standard ground temperature T of the urban road environmentSign boardAnd standard ground humidity RHSign boardAnd storing the standard comprehensive environment influence coefficient of the urban road environment and the positions of all parking points of the sprinkler in the city.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (7)
1. The utility model provides an environmental parameter monitoring management system based on big data visual analysis which characterized in that: the system comprises a region dividing module, a monitoring point arrangement module, an air quality monitoring module, an air quality analysis module, a temperature detection module, a humidity analysis module, an analysis server, a scheduling analysis module, a sprinkler scheduling center and a storage database;
the system comprises a region dividing module, a storage database and a monitoring module, wherein the region dividing module is used for dividing an urban road region to be monitored, dividing the urban road region into a plurality of sub-regions with the same length according to equal road distances, sequentially numbering the positions of the sub-regions according to a sequence, and sending the position numbers of the sub-regions in the urban road region to be monitored to the storage database, wherein the position numbers of the sub-regions are respectively 1,2,. once, i,. once and n;
the monitoring point arrangement module is used for arranging monitoring points in each sub-area of the urban road area to be monitored, numbering the monitoring points in each sub-area of the urban road area to be monitored according to the sequence of arrangement, counting the numbers of the monitoring points in each sub-area, and forming a number set A of the monitoring points in each sub-area of the urban road area to be monitoredi m(ai 1,ai 2,...,ai j,...,ai m)，ai jThe air quality monitoring module is used for sending the number set of the monitoring points in each sub-area in the urban road area to be monitored as the number of the jth monitoring point in the ith sub-area in the urban road area to be monitored;
the air quality monitoring module is connected with the monitoring point arrangement module and used for receiving the number set of each monitoring point in each sub-area in the urban road area to be monitored, which is sent by the monitoring point arrangement module, monitoring the sulfur dioxide concentration, the nitrogen dioxide concentration, the carbon monoxide concentration, the PM2.5 concentration and the PM10 concentration in the air quality parameters of each monitoring point in each sub-area to form each air quality parameter concentration set P of each monitoring point in each sub-areaiR(pi 1r,pi 2r,...,pi jr,...,pi mr)，pi jr is expressed as the concentration of the r-th air quality parameter at the j-th monitoring point in the ith sub-region, wherein r is r1,r2,r3,r4,r5，r1、r2、r3、r4、r5Respectively expressed as sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air quality parameters, and monitoring points in each subareaSending the concentration set of each air quality parameter to an air quality analysis module;
the air quality analysis module is connected with the air quality monitoring module and used for receiving the concentration set of each air quality parameter at each monitoring point in each sub-area sent by the air quality monitoring module, calculating the average concentration of each air quality parameter in each sub-area, counting the average concentration of each air quality parameter in each sub-area and forming the average concentration set of each air quality parameter in each sub-area
Expressed as the average concentration of the r-th air quality parameter in the i-th sub-area, r-r1,r2,r3,r4,r5Sending the average concentration set of each air quality parameter in each subregion to an analysis server;
the analysis server is connected with the air quality analysis module and used for receiving the average concentration set of each air quality parameter in each sub-area sent by the air quality analysis module, extracting standard sulfur dioxide concentration, standard nitrogen dioxide concentration, standard carbon monoxide concentration, standard PM2.5 concentration and standard PM10 concentration in the air quality parameters of the urban roads stored in the storage database, comparing the received average concentration of each air quality parameter in each sub-area with the corresponding standard air quality parameter concentration, and obtaining the average concentration comparison difference set of each air quality parameter in each sub-area
Expressed as the comparison difference between the average concentration of the r-th air quality parameter in the i-th sub-area and the corresponding standard air quality parameter concentration, and simultaneously extracted and stored in the storage databaseCalculating the air quality influence coefficient of each subarea according to the proportional coefficient corresponding to sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air quality, and sending the calculated air quality influence coefficient of each subarea to a storage database;
the temperature detection module comprises a temperature detector for detecting the temperature of each subregion in the urban road area to be monitored, detecting the road surface temperature of each subregion through the temperature detector, counting the road surface temperature of each subregion in the urban road area to be monitored, and forming a road surface temperature set T (T) of each subregion in the urban road area to be monitored1,T2,...,Ti,...,Tn)，TiThe road surface temperature is expressed as the road surface temperature of the ith sub-area in the urban road area to be monitored, and the road surface temperature set of each sub-area in the urban road area to be monitored is sent to an analysis server;
the humidity detection module comprises a humidity detector and is used for detecting the road surface humidity of each subregion in the urban road region to be monitored, randomly detecting the humidity of each road surface position in each subregion through the humidity detector, counting the humidity of each road surface position in each subregion in the urban road region to be monitored, and forming a humidity set RH of each road surface position in each subregion in the urban road region to be monitoredi(RHix1,RHix2,...,RHixf,...,RHixl)，RHixfThe humidity set of the road surface position in each sub-area in the urban road area to be monitored is sent to a humidity analysis module;
the humidity analysis module is connected with the humidity detection module and used for receiving the humidity set of each road surface position in each sub-area in the urban road area to be monitored, which is sent by the humidity detection module, calculating the average road surface humidity of each sub-area in the urban road area to be monitored, and sending the average road surface humidity of each sub-area in the urban road area to be monitored to the analysis server;
the analysis server is respectively connected with the temperature detection module and the humidity analysis module and is used for receiving the road surface temperature set of each subregion in the urban road area to be monitored, which is sent by the temperature detection module, receiving the average road surface humidity of each subregion in the urban road area to be monitored, which is sent by the humidity analysis module, extracting the standard ground temperature and the standard ground humidity of the urban road environment stored in the storage database, calculating the comprehensive environment influence coefficient of each subregion, extracting the standard comprehensive environment influence coefficient of the urban road environment stored in the storage database, comparing the calculated comprehensive environment influence coefficient of each subregion with the stored standard comprehensive environment influence coefficient of the urban road environment, and if the comprehensive environment influence coefficient of a certain subregion is less than or equal to the standard comprehensive environment influence coefficient, indicating that the subregion does not accord with the road watering requirement, if the comprehensive environment influence coefficient of a certain subregion is greater than the standard comprehensive environment influence coefficient, the subregion is shown to meet the road sprinkling requirement, the position numbers of the subregions meeting the road sprinkling requirement are counted, and the position numbers of the subregions meeting the road sprinkling requirement are sent to a scheduling analysis module;
the dispatching analysis module is connected with the analysis server and used for receiving the position numbers of all sub-areas which are sent by the analysis server and meet the road sprinkling requirement, extracting the parking point positions of the sprinkler in the city and stored in the storage database, comparing the received positions of all the sub-areas which meet the road sprinkling requirement with the stored parking point positions of the sprinkler in the city, screening the corresponding parking point positions which are closest to the positions of all the sub-areas which meet the road sprinkling requirement, and sending the corresponding parking point positions which are closest to the positions of all the sub-areas which meet the road sprinkling requirement to the sprinkler dispatching center;
the sprinkler dispatching center is connected with the dispatching analysis module and used for receiving the corresponding parking point position which is sent by the dispatching analysis module and is closest to the position of each sub-region meeting the road sprinkling requirement, informing the received workers in each parking point and sprinkling the corresponding sub-region which is closest to the parking point and meets the road sprinkling requirement;
the storage database is divided into regionsThe system comprises a module, an analysis server and a dispatching analysis module which are connected and used for receiving position numbers of a plurality of sub-areas in an urban road area to be monitored, which are sent by an area dividing module, receiving air quality influence coefficients of the sub-areas sent by the analysis server, storing standard sulfur dioxide concentration, standard nitrogen dioxide concentration, standard carbon monoxide concentration, standard PM2.5 concentration and standard PM10 concentration in air quality parameters of the urban road, storing proportional coefficients corresponding to the sulfur dioxide, the nitrogen dioxide, the carbon monoxide, the PM2.5 and the PM10 in the air quality, and storing standard ground temperature T of the urban road environmentSign boardAnd standard ground humidity RHSign boardAnd storing the standard comprehensive environment influence coefficient of the urban road environment and the positions of all parking points of the sprinkler in the city.
2. The environmental parameter monitoring and management system based on big data visual analysis according to claim 1, characterized in that: the monitoring point distribution module is used for distributing a plurality of monitoring points on street lamps on two sides of the road of each subregion in an evenly distributed mode, the monitoring points correspond to the street lamps on two sides of the road of each subregion one to one, and the number of the monitoring points distributed in each subregion is the same.
3. The environmental parameter monitoring and management system based on big data visual analysis according to claim 1, characterized in that: the air quality monitoring module comprises a sulfur dioxide concentration monitoring unit, a nitrogen dioxide concentration monitoring unit, a carbon monoxide concentration monitoring unit, a PM2.5 concentration monitoring unit and a PM10 concentration monitoring unit, wherein the sulfur dioxide concentration monitoring unit is a sulfur dioxide concentration sensor and is arranged at each monitoring point in each sub-area and used for detecting the sulfur dioxide concentration at each monitoring point in each sub-area in real time; the nitrogen dioxide concentration monitoring unit is a nitrogen dioxide concentration sensor, is arranged at each monitoring point in each sub-area and is used for detecting the nitrogen dioxide concentration at each monitoring point in each sub-area in real time; the carbon monoxide concentration monitoring unit is a carbon monoxide concentration sensor, is arranged at each monitoring point in each sub-area and is used for detecting the carbon monoxide concentration at each monitoring point in each sub-area in real time; the PM2.5 concentration monitoring unit is a PM2.5 concentration sensor, is arranged at each monitoring point in each sub-area and is used for detecting the PM2.5 concentration at each monitoring point in each sub-area in real time; the PM10 concentration monitoring unit is a PM10 concentration sensor, is installed at each monitoring point in each subregion, and is used for detecting the PM10 concentration at each monitoring point in each subregion in real time.
4. The environmental parameter monitoring and management system based on big data visual analysis according to claim 1, characterized in that: the calculation formula of the average concentration of each air quality parameter in each subregion is
Expressed as the mean concentration of the r-th air quality parameter, p, in the i-th sub-areai jr is expressed as the concentration of the r-th air quality parameter at the j-th monitoring point in the ith sub-region, wherein r is r1,r2,r3,r4,r5And m represents the number of monitoring points distributed in each sub-area.
5. The environmental parameter monitoring and management system based on big data visual analysis according to claim 1, characterized in that: the air quality influence coefficient calculation formula of each subarea is
ξiAir quality influence coefficient, k, expressed as the ith sub-zoneSO2,kNO2,kCO,kPM2.5,kPM10Expressed as the proportional coefficients corresponding to sulfur dioxide, nitrogen dioxide, carbon monoxide, PM2.5 and PM10 in the air mass respectively,
expressed as the comparison difference between the average concentration of the r-th air quality parameter in the i-th sub-area and the corresponding standard air quality parameter concentration, wherein r is r1,r2,r3,r4,r5，pSign boardr is expressed as the r-th standard air quality parameter concentration of the urban road, and e is expressed as a natural number and is equal to 2.718.
6. The environmental parameter monitoring and management system based on big data visual analysis according to claim 1, characterized in that: the calculation formula of the average road surface humidity of each subarea in the urban road area to be monitored is
Expressed as the average road surface humidity, RH, of the ith sub-zone of the urban road zone to be monitoredixfThe humidity of the ith sub-area of the urban road area to be monitored is represented, and l is the number of randomly detected positions of the humidity of the pavement in each sub-area.
7. The environmental parameter monitoring and management system based on big data visual analysis according to claim 1, characterized in that: the calculation formula of the comprehensive environment influence coefficient of each subarea is
ψiExpressed as the overall environmental impact coefficient, T, of the ith sub-zoneiExpressed as the road surface temperature, T, of the ith sub-zone of the urban road zone to be monitoredSign boardExpressed as the standard ground temperature of an urban road environment,
indicated as urban road to be monitoredAverage road surface humidity, RH, of the ith sub-zone of the zoneSign boardStandard ground humidity, ξ, expressed as the urban road environmentiExpressed as the air quality influence coefficient of the ith sub-zone.
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