CN115901550A - Pollution source monitoring and analyzing system and method based on Internet of things - Google Patents
Pollution source monitoring and analyzing system and method based on Internet of things Download PDFInfo
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Abstract
The invention discloses a pollution source monitoring and analyzing system and method based on the Internet of things, wherein the pollution source monitoring and analyzing system comprises a real-time three-dimensional space module and an atmospheric pollution source concentration evaluation module, the three-dimensional space module is provided with a wind direction data module, a real-time wind speed data module and a wind direction wind speed data module, the atmospheric pollution source concentration evaluation module is provided with a chemical plant positioning module, an acquisition module, a concentration calculation module and a control staggered time module, the acquisition module is used for acquiring the temperature of the day and the concentration of pollution gas emitted by a chemical plant, the concentration calculation module is used for calculating the concentration index of the pollution gas, and the control staggered time module is used for preventing the concentration of the superposed pollution gas from being too high.
Description
Technical Field
The invention relates to the technical field of monitoring systems, in particular to a pollution source monitoring and analyzing system and method based on the Internet of things.
Background
With the rapid development of human economic activities and production, a large amount of waste gas and smoke substances are discharged into the atmosphere while a large amount of energy is consumed, and the quality of the atmospheric environment is seriously influenced, particularly in densely populated cities and industrial areas.
The existing pollution source monitoring and analyzing system lacks pertinence, only monitors the concentration of the polluted gas discharged from an industrial area, lacks the monitoring of the concentration of coincident polluted gas formed by meeting the concentrations of the polluted gas, and cannot control the phenomenon of serious atmospheric pollution caused by coincidence.
In view of the above, there is a need for a pollution source monitoring and analyzing system and method based on the internet of things.
Disclosure of Invention
The invention aims to provide a pollution source monitoring and analyzing system and method based on the Internet of things, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides a pollution sources monitoring analysis system based on thing networking, pollution sources monitoring analysis system includes real-time three-dimensional space module and atmosphere pollution sources concentration evaluation module, the three-dimensional space module is equipped with wind direction data module, real-time wind speed data module and wind direction wind speed data module, real-time wind direction data module is used for extracting real-time wind direction data information, real-time wind speed data module is used for extracting real-time wind speed data information, wind direction wind speed data module is used for synthesizing real-time wind direction data information and real-time wind speed data information, atmosphere pollution sources concentration evaluation module is used for assessing the pollution index.
In the technical scheme, the pollution source monitoring and analyzing system based on the internet of things comprises a real-time three-dimensional space module and an atmospheric pollution source concentration evaluation module, wherein the three-dimensional space module is provided with a wind direction data module, a real-time wind speed data module and a wind direction wind speed data module, the real-time wind direction data module is used for accurately collecting real-time wind direction data, the real-time wind speed data module is used for accurately collecting real-time wind speed data, the wind speed and wind direction data module is used for combining the collected real-time wind direction data and the collected real-time wind speed data, and the atmospheric pollution source concentration evaluation module is used for evaluating an atmospheric pollution concentration index, so that the atmospheric pollution caused by overlarge pollution can be accurately prevented and controlled.
Further, the atmosphere pollution source concentration evaluation module is equipped with chemical plant orientation module, collection module, concentration calculation module and control time module that staggers, chemical plant orientation module and three-dimensional space module are connected and are used for acquireing chemical plant central point and put, collection module is equipped with temperature module and gaseous pollutants concentration module, temperature module is used for gathering real-time temperature, gaseous pollutants concentration module is used for gathering the gaseous pollutants concentration that chemical plant discharged, concentration calculation module is used for calculating gaseous pollutants's concentration index, control time module that staggers is used for preventing that coincidence gaseous pollutants concentration is too high.
In the technical scheme, the atmospheric pollution source concentration evaluation module comprises a chemical plant positioning module, an acquisition module, a concentration calculation module and a control staggered time module, wherein the chemical plant positioning module is used for accurately collecting chemical plant positioning coordinates and is convenient to place into a plane coordinate system, the acquisition module is used for accurately collecting the temperature of the day and the concentration of pollution gas emitted by a chemical plant, the concentration calculation module is used for accurately calculating the concentration value of the emitted pollution gas, the control staggered time module is used for controlling the concentration coincidence concentration value to exceed the standard, and the atmospheric pollution source concentration evaluation module is convenient for relieving the atmospheric pollution degree.
Further, the chemical plant positioning module is provided with a linear distance calculation module, the linear distance calculation module is used for estimating the linear distance between chemical plants, the concentration calculation module is provided with a concentration diffusion calculation module and a concentration coincidence calculation module, and the concentration diffusion calculation module is used for calculating the diffusion surplus of the pollutant gas discharged from the chemical plants.
In the technical scheme, the chemical plant positioning module comprises a linear distance calculating module, the linear distance calculating module is used for accurately calculating the linear distance between chemical plants on a plane coordinate system, the concentration calculating module comprises a concentration diffusion calculating module and a concentration coincidence calculating module, and the concentration diffusion calculating module is used for accurately calculating the diffusion concentration of the discharged polluted gas.
Further, the concentration coincidence calculation module is used for calculating the concentration of coincident polluted gas after the exhausted gas meets the gas in the gas diffusion direction, the control staggered time module is provided with a propagation time calculation module, and the propagation time calculation module is used for calculating the propagation time of the exhausted polluted gas in a chemical plant under the influence of the wind direction and wind speed propagation linear velocity.
In the technical scheme, the concentration superposition calculation module is used for accurately calculating the superposed concentration value caused by the superposition of the diffused gases under the influence of the wind direction, the control time staggering module comprises a propagation time calculation module, and the propagation time calculation module accurately calculates the propagation time of the diffused gases under the influence of the wind direction wind speed propagation linear velocity, so that the serious atmospheric pollution condition caused by the superposed polluted gas concentration can be monitored conveniently.
Further, a pollution source monitoring and analyzing method based on the internet of things comprises the following steps:
step W1: establishing a three-dimensional coordinate system xyz, wherein the three-dimensional coordinate system is based on the city center as an origin, the x axis as the right north of the city center ground plane, the y axis as the right east of the city center ground plane and the z axis as the right upper part of the city center;
step W2: extracting real-time wind direction data information to obtain wind direction data (x) m ,y m ,z m ) Introducing into xyz coordinate system, wherein m is the coordinate of the point with the strongest wind direction, and calculating the tangent value of the point with the strongest wind direction in the three-dimensional coordinate system xyz
Judging the wind direction trend theta;
step W3: the wind speed propagation angular velocity V in unit time is calculated by extracting real-time wind speed data information and importing the information into a three-dimensional coordinate system m = θ/t, wherein t is 24 hours;
step W4: calculating the wind direction and wind speed propagation linear velocity by analyzing the real-time wind direction data information and the real-time wind speed data information in the three-dimensional coordinate system
Step W5: and (3) evaluating whether pollution aggravation is caused by superposition of polluted gases discharged from the factory and the factory or not by utilizing the calculated wind direction and wind direction propagation speed V and combining with atmospheric pollution source concentration, evaluating a pollution index, and taking a time-staggered discharge intervention measure in time.
In the technical scheme, in the pollution source monitoring and analyzing method based on the internet of things, the three-dimensional coordinate system xyz is established, so that the wind direction coordinate can be conveniently established in the three-dimensional space, and the formula
Accurately calculating the wind direction deflection angle theta, formula V m = theta/t accurately calculates the wind speed propagation angular velocity per unit time, where t is 24 hours and represents the angular velocity at which the angle of the day does not change under ideal conditions, and the equation = based on £ r>
The wind direction and wind speed propagation linear velocity is accurately calculated, the wind direction and wind speed propagation linear velocity V is combined with the atmospheric pollution source concentration evaluation, and the problem of pollution aggravation caused by the superposition of polluted gas discharged from a control factory and a factory is solved.
Further, the step W5 further includes the steps of:
step W51: acquiring the central position information of each urban chemical plant by using a satellite positioning system, and converting the central position information (x) of the chemical plant n ,y n ) Importing the chemical substances into a three-dimensional coordinate system, wherein n represents the number k of chemical plants;
step W52: collecting the temperature H of the day and the concentration of the polluted gas discharged by each chemical plant through a collecting module, transmitting collected sample data of the concentration of the polluted gas to a sample box, recording the sample of the concentration of the polluted gas as a set A, and then A = { a = 1 ，a 2 ，……，a k In which a is 1 ，a 2 ，……，a k The concentration of the polluted gas in each chemical plant is sampled;
step W53: obtaining the concentration A and the temperature H of the current day of the chemical plant, and calculating the concentration diffusion residual concentration eta of the polluted gas discharged by the chemical plant only influenced by the distance and the concentration diffusion residual concentration gamma of the polluted gas discharged by the chemical plant influenced by the distance and the gas deflection angle;
step W54: acquiring the position of a chemical plant at a gas diffusion deflection angle and the concentration diffusion residual concentration eta of the polluted gas, and calculating the coincidence time T and the coincidence concentration N of the polluted gas emitted by the chemical plant in the same gas diffusion direction under the influence of the wind direction, wind speed and propagation linear velocity V;
step W55: the environmental pollution influence caused by the coincident concentration N is evaluated by referring to the pollution value standard, and a maximum pollution concentration standard reaching threshold N is set i When N is present<N i The discharge of the two chemical plants can be normal, when N is>N i The scheme of time-staggered discharge of two chemical plants is adopted.
In the technical scheme, the plane coordinate (x) is established in the pollution source monitoring and analyzing method based on the internet of things n ,y n ) The method is convenient for accurately positioning the position of a factory on a plane coordinate system, is convenient for accurately calculating the concentration diffusion residual concentration of the polluted gas discharged by the chemical factory by collecting the concentration value of the polluted gas of each chemical factory, is convenient for accurately calculating the coincidence time and the coincidence concentration of the polluted gas by acquiring the wind direction, wind speed and propagation linear velocity, and is based on the assumed ideal pollution concentration threshold valueThe method is convenient for judging whether the coincidence concentration exceeds the standard or not and whether time-staggered emission control measures are required or not, thereby achieving the purpose of monitoring and analyzing the pollution source.
Further, the step W51 further includes the steps of:
step W511: utilizing satellite positioning system to obtain central position information of each urban chemical plant and calculating linear distance between central positions of chemical plants
The step W53 further includes the steps of:
step W531: obtaining the concentration A and the temperature H of the day of the chemical plant, and calculating the concentration diffusion residual concentration eta = D (A/D) of the polluted gas discharged from the chemical plant only influenced by the distance n ) Wherein D is the gas diffusion fixation coefficient;
step W532: calculating a deflection angle sine value Δ θ, where Δ θ = θ ± θ j ，θ j The deflection angle range of the gas diffusion is 0-30 degrees;
step W533: obtaining the concentration A, the temperature H and the deflection angle sine value Delta theta of the polluted gas discharged from the chemical plant, and calculating the concentration diffusion residual concentration gamma = D (A/D) of the polluted gas discharged from the chemical plant, which is influenced by the distance and the deflection angle of the gas n )·H·|sinΔθ|；
In the technical scheme, the pollution source monitoring and analyzing method based on the Internet of things is based on the formula
The linear distance between a chemical plant and a chemical plant can be conveniently and accurately calculated by the formula delta theta = theta +/-theta j For accurate calculation of the deflection angle range, the formula η = D (A/D) n ) H and γ = D (A/D) n ) H.ThetaThetaThetaThetaThe H.ThetaThetaThetaThe concentration of the concentration diffusion residual concentration of the pollution gas discharged by the chemical plant under different conditions can be accurately calculated.
Further, the step W54 further includes the steps of:
step W541: acquiring the concentration A of the polluted gas discharged by a certain chemical plant and the concentration diffusion concentration of the polluted gas above the chemical plant in the same gas diffusion direction, and calculating the coincidence concentration N = A + eta/gamma;
step W542: the calculated N value and the maximum threshold value N of the pollution concentration reaching the standard are calculated i By comparison, when N is<N i The discharge of the two chemical plants can be normal, when N is>N i The scheme of staggered time discharge of two chemical plants is adopted;
step W543: when N is present>N i And then, adopting a scheme of staggered time emission of two chemical plants, obtaining a linear distance d between the central positions of the chemical plants in the same gas diffusion direction and an air direction wind speed propagation linear speed V, calculating propagation time T = d/V, and carrying out staggered emission according to the coincidence time T.
In the technical scheme, the pollution source monitoring and analyzing method based on the internet of things has the advantages that the formula T = d/V and the formula N = A + eta/gamma are convenient for accurately calculating the coincidence time and the coincidence concentration, and accurate prevention and control and accurate staggered time emission are carried out according to the calculated specific value.
Compared with the prior art, the invention has the following beneficial effects: the invention discloses a pollution source monitoring and analyzing system based on the Internet of things, which comprises a real-time wind direction data module, a real-time wind speed data module, a wind direction and wind speed data module and an atmospheric pollution source concentration evaluation module, wherein the atmospheric pollution source concentration evaluation module comprises a chemical plant positioning module, an acquisition module, a concentration calculation module and a staggered time control module, and is used for determining a wind direction angle, a wind direction angular speed and a wind direction and wind speed propagation limit speed, further calculating the linear distance between chemical plants and the concentration diffusion residual quantity of pollution gas discharged by the chemical plants, and solving the problem of pollution gas superposition caused by the influence of the wind direction and wind speed propagation linear speed.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a system structure diagram of a pollution source monitoring and analyzing system based on the Internet of things;
fig. 2 is a schematic flow diagram of a pollution source monitoring and analyzing method in the pollution source monitoring and analyzing system based on the internet of things;
FIG. 3 is a schematic flow chart of a concentration calculation method in the pollution source monitoring and analyzing system based on the Internet of things according to the invention;
detailed description of the preferred embodiments
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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1-3, the present invention provides a technical solution: the utility model provides a pollution sources monitoring analysis system based on thing networking, pollution sources monitoring analysis system includes real-time three-dimensional space module and atmosphere pollution sources concentration evaluation module, the three-dimensional space module is equipped with wind direction data module, real-time wind speed data module and wind direction wind speed data module, real-time wind direction data module is used for extracting real-time wind direction data information, real-time wind speed data module is used for extracting real-time wind speed data information, wind direction wind speed data module is used for synthesizing real-time wind direction data information and real-time wind speed data information, atmosphere pollution sources concentration evaluation module is used for assessing the pollution index.
The atmospheric pollution source concentration evaluation module is provided with a chemical plant positioning module, a collection module, a concentration calculation module and a control staggered time module, the chemical plant positioning module is connected with a three-dimensional space module and is used for acquiring the central position of a chemical plant, the collection module is provided with a temperature module and a polluted gas concentration module, the temperature module is used for collecting real-time temperature, the polluted gas concentration module is used for collecting the polluted gas concentration discharged from the chemical plant, the concentration calculation module is used for calculating the concentration index of the polluted gas, and the control staggered time module is used for preventing the concentration of the superposed polluted gas from being too high.
The chemical plant positioning module is provided with a linear distance calculation module, the linear distance calculation module is used for estimating the linear distance between chemical plants, the concentration calculation module is provided with a concentration diffusion calculation module and a concentration coincidence calculation module, and the concentration diffusion calculation module is used for calculating the diffusion surplus of the pollutant gas discharged from the chemical plant.
The concentration coincidence calculation module is used for calculating the coincidence polluted gas concentration after the exhaust gas meets on the same gas diffusion direction, the control time of staggering module is equipped with the travel time calculation module, the travel time calculation module is used for calculating the travel time of the polluted gas who discharges under the influence of wind direction wind speed propagation linear velocity between chemical plants.
The pollution source monitoring and analyzing method comprises the following steps:
step W1: establishing a three-dimensional coordinate system xyz, wherein the city center is taken as an origin, the x axis is the north of the city center ground plane, the y axis is the east of the city center ground plane, and the z axis is the right upper part of the city center;
step W2: extracting real-time wind direction data information to obtain wind direction data (x) m ,y m ,z m ) Introducing into an xyz coordinate system, wherein m is the coordinate of the point with the strongest wind direction, and calculating the tangent value of the point with the strongest wind direction in the three-dimensional coordinate system xyz
Judging the wind direction trend theta;
step W3: the real-time wind speed data information is extracted and led into a three-dimensional coordinate system, and the wind speed propagation angular speed V in unit time is calculated m = θ/t, wherein t is 24 hours;
step W4: calculating the wind direction and wind speed propagation linear velocity by analyzing the real-time wind direction data information and the real-time wind speed data information in the three-dimensional coordinate system
Step W5: and (3) evaluating whether pollution aggravation is caused by superposition of polluted gases discharged from the factory and the factory or not by utilizing the calculated wind direction and wind direction propagation speed V and combining with atmospheric pollution source concentration, evaluating a pollution index, and taking a time-staggered discharge intervention measure in time.
In this embodiment, assuming that the three-dimensional coordinate of the wind direction acquired on a certain day is (-20 v 2, 20 v 2,40), the angle of the wind direction, the wind speed propagation angular velocity, and the wind direction and wind speed propagation linear velocity at that time are calculated.
Obtaining:
according to tan theta =1, theta can be 45 degrees, and the day of scraping is southwest wind according to the x axis as negative; v m ＝45/24≈2km/h
The step W5 further includes the steps of:
step W51: acquiring the central position information of each urban chemical plant by using a satellite positioning system, and converting the central position information (x) of the chemical plant n ,y n ) Importing the chemical substances into a three-dimensional coordinate system, wherein n represents the number k of chemical plants;
step W52: through collection module, gather temperature H and the polluted gas concentration that each chemical plant discharged, convey the polluted gas concentration sample data who gathers to the sample case, the polluted gas concentration sample is marked as set A, then A = { a = 1 ，a 2 ，……，a k In which a is 1 ，a 2 ，……，a k The concentration of the polluted gas in each chemical plant is sampled;
step W53: obtaining the concentration A and the current day temperature H of the polluted gas discharged by the chemical plant, and calculating the concentration diffusion residual concentration eta of the polluted gas discharged by the chemical plant, which is only influenced by the distance, and the concentration diffusion residual concentration gamma of the polluted gas discharged by the chemical plant, which is influenced by the distance and the gas deflection angle;
step W54: acquiring the position of a chemical plant at a gas diffusion deflection angle and the concentration diffusion residual concentration eta of the polluted gas, and calculating the coincidence time T and the coincidence concentration N of the polluted gas emitted by the chemical plant in the same gas diffusion direction under the influence of the wind direction, wind speed and propagation linear velocity V;
step W55: the environmental pollution influence caused by the coincident concentration N is evaluated by referring to the pollution value standard, and a maximum pollution concentration standard reaching threshold N is set i When N is present<N i The discharge of two chemical plants can be normal, when N>N i The scheme of staggered time discharge of two chemical plants is adopted.
The step W51 further includes the steps of:
step W511: utilizing satellite positioning system to obtain central position information of every urban chemical plant and calculating linear distance between central positions of chemical plants
The step W53 further includes the steps of:
step W531: obtaining the concentration A and the temperature H of the current day of the chemical plant, and calculating the concentration diffusion residual concentration eta = D (A/D) of the polluted gas discharged by the chemical plant only influenced by the distance n ) H, wherein D is the gas diffusion fixation coefficient;
step W532: calculating a deflection angle sine value Δ θ, where Δ θ = θ ± θ j ，θ j The deflection angle range of the gas diffusion is 0-30 degrees;
step W533: obtaining the concentration A of the polluted gas discharged by the chemical plant, the temperature H of the day and the sine value Delta theta of the deflection angle, and calculating the concentration diffusion residual concentration gamma = D (A/D) of the polluted gas discharged by the chemical plant, which is influenced by the distance and the deflection angle of the gas n )·H·|sinΔθ|。
In this example, it is known that the wind is just north wind when the wind is blown on a certain day, the temperature range of the day is 10 to 20 degrees, the coordinate of a chemical plant 1 is (0,40), a chemical plant 2 (-30, 40+30 √ 3) is arranged at a gas diffusion left deflection angle of 30 °, a chemical plant 3 (20,40 + (2 + √ 3) 20) is arranged at a gas diffusion right deflection angle of 15 °, a chemical plant 4 (0,80) is arranged in the gas diffusion right direction, and three chemical plants are collected at the same timeThe concentration value of the polluted gas discharged from the chemical plant is a 1 =45mg/km, assuming a gas diffusion fixed coefficient D =1 and a contamination concentration threshold N i And (5) calculating the concentration diffusion residual concentration of the polluted gas discharged from the chemical plant 1 by using the value of =60 mg/km.
Obtaining:
deflection angle sine value delta theta of chemical plant 2 and chemical plant 3
sinΔθ 2 ＝sin(90°+30°)≈0.58
sinΔθ 3 ＝sin(90°-15°)≈0.97
The gas diffusion fixed coefficient D =1 and the temperature 10-20 degrees celsius are considered at this time;
when the temperature is at the lowest 10 degrees celsius:
γ 12 ＝1*(45/60)*10*0.58≈4.4mg/km
γ 13 ＝1*(45/77)*10*0.97≈5.7mg/km
γ 14 ＝1*(45/60)*10≈11.3mg/km
when the temperature is at the lowest 10 degrees celsius:
γ 12 ＝1*(45/60)*20*0.58≈8.8mg/km
γ 13 ＝1*(45/77)*20*0.97≈11.4mg/km
γ 14 ＝1*(45/40)*20≈22.6mg/km
because of gamma 12 <γ 13 <η 14 It is understood that the smaller the angular deflection, the larger the concentration diffusion residual
The step W54 further includes the steps of:
step W541: acquiring the concentration A of the polluted gas discharged by a certain chemical plant and the concentration diffusion concentration of the polluted gas above the chemical plant in the same gas diffusion direction, and calculating the coincidence concentration N = A + eta/gamma;
step W542: the calculated N value and the maximum threshold N for the pollution concentration reaching the standard are calculated i By comparison, when N is<N i The discharge of the two chemical plants can be normal, when N is>N i The scheme of staggered time discharge of two chemical plants is adopted;
step W543: when N is present>N i And then, adopting a scheme of staggered time emission of two chemical plants, obtaining a linear distance d between the central positions of the chemical plants in the same gas diffusion direction and an air direction wind speed propagation linear speed V, calculating propagation time T = d/V, and carrying out staggered emission according to the coincidence time T.
In this embodiment, it is known that the wind speed propagation linear velocity of the wind direction is 80 √ 2km/h when the temperature range of the day is 10-20 degrees, the coordinate of a chemical plant 1 is (-40,40), two chemical plants are arranged on the northwest wind, the chemical plant 2 and the chemical plant 3 are respectively arranged, the coordinate is not (-80, 80) and (-105, 105), and the concentration value of the polluted gas discharged from the three chemical plants is a 1 ＝45mg/km,a 2 ＝40mg/km,a 3 =50mg/km, assuming a gas diffusion fixed coefficient D =1 and a contamination concentration threshold N i And (5) calculating the distance between chemical plants and the concentration diffusion residual concentration of the polluted gas discharged by the chemical plants, and calculating the coincidence time and the coincidence concentration if the polluted gas coincidence phenomenon occurs.
Obtaining:
the gas diffusion fixed coefficient D =1 and the temperature 10-20 degrees celsius are considered at this time;
when the temperature is at the lowest 10 degrees celsius:
η 12 ＝1*(45/57)*10≈7mg/km
η 13 ＝1*(45/92)*10≈5mg/km
η 14 ＝1*(40/35)*10≈11mg/km
N 2+1 ＝a 2 +η 12 ＝47mg/km
N 3+1 ＝a 3 +η 13 ＝55mg/km
N 3+2 ＝a 3 +η 23 ＝61mg/km
N 3+2+1 ＝a 3 +η 13 +η 23 ＝66mg/km
because of N 2+1 <N 3+1 <N i The exhaust can be directly performed when the polluted gas exhausted from the chemical plants 1 and 2 is combined with the polluted gas exhausted from the chemical plants 1 and 3 because N is 3+2+1 >N 3+2 >N i The time lag between the discharge of the contaminated gas at the discharge timing of the three chemical plants and the discharge timing of the contaminated gas at the discharge timing of the chemical plants 2 and 3 is performed.
When the temperature is at the maximum 20 degrees celsius:
η 12 ＝1*(45/57)*20≈14mg/km
η 13 ＝1*(45/85)*20≈10mg/km
η 23 ＝1*(40/28)*20≈22mg/km
N 2+1 ＝a 2 +η 12 ＝54mg/km
N 3+1 ＝a 3 +η 13 ＝60mg/km
N 3+2 ＝a 3 +η 23 ＝72mg/km
N 3+2+1 ＝a 3 +η 13 +η 23 ＝82mg/km
because of N 2+1 <N 3+1 ≤N i In a chemical plant 1When the contaminated gas discharged from the chemical plant 2 is mixed with the contaminated gas discharged from the chemical plant 1 and the chemical plant 3, the contaminated gas can be directly discharged because N is contained in the contaminated gas 3+2+1 >N 3+2 >N i The time lag between the discharge of the contaminated gas at the discharge timing of the three chemical plants and the discharge timing of the contaminated gas at the discharge timing of the chemical plants 2 and 3 is performed.
After the chemical plant 1 and the chemical plant 2 are simultaneously discharged for half an hour at the temperature of 10-20 ℃, the chemical plant 2 stops discharging, the chemical plant 1 and the chemical plant 3 are simultaneously discharged for 15 minutes, the chemical plant 3 stops discharging, and the discharging is repeated in sequence, so that the air pollution is prevented from being aggravated.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides a pollution sources monitoring analysis system based on thing networking which characterized in that: the pollution source monitoring and analyzing system comprises a real-time three-dimensional space module and an atmospheric pollution source concentration evaluation module, wherein the three-dimensional space module is provided with a wind direction data module, a real-time wind speed data module and a wind direction and wind speed data module, the real-time wind direction data module is used for extracting real-time wind direction data information, the real-time wind speed data module is used for extracting real-time wind speed data information, the wind direction and wind speed data module is used for integrating the real-time wind direction data information and the real-time wind speed data information, and the atmospheric pollution source concentration evaluation module is used for evaluating a pollution index.
2. The pollution source monitoring and analyzing system based on the Internet of things as claimed in claim 1, wherein: the atmospheric pollution source concentration evaluation module is provided with a chemical plant positioning module, a collection module, a concentration calculation module and a control staggered time module, the chemical plant positioning module is connected with a three-dimensional space module and is used for acquiring the central position of a chemical plant, the collection module is provided with a temperature module and a polluted gas concentration module, the temperature module is used for collecting real-time temperature, the polluted gas concentration module is used for collecting the polluted gas concentration discharged from the chemical plant, the concentration calculation module is used for calculating the concentration index of the polluted gas, and the control staggered time module is used for preventing the concentration of the superposed polluted gas from being too high.
3. The pollution source monitoring and analyzing system based on the internet of things as claimed in claim 2, wherein: the chemical plant positioning module is provided with a linear distance calculation module, the linear distance calculation module is used for estimating the linear distance between chemical plants, the concentration calculation module is provided with a concentration diffusion calculation module and a concentration coincidence calculation module, and the concentration diffusion calculation module is used for calculating the diffusion surplus of the pollutant gas discharged from the chemical plant.
4. The pollution source monitoring and analyzing system based on the Internet of things as claimed in claim 3, wherein: the concentration coincidence calculation module is used for calculating the concentration of coincident polluted gas after the exhausted gas meets the concentration of the coincident polluted gas in the gas diffusion direction, the control staggered time module is provided with a propagation time calculation module, and the propagation time calculation module is used for calculating the propagation time of the exhausted polluted gas between chemical plants under the influence of the wind direction and wind speed propagation linear velocity.
5. A pollution source monitoring and analyzing method based on the Internet of things is characterized by comprising the following steps: the pollution source monitoring and analyzing method comprises the following steps:
step W1: establishing a three-dimensional coordinate system xyz, wherein the three-dimensional coordinate system is based on the city center as an origin, the x axis as the right north of the city center ground plane, the y axis as the right east of the city center ground plane and the z axis as the right upper part of the city center;
step W2: extracting real-time wind direction data information to obtain wind direction data (x) m ,y m ,z m ) Introducing into an xyz coordinate system, wherein m is the coordinate of the point with the strongest wind direction, and calculating the tangent value of the point with the strongest wind direction in the three-dimensional coordinate system xyz
Judging the wind direction theta;
step W3: the wind speed propagation angular velocity V in unit time is calculated by extracting real-time wind speed data information and importing the information into a three-dimensional coordinate system m = θ/t, wherein t is 24 hours;
step W4: calculating the wind direction and wind speed propagation linear velocity by analyzing the real-time wind direction data information and the real-time wind speed data information in the three-dimensional coordinate system
Step W5: and (3) evaluating whether pollution aggravation is caused by superposition of polluted gases discharged from the factory and the factory or not by utilizing the calculated wind direction and wind direction propagation speed V and combining with atmospheric pollution source concentration, evaluating a pollution index, and taking a time-staggered discharge intervention measure in time.
6. The pollution source monitoring and analyzing method based on the Internet of things as claimed in claim 5, wherein: the step W5 further includes the steps of:
step W51: acquiring the central position information of each urban chemical plant by using a satellite positioning system, and acquiring the central position information (x) of the chemical plant n ,y n ) Importing the three-dimensional coordinate system into a three-dimensional coordinate system, wherein n represents k chemical plants in number;
step W52: collecting the temperature H of the day and the concentration of the polluted gas discharged by each chemical plant through a collecting module, transmitting collected sample data of the concentration of the polluted gas to a sample box, recording the sample of the concentration of the polluted gas as a set A, and then A = { a = 1 ，a 2 ，……，a k In which a is 1 ，a 2 ，……，a k The concentration of the polluted gas in each chemical plant is sampled;
step W53: obtaining the concentration A and the temperature H of the current day of the chemical plant, and calculating the concentration diffusion residual concentration eta of the polluted gas discharged by the chemical plant only influenced by the distance and the concentration diffusion residual concentration gamma of the polluted gas discharged by the chemical plant influenced by the distance and the gas deflection angle;
step W54: acquiring the position of a chemical plant at a gas diffusion deflection angle and the concentration diffusion residual concentration eta of the polluted gas, and calculating the coincidence time T and the coincidence concentration N of the polluted gas emitted by the chemical plant in the same gas diffusion direction under the influence of the wind direction, wind speed and propagation linear velocity V;
step W55: the environmental pollution influence caused by the coincident concentration N is evaluated by referring to the pollution value standard, and a maximum pollution concentration standard reaching threshold N is set i When N is present<N i The discharge of the two chemical plants can be normal, when N is>N i The scheme of time-staggered discharge of two chemical plants is adopted.
7. The pollution source monitoring and analyzing method based on the Internet of things as claimed in claim 6, wherein: the step W51 further includes the steps of:
step W511: utilizing satellite positioning system to obtain central position information of every urban chemical plant and calculating linear distance between central positions of chemical plants
The step W53 further includes the steps of:
step W531: obtaining the concentration A and the temperature H of the current day of the chemical plant, and calculating the concentration diffusion residual concentration eta = D (A/D) of the polluted gas discharged by the chemical plant only influenced by the distance n ) H, wherein D is the gas diffusion fixation coefficient;
step W532: calculating a deflection angle sine value Δ θ, wherein Δ θ = θ ± θ j ，θ j The deflection angle range of the gas diffusion is 0-30 degrees;
step W533: obtaining the concentration A of the polluted gas discharged by the chemical plant, the temperature H of the day and the sine value Delta theta of the deflection angle, and calculating the concentration diffusion residual concentration gamma = D (A/D) of the polluted gas discharged by the chemical plant, which is influenced by the distance and the deflection angle of the gas n )·H·|sinΔθ|。
8. The pollution source monitoring and analyzing method based on the Internet of things as claimed in claim 6, wherein the pollution source monitoring and analyzing method comprises the following steps: the step W54 further includes the steps of:
step W541: acquiring the concentration A of the polluted gas discharged by a certain chemical plant and the concentration diffusion concentration of the polluted gas above the chemical plant in the same gas diffusion direction, and calculating the coincidence concentration N = A + eta/gamma;
step W542: the calculated N value and the maximum threshold N for the pollution concentration reaching the standard are calculated i By contrast, when N is<N i The discharge of the two chemical plants can be normal, when N is>N i The scheme of staggered time discharge of two chemical plants is adopted;
step W543: when N is present>N i And then, adopting a scheme of staggered time emission of two chemical plants, obtaining a linear distance d between the central positions of the chemical plants in the same gas diffusion direction and an air direction wind speed propagation linear speed V, calculating propagation time T = d/V, and carrying out staggered emission according to the coincidence time T.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116804666A (en) * | 2023-06-29 | 2023-09-26 | 杭州高鹏自动化系统有限公司 | Flue gas analysis method based on multi-channel acquisition system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004108857A (en) * | 2002-09-17 | 2004-04-08 | Horiba Ltd | Atmospheric pollution monitoring system |
| US20090265037A1 (en) * | 2006-02-21 | 2009-10-22 | Nir Bassa | System and Method for Assessing and Reducing Air Pollution by Regulating Airflow Ventilation |
| RU2397514C1 (en) * | 2009-06-02 | 2010-08-20 | Федеральное государственное учреждение науки "Государственный научный центр вирусологии и биотехнологии "Вектор" Федеральной службы по надзору в сфере защиты прав потребителей и благополучия человека (ФГУН ГНЦ ВБ "Вектор" Роспотребнадзора) | Method of constructing network of posts for monitoring air pollution and determining characteristics of pollution sources |
| JP2013088206A (en) * | 2011-10-14 | 2013-05-13 | Mitsubishi Heavy Ind Ltd | Diffusion situation prediction system |
| KR101892999B1 (en) * | 2017-11-28 | 2018-10-04 | (주) 글로벌텔레콤 | Method for generating weather data using cctv having ultrafine particle sensing funtion |
| CN109781945A (en) * | 2019-02-14 | 2019-05-21 | 北京市环境保护监测中心 | A kind of interregional transmission investigation method and system of the pollutant based on mobile device |
| CN111461405A (en) * | 2020-03-09 | 2020-07-28 | 平安国际智慧城市科技股份有限公司 | Pollutant diffusion prediction method, device, equipment and storage medium |
| CN113295589A (en) * | 2021-07-28 | 2021-08-24 | 西安多普多信息科技有限公司 | Raise dust monitoring method, device and system |
-
2022
- 2022-11-29 CN CN202211506320.5A patent/CN115901550B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004108857A (en) * | 2002-09-17 | 2004-04-08 | Horiba Ltd | Atmospheric pollution monitoring system |
| US20090265037A1 (en) * | 2006-02-21 | 2009-10-22 | Nir Bassa | System and Method for Assessing and Reducing Air Pollution by Regulating Airflow Ventilation |
| RU2397514C1 (en) * | 2009-06-02 | 2010-08-20 | Федеральное государственное учреждение науки "Государственный научный центр вирусологии и биотехнологии "Вектор" Федеральной службы по надзору в сфере защиты прав потребителей и благополучия человека (ФГУН ГНЦ ВБ "Вектор" Роспотребнадзора) | Method of constructing network of posts for monitoring air pollution and determining characteristics of pollution sources |
| JP2013088206A (en) * | 2011-10-14 | 2013-05-13 | Mitsubishi Heavy Ind Ltd | Diffusion situation prediction system |
| KR101892999B1 (en) * | 2017-11-28 | 2018-10-04 | (주) 글로벌텔레콤 | Method for generating weather data using cctv having ultrafine particle sensing funtion |
| CN109781945A (en) * | 2019-02-14 | 2019-05-21 | 北京市环境保护监测中心 | A kind of interregional transmission investigation method and system of the pollutant based on mobile device |
| CN111461405A (en) * | 2020-03-09 | 2020-07-28 | 平安国际智慧城市科技股份有限公司 | Pollutant diffusion prediction method, device, equipment and storage medium |
| CN113295589A (en) * | 2021-07-28 | 2021-08-24 | 西安多普多信息科技有限公司 | Raise dust monitoring method, device and system |
Non-Patent Citations (3)
| Title |
|---|
| YASUO IDE等: "DEVELOPMENT OF OVERLAPPING MODELING FOR ATMOSPHERIC DIFFUSION", ATMOSPHERIC ENVIRONMENT, vol. 28, no. 11, pages 1925 - 1932 * |
| 潘婷;杨鹏辉;张依一;周文俊;: "京津冀地区空气污染的分析与评价", 河北北方学院学报(自然科学版), no. 07, pages 31 - 37 * |
| 陈镭等: "上 海地 区 ２ ０ １ ７ 年三 次短 时重 度污 染 过程 变 化 特 征及 其气 象影 响 因 素", 气象, vol. 46, no. 5, pages 675 - 686 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116804666A (en) * | 2023-06-29 | 2023-09-26 | 杭州高鹏自动化系统有限公司 | Flue gas analysis method based on multi-channel acquisition system |
| CN116804666B (en) * | 2023-06-29 | 2024-01-12 | 杭州高鹏自动化系统有限公司 | Flue gas analysis method based on multi-channel acquisition system |
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