CN106351166A - Intelligent water spray and dust removal method for urban road - Google Patents

Abstract

The method for intelligent water spraying and dust removal on urban roads provided by the present invention includes a. installing sprinklers on street lamp poles, b. calculating the effective area and optimal water outlet speed of sprinkler groups on each street lamp pole, c. setting Start the threshold and detect the air quality of the surrounding environment, and automatically control the sprinkler to work according to the detection result of the air quality of the environment; the intelligent water spray and dust removal method for urban roads in the present invention, by installing the sprinkler on the street light pole, and controlling It rotates and sprays water in a specific way, which can be used to remove dust, purify the air, irrigate green belts, emergency fire rescue, and can also be used as a means of cooling when the temperature is high in summer. The invention can effectively improve the sprinkling efficiency and save water resources.

Description

Intelligent Water Spray Dust Removal Method for Urban Roads

technical field

The invention relates to the field of urban traffic management, in particular to an intelligent water spraying and dust removal method for urban roads.

Background technique

With the continuous improvement of my country's economic level, the pace of urbanization is accelerating year by year, and there are more and more urban roads. However, urban roads, especially in areas with arid and little rain, cause dust on the ground due to the passing of vehicles. Driven by wind and other drives, it flies into the atmosphere and causes open pollution. It is an important part of the total suspended particulate matter in the ambient air and seriously affects the health and travel of residents and road users.

At present, the general method for reducing dust is to sprinkle water with a sprinkler. However, there are many disadvantages in the traditional sprinkler, such as the slow running speed of the sprinkler, which is greatly different from the speed of urban road traffic, conflicts with the principles of urban traffic flow operation and control, seriously hinders traffic, has potential safety hazards, and reduces road traffic capacity. . Another example is the high pressure and spray speed of the sprinkler water gun, which also brings inconvenience and potential safety hazards to pedestrians. Moreover, the method of using sprinklers has poor flexibility, time-consuming scheduling and work, not only wasting water resources, but also wasting fuel and other energy sources, causing varying degrees of waste of human resources and material resources, and the effect is poor. According to the needs, control anytime and anywhere is increasingly unable to adapt to the fast pace of people's modern life. Therefore, a new urban road dust control method is urgently needed, which can save manpower and material resources, and can carry out intelligent control. Governance effect.

Contents of the invention

In view of this, the present invention provides a method for intelligent water spraying and dust removal on urban roads to overcome the above-mentioned technical problems.

The urban road intelligent water spray dust removal method provided by the invention comprises

a. Install sprinkler heads on street light poles,

b. Calculate the effective area and optimal water outlet speed of the sprinkler head group on each street light pole,

c. Set the starting threshold and detect the air quality of the surrounding environment, and automatically control the sprinkler head to work according to the detection result of the ambient air quality.

Further, the activation threshold in step c includes a single threshold and a comprehensive threshold, the single threshold is set according to the concentration of each single pollutant in the air, and the single threshold is multiple, when the concentration of any pollutant exceeds the preset When the value of the order threshold is reached, the sprinkler is automatically controlled to work.

Further, the comprehensive threshold includes assigning hazard weights to each pollutant in the air and calculating the degree of pollution to classify the air quality. When the air quality is lower than a certain level, the sprinkler device is automatically turned on.

Further, the method for determining the comprehensive threshold specifically includes:

Judging the category of the pollution degree of the pollutant according to the confidence criterion:

Among them, the value of λ is 0.7, and k is the pollution degree of the pollutant belonging to the C _k category, is the attribute measure after averaging.

Further, the optimal water outlet speed in step b is obtained by the following formula:

${\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; =</span>\sqrt{\frac{{\mathrm{<span\; class="notranslate">\; GR</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; R</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; h</span>}}}$

Among them, V ₀ is the optimal water outlet velocity, H is the nozzle arrangement height, h is the height of the green belt, and R is the maximum radius of action.

Further, the amount of sprinkling is obtained by the following formula:

Q ₀ =Q/[1-n%)

Among them, n% is the percentage of sprinkler water loss, where Q0 is the actual total amount of watering, Q is the total amount of ideal watering, and ΔC _i0 is the difference between the detection of the concentration of various pollutants in the surrounding environment and its corresponding single threshold value, S is the effective area of sprinkler heads for each street light pole, H is the height of the sprinkler head layout, and K _i is the unit concentration The mass of water absorbed by the pollutant.

Further, by controlling the rotation mode of the sprinkler head group on each street lamp pole, the sprinkling area is rectangular. The rotation mode is to control the sprinkler head group to rotate vertically while rotating at a constant speed in the horizontal direction.

Beneficial effects of the present invention: the intelligent water spraying and dust removal method for urban roads in the present invention can not only be used for dust removal and air purification, but also by installing sprinkler heads on street lamp poles and controlling them to rotate and spray water in a specific way. Moreover, it can also irrigate green belts, provide emergency fire rescue, and can also be used as a means of cooling when the temperature is high in summer. The invention can effectively improve the sprinkling efficiency and save water resources. Especially for arid areas, the rational and efficient use of water resources is very important. Compared with the traditional sprinkler dust removal method, the present invention realizes real intelligence, and realizes intelligent control of automatic watering on the road at any position and any time covered by the pipe network without affecting the road traffic capacity, which is not only suitable for Urban road planning can also be implemented in existing roads.

Description of drawings

The present invention will be further described below in conjunction with accompanying drawing and embodiment:

Fig. 1 is a schematic diagram of the principle of the present invention.

Fig. 2 is a schematic flow chart of the present invention.

detailed description

The present invention will be further described below in conjunction with accompanying drawing and embodiment: Fig. 1 is the schematic diagram of principle of the present invention. Fig. 2 is a schematic flow chart of the present invention.

As shown in Figures 1 and 2, the urban road intelligent water spray dust removal method includes

a. Install sprinkler heads on street light poles,

b. Calculate the effective area and optimal water outlet speed of the sprinkler head group on each street light pole,

c. Set the starting threshold and detect the air quality of the surrounding environment, and automatically control the sprinkler head to work according to the detection result of the ambient air quality.

In this embodiment, water spraying devices and detection devices can be installed on the basis of existing urban road construction, and planning and construction can also be carried out uniformly when new road facilities are newly built, so as to realize the parallel laying of water supply pipe networks on urban road lighting lines. The sprinkler system is combined with lighting street lights.

In this embodiment, the starting threshold in step c includes a single threshold and a comprehensive threshold, the single threshold is set according to the concentration of each single pollutant in the air, and the single threshold is multiple, when any pollutant When the concentration exceeds the pre-set single threshold value, the sprinkler head is automatically controlled to work. Urban air pollutants mainly include SO ₂ , NO ₂ , PM ₁₀ , PM _2.5 , etc. Flying dust is a hydrophilic substance. Suspended particles can combine with water to form heavier particles and scatter on the ground to achieve the purpose of dust removal. Therefore, water can be used to reduce urban pollution. concentration of the substance. The concentration value of each pollutant monitored is recorded as C _i , and the concentration C _i0 of each single pollutant is set. When C _i is greater than C _i0 , it will have a greater impact on human health and needs to be controlled. By setting the concentration of each pollutant C _i0 is set as a single threshold. When this threshold is reached, the sprinkler device is automatically turned on to sprinkle water to achieve the purpose of dust removal.

In this embodiment, the comprehensive threshold value is to use the expert method to assign the hazard weight value of each pollutant. On this basis, the urban pollution degree is calculated based on attribute mathematics, and the urban air quality is divided into k levels. When the air quality is lower than n When the level is reached, the sprinkler device is automatically turned on. Using multiple indicators to evaluate the comprehensive threshold value of urban pollutant pollution: Let X be the object space, and the evaluation object x represents the air quality where a specific detection device is located, and F is the attribute space of the research object. In this embodiment, it refers to the hazard impact degree.

Assume that each element x in the object space X has m indicators, denoted as I ₁ I ₂ ,...,I _m , and the measured value of the jth index I _j of the i-th element x _i is denoted as x _ij , then X _i can be expressed as a vector x _i =(x _i1 , x _i2,..., x _im ).

Assume that a strong order partition of the attribute measurement space F is {C ₁ ,C ₂ ,...,C _k }, and the classification standard of each index is known, then it can be expressed in matrix form as:

Among them, a _i1 <a _i2 <a _i3 <...<a _i5 , b _i1 <b _i2 <b _i3 ...<b _i5 .

Calculate the attribute measurement interval of the measured value X _i of a specific index i with attribute C _k (k=1,2,3,4,5), that is

$<span\; class="notranslate">\; \&lsqb;</span>{\mathrm{<span\; class="notranslate">\; u</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; \&rsqb;</span><span\; class="notranslate">\; =</span><span\; class="notranslate">\; \&lsqb;</span>\underset{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; u</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}\mathrm{<span\; class="notranslate">\; k</span>}}}<span\; class="notranslate">\; ,</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; u</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}\mathrm{<span\; class="notranslate">\; k</span>}}}<span\; class="notranslate">\; \&rsqb;</span>$

When x _i <a _i1 , take

When x _i ≤ b _i1 , take

When x _i ≥ a _i5 , take

When x _i ≥ b _i5 , take

When a _il ≤ x _i ≤ a _i(l+1) , take

(k<l or k>l+1)

When b _il ≤ x _i ≤ b _i(l+1) , take

(k<l or k>l+1)

In this embodiment, the weights of each index can be obtained by the expert method, and the weight of the index I _i is recorded as W _i , after obtaining the attribute measurement interval of each index I _i , since the weight W _i of each index is known, That is to calculate the attribute measurement interval of each pollutant with attribute C _k (k=1, 2, 3, 4, 5):

$<span\; class="notranslate">\; \&lsqb;</span>{\mathrm{<span\; class="notranslate">\; u</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}<span\; class="notranslate">\; \&rsqb;</span><span\; class="notranslate">\; =</span><span\; class="notranslate">\; \&lsqb;</span>\underset{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; u</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}}<span\; class="notranslate">\; ,</span>\stackrel{<span\; class="notranslate">\; \&OverBar;</span>}{{\mathrm{<span\; class="notranslate">\; u</span>}}_{\mathrm{<span\; class="notranslate">\; k</span>}}}<span\; class="notranslate">\; \&rsqb;</span>$

in:

Then the attribute measurement interval is averaged, so that

Then the category of the pollution degree of the pollutant can be judged according to the confidence criterion:

In the formula, according to the modeling experience, the value of λ is 0.7, and the k value calculated according to the above steps means that the pollution degree of the pollutant belongs to the C _k category, is the attribute measure after averaging.

It is preset to turn on the water spray device when the air quality is lower than class K.

In this embodiment, due to the urban road lighting street lights are arranged in symmetrical, staggered, and two-sided styles in the middle. In order to ensure the full coverage of road sprinkling, the effective area of sprinkler heads for each street light pole is calculated. Assuming that the width of the urban road is D, the interval of street lamps arranged symmetrically is S ₁ , the interval of street lamps arranged in a staggered manner is S ₂ , and the effective area of sprinkler heads of each street lamp pole is the same as S:

S＝S ₁ ·D/2

R ₀ is the same when the street lights are arranged in a symmetrical and staggered way, and the formula is:

${\mathrm{<span\; class="notranslate">\; R</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}\sqrt{{\mathrm{<span\; class="notranslate">\; S</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; D.</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}$

Assuming that the height of the sprinkler arrangement is H, the height of the green belt is h, the angle between the center line of the effective vertical range of the water flow and the horizontal line is α, the water outlet velocity V ₀ and the maximum radius of action R ₀ , the time for the water flow to spray from the nozzle is t

The farthest point of the sprayed water falls on the highest point of the plants in the green belt, which can not only meet the functions of dust removal and pollutant removal, but also water the green belt. In order to meet this requirement, the relationship between the parameters is as follows: (assuming that water sprays out in the air without resistance)

$\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\mathrm{<span\; class="notranslate">\; sin</span>}\mathrm{<span\; class="notranslate">\; \&alpha;</span>}<span\; class="notranslate">\; \&Center\; Dot;</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; -</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}\mathrm{<span\; class="notranslate">\; g</span>}<span\; class="notranslate">\; \&CenterDot;</span>{\mathrm{<span\; class="notranslate">\; t</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}$

${\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; R</span>}}{\mathrm{<span\; class="notranslate">\; t</span>}\mathrm{<span\; class="notranslate">\; c</span>}\mathrm{<span\; class="notranslate">\; o</span>}\mathrm{<span\; class="notranslate">\; the\; s</span>}\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}$

Among them, H ₀ is the height of street lamps, H′ is the height limit of urban roads, and the position of traffic participants in urban road vehicles is below H″. As the height of sprinklers is increased, the water supply pressure also needs to be increased. From the perspective of energy, consider the sprinkler The higher the setting, the less economical it is, so set the height of the nozzle at H, ie II"<II<II')

The spraying accuracy of the nozzle in this embodiment is not required very high. When the α angle is 45 degrees, the head is the largest. Since the H, R and α angles are known in practical problems, V ₀ can be jointly calculated.

${\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; =</span>\sqrt{\frac{{\mathrm{<span\; class="notranslate">\; GR</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}}{\mathrm{<span\; class="notranslate">\; R</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; h</span>}}}$

In this embodiment, when the concentration of each pollutant and flying dust is C _i , the difference between them exceeding the respective threshold C _i0 is ΔC _i0 , assuming that within a unit volume, the mass of water absorbed by a unit concentration of pollutants is Ki, then The ideal watering amount is:

Q＝ΣS·HΔC _i0 ·K _i

The water loss of the nozzle is determined to be n% by the test. Then the actual watering amount is

Q ₀ =Q/[1-n%).

In this embodiment, the sprinkling area is rectangular by controlling the rotation mode of the sprinkler head group on each street light pole. The rotation mode is to control the sprinkler head group to rotate vertically while rotating at a uniform speed . Since the sprinkling area is square, the sprinkling overlap can be reduced, and the amount of sprinkling can be saved compared with arc sprinkling. In this embodiment, the effective vertical sprinkling angle of the sprinkler head is θ, and only a part of it can be covered during each left and right swing. Assuming that it needs to be divided into n areas to fully cover the entire effective area, calculate the speed of the nozzle when it rotates left and right, up and down, and the alternate time when changing lines should be considered. If the full coverage needs to be divided into n areas, then at the water outlet speed V ₀ , the water output per unit time of the sprinkler is Q. In order to ensure uniform watering, the watering cycle is set to be m rounds. When the actual total watering is Q ₀ , The amount of water sprayed in each round is Q ₀ /m.

Then in each round of watering, in each area, the amount of watering is:

Q'=Q ₀ /(m·n)

The watering time of each area is equal, which is:

$\mathrm{<span\; class="notranslate">\; T</span>}<span\; class="notranslate">\; =</span>\frac{{\mathrm{<span\; class="notranslate">\; Q</span>}}^{<span\; class="notranslate">\; \&prime;</span>}}{\mathrm{<span\; class="notranslate">\; Q</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; Q</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; /</span><span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; m</span>}<span\; class="notranslate">\; \&CenterDot;</span>\mathrm{<span\; class="notranslate">\; no</span>}<span\; class="notranslate">\; \&CenterDot;</span>\mathrm{<span\; class="notranslate">\; Q</span>}<span\; class="notranslate">\; )</span>$

Then the left and right rotation speed of the sprinkler head when sprinkling in area i is calculated as follows:

${\mathrm{<span\; class="notranslate">\; \&beta;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; arctan</span>}\frac{\mathrm{<span\; class="notranslate">\; the\; s</span>}<span\; class="notranslate">\; \&CenterDot;</span>\mathrm{<span\; class="notranslate">\; no</span>}}{\mathrm{<span\; class="notranslate">\; D.</span>}<span\; class="notranslate">\; \&CenterDot;</span>\mathrm{<span\; class="notranslate">\; i</span>}}$

ω _i =β _i /T

Among them, β _i is the left and right rotation angle of the nozzle when the nozzle sprinkles water in area i, T is the rotation time, w _i is the left and right rotation speed, and s is the distance between the street lamp poles, that is, S ₁ or S ₂ .

In the present embodiment, by oblique throwing equation of object:

$\mathrm{<span\; class="notranslate">\; I</span>}\mathrm{<span\; class="notranslate">\; I</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\mathrm{<span\; class="notranslate">\; the\; s</span>}\mathrm{<span\; class="notranslate">\; i</span>}\mathrm{<span\; class="notranslate">\; no</span>}\mathrm{<span\; class="notranslate">\; \&alpha;</span>}<span\; class="notranslate">\; \&CenterDot;</span>\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; -</span>\frac{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}\mathrm{<span\; class="notranslate">\; g</span>}<span\; class="notranslate">\; \&Center\; Dot;</span>{\mathrm{<span\; class="notranslate">\; t</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}$

R＝V ₀ cosα·l

Solutions have to

$\mathrm{<span\; class="notranslate">\; t</span>}<span\; class="notranslate">\; -</span>\frac{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\mathrm{<span\; class="notranslate">\; sin</span>}\mathrm{<span\; class="notranslate">\; \&alpha;</span>}<span\; class="notranslate">\; +</span>\sqrt{{<span\; class="notranslate">\; (</span>{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}\mathrm{<span\; class="notranslate">\; the\; s</span>}\mathrm{<span\; class="notranslate">\; i</span>}\mathrm{<span\; class="notranslate">\; no</span>}\mathrm{<span\; class="notranslate">\; \&alpha;</span>}<span\; class="notranslate">\; )</span>}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; g</span>}\mathrm{<span\; class="notranslate">\; h</span>}}}{\mathrm{<span\; class="notranslate">\; g</span>}}$

available

At the same time, as the nozzle rotates at a constant speed left and right, the head of the water spray is also changing. The calculation method of the head change equation is as follows:

$\mathrm{<span\; class="notranslate">\; R</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; T</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; *</span>\frac{\mathrm{<span\; class="notranslate">\; D.</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}\sqrt{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; the\; tan</span>}<span\; class="notranslate">\; (</span>\frac{{\mathrm{<span\; class="notranslate">\; \&beta;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&omega;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}\mathrm{<span\; class="notranslate">\; T</span>}<span\; class="notranslate">\; )</span>}$

Simultaneous equations get

$\frac{{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}\mathrm{<span\; class="notranslate">\; sin</span>}\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; g</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; \&lsqb;</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\sqrt{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\frac{\mathrm{<span\; class="notranslate">\; 4</span>}\mathrm{<span\; class="notranslate">\; g</span>}\mathrm{<span\; class="notranslate">\; h</span>}}{{{\mathrm{<span\; class="notranslate">\; V</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; cos</span>}\mathrm{<span\; class="notranslate">\; 2</span>}\mathrm{<span\; class="notranslate">\; \&alpha;</span>}<span\; class="notranslate">\; )</span>}}<span\; class="notranslate">\; \&rsqb;</span><span\; class="notranslate">\; =</span>\frac{\mathrm{<span\; class="notranslate">\; i</span>}}{\mathrm{<span\; class="notranslate">\; no</span>}}<span\; class="notranslate">\; *</span>\frac{\mathrm{<span\; class="notranslate">\; D.</span>}}{\mathrm{<span\; class="notranslate">\; 2</span>}}\sqrt{\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; the\; tan</span>}<span\; class="notranslate">\; (</span>\frac{{\mathrm{<span\; class="notranslate">\; \&beta;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; \&omega;</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}\mathrm{<span\; class="notranslate">\; T</span>}<span\; class="notranslate">\; )</span>}$

Therefore, where H, D, and V ₀ β _i are known, the function of α can be obtained.

Preferably, after the calculated actual water output is sprayed, the air quality monitoring device checks the concentration of pollutants and dust, and if the concentration reaches a safe level, the nozzle can be turned off. If not, repeat the sprinkling. In the case of continuous n times of sprinkler activation, the concentration of air pollutants detected by the air quality monitoring module is still higher than the threshold, and if the extreme environment is excluded, it is estimated that the sprinkler system is faulty. The fault information is uploaded to the cloud through the alarm module, and the responsible information database of the area is established and uploaded to the cloud. Establish an information database to store the information of maintenance personnel, schedule time, and the IP number of the mobile terminal carried by each person. Uploaded to the cloud, the control center can change and call the duty information library information at any time. After the control center receives the alarm, it automatically extracts the cloud fault information database and maintenance personnel on-duty information database, and transmits the fault information of the sprinkler device to the mobile terminal of the maintenance personnel through calculation and matching to complete efficient and fast matching maintenance. The mobile terminal can adopt intelligent Mobile phones or other mobile smart devices. In this embodiment, the air quality detection device can be installed on each street light pole. Of course, in order to save costs, the street lamps can also be grouped by area, and each group is equipped with an air quality detection device. Realize the coverage detection of the entire area, set up an identification module for each detection device in the area, perform unique identification and record location information, when a fault occurs, the alarm information containing the identification code and specific location information can be sent Passing it to the mobile terminal can greatly improve the efficiency of maintenance.

Finally, it is noted that the above embodiments are only used to illustrate the technical solutions of the present invention without limitation. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be carried out Modifications or equivalent replacements without departing from the spirit and scope of the technical solution of the present invention shall be covered by the claims of the present invention.

Claims (7)

1. a kind of urban road intelligent spraying dust collection method it is characterised in that: include

A. on street lamp post, sprinkler tip is installed,

B. calculate the effective active area of sprinkler tip group on each street lamp post and optimum go out water speed,

C. setting starts threshold value and detects the air quality of surrounding, the testing result of the air quality according to environment, automatically Sprinkler tip is controlled to be operated.

2. urban road intelligent spraying dust collection method according to claim 1 it is characterised in that: the actuation threshold in step c Value includes single threshold and composite thresholds, and described single threshold sets according to the concentration of in the air each individual event pollutant, described single threshold For multiple, when the concentration of any one pollutant exceedes the value presetting single threshold, automatically control sprinkler tip and carry out work Make.

3. urban road intelligent spraying dust collection method according to claim 2 it is characterised in that: described composite thresholds include By each hazard of contaminant tax weights in the air, and pollution level is calculated, by air quality classification, when air matter When amount is less than certain rank, automatically turn on Sprinkler.

4. urban road intelligent spraying dust collection method according to claim 3 it is characterised in that: the determination side of composite thresholds Method specifically includes:

Judge the pollution level generic of pollutant according to Reliability Code:

Wherein, λ value is that the pollution level that 0.7, k is pollutant belongs to c_kClass,Attribute Measure after processing for equalization.

5. urban road intelligent spraying dust collection method according to claim 1 it is characterised in that: optimum water outlet in step b Speed is obtained by equation below:

$v_0=\sqrt{\frac{{\mathrm{gr}}^2}{r+h-h}}$

Wherein, v₀Go out water speed for optimum, h is nozzle layout of sprinkler height, h is greenbelt height, and r is maximum effect radius.

6. urban road intelligent spraying dust collection method according to claim 5 it is characterised in that: obtained by equation below Watering amount:

q₀=q/ (1-n%)

Wherein, n% is shower nozzle water loss percentage ratio, wherein q₀For actual watering total amount, q is preferable watering total amount, and q=∑ s·h·δc_i0·k_i, δ c_i0Concentration for detecting every pollutant of surrounding exceedes the difference of corresponding single threshold Value, s is the effective active area of each street lamp post sprinkler tip group, and h is nozzle layout of sprinkler height, k_iPollution for unit concentration The quality of the water that thing absorbs.

7. urban road intelligent spraying dust collection method according to claim 1 it is characterised in that: by controlling each street lamp So as to watering area is rectangle, described rotating manner is to control sprinkler tip group to the rotating manner of the sprinkler tip group on lamp stand While uniform rotation in the horizontal direction, carry out vertical rotation.