CN-121978930-A - Deodorant self-adaptive spraying method and system based on concentration prediction

CN121978930ACN 121978930 ACN121978930 ACN 121978930ACN-121978930-A

Abstract

The invention relates to the technical field of spray control, in particular to a deodorant self-adaptive spray method and system based on concentration prediction, comprising the steps of obtaining actual measurement parameters at the current moment in a pollution source area, wherein the actual measurement parameters comprise the current concentration, the current wind speed, the current wind direction deflection angle and the current environment humidity; and calculating a gas concentration predicted value at the next moment. According to the invention, the odor diffusion dynamic offset index is constructed, the relative position of the wind direction and the sensitive area is brought into the control logic, and the directional interception of the diffusion risk in the specific direction is realized. Meanwhile, the problem of response lag is solved by combining an inertial prediction model based on concentration change rate, and an environmental humidity and wind speed drift compensation algorithm is introduced, so that the accurate throwing and effective coverage of the deodorant under the variable meteorological conditions are ensured, and the pain points of response lag and medicament waste of the traditional deodorizing system are solved.

Inventors

CHEN XUNYIN
CHEN YANHONG
LIU GUOQING
YU HAONAN
HE JUNSHU
DONG AIHUA

Assignees

广东雅琪生物科技股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260122

Claims (10)

1. The deodorant self-adaptive spraying method based on concentration prediction is characterized by comprising the following steps of: Obtaining actual measurement parameters at the current moment in a pollution source area, wherein the actual measurement parameters comprise the current concentration, the current wind speed, the current wind direction deflection angle and the current environment humidity; Calculating a gas concentration predicted value at the next moment, wherein the gas concentration predicted value is positively correlated with a current gas concentration actual value and a concentration change rate in a set time window, and is positively correlated with an odor diffusion dynamic offset index, and the odor diffusion dynamic offset index is positively correlated with a current wind speed, and is positively correlated with the cosine of a difference value between a current wind direction deflection angle and a fixed azimuth angle of a sensitive area; Calculating a spray intensity compensation coefficient at the current moment, wherein the spray intensity compensation coefficient is positively correlated with the square root of the ratio of the current ambient humidity to the standard humidity and is positively correlated with the product of the current wind speed and a set drift compensation constant; and controlling the operation power of the spraying device at the next moment based on the gas concentration predicted value at the next moment and the spraying intensity compensation coefficient at the current moment.
2. The concentration-prediction-based adaptive spray method for deodorant according to claim 1, wherein controlling the operation power of the spray device at the next moment comprises: Converting the gas concentration predicted value into target spray flow through a preset concentration-flow mapping function, and multiplying the target spray flow by a spray intensity compensation coefficient to obtain final control flow; and calculating the ratio of the final control flow to the rated maximum flow of the spray system, and taking the ratio as the running power of the variable frequency pump in the spray device at the next moment.
3. The adaptive spraying method of deodorant based on concentration prediction according to claim 1, wherein the method for acquiring the concentration change rate in the set time window comprises the steps of: And selecting concentration data in a past time window at the current moment, and fitting a linear slope by using a least square method to serve as a concentration change rate.
4. The deodorant self-adaptive spraying method based on concentration prediction according to claim 1, wherein the method for acquiring the fixed azimuth angle of the sensitive area comprises the following steps: In the system initialization stage, the central coordinates of the deodorizing area and the central coordinates of the sensitive area are obtained through GPS positioning, and the fixed azimuth angle of the sensitive area relative to the deodorizing area is obtained through calculation by using an inverse trigonometric function.
5. The concentration prediction based adaptive spray method of deodorant according to claim 1, wherein the preset concentration-flow mapping function is: ; In the formula, Is that A concentration-flow mapping function of time of day, The stoichiometric coefficient of the chemical reaction represents the theoretical flow of the chemical agent required for neutralizing the odor of unit concentration, Flow is maintained on a basic basis.
6. A deodorant self-adaptive spraying method based on concentration prediction according to claim 1 or 3, characterized in that the time window setting method comprises: The length of the time window is set in the range of 20 seconds to 60 seconds.
7. The concentration prediction based deodorant self-adaptive spraying method according to claim 1, wherein the calculation formula of the spraying intensity compensation coefficient is: ; In the formula, For the current moment Is used for the spray intensity compensation coefficient of the air conditioner, For the current moment Ambient relative humidity of (2); For a standard reference humidity level, Is a drift compensation constant.
8. The concentration prediction based adaptive spray method for deodorant according to claim 1, wherein the calculation formula of the odor diffusion dynamic shift index is: ; In the formula, For the current moment The smell diffusion dynamic shift index of (c), For the current moment Is used for measuring the measured wind speed of the wind turbine, For the current moment Is used for controlling the wind direction deflection angle of the wind turbine, Is the azimuth angle of the sensitive area relative to the source of contamination. Is the diffusion decay constant.
9. The concentration prediction based deodorant self-adaptive spraying method according to claim 8, wherein the diffusion attenuation constant has a value ranging from 1.2 to 1.8.
10. A concentration-prediction-based deodorant adaptive spray system comprising a processor and a memory, wherein the memory stores a computer program that is executed by the processor to implement the concentration-prediction-based deodorant adaptive spray method of any one of claims 1-9.

Description

Deodorant self-adaptive spraying method and system based on concentration prediction Technical Field The invention relates to the technical field of spray control. More particularly, the invention relates to a deodorant self-adaptive spraying method and system based on concentration prediction. Background With the acceleration of the urban process, the treatment of malodorous gas generated in places such as garbage transfer stations, public toilets, industrial wastewater treatment plants and the like becomes an important point in environmental engineering. At present, the mainstream deodorization means is to atomize and spray a deodorizing agent (such as plant extract and microbial preparations) into the air by adopting a spraying system, and neutralize odor molecules through physical adsorption or chemical reaction. In the prior art, the deodorization spraying control mainly adopts a feedback control algorithm based on real-time concentration monitoring or a simple threshold trigger mechanism. The core logic is usually to collect the current malodorous gas concentration data of the sensor, and when the value exceeds a preset standard, equipment is started or the flow is increased, and part of schemes can also attempt to use a basic gas diffusion model to carry out simple control correction in combination with the current wind speed. However, the above-mentioned existing means have significant limitations in practical applications. Firstly, physical delay exists in both sensor response and medicament effect, and the strong fluctuation trend (namely concentration evolution inertia) of the malodorous concentration in a short time cannot be accurately predicted only according to the concentration value at the current moment or a simple linear relation, so that the system response is often delayed from pollution burst. Secondly, the existing algorithm usually ignores the dynamic coupling relation between the wind direction and the relative position of the sensitive area, namely, the consideration of the directivity of the odor diffusion path is lacked, so that a high-intensity interception barrier cannot be established in advance through prediction when the wind direction directly points to the sensitive area, and ineffective spraying of the medicament is caused when the wind direction deviates. In addition, the influence of environmental humidity on atomized droplet sedimentation and strong wind on the drift loss of the medicament is not fully considered, and effective space coverage concentration of the medicament is difficult to be ensured to be maintained all the time under different meteorological conditions. Disclosure of Invention The invention provides a deodorant self-adaptive spraying method and system based on concentration prediction, and aims to solve the problems that in the related art, an algorithm usually ignores a dynamic coupling relation between wind direction and the relative position of a sensitive area, namely, consideration of odor diffusion path directivity is lacked, so that a high-strength interception barrier cannot be established in advance through prediction when the wind direction directly points to the sensitive area, and ineffective spraying of a medicament is caused when the wind direction deviates. In a first aspect, the invention provides a deodorant self-adaptive spraying method based on concentration prediction, which comprises the steps of obtaining actual measurement parameters of a current moment in a pollution source area, wherein the actual measurement parameters comprise the current concentration, the current wind speed, the current wind direction deflection angle and the current environment humidity, calculating a gas concentration predicted value of the next moment, wherein the gas concentration predicted value is positively correlated with a current gas concentration actual value and a concentration change rate in a set time window and is positively correlated with an odor diffusion dynamic offset index, the odor diffusion dynamic offset index is positively correlated with the current wind speed and is positively correlated with the cosine of a difference value between the current wind direction deflection angle and a fixed azimuth angle of a sensitive area, calculating a spraying intensity compensation coefficient of the current moment, wherein the spraying intensity compensation coefficient is positively correlated with the square root of a ratio of the current environment humidity to the standard humidity, and is positively correlated with the product of the current wind speed and the set drift compensation constant, and controlling the running power of a spraying device at the next moment based on the gas concentration predicted value of the next moment and the spraying intensity compensation coefficient of the current moment. The odor diffusion dynamic offset index and the spraying intensity compensation coefficient are introduced, so that the defects that the