Deodorant adaptive spraying method and system based on concentration prediction

Abstract

The invention relates to the technical field of spraying control, in particular to a deodorant self-adaptive spraying method and system based on concentration prediction.The deodorant self-adaptive spraying method comprises the steps that actually-measured parameters at the current moment in a pollution source area are obtained, and the actually-measured 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 method, the smell diffusion dynamic deviation index is constructed, the relative position of the wind direction and the sensitive area is taken into the control logic, and directional interception of the diffusion risk in the specific direction is achieved. Meanwhile, the problem of response lag is solved in combination with an inertial prediction model based on the concentration change rate, and an environment humidity and wind speed drift compensation algorithm is introduced, so that accurate putting and effective coverage of the deodorant under the changeable meteorological conditions are ensured, and the pain points of response lag and medicament waste of a traditional deodorization system are solved.

Description

Technical Field

[0001] This invention relates to the field of spray control technology. More specifically, this invention relates to an adaptive spraying method and system for deodorants based on concentration prediction. Background Technology

[0002] With the acceleration of urbanization, the treatment of odorous gases generated from garbage transfer stations, public toilets, and industrial wastewater treatment plants has become a key focus in environmental engineering. Currently, the mainstream deodorization method is to use a spray system to atomize deodorizing agents (such as plant extracts and microbial preparations) and spray them into the air, neutralizing odor molecules through physical adsorption or chemical reaction.

[0003] In existing technical solutions, deodorizing spray control mainly adopts feedback control algorithms based on real-time concentration monitoring or simple threshold triggering mechanisms. The core logic typically involves collecting current odor gas concentration data from sensors; when the value exceeds a preset standard, the equipment is activated or the flow rate is increased. Some solutions also attempt to use basic gas diffusion models combined with the current wind speed for simple control corrections.

[0004] However, the aforementioned existing methods have significant limitations in practical applications. First, both sensor response and reagent effectiveness are subject to physical delays. Relying solely on the current concentration value or a simple linear relationship cannot accurately predict the drastic fluctuations in odor concentration over a short period (i.e., concentration evolution inertia), causing the system response to often lag behind pollution outbreaks. Second, existing algorithms typically ignore the dynamic coupling relationship between wind direction and the relative position of sensitive areas, lacking consideration of the directional nature of odor diffusion paths. This results in the inability to establish a high-intensity interception barrier in advance when the wind is directly pointing towards the sensitive area, while ineffective reagent spraying occurs when the wind is not blowing in the opposite direction. Furthermore, the impact of ambient humidity on atomized droplet settling and strong winds on reagent drift loss is not adequately considered, making it difficult to ensure that the reagent maintains an effective spatial coverage concentration under different meteorological conditions. Summary of the Invention

[0005] This invention provides an adaptive spraying method and system for deodorants based on concentration prediction, aiming to solve the problem that some algorithms in related technologies usually ignore the dynamic coupling relationship between wind direction and the relative position of sensitive areas, that is, they lack consideration of the directional nature of odor diffusion paths, which leads to the inability to establish a high-strength interception barrier in advance when the wind direction is directly pointing to the sensitive area, and causes ineffective spraying of the agent when the wind direction is opposite.

[0006] In a first aspect, the present invention provides an adaptive spraying method for deodorants based on concentration prediction, comprising: acquiring measured parameters at the current moment within a pollution source area, the measured parameters including current concentration, current wind speed, current wind direction angle, and current ambient humidity; calculating a predicted gas concentration value for the next moment, the predicted gas concentration value being positively correlated with the actual current gas concentration value and the concentration change rate within a set time window, and also positively correlated with an odor diffusion dynamic shift index; wherein the odor diffusion dynamic shift index is positively correlated with the current wind speed and also positively correlated with the cosine of the difference between the current wind direction angle and the fixed azimuth angle of the sensitive area; calculating a spraying intensity compensation coefficient for the current moment, the spraying intensity compensation coefficient being positively correlated with the square root of the ratio of the current ambient humidity to the standard humidity, and positively correlated with the product of the current wind speed and a set drift compensation constant; and controlling the operating power of the spraying device at the next moment based on the predicted gas concentration value for the next moment and the spraying intensity compensation coefficient for the current moment. By introducing an odor diffusion dynamic offset index and a spray intensity compensation coefficient, this technology overcomes the shortcomings of existing technologies that rely solely on real-time concentration monitoring, resulting in response lag and neglecting the relative position of wind direction and sensitive areas. It can predict diffusion risks in advance based on wind speed and the degree of alignment between wind direction and sensitive areas, strengthen interception when the wind is directly pointing to the sensitive area, and compensate for spray intensity by combining environmental humidity and wind speed, thus solving the problems of droplet sedimentation and drift loss and significantly improving the accuracy and effectiveness of deodorization.

[0007] Furthermore, controlling the operating power of the spray device at the next moment includes: converting the predicted gas concentration value into a target spray flow rate through a preset concentration-flow rate mapping function; multiplying the target spray flow rate by the spray intensity compensation coefficient to obtain the final control flow rate; and calculating the ratio of the final control flow rate to the rated maximum flow rate of the spray system as the operating power of the variable frequency pump in the spray device at the next moment. By precisely controlling the operating power of the variable frequency pump by calculating the ratio of the target flow rate to the rated flow rate, the deodorizing agent dosage can be finely adjusted, ensuring deodorization capability under harsh operating conditions while avoiding agent waste and excessive equipment wear under low-risk operating conditions.

[0008] Furthermore, the method for obtaining the concentration change rate within the set time window includes: selecting concentration data from the past time window at the current moment, and using the least squares method to fit the slope of a straight line as the concentration change rate. Compared to simple difference calculation, this method can more accurately reflect the evolution trend of concentration, effectively filter out random noise interference from sensor data, and improve the robustness and accuracy of predicting the trend of malodorous gas outbreaks.

[0009] Furthermore, the method for obtaining the fixed azimuth angle of the sensitive area includes: during the system initialization phase, obtaining the center coordinates of the deodorization area and the center coordinates of the sensitive area through GPS positioning, and calculating the fixed azimuth angle of the sensitive area relative to the deodorization area using inverse trigonometric functions. This method accurately quantifies the spatial orientation of the sensitive area relative to the pollution source, providing accurate benchmark data for subsequent calculation of the odor diffusion dynamic offset index, thereby achieving targeted defense of specific protected targets.

[0010] Furthermore, the preset concentration-flow rate mapping function is: In the formula, for Concentration-flow mapping function at time, The stoichiometric coefficient represents the theoretical reagent flow rate required to neutralize a unit concentration of odor. To maintain the basic flow rate, a concentration-flow mapping model based on chemical reaction stoichiometry was established. This ensures that the dosage of deodorant is scientifically based and meets the theoretical reagent requirements for neutralizing a unit concentration of odor, while maintaining the basic flow rate to guarantee the system's basic response capability.

[0011] Furthermore, the method for setting the time window includes: setting the length of the time window to a range of 20 seconds to 60 seconds.

[0012] Furthermore, the formula for calculating the spray intensity compensation coefficient is as follows: In the formula, For the current moment The spray intensity compensation coefficient, For the current moment The relative humidity of the environment; For standard reference humidity, This is the drift compensation constant. The humidity term corrects for the hygroscopic sedimentation effect of the atomized droplets, and the wind speed drift term corrects for the loss of the agent due to being blown away. This ensures that the sprayed agent mist curtain can maintain sufficient spatial concentration and residence time under different weather conditions, thus guaranteeing the consistency of the deodorization effect.

[0013] Furthermore, the formula for calculating the odor diffusion dynamic shift index is as follows: In the formula, For the current moment Odor diffusion dynamic offset index, For the current moment The measured wind speed. For the current moment The angle of wind direction, This represents the azimuth angle of the sensitive area relative to the pollution source. The diffusion attenuation constant is defined as 1.2 to 1.8. The overlap between wind direction and sensitive areas is quantified using a cosine function. When high wind speeds are combined with wind direction pointing directly at the sensitive area, this indicator increases exponentially, triggering a powerful system response and enabling the sensitive detection and targeted blocking of high-risk meteorological conditions.

[0014] In a second aspect, a concentration-predictive-based adaptive deodorant spraying system is also provided, comprising a processor and a memory, the memory storing a computer program, the processor executing the computer program to implement the concentration-predictive-based adaptive deodorant spraying method described in any of the preceding embodiments.

[0015] Beneficial effects: A dynamic odor diffusion offset index was constructed, incorporating the relative position of wind direction and sensitive areas into the control logic, achieving targeted interception of diffusion risks in specific directions. Simultaneously, an inertial prediction model based on concentration change rate was used to address the response lag problem, and an algorithm for compensating for environmental humidity and wind speed drift was introduced to ensure accurate delivery and effective coverage of deodorants under variable weather conditions, solving the pain points of traditional deodorization systems such as response lag and reagent waste. Attached Figure Description

[0016] Figure 1 This is a schematic illustration of an embodiment according to the present invention; Figure 2 This is a schematic diagram showing a comparison of odor concentration in the adaptive spraying method according to an embodiment of the present invention with that in the prior art spraying method. Detailed Implementation

[0017] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0018] like Figure 1 As shown, S101: Multi-source environmental data acquisition and preprocessing. The system collects time-series data in real time through a sensor matrix deployed upwind of the deodorization area (such as a garbage transfer station or sewage treatment plant) and in the core operating area. Specifically, the current sampling time is set as... It also simultaneously acquires the following key parameters: the current wind speed, the current wind direction angle, and the current ambient relative humidity.

[0019] S102: Calculate the odor diffusion dynamic offset index at the current moment.

[0020] In open or semi-open environments, simple concentration monitoring cannot characterize the potential threat of odorous gas masses to sensitive areas (such as residential areas). This embodiment quantifies the guiding effect of wind fields on the diffusion path of odors by constructing an airflow transport offset index. Based on the advection diffusion principle in fluid mechanics, the following odor diffusion dynamic offset index is constructed. The calculation formula is as follows: In the formula, For the current moment Odor diffusion dynamic offset index, For the current moment The measured wind speed. For the current moment The wind direction angle. This represents the azimuth angle of the sensitive area relative to the pollution source. The diffusion attenuation constant is used to adjust the sensitivity of wind speed to the index. The range of values ​​for the diffusion attenuation constant is... In this embodiment, the diffusion attenuation constant is preferably 0.8.

[0021] In the above formula, the azimuth angle is specifically obtained as follows: during the system initialization phase, the coordinates of the pollution source center are determined using GPS positioning. Coordinates of the center of the sensitive target area The fixed azimuth angle is calculated using inverse trigonometric functions. .

[0022] From the above formula, we can see that the cosine function term This reflects the degree of overlap between the current wind direction and the sensitive area. When the wind direction is directly pointing towards the sensitive area, ,at this time If high wind speed is added The independent variable of the exponential function will increase significantly, leading to It increased exponentially. This indicates that even the current source concentration... Although the water level has not yet exceeded the maximum allowable level, the downstream risk is extremely high due to the influence of air currents, and the system needs to be on high alert. When the wind direction shifts away from the sensitive area... The exponent term is less than ,lead to This helps to suppress false alarms.

[0023] S103: Construct a concentration evolution inertial prediction model.

[0024] To overcome sensor response lag and drug delivery time delay, the system needs to predict future concentration trends. This embodiment constructs an inertial prediction model based on physical gradients. The prediction model formula is as follows: In the formula, for Predicted gas concentration at time [time]. For the current moment Odor diffusion dynamic offset index, For the current moment The actual value of the gas concentration. The first derivative of the concentration, i.e. the rate of change of concentration, is calculated as follows: select the concentration data within the past time window of the current moment, fit the slope of the straight line using the least squares method, or directly calculate the difference. The length of the time window ranges from 20 seconds to 60 seconds, and in this embodiment, it is preferably 30 seconds. This is the inertia correction factor, and its preferred value range is... This coefficient is used to adjust the sensitivity to sudden changes in concentration. The larger the value, the more aggressive the system's response to a sudden spike in concentration.

[0025] This formula achieves coupling between the time and space dimensions. The first half... Using the first-order approximation of Taylor expansion, we can capture the rising inertia of concentration. If the concentration is rising rapidly ( (If the value is a large positive value), the predicted value will be significantly higher than the current value, achieving advance prediction. The second half is multiplied by... This involves spatial risk weighting of the prediction results. That is, only when the concentration rises rapidly and the wind direction is directly towards the residential area will the predicted concentration of malodorous gas reach a high level that triggers powerful spraying, thus accurately identifying high-risk operating conditions.

[0026] S104: Construct the spray intensity compensation coefficient for the current moment.

[0027] The effectiveness of the sprayed deodorant droplets in the air is significantly affected by humidity and wind speed. For example, under high humidity, the droplets tend to aggregate and settle; under high wind speed, the droplets are easily dispersed. To achieve adaptive spraying, a spray intensity compensation coefficient needs to be established. The spray intensity compensation coefficient is established based on the following formula: In the formula, For the current moment The spray intensity compensation coefficient. For the current moment The relative humidity of the environment; As the standard reference humidity, it is set to [value] in this embodiment. . The drift compensation constant characterizes the loss rate of the agent due to wind dispersion. Based on extensive field testing, this embodiment... The preferred value is . For the current moment The wind speed.

[0028] From the above formula, we can see that the humidity term This indicates that in high humidity environments, such as... When the air is nearly saturated, the atomized droplets easily absorb moisture, grow, and settle rapidly, resulting in a shortened effective residence time in the air. The system automatically increases the spray intensity. To compensate for settlement losses. And wind speed... This indicates that the higher the wind speed, the easier it is for the sprayed pesticide mist to be dispersed or to create holes. Through linear gain, as the wind speed increases, the spray volume is forcibly increased to increase the mist thickness, ensuring effective interception of odor molecules.

[0029] S105: Perform adaptive spray control.

[0030] Finally, the system comprehensively predicts the concentration and the environmental compensation coefficient to calculate the final actuator control parameters. Specifically, the predicted concentration value is used to calculate the final actuator control parameters. The target spray flow rate is converted using a preset concentration-flow mapping function. This target flow rate is then multiplied by a spray intensity compensation coefficient to obtain the final control flow rate. The ratio of the final control flow rate to the rated maximum flow rate of the spray system is then used as the operating power of the variable frequency pump in the spray device at the next moment, thus executing adaptive spray control. This embodiment employs a variable frequency control strategy, adjusting the operating frequency of the spray pump to change the spray pressure and flow rate. Final spray frequency. The calculation formula is as follows: ; for The duty cycle or frequency percentage of the spray pump at any given time. . for The concentration-flow rate mapping function at time points establishes a baseline relationship between the predicted concentration and the required drug dosage. For the current moment The spray intensity compensation coefficient. This is the rated maximum flow rate of the sprinkler system, which is the output flow rate when the pump is running at full frequency.

[0031] The method for obtaining the drug flow mapping function is as follows: , for The concentration-flow rate mapping function at time t, i.e., the target spray flow rate that the sprinkler system needs to execute; where The chemical reaction stoichiometric coefficient represents the theoretical reagent flow rate required to neutralize a unit concentration of odor. The theoretical reagent flow rate required to neutralize a unit concentration of odor can be obtained directly through the field gradient calibration method known in the field of environmental engineering or according to the deodorant product technical manual. Based on the maintained flow rate, the target spray flow rate is multiplied by the spray intensity compensation coefficient to obtain the final control flow rate.

[0032] The above formula shows that we should not only look at the current concentration, but also at future trends. The calculation includes wind direction risk and takes into account the weakening effect of weather on the agent. When high-risk and severe weather is predicted, such as sudden high concentration + strong wind blowing towards residential areas + high humidity, the numerator will become very large, causing the calculation results to tend towards or exceed [the expected value]. The system will immediately operate at full capacity, forming a saturated interception barrier; while in low-risk or good weather conditions, the system will automatically reduce power operation, thereby significantly reducing reagent consumption and equipment wear while ensuring deodorization effect.

[0033] like Figure 2 As shown in the chart, the actual residual odor concentration monitored in downwind sensitive areas (such as residential areas) after spraying treatment is illustrated. The orange dotted line marks the odor complaint warning line. The blue curve (existing technology) indicates that during the peak concentration period at the source, due to slow control response and insufficient spray volume to resist wind dispersion, the residual concentration rises sharply, exceeding the warning line, which means it will trigger resident complaints. The green solid line (this invention) maintains an extremely low level throughout, always below the warning line. This demonstrates that by introducing the odor diffusion dynamic offset index and spray intensity compensation coefficient, the system successfully intercepts and neutralizes the odor before it reaches the sensitive point.

[0034] The present invention also provides an adaptive deodorant spraying system based on concentration prediction. The system includes a processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement the adaptive deodorant spraying method based on concentration prediction according to the first aspect of the present invention.

[0035] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and therefore will not be described in detail here.

[0036] In this invention, the aforementioned memory can be any tangible medium containing or storing a program that can be used or combined with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium can be any suitable magnetic or magneto-optical storage medium, such as Resistive Random Access Memory (RRAM), Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), Enhanced Dynamic Random Access Memory (EDRAM), High-Bandwidth Memory (HBM), Hybrid Memory Cube (HMC), etc., or any other medium that can be used to store desired information and can be accessed by an application, module, or both. Any such computer storage medium can be part of a device or accessible to or connected to a device. Any application or module described in this invention can be implemented using computer-readable / executable instructions stored or otherwise maintained on such a computer-readable medium.

[0037] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. An adaptive spraying method for deodorants based on concentration prediction, characterized in that, include: Obtain the measured parameters within the pollution source area at the current moment, including the current concentration, current wind speed, current wind direction angle, and current ambient humidity; The predicted gas concentration value for the next moment is calculated. The predicted gas concentration value is positively correlated with the current actual gas concentration value and the concentration change rate within the set time window, and is also positively correlated with the odor diffusion dynamic offset index. The odor diffusion dynamic offset index is positively correlated with the current wind speed and is also positively correlated with the cosine of the difference between the current wind direction angle and the fixed azimuth angle of the sensitive area. Calculate the spray intensity compensation coefficient at the current moment. 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 also positively correlated with the product of the current wind speed and the set drift compensation constant. Based on the predicted gas concentration at the next moment and the spray intensity compensation coefficient at the current moment, the operating power of the spray device is controlled at the next moment.

2. The adaptive spraying method for deodorants based on concentration prediction according to claim 1, characterized in that, Controlling the operating power of the sprinkler system at the next moment includes: The predicted gas concentration is converted into a target spray flow rate through a preset concentration-flow rate mapping function, and the target spray flow rate is multiplied by the spray intensity compensation coefficient to obtain the final control flow rate. The ratio of the final controlled flow rate to the rated maximum flow rate of the sprinkler system is calculated and used as the operating power of the variable frequency pump in the sprinkler system at the next moment.

3. The adaptive spraying method for deodorants based on concentration prediction according to claim 1, characterized in that, The methods for obtaining the concentration change rate within a set time window include: Concentration data within a past time window are selected from the current moment, and the slope of a straight line is fitted using the least squares method as the rate of concentration change.

4. The adaptive spraying method for deodorants based on concentration prediction according to claim 1, characterized in that, The method for obtaining the fixed azimuth angle of the sensitive area includes: During the system initialization phase, the center coordinates of the deodorization area and the center coordinates of the sensitive area are obtained through GPS positioning, and the fixed azimuth angle of the sensitive area relative to the deodorization area is calculated using inverse trigonometric functions.

5. The adaptive spraying method for deodorants based on concentration prediction according to claim 1, characterized in that, The preset concentration-flow rate mapping function is: ； In the formula, for Concentration-flow mapping function at time, The stoichiometric coefficient represents the theoretical reagent flow rate required to neutralize a unit concentration of odor. To maintain traffic based on this.

6. The adaptive spraying method for deodorants based on concentration prediction according to claim 1 or 3, characterized in that, Methods for setting a time window include: The length of the time window can be set from 20 seconds to 60 seconds.

7. The adaptive spraying method for deodorants based on concentration prediction according to claim 1, characterized in that, The formula for calculating the spray intensity compensation coefficient is: ； In the formula, For the current moment The spray intensity compensation coefficient, For the current moment The relative humidity of the environment; For standard reference humidity, This is the drift compensation constant.

8. The deodorant adaptive spraying method based on concentration prediction according to claim 1, characterized in that, The formula for calculating the odor diffusion dynamic shift index is: ； In the formula, For the current moment Odor diffusion dynamic offset index, For the current moment The measured wind speed, For the current moment The angle of wind direction, This represents the azimuth angle of the sensitive area relative to the pollution source. is the diffusion attenuation constant.

9. The adaptive spraying method for deodorants based on concentration prediction according to claim 8, characterized in that, The diffusion attenuation constant ranges from 1.2 to 1.

8.

10. An adaptive spraying system for deodorants based on concentration prediction, comprising a processor and a memory, characterized in that, The memory stores a computer program, and the processor executes the computer program to implement the deodorant adaptive spraying method based on concentration prediction as described in any one of claims 1-9.

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