Automatic feedback regulation and control system for disinfection duration in pasture animal house

Abstract

The invention relates to the technical field of data processing, in particular to a pasture animal house disinfection duration automatic feedback regulation and control system which is used for determining theoretical spraying disinfection duration of a target disinfection zone based on static environment parameters of the target disinfection zone in an animal house, disinfectant performance parameters and efficiency parameters of a spraying device; carrying out primary spraying on the target disinfection subarea based on the theoretical spraying disinfection duration; after the target disinfection subarea is sprayed for the first time, dynamic environment parameters of the target disinfection subarea are monitored; on the basis of the dynamic environment parameters, determining real-time re-spraying necessity parameters of the target disinfection subarea; and generating a re-spraying control instruction based on the real-time re-spraying necessity parameter so as to carry out supplementary spraying on the target disinfection zone. According to the system, the resource utilization rate of the disinfectant can be improved while the disinfection effect is guaranteed to reach the standard.

Description

Technical Field

[0001] This application relates to the field of data processing technology, specifically to an automated feedback control system for the duration of disinfection in livestock sheds on a ranch. Background Technology

[0002] Since livestock sheds are usually high-density breeding grounds, the suitable environment can easily breed a large number of pathogens such as bacteria, viruses, and parasite eggs. Abundant organic matter (such as animal feces, urine, feed residue, and dander) provides sufficient nutrients for pathogens. If pathogens are not cleaned and disinfected in time, it may cause large-scale infection of farmed animals. Therefore, it is necessary to disinfect and clean the livestock sheds regularly and thoroughly to ensure the healthy growth of farmed animals.

[0003] In existing technologies, the disinfection time is usually determined based on static environmental factors when performing pipeline disinfection. However, in the actual disinfection process, there are many dynamic factors, such as differences in ventilation in different areas, disturbances caused by animal activities, and uneven evaporation rates of disinfectant. These dynamic factors can significantly affect the actual residence time and effective concentration of disinfectant, which may result in insufficient disinfection in some areas or excessive spraying in others, leading to low disinfection effectiveness and inaccurate resource utilization. Summary of the Invention

[0004] To address the technical problems of low disinfection effectiveness and inaccurate resource utilization caused by determining disinfection duration based on static environmental factors, this application aims to provide an automated feedback control system for disinfection duration in livestock sheds. The specific technical solution adopted is as follows: This application provides an automated feedback control system for disinfection duration in livestock sheds of a ranch. The system includes a theoretical duration determination unit, a control unit, and a dynamic control unit. The theoretical duration determination unit determines the theoretical spraying disinfection duration for a target disinfection zone based on static environmental parameters, disinfectant performance parameters, and spray device efficiency parameters. The control unit performs an initial spraying of the target disinfection zone based on the theoretical spraying disinfection duration. The dynamic control unit monitors the dynamic environmental parameters of the target disinfection zone after the initial spraying. The dynamic control unit also determines a real-time re-spraying necessity parameter for the target disinfection zone based on the dynamic environmental parameters. The control unit further generates a re-spraying control command based on the real-time re-spraying necessity parameter to perform supplementary spraying on the target disinfection zone.

[0005] Optionally, the theoretical duration determination unit is specifically used to: determine the initial spraying duration based on the performance parameters of the disinfectant and the efficiency parameters of the spraying device; determine the environmental impact coefficient based on the static environmental parameters; and correct the initial spraying duration based on the environmental impact coefficient to obtain the theoretical spraying disinfection duration.

[0006] Optionally, the performance parameters of the disinfectant include the disinfection efficacy constant and the concentration of the active ingredient, and the performance parameters of the spraying device include the unit coverage efficacy and the unit coverage area. The theoretical duration determination unit is specifically used to: determine the duration of action of the disinfectant under standard conditions based on the disinfection efficacy constant and the concentration of the active ingredient; and convert the duration of action into the initial spraying duration based on the unit coverage efficacy and the unit coverage area.

[0007] Optionally, the static environmental parameters include parameter values ​​for at least one parameter type. The theoretical duration determination unit is specifically used to: determine the adjustment factor for each parameter type based on the parameter values ​​for each parameter type and the corresponding influence curve for each parameter type; and determine the environmental impact coefficient by multiplying the adjustment factors for at least one parameter type.

[0008] Optionally, the control unit is specifically used to: acquire noise data of all disinfection zones before spraying; determine the animal aggregation degree of the target disinfection zone based on the average noise value of all disinfection zones and the average noise value of the target disinfection zone; and perform initial spraying on the target disinfection zone if the animal aggregation degree is less than or equal to a preset aggregation degree threshold.

[0009] Optionally, the dynamic environmental parameters include the concentration of the effective component of the disinfectant and noise data. The dynamic control unit is specifically used to: determine the real-time disinfectant concentration difference of the target disinfection zone based on the lowest decay curve of the effective component concentration of the disinfectant in the target disinfection zone and the current concentration of the effective component of the disinfectant, wherein the real-time disinfectant concentration difference is used to characterize the degree of decay of the disinfectant concentration; determine the real-time animal activity probability of the target disinfection zone based on the noise data, wherein the animal activity probability is used to characterize the risk of interference of animal activity to spraying; and determine the real-time respraying necessity parameter based on the real-time relative difference of disinfectant concentration and the real-time animal activity probability.

[0010] Optionally, the dynamic control unit is specifically used to: divide the noise data based on a preset time window to obtain a noise sequence of multiple time windows, including the current time window; determine the average noise value of each time window; determine the number of rising time windows, which are time windows where the average noise value is greater than the average noise value of the previous time window; and determine the probability of the real-time animal activity based on the number of multiple time windows, the number of rising time windows, the average noise value of the current time window, the maximum value of the average noise value of the multiple time windows, and the noise value at the end of the spraying.

[0011] Optionally, the control unit is specifically configured to: determine a target supplementary spraying duration based on the real-time respraying necessity parameter and the minimum supplementary spraying duration when the real-time respraying necessity parameter is greater than the necessity threshold; and generate the respraying control command based on the target supplementary spraying duration.

[0012] Optionally, the control unit is specifically used to: determine the target total spraying time based on the target supplementary spraying time and the theoretical spraying disinfection time; and generate the respray control command when the target total spraying time is less than the upper limit of the total disinfection time for a single operation, wherein the respray control command includes the target supplementary spraying time.

[0013] Optionally, the system further includes a data acquisition unit, which is used to: deploy a first type of sensor on the ground layer of the target disinfection zone to acquire the concentration of the effective components of the disinfectant and static environmental parameters based on the first type of sensor; and deploy a second type of sensor on the animal activity layer of the target disinfection zone to acquire noise data based on the second type of sensor.

[0014] This application has the following beneficial effects: The automated feedback control system for disinfection duration in livestock sheds provided in this application first calculates the theoretical spray disinfection duration based on static parameters, providing a scientific basis for the initial spray. Then, the dynamic control unit monitors dynamic environmental parameters in real time and determines the necessity of real-time re-spraying. Finally, the control unit executes supplementary spraying, forming a complete control process of "static modeling - initial spraying - dynamic monitoring - on-demand re-spraying". This effectively solves the problem of lack of dynamic adaptability in existing disinfection methods, improves the resource utilization rate of disinfectant while ensuring the effectiveness of disinfection, and enhances the intelligence and precision of livestock shed disinfection. Attached Figure Description

[0015] To more clearly illustrate the technical solutions and advantages in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A structural diagram of an automated feedback control system for disinfection duration in a ranch livestock shed, provided as an embodiment of this application; Figure 2 A structural diagram of another automated feedback control system for disinfection duration in livestock sheds provided in one embodiment of this application; Figure 3This is a flowchart illustrating an automated feedback control method for disinfection duration in livestock sheds during a pasture, as provided in one embodiment of this application. Detailed Implementation

[0017] To further illustrate the technical means and effects adopted by this application to achieve the intended purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an automated feedback control system for disinfection duration in livestock sheds according to this application. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0019] Disinfection in livestock sheds primarily utilizes the active ingredients in disinfectants to disrupt the structures or metabolic processes necessary for pathogen survival, causing them to become inactive or die. The main mechanisms of action include oxidation, protein denaturation, dissolution, and structural disruption. However, sufficient concentrations of disinfectant must be in contact with the pathogens for a certain duration to ensure effective eradication. Environmental factors significantly influence the spread, volatilization, and contact effectiveness of disinfectant ingredients with pathogens. These include environmental parameters such as temperature and humidity, which can be monitored by sensors. At lower temperatures, the disinfectant volatilizes and decomposes more slowly, the pathogens are in a lower metabolic state, the disinfectant's sensitivity decreases, and a longer disinfection time is required.

[0020] Existing pipeline disinfection time is usually determined based on static environmental factors. After the initial spraying, the impact of subsequent dynamic factors on the disinfection results is ignored. To avoid poor disinfection effect caused by dynamic factors, the current common practice is to spray excessive amounts of disinfectant. However, this method is prone to waste of disinfectant, which is very uneconomical and may cause severe stress to animals in the livestock shed, posing a risk to their health.

[0021] The following description, in conjunction with the accompanying drawings, details the specific scheme of an automated feedback control system for disinfection duration in livestock sheds provided in this application.

[0022] Please see Figure 1 The diagram shows a structural diagram of an automated feedback control system for disinfection duration in a ranch livestock shed, provided in one embodiment of this application.

[0023] like Figure 1As shown, the automated feedback control system 10 for disinfection in the livestock shed of the ranch includes a theoretical duration determination unit 101, a control unit 102, and a dynamic control unit 103.

[0024] The theoretical duration determination unit 101 is used to determine the theoretical spray disinfection duration of the target disinfection zone based on the static environmental parameters, disinfectant performance parameters, and spray device efficiency parameters of the target disinfection zone in the livestock house.

[0025] It is understandable that there may be multiple disinfection zones within the livestock shed, and the target disinfection zone is any one of the disinfection zones to be disinfected.

[0026] It should be understood that static environmental parameters refer to environmental characteristic parameters within the target disinfection zone that do not change dynamically during the spraying process before the spraying begins.

[0027] Optionally, the static environmental parameters may include parameter values ​​of multiple reference types, such as the percentage of fecal residue area, temperature, humidity, and pollutant characterization parameters (such as ammonia concentration).

[0028] It should be understood that different types of disinfectants have different disinfection principles. The performance parameters of a disinfectant refer to the inherent bactericidal characteristics of the selected disinfectant itself, such as the disinfection efficacy constant, the concentration of the active ingredient, the minimum effective bactericidal concentration of the disinfectant against the target pathogen, and the bactericidal action rate.

[0029] The performance parameters of a spraying device refer to the working characteristic parameters of the spraying equipment under standard operating conditions, such as the atomization particle size of the spray head, the unit coverage efficiency, and the unit coverage area.

[0030] The theoretical spray disinfection time refers to the spraying time required to achieve a preset standard (usually 99.5%) in the target disinfection zone under the combined effects of the above-mentioned static environment, disinfectant performance, and spray device efficiency. It is the core basis for the initial spraying.

[0031] In one implementation of this application, before determining the theoretical spray disinfection time, sensors can be deployed in the target disinfection zone to collect environmental data and the concentration of the effective disinfectant solution. Combined with... Figure 1 ,like Figure 2 As shown, the automated feedback control system 10 for disinfection duration in the ranch's livestock sheds also includes a data acquisition unit 104.

[0032] The data acquisition unit 104 is used to deploy a first type of sensor on the ground layer of the target disinfection zone to collect the concentration of the effective components of the disinfectant and static environmental parameters based on the first type of sensor; and to deploy a second type of sensor on the animal activity layer of the target disinfection zone to collect noise data based on the second type of sensor.

[0033] It should be understood that since disinfectants act on ground pollutants, the most direct and accurate reaction site for the residue and attenuation of their effective components is the ground. Therefore, collecting the concentration of the effective components of disinfectants at the ground level can obtain a more realistic disinfection effect. Since animal noise activities such as calls and movements mainly occur at the height of their "breathing zone," collecting noise monitoring data at the animal activity layer can obtain the most direct signal with the highest signal-to-noise ratio that corresponds to the intensity of animal activity.

[0034] It should be understood that the static environmental parameter is a parameter that changes relatively slowly. Therefore, the sensor used to collect the static environmental parameter has a low acquisition frequency. The data on the concentration of the active ingredient in the disinfectant and the noise data change relatively quickly. Therefore, the sensor used to collect the concentration of the active ingredient in the disinfectant and the noise data has a low acquisition frequency.

[0035] For example, the static environmental parameters can be collected once every 5 minutes, the concentration of the effective ingredient in the disinfectant can be collected once every 1 minute during the spraying process, and then increased to once every 30 seconds after the spraying is completed. Noise data is collected in a continuous mode at a frequency of 10 Hz, and the data is integrated by sliding time windows (window duration of 1 minute, step size of 30 seconds).

[0036] Optionally, the first type of sensor may include an ammonia sensor, a temperature sensor, a humidity sensor, and a disinfectant active ingredient concentration sensor, while the second type of sensor may be a sound decibel sensor.

[0037] Optionally, the first type of sensor can be deployed evenly at a density of 2-3 per 100 square meters, with the probe 0.3-0.5 meters above the ground and close to areas with concentrated manure and sewage (such as the edge of manure ditches or around sewage outlets); the second type of sensor is deployed at the height of the animal's breathing zone, for example, 1.0-1.5 meters in beef cattle farming scenarios and 0.8-1.2 meters in sheep farming scenarios, with 1-2 sensors deployed in each zone, covering the center of the zone and areas where animals often gather (such as near feeding troughs).

[0038] In one alternative implementation, a multi-factor comprehensive evaluation model can be trained through pre-experimentation, and then the theoretical spray disinfection time can be determined based on the multi-factor comprehensive evaluation model. This multi-factor comprehensive evaluation model is a nonlinear mapping model, which is used to integrate the comprehensive influence of static environmental parameters, disinfectant performance parameters, and spray device efficiency parameters on the sterilization effect.

[0039] For example, the preliminary experiments can be divided into three test groups: a disinfectant concentration test group, a temperature test group, and a humidity test group. The disinfectant concentration test group: different concentration gradients are set in an indoor environment, using the same bacterial colony for testing, and the sterilization time corresponding to each concentration is recorded. The temperature and humidity are consistent with the indoor environment. The temperature test group: temperature gradients of 20℃, 22℃, 24℃, 26℃, 28℃, and 30℃ are set in a closed environment. Within the same group, the disinfectant concentration and bacterial colony are consistent, and the humidity is kept uniform. The humidity test group: humidity gradients of 30%, 40%, 50%, and 60% are set in a closed environment. Within the same group, the disinfectant concentration and bacterial colony are consistent, and the temperature is kept uniform. The criterion for judging bacterial activity in all tests is: when the bacterial mortality rate is greater than 99.9%, it is judged as sterilization meeting the standard, and the corresponding sterilization time is recorded.

[0040] The control unit 102 is used to perform the initial spraying of the target disinfection zone based on the theoretical spraying disinfection time.

[0041] Specifically, a spray control command is generated based on the theoretical spray disinfection duration. Then, the spray control command drives the spray equipment in the target disinfection zone to start spraying. A countdown is set based on the theoretical spray disinfection duration. When the countdown ends, the spray equipment stops spraying.

[0042] Optionally, the spray control command includes a representation of the target disinfection zone and the theoretical spray disinfection duration.

[0043] Optionally, the respray control command may also include parameters such as spray pressure and atomized particle size.

[0044] It should be understood that disinfection of a target disinfection zone should be carried out when there is no animal activity or only a few animals activity in that zone.

[0045] In one optional implementation, noise data of all disinfection zones before spraying can be obtained; based on the average noise value of all disinfection zones and the average noise value of the target disinfection zone, the animal aggregation degree of the target disinfection zone can be determined; if the animal aggregation degree is less than or equal to a preset aggregation degree threshold, the target disinfection zone can be sprayed for the first time.

[0046] It should be understood that "all disinfection zones" refers to all disinfection zones within the livestock shed. Animals in the livestock shed move within these disinfection zones. When the noise level is high in other disinfection zones and low in the target disinfection zone, it indicates that the animals are mainly distributed in other disinfection zones, and the target disinfection zone can be sprayed.

[0047] Optionally, to prevent errors in noise data at a single moment, noise data can be obtained within a preset duration before spraying. This preset duration can be set based on animal activity patterns to ensure that the data reflects the current animal activity state while avoiding changes in state due to excessive duration (for example, it can be 1 minute).

[0048] Optionally, the average noise data of all disinfection zones and the noise data of the target disinfection zone can be calculated separately to obtain the average noise value of all disinfection zones and the average noise value of the target disinfection zone.

[0049] It should be understood that animal aggregation degree represents a state of animal spatial distribution. Here, it specifically refers to the state at the moment the disinfection operation starts. The higher the value, the more likely the target disinfection zone is to have animal aggregation compared to other disinfection zones.

[0050] Optionally, the animal aggregation degree in a disinfection zone satisfies the following formula: in, Disinfection zones Animal aggregation degree Disinfection zones The average noise level, This represents the average noise level across all disinfection zones within the livestock shed. Sensitivity adjustment coefficient ( This is used to control the formula's sensitivity to noise differences. This represents an exponential function with base π / 2. is the base of the natural logarithm.

[0051] Based on this formula, it should be understood that Disinfection zones The difference between the average noise level and the overall average noise level of the disinfection zone directly reflects the noise level of that disinfection zone. The greater the difference between the overall noise level and the ambient noise level, the greater the animal aggregation.

[0052] In this formula, The value of can be determined based on the sensor's measurement range and actual application requirements. For example, assuming the sensor accuracy is ±0.5dB, to reduce the impact of measurement noise, a value of can be taken as . This ensures that when the noise difference reaches 10dB, the aggregation degree is approximately 0.73, close to the preset threshold of 0.7, thereby ensuring the stability of the spraying decision.

[0053] Understandably, if the animal aggregation rate is greater than the preset aggregation rate threshold, it means that there are a lot of animals in the target disinfection zone. Disinfection at this time may cause stress to the animals. Therefore, spraying can be temporarily suspended and reassessed after a few minutes (e.g., 3 minutes).

[0054] It is understandable that if the animal aggregation degree is less than or equal to the preset aggregation degree threshold, it means that there are few animals at this time, and spraying can be carried out. At this time, the target disinfection zone is sprayed for the first time.

[0055] It should be understood that the preset aggregation threshold should be greater than the animal aggregation obtained under the "no animal disturbance baseline state". When Disinfection zones The average noise level is equal to the overall average noise level of the livestock shed, which is considered the "baseline state without animal disturbance." Therefore, the preset clustering threshold should be greater than 0.5.

[0056] For example, the preset aggregation threshold can be set to 0.7.

[0057] The dynamic control unit 103 is used to monitor the dynamic environmental parameters of the target disinfection zone after the initial spraying of the target disinfection zone.

[0058] It should be understood that dynamic environmental parameters refer to real-time parameters within the target disinfection zone that change over time after the initial spraying and may affect the disinfection effect.

[0059] Optionally, the dynamic environmental parameters include the concentration of the active ingredient in the disinfectant and noise data.

[0060] The dynamic control unit 103 is also used to determine the real-time respray necessity parameters of the target disinfection zone based on dynamic environmental parameters.

[0061] It should be understood that under normal circumstances, the evaporation of disinfectant components is slow and uniform, and the concentration of effective ingredients gradually decreases. However, when disturbed (such as by direct sunlight or high ventilation), the effective ingredients evaporate faster, and it is necessary to determine whether to spray again and extend the coating time of the disinfectant solution.

[0062] However, if the disinfection of a target area is insufficient due to frequent animal activity, continuing to increase spraying may lead to increased aspiration of disinfectant, causing severe stress and increasing health risks for the animals. Therefore, it is generally prohibited to continue spraying.

[0063] Optionally, the evaporation rate of the active ingredient in other disinfection zones of the target disinfection zone can be compared to determine whether the active ingredient in the target disinfection zone is evaporating too quickly.

[0064] It should be understood that the real-time respray necessity parameter refers to the judgment index derived from the assessment of dynamic environmental parameters, which characterizes whether the target disinfection zone needs additional respraying.

[0065] In one alternative implementation, the real-time disinfectant concentration difference of the target disinfection zone can be determined based on the lowest decay curve of the effective component concentration of the disinfectant in the target disinfection zone and the effective component concentration of the disinfectant at the current moment; the real-time animal activity probability of the target disinfection zone can be determined based on the noise data; and the real-time respray necessity parameter can be determined based on the real-time relative difference in disinfectant concentration and the real-time animal activity probability.

[0066] Among them, the real-time disinfectant concentration difference is used to characterize the degree of disinfectant concentration decay, and the animal activity probability is used to characterize the risk of animal activity interfering with the spraying.

[0067] It should be understood that the minimum decay curve refers to the curve showing the slowest decrease in the concentration of the effective component of the disinfectant over time, i.e., the lowest evaporation rate, among all disinfection zones.

[0068] Optionally, the evaporation data of the effective components of the disinfectant during historical spraying of all disinfection zones can be obtained. The evaporation rate can be obtained by dividing the concentration change (i.e., the difference between the concentration at the start of spraying and the concentration at the end of spraying) over the time interval. Alternatively, the decay curve of each disinfection zone can be plotted, the slope of each decay curve can be determined, and the decay curve with the lowest slope can be determined as the lowest decay curve.

[0069] Optionally, if other disinfection zones are being disinfected simultaneously in the livestock shed, in the initial stage after spraying (e.g., the first 5 minutes), since the concentration data of each zone is not stable, a minimum decay curve can be established based on the preliminary experimental data. After the data stabilizes, the disinfection zone with the lowest volatilization rate can be determined from the other disinfection zones, and then the subsequent minimum decay curve can be constructed based on that disinfection zone.

[0070] It should be understood that the real-time disinfectant concentration difference of the target disinfection zone is the difference in the concentration of the effective disinfectant component of the target disinfection zone at the current moment compared with the lowest decay rate over the same decay time.

[0071] Optionally, the difference between the concentration of the effective disinfectant component in the target disinfection zone and the concentration of the effective disinfectant component within the same decay time in the lowest decay curve can be determined. Since the range of this difference is uncertain and affects subsequent calculations, this difference can be normalized to obtain the real-time disinfectant concentration difference.

[0072] Alternatively, the same method can be used to obtain the highest decay curve, and then the real-time disinfectant concentration difference can be normalized based on the concentration of the effective disinfectant component within the same decay time in the highest decay curve (i.e., the minimum value) and the concentration of the effective disinfectant component within the same decay time in the lowest decay curve (i.e., the maximum value).

[0073] Optionally, the real-time concentration difference of disinfectant in a disinfection zone satisfies the following formula: in, Disinfection zones exist The real-time difference in disinfectant concentration. Disinfection zones exist The concentration of the active ingredient in the disinfectant at any given time. Indicating the lowest decay curve The concentration of the active ingredient in the disinfectant at any given time. Indicating the highest decay curve The concentration of the effective ingredients in the disinfectant at any given time.

[0074] Optionally, when If the concentration of the effective disinfectant component is the same in all disinfection zones at the same time, and there is no significant environmental difference affecting the disinfection zone, then the disinfection zone can be directly identified. The real-time concentration difference of the disinfectant is 0, so no normalization calculation is required.

[0075] In one alternative implementation, determining the probability of real-time animal activity can specifically involve: dividing the noise data into multiple time windows based on a preset time window to obtain a noise sequence of multiple time windows; determining the average noise value of each time window; determining the number of rising time windows, where the rising time window is a time window whose average noise value is greater than the average noise value of the previous time window; and determining the probability of real-time animal activity based on the number of multiple time windows, the number of rising time windows, the average noise value of the current time window, the maximum value of the average noise value of multiple time windows, and the noise value at the end of the spraying.

[0076] Among them, the multiple time windows include the current time window, and the rising time window is the time window in which the average noise value is greater than the average noise value of the previous time window.

[0077] Optionally, starting from the end time of spraying and ending at the current time, multiple time windows can be obtained by rolling based on the preset time window. Then, noise data of each time window can be extracted and arranged in chronological order to obtain the noise sequence.

[0078] For example, the duration of the preset time window can be set to 1 minute.

[0079] Optionally, the scrolling step size can also be set, such as 30 seconds.

[0080] Optionally, the time window at the end of the spraying is taken as the first time window, and the current time window is taken as the last time window to identify the rising time window.

[0081] It should be noted that, in order to ensure the reliability of real-time animal activity calculations, the number of these multiple time windows should be at least three.

[0082] Optionally, the real-time animal activity probability of a disinfection zone satisfies the formula: in, Disinfection zones exist The possibility of real-time animal activity. Indicates the number of rising time windows. Indicates the number of time windows. express The average noise value within the time window at which the time point is located. This represents the maximum value of the average noise value across multiple time windows. This indicates the noise level at the end of the spray cycle. and Indicates the preset weight. and The sum of them is always equal to 1.

[0083] In this formula, This indicates a gradual increase in animal activity; the higher the ratio, the more pronounced the sustainability of this increased activity. Indicates the magnitude of the change in noise intensity. This represents the absolute increase in noise level compared to the end of the spraying process, reflecting the change in noise intensity caused by animal activity. The denominator is... This is used to achieve normalization, so that the ratio falls within [-1, 1].

[0084] and All are positively correlated with the likelihood of animal activity; that is, the stronger the trend and the greater the increase in intensity, the higher the likelihood of activity. The larger. The closer the value is to 1, the higher the risk of disturbance from animal activity. The closer the value is to 0, the lower the risk. A negative value indicates that noise levels are decreasing and the likelihood of animal activity is extremely low.

[0085] The above-mentioned method for determining the probability of real-time animal activity, by analyzing the upward trend of the average noise value within multiple windows, the current level, and the historical baseline, can dynamically capture the gradual process of animal activity from non-existence to presence and from scarcity to abundance. Based on the noise change pattern over a period of time, it assesses the probability of real-time animal activity, greatly improving the accuracy and reliability of judging the probability of real-time animal activity and reducing the risk of misjudgment.

[0086] It should be understood that the necessity parameter for real-time respraying should be inversely proportional to the likelihood of real-time animal activity and directly proportional to the difference in real-time disinfectant concentration.

[0087] Optionally, the necessity parameter for real-time respraying satisfies the following formula: in, Disinfection zones exist The necessity parameters for real-time respraying. Disinfection zones exist The real-time difference in disinfectant concentration. Disinfection zones exist The possibility of real-time animal activity. This represents an exponential function with base π / 2. is the base of the natural logarithm.

[0088] This formula uses an exponential function. As an inhibitory factor, it achieves smooth regulation of the probability of animal activity. When the probability of animal activity is positive, the exponent is greater than 1, and the necessity parameter for real-time respraying is suppressed; when the probability of animal activity is negative, the exponent is less than 1, and the necessity parameter for real-time respraying is amplified. Since the exponential function's range is always positive, it avoids the numerical instability caused by a zero or negative denominator, while maintaining the reasonable relationship that the necessity parameter for real-time respraying decreases monotonically with the probability of animal activity. The above method for determining the necessity parameter for real-time respraying accurately identifies the problem of insufficient disinfection caused by the decay of disinfectant components and can distinguish the interference risk brought by animal activity, providing a comprehensive and reliable basis for respraying decisions and avoiding blind respraying or missed spraying.

[0089] The control unit 102 is used to generate respray control commands based on real-time respray necessity parameters to perform supplementary spraying on the target disinfection zone.

[0090] It should be understood that the real-time respray necessity parameter can be used to determine whether respraying is needed: if the real-time respray necessity parameter is less than or equal to the necessity threshold, it is determined that respraying is not needed; if the real-time respray necessity parameter is greater than the necessity threshold, it is determined that respraying is needed, and thus the duration of respraying is determined.

[0091] For example, the necessity threshold could be 0.3.

[0092] In one alternative implementation, if the real-time respray necessity parameter is greater than the necessity threshold, the target supplementary spraying duration can be determined based on the real-time respray necessity parameter and the minimum supplementary spraying duration; and the respraying control command can be generated based on the target supplementary spraying duration.

[0093] Optionally, the target supplemental spray duration satisfies the following formula: in, Disinfection zones exist The target is to replenish the spraying time at all times. Indicates the minimum supplemental spraying time. Disinfection zones exist The necessity parameters for real-time respraying.

[0094] In this formula, the product of the minimum supplemental spraying time and the real-time respraying necessity parameter is determined as the additional spraying time. The target supplemental spraying time is obtained by adding this additional spraying time to the minimum supplemental spraying time.

[0095] For example, the minimum supplemental spray duration can be set to 5 seconds.

[0096] In one alternative implementation, the target total spraying time can be determined based on the target supplementary spraying time and the theoretical spraying disinfection time; if the target total spraying time is less than the upper limit of the total disinfection time for a single operation, the operation of generating the respraying control instruction is performed, and the respraying control instruction includes the target supplementary spraying time.

[0097] The respray control instruction should include the target respray duration and the identification of the target disinfection zone.

[0098] It should be understood that there may be multiple supplementary sprays within a single disinfection cycle, i.e., multiple targets requiring additional spraying time. The total spraying time for the target can be determined by summing the supplementary spraying time for all targets with the theoretical spraying disinfection time.

[0099] Understandably, setting a maximum limit on the total duration of a single disinfection session is to avoid excessive waste caused by continuous spraying.

[0100] For example, the maximum total time for a single disinfection session can be set to 3 minutes.

[0101] For example, the disinfection cycle can be set to 6-7 am, 13-14 pm, etc. daily.

[0102] Optionally, the upper limit of disinfectant usage can be determined by combining the area of ​​the disinfection zone and the spray flow rate. For example, twice the amount required for the theoretical spray disinfection time can be used to determine the current amount of disinfectant used. If the current amount of disinfectant used is less than the upper limit of disinfectant usage, the operation of generating the respray control command can be performed.

[0103] The automated feedback control system for disinfection duration in livestock sheds provided in this application first calculates the theoretical spray disinfection duration based on static parameters, providing a scientific basis for the initial spray. Then, the dynamic control unit monitors dynamic environmental parameters in real time and determines the necessity of real-time re-spraying. Finally, the control unit executes supplementary spraying, forming a complete control process of "static modeling - initial spraying - dynamic monitoring - on-demand re-spraying". This effectively solves the problem of lack of dynamic adaptability in existing disinfection methods, improves the resource utilization rate of disinfectant while ensuring the effectiveness of disinfection, and enhances the intelligence and precision of livestock shed disinfection.

[0104] Combination Figure 1 ,like Figure 3 As shown, when the above-mentioned theoretical duration determination unit 101 determines the theoretical spray disinfection duration of the target disinfection zone, it can be specifically achieved by executing S201-S203.

[0105] S201. Determine the initial spraying duration based on the performance parameters of the disinfectant and the efficiency parameters of the spraying device.

[0106] Based on the description of the above embodiments, it should be understood that the performance parameters of the disinfectant include the disinfection efficacy constant and the concentration of the active ingredient, and the performance parameters of the spraying device include the unit coverage efficacy and the unit coverage area. In an optional implementation, the duration of action of the disinfectant under standard conditions can be determined based on the disinfection efficacy constant and the concentration of the active ingredient, and then the duration of action can be converted into the initial spraying duration based on the unit coverage efficacy and the unit coverage area.

[0107] It should be understood that the disinfection efficacy constant is used to characterize the inherent bactericidal efficacy of the disinfectant. It is the product of the concentration of the effective component of the disinfectant and the duration of action required to achieve the predetermined bactericidal effect under standard test conditions. This value is determined by measuring the duration of action of the disinfectant at multiple different concentration gradients and calculating the average value of the product of concentration and each duration of action.

[0108] The concentration of active ingredient refers to the concentration of the active ingredient that actually has a bactericidal effect in the disinfectant solution.

[0109] It is understandable that the concentration of the active ingredient, the disinfection efficacy constant, and the duration of action satisfy the disinfection kinetic model.

[0110] Optionally, the disinfection kinetic model satisfies the following mathematical formula: in, Indicates the concentration of the active ingredient. Indicates duration of action. This represents the disinfection efficiency constant.

[0111] Therefore, based on this disinfection kinetic model, disinfection efficacy constant, and active ingredient concentration, the duration of action can be determined.

[0112] It should be understood that unit coverage efficiency is an engineering calibration parameter. Its physical meaning is: under standard spray pressure and flow rate, the equivalent area corresponding to the formation and maintenance of an effective bactericidal film thickness on a unit area (e.g., 1 square meter) of the working surface by the spray system. This parameter comprehensively reflects the adhesion characteristics of the disinfectant, the atomization effect of the spray head, and the system pressure, etc., and its dimension is area.

[0113] Optionally, the unit coverage efficiency can be obtained through experimental calibration: Under standard conditions, a test area of ​​known area is sprayed with rated flow rate, the spraying time is recorded, and the effective duration of the pesticide film after spraying is measured. The ratio between the effective duration and the spraying time reflects the conversion relationship between the spraying time and the pesticide film duration. The product of this ratio and the coverage area is the unit coverage efficiency.

[0114] Unit coverage area refers to the average area of ​​disinfection that each spray head can effectively cover within the target disinfection zone. This parameter is determined by the installation height of the spray head, the spray angle, and the layout of the zones.

[0115] Optionally, a spray time-disinfectant film duration conversion coefficient can be determined for the spray system in the target disinfection zone based on unit coverage efficiency and unit coverage area. This coefficient is equal to the ratio of unit coverage efficiency to unit coverage area, and its physical meaning is: the multiple of the disinfectant film duration that can be generated per unit spray time; it is a dimensionless proportionality coefficient. This coefficient comprehensively reflects the combined influence of the inherent performance of the spray system and the spatial scale of the zone on spray efficiency.

[0116] Optionally, the duration of action under standard conditions can be divided by the spray time-film duration conversion factor to obtain the initial spray time required to achieve theoretical sterilization.

[0117] Optionally, the initial spraying duration satisfies the following formula: in, Indicates the use of disinfectant Disinfection zones The initial spraying duration during spraying. Disinfectant The disinfection efficacy constant, Disinfectant The concentration of the effective ingredient It represents the coverage efficiency per unit area (measured in area). Disinfection zones unit coverage area Indicates duration of action. This represents the conversion coefficient between spraying time and film duration.

[0118] The above method for determining the initial spraying time first determines the duration of action under standard conditions based on the disinfection efficacy constant and the concentration of effective ingredients, and then converts it into the initial spraying time by combining the unit coverage efficacy and unit coverage area. This achieves a precise conversion from the essential sterilization requirement of disinfectant to the actual operating time of spraying equipment, ensuring that the initial spraying time is highly matched with the disinfection target and equipment capacity.

[0119] S202. Determine the environmental impact coefficient based on static environmental parameters.

[0120] It should be understood that the static environmental parameters include parameter values ​​of at least one parameter type, such as temperature, humidity, ammonia concentration, etc.

[0121] In one alternative implementation, the adjustment factor for each parameter type can be determined based on the parameter value of each parameter type and the corresponding influence curve for each parameter type; the product of the adjustment factors of at least one parameter type is determined as the environmental impact coefficient.

[0122] It should be understood that an influence curve characterizes the multiplication or reduction effect of a parameter value change on the time required for disinfection.

[0123] For example, the ammonia concentration in the static environmental parameters is used to indirectly characterize the organic pollution load of the target disinfection zone. Ammonia in livestock houses mainly comes from the decomposition of organic matter such as animal feces and urine. The higher the ammonia concentration, the more organic matter remains. Organic matter consumes the effective components of disinfectant and hinders its contact with pathogens. Therefore, it is necessary to extend the spraying time through adjustment factors to compensate for the disinfection effect.

[0124] Optionally, an influence curve for each parameter type can be generated based on a preliminary experiment. Specifically, while keeping other variables constant, the parameter value of a specific type of parameter is changed (e.g., different ammonia concentration gradients are set), and the time required to achieve the same sterilization effect (e.g., a colony mortality rate greater than 99.9%) is measured. Then, the parameter value is plotted on the x-axis, and the ratio of the measured time to the time required under standard reference conditions (e.g., a clean laboratory environment) is plotted on the y-axis. A continuous influence curve is then generated using curve fitting (e.g., polynomial fitting, spline interpolation).

[0125] Optionally, the parameter value of each parameter type in the static environmental parameters can be input into the corresponding influence curve, and its ordinate value can be determined as the adjustment factor of that parameter type.

[0126] It should be understood that the adjustment factor is a dimensionless multiple. When the adjustment factor is equal to 1, it means that the current parameter value is under the standard reference conditions and no correction is needed. If it is greater than 1, it means that the current environmental conditions are worse than the standard conditions and the spraying time needs to be extended to compensate for the decrease in disinfection efficiency. If it is less than 1, it means that the current environmental conditions are better than the standard conditions and the spraying time can be appropriately shortened.

[0127] It is understandable that the environmental impact coefficient is a comprehensive correction multiplier, which comprehensively reflects the combined impact of multiple static environmental factors on disinfection efficiency. When its value is equal to 1, it indicates that the comprehensive environmental impact is neutral; when it is greater than 1, it indicates that the overall environment is not conducive to disinfection and the disinfection time needs to be extended; when it is less than 1, it indicates that the overall environment is favorable and the disinfection time can be shortened.

[0128] It should be understood that since the interference of various environmental factors on the disinfection process is usually independent and the effects are superimposed, for example, high temperature accelerates volatilization (which may require shortening the time) and high pollutant load consumes disinfectant (which requires extending the time) and will coexist and jointly affect the final result. Therefore, using a multiplicative rather than additive approach for at least one regulating factor can better simulate this multi-factor coupling effect.

[0129] S203. Based on the environmental impact coefficient, the initial spraying time is corrected to obtain the theoretical spraying disinfection time.

[0130] Optionally, the product of the environmental impact coefficient and the initial spraying duration can be used to determine the theoretical spraying disinfection duration.

[0131] Based on the methods for determining the theoretical spray disinfection time provided in S201-S203 above, the initial spray time under standard conditions is first calculated based on the performance parameters of the disinfectant (characterizing sterilization ability) and the efficiency parameters of the spray device (characterizing spray efficiency) to ensure that the time has basic sterilization ability. Then, the initial time is corrected by the environmental influence coefficient to make the time adapt to the actual environmental conditions, which solves the problem of unstable disinfection effect caused by environmental differences and improves the accuracy of the theoretical spray disinfection time.

[0132] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0133] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. An automated feedback control system for disinfection duration in livestock sheds of a ranch, characterized in that, The system includes a theoretical duration determination unit, a control unit, and a dynamic control unit; The theoretical duration determination unit is used to determine the theoretical spray disinfection duration of the target disinfection zone based on the static environmental parameters, disinfectant performance parameters, and spray device efficiency parameters of the target disinfection zone in the livestock house. The control unit is used to perform an initial spray on the target disinfection zone based on the theoretical spray disinfection duration. The dynamic control unit is used to monitor the dynamic environmental parameters of the target disinfection zone after the initial spraying of the target disinfection zone. The dynamic control unit is also used to determine the real-time respray necessity parameters of the target disinfection zone based on the dynamic environmental parameters. The control unit is also used to generate a respray control command based on the real-time respray necessity parameter, so as to perform supplementary spraying on the target disinfection zone.

2. The automated feedback control system for disinfection duration in livestock sheds of a pasture according to claim 1, characterized in that, The theoretical duration determination unit is specifically used for: The initial spraying duration is determined based on the performance parameters of the disinfectant and the efficiency parameters of the spraying device. Based on the aforementioned static environmental parameters, the environmental impact coefficient is determined; The initial spraying duration is corrected based on the environmental impact coefficient to obtain the theoretical spraying disinfection duration.

3. The automated feedback control system for disinfection duration in livestock sheds according to claim 2, characterized in that, The disinfectant performance parameters include disinfection efficacy constant and active ingredient concentration; the spray device performance parameters include unit coverage efficacy and unit coverage area; and the theoretical duration determination unit is specifically used for: Based on the disinfection efficacy constant and the concentration of the active ingredient, the duration of action of the disinfectant under standard conditions is determined; Based on the unit coverage efficiency and the unit coverage area, the duration of action is converted into the initial spraying duration.

4. The automated feedback control system for disinfection duration in livestock sheds according to claim 2, characterized in that, The static environment parameters include parameter values ​​of at least one parameter type, and the theoretical duration determination unit is specifically used for: Based on the parameter values ​​for each parameter type and the corresponding influence curve for each parameter type, determine the adjustment factor for each parameter type; The environmental impact coefficient is determined by multiplying the adjustment factors of at least one parameter type.

5. The automated feedback control system for disinfection duration in livestock sheds of a pasture according to claim 1, characterized in that, The control unit is specifically used for: Obtain noise data for all disinfection zones before spraying; Based on the average noise value of all disinfection zones and the average noise value of the target disinfection zone, the animal aggregation degree of the target disinfection zone is determined; If the animal aggregation degree is less than or equal to a preset aggregation degree threshold, the target disinfection zone is sprayed for the first time.

6. The automated feedback control system for disinfection duration in livestock sheds according to claim 1, characterized in that, The dynamic environmental parameters include the concentration of the effective components of the disinfectant and noise data. The dynamic control unit is specifically used for: Based on the lowest decay curve of the effective component concentration of the disinfectant in the target disinfection zone and the current concentration of the effective component of the disinfectant, the real-time disinfectant concentration difference of the target disinfection zone is determined, and the real-time disinfectant concentration difference is used to characterize the degree of decay of the disinfectant concentration. Based on the noise data, the real-time probability of animal activity in the target disinfection zone is determined, and the probability of animal activity is used to characterize the risk of interference from animal activity to the spraying. The necessity parameters for real-time respraying are determined based on the relative differences in real-time disinfectant concentration and the probability of real-time animal activity.

7. The automated feedback control system for disinfection duration in livestock sheds according to claim 6, characterized in that, The dynamic control unit is specifically used for: The noise data is divided based on a preset time window to obtain a noise sequence of multiple time windows, including the current time window. Determine the average noise value for each time window; Determine the number of rise time windows, where each rise time window is a time window in which the average noise value is greater than the average noise value of the previous time window. The probability of real-time animal activity is determined based on the number of multiple time windows, the number of rising time windows, the average noise value of the current time window, the maximum value of the average noise value across multiple time windows, and the noise value at the end of the spraying process.

8. The automated feedback control system for disinfection duration in livestock sheds of a pasture according to claim 1, characterized in that, The control unit is specifically used for: If the real-time respray necessity parameter is greater than the necessity threshold, the target supplementary spraying time is determined based on the real-time respray necessity parameter and the minimum supplementary spraying time. The respray control command is generated based on the target supplementary spray duration.

9. The automated feedback control system for disinfection duration in livestock sheds according to claim 8, characterized in that, The control unit is specifically used for: Based on the target supplementary spraying time and the theoretical spraying disinfection time, the target total spraying time is determined; The operation of generating the re-spray control command when the total spraying time of the target is less than the upper limit of the total disinfection time of a single disinfection is performed. The re-spray control command includes the target supplementary spraying time.

10. The automated feedback control system for disinfection duration in livestock sheds of a pasture according to claim 1, characterized in that, The system further includes a data acquisition unit, the data acquisition unit being used for: A first type of sensor is deployed on the ground layer of the target disinfection zone to collect the concentration of the effective components of the disinfectant and static environmental parameters based on the first type of sensor; A second type of sensor is deployed in the animal activity layer of the target disinfection zone, and noise data is collected based on the second type of sensor.

Images