Intelligent monitoring method and system for breeding duck farming environment

Abstract

The present invention relates to the field of breeding duck farming monitoring, and more specifically to a method and system for intelligent monitoring of a breeding duck farming environment. The system first obtains in real time the concentration data of different gases at different monitoring points in a breeding duck farm, as well as the temperature data, humidity data, and noise intensity of the monitoring points. Based on the temperature and humidity data of the monitoring points at the current moment, the distribution of the noise intensity of each monitoring point at the current moment, and the distribution of the noise intensity of the monitoring point in a reference time period, the system obtains the duck flock activity density at each monitoring point at the current moment, analyzes the airflow intensity and airflow direction at each monitoring point at the current moment, and combines the concentration data of various gases at each monitoring point at the current moment to obtain the environmental pollution accumulation coefficient at the current moment, and provides real-time early warning of the environment of the breeding duck farm. The present invention can effectively monitor the local accumulation of harmful gases in the breeding duck farm, thereby improving the accuracy of breeding duck farming environment monitoring.

Description

Technical Field

[0001] The present invention relates to the field of breeding duck farming monitoring, and in particular to an intelligent monitoring method and system for breeding duck farming environment. Background Art

[0002] With the rapid development of modern livestock and poultry farming, breeding ducks, as an important breed in poultry farming, have production performance and reproductive benefits that are directly related to the efficiency level of the downstream meat duck and laying duck industry chain. Environmental factors (such as temperature, humidity, ammonia concentration, light intensity, carbon dioxide concentration, noise level, etc.) have a significant impact on the growth and development, egg production rate, fertilization rate and survival rate of breeding ducks. With the rapid development of Internet of Things technology, it has become possible to realize intelligent, precise and automated monitoring of the breeding environment.

[0003] In winter or during the duckling brooding period, the breeding house needs to reduce ventilation to maintain the temperature, but this will reduce the harmful gases (such as ) exhaust efficiency. Under the action of the internal air circulation system, the ventilation system may form internal vortices, resulting in uneven gas distribution. However, the current monitoring alarm thresholds are mostly based on acute poisoning standards and the average concentration of harmful gases, and cannot effectively monitor the local accumulation of harmful gases in breeding duck farms, thereby reducing the accuracy of breeding duck breeding environment monitoring. Summary of the Invention

[0004] In order to solve the technical problem that the current monitoring alarm thresholds are mostly based on acute poisoning standards and the average concentration of harmful gases, which cannot effectively monitor the local accumulation of harmful gases in breeding duck farms, thereby reducing the accuracy of breeding duck breeding environment monitoring, the purpose of the present invention is to provide an intelligent monitoring method and system for breeding duck breeding environment. The technical solutions adopted are as follows:

[0005] The present invention proposes an intelligent monitoring method for breeding duck farming environment, which includes:

[0006] Real-time acquisition of concentration data of different gases at different monitoring points in the breeding duck farm at each moment within a preset time period, as well as temperature data, humidity data and noise intensity data at each monitoring point;

[0007] The preset time period is divided into multiple monitoring stages, the monitoring stage at the current moment is taken as the current monitoring stage, the time period before the current moment in the current monitoring stage is taken as the reference period at the current moment, and the stage progress coefficient at the current moment is obtained according to the length difference between the reference period and the current monitoring stage; any monitoring point is taken as the target monitoring point, and the duck activity density of the target monitoring point at the current moment is obtained according to the difference in temperature data and humidity data between the target monitoring point at the current moment and the adjacent previous moment, the distribution of noise intensity data of all monitoring points at the current moment, and the distribution of the difference in noise intensity data changes at adjacent moments in the reference period at the target monitoring point;

[0008] Based on the location distribution of each monitoring point in the farm, the difference in concentration data of the same gas at each moment in the reference period between the target monitoring point and other monitoring points, as well as the stage progress coefficient and the activity density of the duck flock, the airflow intensity and airflow direction at the target monitoring point at the current moment are obtained; based on the airflow intensity and airflow direction at each monitoring point at the current moment, and the concentration data of various gases at each monitoring point at the current moment, the environmental pollution accumulation coefficient at the current moment is obtained;

[0009] Based on the environmental pollution accumulation coefficient, a real-time early warning is provided for the environment of the breeding duck farm.

[0010] Furthermore, obtaining the stage progress coefficient at the current moment includes:

[0011] The length of the reference period at the current time point is used as the numerator, the length of the current monitoring stage is used as the denominator, and the ratio is used as the stage progress coefficient at the current moment.

[0012] Furthermore, obtaining the duck flock activity density at the target monitoring point at the current moment includes:

[0013] According to the difference in temperature data and humidity data between the target monitoring point at the current moment and the adjacent previous moment, and the temperature data and humidity data of the target monitoring point at the current moment, the first duck flock aggregation degree of the target monitoring point at the current moment is obtained;

[0014] The noise intensity data of the target monitoring point at all moments in the reference period are fitted to obtain a noise intensity fitting curve of the target monitoring point in the reference period, the discrete degree of the absolute value of the slope of all two adjacent moments on the noise intensity fitting curve is analyzed to obtain the noise change disorder of the target monitoring point in the reference period, and the product value of the noise change disorder of the target monitoring point in the reference period and the noise intensity data of the target monitoring point at the current moment is used as the second duck flock aggregation degree of the target monitoring point at the current moment;

[0015] After analyzing the discrete degree of the noise intensity data of all monitoring points at the current moment and performing normalization processing, the noise distribution concentration at the current moment is obtained;

[0016] Based on the calculation formula of duck flock activity density, the duck flock activity density at the target monitoring point at the current moment is obtained. The calculation formula of the duck flock activity density is:

[0017]

[0018] in, Indicates the duck activity density at the target monitoring point at the current moment; Indicates the first duck flock aggregation degree of the target monitoring point at the current moment; Indicates the aggregation degree of the second duck group at the target monitoring point at the current moment; Indicates the concentration of noise distribution at the current moment.

[0019] Furthermore, obtaining the first duck flock aggregation degree of the target monitoring point at the current moment includes:

[0020] Taking the difference between the temperature data of the target monitoring point at the current moment and the temperature data of the previous moment as the temperature variation of the target monitoring point at the current moment, and synthesizing the temperature data of the target monitoring point at the current moment and the temperature variation to obtain the temperature characteristic value of the target monitoring point at the current moment;

[0021] The difference between the humidity data of the target monitoring point at the current moment and the adjacent previous moment is used as the humidity change of the target monitoring point at the current moment, and the humidity data of the target monitoring point at the current moment and the humidity change are integrated to obtain the humidity characteristic value of the target monitoring point at the current moment;

[0022] The average value of the temperature characteristic value and the humidity characteristic value is used as the first duck flock aggregation degree of the target monitoring point at the current moment.

[0023] Furthermore, obtaining the airflow intensity and airflow direction of the target monitoring point at the current moment includes:

[0024] The area of ​​the breeding duck farm is used as the numerator, the number of monitoring points is used as the denominator, and the ratio is used as the unit coverage area value; with the target monitoring point as the center, a circular area with an area equal to the unit coverage area value is used as the adjacent area of ​​the target monitoring point; in the adjacent area, adjacent monitoring points of the target monitoring point are selected from other monitoring points except the target monitoring point, wherein no monitoring points exist on the line connecting the adjacent monitoring points and the target monitoring point;

[0025] Take any adjacent monitoring point of the target monitoring point as the target adjacent monitoring point, use the dynamic time warping algorithm to match the concentration data of the same gas at each moment of the reference period between the target monitoring point and the target adjacent monitoring point, and use the difference between each gas at each moment of the reference period and the time of the target adjacent monitoring point matched at that moment as the time difference of each gas at the target monitoring point at each moment of the reference period with respect to the target adjacent monitoring point;

[0026] According to the time difference of each gas at the target monitoring point with respect to each adjacent monitoring point at each moment of the reference period, the gas flow direction monitoring point of the target monitoring point at the current moment is screened out from all adjacent monitoring points, and the target monitoring point is pointed in the direction of the gas flow direction monitoring point as the gas flow direction of the target monitoring point at the current moment;

[0027] According to the changes in the concentration data of each gas at the target monitoring point at each moment in the reference time period, the time difference of each gas at the target monitoring point at each moment in the reference time period with respect to the gas flow monitoring point, the distance between the target monitoring point and the gas flow monitoring point, and the stage progress coefficient of the target monitoring point at the current moment and the duck flock activity density, the airflow intensity of the target monitoring point at the current moment is obtained.

[0028] Furthermore, the gas flow direction monitoring point of the target monitoring point at the current moment includes:

[0029] The average of the time differences of each gas at the target monitoring point with respect to each adjacent monitoring point at all times during the reference period is used as the overall time difference of each gas at the target monitoring point with respect to each adjacent monitoring point during the reference period;

[0030] Selecting candidate monitoring points of the target monitoring point from all adjacent monitoring points of the target monitoring point, wherein the overall time differences of various gases at the target monitoring point with respect to the candidate monitoring points during the reference period are all negative;

[0031] Averaging the absolute values ​​of the time differences of each gas at the target monitoring point at all two adjacent moments in the reference period with respect to each candidate monitoring point to obtain an initial screening value of each gas at the target monitoring point with respect to each candidate monitoring point in the reference period, and taking the average of the initial screening values ​​of all gases at the target monitoring point with respect to each candidate monitoring point in the reference period as the final screening value of the target monitoring point with respect to each candidate monitoring point in the reference period;

[0032] The candidate monitoring point corresponding to the minimum value of the final screening value is used as the gas flow direction monitoring point of the target monitoring point at the current moment.

[0033] Furthermore, obtaining the airflow intensity of the target monitoring point at the current moment includes:

[0034] Performing curve fitting on the concentration data of each gas at the target monitoring point at each moment of the reference period to obtain a concentration fitting curve of each gas at the target monitoring point;

[0035] The average of the absolute values ​​of the slopes of the concentration fitting curves of all gases at the target monitoring point at the current moment is used as the overall gas concentration change degree of the target monitoring point at the current moment;

[0036] The distance between the target monitoring point and the gas flow monitoring point is used as the numerator, the average value of the time difference of all gases at the target monitoring point at all times during the reference period with respect to the gas flow monitoring point is used as the denominator, and the ratio is used as the airflow velocity parameter of the target monitoring point at the current moment;

[0037] Combining the overall gas concentration change and the airflow velocity parameter to obtain the airflow coefficient of the target monitoring point at the current moment;

[0038] Based on the calculation formula of airflow intensity, the airflow intensity of the target monitoring point at the current moment is obtained. The calculation formula of airflow intensity is:

[0039]

[0040] in, Indicates the airflow intensity at the target monitoring point at the current moment; Indicates the progress coefficient of the target monitoring point at the current moment; Indicates the duck flock activity density at the target monitoring point at the current moment; Indicates the airflow coefficient of the target monitoring point at the current moment.

[0041] Furthermore, obtaining the environmental pollution accumulation coefficient at the current moment includes:

[0042] The average value of the concentration data of all gases at the target monitoring point at the current moment is taken as the overall gas concentration level at the target monitoring point at the current moment;

[0043] The angle between the airflow direction and the horizontal direction at the target monitoring point at the current moment is used as the airflow angle of the target monitoring point at the current moment, the average of the airflow angles of all monitoring points at the current moment is used as the overall airflow angle at the current moment, and the absolute value of the difference between the airflow angle at the target monitoring point at the current moment and the overall airflow angle is used as the airflow direction deviation of the target monitoring point at the current moment;

[0044] The airflow direction deviation and the airflow intensity of the target monitoring point at the current moment are integrated and negatively correlated to obtain the airflow retention degree of the target monitoring point at the current moment;

[0045] Combining the overall gas concentration level and the airflow retention degree at the target monitoring point at the current moment to obtain the airflow concentration degree at the target monitoring point at the current moment;

[0046] The average value of the airflow concentration of all monitoring points at the current moment is normalized to obtain the environmental pollution accumulation coefficient at the current moment.

[0047] Furthermore, the real-time monitoring of the environment of the breeding duck farm includes:

[0048] If the environmental pollution accumulation coefficient at the current moment is greater than the preset pollution threshold, an environmental pollution alarm message is issued.

[0049] The present invention also proposes an intelligent monitoring system for a breeding environment for breeding ducks. The system includes a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, it implements any one of the steps of an intelligent monitoring method for a breeding environment for breeding ducks.

[0050] The present invention has the following beneficial effects:

[0051] The present invention proposes an intelligent monitoring method and system for a breeding duck environment for breeding ducks. By deploying multiple high-precision sensors in the breeding duck breeding environment, breeding duck breeding environment data is continuously collected, and the preset time period is segmented according to key breeding events to obtain several monitoring stages, and the stage progress index at the current moment is determined. According to the change of the sensor data of each monitoring point, the duck activity density at each monitoring point at the current moment is analyzed. Combined with the data change characteristics of each monitoring point, the air flow characteristics of the breeding house at each monitoring point are evaluated, including the airflow direction and airflow intensity. Combined with the air flow characteristics of each monitoring point, the environmental pollution accumulation coefficient of the breeding farm is analyzed to reflect the severity of the harmful gas accumulation phenomenon in the internal environment of the breeding duck farm. Then, based on the environmental pollution accumulation index, the environment of the breeding duck farm is monitored in real time, so that the local accumulation of harmful gases in the breeding duck farm can be effectively monitored. By analyzing the data change characteristics between the monitoring points, this method improves the perception ability of the breeding environment monitoring system of the local accumulation of harmful gases in the breeding duck farm, and improves the accuracy of the breeding duck breeding environment monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0053] Figure 1 A flow chart of an intelligent monitoring method for a breeding environment for breeding ducks provided by one embodiment of the present invention;

[0054] Figure 2 A schematic diagram of the location distribution of monitoring points in a breeding duck farm provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0055] To further illustrate the technical means and effects of the present invention to achieve the intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effects of an intelligent monitoring method and system for a breeding duck breeding environment proposed by the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable form.

[0056] Unless defined otherwise, 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 invention belongs.

[0057] The specific scheme of the intelligent monitoring method and system for breeding duck breeding environment provided by the present invention is described in detail below with reference to the accompanying drawings.

[0058] See also Figure 1 , which shows a flow chart of an intelligent monitoring method for breeding duck farming provided by one embodiment of the present invention, the method comprising:

[0059] Step S1: Real-time acquisition of concentration data of different gases at different monitoring points in a breeder duck farm at each moment within a preset time period, as well as temperature data, humidity data, and noise intensity data of the monitoring points at each moment.

[0060] In order to realize intelligent monitoring of the breeding duck breeding environment, it is necessary to collect a variety of data on the breeding duck breeding environment. During the breeding process of breeding ducks, breeding ducks are very sensitive to changes in the breeding environment. A suitable and stable environment is the key to ensuring the health of breeding ducks, improving reproductive performance (such as egg production rate, fertilization rate, hatching rate, etc.) and reducing the death and culling rate.

[0061] In intensive farming, the metabolic rate of ducks is affected by factors such as seasonal changes, ventilation systems, stocking density, and manure treatment. 、 The concentration of pollutants such as dust is prone to exceed the standard, and breeder ducks are more sensitive to environmental anomalies (such as sudden temperature drops and increased ammonia concentrations), which can easily lead to decreased egg production, reduced fertilization rates, and increased morbidity rates. Because the embodiment of the present invention first deploys multiple monitoring points in the breeder duck breeding site, among which, it should be ensured that at least 2 groups of monitoring points are arranged within every 100 square meters to ensure that there are no blind spots in environmental monitoring. More monitoring points are deployed in the air inlet, exhaust outlet, manure area, duck activity intensive area, and central axis area. Please refer to Figure 2 , which shows a schematic diagram of the location distribution of various monitoring points in a breeding duck farm provided by an embodiment of the present invention.

[0062] Then, multiple sensors are installed at each monitoring point to collect real-time concentration data of different gases at each monitoring point at each moment within a preset time period, as well as temperature data, humidity data, and noise intensity data of the monitoring point at each moment. The gases collected in the embodiment of the present invention are harmful gases in the farm, such as carbon dioxide, ammonia, and hydrogen sulfide. In one embodiment of the present invention, the preset time period is set to 1 day, and the specific value of the preset time period can also be set by the implementer according to the specific implementation scenario, which is not limited here.

[0063] It should be noted that since the dimensions of the data are different, in order to facilitate the calculation and analysis in subsequent steps, the various collected data need to be standardized to eliminate the dimensional impact. Among them, data standardization is a technical means well known to technical personnel in this field and will not be elaborated here.

[0064] Step S2: Divide the preset time period into multiple monitoring stages, take the monitoring stage at the current moment as the current monitoring stage, take the time period before the current moment in the current monitoring stage as the reference time period at the current moment, and obtain the stage progress coefficient at the current moment based on the length difference between the reference time period and the current monitoring stage; take any monitoring point as the target monitoring point, and obtain the duck activity density of the target monitoring point at the current moment based on the difference in temperature data and humidity data between the current moment and the adjacent previous moment, the distribution of noise intensity data of all monitoring points at the current moment, and the distribution of the difference in noise intensity data changes at adjacent moments in the reference time period at the target monitoring point.

[0065] In the breeding duck house environment, when the ventilation system is running, harmful gases are discharged to the outside of the house with the air flow. When the air exchange inside and outside the breeding house is reduced for warmth or other purposes, the harmful gases circulate in the house, causing the harmful gas values ​​detected by the monitoring equipment to continue to fluctuate. However, due to the internal circulation of air, the concentration has never exceeded the set threshold. Although no alarm is triggered, the continuous accumulation and dynamic fluctuation of harmful gases in this state still pose a potential threat to the safety of the breeding duck breeding environment and the health of the breeding ducks. Therefore, it is necessary to analyze the current local accumulation characteristics of harmful gases in combination with the changing characteristics of the current breeding duck house sensor monitoring data.

[0066] The embodiment of the present invention first divides the preset time period into stages according to the key breeding events in the current breeding house. The key events specifically refer to events that may affect the activities of the duck group and thus cause the air quality to deteriorate. Among them, the digestive system of the breeding duck operates relatively fast. The ducks start to defecate about 2 hours after the chyme enters the intestine, and basically complete the digestion and emptying within 4 hours. Especially after concentrated feeding, they will enter the peak period of defecation. Therefore, the time point of each feeding start can be used as the segmentation point of the preset time point. In addition, after the lights are turned off at night, the activities of the duck group gradually decrease and they enter a resting state. The amount of water they drink decreases, and their metabolism and digestion speed decreases. They usually defecate after waking up in the morning. The ducks produce relatively formed feces, therefore, the lights-out time and lights-on time of the farm can be used as segmentation points for the preset time points. In addition, in addition to the time when the breeding ducks defecate intensively, cleaning the breeding house is also one of the important factors affecting the breeding house environment. The factor affecting the air quality of the breeding duck breeding house is mainly the breeding duck feces. Therefore, the time point of each cleaning of the breeding house should also be used as the segmentation point of the detection data. Therefore, the preset time period can be segmented using the above-selected segmentation points. The time period between two adjacent segmentation points can be considered as a monitoring stage. By segmenting the preset time period, the accuracy and pertinence of environmental monitoring can be improved.

[0067] When there is less air exchange inside and outside the farm, in order to accurately assess the air pollution situation at the current moment, we cannot rely solely on instantaneous readings. Since harmful gases are easy to accumulate, the current situation is the result of the combined effects of pollutant generation, accumulation and limited removal in the past period of time. A comprehensive analysis should be conducted in combination with the changing trends of the environmental parameters of the farm over the past period of time. Therefore, the monitoring stage at the current moment can be used as the current monitoring stage, and the time period before the current moment in the current monitoring stage can be used as the reference period for the current moment. It should be noted that in order to ensure that the reference period contains enough data for subsequent analysis, the current moment should not be too close to the starting moment of the current monitoring stage. For example, in one embodiment of the present invention, the analysis can start from the 10th moment of the current monitoring stage, which is not limited here.

[0068] Since the change characteristics of various data collected by sensors are different in the monitoring stages corresponding to different key breeding events, for example, in the monitoring stage corresponding to feeding, the carbon dioxide concentration first increases due to the accelerated breathing and excretion caused by eating, and then the concentrations of ammonia and hydrogen sulfide gradually increase. Therefore, the embodiment of the present invention first obtains the stage progress coefficient at the current moment based on the length difference between the reference time period and the current monitoring stage, and evaluates the time progress of the current moment in the monitoring stage through the stage progress coefficient. The larger the stage progress coefficient, the more complete the change characteristics of the monitoring stage data that can be reflected at the current moment.

[0069] Preferably, in one embodiment of the present invention, the method for obtaining the stage progress coefficient at the current moment specifically includes:

[0070] The length of the reference period at the current time point is used as the numerator, the length of the current monitoring stage is used as the denominator, and the ratio is used as the stage progress coefficient at the current moment.

[0071] The harmful gases in breeding duck farms are mainly affected by the activities of ducks. When analyzing the local accumulation characteristics of harmful gases, it is first necessary to analyze the activity density of ducks in breeding duck farms in the past period of time. The activity density of ducks, that is, the degree of aggregation of ducks, has a close and mutually influential relationship with the monitoring data of the local environment. Specifically, it can be manifested as follows: the release of body heat and evaporation of excrement in areas with dense ducks may also cause local temperature and humidity to rise.

[0072] In addition, when evaluating the duck activity density at each time point at a monitoring node, noise levels must also be considered. When duck activity is high, the data from the temperature and humidity sensors at a given moment may not have changed. Therefore, noise sensor data must be analyzed. Typically, the noise level in the local area where the ducks are located is relatively high. However, during some monitoring phases, such as when cleaning or feeding equipment is operating, localized noise levels can also be high. When duck activity is high, the sounds they make, such as calls and footsteps, often have more complex fluctuation characteristics than those from machinery and equipment. The noise changes at the monitoring point can be used to further improve the accuracy of duck activity density assessments. Therefore, we first select any monitoring point as the target monitoring point and analyze the temperature and humidity data at the target monitoring point at the current moment, the distribution of noise intensity data at all monitoring points at the current moment, and the distribution of noise intensity changes between adjacent moments in the reference period. The resulting duck activity density reflects the degree of aggregation of ducks at the target monitoring point at the current moment.

[0073] Preferably, in one embodiment of the present invention, the method for obtaining the duck flock activity density at the target monitoring point at the current moment specifically includes:

[0074] First, the first duck flock aggregation degree of the target monitoring point at the current moment is obtained according to the difference in temperature data and humidity data between the current moment and the adjacent previous moment, and the temperature data and humidity data of the target monitoring point at the current moment.

[0075] Preferably, in one embodiment of the present invention, the method for obtaining the first duck flock aggregation degree of the target monitoring point at the current moment specifically includes:

[0076] The difference in temperature data between the target monitoring point at the current moment and the adjacent previous moment is taken as the temperature change of the target monitoring point at the current moment. The temperature data and temperature change of the target monitoring point at the current moment are integrated to obtain the temperature characteristic value of the target monitoring point at the current moment. The larger the temperature characteristic value, the higher the temperature of the target monitoring point at the current moment, which further indicates that the target monitoring point is more likely to have a flock of ducks gathering at the current moment.

[0077] In an embodiment of the present invention, the sum or product of the temperature data and the temperature change of the target monitoring point at the current moment can be used as the temperature characteristic value of the target monitoring point at the current moment to achieve the integration of the two. This is not limited here, and the subsequent steps of the integrated processing of two or more data can also be achieved using the same method, which will not be explained in detail.

[0078] Similarly, the difference in humidity data between the target monitoring point at the current moment and the adjacent previous moment is taken as the humidity change of the target monitoring point at the current moment. The humidity data and humidity change of the target monitoring point at the current moment are integrated to obtain the humidity characteristic value of the target monitoring point at the current moment.

[0079] The average value of the temperature characteristic value and the humidity characteristic value is taken as the first duck flock aggregation degree of the target monitoring point at the current moment.

[0080] Then, the noise intensity data of the target monitoring point at all moments in the reference period are fitted to obtain the noise intensity fitting curve of the target monitoring point in the reference period. The discrete degree of the absolute value of the slope of all two adjacent moments on the noise intensity fitting curve is analyzed to obtain the noise change disorder of the target monitoring point in the reference period. The greater the noise change disorder, the stronger the noise fluctuation in the reference period, and further the more likely the noise characteristics in the reference period are to be generated by ducks rather than equipment. Therefore, the product value of the noise change disorder of the target monitoring point in the reference period and the noise intensity data of the target monitoring point at the current moment can be used as the second duck aggregation degree of the target monitoring point at the current moment.

[0081] In an embodiment of the present invention, the variance or standard deviation of the absolute value of the slope at all two adjacent moments on the noise intensity fitting curve can be used as the noise change chaos of the target monitoring point in the reference period, so as to realize the analysis of the discrete degree of the absolute value of the slope at all two adjacent moments on the noise intensity fitting curve. Moreover, the analysis of the discrete degree of the data in subsequent steps can also be realized using the same method, which will not be further explained.

[0082] After analyzing the discrete degree of noise intensity data of all monitoring points at the current moment and normalizing it, the calculation results are limited to range, thereby obtaining the noise distribution concentration at the current moment.

[0083] In the embodiment of the present invention, the activation function and the hyperbolic tangent function can be used to implement the normalization process, and the subsequent steps can also use the same method to implement the normalization process, which will not be further explained.

[0084] Based on the calculation formula of duck flock activity density, the duck flock activity density at the target monitoring point at the current moment is obtained. The calculation formula of duck flock activity density is:

[0085]

[0086] in, Indicates the duck activity density at the target monitoring point at the current moment; Indicates the first duck flock aggregation degree of the target monitoring point at the current moment; Indicates the aggregation degree of the second duck group at the target monitoring point at the current moment; Indicates the concentration of noise distribution at the current moment.

[0087] Among them, the noise distribution concentration at the current moment is When the value is larger, it means that the duck flock's activities are more concentrated in a certain area. At this time, the second duck flock aggregation can better reflect the duck flock activity density at the target monitoring point at the current moment, and the noise distribution concentration at the current moment. The smaller the value, the more dispersed the duck flock's activities are. At this time, the aggregation degree of the first duck flock can better reflect the duck flock activity density at the target monitoring point at the current moment.

[0088] At this point, the analysis of the degree of aggregation of duck flock activities at the target monitoring point at the current moment has been completed.

[0089] Step S3: According to the position distribution of each monitoring point in the farm, the difference in the concentration data of the same gas at each moment in the reference period between the target monitoring point and other monitoring points, as well as the stage progress coefficient and the activity density of the duck group, the airflow intensity and airflow direction of the target monitoring point at the current moment are obtained; according to the airflow intensity and airflow direction of each monitoring point at the current moment, as well as the concentration data of various gases at each monitoring point at the current moment, the environmental pollution accumulation coefficient at the current moment is obtained.

[0090] Because harmful gases in duck breeding farms are typically in a state of flux, it is also necessary to analyze the airflow direction and intensity at the monitoring points. The airflow direction and intensity can be comprehensively inferred based on data features such as gas concentration change trends captured by the monitoring point network. Essentially, this is about tracking the air flow path and diffusion direction. When data is collected simultaneously at multiple monitoring points within the farm, the airflow direction and intensity can be analyzed based on the sequence and rate of change of the monitoring data at different points. Furthermore, the smaller the current stage progress coefficient, the more the environmental data in the current monitoring stage is still changing. This means that changes in gas concentration data may be affected by the progress of the current monitoring stage, and changes in environmental data reflected by the progress of the monitoring stage are primarily caused by duck activity. Therefore, the higher the density of duck activity at the current node, the greater the impact of the current monitoring stage progress on the analysis of airflow intensity. Therefore, the airflow intensity and direction at the target monitoring point at the current moment can be determined based on the location distribution of each monitoring point in the farm, the difference in concentration data changes of the same gas between the target monitoring point and other monitoring points at each moment in the reference period, and the combination of the stage progress coefficient and duck activity density.

[0091] Preferably, in one embodiment of the present invention, the method for obtaining the airflow intensity and airflow direction of the target monitoring point at the current moment specifically includes:

[0092] When gas flows into or out of the target monitoring point, the concentration data of the same gas between the target monitoring point and other spatially adjacent monitoring points will show a certain change delay feature. This feature can reflect the airflow direction of the target monitoring point.

[0093] Therefore, first, the area of ​​the breeding duck farm is taken as the numerator, the number of monitoring points is taken as the denominator, and the ratio is taken as the unit coverage area value; with the target monitoring point as the center, the circular area with an area of ​​the unit coverage area value is taken as the adjacent area of ​​the target monitoring point; in the adjacent area, the adjacent monitoring points of the target monitoring point are selected from other monitoring points except the target monitoring point, among which there is no monitoring point on the line between the adjacent monitoring point and the target monitoring point.

[0094] Take any adjacent monitoring point of the target monitoring point as the target adjacent monitoring point, use the dynamic time warping algorithm to match the concentration data of the same gas between the target monitoring point and the target adjacent monitoring point at each moment of the reference period, and use the difference between each gas at the target monitoring point at each moment of the reference period and the gas at the target adjacent monitoring point matched at that moment in the reference period as the time difference of each gas at the target monitoring point at each moment of the reference period relative to the target adjacent monitoring point.

[0095] Usually, the above method can obtain the time difference of each gas at the target monitoring point with respect to each adjacent monitoring point at each moment of the reference period.

[0096] Then, based on the time difference of each gas at the target monitoring point with respect to each adjacent monitoring point at each moment in the reference period, the gas flow direction monitoring point of the target monitoring point at the current moment is screened out from all adjacent monitoring points. The gas flow direction monitoring point is the monitoring point to which the airflow of the target monitoring point flows at the current moment. Therefore, the target monitoring point can be pointed to the direction of the gas flow direction monitoring point as the airflow direction of the target monitoring point at the current moment.

[0097] Preferably, in one embodiment of the present invention, the method for obtaining the gas flow direction monitoring point of the target monitoring point at the current moment specifically includes:

[0098] The average value of the time difference of each gas at the target monitoring point with respect to each adjacent monitoring point at all moments in the reference period is taken as the overall time difference of each gas at the target monitoring point with respect to each adjacent monitoring point in the reference period, and the candidate monitoring point of the target monitoring point is screened out from all the adjacent monitoring points of the target monitoring point. Among them, if the overall time difference of various gases at the target monitoring point with respect to the candidate monitoring point in the reference period is negative, then the concentration change of various gases at the candidate monitoring point in the reference period occurs after the target monitoring point.

[0099] The absolute value of the time difference between each gas at the target monitoring point and each candidate monitoring point at all two adjacent moments in the reference time period is averaged to obtain the initial screening value of each gas at the target monitoring point with respect to each candidate monitoring point in the reference time period. The average value of the initial screening values ​​of all gases at the target monitoring point with respect to each candidate monitoring point in the reference time period is used as the final screening value of the target monitoring point with respect to each candidate monitoring point in the reference time period. The candidate monitoring point corresponding to the minimum value of the final screening value is then used as the gas flow direction monitoring point of the target monitoring point at the current moment.

[0100] The airflow intensity can be analyzed by the distance between the gas flow monitoring point and the target monitoring node, as well as the time delay in the change of the gas monitoring data between the two. At the same time, since the actual flow direction of the gas is not necessarily strictly the same as the obtained airflow direction, it is also necessary to analyze the airflow intensity in combination with the change rate of the gas concentration data of the target monitoring point itself.

[0101] Therefore, the airflow intensity at the target monitoring point at the current moment can be obtained based on the changes in the concentration data of each gas at the target monitoring point at each moment in the reference period, the time difference of each gas at the target monitoring point at each moment in the reference period with respect to the gas flow monitoring point, the distance between the target monitoring point and the gas flow monitoring point, and the stage progress coefficient of the target monitoring point at the current moment and the duck flock activity density.

[0102] Preferably, in one embodiment of the present invention, the method for obtaining the airflow intensity at the target monitoring point at the current moment specifically includes:

[0103] Perform curve fitting on the concentration data of each gas at the target monitoring point at each moment in the reference period to obtain the concentration fitting curve of each gas at the target monitoring point. The average of the absolute values ​​of the slopes of the concentration fitting curves of all gases at the target monitoring point at the current moment is taken as the overall gas concentration change of the target monitoring point at the current moment. The greater the overall gas concentration change, the stronger the airflow at the target monitoring point at the current moment.

[0104] The distance between the target monitoring point and the gas flow monitoring point is used as the numerator, the average value of the time difference of all gases at the target monitoring point at all moments in the reference period with respect to the gas flow monitoring point is used as the denominator, and the ratio is used as the airflow velocity parameter of the target monitoring point at the current moment. The larger the airflow velocity parameter, the stronger the airflow at the target monitoring point at the current moment.

[0105] The overall gas concentration change and airflow velocity parameters are integrated to obtain the airflow coefficient of the target monitoring point at the current moment.

[0106] Based on the calculation formula of airflow intensity, the airflow intensity of the target monitoring point at the current moment is obtained. The calculation formula of airflow intensity is:

[0107]

[0108] in, Indicates the airflow intensity at the target monitoring point at the current moment; Indicates the stage progress coefficient of the target monitoring point at the current moment; Indicates the duck activity density at the target monitoring point at the current moment; Indicates the airflow coefficient of the target monitoring point at the current moment.

[0109] The same method as above can be used to obtain the airflow intensity and direction of each monitoring point at the current moment. The greater the concentration data of various gases at each monitoring point at the current moment, and the smaller the airflow intensity of each monitoring point at the current moment, and the more consistent the airflow direction of each monitoring point at the current moment with the overall direction of the airflow, it means that there is a high possibility of local accumulation of harmful gases in the breeding duck farm at the current moment. Therefore, the airflow intensity and direction of each monitoring point at the current moment, as well as the concentration data of various gases at each monitoring point at the current moment can be analyzed, and the obtained environmental pollution accumulation coefficient can reflect the severity of the harmful gas accumulation phenomenon in the internal environment of the breeding duck farm.

[0110] Preferably, in one embodiment of the present invention, the method for obtaining the environmental pollution accumulation coefficient at the current moment specifically includes:

[0111] The average value of the concentration data of all gases at the target monitoring point at the current moment is taken as the overall gas concentration level at the target monitoring point at the current moment.

[0112] The angle between the airflow direction and the horizontal direction at the target monitoring point at the current moment is taken as the airflow angle at the target monitoring point at the current moment. The value range of the airflow angle is , the average value of the airflow angles of all monitoring points at the current moment is taken as the overall airflow angle at the current moment, and the absolute value of the difference between the airflow angle of the target monitoring point at the current moment and the overall airflow angle is taken as the airflow direction deviation of the target monitoring point at the current moment.

[0113] The airflow direction deviation and airflow intensity of the target monitoring point at the current moment are integrated and negatively correlated to obtain the airflow retention degree of the target monitoring point at the current moment. The greater the airflow retention degree, the more likely it is that harmful gases exist at the target monitoring point at the current moment.

[0114] The overall gas concentration level and airflow retention of the target monitoring point at the current moment are integrated to obtain the airflow concentration of the target monitoring point at the current moment. The greater the airflow concentration, the more likely it is that harmful gas accumulation exists at the target monitoring point at the current moment.

[0115] As an example, in one embodiment of the present invention, the expression of the airflow concentration degree of the target monitoring point at the current moment can be specifically, for example, as follows:

[0116]

[0117] in, Indicates the airflow concentration of the target monitoring point at the current moment; Indicates the target monitoring point The concentration data of the gas at the current moment; Indicates the number of gas types; Indicates the overall gas concentration level of the target monitoring point at the current moment; Indicates the airflow angle of the target monitoring point at the current moment; Indicates the overall airflow angle at the current moment; Indicates the deviation of the airflow direction of the target monitoring point at the current moment; Indicates the airflow intensity at the target monitoring point at the current moment; Indicates the airflow retention degree of the target monitoring point at the current moment; Indicates the preset adjustment parameter, used to prevent the denominator from being 0. The value range is In one embodiment of the present invention, Set to 0.01, The specific value of can also be set by the implementer according to the specific implementation scenario and is not limited here.

[0118] It should be noted that in other embodiments of the present invention, negative correlation mapping may be achieved through other basic mathematical operations, which will not be described in detail here.

[0119] The airflow concentration at each monitoring point at the current moment can be obtained by the same method as above.

[0120] Then, the average value of the airflow concentration of all monitoring points at the current moment can be normalized, and the calculation result can be limited to range, thereby obtaining the environmental pollution accumulation coefficient at the current moment.

[0121] As an example, in one embodiment of the present invention, the expression of the environmental pollution accumulation coefficient at the current moment may be specifically, for example, as follows:

[0122]

[0123] in, Indicates the environmental pollution accumulation coefficient at the current moment; Indicates the The airflow concentration of each monitoring point at the current moment; Indicates the number of monitoring points; Represents the hyperbolic tangent function, which is used for normalization.

[0124] At this point, the analysis of the accumulation of harmful gases in breeding duck farms has been completed.

[0125] Step S4: Based on the environmental pollution accumulation coefficient, a real-time early warning is provided for the environment of the breeding duck farm.

[0126] The larger the environmental pollution accumulation coefficient at the current moment, the more likely it is that harmful gases will accumulate in the breeding duck farm and the more serious the accumulation phenomenon will be. Therefore, based on the environmental pollution accumulation coefficient, the environment of the breeding duck farm can be monitored in real time, thereby effectively monitoring the local accumulation of harmful gases in the breeding duck farm and improving the accuracy of monitoring the breeding duck farming environment.

[0127] Preferably, in one embodiment of the present invention, the method for real-time monitoring of the environment of a breeding duck farm specifically includes:

[0128] If the current environmental pollution accumulation coefficient is greater than the preset pollution threshold, an environmental pollution alarm message is issued, wherein the preset pollution threshold value range is In one embodiment of the present invention, the preset pollution threshold is set to 0.75. The specific value of the preset pollution threshold can also be set by the implementer according to the specific implementation scenario and is not limited here.

[0129] One embodiment of the present invention provides an intelligent monitoring system for a breeding environment for breeding ducks, the system comprising a memory, a processor and a computer program, wherein the memory is used to store the corresponding computer program, the processor is used to run the corresponding computer program, and when the computer program runs in the processor, it can implement the method described in steps S1 to S4.

[0130] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0131] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. An intelligent monitoring method for breeding duck breeding environment, characterized in that: The method comprises: Real-time acquisition of concentration data of different gases at different monitoring points in the breeding duck farm at each moment within a preset time period, as well as temperature data, humidity data and noise intensity data at each monitoring point; The preset time period is divided into multiple monitoring stages, the monitoring stage at the current moment is taken as the current monitoring stage, the time period before the current moment in the current monitoring stage is taken as the reference period at the current moment, and the stage progress coefficient at the current moment is obtained according to the length difference between the reference period and the current monitoring stage; any monitoring point is taken as the target monitoring point, and the duck activity density of the target monitoring point at the current moment is obtained according to the difference in temperature data and humidity data between the target monitoring point at the current moment and the adjacent previous moment, the distribution of noise intensity data of all monitoring points at the current moment, and the distribution of the difference in noise intensity data changes at adjacent moments in the reference period at the target monitoring point; Based on the location distribution of each monitoring point in the farm, the difference in concentration data of the same gas at each moment in the reference period between the target monitoring point and other monitoring points, as well as the stage progress coefficient and the activity density of the duck flock, the airflow intensity and airflow direction at the target monitoring point at the current moment are obtained; based on the airflow intensity and airflow direction at each monitoring point at the current moment, and the concentration data of various gases at each monitoring point at the current moment, the environmental pollution accumulation coefficient at the current moment is obtained; Based on the environmental pollution accumulation coefficient, a real-time early warning is provided for the environment of the breeding duck farm.

2. The method for intelligent monitoring of breeding environment for breeding ducks according to claim 1, characterized in that: The step of obtaining the current stage progress coefficient includes: The length of the reference period at the current time point is used as the numerator, the length of the current monitoring stage is used as the denominator, and the ratio is used as the stage progress coefficient at the current moment.

3. The method for intelligent monitoring of breeding environment for breeding ducks according to claim 1, characterized in that: The method of obtaining the duck flock activity density at the target monitoring point at the current moment includes: According to the difference in temperature data and humidity data between the target monitoring point at the current moment and the adjacent previous moment, and the temperature data and humidity data of the target monitoring point at the current moment, the first duck flock aggregation degree of the target monitoring point at the current moment is obtained; The noise intensity data of the target monitoring point at all moments in the reference period are fitted to obtain a noise intensity fitting curve of the target monitoring point in the reference period, the discrete degree of the absolute value of the slope of all two adjacent moments on the noise intensity fitting curve is analyzed to obtain the noise change disorder of the target monitoring point in the reference period, and the product value of the noise change disorder of the target monitoring point in the reference period and the noise intensity data of the target monitoring point at the current moment is used as the second duck flock aggregation degree of the target monitoring point at the current moment; After analyzing the discrete degree of the noise intensity data of all monitoring points at the current moment and performing normalization processing, the noise distribution concentration at the current moment is obtained; Based on the calculation formula of duck flock activity density, the duck flock activity density at the target monitoring point at the current moment is obtained. The calculation formula of the duck flock activity density is: in, Indicates the duck activity density at the target monitoring point at the current moment; Indicates the first duck flock aggregation degree of the target monitoring point at the current moment; Indicates the aggregation degree of the second duck group at the target monitoring point at the current moment; Indicates the concentration of noise distribution at the current moment.

4. The method for intelligent monitoring of breeding environment for breeding ducks according to claim 3, characterized in that: The obtaining of the first duck flock aggregation degree of the target monitoring point at the current moment includes: Taking the difference between the temperature data of the target monitoring point at the current moment and the temperature data of the previous moment as the temperature variation of the target monitoring point at the current moment, and synthesizing the temperature data of the target monitoring point at the current moment and the temperature variation to obtain the temperature characteristic value of the target monitoring point at the current moment; The difference between the humidity data of the target monitoring point at the current moment and the adjacent previous moment is used as the humidity change of the target monitoring point at the current moment, and the humidity data of the target monitoring point at the current moment and the humidity change are integrated to obtain the humidity characteristic value of the target monitoring point at the current moment; The average value of the temperature characteristic value and the humidity characteristic value is used as the first duck flock aggregation degree of the target monitoring point at the current moment.

5. The method for intelligent monitoring of breeding environment for breeding ducks according to claim 1, characterized in that: The obtaining of the airflow intensity and airflow direction of the target monitoring point at the current moment includes: The area of ​​the breeding duck farm is used as the numerator, the number of monitoring points is used as the denominator, and the ratio is used as the unit coverage area value; with the target monitoring point as the center, a circular area with an area equal to the unit coverage area value is used as the adjacent area of ​​the target monitoring point; in the adjacent area, adjacent monitoring points of the target monitoring point are selected from other monitoring points except the target monitoring point, wherein no monitoring points exist on the line connecting the adjacent monitoring points and the target monitoring point; Take any adjacent monitoring point of the target monitoring point as the target adjacent monitoring point, use the dynamic time warping algorithm to match the concentration data of the same gas at each moment of the reference period between the target monitoring point and the target adjacent monitoring point, and use the difference between each gas at each moment of the reference period and the time of the target adjacent monitoring point matched at that moment as the time difference of each gas at the target monitoring point at each moment of the reference period with respect to the target adjacent monitoring point; According to the time difference of each gas at the target monitoring point with respect to each adjacent monitoring point at each moment of the reference period, the gas flow direction monitoring point of the target monitoring point at the current moment is screened out from all adjacent monitoring points, and the target monitoring point is pointed in the direction of the gas flow direction monitoring point as the gas flow direction of the target monitoring point at the current moment; According to the changes in the concentration data of each gas at the target monitoring point at each moment in the reference time period, the time difference of each gas at the target monitoring point at each moment in the reference time period with respect to the gas flow monitoring point, the distance between the target monitoring point and the gas flow monitoring point, and the stage progress coefficient of the target monitoring point at the current moment and the duck flock activity density, the airflow intensity of the target monitoring point at the current moment is obtained.

6. The method for intelligent monitoring of breeding environment for breeding ducks according to claim 5, characterized in that: The gas flow direction monitoring points of the target monitoring point at the current moment include: The average of the time differences of each gas at the target monitoring point with respect to each adjacent monitoring point at all times during the reference period is used as the overall time difference of each gas at the target monitoring point with respect to each adjacent monitoring point during the reference period; Selecting candidate monitoring points of the target monitoring point from all adjacent monitoring points of the target monitoring point, wherein the overall time differences of various gases at the target monitoring point with respect to the candidate monitoring points during the reference period are all negative; Averaging the absolute values ​​of the time differences of each gas at the target monitoring point at all two adjacent moments in the reference period with respect to each candidate monitoring point to obtain an initial screening value of each gas at the target monitoring point with respect to each candidate monitoring point in the reference period, and taking the average of the initial screening values ​​of all gases at the target monitoring point with respect to each candidate monitoring point in the reference period as the final screening value of the target monitoring point with respect to each candidate monitoring point in the reference period; The candidate monitoring point corresponding to the minimum value of the final screening value is used as the gas flow direction monitoring point of the target monitoring point at the current moment.

7. The method for intelligent monitoring of breeding environment for breeding ducks according to claim 5, characterized in that: The step of obtaining the airflow intensity at the target monitoring point at the current moment includes: Performing curve fitting on the concentration data of each gas at the target monitoring point at each moment of the reference period to obtain a concentration fitting curve of each gas at the target monitoring point; The average of the absolute values ​​of the slopes of the concentration fitting curves of all gases at the target monitoring point at the current moment is used as the overall gas concentration change degree of the target monitoring point at the current moment; The distance between the target monitoring point and the gas flow monitoring point is used as the numerator, the average value of the time difference of all gases at the target monitoring point at all times during the reference period with respect to the gas flow monitoring point is used as the denominator, and the ratio is used as the airflow velocity parameter of the target monitoring point at the current moment; Combining the overall gas concentration change and the airflow velocity parameter to obtain the airflow coefficient of the target monitoring point at the current moment; Based on the calculation formula of airflow intensity, the airflow intensity of the target monitoring point at the current moment is obtained. The calculation formula of airflow intensity is: in, Indicates the airflow intensity at the target monitoring point at the current moment; Indicates the progress coefficient of the target monitoring point at the current moment; Indicates the duck flock activity density at the target monitoring point at the current moment; Indicates the airflow coefficient of the target monitoring point at the current moment.

8. The method for intelligent monitoring of breeding environment for breeding ducks according to claim 1, characterized in that: The obtaining of the environmental pollution accumulation coefficient at the current moment includes: The average value of the concentration data of all gases at the target monitoring point at the current moment is taken as the overall gas concentration level at the target monitoring point at the current moment; The angle between the airflow direction and the horizontal direction at the target monitoring point at the current moment is used as the airflow angle of the target monitoring point at the current moment, the average of the airflow angles of all monitoring points at the current moment is used as the overall airflow angle at the current moment, and the absolute value of the difference between the airflow angle at the target monitoring point at the current moment and the overall airflow angle is used as the airflow direction deviation of the target monitoring point at the current moment; The airflow direction deviation and the airflow intensity of the target monitoring point at the current moment are integrated and negatively correlated to obtain the airflow retention degree of the target monitoring point at the current moment; Combining the overall gas concentration level and the airflow retention degree at the target monitoring point at the current moment to obtain the airflow concentration degree at the target monitoring point at the current moment; The average value of the airflow concentration of all monitoring points at the current moment is normalized to obtain the environmental pollution accumulation coefficient at the current moment.

9. The method for intelligent monitoring of breeding environment for breeding ducks according to claim 1, characterized in that: The real-time monitoring of the environment of the breeding duck farm includes: If the environmental pollution accumulation coefficient at the current moment is greater than a preset pollution threshold, an environmental pollution alarm message is issued.

10. An intelligent monitoring system for breeding duck farming environment, the system comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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