Environmental pollution information monitoring method suitable for livestock breeding

Abstract

The invention relates to the technical field of environmental information monitoring, in particular to an environmental pollution information monitoring method suitable for livestock breeding, which comprises the following steps: acquiring activity information of livestock to be monitored, and dividing a breeding area into at least two sub-areas; correspondingly acquiring a position parameter according to the sub-region information, and acquiring an influence attribute parameter according to the position parameter and the activity information; according to the activity information, obtaining confidence of excretion behavior time, and according to the confidence, the influence attribute parameters and the activity information, obtaining environmental influence degree values of livestock breeding on the sub-regions; and determining the pollution influence degree value of livestock breeding on the environment according to each environmental influence degree value and the nitrogen and phosphorus contents of the sampling points in each sub-region. According to the invention, the influence of livestock breeding on the local environment can be accurately monitored and evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental information monitoring, and in particular to an environmental pollution information monitoring method suitable for animal husbandry. Background Art

[0002] With the continuous expansion of the scale of the breeding industry and the transformation and upgrading of the breeding model, the traditional breeding model is facing multiple challenges, including low production efficiency, increased environmental pollution, lax product quality control, and ineffective epidemic prevention and control. In today's advocacy of green ecology and environmentally friendly industries, it is particularly important to strictly control the environmental pollution caused by breeding. In order to meet these challenges, smart breeding, refined management and environmentally friendly animal husbandry are gradually becoming the core direction of animal husbandry development.

[0003] In animal husbandry, the negative impact of livestock manure on the environment is particularly significant. If the amount of manure discharged exceeds the environmental carrying capacity, the nitrogen, phosphorus and other elements in it may cause environmental problems such as eutrophication of water bodies and soil salinization. Therefore, it is crucial to accurately detect the nitrogen and phosphorus content in manure. However, due to the scattered discharge of manure, it is difficult for the sampling points to fully represent the nitrogen and phosphorus content of the entire breeding area, which in turn affects the accuracy of environmental impact assessment.

[0004] In the prior art, when testing the nitrogen and phosphorus content of feces in breeding areas, the grid sampling method is generally used, that is, the breeding area is evenly divided into several sampling areas, and sampling is carried out in each sampling area. According to the collected samples in each sampling area, the nitrogen and phosphorus content of the livestock feces in the breeding area is obtained by cumulative addition after inspection. However, when sampling and testing are carried out in equally divided sampling areas, due to the unevenness of livestock activities, there are differences in the nitrogen and phosphorus content of each sampling area. The nitrogen and phosphorus content of livestock feces in some sampling areas cannot accurately reflect the actual impact of animal husbandry on the local environment, resulting in low accuracy of detection and evaluation. Summary of the invention

[0005] In order to solve the technical problem that the monitoring and evaluation of the impact of animal husbandry on the local environment is not accurate enough, the purpose of the present invention is to provide an environmental pollution information monitoring method suitable for animal husbandry. The technical scheme adopted is as follows: Obtain the activity information of the livestock to be monitored and divide the breeding area into at least two sub-areas; Acquire a location parameter according to the sub-region information, and acquire an impact attribute parameter according to the location parameter and the activity information; Obtaining the confidence of the excretion behavior time according to the activity information, and obtaining the environmental impact degree value of animal husbandry on each of the sub-areas according to the confidence, the influencing attribute parameter, and the activity information; The pollution impact degree value of animal husbandry on the environment is determined according to each of the environmental impact degree values ​​and the nitrogen and phosphorus contents of the sampling points in each of the sub-areas.

[0006] Furthermore, the obtaining of the position parameter according to the sub-region information includes: Obtain the total area of ​​the breeding area, the area of ​​the low-elevation area in the ith sub-area and the standard deviation of the elevation change, and the cumulative difference in elevation change between the ith sub-area and the adjacent sub-area, wherein the area of ​​the low-elevation area represents the area in the ith sub-area whose elevation is lower than the average of the elevation of the breeding area, the total area is equal to the sum of the areas of each sub-area, and the value range of i is 1 to the number of the sub-areas; Dividing the area of ​​the region by the total area and then multiplying by the cumulative difference to obtain a first multiplier; After adding the first preset value to the standard deviation, the reciprocal is taken to obtain a second multiplier; The first multiplier and the second multiplier are multiplied together as an input value of a Sigmoid function, and an output value of the Sigmoid function is used as the position parameter corresponding to the i-th sub-region; The process of obtaining the position parameters is repeated to obtain the position parameters corresponding to each sub-region.

[0007] Further, obtaining the influencing attribute parameter according to the location parameter and the activity information includes: Obtaining the residence time, total activity path length, repeated activity path length and activity inflection point number of the livestock to be monitored in the i-th sub-area in the activity information, wherein the value range of i is 1 to the number of the sub-areas; The influencing attribute parameter corresponding to the i-th sub-region is obtained by multiplying the position parameter, the dwell time, the length of the repeated activity path, and the number of activity inflection points in sequence, and then dividing by the total activity path length; The process of obtaining the influencing attribute parameter is repeated to obtain the influencing attribute parameter corresponding to each sub-region.

[0008] Furthermore, obtaining the confidence level of the defecation behavior time according to the activity information includes: Obtaining the duration of each stay of the livestock to be monitored on the activity path in the i-th sub-area in the activity information, and clustering the stay duration as data points to obtain a preset number of clusters, wherein the value range of i is 1 to the number of the sub-areas; The cluster corresponding to the data point with the smallest average value is the excretion behavior time cluster; The confidence level that each of the stay durations is the excretion behavior time is obtained according to the activity information and the excretion behavior time cluster.

[0009] Further, obtaining the confidence that each of the stay durations is the excretion behavior time according to the activity information and the excretion behavior time cluster includes: Obtain the number of the stay durations in the excretion behavior time cluster that are the same as the vth stay duration as a first number, and obtain the total number of the stay durations in the excretion behavior time cluster, wherein the value range of v is 1 to the number of the stay durations in the excretion behavior time cluster; Acquire a first speed of the livestock to be monitored before the vth stay duration and a second speed of the livestock to be monitored after the vth stay duration in the activity information; The second speed is subtracted from the first speed and then divided by the first speed to obtain a speed change value; The opposite of the absolute value of the speed change value is used as the input value of the exponential function; The first number is divided by the total number and then multiplied by the output value of the exponential function to serve as the input value of the Sigmoid function, and the output value of the Sigmoid function is the confidence that the vth duration of the stay is the time of the excretion behavior; The confidence acquisition process is repeated to obtain the confidence that each dwelling duration is the excretion behavior time.

[0010] Furthermore, obtaining the environmental impact value of animal husbandry on each of the sub-areas according to the confidence level, the impact attribute parameter, and the activity information includes: Obtaining the vth stay duration in the excretion behavior time cluster and the vth confidence that the vth stay duration is the excretion behavior time, wherein the value range of v is 1 to the number of the stay durations in the excretion behavior time cluster; After multiplying the vth stay duration by the vth confidence level, the resultant multiplication is divided by the total stationary time of the livestock to be monitored in the i-th sub-area to obtain a third multiplier corresponding to the vth stay duration; Repeat the process of obtaining the third multiplier to obtain the third multiplier corresponding to each of the stay durations in the defecation behavior time cluster, and add the third multipliers in sequence to obtain a total multiplier value; The total value of the multiplier, the influencing attribute parameter and the foraging behavior description value are multiplied in sequence as the input value of the Sigmoid function, and the output value of the Sigmoid function is the environmental impact degree value of the animal husbandry on the i-th sub-area, wherein the foraging behavior description value is the product of the number of activity inflection points in the activity information and the length of the repeated activity path in the activity information; The process of obtaining the environmental impact value is repeated to obtain the environmental impact value of the animal husbandry on each of the sub-areas.

[0011] Furthermore, clustering the stay duration as data points to obtain a preset number of clusters includes: The K-means algorithm is used to cluster the data points to obtain a preset number of clusters, the residence duration is used as the data point, and the preset number includes two.

[0012] Further, determining the pollution impact value of animal husbandry on the environment according to each of the environmental impact values ​​and the nitrogen and phosphorus content of the sampling points in each of the sub-areas includes: Obtain the environmental impact value of the ith sub-region and multiply it by the nitrogen and phosphorus content of the sampling point in the ith sub-region to obtain the pollution impact value of the ith sub-region on the environment, wherein the value range of i is 1 to the number of the sub-regions; Repeat the process of obtaining the pollution impact degree value to obtain the pollution impact degree value of each sub-area on the environment; The pollution impact degree values ​​of each are added in sequence to obtain the pollution impact degree value of the livestock breeding on the environment.

[0013] Furthermore, dividing the breeding area into at least two sub-areas includes: A satellite image of the breeding area is obtained, and the satellite image is divided into at least two sub-areas using a grid sampling method.

[0014] Furthermore, the livestock to be monitored includes head sheep.

[0015] The present invention has the following beneficial effects: First, obtain the activity information of the livestock to be monitored, and divide the breeding area into at least two sub-areas. This is the data basis for subsequent analysis. Secondly, obtain the position parameter according to the sub-area information, and obtain the influencing attribute parameter according to the position parameter and the activity information. The position parameter is used as the weight for obtaining the influencing attribute parameter, and is positively correlated with the influencing attribute parameter. The larger the influencing attribute parameter, the greater the impact of the livestock on the area. Furthermore, obtain the confidence of the excretion behavior time according to the activity information, and obtain the environmental impact degree value of animal husbandry on each of the sub-areas according to the confidence, the influencing attribute parameter, and the activity information. Here, the environmental impact degree value of animal husbandry on each of the sub-areas is obtained by combining the confidence, the influencing attribute parameter, and the activity information, which are three aspects related to the impact of animal husbandry on the current environment. Finally, the pollution impact degree value of animal husbandry on the environment is determined according to each of the environmental impact degree values ​​and the nitrogen and phosphorus content of the sampling points in each of the sub-areas. The environmental impact of animal husbandry on different sub-regions is represented by assigning different weights, ie, the environmental impact degree values, to different sub-regions within the breeding area, so that the environmental impact of animal husbandry on the breeding area can be evaluated more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. 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 creative work.

[0017] Figure 1 A flow chart of an environmental pollution information monitoring method applicable to animal husbandry provided by the first embodiment of the present invention; Figure 2 A flow chart of a process for obtaining position parameters provided by a second embodiment of the present invention; Figure 3 A flowchart of a process for obtaining influencing attribute parameters provided by a third embodiment of the present invention; Figure 4 A flowchart of a process for obtaining confidence provided by a fourth embodiment of the present invention; Figure 5 Another flow chart of the process of obtaining confidence provided by the fifth embodiment of the present invention; Figure 6 A flowchart of a process for obtaining an environmental impact value provided by a sixth embodiment of the present invention; Figure 7This is a flow chart of the process of obtaining the pollution impact degree value provided in the seventh embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the environmental pollution information monitoring method suitable for animal husbandry proposed by the present invention, its specific implementation method, structure, characteristics and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0019] 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.

[0020] The following is a detailed description of a method for monitoring environmental pollution information applicable to animal husbandry provided by the present invention in conjunction with the accompanying drawings.

[0021] See also Figure 1 , which shows a flow chart of an environmental pollution information monitoring method applicable to animal husbandry provided by a first embodiment of the present invention, the method comprising: S101. Obtain activity information of livestock to be monitored, and divide the breeding area into at least two sub-areas.

[0022] Optionally, when the present embodiment takes a flock of sheep as the research object, because there is a head sheep aggregation effect in the flock, at this time, the livestock to be monitored can be the head sheep.

[0023] The activity information may include: the activity trajectory of the livestock to be monitored in the breeding area, the residence time at different locations, the movement speed, etc., and the positioning device worn by the livestock to be monitored is used to collect its activity information in the breeding area in real time and synchronously, and this activity information is instantly uploaded to the environmental monitoring information data center via a wireless network.

[0024] Specifically, dividing the breeding area into at least two sub-areas includes: A satellite image of the breeding area is obtained, and the satellite image is divided into at least two sub-areas using a grid sampling method.

[0025] That is to say, according to the relevant regulations on the grid division of ecological environment monitoring sampling points, the satellite image of the breeding area is used to evenly divide a number of areas within the breeding area using the grid sampling method (the area is smaller than the breeding area and is a sub-area of ​​the breeding area).

[0026] S102. Obtain location parameters according to the sub-region information, and obtain influencing attribute parameters according to the location parameters and the activity information.

[0027] The sub-region information includes: the regional area of ​​the low-elevation area within the i-th sub-region and the standard deviation of the elevation change, and the cumulative difference in elevation change between the i-th sub-region and the adjacent sub-region, wherein the regional area of ​​the low-elevation area represents the area in the i-th sub-region whose elevation is lower than the average value of the elevation of the breeding area, the total area is equal to the sum of the areas of each sub-region, and the value range of i is 1 to the number of the sub-regions.

[0028] The sum of the areas of each sub-area is the total area of ​​the breeding area.

[0029] The greater the proportion of low-elevation areas in the i-th sub-area to the breeding area, the lower the altitude of the i-th sub-area. The lower the altitude, that is, the lower the terrain. The lower the terrain, the better the growth of water and grass, and livestock are more willing to forage in this area.

[0030] When the elevation change of the ith sub-area is small, that is, when the slope change of the ith sub-area is small, the terrain of the ith sub-area is flatter, and the flat terrain makes it easier for livestock to forage. When livestock forage in another sub-area with a large elevation change, it will consume more of the livestock's energy and increase the difficulty of foraging. It can be seen that livestock are more willing to forage in the ith sub-area, that is, the sub-area with a small elevation change, so the livestock has a greater impact on the ith sub-area, that is, the location parameter of the ith sub-area is larger.

[0031] The process of obtaining the position parameters will be described in detail in the second embodiment and will not be repeated here.

[0032] The more livestock activity tracks there are in a certain area and the longer they stay there, the greater the impact of the livestock activities on the area, that is, the greater the environmental damage caused to the area. Therefore, when conducting an environmental impact analysis of livestock breeding, the more representative the area will be, that is, the more the area can reflect the impact of livestock breeding on the environment.

[0033] The higher the repeatability of the path trajectory of livestock in the i-th sub-area, the more likely it is that the livestock is foraging in the i-th sub-area, because when livestock are foraging, their activity paths will circulate back and forth, without clear directionality and with a longer stay time. When livestock are running, their activity paths often have clear directions, single trajectories, faster speeds, shorter stay times, and lower repeatability.

[0034] The process of obtaining the influencing attribute parameters will be described in detail in the third embodiment and will not be repeated here.

[0035] S103. Obtain the confidence level of the excretion behavior time based on the activity information, and obtain the environmental impact level of animal husbandry on each of the sub-areas based on the confidence level, the influencing attribute parameters, and the activity information.

[0036] The determination of the environmental impact value is subject to the combined effects of multiple factors: First, based on the livestock's activity path, we deeply analyzed the duration of livestock's stay in the i-th sub-area. Considering that livestock's excretion behavior is often static, the longer the livestock stays in the i-th sub-area, the more frequent their foraging activities are, and the greater the possibility of excretion. This frequent excretion activity significantly increases the degree of livestock breeding in the area, and enhances its representativeness as an environmental impact assessment indicator.

[0037] However, it is worth noting that the duration of livestock's stay in the i-th sub-area is not directly equivalent to the frequency of excretion behavior. During the stay, livestock may be in an excretion state or they may be resting. Since the normal excretion behavior of livestock takes a relatively fixed and short time, while the rest behavior may last for a long time and the duration is uncertain, within a certain time range, the number of livestock excretions is often more than the number of rests. However, the impact of a single excretion on foraging is far less than that of resting, and after excretion, sheep will quickly resume foraging activities without changing their original trajectory. In contrast, changes in the body shape of livestock during rest (such as semi-lateral recumbency) and longer rest time may lead to adjustments in activity trajectories, such as running for digestion and moving the trunk.

[0038] In summary, the above analysis combined with the characteristics of livestock activity paths, residence time, excretion and resting behaviors, comprehensively evaluated the environmental impact of livestock breeding on the i-th sub-region. This assessment not only takes into account the activity frequency and excretion behavior of livestock, but also deeply analyzes the impact of resting behavior on activity trajectories, thus more accurately reflecting the actual impact of livestock breeding on the environment.

[0039] The process of obtaining the confidence level will be described in detail in the fourth and fifth embodiments and will not be repeated here.

[0040] The process of obtaining the environmental impact degree value will be described in detail in the sixth embodiment and will not be repeated here.

[0041] S104. Determine the pollution impact degree value of animal husbandry on the environment according to each of the environmental impact degree values ​​and the nitrogen and phosphorus content of the sampling points in each of the sub-areas.

[0042] The pollution impact degree value of the animal husbandry on the environment is determined according to the environmental impact degree value of the sub-area and the nitrogen and phosphorus content of the sampling point.

[0043] The process of obtaining the pollution impact degree value will be described in detail in the seventh embodiment and will not be repeated here.

[0044] Figure 2 The flowchart of the position parameter acquisition process provided by the second embodiment of the present invention, wherein the corresponding acquisition of the position parameter according to the sub-region information includes: S201. Obtain the total area of ​​the breeding area, the area of ​​the low-elevation area in the ith sub-area and the standard deviation of the elevation change, and the cumulative difference in elevation change between the ith sub-area and the adjacent sub-area, wherein the area of ​​the low-elevation area represents the area in the ith sub-area whose elevation is lower than the average value of the elevation of the breeding area, and the total area is equal to the sum of the areas of each sub-area, wherein the value range of i is 1 to the number of the sub-areas.

[0045] Elevation refers to the vertical distance from a point on the ground to a horizontal plane. The area of ​​the low elevation region in the i-th sub-region represents the elevation in the i-th sub-region. Below the average elevation of the breeding area area.

[0046] S202. Divide the area of ​​the region by the total area, and then multiply by the cumulative difference to obtain a first multiplier.

[0047] The first multiplier can be expressed as: , wherein the represents the area of ​​the region, S represents the total area, and A represents the cumulative difference.

[0048] S203. After adding the first preset value to the standard deviation, take the reciprocal to obtain a second multiplier.

[0049] The second multiplier can be expressed as: , wherein the represents the standard deviation, k represents the first preset value, and k can be set independently, preferably 1.

[0050] S204. The first multiplier and the second multiplier are multiplied together to form an input value of a Sigmoid function, and an output value of the Sigmoid function is used as the position parameter corresponding to the i-th sub-region.

[0051] The position parameter can be expressed as: ; Among them, the Represents the position parameter corresponding to the i-th sub-region.

[0052] Since the Sigmoid function is monotonically increasing, The larger the The smaller the A, the larger the The bigger.

[0053] S205. Repeat the process of acquiring the position parameters to obtain the position parameters corresponding to each sub-region.

[0054] Figure 3 The flowchart of the process of obtaining the influencing attribute parameters provided by the third embodiment of the present invention, wherein obtaining the influencing attribute parameters according to the position parameters and the activity information includes: S301. Obtain the residence time, total activity path length, repeated activity path length and number of activity turning points of the monitored livestock in the i-th sub-area in the activity information, wherein the value range of i is 1 to the number of the sub-areas.

[0055] S302. After multiplying the position parameter, the dwell time, the length of the repeated activity path, and the number of activity inflection points in sequence, the resultant is divided by the total activity path length to obtain the influencing attribute parameter corresponding to the i-th sub-region.

[0056] The influencing attribute parameter can be expressed as: ; Among them, the represents the position parameter, the represents the residence time, the Represents the length of the repeated activity path, represents the number of active inflection points, the represents the total active path length. The function is prior art and will not be described in detail here.

[0057] When the location attribute of the i-th sub-region is better, that is, the location parameter The larger the area, the more it can attract livestock to forage. Furthermore, the longer the livestock stays in the ith sub-area, the greater the impact on the ith sub-area. is the weight, which represents the confidence of the livestock’s impact behavior on the i-th sub-area; It is a description of the foraging activities of livestock. The more repeated paths the livestock take and the more turning points the paths have (compared to running and other behaviors, foraging behaviors do not have clear goals and the paths are more chaotic, that is, there are more turning points on the paths), the more likely it is that they are foraging activities. represents the proportion of foraging paths. The greater the proportion of foraging in the ith sub-region, the greater the impact of livestock behavior on the environment. In other words, the greater the impact attribute parameter of livestock in the ith sub-region, that is, The bigger.

[0058] S303. Repeat the process of acquiring the influencing attribute parameter to obtain the influencing attribute parameter corresponding to each sub-region.

[0059] Figure 4 The flowchart of the process of obtaining the confidence provided by the fourth embodiment of the present invention, obtaining the confidence of the time of the defecation behavior according to the activity information includes: S401. Obtain the duration of each stay of the monitored livestock on the activity path in the i-th sub-area in the activity information, and cluster the stay duration as data points to obtain a preset number of clusters, wherein the value range of i is 1 to the number of sub-areas.

[0060] Because the time spent on livestock's excretion behavior is relatively stable and the number of excretion behaviors is relatively large, livestock can be clustered according to the duration of each stay on the activity path of the i-th sub-area.

[0061] Specifically, clustering the stay duration as data points to obtain a preset number of clusters includes: The K-means algorithm is used to cluster the data points to obtain a preset number of clusters, the residence duration is used as the data point, and the preset number includes two.

[0062] S402. The cluster corresponding to the data point with the smallest average value is the excretion behavior time cluster.

[0063] S403. Obtain the confidence level that each of the stay durations is the excretion behavior time according to the activity information and the excretion behavior time cluster.

[0064] Figure 5 Another flow chart of the confidence acquisition process provided by the fifth embodiment of the present invention, obtaining the confidence that each of the stay durations is the excretion behavior time according to the activity information and the excretion behavior time cluster includes: S501. Obtain the number of the stay durations that are the same as the vth stay duration in the excretion behavior time cluster as the first number, and obtain the total number of the stay durations in the excretion behavior time cluster, wherein the value range of v is 1 to the number of the stay durations in the excretion behavior time cluster.

[0065] S502. Obtain a first speed of the livestock to be monitored before the vth stay duration and a second speed of the livestock to be monitored after the vth stay duration in the activity information.

[0066] The first speed may be an average speed in a preset first time before the vth duration of the stay. The second speed may be an average speed in a preset second time after the vth duration of the stay. The preset first time and the preset second time may be set independently and reasonably, and are not limited here.

[0067] S503. Subtract the first speed from the second speed and then divide it by the first speed to obtain a speed change value; The speed change value can be expressed as: , represents the second speed, the represents the first speed.

[0068] S504. The opposite of the absolute value of the speed change value is used as an input value of the exponential function.

[0069] The input value of the exponential function can be expressed as: .

[0070] S505. After dividing the first number by the total number, the first number is multiplied by the output value of the exponential function to serve as an input value of a Sigmoid function, and the output value of the Sigmoid function is the confidence that the vth residence duration is the excretion behavior time.

[0071] The confidence can be expressed as: ; Among them, the represents the confidence level, the represents the first quantity, the represents the total quantity, and exp is an exponential function with a natural constant as the base. The function is prior art and will not be described in detail here.

[0072] when The smaller it is, the smaller the change in the speed of the livestock before and after the vth data point, i.e., the vth duration of stay, is, the greater the possibility that the vth duration of stay is the defecation behavior time of the livestock. The larger the value is, the greater the proportion of the livestock's excretion behavior time is, and the more likely the vth duration of the stay is the excretion behavior time. The larger it is, the higher the credibility that the vth dwelling duration is the time of excretion behavior.

[0073] S506. Repeat the confidence acquisition process to obtain the confidence that each dwelling duration is the excretion behavior time.

[0074] Figure 6 The flowchart of the environmental impact degree value provided by the sixth embodiment of the present invention, which obtains the environmental impact degree value of animal husbandry on each sub-area according to the confidence, the impact attribute parameter, and the activity information, includes: S601. Obtain the vth stay duration in the excretion behavior time cluster and the vth confidence that the vth stay duration is the excretion behavior time, wherein the value range of v is 1 to the number of the stay durations in the excretion behavior time cluster.

[0075] S602. After multiplying the vth stay duration by the vth confidence level, divide the result by the total stationary time of the livestock to be monitored in the ith sub-area to obtain a third multiplier corresponding to the vth stay duration.

[0076] The third multiplier can be expressed as: , represents the duration of the vth stay, represents the vth confidence level, the represents the total stationary time of the livestock to be monitored in the i-th sub-area.

[0077] S603. Repeat the process of obtaining the third multiplier to obtain the third multiplier corresponding to each of the stay durations in the excretion behavior time cluster, and add the third multipliers in sequence to obtain a total multiplier value.

[0078] The total value of the multiplier can be expressed as: , wherein V is the number of the third multipliers.

[0079] S604. The total value of the multiplier, the influencing attribute parameter and the foraging behavior description value are multiplied in sequence as the input value of the Sigmoid function, and the output value of the Sigmoid function is the environmental impact degree of the animal husbandry on the i-th sub-area, wherein the foraging behavior description value is the product of the number of activity inflection points in the activity information and the length of the repeated activity path in the activity information.

[0080] The environmental impact value can be expressed as: ; Among them, the represents the environmental impact value, the represents the influencing attribute parameter, the represents the foraging behavior description value, which can be expressed as: , Represents the length of the repeated activity path, Represents the number of inflection points of the activity.

[0081] When the The larger the value, the greater the impact of the excrement discharged by livestock in the ith sub-area on the area, and the excretion behavior of livestock is modified by the foraging behavior of livestock. The greater the description value of the foraging behavior of livestock in the ith sub-area, that is, The larger the value, the more excretion it has, and the greater the environmental impact on the area. Combined with the livestock's impact attribute parameters, the final livestock environmental impact value on the i-th sub-area is calculated. The larger the environmental impact value, the greater the impact of animal husbandry on the environment.

[0082] S605. Repeat the process of obtaining the environmental impact value to obtain the environmental impact value of animal husbandry on each of the sub-areas.

[0083] Figure 7 The flowchart of the process of obtaining the pollution impact degree value provided by the seventh embodiment of the present invention, which determines the pollution impact degree value of animal husbandry on the environment according to each of the environmental impact degree values ​​and the nitrogen and phosphorus content of the sampling points in each of the sub-areas, includes: S701. Obtain the environmental impact value of the ith sub-region and multiply it by the nitrogen and phosphorus content of the sampling point in the ith sub-region to obtain the pollution impact value of the ith sub-region on the environment, wherein the value range of i is 1 to the number of sub-regions.

[0084] The pollution impact value of the i-th sub-area on the environment can be expressed as: , wherein the represents the environmental impact value of the i-th sub-area, represents the nitrogen and phosphorus content of the sampling point in the i-th sub-area.

[0085] S702. Repeat the process of obtaining the pollution impact degree value to obtain the pollution impact degree value of each sub-region on the environment.

[0086] S703. Add up the pollution impact degree values ​​in sequence to obtain the pollution impact degree value of the livestock breeding on the environment.

[0087] The pollution impact of animal husbandry on the environment can be expressed as: ; Among them, the Indicates the degree of pollution impact of animal husbandry on the environment. represents the number of the sub-regions, The function is prior art and will not be described in detail here.

[0088] The present invention has the following beneficial effects: First, obtain the activity information of the livestock to be monitored, and divide the breeding area into at least two sub-areas. This is the data basis for subsequent analysis. Secondly, obtain the position parameter according to the sub-area information, and obtain the influencing attribute parameter according to the position parameter and the activity information. The position parameter is used as the weight for obtaining the influencing attribute parameter, and is positively correlated with the influencing attribute parameter. The larger the influencing attribute parameter, the greater the impact of the livestock on the area. Furthermore, obtain the confidence of the excretion behavior time according to the activity information, and obtain the environmental impact degree value of animal husbandry on each of the sub-areas according to the confidence, the influencing attribute parameter, and the activity information. Here, the environmental impact degree value of animal husbandry on each of the sub-areas is obtained by combining the confidence, the influencing attribute parameter, and the activity information, which are three aspects related to the impact of animal husbandry on the current environment. Finally, the pollution impact degree value of animal husbandry on the environment is determined according to each of the environmental impact degree values ​​and the nitrogen and phosphorus content of the sampling points in each of the sub-areas. The environmental impact of animal husbandry on different sub-regions is represented by assigning different weights, ie, the environmental impact degree values, to different sub-regions within the breeding area, so that the environmental impact of animal husbandry on the breeding area can be evaluated more accurately.

[0089] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0090] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for monitoring environmental pollution information applicable to animal husbandry, characterized in that: The method comprises: Obtain the activity information of the livestock to be monitored and divide the breeding area into at least two sub-areas; The position parameter is obtained according to the sub-area information, and the influencing attribute parameter is obtained according to the position parameter and the activity information; wherein the influencing attribute parameter is obtained by: obtaining the residence time, total activity path length, repeated activity path length and number of activity inflection points of the livestock to be monitored in the i-th sub-area in the activity information, wherein the value range of i is 1 to the number of the sub-areas; after multiplying the position parameter, the residence time, the repeated activity path length and the number of activity inflection points in sequence, the influencing attribute parameter corresponding to the i-th sub-area is obtained by dividing by the total activity path length; Obtaining the confidence of the excretion behavior time according to the activity information, and obtaining the environmental impact degree value of animal husbandry on each of the sub-areas according to the confidence, the influencing attribute parameter, and the activity information; The pollution impact degree value of animal husbandry on the environment is determined according to each of the environmental impact degree values ​​and the nitrogen and phosphorus contents of the sampling points in each of the sub-areas.

2. The environmental pollution information monitoring method suitable for animal husbandry as claimed in claim 1, characterized in that: The obtaining of the position parameter according to the sub-region information includes: Obtain the total area of ​​the breeding area, the area of ​​the low-elevation area in the ith sub-area and the standard deviation of the elevation change, and the cumulative difference in elevation change between the ith sub-area and the adjacent sub-area, wherein the area of ​​the low-elevation area represents the area in the ith sub-area whose elevation is lower than the average of the elevation of the breeding area, the total area is equal to the sum of the areas of each sub-area, and the value range of i is 1 to the number of the sub-areas; Dividing the area of ​​the region by the total area and then multiplying by the cumulative difference to obtain a first multiplier; After adding the first preset value to the standard deviation, the reciprocal is taken to obtain a second multiplier; The first multiplier and the second multiplier are multiplied together as an input value of a Sigmoid function, and an output value of the Sigmoid function is used as the position parameter corresponding to the i-th sub-region; The process of obtaining the position parameters is repeated to obtain the position parameters corresponding to each sub-region.

3. The environmental pollution information monitoring method suitable for animal husbandry as claimed in claim 1, characterized in that: The confidence level of the defecation behavior time obtained according to the activity information includes: Obtaining the duration of each stay of the livestock to be monitored on the activity path in the i-th sub-area in the activity information, and clustering the stay duration as data points to obtain a preset number of clusters, wherein the value range of i is 1 to the number of the sub-areas; The cluster corresponding to the data point with the smallest average value is the excretion behavior time cluster; The confidence level that each of the stay durations is the excretion behavior time is obtained according to the activity information and the excretion behavior time cluster.

4. The environmental pollution information monitoring method suitable for animal husbandry as claimed in claim 3, characterized in that: Acquiring the confidence that each of the stay durations is the excretion behavior time according to the activity information and the excretion behavior time cluster includes: Obtain the number of the stay durations in the excretion behavior time cluster that are the same as the vth stay duration as a first number, and obtain the total number of the stay durations in the excretion behavior time cluster, wherein the value range of v is 1 to the number of the stay durations in the excretion behavior time cluster; Acquire a first speed of the livestock to be monitored before the vth stay duration and a second speed of the livestock to be monitored after the vth stay duration in the activity information; The second speed is subtracted from the first speed and then divided by the first speed to obtain a speed change value; The opposite of the absolute value of the speed change value is used as the input value of the exponential function; The first number is divided by the total number and then multiplied by the output value of the exponential function to serve as the input value of the Sigmoid function, and the output value of the Sigmoid function is the confidence that the vth duration of the stay is the time of the excretion behavior; The confidence acquisition process is repeated to obtain the confidence that each dwelling duration is the excretion behavior time.

5. The environmental pollution information monitoring method suitable for animal husbandry as claimed in claim 3, characterized in that: Obtaining the environmental impact value of animal husbandry on each sub-area according to the confidence, the impact attribute parameter, and the activity information includes: Obtaining the vth stay duration in the excretion behavior time cluster and the vth confidence that the vth stay duration is the excretion behavior time, wherein the value range of v is 1 to the number of the stay durations in the excretion behavior time cluster; After multiplying the vth stay duration by the vth confidence level, the resultant multiplication is divided by the total stationary time of the livestock to be monitored in the i-th sub-area to obtain a third multiplier corresponding to the vth stay duration; Repeat the process of obtaining the third multiplier to obtain the third multiplier corresponding to each of the stay durations in the defecation behavior time cluster, and add the third multipliers in sequence to obtain a total multiplier value; The total value of the multiplier, the influencing attribute parameter and the foraging behavior description value are multiplied in sequence as the input value of the Sigmoid function, and the output value of the Sigmoid function is the environmental impact degree value of the animal husbandry on the i-th sub-area, wherein the foraging behavior description value is the product of the number of activity inflection points in the activity information and the length of the repeated activity path in the activity information; The process of obtaining the environmental impact value is repeated to obtain the environmental impact value of the animal husbandry on each of the sub-areas.

6. The environmental pollution information monitoring method suitable for animal husbandry as claimed in claim 3, characterized in that: Clustering the stay duration as data points to obtain a preset number of clusters includes: The K-means algorithm is used to cluster the data points to obtain a preset number of clusters, the residence duration is used as the data point, and the preset number includes two.

7. The environmental pollution information monitoring method suitable for animal husbandry as claimed in claim 1, characterized in that: Determining the pollution impact value of animal husbandry on the environment according to each of the environmental impact values ​​and the nitrogen and phosphorus content of the sampling points in each of the sub-areas includes: Obtain the environmental impact value of the ith sub-region and multiply it by the nitrogen and phosphorus content of the sampling point in the ith sub-region to obtain the pollution impact value of the ith sub-region on the environment, wherein the value range of i is 1 to the number of the sub-regions; Repeat the process of obtaining the pollution impact degree value to obtain the pollution impact degree value of each sub-area on the environment; The pollution impact degree values ​​of each are added in sequence to obtain the pollution impact degree value of the livestock breeding on the environment.

8. The environmental pollution information monitoring method suitable for animal husbandry as claimed in claim 1, characterized in that: The dividing of the breeding area into at least two sub-areas comprises: A satellite image of the breeding area is obtained, and the satellite image is divided into at least two sub-areas using a grid sampling method.

9. The environmental pollution information monitoring method suitable for animal husbandry as claimed in claim 1, characterized in that: The livestock to be monitored includes sheep.

Images