A poultry manure treatment system based on the Internet of Things

Abstract

The present invention belongs to the technical field of poultry manure treatment, and discloses a poultry manure treatment system based on the Internet of Things, including a designated monitoring area division module, an environmental information data acquisition module, a manure treatment demand analysis module, a manure treatment parameter setting module, a separator treatment module, a manure treatment effect analysis module and a data storage library. The present invention analyzes the manure treatment demand of each designated monitoring area based on the manure information data of each designated monitoring area, and then identifies the manure treatment demand. This analysis method is more objective and scientific based on data decision-making, which helps to improve the quality and accuracy of decision-making. The present invention determines whether there is manure treatment abnormality in each area to be treated based on manure treatment quality data. This analysis method can detect abnormalities in the treatment process early through real-time monitoring and data analysis, so that timely measures can be taken to reduce waste of resources.

Description

Technical Field

[0001] The invention belongs to the technical field of poultry breeding excrement treatment, and relates to a poultry breeding excrement treatment system based on the Internet of Things. Background Art

[0002] Quail farming refers to the agricultural activity of raising quails for their eggs, meat or other products. The quail farming process mainly includes basic operations such as feed feeding, disease prevention, egg laying and hatching, and manure treatment. Among them, manure treatment in quail farming is an important link to ensure the healthy growth of quails, reduce environmental pollution and improve economic benefits. The traditional manure treatment process has a low degree of automation, slow processing rate and weak adaptability, so the poultry farming manure treatment based on the Internet of Things is of great significance.

[0003] In the prior art, there are also related solutions involving the analysis of poultry manure treatment. For example, the invention patent application for a poultry farm manure treatment method with Chinese patent number CN105800888B provides a simple poultry farm manure treatment method, which directly ferments and deodorizes the manure at the collection point, and then prepares it into organic fertilizer after drying and purifies the sewage for recycling. Manure, urine and other biological litter in the breeding room are collected, and decomposed additives and deodorization treatment are added. The flushed sewage is recycled after purification.

[0004] Although the above schemes have proposed some solutions for the treatment of poultry manure, they still have certain limitations: on the one hand, the existing schemes only focus on the analysis of specific treatment steps and ignore the analysis of the demand for manure treatment. This analysis method may lead to excessive investment in unnecessary treatment steps, increase unnecessary costs, and increase subsequent maintenance costs, including expenses in maintenance, operation, and personnel training, resulting in irrational resource allocation and waste of resources.

[0005] On the other hand, the existing solutions ignore the analysis of the effect of manure treatment. This analysis method may make it difficult to identify bottlenecks and deficiencies in the treatment process, and it is impossible to optimize the treatment process in a targeted manner. Without knowing the treatment effect, it is difficult to judge whether the cost-benefit ratio is reasonable. If the treatment effect is not good, it may lead to a waste of resources, including funds, manpower, energy, etc. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a poultry manure treatment system based on the Internet of Things is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: A poultry manure treatment system based on the Internet of Things, including: a designated monitoring area division module, used to extract the spatial distribution map of the target poultry farm, and divide the target poultry farm into several designated monitoring areas.

[0008] The environmental information data acquisition module is used to monitor the environmental information data of each designated monitoring area, obtain the environmental information data of each designated monitoring area, and then analyze the environmental correction factor of each designated monitoring area.

[0009] The manure and sewage treatment demand analysis module is used to monitor the manure and sewage information data of each designated monitoring area, obtain the manure and sewage information data of each designated monitoring area, analyze the manure and sewage treatment demand of each designated monitoring area, and then identify the manure and sewage treatment demand to obtain the designated monitoring area that needs to be treated as the area to be treated.

[0010] The manure and sewage treatment parameter setting module is used to adjust the manure and sewage treatment parameters of the areas to be treated based on the environmental correction factors of each designated monitoring area and the manure and sewage treatment needs, and then perform manure and sewage treatment on each area to be treated.

[0011] The separation processing module is used to perform solid-liquid separation operations on the processed material after manure treatment to obtain solid separation and liquid separation, and then perform subsequent processing on the solid separation and liquid separation respectively.

[0012] The manure and sewage treatment effect analysis module is used to obtain manure and sewage treatment quality data, and then determine whether there are any manure and sewage treatment anomalies in each area to be treated.

[0013] The data repository is used to store the spatial distribution map of the target poultry farm and the corresponding relationship between each chromaticity value and temperature.

[0014] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention analyzes the demand for manure and sewage treatment in each designated monitoring area based on the manure and sewage information data of each designated monitoring area, and then identifies the demand for manure and sewage treatment. This analysis method makes data-based decision-making more objective and scientific, which helps to improve the quality and accuracy of decision-making. The identification of manure and sewage treatment needs can provide real-time information feedback, which helps to adjust the treatment strategy in time and improve the flexibility and response speed of the treatment system.

[0015] (2) The present invention determines whether there are abnormalities in the treatment of manure and sewage in each area to be treated based on the manure and sewage treatment quality data. This analysis method can detect abnormalities in the treatment process early through real-time monitoring and data analysis, so that timely measures can be taken. At the same time, accurate identification of problems helps to avoid over-treatment or under-treatment, thereby reducing the waste of resources. It can formulate personalized treatment plans based on the characteristics and needs of different areas to be treated to improve the treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0018] Figure 2 This is a schematic diagram of the collection distance division of the present invention.

[0019] Figure numbers: 1 - collection distance, 2 - reference point, 3 - maximum distance from the reference point to the contour edge of the designated monitoring area, 4 - feces position, 5 - collection point, 6 - designated monitoring area. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides a poultry farming manure treatment system based on the Internet of Things, including a designated monitoring area division module, an environmental information data acquisition module, a manure treatment demand analysis module, a manure treatment parameter setting module, a separator treatment module, a manure treatment effect analysis module and a data storage library, wherein the designated monitoring area division module is connected to the environmental information data acquisition module, the environmental information data acquisition module is connected to the manure treatment demand analysis module, the manure treatment demand analysis module is connected to the manure treatment parameter setting module, the manure treatment parameter setting module is connected to the separator treatment module, the separator treatment module is connected to the manure treatment effect analysis module, and the data storage library is respectively connected to the designated monitoring area division module and the environmental information data acquisition module.

[0022] The designated monitoring area division module is used to extract the spatial distribution map of the target poultry farm and divide the target poultry farm into several designated monitoring areas.

[0023] It is necessary to further explain the reason for dividing the target poultry farm into several designated monitoring areas: through regional division, more specific management strategies can be formulated according to the characteristics and needs of different regions. Different regions may face different environmental conditions, manure types and treatment needs. Refined management helps to achieve differentiated treatment solutions. Through refined management, the problem of over-treatment or under-treatment can be avoided and the waste of resources can be reduced.

[0024] The environmental information data acquisition module is used to monitor the environmental information data of each designated monitoring area, obtain the environmental information data of each designated monitoring area, and then analyze the environmental correction factor of each designated monitoring area.

[0025] As a preferred feasible embodiment, the environmental information data includes temperature and poultry distribution density, and the specific acquisition method is as follows: using an infrared thermal imager to obtain infrared thermal images of each designated monitoring area, and then using image processing software to obtain each color area corresponding to the infrared thermal image of each designated monitoring area, the chromaticity value of each color area is matched with the corresponding relationship between each chromaticity value and temperature stored in the data storage library to obtain the temperature corresponding to each color area, and at the same time, the image processing software is used to obtain the area of ​​each color area corresponding to the infrared thermal image of each designated monitoring area.

[0026] It is necessary to further explain that the reasons for selecting temperature and poultry distribution density as environmental information data are: 1. Temperature has a direct impact on the activity of microorganisms involved in the manure treatment process. Different microorganisms have different activity performances in different temperature ranges, which is crucial to the decomposition rate of manure. 2. Excessive poultry distribution density may lead to untimely cleaning of manure, increase the risk of disease transmission, and affect the health of poultry.

[0027] It is necessary to further explain the reasons for using infrared thermal imaging technology to monitor the temperature of each designated detection area: infrared thermal imaging technology can obtain temperature information without touching the poultry, reducing the interference and stress caused to the poultry. Temperature measurement can be completed without direct contact, which will not destroy the natural living environment of the poultry. Infrared thermal imaging technology can provide real-time temperature distribution images, which helps to quickly identify abnormal conditions. Infrared thermal imaging technology can provide high-precision temperature measurement results, which helps to more accurately evaluate the growth environment of poultry.

[0028] Using the formula Get the temperature of each specified monitoring area ,in Indicates The area of ​​the designated monitoring area, Indicates Within the specified monitoring area The area of ​​the color region, Indicates Within the specified monitoring area The temperature corresponding to each color area is Indicates the number of the specified monitoring area. , Indicates the number of specified monitoring areas. Indicates the color area number, , Indicates the number of color regions.

[0029] The number of poultry in each designated monitoring area is obtained, and then the poultry distribution density in each designated monitoring area is obtained by calculating the ratio of the number of poultry in each designated monitoring area to the area of ​​the corresponding designated monitoring area.

[0030] As a preferred feasible embodiment, the specific process of analyzing the environmental correction factor of each designated monitoring area is as follows: using the formula Analyze and obtain the environmental correction factors for each designated monitoring area ,in Indicates The poultry distribution density in the designated monitoring area, Indicates the average poultry distribution density in the specified monitoring area. Indicates the real-time weather temperature. Represents a natural constant.

[0031] It should be further explained that the steps for analyzing the average poultry distribution density in the designated monitoring area are as follows: extract the poultry distribution density in each designated monitoring area, and calculate the mean of the poultry distribution density in each designated monitoring area to obtain the average poultry distribution density in the designated monitoring area.

[0032] For example, .

[0033] The manure and sewage treatment demand analysis module is used to monitor the manure and sewage information data of each designated monitoring area, obtain the manure and sewage information data of each designated monitoring area, analyze the manure and sewage treatment demand of each designated monitoring area, and then identify the manure and sewage treatment demand to obtain the designated monitoring area that needs to be treated as the area to be treated.

[0034] As a preferred feasible embodiment, the manure information data includes a manure distribution coefficient and a manure treatment difficulty coefficient, wherein the specific analysis steps of the manure distribution coefficient are as follows: using a three-dimensional scanning device to obtain three-dimensional scanning data of each designated monitoring area, and then obtaining the manure distribution position of each designated monitoring area.

[0035] It needs to be further explained that the reasons for selecting the manure distribution coefficient and the manure treatment difficulty coefficient as manure information data are: 1. The manure distribution coefficient is usually used to describe the uniformity or density of manure distribution in a specific area. The manure distribution coefficient is used to understand the distribution of manure and sewage, which is used to assess the health risks that may be caused by areas with dense manure distribution. 2. The manure treatment difficulty coefficient is usually used to measure the complexity and challenges of the manure treatment process. The manure treatment difficulty coefficient can help identify which treatment steps require special attention to improve the efficiency of the entire treatment process.

[0036] Three-dimensional data processing software is used to obtain the manure distribution area and manure distribution thickness corresponding to each manure distribution position in each designated monitoring area. The manure distribution areas corresponding to each manure distribution position in each designated monitoring area are accumulated to obtain the manure distribution area of ​​each designated monitoring area. At the same time, the manure distribution thickness corresponding to each manure distribution position in each designated monitoring area is averaged to obtain the manure distribution thickness of each designated monitoring area.

[0037] It should be further explained that manure distribution thickness refers to the average thickness of the manure layer in a certain area. This parameter reflects the accumulation of manure on the ground or other collection surfaces. By understanding the distribution of manure through manure distribution thickness, the layout of manure treatment facilities and the allocation of human resources can be optimized.

[0038] Using the formula Analyze and obtain the manure distribution coefficient of each designated monitoring area ,in Indicates The distribution area of ​​manure in the designated monitoring area, Indicates The manure distribution thickness in a designated monitoring area, Indicates the preset reference manure distribution thickness.

[0039] For example, .

[0040] It needs to be further explained that the basis for selecting the reference manure distribution thickness is: the reference manure distribution thickness refers to a preset value reached by the average thickness of the manure layer within a specific time period, which is used to guide the operation and management of manure treatment. The thickness of the manure layer is taken as a critical value, exceeding which the risk of pathogen accumulation may increase. At this thickness, cleaning is relatively easy and simpler equipment and techniques can be used.

[0041] As a preferred feasible embodiment, the specific analysis steps of the difficulty coefficient of manure treatment are as follows: Figure 2 As shown, the three-dimensional scanning data of each designated monitoring area obtained by using a three-dimensional scanning device is extracted, and then the center point of each designated monitoring area is obtained as a reference point, the center point of each feces and sewage distribution position in each designated monitoring area is recorded as a collection point, and the distance from each collection point to the reference point in each designated monitoring area is obtained and recorded as the collection distance corresponding to each feces and sewage distribution position.

[0042] Using the formula Analyze and obtain the difficulty coefficient of manure and sewage treatment in each designated monitoring area ,in Indicates Within the specified monitoring area The collection distance corresponding to the feces distribution location is Indicates The maximum distance from a reference point in a specified monitoring area to the contour edge of the specified monitoring area. Indicates Within the specified monitoring area The feces distribution area of ​​each feces distribution location, Indicates the location number of manure distribution. , Indicates the number of locations where manure is distributed.

[0043] As a preferred feasible embodiment, the manure and sewage treatment demand situation needs to construct a manure and sewage treatment demand index, and the specific analysis method is as follows: according to the analysis model Get the manure treatment demand index for each designated monitoring area ,in They respectively represent the weight factors corresponding to the manure distribution coefficient and the manure treatment difficulty coefficient.

[0044] For example, .

[0045] It needs to be further explained that in the analysis of the manure and sewage treatment demand index, the manure and sewage distribution coefficient is more important than the manure and sewage treatment difficulty coefficient. Uneven distribution of manure and sewage may pose greater challenges to treatment, so it is given a higher weight. When determining the weight factors corresponding to the manure and sewage distribution coefficient and the manure and sewage treatment difficulty coefficient, it is necessary to comprehensively consider the actual situation and target requirements. The determination of weight factors should be based on specific data analysis, industry experience and practical results to ensure the accuracy and practicality of the manure and sewage treatment demand index analysis. By reasonably setting weight factors, the formulation of manure and sewage treatment strategies can be effectively guided, treatment efficiency can be improved and costs can be reduced.

[0046] As a preferred feasible embodiment, the specific steps for identifying the need for manure and sewage treatment are as follows: the manure and sewage treatment demand index of each designated monitoring area is compared with the pre-set manure and sewage treatment demand index threshold. If the manure and sewage treatment demand index of a designated monitoring area is greater than the manure and sewage treatment demand index threshold, it is judged that manure and sewage treatment is required for the designated monitoring area; otherwise, it is judged that manure and sewage treatment is not required for the designated monitoring area.

[0047] Exemplarily, the manure treatment demand index threshold is .

[0048] It is necessary to further explain that when setting the threshold of the manure and sewage treatment demand index, it is necessary to comprehensively consider a variety of factors, including but not limited to actual demand, legal and regulatory requirements, environmental impact, economic efficiency, etc. By setting a reasonable threshold, it is possible to effectively guide the formulation of manure and sewage treatment strategies, improve treatment efficiency and reduce costs. The setting of thresholds should be based on specific data analysis, industry experience and practical results to ensure their accuracy and practicality.

[0049] It should be noted that the present invention analyzes the manure and sewage treatment needs of each designated monitoring area based on the manure and sewage information data of each designated monitoring area, and then identifies the manure and sewage treatment needs. This analysis method is more objective and scientific based on data decision-making, which helps to improve the quality and accuracy of decision-making. Identification of manure and sewage treatment needs can provide real-time information feedback, which helps to adjust the treatment strategy in time and improve the flexibility and response speed of the treatment system.

[0050] The manure treatment parameter setting module is used to adjust the manure treatment parameters of the areas to be treated based on the environmental correction factors of each designated monitoring area and the manure treatment needs, and then perform manure treatment on each area to be treated.

[0051] As a preferred feasible embodiment, the specific steps of adjusting the manure treatment parameters are as follows: extracting the manure treatment demand index of each area to be treated, using the formula Analyze and obtain the adjustment values ​​of manure treatment parameters in each area to be treated ,in Indicates the preset initial value of manure treatment parameters. Indicates the number of the area to be processed. , Indicates the number of regions to be processed.

[0052] Exemplarily, the manure treatment parameters may be water pressure and water flow rate.

[0053] Using Judgment Model Obtain the target manure treatment parameter adjustment value for each area to be treated ,in Indicates the maximum manure treatment parameter value allowed by the system.

[0054] It should be further explained that, taking water pressure as an example, the factors affecting the maximum manure treatment parameter value allowed by the system are: 1. The design specifications of the digestion tank, including volume, shape and material. 2. Considering structural safety, avoid excessive water pressure that may cause damage to the tank. 3. Appropriate water pressure helps maintain the stability and efficiency of the digestion process. 4. Too high or too low water pressure may affect the convenience and safety of operation. 5. Environmental factors such as temperature and humidity may also affect the setting of water pressure. For example, taking water pressure as an example, the maximum manure treatment parameter value allowed by the system is .

[0055] The separation processing module is used to perform solid-liquid separation operations on the processed material after the feces treatment to obtain a solid separation and a liquid separation, and then perform subsequent processing on the solid separation and the liquid separation respectively.

[0056] It should be further explained that the subsequent treatment of the solid separator and the liquid separator is as follows: 1. The solid separator mainly refers to the solid part obtained after the solid-liquid separation of the manure, which usually contains more organic matter and nutrients. The solid separator is mixed with other organic wastes and converted into organic fertilizer through the action of microorganisms. 2. The liquid separator mainly refers to the liquid part obtained after the solid-liquid separation of the manure, which usually contains dissolved nutrients and some organic matter. The liquid separator is converted into biogas (methane) through anaerobic digestion technology, while reducing the organic content.

[0057] The manure and sewage treatment effect analysis module is used to obtain manure and sewage treatment quality data, and then determine whether there is any manure and sewage treatment abnormality in each area to be treated.

[0058] As a preferred feasible embodiment, the manure and sewage treatment quality data is specifically the manure and sewage treatment rate, which is specifically analyzed as follows: a three-dimensional scanning device is used to obtain the manure and sewage distribution area of ​​each area to be treated in real time, and then a manure and sewage distribution area change curve of each area to be treated is drawn with time as the horizontal coordinate and the manure and sewage distribution area of ​​each area to be treated as the vertical coordinate, and a number of monitoring points are evenly arranged on the manure and sewage distribution area change curve of each area to be treated, and the slope of each monitoring point in the manure and sewage distribution area change curve corresponding to each area to be treated is obtained, and then the absolute value of the slope of each monitoring point in the manure and sewage distribution area change curve corresponding to the area to be treated is averaged to obtain the manure and sewage treatment rate of each area to be treated.

[0059] As a preferred feasible embodiment, the determination of whether there is an abnormality in manure and sewage treatment is as follows: the manure and sewage treatment rate of each area to be treated is compared with a preset manure and sewage treatment rate threshold. If the manure and sewage treatment rate of a certain area to be treated is greater than or equal to the manure and sewage treatment rate threshold, it is determined that there is no abnormality in manure and sewage treatment in the area to be treated; otherwise, it is determined that there is an abnormality in manure and sewage treatment in the area to be treated.

[0060] It should be further explained that the manure and sewage treatment rate in the present invention refers to the manure and sewage treatment area per unit time. The manure and sewage treatment rate threshold needs to take into account a variety of factors, including but not limited to actual needs, legal and regulatory requirements, environmental impact, and economic efficiency. Through reasonable threshold setting, it is possible to effectively guide the formulation of manure and sewage treatment strategies, improve treatment efficiency, and reduce costs. The setting of thresholds should be based on specific data analysis, industry experience, and practical results to ensure their accuracy and practicality. Exemplarily, the manure and sewage treatment rate threshold is .

[0061] It should be noted that the present invention determines whether there are abnormalities in the treatment of manure and sewage in each area to be treated based on the manure and sewage treatment quality data. This analysis method can detect abnormalities in the treatment process early through real-time monitoring and data analysis, so that timely measures can be taken. At the same time, accurate identification of problems helps to avoid over-treatment or under-treatment, thereby reducing waste of resources. It can formulate personalized treatment plans based on the characteristics and needs of different areas to be treated to improve the treatment effect.

[0062] The data storage library is used to store the spatial distribution map of the target poultry farm and the corresponding relationship between each chromaticity value and temperature.

[0063] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A poultry manure treatment system based on the Internet of Things, characterized in that: include: A designated monitoring area division module is used to extract the spatial distribution map of the target poultry farm and divide the target poultry farm into several designated monitoring areas; The environmental information data acquisition module is used to monitor the environmental information data of each designated monitoring area, obtain the environmental information data of each designated monitoring area, and then analyze the environmental correction factor of each designated monitoring area; The manure and sewage treatment demand analysis module is used to monitor the manure and sewage information data of each designated monitoring area, obtain the manure and sewage information data of each designated monitoring area, analyze the manure and sewage treatment demand of each designated monitoring area, and then identify the manure and sewage treatment demand to obtain the designated monitoring area that needs to be treated as the area to be treated; A manure treatment parameter setting module is used to adjust the manure treatment parameters of the treatment area based on the environmental correction factor of each designated monitoring area and the manure treatment demand, and then perform manure treatment on each treatment area; The separation processing module is used to perform solid-liquid separation operation on the treated material after the feces treatment to obtain solid separation and liquid separation, and then perform subsequent processing on the solid separation and the liquid separation respectively; The manure and sewage treatment effect analysis module is used to obtain manure and sewage treatment quality data, and then determine whether there are abnormalities in manure and sewage treatment in each area to be treated; A data repository for storing a spatial distribution map of target poultry farms and a corresponding relationship between each chromaticity value and temperature; The specific process of analyzing the environmental correction factors of each designated monitoring area is as follows: Using the formula Analyze and obtain the environmental correction factors for each designated monitoring area ,in Indicates The poultry distribution density in the designated monitoring area, Indicates the average poultry distribution density in the specified monitoring area. Indicates the real-time weather temperature. Indicates the temperature of each designated monitoring area. represents a natural constant; The specific steps of adjusting the manure treatment parameters are as follows: Extract the manure treatment demand index of each area to be treated , using the formula Analyze and obtain the adjustment values ​​of manure treatment parameters in each area to be treated ,in Indicates the preset initial value of manure treatment parameters. Indicates the area number to be processed. , Indicates the number of areas to be processed; Using Judgment Model Obtain the target manure treatment parameter adjustment value for each area to be treated ,in Indicates the maximum manure treatment parameter value allowed by the system.

2. The poultry manure treatment system based on the Internet of Things according to claim 1, characterized in that: The environmental information data includes temperature and poultry distribution density, and the specific acquisition method is as follows: An infrared thermal imager is used to obtain infrared thermal images of each designated monitoring area, and then image processing software is used to obtain each color area corresponding to the infrared thermal images of each designated monitoring area, and the chromaticity value of each color area is matched with the corresponding relationship between each chromaticity value and temperature stored in the data storage library to obtain the temperature corresponding to each color area, and the image processing software is used to obtain the area of ​​each color area corresponding to the infrared thermal images of each designated monitoring area; Using the formula Get the temperature of each specified monitoring area ,in Indicates The area of ​​the designated monitoring area, Indicates Within the specified monitoring area The area of ​​the color region, Indicates Within the specified monitoring area The temperature corresponding to each color area is Indicates the number of the specified monitoring area. , Indicates the number of specified monitoring areas. Indicates the color area number, , Indicates the number of color areas; The number of poultry in each designated monitoring area is obtained, and then the poultry distribution density in each designated monitoring area is obtained by calculating the ratio of the number of poultry in each designated monitoring area to the area of ​​the corresponding designated monitoring area.

3. The poultry manure treatment system based on the Internet of Things according to claim 1, characterized in that: The manure information data includes a manure distribution coefficient and a manure treatment difficulty coefficient, wherein the specific analysis steps of the manure distribution coefficient are as follows: Using a three-dimensional scanning device to obtain three-dimensional scanning data of each designated monitoring area, and then obtain the distribution position of feces and sewage in each designated monitoring area; The feces and sewage distribution area and the feces and sewage distribution thickness corresponding to each feces and sewage distribution position in each designated monitoring area are obtained by using three-dimensional data processing software, and the feces and sewage distribution areas corresponding to each feces and sewage distribution position in each designated monitoring area are accumulated to obtain the feces and sewage distribution areas of each designated monitoring area. At the same time, the feces and sewage distribution thicknesses corresponding to each feces and sewage distribution position in each designated monitoring area are averaged to obtain the feces and sewage distribution thickness of each designated monitoring area; Using the formula Analyze and obtain the manure distribution coefficient of each designated monitoring area ,in Indicates The distribution area of ​​manure in the designated monitoring area, Indicates The thickness of manure distribution in a designated monitoring area, Indicates the preset reference manure distribution thickness.

4. The poultry manure treatment system based on the Internet of Things as claimed in claim 3, characterized in that: The specific analysis steps of the difficulty coefficient of manure treatment are as follows: Extract the three-dimensional scanning data of each designated monitoring area obtained by using a three-dimensional scanning device, and then obtain the center point of each designated monitoring area as a reference point, record the center point of each feces and sewage distribution position in each designated monitoring area as a collection point, obtain the distance from each collection point to the reference point in each designated monitoring area, and record it as the collection distance corresponding to each feces and sewage distribution position; Using the formula Analyze and obtain the difficulty coefficient of manure and sewage treatment in each designated monitoring area ,in Indicates Within the specified monitoring area The collection distance corresponding to the feces distribution location is Indicates The maximum distance from a reference point in a specified monitoring area to the contour edge of the specified monitoring area. Indicates Within the specified monitoring area The feces distribution area of ​​each feces distribution location, Indicates the location number of manure distribution. , Indicates the number of locations where manure is distributed.

5. The poultry manure treatment system based on the Internet of Things as claimed in claim 4, characterized in that: The demand for manure and sewage treatment requires the construction of a manure and sewage treatment demand index, and the specific analysis method is as follows: According to the analysis model Get the manure treatment demand index for each designated monitoring area ,in They respectively represent the weight factors corresponding to the manure distribution coefficient and the manure treatment difficulty coefficient.

6. The poultry manure treatment system based on the Internet of Things according to claim 5, characterized in that: The specific steps for identifying the need for manure and sewage treatment are as follows: The manure and sewage treatment demand index of each designated monitoring area is compared with the pre-set manure and sewage treatment demand index threshold. If the manure and sewage treatment demand index of a designated monitoring area is greater than the manure and sewage treatment demand index threshold, it is judged that manure and sewage treatment is required for the designated monitoring area; otherwise, it is judged that manure and sewage treatment is not required for the designated monitoring area.

7. The poultry manure treatment system based on the Internet of Things according to claim 1, characterized in that: The data on the quality of manure and sewage treatment is specifically the manure and sewage treatment rate, and the specific analysis is as follows: A three-dimensional scanning device is used to obtain the feces and sewage distribution area of ​​each area to be treated in real time, and then the feces and sewage distribution area change curve of each area to be treated is drawn with time as the horizontal coordinate and the feces and sewage distribution area of ​​each area to be treated as the vertical coordinate. A number of monitoring points are evenly arranged on the feces and sewage distribution area change curve of each area to be treated, and the slope of each monitoring point in the feces and sewage distribution area change curve corresponding to each area to be treated is obtained. Then, the absolute value of the slope of each monitoring point in the feces and sewage distribution area change curve corresponding to the area to be treated is averaged to calculate the feces and sewage treatment rate of each area to be treated.

8. The poultry manure treatment system based on the Internet of Things according to claim 7, characterized in that: The determination of whether there is an abnormality in manure and sewage treatment is as follows: The manure and sewage treatment rate of each area to be treated is compared with the pre-set manure and sewage treatment rate threshold. If the manure and sewage treatment rate of a certain area to be treated is greater than or equal to the manure and sewage treatment rate threshold, it is judged that there is no manure and sewage treatment abnormality in the area to be treated; otherwise, it is judged that there is manure and sewage treatment abnormality in the area to be treated.

Images