Pig farm breeding data intelligent detection traceability system and method

Abstract

The invention discloses an intelligent detection and traceability system and method for pig farm breeding data, relates to the technical field of pig farm monitoring, and aims to solve the technical problems that breeding risks are difficult to estimate and hidden dangers exist in pork quality safety due to the lack of a traceability method and a management system in current pig farm breeding. Comprising a multi-type sensor network, a video monitoring system, a wireless communication network, and data encryption and secure transmission. According to the invention, a traceability system for live pigs from breeding to slaughtering can be established, a convenient traceability query function is provided for consumers through a block chain traceability system and a decision support system, and targeted breeding decision support is provided for farmers. According to the invention, pig farm breeding data can be collected and analyzed comprehensively, accurately and intelligently, and stored and inquired through the block chain traceability platform; and real-time early warning and decision support can be provided for live pig production and breeding of farmers. According to the invention, the modernization and intelligence level of the pig breeding industry can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pig farm monitoring, and more specifically, to a system and method for intelligent detection and tracing of pig farm breeding data. Background Art

[0002] With the increasing supervision of pork food safety and the public's awareness of pork quality and safety, pork quality and safety have attracted widespread attention, but the current situation of pork quality and safety is not optimistic. The outbreak of several vicious pork incidents in recent years shows that the current pork quality and safety issues still exist to a considerable extent, and there are still many hidden dangers in pork quality and safety in the meat market, and the situation is still quite serious.

[0003] Although my country has taken a series of management measures for pork quality and safety, there are not many measures to strengthen pork quality and safety from the source. The existing measures mainly ensure pork quality and safety by detecting the content of harmful substances in pork or various links in pork slaughtering, processing and circulation. However, the management measures for the source of pork quality and safety - pig breeding are still insufficient, and the supervision of the pig breeding process is very weak. In addition, pig breeding management currently lacks a complete, scientific and effective management method and management system. Traditional breeding methods lead to the lack of breeding data records, there is no reliable traceability path for breeding quality, and breeding risks are difficult to estimate. Pig farmers have neither the enthusiasm nor the ability to pay attention to the hidden dangers of pork quality and safety. In view of this, we propose a system and method for intelligent detection and traceability of pig farm breeding data. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art, adapt to actual needs, and provide a pig farm breeding data intelligent detection and traceability system and method to solve the technical problems that the current pig farm breeding lacks traceability methods and management systems, resulting in breeding risks that are difficult to estimate and hidden dangers in pork quality and safety.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a pig farm breeding data intelligent detection and traceability system, comprising:

[0006] The data collection layer includes a multi-type sensor network, a video monitoring system, a wireless communication network, and data encryption and secure transmission. It is used to collect environmental data and individual pig data in the pig house using a multi-type sensor network and a video monitoring system, and upload the data to the big data processing and analysis layer through a wireless communication network and data encryption and secure transmission;

[0007] The data processing and analysis layer is used to use the big data platform for data analysis and mining, and to analyze and judge the environmental status of the pig house and the health status of individual pigs through intelligent analysis models, and upload the data analysis results to the traceability and decision support layer;

[0008] The traceability and decision support layer is used to realize traceability query and effective supervision through the blockchain traceability system, and to provide breeding suggestions and early warning information through the decision support system.

[0009] Preferably, the multi-type sensor network includes a temperature and humidity sensor network, a CO2 concentration sensor network, an ammonia concentration sensor network, a light sensor network, a hydrogen sulfide sensor network, and a micro switch network;

[0010] The temperature and humidity sensor network includes a plurality of temperature and humidity sensors for acquiring temperature and humidity data at various points in the pig house;

[0011] The CO2 concentration sensor network includes a plurality of CO2 concentration sensors for obtaining the CO2 concentration in the pig house;

[0012] The ammonia concentration sensor network includes a plurality of ammonia concentration sensors for obtaining the ammonia concentration in the pig house;

[0013] The light sensor network includes a plurality of light sensors for acquiring data of light intensities in the pig house;

[0014] The hydrogen sulfide sensor network includes a plurality of hydrogen sulfide sensors for acquiring hydrogen sulfide data in the pig house;

[0015] The micro switch network includes a plurality of micro switches for obtaining individual status data of pigs.

[0016] Preferably, the video monitoring system includes a camera for acquiring individual and group activities of pigs;

[0017] The wireless communication network is used for wired or wireless data transmission between the sensor network and the video monitoring system;

[0018] The data encryption and secure transmission are used to encrypt the data and transmit it to the server via a wireless network, thereby ensuring the security and reliability of the data.

[0019] Preferably, the data processing and analysis layer includes a big data processing platform and an intelligent analysis model;

[0020] The big data processing platform includes data access and management, data storage, data processing and analysis, and result presentation;

[0021] The data access and management is used to provide data set standardization, data collection and cleaning, data preprocessing, and data analysis;

[0022] The data storage includes storage type, storage structure, and storage method, which are used to realize data storage and management;

[0023] The data processing and analysis is used to obtain environmental quality indicators and individual pig status indicators by data cleaning, data analysis and data mining of the input data;

[0024] The results are presented by means of bar graphs, pie charts, and curve graphs to show the environmental quality results and the individual pig status results;

[0025] The intelligent analysis model includes an environmental quality analysis model and a pig individual status analysis model;

[0026] The environmental quality analysis model is used to analyze and judge the environmental quality of the pig house;

[0027] The individual pig status analysis model is used to analyze and judge the health status of individual pigs.

[0028] Preferably, the traceability and decision support layer includes a blockchain traceability management system and a decision support system;

[0029] The blockchain traceability management system includes a traceability module, a sharing module, a storage module, and a supervision module, which are used for data storage, traceability, supervision and early warning mechanisms, and provide breeding suggestions;

[0030] The traceability module is used for data traceability query, and according to the traceability query results, the breeding mode and breeding level of each farmer are understood;

[0031] The sharing module is used to achieve docking with the network platform and realize convenient use of the traceability system;

[0032] The storage module is used to implement data storage;

[0033] The supervision module is used for supervision and management by the regulatory authorities to understand the products and breeding environment of the farmers;

[0034] The decision support system is used to establish a decision support system based on data analysis and data mining on a big data platform and an artificial intelligence system to provide breeding advice and decision support.

[0035] A method for implementing a pig farm breeding data intelligent detection and traceability system comprises the following steps:

[0036] S1: Data collection and secure transmission: Environmental data and individual pig data in the pig house are collected through multi-type sensor networks and video monitoring systems, and data transmission and encryption are achieved using wireless communication networks and data encryption and secure transmission;

[0037] S2: Data analysis and intelligent judgment: use the big data platform to conduct data analysis and mining, and use intelligent analysis models to analyze and judge the pig house environment and the health status of individual pigs;

[0038] S3: In-depth analysis and indicator definition: multi-level data analysis, data mining and evaluation are carried out based on the collected data to obtain the level and range of the corresponding environmental quality and pig status indicators;

[0039] S4: Traceability construction and supervision guarantee, establish a blockchain traceability system to achieve traceability query and effective supervision;

[0040] S5: Decision support and early warning prompts, establish a decision support system, and provide breeding suggestions and early warning information.

[0041] Preferably, the step S2 includes step S201:

[0042] S201: A big data platform is used to analyze data collected by multiple types of sensors, and intelligent detection methods are used to analyze and evaluate the environmental status inside the pig house. The standards and basis for the analysis and evaluation are GB / T8808, GB18596, GB / T18599, GB14143 and GB / T18883.

[0043] Preferably, the step S3 includes step S301;

[0044] S301: According to the standards and basis for analysis and evaluation, the environmental quality indicators and individual pig status indicators are analyzed and evaluated, the evaluation values ​​are normalized to [0,1], and three levels are defined: [1,0.8] excellent, [0.8,0.6] medium, and [0.6,0] poor. Finally, the evaluation results are presented using tree diagrams and bar charts.

[0045] Preferably, the step S5 includes steps S501, S502, and S503;

[0046] S501: Analyze the results through the big data platform, give suggestions for decision support, and implement the query of decision support suggestions and early warning information through the expert system and knowledge system;

[0047] S502: The decision support system can issue warnings after analyzing and evaluating the collected data, and give warning levels, which are divided into 4 levels, represented by safe, low, moderate, and dangerous, and upload the warning information to the blockchain traceability management system for storage;

[0048] S503: The decision support system interacts with the decision maker information system to share data, thereby supporting the decision-making of farmers.

[0049] Preferably, the method further comprises step S6;

[0050] S6: During the breeding process, farmers continuously provide feedback on data and early warning information, conduct multiple comprehensive analyses, and continuously evaluate and improve the breeding model and breeding environment of the pig farm.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] (1) The present invention proposes an intelligent detection and traceability system for pig farm breeding data, applies advanced technologies such as the Internet of Things, blockchain, big data, and artificial intelligence to the pig breeding process, and transforms the traditional extensive and random management method of pig breeding information into refined and precise management. The pig breeding data is uploaded and stored in the blockchain traceability system in real time, and an animal information query code and a consumer traceability query system are generated, thereby achieving the traceability, transparency, and reliability of breeding data, and providing pig breeding decision support services, thereby improving the modernization and intelligence level of the pig breeding industry.

[0053] (2) The present invention proposes the concept of a data acquisition layer, which includes a sensor network and a video monitoring system. Various sensors in the sensor network can collect environmental information such as temperature, humidity, light intensity, CO2 concentration, ammonia concentration, etc. in the pig house in real time and in all directions, and provide real-time and accurate feedback on the environmental parameters in the pig house. The video monitoring system can collect video images and analyze the frequency and rate of the pigs' lying, walking, and eating, so as to determine the health status of the pigs.

[0054] (3) The present invention proposes the concept of a data analysis and mining layer, which includes a big data platform and an intelligent analysis model. It can realize data processing, self-adjustment of acquisition frequency, data storage, analysis, prediction and evaluation, expert knowledge and other data analysis and mining for the data collected by multiple types of sensors in the data acquisition layer, thereby obtaining the environmental quality in the pig house and the health status of individual pigs.

[0055] (4) The present invention proposes the concept of traceability and decision support layer. On the basis of the blockchain traceability management system, it can realize traceability query, social sharing function and supervision by regulatory departments. According to the data of pig house environment and pig monitoring, the data can be uploaded to the blockchain system for traceability query; WeChat, Weibo, and QQ sharing can be realized through the blockchain traceability management system; the breeding conditions of the pig farm can be monitored in real time through the supervision module; and scientific breeding suggestions such as breeding suggestions, expert knowledge, and expert systems can be provided through the decision support system. The concept of traceability and decision support layer realizes the accuracy of intelligent detection and traceability.

[0056] (5) The present invention proposes a technical method for the combined application of multiple types of sensor networks and video monitoring systems, which uses sensors combined with video monitoring systems to comprehensively analyze pig farm data, greatly improving the monitoring effect of the pig farm.

[0057] (6) The present invention proposes a method for collecting pig farm breeding data, analyzing and evaluating environmental quality information, and uses an analysis method based on deep learning and classifiers to obtain an evaluation of environmental quality.

[0058] (7) The present invention proposes a blockchain traceability management system, which can not only realize traceability query, but also provide expert advice and expert knowledge to the public. In addition, the pig farm traceability information can be conveniently accessed through WeChat, Weibo, QQ, supervision modules, etc., which improves the efficiency of traceability query.

[0059] (8) Through multi-level analysis and processing of the collected data, the environmental parameter indicators in the pig house and the level and range of the individual pig status are obtained, which helps farmers to timely understand the environmental quality in the pig house and the health status of individual pigs, and with the support of the breeding decision support system, improve the level of modernization and intelligence of pig breeding.

[0060] (9) The wireless communication network in the present invention uses the LoRaWAN technical solution, and transmits the data collected by the data collection layer to the data processing and analysis layer through the LoRaWAN protocol to achieve data transmission. The digital summary algorithm is used to ensure the uniqueness and security of the data.

[0061] (10) The blockchain traceability management system of the present invention realizes traceability query, social sharing, supervision by regulatory authorities and other functions based on blockchain technology. The blockchain traceability system not only provides a traceability query interface, but also can realize convenient query and use of the system through social sharing interfaces such as WeChat, Weibo, QQ, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 It is a structural schematic diagram of the present invention;

[0063] Figure 2 This is a structural schematic diagram of a pig farm breeding data intelligent detection and traceability system of the present invention;

[0064] Figure 3 This is a structural schematic diagram of a data acquisition layer of a pig farm breeding data intelligent detection and traceability system of the present invention;

[0065] Figure 4 This is a structural schematic diagram of a data processing and analysis layer of a pig farm breeding data intelligent detection and traceability system of the present invention;

[0066] Figure 5 This is a structural schematic diagram of the traceability and decision support layer of the pig farm breeding data intelligent detection and traceability system of the present invention. DETAILED DESCRIPTION

[0067] Embodiment 1, as Figures 2 to 4As shown, the present invention relates to an intelligent detection and tracing system for pig farm breeding data, the main purpose of which is to install various types of sensors and video monitoring devices in the pig house to obtain the environmental data of the pig house and the individual data of the pigs, and upload the data to the data processing and analysis platform through the wireless communication network, establish a big data platform and an intelligent analysis model, and make precise and intelligent decisions on pig breeding based on the pig farm breeding data. The present invention uses a wireless sensor network and a video monitoring system to collect data, and uses wireless communication technology for data transmission; the system uses big data technology to mine, fuse and analyze a large amount of sensor data, and obtains breeding decision support for farmers through the established intelligent analysis model. At the traceability and decision support layer, a blockchain traceability system is established to ensure the security and reliability of traceability queries; and a decision support system is used to provide product traceability queries for consumers and production decision support for farmers.

[0068] The present invention is implemented through the following technical scheme: the system consists of three levels: data collection layer, data processing and analysis layer, and traceability and decision support layer.

[0069] The data collection layer is the bottom layer of the system, which consists of multi-type sensor networks, video monitoring systems, wireless communication networks, data encryption and secure transmission. It is used to collect environmental data and individual pig data in the pig house. Multi-type sensor networks and video monitoring systems collect information in real time, and the collected data provides important decision support for the system. The video monitoring system is used to collect individual pig information, and the multi-type sensor network is used to collect environmental data in the pig house.

[0070] The video surveillance system transmits the collected individual information of each pig to the edge service platform through the 4G wireless network. The multi-type sensor network transmits the collected data to the corresponding data storage. The temperature sensor, humidity sensor, air quality monitor and other data in the multi-type sensor network are sent to the data storage through the LoRaWAN wireless network. The camera, infrared sensor and other data are sent to the data storage through wifi or 4G wireless network. Each data storage encrypts the received data and transmits the data to the edge service platform (data processing and analysis layer) through the 4G wireless network.

[0071] The data processing and analysis layer consists of a big data platform and an intelligent analysis model, which is used for real-time data processing, mining and analysis. The individual information of each pig transmitted from the video surveillance system is stored in the edge service platform; each data storage device encrypts the received data and transmits the data to the edge service platform through the 4G wireless network; then after data preprocessing, cleaning and classification, each data is trained and learned through an artificial intelligence analysis algorithm, and a big data platform and intelligent analysis module are established to analyze environmental data.

[0072] The traceability and decision support layer consists of a blockchain traceability system and a decision support system, which are used for traceability query and breeding decision support. The blockchain traceability system can query and manage the traceability data and historical data of this traceability system, and return the query results to the management platform in real time; the decision support system can conduct comprehensive data analysis and decision support based on the data information collected by the data collection layer and the information obtained by the big data platform and intelligent analysis model in the data processing layer.

[0073] in:

[0074] 1. The multi-type sensor network includes temperature sensors, humidity sensors, air quality monitors, smoke sensors, cameras, infrared sensors, etc., and is composed of modules such as data acquisition modules and data processing modules; the data acquisition module is used to collect sensor data, and the data processing module includes modules such as A / D conversion, which are used to convert the analog data collected by the sensor into digital data.

[0075] 2. The video surveillance system is used to collect video information and provide important guidance and decision-making support for farmers to manage pigs. It consists of high-definition cameras, video cameras, PTZ controllers, video capture cards, etc.

[0076] 3. Wireless communication network: LoRaWAN communication network and wifi communication network, mainly used to transmit data from the data acquisition layer;

[0077] 4. Data storage: It is a local data server, containing data collected by various sensor networks and video surveillance systems;

[0078] 5. The big data platform and intelligent analysis model are used to clean, mine, integrate and analyze the collected data. The results of the analysis can be entered into the decision support system for real-time management;

[0079] 6. The blockchain traceability system is used to trace the source of pig farm breeding data, providing consumers with efficient and reliable traceability query services. According to the traceability query provided by consumers, the query results are returned to the management platform in real time;

[0080] 7. Based on the traceability query results and data analysis results, the decision support system provides consumers with product traceability query functions, provides production decision support for farmers, and provides production safety guarantees for consumers.

[0081] The pig house environment and individual pig data can be saved and updated through this system. After the relevant data is queried in the blockchain traceability system, the data can be returned to farmers and consumers and stored in the local database to achieve dynamic management.

[0082] Embodiment 2, as Figure 1As shown, the present invention provides a method for implementing a pig farm breeding data intelligent detection and traceability system, and the implementation steps are as follows:

[0083] S1: Data collection and secure transmission. Environmental data and individual pig data in the pig house are collected through multi-type sensor networks and video monitoring systems. Wireless communication networks and data encryption and secure transmission are used to achieve data transmission and encryption. Various sensor networks and video monitoring systems are installed in the pig house to collect environmental data and individual pig data in the pig farm in real time around the clock, and transmit the data to the data storage device through the wireless communication network. The system uses wireless communication technologies such as LoRaWAN and wifi communication technologies for data transmission.

[0084] S2: Data analysis and intelligent judgment: Use the big data platform to perform data analysis and mining, and use intelligent analysis models to analyze and judge the pig house environment and the health status of individual pigs. Various sensor data transmitted from the data storage are encrypted and sent to the edge service platform. Individual information transmitted by the video surveillance system through the 4G wireless network is directly stored in the local database. After data preprocessing, cleaning and classification, the environmental data is analyzed through multi-type big data analysis algorithms.

[0085] S201: A big data platform is used to analyze data collected by multiple types of sensors, and intelligent detection methods are used to analyze and evaluate the environmental status inside the pig house. The standards and basis for the analysis and evaluation are GB / T8808, GB18596, GB / T18599, GB14143 and GB / T18883.

[0086] S3: In-depth analysis and indicator definition: multi-level data analysis, data mining and evaluation are carried out based on the collected data to obtain the level and range of the corresponding environmental quality and pig status indicators; at the traceability and decision support layer, a safe, efficient and reliable blockchain traceability system is established based on blockchain technology to ensure the security and reliability of traceability queries; the decision support system integrates multi-source data and provides breeding decision support based on data analysis results;

[0087] S301: According to the standards and basis for analysis and evaluation, the environmental quality indicators and individual pig status indicators are analyzed and evaluated, the evaluation values ​​are normalized to [0,1], and three levels are defined: [1,0.8] excellent, [0.8,0.6] medium, and [0.6,0] poor. Finally, the evaluation results are presented using tree diagrams and bar charts.

[0088] S4: Traceability construction and regulatory guarantee, establish a blockchain traceability system to realize traceability query and effective supervision; consumers or farmers can query breeding records through the blockchain traceability system and decision support system, and obtain data information on the entire process of pig breeding to slaughter; farmers carry out intelligent management and decision-making based on the breeding decision support of the decision support system.

[0089] S5: Decision support and early warning prompts, establish a decision support system, give breeding suggestions and early warning information; the present invention is based on the architecture of data collection layer, data transmission layer, data processing and analysis layer, traceability and decision support layer, and realizes the function of pig farm breeding data collection to traceability query based on the support of technologies such as multi-type sensor networks, video monitoring systems, and wireless communication networks;

[0090] S501: Analyze the results through the big data platform, give suggestions for decision support, and implement the query of decision support suggestions and early warning information through the expert system and knowledge system;

[0091] S502: The decision support system can issue warnings after analyzing and evaluating the collected data, and give warning levels, which are divided into 4 levels, represented by safe, low, moderate, and dangerous, and upload the warning information to the blockchain traceability management system for storage;

[0092] S503: The decision support system interacts with the decision maker information system to share data, thereby supporting the decision-making of farmers.

[0093] S6: During the breeding process, farmers continuously provide feedback on data and early warning information, conduct multiple comprehensive analyses, and continuously evaluate and improve the breeding model and breeding environment of the pig farm.

[0094] The various sensor networks in the above step S1 collect the ambient temperature, humidity, air quality and smoke concentration data of the pig house, and send the above data to the data storage device via WiFi wireless transmission; the collected data from the camera, infrared sensor, etc. are sent to the data storage device via WiFi or 4G wireless transmission.

[0095] Through the edge service platform in the above step S2, LoRaWAN wireless communication technology is adopted to update the sensor data in the data storage in real time, and 4G wireless network is used to upload data; multi-type data analysis algorithms are built on the distributed big data architecture based on Hadoop, including data cleaning, feature extraction, data mining and fusion of big data, so as to realize the fusion analysis of massive data.

[0096] Through the blockchain traceability system in step S3 above, data traceability management is realized, convenient query services are provided, and farmers are helped to establish a traceable database of the pig breeding process. In combination with the decision support system, intelligent decision support is provided for farmers.

[0097] Through the traceability query function in the above step S4, farmers or consumers can conduct traceability queries. According to the traceability query results, farmers can obtain breeding decision support, so as to carry out pig breeding in a more targeted manner.

[0098] Through the pig farm breeding data intelligent detection and traceability system architecture in the above step S5, the collection and traceability query of pig farm breeding data will be realized.

[0099] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. An intelligent detection and traceability system for pig farm breeding data, characterized in that: include: The data collection layer includes a multi-type sensor network, a video monitoring system, a wireless communication network, and data encryption and secure transmission. It is used to collect environmental data and individual pig data in the pig house using a multi-type sensor network and a video monitoring system, and upload the data to the big data processing and analysis layer through a wireless communication network and data encryption and secure transmission; The data processing and analysis layer is used to use the big data platform for data analysis and mining, and to analyze and judge the environmental status of the pig house and the health status of individual pigs through intelligent analysis models, and upload the data analysis results to the traceability and decision support layer; The traceability and decision support layer is used to realize traceability query and effective supervision through the blockchain traceability system, and to provide breeding suggestions and early warning information through the decision support system.

2. According to claim 1, a pig farm breeding data intelligent detection and traceability system is characterized in that: The multi-type sensor network includes a temperature and humidity sensor network, a CO2 concentration sensor network, an ammonia concentration sensor network, a light sensor network, a hydrogen sulfide sensor network, and a micro switch network; The temperature and humidity sensor network includes a plurality of temperature and humidity sensors for acquiring temperature and humidity data at various points in the pig house; The CO2 concentration sensor network includes a plurality of CO2 concentration sensors for obtaining the CO2 concentration in the pig house; The ammonia concentration sensor network includes a plurality of ammonia concentration sensors for obtaining the ammonia concentration in the pig house; The light sensor network includes a plurality of light sensors for acquiring data of light intensities in the pig house; The hydrogen sulfide sensor network includes a plurality of hydrogen sulfide sensors for acquiring hydrogen sulfide data in the pig house; The micro switch network includes a plurality of micro switches for obtaining individual status data of pigs.

3. According to claim 2, a pig farm breeding data intelligent detection and traceability system is characterized in that: The video monitoring system includes a camera for obtaining the activities of individual and group pigs; The wireless communication network is used for wired or wireless data transmission between the sensor network and the video monitoring system; The data encryption and secure transmission are used to encrypt the data and transmit it to the server via a wireless network, thereby ensuring the security and reliability of the data.

4. According to claim 3, a pig farm breeding data intelligent detection and traceability system is characterized in that: The data processing and analysis layer includes a big data processing platform and an intelligent analysis model; The big data processing platform includes data access and management, data storage, data processing and analysis, and result presentation; The data access and management is used to provide data set standardization, data collection and cleaning, data preprocessing, and data analysis; The data storage includes storage type, storage structure, and storage method, which are used to realize data storage and management; The data processing and analysis is used to obtain environmental quality indicators and individual pig status indicators by data cleaning, data analysis and data mining of the input data; The results are presented by means of bar graphs, pie charts, and curve graphs to show the environmental quality results and the individual pig status results; The intelligent analysis model includes an environmental quality analysis model and a pig individual status analysis model; The environmental quality analysis model is used to analyze and judge the environmental quality of the pig house; The individual pig status analysis model is used to analyze and judge the health status of individual pigs; During the data processing and analysis layer analysis, the temperature suitability index (T s ), considering that pigs have different adaptability to temperature at different growth stages, the suitable temperature range for pigs is [T min , T max ], the actual measured temperature is T, then the temperature suitability index formula can be expressed as: Among them, T opt is the optimum temperature for pigs at this growth stage. When the actual temperature is within the appropriate range, T s The closer it is to 1, the more suitable the temperature is; when T exceeds the suitable range, T s =0 means the temperature is not suitable. For air quality related indicators, such as the evaluation index of the impact of ammonia concentration on pig health (Aq). Assume that the upper limit of ammonia concentration is C NH3 , the actual measured ammonia concentration is C, then:

5. According to claim 4, a pig farm breeding data intelligent detection and traceability system is characterized in that: The traceability and decision support layer includes a blockchain traceability management system and a decision support system; The blockchain traceability management system includes a traceability module, a sharing module, a storage module, and a supervision module, which are used for data storage, traceability, supervision and early warning mechanisms, and provide breeding suggestions; The traceability module is used for data traceability query, and according to the traceability query results, the breeding mode and breeding level of each farmer are understood; The sharing module is used to achieve docking with the network platform and realize convenient use of the traceability system; The storage module is used to implement data storage; The supervision module is used for supervision and management by the regulatory authorities to understand the products and breeding environment of the farmers; The decision support system is used to establish a decision support system based on data analysis and data mining on a big data platform and an artificial intelligence system to provide breeding advice and decision support.

6. The method for implementing the pig farm breeding data intelligent detection and traceability system according to claim 5 is characterized in that: The steps include: S1: Data collection and secure transmission: Environmental data and individual pig data in the pig house are collected through multi-type sensor networks and video monitoring systems, and data transmission and encryption are achieved using wireless communication networks and data encryption and secure transmission; S2: Data analysis and intelligent judgment: use the big data platform to conduct data analysis and mining, and use intelligent analysis models to analyze and judge the pig house environment and the health status of individual pigs; S3: In-depth analysis and indicator definition: multi-level data analysis, data mining and evaluation are carried out based on the collected data to obtain the level and range of the corresponding environmental quality and pig status indicators; S4: Traceability construction and supervision guarantee, establish a blockchain traceability system to achieve traceability query and effective supervision; S5: Decision support and early warning prompts, establish a decision support system, and provide breeding suggestions and early warning information.

7. The method for implementing the intelligent detection and tracing system for pig farm breeding data according to claim 6 is characterized in that: The step S2 includes step S201; S201: A big data platform is used to analyze data collected by multiple types of sensors, and intelligent detection methods are used to analyze and evaluate the environmental status inside the pig house. The standards and basis for the analysis and evaluation are GB / T8808, GB18596, GB / T18599, GB14143 and GB / T18883.

8. The method for implementing the pig farm breeding data intelligent detection and traceability system according to claim 6 is characterized in that: The step S3 includes step S301; S301: According to the standards and basis for analysis and evaluation, the environmental quality indicators and individual pig status indicators are analyzed and evaluated, the evaluation values ​​are normalized to [0,1], and three levels are defined: [1,0.8] excellent, [0.8,0.6] medium, and [0.6,0] poor. Finally, the evaluation results are presented using tree diagrams and bar charts.

9. The method for implementing the intelligent detection and traceability system for pig farm breeding data according to claim 8 is characterized in that: The step S5 includes steps S501, S502, and S503; S501: Analyze the results through the big data platform, give suggestions for decision support, and implement the query of decision support suggestions and early warning information through the expert system and knowledge system; S502: The decision support system can issue warnings after analyzing and evaluating the collected data, and give warning levels, which are divided into 4 levels, represented by safe, low, moderate, and dangerous, and upload the warning information to the blockchain traceability management system for storage; S503: The decision support system interacts with the decision maker information system to share data, thereby supporting the decision-making of farmers.

10. The method for implementing the pig farm breeding data intelligent detection and traceability system according to claim 9 is characterized in that: The method further comprises step S6; S6: During the breeding process, farmers continuously provide feedback on data and early warning information, conduct multiple comprehensive analyses, and continuously evaluate and improve the breeding model and breeding environment of the pig farm.

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