Pig farm remote control system and method

Abstract

The invention discloses a remote control system and method for a pig farm, relates to the technical field of pig farm breeding, and aims to solve the technical problems that a current control system is relatively high in construction difficulty, low in reliability, high in maintenance cost, large and incomplete in data volume of environment variables, difficult to realize remote monitoring, poor in equipment use experience and difficult to improve the breeding level. Comprising a pluggable wireless environment collector, a pig farm intelligent gateway, a wireless intelligent controller and a digital intelligent comprehensive management platform. The invention relates to the Internet of Things, intellectualization, big data and cloud computing technology, adopts an environment collector, a wireless gateway, a wireless controller and a digital intelligent integrated management platform on the premise of ensuring the reliability of data acquisition, has high cost performance, high reliability, stability and expansibility, and is suitable for popularization and application. Remote control, real-time monitoring, intelligent analysis and automatic control of the pig farm can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of pig farm breeding, and more specifically, to a pig farm remote control system and method. Background Art

[0002] In the traditional agricultural and animal husbandry field, data collection often relies on manual work, such as recording animal growth traits in pastures, detecting environmental parameters in farms, and collecting crop growth data. With the promotion and maturity of sensor technology, the Internet of Things, cloud platforms, big data, and artificial intelligence technology, smart agriculture has emerged, and the data collection method in the agricultural field has developed from a completely manual collection mode to a partially manual and partially automatic collection mode, and the data collection technology has been continuously optimized; in large-scale modern farms, the automatic control and collection equipment of the breeding environment are all realized by automatic control cabinets (or electric control cabinets) and PLC automatic control systems, including temperature, humidity, carbon dioxide concentration, ventilation rate, heating, environmental control, etc. The traditional automatic control cabinet has overcome the limitations of traditional purely manual collection and control to a certain extent, and realized the automatic collection and control of some environmental parameters of the farm.

[0003] However, the traditional fully automatic control system is not only difficult to build, but also has low reliability and high maintenance costs due to the large number of on-site equipment, cables, terminals, etc. Due to the large number of environmental variables in the pig house, such as temperature and humidity, air quality, lighting, temperature control, etc., it is difficult for pig farm managers to obtain all environmental parameters and make corresponding adjustments to all variables in a timely manner. Therefore, many semi-automatic control systems have emerged, such as temperature, humidity, carbon dioxide concentration, ventilation rate, air quality sensors, etc., which are recorded by workers during inspections and then manually adjusted through inspections. Although this method overcomes the shortcomings of completely manual collection and control, the shortcomings are also obvious: the amount of environmental variable data is large and incomplete, remote monitoring cannot be achieved, the equipment experience is poor, and the breeding level is difficult to improve; it is difficult to give full play to the role of advanced technologies such as the Internet of Things, cloud computing, big data, and artificial intelligence in modern breeding. In view of this, we propose a remote control system and method for pig farms. 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 remote control system and method to solve the technical problems of the current control system being difficult to build, low reliability, high maintenance cost, large and incomplete data volume of environmental variables, difficulty in achieving remote monitoring, poor equipment use experience, and difficulty in improving breeding levels.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a pig farm remote control system, including a pluggable wireless environment collector, a pig farm smart gateway, a wireless intelligent controller and a digital integrated management platform;

[0006] The pluggable wireless environment collector is integrated with a high-precision sensor for collecting pig house environment data in real time;

[0007] The pig farm smart gateway is used to support the communication mode and support the collector to access the network;

[0008] The wireless intelligent controller is used to realize self-customized control logic through APP and connect to the original electric control cabinet;

[0009] The digital integrated management platform is used for real-time monitoring, data tracing, dynamic regulation and intelligent data analysis.

[0010] Preferably, the pluggable wireless environment collector adopts Bluetooth connection, Wi-Fi connection, loRaWAN, and 4G network connection;

[0011] The pluggable wireless environment collector uses a processing unit built on an ARM Cortex-M series chip;

[0012] The pluggable wireless environment collector has built-in high-precision sensors, including a high-precision temperature and humidity sensor, a high-precision light sensor, and a high-precision gas sensor;

[0013] The pluggable wireless environment collector collects temperature, humidity, light intensity, ammonia concentration, carbon dioxide, and hydrogen sulfide concentration parameters, and directly uploads them to the pig farm smart gateway via wireless after local processing;

[0014] The pluggable wireless environment adopts loRaWAN wireless transmission technology.

[0015] Preferably, the pig farm smart gateway adopts an ARM core processing platform, including RS485, WIFI, and LoRa communication modes;

[0016] The protocols and standards adopted by the pig farm smart gateway include Modbus and MQTT;

[0017] The pig farm smart gateway uniformly accesses and manages the pluggable wireless environment collector through TCP / IP, uses SNMP for remote management and diagnosis, and provides a web page to monitor the operation of each link node and data status in real time.

[0018] Preferably, the wireless intelligent controller is also used to receive and respond to cloud instructions in real time to control the original electric control cabinet in the pig house;

[0019] The wireless intelligent controller includes application software and a single-chip microcomputer controller, which uses WIFI or 4G to access the Internet and manage the connected intelligent devices.

[0020] Preferably, the digital integrated management platform is also used to deploy a cloud-based real-time platform cluster using edge gateway technology, provide cloud computing capabilities, and realize data collection, analysis, statistics, control and visualization;

[0021] The digital integrated management platform includes a cloud monitoring module, a cloud analysis module, a cloud management module and a cloud alarm module;

[0022] The cloud monitoring module is used to provide a way to interact with each device and access the gateway, while visualizing the data;

[0023] The cloud analysis module is used to compare the collected parameters with thresholds, analyze the relationship between the parameters, and smooth the data;

[0024] The cloud management module is used to realize the control and remote alarm of each device;

[0025] The cloud alarm module is used for real-time alarm via SMS, email or APP.

[0026] A method for implementing a pig farm remote control system comprises the following steps:

[0027] S1: System design: Design a pig farm remote control system that integrates a pluggable wireless environment collector, a pig farm smart gateway, a wireless intelligent controller and a digital integrated management platform;

[0028] S2: Architecture improvement: Adopt the "cloud-network-end-edge" four-layer architecture to achieve performance improvement.

[0029] Preferably, the step S1 includes the following steps:

[0030] S101: integrated pluggable wireless environment collector;

[0031] S102: Upgrade the pig farm smart gateway to have high reliability and industrial-grade performance;

[0032] S103: Design a wireless intelligent controller;

[0033] S104: Design a digital integrated management platform.

[0034] Preferably, step S2 includes the following steps:

[0035] S201: At the "cloud" layer, the digital integrated management platform realizes data collection, analysis, statistics, control and visualization. The platform cluster performs real-time monitoring, data tracing, dynamic regulation and intelligent data analysis through the cloud monitoring module, cloud analysis module, cloud management module and cloud alarm module;

[0036] S202: At the "network" layer, the pig farm smart gateway forwards the original data collected by the collector to the core system, and transfers the feedback of the core system to the original device through the local collection device, thereby realizing the automatic collection and control of all smart devices;

[0037] S203: At the "end" layer, the wireless intelligent controller operates the intelligent device and can realize abnormal device alarm in combination with the cloud monitoring module;

[0038] S204: At the "edge" layer, the edge computing module is deployed in the core system, which performs initial analysis on the data and then forwards it to a system consisting of a cloud-based real-time platform cluster deployed by a digital integrated management platform using edge gateway technology.

[0039] Preferably, the edge computing in step S204 is written in C++, Java, Python, and adopts LTP message interaction system, intelligent rule engine, data buffering and data filtering processing mechanism;

[0040] If the edge computing module adopts the LTP message interaction system for message transmission, the message sending rate is V msg (Unit: msg / s), the message queue length is Q len , message processing time T msg It can be calculated by the following formula:

[0041]

[0042] The data filtering mechanism, if the real-time data set is {d1, d2, ..., d n}, after filtering, the remaining valid data set is Data filtering efficiency E f It can be calculated by the following formula:

[0043]

[0044] The data filtering and processing mechanism filters real-time data, real-time temperature, real-time energy consumption, and real-time alarms.

[0045] Preferably, the real-time data includes temperature, humidity, light, infrared, humidity, dust, CO2, NH3, and hydrogen sulfide; at the same time, the collector is uniquely numbered, and the corresponding data is provided through the gateway interface, cloud monitoring interface, cloud management interface, and cloud analysis interface.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] 1. The four-layer architecture of "cloud-network-end-edge" is adopted to improve the performance from the system architecture, support large-scale node access, be compatible with standard protocols, have high protection capabilities, support edge computing, and utilize advanced technical means such as the Internet of Things, big data, and artificial intelligence; the present invention involves the Internet of Things, intelligence, big data, and cloud computing technologies. On the premise of ensuring the reliability of data collection, it adopts environmental collectors, wireless gateways, wireless controllers, and digital integrated management platforms. It has high cost performance, high reliability, stability, and scalability, and can realize remote control of pig farms as well as real-time monitoring, intelligent analysis, and automatic control, so that the breeding industry can achieve intelligent production, data production, and collaborative production.

[0048] 2. Use pluggable wireless environmental collectors to perceive environmental data, which can be quickly configured and accurately collected, avoiding the use of a large number of external interfaces to save space. At the same time, the microprocessor chip is connected to the sensor through a wireless connection port to obtain environmental data to the greatest extent.

[0049] 3. Using the wireless intelligent controller as the carrier and independently customizing the control logic according to the APP, the pig farm electric control cabinet can be quickly intelligentized, precise control can be achieved through control logic, the success rate of temperature and humidity control can be improved, and the environment can be optimized.

[0050] 4. Through wireless sensor network networking and dynamic control of the platform, dynamic control of environmental data can be achieved to make the pig house environment more stable.

[0051] 5. The wireless intelligent controller can be quickly configured and connected to the pig house electric control cabinet, making the pig house electric control cabinet intelligent without major modifications, thus reducing costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a system schematic diagram of the present invention. DETAILED DESCRIPTION

[0053] Embodiment 1, as Figure 1 As shown, the present invention relates to a pig farm remote control system, including a pluggable wireless environment collector, a pig farm smart gateway, a wireless intelligent controller and a digital integrated management platform;

[0054] The pluggable wireless environment collector is integrated with high-precision sensors to collect pig house environmental data in real time;

[0055] The pig farm smart gateway is used to support communication methods and enable collectors to access the network;

[0056] Wireless intelligent controller, used to realize self-customized control logic through APP and connect to the original electric control cabinet;

[0057] A digital integrated management platform for real-time monitoring, data tracing, dynamic regulation and intelligent data analysis.

[0058] In order to achieve the purpose of the present invention, a pluggable wireless environment collector is provided with a microprocessor chip, a wireless connection port, and a sensor, and the microprocessor chip is connected to the sensor through the wireless connection port; the sensor, the microprocessor chip and the wireless connection port are located on the same circuit board, and the circuit board is elliptical. The sensors are distributed on the circuit board and divided into two parts with the center of the ellipse, and are arranged in a ring on the circuit board. The microprocessor chip and the wireless connection port are located in the center of the ellipse, and the sensor is one or more of a temperature sensor, a humidity sensor or a gas sensor; a LoRaWAN communication module is provided on the microprocessor chip, and the sensor senses the environmental data of the pig house in real time, and transmits it to the pig farm smart gateway through the LoRaWAN communication module of the microprocessor chip.

[0059] The pig farm smart gateway includes a baseband communication module, a cloud service communication module, a sensor data processing module, a protocol stack, a security encryption module, a LoRaWAN communication module, and a storage and expansion module. It is connected to the operator network through the baseband and is interconnected with the protocol stack. The LoRaWAN communication module in the pig farm smart gateway and the LoRaWAN communication module in the pluggable wireless environment collector form a LoRaWAN network through a router, and each pluggable wireless environment collector in the pig house is connected to the LoRaWAN communication module of the pig farm smart gateway; the protocol stack and the cloud service communication module are interconnected, so that the pig farm smart gateway uses the TCP / IP protocol to realize remote communication with the cloud service provider. The cloud service communication module is also connected to the operator. At the same time, the security encryption module in the pig farm smart gateway assigns a unique ID to each sensor in the LoRaWAN network in the LoRaWAN communication module, and the data collected by each pluggable wireless environment collector contains the unique ID to ensure its security.

[0060] The wireless intelligent controller includes an intelligent control module, a wireless connection module and a power module. The power module supplies power to the wireless connection module and the intelligent control module. The wireless connection module is connected to the local area network, so that the wireless intelligent controller can realize autonomous customized control logic through the APP and connect to the original electric control cabinet. The wireless intelligent controller is equipped with a Bluetooth module. The smart devices in the pig house are connected to the wireless intelligent controller through the Bluetooth module, so that the intelligent control module can control the smart devices in the pig house.

[0061] The digital integrated management platform includes a data access module, a cloud platform module, an intelligent management module, a data monitoring module, an application software development module, an application service module and a data call interface, wherein: the data access module and the cloud platform module are interconnected to receive data sent by the pig farm smart gateway, the cloud platform module is connected to the cloud service module in the pig farm smart gateway, and is also connected to the data monitoring module, the data monitoring module is in turn interconnected with the intelligent management module, the data call interface is interconnected with the data monitoring module, the application service module and the application software development module, so that the data of the cloud platform module can be called through the application service module or new application services can be developed through the application software development module, and the data call interface provides data calls to other components of the digital integrated management platform.

[0062] Specifically, the pluggable wireless environment collector uses Bluetooth connection, Wi-Fi connection, loRaWAN, and 4G network connection;

[0063] The pluggable wireless environment collector uses a processing unit built on the ARM Cortex-M series chip;

[0064] The pluggable wireless environment collector has built-in high-precision sensors, including high-precision temperature and humidity sensors, high-precision light sensors, and high-precision gas sensors;

[0065] The pluggable wireless environment collector collects temperature, humidity, light intensity, ammonia concentration, carbon dioxide, and hydrogen sulfide concentration parameters, and directly uploads them to the pig farm smart gateway via wireless after local processing;

[0066] The pluggable wireless environment adopts loRaWAN wireless transmission technology.

[0067] It is worth noting that the pig farm smart gateway uses an ARM core processing platform, including RS485, WIFI, and LoRa communication methods;

[0068] The protocols and standards used by the pig farm smart gateway include Modbus and MQTT;

[0069] The pig farm smart gateway uniformly accesses and manages the pluggable wireless environment collector through TCP / IP, uses SNMP for remote management and diagnosis, and provides a web page to monitor the operation of each link node and data status in real time.

[0070] Furthermore, the wireless intelligent controller is also used to receive and respond to cloud commands in real time to control the original electric control cabinet in the pig house;

[0071] The wireless intelligent controller includes application software and a single-chip microcomputer controller, which uses WIFI or 4G to access the Internet and manage the connected intelligent devices.

[0072] Furthermore, the digital integrated management platform is also used to deploy cloud-based real-time platform clusters using edge gateway technology, providing cloud computing capabilities to achieve data collection, analysis, statistics, control and visualization;

[0073] The digital integrated management platform includes cloud monitoring module, cloud analysis module, cloud management module and cloud alarm module;

[0074] The cloud monitoring module is used to provide a way to interact with each device and access the gateway, while visualizing the data;

[0075] Cloud analysis module, used to compare the collected parameters with thresholds, analyze the relationship between parameters, and smooth data;

[0076] Cloud management module, used to realize the control and remote alarm of each device;

[0077] The cloud alarm module is used for real-time alarm via SMS, email or APP.

[0078] Embodiment 2, the present invention relates to a method for implementing a pig farm remote control system, comprising the following steps:

[0079] S1: System design: Design a pig farm remote control system that integrates a pluggable wireless environment collector, a pig farm smart gateway, a wireless intelligent controller and a digital integrated management platform;

[0080] S2: Architecture improvement: Adopt the "cloud-network-end-edge" four-layer architecture to achieve performance improvement.

[0081] Specifically, step S1 includes the following steps:

[0082] S101: integrated pluggable wireless environment collector;

[0083] S102: Upgrade the pig farm smart gateway to have high reliability and industrial-grade performance;

[0084] S103: Design a wireless intelligent controller;

[0085] S104: Design a digital integrated management platform.

[0086] It is worth noting that step S2 includes the following steps:

[0087] S201: At the "cloud" layer, the digital integrated management platform realizes data collection, analysis, statistics, control and visualization. The platform cluster performs real-time monitoring, data tracing, dynamic regulation and intelligent data analysis through the cloud monitoring module, cloud analysis module, cloud management module and cloud alarm module;

[0088] S202: At the "network" layer, the pig farm smart gateway forwards the original data collected by the collector to the core system, and transfers the feedback of the core system to the original device through the local collection device, thereby realizing the automatic collection and control of all smart devices;

[0089] S203: At the "end" layer, the wireless intelligent controller operates the intelligent device and can realize abnormal device alarm in combination with the cloud monitoring module;

[0090] S204: At the "edge" layer, the edge computing module is deployed in the core system, which performs initial analysis on the data and then forwards it to a system consisting of a cloud-based real-time platform cluster deployed by a digital integrated management platform using edge gateway technology.

[0091] Furthermore, the edge computing in step S204 is written in C++, Java, and Python, and adopts an LTP message interaction system, an intelligent rule engine, a data buffer, and a data filtering processing mechanism;

[0092] If the edge computing module adopts the LTP message interaction system for message transmission, the message sending rate is V msg (Unit: msg / s), the message queue length is Q len , message processing time T msg It can be calculated by the following formula:

[0093]

[0094] The data filtering mechanism, if the real-time data set is {d1, d2, ..., d n}, after filtering, the remaining valid data set is Data filtering efficiency E f It can be calculated by the following formula:

[0095]

[0096] The data filtering and processing mechanism filters real-time data, real-time temperature, real-time energy consumption, and real-time alarms.

[0097] Furthermore, the real-time data include temperature, humidity, light, infrared, humidity, dust, CO2, NH3, and hydrogen sulfide; at the same time, the collector is uniquely numbered and the corresponding data is provided through the gateway interface, cloud monitoring interface, cloud management interface, and cloud analysis interface.

[0098] In order to achieve the purpose of the present invention, a dynamic control model based on artificial intelligence is adopted in the digital integrated management platform, which is an RNN or LSTM recursive model;

[0099] After obtaining a large amount of environmental sensor data, the data set is divided to train the RNN or LSTM network model, and the MSE between the model prediction value and the actual data is used as the loss function; when the predicted data and the actual data are within a certain error range, the output data is the optimal predicted data;

[0100] The RNN or LSTM network model uses standardized numerical data to train the optimal network model. Based on this model, it predicts the temperature, humidity, ammonia and hydrogen sulfide that need to be adjusted in the next period of time under the real-time environment, thereby realizing dynamic environmental control.

[0101] RNN is a recurrent neural network and LSTM is a long short-term memory network.

[0102] When training the RNN or LSTM network model, adaptive learning rate technology is also used to train the network, optimize parameters, improve network prediction, and reduce losses.

[0103] Adaptive learning rate, gradient descent method is used during training. The learning rate decreases as the number of iterations increases, and its reduction curve is a power curve. The power curve can reduce the decline rate of the learning rate in the early stage of training so that it does not approach the global extreme value too quickly. As the number of iterations increases, the learning rate slowly decays, and the speed of approaching the optimal solution increases in the later stage of training.

[0104] The digital integrated management platform encrypts the collected data and control instructions respectively, and sends the data to the cloud platform module through the TCP / IP protocol. During the data transmission process, the collected data and control instruction information are encrypted using symmetric encryption and then sent to the cloud platform module, which receives them uniformly and then decrypted by the cloud platform.

[0105] 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. A pig farm remote control system, characterized in that: Including pluggable wireless environment collector, pig farm smart gateway, wireless intelligent controller and digital integrated management platform; The pluggable wireless environment collector is integrated with a high-precision sensor for collecting pig house environment data in real time; The pig farm smart gateway is used to support the communication mode and support the collector to access the network; The wireless intelligent controller is used to realize self-customized control logic through APP and connect to the original electric control cabinet; The digital integrated management platform is used for real-time monitoring, data tracing, dynamic regulation and intelligent data analysis.

2. A pig farm remote control system according to claim 1, characterized in that: The pluggable wireless environment collector uses Bluetooth connection, Wi-Fi connection, loRaWAN, and 4G network connection; The pluggable wireless environment collector uses a processing unit built on an ARM Cortex-M series chip; The pluggable wireless environment collector has built-in high-precision sensors, including a high-precision temperature and humidity sensor, a high-precision light sensor, and a high-precision gas sensor; The pluggable wireless environment collector collects temperature, humidity, light intensity, ammonia concentration, carbon dioxide, and hydrogen sulfide concentration parameters, and directly uploads them to the pig farm smart gateway via wireless after local processing; The pluggable wireless environment adopts loRaWAN wireless transmission technology.

3. A pig farm remote control system according to claim 2, characterized in that: The pig farm smart gateway adopts the ARM core processing platform, including RS485, WIFI, and LoRa communication methods; The protocols and standards adopted by the pig farm smart gateway include Modbus and MQTT; The pig farm smart gateway uniformly accesses and manages the pluggable wireless environment collector through TCP / IP, uses SNMP for remote management and diagnosis, and provides a web page to monitor the operation of each link node and data status in real time.

4. A pig farm remote control system according to claim 3, characterized in that: The wireless intelligent controller is also used to receive and respond to cloud instructions in real time to control the original electric control cabinet in the pig house; The wireless intelligent controller includes application software and a single-chip microcomputer controller, which uses WIFI or 4G to access the Internet and manage the connected intelligent devices.

5. A pig farm remote control system according to claim 4, characterized in that: The digital integrated management platform is also used to deploy a cloud-based real-time platform cluster using edge gateway technology, provide cloud computing capabilities, and realize data collection, analysis, statistics, control, and visualization; The digital integrated management platform includes a cloud monitoring module, a cloud analysis module, a cloud management module and a cloud alarm module; The cloud monitoring module is used to provide a way to interact with each device and access the gateway, while visualizing the data; The cloud analysis module is used to compare the collected parameters with thresholds, analyze the relationship between the parameters, and smooth the data; The cloud management module is used to realize the control and remote alarm of each device; The cloud alarm module is used for real-time alarm via SMS, email or APP.

6. The method for implementing a pig farm remote control system according to claim 5, characterized in that: The following steps are involved: S1: System design: Design a pig farm remote control system that integrates a pluggable wireless environment collector, a pig farm smart gateway, a wireless intelligent controller and a digital integrated management platform; S2: Architecture improvement: Adopt the "cloud-network-end-edge" four-layer architecture to achieve performance improvement.

7. The method for implementing a pig farm remote control system according to claim 6, characterized in that: The step S1 includes the following steps: S101: integrated pluggable wireless environment collector; S102: Upgrade the pig farm smart gateway to have high reliability and industrial-grade performance; S103: Design a wireless intelligent controller; S104: Design a digital integrated management platform.

8. The method for implementing a pig farm remote control system according to claim 6, characterized in that: The step S2 includes the following steps: S201: At the "cloud" layer, the digital integrated management platform realizes data collection, analysis, statistics, control and visualization. The platform cluster performs real-time monitoring, data tracing, dynamic regulation and intelligent data analysis through the cloud monitoring module, cloud analysis module, cloud management module and cloud alarm module; S202: At the "network" layer, the pig farm smart gateway forwards the original data collected by the collector to the core system, and transfers the feedback of the core system to the original device through the local collection device, thereby realizing the automatic collection and control of all smart devices; S203: At the "end" layer, the wireless intelligent controller operates the intelligent device and can realize abnormal device alarm in combination with the cloud monitoring module; S204: At the "edge" layer, the edge computing module is deployed in the core system, which performs initial analysis on the data and then forwards it to a system consisting of a cloud-based real-time platform cluster deployed by a digital integrated management platform using edge gateway technology.

9. The method for implementing a pig farm remote control system according to claim 8, characterized in that: The edge computing in step S204 is written in C++, Java, and Python, using an LTP message interaction system, an intelligent rule engine, data buffering, and data filtering processing mechanisms; If the edge computing module adopts the LTP message interaction system for message transmission, the message sending rate is V msg (Unit: msg / s), the message queue length is Q len , message processing time T msg It can be calculated by the following formula: The data filtering mechanism, if the real-time data set is {d1, d2, ..., d n }, after filtering, the remaining valid data set is Data filtering efficiency E f It can be calculated by the following formula: The data filtering and processing mechanism filters real-time data, real-time temperature, real-time energy consumption, and real-time alarms.

10. The method for implementing a pig farm remote control system according to claim 9, characterized in that: The real-time data include temperature, humidity, light, infrared, humidity, dust, CO2, NH3, and hydrogen sulfide; at the same time, the collector is uniquely numbered, and the corresponding data is provided through the gateway interface, cloud monitoring interface, cloud management interface, and cloud analysis interface.

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