Automatic control system for hog house heating in alpine region

Abstract

The invention relates to the field of animal feeding, and provides an alpine region hog house heating automatic control system comprising a hog house temperature sensor which is installed in a hog house and used for monitoring the environment temperature in the hog house in real time; the external temperature sensor is installed outside the pig house and used for monitoring the external environment temperature in real time; the central processing unit is used for receiving temperature data from the pig house temperature sensor and the external temperature sensor; processing the temperature data; the heating unit is used for receiving the control signal from the central processing unit and adjusting heat supply power according to an instruction; and the energy storage device is used for being connected to the heating unit and providing power support. The problems that in the prior art, the temperature is difficult to accurately regulate and control, and energy utilization is insufficient are solved. Through efficient sensor layout and an intelligent control algorithm, the system can automatically adjust the temperature in the pig house under different environmental conditions, and a comfortable growth environment is provided for live pigs.

Description

Technical Field

[0001] The present application relates to the field of animal husbandry, and in particular, provides an automatic heating control system for pig houses in high-cold areas. Background Art

[0002] Cold weather not only directly affects the growth and health of pigs, but also increases the operating costs of farms. Therefore, in order to improve production efficiency and animal welfare, environmental control technology that can adapt to harsh weather conditions is particularly important.

[0003] Limitations of traditional temperature control systems:

[0004] 1. Low efficiency: Traditional pig house heating often relies on manual adjustment, which is not only time-consuming and labor-intensive, but also difficult to ensure temperature stability. At the same time, due to insufficient timely or accurate manual control, the temperature in the house may fluctuate greatly, causing stress reactions in pigs and affecting their growth and health.

[0005] 2. Energy waste: Many traditional heating devices have low energy efficiency and cannot fully utilize the input energy, resulting in energy waste. In addition, the uncontrollability of temperature requirements in different areas often leads to long-term high-load operation of heating equipment, increasing unnecessary energy consumption.

[0006] 3. Uneven temperature distribution: There is often an uneven temperature distribution problem in pig houses. Traditional heating systems are difficult to effectively regulate different areas, resulting in overheating or overcooling in some areas. This not only makes it difficult for pigs to enjoy a suitable growth environment, but also affects the overall breeding effect.

[0007] With the popularization of Internet of Things technology, animal husbandry is gradually transforming towards automation and intelligence. The introduction of automated control systems can greatly reduce manual intervention, reduce errors caused by human factors, and improve system response speed. Through long-term data collection and analysis, intelligent control systems can continuously optimize themselves during operation.

[0008] As the impact of global warming intensifies, unstable climate conditions pose increasing challenges to animal husbandry. Faced with the increasing demand for heating in high-altitude cold regions and rising energy costs, the development of efficient pig house heating automatic control systems can not only improve the economic benefits of farmers, but also adapt to the development trend of future agricultural technology. In this context, intelligent, energy-saving, and temperature control systems for pig farming in high-altitude cold regions have become a hot topic in the industry and research fields, providing a new way to solve the shortcomings of existing technologies. Summary of the invention

[0009] This application proposes an automatic heating control system for pig houses in cold regions, which solves the problems of difficult temperature control and insufficient energy utilization in the prior art. Through efficient sensor layout and intelligent control algorithm, this system can automatically adjust the temperature in the pig house under different environmental conditions to provide a comfortable growth environment for pigs.

[0010] In order to solve the above technical problems, the technical solution provided by this application is: an automatic heating control system for pig houses in high-cold areas, which includes:

[0011] Pig house temperature sensor: installed inside the pig house to monitor the ambient temperature T in real time i and transmits the data to a central processing unit via a wired or wireless connection;

[0012] External temperature sensor: installed outside the pig house, used to monitor the external ambient temperature T0 in real time and transmit the data to the central processing unit via wired or wireless connection;

[0013] Central Processing Unit: It is used to receive temperature data from the pig house temperature sensor and the external temperature sensor; process the temperature data and calculate the required heating power through the built-in control algorithm. The control algorithm is further defined as:

[0014] H r =C1×(T s -T i )+C2×(T i -T0)

[0015] Among them, H r is the required heating power, C1 and C2 are weight coefficients determined empirically.

[0016] After the above calculations are completed, a control signal is sent to the heating unit to adjust its power output;

[0017] Heating unit: used to receive control signals from the central processing unit, adjust the heating power according to the instructions, and ensure that the temperature inside the pig house is maintained at the preset value T s Within the range; each heater can be independently controlled according to the independent temperature requirements of each area;

[0018] Energy storage device: used to connect to the heating unit to provide power support; receives status monitoring information from the central processing unit to optimize the power storage and power supply strategies.

[0019] Furthermore, the automatic control system also includes a human-computer interaction interface: for displaying the current temperature, heating unit status and energy storage status information obtained from the central processing unit; allowing the user to manually set the target temperature preset value T s , and feeds this data back to the central processing unit to recalculate heating requirements.

[0020] Furthermore, the human-computer interaction interface is provided with a prediction module based on machine learning, which can provide ambient temperature prediction within the next 24 hours and adjust the control strategy in advance to save energy and improve temperature control accuracy.

[0021] Furthermore, the temperature sensors in the pig house are arranged in a multi-point array. The sensors share data through the Internet to monitor the temperature uniformity of different areas in the pig house, and dynamically adjust the output power of the heating unit according to the regional temperature difference through the thermodynamic model in the central processing unit.

[0022] Furthermore, the external temperature sensor adopts a durable design and has an automatic calibration function, and improves measurement stability and accuracy by integrating multiple external temperature measurement points.

[0023] Furthermore, the central processing unit also includes a remote communication module for sending temperature data and control instructions to a remote management system for remote monitoring and control.

[0024] Furthermore, the central processing unit includes an adaptive control algorithm for dynamically adjusting coefficients in the control formula according to historical temperature data to improve the response accuracy to temperature changes.

[0025] Furthermore, the heating unit includes a plurality of heaters, which are independently controlled according to the temperature requirements of different areas of the pig house, and the control algorithm includes the following formula:

[0026] H i =k×(T s，i -T i，i )

[0027] Among them, H i is the heating demand of the ith zone, T s，i and T i，i are the target temperature and actual temperature of the area respectively, and k is the control coefficient of the specific area.

[0028] Furthermore, the energy storage device adopts a solar battery device for collecting and storing renewable energy through solar panels. The storage state of the energy storage device is described by the following formula:

[0029] E st =E i +η×E so -E c

[0030] Among them, E st is the current stored energy, E i is the initial energy state, η is the energy conversion efficiency, Eso Collecting energy from the sun, E c For the energy consumed.

[0031] Furthermore, the energy storage device also includes photovoltaic cells and a smart grid interface, which can monitor the solar energy supply, use power balancing to optimize the energy consumption of the heating unit, and meet the power demand through the power grid and photovoltaic cells.

[0032] The application has the following advantages: The system collects temperature data in real time through a multi-point sensor network inside and outside the pig house, and the central processing unit uses advanced control algorithms to calculate the required heating power to distinguish the temperature control requirements of each area. Combined with the intelligent management of the energy storage device and the intuitive adjustment of the human-computer interaction interface, the system can flexibly respond to changes in the external environment and maximize energy conservation while ensuring the appropriate temperature.

[0033] Precise temperature control: Through multi-point array sensing and intelligent algorithms, precise temperature control in the pig house is achieved;

[0034] Energy saving and high efficiency: using renewable energy such as solar energy and combining it with smart grid interfaces to optimize energy use;

[0035] Intelligent management: Through remote communication and human-computer interaction, users can monitor and adjust the system operation status in real time;

[0036] Future expansion: With a machine learning module, the system can further optimize energy consumption while ensuring temperature according to environmental changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a three-dimensional schematic diagram of the XX device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The present application is further described in detail below in conjunction with embodiments.

[0039] Example 1

[0040] S1. When the temperature in the pig house is lower than the preset value T s When the CPU calculates and increases H r , sending a signal to the heating unit to increase heating;

[0041] S2. If the external temperature sensor detects a decrease in temperature, the central processing unit will increase the response to the external cold climate change by adjusting the coefficient C2 of the control algorithm;

[0042] S3. When the power supply is interrupted, the energy storage device automatically switches to the power supply source of the heating unit, giving priority to maintaining basic heating;

[0043] S4. When the user adjusts the temperature setting through the human-computer interaction interface, the central processing unit instantly updates the control signal and adjusts the operation of related modules.

[0044] Specifically, it includes a pig house temperature sensor: installed inside the pig house, used to monitor the ambient temperature inside the pig house in real time, and transmit the data to the central processing unit through a wired or wireless connection;

[0045] External temperature sensor: installed outside the pig house to monitor the external ambient temperature in real time and transmit the data to the central processing unit via wired or wireless connection;

[0046] Central processing unit: used to receive temperature data from the pig house temperature sensor and external temperature sensor; process the temperature data, calculate the required heating power through the built-in control algorithm, and send control signals to the heating unit to adjust its power output;

[0047] Heating unit: used to receive control signals from the central processing unit, adjust the heating power according to the instructions, and ensure that the temperature inside the pig house is maintained within the preset value range; each heater can be independently controlled according to the independent temperature requirements of each area;

[0048] Energy storage device: used to connect to the heating unit to provide power support; receives status monitoring information from the central processing unit to optimize the power storage and power supply strategies.

[0049] The automatic control system also includes a human-computer interaction interface: for displaying the current temperature, heating unit status and energy storage status information obtained from the central processing unit; allowing the user to manually set the target temperature preset value, and feeding this data back to the central processing unit to recalculate the heating demand.

[0050] The human-computer interaction interface is equipped with a prediction module based on machine learning, which can provide ambient temperature forecasts for the next 24 hours and adjust the control strategy in advance to save energy and improve temperature control accuracy.

[0051] The pig house temperature sensor adopts a multi-point array layout. The sensors share data through the Internet to monitor the temperature uniformity of different areas in the pig house, and dynamically adjust the output power of the heating unit according to the regional temperature difference through the thermodynamic model in the central processing unit. The external temperature sensor adopts a durable design with automatic calibration function, and improves the measurement stability and accuracy by integrating multiple external temperature measurement points.

[0052] The central processing unit also includes a remote communication module for sending temperature data and control instructions to a remote management system for remote monitoring and control. The central processing unit includes an adaptive control algorithm for dynamically adjusting the coefficients in the control formula based on historical temperature data to improve the accuracy of the response to temperature changes.

[0053] The heating unit includes multiple heaters, which are independently controlled according to the temperature requirements of different areas of the pig house. The control algorithm includes the following formula:

[0054] H i =k×(T s，i -T i，i )

[0055] Among them, H i is the heating demand of the ith zone, T s，i and T i，i are the target temperature and actual temperature of the area respectively, and k is the control coefficient of the specific area.

[0056] The energy storage device uses a solar battery device to collect and store renewable energy through solar panels.

[0057] The energy storage device also includes photovoltaic cells and a smart grid interface, which can monitor the solar energy supply, use power balancing to optimize the energy consumption of the heating unit, and meet the power demand through the grid and photovoltaic cells.

[0058] Example 2

[0059] (1) System structure:

[0060] Figure 1 The system structure of the present invention is demonstrated, including multi-point temperature sensors inside the pig house, external temperature sensors, a central processing unit (CPU), a heating unit and an energy storage device.

[0061] (2) Arrangement of temperature sensors:

[0062] Install multiple temperature sensors (such as DS1 8B20) inside the pig house, evenly distributed in different areas of the pig house to detect the ambient temperature T in the area. i A temperature sensor is installed externally to obtain the external temperature T0.

[0063] (3) Central Processing Unit (CPU):

[0064] The central processing unit uses an ARM Cortex-M4 microcontroller, which receives sensor data through the I2C bus and executes the embedded control algorithm to adjust the heating unit. Its main tasks include data reception, processing, prediction and decision making.

[0065] (4) Control of heating unit:

[0066] The heating unit consists of multiple electric heating components. For example, a PTC heater with a power of 300W is used, which is independently controlled according to the needs of different areas. The central processing unit determines the heating power of each area through the following formula:

[0067] H r =C1×(T s -T i )+C2×(T i -T0)

[0068] In this embodiment, C1=1.5 and C2=1.0 are set.

[0069] (5) Energy storage device:

[0070] The energy storage device uses a 100Ah lithium battery system to store energy through solar panels (conversion efficiency is 20%), and its energy state is calculated as:

[0071] E st =E i +η×E so -E c

[0072] Assuming the initial energy E i =500Wh, solar energy collection E so =300Wh.

[0073] (6) Human-computer interaction:

[0074] The system includes a touch screen interface that can be mounted inside or outside the pig house, which displays the current temperature, heater status, and allows the user to set the temperature target value T s .

[0075] (7) System working example:

[0076] Assume that the current regional temperature inside the pig house is T i is 5℃, the external temperature T0 is -10℃, the target temperature T s The temperature is 20℃. The required heating power is calculated by the control algorithm:

[0077] H r =1.5×(20-5)+1.0×(5-(-10))=45+15=60W

[0078] Each area is independently regulated to ensure that the overall temperature quickly reaches and remains at 20°C, while energy storage through solar devices reduces dependence on the main power grid.

[0079] Through the implementation of this system, energy consumption can be reduced in cold regions, temperature control accuracy can be improved, and breeding costs can be effectively reduced. The intelligence and operability of the system ensure rapid response to the external environment, ensuring the health and good growth environment of pigs.

[0080] Although the present invention has been shown and described primarily with reference to certain embodiments, it will be appreciated by those skilled in the art that numerous changes may be made thereto in terms of construction scheme and details, etc., without departing from the scope of protection defined by the claims. Thus, the scope of protection of the present invention is determined by the claims and includes all changes that fall within the meaning or equivalent scope of the claims.

Claims

1. An automatic heating control system for pig houses in high-cold areas, characterized in that: It includes: Pig house temperature sensor: installed inside the pig house to monitor the ambient temperature T in real time i and transmits the data to a central processing unit via a wired or wireless connection; External temperature sensor: installed outside the pig house, used to monitor the external ambient temperature T0 in real time and transmit the data to the central processing unit via wired or wireless connection; Central Processing Unit: It is used to receive temperature data from the pig house temperature sensor and the external temperature sensor; process the temperature data and calculate the required heating power through the built-in control algorithm. The control algorithm is further defined as: H r =C1×(T s -T i )+C2×(T i -T0) Among them, H r is the required heating power, C1 and C2 are weight coefficients determined empirically; after the above calculation is completed, a control signal is sent to the heating unit to adjust its power output; Heating unit: used to receive control signals from the central processing unit, adjust the heating power according to the instructions, and ensure that the temperature inside the pig house is maintained at the preset value T s Within the range; each heater can be independently controlled according to the independent temperature requirements of each area; Energy storage device: used to connect to the heating unit to provide power support; receives status monitoring information from the central processing unit to optimize the power storage and power supply strategies.

2. According to the automatic heating control system for pig houses in high-cold areas of claim 1, it is characterized by: The automatic control system also includes a human-computer interaction interface: for displaying the current temperature, heating unit status and energy storage status information obtained from the central processing unit; allowing the user to manually set the target temperature preset value T s , and feeds this data back to the central processing unit to recalculate heating requirements.

3. The automatic heating control system for pig houses in high-cold areas according to claim 2 is characterized by: The human-computer interaction interface is provided with a prediction module based on machine learning, which can provide ambient temperature prediction within the next 24 hours and adjust the control strategy in advance to save energy and improve temperature control accuracy.

4. The automatic heating control system for pig houses in high-cold areas according to claim 1 is characterized by: The temperature sensors in the pig house are arranged in a multi-point array. The sensors share data through the Internet to monitor the temperature uniformity of different areas in the pig house. The central processing unit uses a thermodynamic model to dynamically adjust the output power of the heating unit according to the regional temperature difference.

5. The automatic heating control system for pig houses in high-cold areas according to claim 4 is characterized by: The external temperature sensor adopts a durable design and has an automatic calibration function, and improves measurement stability and accuracy by integrating multiple external temperature measurement points.

6. The automatic heating control system for pig houses in high-cold areas according to claim 1 is characterized by: The central processing unit also includes a remote communication module for sending temperature data and control instructions to a remote management system for remote monitoring and control.

7. The automatic heating control system for pig houses in high-cold areas according to claim 6 is characterized by: The central processing unit includes an adaptive control algorithm for dynamically adjusting coefficients in the control formula according to historical temperature data to improve the response accuracy to temperature changes.

8. The automatic heating control system for pig houses in high-cold areas according to claim 7 is characterized by: The heating unit includes multiple heaters, which are independently controlled according to the temperature requirements of different areas of the pig house. The control algorithm includes the following formula: H i =k×(T s,i -T i,i ) Among them, H i is the heating demand of the ith zone, T s,i and T i,i are the target temperature and actual temperature of the area respectively, and k is the control coefficient of the specific area.

9. The automatic heating control system for pig houses in high-cold areas according to claim 1 is characterized by: The energy storage device adopts a solar battery device, which is used to collect and store renewable energy through solar panels. The storage state of the energy storage device is described by the following formula: AND st =And i +η×E so -AND c Among them, E st is the current stored energy, E i is the initial energy state, η is the energy conversion efficiency, E so Collecting energy from the sun, E c For the energy consumed.

10. The automatic heating control system for pig houses in high-cold areas according to claim 9, characterized in that: The energy storage device also includes photovoltaic cells and a smart grid interface, which can monitor the solar energy supply, use power balancing to optimize the energy consumption of the heating unit, and meet the power demand through the grid and photovoltaic cells.

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