Standardized totally-closed cowshed automatic optimization temperature control system and method based on Internet of Things and storage medium

Abstract

The invention discloses an automatic optimized temperature control system and method for a standardized totally-closed cowshed based on the Internet of Things and a storage medium, and relates to the field of temperature control of breeding factories. The temperature sensors are located at different positions of the totally-closed cowshed and used for collecting a temperature time sequence data set. According to the current temperature time sequence data set, a neural network temperature prediction model is utilized to predict the temperature of the next moment, the predicted temperature is compared with the actual temperature, and the difference value is transmitted to a decision center; whether a preset feeding temperature range is exceeded or not is judged according to the prediction-actual difference value, if the preset feeding temperature range is exceeded, an adaptive fuzzy rule adjustment mechanism is introduced, and a temperature control strategy is generated by combining the prediction-actual difference value range, time corresponding to the temperature time sequence data set and weather conditions; according to the temperature control strategy, a temperature control instruction is sent to a temperature control device, and the temperature is controlled to be within the standard feeding temperature range. According to the method, the high beef cattle yield is achieved with low cost input.

Description

Technical Field

[0001] The present invention relates to the field of temperature control in breeding factories, and more specifically to an automatic optimization temperature control system, method and storage medium for a standardized fully enclosed cattle shed based on the Internet of Things. Background Art

[0002] In recent years, the rapid increase in demand for beef has promoted the development of my country's livestock and cattle industry.

[0003] Cowshed buildings are mostly mixed structures, usually with brick walls bearing the weight, and steel or reinforced concrete combined roof trusses. Some cowsheds are equipped with internal columns to reduce the span of the hut frame. The cowshed door is preferably made into a push-pull type to facilitate the entry and exit of cattle. The floor inside the shed is required to be dry and flat, strong and wear-resistant, with good washing performance, impermeable, non-slip, and not too hard. Cement surface is often used for roughening, or it is divided into diamond-shaped grids along the drainage direction. Due to the materials used in cowshed construction and the characteristics of the building itself, it is more difficult to control temperature. However, the temperature has a great impact on beef cattle production. Too high or too low temperature has a huge impact on production. Therefore, when building beef cattle sheds, how to control the temperature in an energy-saving and environmentally friendly way, reduce input costs, and improve the quality of beef cattle production is urgently needed for technical personnel in this field. Summary of the invention

[0004] In view of this, the present invention provides a standardized fully enclosed cattle house automatic optimization temperature control system, method and storage medium based on the Internet of Things to solve the problems existing in the background technology and achieve higher beef cattle production with less cost investment.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A standardized fully enclosed cowshed automatic optimization temperature control system based on the Internet of Things, comprising: a fully enclosed cowshed, a temperature sensor, a wireless sensor network, an Internet of Things temperature collection center, a neural network prediction center, a decision center and a temperature control center;

[0007] The temperature sensors are located at different positions of the fully enclosed cowshed. The temperature sensors and the wireless sensor network constitute an Internet of Things temperature collection center. The Internet of Things temperature collection center collects temperature data at different times and different positions to form a temperature time series data set.

[0008] The neural network prediction center is used to predict the temperature at the next moment based on the current temperature time series data set using the neural network temperature prediction model, and compare the predicted temperature with the actual temperature, and transmit the difference to the decision center;

[0009] The decision center determines whether the preset feeding temperature range is exceeded based on the predicted-actual difference. If the temperature exceeds the standard feeding temperature range, an adaptive fuzzy rule adjustment mechanism is introduced, and a temperature control strategy is generated based on the predicted-actual difference range, the time corresponding to the temperature time series data set, and the weather conditions;

[0010] The temperature control center issues temperature control instructions to the temperature control equipment according to the temperature control strategy until the temperature is adjusted to the standard breeding temperature range.

[0011] Optionally, the fully enclosed cowshed is provided with fully automatic ventilation windows, and the fully automatic ventilation windows are connected to the decision center. The decision center calculates the time lag value according to the air outlet speed of the fully automatic ventilation and lighting panels, and builds a control model by combining the time lag value and the outdoor temperature conditions to compare the indoor temperature. The fully automatic ventilation windows are controlled based on the control model to complete temperature control.

[0012] Optionally, the fully enclosed cowshed is provided with solar panels, which are used to provide electrical energy to electrical equipment inside the fully enclosed cowshed.

[0013] Optionally, a heating device is provided on the top of the fully enclosed cowshed, and the heating device is connected to a solar panel for clearing snow from the roof.

[0014] Optionally, the fully enclosed cowshed is provided with a sunshade device, which is connected to a temperature control center and is used to perform command control on the sunshade device according to the predicted-actual difference, the time corresponding to the temperature time series data set, and weather conditions.

[0015] Optionally, the fully enclosed cowshed is provided with a sunshade device, and the sunshade device is provided with a temperature sensing device, and the sunshade device is directly controlled by the temperature sensing device and a preset threshold range.

[0016] A standardized fully enclosed cowshed automatic optimization temperature control method based on the Internet of Things comprises the following steps:

[0017] The temperature sensors located at different locations in the cowshed and the wireless sensor network are used to build an IoT temperature collection center. The IoT temperature collection center collects temperature data at different times and locations to form a temperature time series data set.

[0018] According to the current temperature time series data set, the neural network temperature prediction model is used to predict the temperature at the next moment, and the predicted temperature is compared with the actual temperature, and the difference is transmitted to the decision center;

[0019] The decision center determines whether the preset feeding temperature range is exceeded based on the predicted-actual difference. If the temperature exceeds the standard feeding temperature range, an adaptive fuzzy rule adjustment mechanism is introduced, and a temperature control strategy is generated based on the predicted-actual difference range, the time corresponding to the temperature time series data set, and the weather conditions;

[0020] The temperature control center issues temperature control instructions to the temperature control equipment according to the temperature control strategy until the temperature is adjusted to the standard breeding temperature range.

[0021] Optionally, the decision center is also used to calculate the time lag value according to the air outlet speed of the fully automatic ventilation and lighting panels, build a control model by combining the time lag value and the outdoor temperature conditions to compare the indoor temperature, and control the fully automatic ventilation windows based on the control model to complete temperature control.

[0022] A computer storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods for automatically optimizing temperature control of a standardized fully enclosed cattle shed based on the Internet of Things are implemented.

[0023] It can be seen from the above technical solutions that, compared with the prior art, the present invention provides a standardized fully enclosed cowshed automatic optimization temperature control system, method and storage medium based on the Internet of Things, which has the following beneficial effects:

[0024] 1. Through the Internet of Things technology, temperature data at different locations in the cowshed can be collected in real time and accurately to form a temperature time series data set. This provides rich data support, making temperature prediction and control more accurate. The prediction model can predict the temperature at the next moment based on the current temperature time series data set and compare it with the actual temperature in real time. Once the difference is found to exceed the preset range, the adjustment mechanism can be triggered immediately to ensure the timeliness of temperature control.

[0025] 2. Through precise temperature control, the temperature in the cowshed can be kept within the standard feeding temperature range, providing a comfortable and stable feeding environment for the cattle. A stable feeding environment helps to improve the health level and production performance of cattle, thereby improving the overall breeding benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0027] Figure 1 This is an overall schematic diagram of a fully enclosed cattle shed according to the present invention;

[0028] Figure 2 This is a schematic diagram of the temperature control structure of a fully enclosed cattle shed of the present invention;

[0029] Figure 3 It is a schematic diagram of the method of the present invention;

[0030] 1-Fully enclosed cowshed, 2-Fully automatic ventilation windows, 3-Transparent roof, 4-Sunshade device, 5-Solar panel. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] The embodiment of the present invention discloses a standardized fully enclosed cattle house automatic optimization temperature control system based on the Internet of Things, such as Figure 1 and Figure 2 As shown, it includes: a fully enclosed cowshed 1, a temperature sensor, a wireless sensor network, an Internet of Things temperature collection center, a neural network prediction center, a decision center and a temperature control center;

[0033] The temperature sensors are located at different positions of the fully enclosed cowshed. The temperature sensors and the wireless sensor network constitute an Internet of Things temperature collection center. The Internet of Things temperature collection center collects temperature data at different times and different positions to form a temperature time series data set.

[0034] The neural network prediction center is used to predict the temperature at the next moment based on the current temperature time series data set using the neural network temperature prediction model, and compare the predicted temperature with the actual temperature, and transmit the difference to the decision center;

[0035] The decision center determines whether the preset feeding temperature range is exceeded based on the predicted-actual difference. If the temperature exceeds the standard feeding temperature range, an adaptive fuzzy rule adjustment mechanism is introduced, and a temperature control strategy is generated based on the predicted-actual difference range, the time corresponding to the temperature time series data set, and the weather conditions;

[0036] The temperature control center issues temperature control instructions to the temperature control device according to the temperature control strategy until the temperature is adjusted to the standard breeding temperature range. For example, in this embodiment, if the temperature is below 10 degrees, the lighting mode can be automatically enabled. If the temperature is above 20 degrees, the summer heat relief and cooling mode is automatically enabled.

[0037] Furthermore, the fully enclosed cowshed is provided with a fully automatic ventilation window 2, and the fully automatic ventilation window 2 is connected to the decision center. The decision center calculates the time lag value according to the air outlet speed of the fully automatic ventilation and lighting panel, and constructs a control model by combining the time lag value and the outdoor temperature conditions to compare the indoor temperature. The fully automatic ventilation window is controlled based on the control model to complete temperature control.

[0038] Furthermore, the fully enclosed cowshed is provided with a solar panel 5, and the solar panel 5 is used to provide electric energy to the electrical equipment inside the fully enclosed cowshed.

[0039] Furthermore, a heating device is provided on the top of the fully enclosed cowshed, and the heating device is connected to the solar panel for clearing snow from the roof. A temperature sensor and a snow sensor are installed on the top of the cowshed to monitor the temperature and snow accumulation on the roof in real time. When the temperature is lower than the set value or the thickness of the snow exceeds the set threshold, the heating device is automatically triggered to start. Through the PLC (programmable logic controller) or intelligent control system, the power and working time of the heating device are automatically adjusted according to the information fed back by the sensor to ensure that the snow can be effectively cleared while avoiding energy waste. An overheating protection device is set in the heating device, which automatically cuts off the power when the temperature exceeds the set value to prevent damage to the heating element or cause safety hazards such as fire. The electrical parts of the solar panel and the heating device should take rain and snow protection measures to ensure that they can work normally under severe weather conditions.

[0040] Furthermore, the fully enclosed cowshed is designed with transparent material for light transmission and saving lighting energy. In order to do this, a sunshade device 4 needs to be provided. The sunshade device 4 is connected to the temperature control center and is used to perform command control on the sunshade device according to the predicted-actual difference, the time corresponding to the temperature time series data set, and weather conditions.

[0041] Furthermore, the fully enclosed cowshed is provided with a sunshade device, and the sunshade device is provided with a temperature sensing device, and the sunshade device is directly controlled by the temperature sensing device and a preset threshold range.

[0042] In this embodiment, a standardized fully enclosed cattle house automatic optimization temperature control method based on the Internet of Things is also disclosed. Figure 3 As shown, the following steps are included:

[0043] Step 1: Use temperature sensors located at different locations in the cowshed and wireless sensor networks to build an Internet of Things temperature collection center, which collects temperature data at different times and locations to form a temperature time series data set;

[0044] Step 2: Use the neural network temperature prediction model to predict the temperature at the next moment based on the current temperature time series data set, compare the predicted temperature with the actual temperature, and transmit the difference to the decision center;

[0045] Step 3: The decision center determines whether the preset feeding temperature range is exceeded based on the predicted-actual difference. If the temperature exceeds the standard feeding temperature range, an adaptive fuzzy rule adjustment mechanism is introduced, and a temperature control strategy is generated based on the predicted-actual difference range, the time corresponding to the temperature time series data set, and the weather conditions;

[0046] Step 4: The temperature control center issues temperature control instructions to the temperature control device according to the temperature control strategy until the temperature is adjusted to the standard breeding temperature range.

[0047] Furthermore, in this embodiment, the decision center is also used to calculate the time lag value according to the air outlet speed of the fully automatic ventilation and lighting panels, and to build a control model by combining the time lag value and the outdoor temperature conditions to compare the indoor temperature, and to control the fully automatic ventilation windows based on the control model to complete temperature control.

[0048] Furthermore, in step 1, high-precision temperature sensors are deployed at different locations of the cowshed (such as corners, the middle, near the door, etc.), and the sensors are ensured to work stably and not be disturbed by the environment. Wireless sensor network construction: Use wireless communication technology (such as LoRa, Zigbee, etc.) to connect the sensors to form a stable wireless sensor network. Ensure the reliability and real-time performance of data transmission.

[0049] Furthermore, the present embodiment also includes a data preprocessing module, where the IoT temperature collection center receives temperature data from sensors and performs preliminary data cleaning and formatting to form a standard temperature time series data set.

[0050] Furthermore, in step 3, if the error exceeds the threshold, an adaptive fuzzy rule adjustment mechanism is introduced to dynamically adjust the temperature control strategy according to the prediction-actual difference range, the time corresponding to the temperature time series data set (such as day, night, season, etc.), and the weather conditions (such as sunny, cloudy, rainy, etc.).

[0051] Furthermore, in this embodiment, factors such as the physiological needs, growth stage, and health status of cattle are also considered to further optimize the temperature control strategy to ensure the comfort and production performance of the cattle.

[0052] Finally, this embodiment discloses a computer storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of any one of the methods for automatic optimization temperature control of a standardized fully enclosed cowshed based on the Internet of Things are implemented.

[0053] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0054] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A standardized fully enclosed cowshed automatic optimization temperature control system based on the Internet of Things, characterized in that: include: Fully enclosed cattle shed, temperature sensors, wireless sensor networks, IoT temperature collection center, neural network prediction center, decision center and temperature control center; The temperature sensors are located at different positions of the fully enclosed cowshed. The temperature sensors and the wireless sensor network constitute an Internet of Things temperature collection center. The Internet of Things temperature collection center collects temperature data at different times and different positions to form a temperature time series data set. The neural network prediction center is used to predict the temperature at the next moment based on the current temperature time series data set using the neural network temperature prediction model, and compare the predicted temperature with the actual temperature, and transmit the difference to the decision center; The decision center determines whether the preset feeding temperature range is exceeded based on the predicted-actual difference. If the temperature exceeds the standard feeding temperature range, an adaptive fuzzy rule adjustment mechanism is introduced, and a temperature control strategy is generated based on the predicted-actual difference range, the time corresponding to the temperature time series data set, and the weather conditions; The temperature control center issues temperature control instructions to the temperature control equipment according to the temperature control strategy until the temperature is adjusted to the standard breeding temperature range.

2. According to the Internet of Things-based standardized fully enclosed cowshed automatic optimization temperature control system according to claim 1, it is characterized in that: The fully enclosed cowshed is provided with fully automatic ventilation windows, which are connected to the decision center. The decision center calculates the time lag value according to the air outlet speed of the fully automatic ventilation and lighting panels, and builds a control model by combining the time lag value and the outdoor temperature to compare the indoor temperature. The fully automatic ventilation windows are controlled based on the control model to complete temperature control.

3. According to the Internet of Things-based standardized fully enclosed cowshed automatic optimization temperature control system of claim 1, it is characterized in that: The fully enclosed cowshed is provided with solar panels, which are used to provide electrical energy to electrical equipment inside the fully enclosed cowshed.

4. The standardized fully enclosed cowshed automatic optimization temperature control system based on the Internet of Things according to claim 3 is characterized in that: A heating device is arranged on the top of the fully enclosed cowshed, and the heating device is connected to the solar panel and is used for clearing snow on the roof.

5. The standardized fully enclosed cowshed automatic optimization temperature control system based on the Internet of Things according to claim 1 is characterized in that: The fully enclosed cowshed is provided with a sunshade device, which is connected to a temperature control center and is used to perform command control on the sunshade device according to the predicted-actual difference, the time corresponding to the temperature time series data set, and weather conditions.

6. The standardized fully enclosed cowshed automatic optimization temperature control system based on the Internet of Things according to claim 1 is characterized in that: The fully enclosed cowshed is provided with a sunshade device, and the sunshade device is provided with a temperature sensing device. The sunshade device is directly controlled by the temperature sensing device and a preset threshold range.

7. A standardized fully enclosed cowshed automatic optimization temperature control method based on the Internet of Things, characterized in that: The following steps are involved: The temperature sensors located at different locations in the cowshed and the wireless sensor network are used to build an IoT temperature collection center. The IoT temperature collection center collects temperature data at different times and locations to form a temperature time series data set. According to the current temperature time series data set, the neural network temperature prediction model is used to predict the temperature at the next moment, and the predicted temperature is compared with the actual temperature, and the difference is transmitted to the decision center; The decision center determines whether the preset feeding temperature range is exceeded based on the predicted-actual difference. If the temperature exceeds the standard feeding temperature range, an adaptive fuzzy rule adjustment mechanism is introduced, and a temperature control strategy is generated based on the predicted-actual difference range, the time corresponding to the temperature time series data set, and the weather conditions; The temperature control center issues temperature control instructions to the temperature control equipment according to the temperature control strategy until the temperature is adjusted to the standard breeding temperature range.

8. The standardized fully enclosed cowshed automatic optimization temperature control system based on the Internet of Things according to claim 7 is characterized in that: The decision center is also used to calculate the time lag value according to the air outlet speed of the fully automatic ventilation and lighting panels, and to build a control model by combining the time lag value and the outdoor temperature conditions to compare the indoor temperature. Based on the control model, the fully automatic ventilation windows are controlled to complete temperature control.

9. A computer storage medium, characterized in that: The computer storage medium stores a computer program, which, when executed by a processor, implements the steps of a standardized fully enclosed cowshed automatic optimization temperature control method based on the Internet of Things as described in any one of claims 7 to 8.

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