Greenhouse partition energy-saving control system and temperature control method

Abstract

The invention discloses a greenhouse partition energy-saving control system and a temperature control method. The greenhouse partition energy-saving control system comprises a temperature sensor, an air replacement device and an air conditioning device. The interior of the greenhouse is divided into a plurality of subareas, each subarea comprises at least one cultivation frame, each subarea is provided with a plurality of temperature sensors, a plurality of rows of temperature sensors are arranged in the horizontal direction of the cultivation frame, each row comprises a plurality of temperature sensors, and the plurality of rows are arranged in the vertical direction; an air replacement device and an air conditioning device are arranged at the two ends of each subarea respectively, and each temperature sensor is connected with the air replacement device and the air conditioning device in the subarea where the temperature sensor is located. The temperature control accuracy can be improved, excessive control is avoided, and energy consumption is reduced.

Description

Technical Field

[0001] The invention belongs to the field of greenhouse automation control and relates to a greenhouse zoning energy-saving control system and a temperature control method. Background Art

[0002] Improving the efficiency of agricultural electricity use can not only effectively reduce production costs and increase farmers' income, but also play a positive role in promoting energy conservation and emission reduction. The energy consumption of environmental control equipment in facility agriculture accounts for a large proportion of the operating costs of greenhouses. The temperature distribution inside the greenhouse is uneven, and traditional control technology is based on a small number of sensors for control, which easily leads to problems such as low control accuracy and excessive energy consumption. Therefore, it is necessary to perform precise control based on the actual temperature distribution inside the greenhouse. However, there are few studies in this area at home and abroad.

[0003] The methods to achieve greenhouse energy conservation mainly include optimizing greenhouse structure and material selection, improving ventilation system, utilizing solar energy and geothermal energy, optimizing greenhouse environmental control system, etc. Among them, the optimization of greenhouse environmental control technology uses heating equipment, ventilation system and sensor data to automatically adjust the temperature, which can effectively adjust the information parameters of the internal environment of the greenhouse and reduce greenhouse energy consumption. The greenhouse environmental control system consists of two parts: hardware equipment and greenhouse environmental control strategy, the core of which is the greenhouse environmental control strategy. In recent years, a lot of research has been conducted on greenhouse environmental control strategies at home and abroad, forming several typical greenhouse environmental control algorithms, including PID control, fuzzy control, neural network control, optimal control, multi-objective optimization control, multi-factor coupling environmental control methods, etc.

[0004] The above control strategies can achieve certain control effects, but they generally use a limited number of sensors and regard their temperature values ​​as the temperature values ​​of the entire greenhouse, and usually use a centralized control method for management. This method ignores the objective fact that there is an uneven temperature distribution inside the greenhouse, making it difficult to accurately respond to temperature changes in different areas of the greenhouse, causing some control devices to overreact, such as unnecessarily increasing ventilation or heating, which inevitably leads to energy waste. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a greenhouse zoning energy-saving control system and a temperature control method, which can improve the accuracy of temperature control, avoid excessive control, and reduce energy consumption.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions: A greenhouse zoning energy-saving control system, comprising a temperature sensor, an air replacement device and an air conditioning device; The greenhouse is divided into a plurality of zones, each zone includes at least one cultivation rack, a plurality of temperature sensors are arranged in each zone, a plurality of rows of temperature sensors are arranged horizontally along the cultivation rack, each row includes a plurality of temperature sensors, and the plurality of rows are arranged vertically; An air replacement device and an air conditioning device are respectively arranged at both ends of each partition, and each temperature sensor is connected to the air replacement device and the air conditioning device in the partition where the temperature sensor is located.

[0007] Preferably, each temperature sensor is provided with a Bluetooth module, and the temperature sensor is connected to the air replacement device and the air conditioning device via a Bluetooth Mesh network.

[0008] Preferably, a gateway is provided in the greenhouse, the gateway is connected to all temperature sensors, and the gateway is connected to an external cloud platform.

[0009] A temperature control method for a greenhouse zone energy-saving control system, wherein a temperature sensor monitors the temperature parameters of the area in which it is located in real time and transmits the data to an air replacement device and an air conditioning device. When the greenhouse needs to be cooled, the air replacement device transports cold air from the climate corridor into the greenhouse for cooling. When the longitudinal temperature difference in the greenhouse is greater than the target temperature difference, the air conditioning device adjusts the fluidity of the indoor air to even out the temperature distribution.

[0010] Preferably, the temperature data of the temperature sensors in the same row are averaged and the air replacement device performs temperature adjustment according to the average temperature value.

[0011] Preferably, the difference between the current temperature sensor and the average values ​​of the temperature sensors of other rows is compared, and the air conditioning device circulates the indoor air according to the difference.

[0012] Preferably, the air replacement device is controlled by fuzzy PID control logic, and the design process of the fuzzy PID controller is: Determine the input and output of the fuzzy PID controller and the quantification of the input quantity. The input of the fuzzy PID controller is the deviation between the current actual temperature and the target temperature. and the rate of change of deviation , set the output variable of the fuzzy PID controller as the PID control parameter , and ; Fuzzify the input data of the fuzzy PID controller; Design the rule base of the fuzzy PID controller; Defuzzify the output value of the fuzzy PID controller.

[0013] Furthermore, the design principle of the fuzzy PID controller rule base is: When the temperature deviation , temperature deviation change rate When both are negative, the fuzzy PID controller output To increase the adjustment range, the output To prevent overshoot, the output Small negative value to speed up the response; When the temperature deviation The smaller the negative value, the temperature deviation change rate When it is positive, the fuzzy PID controller output is negative to prevent overshoot, the output The error is small, and the output Smaller negative values ​​will speed up the response.

[0014] Preferably, the air conditioning device is controlled by PID control logic, and the PID controller design process includes setting adjustment parameters of the PID controller and setting a target temperature difference value.

[0015] Furthermore, the adjustment parameter setting process of the PID controller is: first adjust the proportional part parameters by gradually increasing the proportional coefficient, and observe the system response until the temperature difference response curve is obtained with a fast response speed and small overshoot; if the static error of the system cannot meet the design requirements based on proportional regulation, an integral link is added to eliminate the static error. If the static error is eliminated by using a proportional-integral regulator, but the dynamic process still fails to meet the requirements after repeated adjustments, a differential link is added to form a proportional-integral-differential regulator.

[0016] Compared with the prior art, the present invention has the following beneficial effects: The present invention changes the control mode of the air replacement device and the air conditioning device from the original centralized control mode to a distributed control node, and embeds the control algorithm into these control nodes for operation; utilizing the unique ventilation structure of the semi-enclosed greenhouse, a partition control scheme is designed, and the control node and the surrounding acquisition nodes are assigned to an independent area, in which the control node is only controlled by the data feedback from the temperature sensor in the partition. Through this refined approach, the control accuracy can be improved, excessive control can be avoided, and energy consumption can be reduced. The distributed design reduces the risk of single point failure. Even if a node fails, other nodes can still work normally, and the stability of the system is guaranteed. Each area can independently process temperature data and take corresponding adjustment measures without relying on the central control node. This can respond to temperature changes more quickly and improve the real-time performance of the system. The partition control architecture allows the system to be flexibly expanded and adjusted as needed. Monitoring nodes and fan nodes can be increased or decreased according to the scale and layout of the greenhouse to meet different needs and application scenarios.

[0017] Furthermore, Bluetooth Mesh technology has flexible topology, low power consumption, scalability, real-time performance and reliability. Bluetooth Mesh technology can be used in the transport layer to achieve efficient transmission of data collected by various sensors inside the greenhouse. By establishing a Bluetooth Mesh network, data can be easily transmitted from sensor nodes to centralized processing nodes, while supporting many-to-many communication methods, making the system highly scalable and flexible. In addition, Bluetooth Mesh technology also has high security, which can ensure the confidentiality and integrity of data during transmission.

[0018] Furthermore, the gateway node acts as a bridge for data transmission, transmitting the data in the greenhouse to the cloud platform, which is responsible for data storage and remote monitoring.

[0019] Furthermore, by adjusting the temperature according to the average lateral temperature value, it can be ensured that the temperature of the area close to the air supply fan will not be too low, and the temperature of the area far away will not be too high, thereby improving the lateral temperature uniformity inside the greenhouse.

[0020] Furthermore, the longitudinal temperature control method can ensure that the temperature difference at different heights in the longitudinal direction is not too large, thereby improving the longitudinal temperature uniformity inside the greenhouse. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a schematic diagram of a greenhouse zone energy-saving control system of the present invention; Figure 2 It is the temperature control flow chart of the present invention; Figure 3 This is a verification diagram of the temperature control effect of the EC fan of the present invention; Figure 4 This is a verification diagram of the temperature control effect of the fan coil unit of the present invention.

[0022] Among them: 1-temperature sensor; 2-EC fan; 3-fan coil; 4-cultivation rack. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] It should be noted that the words "front", "rear", "left", "right", "up" and "down" used in the following description refer to directions in the drawings, and the words "inside" and "outside" refer to directions toward or away from the geometric center of a specific component, respectively.

[0025] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0026] Example 1 like Figure 1 As shown, the greenhouse zoning energy-saving control system based on fuzzy PID and Bluetooth mesh according to the present invention includes a temperature sensor 1, an EC fan 2 and a fan coil 3.

[0027] The greenhouse is divided into multiple partitions, each partition includes at least one cultivation rack 4 and multiple temperature sensors 1, multiple rows of temperature sensors 1 are arranged horizontally along the cultivation rack 4, each row includes multiple temperature sensors 1, and the multiple rows are arranged vertically, and each temperature sensor 1 serves as a collection node.

[0028] EC fans 2 and fan coil units 3 are respectively provided at both ends of each partition. EC fans 2 and fan coil units 3 serve as control nodes. EC fans 2 serve as air replacement devices for ventilation and / or replacement of external cold air into the greenhouse. Fan coil units 3 serve as air conditioning devices for cooling or heating the greenhouse.

[0029] Each temperature sensor 1 is equipped with a Bluetooth module, and the temperature sensor 1 is connected to the EC fan 2 and fan coil 3 in its own partition through the Bluetooth Mesh network. In addition, a gateway is set in the greenhouse, and the gateway is connected to all temperature sensors 1 to transmit the data in the greenhouse to the cloud platform.

[0030] The present invention deploys high-precision temperature sensors 1 at key nodes of the greenhouse. These temperature sensors 1 have high sensitivity and anti-interference capabilities to ensure long-term stable operation. The sensors are calibrated before installation to ensure the accuracy of the measured data, and by reasonably selecting the installation location, effective monitoring of the temperature and humidity of the entire distribution network is achieved. A low-power, high-reliability wireless communication network is established through the Bluetooth Mesh network for the transmission of temperature sensor 1 data. Each sensor node is equipped with a Bluetooth module, joins the Mesh network, and optimizes the network topology to ensure the shortest communication path and reduce data transmission delays. The standard Bluetooth Mesh communication protocol is adopted, and each node is tested for communication to ensure the compatibility and stability of data transmission.

[0031] The present invention expands the number of limited temperature monitoring nodes in the original greenhouse, changes the control mode of EC fan 2 and fan coil 3 from the original centralized control mode to distributed control nodes, and embeds the control algorithm into these nodes for operation; utilizes the unique ventilation structure of the semi-enclosed greenhouse, designs a partition control scheme, and allocates the control node and the surrounding collection nodes to an independent area, in which the control node is only controlled by the data feedback from the collection nodes in the partition. Through this refined approach, the control accuracy can be improved, excessive control can be avoided, and energy consumption can be reduced.

[0032] Example 2 The control method of the greenhouse zone energy-saving control system is to transmit the temperature to the EC fan 2 and the fan coil 3 through the temperature sensor 1, and the EC fan 2 and the fan coil 3 adjust the temperature through the built-in PID controller.

[0033] like Figure 2 As shown, in the present invention, the acquisition node is responsible for real-time monitoring of the temperature parameters of the area in which it is located in the greenhouse, and transmitting the data to the EC fan 2 control node and the fan coil 3. The EC fan 2 control node transports the cold air from the climate corridor to the greenhouse for cooling, while the fan coil 3 is responsible for regulating the fluidity of the indoor air and uniformizing the temperature distribution. The gateway node acts as a bridge for data transmission, transmitting the data in the greenhouse to the cloud platform. The cloud platform undertakes the tasks of data storage and remote monitoring.

[0034] During the data transmission process of temperature sensor 1, for the control of lateral uniformity, the temperature data of the same row is averaged and the temperature of EC fan 2 is adjusted according to the average temperature value. This design can ensure that the temperature of the area close to EC fan 2 will not be too low, and the temperature of the area far away will not be too high, thereby improving the lateral temperature uniformity inside the greenhouse.

[0035] For the control of longitudinal temperature uniformity, by comparing the difference between the current temperature sensor 1 and the average value of other row temperature sensors 1, the fan coil 3 circulates the indoor air according to the difference. This feedback control strategy can ensure that the temperature difference at different heights in the longitudinal direction is not too large, thereby improving the longitudinal temperature uniformity inside the greenhouse.

[0036] EC fan 2 fuzzy PID controller design process: (1) Determine the input and output of the fuzzy PID controller and the quantization of the input quantity The input temperature data is accurate. To implement the fuzzy PID control algorithm, it must be quantified. The input of the fuzzy PID controller is set to the deviation between the current actual temperature and the target temperature. , Deviation Change Rate , set the temperature deviation range from -10 to 10 degrees Celsius, mapped to the range from -3 to 3. Also need to set the deviation change rate Tec, set the temperature deviation rate range from -1 to 1, mapped to the range from -3 to 3. Finally, set the output variable of the fuzzy PID controller as the PID control parameter , and .

[0037] (2) Fuzzification After determining the input and output of the PID controller, the fuzzification is then performed. The present invention defines the temperature deviation , Temperature deviation change rate The fuzzy subsets are all set to {NB, NM, NS, ZO, PS, PM, PB}. Then, according to the quantization results, we can determine and Membership on fuzzy subsets. Membership functions can be divided into wide membership functions and narrow membership functions according to resolution. Wide membership functions have lower resolution and milder control performance; narrow membership functions have higher resolution and correspondingly higher control sensitivity. When selecting a membership function, it is necessary to comprehensively consider multiple aspects such as sensitivity, robustness, computing power, and indicator requirements; the membership function selected in the present invention is a triangular membership function. The output variable membership functions all use triangular membership functions.

[0038] (3) Design rule base The rules of the fuzzy controller designed in this invention are obtained by actually testing the input and output of the greenhouse system, and the temperature deviation, deviation change rate and PID control parameters are obtained based on the experience of adjusting the temperature in the greenhouse. , and There is the following adjustment rule: when the error is large or relatively large, the parameters output by the fuzzy controller are mainly used to eliminate the error as quickly as possible; when the error is small, the parameters output by the fuzzy controller should pay attention to preventing overshoot and focus on the stability of the system.

[0039] When the temperature deviation , temperature deviation change rate When the error is negative, it is possible that the error will continue to increase rapidly. In order to eliminate the existing error as soon as possible and suppress the control error from continuing to increase, the fuzzy controller can output To increase the adjustment range, the output To prevent overshoot, the output To speed up the response, the IF-THEN statement is expressed as follows: ; When the temperature deviation The smaller the negative value, the temperature deviation change rate When it is positive, the error is small, but it may overshoot and produce positive error. At this time, the fuzzy controller can output is negative to prevent overshoot, the output The error is small, and the output A small negative value speeds up the response, that is: .

[0040] When the system is just beginning to adjust, increase the Parameters can speed up the system’s response. At this time, the main goal is to make the system respond to the target setting value as quickly as possible, so appropriately increase It can improve the sensitivity of the system and quickly eliminate the initial error. When the system approaches the target setting value and begins to enter a stable state, it is necessary to gradually reduce Parameters can be adjusted to reduce the overshoot of the system and keep a small steady-state deviation. At this time, the main goal is to maintain the stability of the system and reduce the overshoot of the system. When the system is basically stable and the overshoot and steady-state deviation have been reduced to a reasonable level, the Parameters can further reduce the static error and the static error of the system to achieve higher control accuracy. Based on the above description, we define The fuzzy rules are shown in Table 1.

[0041] Table 1 Fuzzy control rule table

[0042] In the initial stage, usually The parameter can be set to a smaller value, or even to zero, to avoid system instability or overshoot caused by premature introduction of integral action. When the system gradually approaches the target setting value and enters a stable state, you can gradually increase Parameters can be adjusted to reduce steady-state error and improve control accuracy. When the system is basically stable and the steady-state error is small, fine-tuning can be performed according to actual needs. Parameters to further optimize control accuracy, too large The parameters may introduce problems such as integral saturation or integral jitter. Based on the above description, we define The fuzzy rules are shown in Table 2.

[0043] Table 2 Fuzzy control rule table

[0044] When the system is running, the main goal of the initial adjustment is to quickly respond to the system near the target set value, and the differential action may introduce additional oscillations, so it is not necessary to consider it for the time being. When the system gradually approaches the target setting value and enters a stable state, you can gradually increase Parameters can be adjusted to improve the control accuracy of the system. When the system is basically stable and the steady-state error is small, fine-tuning can be performed according to actual needs. Parameters to further optimize the control accuracy. Based on the above definition The fuzzy rules are shown in Table 3.

[0045] Table 3 Fuzzy control rule table

[0046] (4) Defuzzification: "Defuzzification" refers to converting the output of fuzzy logic into clear and deterministic results. , Deviation Change Rate ,Know , The membership and fuzzy rule tables of different fuzzy sets are then defuzzified. The defuzzification methods include the maximum membership method and the center of gravity method. Since the center of gravity method has smooth output inference control, even if the input signal changes only slightly, the output value will change accordingly. The fuzzy PID controller designed by the present invention uses the center of gravity method for defuzzification, and its formula is as follows:

[0047] Where: is the membership value of the output value; is the defuzzified value.

[0048] According to the conclusions drawn in the previous step, the solution of each output value is calculated by multiplying the membership degree by the corresponding membership value. , and Parameters and original , and The parameters are added and input into the PID controller to obtain the PID output value. The control voltage of EC fan 2 corresponding to different PID output values ​​is obtained according to Table 4.

[0049] Table 4 Different PID output values ​​corresponding to EC fan 2 control voltage

[0050] like Figure 3 As shown, the temperature curve of the control greenhouse B1 node is above the temperature curve of the experimental greenhouse A1 node. It can be seen that through the adjustment of the distributed EC fan 2, the temperature change process of the experimental greenhouse A1 node is closer to the target temperature, the temperature difference with the target temperature is smaller, and the adjustment is more precise.

[0051] Fan coil unit 3 control method design process: The fan coil unit 3 is a common HVAC equipment in the greenhouse. Its working principle is to circulate the indoor air through the fan and achieve air circulation, cooling or heating effects through the coil heat transfer, thereby adjusting the indoor temperature. The fan coil unit 3 usually has three working modes: cooling, heating and air. Among them, the air circulation mode is usually used to adjust the fluidity of the indoor air, uniform temperature distribution, or maintain air circulation when the temperature is already within the appropriate range.

[0052] The specific design process of fan coil 3PID controller is as follows: (1) Parameter setting: The PID controller parameters of fan coil unit 3 are adjusted through the experimental method. The temperature difference response curve is observed. Then, according to the approximate influence of each parameter on the system response, the parameters are repeatedly debugged to achieve a satisfactory system response, thereby determining the final adjustment parameters of the PID.

[0053] The proportional part parameter tuning is performed by gradually increasing the proportional coefficient, observing the system response until the response curve has a fast response speed and a small overshoot. If the static error of the system cannot meet the design requirements based on the proportional adjustment, an integral link is added. The static error refers to the deviation between the target value and the measured value when the system control process tends to be stable. The role of the integral link is to eliminate the static error while maintaining the good dynamic performance of the system. If the static error is eliminated by using a proportional-integral regulator, but the dynamic process is still not satisfactory after repeated adjustments, a differential link can be added to form a proportional-integral-differential regulator.

[0054] Through multiple tests, the PID controller of fan coil unit 3 is determined. , , The parameters are 3.4, 0.7, and 0 respectively. In order to avoid over-regulation, the integral limit parameter is set to 5. (2) Setting the target temperature difference: Set the target temperature difference to 2°C. The temperature difference between any two points in the vertical direction of the greenhouse should not exceed 2°C. Too low a target value will result in an increase in the energy consumption of the fan coil unit 3.

[0055] Through the above process, the control logic of the PID controller is established to carry out specific temperature distribution adjustment.

[0056] Temperature data collection: Temperature data at 3 m and 1 m heights are collected through collection nodes at different locations. The data are used to calculate the actual temperature gradient as the input of the PID controller.

[0057] PID control: Use the PID controller to regulate the operation of fan coil 3 to minimize the temperature gradient. The output of the PID controller will control the on-time of fan coil 3 within a cycle to adjust the temperature distribution. The control cycle is set to 5 minutes, and we update the output of the PID controller every 5 minutes. Finally, the output of the PID controller is converted into the on-time of fan coil 3, as shown in Table 5.

[0058] Table 5 The corresponding fan coil 3 opening time for different PID output values

[0059] like Figure 4 As shown, the temperature curve of the control greenhouse B2 node is above the temperature curve of the experimental greenhouse A2 node. It can be seen that through the adjustment of the distributed fan coil 3, the temperature change process of the experimental greenhouse A2 node is closer to the target temperature, the temperature difference with the target temperature is smaller, and the adjustment is more precise.

[0060] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0061] It should be understood that the above description is for illustration and not for limitation. Many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of this patent should not be determined with reference to the above description, but rather with reference to the preceding claims and the full scope of equivalents to which such claims are entitled. For the purpose of comprehensiveness, all articles and references, including disclosures of patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein in the preceding claims is not intended to be a waiver of such subject matter, nor should it be considered that the applicant has not considered such subject matter to be part of the disclosed inventive subject matter.

Claims

1. A greenhouse zoning energy-saving control system, characterized in that: It comprises a temperature sensor (1), an air replacement device and an air conditioning device; The greenhouse is divided into a plurality of partitions, each partition comprising at least one cultivation rack (4), a plurality of temperature sensors (1) are arranged in each partition, a plurality of rows of temperature sensors (1) are arranged in a horizontal direction along the cultivation rack (4), each row comprising a plurality of temperature sensors (1), and the plurality of rows are arranged in a vertical direction; An air replacement device and an air conditioning device are respectively arranged at both ends of each partition, and each temperature sensor (1) is connected to the air replacement device and the air conditioning device in the partition where it is located.

2. The greenhouse zoning energy-saving control system according to claim 1 is characterized in that: Each temperature sensor (1) is provided with a Bluetooth module, and the temperature sensor (1) is connected to the air replacement device and the air conditioning device via a Bluetooth Mesh network.

3. The greenhouse zone energy-saving control system according to claim 1 is characterized in that: A gateway is provided in the greenhouse, the gateway is connected to all temperature sensors (1), and the gateway is connected to an external cloud platform.

4. A temperature control method based on the greenhouse zone energy-saving control system according to any one of claims 1 to 3, characterized in that: The temperature sensor (1) monitors the temperature parameters of the area where it is located in real time and transmits the data to the air replacement device and the air conditioning device. When the greenhouse needs to be cooled, the air replacement device transports the cold air from the climate corridor into the greenhouse for cooling. When the longitudinal temperature difference in the greenhouse is greater than the target temperature difference, the air conditioning device adjusts the fluidity of the indoor air to even out the temperature distribution.

5. The temperature control method according to claim 4, characterized in that: The temperature data of the temperature sensors (1) in the same row are used to calculate their average value, and the air replacement device performs temperature adjustment according to the average temperature value.

6. The temperature control method according to claim 4, characterized in that: The difference between the current temperature sensor (1) and the average value of the other row temperature sensors (1) is compared, and the air conditioning device circulates the indoor air according to the difference.

7. The temperature control method according to claim 4, characterized in that: The air replacement device is controlled by fuzzy PID control logic. The design process of the fuzzy PID controller is: Determine the input and output of the fuzzy PID controller and the quantification of the input quantity. The input of the fuzzy PID controller is the deviation between the current actual temperature and the target temperature. and the rate of change of deviation , set the output variable of the fuzzy PID controller as the PID control parameter , and ; Fuzzify the input data of the fuzzy PID controller; Design fuzzy PID controller rule base; Defuzzify the output value of the fuzzy PID controller.

8. The temperature control method according to claim 7, characterized in that: The design principles of the fuzzy PID controller rule base are: When the temperature deviation , temperature deviation change rate When both are negative, the fuzzy PID controller output To increase the adjustment range, the output To prevent overshoot, the output Small negative value to speed up the response; When the temperature deviation The smaller the negative value, the temperature deviation change rate When it is positive, the fuzzy PID controller output is negative to prevent overshoot, the output The error is small, and the output Smaller negative values ​​will speed up the response.

9. The temperature control method according to claim 4, characterized in that: The air conditioning device is controlled by PID control logic. The PID controller design process includes setting the adjustment parameters of the PID controller and setting the target temperature difference value.

10. The temperature control method according to claim 9, characterized in that: The process of setting the adjustment parameters of the PID controller is as follows: first, adjust the proportional part parameters by gradually increasing the proportional coefficient, and observe the system response until the temperature difference response curve is obtained with a fast response speed and small overshoot; If the static error of the system cannot meet the design requirements based on proportional regulation, an integral link is added to eliminate the static error. If the static error is eliminated using a proportional-integral regulator, but the dynamic process still fails to meet the requirements after repeated adjustments, a differential link is added to form a proportional-integral-differential regulator.

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