Temperature and humidity control method and device based on multipoint sensor network

Abstract

The invention provides a temperature and humidity control method and device based on a multi-point sensor network. The method comprises the following steps: acquiring temperature and humidity data of a plurality of target areas of a to-be-controlled greenhouse based on a preset multi-point temperature and humidity sensing monitoring network; the multi-point temperature and humidity sensing monitoring network comprises a plurality of sensor nodes, and the sensor nodes are arranged at different positions of the greenhouse to be controlled so as to cover each target area; calculating the opening degree of an output air port according to the temperature and humidity data, and controlling the greenhouse to be controlled according to the opening degree of the output air port. Multi-point monitoring is achieved through the multi-point temperature and humidity sensing monitoring network, the opening degree of the output air opening is calculated through the obtained multiple pieces of temperature and humidity data, and therefore the overall ventilation quantity of the greenhouse to be controlled is adjusted, cooperative control over multiple areas is achieved, and the greenhouse environment control precision is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic control, and particularly to a temperature and humidity control method and device based on a multi-point sensor network. Background Art

[0002] As a modern agricultural facility, greenhouses are widely used in the planting and growth management of plants. Due to its characteristics such as large area coverage, stable structure and high resource utilization rate, multi-span greenhouses have gradually become the first choice in large-scale agricultural production. However, due to the special structure of multi-span greenhouses, the regulation of their internal environment becomes more complex. Temperature and humidity are key environmental parameters affecting crop growth, but the distribution of temperature and humidity in multi-span greenhouses is not uniform, and traditional temperature and humidity control methods are difficult to meet the requirements of precise regulation.

[0003] Traditional greenhouse environment control systems usually adopt PID (Proportional-Integral-Derivative) control technology. The PID controller adjusts the system output according to the deviation between the set target value (set point) and the actual measured value to achieve the desired control effect. However, in multi-span greenhouses, due to the large area of the greenhouse, complex internal structure and significant differences in the micro-environments of different regions, a single PID control strategy is often difficult to precisely control the temperature and humidity throughout the greenhouse. In this case, a too simple control system may cause some areas to overheat or overhumidify, while other areas may not meet the ideal temperature and humidity requirements, thus affecting crop growth and production efficiency.

[0004] Specifically, the temperature and humidity in multi-span greenhouses are affected by various factors, such as solar radiation, wind direction, external temperature and humidity, types and distributions of crops in the greenhouse, etc. Traditional control systems usually adopt the method of single-point measurement and only rely on the data of a few sensors for control. This method cannot reflect the temperature and humidity distribution throughout the greenhouse and is difficult to achieve precise control. Especially when the temperature and humidity differences at multiple points are large, simple PID control may frequently show control deviations and even cause system instability.

[0005] In recent years, with the development of Internet of Things technology, the application of multi-point sensor networks has provided a new means for monitoring greenhouse environments. By arranging multiple sensors in the greenhouse, the temperature and humidity data of different regions can be obtained in real time, thus providing data support for more refined environmental control. However, how to effectively apply these real-time data to the control system, especially how to achieve efficient temperature and humidity regulation under the complex structure of multi-span greenhouses, remains the focus and difficulty of current technical research.

[0006] In summary, the temperature and humidity regulation of the prior art has the problem of low accuracy. Summary of the Invention

[0007] The present invention provides a temperature and humidity control method and device based on a multi-point sensor network, aiming to solve the defect of low accuracy in the prior art and achieve high-precision temperature and humidity control based on a multi-point sensor network.

[0008] The present invention provides a temperature and humidity control method based on a multi-point sensor network, including the following steps:

[0009] Obtain the temperature and humidity data of multiple target areas of the greenhouse to be controlled based on a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are arranged at different positions of the greenhouse to be controlled to cover each target area;

[0010] Calculate the opening degree of the output air vent according to the temperature and humidity data, and control the greenhouse to be controlled according to the opening degree of the output air vent.

[0011] According to the temperature and humidity control method based on a multi-point sensor network provided by the present invention, calculating the opening degree of the output air vent according to the temperature and humidity data, and controlling the greenhouse to be controlled according to the opening degree of the output air vent specifically includes:

[0012] Calculate the feedback temperature according to the temperature and humidity data of the current time step;

[0013] Calculate the error value between the temperature and humidity set value and the feedback temperature, and perform noise reduction processing on the error value to obtain the noise reduction processing result;

[0014] Input the noise reduction processing result into the target PID control algorithm, and calculate the opening degree of the output air vent according to the noise reduction processing result;

[0015] Generate a ventilation adjustment control signal according to the opening degree of the output air vent, send the ventilation adjustment control signal to the greenhouse to be controlled, and control the greenhouse to be controlled.

[0016] According to the temperature and humidity control method based on a multi-point sensor network provided by the present invention, the multi-point temperature and humidity sensing and monitoring network further includes a coordinator;

[0017] The sensor node includes a temperature and humidity sensor module and a communication module. The temperature and humidity sensor module is used to collect temperature and humidity data, and the communication module is used to communicate with other sensor nodes and the coordinator;

[0018] The coordinator is used to summarize the data of the sensor nodes.

[0019] According to the temperature and humidity control method based on a multi-point sensor network provided by the present invention, inputting the noise reduction processing result into the target PID control algorithm, and calculating the opening degree of the output air vent according to the noise reduction processing result specifically includes:

[0020] Calculate the opening degree of the outlet air duct at the current time step according to the preset PID proportional parameter, PID integral parameter, cycle interval time, and the result of the noise reduction processing according to a first preset formula;

[0021] Wherein, the first preset formula is:

[0022]

[0023] u(t) = k p e(t) + sum;

[0024] Wherein, u(t) represents the opening degree of the outlet air duct, k p represents the PID proportional parameter, T i represents the PID integral parameter, e(t) represents the result of the noise reduction processing of the error value between the temperature and humidity set value at time step t and the feedback temperature, T m represents the cycle interval time, e s represents the anti - oversaturation difference, and the anti - oversaturation difference is the difference between the actual air duct opening degree at the previous time step and the opening degree of the outlet air duct.

[0025] According to a temperature and humidity control method based on a multi - point sensor network provided by the present invention, calculate the feedback temperature according to the temperature and humidity data at the current time step, specifically including:

[0026] Calculate the feedback temperature according to the temperature and humidity data at the current time step according to a second preset formula;

[0027] Wherein, the second preset formula is:

[0028]

[0029] Wherein, T(t) represents the feedback temperature, T i represents the temperature and humidity data, i is the number of sensors distributed in the greenhouse to be controlled, max(T) represents the maximum temperature measured by the distributed sensors at the current time, and min(T) represents the minimum temperature measured by the distributed sensors at the current time.

[0030] According to a temperature and humidity control method based on a multi - point sensor network provided by the present invention, calculate the error value between the temperature and humidity set value and the feedback temperature, and perform noise reduction processing on the error value to obtain the result of the noise reduction processing, specifically including:

[0031] When the error value is greater than a first preset value, set the error value to the difference between the error value and the first preset value;

[0032] When the error value is not less than the second preset value and not greater than the first preset value, set the error value to 0;

[0033] When the error value is less than the second preset value, set the error value to the sum of the error value and the second preset value.

[0034] According to a temperature and humidity control method based on a multi-point sensor network provided by the present invention, the PID proportional parameter and the PID integral parameter are adaptively adjusted according to the noise reduction processing result according to a third preset formula;

[0035] The third preset formula includes:

[0036]

[0037] where k p represents the PID proportional parameter, T i represents the PID integral parameter, α, β, γ are adjustment parameters, and e(t) represents the noise reduction processing result of the error value between the temperature and humidity set value at time step t and the feedback temperature.

[0038] According to a temperature and humidity control method based on a multi-point sensor network provided by the present invention, the method further includes:

[0039] Display the temperature and humidity data and the device operation status based on a human-machine interaction interface;

[0040] and / or, obtain the set parameters input by the user based on a human-machine interaction interface; wherein, the set parameters include at least one of a PID proportional parameter, a PID integral parameter, a cycle interval time, a first preset value, a second preset value, and a temperature and humidity set value.

[0041] The present invention also provides a temperature and humidity control device based on a multi-point sensor network, including the following modules:

[0042] A data acquisition unit for acquiring temperature and humidity data of multiple target areas of a greenhouse to be controlled based on a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes a plurality of sensor nodes, and the sensor nodes are arranged at different positions of the greenhouse to be controlled to cover each target area;

[0043] A central control system for calculating the output air vent opening degree according to the temperature and humidity data and controlling the greenhouse to be controlled according to the output air vent opening degree.

[0044] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the temperature and humidity control method based on a multi-point sensor network as described in any one of the above is implemented.

[0045] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the temperature and humidity control method based on a multi-point sensor network as described in any one of the above is implemented.

[0046] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, the temperature and humidity control method based on a multi-point sensor network as described in any one of the above is implemented.

[0047] The temperature and humidity control method and device based on a multi-point sensor network provided by the present invention obtain temperature and humidity data of multiple target areas of a greenhouse to be controlled through a pre-set multi-point temperature and humidity sensing and monitoring network. The multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are arranged at different positions of the greenhouse to be controlled to cover each target area. The opening degree of the output air vent is calculated according to the temperature and humidity data, and the greenhouse to be controlled is controlled according to the opening degree of the output air vent. The present invention realizes multi-point monitoring through the multi-point temperature and humidity sensing and monitoring network, calculates the opening degree of the output air vent through the obtained multiple temperature and humidity data, thereby adjusting the overall ventilation volume of the greenhouse to be controlled, realizing the coordinated control of multiple areas, and significantly improving the accuracy of greenhouse environment control. Description of the Drawings

[0048] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0049] Figure 1 is one of the schematic flowcharts of the temperature and humidity control method based on a multi-point sensor network provided by the present invention;

[0050] Figure 2 is the schematic diagram of the PID control feedback adjustment mechanism of the temperature and humidity control method based on a multi-point sensor network provided by the present invention;

[0051] Figure 3 is the second schematic flowchart of the temperature and humidity control method based on a multi-point sensor network provided by the present invention;

[0052] Figure 4It is a schematic diagram of the PID anti - saturation mechanism of the temperature and humidity control method based on a multi - point sensor network provided by the present invention;

[0053] Figure 5 It is a schematic structural diagram of the temperature and humidity control device based on a multi - point sensor network provided by the present invention;

[0054] Figure 6 It is a schematic structural diagram of the electronic device provided by the present invention. Detailed implementation manners

[0055] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0056] In the existing greenhouse environment control technology, the PID controller is one of the most common solutions. The PID controller adjusts the output of the controlled object (such as a fan or a heating device) by adjusting three parameters: proportional, integral, and derivative, according to the deviation between the set value and the actual measured value, so that the environmental parameters (such as temperature or humidity) approach the set value.

[0057] Traditional greenhouse control systems usually adopt a single - point PID control scheme, which is based on the data of one or a few sensors for control. For example, in a greenhouse, a temperature sensor may be installed at a central position, and the working states of ventilation, heaters, or humidifiers are controlled according to the data of this sensor. The PID controller adjusts according to the temperature deviation at the central position to make the temperature at this point approach the set value. However, due to the uneven distribution of temperature and humidity in the greenhouse, this single - point control method often fails to meet the accurate regulation requirements of environmental parameters throughout the greenhouse.

[0058] Another common control method is timing control or fixed start - stop control. This method does not rely on real - time environmental parameters, but regularly opens and closes air vents or starts and stops heating devices according to preset time or conditions. For example, opening the air vents for ventilation at a certain time period every day, or starting the heater when the outside temperature reaches a certain fixed value. Although this control method is simple, it lacks flexibility and cannot adapt to the real - time changes of the environment, often resulting in high energy consumption or unsatisfactory control effects.

[0059] To solve the above problems, in some relatively advanced greenhouses, a simple zoning control scheme has been tried, that is, the greenhouse is divided into several zones, and sensors and controllers are independently set in each zone. This zoning control can improve the regulation accuracy of temperature and humidity to a certain extent. However, since the controllers in each zone work independently and lack coordination, there is still a problem that the overall control effect is not ideal. In addition, when implementing this scheme in a multi-span greenhouse, control conflicts often occur due to the interaction between zones, further reducing the control effect.

[0060] In recent years, with the development of data analysis technology, some researchers have proposed an intelligent control scheme based on data-driven. This scheme analyzes historical data and real-time data, establishes an environmental model, and uses machine learning algorithms to optimize control strategies. Although such schemes show good control effects in some experiments, their implementation process is complex, costly, and highly dependent on data. The feasibility for actual large-scale applications remains to be verified.

[0061] With the popularization of the Internet of Things technology, more and more greenhouses have begun to introduce a multi-point sensor network, and the data of each sensor is transmitted to the central control system in real time through the IoT platform. This method can achieve real-time monitoring of temperature and humidity and dynamic adjustment of control strategies, improving the accuracy of environmental control. However, most current IoT platforms still rely on traditional PID control algorithms and lack targeted optimization for the complex environment of multi-span greenhouses.

[0062] In summary, the existing technical solutions have certain limitations in single-point control, timing control, simple zoning control, and data-driven intelligent control. Especially in the environment of large-area and multi-zone multi-span greenhouses, traditional control schemes are difficult to achieve precise regulation of temperature and humidity. Based on this, the present invention proposes a temperature and humidity control method and device based on a multi-point sensor network.

[0063] The following combines Figures 1 - 4 to describe the temperature and humidity control method based on a multi-point sensor network of the present invention. Figure 1 is one of the schematic flowcharts of the temperature and humidity control method based on a multi-point sensor network provided by the present invention. As Figure 1 shown, the method includes:

[0064] Step 110: Obtain the temperature and humidity data of multiple target areas of the greenhouse to be controlled based on a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are set at different positions of the greenhouse to be controlled to cover each target area.

[0065] It should be noted that the greenhouse to be controlled can be any greenhouse, especially a multi-span greenhouse. It should be explained that multi-span greenhouses have a large area and a complex structure, resulting in extremely uneven temperature and humidity distribution inside. Existing greenhouse environment control technologies, especially traditional methods based on PID control, have the following main problems when dealing with such a special environment as a multi-span greenhouse:

[0066] 1) Poor control effect due to uneven temperature and humidity distribution: Traditional single-point or simple zoning control methods are difficult to cover the temperature and humidity differences in the entire greenhouse, resulting in some areas being overheated or overhumid, while other areas cannot reach the set environmental conditions, thus affecting the balance of crop growth;

[0067] 2) Insufficient control response speed and accuracy: Existing PID controllers often cannot quickly respond to temperature and humidity changes in large-area and multi-region greenhouse environments, and due to the lack of an effective multi-region coordination mechanism, it is difficult to ensure control accuracy;

[0068] 3) Low energy utilization efficiency: Due to the limitations of control accuracy and response speed, traditional systems often cannot adjust according to demand, resulting in low working efficiency of equipment such as ventilation and heaters, and serious energy waste;

[0069] 4) Control conflicts in complex environments: In a multi-region independent control system, the controllers of each region may conflict due to the interactive influence between regions, further weakening the overall control effect and even possibly causing system instability.

[0070] Based on this, the present invention sets up a multi-point temperature and humidity sensing monitoring network to obtain the temperature and humidity data of multiple target regions in the greenhouse to be controlled, and cooperates with the control method in step 120 to solve the problems of poor environmental control accuracy and effect caused by a large area and complex structure, and achieve more accurate and efficient temperature and humidity regulation in the multi-span greenhouse.

[0071] Among them, the temperature and humidity data can be temperature data, humidity data, or both. The present invention does not make any restrictions on this.

[0072] It should be emphasized that the multi-point temperature and humidity sensing monitoring network is a multi-point temperature and humidity sensor network deployed inside the greenhouse to be controlled. These sensors are arranged at different positions in the greenhouse to cover each target region. The present invention realizes the real-time monitoring and feedback of the temperature and humidity in each region by deploying a multi-point temperature and humidity sensor network inside the greenhouse to be controlled, and overcomes the problem of uneven environmental control caused by traditional single-point measurement.

[0073] It should be emphasized that the present invention does not specifically limit the arrangement position of the sensors, as long as the target area can be covered. The present invention also does not limit the specific number of sensor nodes, and the specific number is related to the area of the greenhouse to be controlled and the specifications of the sensors. In addition, the division of a single target area is based on a square plot of 8 meters × 8 meters.

[0074] Step 120: Calculate the opening degree of the output air vent according to the temperature and humidity data, and control the greenhouse to be controlled according to the opening degree of the output air vent.

[0075] In step 120, based on the multiple temperature and humidity data obtained in step 110, calculate the opening degree of the output air vent, use the opening degree of the output air vent as a control signal, and send it to the greenhouse. The greenhouse generates a new air temperature under the new opening degree of the air vent, which is monitored and obtained by the sensor and used as a signal for the next feedback control. In this way, the temperature and humidity control of the greenhouse to be controlled is realized in a cycle.

[0076] In order to solve the problems of uneven distribution of temperature and humidity in a multi-span greenhouse and the deficiencies of traditional PID control in the prior art, the present invention calculates the opening degree of the output air vent based on the temperature and humidity data obtained by a multi-point temperature and humidity sensing and monitoring network, and controls the greenhouse to be controlled according to the opening degree of the output air vent, which is more intelligent and targeted, and can improve the accuracy and efficiency of the environmental control in the greenhouse.

[0077] Furthermore, in some embodiments, the actuator of step 120 is arranged in the central control system. The central control system is the core part of the present invention, integrating functions such as data acquisition, processing, execution of control algorithms, and system monitoring. The central control system realizes the comprehensive monitoring and precise control of each area in the greenhouse through communication with the multi-point sensor network and the air vent regulation device. The system can also be connected to an external meteorological data interface to further improve the intelligent level of control.

[0078] The present invention deploys a multi-point sensor network to real-time monitor the temperature and humidity of each area in the multi-span greenhouse, and feeds back these data to the central control system. Then, by using an intelligent target PID control algorithm, precise control of the temperature and humidity is realized to ensure that the environmental parameters of each area can reach the set values.

[0079] The following further explains step 120. In some embodiments, calculating the opening degree of the output air vent according to the temperature and humidity data, and controlling the greenhouse to be controlled according to the opening degree of the output air vent specifically includes:

[0080] Step 121: Calculate the feedback temperature according to the temperature and humidity data at the current time step;

[0081] Step 122: Calculate the error value between the temperature and humidity set value and the feedback temperature, and perform noise reduction processing on the error value to obtain the result of noise reduction processing;

[0082] Step 123: Input the result of noise reduction processing into the target PID control algorithm, and calculate the opening degree of the output air vent according to the result of noise reduction processing;

[0083] Step 124: Generate a ventilation adjustment control signal according to the opening degree of the output air vent, and send the ventilation adjustment control signal to the greenhouse to be controlled to control the greenhouse to be controlled.

[0084] Specifically, the present invention proposes an improved PID control algorithm. This algorithm is not only based on a single temperature and humidity set point, but also can comprehensively consider the environmental data of multiple regions. Through weight allocation and multi-point adjustment mechanisms, it improves the control accuracy and response speed of each region.

[0085] In step 121, the feedback temperature is determined according to the temperature and humidity data of the current time step. Specifically, in the case where only one temperature and humidity data is measured, this temperature and humidity data is used as the feedback temperature. In the case where multiple temperature and humidity data are measured, the feedback temperature is calculated according to the multiple temperature and humidity data. The present invention will explain the calculation method of the feedback temperature in subsequent embodiments.

[0086] In step 122, calculate the difference between the temperature and humidity set value and the feedback temperature as the error value e(t), and perform noise reduction processing on the error value.

[0087] It should be explained that the temperature and humidity set value is preset, and the present invention does not limit this. The purpose of noise reduction processing is to simplify the fluctuation of the error value and prevent the air vent from swinging frequently. The present invention will further explain the method of noise reduction processing in subsequent embodiments.

[0088] In step 123, input the result of noise reduction processing into the target PID control algorithm, and calculate the opening degree of the output air vent based on the target PID control algorithm. It should be explained that the target PID control algorithm referred to in the present invention is an adjusted PID control algorithm.

[0089] In step 124, a ventilation adjustment control signal is generated according to the calculated opening degree of the output air vent, and the ventilation adjustment control signal is sent to the greenhouse to be controlled. It should be noted that the control range of the calculated opening degree of the output air vent is related to the coverage range of the sensor nodes associated with the feedback temperature corresponding to the input noise reduction processing result. For example, the feedback temperature is calculated based on the temperature and humidity data measured by the sensor nodes covering the target area 1, and then the noise reduction processing result is obtained. The noise reduction processing result is input into the target PID control algorithm to generate the opening degree of the output air vent, and the ventilation adjustment control signal generated according to the opening degree of the output air vent is used to control the target area 1.

[0090] The present invention adopts an improved target PID control algorithm, combines real-time data analysis, quickly responds to changes in the greenhouse environment, dynamically adjusts the opening and closing states of equipment such as the air vent opening degree, improves the control accuracy, and ensures that the temperature and humidity in each area reach equilibrium in the shortest time.

[0091] In addition, the present invention does not limit the specific generation method of the ventilation adjustment control signal and the specific sending method of the ventilation adjustment control signal, which can be selected according to the actual situation.

[0092] Furthermore, based on the above embodiments, in some embodiments, calculating the feedback temperature according to the temperature and humidity data of the current time step specifically includes:

[0093] Calculating the feedback temperature according to the temperature and humidity data of the current time step according to the second preset formula;

[0094] Wherein, the second preset formula includes:

[0095]

[0096] Wherein, T(t) represents the feedback temperature, T i represents the temperature and humidity data, i is the number of sensors distributed in the greenhouse to be controlled, max(T) represents the maximum temperature measured by the distributed sensors at the current time, and min(T) represents the minimum temperature measured by the distributed sensors at the current time.

[0097] Based on the above embodiments, in order to explain the mechanism of the target PID control algorithm in more detail, a specific embodiment is given.

[0098] In one embodiment, as Figure 2 shown, Figure 2The mechanism of the automatic control algorithm for the opening degree of greenhouse air vents (the target PID control algorithm) is introduced. Taking temperature control as an example, in this embodiment, a temperature sensor is placed at the central position inside the greenhouse. At each time step, the difference e(t) between the temperature set value and the measured temperature is taken, and the error is denoised. The method is that when -0.5 < e(t) < 0.5, e(t) = 0. The denoised e(t) is input into the target PID control algorithm C(s), and the output air vent opening degree u(t) is obtained. The air vent opening degree u(t) is used as a control signal and sent to the greenhouse G(s). The greenhouse generates a new air temperature under the new air vent opening degree, which is monitored and acquired by the sensor and used as the signal for the next feedback control. This cycle continues as shown in Figure 3 shown.

[0099] The target PID control algorithm includes the following:

[0100]

[0101] e(t) = ref - T(t) (2)

[0102] where ref is the temperature set value, T is the feedback temperature, and t is the time (in seconds).

[0103] Particularly for the multi - area structure of a multi - span greenhouse, the present invention designs a multi - area collaborative control mechanism. The actuator in step 120 is set in the central control system to calculate the ventilation adjustment amount for each area based on the temperature and humidity data of each area, so as to achieve the balanced control of the overall environment. This can avoid over - adjustment or control conflicts in a single area and ensure the temperature and humidity balance in the entire greenhouse. Therefore, the feedback temperature T is calculated by the following distributed temperature pre - processing formula

[0104]

[0105] where i is the number of sensors distributed in the greenhouse.

[0106] k p and k p / T i are the proportional and integral term parameters respectively, and these parameters are obtained through the following transfer function

[0107]

[0108] where k is the steady - state gain; τ is the time constant; t r is the delay time. k p and T i are calculated by the following formula

[0109] T i = τ (6)

[0110]

[0111]

[0112] Among them, λ is an adjustment parameter.

[0113] Furthermore, in some other embodiments, the implementation manner of step 120 further includes: constructing a prediction model of the greenhouse environment by using a machine learning algorithm, predicting future temperature and humidity changes based on historical data and real-time data, and calculating the opening degree of the output air vent according to the prediction results for advance regulation. By predicting future environmental changes, measures can be taken in advance to reduce the hysteresis of control and improve the control efficiency.

[0114] In still some other embodiments, the implementation manner of step 120 further includes: obtaining the opening degree of the output air vent by using the fuzzy control method according to the temperature and humidity data, and controlling the greenhouse to be controlled according to the opening degree of the output air vent. It can be understood that, compared with PID control, fuzzy control does not rely on an accurate mathematical model, but processes complex nonlinear systems through fuzzy logic rules. In greenhouse environment control, fuzzy control can process the temperature and humidity regulation of different regions according to experience and rules. Fuzzy control has strong adaptability, especially when facing complex and uncertain environments, it can adjust control strategies more flexibly.

[0115] For example, in one embodiment, the fuzzy controller dynamically adjusts k according to the values of the error e(t) and the error change rate using an expert experience rule base p , T i . The expert experience rule base is as follows:

[0116] If the error is large and the change is fast, then increase k p , decrease

[0117] If the error is small and the change is slow, then decrease k p , increase

[0118] This method applies different control strategies to different situations according to the actual performance of the system.

[0119] The above implementation manners may exhibit different advantages and applicability in different scenarios. During the actual operation process, specific implementation manners can be selected according to factors such as the scale, budget, environmental conditions, and control requirements of the greenhouse, so as to further optimize the management of the greenhouse environment.

[0120] The following further describes the multi-point temperature and humidity sensing monitoring network. In some embodiments, the multi-point temperature and humidity sensing monitoring network further includes a coordinator;

[0121] The sensor node includes a temperature and humidity sensor module and a communication module. The temperature and humidity sensor module is used to collect temperature and humidity data, and the communication module is used to communicate with other sensor nodes and the coordinator;

[0122] The coordinator is used to aggregate the data of the sensor nodes.

[0123] Specifically, the multi-point temperature and humidity sensing monitoring network mainly consists of the following parts:

[0124] Sensor nodes: Each node is equipped with a temperature and humidity sensor module for collecting environmental data. There is a communication module in the node for wireless communication with other nodes and the coordinator. In some embodiments, the communication module is a Zigbee module. It should be noted that Zigbee is usually used for wireless communication between Internet of Things (IoT) devices and has prominent advantages in greenhouse scenarios, mainly manifested in saving the work of laying cables, etc., and at the same time avoiding affecting activities such as agricultural operations.

[0125] Coordinator (gateway): As the core device of the network, it is responsible for managing and controlling the entire multi-point temperature and humidity sensing monitoring network, and at the same time aggregating the data uploaded by each node. It is usually connected to the upper-layer computing device or server for data storage and processing.

[0126] Furthermore, in some embodiments, the multi-point temperature and humidity sensing monitoring network further includes router nodes for expanding the network coverage or improving communication reliability. Router nodes can forward the data of other nodes.

[0127] In a specific embodiment, the sensors of the multi-point temperature and humidity sensing monitoring network continuously monitor the temperature and humidity data. The short-range, low-power Zigbee wireless communication technology based on the IEEE 802.15.4 standard is suitable for low-rate and energy-constrained devices. Each node is connected to each other through Zigbee technology, and the sensor node is connected to the coordinator through relay or directly. The coordinator then transmits the data to the central server or cloud platform. Finally, the data is transmitted to the central control system where the actuator in step 120 is located. This multi-point monitoring layout can capture the temperature and humidity distribution differences in the greenhouse and provide data support for subsequent precise control.

[0128] Based on the above embodiments, in the actual operation process, the multi-point temperature and humidity sensing monitoring network performs the following steps:

[0129] 1) Data collection: The sensor node regularly collects the surrounding temperature and humidity information and encapsulates it into data packets.

[0130] 2) Data transmission: The sensor sends data to nearby nodes through the Zigbee network. The data packet can be relayed through multiple nodes and finally transmitted to the coordinator.

[0131] 3) Data processing: After aggregating the data, the coordinator can transmit the data to the central server or cloud platform through Wi-Fi, Ethernet or other interfaces for further analysis, storage or display.

[0132] 4) Dynamic network adjustment: If a certain node fails or the signal weakens, the Zigbee network can automatically reconfigure the routing to ensure reliable data transmission.

[0133] In the embodiment of the present invention, by deploying a multi-point sensor network inside the greenhouse, the temperature and humidity data of different regions can be monitored in real time, and these data are fed back to the actuator in step 120. This all-round monitoring and feedback mechanism greatly improves the accuracy of environmental data and provides a reliable data basis for precise control.

[0134] The following further describes the noise reduction process. In some embodiments, the error value between the temperature and humidity set value and the feedback temperature is calculated, and the error value is subjected to noise reduction processing to obtain a noise reduction processing result, which specifically includes:

[0135] When the error value is greater than the first preset value, the error value is set to the difference between the error value and the first preset value;

[0136] When the error value is not less than the second preset value and not greater than the first preset value, the error value is set to 0;

[0137] When the error value is less than the second preset value, the error value is set to the sum of the error value and the second preset value.

[0138] Specifically, the first preset value and the second preset value are set to judge the error value, so as to assign a value to the error value and complete the noise reduction.

[0139] It should be noted that except that the first preset value is greater than the second preset value, the present invention does not impose other restrictions on the first preset value and the second preset value, and they can be set according to the actual situation.

[0140] In some embodiments, the first preset value is set to T e (T e > 0), and the second preset value is set to -T e .

[0141] Denote the error value as e. When e > T e , set e = e - T e ; when -T e ≤ e ≤ Te When the condition is met, set e = 0; when e < -T e When the condition is met, set e = e + T e .

[0142] In a specific embodiment, as Figure 3 shown, T e is set to 0.5.

[0143] The target PID control algorithm is further described below. In some embodiments, the noise reduction processing result is input into the target PID control algorithm, and the output air outlet opening is calculated according to the noise reduction processing result, specifically including:

[0144] Calculate the output air outlet opening of the current time step according to the preset PID proportional parameter, PID integral parameter, cycle interval time, and the noise reduction processing result according to the first preset formula;

[0145] Among them, the first preset formula includes:

[0146]

[0147] u(t) = k p e(t) + sum;

[0148] Among them, u(t) represents the output air outlet opening, k p represents the PID proportional parameter, T i represents the PID integral parameter, e(t) represents the noise reduction processing result of the error value between the temperature and humidity set value at time step t and the feedback temperature, T m represents the cycle interval time, e s represents the anti-over-saturation difference, and the anti-over-saturation difference is the difference between the actual air outlet opening of the previous time step and the output air outlet opening.

[0149] Specifically, the target PID control algorithm is burned into the single-chip microcomputer and deployed in the greenhouse control cabinet. The target PID control algorithm includes an anti-saturation mechanism for the integral term (that is, the first preset formula sum = sum + (k p / T i ×e + 1 / T i ×e s )×T m ).

[0150] The anti-integral term saturation method is as Figure 4 shown. Among them, is the integral term. In each time step, add term to the integral term, where T t = T i , e s\((t)=u(t)-u'(t)\), where \(u(t)\) is the actual air vent opening executed by the film rolling machine, with a range of 0 - 100%; \(u'(t)\) is the air vent opening output by the PID algorithm. It can be understood that the film rolling machine is a device for opening and closing the air vent in the greenhouse.

[0151] To provide a more detailed description of the target PID control algorithm, a specific embodiment is given. In this embodiment, the specific algorithm is as follows:

[0152]

[0153]

[0154]

[0155] The following further explains the setting of the PID proportional parameter and the PID integral parameter. In some embodiments, the PID proportional parameter and the PID integral parameter are adaptively adjusted according to the noise reduction processing result according to a third preset formula;

[0156] The third preset formula includes:

[0157]

[0158] where \(k\) p represents the PID proportional parameter, \(T\) i represents the PID integral parameter, \(\alpha\), \(\beta\), \(\gamma\) are adjustment parameters, and \(e(t)\) represents the noise reduction processing result of the error value between the temperature and humidity set value at time step \(t\) and the feedback temperature.

[0159] Specifically, the target PID control algorithm in the embodiment of the present invention has an adaptive parameter adjustment function. The system dynamically adjusts the proportional, integral, and derivative parameters of the PID controller according to the deviation between the real-time monitored environmental data and the set value. Through adaptive adjustment, the system can optimize the control strategy under different environmental conditions and ensure that the controller can achieve the best control effect in various situations. The following is the adaptive PID formula that comprehensively considers the deviation magnitude and its derivative, that is, the third preset formula:

[0160]

[0161] where \(\alpha\), \(\beta\), \(\gamma\) are adjustment parameters that determine the dynamic behavior of the adaptive control.

[0162] In this way, the PID controller can adaptively adjust parameters according to real-time feedback information to optimize the system response. The target PID control algorithm adopted in the embodiments of the present invention can perform adaptive parameter adjustment based on real-time temperature and humidity data, and can comprehensively consider the environmental data of multiple regions. Through multi-region collaborative control, the accuracy and response speed of temperature and humidity regulation are improved.

[0163] Based on the above embodiments, the method further includes:

[0164] Displaying the temperature and humidity data and the device operation status based on a human-machine interaction interface;

[0165] And / or, obtaining set parameters input by a user based on a human-machine interaction interface; wherein, the set parameters include at least one of a PID proportional parameter, a PID integral parameter, a cycle interval time, a first preset value, a second preset value, and a temperature and humidity set value.

[0166] It should be noted that the embodiments of the present invention also provide a friendly human-machine interaction interface. Users can view information such as the temperature and humidity data in the greenhouse and the device operation status (current air vent opening, sunshade curtain position, insulation quilt position) in real time through this interface, and also support manual adjustment of set parameters. The set parameters include a PID proportional parameter, a PID integral parameter, and a temperature and humidity set value. The system also supports remote control. Users can monitor and adjust the greenhouse environment anytime and anywhere through the Internet or mobile devices, which is convenient and fast.

[0167] In addition, it should be noted that the human-machine interaction interface can be integrated on the actuator in step 120. For example, based on the above embodiments, the actuator in step 120 is arranged in the central control system. The central control system of the present invention integrates multiple functions, including data processing, control algorithm execution, system monitoring, etc., and provides a friendly human-machine interaction interface and a remote control function. Users can view and adjust the environmental parameters in the greenhouse at any time.

[0168] Based on the above embodiments, the present invention combines multi-point monitoring, an improved intelligent PID control algorithm, multi-region collaborative control, energy-saving optimization, a self-learning function, and intelligent remote control, significantly improving the accuracy, efficiency, and stability of the environmental control of a multi-span greenhouse, overcoming many deficiencies in the prior art, and having obvious technical advantages and application values. Through the present invention, it is expected to greatly improve the effect and stability of the environmental control in a multi-span greenhouse, provide a more ideal growth environment for crops, and thus improve agricultural production efficiency and economic benefits.

[0169] The temperature and humidity control method based on a multi-point sensor network provided by the present invention obtains the temperature and humidity data of multiple target areas in a greenhouse to be controlled through a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are arranged at different positions in the greenhouse to be controlled so as to cover each target area; the opening degree of the output air vent is calculated according to the temperature and humidity data, and the greenhouse to be controlled is controlled according to the opening degree of the output air vent. The present invention realizes multi-point monitoring through the multi-point temperature and humidity sensing and monitoring network, calculates the opening degree of the output air vent through the acquired multiple temperature and humidity data, thereby adjusting the overall ventilation volume of the greenhouse to be controlled, realizing the coordinated control of multiple areas, and significantly improving the accuracy of greenhouse environment control.

[0170] The temperature and humidity control device based on a multi-point sensor network provided by the present invention will be described below. The temperature and humidity control device based on a multi-point sensor network described below can be correspondingly referred to the temperature and humidity control method based on a multi-point sensor network described above. Figure 5 is a schematic structural diagram of the temperature and humidity control device based on a multi-point sensor network provided by the present invention, as Figure 5 shown, the device includes the following modules:

[0171] A data acquisition unit 510, configured to obtain the temperature and humidity data of multiple target areas in a greenhouse to be controlled through a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are arranged at different positions in the greenhouse to be controlled so as to cover each target area;

[0172] A central control system 520, configured to calculate the opening degree of the output air vent according to the temperature and humidity data, and control the greenhouse to be controlled according to the opening degree of the output air vent.

[0173] According to a temperature and humidity control device based on a multi-point sensor network provided by the present invention, calculating the opening degree of the output air vent according to the temperature and humidity data, and controlling the greenhouse to be controlled according to the opening degree of the output air vent specifically includes:

[0174] Calculating a feedback temperature according to the temperature and humidity data of the current time step;

[0175] Calculating an error value between the temperature and humidity set value and the feedback temperature, and performing noise reduction processing on the error value to obtain a noise reduction processing result;

[0176] Inputting the noise reduction processing result into a target PID control algorithm, and calculating the opening degree of the output air vent according to the noise reduction processing result;

[0177] Generate a ventilation adjustment control signal according to the opening degree of the output air outlet, and send the ventilation adjustment control signal to the greenhouse to be controlled to control the greenhouse to be controlled.

[0178] According to a temperature and humidity control device based on a multi-point sensor network provided by the present invention, the multi-point temperature and humidity sensing and monitoring network further includes a coordinator;

[0179] The sensor node includes a temperature and humidity sensor module and a communication module. The temperature and humidity sensor module is used to collect temperature and humidity data, and the communication module is used to communicate with other sensor nodes and the coordinator;

[0180] The coordinator is used to summarize the data of the sensor nodes.

[0181] According to a temperature and humidity control device based on a multi-point sensor network provided by the present invention, input the noise reduction processing result into a target PID control algorithm, and calculate the opening degree of the output air outlet according to the noise reduction processing result, specifically including:

[0182] Calculate the opening degree of the output air outlet at the current time step according to the preset PID proportional parameter, PID integral parameter, cycle interval time and the noise reduction processing result according to a first preset formula;

[0183] Among them, the first preset formula includes:

[0184]

[0185] u(t)=k p e(t)+sum;

[0186] Among them, u(t) represents the opening degree of the output air outlet, k p represents the PID proportional parameter, T i represents the PID integral parameter, e(t) represents the noise reduction processing result of the error value between the temperature and humidity set value at time step t and the feedback temperature, T m represents the cycle interval time, e s represents the anti-over-saturation difference, and the anti-over-saturation difference is the difference between the actual air outlet opening degree at the previous time step and the output air outlet opening degree.

[0187] According to a temperature and humidity control device based on a multi-point sensor network provided by the present invention, calculate the feedback temperature according to the temperature and humidity data at the current time step, specifically including:

[0188] Calculate the feedback temperature according to the temperature and humidity data at the current time step according to a second preset formula;

[0189] Among them, the second preset formula includes:

[0190]

[0191] Among them, T(t) represents the feedback temperature, T i represents the temperature and humidity data, i is the number of sensors distributed in the greenhouse to be controlled, max(T) represents the maximum temperature measured by the distributed sensors at the current time, and min(T) represents the minimum temperature measured by the distributed sensors at the current time.

[0192] According to a temperature and humidity control device based on a multi-point sensor network provided by the present invention, an error value between the temperature and humidity set value and the feedback temperature is calculated, and the error value is subjected to noise reduction processing to obtain a noise reduction processing result, which specifically includes:

[0193] When the error value is greater than a first preset value, the error value is set to the difference between the error value and the first preset value;

[0194] When the error value is not less than a second preset value and not greater than the first preset value, the error value is set to 0;

[0195] When the error value is less than the second preset value, the error value is set to the sum of the error value and the second preset value.

[0196] According to a temperature and humidity control device based on a multi-point sensor network provided by the present invention, the PID proportional parameter and the PID integral parameter are adaptively adjusted according to the noise reduction processing result according to a third preset formula;

[0197] The third preset formula includes:

[0198]

[0199] Among them, k p represents the PID proportional parameter, T i represents the PID integral parameter, α, β, γ are adjustment parameters, and e(t) represents the noise reduction processing result of the error value between the temperature and humidity set value and the feedback temperature at time step t.

[0200] According to a temperature and humidity control device based on a multi-point sensor network provided by the present invention, the device further includes:

[0201] Displaying the temperature and humidity data and the device operation status based on a human-machine interaction interface;

[0202] And / or, obtaining set parameters input by a user based on the human-machine interaction interface; wherein, the set parameters include at least one of a PID proportional parameter, a PID integral parameter, a cycle interval time, a first preset value, a second preset value, and a temperature and humidity set value.

[0203] The temperature and humidity control device based on a multi-point sensor network provided by the present invention obtains the temperature and humidity data of multiple target areas of a greenhouse to be controlled through a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are arranged at different positions of the greenhouse to be controlled to cover each target area; the opening degree of the output air vent is calculated according to the temperature and humidity data, and the greenhouse to be controlled is controlled according to the opening degree of the output air vent. The present invention realizes multi-point monitoring through the multi-point temperature and humidity sensing and monitoring network, calculates the opening degree of the output air vent through the obtained multiple temperature and humidity data, thereby adjusting the overall ventilation volume of the greenhouse to be controlled, realizing the coordinated control of multiple areas, and significantly improving the accuracy of greenhouse environment control.

[0204] Figure 6 An example of a schematic physical structure diagram of an electronic device is as Figure 6 shown. The electronic device may include: a processor 610, a communication interface 620, a memory 630, and a communication bus 640. Among them, the processor 610, the communication interface 620, and the memory 630 complete mutual communication through the communication bus 640. The processor 610 can call the logical instructions in the memory 630 to execute the temperature and humidity control method based on a multi-point sensor network. The method includes: obtaining the temperature and humidity data of multiple target areas of a greenhouse to be controlled through a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are arranged at different positions of the greenhouse to be controlled to cover each target area; the opening degree of the output air vent is calculated according to the temperature and humidity data, and the greenhouse to be controlled is controlled according to the opening degree of the output air vent.

[0205] In addition, when the logical instructions in the above-mentioned memory 630 are implemented in the form of a software functional unit and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disc that can store program codes.

[0206] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the temperature and humidity control method based on a multi-point sensor network provided by the above-mentioned various methods. The method includes: obtaining temperature and humidity data of multiple target areas of a greenhouse to be controlled based on a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are arranged at different positions of the greenhouse to be controlled to cover each target area; calculating the opening degree of the output air vent according to the temperature and humidity data, and controlling the greenhouse to be controlled according to the opening degree of the output air vent.

[0207] In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the temperature and humidity control method based on a multi-point sensor network provided by the above-mentioned various methods. The method includes: obtaining temperature and humidity data of multiple target areas of a greenhouse to be controlled based on a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are arranged at different positions of the greenhouse to be controlled to cover each target area; calculating the opening degree of the output air vent according to the temperature and humidity data, and controlling the greenhouse to be controlled according to the opening degree of the output air vent.

[0208] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0209] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0210] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A temperature and humidity control method based on a multi-point sensor network, characterized in that, Including: Obtaining the temperature and humidity data of multiple target areas in the greenhouse to be controlled based on a pre-set multi-point temperature and humidity sensing monitoring network; The multi-point temperature and humidity sensing monitoring network includes multiple sensor nodes, and each of the sensor nodes is set at different positions in the greenhouse to be controlled so as to cover each target area; Calculating the opening degree of the output air vent according to the temperature and humidity data, and controlling the greenhouse to be controlled according to the opening degree of the output air vent.

2. The temperature and humidity control method based on a multi-point sensor network according to claim 1, wherein, Calculating the opening degree of the output air vent according to the temperature and humidity data, and controlling the greenhouse to be controlled according to the opening degree of the output air vent, specifically including: Calculating a feedback temperature according to the temperature and humidity data of the current time step; Calculating the error value between the temperature and humidity set value and the feedback temperature, and performing noise reduction processing on the error value to obtain a noise reduction processing result; Inputting the noise reduction processing result into a target PID control algorithm, and calculating the opening degree of the output air vent according to the noise reduction processing result; Generating a ventilation adjustment control signal according to the opening degree of the output air vent, and sending the ventilation adjustment control signal to the greenhouse to be controlled to control the greenhouse to be controlled.

3. The temperature and humidity control method based on a multi-point sensor network according to claim 1, characterized in that The multi-point temperature and humidity sensing monitoring network further includes a coordinator; The sensor node includes a temperature and humidity sensor module and a communication module. The temperature and humidity sensor module is used for collecting temperature and humidity data, and the communication module is used for communicating with other sensor nodes and the coordinator; The coordinator is used for summarizing the data of the sensor nodes.

4. The temperature and humidity control method based on a multi-point sensor network according to claim 2, wherein, Inputting the noise reduction processing result into a target PID control algorithm, and calculating the opening degree of the output air vent according to the noise reduction processing result, specifically including: Calculating the opening degree of the output air vent at the current time step according to the pre-set PID proportional parameter, PID integral parameter, cycle interval time and the noise reduction processing result according to a first preset formula; Wherein, the first preset formula is: u(t) = k p e(t) + s Among them, u(t) represents the opening degree of the outlet air duct, and k p represents the PID proportional parameter, and T i represents the PID integral parameter, e(t) represents the noise reduction processing result of the error value between the temperature and humidity set value at time step t and the feedback temperature, and T m represents the cycle interval time, and e s represents the anti-over-saturation difference, and the anti-over-saturation difference is the difference between the actual air duct opening degree at the previous time step and the opening degree of the outlet air duct.

5. The temperature and humidity control method based on a multi-point sensor network according to claim 2, characterized in that, Calculating a feedback temperature according to the temperature and humidity data of the current time step, specifically including: Calculating a feedback temperature according to the temperature and humidity data of the current time step according to a second preset formula; Wherein, the second preset formula is: Among them, T(t) represents the feedback temperature, T i represents the temperature and humidity data, i is the number of sensors distributed in the greenhouse to be controlled, max(T) represents the maximum temperature measured by the distributed sensors at the current time, and min(T) represents the minimum temperature measured by the distributed sensors at the current time.

6. The temperature and humidity control method based on a multi-point sensor network according to claim 2, characterized in that, Calculating the error value between the temperature and humidity set value and the feedback temperature, and performing noise reduction processing on the error value to obtain a noise reduction processing result, specifically including: When the error value is greater than a first preset value, setting the error value to the difference between the error value and the first preset value; When the error value is not less than a second preset value and not greater than the first preset value, setting the error value to 0; When the error value is less than the second preset value, setting the error value to the sum of the error value and the second preset value.

7. The temperature and humidity control method based on a multi-point sensor network according to claim 4, wherein The PID proportional parameter and the PID integral parameter are adaptively adjusted according to the noise reduction processing result according to a third preset formula; The third preset formula is: Among them, k p represents the PID proportional parameter, T i represents the PID integral parameter, α, β, and γ are adjustment parameters, and e(t) represents the denoising result of the error value between the temperature and humidity set value at time step t and the feedback temperature.

8. The temperature and humidity control method based on a multi-point sensor network according to any one of claims 1-7, characterized in that, The method further includes: Displaying the temperature and humidity data and the device operation status based on a human-computer interaction interface. and / or, obtaining set parameters input by a user based on a man-machine interaction interface; wherein, the set parameters include at least one of a PID proportional parameter, a PID integral parameter, a cycle interval time, a first preset value, a second preset value, and a temperature and humidity set value.

9. A temperature and humidity control device based on a multi-point sensor network, characterized in that, including: a data acquisition unit configured to acquire temperature and humidity data of multiple target areas of a greenhouse to be controlled based on a pre-set multi-point temperature and humidity sensing and monitoring network; the multi-point temperature and humidity sensing and monitoring network includes multiple sensor nodes, and the sensor nodes are arranged at different positions of the greenhouse to be controlled to cover each target area; a central control system configured to calculate an output air vent opening degree according to the temperature and humidity data and control the greenhouse to be controlled according to the output air vent opening degree.

10. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the temperature and humidity control method based on a multi-point sensor network according to any one of claims 1 to 8.

Images