Energy-saving control method for constant-temperature and constant-humidity air conditioning system and air conditioning control device

Abstract

The invention relates to the technical field of air conditioning systems, and discloses a constant-temperature and constant-humidity air conditioning system energy-saving control method which comprises the steps that first environment information collected by environment sensors of a to-be-adjusted area is dynamically obtained, and the environment sensors comprise an inner area sensor and an outer area sensor; determining a multivariate control strategy required by the to-be-adjusted area and an actuator corresponding to the multivariate control strategy based on the first environment information and an environment condition corresponding to the to-be-adjusted area; controlling the actuator to execute an adjusting action according to the multi-element control strategy, and dynamically monitoring second environment information fed back by the inner area sensor; and adjusting the adjustment action based on the second environment information so as to enable the to-be-adjusted area to meet the environment condition. The self-adaptability and the flexibility of the air conditioning system are greatly improved, and the energy consumption is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of air-conditioning systems, and in particular to an energy-saving control method and an air-conditioning control device for a constant temperature and humidity air-conditioning system. Background Art

[0002] The development of air conditioning systems has undergone an evolution from simple temperature regulation to complex environmental control. Early air conditioning systems focused on temperature control to provide a comfortable indoor environment. As people's requirements for quality of life continue to increase, air conditioning technology has gradually expanded to the field of humidity control, forming a constant temperature and humidity air conditioning system. These systems can not only maintain a stable indoor temperature, but also accurately control the air humidity to ensure that the indoor environment is comfortable and suitable for specific process requirements (such as clean rooms, laboratories, etc.). In recent years, as the concept of energy conservation and emission reduction has become popular, the development of efficient and energy-saving air conditioning systems has become a key direction for the development of the industry. Modern constant temperature and humidity air conditioning systems must not only meet the needs of temperature and humidity control, but also make breakthroughs in energy efficiency and intelligence to adapt to increasingly stringent environmental protection standards and user needs.

[0003] Traditional constant temperature and humidity air conditioning systems usually operate continuously to maintain the set temperature and humidity by constantly adjusting the cooling, heating and dehumidification functions. Specifically, such systems generally use temperature sensors and humidity sensors to monitor indoor environmental parameters in real time, and then operate in a fixed mode, such as continuously cooling or heating to the set temperature and humidity values ​​to keep indoor conditions stable. When it is detected that the temperature and humidity deviate from the set values, the system makes adjustments through a simple feedback mechanism, such as increasing or decreasing the air volume, changing the water valve opening, etc.

[0004] Although this traditional adjustment method can maintain the stability of the indoor environment to a certain extent, it has obvious limitations in terms of energy efficiency and response speed. Its main problem is high energy consumption and difficulty in adaptive adjustment. Since most of these systems operate in a fixed mode, they cannot dynamically adjust the working state according to the actual load, resulting in energy waste and unnecessary operating costs. Especially in the face of frequent changes in indoor and outdoor environmental parameters, the system's response speed and control accuracy are particularly insufficient, making it difficult to meet the needs of modern energy conservation, environmental protection and high-precision control. Summary of the invention

[0005] The purpose of the present application is to provide an energy-saving control method and an air-conditioning control device for a constant temperature and humidity air-conditioning system, aiming to solve the technical problem that the existing air-conditioning has insufficient adaptive adjustment capability and cannot meet the energy-saving requirements.

[0006] To achieve the above purpose, the present application proposes an energy-saving control method for a constant temperature and humidity air-conditioning system, the energy-saving control method for a constant temperature and humidity air-conditioning system comprising: Dynamically acquiring first environmental information collected by an environmental sensor of the area to be adjusted, wherein the environmental sensor includes an inner area sensor and an outer area sensor; Based on the first environmental information and the environmental conditions corresponding to the area to be adjusted, determining the multivariate control strategy required by the area to be adjusted and the actuator corresponding to the multivariate control strategy; Controlling the actuator to perform a regulating action according to the multivariate control strategy, and dynamically monitoring the second environmental information fed back by the inner area sensor; Based on the second environmental information, the adjustment action is adjusted so that the area to be adjusted meets the environmental condition.

[0007] In one embodiment, the step of dynamically acquiring the first environmental information collected by the environmental sensor of the area to be adjusted, wherein the environmental sensor includes an inner area sensor and an outer area sensor, comprises: Identify the environment type of the area to be adjusted, and selectively and dynamically obtain target parameters corresponding to the environment type from the environmental parameters collected by the environmental sensor of the area to be adjusted, wherein the target parameters include temperature parameters, humidity parameters and pressure difference parameters; Based on the target parameter, an enthalpy parameter corresponding to the area to be adjusted is calculated, and the enthalpy parameter is used as the first environmental information.

[0008] In one embodiment, the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: Based on the second environmental information, analyzing the environmental gap between the area to be adjusted and the environmental condition; Identify the environment type of the area to be adjusted, and dynamically divide the area to be adjusted into a coarse control area and a stable area based on the environment type and the environment gap; Based on the adjustment logics set in the coarse control area and the stable area respectively, the adjustment action is adjusted so that the area to be adjusted meets the environmental conditions.

[0009] In one embodiment, the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: The multivariate control strategy at least includes an air valve opening adjustment strategy, the actuator includes a fresh air valve, and the adjustment action includes adjusting the opening of the fresh air valve; Based on the second environmental information, calculating the return air enthalpy value and the fresh air enthalpy value; Acquire the fresh air temperature of the second environmental information, and determine the regional relationship between the fresh air temperature and a preset temperature range based on the environmental conditions; Based on the regional relationship and the magnitude relationship between the return air enthalpy value and the fresh air enthalpy value, the first opening of the fresh air valve is determined as a basis for adjusting the opening of the fresh air valve so that the area to be adjusted meets the environmental conditions.

[0010] In one embodiment, the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: The multivariate control strategy at least includes a fan frequency control strategy, the actuator includes a fan, and the adjustment action includes frequency adjustment of the fan; Based on the second environmental information, obtain the pressure difference data between indoor and outdoor, and obtain the frequency adjustment range corresponding to the fan maintaining the appropriate indoor pressure gradient under the environmental conditions; Based on the pressure difference and the frequency adjustment range, a PID algorithm is used to determine the frequency of the fan as a basis for adjusting the frequency of the fan, so that the area to be adjusted meets the environmental conditions.

[0011] In one embodiment, the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: The multivariate control strategy includes a cold water valve opening adjustment strategy, the actuator includes a cold water valve, and the adjustment action includes adjusting the opening of the cold water valve; Based on the return air temperature and supply air humidity content in the second environmental information, and the temperature setting value and supply air humidity content setting value corresponding to the environmental conditions, a PID algorithm is used to determine the second opening of the cold water valve as a basis for adjusting the opening of the cold water valve so that the area to be adjusted meets the environmental conditions, wherein the supply air humidity content setting value is dynamically determined based on the upper limit value of the supply air humidity content setting value, the lower limit value of the supply air humidity content setting value, the supply air humidity content, the upper limit value of the supply air humidity content and the lower limit value of the supply air humidity content.

[0012] In one embodiment, after the step of adjusting the second opening of the cold water valve by using a PID algorithm based on the return air temperature and the supply air humidity content in the second environmental information and the temperature setting value and the supply air humidity content setting value corresponding to the environmental condition, the step further includes: Based on the return air temperature in the second environmental information and the temperature setting value corresponding to the environmental condition, a PID algorithm is used to determine a third opening degree of the cold water valve; The opening required corresponding to the environmental condition is output from the second opening and the third opening as a basis for adjusting the opening of the cold water valve.

[0013] In one embodiment, the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: The multivariate control strategy includes a hot water valve opening adjustment strategy, the actuator includes a hot water valve, and the adjustment action includes adjusting the opening of the hot water valve; Based on the return air temperature in the second environmental information and the temperature setting value corresponding to the environmental condition, a PID algorithm is used to determine the fourth opening of the hot water valve as a basis for adjusting the opening of the hot water valve, so that the area to be adjusted meets the environmental condition; Wherein, if the fourth opening value reaches the preset opening value, the working time of the hot water valve is monitored; If the working time reaches the preset working time, the fourth opening degree is dynamically reduced according to the first preset interval time and the first preset value corresponding to the environmental condition.

[0014] In one embodiment, after the step of dynamically reducing the fourth opening according to the first preset interval time and the first preset value corresponding to the environmental condition if the working time reaches the preset working time, the step further includes: The number of hot water valves reaching a preset opening value is counted, and if the number is reduced to a preset number corresponding to the environmental condition, the fourth opening is dynamically increased according to a second preset interval time and a second preset value corresponding to the environmental condition.

[0015] In addition, to achieve the above-mentioned purpose, the present application also proposes an air conditioning control device, the air conditioning control device comprising: An environmental sensor, wherein the environmental sensor includes an inner area sensor and an outer area sensor, wherein the inner sensor is used to collect environmental information within the area to be adjusted, and the outer sensor is used to collect environmental information outside the area to be adjusted; An actuator, the actuator being loaded with a control model and used to change environmental information through a natural medium, the natural medium comprising air; An energy efficiency control cabinet, the energy efficiency control cabinet is connected to the environmental sensor to receive the environmental information collected by the environmental sensor, and is connected to the actuator to control the actuator to adjust the area to be adjusted to meet the corresponding environmental conditions according to the received environmental information, wherein the energy efficiency control cabinet is configured with a host computer program and control logic, and when the control logic is implemented, the steps of the constant temperature and humidity air-conditioning system energy-saving control method as described above are executed.

[0016] One or more technical solutions proposed in this application have at least the following technical effects: By dynamically acquiring the first environmental information collected by environmental sensors and determining multiple control strategies based on this information and the set environmental conditions, the air-conditioning system can achieve precise control of the temperature, humidity and other environmental parameters of the regulated area. Through the coordinated work of multiple control strategies and actuators, the air-conditioning system can minimize unnecessary energy consumption while meeting environmental conditions, thereby greatly improving the adaptability and flexibility of the air-conditioning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flowchart of an energy-saving control method for a constant temperature and humidity air-conditioning system in one embodiment of the present application; Figure 2 It is a schematic diagram of the layout of an air conditioning control device in one embodiment of the present application. DETAILED DESCRIPTION

[0018] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0019] In order to better understand the technical solution of this application, Figure 1 And specific implementation methods are described in detail.

[0020] Embodiment 1: In order to improve the adaptive adjustment capability of the existing air-conditioning system and the demand for energy-saving control, the present application proposes an energy-saving control method for a constant temperature and humidity air-conditioning system, which specifically includes the following steps: Step S10, dynamically acquiring first environmental information collected by an environmental sensor of the area to be adjusted, wherein the environmental sensor includes an inner area sensor and an outer area sensor; Step S20, determining the multivariate control strategy required for the area to be adjusted and the actuator corresponding to the multivariate control strategy based on the first environmental information and the environmental conditions corresponding to the area to be adjusted; Step S30, controlling the actuator to perform a regulating action according to the multivariate control strategy, and dynamically monitoring the second environmental information fed back by the inner area sensor; Step S40: Based on the second environmental information, adjust the adjustment action so that the area to be adjusted meets the environmental condition.

[0021] That is, by dynamically acquiring the environmental information inside and outside the area to be adjusted, the adjustment action of the air-conditioning system is always adapted to the environment of the area to be adjusted, while also utilizing the environment outside the area to be adjusted, reducing the energy consumption of the air-conditioning system. Then, the area to be adjusted is initially adjusted, and then dynamic feedback adjustment is performed based on the feedback during the adjustment process, rather than adjusting according to a fixed operating mode. This is more flexible and greatly maximizes the energy utilization rate of the air-conditioning system, so that every bit of energy consumed by the air-conditioning system is used in the right place and not wasted.

[0022] Each step of the constant temperature and humidity air conditioning system energy-saving control method of the present application will be described in detail below: Step S10: dynamically acquiring first environmental information collected by an environmental sensor of the area to be adjusted, wherein the environmental sensor includes an inner area sensor and an outer area sensor.

[0023] It should be noted that the air conditioning system is equipped with a variety of environmental sensors, including but not limited to temperature sensors, humidity sensors and differential pressure sensors. These sensors are divided into two categories: internal area sensors (installed in the area to be regulated) and external area sensors (installed outside the area to be regulated). The area to be regulated is a closed or semi-enclosed space, such as a laboratory, a data center, a clean room, etc. It is understandable that laboratories have strict requirements on environmental temperature and humidity, and different types of experiments may require specific temperature and humidity conditions. For example, chemical laboratories require temperature control at 20℃-25℃ and humidity at 40%-60% to ensure the accuracy of experimental results and the normal operation of instruments and equipment; the operation of servers and other equipment in data centers will generate a lot of heat, and a constant temperature and humidity environment is required to ensure stable operation of the equipment and extend equipment life. Usually the temperature is required to be 20℃-24℃ and the relative humidity is 40%-55%; and places such as electronic chip manufacturing and pharmaceutical production that have extremely high requirements for air cleanliness, in addition to strict temperature and humidity control, it is also necessary to control the number of particles and microbial content in the air. For example, the temperature of the chip manufacturing clean room is controlled at 22℃±1℃, the humidity is 45%±5%, and the cleanliness reaches the corresponding level in the ISO14644-1 standard. For the convenience of expression, the area to be adjusted will use indoor aliases in subsequent expressions, while the area outside the area to be adjusted will use outdoor aliases.

[0024] When the air conditioning system is started, all environmental sensors begin to collect environmental parameters in real time. For example, the inner zone sensor collects indoor temperature parameters, humidity parameters, and pressure difference parameters, where the pressure difference parameter is the difference in air pressure; the outer zone sensor collects outdoor temperature parameters, humidity parameters, and other data, which can be collectively referred to as the first environmental information to distinguish it from the second environmental information that appears later.

[0025] It is understandable that the collected first environmental information will be transmitted to the energy efficiency control cabinet by wireless or wired means for subsequent processing and analysis. The energy efficiency smart cabinet, as the control center of the entire air-conditioning system, receives the data collected by the environmental sensor and sends control instructions to the actuator. It contains components such as a microprocessor and a storage unit, which can process and analyze the data and make reasonable control decisions.

[0026] Further, in another embodiment, step S10 includes: Step S11, identifying the environment type of the area to be adjusted, and selectively and dynamically acquiring target parameters corresponding to the environment type from the environmental parameters collected by the environmental sensor of the area to be adjusted, wherein the target parameters include temperature parameters, humidity parameters and pressure difference parameters.

[0027] In another embodiment, the air conditioning system first identifies the type of indoor environment, for example, whether it is an ordinary residence, an office, a laboratory, or other different types of environments. Different types of environments have different requirements for temperature, humidity, and air pressure. According to the identified type of environment, the air conditioning system selectively obtains environmental parameters related to the type of environment. For example, in an office environment, temperature and humidity may be more concerned; in a laboratory environment, factors such as air cleanliness and pressure difference may also need to be considered. Through the internal area sensor and the external area sensor, the selected target parameters are collected in real time to ensure the accuracy and timeliness of the data.

[0028] Step S12: Calculate the enthalpy parameter corresponding to the area to be adjusted based on the target parameter, and use the enthalpy parameter as the first environmental information.

[0029] It should be noted that the enthalpy parameter is an important parameter that describes the energy state in the air, which integrates the influence of temperature, humidity and pressure. The air system uses the enthalpy formula to calculate the indoor enthalpy parameter based on the collected temperature parameters, humidity parameters and pressure difference parameters. The specific formula is as follows:

[0030] Where h is the enthalpy parameter, is the specific heat capacity, T is the temperature parameter, H is the humidity parameter, and p is the air density.

[0031] The calculated enthalpy parameter is used as the first environmental information and transmitted to the energy efficiency control cabinet for subsequent analysis and decision-making, making the subsequent analysis and decision-making more accurate.

[0032] Step S20: determining the multivariate control strategy required for the area to be adjusted and the actuator corresponding to the multivariate control strategy based on the first environmental information and the environmental conditions corresponding to the area to be adjusted.

[0033] In this application, the user can set the required environmental conditions through the air-conditioning system, such as a target temperature of 24°C and a humidity of 50%, and store them in the energy efficiency control cabinet. After receiving the first environmental information, the energy efficiency control cabinet compares the set environmental conditions and calculates the gap between the current environment and the target environment. For example, if the indoor temperature is higher than the set value, the air-conditioning system will determine that the temperature needs to be lowered. Then, based on the gap, select an appropriate multivariate control strategy. Multivariate control strategies may include but are not limited to air valve opening adjustment, fan frequency control, cold water valve opening adjustment, and hot water valve opening adjustment. For each control strategy, determine the corresponding actuator. For example, if the temperature needs to be lowered, select the fresh air valve and fan as actuators; if the humidity needs to be increased, select a humidifier, etc.

[0034] Step S30, controlling the actuator to perform a regulating action according to the multi-element control strategy, and dynamically monitoring the second environmental information fed back by the inner area sensor.

[0035] In this application, the energy efficiency control cabinet sends instructions to the actuator according to the selected multivariate control strategy. For example, the fresh air valve may increase its opening, and the fan may increase its frequency to introduce more fresh air and accelerate air circulation. While performing the adjustment action, the internal area sensor continuously collects new environmental parameters, that is, the second environmental information, and feeds the data back to the energy efficiency control cabinet in real time. This enables the system to understand the adjustment effect in real time.

[0036] Step S40: Based on the second environmental information, adjust the adjustment action so that the area to be adjusted meets the environmental condition.

[0037] After receiving the second environment information, the energy efficiency control cabinet analyzes the gap between the current indoor environment and the target environment again. If the gap still exists, further adjust the adjustment action; if the gap has been eliminated, keep the current state.

[0038] In the process of adjustment, different adjustment logics are used according to different environmental types and the size of the gap. For example, for areas with large temperature differences, rapid adjustment in the coarse control area may be used; for areas with small temperature differences, fine adjustment in the stable area may be used.

[0039] Through continuous feedback and adjustment, we ensure that the indoor environment conditions eventually meet the set conditions and provide a comfortable indoor environment. It should be noted that the setting of environmental conditions can be determined according to the type of work in the room, that is, the purpose of the room, such as the chemical laboratory and data center mentioned above. Different indoor uses have different set environmental conditions. At the same time, it is understandable that different environmental conditions require different environmental parameters. Some environmental conditions may require constant temperature and humidity, and some require fixed PM2.5.

[0040] To facilitate understanding, let’s take a scenario as an example: Assume that the user turns on the air conditioning system in summer. At this time, the inner zone sensor detects that the indoor temperature is 28℃ and the humidity is 60%, while the outer zone sensor detects that the outdoor temperature is 35℃ and the humidity is 70%. These data are transmitted to the energy efficiency control cabinet in real time as the basis for subsequent control. After analysis of the air conditioning system, it is found that the indoor temperature is too high and needs to be cooled down. Since the outdoor temperature is higher than the indoor temperature, simply increasing the opening of the fresh air valve to introduce high-temperature and high-humidity outdoor air is not conducive to indoor cooling and dehumidification. Therefore, at this time, the cold water valve opening adjustment and fan frequency control are selected as the multi-control strategy, and the cold water valve and fan are determined as actuators. The fan frequency increase speeds up the indoor air circulation and promotes the faster dissipation of indoor heat; at the same time, according to the indoor return air temperature and supply air humidity content, as well as the temperature set value and supply air humidity content set value corresponding to the environmental conditions, the PID algorithm is used to determine the cold water valve opening, and the refrigerant flow is increased by adjusting the cold water valve to enhance the cooling effect. At the same time, the inner zone sensor continuously monitors the changes in indoor temperature and humidity, and feeds the latest data back to the energy efficiency control cabinet. As the cold water valve and fan are adjusted, the indoor temperature gradually decreases and the humidity tends to stabilize. When the indoor temperature drops to 24°C and the humidity stabilizes at 50%, the air conditioning system determines that the set conditions have been met, stops further adjustment, and maintains the current state.

[0041] It can be seen from the above embodiments that the present application dynamically obtains the first environmental information collected by the environmental sensor and determines the multi-control strategy based on this information and the set environmental conditions. The air-conditioning system can achieve precise control of indoor temperature, humidity and other environmental parameters. Through the coordinated work of the multi-control strategy and the actuator, the air-conditioning system can minimize unnecessary energy consumption while meeting the environmental conditions, thereby greatly improving the adaptability and flexibility of the air-conditioning system.

[0042] Embodiment 2: Based on the above embodiment, in order to improve precise control and achieve energy saving, another embodiment of the present application focuses on that the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: Step S411, based on the second environmental information, analyzing the environmental gap between the area to be adjusted and the environmental condition; After receiving the second environmental information fed back by the internal zone sensor, the air conditioning system first compares the difference between the current environmental parameters (temperature, humidity, etc.) and the set environmental conditions. For example, if the set temperature is 24°C and the current temperature is 26°C, there is a 2°C temperature difference. Based on the size and type of the difference, the air conditioning system evaluates whether the current environment is close to the set conditions. If the difference is large, a quick response is required; if the difference is small, more precise adjustments can be used.

[0043] Step S412, identifying the environment type of the area to be adjusted, and dynamically dividing the area to be adjusted into a coarse control area and a stable area based on the environment type and the environment gap; At this time, the air conditioning system will confirm the type of indoor environment, such as office space, laboratory or residence. The adjustment strategies for different types of environments are different. According to the type of environment and the gap between the environments, the system dynamically divides the area to be adjusted into a coarse control area and a stable area. The coarse control area is responsible for preliminary adjustment and rapid response, while the stable area is responsible for fine control and maintaining environmental stability. The coarse control area usually allows a larger temperature and humidity fluctuation range and is suitable for rapid adjustment. It is mainly to reduce the system's sensitivity to initial environmental changes without affecting the overall control effect, thereby reducing energy consumption; the stable area requires that the temperature and humidity remain within a very small fluctuation range to ensure comfort and stability. This fine control method can ensure that the indoor environment is always kept in the best state, thereby meeting the requirements of production processes and personnel comfort. At the same time, due to the high control accuracy in the stable area, it can also effectively reduce the occurrence of phenomena such as cold and hot offset and dehumidification and humidification offset, further reducing energy consumption.

[0044] Step S413: adjusting the adjustment action based on the adjustment logics set in the coarse control area and the stable area respectively, so that the area to be adjusted meets the environmental condition.

[0045] For the coarse control area, the air conditioning system adopts a quick response strategy, such as increasing the fan frequency, increasing the fresh air valve opening, etc., to quickly adjust the environmental parameters to close to the set value. For the stable area, the air conditioning system adopts a fine adjustment strategy, such as fine-tuning the cold water valve opening, optimizing the air supply temperature, etc., to ensure that the environmental parameters remain within the set range. Through continuous monitoring and feedback mechanisms, the air conditioning system can flexibly switch between the coarse control area and the stable area to ensure that the indoor conditions eventually reach the set conditions.

[0046] To facilitate understanding, let’s take a scenario as an example: Assume that the air conditioning system detects that the indoor temperature is 26°C and the humidity is 55%, while the set conditions are 24°C and 50%. At this time, the system calculates that the temperature difference is 2°C and the humidity difference is 5%. If the air conditioning system recognizes that this is an office environment and the temperature difference is large (2°C), part of the area will be divided into a coarse control area to quickly reduce the temperature; at the same time, another part of the area will be divided into a stable area to ensure that the area close to the set conditions remains stable. Specifically in the coarse control area, the air conditioning system increases the fan frequency to reduce the temperature from 26°C to 25°C. At the same time, in the stable area, the air conditioning system fine-tunes the cold water valve opening to further optimize the supply air temperature, so that the temperature gradually drops to 24°C and the humidity stabilizes at 50%.

[0047] It can be seen from the above embodiments that the present application dynamically divides the area to be adjusted into a coarse control area and a stable area, and adopts different adjustment logics for different areas. The air-conditioning system can achieve an organic combination of rapid response and fine control, and the zoning control strategy enables the air-conditioning system to apply the most suitable adjustment method in different areas, thereby significantly improving the overall control accuracy. At the same time, through reasonable zoning control and optimized adjustment strategies, the air-conditioning system can minimize unnecessary energy consumption while meeting environmental conditions.

[0048] Embodiment 3, based on the above embodiment, in order to further improve the precision control and achieve the purpose of energy saving, another embodiment of the present application focuses on that the multivariate control strategy at least includes an air valve opening adjustment strategy, the actuator includes a fresh air valve, the adjustment action includes the opening adjustment of the fresh air valve, and the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: Step S421, calculating the return air enthalpy value and the fresh air enthalpy value based on the second environmental information; Step S422, obtaining the fresh air temperature of the second environmental information, and determining the regional relationship between the fresh air temperature and a preset temperature range based on the environmental conditions; Step S423, based on the regional relationship and the magnitude relationship between the return air enthalpy value and the fresh air enthalpy value, determine the first opening of the fresh air valve as a basis for adjusting the opening of the fresh air valve so that the area to be adjusted meets the environmental conditions.

[0049] Another embodiment of the present application describes the air valve opening adjustment strategy as one of the multi-control strategies, mainly by dynamically adjusting the opening of the fresh air valve to control the amount of fresh air introduced to achieve the adjustment of indoor environmental parameters.

[0050] In the current embodiment, the air conditioning system receives the second environmental information fed back by the inner zone sensor, including parameters such as return air temperature and humidity, and then uses the enthalpy formula to calculate the return air enthalpy (indoor air) and the fresh air enthalpy (outdoor air).

[0051] The air conditioning system will define a reasonable temperature range (e.g. 16°C to 25°C) based on the set environmental conditions, and set the upper and lower limits of the interface opening to 50%-100% by default. Then the fresh air temperature is obtained, and the relationship between the fresh air temperature and the preset temperature range is compared to determine whether the fresh air is suitable for introduction. If the fresh air temperature is within the range, it is suitable for introduction; if it is out of the range, further evaluation is required.

[0052] Specifically, compare the return air enthalpy value and the fresh air enthalpy value to evaluate the impact of introducing fresh air on the indoor environment. Adjust the opening according to the specific enthalpy comparison rules, such as: When 25℃>fresh air temperature ≥16℃, if fresh air enthalpy value < return air enthalpy value −3, the fresh air valve is fully opened (100% opening).

[0053] When the fresh air temperature is ≥25℃, the fresh air valve is fully closed (0% opening).

[0054] In other cases, the fresh air valve opening is adjusted dynamically according to actual needs and environmental conditions, usually between 50%-100%.

[0055] Finally, the first opening of the fresh air valve is determined, and the opening is adjusted accordingly to ensure the introduction of an appropriate amount of fresh air to achieve the set environmental conditions.

[0056] To facilitate understanding, let’s take a scenario as an example: Assume that the air conditioning system detects that the indoor temperature is too high and needs to introduce more low-temperature fresh air for cooling. At this time, the air conditioning system selects the air valve opening adjustment strategy, determines the fresh air valve as the actuator, and prepares to adjust the opening. If the air conditioning system detects that the indoor return air temperature is 26℃ and the humidity is 60%, the return air enthalpy is calculated to be 50kJ / kg; the outdoor fresh air temperature is 20℃ and the humidity is 70%, and the fresh air enthalpy is calculated to be 45kJ / kg. Assuming that the set temperature range is 16℃ to 25℃, the detected fresh air temperature is 20℃, which is within the preset range, so it is considered that fresh air is suitable for introduction. Since the fresh air temperature is 20℃ (within the range of 16℃ to 25℃), and the fresh air enthalpy (45kJ / kg) is lower than the return air enthalpy (50kJ / kg) minus 3kJ / kg, that is, 47kJ / kg, the air conditioning system decides to fully open the fresh air valve (100%) to introduce more low-temperature fresh air and quickly reduce the indoor temperature.

[0057] It can be seen from the above embodiments that the present application calculates the return air enthalpy value and the fresh air enthalpy value, and dynamically adjusts the fresh air valve opening according to specific enthalpy value comparison rules. The air-conditioning system can achieve precise control of the amount of fresh air introduced. At the same time, by precisely controlling the opening of the fresh air valve, the air-conditioning system can minimize unnecessary energy consumption while meeting environmental conditions.

[0058] Embodiment 4: Based on the above embodiment, in order to further improve the precision control and achieve the purpose of energy saving, another embodiment of the present application focuses on that the multivariate control strategy at least includes a fan frequency control strategy, the actuator includes a fan, the adjustment action includes the frequency adjustment of the fan, and the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: Step S431, based on the second environmental information, obtaining indoor and outdoor pressure difference data, and obtaining a frequency adjustment interval corresponding to the fan maintaining a suitable indoor pressure gradient under the environmental conditions; In this embodiment, the air conditioning system obtains the pressure difference data between indoor and outdoor through the pressure difference sensors installed indoors and outdoors. Since the room using the constant temperature and humidity air conditioning system generally needs to maintain a certain positive pressure, this pressure difference data is crucial to maintaining a stable pressure environment indoors. At the same time, according to the set environmental conditions, the air conditioning system predefines a reasonable fan frequency adjustment range (for example, 30Hz to 50Hz), which is set to maintain the indoor pressure gradient within an appropriate range.

[0059] Step S432, based on the pressure difference and the frequency adjustment interval, a PID algorithm is used to determine the frequency of the fan as a basis for adjusting the frequency of the fan, so that the area to be adjusted meets the environmental conditions.

[0060] Specifically, the air conditioning system uses the PID algorithm (proportional-integral-differential control algorithm) to combine the obtained indoor and outdoor pressure difference and the set frequency adjustment range to accurately calculate the optimal frequency of the fan. Among them, the proportional control (P) directly adjusts the fan frequency according to the difference between the current indoor and outdoor pressure difference and the target pressure difference; the integral control (I) accumulates the historical pressure difference error and gradually eliminates the steady-state error to ensure that the indoor pressure is stable in the appropriate range for a long time; the differential control (D) predicts the future pressure difference change trend and adjusts the fan frequency in advance to avoid adverse effects on the indoor environment due to excessive pressure fluctuations. Finally, the optimal frequency of the fan is determined, and the frequency is adjusted accordingly to ensure that the appropriate pressure gradient is maintained indoors to achieve the set environmental conditions. That is, through continuous monitoring and feedback mechanisms, the air conditioning system can flexibly adjust the fan frequency under different working conditions to ensure that the indoor environment is always in the best state, while meeting the indoor positive pressure requirements and preventing external pollutants from entering the room.

[0061] To facilitate understanding, let’s take a scenario as an example: Assume that the air conditioning system detects that the indoor pressure is slightly lower than the outdoor pressure, and the current indoor and outdoor pressure difference is -5Pa (assuming the target pressure difference is between 0 and 5Pa), and the indoor pressure needs to be increased. At this time, the air conditioning system selects the fan frequency control strategy, determines the fan as the actuator, and prepares to adjust the frequency. According to the set conditions, the air conditioning system determines that the fan frequency adjustment range is 30Hz to 50Hz. Through PID algorithm calculation, the air conditioning system decides to adjust the fan frequency from the current 40Hz to 45Hz to increase the air supply and increase the indoor pressure. At the same time, the air conditioning system continuously monitors the indoor and outdoor pressure difference to ensure that the adjustment effect meets expectations. When the indoor and outdoor pressure difference reaches 3Pa, the fan frequency remains stable to maintain the indoor pressure within an appropriate range.

[0062] From the above embodiments, it can be seen that by obtaining the indoor and outdoor pressure difference and adjusting the fan frequency in combination with the PID algorithm, the air conditioning system can achieve accurate control of the indoor pressure, thereby maintaining a suitable indoor pressure gradient. At the same time, through reasonable fan frequency adjustment, the air conditioning system can minimize unnecessary energy consumption while meeting environmental conditions.

[0063] Embodiment 5, based on the above embodiment, in order to further improve the precision control and achieve the purpose of energy saving, another embodiment of the present application focuses on that the multi-control strategy includes a cold water valve opening adjustment strategy, the actuator includes a cold water valve, the adjustment action includes the opening adjustment of the cold water valve, and the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental conditions includes: Step S441, based on the return air temperature and supply air humidity content in the second environmental information, and the temperature setting value and supply air humidity setting value corresponding to the environmental conditions, use the PID algorithm to determine the second opening of the cold water valve as the basis for adjusting the opening of the cold water valve, so that the area to be adjusted meets the environmental conditions, wherein the supply air humidity setting value is dynamically determined based on the upper limit value of the supply air humidity setting value, the lower limit value of the supply air humidity setting value, the supply air humidity, the upper limit value of the supply air humidity and the lower limit value of the supply air humidity.

[0064] Another embodiment of the present application describes a cold water valve opening adjustment strategy as one of the multiple control strategies, mainly by dynamically adjusting the opening of the cold water valve to control the refrigerant flow rate to achieve regulation of indoor environmental parameters.

[0065] In the current embodiment, the air conditioning system receives the second environmental information fed back by the internal area sensor, including parameters such as return air temperature and supply air humidity content, and then obtains the temperature setting value and the supply air humidity content setting value according to the set environmental conditions, and uses the PID algorithm to combine the return air temperature, supply air humidity content, temperature setting value and supply air humidity content setting value to accurately calculate the optimal opening of the cold water valve, wherein the proportional control (P) directly adjusts the valve opening according to the gap between the current parameter and the target value; the integral control (I) accumulates historical errors and gradually eliminates steady-state errors; the differential control (D) predicts future change trends, adjusts the valve opening in advance, and avoids overshoot. Finally, the optimal opening of the cold water valve is determined, and the opening is adjusted accordingly to ensure the introduction of an appropriate amount of refrigerant to achieve the set environmental conditions.

[0066] It needs to be explained that the supply air humidity setting value is determined dynamically. The supply air humidity setting value is adjusted dynamically according to the set supply air humidity setting value and its upper and lower limits (for example, 5g / kg to 7g / kg). The supply air humidity setting value is adjusted in real time according to the gap between the actual supply air humidity content and the set value to ensure that it fluctuates within a reasonable range.

[0067] Specifically, when the return air temperature is lower than the set temperature, the air conditioning system enters the humidity priority adjustment mode, and the supply air humidity content set value is determined as follows:

[0068] in, is the temperature setting value, It is the upper limit of the automatic setting value of the humidity content of the supply air. It is the lower limit of the automatic setting value of the humidity content of the supply air. is the humidity monitoring value, is the upper humidity limit, It is the lower limit of humidity.

[0069] Furthermore, after step S441, the method further includes: Step S442, based on the return air temperature in the second environmental information and the temperature setting value corresponding to the environmental condition, a PID algorithm is used to determine a third opening degree of the cold water valve; Step S443: outputting the opening required corresponding to the environmental condition from the second opening and the third opening as a basis for adjusting the opening of the cold water valve.

[0070] When the return air temperature is not lower than the set temperature, the air conditioning system uses the PID algorithm to combine the return air temperature and the temperature setting value to accurately calculate the third opening of the cold water valve, and then compares the second opening (for example, 60%) with the third opening (for example, 70%) to select a relatively larger opening or a smaller opening as the final basis for adjusting the cold water valve opening to ensure that the environmental conditions can be met more effectively. The selection basis is determined by the environmental conditions, such as making the final adjustment of the cold water valve according to the selected larger opening to ensure that the indoor environmental parameters quickly and stably reach the set conditions.

[0071] To facilitate understanding, let’s take a scenario as an example: Assume that the air conditioning system detects that the indoor temperature is too high and needs to be lowered. At this time, the air conditioning system selects the cold water valve opening adjustment strategy, determines the cold water valve as the actuator, and prepares to adjust the opening. If the indoor return air temperature is detected to be 26°C, the supply air humidity content is 8g / kg, and the set temperature is 24°C, the supply air humidity content setting value is 6g / kg. According to the PID algorithm calculation, the air conditioning system decides to adjust the cold water valve opening from the current 50% to 60% to increase the refrigerant flow, quickly reduce the indoor temperature and adjust the humidity. Assume that the supply air humidity content setting value is 6g / kg, and the upper and lower limits are 5g / kg and 7g / kg respectively. When the actual supply air humidity content is close to the upper limit, the air conditioning system appropriately reduces the supply air humidity content setting value, otherwise it appropriately increases it.

[0072] When the return air temperature is lower than the set temperature, assuming the return air temperature is 23°C, the set temperature is 24°C, the supply air humidity monitoring value is 7g / kg, and the supply air humidity setting value is 6g / kg. According to the PID algorithm, the air conditioning system decides to adjust the cold water valve opening to 60% to adjust the humidity and keep the temperature stable.

[0073] When the return air temperature is equal to or higher than the set temperature, assuming the return air temperature is 25°C, the set temperature is 24°C, the temperature monitoring value is 25°C, and the temperature setting value is 25°C. According to the PID algorithm calculation, the air conditioning system decides to adjust the cold water valve opening to 70%. At the same time, the opening in the humidity priority adjustment mode is 60%, so 70% is finally selected as the cold water valve opening.

[0074] It can be seen from the above embodiments that the present application uses a PID adjustment strategy based on return air temperature and supply air moisture content, so that the system can achieve precise control of indoor humidity and temperature. At the same time, through reasonable adjustment of the cold water valve opening, the air-conditioning system can minimize unnecessary energy consumption while meeting environmental conditions.

[0075] Embodiment 6. On the basis of the above embodiments, in order to further improve the precision control and achieve the purpose of energy saving, another embodiment of the present application focuses on that the multivariate control strategy includes a hot water valve opening adjustment strategy, the actuator includes a hot water valve, the adjustment action includes the opening adjustment of the hot water valve, and the step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: Step S451, based on the return air temperature in the second environmental information and the temperature setting value corresponding to the environmental condition, a PID algorithm is used to determine the fourth opening of the hot water valve as a basis for adjusting the opening of the hot water valve, so that the area to be adjusted meets the environmental condition; Wherein, if the fourth opening value reaches the preset opening value, the working time of the hot water valve is monitored; If the working time reaches the preset working time, the fourth opening degree is dynamically reduced according to the first preset interval time and the first preset value corresponding to the environmental condition.

[0076] Another embodiment of the present application describes a hot water valve opening adjustment strategy as one of the multi-control strategies, which mainly controls the hot water flow by dynamically adjusting the opening of the hot water valve to achieve the adjustment of indoor environmental parameters.

[0077] In the current embodiment, the air-conditioning system receives the second environmental information fed back by the internal area sensor, focuses on the return air temperature, and then obtains the temperature setting value according to the set environmental conditions. The PID algorithm is used to combine the return air temperature and the temperature setting value to accurately calculate the optimal opening of the hot water valve (the fourth opening). Finally, the fourth opening of the hot water valve is determined, and preliminary opening adjustment is performed accordingly to ensure the introduction of an appropriate amount of hot water to quickly increase the indoor temperature and maintain it near the set value.

[0078] The hot water valve opening control is mainly adjusted according to the relationship between the return air temperature and the set value. It is divided into two scenarios, and there is also a hot water priority logic and a strategy for lowering the indoor temperature set value. The purpose is to achieve energy saving and stable system operation while meeting indoor temperature requirements.

[0079] Scenario 1: When the return air temperature is less than the temperature setting value -1, the hot water valve opening is PID-adjusted according to the return air temperature and the temperature setting value -1. At this time, the air conditioning system will use the difference between the return air temperature and the temperature setting value -1 as input, and calculate the opening increment of the hot water valve that needs to be adjusted through the PID algorithm. For example, if the return air temperature is much lower than the temperature setting value -1, the PID algorithm may calculate a larger opening increment, increasing the opening of the hot water valve to allow more hot water to enter the air conditioning system to quickly increase the indoor temperature; conversely, if the difference is small, the opening increment will also be correspondingly smaller, achieving more precise temperature regulation; Scenario 2: When the return air temperature is less than the temperature setting value, the hot water valve opening is PID-adjusted according to the return air temperature and the temperature setting value. The PID algorithm is also used to adjust the hot water valve opening according to the difference between the return air temperature and the temperature setting value. However, since the temperature in this scenario is closer to the setting value, the adjustment range is smaller than that in scenario 1, and more emphasis is placed on precise control to avoid temperature overshoot. For example, when the return air temperature is only slightly lower than the temperature setting value, the opening increment calculated by the PID algorithm will be smaller, causing the hot water supply to increase slowly and the indoor temperature to rise steadily to the setting value.

[0080] It should be noted that when the fourth opening of the hot water valve reaches the preset opening value (for example, 90%), the system starts to monitor the working time of the hot water valve and records the time the hot water valve remains at the preset opening value to ensure that the subsequent processing logic can respond in time. When the working time of the hot water valve reaches the preset working time (for example, 30 minutes), the air conditioning system enters the protection mode to avoid energy waste. According to the first preset interval time (for example, 5 minutes) and the first preset value (for example, 5% each time) corresponding to the environmental conditions, the fourth opening of the hot water valve is dynamically reduced. In the process of reducing the opening, the system continuously monitors the indoor temperature to ensure that the environmental conditions are always met.

[0081] Furthermore, after step S451, the method further includes: The number of hot water valves reaching a preset opening value is counted, and if the number is reduced to a preset number corresponding to the environmental condition, the fourth opening is dynamically increased according to a second preset interval time and a second preset value corresponding to the environmental condition.

[0082] That is, the air-conditioning system continuously monitors the opening status of all hot water valves, and records the number of hot water valves that reach the preset opening value (for example, 90%). When the number of hot water valves that reach the preset opening value decreases to the preset number corresponding to the environmental conditions (for example, 1), the air-conditioning system enters the recovery mode and dynamically increases the fourth opening of the hot water valve according to the second preset interval time (for example, 10 minutes) and the second preset value (for example, increase by 5% each time) corresponding to the environmental conditions. During the process of increasing the opening, the system continuously monitors the indoor temperature to ensure that the environmental conditions are always met.

[0083] To facilitate understanding, let’s take a scenario as an example: When there are several air cabinets (assuming 4) in the indoor area, under the hot water priority logic, considering that some projects may have insufficient reheating hot water, in order to give priority to the reheating heat in key areas, there are the following different situations: Case 1: All 4 air cabinets are fully open: When all 4 air cabinets that serve the indoor area are opened, and the opening of all hot water valves is maintained at 95% for 20 minutes, it indicates that the current air conditioning system may have insufficient hot water supply but the indoor temperature has not yet reached the ideal state. It may also be that the heat load is large or the hot water utilization efficiency is not high. At this time, the air conditioning system will reduce the opening of all air cabinet hot water valves by 10% (to a minimum of 20%) based on the existing upper limit every 6 minutes. This is to reasonably allocate hot water resources when the amount of hot water is limited, and give priority to guaranteeing the reheating demand of key areas. For example, if the upper limit value of a hot water valve of a certain air cabinet is 100%, then its opening will be adjusted to 90% after 6 minutes, and adjusted to 80% after another 6 minutes, and so on, until it is reduced to a minimum of 20%. This adjustment method can prevent excessive dispersion of hot water supply, and avoid drastic fluctuations in indoor temperature caused by a sudden and substantial reduction in hot water supply, thereby maintaining the stability of the system to a certain extent; Case 2: Open 3 or 2 air cabinets: When 3 or 2 air cabinets are opened and the hot water valve is kept at the maximum opening, the upper limit of the valve opening remains unchanged. At this time, the air conditioning system reduces the total hot water supply while concentrating more hot water resources on the opened air cabinets to ensure the reheating of key areas. The system will continue to observe the changes in indoor temperature and decide the next operation based on the temperature conditions; Case 3: Opening 1 fume hood: When only 1 fume hood is opened and the maximum opening is maintained, the upper limit of the fume hood valve will increase by 10% every 6 minutes based on the current value (the upper limit is up to the upper limit of the panel hot water valve and will not be adjusted). This is because when only one fume hood is in operation, the area that this fume hood is responsible for is regarded as a key protection area. By gradually increasing the valve opening to meet the reheating demand of the area, the best hot water supply balance point is found to meet the indoor temperature demand and achieve energy saving and system stability with limited hot water. For example, if the current opening of a fume hood hot water valve is 50%, it will be adjusted to 60% after 6 minutes, and 70% after another 6 minutes, until the upper limit of the panel hot water valve is reached or the indoor temperature reaches the ideal state.

[0084] Through the above-mentioned different open air cabinet numbers and corresponding valve opening adjustment strategies, when the air-conditioning system is short of hot water, it will give priority to ensuring the reheating of key areas, reasonably allocate hot water resources, and achieve energy saving and optimized operation of the system.

[0085] In addition, in another embodiment, a strategy for lowering the indoor temperature setting value is also set. Specifically, when the fresh air temperature is less than 15°C, the air conditioning system will delay the response for a period of time, such as 20 minutes. This is to avoid frequent adjustment of the temperature setting value due to short-term fluctuations in the fresh air temperature and ensure the stability and reliability of the temperature adjustment. After a delay of 20 minutes, all temperature setting values ​​are reduced by 2°C. For example, if the original indoor temperature setting value is 22°C, it will become 20°C after adjustment. The purpose of this is to take advantage of the outdoor low temperature environment and appropriately reduce the indoor temperature setting value at the right time to reduce the cooling energy consumption. Because when the fresh air temperature is low, appropriately reducing the indoor temperature setting value can allow outdoor cold air to participate more in indoor temperature regulation, reduce the operating time of the air conditioning system refrigeration equipment, and thus achieve energy saving. When the fresh air temperature is ≥15°C, the system returns to the normal temperature setting value. This is because when the outdoor temperature rises, continuing to use a lower temperature setting value may cause the room to be too cold, affecting the comfort of personnel, and may also increase the heating energy consumption, so it is necessary to restore to the normal temperature setting value to ensure the comfort of the indoor environment and continue to adjust the temperature according to the actual situation.

[0086] It can be seen from the above embodiments that the present application uses a PID adjustment strategy based on the return air temperature and the temperature setting value, so that the air-conditioning system can achieve precise control of the indoor temperature. At the same time, through reasonable adjustment of the hot water valve opening, the air-conditioning system can minimize unnecessary energy consumption while meeting environmental conditions. When the hot water valve opening reaches the preset maximum opening and the working time exceeds the preset time, the air-conditioning system will dynamically reduce the hot water valve opening to prevent the equipment from running at high load for a long time, and gradually restore the opening when the number is reduced to the preset number.

[0087] The present application also provides an air conditioning control device. The air conditioning control device comprises: An environmental sensor, wherein the environmental sensor includes an inner area sensor and an outer area sensor, wherein the inner sensor is used to collect environmental information within the area to be adjusted, and the outer sensor is used to collect environmental information outside the area to be adjusted; An actuator, the actuator being loaded with a control model and used to change environmental information through a natural medium, the natural medium comprising air; An energy efficiency control cabinet, the energy efficiency control cabinet is connected to the environmental sensor, used to receive the environmental information collected by the environmental sensor, and is connected to the actuator, used to control the actuator to adjust the area to be adjusted to meet the corresponding environmental conditions according to the received environmental information, wherein the energy efficiency control cabinet is configured with a host computer program and control logic, and when the control logic is implemented, it executes the embodiment steps of the energy-saving control method of the constant temperature and humidity air-conditioning system as described above.

[0088] It needs to be briefly explained that the air conditioning control device of the present application (for the convenience of description, in the aforementioned embodiment, it is referred to as the air conditioning system) is composed of hardware facilities and software facilities, wherein the hardware facilities include environmental sensors, such as temperature sensors: used to collect indoor and outdoor temperature information, including return air temperature, fresh air temperature, etc. These sensors are distributed in different areas of the room (such as ceilings, walls, etc.) and near the outdoor unit to obtain accurate temperature data; humidity sensors: installed indoors and outdoors, mainly responsible for measuring the humidity of the air, providing data support for humidity control. Its location is generally close to the path of air circulation to ensure that it can accurately reflect the actual humidity situation; differential pressure sensor: usually installed in the air duct of the air conditioning system, used to monitor the pressure difference between the air supply port and the return air port, which is crucial to ensure the reasonable distribution and circulation of indoor air, etc. Hardware facilities also include actuators, such as air valve actuators: connected to the fresh air valve and the return air valve, adjusting the valve opening according to the control signal to control the ratio of fresh air and return air. For example, when the fresh air volume needs to be increased, the air valve actuator will increase the opening of the fresh air valve; water valve actuator: used to control the opening of the cold water valve and the hot water valve. When cooling or heating is required, the water valve actuator will adjust the opening and closing degree of the water valve according to the system instructions to adjust the flow of cold water or hot water; fan inverter: connected to the fan motor, and the air supply volume is adjusted by changing the frequency of the fan. For example, in energy-saving mode, the fan inverter can reduce the fan frequency, reduce the air supply volume and energy consumption, etc. Hardware facilities also include energy efficiency control cabinet: as the control center of the entire system, it receives data collected by sensors and sends control instructions to the actuator. It contains components such as microprocessors and storage units, which can process and analyze data and make reasonable control decisions. Of course, in addition to this, it also includes wind cabinets (air handling units): including fans, filters, evaporators, condensers and other components, which are the core equipment of air treatment. The fan causes the air to circulate in the system, the filter filters dust and impurities in the air, and the evaporator and condenser are used for heat exchange to achieve cooling or heating functions. I will not list them one by one here.

[0089] The software facilities include the host computer program and control logic: running in the microprocessor of the energy efficiency control cabinet, it contains various control algorithms and strategies, such as PID control algorithm for fan frequency adjustment, water valve opening adjustment, etc. It can generate control instructions according to the data collected by the sensor and the preset rules (such as energy-saving control strategy, temperature and humidity control strategy, etc.), and send them to the corresponding actuators. At the same time, the host computer program can also record the system operation data for subsequent analysis and optimization.

[0090] The sensor transmits the collected data to the energy efficiency control cabinet through a signal line (wired method, such as using a shielded cable to reduce electromagnetic interference) or a wireless communication module (such as ZigBee, Wi-Fi and other wireless communication technologies).

[0091] The energy efficiency control cabinet is connected to the actuator (air valve actuator, water valve actuator, fan inverter) through a control signal line, and the control command is sent to the actuator to drive the actuator to perform corresponding actions, such as adjusting the valve opening, fan frequency, etc.

[0092] The host computer program inside the energy efficiency control cabinet cooperates with the storage unit, microprocessor and other components. The program reads the control parameters and historical data from the storage unit, uses the computing power of the microprocessor to process data and generate control instructions, then sends the instructions to the actuator and stores the new data in the storage unit.

[0093] Any embodiment of the above-mentioned constant temperature and humidity air conditioning system energy-saving control method can be implemented by combining software and hardware, and will not be described in detail here.

[0094] For example, refer to Figure 2 The air conditioning control device can be arranged according to the diagram and divided according to the functions, which may include: Indoor environment feedback module 10: includes a temperature sensor 11 and a humidity sensor 12; has 2 AI (analog input) points, used to feed back the indoor environment status to the PLC (programmable logic controller), providing the indoor environment data basis for subsequent control and adjustment.

[0095] Outdoor environment feedback 20: also includes temperature sensor 11 and humidity sensor 12; also 2 AI points, transmit outdoor environment status information to PLC, and combine with indoor environment information to provide basis for overall control strategy of the system.

[0096] Fresh air valve opening control module 30: includes a fresh air valve; its functions include: Opening feedback: 1 AI point, real-time feedback of the fresh air valve opening to the PLC, so that the system knows the current valve opening status.

[0097] Opening control: 1 AO (analog output) point, PLC calculates the enthalpy value comparison result based on the outdoor and indoor air temperature and humidity, outputs the control signal to the air valve actuator, adjusts the opening of the fresh air valve, and realizes precise control of the amount of fresh air introduced.

[0098] The fan frequency control module 40 includes a blower; its functions include: Frequency feedback and control: 1 AI point feeds back the fan operating frequency, and 1 AO point outputs the fan operating frequency. By comparing the indoor and outdoor pressure difference with the set pressure difference, the fan frequency is adjusted to maintain a stable indoor and outdoor pressure difference.

[0099] Switch status feedback and control: 1 DI (digital input) point feedbacks the fan on / off status, and 1 AO point outputs the on / off status command, which is convenient for monitoring and controlling the start and stop of the fan.

[0100] The surface cooling section water valve opening control module 50 includes a cold water valve; its functions include: Opening feedback: 1 AI point feedbacks the opening of the cold water valve; Opening control: 1 AO point outputs the opening of the cold water valve. The humidity priority control strategy is adopted. When the return air temperature is different, the PID (proportional-integral-differential) adjustment of the moisture content or temperature is performed respectively, and the final cold water valve opening is determined according to the rules to achieve effective regulation of air temperature and humidity.

[0101] Heating section water valve opening control 60: includes a hot water valve; its functions include: Opening degree feedback: 1 AI point feedback hot water valve opening degree; Opening control: 1 AO point outputs the hot water valve opening. When the return air temperature monitoring value is less than the return air temperature setting value - 1°C, the hot water valve opening is PID-adjusted based on the monitoring value and the setting value - 1°C to increase the air temperature when needed.

[0102] Control panel 70: can be set in the fan room or clean room, through which the operator can view the fan operation status, input or adjust various control parameters, and facilitate the operation and management of the system.

[0103] Other functions (not shown).

[0104] Fan pressure difference alarm: monitor the pressure difference before and after the fan, and input a fault alarm signal to the PLC when an abnormality occurs, so as to promptly detect possible problems with the fan.

[0105] Filter pressure difference alarm: monitors the pressure difference before and after the filter. When the pressure difference reaches a certain level, it prompts that the filter needs to be replaced to ensure the air filtration effect of the system.

[0106] Electric humidification: Turn on in winter, perform PID adjustment according to the humidity monitoring value and the set value, output the humidity content of the supply air, and maintain appropriate indoor humidity.

[0107] also, Figure 2 The arrows in the diagram represent wind direction.

[0108] The above are only some embodiments of the present application, and the scope of implementation of the present application is not limited thereto. Any equivalent structure or equivalent process transformation made using the contents of the specification and drawings of this application, or directly or indirectly applied in other related technical fields, are also included in the protection scope of the present application.

Claims

1. A constant temperature and humidity air conditioning system energy saving control method, characterized in that: The constant temperature and humidity air conditioning system energy-saving control method comprises: Dynamically acquiring first environmental information collected by an environmental sensor of the area to be adjusted, wherein the environmental sensor includes an inner area sensor and an outer area sensor; Based on the first environmental information and the environmental conditions corresponding to the area to be adjusted, determining the multivariate control strategy required by the area to be adjusted and the actuator corresponding to the multivariate control strategy; Controlling the actuator to perform a regulating action according to the multivariate control strategy, and dynamically monitoring the second environmental information fed back by the inner area sensor; Based on the second environmental information, the adjustment action is adjusted so that the area to be adjusted meets the environmental condition.

2. The constant temperature and humidity air conditioning system energy saving control method according to claim 1, characterized in that: The step of dynamically acquiring the first environmental information collected by the environmental sensor of the area to be adjusted, wherein the environmental sensor includes an inner area sensor and an outer area sensor, comprises: Identify the environment type of the area to be adjusted, and selectively and dynamically obtain target parameters corresponding to the environment type from the environmental parameters collected by the environmental sensor of the area to be adjusted, wherein the target parameters include temperature parameters, humidity parameters and pressure difference parameters; Based on the target parameter, an enthalpy parameter corresponding to the area to be adjusted is calculated, and the enthalpy parameter is used as the first environmental information.

3. The constant temperature and humidity air conditioning system energy saving control method according to claim 1, characterized in that: The step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: Based on the second environmental information, analyzing the environmental gap between the area to be adjusted and the environmental condition; Identifying the environment type of the area to be adjusted, and dynamically dividing the area to be adjusted into a coarse control area and a stable area based on the environment type and the environment gap; Based on the adjustment logics set in the coarse control area and the stable area respectively, the adjustment action is adjusted so that the area to be adjusted meets the environmental conditions.

4. The constant temperature and humidity air conditioning system energy saving control method according to claim 1, characterized in that: The step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: The multivariate control strategy at least includes an air valve opening adjustment strategy, the actuator includes a fresh air valve, and the adjustment action includes adjusting the opening of the fresh air valve; Based on the second environmental information, calculating the return air enthalpy value and the fresh air enthalpy value; Acquire the fresh air temperature of the second environmental information, and determine the regional relationship between the fresh air temperature and a preset temperature range based on the environmental conditions; Based on the regional relationship and the magnitude relationship between the return air enthalpy value and the fresh air enthalpy value, the first opening of the fresh air valve is determined as a basis for adjusting the opening of the fresh air valve so that the area to be adjusted meets the environmental conditions.

5. The constant temperature and humidity air conditioning system energy saving control method according to claim 1, characterized in that: The step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: The multivariate control strategy at least includes a fan frequency control strategy, the actuator includes a fan, and the adjustment action includes frequency adjustment of the fan; Based on the second environmental information, obtain the pressure difference data between indoor and outdoor, and obtain the frequency adjustment range corresponding to the fan maintaining the appropriate indoor pressure gradient under the environmental conditions; Based on the pressure difference and the frequency adjustment range, a PID algorithm is used to determine the frequency of the fan as a basis for adjusting the frequency of the fan, so that the area to be adjusted meets the environmental conditions.

6. The constant temperature and humidity air conditioning system energy saving control method according to claim 1, characterized in that: The step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: The multivariate control strategy includes a cold water valve opening adjustment strategy, the actuator includes a cold water valve, and the adjustment action includes adjusting the opening of the cold water valve; Based on the return air temperature and supply air humidity content in the second environmental information, and the temperature setting value and supply air humidity content setting value corresponding to the environmental conditions, a PID algorithm is used to determine the second opening of the cold water valve as a basis for adjusting the opening of the cold water valve so that the area to be adjusted meets the environmental conditions, wherein the supply air humidity content setting value is dynamically determined based on the upper limit value of the supply air humidity content setting value, the lower limit value of the supply air humidity content setting value, the supply air humidity content, the upper limit value of the supply air humidity content and the lower limit value of the supply air humidity content.

7. The constant temperature and humidity air conditioning system energy saving control method according to claim 6, characterized in that: After the step of adjusting the second opening of the cold water valve by using a PID algorithm based on the return air temperature and the supply air humidity content in the second environmental information and the temperature setting value and the supply air humidity setting value corresponding to the environmental condition, the step further includes: Based on the return air temperature in the second environmental information and the temperature setting value corresponding to the environmental condition, a PID algorithm is used to determine a third opening degree of the cold water valve; The opening required corresponding to the environmental condition is output from the second opening and the third opening as a basis for adjusting the opening of the cold water valve.

8. The constant temperature and humidity air conditioning system energy saving control method according to claim 1, characterized in that: The step of adjusting the adjustment action based on the second environmental information so that the area to be adjusted meets the environmental condition includes: The multivariate control strategy includes a hot water valve opening adjustment strategy, the actuator includes a hot water valve, and the adjustment action includes adjusting the opening of the hot water valve; Based on the return air temperature in the second environmental information and the temperature setting value corresponding to the environmental condition, a PID algorithm is used to determine the fourth opening of the hot water valve as a basis for adjusting the opening of the hot water valve, so that the area to be adjusted meets the environmental condition; Wherein, if the fourth opening value reaches the preset opening value, the working time of the hot water valve is monitored; If the working time reaches the preset working time, the fourth opening degree is dynamically reduced according to the first preset interval time and the first preset value corresponding to the environmental condition.

9. The constant temperature and humidity air conditioning system energy saving control method according to claim 8, characterized in that: After the step of dynamically reducing the fourth opening according to the first preset interval time and the first preset value corresponding to the environmental condition if the working time reaches the preset working time, the method further includes: The number of hot water valves reaching a preset opening value is counted, and if the number is reduced to a preset number corresponding to the environmental condition, the fourth opening is dynamically increased according to a second preset interval time and a second preset value corresponding to the environmental condition.

10. An air conditioning control device, characterized in that: The air conditioning control device comprises: An environmental sensor, wherein the environmental sensor includes an inner area sensor and an outer area sensor, wherein the inner sensor is used to collect environmental information within the area to be adjusted, and the outer sensor is used to collect environmental information outside the area to be adjusted; An actuator, the actuator being loaded with a control model and used to change environmental information through a natural medium, the natural medium comprising air; An energy efficiency control cabinet, the energy efficiency control cabinet is connected to the environmental sensor, used to receive the environmental information collected by the environmental sensor, and is connected to the actuator, used to control the actuator to adjust the area to be adjusted to meet the corresponding environmental conditions according to the received environmental information, wherein the energy efficiency control cabinet is configured with a host computer program and control logic, and when the control logic is implemented, the steps of the constant temperature and humidity air-conditioning system energy-saving control method are executed as described in any one of claims 1-9.

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