Control method, device and equipment of five-constant system, medium and program product

Abstract

The embodiment of the invention provides a control method, device and equipment of a five-constant system, a medium and a program product. The method comprises the following steps: acquiring current indoor environment parameters; the indoor environment parameters comprise at least one of temperature, humidity, fine particulate matter concentration and carbon dioxide concentration; according to the historically stored operation data and the current indoor environment parameters, the indoor environment parameters after the preset duration are predicted, and predicted indoor environment parameters are obtained; and according to the current indoor environment parameters and the predicted indoor environment parameters, dynamically adjusting operation parameters of end equipment of the five-constant system so as to enable the indoor environment parameters to be within a preset threshold range. The method is used for achieving the effect of improving the indoor environment parameter control accuracy.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence, and in particular to a control method, device, equipment, medium, and program product for a five-constant system. Background Technology

[0002] The automated control of the air conditioning system maintains indoor environmental parameters within the user's comfort range through automated devices, reducing manual operation and lowering maintenance costs.

[0003] Currently, the automated control of air conditioning systems mainly relies on local control panels. These panels collect parameters such as temperature, humidity, and air quality through sensors deployed on-site, and combine these parameters with preset logic rules to start / stop the equipment and adjust the load.

[0004] This method suffers from technical problems such as insufficient data processing capabilities and inaccurate control of indoor environmental parameters. Summary of the Invention

[0005] This application provides a control method, device, equipment, medium, and program product for a five-constant system, which can improve the accuracy of indoor environmental parameter control.

[0006] In a first aspect, embodiments of this application provide a control method for a five-constant system, comprising: acquiring current indoor environmental parameters; the indoor environmental parameters include at least one of the following: temperature, humidity, fine particulate matter concentration, and carbon dioxide concentration;

[0007] Based on historically stored operational data and current indoor environmental parameters, the indoor environmental parameters are predicted after a preset time period to obtain the predicted indoor environmental parameters.

[0008] Based on the current and predicted indoor environmental parameters, the operating parameters of the terminal equipment of the five constant systems are dynamically adjusted to keep the indoor environmental parameters within the preset threshold range.

[0009] Optionally, the step of predicting the indoor environmental parameters after a preset time period based on historically stored operational data and current indoor environmental parameters to obtain the predicted indoor environmental parameters specifically includes:

[0010] The prediction model is trained based on historically stored operational data to obtain the nonlinear laws governing the changes of indoor environmental parameters with external environmental parameters and then embedded into the prediction model.

[0011] The prediction model is used to predict indoor environmental parameters after a preset time period based on the current indoor and external environmental parameters, thus obtaining the predicted indoor environmental parameters.

[0012] Optionally, the step of dynamically adjusting the operating parameters of the terminal devices of the five constant systems based on the current and predicted indoor environmental parameters, so that the indoor environmental parameters after a preset time period are within a preset threshold range, specifically includes:

[0013] If both the current indoor environmental parameters and the predicted indoor environmental parameters exceed the preset threshold range, then the first adjustment operation is executed.

[0014] If the current indoor environmental parameters exceed the preset threshold range and the predicted indoor environmental parameters are within the preset threshold range, then the second adjustment operation is executed.

[0015] If the current indoor environmental parameters do not exceed the preset threshold range but the predicted indoor environmental parameters exceed the preset threshold range, then the third adjustment operation is executed.

[0016] Optionally, the terminal equipment of the five constant systems includes: a capillary module and a fresh air module;

[0017] The step of dynamically adjusting the operating parameters of the terminal devices of the five constant systems based on the current and predicted indoor environmental parameters, so that the indoor environmental parameters after a preset time period are within a preset threshold range, specifically includes:

[0018] The adjustment amount of the water supply parameters is calculated based on the difference between the current indoor ambient temperature and / or the predicted indoor ambient temperature and the preset threshold range.

[0019] Based on the adjustment amount of the water supply parameters, adjust the water supply temperature and / or water supply volume of the capillary module and / or the preheating power of the fresh air module so that the indoor ambient temperature after a preset time is within a preset threshold range.

[0020] Optionally, the step of dynamically adjusting the operating parameters of the terminal devices of the five constant systems based on the current and predicted indoor environmental parameters to keep the indoor environmental parameters within a preset threshold range further includes:

[0021] If the current indoor humidity and / or the predicted indoor humidity are higher than the preset threshold range, the dehumidification mode of the fresh air module will be activated to reduce the indoor humidity.

[0022] If the current indoor humidity and / or the predicted indoor humidity are lower than a preset threshold range, the humidification mode of the fresh air module will be activated to increase the indoor humidity so that it is within the preset threshold range.

[0023] Optionally, the method further includes:

[0024] If the external environmental parameters match the preset threshold range, the proportion of fresh air volume and the proportion of fresh air conditioning load of the fresh air module will be increased, while the proportion of operating load of the capillary module will be decreased.

[0025] If the external environmental parameters do not match the preset threshold range, the outside air is pre-treated by the fresh air module before being sent into the room; the water supply temperature and / or water supply volume of the capillary module are adjusted according to the current indoor environmental parameters and the predicted indoor environmental parameters so that the indoor environmental parameters are within the preset threshold range.

[0026] Optionally, the method further includes:

[0027] The indoor environmental parameters are divided into multiple priorities; the first priority includes temperature and humidity; the second priority includes carbon dioxide concentration and fine particulate matter concentration; wherein, the adjustment priority of the first priority parameters is higher than that of the second priority parameters.

[0028] When multiple indoor environmental parameters are outside their respective preset threshold ranges, they are adjusted in descending order of adjustment priority. Among them, indoor environmental parameters with the same priority are adjusted in a coupled adjustment manner, prioritizing the adjustment of parameters with larger deviations to the preset threshold range.

[0029] Optionally, the method further includes:

[0030] Obtain user behavior data;

[0031] Based on historically stored operational data and user behavior data, indoor environmental parameters are predicted after a preset time period to obtain the predicted indoor environmental parameters.

[0032] Secondly, embodiments of this application provide a control device for a five-constant system, comprising: an acquisition module for acquiring current indoor environmental parameters; the indoor environmental parameters include at least one of the following: temperature, humidity, fine particulate matter concentration, and carbon dioxide concentration;

[0033] The prediction module is used to predict the indoor environmental parameters after a preset time period based on historically stored operational data and current indoor environmental parameters, and obtain the predicted indoor environmental parameters.

[0034] The processing module is used to dynamically adjust the operating parameters of the terminal equipment of the five constant systems based on the current indoor environmental parameters and the predicted indoor environmental parameters, so as to keep the indoor environmental parameters within the preset threshold range.

[0035] Thirdly, embodiments of this application provide an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0036] The memory stores computer-executed instructions;

[0037] The processor executes computer execution instructions stored in the memory to implement the method as described in any of the first aspects.

[0038] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any of the first aspects.

[0039] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the method described in any of the first aspects.

[0040] The control method, apparatus, equipment, medium, and program product for the five constant systems provided in this application predict indoor environmental parameters after a preset time period based on historically stored operating data and current indoor environmental parameters. Based on the current and predicted indoor environmental parameters, the operating parameters of the terminal devices of the five constant systems are dynamically adjusted to keep the indoor environmental parameters within a preset threshold range. This avoids delays in adjusting indoor environmental parameters based on the operating parameters of the terminal devices, improves the accuracy of indoor environmental parameter control, and enhances the user experience. Attached Figure Description

[0041] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0042] Figure 1 This is a schematic diagram illustrating an application scenario involved in an embodiment of this application;

[0043] Figure 2 This is a schematic diagram of the control system of a five-constant system;

[0044] Figure 3 This is a schematic diagram of the structure of a control platform provided in an embodiment of this application;

[0045] Figure 4 A flowchart illustrating a control method for a five-constant system provided in this application;

[0046] Figure 5 A schematic diagram of the structure of a control device for a five-constant system provided in an embodiment of this application;

[0047] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0048] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0049] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0050] Figure 1 This is a schematic diagram illustrating an application scenario involved in an embodiment of this application, such as... Figure 1 As shown, the specific application scenario of this application is the control of a five-constant system.

[0051] The Five Constant System, also known as the Five Constant Technology System, is an air conditioning system that independently controls temperature and humidity. It uses thermal radiation as the temperature control terminal, and combines an independent fresh air system with displacement air supply to provide users with a healthy and comfortable indoor environment with constant temperature, constant humidity, constant oxygen, constant cleanliness, and constant quietness.

[0052] Examples include open cooling towers, air conditioning chillers, air conditioning heat pump units, heat recovery fresh air units, capillary radiant systems, and underground pipe systems.

[0053] For ease of explanation, the capillary radiation system can also be called a capillary module.

[0054] During cooling: The air conditioning chiller or heat pump unit (fresh air / capillary system) starts in cooling mode, and the internal refrigerant circulation generates a large amount of heat. The unit's heat dissipation components (e.g., condenser) are connected to the underground pipe system via pipelines, and the high-temperature cooling water that has absorbed the heat from the unit flows into the underground pipe system. The high-temperature water in the underground pipes interacts with the soil underground, and the soil absorbs the heat from the water, causing the temperature of the high-temperature water in the underground pipes to gradually decrease (e.g., to around 20°C). The cooled water flows back to the unit's condenser to continue absorbing heat from the unit, forming a cooling water circulation. At the same time, the unit's evaporator produces low-temperature chilled water (e.g., 7°C), which is transported through pipelines to the terminal equipment (heat recovery fresh air unit or capillary module). The heat recovery fresh air unit transfers the cooling capacity of the chilled water to the fresh air module, and the cooled fresh air is delivered into the room, while recovering the cooling capacity emitted from the room; the capillary module releases cooling capacity into the room radiantly, without a draft, resulting in a more uniform temperature.

[0055] In summer, when the outdoor temperature is high (e.g., 35℃) and the indoor exhaust air temperature is low (e.g., 25℃), the cooling capacity of the exhaust air is transferred to the fresh air through the heat recovery core inside the unit, pre-cooling the fresh air (from 35℃ to around 28℃). The pre-cooled fresh air is then further cooled by chilled water from the chiller or heat pump within the unit, finally being delivered into the room at around 18℃. In this way, the unit only needs to cool the fresh air from 28℃ to 18℃, which is more energy-efficient than directly cooling it from 35℃ to 18℃.

[0056] During heating: The heat pump unit (fresh air / capillary system) starts its heating mode and needs to obtain heat from the outside. Water (approximately 15°C) in the underground pipes flows into the unit's evaporator; the unit's compressor works, raising the temperature of the water from the underground pipes (e.g., 45°C) to high-temperature hot water; the high-temperature hot water is transported through pipelines to the terminal equipment (heat recovery fresh air unit or capillary module); the heat recovery fresh air unit transfers the heat from the hot water to the fresh air, and the heated fresh air is sent into the room, while simultaneously recovering the heat from the indoor exhaust air; the capillary module releases heat into the room through radiation, making the room more comfortable. The water that has released heat flows back to the underground pipes through pipelines, absorbing underground heat again, forming a hot water cycle.

[0057] In winter, when the outdoor temperature is low (e.g., -5℃) and the indoor exhaust air temperature is high (e.g., 20℃), the heat recovery core of the heat recovery unit transfers heat from the exhaust air to the fresh air, preheating the fresh air (from -5℃ to about 10℃). The preheated fresh air is then further heated by hot water from the heat pump within the unit, ultimately being delivered into the room at a temperature of about 22℃. In this way, the unit only needs to raise the fresh air temperature from 10℃ to 22℃, which is more energy-efficient than directly lowering it from -5℃ to 22℃.

[0058] In summer cooling mode, it uses underground low-temperature efficient heat dissipation, which is more energy-efficient than open cooling towers; in winter heating mode, it uses underground constant-temperature stable heat extraction, which is more reliable than air source heat pumps; the fresh air system further improves the energy-saving effect through heat recovery, which greatly improves the energy efficiency ratio of the entire system.

[0059] It should be understood that the embodiments of this application only provide exemplary examples of the units related to this application in the structure of the five constant systems. The embodiments of this application only provide exemplary descriptions of the functions related to this application. In specific implementation, whether the five constant systems have other modules and other functions is not limited in this application.

[0060] Figure 2 This is a schematic diagram of the control system of a five-constant system, such as... Figure 2 As shown,

[0061] The control system uses a PLC program deployed on-site to start and stop the equipment in rotation. The control system collects data to adjust the load on the equipment. For example, it determines the number of air conditioning units to be turned on or adjusts the fan speed based on the indoor temperature.

[0062] The data acquisition module is responsible for collecting various physical quantities on-site, such as ambient temperature or pipe inlet / outlet temperature via temperature sensors, and pipe pressure via pressure sensors, and converting the collected physical quantities into electrical signals recognizable by the PLC. The data acquisition module transmits real-time data to the PLC control cabinet via signal lines. The PLC control cabinet receives the signals from the data acquisition module, performs calculations and decisions based on preset control logic (such as program algorithms and threshold judgments), generates control commands, and sends signals to the actuators of various devices to adjust operating parameters. For example, the valve intelligent control module drives the electric valve to complete specific actions based on the PLC control signals, such as adjusting the opening degree and switching on / off states. The main unit adjusts the operating frequency, start / stop status, and load adjustment based on the PLC control signals; the chilled water pump / cooling pump adjusts the operating frequency and outlet pressure based on the PLC control signals; and the cooling tower adjusts the fan speed and start / stop status based on the PLC control signals.

[0063] This method suffers from the technical problem that the control system cannot store and analyze data, making it difficult to form accurate predictions, resulting in adjustment delays and inaccurate control of indoor environmental parameters.

[0064] The control method for the five constant systems provided in this application predicts indoor environmental parameters after a preset time period based on historically stored operating data and current indoor environmental parameters. Then, based on the current and predicted indoor environmental parameters, the operating parameters of the terminal devices of the five constant systems are dynamically adjusted to keep the indoor environmental parameters within a preset threshold range. This avoids the delay in adjustment of indoor environmental parameters by the operating parameters of the terminal devices, improves the accuracy of indoor environmental parameter control, and enhances the user experience.

[0065] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0066] Figure 3 This is a schematic diagram of the structure of a control platform provided in an embodiment of this application, such as... Figure 3 As shown,

[0067] The equipment layer is the system's execution terminal, including various hardware devices. Among them, the main unit, chilled water pump, cooling pump, and cooling tower are core equipment of the air conditioning system, responsible for the production, transfer, and dissipation of cooling / heating capacity, serving as the physical carriers of energy consumption and environmental regulation. Electric valves and temperature / pressure sensors: Electric valves regulate the flow rate of fluids (water, refrigerant, etc.), while temperature / pressure sensors collect real-time temperature and pressure data within the pipes, providing basic parameters for system control. Weather instruments, electricity meters, energy meters, and Long Range Radio (LoRa) temperature and humidity sensors are environmental and metering devices. Weather instruments monitor outdoor climate, such as temperature, humidity, wind speed, wind direction, and air pressure. Electricity meters measure electrical energy consumption, energy meters measure cooling and heating usage, and LoRa sensors collect temperature and humidity data from dispersed areas via wireless technology, expanding the data collection range.

[0068] The end layer serves as the intermediate connecting layer between the equipment layer and the edge layer, responsible for data acquisition and initial access. Existing PLC control cabinets, the core of traditional industrial control, directly control the start / stop and parameter adjustment of equipment such as the host, pumps, and valves via protocols like Modbus TCP, acting as a compatible interface between "traditional control" and "intelligent systems." Valve intelligent control modules and data acquisition modules: These modules intelligently upgrade equipment such as electric valves, while simultaneously acquiring sensor data such as temperature and pressure, converting "analog / digital signals" into a system-recognizable format.

[0069] Mushroom Cloud Box and LoRa Base Station: These are key components for "wireless data acquisition." The Mushroom Cloud Box can connect to devices such as electricity meters and energy meters, while the LoRa Base Station supports wireless data transmission from LoRa temperature and humidity sensors, solving the data acquisition problem in scenarios where wired cabling is difficult.

[0070] The control platform consists of a perception layer, a control layer, and a cloud service layer.

[0071] (a) Perception layer

[0072] The perception layer collects environmental parameters through a distributed sensor network. The perception layer may include data acquisition modules related to the edge layer and some device layers.

[0073] By collecting data from sensors such as temperature and pressure using the data acquisition module, the operating parameters of the five constant systems equipment can be obtained.

[0074] LoRa temperature and humidity sensors, energy meters, electricity meters, and weather instruments can communicate and connect with the mushroom cloud box.

[0075] For example, by distributing multiple LoRa temperature and humidity sensors, carbon dioxide concentration sensors, and fine particulate matter (PM2.5) sensors within a target area, comprehensive and high-precision data collection of environmental parameters (such as temperature, humidity, and carbon dioxide concentration) can be achieved. Data collected by each LoRa sensor is transmitted to the Mushroom Cloud Box via a LoRa base station. The Mushroom Cloud Box supports multiple communication protocols, including LoRa, and is compatible with LoRa temperature and humidity sensors. It receives distributed data from all sensor nodes, performs aggregation and protocol conversion (e.g., converting the sensor's proprietary protocol to a common network protocol), and then uploads the data to the cloud service layer for subsequent storage, analysis, and processing. Simultaneously, the Mushroom Cloud Box can also configure and manage the LoRa temperature and humidity sensors according to instructions from the cloud.

[0076] The Mushroom Cloud Box can collect data from the energy meter through a communication interface and transmit the energy usage data to the cloud service layer in real time, thereby enabling the monitoring and management of energy consumption, helping users understand their energy usage, and conducting energy efficiency analysis and cost accounting.

[0077] The Mushroom Cloud Box can acquire data such as current, voltage, power, and electricity consumption measured by the electricity meter through a communication interface. The Mushroom Cloud Box can then send this data to the cloud.

[0078] The mushroom cloud box collects environmental meteorological data measured by the weather instrument through a communication interface.

[0079] (ii) Control layer

[0080] The control layer is responsible for data processing, logic control, and edge decision-making. Based on the control instructions issued by the cloud service layer, it coordinates the operation of hardware devices such as heating and cooling radiation, humidification and dehumidification.

[0081] The control layer can include an edge intelligent server and an intelligent control engine. The intelligent control engine is used to run control algorithms based on the collected data to control actuators such as valve intelligent control modules and existing PLC control cabinets, and to perform operations such as starting and stopping equipment and adjusting valve opening. It can also perform logical judgments such as early warning.

[0082] Edge intelligent servers, also known as edge computing gateways, can be deployed on floors or in areas for real-time detection / configuration, data pass-through, and further integration and processing of data. They also provide data support for the cloud service layer and can perform some simple intelligent analysis and decision-making at the edge.

[0083] (III) Cloud Service Layer

[0084] The cloud service layer performs centralized storage, in-depth analysis, global optimization, and intelligent application of data. It can provide hardware resources such as computing, storage, and networking through cloud servers to support the operation of its software.

[0085] By receiving data uploaded from edge intelligent servers via the Internet, the system can perform tasks such as intelligent control, AI-powered intelligent optimization, predictive maintenance, data center digitization, intelligent operation and maintenance, and data analysis, thereby managing, optimizing, and making decisions for the entire system from a holistic perspective.

[0086] Intelligent control: Based on massive amounts of data and AI algorithms in the cloud, control strategies are optimized, such as dynamically adjusting equipment operating parameters at different times, so that the system can be upgraded from passive response to proactive optimization.

[0087] AI-powered optimization: Combining multi-dimensional data such as climate, energy consumption, and comfort, AI algorithms are used to find operating combinations that are low in energy consumption and provide a good user experience, such as the collaborative strategy of capillary modules and fresh air modules.

[0088] Predictive maintenance: Analyze historical operating data of equipment, such as pump vibration and current, to predict equipment failure risks, perform maintenance in advance, and avoid unplanned downtime.

[0089] Data center digitization: Digitally modeling the equipment, pipelines, and data in the physical data center to create a digital twin of the data center, facilitating remote management and planning.

[0090] Intelligent operation and maintenance: Integrates data from the entire process of equipment operation, early warning, and maintenance to automate the operation and maintenance process.

[0091] Data analysis: Conduct in-depth analysis of data such as energy consumption, comfort, and equipment efficiency of the entire system to provide a basis for management decisions, such as developing energy-saving renovation plans.

[0092] The cloud service layer supports OTA upgrades and cross-device linkage, regularly pushes AI model updates and control strategy optimization packages, and supports cross-device linkage (such as integration with smart home systems).

[0093] Figure 4 A flowchart illustrating a control method for a five-constant system provided in this application is shown below. Figure 4 As shown, the execution subject of this method can be a control tool or Figure 3 The control platform shown, or the electronic device or control system equipped with control tools, is illustrated in this embodiment using a control platform as an example. The method may include, for example, the following steps:

[0094] S401. Obtain the current indoor environmental parameters; the indoor environmental parameters include at least one of the following: temperature, humidity, fine particulate matter concentration, and carbon dioxide concentration;

[0095] For example, high-precision sensors can be used to collect indoor environmental parameters. These include a LoRa temperature sensor with an accuracy of ±0.5℃ (20-65℃), a LoRa humidity sensor with an accuracy of ±3% RH (20-80% RH), a PM2.5 sensor with an accuracy of ±0.5℃ (20-65℃) and ±3% RH (20-80% RH), and a carbon dioxide concentration with an accuracy of 0-4000ppm and an error ≤±50ppm+5%. The sensors can collect data at fixed intervals, such as 10 seconds per measurement. The control platform obtains the current indoor environmental parameters by acquiring the data from these sensors through a communication interface.

[0096] By using sensors that utilize the LoRa protocol to collect indoor environmental parameters, the problem of WiFi signal interference can be avoided, and latency can be reduced.

[0097] In one example, indoor environmental parameters collected by sensors are directly transmitted to the cloud server of the control platform via network communication such as 4G / 5G, reducing latency and improving the accuracy of real-time indoor environmental parameter detection.

[0098] S402. Based on historically stored operational data and current indoor environmental parameters, predict the indoor environmental parameters after a preset time period to obtain the predicted indoor environmental parameters.

[0099] Historical operational data can include, for example, operational data from a specific time period in the past, such as the past year, the past month, or the past week. Operational data can also include, for example, indoor environmental parameters (such as temperature, humidity, carbon dioxide concentration, PM2.5 concentration, etc.), operational data of the five constant systems equipment (such as start-up and stop times and operating power of the main unit, chilled pump, cooling pump, etc.), and meteorological data (such as outdoor temperature, humidity, wind speed, light intensity, etc.).

[0100] The preset duration can be a fixed duration, such as 15 minutes, or a duration that matches the response cycle of the end device.

[0101] In one example, future values ​​are predicted by weighting the parameter values ​​from N selected historical moments. For instance, the average value of the parameters over the most recent M collection periods (such as the average temperature over the last 10 minutes) can be used as the predicted value for the next 15 minutes; alternatively, more recent data can be assigned higher weights (e.g., 0.7 weight for the last 5 minutes and 0.3 weight for the last 10 minutes) to reduce the interference of older data on the prediction. This method is easy to implement.

[0102] In one example, indoor environmental parameters can be predicted based on the parameter prediction formula after a preset time period.

[0103] Predicted indoor ambient temperature = current temperature + (outdoor temperature - current temperature) × heat transfer coefficient + (fresh air volume × 0.05); where the heat transfer coefficient can be 0.2.

[0104] Predicted indoor carbon dioxide concentration = Current concentration + (Number of people × Body size) Production volume) ÷ Fresh air volume.

[0105] Among them, the human body The amount produced can be ;

[0106] This method is easy to implement.

[0107] In one example, a decision tree approach is used to predict indoor environmental parameters after a preset time period, based on historically stored operational data and current indoor environmental parameters. For instance, influencing factors are broken down into multiple decision nodes (e.g., when the outdoor temperature is >30℃, the predicted indoor temperature is +1℃), forming a prediction path. The error of a single tree is reduced by voting or weighting multiple decision trees; for example, 100 trees are used for prediction, and the majority result is taken as the final value.

[0108] In one example, a prediction model is trained based on historically stored operational data to obtain the nonlinear laws governing the changes in indoor environmental parameters with external environmental parameters and embed them into the prediction model.

[0109] The prediction model uses current indoor and external environmental parameters to predict indoor environmental parameters after a preset time period, thus obtaining the predicted indoor environmental parameters.

[0110] (1) Data preprocessing.

[0111] Use the "3σ principle" or "box plot method" to remove extreme values ​​(e.g., a sudden outdoor temperature display of 50℃ is clearly a sensor malfunction) to avoid interfering with the model's judgment of nonlinear laws. If the data missing rate is ≤5%, use "linear interpolation" (suitable for continuous time series) or "K-nearest neighbor imputation" (suitable for data strongly correlated with surrounding time points); if the missing rate is high, check whether the sensor is faulty and supplement the data collection. Construct nonlinear features, for example, construct an interaction term of "external temperature × solar radiation" (when solar radiation is strong, the impact of outdoor high temperature on indoor temperature will double, which is a typical nonlinear relationship); perform a square / logarithmic transformation on "outdoor humidity" (when humidity exceeds 60%, the impact on indoor humidity will change from "slowly rising" to "rapidly accumulating", showing obvious nonlinear characteristics); expand "equipment operating status" from "start / stop" (0 / 1) to "running time × power" (e.g., an air conditioner running for 3 hours with a power of 800W has a greater impact on indoor temperature than one running for 1 hour with a power of 500W).

[0112] (2) Train the prediction model using historical data to determine the nonlinear law of indoor environmental parameters changing with external environmental parameters.

[0113] For example, the nonlinear relationship between indoor environmental parameters and external environmental parameters can be obtained by training on historical data using gradient boosting trees (XGBoost) or long short-term memory networks (LSTM).

[0114] For example, historical data can be divided into training, validation, and test sets according to time sequence. For instance, the first 70% of historical data (e.g., data from the first 8 months of the past year) can be used to allow the model to learn the nonlinear relationship between indoor and external environmental parameters. The middle 20% of data (e.g., data from the 9th-10th months of the past year) can be used to adjust model parameters (e.g., XGBoost tree depth, LSTM hidden layer number, etc.) to avoid overfitting the model to the training data. The most recent 10% of data (e.g., data from the 11th-12th months of the past year) can be used to simulate real-world prediction scenarios, evaluate the model's performance on the new data, and verify the effectiveness of the nonlinear patterns identified by the model.

[0115] By using real-time sensor data (temperature and humidity, PM2.5 concentration, carbon dioxide concentration) and external data (light intensity, outdoor temperature and humidity), the predictive model can predict changes in the indoor environment in the next 15 minutes. For example, due to increased outdoor light, the indoor temperature will rise from 25.8°C to 26.8°C in the next 15 minutes.

[0116] By using a predictive model, indoor environmental parameters are predicted after a preset time period based on current indoor and external environmental parameters, thus improving the accuracy of the predicted indoor environmental parameters.

[0117] Furthermore, the prediction model is updated at preset time intervals.

[0118] For example, external environments (such as seasonal changes, changes in greenery around buildings) or indoor scenarios (such as changes in population density, equipment aging, etc.) may change over time. The model can be retrained with existing historical data and new data at preset time intervals (such as one month, seasonal transitions, etc.) to update the prediction model, so that the nonlinear laws determined by the prediction model remain effective and improve the accuracy of the indoor environmental parameters predicted by the prediction module.

[0119] S403. Based on the current indoor environmental parameters and the predicted indoor environmental parameters, dynamically adjust the operating parameters of the terminal equipment of the five constant systems so that the indoor environmental parameters are within the preset threshold range.

[0120] The terminal devices of the five constant systems may include, for example, capillary modules and fresh air modules. A capillary module may be a module composed of a series of tiny capillaries, with a large surface area to volume ratio, which can effectively transfer heat.

[0121] For example, a fresh air module can deliver treated fresh outdoor air into the room while expelling stale indoor air. This fresh air module can also have humidification and dehumidification functions.

[0122] The operating parameters of the terminal equipment of the five constant systems may include, for example, the water supply temperature and water supply volume of the capillary module; and the air volume of the fresh air module.

[0123] The preset threshold range can be, for example, the target range of any five constant systems. Each indoor environmental parameter can correspond to its own preset threshold range, such as: temperature 22-26℃, humidity 50-60%RH, PM2.5 ≤ 50μg / m³. ≤1000ppm.

[0124] The control platform can acquire operating parameters (such as temperature and pressure data) of the capillary module through the data acquisition module by reading temperature and pressure sensors. It can also acquire power, current, and voltage data of the fresh air module through current and voltage sensors. The capillary module is typically equipped with an intelligent controller, which can read operating parameters such as water supply temperature and flow rate. The fresh air module is also typically equipped with an intelligent controller, which reads parameters such as supply air velocity, exhaust air velocity, and filter operating time. The data acquisition module can continuously collect large amounts of temperature and pressure data through the temperature and pressure sensors. In one example, the data acquisition module can directly upload this raw data to a cloud server, a method that is easy to implement. In another example, the data acquisition module can first upload this raw data to an edge server. The edge server performs preliminary cleaning and filtering of this raw data, removing invalid data (e.g., outliers, duplicates, or noisy data), and then uploads the valid and valuable data to the cloud server, reducing data transmission volume and improving data transmission efficiency. In addition, edge servers can aggregate temperature and pressure data from different acquisition modules, and package data of the same area or type for uploading. For example, data from multiple pressure acquisition points on different floors can be aggregated by the edge server and then uploaded to the cloud server. Compared with uploading data from each acquisition point separately, this reduces the amount of data transmitted over the network and lowers the demand for network bandwidth.

[0125] For example, the control platform can adjust the terminal equipment in advance based on the current and predicted indoor environmental parameters, rather than waiting for the parameters to exceed the threshold before taking action.

[0126] In one example, if both the current indoor environmental parameters and the predicted indoor environmental parameters exceed the preset threshold range, the first adjustment operation is performed.

[0127] If the current indoor environmental parameters exceed the preset threshold range and the predicted indoor environmental parameters are within the preset threshold range, then the second adjustment operation is executed.

[0128] If the current indoor environmental parameters do not exceed the preset threshold range but the predicted indoor environmental parameters exceed the preset threshold range, then the third adjustment operation is executed.

[0129] If both the current and predicted indoor environmental parameters exceed the preset threshold range, the operating parameters of the terminal equipment can be adjusted immediately. For example, if the current indoor temperature is 26.8℃ and the predicted indoor temperature after 15 minutes is 27.3℃, it indicates that the temperature is continuously rising. In this case, the adjustment of the terminal equipment's operating parameters can be increased to enhance its adjustment capability. For example, the water supply temperature of the capillary module can be reduced by 2℃, while the fresh air preheating power can be reduced to adjust the temperature to the preset threshold range as quickly as possible.

[0130] If the predicted ambient temperature is high, reduce the water supply temperature of the capillary module or decrease the water flow rate.

[0131] If the current indoor environmental parameters exceed the preset threshold range and the predicted indoor environmental parameters are within the preset threshold range, it means that changes in the external environment can adjust the indoor environmental parameters to a range that is relatively comfortable for the user. In this case, the operating parameters of the terminal devices can be kept unchanged to reduce system energy consumption. For example, if the ambient temperature is 26.8℃, and the predicted indoor ambient temperature for the next 15 minutes is 25.8℃ due to factors such as reduced light intensity or wind, the operating parameters of the terminal devices can be kept unchanged.

[0132] If the current indoor environmental parameters do not exceed the preset threshold range but the predicted indoor environmental parameters exceed the preset threshold range, the terminal equipment can be adjusted in advance, rather than waiting for the parameters to exceed the threshold before taking action. For example, if the indoor temperature is expected to rise from 25.8℃ to 26.8℃ in the next 15 minutes due to increased outdoor sunlight, the water supply temperature of the capillary module can be reduced by 1℃ in advance to avoid exceeding the temperature limit.

[0133] According to the combination of current indoor environment parameters and predicted indoor environment parameters, different adjustment operations are performed. When it is predicted that the parameters are about to exceed the preset threshold range, the operating parameters of the terminal equipment can be adjusted in advance to avoid exceeding the standard of indoor environment parameters. And when it is predicted that the parameters can be adjusted adaptively by themselves, the operating parameters of the terminal equipment remain unchanged to reduce the system power consumption. And when both the current parameters and the predicted parameters exceed the preset threshold range, the adjustment strength of the operating parameters of the terminal equipment is increased to adjust the indoor environment parameters to the preset threshold range as soon as possible and improve the user's comfort.

[0134] In summary, the control method of the five-constant system provided by the embodiments of the present application predicts the indoor environment parameters after a preset time according to the operation data stored historically and the current indoor environment parameters, and obtains the predicted indoor environment parameters; according to the current indoor environment parameters and the predicted indoor environment parameters, dynamically adjusts the operating parameters of the terminal equipment of the five-constant system to make the indoor environment parameters within the preset threshold range. Avoid the adjustment delay of the operating parameters of the terminal equipment for the indoor environment parameters, improve the accuracy of indoor environment parameter control, and improve the user's physical experience.

[0135] Further, when the current indoor environment temperature and / or the predicted indoor environment temperature exceed the preset threshold range, the following operations can be performed:

[0136] Calculate the adjustment amount of the water supply parameters according to the difference between the current indoor environment temperature and / or the predicted indoor environment temperature and the preset threshold range;

[0137] Adjust the water supply temperature and / or the water supply volume of the capillary module and / or the preheating power of the fresh air module according to the adjustment amount of the water supply parameters so that the indoor environment temperature after a preset time is within the preset threshold range.

[0138] For example, the capillary module dissipates heat through radiation and convection, and a certain temperature difference needs to be maintained between the water supply temperature and the room temperature. The adjustment amount of the water supply parameters can be calculated by the PID algorithm or the fuzzy control algorithm according to the thermal inertia of the building and the water body. For example, when the target temperature is 24 °C, the water supply temperature is set to 20 °C (maintaining a 4 °C temperature difference). In summer, for every 1 °C deviation of the indoor environment temperature, the water supply temperature is adjusted by 0.8 °C. In winter, for every 1 °C deviation of the indoor environment temperature, the water supply temperature is adjusted by 1 °C.

[0139] In an example, the water supply volume can be adjusted while adjusting the water supply temperature, and this method can improve the adjustment efficiency.

[0140] In another example, the water supply temperature of the capillary module can be adjusted first based on the adjustment amount of the water supply temperature. When the water supply temperature adjustment reaches the upper limit, if the deviation still cannot be offset, the flow rate of the capillary module and / or the preheating power of the fresh air module can be further adjusted. For example, the opening degree of the electric valve or the frequency of the water pump can be adjusted by sending control commands to the valve intelligent control module.

[0141] In one example, with a target temperature of 24℃ and a preset temperature range of 23.7-24.3℃, the capillary module's water supply temperature is 20℃. If the predicted indoor temperature is 25℃, the water supply temperature needs to be lowered, for example, by adjusting it to 19℃. This increases the temperature difference, improves heat dissipation, and prevents the temperature from rising in advance.

[0142] At the same time, by adjusting the preheating power of the fresh air module, the ability to regulate indoor ambient temperature can be further improved.

[0143] This dynamic adjustment method saves energy compared to traditional start-stop control, reduces frequent equipment starts and stops, and avoids the impact of frequent starts and stops on equipment lifespan.

[0144] Furthermore, when the current indoor humidity and / or the predicted indoor humidity exceed a preset threshold range, the following operations can be performed:

[0145] If the current indoor humidity and / or the predicted indoor humidity are higher than the preset threshold range, the dehumidification mode of the fresh air module will be activated to reduce the indoor humidity.

[0146] If the current indoor humidity and / or the predicted indoor humidity are lower than the preset threshold range, the humidification mode of the fresh air module will be turned on to increase the indoor humidity so that the indoor humidity is within the preset threshold range.

[0147] By linking the dehumidification mode of the fresh air module (e.g., lowering the fresh air temperature to 16-18℃), the condensation of water vapor in the air can be accelerated and discharged through the drainage system, avoiding excessive humidity and improving the efficiency of indoor humidity regulation.

[0148] By performing the above operations, the indoor humidity can be adjusted to a preset threshold range, improving adjustment efficiency and enhancing the user experience.

[0149] Furthermore, if the current and / or predicted indoor carbon dioxide concentration exceeds a preset threshold range, the fresh air volume of the fresh air module is increased to reduce the indoor carbon dioxide concentration. By activating the adjustment function when the predicted indoor carbon dioxide concentration exceeds the preset threshold range, the delay in adjusting the fresh air module's operating parameters for indoor environmental parameters can be avoided, thus improving the user experience.

[0150] Furthermore, if the current and / or predicted indoor PM2.5 concentration exceeds a preset threshold range, the fresh air volume of the fresh air module will be increased to reduce the indoor PM2.5 concentration. By activating the adjustment function when the predicted indoor PM2.5 concentration exceeds the preset threshold range, the delay in adjusting the fresh air module's operating parameters for indoor environmental parameters can be avoided, thus improving the user experience.

[0151] Furthermore, if the external environmental parameters match the preset threshold range, the proportion of fresh air volume and fresh air conditioning load of the fresh air module will be increased, while the proportion of operating load of the capillary module will be reduced.

[0152] If the external environmental parameters do not match the preset threshold range, the outside air is pre-treated by the fresh air module before being sent into the room; the water supply temperature and / or water supply volume of the capillary module are adjusted according to the current indoor environmental parameters and the predicted indoor environmental parameters so that the indoor environmental parameters are within the preset threshold range.

[0153] If the outdoor temperature and humidity are suitable (e.g., 23℃ / 55%RH in spring and autumn), increase the proportion of fresh air, or even operate with 100% fresh air, to reduce the load on the capillary module. If the outdoor temperature and humidity are extreme (e.g., 35℃ / 80%RH in summer), pre-cool and dehumidify the fresh air, then cool it to 20℃ / 50%RH using the fresh air handling unit before introducing it into the room, avoiding the introduction of hot and humid air that could cause fluctuations in indoor parameters. This method makes full use of natural cooling sources and saves system energy consumption.

[0154] Furthermore, indoor environmental parameters can be divided into multiple priorities; the first priority includes temperature and humidity; the second priority includes carbon dioxide concentration and fine particulate matter concentration; among them, the adjustment priority of the first priority parameters is higher than that of the second priority parameters.

[0155] When multiple indoor environmental parameters are outside their respective preset threshold ranges, they are adjusted in descending order of adjustment priority; among them, indoor environmental parameters with the same priority are adjusted in a coupled manner.

[0156] When multiple indoor environmental parameters need to be adjusted, for example If the humidity level exceeds the standard, more fresh air needs to be added, but this will cause the indoor humidity to drop. It is advisable to adjust the air supply according to the comfort priority.

[0157] For example, when the primary parameters are set at temperature (22-26℃) and humidity (50-60% RH), users feel more comfortable and can prioritize adjusting these parameters. If the humidity is below 50%, even if the carbon dioxide concentration is slightly higher (e.g., 1200ppm), the humidifier can be turned on first, and then the carbon dioxide concentration can be slowly reduced by mixing fresh air and return air.

[0158] When the primary parameters are stable, the fresh air filtration level or fresh air volume is automatically adjusted until the preset threshold range is met.

[0159] Adjustments to indoor environmental parameters of the same priority often exhibit coupling. For example, dehumidification may be accompanied by cooling, and heating may be accompanied by humidification. Using a coupled adjustment approach for parameters of the same priority is beneficial. For instance, when the indoor temperature is high, the water supply temperature of the capillary module can be increased while simultaneously activating the humidification function of the fresh air system to prevent a sudden drop in humidity. A small amount of heat can be simultaneously applied during dehumidification to prevent excessively low temperatures. This avoids the negative impact of adjusting one parameter on another.

[0160] Furthermore, for indoor environmental parameters of the same priority, parameters with larger deviations can be adjusted to the preset threshold range first. For example, if the temperature deviates by 3°C and the humidity deviates by 10%, the humidity deviation can be considered larger. In this case, dehumidification can be prioritized, while temperature control can be coordinated to avoid the temperature from dropping too low due to dehumidification. If the temperature deviates by 5°C and the humidity deviates by 3%, the temperature deviation can be considered larger. In this case, temperature control can be prioritized, while humidity fluctuations can be controlled simultaneously.

[0161] When multiple parameters need to be adjusted simultaneously, the higher-priority parameters are adjusted first, followed by the lower-priority parameters. This avoids the dispersion of system resources and loss of control of core parameters caused by adjusting multiple parameters at the same time, and is easy to implement.

[0162] Furthermore, user behavior data can be obtained;

[0163] Based on historically stored operational data and user behavior data, indoor environmental parameters are predicted after a preset time period to obtain the predicted indoor environmental parameters.

[0164] For example, users can set meeting times and participants via a mobile app. For instance, if a one-hour meeting with 10 people is scheduled to begin in 15 minutes, the predictive model can use historical operational data and user-inputted meeting information to predict an increase in indoor carbon dioxide concentration from 800 ppm to 1100 ppm. The control platform can increase the fresh air volume from 40 m³ / h to 80 m³ / h, while simultaneously regulating the temperature to prevent significant fluctuations, maintaining a concentration of 900 ppm during the meeting and improving the user experience.

[0165] For example, users can remotely view air quality indicators, switch modes with one click (such as sleep or ventilation mode), and customize their schedules (such as automatically increasing oxygen concentration in the morning and reducing noise to below 30 decibels at night) via a mobile app.

[0166] The predictive model can increase the operating power of the fresh air module and increase the amount of fresh outdoor air introduced before the user sets a time, based on historically stored operating data and the user's regular needs.

[0167] To reduce noise at night, the fresh air volume is reduced to the minimum guaranteed value, the fan / pump speed is adjusted to the lowest level, and the compressor start-stop frequency is reduced.

[0168] Figure 5 This is a schematic diagram of the structure of a control device for a five-constant system provided in an embodiment of this application, as shown below. Figure 5 As shown, the device includes: an acquisition module 501, a prediction module 502, and a processing module 503;

[0169] The acquisition module 501 is used to acquire the current indoor environmental parameters; the indoor environmental parameters include at least one of the following: temperature, humidity, fine particulate matter concentration, and carbon dioxide concentration.

[0170] The prediction module 502 is used to predict the indoor environmental parameters after a preset time period based on historically stored operating data and current indoor environmental parameters, and obtain the predicted indoor environmental parameters.

[0171] The processing module 503 is used to dynamically adjust the operating parameters of the terminal equipment of the five constant systems according to the current indoor environmental parameters and the predicted indoor environmental parameters, so as to keep the indoor environmental parameters within the preset threshold range.

[0172] One possible implementation is that the prediction module 502 is specifically used to train a prediction model based on historically stored operating data, obtain the nonlinear law of indoor environmental parameters changing with external environmental parameters and embed it into the prediction model; through the prediction model, based on the current indoor environmental parameters and external environmental parameters, the indoor environmental parameters after a preset time period are predicted to obtain the predicted indoor environmental parameters.

[0173] One possible implementation is that the processing module 503 is specifically used to perform a first adjustment operation if both the current indoor environmental parameters and the predicted indoor environmental parameters exceed a preset threshold range; perform a second adjustment operation if the current indoor environmental parameters exceed the preset threshold range and the predicted indoor environmental parameters are within the preset threshold range; and perform a third adjustment operation if the current indoor environmental parameters do not exceed the preset threshold range and the predicted indoor environmental parameters exceed the preset threshold range.

[0174] One possible implementation is that the terminal equipment of the five constant systems includes: a capillary module and a fresh air module; a processing module 503, specifically used to calculate the adjustment amount of the water supply parameters based on the difference between the current indoor ambient temperature and / or the predicted indoor ambient temperature and a preset threshold range; and to adjust the water supply temperature and / or water supply volume of the capillary module and / or the preheating power of the fresh air module according to the adjustment amount of the water supply parameters, so that the indoor ambient temperature after a preset time is within the preset threshold range.

[0175] In one possible implementation, the processing module 503 is further configured to: if the current indoor humidity and / or the predicted indoor humidity is higher than a preset threshold range, activate the dehumidification mode of the fresh air module to reduce the indoor humidity; if the current indoor humidity and / or the predicted indoor humidity is lower than a preset threshold range, activate the humidification mode of the fresh air module to increase the indoor humidity so that the indoor humidity is within the preset threshold range.

[0176] In one possible implementation, the processing module 503 is further configured to: increase the proportion of fresh air volume and fresh air conditioning load of the fresh air module, and decrease the proportion of operating load of the capillary module, if the external environmental parameters match the preset threshold range; if the external environmental parameters do not match the preset threshold range, pre-treat the outside air through the fresh air module before sending it into the room; and adjust the water supply temperature and / or water supply of the capillary module according to the current indoor environmental parameters and the predicted indoor environmental parameters, so that the indoor environmental parameters are within the preset threshold range.

[0177] In one possible implementation, the processing module 503 is further used to divide indoor environmental parameters into multiple priorities; the first priority includes temperature and humidity; the second priority includes carbon dioxide concentration and fine particulate matter concentration; wherein, the adjustment priority of the first priority parameter is higher than that of the second priority parameter; when multiple indoor environmental parameters are outside their respective preset threshold ranges, they are adjusted in order of adjustment priority from high to low; wherein, indoor environmental parameters of the same priority adopt a coupled adjustment method, and the parameter with the larger deviation is adjusted to the preset threshold range first.

[0178] In one possible implementation, the acquisition module 501 is also used to acquire user behavior data; the prediction module 502 is also used to predict indoor environmental parameters after a preset time period based on historically stored operation data and user behavior data, so as to obtain the predicted indoor environmental parameters.

[0179] The control device for the five constant systems provided in this embodiment can execute the methods provided in the above-described method embodiments. Its implementation principle and technical effects are similar, and will not be described in detail here.

[0180] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 6 As shown, the electronic device may include at least one processor 601 and a memory 602.

[0181] The memory 602 is used to store programs. Specifically, the program may include program code, which includes computer operation instructions.

[0182] The memory 602 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0183] The processor 601 is used to execute computer execution instructions stored in the memory 602 to implement the actions in the foregoing method embodiments. The processor 601 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0184] Optionally, the electronic device may also include a communication interface 603 for communication and interaction with external devices. In specific implementations, if the communication interface 603, memory 602, and processor 601 are implemented independently, the communication interface 603, memory 602, and processor 601 can be interconnected via a bus to complete communication between them.

[0185] Optionally, in a specific implementation, if the communication interface 603, memory 602, and processor 601 are integrated on a single chip, then the communication interface 603, memory 602, and processor 601 can communicate through an internal interface.

[0186] This application also provides a computer-readable storage medium, which may include various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), and a random access memory (RAM). Specifically, the computer-readable storage medium stores program instructions, which are used to implement the actions of the above-described method implementation.

[0187] This application also provides a computer program product including executable instructions stored in a readable storage medium. At least one processor of an electronic device can read the executable instructions from the readable storage medium, and the at least one processor executes the executable instructions to cause the electronic device to perform the actions described in the method embodiments.

[0188] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this application.

[0189] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A control method for a five-constant system, characterized in that, include: Obtain current indoor environmental parameters; the indoor environmental parameters include at least one of the following: temperature, humidity, fine particulate matter concentration, and carbon dioxide concentration; Based on historically stored operational data and current indoor environmental parameters, the indoor environmental parameters are predicted after a preset time period to obtain the predicted indoor environmental parameters. Based on the current and predicted indoor environmental parameters, the operating parameters of the terminal equipment of the five constant systems are dynamically adjusted to keep the indoor environmental parameters within the preset threshold range.

2. The method according to claim 1, characterized in that, The process of predicting indoor environmental parameters based on historically stored operational data and current indoor environmental parameters for a preset duration, specifically includes: The prediction model is trained based on historically stored operational data to obtain the nonlinear laws governing the changes of indoor environmental parameters with external environmental parameters and then embedded into the prediction model. The prediction model is used to predict indoor environmental parameters after a preset time period based on the current indoor and external environmental parameters, thus obtaining the predicted indoor environmental parameters.

3. The method according to claim 1, characterized in that, The step of dynamically adjusting the operating parameters of the terminal devices of the five constant systems based on the current and predicted indoor environmental parameters, so that the indoor environmental parameters after a preset time period are within a preset threshold range, specifically includes: If both the current indoor environmental parameters and the predicted indoor environmental parameters exceed the preset threshold range, then the first adjustment operation is executed. If the current indoor environmental parameters exceed the preset threshold range and the predicted indoor environmental parameters are within the preset threshold range, then the second adjustment operation is executed. If the current indoor environmental parameters do not exceed the preset threshold range but the predicted indoor environmental parameters exceed the preset threshold range, then the third adjustment operation is executed.

4. The method according to claim 1, characterized in that, The terminal equipment of the five constant systems includes: capillary module and fresh air module; The step of dynamically adjusting the operating parameters of the terminal devices of the five constant systems based on the current and predicted indoor environmental parameters, so that the indoor environmental parameters after a preset time period are within a preset threshold range, specifically includes: The adjustment amount of the water supply parameters is calculated based on the difference between the current indoor ambient temperature and / or the predicted indoor ambient temperature and the preset threshold range. Based on the adjustment amount of the water supply parameters, adjust the water supply temperature and / or water supply volume of the capillary module and / or the preheating power of the fresh air module so that the indoor ambient temperature after a preset time is within a preset threshold range.

5. The method according to claim 4, characterized in that, The step of dynamically adjusting the operating parameters of the terminal equipment of the five constant systems based on the current and predicted indoor environmental parameters to keep the indoor environmental parameters within a preset threshold range also includes: If the current indoor humidity and / or the predicted indoor humidity are higher than the preset threshold range, the dehumidification mode of the fresh air module will be activated to reduce the indoor humidity. If the current indoor humidity and / or the predicted indoor humidity are lower than a preset threshold range, the humidification mode of the fresh air module will be activated to increase the indoor humidity so that it is within the preset threshold range.

6. The method according to claim 4, characterized in that, The method further includes: If the external environmental parameters match the preset threshold range, the proportion of fresh air volume and the proportion of fresh air conditioning load of the fresh air module will be increased, while the proportion of operating load of the capillary module will be decreased. If the external environmental parameters do not match the preset threshold range, the outside air is pre-treated by the fresh air module before being sent into the room; the water supply temperature and / or water supply volume of the capillary module are adjusted according to the current indoor environmental parameters and the predicted indoor environmental parameters so that the indoor environmental parameters are within the preset threshold range.

7. The method according to claim 1, characterized in that, The method further includes: The indoor environmental parameters are divided into multiple priorities; the first priority includes temperature and humidity; the second priority includes carbon dioxide concentration and fine particulate matter concentration; wherein, the adjustment priority of the first priority parameters is higher than that of the second priority parameters. When multiple indoor environmental parameters are outside their respective preset threshold ranges, they are adjusted in descending order of adjustment priority. Among them, indoor environmental parameters with the same priority are adjusted in a coupled adjustment manner, prioritizing the adjustment of parameters with larger deviations to the preset threshold range.

8. The method according to any one of claims 1 to 7, characterized in that, The method further includes: Obtain user behavior data; Based on historically stored operational data and user behavior data, indoor environmental parameters are predicted after a preset time period to obtain the predicted indoor environmental parameters.

9. A control device for a five-constant system, characterized in that, include: The acquisition module is used to acquire current indoor environmental parameters; the indoor environmental parameters include at least one of the following: temperature, humidity, fine particulate matter concentration, and carbon dioxide concentration. The prediction module is used to predict the indoor environmental parameters after a preset time period based on historically stored operational data and current indoor environmental parameters, and obtain the predicted indoor environmental parameters. The processing module is used to dynamically adjust the operating parameters of the terminal equipment of the five constant systems based on the current indoor environmental parameters and the predicted indoor environmental parameters, so as to keep the indoor environmental parameters within the preset threshold range.

10. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1 to 8.

12. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1 to 8.

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