Intelligent radiation warm and cool five-constant system and remote monitoring method

Abstract

The invention relates to the technical field of intelligent control, in particular to an intelligent radiation constant-temperature and constant-temperature system and a remote monitoring method, and the system comprises a radiation tail end control module, a hydraulic balance adjusting module, a fresh air humidity regulation and control module, a cold and heat source matching module and a noise and vibration suppression module. According to the method, through fine collection and analysis of temperature data of differentiated areas and optimization of a heat exchange strategy, precise temperature control is achieved, the response capacity is improved, the fluid flowing state is dynamically adjusted, hydraulic balance is optimized, reasonable distribution of cold water and hot water is ensured, heat loss is reduced, energy efficiency is improved, and air quality monitoring and the humidity change trend are combined; the dehumidification and humidification capacity of the fresh air system is optimized, the humidity adjusting precision is improved, cold and heat source output is dynamically matched with environment heat loads, energy consumption optimization is achieved, hydraulic control and vibration suppression are optimized based on flow speed and vibration monitoring, the mute effect and comfort are improved, multi-dimensional data collaboration is achieved, and accurate adjustment, independent control and efficient energy consumption management are achieved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an intelligent radiation cooling and heating five-constant system and a remote monitoring method. Background Art

[0002] The field of intelligent control technology includes the perception of environmental parameters, data collection, intelligent analysis and adaptive adjustment, aiming to improve the comfort, energy saving and intelligence of the living environment through precise control systems. In this technical field, it involves temperature and humidity regulation, air quality management, energy consumption optimization control, intelligent interaction and other aspects. Among them, HVAC and environmental control systems are one of the core applications and are widely used in residential, commercial buildings and industrial sites. The key technologies in this field include environmental parameter sensing, data analysis and modeling, dynamic control strategies and optimal configuration of control execution units. With the development of artificial intelligence, big data and the Internet of Things, intelligent environmental control systems have made significant progress in precise perception, adaptive adjustment and remote monitoring, providing more efficient technical support for the constant regulation of the indoor environment.

[0003] Among them, the intelligent radiant heating and cooling five-constant system refers to a system based on the principle of radiation heat exchange, which regulates the internal temperature of the building through the circulation of hot and cold water, and combines the fresh air system to regulate humidity and air quality, and uses intelligent control methods to achieve a dynamic balance of indoor temperature, humidity, oxygen content, cleanliness and noise level. The system adopts high-efficiency heat exchange materials and distributed temperature control technology, with the ceiling or ground as the radiation end, and collects indoor and outdoor temperature and humidity data through the intelligent sensing system, and uses refined flow control strategies to adjust the circulation rate of hot and cold water to ensure the temperature balance of the space. The system integrates intelligent fresh air management based on air quality sensing to achieve directional air flow and humidity optimization regulation, combined with low-noise operation design to improve environmental comfort. The intelligent control algorithm adaptively adjusts system parameters based on data analysis to ensure independent regulation of different areas and overall energy-saving optimization, and achieves efficient environmental management.

[0004] The existing technology has certain limitations in the degree of refinement of environmental control. Temperature and humidity regulation relies on single sensor data, and it is impossible to achieve accurate matching of regional temperature differences, resulting in uneven hot and cold in local areas, affecting overall comfort. The hydraulic balance regulation method lacks optimization means for dynamic adjustment of hot and cold water flow, resulting in insufficient heating or cooling in some pipelines, affecting the balance of hot and cold transmission. Humidity control is limited to a single fresh air system adjustment strategy, and fails to fully combine indoor humidity fluctuations for precise regulation, which easily causes local air dryness or excessive humidity. The matching of cold and heat sources mainly relies on fixed adjustment modes, and fails to fully consider the real-time changes of indoor loads, resulting in excess or insufficient hot and cold supply, affecting overall energy efficiency. Noise and vibration control mainly relies on traditional noise reduction materials and fixed shock-absorbing devices, and cannot achieve dynamic optimization of pipeline flow velocity and vibration changes. It is difficult to take into account both operational stability and quiet effects, which limits the adaptive adjustment ability of existing technologies under complex environmental conditions and affects the comfort and energy efficiency performance of the system. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent radiation cooling and heating five-constant system and a remote monitoring method.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an intelligent radiant cooling and heating five-constant system comprises: Based on the temperature data of differentiated indoor areas, the radiation terminal control module analyzes the heat transfer of the wall, floor, and ceiling, evaluates the trend of regional temperature changes, determines the indoor heat distribution, adjusts the heat exchange state of the plate, matches the differentiated space temperature requirements, adjusts the radiation terminal power output, and obtains the indoor temperature distribution state; The hydraulic balance adjustment module extracts the hydraulic pipeline monitoring data based on the indoor temperature distribution state, analyzes the flow of cold and hot fluids in the differentiated pipelines, identifies the hydraulic balance state, adjusts the operation rhythm of the variable frequency water pump, and obtains the hydraulic dynamic balance data set; The fresh air humidity control module extracts air quality monitoring data based on the hydraulic dynamic balance data set, analyzes humidity change trends, identifies spatial humidity fluctuations, adjusts the dehumidification and humidification capabilities of the fresh air humidity control unit, determines ventilation needs, adjusts the fresh air supply mode, and obtains air humidity control status; Based on the air humidity control state, the cold and heat source matching module extracts the cold and heat source operation data and the outdoor temperature monitoring data, analyzes the current ambient temperature trend, evaluates the matching of the cold and heat sources to the indoor heat load, adjusts the cold and heat output ratio, and obtains the cold and heat supply adjustment plan.

[0007] As a further solution of the present invention, the indoor temperature distribution state includes temperature gradient, hot and cold area division, and heat exchange balance; the hydraulic dynamic balance data set includes flow distribution ratio, pressure stability, and hot and cold water ratio; the air humidity control state includes humidity uniformity, ventilation intensity, and air quality parameters; the hot and cold supply adjustment scheme includes hot and cold load matching, energy utilization efficiency, and output power ratio.

[0008] As a further solution of the present invention, the radiation terminal control module includes: The heat transfer calculation submodule identifies the heat conduction rate based on the temperature data of differentiated areas in the room, including the temperature data of the wall, floor, and ceiling, and uses the formula based on the thermal conductivity of the material and the temperature gradient: ; Calculate the indoor heat distribution rate; in, represents the indoor heat distribution rate, Representative The thermal conductivity of the surface, Representative The heated area of ​​the surface, Representative The surface temperature, Representative The external temperature of the surface, Representative The thickness of the surface, represents the total number of surfaces; The spatial temperature trend assessment submodule monitors the regional temperature change based on the indoor heat distribution rate, identifies the temperature change rate during differentiated time periods, assesses the heat transfer trend according to the temperature gradient, and obtains the regional temperature change trend; The radiation terminal power regulation submodule calls the temperature change trend of the area, determines the heat balance state of the space, adjusts the heat exchange mode of the radiation terminal, matches the space temperature requirement, and obtains the indoor temperature distribution state.

[0009] As a further solution of the present invention, the hydraulic balance adjustment module includes: The pipeline fluid monitoring submodule collects the temperature, flow rate and pressure values ​​of the cold and hot fluids at the pipeline nodes based on the indoor temperature distribution state and the hydraulic pipeline monitoring data, determines the flow deviation of the cold and hot fluids in the distribution area, and obtains the flow deviation trend of the cold and hot fluids; The hydraulic balance identification submodule compares the flow velocity balance of the cold and hot fluids in each branch pipeline based on the flow deviation trend of the cold and hot fluids, and identifies the flow deviation of the cold and hot fluids using the formula: ; Calculate the balance of hot and cold fluid flow, determine the balance of hot and cold distribution of hydraulics, and obtain the hydraulic balance state parameters; in, represents the balance of hot and cold fluid flow, represents the flow rate of the cold fluid in the jth pipeline, represents the flow rate of the hot fluid in the jth pipeline, represents the diameter of the jth pipeline, Indicates the total number of pipelines; The variable frequency water pump control submodule adjusts the operating rhythm of the variable frequency water pump based on the hydraulic balance state parameters, dynamically adjusts the supply of cold and hot water, optimizes water temperature distribution, identifies the flow rate change ratio of the cold and hot fluids after adjustment, and obtains a hydraulic dynamic balance data set.

[0010] As a further solution of the present invention, the fresh air humidity control module includes: The air quality monitoring submodule extracts air quality monitoring data based on the hydraulic dynamic balance data set, collects humidity values ​​and carbon dioxide concentration data, analyzes humidity change trends, evaluates humidity fluctuation amplitudes, identifies spatial humidity fluctuations, and obtains spatial humidity fluctuation parameters; The humidity adjustment submodule determines the humidity adjustment requirement based on the spatial humidity fluctuation parameter, using the formula: ; Adjust the dehumidification and humidification capacity of the fresh air humidity control unit to obtain the humidity control value; in, Represents the humidity control value, Representative The humidity value at the moment, Representative The humidity value at the moment, Represents the total monitoring time. represents the current carbon dioxide concentration, Represents the humidity setting value, Represents the maximum control capability value; The fresh air supply control submodule identifies the fresh air supply demand according to the humidity control value and combines the carbon dioxide concentration data, adjusts the fresh air supply mode, and obtains the air humidity control state.

[0011] As a further solution of the present invention, the cold and hot source matching module includes: The ambient temperature trend analysis submodule extracts outdoor temperature monitoring data based on the air humidity control state, extracts temperature changes at multiple time nodes, identifies the temperature increment within the time interval, determines the direction of temperature change, and obtains the ambient temperature change rate; The cold and heat matching evaluation submodule calls the ambient temperature change rate and the cold and heat source operation data, analyzes the cold and heat output rate of the cold and heat source in the current environment, and obtains the cold and heat source matching degree in combination with the indoor heat load; The cold and hot supply adjustment submodule calls the cold and hot source matching degree and adopts the formula according to the output capacity of the air source heat pump: ; Calculate the cold and hot source adjustment factors, adjust the cold and hot output according to the cold and hot source load status, and obtain the cold and hot supply adjustment plan; in, represents the cold and heat source adjustment factor, Represents the matching degree of cold and hot sources, Represents the heating capacity of the air source heat pump, represents the load state coefficient of the cold and hot sources, Represents the cooling capacity of the air source heat pump, represents the ambient temperature, Represents the target indoor temperature.

[0012] As a further solution of the present invention, the system also includes a noise and vibration suppression module: The noise and vibration suppression module extracts the hydraulic noise monitoring data based on the cooling and heating supply adjustment scheme, analyzes the influence of pipeline flow velocity on noise, adjusts the hydraulic flow velocity control mode, combines the vibration monitoring data, identifies the vibration absorption demand, adjusts the configuration of the shock absorbing device at the ground radiation terminal, and obtains the comfort control result of the radiant cooling and heating environment; The radiant cooling and heating environment comfort control results include hydraulic noise level, vibration suppression effect, and ground temperature stability.

[0013] As a further solution of the present invention, the noise and vibration suppression module includes: The hydraulic noise monitoring submodule extracts the noise monitoring data of the hydraulic flow in the pipeline based on the cold and hot supply regulation scheme, analyzes the noise change trend, identifies the noise spectrum characteristics, screens the key noise sources, compares the noise intensity of the differentiated pipe sections, and obtains the key noise distribution characteristics; The flow rate control optimization submodule analyzes the correlation between flow rate and noise intensity based on the key noise distribution characteristics, identifies the noise change under differentiated flow rate conditions, and uses the formula: ; Calculate the influence coefficient of flow velocity on noise, select the matching flow velocity control mode, and obtain the adjusted hydraulic flow velocity adjustment parameters; in, Represents the influence coefficient of flow velocity on noise, and Represent the flow rate and pressure of the pipeline at both ends respectively, and Respectively represent the noise transmission intensity of the corresponding pipe section, represents the flow rate regulation influencing factor, Representative The noise attenuation rate of each pipe section, Represents the total length of the pipeline, Indicates the total number of pipe segments; The vibration absorption adjustment submodule analyzes the vibration characteristics of the ground radiation terminal based on the adjusted hydraulic flow rate adjustment parameters, extracts the vibration amplitude, frequency and energy transfer path, identifies the vibration absorption requirements, adjusts the shock absorbing device configuration parameters, and obtains the comfort control results of the radiant cooling and heating environment.

[0014] The intelligent radiant cooling and heating five-constant remote monitoring method is based on the above-mentioned intelligent radiant cooling and heating five-constant system and includes the following steps: S1: Based on the temperature data of differentiated indoor areas, extract the operation data of the radiation terminal adjustment device, identify the heat transfer of the wall, floor and ceiling, extract the regional temperature change trend data, compare the regional temperature gradient, judge the heat distribution of the space, adjust the heat exchange state of the plate, match the differentiated regional temperature requirements, adjust the radiation terminal power output, and obtain the regional temperature distribution state; S2: Based on the temperature distribution state of the area, extract the monitoring data of the hydraulic pipelines for hot and cold water circulation, identify the flow rates of the hot and cold fluids, analyze the flow directions of the hot and cold fluids, adjust the operating frequency of the variable frequency water pump, and obtain the hydraulic dynamic balance data; S3: Based on the hydraulic dynamic balance data, extract the air quality monitoring data of the five constant remote monitoring of cooling and heating, calculate the humidity change rate, call the fresh air humidity control unit, adjust the fresh air supply mode, and obtain the air humidity control state; S4: Based on the air humidity control state, extract the cold and heat source management data, identify the cold and heat source loads, analyze the ambient temperature trend, adjust the cold and heat output ratio, and obtain the cold and heat supply adjustment plan; S5: Based on the cooling and heating supply regulation scheme, extract the hydraulic noise monitoring data, analyze the impact of flow velocity on noise, adjust the flow velocity control parameters, adjust the ground radiation terminal shock absorption device, and obtain the radiant cooling and heating environment comfort regulation results.

[0015] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, through the precise collection and analysis of differentiated regional temperature data, the indoor heat distribution is dynamically evaluated, the heat exchange strategy is optimized, the precise matching of space temperature is achieved, the responsiveness of indoor temperature control is improved, and the hydraulic balance is optimized based on the dynamic adjustment of the fluid flow state to ensure the reasonable distribution of hot and cold water in different areas, reduce heat loss, and improve energy utilization efficiency. Through the in-depth analysis of air quality monitoring data and the precise identification of humidity change trends, the dehumidification and humidification capabilities of the fresh air system are optimized to improve the accuracy of air humidity regulation. The output capacity of the cold and heat sources is dynamically adapted according to the changes in the environmental heat load to improve the matching degree of the cold and heat supply and achieve optimal configuration of energy consumption. Based on the comprehensive analysis of pipeline flow velocity and vibration monitoring, the hydraulic flow velocity control mode is adjusted, the vibration suppression strategy is optimized, the overall operation quiet effect is improved, and the environmental comfort is enhanced. The comprehensive utilization of multi-dimensional data enables the system to be accurately adjusted according to the dynamic changes of the indoor environment to ensure independent control of different areas and achieve more efficient environmental regulation and energy consumption optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a system flow chart of the present invention; Figure 2 This is a flow chart of the radiation terminal control module in the present invention; Figure 3 This is a flow chart of the hydraulic balance adjustment module in the present invention; Figure 4 This is a flow chart of the fresh air humidity control module in the present invention; Figure 5 This is a flow chart of the cold and heat source matching module in the present invention; Figure 6 This is a flow chart of the noise and vibration suppression module in the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0019] See also Figure 1 The present invention provides a technical solution: an intelligent radiation cooling and heating five-constant system comprising: Based on the temperature data of differentiated indoor areas, the radiation terminal control module calls the radiation terminal adjustment device to analyze the heat transfer of the wall, floor, and ceiling, evaluate the regional temperature change trend, determine the indoor heat distribution state, adjust the plate heat exchange state, match the differentiated space temperature requirements, adjust the radiation terminal power output, and obtain the indoor temperature distribution state; The hydraulic balance adjustment module extracts hydraulic pipeline monitoring data based on the indoor temperature distribution, analyzes the flow of cold and hot fluids in differentiated pipelines, identifies the hydraulic balance status, adjusts the operation rhythm of the variable frequency water pump according to the fluid flow status, optimizes the water temperature distribution, and obtains the hydraulic dynamic balance data set; The fresh air humidity control module is based on the hydraulic dynamic balance data set, extracts air quality monitoring data, analyzes humidity change trends, identifies spatial humidity fluctuations, adjusts the dehumidification and humidification capabilities of the fresh air humidity control unit, and combines carbon dioxide concentration detection data to determine ventilation needs, adjust the fresh air supply mode, and obtain air humidity control status; The cold and hot source matching module extracts the cold and hot source operation data and outdoor temperature monitoring data based on the air humidity control state, analyzes the current ambient temperature trend, evaluates the matching of the cold and hot sources to the indoor heat load, matches the output capacity of the air source heat pump, adjusts the cold and hot output ratio, and obtains the cold and hot supply adjustment plan; The noise and vibration suppression module is based on the cold and hot supply adjustment plan, extracts the hydraulic noise monitoring data, analyzes the impact of pipeline flow velocity on noise, adjusts the hydraulic flow velocity control method, combines the vibration monitoring data, identifies the vibration absorption demand, adjusts the shock-absorbing device configuration at the ground radiation end, and obtains the comfort control results of the radiant cold and warm environment.

[0020] The indoor temperature distribution status includes temperature gradient, hot and cold area division, and heat exchange balance. The hydraulic dynamic balance data set includes flow distribution ratio, pressure stability, and hot and cold water ratio. The air humidity control status includes humidity uniformity, ventilation intensity, and air quality parameters. The hot and cold supply adjustment plan includes hot and cold load matching, energy utilization efficiency, and output power ratio. The radiant cold and warm environment comfort control results include hydraulic noise level, vibration suppression effect, and ground temperature stability.

[0021] See also Figure 2 , the radiation terminal control module includes: The heat transfer calculation submodule identifies the heat conduction rate based on the temperature data of differentiated areas in the room, including the temperature data of the wall, floor, and ceiling, and uses the formula based on the thermal conductivity of the material and the temperature gradient: ; Calculate the indoor heat distribution rate; in, represents the indoor heat distribution rate, Representative The thermal conductivity of the surface, Representative The heated area of ​​the surface, Representative The surface temperature, Representative The external temperature of the surface, Representative The thickness of the surface, represents the total number of surfaces; Surface refers to the indoor wall, floor, and ceiling, and external temperature refers to the outdoor temperature; First, you need to set the location of the measuring point to ensure the comprehensiveness and representativeness of the data. For example, in an office building, you can choose to set a measuring point in the middle of the inner and outer walls, near the window, and in the center of the room to capture the overall temperature distribution of the room. The temperature data is collected by installing temperature sensors (such as thermocouples or infrared thermometers) at each measuring point, and the data is recorded at one-minute intervals to obtain real-time temperature information of the wall, floor, and ceiling. The data will be used to analyze the heat transfer in subsequent calculations, and by setting the collection intervals of different measuring points, it is ensured that the temperature changes in a short period of time can be accurately captured. Furthermore, according to the material properties of each measuring point, such as thermal conductivity, thickness and other information, the Fourier heat conduction formula is used to calculate the heat transfer of each measuring point. The formula here takes into account the wall thickness, thermal conductivity differences, and temperature differences. Assume that the wall parameters of a room in an office building are as follows: Wall: , , , , ; ground: , , , , ; ceiling: , , , , ; Substituting the values ​​into the formula: ; ; This shows that the total heat transfer rate of the walls, floors and ceilings in the room is 504W, that is, under the current temperature difference and material parameters, the room will transfer 504J of heat per second. The data can be used to further calculate the dynamic changes in indoor temperature and adjust the power of the cooling and heating systems to maintain a comfortable temperature environment.

[0022] The spatial temperature trend assessment submodule monitors regional temperature changes based on the indoor heat distribution rate, identifies the temperature change rate during differentiated periods, evaluates the heat transfer trend based on the temperature gradient, and obtains the regional temperature change trend; The temperature changes in the monitoring area involve further analysis of known heat transfer rate data. Specific temperature monitoring instruments, such as thermal imagers, are used to capture temperature data in different time periods. For example, in a classroom, the temperature can be monitored once in the morning, noon, and afternoon to obtain daily trends. The temperature change rate for each period is further calculated based on the data. By setting a reasonable baseline value, such as considering a temperature change rate greater than 0.5°C / h as a rapid change, this can help determine which areas are more sensitive to heat transfer and external influences. Through detailed calculations and analysis, the temperature trend of the entire space can be evaluated, and ultimately the regional temperature change trend can be obtained.

[0023] The radiation terminal power adjustment submodule calls the regional temperature change trend, determines the heat balance state of the space, adjusts the radiation terminal heat exchange mode, matches the space temperature requirements, and obtains the indoor temperature distribution state; To adjust the power of the radiation terminal, call the previously obtained regional temperature change trend as the basis for adjustment. By adjusting the heat exchange method of the radiation terminal, it can match the actual usage needs of the conference room. If it is detected that the temperature in the conference room rises quickly, the cooling power needs to be increased. On the contrary, if the temperature changes slowly or drops, it is necessary to reduce cooling or increase heating. In this way, the power output of the radiation terminal can be dynamically adjusted to achieve the best temperature distribution state, thereby obtaining the indoor temperature distribution state.

[0024] See also Figure 3 , the hydraulic balance regulation module includes: The pipeline fluid monitoring submodule collects the temperature, flow rate and pressure values ​​of the cold and hot fluids at the pipeline nodes based on the indoor temperature distribution state and the hydraulic pipeline monitoring data, determines the flow deviation of the cold and hot fluids in the distribution area, and obtains the flow deviation trend of the cold and hot fluids; For central air conditioners in large shopping malls, monitoring includes the measurement of temperature, flow rate and pressure. Sensors installed at key nodes collect data in real time. For example, temperature sensors, flow meters and pressure sensors are installed on different floors and key corners to ensure that key parts of the entire system are covered. By collecting data, real-time monitoring and early problem detection can be carried out. For example, if the pressure abnormality on a certain floor indicates a pipe blockage or leakage, the collected data can be analyzed using data analysis software to find out the temperature abnormality or flow rate drop area. By comparing the design parameters and the actual measured values, the specific location that needs adjustment or maintenance can be identified, which can not only maintain the efficient operation of the air conditioner, but also intervene in time before the problem becomes a serious failure, and finally obtain the hot and cold fluid flow deviation trend, which is calculated by comparing the measured temperature, flow rate and pressure values ​​with the preset thresholds.

[0025] The hydraulic balance identification submodule compares the flow velocity balance of the cold and hot fluids in each branch pipeline based on the flow deviation trend of the cold and hot fluids, and identifies the flow deviation of the cold and hot fluids using the formula: ; Calculate the balance of hot and cold fluid flow, determine the balance of hot and cold distribution of hydraulics, and obtain the hydraulic balance state parameters; in, represents the balance of hot and cold fluid flow, represents the flow rate of the cold fluid in the jth pipeline, represents the flow rate of the hot fluid in the jth pipeline, represents the diameter of the jth pipeline, Indicates the total number of pipelines; Evaluate the flow balance of hot and cold fluids in different branch pipelines, call the flow deviation trend of hot and cold fluids, and extract the flow rate of cold fluids in each branch pipeline and thermal fluid flow rate , and obtain the diameter of each pipeline at the same time To determine the flow velocity distribution of cold and hot fluids in each pipeline, for example, in the air conditioning configuration of a commercial building, the cold fluid flow velocity of a branch pipeline is measured to be 0.85m / s, the hot fluid flow velocity is 0.95m / s, and the pipe diameter is If the distance is 0.1m, the difference in flow rate between the cold and hot fluids in the pipeline needs to be calculated, and the flow deviation value of the cold and hot fluids needs to be calculated; Actual calculation: Assuming there are 3 main branch pipelines, the measured flow rate data are as follows: Pipeline 1: m / s, m / s, m; Pipeline 2: m / s, m / s, m; Pipeline 3: m / s, m / s, m; Substitute into the formula to calculate: ; ; Calculate the balance of hot and cold fluid flow is about 1.63, which indicates the balance of hot and cold fluids in the system. The higher the value, the greater the imbalance of the flow rates of the cold and hot fluids, and adjustments are needed. If the hydraulic balance standard threshold is set to 1.50, then the deviation of the flow rates of the cold and hot fluids in the current system exceeds the threshold, and it is necessary to further adjust the pipeline flow rate to optimize the hydraulic balance state, call the flow balance of the cold and hot fluids, and determine whether the distribution of the cold and hot fluids has achieved hydraulic balance. The hydraulic balance state parameters are obtained as the basis for subsequent water pump adjustment.

[0026] The variable frequency water pump control submodule adjusts the operation rhythm of the variable frequency water pump based on the hydraulic balance state parameters, dynamically adjusts the supply of cold and hot water, optimizes the water temperature distribution, identifies the flow rate change ratio of the cold and hot fluids after adjustment, and obtains the hydraulic dynamic balance data set; Adjust the running rhythm of the variable frequency water pump. For the hot and cold water supply system, this means adjusting the speed of the water pump according to the hydraulic balance state parameters to adapt to the changes in demand in different time periods. For example, during the peak hours of office hours, the demand increases, and the increased demand for hot and cold water is met by increasing the running speed of the water pump. Through dynamic data feedback, the water pump speed is adjusted in real time to optimize the flow rate and distribution of hot and cold water, reduce energy consumption and maintain efficiency, and finally calculate the flow rate change ratio of the hot and cold fluids after adjustment. This ratio is calculated by comparing the actual flow rate with the flow rate before adjustment, so as to evaluate the effect of the adjustment and obtain the hydraulic dynamic balance data set, which contains all relevant flow rates, temperatures and effect analysis after adjustment.

[0027] See also Figure 4 , the fresh air humidity control module includes: The air quality monitoring submodule extracts air quality monitoring data based on the hydraulic dynamic balance data set, collects humidity values ​​and carbon dioxide concentration data, analyzes humidity change trends, evaluates humidity fluctuation amplitudes, identifies spatial humidity fluctuations, and obtains spatial humidity fluctuation parameters; By collecting humidity values ​​and carbon dioxide concentration data in the indoor environment, sensors are used to regularly record data points in order to continuously monitor daily fluctuations in humidity. In a smart home, for example, in a smart air conditioner, data is collected by sensors installed in different rooms. The data will be sent to the central processing unit for analysis. The processing unit will calculate the current humidity and carbon dioxide levels and compare the data with the data recorded in the past. By analyzing the data over a period of time, the patterns and anomalies of humidity fluctuations can be identified. If a sudden increase in humidity in a room is detected during the identification process, the cause will be further investigated, such as the exhaust fan in the bathroom is not turned on after use, or a large amount of water vapor is generated in the kitchen during cooking. It can not only monitor air quality, but also provide specific suggestions or automatically adjust equipment settings to improve air quality. During the monitoring process, the data is compared with the set humidity and carbon dioxide thresholds. If the data exceeds the threshold, an alarm will be issued or the air purification system will be automatically started to obtain the space humidity fluctuation parameters.

[0028] The humidity adjustment submodule determines the humidity adjustment requirements based on the spatial humidity fluctuation parameters using the formula: ; Adjust the dehumidification and humidification capacity of the fresh air humidity control unit to obtain the humidity control value; in, Represents the humidity control value, Representative The humidity value at the moment, Representative The humidity value at the moment, Represents the total monitoring time. represents the current carbon dioxide concentration, Represents the humidity setting value, Represents the maximum control capability value; To optimize humidity control, first calculate the required dehumidification or humidification capacity. Assume that the humidity measurement cycle of a conference room in a commercial building is 6 hours, and the humidity data is measured once every hour. ; Humidity reading (%): ; Carbon dioxide concentration (ppm): ; Set target humidity (%): ; Maximum control capability of the equipment (%): ; Calculate the absolute and total changes in humidity fluctuations: ; Calculate the square root of the change in humidity: ; Calculate the influence factor of carbon dioxide concentration: ; Calculate the CO2-corrected humidification or dehumidification: ; Calculate the final humidity control value: ; The final calculated humidity control value %, indicating that the current humidity adjustment demand of the room exceeds the maximum humidification or dehumidification capacity of 10%, indicating that the humidity changes greatly and requires additional strategies to compensate. In practical applications, this result can be used for the regulation of intelligent air conditioning or fresh air systems. For example, in this case, the carbon dioxide level in the conference room is high and the humidity changes greatly. The intelligent system should give priority to increasing the supply of fresh air and cooperate with the operation of the dehumidification equipment to ensure that the humidity returns to the target range. If the humidity fluctuates greatly for several consecutive hours, consider whether it is necessary to adjust the air conditioning mode, such as lowering the supply air temperature or adjusting the wind speed, to optimize the humidity stability and finally obtain the humidity control value.

[0029] The fresh air supply control submodule identifies the fresh air supply demand based on the humidity control value and combines the carbon dioxide concentration data, adjusts the fresh air supply mode, and obtains the air humidity control status; Comprehensive humidity control value and carbon dioxide concentration data, accurately adjust the fresh air supply mode to ensure that indoor air quality meets health standards, analyze the real-time data of these two parameters, and determine whether it is necessary to increase the supply of fresh air or adjust the existing air circulation mode. For example, in an automated library, when the carbon dioxide concentration rises and the humidity is unstable, the fresh air supply will be automatically increased to dilute indoor pollutants and adjust the humidity. The supply of fresh air is adjusted not only based on the actual measurement value of carbon dioxide, but also takes into account changes in the flow of people. For example, the library will have more visitors during the exam season or holidays. The fresh air volume is adjusted to adapt to different usage needs. Ultimately, the optimal balance between indoor humidity and fresh air is achieved through intelligent control, the air humidity control status is obtained, and continuous environmental monitoring and automatic adjustment functions are provided to ensure that all areas can meet the best air quality standards.

[0030] See also Figure 5 , the cold and hot source matching module includes: The ambient temperature trend analysis submodule extracts outdoor temperature monitoring data based on the air humidity control state, extracts temperature changes at multiple time nodes, identifies the temperature increment within the time interval, determines the direction of temperature change, and obtains the ambient temperature change rate; Extract temperature change data at multiple time nodes and calculate the temperature increment within the time interval. For example, in a typical commercial building scenario, monitoring data shows that the temperature gradually rises from 8 am to 2 pm. Based on the data points, linear regression analysis can be used to determine the trend of temperature change, and then estimate the temperature trend in the next few hours. The data analysis involved in the steps not only needs to consider the temperature value at the time point, but also pay attention to the periodic impact of daily changes. The temperature change rate calculated by this method can help predict the next energy consumption demand and heating and cooling adjustment strategies, and determine the direction of temperature change. According to the calculated temperature change rate, this value is the degree of temperature change per hour, which can be verified by actual data. For example, the temperature difference between the morning peak and the afternoon on a certain day is divided by time to get the ambient temperature change rate.

[0031] The cold and heat matching evaluation submodule calls the ambient temperature change rate and cold and heat source operation data, analyzes the cold and heat output rate of the cold and heat sources in the current environment, and obtains the cold and heat source matching degree in combination with the indoor heat load; Calculate the heat and cold output rate of the heat and cold source in the current environment. In a cooling operation and maintenance management scenario, adjust the output of the heat and cold source according to the temperature change rate obtained from sensors and monitoring tools. For example, if the ambient temperature rise rate is higher than the set threshold, increase the cooling output to maintain the indoor temperature stable. The heat and cold source operation data involved here include the current working status of the heat and cold source and the energy consumption record in the past period of time. Calculate the current heat and cold output demand, and combine it with the indoor heat load. By comparing the calculated heat and cold source matching, for example, by comparing the actual heat and cold demand with the capacity, it can be determined whether it is overloaded or underutilized, thereby obtaining the heat and cold source matching.

[0032] The cold and hot supply regulation submodule calls the cold and hot source matching degree, and uses the formula according to the output capacity of the air source heat pump: ; Calculate the cold and hot source adjustment factors, adjust the cold and hot output according to the cold and hot source load status, and obtain the cold and hot supply adjustment plan; in, represents the cold and heat source adjustment factor, Represents the matching degree of cold and hot sources, Represents the heating capacity of the air source heat pump, represents the load state coefficient of the cold and hot sources, Represents the cooling capacity of the air source heat pump, represents the ambient temperature, represents the target indoor temperature; Based on the output capacity of the air source heat pump, for example, in the temperature control of a factory, the cooling and heating output ratio is adjusted according to the working heat load of the production line and the external ambient temperature to achieve energy saving. Indicates the degree of hot and cold matching actually monitored. and They represent the heating and cooling capacities of the heat pump obtained from energy management, and the parameters are substituted into the calculation formula of the cold and heat source adjustment factor. Perform specific operations; Set the parameters as follows: , indicating that the cold and hot matching degree is 75%, indicating that the output capacity of the heat pump is close to the actual demand, but there is still room for optimization; The unit is KW, which indicates the heating capacity of the heat pump; The unit is KW, which indicates the cooling capacity of the heat pump; , represents the cooling and heating load state adjustment factor, which is slightly higher than 1, indicating that the cooling output needs to be increased on hotter days; degrees, indicating the external ambient temperature, which is a hot day; Degrees is the target temperature set indoors; Substituting the values ​​into the formula: ; The calculated cold and heat source adjustment factor is 27.375. This value means that under the current external temperature and indoor set temperature difference conditions, the output capacity needs to be increased to meet the cooling demand in order to keep the indoor temperature stable. Under high external temperature and low indoor temperature setting, the heat pump needs to significantly increase the cooling output to maintain the comfort of the internal environment. This adjustment is dynamically calculated based on the actual temperature difference and equipment capacity to ensure the efficiency and effectiveness of energy use. It is critical to maintain the stability of the production environment, accurately control the temperature, reduce energy waste, and adapt to changing environmental conditions.

[0033] See also Figure 6 , the noise and vibration suppression module includes: The hydraulic noise monitoring submodule extracts the noise monitoring data of hydraulic flow in the pipeline based on the cold and hot supply adjustment scheme, analyzes the noise change trend, identifies the noise spectrum characteristics, screens the key noise sources, compares the noise intensity of differentiated pipe sections, and obtains the key noise distribution characteristics; By extracting the hydraulic flow noise monitoring data in the pipeline, such as noise intensity, frequency and propagation path, the central air-conditioning in large shopping malls is analyzed to determine its noise distribution. For example, by comparing the noise data of different shopping mall areas (such as food areas and clothing areas), the noise spectrum characteristics are calculated. This process involves sorting the measured noise data according to frequency distribution and using peak analysis to identify key frequency bands, thereby screening out the main noise sources. By comparing the noise intensity of different pipe sections, key noise concentration areas such as air-conditioning rooms or areas near large equipment are obtained, which provides a basis for further noise control and ultimately obtains key noise distribution characteristics.

[0034] The flow rate control optimization submodule analyzes the correlation between flow rate and noise intensity based on key noise distribution characteristics, identifies the noise change under differentiated flow rate conditions, and uses the formula: ; Calculate the influence coefficient of flow velocity on noise, select the matching flow velocity control mode, and obtain the adjusted hydraulic flow velocity adjustment parameters; in, Represents the influence coefficient of flow velocity on noise, and Represent the flow rate and pressure of the pipeline at both ends respectively, and Respectively represent the noise transmission intensity of the corresponding pipe section, represents the flow rate regulation influencing factor, Representative The noise attenuation rate of each pipe section, Represents the total length of the pipeline, Indicates the total number of pipe segments; First, obtain the flow rate and pressure data at both ends of the water pipe. Assume that the pressure at the inlet is psi, outlet pressure is psi, the pressure data is monitored in real time by sensors installed at the inlet and outlet of the pipeline to detect the noise transmission intensity. Assuming that the noise intensity of pipe section 1 is dB, the noise intensity of pipe section 2 is dB, the data is obtained through ultrasonic sensors or noise monitors, and the noise attenuation rate of each pipe section is calculated. By analyzing the noise propagation path, the noise changes in different pipe sections are measured. Assume that the noise attenuation rate of pipe section 1 is , the noise attenuation rate of pipe section 2 is , the data comes from historical monitoring records or experimental measurements, and the flow rate adjustment influencing factors are set , which is determined based on laboratory test results and dynamically updated with the flow rate adjustment strategy. The total length of the pipeline is set to rice; Substitute the above values ​​into the velocity influence coefficient calculation formula: ; ; ; The calculated coefficient of influence of flow rate on noise is 1.559, which indicates the degree to which noise is affected by flow rate regulation under the current flow rate and pressure conditions. If the coefficient exceeds the preset threshold (for example, 2.0), it indicates that the noise is too large and the flow rate control scheme needs to be further adjusted, such as reducing the flow rate or changing the water pump pressure. If the coefficient is lower than the preset threshold (for example, 1.0), it indicates that the noise impact is small and no additional adjustment is required. Based on the calculation results, the hydraulic flow rate regulation parameters are adjusted to keep the noise within a reasonable range, and the adjusted hydraulic flow rate regulation parameters are obtained.

[0035] The vibration absorption adjustment submodule analyzes the vibration characteristics of the ground radiation terminal based on the adjusted hydraulic flow rate adjustment parameters, extracts the vibration amplitude, frequency and energy transfer path, identifies the vibration absorption requirements, adjusts the configuration parameters of the shock absorption device, and obtains the comfort control results of the radiant cooling and heating environment; The vibration characteristics of the ground radiation terminal are analyzed through vibration monitoring data, including vibration amplitude, frequency and energy transfer path. The data is collected through ground and track sensors. For example, by extracting data during peak and non-peak periods, comparing the changes in vibration frequency, and calculating the average and standard deviation of the vibration amplitude, the impact of vibration on radiant cooling and heating is evaluated. In combination with the vibration characteristics and the needs of the five-constant system, the configuration parameters of the shock absorbing device are adjusted, such as selecting appropriate spring and damper configurations, and optimizing the vibration absorption scheme, thereby improving the system's intelligent adjustment capabilities for environmental factors such as temperature and humidity, air quality, and airflow distribution. Through the coordinated optimization of vibration characteristics and environmental comfort, more precise regulation of the five-constant system of radiant cooling and heating can be achieved, thereby improving indoor comfort and energy-saving effects, and obtaining radiant cooling and heating environmental comfort regulation results.

[0036] The intelligent radiant cooling and heating five-constant remote monitoring method is based on the above-mentioned intelligent radiant cooling and heating five-constant system and includes the following steps: S1: Based on the temperature data of differentiated indoor areas, extract the operation data of the radiation terminal adjustment device, identify the heat transfer of the wall, floor and ceiling, extract the regional temperature change trend data, compare the regional temperature gradient, judge the heat distribution of the space, adjust the heat exchange state of the plate, match the differentiated regional temperature requirements, adjust the radiation terminal power output, and obtain the regional temperature distribution state; S2: Based on the regional temperature distribution, extract the monitoring data of the hydraulic pipelines for hot and cold water circulation, identify the flow rates of hot and cold fluids, analyze the flow directions of hot and cold fluids, adjust the operating frequency of the variable frequency water pump, and obtain the hydraulic dynamic balance data; S3: Based on the hydraulic dynamic balance data, extract the air quality monitoring data of the five constant remote monitoring of cooling and heating, calculate the humidity change rate, call the fresh air humidity control unit, adjust the fresh air supply mode, and obtain the air humidity control status; S4: Based on the air humidity control status, extract the cold and heat source management data, identify the cold and heat source loads, analyze the ambient temperature trend, adjust the cold and heat output ratio, and obtain the cold and heat supply adjustment plan; S5: Based on the cold and hot supply regulation scheme, extract the hydraulic noise monitoring data, analyze the impact of flow velocity on noise, adjust the flow velocity control parameters, adjust the ground radiation terminal shock absorption device, and obtain the radiant cold and hot environment comfort regulation results.

[0037] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An intelligent radiant cooling and heating five-constant system, characterized in that: The system comprises: Based on the temperature data of differentiated indoor areas, the radiation terminal control module analyzes the heat transfer of the wall, floor, and ceiling, evaluates the trend of regional temperature changes, determines the indoor heat distribution, adjusts the heat exchange state of the plate, matches the differentiated space temperature requirements, adjusts the radiation terminal power output, and obtains the indoor temperature distribution state; The hydraulic balance adjustment module extracts the hydraulic pipeline monitoring data based on the indoor temperature distribution state, analyzes the flow of cold and hot fluids in the differentiated pipelines, identifies the hydraulic balance state, adjusts the operation rhythm of the variable frequency water pump, and obtains the hydraulic dynamic balance data set; The fresh air humidity control module extracts air quality monitoring data based on the hydraulic dynamic balance data set, analyzes humidity change trends, identifies spatial humidity fluctuations, adjusts the dehumidification and humidification capabilities of the fresh air humidity control unit, determines ventilation needs, adjusts the fresh air supply mode, and obtains air humidity control status; Based on the air humidity control state, the cold and heat source matching module extracts the cold and heat source operation data and the outdoor temperature monitoring data, analyzes the current ambient temperature trend, evaluates the matching of the cold and heat sources to the indoor heat load, adjusts the cold and heat output ratio, and obtains the cold and heat supply adjustment plan.

2. The intelligent radiant cooling and heating five-constant system according to claim 1 is characterized in that: The indoor temperature distribution state includes temperature gradient, hot and cold area division, and heat exchange balance; the hydraulic dynamic balance data set includes flow distribution ratio, pressure stability, and hot and cold water ratio; the air humidity control state includes humidity uniformity, ventilation intensity, and air quality parameters; the hot and cold supply adjustment plan includes hot and cold load matching, energy utilization efficiency, and output power ratio.

3. The intelligent radiant cooling and heating five-constant system according to claim 1 is characterized in that: The radiation terminal control module includes: The heat transfer calculation submodule identifies the heat conduction rate based on the temperature data of differentiated areas in the room, including the temperature data of the wall, floor, and ceiling, and uses the formula based on the thermal conductivity of the material and the temperature gradient: ； Calculate the indoor heat distribution rate; in, represents the indoor heat distribution rate, Representative The thermal conductivity of the surface, Representative The heated area of ​​the surface, Representative The surface temperature, Representative The external temperature of the surface, Representative The thickness of the surface, represents the total number of surfaces; The spatial temperature trend assessment submodule monitors the regional temperature change based on the indoor heat distribution rate, identifies the temperature change rate during differentiated time periods, assesses the heat transfer trend according to the temperature gradient, and obtains the regional temperature change trend; The radiation terminal power regulation submodule calls the temperature change trend of the area, determines the heat balance state of the space, adjusts the heat exchange mode of the radiation terminal, matches the space temperature requirement, and obtains the indoor temperature distribution state.

4. The intelligent radiant cooling and heating five-constant system according to claim 3 is characterized in that: The hydraulic balance adjustment module comprises: The pipeline fluid monitoring submodule collects the temperature, flow rate and pressure values ​​of the cold and hot fluids at the pipeline nodes based on the indoor temperature distribution state and the hydraulic pipeline monitoring data, determines the flow deviation of the cold and hot fluids in the distribution area, and obtains the flow deviation trend of the cold and hot fluids; The hydraulic balance identification submodule compares the flow velocity balance of the cold and hot fluids in each branch pipeline based on the flow deviation trend of the cold and hot fluids, and identifies the flow deviation of the cold and hot fluids using the formula: ； Calculate the balance of hot and cold fluid flow, determine the balance of hot and cold distribution of hydraulics, and obtain the hydraulic balance state parameters; in, represents the balance of hot and cold fluid flow, represents the flow rate of the cold fluid in the jth pipeline, represents the flow rate of the hot fluid in the jth pipeline, represents the diameter of the jth pipeline, Indicates the total number of pipelines; The variable frequency water pump control submodule adjusts the operating rhythm of the variable frequency water pump based on the hydraulic balance state parameters, dynamically adjusts the supply of cold and hot water, optimizes water temperature distribution, identifies the flow rate change ratio of the cold and hot fluids after adjustment, and obtains a hydraulic dynamic balance data set.

5. The intelligent radiant cooling and heating five-constant system according to claim 4 is characterized in that: The fresh air humidity control module comprises: The air quality monitoring submodule extracts air quality monitoring data based on the hydraulic dynamic balance data set, collects humidity values ​​and carbon dioxide concentration data, analyzes humidity change trends, evaluates humidity fluctuation amplitudes, identifies spatial humidity fluctuations, and obtains spatial humidity fluctuation parameters; The humidity adjustment submodule determines the humidity adjustment requirement based on the spatial humidity fluctuation parameter, using the formula: ； Adjust the dehumidification and humidification capacity of the fresh air humidity control unit to obtain the humidity control value; in, Represents the humidity control value, Representative The humidity value at the moment, Representative The humidity value at the moment, Represents the total monitoring time. represents the current carbon dioxide concentration, Represents the humidity setting value, Represents the maximum control capability value; The fresh air supply control submodule identifies the fresh air supply demand according to the humidity control value and combines the carbon dioxide concentration data, adjusts the fresh air supply mode, and obtains the air humidity control state.

6. The intelligent radiant cooling and heating five-constant system according to claim 5 is characterized in that: The cold and hot source matching module comprises: The ambient temperature trend analysis submodule extracts outdoor temperature monitoring data based on the air humidity control state, extracts temperature changes at multiple time nodes, identifies the temperature increment within the time interval, determines the direction of temperature change, and obtains the ambient temperature change rate; The cold and heat matching evaluation submodule calls the ambient temperature change rate and the cold and heat source operation data, analyzes the cold and heat output rate of the cold and heat source in the current environment, and obtains the cold and heat source matching degree in combination with the indoor heat load; The cold and hot supply adjustment submodule calls the cold and hot source matching degree and adopts the formula according to the output capacity of the air source heat pump: ； Calculate the cold and hot source adjustment factors, adjust the cold and hot output according to the cold and hot source load status, and obtain the cold and hot supply adjustment plan; in, represents the cold and heat source adjustment factor, Represents the matching degree of cold and hot sources, Represents the heating capacity of the air source heat pump, represents the load state coefficient of the cold and hot sources, Represents the cooling capacity of the air source heat pump, represents the ambient temperature, Represents the target indoor temperature.

7. The intelligent radiant cooling and heating five-constant system according to claim 1 is characterized in that: The system also includes noise and vibration suppression modules: The noise and vibration suppression module extracts the hydraulic noise monitoring data based on the cooling and heating supply adjustment scheme, analyzes the influence of pipeline flow velocity on noise, adjusts the hydraulic flow velocity control mode, combines the vibration monitoring data, identifies the vibration absorption demand, adjusts the configuration of the shock absorbing device at the ground radiation terminal, and obtains the comfort control result of the radiant cooling and heating environment; The radiant cooling and heating environment comfort control results include hydraulic noise level, vibration suppression effect, and ground temperature stability.

8. The intelligent radiant cooling and heating five-constant system according to claim 7 is characterized in that: The noise and vibration suppression module includes: The hydraulic noise monitoring submodule extracts the noise monitoring data of the hydraulic flow in the pipeline based on the cold and hot supply regulation scheme, analyzes the noise change trend, identifies the noise spectrum characteristics, screens the key noise sources, compares the noise intensity of the differentiated pipe sections, and obtains the key noise distribution characteristics; The flow rate control optimization submodule analyzes the correlation between flow rate and noise intensity based on the key noise distribution characteristics, identifies the noise change under differentiated flow rate conditions, and uses the formula: ； Calculate the influence coefficient of flow velocity on noise, select the matching flow velocity control mode, and obtain the adjusted hydraulic flow velocity adjustment parameters; in, Represents the influence coefficient of flow velocity on noise, and Represent the flow rate and pressure of the pipeline at both ends respectively, and Respectively represent the noise transmission intensity of the corresponding pipe section, represents the flow rate regulation influencing factor, Representative The noise attenuation rate of each pipe section, Represents the total length of the pipeline, Indicates the total number of pipe segments; The vibration absorption adjustment submodule analyzes the vibration characteristics of the ground radiation terminal based on the adjusted hydraulic flow rate adjustment parameters, extracts the vibration amplitude, frequency and energy transfer path, identifies the vibration absorption requirements, adjusts the shock absorbing device configuration parameters, and obtains the comfort control results of the radiant cooling and heating environment.

9. An intelligent radiant cooling and heating five-constant remote monitoring method, characterized in that: The intelligent radiant cooling and heating five-constant system according to any one of claims 1 to 8 comprises the following steps: S1: Based on the temperature data of differentiated indoor areas, extract the operation data of the radiation terminal adjustment device, identify the heat transfer of the wall, floor and ceiling, extract the regional temperature change trend data, compare the regional temperature gradient, judge the heat distribution of the space, adjust the heat exchange state of the plate, match the differentiated regional temperature requirements, adjust the radiation terminal power output, and obtain the regional temperature distribution state; S2: Based on the temperature distribution state of the area, extract the monitoring data of the hydraulic pipelines for hot and cold water circulation, identify the flow rates of the hot and cold fluids, analyze the flow directions of the hot and cold fluids, adjust the operating frequency of the variable frequency water pump, and obtain the hydraulic dynamic balance data; S3: Based on the hydraulic dynamic balance data, extract the air quality monitoring data of the five constant remote monitoring of cooling and heating, calculate the humidity change rate, call the fresh air humidity control unit, adjust the fresh air supply mode, and obtain the air humidity control state; S4: Based on the air humidity control state, extract the cold and heat source management data, identify the cold and heat source loads, analyze the ambient temperature trend, adjust the cold and heat output ratio, and obtain the cold and heat supply adjustment plan; S5: Based on the cooling and heating supply regulation scheme, extract the hydraulic noise monitoring data, analyze the impact of flow velocity on noise, adjust the flow velocity control parameters, adjust the ground radiation terminal shock absorption device, and obtain the radiant cooling and heating environment comfort regulation results.

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