System and method for dynamically regulating and controlling temperature and humidity of environment in hole

Abstract

The invention provides an in-hole environment temperature and humidity dynamic regulation and control system and method, and the system comprises an information collection module which is used for collecting the environment information of different regions inside and outside a hole in real time; the target range setting module is used for presetting target parameters of different areas according to the use scene in the hole; the central control module is used for storing the environment information and the target parameters, and obtaining temperature and humidity prediction results of different areas in the hole by utilizing a pre-constructed in-hole temperature and humidity prediction model according to the environment information; the regulation and control strategy making module is used for comparing the temperature and humidity data of different areas in the current hole in the environment information with target parameters, and making a regulation and control strategy in combination with a temperature and humidity prediction result, the multi-dimensional environment parameters outside the current hole and a control mode association result; the regulation and control instruction execution module is used for converting the regulation and control strategy into a regulation and control instruction and sending the regulation and control instruction to the corresponding air conditioner equipment; and the feedback and optimization module is used for optimizing the in-hole temperature and humidity prediction model according to feedback data and adjusting a regulation and control strategy.

Description

Technical Field

[0001] This invention relates to the field of environmental control technology, and in particular to a dynamic temperature and humidity control system and method for cave environments. Background Technology

[0002] In cave environments (such as underground engineering chambers, cave exhibition halls, and underground warehouses), stable temperature and humidity control is crucial for ensuring the normal operation of facilities, the safety of stored goods, and the comfort of personnel. Currently, temperature and humidity control in caves mainly relies on air conditioning systems. However, traditional air conditioning operation control modes are relatively simple, often using fixed parameters, making it difficult to flexibly adjust according to actual temperature and humidity changes and load fluctuations within the cave, resulting in significant energy waste. Because the cave environment is isolated from the outside atmosphere, its heat and humidity exchange mainly depends on the retaining structure and internal equipment, making temperature and humidity control unique. Traditional control methods often use single temperature and humidity thresholds to trigger equipment start-up and shutdown, which easily leads to the following problems: First, the temperature frequently fluctuates around the control threshold, resulting in poor stability; second, the cooling capacity of the air conditioning equipment does not match the actual load, easily leading to excessive dehumidification and excessively low humidity inside the cave; third, insufficient coordination between the retaining structure and the air conditioning system results in energy waste.

[0003] Existing technologies lack specific design for the characteristics of the cave environment, fail to incorporate key parameters such as dew point temperature into the control logic, and do not establish a dynamic adaptation mechanism between equipment output and load, making it difficult to meet the requirements of the cave environment for temperature and humidity stability and energy saving. Summary of the Invention

[0004] The purpose of this invention is to provide a dynamic temperature and humidity control system and method for cave environments, aiming to solve the above-mentioned problems in the prior art.

[0005] This invention provides a dynamic temperature and humidity control system for cave environments, comprising: The information acquisition module, connected to the central control module and the feedback and optimization module, is used to collect environmental information of different areas inside and outside the cave in real time, and transmit the environmental information to the central control module and the feedback and optimization module. The target range setting module, connected to the central control module, is used to preset target parameters for different areas according to the usage scenario inside the cave, and transmit the target parameters to the central control module; wherein, the target parameters include target temperature range and target humidity range; The central control module is connected to the information acquisition module, target range setting module, control strategy formulation module and feedback and optimization module. It is used to store the environmental information and the target parameters, and to obtain the temperature and humidity prediction results of different areas inside the cave based on the environmental information using a pre-built cave temperature and humidity prediction model. The regulation strategy formulation module is connected to the central control module, the regulation command execution module, and the feedback and optimization module. It is used to compare the temperature and humidity data of different areas inside the cave in the environmental information with the target parameters, and formulate a regulation strategy by combining the temperature and humidity prediction results, the current multi-dimensional environmental parameters outside the cave, and the correlation results of the control mode. The regulation strategy is then sent to the regulation command execution module. The control command execution module is connected to the control strategy formulation module and is used to convert the control strategy into control commands and send them to the corresponding air conditioning equipment to perform corresponding operations. The feedback and optimization module, connected to the information acquisition module, the central control module, and the regulation strategy formulation module, is used to optimize the cave temperature and humidity prediction model and adjust the regulation strategy in real time based on the feedback data from the temperature and humidity sensor.

[0006] This invention provides a method for dynamic control of temperature and humidity in a cave environment, comprising: The information acquisition module collects environmental information in real time from different areas inside and outside the cave, and transmits the environmental information to the central control module and the feedback and optimization module. The target range setting module presets target parameters for different areas based on the usage scenario inside the cave, and transmits the target parameters to the central control module; wherein, the target parameters include target temperature range and target humidity range; The environmental information and target parameters are stored in the central control module, and the temperature and humidity prediction results of different areas inside the cave are obtained by using a pre-built cave temperature and humidity prediction model based on the environmental information. The control strategy formulation module compares the temperature and humidity data of different areas inside the cave with the target parameters in the environmental information, and formulates a control strategy by combining the temperature and humidity prediction results, the current multi-dimensional environmental parameters outside the cave and the correlation results of the control mode, and sends the control strategy to the control command execution module. The control strategy is converted into control commands by the control command execution module and sent to the corresponding air conditioning equipment to perform the corresponding operation. The feedback and optimization module optimizes the cave temperature and humidity prediction model and adjusts the control strategy in real time based on the feedback data from the temperature and humidity sensors.

[0007] This invention also provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the above-described method for dynamic control of temperature and humidity in the cave environment.

[0008] This invention also provides a computer-readable storage medium storing an information transmission implementation program, which, when executed by a processor, implements the steps of the above-described method for dynamic control of temperature and humidity in the cave environment.

[0009] The following beneficial effects can be achieved by adopting the embodiments of the present invention: The embodiments of the present invention propose a dynamic temperature and humidity control system for the cave environment. The system achieves accurate and stable control of temperature and humidity inside the cave by constructing a multi-parameter linkage control model and combining dynamic adaptation of equipment performance with collaborative optimization of the retaining structure. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in one or more embodiments of this specification or in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 This is a schematic diagram of the dynamic temperature and humidity control system for the cave environment according to an embodiment of the present invention; Figure 2 This is a flowchart of the method for dynamic control of temperature and humidity in the cave environment according to an embodiment of the present invention. Detailed Implementation

[0012] To enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the technical solutions in one or more embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this specification, and not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of this document.

[0013] System Implementation Examples According to an embodiment of the present invention, a dynamic temperature and humidity control system for cave environments is provided. Figure 1 This is a schematic diagram of the dynamic temperature and humidity control system for the cave environment according to an embodiment of the present invention, as shown below. Figure 1 As shown, the dynamic temperature and humidity control system for the cave environment according to an embodiment of the present invention specifically includes: The information acquisition module 10 is connected to the central control module and the feedback and optimization module, and is used to collect environmental information of different areas inside and outside the cave in real time, and transmit the environmental information to the central control module and the feedback and optimization module. The environmental information includes historical and current temperature and humidity data for different areas inside the cave, multi-dimensional environmental parameters outside the cave, and distribution and operation data of heat and moisture sources inside the cave. The multi-dimensional environmental parameters outside the cave include temperature, humidity, air pressure, and solar radiation intensity; the heat sources include equipment heat dissipation power, personnel heat dissipation and dynamic distribution; and the moisture sources include operational moisture production, infiltration moisture and real-time status.

[0014] The target range setting module 11 is connected to the central control module and is used to preset target parameters for different areas according to the usage scenario inside the cave, and transmit the target parameters to the central control module; wherein, the target parameters include target temperature range and target humidity range; The central control module 12 is connected to the information acquisition module, target range setting module, control strategy formulation module and feedback and optimization module. It is used to store the environmental information and the target parameters, and to obtain the temperature and humidity prediction results of different areas inside the cave based on the environmental information using a pre-built cave temperature and humidity prediction model. The central control module further includes: The building envelope analysis unit is connected to the air conditioning operation control mode adaptation unit. It is used to obtain the heat transfer characteristic parameters of the building envelope using a heat transfer calculation model based on the optimized building envelope scheme, and send the heat transfer characteristic parameters to the air conditioning operation control mode adaptation unit. An air conditioning operation control mode adaptation unit is connected to the building envelope analysis unit and is used to couple and associate the heat transfer characteristic parameters with the air conditioning operation control mode, and transmit the control mode association result to the regulation strategy formulation module.

[0015] The regulation strategy formulation module 13 is connected to the central control module, the regulation command execution module, and the feedback and optimization module. It is used to compare the temperature and humidity data of different areas inside the cave in the environmental information with the target parameters, and formulate a regulation strategy by combining the temperature and humidity prediction results, the current multi-dimensional environmental parameters outside the cave, and the control mode correlation results. The regulation strategy is then sent to the regulation command execution module. The control strategy includes multi-parameter linkage control logic; wherein, the multi-parameter linkage control logic includes: when the temperature or relative humidity inside the cave exceeds the upper limit of the control target, and the air intake dew point temperature is higher than the preset threshold, the air conditioning equipment is turned on; When the temperature inside the cave is lower than the lower limit of the control target, or the air intake dew point temperature is lower than the preset threshold, the air conditioning equipment shall be turned off.

[0016] The control command execution module 14 is connected to the control strategy formulation module and is used to convert the control strategy into control commands and send them to the corresponding air conditioning equipment to perform corresponding operations. The feedback and optimization module 15 is connected to the information acquisition module, the central control module, and the regulation strategy formulation module. It is used to optimize the cave temperature and humidity prediction model and adjust the regulation strategy in real time based on the feedback data from the temperature and humidity sensor.

[0017] The system further includes: The zoned variable parameter control module is connected to the central control module and is used to divide the cave into multiple temperature and humidity control zones according to the functional requirements of different areas, and to set independent target temperature and humidity parameters and operating strategies for each zone. The dynamic load matching control module is connected to the central control module and is used to monitor the temperature and humidity, number of people and equipment operating status in each area of ​​the cave in real time, and calculate the cooling load, heating load and humidity load in real time, and dynamically adjust the operating status of the air conditioning system according to the calculation results. A regenerative dehumidification and wastewater recovery module is connected to the central control module and is used to recover and reuse the waste heat and wastewater generated during the dehumidification process. The night control module is connected to the central control module and is used to adjust the operating status of the air conditioning system in real time according to the temperature inside the cave at night. The fresh air optimization control module is connected to the central control module and is used to adjust the airflow according to the conditions inside the cave. The fresh air volume is automatically adjusted according to the concentration and humidity.

[0018] The following describes in detail the above-mentioned technical solution of the embodiment of the present invention with reference to the specific situation of the dynamic temperature and humidity control system in the cave environment of the present invention.

[0019] The core of this invention lies in designing control logic with temperature, humidity, and dew point temperature as key parameters. By dynamically correcting the equipment output capacity and limiting the air supply state threshold, it solves the problems of temperature and humidity fluctuations, excessive dehumidification, and excessive energy consumption that are prone to occur in traditional control. It is suitable for temperature and humidity management in various enclosed environments inside caves and has the characteristics of strong universality, high control accuracy, and significant energy-saving effect.

[0020] This invention provides a dynamic temperature and humidity control system for cave environments, comprising: 1. Collection of environmental information inside the cave Multiple temperature and humidity sensors are strategically deployed in different areas inside the cave to collect real-time temperature and humidity values ​​for the corresponding areas and transmit the collected data to the central control system. At the same time, environmental monitoring devices are installed outside the cave to collect environmental parameters such as temperature, humidity, and air pressure, and transmit them to the central control system as well.

[0021] 2. System collaborative operation and monitoring The central control system combines the heat transfer characteristics parameters of the building envelope (pre-calculated based on the optimized envelope design) with the air conditioning operation control mode. Based on historically collected indoor temperature and humidity data, outdoor environmental parameters, and the distribution and operation of heat and humidity sources within the cave, it utilizes big data analysis and machine learning algorithms to establish a cave temperature and humidity prediction model. This model can predict the temperature and humidity trends in different areas of the cave over a future period based on current indoor and outdoor environmental parameters and the real-time status of heat and humidity sources. Specifically, this includes: The central control system first uses the building envelope heat transfer characteristic analysis module to pre-calculate heat transfer characteristic parameters such as heat resistance, vapor permeation resistance, and thermal inertia of the building envelope based on the optimized building envelope scheme (covering the material, thickness, and structural parameters of the base layer, insulation layer, and moisture-proof layer). This is achieved using heat transfer calculation models (such as the composite wall heat transfer coefficient formula and the moisture transfer coupling calculation model). Subsequently, the system constructs an air conditioning operation control mode adaptation unit, coupling these building envelope heat transfer characteristic parameters with the air conditioning operation control mode built based on algorithms such as PID control and fuzzy control. The building envelope optimization includes: ① Composite thermal insulation materials are used: an insulation layer composed of polyurethane insulation board and glass wool board is laid on the inner side of the tunnel wall. The polyurethane insulation board has excellent thermal insulation performance, while the glass wool board can effectively block heat transfer. The combination of the two can significantly reduce the heat exchange between the inside and outside of the tunnel.

[0022] ② Install a moisture-proof layer: Install a polyethylene moisture-proof membrane on the outside of the insulation layer to prevent moisture from outside the tunnel from seeping into the tunnel, and at the same time prevent moisture inside the tunnel from eroding the insulation layer, thus ensuring the long-term insulation performance of the enclosure structure.

[0023] ③ Optimize the opening sealing design: The opening adopts a double-layer sealing door structure, with an air gap between the two doors. The air gap is filled with heat insulation material to reduce air infiltration and heat transfer through the opening; a sealing strip is installed at the connection between the door frame and the wall to further enhance the sealing effect.

[0024] Air conditioning operation control modes include: ①PID Control Mode: PID stands for Proportional, Integral, and Derivative. In air conditioning operation, PID control mode detects the deviation between the actual temperature inside the cave and the set temperature, and adjusts the cooling or heating output of the air conditioner according to the proportional, integral, and derivative components. For example, when the temperature inside the cave is higher than the set temperature, the cooling capacity is increased proportionally according to the magnitude of the deviation. Simultaneously, the integral component eliminates the static deviation, and the derivative component predicts temperature change trends and adjusts the cooling intensity in advance, allowing the temperature inside the cave to quickly and stably approach the set value.

[0025] ② Fuzzy Control Mode: This mode simulates human thinking and does not rely on precise mathematical models. It fuzzifies parameters such as temperature and humidity, dividing them into fuzzy quantities such as "high," "medium," and "low," and then uses pre-set fuzzy rules to reason and make decisions to control the operation of the air conditioner. For example, when the temperature inside the cave is "high" and the humidity is "moderate," the fuzzy control system will automatically select appropriate cooling intensity and fan speed to achieve a comfortable cave environment and adapt to complex and changing environmental conditions.

[0026] ③ Constant Temperature Control Mode: The main goal of this mode is to maintain the temperature inside the cave at a set constant value. The air conditioner will continuously monitor the temperature inside the cave, and when the temperature deviates from the set value, it will automatically adjust the working status of the compressor, the fan speed, etc., so that the temperature can be restored to the set value as soon as possible.

[0027] ④ Energy-saving control mode: While ensuring basic comfort inside the cave, energy consumption is reduced by optimizing the operating parameters of the air conditioning system. For example, the cooling / heating power and operating time of the air conditioning are intelligently adjusted based on factors such as the number of people inside the cave, light intensity, and outside temperature. The cooling capacity is appropriately increased during the day when there is strong sunlight and many people, while the operating power is reduced at night when there are fewer people and the temperature is lower, thus achieving energy saving.

[0028] ⑤ Intelligent control mode: With the help of technologies such as the Internet of Things, big data, and artificial intelligence, the air conditioner can be linked with the intelligent control system to automatically adjust the operating mode based on real-time environmental data inside the cave.

[0029] Simultaneously, the system accesses historical databases to extract long-term collected and stored temperature and humidity data for different areas within the cave (divided by functional and spatial zones), multi-dimensional environmental parameters outside the cave (including temperature, humidity, air pressure, solar radiation intensity, etc.), and historical distribution and operational data of heat sources (such as equipment heat dissipation power, personnel heat dissipation and dynamic distribution) and moisture sources (such as operational moisture production, infiltration moisture and real-time status) within the cave. Based on this multi-source data, after preprocessing using big data analytics techniques (including data cleaning, feature engineering, and cluster analysis), the data is input into machine learning algorithm frameworks (such as LSTM time series prediction models and random forest regression models) to train and establish a cave temperature and humidity prediction model.

[0030] This model possesses real-time dynamic computing capabilities, and during operation, it can synchronously collect environmental parameters inside the cave at the current moment (temperature and humidity, airflow velocity, etc. in each area). The model uses data such as concentration, external environmental parameters (monitored and updated in real time), and instantaneous states of heat and moisture sources (e.g., equipment start / stop status, personnel flow trajectory and number, real-time intensity of moisture-generating operations) to accurately predict hourly temperature and humidity trends in different areas (accurate to sub-zones and local spaces) within the cave for at least 1-12 hours (customizable time span). It outputs prediction results including temperature fluctuation range, humidity peak and trough values, and temperature and humidity change rates, providing a basis for subsequent control strategy formulation.

[0031] Based on the forecast results, the air conditioning operating parameters are adjusted in advance to ensure that the temperature and humidity inside the cave are always within the design requirements. At the same time, the system monitors the operating status, energy consumption, and water consumption data of the air conditioning equipment in real time. When abnormal equipment operation or excessive energy or water consumption is detected, an alarm signal is issued in a timely manner and the operating mode is automatically adjusted.

[0032] 3. Determine the target temperature and humidity range Based on the usage scenarios inside the cave (such as personnel operations, material storage, etc.), the target temperature range and target humidity range for different areas inside the cave are preset and stored in the central control system.

[0033] 4. Formulate control strategies The central control system compares the real-time temperature and humidity values ​​of various areas inside the cave with the corresponding target temperature and humidity ranges. Combining this with the prediction results of the temperature and humidity prediction model and external environmental parameters, it formulates corresponding control strategies. Specifically: When the temperature in a certain area is higher than the upper limit of the target temperature, the corresponding air conditioning cooling unit in that area is activated, and the cooling power is adjusted according to the extent of the temperature exceedance; when the temperature is lower than the lower limit of the target temperature, the air conditioning heating unit is activated, and the heating power is adjusted.

[0034] When the humidity value of a certain area is higher than the target humidity upper limit, the dehumidification device of the corresponding air conditioner in that area is activated, and the dehumidification power is adjusted according to the degree of humidity exceedance; when the humidity value is lower than the target humidity lower limit, the humidification device of the air conditioner is activated, and the humidification power is adjusted.

[0035] Meanwhile, based on the prediction results of the temperature and humidity prediction model, the air conditioning system can be pre-regulated to avoid large fluctuations in temperature and humidity inside the cave. In addition, based on the environmental parameters outside the cave, when the temperature and humidity outside the cave are suitable, air from outside the cave can be appropriately introduced for ventilation to reduce the energy consumption of the air conditioning system.

[0036] 5. Execute control instructions The central control system translates the established control strategies into specific control instructions and sends them to the corresponding air conditioning equipment in each area of ​​the cave. The air conditioning equipment then performs the corresponding cooling, heating, dehumidification, or humidification operations according to the instructions.

[0037] 6. Feedback and optimization of regulation effects During the control process, temperature and humidity sensors continuously collect temperature and humidity data from various areas within the cave and feed it back to the central control system. The central control system compares the feedback data with the target temperature and humidity range. If the control effect is found to be unsatisfactory, the control strategy is adjusted in a timely manner, and the temperature and humidity prediction model is optimized and updated to improve the accuracy and effectiveness of subsequent control.

[0038] Furthermore, the dynamic temperature and humidity control system for the cave environment proposed in this embodiment of the invention can also perform the following: Step 1: Set the target temperature and humidity control range inside the cave and determine the thermal and moisture characteristics parameters of the enclosure structure. The enclosure structure includes a base layer, an insulation layer, and a moisture-proof layer. The insulation layer reduces the heat transfer load, and the moisture-proof layer controls the moisture transfer. Preferably, in this embodiment of the invention, the target control range is a temperature of 15~25 degrees Celsius. The relative humidity is ≤70%; the base layer of the enclosure structure is made of concrete, the thickness of the insulation layer is set according to the thermal environment requirements inside the tunnel, and the moisture-proof layer is made of materials that meet the waterproof rating requirements.

[0039] Step 2: Select an air conditioning unit with an internal circulation mode. The air conditioning unit can dynamically adjust the cooling capacity and dehumidification capacity according to the air intake status. Step 3: Identify the main sources of heat load inside the cave, limit the time period of load action, and ignore the interference of non-dominant loads on the control; Step 4: Real-time collection of air temperature (T), relative humidity (RH), and inlet dew point temperature (Td) inside the cave; calculation of the air conditioning equipment's cooling capacity correction coefficient based on the inlet air condition parameters; and dynamic adjustment of the actual output cooling capacity; wherein, the air conditioning equipment's cooling capacity correction coefficient... The actual output cooling capacity is obtained by the correction curve corresponding to the inlet air temperature and relative humidity. It is the product of the correction coefficient and the nominal cooling capacity. Step 5: Calculate the air outlet status parameters of the air conditioning equipment based on the adjusted cooling capacity. If the air outlet status exceeds the preset threshold, the air outlet status will be forcibly corrected. The preset threshold is the machine dew point status at a specific temperature. When the calculated air outlet temperature is lower than the specific temperature, the air outlet status will be forcibly corrected to the machine dew point status.

[0040] Step 6: Implement start-up, shutdown, and operation adjustment of the air conditioning equipment based on multi-parameter linkage control logic: When the temperature or relative humidity inside the cave exceeds the upper limit of the control target, and the dew point temperature of the incoming air is higher than the preset threshold, the air conditioning equipment will be turned on. When the temperature inside the cave is lower than the lower limit of the control target, or the air intake dew point temperature is lower than the preset threshold, the air conditioning equipment shall be turned off.

[0041] The multi-parameter linkage control logic uses the inlet dew point temperature as one of the core criteria to avoid excessive dehumidification by the air conditioning equipment, which would lead to excessively low humidity in the cave.

[0042] The embodiments of the present invention also include optimization of the air conditioning operation control mode: 1. Zonal Variable Parameter Control: Based on the functional requirements of different areas within the tunnel (such as storage areas, work areas, and passageways), multiple temperature and humidity control zones are established. Each zone is equipped with independent temperature and humidity sensors and air conditioning terminal devices. The central control system sets different target temperature and humidity parameters and operating strategies for each zone based on the real-time temperature and humidity data collected from each zone. For example, the storage area has higher requirements for temperature and humidity accuracy, so a narrower fluctuation range is set; the passageway area has relatively more lenient requirements, so a wider fluctuation range can be set to reduce energy consumption.

[0043] 2. Dynamic Load Matching Control: The central control system monitors parameters such as temperature and humidity, number of personnel, and equipment operating status in real time in various areas within the cave, calculating real-time cooling load, heating load, and humidity load. Based on the calculation results, it automatically adjusts the compressor frequency, fan speed, and operating power of the humidifier and dehumidifier in the air conditioning system to dynamically match the air conditioning output load with the actual load demand within the cave, avoiding energy waste. The calculation methods include: (1) The calculation formula for the load on the building envelope is as follows: ① When there is no condensation: (1); In the formula, Indicates the area of ​​the interior walls of the cave; , These represent the wall temperatures of region 1 and region 2, respectively. This represents the convective heat transfer coefficient of the interior walls of the cave, expressed in units of... ; Indicates the air temperature in the cavern; , These represent the effective area coefficients for regions 1 and 2 (convective heat transfer area of ​​regions 1 and 2 / heat transfer area of ​​the cavity), respectively. ② When condensation occurs: (2); In the formula, , These represent the mass transfer coefficients corresponding to the walls of regions 1 and 2, respectively, in units of... ; , These represent the moisture content corresponding to the wall temperatures of cavern regions 1 and 2, respectively, in units of... ; The latent heat of vaporization of water, expressed in units of ; Indicates the air temperature in the cavern; This indicates the moisture content of the air inside the cave.

[0044] (2) The cooling load generated by the sensible heat dissipation of the human body at the calculated moment can be calculated using the following formula: (3); In the formula, This represents the sensible heat loss of an adult male under different room temperatures and types of work. This indicates the total number of people in the air-conditioned area at the time of calculation (if data is missing, it can be estimated using the per capita area index). This represents the clustering coefficient, which is set to 0.9 in this embodiment of the invention. This represents the sensible heat dissipation cooling load coefficient of the human body. This coefficient depends on the time that people stay indoors, that is, the time from when they enter the room to the time of calculation.

[0045] The cooling load generated by the latent heat dissipation of the human body at any given moment can be calculated using the following formula: (4); In the formula, This indicates the latent heat loss of adult males under different room temperatures and types of work.

[0046] (3) Depending on the type of lighting fixture and the installation method, the cooling load generated by lighting heat dissipation can be calculated using the following formulas: ① Incandescent lamp: (5); ② Fluorescent lamp: (6); In the formula, Indicates the power required by the lighting fixture; This indicates the power consumption coefficient of the ballast for lighting fixtures. When the ballast for a surface-mounted fluorescent lamp is installed in an air-conditioned room, take 1.2; when the ballast for a recessed fluorescent lamp is installed in the ceiling, take 1.0. This indicates the heat insulation coefficient of the lampshade. When the upper part of the fluorescent lampshade has small holes, allowing natural ventilation to dissipate heat into the ceiling, a value of 0.5~0.6 is used; when there are no ventilation holes, a value of 0.6~0.8 is used. The lighting heat dissipation cooling load coefficient is determined based on the operating time of different air conditioning equipment and the lighting time and the number of hours after the lights are turned on, depending on whether the fluorescent lamps are surface-mounted or recessed and whether they are incandescent.

[0047] ③ The cooling load generated by sensible heat dissipation from equipment and appliances can be calculated using the following formula: (7); In the formula, This indicates the actual sensible heat dissipation of the equipment and appliances; This represents the sensible heat dissipation cooling load coefficient of equipment and appliances. If the air conditioning system is not running continuously, take 1.0.

[0048] 3. Regenerative dehumidification and wastewater recycling: A rotary dehumidifier is used for dehumidification. The waste heat generated during the dehumidification process is recovered through a heat exchanger and used to heat fresh air or preheat cold water, thereby improving energy efficiency. The condensate generated during the dehumidification process is collected, filtered and purified, and used for humidification and water replenishment in the air conditioning system or for cleaning water inside the cave, thereby realizing the recycling of water resources and improving water conservation.

[0049] 4. Nighttime Cold / Heat Storage Control: Utilizing off-peak hours during the night, when the temperature inside the cave is below the target upper limit and cooling is required, the air conditioning system is activated to store the cooling energy in cold storage devices (such as cold storage tanks) within the cave. When heating is required inside the cave and the ambient temperature is low at night, electric heating devices or heat pump systems are used to store heat in heat storage devices. During peak hours on the daytime power grid, priority is given to using the cooling or heating energy released by the cold / heat storage devices, reducing the operating time of the air conditioning unit during peak hours and lowering operating costs and energy consumption.

[0050] 5. Fresh air optimization and control: based on the air quality inside the cave... The system automatically adjusts the fresh air volume based on the concentration and humidity levels inside the cave. When the concentration is below the set value and the humidity is within the target range, reduce the amount of fresh air introduced and utilize return air circulation to reduce the air conditioning load; when When the concentration exceeds the standard or the humidity deviates from the target range, the amount of fresh air introduced is increased, and energy is recovered through heat exchange with the return air to reduce the energy consumption of fresh air treatment.

[0051] As can be seen from the above, the system of the present invention has the following beneficial effects: 1. Effective control of temperature and humidity in the tunnel: Through the optimized enclosure structure, the exchange of heat and moisture between the inside and outside of the tunnel is significantly reduced, providing a good foundation for stable temperature and humidity inside the tunnel; combined with optimized air conditioning operation modes such as zoned variable parameter control and dynamic load matching control, it can accurately respond to the temperature and humidity requirements of each area inside the tunnel, ensuring that they remain stable within the design requirements range.

[0052] 2. Improve the energy efficiency of air conditioning equipment: Dynamic load matching control enables the air conditioning output to match the actual demand in real time, avoiding energy waste; nighttime cold / heat storage control makes full use of off-peak electricity prices, reducing operating costs; waste heat recovery from regenerative dehumidification and fresh air heat exchange further improve energy utilization and significantly reduce the energy consumption of the air conditioning system.

[0053] 3. Enhanced water-saving effect: By recycling and reusing the condensate generated during the dehumidification process, the fresh water consumption of the air conditioning system is reduced, the efficiency of water resource utilization is improved, and a good water-saving effect is achieved.

[0054] This invention uses an underground cavern as an example to illustrate the implementation process of this method: The target control levels are set at 15~25℃ and relative humidity ≤70%. The building envelope uses a concrete base layer + insulation layer + secondary moisture-proof layer to reduce heat and moisture transfer load. Air conditioning equipment with internal circulation function is selected, supporting dynamic adjustment of cooling capacity, and the supply air temperature rise is set at 2... ; The dominant load inside the cave was identified as the lighting load, and its operating time was limited to 8:00-22:00, while the load of fresh air and personnel was ignored; Real-time acquisition of intake air temperature and humidity; calculation of correction coefficients using a correction curve; dynamic adjustment of the actual cooling capacity of the equipment; setting the minimum threshold for the outlet air condition to 6. The machine's dew point (relative humidity 90%) is calculated if the outlet air temperature is below 6 degrees Celsius. Force air supply to operate at this threshold level; When the temperature inside the cave is >24 Or relative humidity > 65% and inlet dew point temperature > 6°C When the temperature is below 16 degrees Celsius, turn on the air conditioner; when the temperature is below 16 degrees Cels Or the inlet dew point temperature is ≤6 Turn off the air conditioner when needed.

[0055] Through the above process, the temperature and humidity of the cavern remained stable within the target range, without excessive dehumidification or temperature fluctuations, and energy consumption was reduced by more than 20% compared to traditional methods.

[0056] Method Implementation Examples According to an embodiment of the present invention, a method for dynamic control of temperature and humidity in a cave environment is provided. Figure 2 This is a flowchart of the dynamic temperature and humidity control method for the cave environment according to an embodiment of the present invention, as shown below. Figure 2 As shown, the method for dynamic control of temperature and humidity in a cave according to an embodiment of the present invention specifically includes: Step S201: The environmental information of different areas inside and outside the cave is collected in real time through the information acquisition module, and the environmental information is transmitted to the central control module and the feedback and optimization module. The environmental information includes historical and current temperature and humidity data for different areas inside the cave, multi-dimensional environmental parameters outside the cave, and distribution and operation data of heat and moisture sources inside the cave. The multi-dimensional environmental parameters outside the cave include temperature, humidity, air pressure, and solar radiation intensity; the heat sources include equipment heat dissipation power, personnel heat dissipation and dynamic distribution; and the moisture sources include operational moisture production, infiltration moisture and real-time status.

[0057] Step S202: The target range setting module presets target parameters for different areas according to the usage scenario inside the cave, and transmits the target parameters to the central control module; wherein, the target parameters include target temperature range and target humidity range; Step S203: The environmental information and the target parameters are stored through the central control module, and the temperature and humidity prediction results of different areas inside the cave are obtained by using the pre-built cave temperature and humidity prediction model based on the environmental information. Step S204: The control strategy formulation module compares the temperature and humidity data of different areas inside the cave in the environmental information with the target parameters, and formulates a control strategy by combining the temperature and humidity prediction results, the current multi-dimensional environmental parameters outside the cave and the control mode correlation results, and sends the control strategy to the control command execution module. Step S205: The control strategy is converted into control commands by the control command execution module and sent to the corresponding air conditioning equipment to perform the corresponding operation; Step S206: The feedback and optimization module optimizes the cave temperature and humidity prediction model and adjusts the control strategy in real time based on the feedback data from the temperature and humidity sensor.

[0058] The method further includes: The zoned variable parameter control module divides the cave into multiple temperature and humidity control zones according to the functional requirements of different areas, and sets independent target temperature and humidity parameters and operating strategies for each zone. The dynamic load matching control module monitors the temperature, humidity, number of people, and equipment operating status in each area of ​​the cave in real time, and calculates the cooling load, heating load, and humidity load in real time. Based on the calculation results, the operating status of the air conditioning system is dynamically adjusted. The waste heat and wastewater generated during the dehumidification process are recovered and reused through a regenerative dehumidification and wastewater recovery module. The night control module adjusts the operating status of the air conditioning system in real time according to the temperature inside the cave at night. Based on the fresh air optimization control module, according to the cave... The fresh air volume is automatically adjusted according to the concentration and humidity.

[0059] The embodiments of the present invention are method embodiments corresponding to the system embodiments described above. The specific operations of each step can be understood by referring to the description of the system embodiments, and will not be repeated here.

[0060] In summary, the beneficial effects of the embodiments of the present invention include: 1. High control precision: Through multi-parameter linkage control, the problem of temperature and humidity fluctuation in traditional methods is solved, so that the temperature and humidity inside the cave are stabilized within the target range and the fluctuation amplitude is significantly reduced; 2. Good humidity balance: Dew point temperature is introduced as a control criterion, combined with the air outlet state threshold correction, to avoid excessive dehumidification and ensure that the relative humidity inside the cave is within a reasonable range; 3. Significant energy savings: Through dynamic correction of cooling capacity and refined load management, the ineffective operating time of equipment is reduced, thus reducing energy consumption; 4. High versatility: It does not depend on specific numerical parameters and can be flexibly adjusted according to the scale, load characteristics and control requirements of different tunnel environments, making it suitable for various enclosed tunnel spaces.

[0061] 5. High level of intelligence: The entire control process is automatically completed by the central control system. From data acquisition, model prediction, strategy formulation to command execution and effect optimization, it realizes intelligent closed-loop control, reduces manual intervention, and improves control efficiency.

[0062] Device Example 1 This invention provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, performs the steps described in the method embodiment.

[0063] Device Example 2 This invention provides a computer-readable storage medium storing an information transmission implementation program, which, when executed by a processor, performs the steps described in the method embodiment.

[0064] The computer-readable storage media described in this embodiment include, but are not limited to, ROM, RAM, disk, or optical disk.

[0065] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dynamic temperature and humidity control system for cave environments, characterized in that... include: The information acquisition module, connected to the central control module and the feedback and optimization module, is used to collect environmental information of different areas inside and outside the cave in real time, and transmit the environmental information to the central control module and the feedback and optimization module. The target range setting module, connected to the central control module, is used to preset target parameters for different areas according to the usage scenario inside the cave, and transmit the target parameters to the central control module; wherein, the target parameters include target temperature range and target humidity range; The central control module, connected to the information acquisition module, target range setting module, control strategy formulation module, and feedback and optimization module, is used to store the environmental information and the target parameters, and to obtain the temperature and humidity prediction results of different areas inside the cave based on the environmental information using a pre-built cave temperature and humidity prediction model. The regulation strategy formulation module is connected to the central control module, the regulation command execution module, and the feedback and optimization module. It is used to compare the temperature and humidity data of different areas inside the cave in the environmental information with the target parameters, and formulate a regulation strategy by combining the temperature and humidity prediction results, the current multi-dimensional environmental parameters outside the cave, and the correlation results of the control mode. The regulation strategy is then sent to the regulation command execution module. The control command execution module is connected to the control strategy formulation module and is used to convert the control strategy into control commands and send them to the corresponding air conditioning equipment to perform corresponding operations. The feedback and optimization module, connected to the information acquisition module, the central control module, and the regulation strategy formulation module, is used to optimize the cave temperature and humidity prediction model and adjust the regulation strategy in real time based on the feedback data from the temperature and humidity sensor.

2. The system according to claim 1, characterized in that, The system further includes: The zoned variable parameter control module is connected to the central control module and is used to divide the cave into multiple temperature and humidity control zones according to the functional requirements of different areas, and to set independent target temperature and humidity parameters and operating strategies for each zone. The dynamic load matching control module is connected to the central control module and is used to monitor the temperature and humidity, number of people and equipment operating status in each area of ​​the cave in real time, and calculate the cooling load, heating load and humidity load in real time, and dynamically adjust the operating status of the air conditioning system according to the calculation results. A regenerative dehumidification and wastewater recovery module is connected to the central control module and is used to recover and reuse the waste heat and wastewater generated during the dehumidification process. The night control module is connected to the central control module and is used to adjust the operating status of the air conditioning system in real time according to the temperature inside the cave at night. The fresh air optimization control module is connected to the central control module and is used to adjust the airflow according to the conditions inside the cave. The fresh air volume is automatically adjusted according to the concentration and humidity.

3. The system according to claim 1, characterized in that, The environmental information includes historical and current temperature and humidity data for different areas inside the cave, multi-dimensional environmental parameters outside the cave, and distribution and operation data of heat and moisture sources inside the cave. The multi-dimensional environmental parameters outside the cave include temperature, humidity, air pressure, and solar radiation intensity; the heat sources include equipment heat dissipation power, personnel heat dissipation and dynamic distribution; and the moisture sources include operational moisture production, infiltration moisture and real-time status.

4. The system according to claim 1, characterized in that, The central control module further includes: The building envelope analysis unit is connected to the air conditioning operation control mode adaptation unit. It is used to obtain the heat transfer characteristic parameters of the building envelope using a heat transfer calculation model based on the optimized building envelope scheme, and send the heat transfer characteristic parameters to the air conditioning operation control mode adaptation unit. An air conditioning operation control mode adaptation unit is connected to the building envelope analysis unit and is used to couple and associate the heat transfer characteristic parameters with the air conditioning operation control mode, and transmit the control mode association result to the regulation strategy formulation module.

5. The system according to claim 1, characterized in that, The control strategy includes multi-parameter linkage control logic; wherein, the multi-parameter linkage control logic includes: when the temperature or relative humidity inside the cave exceeds the upper limit of the control target, and the air intake dew point temperature is higher than the preset threshold, the air conditioning equipment is turned on; When the temperature inside the cave is lower than the lower limit of the control target, or the air intake dew point temperature is lower than the preset threshold, the air conditioning equipment shall be turned off.

6. A method for dynamic control of temperature and humidity in a cave environment, characterized in that... include: The information acquisition module collects environmental information in real time from different areas inside and outside the cave, and transmits the environmental information to the central control module and the feedback and optimization module. The target range setting module presets target parameters for different areas based on the usage scenario inside the cave, and transmits the target parameters to the central control module; wherein, the target parameters include target temperature range and target humidity range; The environmental information and target parameters are stored in the central control module, and the temperature and humidity prediction results of different areas inside the cave are obtained by using a pre-built cave temperature and humidity prediction model based on the environmental information. The control strategy formulation module compares the temperature and humidity data of different areas inside the cave with the target parameters in the environmental information, and formulates a control strategy by combining the temperature and humidity prediction results, the current multi-dimensional environmental parameters outside the cave and the correlation results of the control mode, and sends the control strategy to the control command execution module. The control strategy is converted into control commands by the control command execution module and sent to the corresponding air conditioning equipment to perform the corresponding operation. The feedback and optimization module optimizes the cave temperature and humidity prediction model and adjusts the control strategy in real time based on the feedback data from the temperature and humidity sensors.

7. The method according to claim 6, characterized in that, The method further includes: The zoned variable parameter control module divides the cave into multiple temperature and humidity control zones according to the functional requirements of different areas, and sets independent target temperature and humidity parameters and operating strategies for each zone. The dynamic load matching control module monitors the temperature, humidity, number of people, and equipment operating status in each area of ​​the cave in real time, and calculates the cooling load, heating load, and humidity load in real time. Based on the calculation results, the operating status of the air conditioning system is dynamically adjusted. The waste heat and wastewater generated during the dehumidification process are recovered and reused through a regenerative dehumidification and wastewater recovery module. The night control module adjusts the operating status of the air conditioning system in real time according to the temperature inside the cave at night. Based on the fresh air optimization control module, according to the cave... The fresh air volume is automatically adjusted according to the concentration and humidity.

8. The method according to claim 6, characterized in that, The environmental information includes historical and current temperature and humidity data for different areas inside the cave, multi-dimensional environmental parameters outside the cave, and distribution and operation data of heat and moisture sources inside the cave. The multi-dimensional environmental parameters outside the cave include temperature, humidity, air pressure, and solar radiation intensity; the heat sources include equipment heat dissipation power, personnel heat dissipation and dynamic distribution; and the moisture sources include operational moisture production, infiltration moisture and real-time status.

9. An electronic device, characterized in that, include: The system includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method for dynamic control of temperature and humidity in the cave environment as described in any one of claims 6-8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores an information transmission implementation program, which, when executed by a processor, implements the steps of the dynamic temperature and humidity control method for the cave environment as described in any one of claims 6-8.

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