Underground comprehensive pipe gallery fresh air dehumidification intelligent control system and method, electronic equipment and storage medium

Abstract

This invention discloses an intelligent control system, method, electronic device, and storage medium for fresh air dehumidification in underground utility tunnels. The intelligent control system includes a main control module, a sensing module, an air curtain device, a ventilation device, and a dehumidification device. The main control module is connected to the sensing module, air curtain device, ventilation device, and dehumidification device. The sensing module includes at least one first humidity sensor, at least one second humidity sensor, and at least one first temperature sensor. The first humidity sensor senses humidity data outside the underground utility tunnel, the second humidity sensor senses humidity data inside the underground utility tunnel, and the first temperature sensor senses temperature data inside the underground utility tunnel. This invention ensures suitable humidity inside the underground utility tunnel, preventing pipe rust and corrosion, pipeline aging and leakage, extending the service life of various pipelines, improving the safety of inspection personnel, and ensuring stable system operation.

Description

Technical Field

[0001] This invention belongs to the field of environmental control technology, and relates to a ventilation and dehumidification control system, and more particularly to an intelligent control system, method, electronic equipment and storage medium for fresh air dehumidification in underground integrated pipe corridors. Background Technology

[0002] Currently, most underground utility tunnels lack fresh air and dehumidification systems. As a result, over the years, dampness and even condensation frequently occur inside the tunnels. Over time, various pipes will rust and corrode, and various pipelines will age and even leak electricity. In minor cases, the control system will not function properly, and in severe cases, personal accidents may occur. Excessive carbon dioxide concentration may also pose an accidental risk to inspection personnel.

[0003] Existing ventilation and dehumidification solutions for utility tunnels suffer from the problem that humidity increases the longer ventilation is maintained in some work scenarios; they also have slow response times and high energy consumption when all tunnels are turned on simultaneously.

[0004] In view of this, there is an urgent need to design a new intelligent control system for fresh air dehumidification in underground utility tunnels in order to overcome at least some of the aforementioned defects of existing intelligent control systems for fresh air dehumidification in underground utility tunnels. Summary of the Invention

[0005] This invention provides an intelligent control system, method, electronic equipment, and storage medium for fresh air dehumidification in underground utility tunnels. It can ensure suitable humidity in underground utility tunnels, prevent pipe rust and corrosion, pipeline aging and leakage, extend the service life of various pipes, improve the safety of inspection personnel, and ensure stable system operation.

[0006] To solve the above-mentioned technical problems, according to one aspect of the present invention, the following technical solution is adopted: An intelligent control system for fresh air dehumidification in an underground utility tunnel includes: a main control module, a sensing module, an air curtain device, a ventilation device, and a dehumidification device; the main control module is connected to the sensing module, the air curtain device, the ventilation device, and the dehumidification device respectively. The sensing module includes at least one first humidity sensor, at least one second humidity sensor, and at least one first temperature sensor; the first humidity sensor is used to sense humidity data outside the underground utility tunnel, the second humidity sensor is used to sense humidity data inside the underground utility tunnel, and the first temperature sensor is used to sense temperature data inside the underground utility tunnel. The main control module controls the operation of the air curtain device, ventilation device, and dehumidification device based on the humidity data outside the set space sensed by the first humidity sensor. When the humidity data outside the set space exceeds a first threshold, the main control module controls the air curtain device to operate. The air curtain device is installed at the airflow inlet and outlet of the underground utility tunnel to form a vertical isolation air curtain, blocking humid air outside the underground utility tunnel and preventing humid air from flowing back into the underground utility tunnel. The main control module controls the air curtain device to open and controls the dehumidification device to perform dehumidification. When the humidity data outside the underground utility tunnel drops below the first threshold, the main control module controls the air curtain device to close. The main control module controls the operation of the ventilation device and the dehumidification device based on the humidity data in the underground utility tunnel sensed by the second humidity sensor and the temperature data in the underground utility tunnel sensed by the first temperature sensor; when the temperature in the underground utility tunnel exceeds the second threshold or / and the humidity in the underground utility tunnel exceeds the third threshold or / and the air quality in the underground utility tunnel does not meet the standard, the main control module controls the ventilation device to operate.

[0007] In one embodiment of the present invention, the main control module specifically includes: Data acquisition modules are configured in each fire compartment to collect data on indoor temperature and humidity, wall temperature, outdoor temperature and humidity, and rainfall. The edge computing module is used to calculate dew point temperature and humidity based on the collected data; The LSTM prediction module is used to receive historical data sequences and output the predicted moisture content of each zone within a preset time period. The risk assessment module is used to calculate the difference between the predicted dew point temperature and the wall temperature and determine the condensation risk level. The scheduling and control module is used to generate start-stop control commands for fresh air fans and dehumidification equipment in each zone according to the risk level; The execution module includes fresh air fans and dehumidification equipment corresponding to each fire compartment, used to receive and execute control commands.

[0008] As one embodiment of the present invention, the main control module's control logic for the air curtain device includes: real-time acquisition of outdoor ambient humidity, using outdoor humidity as the core trigger condition, and linking the door opening and closing signal to execute start-stop switching; under conditions of excessive outdoor humidity or high humidity, forcibly starting the air curtain machine to form a vertical isolation air curtain, completely blocking outdoor humid air and moisture from flowing back into the pipe gallery; after the air curtain device is opened and the outdoor humidity drops to a normal value, delaying the shutdown of the air curtain machine; supporting local manual and remote forced dual-mode control, with distributed nodes independently acquiring humidity signals and autonomously executing start-stop, resulting in a more sensitive response and adapting to the all-weather moisture protection needs of the pipe gallery.

[0009] The main control module's control logic for the ventilation device includes: adopting dual threshold linkage control for temperature, humidity, and air quality; automatically starting ventilation when the temperature inside the pipe gallery exceeds the standard, the humidity is too high, or the air quality is substandard; delaying shutdown after reaching the set temperature, humidity, and air quality qualification thresholds; supporting timed ventilation, fault alarms, and fault shutdown protection; and independent control of distributed nodes, so that a single unit failure does not affect the operation of other units.

[0010] The main control module's control logic for the dehumidification device includes: using the humidity inside the pipe gallery as the core control parameter, automatically starting dehumidification operation when the humidity exceeds the warning value, and automatically stopping the machine when the humidity drops to the set standard value; it can be linked with the ventilation fan to operate synchronously, improving dehumidification efficiency; it supports all-weather standby, manual start / stop, and remote control of dehumidification parameters; it is distributed and can dehumidify independently in different areas, reducing energy consumption by operating on demand.

[0011] As one embodiment of the present invention, the intelligent control system for fresh air dehumidification in the underground integrated pipe gallery includes a ventilation and dehumidification control mathematical model construction module, which is used to construct a ventilation and dehumidification control mathematical model. The ventilation and dehumidification control mathematical model construction module preprocesses the data in the training dataset; it extracts key features from the preprocessed data; then it combines, statistically analyzes, and groups the extracted key features, standardizes and normalizes the key features to form key feature combinations; the key feature combinations include humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, temperature data inside the underground utility tunnel, working status data of the air curtain device, working status data of the ventilation device, and working status data of the dehumidification device; and a ventilation and dehumidification control mathematical model is constructed based on the formed key feature combinations. The main control module inputs humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, and temperature data inside the underground utility tunnel into the ventilation and dehumidification control mathematical model to obtain the working status data of the air curtain device, ventilation device, and dehumidification device, and uses this data to control the operation of the air curtain device, ventilation device, and dehumidification device.

[0012] As one embodiment of the present invention, the intelligent control system for fresh air dehumidification in the underground integrated pipe gallery further includes: The carbon dioxide content detection module is used to detect the carbon dioxide content in a set area; when the detected carbon dioxide content exceeds the set threshold, it can be determined that the air quality does not meet the standards.

[0013] The carbon monoxide detection module is used to detect the carbon monoxide content in a designated area; when the detected carbon monoxide content exceeds a set threshold, it can be determined that the air quality is substandard. The methane content detection module is used to detect the methane content in a designated area; when the detected methane content exceeds the set threshold, it can be determined that the air quality is substandard.

[0014] According to another aspect of the present invention, the following technical solution is adopted: a control method for the above-mentioned intelligent control system for fresh air dehumidification in underground integrated pipe gallery, the control method comprising: The main control module controls the air curtain device to operate based on the humidity data outside the set space sensed by the first humidity sensor; when the humidity data outside the set space exceeds a first threshold, the main control module controls the air curtain device to operate; the air curtain device is installed at the airflow inlet and outlet of the underground utility tunnel to form a vertical isolation air curtain, blocking the humid air outside the underground utility tunnel and preventing humid air from flowing back into the underground utility tunnel; the main control module controls the air curtain device to open; when the humidity data outside the underground utility tunnel drops below the first threshold, the main control module controls the air curtain device to close. The main control module controls the operation of the ventilation device based on the humidity data in the underground utility tunnel sensed by the second humidity sensor and the temperature data in the underground utility tunnel sensed by the first temperature sensor; when the temperature in the underground utility tunnel exceeds the second threshold or / and the humidity in the underground utility tunnel exceeds the third threshold or / and the air quality in the underground utility tunnel does not meet the standard, the main control module controls the ventilation device to operate.

[0015] As one embodiment of the present invention, the control method specifically includes: S1. Collect real-time data of each fire compartment according to the preset sampling interval, including: air temperature and relative humidity inside the corridor, wall temperature inside the corridor, outdoor air temperature and relative humidity, and cumulative rainfall. S2. Calculate the dew point temperature of the air inside the corridor based on the air temperature and relative humidity inside the corridor, and calculate the dew point temperature of the outdoor air based on the outdoor air temperature and relative humidity. S3. Input the data sequence of each fire compartment within a continuous historical time period into a pre-trained LSTM prediction model. The data sequence includes: humidity inside the corridor, wall temperature, outdoor humidity, cumulative rainfall, and time period identifier corresponding to the sampling time. The LSTM model outputs the predicted value of the air humidity inside the corridor of each fire compartment within a preset time period in the future. S4. Based on the predicted moisture content of each fire compartment, calculate the difference ΔT between the predicted dew point temperature and the wall temperature of each compartment, and determine the condensation risk level: ΔT < T1 is high risk, T1 ≤ ΔT < T2 is medium risk, and ΔT ≥ T2 is low risk, where T1 and T2 are preset thresholds. S5. Sort each fire compartment according to the condensation risk level, prioritize the activation of dehumidification equipment in high-risk compartments, and delay the activation or keep it on standby in medium-risk and low-risk compartments. S6. When the outdoor air dew point temperature is lower than the indoor air dew point temperature and ΔT≥T2, turn on the fresh air fan of the corresponding zone to introduce outdoor fresh air; otherwise, turn off the fresh air fan. S7. Execute the generated start / stop control commands to drive the fresh air fan and / or dehumidification equipment in the corresponding zone to operate.

[0016] As one embodiment of the present invention, in step S3, the input features of the LSTM model also include one or more of the following: the burial depth of the utility tunnel, the azimuth angle of the utility tunnel, and the weather warning level of the day; the LSTM model updates the input data sequence using a sliding window method, with a window length of 24 to 72 hours, a sampling interval of 15 to 60 minutes, and a prediction duration of 2 to 6 hours. In step S5, the specific method of delayed start is as follows: the dehumidification equipment in each zone is started sequentially according to the condensation risk level from high to low, with an interval of Δt time, where Δt is 5 to 15 minutes. Step S6 is followed by: when the cumulative running time of any zone dehumidification equipment reaches a preset value but the moisture content still fails to drop below the safe threshold, an alarm signal is triggered and uploaded to the pipe gallery monitoring platform; The method further includes a seasonal parameter adaptive adjustment step: automatically adjusting the values ​​of the preset thresholds T1 and T2 according to the current month, taking smaller values ​​in summer and larger values ​​in winter.

[0017] As one embodiment of the present invention, the main control module's control logic for the air curtain device includes: real-time acquisition of outdoor ambient humidity, using outdoor humidity as the core trigger condition, and linking the door opening and closing signal to execute start-stop switching; under conditions of excessive outdoor humidity or high humidity, forcibly starting the air curtain machine to form a vertical isolation air curtain, completely blocking outdoor humid air and moisture from flowing back into the pipe gallery; after the air curtain device is opened and the outdoor humidity drops to a normal value, delaying the shutdown of the air curtain machine; supporting local manual and remote forced dual-mode control, with distributed nodes independently acquiring humidity signals and autonomously executing start-stop, resulting in a more sensitive response and adapting to the all-weather moisture protection needs of the pipe gallery.

[0018] The main control module's control logic for the ventilation device includes: adopting dual threshold linkage control for temperature, humidity, and air quality; automatically starting ventilation when the temperature inside the pipe gallery exceeds the standard, the humidity is too high, or the air quality is substandard; delaying shutdown after reaching the set temperature, humidity, and air quality qualification thresholds; supporting timed ventilation, fault alarms, and fault shutdown protection; and independent control of distributed nodes, so that a single unit failure does not affect the operation of other units.

[0019] The main control module's control logic for the dehumidification device includes: using the humidity inside the pipe gallery as the core control parameter, automatically starting dehumidification operation when the humidity exceeds the warning value, and automatically stopping the machine when the humidity drops to the set standard value; it can be linked with the ventilation fan to operate synchronously, improving dehumidification efficiency; it supports all-weather standby, manual start / stop, and remote control of dehumidification parameters; it is distributed and can dehumidify independently in different areas, reducing energy consumption by operating on demand.

[0020] As one embodiment of the present invention, the intelligent control system for fresh air dehumidification in the underground integrated pipe gallery includes a ventilation and dehumidification control mathematical model construction module, which is used to construct a ventilation and dehumidification control mathematical model. The ventilation and dehumidification control mathematical model construction module preprocesses the data in the training dataset; it extracts key features from the preprocessed data; then it combines, statistically analyzes, and groups the extracted key features, standardizes and normalizes the key features to form key feature combinations; the key feature combinations include humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, temperature data inside the underground utility tunnel, working status data of the air curtain device, working status data of the ventilation device, and working status data of the dehumidification device; and a ventilation and dehumidification control mathematical model is constructed based on the formed key feature combinations. The main control module inputs humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, and temperature data inside the underground utility tunnel into the ventilation and dehumidification control mathematical model to obtain the working status data of the air curtain device, ventilation device, and dehumidification device, and uses this data to control the operation of the air curtain device, ventilation device, and dehumidification device.

[0021] As one embodiment of the present invention, the control method further includes: The carbon dioxide content detection procedure involves detecting the carbon dioxide content within a designated area; if the detected carbon dioxide content exceeds a set threshold, it can be determined that the air quality is substandard. The carbon monoxide content detection procedure involves detecting the carbon monoxide content within a designated area; if the detected carbon monoxide content exceeds a set threshold, the air quality is deemed substandard. The methane content detection procedure involves detecting the methane content within a designated area; if the detected methane content exceeds a set threshold, the air quality is deemed substandard.

[0022] According to another aspect of the present invention, the following technical solution is adopted: an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above method.

[0023] According to another aspect of the present invention, the following technical solution is adopted: a storage medium storing computer program instructions thereon, which, when executed by a processor, implement the steps of the above-described method.

[0024] The beneficial effects of this invention are as follows: The intelligent control system, method, electronic equipment, and storage medium for fresh air dehumidification in underground utility tunnels proposed in this invention can ensure suitable humidity within the underground utility tunnels, prevent pipe rust and corrosion, and avoid pipeline aging and leakage, thus extending the service life of various pipes, improving the safety of inspection personnel, and ensuring stable system operation. This invention can also control ventilation based on the carbon dioxide content of the underground utility tunnels to ensure that the air quality meets standards. This invention adds the detection of gases such as carbon dioxide, carbon monoxide, and methane to ensure the safety of inspection personnel (ventilation control can be initiated after abnormal detection).

[0025] The invention can predict condensation and effectively prevent condensation; it can also control zonal temperature range and provide differentiated energy saving; and through LSTM predictive forward control, it can improve response speed, reduce dehumidification energy consumption, and avoid condensation accidents. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the composition of the intelligent control system for fresh air dehumidification in an underground integrated pipe gallery according to one embodiment of the present invention.

[0027] Figure 2 This is a schematic diagram of the composition of the intelligent control system for fresh air dehumidification in an underground integrated pipe gallery according to one embodiment of the present invention.

[0028] Figure 3 This is a schematic diagram of the composition of the intelligent control system for fresh air dehumidification in an underground integrated pipe gallery according to one embodiment of the present invention.

[0029] Figure 4 This is a flowchart of an intelligent control method for fresh air dehumidification in an underground integrated pipe gallery according to an embodiment of the present invention.

[0030] Figure 5 This is a schematic diagram of the composition of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0031] The preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0032] To further understand the present invention, preferred embodiments of the present invention are described below in conjunction with examples. However, it should be understood that these descriptions are only for further illustrating the features and advantages of the present invention, and not for limiting the scope of the claims of the present invention.

[0033] The description in this section pertains to only a few typical embodiments, and the present invention is not limited to the scope of the embodiments described. Substitution of identical or similar prior art methods with some technical features in the embodiments is also within the scope of the description and protection of this invention.

[0034] The steps described in the various embodiments in the specification are for illustrative purposes only, and the implementation of this application is not limited by the order of the steps.

[0035] The term "connection" in the specification includes both direct and indirect connections, such as connections made through active devices, passive devices, or electrical conduction media; it may also include connections made by other active or passive devices that are known to those skilled in the art and can achieve the same or similar functional purpose, such as connections made through circuits or components such as switches or follower circuits.

[0036] This invention discloses an intelligent control system for fresh air dehumidification in underground integrated utility tunnels. Figures 1 to 3 This is a schematic diagram of the composition of an intelligent control system for fresh air dehumidification in an underground integrated utility tunnel according to an embodiment of the present invention; please refer to [link / reference]. Figures 1 to 3 The intelligent control system for fresh air dehumidification in the underground integrated utility tunnel includes: a main control module 1, a sensing module 2, an air curtain device 3, a ventilation device 4, and a dehumidification device 5; the main control module 1 is connected to the sensing module 2, the air curtain device 3, the ventilation device 4, and the dehumidification device 5 respectively. The sensing module 2 includes at least one first humidity sensor, at least one second humidity sensor, and at least one first temperature sensor; the first humidity sensor is used to sense humidity data outside the underground utility tunnel, the second humidity sensor is used to sense humidity data inside the underground utility tunnel, and the first temperature sensor is used to sense temperature data inside the underground utility tunnel. The main control module 1 controls the air curtain device to work based on the humidity data outside the set space sensed by the first humidity sensor; when the humidity data outside the set space exceeds a first threshold, the main control module 1 controls the air curtain device 3 to work; the air curtain device 3 is set at the airflow inlet and outlet of the underground pipe gallery to form a vertical isolation air curtain to block the humid air outside the underground pipe gallery and prevent humid air from flowing back into the underground pipe gallery; the main control module 1 controls the air curtain device to open and controls the dehumidification device to perform dehumidification work; when the humidity data outside the underground pipe gallery drops below the first threshold, the main control module 1 controls the air curtain device 3 to close. The main control module 1 controls the operation of the ventilation device 4 based on the humidity data sensed by the second humidity sensor and the temperature data sensed by the first temperature sensor within the underground utility tunnel. When the temperature within the underground utility tunnel exceeds a second threshold or / and the humidity within the underground utility tunnel exceeds a third threshold or / and the air quality within the underground utility tunnel is substandard, the main control module controls the ventilation device 4 to operate. In one embodiment, whether the air quality meets the standard can be determined by detecting the carbon dioxide content using a carbon dioxide content detection module; when the detected carbon dioxide content exceeds a set threshold, it can be determined that the air quality is substandard.

[0037] In one embodiment of the present invention, the main control module specifically includes: a data acquisition module, an edge computing module, an LSTM prediction module, a risk assessment module, a scheduling control module, and an execution module. The data acquisition module is configured in each fire compartment to collect indoor temperature and humidity, wall temperature, outdoor temperature and humidity, and rainfall. The edge computing module is used to calculate dew point temperature and moisture content based on the collected data. The LSTM prediction module is used to receive historical data sequences and output predicted moisture content values ​​for each compartment within a preset future time period. The risk assessment module is used to calculate the difference between the predicted dew point temperature and the wall temperature and determine the condensation risk level. The scheduling control module is used to generate start / stop control commands for the fresh air fans and dehumidification equipment in each compartment according to the risk level. The execution module includes fresh air fans and dehumidification equipment corresponding to each fire compartment, and is used to receive and execute the control commands.

[0038] In one embodiment of the present invention, the air curtain device prioritizes the execution of isolation and protection logic, and the ventilation device 4 and the dehumidification device 5 are linked and complementary: under high humidity conditions, the dehumidification device 5 operates first, and the ventilation device 4 assists in air exchange; under conditions of high temperature and high humidity superposition, the ventilation device 4 and the dehumidification device 5 operate synchronously; the system collects data from each area in real time, the distributed nodes perform autonomous calculations and local control, and the IoT cloud provides synchronous monitoring and remote control to achieve intelligent closed-loop control of the entire cabin.

[0039] In one application scenario of this invention, the control logic of the air curtain device includes: real-time acquisition of outdoor ambient humidity, using outdoor humidity as the core trigger condition to link the door opening and closing signal to execute start-stop switching; under conditions of excessive outdoor humidity or high humidity, the air curtain machine is forcibly started to form a vertical isolation air curtain, completely blocking outdoor humid air and moisture from flowing back into the pipe gallery; after the air curtain device is opened and the outdoor humidity drops to a normal value, the air curtain machine is delayed and shut down; it supports local manual and remote forced dual-mode control, with distributed nodes independently acquiring humidity signals and autonomously executing start-stop, resulting in a more sensitive response and adapting to the all-weather moisture protection needs of the pipe gallery.

[0040] The ventilation system control logic includes: adopting dual threshold linkage control of temperature, humidity and air quality: automatically starting ventilation when the temperature inside the pipe gallery exceeds the standard, the humidity is too high, or the air quality is not up to standard; delaying shutdown after reaching the set temperature, humidity and air quality qualified thresholds; supporting timed ventilation, fault alarm and fault shutdown protection; distributed node independent control, so that the failure of a single unit does not affect the operation of other units.

[0041] The dehumidification device control logic includes: using the humidity inside the pipe gallery as the core control parameter, automatically starting dehumidification operation when the humidity exceeds the warning value, and automatically stopping the machine when the humidity drops to the set standard value; it can be linked with the ventilation fan to operate synchronously to improve dehumidification efficiency; it supports all-weather standby, manual start and stop, and remote control of dehumidification parameters; it is distributed and can dehumidify independently in different areas, and operate on demand to reduce energy consumption.

[0042] The intelligent control system for fresh air dehumidification in the underground integrated utility tunnel includes a ventilation and dehumidification control mathematical model construction module, which is used to construct a ventilation and dehumidification control mathematical model.

[0043] The ventilation and dehumidification control mathematical model construction module preprocesses the data in the training dataset; it extracts key features from the preprocessed data; then it combines, statistically analyzes, and groups the extracted key features, standardizes and normalizes the key features to form key feature combinations; the key feature combinations include humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, temperature data inside the underground utility tunnel, working status data of the air curtain device, working status data of the ventilation device, and working status data of the dehumidification device; and a ventilation and dehumidification control mathematical model is constructed based on the formed key feature combinations. The main control module inputs humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, and temperature data inside the underground utility tunnel into the ventilation and dehumidification control mathematical model to obtain the working status data of the air curtain device, ventilation device, and dehumidification device, and uses this data to control the operation of the air curtain device, ventilation device, and dehumidification device.

[0044] In one embodiment of the present invention, the intelligent control system for fresh air dehumidification in the underground utility tunnel further includes: a carbon dioxide content detection module, a carbon monoxide content detection module, and a methane content detection module. The carbon dioxide content detection module is used to detect the carbon dioxide content within a designated area; when the detected carbon dioxide content exceeds a set threshold, the air quality is determined to be substandard. The carbon monoxide content detection module is used to detect the carbon monoxide content within a designated area; when the detected carbon monoxide content exceeds a set threshold, the air quality is determined to be substandard. The methane content detection module is used to detect the methane content within a designated area; when the detected methane content exceeds a set threshold, the air quality is determined to be substandard. Furthermore, the intelligent control system for fresh air dehumidification in the underground utility tunnel can also be equipped with other gas content detection modules as needed to determine whether there are excessive harmful gases in the underground utility tunnel, ensuring the safety of inspection personnel.

[0045] This invention further discloses a control method for the above-mentioned intelligent control system for fresh air dehumidification in underground integrated pipe corridors. Figure 4 This is a flowchart of an intelligent control method for fresh air dehumidification in an underground integrated utility tunnel according to an embodiment of the present invention; please refer to [link / reference]. Figure 4 The control method includes: The main control module controls the air curtain device to operate based on the humidity data outside the set space sensed by the first humidity sensor; when the humidity data outside the set space exceeds a first threshold, the main control module controls the air curtain device to operate; the air curtain device is installed at the airflow inlet and outlet of the underground utility tunnel to form a vertical isolation air curtain, blocking the humid air outside the underground utility tunnel and preventing humid air from flowing back into the underground utility tunnel; the main control module controls the air curtain device to open; when the humidity data outside the underground utility tunnel drops below the first threshold, the main control module controls the air curtain device to close. The main control module controls the operation of the ventilation device based on the humidity data in the underground utility tunnel sensed by the second humidity sensor and the temperature data in the underground utility tunnel sensed by the first temperature sensor; when the temperature in the underground utility tunnel exceeds the second threshold or / and the humidity in the underground utility tunnel exceeds the third threshold or / and the air quality in the underground utility tunnel does not meet the standard, the main control module controls the ventilation device to operate.

[0046] In one embodiment of the present invention, the control method specifically includes: S1. Collect real-time data of each fire compartment according to the preset sampling interval, including: air temperature and relative humidity inside the corridor, wall temperature inside the corridor, outdoor air temperature and relative humidity, and cumulative rainfall. S2. Calculate the dew point temperature of the air inside the corridor based on the air temperature and relative humidity inside the corridor, and calculate the dew point temperature of the outdoor air based on the outdoor air temperature and relative humidity. S3. Input the data sequence of each fire compartment within a continuous historical time period into a pre-trained LSTM prediction model. The data sequence includes: humidity inside the corridor, wall temperature, outdoor humidity, cumulative rainfall, and time period identifier corresponding to the sampling time. The LSTM model outputs the predicted value of the air humidity inside the corridor of each fire compartment within a preset time period in the future. S4. Based on the predicted moisture content of each fire compartment, calculate the difference ΔT between the predicted dew point temperature and the wall temperature of each compartment, and determine the condensation risk level: ΔT < T1 is high risk, T1 ≤ ΔT < T2 is medium risk, and ΔT ≥ T2 is low risk, where T1 and T2 are preset thresholds. S5. Sort each fire compartment according to the condensation risk level, prioritize the activation of dehumidification equipment in high-risk compartments, and delay the activation or keep it on standby in medium-risk and low-risk compartments. S6. When the outdoor air dew point temperature is lower than the indoor air dew point temperature and ΔT≥T2, turn on the fresh air fan of the corresponding zone to introduce outdoor fresh air; otherwise, turn off the fresh air fan. S7. Execute the generated start / stop control commands to drive the fresh air fan and / or dehumidification equipment in the corresponding zone to operate.

[0047] As one embodiment of the present invention, in step S3, the input features of the LSTM model also include one or more of the following: the burial depth of the utility tunnel, the azimuth angle of the utility tunnel, and the weather warning level of the day; the LSTM model updates the input data sequence using a sliding window method, with a window length of 24 to 72 hours, a sampling interval of 15 to 60 minutes, and a prediction duration of 2 to 6 hours. In step S5, the specific method of delayed start is as follows: the dehumidification equipment in each zone is started sequentially according to the condensation risk level from high to low, with an interval of Δt time, where Δt is 5 to 15 minutes. Step S6 is followed by: when the cumulative running time of any zone dehumidification equipment reaches a preset value but the moisture content still fails to drop below the safe threshold, an alarm signal is triggered and uploaded to the pipe gallery monitoring platform; The method further includes a seasonal parameter adaptive adjustment step: automatically adjusting the values ​​of the preset thresholds T1 and T2 according to the current month, taking smaller values ​​in summer and larger values ​​in winter.

[0048] In one embodiment of the present invention, the air curtain device prioritizes the execution of isolation and protection logic, and the ventilator and dehumidifier work together in a complementary manner: under high humidity conditions, the dehumidifier operates first, and the ventilation device assists in air exchange; under conditions of high temperature and high humidity superposition, the two operate synchronously; the system collects data from each area in real time, the distributed nodes perform autonomous calculations and local control, and the IoT cloud provides synchronous monitoring and remote control, thereby realizing intelligent closed-loop control of the entire cabin.

[0049] The intelligent control system for fresh air dehumidification in the underground integrated utility tunnel includes a ventilation and dehumidification control mathematical model construction module, which is used to construct a ventilation and dehumidification control mathematical model.

[0050] The ventilation and dehumidification control mathematical model construction module preprocesses the data in the training dataset; extracts key features from the preprocessed data; then combines, statistically analyzes, and groups the extracted key features, standardizes and normalizes the key features to form a key feature combination; the key feature combination includes humidity data outside the underground pipe gallery, humidity data inside the underground pipe gallery, temperature data inside the underground pipe gallery, working status data of the air curtain device, working status data of the ventilation device, and working status data of the dehumidification device; and constructs a ventilation and dehumidification control mathematical model based on the formed key feature combination.

[0051] The main control module inputs humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, and temperature data inside the underground utility tunnel into the ventilation and dehumidification control mathematical model to obtain the working status data of the air curtain device, ventilation device, and dehumidification device, and uses this data to control the operation of the air curtain device, ventilation device, and dehumidification device.

[0052] In one application scenario of the present invention, the system communication scheme of the present invention adopts ZigBee and IoT communication. The system is equipped with a distributed architecture, which is adapted to the wireless networking, remote monitoring and data transmission needs of pipe gallery equipment. It meets the requirements of low power consumption, long distance and stable communication in underground space. It can be connected to the IoT monitoring platform. The failure of a single node does not affect the operation of the whole area. The system has stronger scalability and stability.

[0053] Air curtain machine control logic (core: outdoor humidity detection): Real-time monitoring of outdoor humidity; forced activation when humidity exceeds threshold to form an air curtain to block outdoor moisture backflow; after humidity drops to normal value, linkage of the cabin door opening and closing, supporting manual forced control.

[0054] Ventilation fan control logic: Starts and stops based on the temperature, humidity and air quality inside the pipe gallery. It locks and stops when the outdoor humidity is high or the air curtain is running to prevent moisture from being drawn in. It also has fault protection and timed operation functions.

[0055] Dehumidifier control logic: The core of the control is the humidity inside the pipe gallery. It starts when the humidity exceeds the standard and stops when the standard is reached. The dehumidifier is dehumidified in a synchronous manner when the air curtain is running. It is controlled independently in a distributed manner in different areas.

[0056] Global linkage control logic: High outdoor humidity priority: air curtain machine starts, ventilation fan stops, dehumidifier runs at full speed; when outdoor humidity is suitable, equipment automatically links according to door and internal environmental parameters.

[0057] Suitable scenarios: Intelligent control of temperature, humidity, air circulation, and airtight isolation in integrated underground utility tunnels around the clock, fully linked to the ZigBee+IoT distributed control system, supporting both local manual and remote automatic modes.

[0058] Air curtain machine control logic: Core functions: Real-time collection of outdoor ambient humidity, using outdoor humidity as the core trigger condition to link the door opening and closing signals to execute start-stop switching; Under conditions of excessive outdoor humidity or high humidity, the air curtain machine is forcibly started to form a vertical isolation air curtain, completely blocking outdoor humid air and moisture from flowing back into the pipe gallery; After the door is closed and the outdoor humidity drops to a normal value, the air curtain machine is shut down after a delay; Supports local manual and remote forced dual-mode control, with distributed nodes independently collecting humidity signals and autonomously executing start-stop, resulting in more sensitive response and adapting to the all-weather moisture protection needs of the pipe gallery.

[0059] Ventilation fan control logic: adopts dual threshold linkage control of temperature, humidity and air quality: when the temperature inside the pipe gallery exceeds the standard, the humidity is too high, or the air quality is not up to standard, ventilation will be started automatically; after reaching the set temperature, humidity and air quality qualified thresholds, the fan will be delayed and shut down; supports timed ventilation, fault alarm and fault shutdown protection; distributed nodes are independently controlled, and the failure of a single unit will not affect the operation of other units.

[0060] Dehumidifier control logic: The core control parameter is the humidity inside the pipe gallery. When the humidity exceeds the warning value, the dehumidifier will start automatically and stop automatically when the humidity drops to the set standard value. It can be linked with the ventilation fan to run synchronously to improve dehumidification efficiency. It supports all-weather standby, manual start and stop, and remote control of dehumidification parameters. It can be deployed in a distributed manner, dehumidify independently in different areas, and operate on demand to reduce energy consumption.

[0061] Full-domain linkage control logic: The air curtain machine prioritizes the execution of isolation and protection logic, and the ventilation fan and dehumidifier work together in a complementary manner: Under high humidity conditions, the dehumidifier runs first, and the ventilation fan assists in air exchange; under conditions of high temperature and high humidity, the two run synchronously; the system collects data from each area in real time, the distributed nodes perform autonomous calculations and local control, and the IoT cloud provides synchronous monitoring and remote control to achieve intelligent closed-loop control of the entire cabin.

[0062] In one embodiment of the present invention, the control method further includes: The carbon dioxide content detection procedure involves detecting the carbon dioxide content within a designated area; if the detected carbon dioxide content exceeds a set threshold, it can be determined that the air quality is substandard. The carbon monoxide content detection procedure involves detecting the carbon monoxide content within a designated area; if the detected carbon monoxide content exceeds a set threshold, the air quality is deemed substandard. The methane content detection procedure involves detecting the methane content within a designated area; if the detected methane content exceeds a set threshold, the air quality is deemed substandard.

[0063] This invention also discloses an electronic device, Figure 5 This is a schematic diagram of the composition of an electronic device according to an embodiment of the present invention; please refer to [link / reference]. Figure 5 At the hardware level, the electronic device includes a memory, a processor, and at least one communication interface; the processor may be a microprocessor, and the memory may include main memory, such as random access memory (RAM) or non-volatile memory. Of course, the electronic device may also include other hardware as needed.

[0064] The processor, communication interface, and memory can be interconnected via an internal bus. The memory stores programs (including operating system programs and application programs); the programs may include program code, which may include computer operation instructions. The memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0065] In one embodiment, the processor can read the corresponding program from non-volatile memory into memory and then run it; the processor can execute the program stored in memory and specifically perform the following operations (e.g. Figure 4 (as shown) The main control module controls the air curtain device to operate based on the humidity data outside the set space sensed by the first humidity sensor; when the humidity data outside the set space exceeds a first threshold, the main control module controls the air curtain device to operate; the air curtain device is installed at the airflow inlet and outlet of the underground pipe gallery to form a vertical isolation air curtain to block the humid air outside the underground pipe gallery and prevent humid air from flowing back into the underground pipe gallery; the main control module controls the air curtain device to open and controls the dehumidification device to perform dehumidification; when the humidity data outside the underground pipe gallery drops below the first threshold, the main control module controls the air curtain device to close. The main control module controls the operation of the ventilation device based on the humidity data in the underground utility tunnel sensed by the second humidity sensor and the temperature data in the underground utility tunnel sensed by the first temperature sensor; when the temperature in the underground utility tunnel exceeds the second threshold or / and the humidity in the underground utility tunnel exceeds the third threshold or / and the air quality in the underground utility tunnel does not meet the standard, the main control module controls the ventilation device to operate.

[0066] This invention further discloses a storage medium storing computer program instructions, which, when executed by a processor, implement the following steps of the method of this invention (e.g. Figure 4 (as shown) The main control module controls the air curtain device to operate based on the humidity data outside the set space sensed by the first humidity sensor; when the humidity data outside the set space exceeds a first threshold, the main control module controls the air curtain device to operate; the air curtain device is installed at the airflow inlet and outlet of the underground pipe gallery to form a vertical isolation air curtain to block the humid air outside the underground pipe gallery and prevent humid air from flowing back into the underground pipe gallery; the main control module controls the air curtain device to open and controls the dehumidification device to perform dehumidification; when the humidity data outside the underground pipe gallery drops below the first threshold, the main control module controls the air curtain device to close. The main control module controls the operation of the ventilation device based on the humidity data in the underground utility tunnel sensed by the second humidity sensor and the temperature data in the underground utility tunnel sensed by the first temperature sensor; when the temperature in the underground utility tunnel exceeds the second threshold or / and the humidity in the underground utility tunnel exceeds the third threshold or / and the air quality in the underground utility tunnel does not meet the standard, the main control module controls the ventilation device to operate.

[0067] In summary, the intelligent control system, method, electronic equipment, and storage medium for fresh air dehumidification in underground utility tunnels proposed in this invention can ensure suitable humidity within the tunnels, prevent pipe rust and corrosion, and avoid aging and leakage, thus extending the service life of various pipes, improving the safety of inspection personnel, and ensuring stable system operation. This invention can also control ventilation based on the carbon dioxide content in the underground utility tunnels to ensure air quality meets standards. Furthermore, this invention incorporates the detection of gases such as carbon dioxide, carbon monoxide, and methane to ensure the safety of inspection personnel (ventilation control can be initiated upon detection of abnormalities).

[0068] The invention can predict condensation and effectively prevent condensation; it can also control zonal temperature range and provide differentiated energy saving; and through LSTM predictive forward control, it can improve response speed, reduce dehumidification energy consumption, and avoid condensation accidents.

[0069] It should be noted that this application can be implemented in software and / or a combination of software and hardware; for example, it can be implemented using an application-specific integrated circuit (ASIC), a general-purpose computer, or any other similar hardware device. In some embodiments, the software program of this application can be executed by a processor to implement the steps or functions described above. Similarly, the software program of this application (including related data structures) can be stored in a computer-readable recording medium; for example, RAM memory, magnetic or optical drives, floppy disks, and similar devices. In addition, some steps or functions of this application can be implemented in hardware; for example, as circuitry that cooperates with a processor to perform the various steps or functions.

[0070] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0071] The description and application of the present invention herein are illustrative and not intended to limit the scope of the invention to the embodiments described above. Effects or advantages involved in the embodiments may not be apparent due to various factors, and the description of effects or advantages is not intended to limit the embodiments. Variations and modifications of the embodiments disclosed herein are possible, and various substitutions and equivalents of the components in the embodiments are well known to those skilled in the art. It should be apparent to those skilled in the art that the invention can be implemented in other forms, structures, arrangements, proportions, and with other components, materials, and parts without departing from the spirit or essential characteristics of the invention. Other variations and modifications can be made to the embodiments disclosed herein without departing from the scope and spirit of the invention.

Claims

1. A smart control system for fresh air dehumidification in underground integrated utility tunnels, characterized in that, The intelligent control system for fresh air dehumidification in the underground utility tunnel includes: a main control module, a sensing module, an air curtain device, a ventilation device, and a dehumidification device; the main control module is connected to the sensing module, the air curtain device, the ventilation device, and the dehumidification device respectively. The sensing module includes at least one first humidity sensor, at least one second humidity sensor, and at least one first temperature sensor; the first humidity sensor is used to sense humidity data outside the underground utility tunnel, the second humidity sensor is used to sense humidity data inside the underground utility tunnel, and the first temperature sensor is used to sense temperature data inside the underground utility tunnel. The main control module controls the air curtain device to operate based on the humidity data outside the set space sensed by the first humidity sensor; when the humidity data outside the set space exceeds a first threshold, the main control module controls the air curtain device to operate; the air curtain device is installed at the airflow inlet and outlet of the underground utility tunnel to form a vertical isolation air curtain, blocking the humid air outside the underground utility tunnel and preventing humid air from flowing back into the underground utility tunnel; the main control module controls the air curtain device to open; when the humidity data outside the underground utility tunnel drops below the first threshold, the main control module controls the air curtain device to close. The main control module controls the operation of the ventilation device based on the humidity data in the underground utility tunnel sensed by the second humidity sensor and the temperature data in the underground utility tunnel sensed by the first temperature sensor; when the temperature in the underground utility tunnel exceeds the second threshold or / and the humidity in the underground utility tunnel exceeds the third threshold or / and the air quality in the underground utility tunnel does not meet the standard, the main control module controls the ventilation device to operate. The main control module controls the dehumidification device to work based on the humidity data in the underground utility tunnel sensed by the second humidity sensor; when the humidity in the underground utility tunnel exceeds the fourth threshold, the main control module controls the dehumidification device to work; when the humidity in the underground utility tunnel is less than the set fourth threshold, the main control module controls the dehumidification device to stop dehumidifying. The main control module specifically includes: Data acquisition modules are configured in each fire compartment to collect data on indoor temperature and humidity, wall temperature, outdoor temperature and humidity, and rainfall. The edge computing module is used to calculate dew point temperature and humidity based on the collected data; The LSTM prediction module is used to receive historical data sequences and output the predicted moisture content of each zone within a preset time period. The risk assessment module is used to calculate the difference between the predicted dew point temperature and the wall temperature and determine the condensation risk level. The scheduling and control module is used to generate start-stop control commands for fresh air fans and dehumidification equipment in each zone according to the risk level; The execution module includes fresh air fans and dehumidification equipment corresponding to each fire compartment, used to receive and execute control commands.

2. The intelligent control system for fresh air dehumidification in underground integrated utility tunnels according to claim 1, characterized in that: The main control module's control logic for the air curtain device includes: real-time acquisition of outdoor ambient humidity, using outdoor humidity as the core trigger condition to link the door opening and closing signals to execute start-stop switching; under conditions of excessive outdoor humidity or high humidity, the air curtain machine is forcibly started to form a vertical isolation air curtain, completely blocking outdoor humid air and moisture from flowing back into the pipe gallery; after the air curtain device is opened and the outdoor humidity drops to a normal value, the air curtain machine is delayed and shut down; it supports local manual and remote forced dual-mode control, with distributed nodes independently acquiring humidity signals and autonomously executing start-stop, resulting in a more sensitive response and adapting to the all-weather moisture protection needs of the pipe gallery; The main control module's control logic for the ventilation device includes: adopting dual threshold linkage control for temperature, humidity, and air quality; automatically starting ventilation when the temperature inside the pipe gallery exceeds the standard, the humidity is too high, or the air quality is substandard; delaying shutdown after reaching the set temperature, humidity, and air quality qualification thresholds; supporting timed ventilation, fault alarms, and fault shutdown protection; and independent control of distributed nodes, so that a single unit failure does not affect the operation of other units. The main control module's control logic for the dehumidification device includes: using the humidity inside the pipe gallery as the core control parameter, automatically starting dehumidification operation when the humidity exceeds the warning value, and automatically stopping the machine when the humidity drops to the set standard value; it can be linked with the ventilation fan to operate synchronously, improving dehumidification efficiency; it supports all-weather standby, manual start / stop, and remote control of dehumidification parameters; it is distributed and can dehumidify independently in different areas, reducing energy consumption by operating on demand.

3. The intelligent control system for fresh air dehumidification in underground integrated utility tunnels according to claim 1, characterized in that: The intelligent control system for fresh air dehumidification in the underground integrated utility tunnel includes a ventilation and dehumidification control mathematical model construction module, which is used to construct a ventilation and dehumidification control mathematical model. The ventilation and dehumidification control mathematical model construction module preprocesses the data in the training dataset; it then extracts features from the preprocessed data, identifying key features. Then, the extracted key features are combined, statistically analyzed, and grouped for coding. The key features are then standardized and normalized to form key feature combinations. The key feature combinations include humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, temperature data inside the underground utility tunnel, working status data of the air curtain device, working status data of the ventilation device, and working status data of the dehumidification device. A ventilation and dehumidification control mathematical model is then constructed based on the formed key feature combinations. The main control module inputs humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, and temperature data inside the underground utility tunnel into the ventilation and dehumidification control mathematical model to obtain the working status data of the air curtain device, ventilation device, and dehumidification device, and uses this data to control the operation of the air curtain device, ventilation device, and dehumidification device.

4. The intelligent control system for fresh air dehumidification in underground integrated utility tunnels according to claim 1, characterized in that: The intelligent control system for fresh air dehumidification in the underground integrated utility tunnel further includes: The carbon dioxide content detection module is used to detect the carbon dioxide content in a designated area; when the detected carbon dioxide content exceeds a set threshold, it can be determined that the air quality is substandard. The carbon monoxide detection module is used to detect the carbon monoxide content in a designated area; when the detected carbon monoxide content exceeds a set threshold, it can be determined that the air quality is substandard. The methane content detection module is used to detect the methane content in a set area; when the detected methane content exceeds the set threshold, it can be determined that the air quality does not meet the standards.

5. A control method for the intelligent control system for fresh air dehumidification in underground integrated pipe gallery as described in any one of claims 1 to 4, characterized in that, The control method includes: The main control module controls the air curtain device to operate based on the humidity data outside the set space sensed by the first humidity sensor; when the humidity data outside the set space exceeds a first threshold, the main control module controls the air curtain device, ventilation device, and dehumidification device to operate; the air curtain device is installed at the airflow inlet and outlet of the underground pipe gallery to form a vertical isolation air curtain to block the humid air outside the underground pipe gallery and prevent humid air from flowing back into the underground pipe gallery; the main control module controls the air curtain device to open and controls the dehumidification device to perform dehumidification; when the humidity data outside the underground pipe gallery drops below the first threshold, the main control module controls the air curtain device to close. The main control module controls the operation of the ventilation and dehumidification devices based on the humidity data in the underground utility tunnel sensed by the second humidity sensor and the temperature data in the underground utility tunnel sensed by the first temperature sensor. When the temperature in the underground utility tunnel exceeds the second threshold or / and the humidity in the underground utility tunnel exceeds the third threshold or / and the air quality in the underground utility tunnel fails to meet the standards, the main control module controls the operation of the ventilation and dehumidification devices.

6. The control method according to claim 5, characterized in that: The control method specifically includes: S1. Collect real-time data of each fire compartment according to the preset sampling interval, including: air temperature and relative humidity inside the corridor, wall temperature inside the corridor, outdoor air temperature and relative humidity, and cumulative rainfall. S2. Calculate the dew point temperature of the air inside the corridor based on the air temperature and relative humidity inside the corridor, and calculate the dew point temperature of the outdoor air based on the outdoor air temperature and relative humidity. S3. Input the data sequence of each fire compartment within a continuous historical time period into a pre-trained LSTM prediction model. The data sequence includes: humidity inside the corridor, wall temperature, outdoor humidity, cumulative rainfall, and time period identifier corresponding to the sampling time. The LSTM model outputs the predicted value of the air humidity inside the corridor of each fire compartment within a preset time period in the future. S4. Based on the predicted moisture content of each fire compartment, calculate the difference ΔT between the predicted dew point temperature and the wall temperature of each compartment, and determine the condensation risk level: ΔT < T1 is high risk, T1 ≤ ΔT < T2 is medium risk, and ΔT ≥ T2 is low risk, where T1 and T2 are preset thresholds. S5. Sort each fire compartment according to the condensation risk level, prioritize the activation of dehumidification equipment in high-risk compartments, and delay the activation or keep it on standby in medium-risk and low-risk compartments. S6. When the outdoor air dew point temperature is lower than the indoor air dew point temperature and ΔT≥T2, turn on the fresh air fan of the corresponding zone to introduce outdoor fresh air; otherwise, turn off the fresh air fan. S7. Execute the generated start / stop control commands to drive the fresh air fan and / or dehumidification equipment in the corresponding zone to operate.

7. The control method according to claim 6, characterized in that: In step S3, the input features of the LSTM model also include one or more of the following: the burial depth of the utility tunnel, the azimuth angle of the utility tunnel, and the weather warning level of the day; the LSTM model updates the input data sequence using a sliding window method, with a window length of 24 to 72 hours, a sampling interval of 15 to 60 minutes, and a prediction duration of 2 to 6 hours. In step S5, the specific method of delayed start is as follows: the dehumidification equipment in each zone is started sequentially according to the condensation risk level from high to low, with an interval of Δt time, where Δt is 5 to 15 minutes. Step S6 is followed by: when the cumulative running time of any zone dehumidification equipment reaches a preset value but the moisture content still fails to drop below the safe threshold, an alarm signal is triggered and uploaded to the pipe gallery monitoring platform; The method further includes a seasonal parameter adaptive adjustment step: automatically adjusting the values ​​of the preset thresholds T1 and T2 according to the current month, taking smaller values ​​in summer and larger values ​​in winter.

8. The control method according to claim 5, characterized in that: The main control module's control logic for the air curtain device includes: real-time acquisition of outdoor ambient humidity, using outdoor humidity as the core trigger condition to link the door opening and closing signals to execute start-stop switching; under conditions of excessive outdoor humidity or high humidity, the air curtain machine is forcibly started to form a vertical isolation air curtain, completely blocking outdoor humid air and moisture from flowing back into the pipe gallery; after the air curtain device is opened and the outdoor humidity drops to a normal value, the air curtain machine is delayed and shut down; it supports local manual and remote forced dual-mode control, with distributed nodes independently acquiring humidity signals and autonomously executing start-stop, resulting in a more sensitive response and adapting to the all-weather moisture protection needs of the pipe gallery; The main control module's control logic for the ventilation device includes: adopting dual threshold linkage control for temperature, humidity, and air quality; automatically starting ventilation when the temperature inside the pipe gallery exceeds the standard, the humidity is too high, or the air quality is substandard; delaying shutdown after reaching the set temperature, humidity, and air quality qualification thresholds; supporting timed ventilation, fault alarms, and fault shutdown protection; and independent control of distributed nodes, so that a single unit failure does not affect the operation of other units. The main control module's control logic for the dehumidification device includes: using the humidity inside the pipe gallery as the core control parameter, automatically starting dehumidification operation when the humidity exceeds the warning value, and automatically stopping the machine when the humidity drops to the set standard value; it can be linked with the ventilation fan to operate synchronously, improving dehumidification efficiency; it supports all-weather standby, manual start / stop, and remote control of dehumidification parameters; it features distributed deployment, independent dehumidification in different areas, and on-demand operation to reduce energy consumption; The intelligent control system for fresh air dehumidification in the underground integrated utility tunnel includes a ventilation and dehumidification control mathematical model construction module, which is used to construct a ventilation and dehumidification control mathematical model. The ventilation and dehumidification control mathematical model construction module preprocesses the data in the training dataset; it extracts key features from the preprocessed data; then it combines, statistically analyzes, and groups the extracted key features, standardizes and normalizes the key features to form key feature combinations; the key feature combinations include humidity data outside the underground utility tunnel, humidity data inside the underground utility tunnel, temperature data inside the underground utility tunnel, working status data of the air curtain device, working status data of the ventilation device, and working status data of the dehumidification device; and a ventilation and dehumidification control mathematical model is constructed based on the formed key feature combinations. The main control module inputs the humidity data outside the underground utility tunnel, the humidity data inside the underground utility tunnel, and the temperature data inside the underground utility tunnel into the ventilation and dehumidification control mathematical model to obtain the working status data of the air curtain device, the ventilation device, and the dehumidification device, and controls the operation of the air curtain device, the ventilation device, and the dehumidification device accordingly. The control method further includes: The carbon dioxide content detection procedure involves detecting the carbon dioxide content within a designated area; if the detected carbon dioxide content exceeds a set threshold, it can be determined that the air quality is substandard. The carbon monoxide content detection procedure involves detecting the carbon monoxide content within a designated area; if the detected carbon monoxide content exceeds a set threshold, the air quality is deemed substandard. The methane content detection procedure involves detecting the methane content within a designated area; if the detected methane content exceeds a set threshold, the air quality is deemed substandard.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 5 to 8.

10. A storage medium storing computer program instructions thereon, characterized in that, When executed by a processor, the computer program instructions implement the steps of the method according to any one of claims 5 to 8.

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