Diffuse type intelligent temperature control ventilation pipe group cooling control method and system

Abstract

The invention provides a dispersion type intelligent temperature control ventilation pipe group cooling control method and system, and relates to the technical field of roadbed temperature control. The system comprises a control module, a temperature control module and a data acquisition module, the data acquisition module is arranged on the slope toe side of a roadbed, on the outer wall of a ventilation pipeline and embedded in the lower portion of the roadbed and used for obtaining working environment data of a diffuse type ventilation pipe network. The control module is connected with the temperature control module and used for receiving the working environment data sent by the temperature control module, generating a first control instruction set based on the working environment data and sending the first control instruction set to the temperature control module so as to control the working state of the draught fan. Or receiving a second control instruction set, and generating a first control instruction, a second control instruction and a third control instruction based on the second control instruction set. The system can improve the temperature control reliability of the permafrost roadbed and improve the thermal stability of the roadbed structure.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of subgrade temperature control, in particular to a dispersion type intelligent temperature control ventilation pipe group cooling control method and system. BACKGROUND

[0002] At present, with the global temperature rising, the plateau climate characteristics are gradually changing from "dry and cold" to "warm and wet", and the permafrost is gradually degrading, the physical and mechanical properties of the permafrost change significantly, and a series of diseases such as roadbed settlement and cracking of highways, railways and other linear projects passing through the permafrost region are caused, which seriously threatens the safe operation of the permafrost engineering. The forced dispersion type ventilation roadbed is widely used in road engineering in the permafrost region. This method actively introduces cold air from the outside into the roadbed by laying parallel high-strength PVC pipe networks in the roadbed, thereby playing an active cooling effect. Limited by the complex and harsh extreme environment in the high-cold and high-altitude region, the traditional temperature control system is prone to control failure and battery consumption after long-time operation, and the existing technical means have relatively weak intelligent performance, are inconvenient to operate, do not have remote control function, have low reliability, and are difficult to guarantee the thermal stability of the roadbed structure. SUMMARY

[0003] The application provides a dispersion type intelligent temperature control ventilation pipe group cooling control method and system. The dispersion type intelligent temperature control ventilation pipe group cooling control system effectively combines multi-dimensional data acquisition and intelligent control, fully acquires external environment, pipe network internal and ground temperature data by arranging data acquisition modules at multiple positions of the roadbed slope foot side, ventilation pipe outer wall and roadbed lower part, and realizes three-dimensional monitoring of the permafrost thermal state. The control module generates accurate control instruction set based on the real-time data, which can not only dynamically adjust the data acquisition period to adapt to environmental changes, but also can keep the temperature difference between the inside and outside of the pipe network within the preset range by adjusting the working state of the fan, so as to avoid the thermal disturbance of temperature mutation to the roadbed, thereby improving the temperature control reliability of the permafrost roadbed. In addition, the system controls the cooperative work of the ventilation pipe group through intelligent start-stop logic, actively introduces cold quantity to reduce the ground temperature in the cold season, and reduces the invasion of hot air in the warm season, so as to maintain the thermal balance of the roadbed all year round. This closed-loop control mechanism based on multi-source data fusion overcomes the limitations of the traditional single temperature control method, effectively inhibits the development of the permafrost thawing and frost heaving diseases, and can guarantee the thermal stability of the roadbed structure.

[0004] In a first aspect, the present application provides a diffuse intelligent temperature control ventilation pipe group cooling control system, comprising a control module, a temperature control module and a data acquisition module; the data acquisition module is arranged on the side of the subgrade slope foot, the outer wall of the ventilation pipe and is embedded in the lower part of the subgrade, and is used for acquiring working environment data of the diffuse ventilation pipe network; wherein the diffuse ventilation pipe network is arranged below the subgrade, and the working environment data comprises external environment data of the subgrade, internal environment data of the pipe network and ground temperature data; the temperature control module is connected with the control module and the data acquisition module respectively, is used for receiving the working environment data and sending the working environment data to the control module, and controls the working state of the fan of the diffuse ventilation pipe network based on the received control instruction set; the control module is connected with the temperature control module, is used for receiving the working environment data sent from the temperature control module, generating a first control instruction set based on the working environment data, and sending the first control instruction set to the temperature control module to control the working state of the fan; or receiving a second control instruction set and generating a first control instruction, a second control instruction and a third control instruction based on the second control instruction set; wherein the first control instruction is used for instructing the data acquisition module to collect the working environment data periodically, the second control instruction is used for instructing to keep the difference between the internal temperature of the diffuse ventilation pipe network and the external environment temperature within a preset difference range, and the third control instruction is used for instructing the fan start-stop logic of the diffuse ventilation pipe network.

[0005] According to an embodiment of the present application, the control module is specifically used for: comparing the external environment data of the subgrade with preset seasonal regulation data, judging the expected working mode of the diffuse ventilation pipe network under the current climate condition; generating a temperature field distribution map of the diffuse ventilation pipe network based on the expected working mode and the internal environment data of the pipe network, and generating a differential temperature control instruction based on the temperature field distribution map; the differential temperature control instruction is used for instructing the working state of one or more fans in the diffuse ventilation pipe network; generating a dynamic temperature regulation instruction based on the ground temperature data, and the dynamic temperature regulation instruction is used for instructing the overall working state of the diffuse ventilation pipe network.

[0006] According to an embodiment of the present application, the diffuse intelligent temperature control ventilation pipe group cooling control system adopts a layered distributed architecture, comprising one temperature control mainboard and multiple temperature control slave boards; the temperature control module comprises one main temperature control unit and multiple slave temperature control units, the main temperature control unit is arranged on the temperature control mainboard, and each slave temperature control unit is arranged on the corresponding temperature control slave board; the data acquisition module comprises one main data acquisition unit and multiple slave data acquisition units, the main data acquisition unit is arranged on the temperature control mainboard and is used for acquiring the external environment data of the subgrade, and each slave data acquisition unit is arranged on the corresponding temperature control slave board and is used for acquiring the internal environment data of the pipe network.

[0007] According to one embodiment of the present application, the temperature control master board and the plurality of temperature control slave boards are connected in communication based on a LoRa communication standard.

[0008] According to one embodiment of the present application, the diffuse intelligent temperature control ventilation pipe group cooling control system further comprises a power generation module and an energy storage module, the power generation module is connected with the energy storage module and used for providing electric quantity, and the energy storage module is connected with the data acquisition module and the temperature control module respectively and used for storing electric quantity and supplying power for the data acquisition module and the temperature control module.

[0009] According to one embodiment of the present application, the control module is further used for: determining whether a monitoring time is reached, in the case that the monitoring time is reached, determining whether the storage electric quantity of the energy storage module is higher than a preset electric quantity threshold value, if the storage electric quantity of the energy storage module is higher than the preset electric quantity threshold value, determining whether a pipe network temperature of the diffuse ventilation pipe network is higher than an external environment temperature, if the pipe network temperature is higher than the external environment temperature, controlling to start a fan of the diffuse ventilation pipe network, if the pipe network temperature is lower than the external environment temperature, determining a temperature difference value between the temperature and the external environment temperature, in the case that the temperature difference value is greater than a temperature difference threshold value, controlling to start the fan of the diffuse ventilation pipe network, otherwise, stopping the fan of the diffuse ventilation pipe network.

[0010] According to one embodiment of the present application, the first control instruction is a temperature control interval, the second control instruction is a temperature difference value, and the third control instruction is a temperature threshold value.

[0011] According to one embodiment of the present application, the temperature control interval is set in a range of 0-1440 minutes, the temperature difference value is set in a range of 0-10 degrees Celsius, and the temperature threshold value is 10-40 degrees Celsius.

[0012] In a second aspect, the present application also provides a method for diffuse intelligent temperature control, which is applied to a diffuse intelligent temperature control ventilation pipe group cooling control system, and the diffuse intelligent temperature control ventilation pipe group cooling control system comprises a control module, a temperature control module and a data acquisition module; the data acquisition module is arranged at a roadbed slope foot side, a ventilation pipe outer wall and is embedded in a roadbed lower part, and is used for acquiring working environment data of a diffuse ventilation pipe network; wherein the diffuse ventilation pipe network is arranged below a roadbed, the working environment data comprises roadbed external environment data, pipe network internal environment data and ground temperature data; the temperature control module is connected with the control module and the data acquisition module respectively, is used for receiving the working environment data and sending the working environment data to the control module, and controls a fan working state of the diffuse ventilation pipe network based on a received control instruction set; the control module is connected with the temperature control module; the method comprises the following steps: receiving the working environment data sent from the temperature control module, generating a first control instruction set based on the working environment data, and sending the first control instruction set to the temperature control module to control the fan working state; or receiving a second control instruction set, and generating a first control instruction, a second control instruction and a third control instruction based on the second control instruction set; wherein the first control instruction is used for instructing the data acquisition module to collect the working environment data periodically, the second control instruction is used for instructing to keep a difference between a pipe network internal temperature and an external environment temperature of the diffuse ventilation pipe network within a preset difference range, and the third control instruction is used for instructing a fan start-stop logic of the diffuse ventilation pipe network.

[0013] According to an embodiment of the present application, the method further comprises: comparing the roadbed external environment data with preset seasonal regulation data, judging an expected working mode of the diffuse ventilation pipe network under current climate conditions; generating a temperature field distribution map of the diffuse ventilation pipe network based on the expected working mode and the pipe network internal environment data, and generating a differential temperature control instruction based on the temperature field distribution map; the differential temperature control instruction is used for instructing a working state of one or more fans in the diffuse ventilation pipe network; generating a dynamic temperature regulation instruction based on the ground temperature data, and the dynamic temperature regulation instruction is used for instructing an overall working state of the diffuse ventilation pipe network.

[0014] Compared with the prior art, the application has the beneficial effects that: through effective combination of multi-dimensional data acquisition and intelligent control, through multi-position arrangement of data acquisition modules at the side of the subgrade slope foot, the outer wall of the ventilation pipe and the lower part of the subgrade, external environment, pipe network internal and ground temperature data are comprehensively acquired, and three-dimensional monitoring of the frozen soil thermal state is realized. The control module generates accurate control instruction set based on the real-time data, which can not only dynamically adjust the data acquisition period to adapt to environmental changes, but also keep the temperature difference between the inside and outside of the pipe network within the preset range through adjusting the working state of the fan, so as to avoid thermal disturbance of temperature mutation to the subgrade, thereby improving the temperature control reliability of the permafrost subgrade. In addition, the system controls the cooperative work of the ventilation pipe group through intelligent start-stop logic, actively introduces cold quantity to reduce ground temperature in cold season, and reduces the invasion of hot air in warm season, so as to maintain the thermal balance of the subgrade throughout the year. This closed-loop control mechanism based on multi-source data fusion overcomes the limitations of traditional single temperature control method, effectively inhibits the development of frozen soil thawing and frost heaving diseases, and can guarantee the thermal stability of the subgrade structure. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 The connection schematic diagram of the diffuse intelligent temperature control ventilation pipe group cooling control system provided by the embodiment of the application.

[0016] Figure 2 The layout schematic diagram of the diffuse intelligent temperature control ventilation pipe group cooling control system provided by the embodiment of the application.

[0017] Figure 3 The layout plane schematic diagram of the diffuse intelligent temperature control ventilation pipe group cooling control system provided by the embodiment of the application.

[0018] Figure 4 The system hardware arrangement schematic diagram provided by the embodiment of the application.

[0019] Figure 5 The internal structure schematic diagram of the temperature control mainboard provided by the embodiment of the application.

[0020] Figure 6 The internal structure schematic diagram of the temperature control slave board provided by the embodiment of the application.

[0021] Figure 7 The control logic schematic diagram of the diffuse intelligent temperature control ventilation pipe group cooling control system provided by the embodiment of the application.

[0022] Figure 8 The temperature monitoring curve schematic diagram of the diffuse intelligent temperature control ventilation pipe group cooling control system provided by the embodiment of the application.

[0023] Figure 9 The diffuse intelligent temperature control ventilation subgrade temperature field distribution schematic diagram provided by the embodiment of the application. DETAILED DESCRIPTION

[0024] The application will be described in further detail below with reference to the test examples and specific embodiments. However, this should not be understood as limiting the scope of the above-mentioned subject matter of the application to the following examples only, but rather the scope of protection of the application encompasses all technical solutions realized on the basis of the content of the application.

[0025] In the description of the specific embodiments of the application, the terms indicating the orientation or positional relationship such as "upper", "lower", "left", "right", "center", "inner", "outer", "side" and the like appear without special indication, are expressed based on the orientation or positional relationship shown in the drawings, or are the orientation or positional relationship when the product / device / apparatus is placed in use. These terms of orientation or positional relationship are merely for the convenience of describing the scheme of the application or simplifying the description in the specific embodiments, for the convenience of the technicians to quickly understand the scheme, and do not indicate or imply that a specific device / component / element must have a specific orientation, or be constructed and operated in a specific positional relationship, and therefore cannot be understood as a limitation on the application.

[0026] In the description of the embodiments of the application, the technical terms "first", "second" and the like only distinguish one entity or operation from another entity or operation, and cannot be understood as indicating or implying relative importance or implicitly indicating the number, specific order or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the application, the meaning of "multiple" is two and more than two, unless otherwise specifically and specifically limited.

[0027] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily independent or alternative embodiments to each other. The skilled person in the art explicitly and implicitly understands that the embodiments described herein can be combined with other embodiments.

[0028] Please refer to Figure 1 , Figure 1 The connection schematic diagram of the diffused intelligent temperature control ventilation pipe group cooling control system provided by the embodiments of the application is shown in FIG. 1. The diffused intelligent temperature control ventilation pipe group cooling control system 100 can include a control module 110, a temperature control module 120 and a data acquisition module 130.

[0029] The data acquisition module 130 is arranged at the side of the roadbed toe, the outer wall of the ventilation duct, and is embedded in the lower part of the roadbed, and is used to acquire working environment data of the diffuse ventilation pipe network; wherein the diffuse ventilation pipe network is arranged below the roadbed, and the working environment data includes external environment data of the roadbed, internal environment data of the pipe network, and ground temperature data; the temperature control module 120 is connected with the control module 110 and the data acquisition module 130 respectively, is used to receive the working environment data and send the working environment data to the control module 110, and control the fan working state of the diffuse ventilation pipe network based on the received control instruction set; the control module 110 is connected with the temperature control module 120, is used to receive the working environment data sent from the temperature control module 120, generate a first control instruction set based on the working environment data, and send the first control instruction set to the temperature control module 120 to control the fan working state; or receive a second control instruction set, and generate a first control instruction, a second control instruction and a third control instruction based on the second control instruction set; wherein the first control instruction is used to instruct the data acquisition module 130 to acquire the working environment data periodically, the second control instruction is used to instruct to keep the difference between the internal temperature of the diffuse ventilation pipe network and the external environment temperature within a preset difference range, and the third control instruction is used to instruct the fan start-stop logic of the diffuse ventilation pipe network.

[0030] In the embodiment of the application, the diffuse ventilation pipe network refers to a series of ventilation pipe systems distributed in the roadbed in the permafrost region in a distributed manner. These pipes form a spatial network structure through a specific arrangement manner, and jointly constitute an engineering measure for actively adjusting the thermal condition of the roadbed. Unlike the traditional centralized ventilation pipe, the diffuse pipe group adopts a discretization layout concept, and the ventilation pipes are arranged in different positions of the roadbed at a certain interval to form a diffuse thermal regulation network covering the entire roadbed section. The diffuse intelligent temperature control ventilation pipe group cooling control system provided in the embodiment of the application controls the operation of the fan through intelligent control, actively introduces the external cold air into the pipe by using the abundant wind energy resources in the plateau region. When the external air temperature is lower than the temperature of the roadbed in the cold season, the system automatically starts the fan to make the cold air flow in the pipe, and exchanges heat with the surrounding soil through the pipe wall, thereby taking away the heat accumulated in the roadbed. When the external air temperature is higher in the warm season, the system can control the fan to reduce the operation or stop working, thereby effectively preventing the heat from entering the roadbed.

[0031] The data acquisition module 130 is mainly used for monitoring the temperature and humidity change data of the pipe network inside the roadbed structure and the external environment. The system is deployed through a multi-level sensor network. High-precision temperature and humidity probes are arranged at key nodes of the pipe network inside the roadbed. Meteorological station level monitoring terminals are set in the external environment by using a temperature control mainboard, forming a three-dimensional data acquisition system, and then realizing high-precision monitoring of the temperature and humidity inside and outside the pipe network. Specifically, the data acquisition module 130 can be configured with temperature and humidity sensors with a temperature measurement accuracy of ±0.5°C and a humidity measurement accuracy of ±2%RH, and has a minute-level data sampling frequency.

[0032] For example, in the embodiment of the present application, the roadbed external environment data includes temperature and humidity data of the roadbed external environment, and the pipe network internal environment data includes temperature and humidity data of the pipe network internal environment. The implementation manner of the control module 110 generating the first control instruction set based on the working environment data specifically includes: comparing the roadbed external environment data with preset seasonal regulation data to determine the expected working mode of the diffuse ventilation pipe network under the current climate condition; generating a temperature field distribution map of the diffuse ventilation pipe network based on the expected working mode and the pipe network internal environment data, generating a differential temperature control instruction based on the temperature field distribution map, the differential temperature control instruction being used to indicate the working state of one or more fans in the diffuse ventilation pipe network; generating a dynamic temperature regulation instruction based on the ground temperature data, the dynamic temperature regulation instruction being used to indicate the overall working state of the diffuse ventilation pipe network.

[0033] Specifically, in the control logic of the diffuse intelligent temperature control ventilation pipe group cooling control system 100, the process of the control module 110 generating the first control instruction set contains three hierarchical decision steps. First, the control module 110 will intelligently compare the real-time collected roadbed external environment temperature and humidity data with the preset seasonal regulation database. This database stores historical experience data of frozen soil thermal stability under different seasons and different climate conditions. The system determines the expected working mode of the diffuse ventilation pipe network under the current external environment by judging which typical working condition the current climate condition belongs to through a pattern recognition algorithm. For example, in the cold season under low temperature and high humidity conditions, the system will predict a high-efficiency refrigeration mode, and in the warm season under high temperature and low humidity conditions, it may adjust to a heat preservation and protection mode.

[0034] Secondly, the system will reconstruct the three-dimensional temperature field distribution map of the entire ventilation pipe group based on the determined expected working mode and the multi-point temperature and humidity monitoring data inside the pipe network using a spatial interpolation algorithm. This temperature field distribution map can intuitively show the heat distribution in the pipe network system, accurately identify the high-temperature area, low-temperature area and temperature transition zone. The control module 110 will generate differentiated temperature control instructions according to the distribution characteristics of the temperature field, such as instructing the fan in the detected high-temperature aggregation area to increase the operating power or extend the working time; while for the area with normal temperature, keep low power operation or temporarily shut down the fan. This differentiated control avoids the "one-size-fits-all" extensive regulation and realizes precise directional cooling.

[0035] Finally, the system will comprehensively analyze the long-term monitored ground temperature data to generate dynamic temperature regulation instructions. These ground temperature sensors buried in the lower part of the roadbed record the thermal condition change trend of the permafrost layer over the years. The control module 110 can judge the actual effect of the current temperature control measures on the protection of permafrost by establishing a permafrost thermal stability evaluation model. When the ground temperature data shows that the upper limit of permafrost is abnormally warmed or the thermal stability is decreased, the system will automatically increase the overall working strength of the ventilation pipe group, and may take measures such as increasing the operating power of all fans and extending the overall operation time; on the contrary, when the ground temperature data shows that the permafrost is in a good stable state, the overall operation strength will be appropriately reduced to save energy. This dynamic regulation mechanism based on ground temperature feedback ensures that the entire system is always in the optimal operating state.

[0036] In some embodiments, the diffuse intelligent temperature control ventilation pipe group cooling control system provided by the embodiments of the present application can further include a power generation module and an energy storage module, the power generation module is connected with the energy storage module, and is used to provide electric quantity; the energy storage module is connected with the data acquisition module 130 and the temperature control module 120 respectively, and is used to store electric quantity and supply power for the data acquisition module 130 and the temperature control module 120. Figure 1 on the basis of Figure 2 and Figure 3 , Figure 2 is a layout schematic diagram of the diffuse intelligent temperature control ventilation pipe group cooling control system provided by the embodiments of the present application. Figure 3 is a layout plane schematic diagram of the diffuse intelligent temperature control ventilation pipe group cooling control system provided by the embodiments of the present application.

[0037] The power generation module in the embodiments of the present application can specifically include a wind turbine 1 and a solar panel 2, and the energy storage module can be a storage battery, which can specifically be a buried gel battery 6. The wind turbine 1 and the solar panel 2 jointly constitute a wind-solar complementary power generation module, and the electrical energy is transmitted to the buried gel battery 6 through a power cable 5 for storage, thereby providing stable and reliable power supply for the whole dispersed intelligent temperature control ventilation pipe group cooling control system 100. The small off-grid power generation system composed of the wind turbine 1, the solar panel 2, the power inverter and the buried gel battery 6 provides power energy supply for the operation of the temperature monitoring device and the pipe mouth cooling vortex fan. Further, the dispersed intelligent temperature control ventilation pipe group cooling control system 100 and the solar photovoltaic panel can be connected through special wires, and the generator set, the photovoltaic assembly and the storage battery are configured according to the installation number and the power consumption of the vortex fan in the temperature and humidity monitoring system and the pipe network cooling system; the size of the solar photovoltaic panel should not be less than 540mm×670mm, and the output power should not be less than 150W; the storage battery should be a buried gel anti-freezing lead-acid storage battery with a capacity of not less than 120AH.

[0038] The frozen soil roadbed 14 is provided with an air inlet 15, air enters through the air inlet 15, is first collected into the main air pipe, is then distributed into the dispersed ventilation pipe network 13 under the drive of the variable frequency vortex fan 9, and is finally discharged from the air outlet 8. The power of the variable frequency vortex fan 9 is provided by the temperature control box 3 on the concrete base 7 beside the fan, and the control core temperature control main board 4 of the system is installed in the box. The pipe outside temperature and humidity sensor 12 is arranged outside the pipe network, the pipe inside temperature and humidity sensor 11 and the temperature control slave board 10 are arranged at key positions inside the pipe network to constitute a distributed monitoring network, which is responsible for collecting detailed environmental data of each pipe section. These data are transmitted to the temperature control main board through a cable.

[0039] In some embodiments, the temperature control module 120 can include one main temperature control unit and a plurality of slave temperature control units, the main temperature control unit is arranged on the temperature control main board, and each slave temperature control unit is arranged on a corresponding temperature control slave board; the data acquisition module 130 can include one main data acquisition unit and a plurality of slave data acquisition units, the main data acquisition unit, that is, the pipe outside temperature and humidity sensor 12, can be arranged on the temperature control main board, and is used for acquiring external environmental data of the roadbed, and the slave data acquisition unit, that is, the pipe inside temperature and humidity sensor 11, can be arranged on the corresponding temperature control slave board, and is used for acquiring internal environmental data of the pipe network.

[0040] Please continue to see Figure 4 , Figure 4The system hardware arrangement schematic diagram provided by the embodiment of the application. The dispersion type intelligent temperature control ventilation pipe group cooling control system 100 provided in the embodiment of the application adopts a layered distributed architecture at the hardware level, and the core hardware includes an MCU (Master Control Unit) installed at the side of the subgrade slope foot, an SCU (Slave Control Unit) installed at the adjacent position of the outer wall of the ventilation pipe, a cloud server, a local device, an external supporting power supply device and the like. The hardware system development environment can be based on an STM32 microcontroller as the main control board. On the hardware, the temperature acquisition module is constructed based on an STH35 sensor, high-precision temperature data acquisition (error ≤0.5℃) is realized through an IIC bus, the sensor is connected with the MCU through an SCL / SDA interface, data transmission is realized between the master and slave temperature control units through LoRa communication, program debugging and running state monitoring are realized through a SecureCRT serial port terminal, and a complete embedded development closed loop is formed.

[0041] Among them, the MCU as the core of the intelligent temperature control system, not only for, real-time acquisition and record the temperature and humidity data of the subgrade external environment, but also can according to the system set temperature control threshold, data analysis and processing, automatically generate control instruction and issue temperature control from the board. In addition, the MCU carries 4G / 5G communication module, with cloud platform for data transmission, can realize the remote operation and management of temperature control system. The SCU is used for internal data acquisition and control of pipe network and start-stop of fan on the one hand, and is used for real-time monitoring of battery power state on the other hand, to ensure stable power supply of the system. The MCU and the SCU realize data interaction through the LoRa wireless communication module, the communication protocol not only guarantees the reliability of data transmission of the temperature control system, but also supports the flexible networking architecture of "one master and multiple slaves", which significantly improves the overall scalability of the system.

[0042] In terms of hardware, the control module 110 can specifically include a cloud server and a pipe network temperature control terminal device, and the cloud server and the pipe network temperature control terminal device can be connected in communication through 4G or 5G. The cloud server is a core component of a cloud computing facility and is a key technical carrier for building an intelligent temperature control pipe network system. It mainly consists of a remote data center, supporting server hardware, a data operating system, and application programs, etc., and is used to realize storage of pipe network temperature and humidity monitoring data, internet connection data transmission, and to provide remote data management and monitoring functions for the intelligent temperature control system. The pipe network temperature control terminal device consists of portable handheld terminals, desktop computers, smart phones, etc., and is used to remotely realize temperature and humidity data reading, working state display, and related control instruction issuing of the intelligent temperature control pipe network, mainly including adjusting the field data collection frequency, changing the set temperature and humidity control threshold, starting / stopping the fan action, etc. Thus, the management efficiency of the intelligent temperature control pipe network is further improved, the stable operation of the system is ensured, and dynamic and accurate temperature control inside the dispersion type ventilation pipe group is remotely realized. The terminal is the management core of the dispersion type intelligent temperature control ventilation pipe group cooling control system in permafrost regions, supports simultaneous management of 100-200 temperature control node devices, and can provide real-time monitoring, batch control, data analysis, alarm management, etc. The system adopts a B / S architecture, can support multi-user permission management, and ensures efficient operation and maintenance of large-scale equipment.

[0043] In some embodiments, the temperature control module 120 can include one main temperature control unit and multiple slave temperature control units, the main temperature control unit is arranged on the temperature control mainboard, and each slave temperature control unit is arranged on a corresponding temperature control slave board; the data acquisition module 130 can include one main data acquisition unit and multiple slave data acquisition units, the main data acquisition unit, i.e., the pipe outside temperature and humidity sensor 12, can be arranged on the temperature control mainboard and used to acquire the pipe outside environment data, and the slave data acquisition unit, i.e., the pipe inside temperature and humidity sensor 11, can be arranged on the corresponding temperature control slave board and used to acquire the pipe inside environment data.

[0044] The temperature control module 120 composed of the temperature control mainboard and the temperature control slave board adopts a layered data processing model to realize full-cycle management of the pipe network temperature and humidity data. The system is mainly used to store, process, and analyze the acquired pipe inside and outside temperature and humidity data, and when the temperature and humidity monitored by the temperature control system exceeds the preset range, the frequency conversion speed of the vortex fan at the pipe opening is automatically linked to adaptively adjust the pipe network environment temperature to maintain appropriate temperature and humidity inside the roadbed.

[0045] The temperature control mainboard, as the control core of the system, is deployed in the open area outside the ventilation roadbed pipe, is responsible for data transmission between the cloud server, and is responsible for communication and data exchange with multiple temperature control slave boards and sending temperature control instructions. Figure 2 and Figure 4Continuing to refer to Figure 5 , Figure 5 The internal structure of the temperature control mainboard provided by the embodiment of the application is shown in the figure.

[0046] The main control chip of the temperature control mainboard is the core processing unit of the whole system, which is equivalent to the brain of the intelligent temperature control system. It adopts a high-performance embedded processor architecture and is responsible for coordinating and controlling the collaborative work of all functional modules on the mainboard. The main control chip processes the timing signals from the clock timing module, the historical records of the data storage module, and the real-time monitoring data transmitted by the gateway LoRa module in real time, and fuses and analyzes these multi-source information through the built-in intelligent algorithm. Its core function is to execute complex control logic operations, generate fan control instructions according to the preset temperature threshold and optimization algorithm, and manage the data communication process with the cloud server, ensuring that the whole temperature control system can stably and reliably operate according to the design requirements.

[0047] The gateway LoRa module is the wireless communication hub between the main control unit and the distributed slave control unit, which adopts the LoRa spread spectrum communication technology with long distance and low power consumption. This module is responsible for establishing and maintaining the star network connection with multiple temperature control slave boards. On the one hand, it receives the real-time monitoring data inside the pipe network sent by the slave board, and on the other hand, it accurately issues the control instructions generated by the main control unit to the specified slave board. Its unique frequency hopping technology can effectively avoid signal interference, its strong penetration ability can adapt to complex terrain on the plateau, and its low power consumption characteristics can ensure long-term stable operation of the battery without external power supply, truly realizing the unified intelligent management of the dispersed ventilation pipe group.

[0048] The temperature control mainboard is installed with a DTU-4G / 5G signal module, which realizes cross-regional data transmission with the cloud server by using standard network communication protocols such as TCP / IP protocol. In addition, the access between the local pipe network temperature control terminal device and the cloud server also uses this communication protocol to build a complete data link between the terminal and the cloud.

[0049] In terms of signal transmission, the temperature control mainboard is installed with a DTU-4G / 5G signal module, which realizes cross-regional data transmission with the cloud server by using standard network communication protocols such as TCP / IP protocol. In addition, the access between the local pipe network temperature control terminal device and the cloud server also uses this communication protocol to build a complete data link between the terminal and the cloud. Further, the cloud server can realize data transmission between multiple temperature control mainboards, and thus realize large-scale cooling control of the dispersed ventilation pipe group.

[0050] The data transmission between the master module and the slave module of the temperature control system adopts LoRa (Long Range) communication standard based on spread spectrum technology for communication connection. By installing LoRa gateway on the temperature control master module and installing node LoRa wireless module on the slave module, local networking of the master and slave boards is completed, long-distance and low-power data transmission and exchange between one temperature control master module and multiple temperature control slave modules can be realized, and centralized transmission of temperature and humidity monitoring data and sending of temperature control instructions of the diffuse ventilation pipe group in the unmanned environment in the wild can be completed, realizing the flexible deployment architecture of “one master and multiple slaves”.

[0051] The clock timing module of the temperature control master board is the time reference unit of the system, which generates a stable time signal through a high-precision crystal oscillator circuit to provide unified time synchronization services for the entire temperature control system. This module not only records the real-time time information such as the current date and time, but more importantly, it is responsible for managing the timing acquisition task of the system - automatically triggering the data acquisition process according to the preset temperature control interval threshold to ensure that the temperature and humidity data inside and outside the pipe network can be accurately acquired periodically. The clock module also has a power failure protection function, which can maintain timing by relying on a backup power supply even if the system is temporarily powered off, ensuring the continuity of time data after power restoration.

[0052] The data storage module is responsible for recording and saving system operation data, and uses non-volatile memory to store three types of key data: first, real-time collected environmental data, including external temperature and humidity of the roadbed, multi-point temperature and humidity inside the pipe network, and ground temperature monitoring data; second, system operation status data, such as fan start-stop records, battery power change history, etc.; and third, system configuration parameters, including user-set temperature thresholds, control strategies, and other set values. These data not only provide historical references for control algorithms, but also are regularly uploaded to the cloud server through the DTU module to form long-term data archives, providing valuable information for permafrost thermal stability research.

[0053] The power module receives power input through an external 12-volt DC power supply interface and converts the input voltage to different voltage levels required by each functional unit of the main board using high-efficiency switching power supply design. The module can be integrated with multiple safety circuits such as overvoltage protection, undervoltage protection, and short circuit protection, which can effectively cope with the harsh power supply environment of frequent voltage fluctuations in high-altitude areas. The power module not only provides precise and stable operating voltage for core components such as the master control chip and the communication module, but also dynamically adjusts the power supply strategy of each unit through intelligent power management technology to minimize energy consumption while ensuring the integrity of system functions, ensuring that the system can operate normally for a longer period of time relying on the battery when there is no external power supply.

[0054] The temperature control mainboard mainly has the following functions: 1. Real-time acquisition of roadbed external air temperature and humidity change data; 2. Issue fan start-stop control instructions to the slave board; 3. Monitor and upload the pipe network internal temperature and humidity data collected by the slave board; 4. Carry industrial-grade 4G / 5G communication modules to realize data interaction with the cloud platform, and realize local remote visual management and parameter configuration.

[0055] The temperature control slave board is responsible for sending the pipe network internal monitoring data at different positions and units in the roadbed to the temperature control mainboard and executing temperature control instructions, and its internal structure is shown in Figure 5 The double boards cooperatively build a three-dimensional temperature and humidity sensing system for the pipe network. Please continue to refer to Figure 2 and Figure 4 based on Figure 6 , Figure 6 The temperature control slave board provided by the embodiment of the application is shown in the internal structure diagram. The temperature control slave board mainly has the following functions: 1. Real-time acquisition of pipe network internal temperature and humidity data; 2. Programmable setting of temperature control threshold and temperature control monitoring frequency, automatic control of fan start-stop; 3. Remote reception of fan control instructions issued by the main control board and execution.

[0056] Further, the temperature control slave board integrates real-time battery power monitoring function, which can monitor the battery and temperature control system operation state by collecting battery voltage, current power and other information, and realize remote low power alarm and system working state fault alarm functions of the intelligent temperature control system. The system can trigger an alarm and notify the temperature control terminal device manager through email, short message or other means.

[0057] The power detection module monitors the voltage and remaining power of the storage battery in real time through a high-precision sampling circuit, and converts these data into digital signals for the main processing unit.

[0058] The power module of the temperature control slave board receives power input through an external 12-volt DC power supply interface, and uses a high-efficiency voltage conversion circuit to stably convert the input power into the working voltage required by each functional module.

[0059] The temperature monitoring module uses a high-precision digital temperature sensor to collect temperature data inside the ventilation pipe network in real time. The module is connected to the main processing unit through a standard digital interface, converts the analog temperature signal into accurate digital readings, and the measurement results are directly used to determine whether to trigger the fan start condition, which is one of the most important data sources of the entire temperature control system.

[0060] The humidity monitoring module is also based on digital sensing technology and is specially used to measure the air humidity parameters inside the pipe network. This module works with the temperature monitoring module to form a complete monitoring system for the microclimate inside the pipe network and provides more comprehensive environmental data reference for the system.

[0061] The relay is the execution terminal of the system, and is directly responsible for the start-stop operation of the fan as a strong electric control component. When the main processing unit issues a control command according to the environmental monitoring data, the relay can quickly respond and turn on or turn off the power supply loop of the fan.

[0062] The following is an example of the hardware configuration of the dispersion type intelligent temperature control ventilation pipe group cooling control system 100: The hardware configuration of the temperature control mainboard includes 1, main control chip: (ARM Cortex-M4, 168MHz); 2, storage: 512KB Flash + 192KB RAM + external 8MB SPI Flash; 3, working temperature: -40℃ ~ +85℃; 4, power supply voltage: DC 12V (wide voltage input 9-15V); 5, power consumption: working state ≤2W, sleep state ≤50mA; 6, interface configuration: LoRa communication interface ×1; 4G / 5G communication interface ×1 (supporting full network access); temperature and humidity sensor interface ×2 (I2C / RS485); power management interface ×1; debugging interface ×1 (USB / UART). The temperature control mainboard can realize external temperature and humidity data acquisition (accuracy ±0.5℃), slave fan switch control logic, monitoring data uploading to the cloud (temperature and humidity, battery power), parameter configuration storage and management, system state monitoring and fault diagnosis and other functions.

[0063] The hardware configuration of the temperature control slave board includes: 1, main control chip: (low-power ARM Cortex-M4); 2, storage: 256KB Flash + 64KB RAM; 3, working temperature: -40℃ ~ +85℃; 4, power supply voltage: DC 12V; 5, power consumption: working state ≤1W, sleep state ≤20mA; 6, interface configuration: LoRa communication interface ×1; temperature and humidity sensor interface ×2; fan control interface ×1 (relay output); battery power detection interface ×1; working state indication LED ×3. The temperature control slave board can realize 1, internal temperature and humidity monitoring of the pipeline; 2, receiving mainboard control commands; 3, fan switch control execution; 4, real-time monitoring of battery power; 5, local data caching and reporting.

[0064] The technical parameters of the temperature and humidity monitoring sensor in the data acquisition module include: 1, output index: air temperature, relative humidity; 2, current power consumption: static current 100μA; working current 1.5mA (when measuring) power supply voltage: 7~18VDC; 3, working environment: -40℃~+75℃; 0~100%RH; 4, temperature measurement range: -40℃~+75℃, accuracy ±0.1℃ (+20℃~+50℃), resolution: 0.01℃; 5, humidity measurement range: 0~100%RH, accuracy 1.5%RH, resolution: 0.15%RH.

[0065] The configuration of the variable frequency vortex fan 9 includes: 1, power supply specification: DC 12V; 2, single machine power: 69.6W; 3, air pressure ≥300Pa, air volume ≥3m³ / s; 4, protection level: IP65 and above; 5, working temperature range: -40℃~+60℃, suitable for extreme climate in high-cold and high-altitude areas.

[0066] In terms of software architecture of the diffuse intelligent temperature control ventilation pipe group cooling control system 100, in order to realize the functions of permafrost area pipeline temperature and humidity monitoring and intelligent control, through master-slave collaborative architecture, environmental data acquisition, device control instruction issuing, multi-level data transmission and battery energy management are completed, and finally the pipe network temperature and humidity state maintenance and data visualization are realized. The software architecture of the diffuse intelligent temperature control ventilation pipe group cooling control system 100 adopts hierarchical modular design, realizes closed-loop management of environmental perception-decision control-execution feedback, meets the requirements of low-power operation, and ensures the all-weather reliable operation of the permafrost protection system. In addition, the system supports simultaneous management of multiple temperature control node devices, provides real-time monitoring, batch control, data analysis, alarm management and other functions. The system adopts B / S architecture, supports multi-user permission management, and ensures efficient operation and maintenance of large-scale devices.

[0067] After the software system is started, the temperature and humidity inside and outside the diffuse ventilation pipe network, the fan running state and the battery capacity and other data are monitored and collected in real time. The specific steps of the control module 110 in the temperature control operation can include: determining whether the monitoring time is reached, and in the case that the monitoring time is reached, determining whether the storage capacity of the energy storage module is higher than the preset capacity threshold; if the storage capacity of the energy storage module is higher than the preset capacity threshold, determining whether the pipe network temperature of the diffuse ventilation pipe network is higher than the external environment temperature; if the pipe network temperature is higher than the external environment temperature, controlling to start the fan of the diffuse ventilation pipe network, if the pipe network temperature is lower than the external environment temperature, determining the temperature difference value between the temperature and the external environment temperature; in the case that the temperature difference value is greater than the temperature difference threshold, controlling to start the fan of the diffuse ventilation pipe network, otherwise stopping the fan of the diffuse ventilation pipe network.

[0068] For example, please refer to Figure 7 , Figure 7The control logic schematic diagram of the diffused intelligent temperature control ventilation pipe group cooling control system provided by the embodiment of the application is shown. In the running process of the system, a hierarchical control strategy is adopted: when the fan is not running, periodic temperature control monitoring is performed according to a preset temperature control period; when the fan is started, the real-time regulation mode is switched to, and the fan is immediately turned off after the set condition is met. When the control logic is executed by the SCU each time, the battery state detection is preferentially performed, and if the power is less than 20%, the fan is forced to be turned off to protect the battery life. Under the condition that the battery power is sufficient, the system first judges whether the temperature in the pipe exceeds the set threshold value, and if it exceeds the threshold value, the fan is directly started; if the temperature is normal, the actual temperature difference is further calculated and compared with the preset temperature difference threshold value, and when the environmental temperature difference exceeds the set value, the fan is started, and when the threshold value is not reached, the fan is maintained in the off state. The temperature control mainboard sends a high-repetition measurement command, analyzes the monitoring data returned by the sensor (including CRC check), and converts it into a physical temperature value, and finally completes the data transmission of the master-slave equipment and the data transmission of the remote platform through LoRa and 4G / 5G. The control process realizes real-time and accurate regulation and control of the temperature and humidity state of the pipe network in the frozen soil subgrade through a three-level judgment mechanism (power detection→temperature judgment→temperature difference judgment).

[0069] The software system can realize real-time monitoring and remote parameter regulation of the equipment running data through the mobile phone APP, the system can synchronously display the temperature and humidity of the pipe inside / outside, the temperature control strategy and the equipment power state, support multi-dimensional parameter adjustment, have a visual operation interface and equipment linkage control function, and meet the requirements of accurate temperature control and energy saving management.

[0070] For example, the setting range of the temperature control interval can be 0-1440 minutes, the setting range of the temperature difference value can be 0-10 degrees Celsius, and the temperature threshold value can be 10-40 degrees Celsius.

[0071] The following is an explanation of testing and analyzing the diffused intelligent temperature control ventilation pipe group cooling control system 100. In order to effectively collect the temperature data inside the temperature control pipe network and analyze and evaluate the working efficiency of the diffused intelligent temperature control ventilation pipe group cooling control system 100, the embodiment of the application carries out intelligent temperature control system field test on the diffused ventilation subgrade arranged in a certain experimental section, the temperature control system monitoring frequency is set to 2h / time, and the temperature control threshold value is 10℃. Please refer to Figure 8 , Figure 8 The temperature monitoring curve schematic diagram of the diffused intelligent temperature control ventilation pipe group cooling control system provided by the embodiment of the application is shown.

[0072] The red curve in the figure represents the external environment temperature, which fluctuates greatly and has multiple temperature peaks exceeding 13℃, reflecting the typical climate characteristics of large diurnal temperature difference in plateau areas. The blue curve represents the internal temperature of the ventilation pipe network, which is always stable in the relatively flat interval of 9℃ to 11℃, significantly lower than the external temperature peak. The significant difference between the two curves reveals the core function of the system: when the external temperature fluctuates dramatically, the temperature control system effectively blocks the heat erosion of the roadbed by intelligently adjusting the fan operation, forming a stable low-temperature protection environment inside the pipe network. The black dotted line in the figure represents the temperature control threshold set by the system, and the internal temperature curve is always below this reference line, proving that the system successfully maintains the pipe network temperature within a safe range. This stable thermal protection layer effectively blocks the downward heat transfer, preventing the permafrost layer from melting, thereby significantly improving the thermal stability of the roadbed structure and ensuring the long-term safe operation of the road.

[0073] In terms of long-term ground temperature observation analysis, ground temperature monitoring sensors are buried in the lower part of the roadbed to continuously monitor the thermal status of the underlying permafrost of the roadbed. Please refer to Figure 9 , Figure 9 The dispersion-type intelligent temperature control ventilation roadbed temperature field distribution schematic provided for the embodiments of the present application.

[0074] The schematic uses a cross-sectional perspective to show the temperature field relationship between the width and depth of the roadbed, and reflects the thermal state after system regulation through different color areas and clear isotherms. As can be seen from the figure, the temperature shows a regular distribution from the road surface to a depth of minus fifteen meters: the shallow area near the ground surface is mainly green and light blue, with a temperature close to zero degrees but still within the controllable range; as the depth increases, it gradually transitions to the deep blue area representing low temperature, forming a stable low-temperature core area below the minus zero point four degrees Celsius isotherm. This temperature distribution pattern shows that the dispersion-type ventilation pipe group effectively establishes a cold reserve inside the roadbed, limiting external heat disturbance to the surface area, while the deep soil body always maintains a low-temperature environment conducive to permafrost protection. The smooth distribution characteristics of the isotherms further prove that the system achieves the dispersion effect of uniform cooling, avoiding local heat aggregation, providing comprehensive thermal protection for the permafrost roadbed and ensuring the thermal stability of the road foundation.

[0075] As can be seen from the figure, compared with the temperature state of the frozen soil under the natural ground, the underlying permafrost of the intelligent temperature control roadbed is basically not affected by the construction of the highway, and the thermal stability state remains basically stable; the lower permafrost upper limit on the sunny slope side is close to the upper limit position under the natural ground surface, and the lower permafrost upper limit on the shady slope side has been lifted to the inside of the roadbed. The permafrost temperature condition is stable, and the risk of thermal subsidence of the permafrost roadbed is significantly reduced.

[0076] In the above implementation process, the dispersion type intelligent temperature control ventilation pipe group cooling control system realizes the three-dimensional monitoring of the frozen soil thermal state through the effective combination of multi-dimensional data acquisition and intelligent control, the data acquisition modules are arranged at multiple positions of the roadbed slope foot side, the ventilation pipe outer wall and the roadbed lower part, the external environment, pipe network internal and ground temperature data are comprehensively acquired, and the three-dimensional monitoring of the frozen soil thermal state is realized. The control module generates accurate control instruction set based on these real-time data, which can not only dynamically adjust the data acquisition period to adapt to environmental changes, but also can keep the temperature difference between the inside and outside of the pipe network within the preset range by adjusting the fan working state, avoid the thermal disturbance of temperature sudden change to the roadbed, and thus improve the temperature control reliability of the permafrost roadbed. In addition, the system controls the cooperative work of the ventilation pipe group through intelligent start-stop logic, actively introduces cold quantity to reduce ground temperature in cold season, and reduces the invasion of hot air in warm season, so as to maintain the thermal balance of the roadbed all year round. This closed-loop control mechanism based on multi-source data fusion overcomes the limitations of traditional single temperature control method, effectively inhibits the development of frozen soil thawing and frost heaving diseases, and can guarantee the thermal stability of the roadbed structure.

[0077] The following is a specific application example of the dispersion type intelligent temperature control ventilation pipe group cooling control system provided in the present application. Taking the forced dispersion type ventilation pipe roadbed of the uplink line of a certain highway as an example, it is investigated that the length of this section of roadbed is 180 m, 30 pieces of dispersion type ventilation pipe network are arranged, the underlying permafrost of the roadbed is ice-rich and ice-saturated frozen soil, the thawing sinking grade is grade III-IV, the natural upper limit is 1.7-2.0 m, and the average annual ground temperature of the frozen soil is-0.28℃. The risk of frozen soil thermal melting is extremely high, and the intelligent temperature control ventilation pipe group control system and the cooling control method described in the present application can be used for thawing disease prevention and control.

[0078] Based on the layout schematic diagram and the hardware arrangement schematic diagram provided in the present application, the dispersion type intelligent temperature control ventilation pipe group cooling control system is built, and in each piece of dispersion type ventilation pipe network, a pipe-in temperature control slave board and a pipe-in temperature and humidity sensor are installed, totaling 30 groups. One group of pipe network temperature control master board and 30 groups of pipe-in temperature control slave boards are used to realize communication networking, the data receiving and sending function between the temperature control master board and the cloud server and the temperature control slave board is tested, and it is ensured that the communication state is stable and reliable. The system software is set up in the following way, a set of ventilation pipe network management account is established, and 30 groups of dispersion type temperature control monitoring pipe network are added in it: 1. Establish a system management account, log in to the intelligent temperature control management system through the webpage or client software, establish an administrator account; 2. Add a diffuse temperature control monitoring pipe network, add the diffuse pipe group that needs to be monitored in real time in the administrator account; Support multi-level cascade between different pipe pieces inside the diffuse pipe network; 3. Set the temperature control parameters of the diffuse pipe network, log in to the intelligent temperature control management system through the webpage or client software, set the temperature control system parameters, such as adjusting the temperature and humidity data collection frequency; Adjust the fan temperature control threshold value; 4. Control and read the internal parameters of the pipe network, read the internal temperature and humidity collection data of the pipe network, device battery power information, etc. in the intelligent temperature control management system; Remote control of fan start-stop action; 5. Historical data query, set data recording and storage functions in the intelligent temperature control management system; Statistical analysis of pipe network internal temperature control data, realize the highest / lowest temperature statistics; Draw temperature data record curve, such as 24 hours, 7 days, 30 days query, etc.; Review abnormal temperature records.

[0079] Enter the cloud intelligent temperature control management system, set the temperature control system parameters, adjust the temperature and humidity data collection frequency to 10 minutes / time; Adjust the fan start temperature threshold to 30℃, the fan start internal and external temperature difference threshold to 5℃, and the fan start internal and external humidity difference to 10%RH.

[0080] According to the above settings, complete the installation and commissioning of each unit module, remotely test the fan opening and closing function, and carry out long-term monitoring and recording of the temperature and humidity data in the pipe network. By analyzing the internal pipe network operation temperature and humidity data of the roadbed, possible faults can be predicted and early disease warning can be carried out.

[0081] It should be understood that each module of the system provided in the above embodiments is only exemplified by the division of each functional module in the above description, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0082] The above is only a specific embodiment of the present application, and is not intended to limit the scope of the present application. Not only for protecting permafrost area highway, the diffuse intelligent temperature control ventilation pipe group cooling control system provided in the embodiment of the present application can also be used in other types of buildings, municipal underground pipe corridors and industrial plants that need to use pipes for ventilation and heat dissipation, industrial cooling, etc.

[0083] The function modules in the above embodiments can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software function unit. In addition, the specific names of the function units and modules are only for the purpose of mutual distinction, and do not limit the protection scope of the embodiments of the present application.

[0084] Based on the same application concept, the embodiments of the present application also provide a diffuse intelligent temperature control method, which is applied to the diffuse intelligent temperature control ventilation pipe group cooling control system 100 in the above description.

[0085] The method comprises: receiving the working environment data sent from the temperature control module, generating a first control instruction set based on the working environment data, and sending the first control instruction set to the temperature control module to control the working state of the fan; or receiving a second control instruction set and generating a first control instruction, a second control instruction and a third control instruction based on the second control instruction set; wherein the first control instruction is used to instruct the data acquisition module to acquire the working environment data periodically, the second control instruction is used to instruct to keep the difference between the internal temperature of the diffuse ventilation pipe network and the external environment temperature within a preset difference range, and the third control instruction is used to instruct the fan start-stop logic of the diffuse ventilation pipe network.

[0086] Further, the method can further comprise: comparing the roadbed external environment data with preset seasonal regulation data to determine the expected working mode of the diffuse ventilation pipe network under the current climate condition; generating a temperature field distribution map of the diffuse ventilation pipe network based on the expected working mode and the pipe network internal environment data, and generating a differential temperature control instruction based on the temperature field distribution map; the differential temperature control instruction is used to instruct the working state of one or more fans in the diffuse ventilation pipe network; generating a dynamic temperature regulation instruction based on the ground temperature data, and the dynamic temperature regulation instruction is used to instruct the overall working state of the diffuse ventilation pipe network.

[0087] Compared with the prior art, the method has the following advantages: 1. Remote control and intelligent operation and maintenance: The remote wireless data transmission system allows users to remotely control the dispersion type pipe group through a smart phone, a computer or other device terminals, and can realize unmanned and intelligent operation and maintenance management of the ventilation pipe line under the extreme environment of the plateau. 2. Real-time monitoring and data management: The dispersion type intelligent temperature control pipe network system uses Internet of Things technology, and through temperature control master and slave modules, can realize real-time monitoring of the temperature and humidity state inside the pipe network, establish a dynamic threshold adjustment mechanism, and greatly improve the accuracy of pipe network management. At the same time, the system can analyze the pipe network operation temperature data inside the roadbed, predict possible faults, and give early disease warning. 3. Fine monitoring and temperature control: By installing temperature and humidity sensors inside and outside the pipe network, setting the collection frequency and temperature control threshold, and using an intelligent temperature control algorithm, high-precision temperature and humidity control of the dispersion type ventilation pipe group can be realized, with small monitoring error and fast system response speed.

[0088] Based on the same application concept, the embodiments of the present application also provide a computer device, which can include a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method as described in the foregoing description when executing the computer program.

[0089] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method for controlling the cooling of a group of diffuse intelligent temperature control ventilation ducts, characterized in that, The application is applied to a diffuse intelligent temperature control ventilation pipe group cooling control system, the diffuse intelligent temperature control ventilation pipe group cooling control system comprises a control module, a temperature control module and a data acquisition module; the data acquisition module is arranged on the side of a subgrade slope foot, the outer wall of a ventilation pipe and is buried in the lower part of a subgrade, and is used for acquiring working environment data of a diffuse ventilation pipe network; wherein the diffuse ventilation pipe network is arranged below the subgrade, the working environment data comprises external environment data of the subgrade, internal environment data of the pipe network and ground temperature data; the temperature control module is connected with the control module and the data acquisition module respectively, is used for receiving the working environment data and sending the working environment data to the control module, and controls the working state of a fan of the diffuse ventilation pipe network based on the received control instruction set; the control module is connected with the temperature control module; The method comprises: receiving the working environment data sent from the temperature control module, generating a first control instruction set based on the working environment data, and sending the first control instruction set to the temperature control module to control the working state of the fan; or receiving a second control instruction set and generating a first control instruction, a second control instruction and a third control instruction based on the second control instruction set; wherein the first control instruction is used to instruct the data acquisition module to collect the working environment data periodically, the second control instruction is used to instruct to keep the difference between the internal temperature of the diffuse ventilation pipe network and the external environment temperature within a preset difference range, and the third control instruction is used to instruct the fan start-stop logic of the diffuse ventilation pipe network.

2. The method of claim 1, wherein, The method further comprises: comparing the external environment data of the subgrade with preset seasonal regulation data to determine the expected working mode of the diffuse ventilation pipe network under the current climate condition; generating a temperature field distribution map of the diffuse ventilation pipe network based on the expected working mode and the internal environment data of the pipe network, and generating a differential temperature control instruction based on the temperature field distribution map; the differential temperature control instruction is used to instruct the working state of one or more fans in the diffuse ventilation pipe network; generating a dynamic temperature regulation instruction based on the ground temperature data, and the dynamic temperature regulation instruction is used to instruct the overall working state of the diffuse ventilation pipe network.

3. A diffuse intelligent temperature control ventilation tube group cooling control system, characterized in that, comprise a control module, a temperature control module and a data acquisition module; the data acquisition module is arranged on the side of a subgrade slope foot, the outer wall of a ventilation pipe and is buried in the lower part of a subgrade, and is used for acquiring working environment data of a diffuse ventilation pipe network; wherein the diffuse ventilation pipe network is arranged below the subgrade, the working environment data comprises external environment data of the subgrade, internal environment data of the pipe network and ground temperature data; the temperature control module is connected with the control module and the data acquisition module respectively, is used for receiving the working environment data and sending the working environment data to the control module, and controls the working state of a fan of the diffuse ventilation pipe network based on the received control instruction set; The control module is connected with the temperature control module, is used for receiving the working environment data sent from the temperature control module, generating a first control instruction set based on the working environment data, and sending the first control instruction set to the temperature control module to control the working state of the fan; or receiving a second control instruction set and generating a first control instruction, a second control instruction and a third control instruction based on the second control instruction set; wherein the first control instruction is used for instructing the data acquisition module to collect the working environment data periodically, the second control instruction is used for instructing to keep the difference between the internal temperature of the diffused ventilation pipe network and the external environment temperature within a preset difference range, and the third control instruction is used for instructing the fan start-stop logic of the diffused ventilation pipe network.

4. The diffuse intelligent temperature control vent tube cluster cooling control system of claim 3, wherein, The control module is specifically used for: comparing the roadbed external environment data with preset seasonal regulation data to determine the expected working mode of the diffused ventilation pipe network under the current climate condition; generating a temperature field distribution map of the diffused ventilation pipe network based on the expected working mode and the pipe network internal environment data, and generating a differential temperature control instruction based on the temperature field distribution map; the differential temperature control instruction is used for instructing the working state of one or more fans in the diffused ventilation pipe network; generating a dynamic temperature regulation instruction based on the ground temperature data; the dynamic temperature regulation instruction is used for instructing the overall working state of the diffused ventilation pipe network.

5. The diffuse intelligent temperature controlled vent tube cluster cooling control system of claim 3, wherein, The diffused intelligent temperature control ventilation pipe group cooling control system adopts a hierarchical distributed architecture, including a temperature control main board and a plurality of temperature control slave boards; The temperature control module includes a main temperature control unit and a plurality of temperature control units, the main temperature control unit is arranged on the temperature control main board, and each temperature control unit is arranged on the corresponding temperature control slave board; The data acquisition module includes a main data acquisition unit and a plurality of data acquisition units, the main data acquisition unit is arranged on the temperature control main board and is used for collecting the roadbed external environment data, and each data acquisition unit is arranged on the corresponding temperature control slave board and is used for collecting the pipe network internal environment data.

6. The diffuse intelligent temperature controlled vent tube cluster cooling control system of claim 3, wherein, The temperature control main board and the plurality of temperature control slave boards are connected in communication based on the LoRa communication standard.

7. The diffuse intelligent temperature controlled vent tube cluster cooling control system of claim 3, wherein, The diffused intelligent temperature control ventilation pipe group cooling control system further includes a power generation module and an energy storage module, the power generation module is connected with the energy storage module and is used for providing electric quantity; the energy storage module is connected with the data acquisition module and the temperature control module respectively and is used for storing electric quantity and supplying power for the data acquisition module and the temperature control module.

8. The diffuse intelligent temperature controlled vent tube cluster cooling control system of claim 7, wherein, The control module is further used for: determining whether the monitoring time is reached, and in the case that the monitoring time is reached, determining whether the storage electric quantity of the energy storage module is higher than a preset electric quantity threshold; if the storage electric quantity of the energy storage module is higher than the preset electric quantity threshold, determining whether the pipe network temperature of the diffused ventilation pipe network is higher than the external environment temperature; if the pipe network temperature is higher than the external environment temperature, controlling to start the fan of the diffused ventilation pipe network, and if the pipe network temperature is lower than the external environment temperature, determining the temperature difference between the temperature and the external environment temperature; In a case where the temperature difference value is greater than a temperature difference threshold value, a fan of the diffuse ventilation pipe network is controlled to start, otherwise the fan of the diffuse ventilation pipe network is stopped.

9. The diffuse intelligent temperature controlled vent tube cluster cooling control system of claim 3, wherein, The first control instruction is a set temperature control interval, the second control instruction is a set temperature difference value, and the third control instruction is a set temperature threshold value.

10. The diffuse intelligent temperature controlled vent tube cluster cooling control system of claim 9, wherein, The set temperature control interval ranges from 0 to 1440 minutes, the set temperature difference value ranges from 0 to 10 degrees Celsius, and the temperature threshold value ranges from 10 to 40 degrees Celsius.

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