Box-type transformer for shield tunneling machine and heat dissipation control method of box-type transformer

Abstract

The embodiment of the invention provides a box-type transformer for a shield tunneling machine and a heat dissipation control method of the box-type transformer. The box-type transformer comprises a transformer main body, a water-cooling heat dissipation device, an air-cooling heat dissipation device and a heat dissipation management device, a transformer chamber is arranged in the transformer main body; a heat exchanger of the water-cooling heat dissipation device is located in the air-cooling heat dissipation device, the air-cooling heat dissipation device is used for pumping hot air above the transformer chamber to the air-cooling heat dissipation device to be converted into cold air, and the cold air enters the bottom of the transformer chamber; the heat dissipation management device is used for collecting first temperature data, first pressure data, second temperature data, second pressure data and transformer monitoring data of the transformer main body; and according to the first temperature data, the first pressure data, the second temperature data, the second pressure data and the transformer monitoring data, dynamically adjusting operation parameters of the air cooling heat dissipation device and the water cooling heat dissipation device based on a fuzzy PID control algorithm. According to the invention, internal heat accumulation is reduced, and a good heat dissipation effect is realized.

Description

Technical Field

[0001] This application relates to the field of tunnel boring machine technology, and in particular to a box-type transformer for tunnel boring machines and its heat dissipation control method. Background Technology

[0002] During construction, the operational stability of electrical equipment affects the continuous tunneling of the entire project. The transformer, as the main power supply unit in the tunnel boring machine, is used to supply power to the drive, hydraulic, and control units.

[0003] Existing tunnel boring machines (TBMs) are mostly equipped with box-type transformers, and the commonly used cooling method is forced air cooling: exhaust fans are arranged at the bottom and top of the box, allowing air to flow upwards through the windings and heat dissipation channels, carrying away the heat generated during operation to reduce the internal temperature. However, due to the enclosed construction space and limited ventilation, the continuous heat dissipation from the drive, hydraulic, and control devices during tunneling leads to environmental heat accumulation, increasing the temperature around the box and reducing cooling efficiency. Simultaneously, dust, soil, and mortar are generated during construction, easily accumulating in the intake and exhaust channels and louvers, increasing flow resistance and causing localized blockages. As operating time increases, airflow circulation capacity further decreases, resulting in poorer heat dissipation from the transformer.

[0004] Therefore, there is an urgent need for a box-type transformer for tunnel boring machines to solve the problem of poor heat dissipation of existing box-type transformers. Summary of the Invention

[0005] This application provides a box-type transformer for tunnel boring machines and a heat dissipation control method thereof to improve the heat dissipation effect of the transformer.

[0006] In a first aspect, embodiments of this application provide a box-type transformer for a tunnel boring machine, comprising: a transformer body, a water-cooled heat dissipation device, an air-cooled heat dissipation device, and a heat dissipation management device;

[0007] The transformer body contains a transformer chamber and a cooling unit chamber;

[0008] The water-cooled heat dissipation device is installed inside the cooling unit and on the outside of the transformer body;

[0009] The air-cooled heat dissipation device is installed in the cooling unit chamber and the transformer chamber. A part of the water-cooled heat dissipation device is located inside the air-cooled heat dissipation device. The air-cooled heat dissipation device is used to draw hot air from above the transformer chamber to the air-cooled heat dissipation device, convert it into cold air, and allow the cold air to enter the bottom of the transformer chamber.

[0010] The heat dissipation management device is deployed on the transformer body. The heat dissipation management device is used to collect the first temperature data and the first pressure data of the air-cooled heat dissipation device, the second temperature data and the second pressure data of the water-cooled heat dissipation device, and the transformer monitoring data of the transformer body.

[0011] The heat dissipation management device is also used to dynamically adjust the operating parameters of the air-cooled heat dissipation device and the water-cooled heat dissipation device based on the first temperature data, the first pressure data, the second temperature data, the second pressure data and the transformer monitoring data, according to the fuzzy PID control algorithm, so as to achieve temperature control of the transformer body.

[0012] In one possible implementation, the air-cooled heat dissipation device includes: a hot air duct, a cold air duct, a first fan, and a second fan;

[0013] A portion of the hot air duct is deployed horizontally at the top of the transformer chamber, and another portion of the hot air duct is deployed vertically at the top of the cooling unit chamber.

[0014] The air inlet of the first fan is fixedly connected to the air outlet of the hot air duct, the air outlet of the first fan is fixedly connected to the air inlet of the cold air duct, the air outlet of the cold air duct is connected to the bottom of the transformer room, and the air outlet of the second fan is connected to the air inlet of the hot air duct.

[0015] In one possible implementation, the water-cooled heat dissipation device includes: an inlet water pipe, a heat exchanger, a return water pipe, a speed-regulating water pump, an inlet solenoid valve, and a return solenoid valve.

[0016] The drain end of the inlet pipe is connected to the inlet end of the heat exchanger, and the drain end of the heat exchanger is connected to the inlet end of the return pipe.

[0017] The heat exchanger is installed at the bottom of the hot air duct;

[0018] The variable speed water pump is fixedly installed on the water inlet pipe, the water inlet solenoid valve is fixedly installed on the water inlet pipe, and the water return solenoid valve is fixedly installed on the water return pipe.

[0019] In one possible implementation, the heat dissipation management device includes: a control device, an inlet air temperature sensor, an outlet air temperature sensor, an inlet air pressure sensor, an outlet air pressure sensor, an inlet water pressure sensor, a return water pressure sensor, an inlet water temperature sensor, and a return water temperature sensor.

[0020] The control device is electrically connected to the transformer body, the inlet air temperature sensor, the outlet air temperature sensor, the inlet air pressure sensor, the outlet air pressure sensor, the inlet water pressure sensor, the return water pressure sensor, the inlet water temperature sensor, and the return water temperature sensor.

[0021] The inlet water pressure sensor and the inlet water temperature sensor are installed alternately on the inlet water pipe, and the return water pressure sensor and the return water temperature sensor are installed alternately on the return water pipe.

[0022] In one possible implementation, the heat dissipation management device is further configured to dynamically adjust the operating parameters of the air-cooled heat dissipation device and the water-cooled heat dissipation device based on the first temperature data, the first pressure data, the second temperature data, the second pressure data, and the transformer monitoring data using a fuzzy PID control algorithm, so as to achieve temperature control of the transformer body, including:

[0023] The control device is used to establish a set of input variables based on the first temperature data, the first pressure data, the second temperature data, the second pressure data, and the transformer monitoring data;

[0024] The control device is used to establish fuzzy rules based on the set of input variables, and to perform calculations based on the fuzzy PID control algorithm and the fuzzy rules, and output target control parameters;

[0025] The control equipment controls the speed of the first fan and the speed-regulating water pump, as well as the opening degree of the inlet solenoid valve and the return solenoid valve, according to the target control parameters, so as to achieve temperature control of the transformer body.

[0026] In one possible implementation, an axial flow fan is also provided at the bottom of the transformer compartment of the transformer body;

[0027] The air-cooled heat dissipation device further includes: a flow guide baffle plate installed in the transformer room, the flow guide baffle plate being located above the axial flow fan.

[0028] Secondly, embodiments of this application provide a heat dissipation control method for a box-type transformer used in a tunnel boring machine, applied to the first aspect and / or various possible heat dissipation management devices of the first aspect, including:

[0029] Acquire first temperature data, first pressure data, second temperature data, second pressure data, transformer monitoring data of the transformer body, transformer fixed parameters, and heat generation of other electrical equipment;

[0030] Based on the first temperature data, the first pressure data, the second temperature data, the second pressure data, the transformer monitoring data, the transformer fixed parameters, and the heat generation of the other electrical equipment, establish an input variable set and a feedforward compensation function;

[0031] A fuzzy rule base is established based on the input variable set, and the target control parameters are output based on the fuzzy PID control algorithm, the feedforward compensation function, and the fuzzy rule base.

[0032] The speed of the first fan and the speed-regulating water pump, as well as the opening degree of the inlet and outlet solenoid valves, are controlled according to the target control parameters to achieve temperature control of the transformer body.

[0033] In one possible implementation, the transformer monitoring data includes the actual temperature of the transformer room, the load factor, and the transformer set temperature, and the transformer fixed parameters include no-load loss and load loss.

[0034] The step of establishing an input variable set and a feedforward compensation function based on the first temperature data, the first pressure data, the second temperature data, the second pressure data, and the transformer monitoring data includes:

[0035] Based on the first temperature data, a first temperature difference is determined, and based on the first pressure data, a first pressure difference is determined.

[0036] Based on the second temperature data, determine the second temperature difference, and based on the second pressure data, determine the second pressure difference;

[0037] The cooling efficiency coefficient is determined based on the first temperature difference, the first pressure difference, the second temperature difference, the second pressure difference, and the first preset cooling efficiency parameter.

[0038] The temperature deviation is determined based on the actual temperature of the transformer room and the set temperature of the transformer.

[0039] The temperature deviation rate is determined based on the temperature deviation and the actual temperature.

[0040] The heat data is determined based on the no-load loss, load loss, load factor, and heat generation of other electrical equipment.

[0041] Based on the heat data, cooling efficiency coefficient, and second preset cooling efficiency parameter, determine the feedforward compensation function;

[0042] The cooling efficiency coefficient, temperature deviation, temperature deviation rate, and heat data are used to establish an input variable set.

[0043] In one possible implementation, establishing a fuzzy rule base based on the input variable set includes:

[0044] The input variable set is normalized to obtain a fuzzy input variable set normalized to the range of a preset fuzzy set.

[0045] The set of fuzzy input variables is used as fuzzy rules to establish a fuzzy rule base.

[0046] In one possible implementation, the step of calculating and outputting target control parameters based on the fuzzy PID control algorithm, the feedforward compensation function, and the fuzzy rule base includes:

[0047] Based on the current set of fuzzy input variables, traverse the fuzzy rule base and calculate the activation degree of each fuzzy rule;

[0048] Using the activation degree of each fuzzy rule as the weight, the center value of the preset output membership function corresponding to each fuzzy rule is weighted and averaged to obtain the parameter to be controlled.

[0049] Based on the parameters to be controlled, the parameters are updated using the fuzzy PID control algorithm to obtain the updated parameters to be controlled.

[0050] Based on the parameters to be controlled and the feedforward compensation function, the target control parameters are output.

[0051] Thirdly, embodiments of this application provide an electronic device, including: a memory and a processor;

[0052] The memory stores computer-executed instructions;

[0053] The processor executes computer execution instructions stored in the memory, causing the processor to perform the second aspect and / or various possible implementations of the second aspect as described above.

[0054] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the second aspect and / or various possible implementations of the second aspect as described above.

[0055] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the second aspect and / or various possible implementations of the second aspect as described above.

[0056] This application provides a box-type transformer for tunnel boring machines and its heat dissipation control method. By setting up two spaces, a transformer chamber and a cooling unit chamber, inside the transformer body, an independent yet interconnected heat management channel is formed, improving the flow efficiency and stability of the heat dissipation airflow. By installing a water-cooled heat dissipation device inside the cooling unit chamber and extending it to the outside of the transformer body, a heat outlet path is established, realizing continuous heat dissipation, reducing insulation aging problems caused by heat accumulation, and extending the overall service life of the equipment. By setting up air-cooled heat dissipation devices in the cooling unit chamber and the transformer chamber, and placing the heat exchange components of the water-cooled heat dissipation device inside the air-cooled heat dissipation device, a closed airflow loop of top extraction, heat exchange and cooling, and bottom return is constructed. This realizes the rapid extraction of hot air accumulated above the transformer chamber and the cooling of the bottom area. The closed airflow loop improves the air heat exchange rate and flow field stability, reduces heat accumulation inside the box, and thus achieves a good heat dissipation effect.

[0057] Simultaneously, the heat dissipation management device collects first temperature and first pressure data from the air-cooled heat dissipation device, second temperature and second pressure data from the water-cooled heat dissipation device, and transformer monitoring data, constructing a multi-source sensing system covering both the air and liquid sides and relating to load status, achieving synchronous monitoring of heat dissipation status and heat generation intensity. Multi-dimensional data fusion can reflect the internal thermal balance of the transformer in real time, improving the response speed and judgment accuracy of temperature control. The heat dissipation management device dynamically adjusts the operating parameters of the air-cooled and water-cooled heat dissipation devices based on a fuzzy PID control algorithm, improving the adaptability and stability of temperature control, further enhancing overall safety and energy efficiency. Therefore, this application achieves continuous, controllable, and refined control of the transformer's main body temperature, solving the problem of limited transformer heat dissipation efficiency in continuous tunneling scenarios, which in turn affects operational stability. Attached Figure Description

[0058] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0059] Figure 1 The structural schematic diagram of the box-type transformer provided in this application Figure 1 ;

[0060] Figure 2 The structural schematic diagram of the box-type transformer provided in this application Figure 2 ;

[0061] Figure 3 A schematic flowchart illustrating a heat dissipation control method for a box-type transformer used in a tunnel boring machine, provided in an embodiment of this application.

[0062] Figure 4This is a schematic flowchart of a method for outputting target control parameters provided in an embodiment of this application;

[0063] Figure 5 A schematic diagram of the structure of the electronic device provided in this application.

[0064] Explanation of reference numerals in the attached figures:

[0065] 1-Heat exchanger; 2-First fan; 3-Hot air duct; 4-Cold air duct; 5-Inlet air temperature sensor; 6-Outlet air temperature sensor; 7-Inlet air pressure sensor; 8-Outlet air pressure sensor; 9-Second fan; 10-Guide baffle; 11-Inlet water pipe; 12-Return water pipe; 13-Inlet water solenoid valve; 14-Return water solenoid valve; 15-Inlet water pressure sensor; 16-Return water pressure sensor; 17-Inlet water temperature sensor; 18-Return water temperature sensor; 19-Speed-regulating water pump; 20-Transformer body; 21-Axial flow fan; High-voltage inlet room S1; S2-Cooling unit room; S3-Transformer room; S4-Low-voltage wiring room.

[0066] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0067] First, those skilled in the art should understand that these embodiments are merely for explaining the technical principles of this application and are not intended to limit the scope of protection of this application. Those skilled in the art can make adjustments as needed to adapt to specific application scenarios.

[0068] Secondly, it should be noted that, in the description of this application, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, an indirect connection through an intermediate medium, or the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0069] Furthermore, it should be noted that in the description of this application, the terms "upper," "lower," "front," "back," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0070] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0071] The inventive concept of this application lies in spatially decoupling and functionally coupling the heat-generating and heat-dissipating areas of the box-type transformer used in tunnel boring machines: independent transformer chambers and cooling unit chambers are set up inside the transformer body, with structural zoning ensuring that the main electrical circuit and the heat dissipation unit do not interfere with each other, while leaving channels and interfaces for subsequent heat dissipation. Through this spatial layout, a structural system is formed with the transformer chamber as the heat source cavity and the cooling unit chamber as the heat dissipation cavity, providing structural support for heat transfer.

[0072] In terms of heat dissipation, a collaborative working mode of air-cooled and water-cooled heat dissipation devices is adopted. The air-cooled heat dissipation device is responsible for airflow organization and circulation, drawing the hot air accumulated above the transformer room to the cooling unit chamber for cooling before returning it to the bottom of the transformer room. The heat exchange components of the water-cooled heat dissipation device are located inside the airflow channel of the air-cooled heat dissipation device, allowing heat to be transferred to the liquid cooling circuit as the airflow passes through, thereby achieving gas-liquid heat exchange within a limited volume. By using in-channel heat exchange, the heat transfer path is shortened, and intermediate thermal resistance is reduced.

[0073] In terms of control, a heat dissipation management system is used to uniformly schedule both air-cooled and water-cooled heat dissipation devices. This system collects temperature and pressure data from both the gas and liquid sides, and combines this data with transformer monitoring data from the transformer itself, using these as control inputs for fusion processing. Based on this, a fuzzy PID control algorithm is used to dynamically adjust the operating parameters of both types of heat dissipation devices, enabling the transformer's temperature to quickly converge and stabilize around a set target. This also includes adaptive adjustment under nonlinear and time-varying operating conditions.

[0074] Overall, this application achieves physical isolation between the heat source and the heat dissipation unit through structural partitioning, realizes efficient energy transfer through gas-liquid synergy through heat exchange within the channel, and achieves unified temperature control through fusion sensing and fuzzy PID, thus realizing sustainable heat dissipation of the box-type transformer.

[0075] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0076] Figure 1The structural schematic diagram of the box-type transformer provided in this application Figure 1 , Figure 2 The structural schematic diagram of the box-type transformer provided in this application Figure 2 .like Figure 1 and Figure 2 As shown, the box-type transformer for tunnel boring machines includes: a transformer body, a water-cooled heat dissipation device, an air-cooled heat dissipation device, and a heat dissipation management device. The transformer body is an integrally enclosed structure, containing a transformer chamber S3 and a cooling unit chamber S2. The transformer chamber S3 houses electromagnetic components and power supply elements, while the cooling unit chamber S2 houses the heat dissipation device. This partitioned arrangement ensures that overall heat dissipation operates without compromising electrical safety. The water-cooled heat dissipation device is installed inside the cooling unit chamber S2 and on the outside of the transformer body. Specifically, the water-cooled heat dissipation device is located on the outside of the transformer body and extends into the cooling unit chamber S2, forming a liquid circulation path under high-load operating conditions to absorb heat from the transformer body and dissipate it to the external environment, thus achieving efficient heat transfer. This external arrangement reduces the impact of dust in the construction environment on the operational stability of the cooling components and reduces the overall maintenance frequency.

[0077] The air-cooled heat dissipation device is installed in the cooling unit chamber S2 and the transformer chamber S3. A portion of the water-cooled heat dissipation device (such as a heat exchanger) is located within the air-cooled heat dissipation device. The air-cooled heat dissipation device draws hot air from above the transformer chamber S3 to the air-cooled heat dissipation device, converts it into cold air, and allows the cold air to enter the bottom of the transformer chamber S3. In other words, the air-cooled heat dissipation device is distributed between the transformer chamber S3 and the cooling unit chamber S2, forming a closed airflow channel inside the enclosure to achieve internal air circulation and heat transfer. This device can actively extract the high-temperature air accumulated in the upper space during transformer operation and allow it to flow back to the bottom after passing through the cooling path, thus forming a convection circulation inside the enclosure. Through this arrangement, the synergistic effect of gaseous and liquid cooling processes can be achieved within a limited space, improving overall heat dissipation efficiency.

[0078] The thermal management device is deployed on the transformer body to monitor and regulate the transformer's operating status and the working status of the heat dissipation components. The device has multiple data acquisition channels connected to the air-cooled heat dissipation unit, the water-cooled heat dissipation unit, and corresponding monitoring points on the transformer body. Specifically, the thermal management device collects first temperature and first pressure data from the air-cooled heat dissipation unit, second temperature and second pressure data from the water-cooled heat dissipation unit, and transformer monitoring data from the transformer body.

[0079] Based on the above, the heat dissipation management device is also used to dynamically adjust the operating parameters of the air-cooled and water-cooled heat dissipation devices according to the first temperature data, the first pressure data, the second temperature data, the second pressure data, and the transformer monitoring data, using a fuzzy PID control algorithm, to achieve temperature control of the transformer body. That is, based on the collected data, the heat dissipation management device dynamically adjusts the operating parameters of the air-cooling and water-cooling systems to maintain the internal temperature of the transformer housing within the target range. Through this dynamic control method, the transformer temperature can be kept stable under different loads and environmental conditions, reducing overheating or energy waste and improving the overall operational reliability. In summary, this application, through dynamic data acquisition and operating parameter adjustment, reduces the decrease in heat dissipation effect caused by environmental temperature fluctuations, and improves the overall operational stability and energy utilization rate of the tunnel boring machine.

[0080] Furthermore, the transformer body includes a high-voltage inlet compartment S1, a transformer compartment S3, a low-voltage connection compartment S4, the transformer body 20, a temperature controller, and a multi-function meter. For example... Figure 1 As shown, the high-voltage input chamber S1 is located at the left end of the entire device structure and is the entrance area for high-voltage power supply. This area is used to connect to the external high-voltage power supply line to provide primary input power to the transformer. Structurally, it is connected to the high-voltage side of the transformer body 20. The transformer chamber S3 is located in the middle, between the high-voltage input chamber S1 and the low-voltage connection chamber S4. A cooling unit chamber S2 is located between the high-voltage input chamber S1 and the transformer chamber S3. The low-voltage connection chamber S4 is located at the far right end and draws out the power after the transformer has stepped down to supply the load. The transformer body 20 is located inside the transformer chamber S3 and is arranged longitudinally along the device. Its input end (high-voltage side) is connected to the high-voltage input chamber S1, and its output end (low-voltage side) is connected to the low-voltage input chamber S4. The temperature controller 22 is installed in the low-voltage connection chamber S4 and is used to collect the temperature signal of the transformer body 20 in real time. The multi-function meter 23 is located in the low-voltage wiring compartment S4. It is used to measure and display parameters such as the transformer's operating voltage, current, and power factor, and provides operating status monitoring information. It is connected to the low-voltage side circuit of the transformer body 20.

[0081] In one embodiment, an air-cooled heat dissipation device is used to cool the transformer body. The device includes a hot air duct 3, a cold air duct 4, a first fan 2, and a second fan 9. The hot air duct 3 guides the high-temperature air from the transformer chamber S3 to exhaust, while the cold air duct 4 introduces cold air from the cooling unit chamber S2 into the transformer chamber S3, thus creating a closed-loop air-cooled heat dissipation path for efficient heat exchange and space temperature control. A portion of the hot air duct 3 is horizontally deployed in the top area of ​​the transformer chamber S3, specifically above the space where the transformer body generates high-temperature hot air. This portion of the hot air duct 3 facilitates the collection and guidance of rising hot air. Another portion of the hot air duct 3 is vertically deployed in the upper area of ​​the cooling unit chamber S2, introducing hot air into the cooling channel or connecting it to heat exchange equipment via a vertical path to release the heat energy of the hot air. The cold air duct 4 is located near the bottom of the transformer chamber S3.

[0082] The air inlet of the first fan 2 is fixedly connected to the exhaust port of the hot air duct 3, meaning the first fan 2 is installed at the end of the hot air duct 3 to drive the flow of hot air. The exhaust port of the first fan 2 is fixedly connected to the air inlet of the cold air duct 4, and the exhaust port of the cold air duct 4 is connected to the bottom of the transformer chamber S3. The cold air duct 4 guides the airflow discharged by the first fan 2 to the bottom of the transformer chamber S3, where heat exchange is completed to form hot air, which is then collected by the top hot air duct 3, achieving a closed-loop airflow. The exhaust port of the second fan 9 is connected to the air inlet of the hot air duct 3 to improve the efficiency of hot air circulation. Specifically, six second fans 9 are installed above the transformer chamber S3, with two second fans 9 forming a group, each aligned with the heat dissipation air ducts of the three windings of the transformer body 20. This embodiment, through the arrangement of vertically convection ducts and the coordinated use of two fans, constitutes a stable and efficient air-cooled heat exchange device, ensuring the response speed of temperature regulation and the uniformity of overall heat dissipation.

[0083] In one embodiment, a water-cooled heat dissipation device is used to cool the airflow in an air-cooled heat dissipation device. The water-cooled heat dissipation device includes an inlet pipe 11, a heat exchanger 1, a return water pipe 12, a variable-speed water pump 19, an inlet solenoid valve 13, and a return solenoid valve 14. These components together form a closed-loop circulating cooling water system, realizing the delivery, heat exchange, and return of the liquid cooling medium. The inlet pipe 11 is used to deliver cooling liquid to the heat exchanger 1 (such as a plate heat exchanger). The drain end of the inlet pipe 11 is connected to the inlet end of the heat exchanger 1 to ensure that the cooling liquid can enter the heat exchange area. The drain end of the heat exchanger 1 is connected to the inlet end of the return water pipe 12, allowing the liquid, after heat exchange, to return to the return water pipe 12 to complete the circulation. Heat exchanger 1 is installed at the bottom of hot air duct 3 (it can be embedded in the duct), so that its heat exchange surface is adjacent to the airflow channel of the air-cooled heat dissipation device. This allows for heat exchange between the airflow and the coolant as it flows through hot air duct 3, absorbing heat from the airflow and carrying it away through the coolant. The cooled air is then discharged through cold air duct 4, achieving a gas-liquid composite cooling structure. It should be noted that the specific component installation method can be flexibly set according to the actual scenario and requirements, as long as it enables the hot air in hot air duct 3 to be cooled by heat exchanger 1 to obtain cold air, which is then transported to the transformer room through the cold air duct. No specific limitations are imposed here.

[0084] A variable-speed water pump 19 is fixedly installed on the inlet pipe 11 to drive the cooling liquid to circulate within the water-cooled heat dissipation device. An inlet solenoid valve 13 is fixedly installed on the inlet pipe 11 to control the flow rate and on / off status of the cooling liquid entering the heat exchanger 1. A return solenoid valve 14 is fixedly installed on the return pipe 12 to regulate the return flow rate and balance the flow of the cooling liquid. The cooling liquid can be water, and the water source can be a water tank, tap water pipe, or other device or equipment that can provide circulating water. The water source flows through the inlet pipe 11, sequentially through the variable-speed water pump 19, the inlet solenoid valve 13, and the heat exchanger 1. Then, it flows through the return pipe 12, sequentially through the return solenoid valve 14, and finally back to the water source. In this embodiment, the layout of the inlet pipe 11, the heat exchanger 1, and the return pipe 12 creates a stable heat exchange path for the cooling liquid inside and outside the transformer body. The inlet solenoid valve 13 and the return solenoid valve 14 work together to regulate the flow rate and switch the cooling on / off state. The variable speed water pump 19 provides circulating power, which, together with the efficient heat exchange of the heat exchanger 1, enables the liquid to continuously absorb heat from the gas, thereby achieving efficient heat dissipation through the synergy of air cooling and water cooling.

[0085] In one embodiment, the heat dissipation management device is used to collect and control the temperature and pressure of the box-type transformer used in the tunnel boring machine, thereby realizing dynamic adjustment of the air-cooled and water-cooled heat dissipation devices. The heat dissipation management device includes a control unit, an inlet air temperature sensor 5, an outlet air temperature sensor 6, an inlet air pressure sensor 7, an outlet air pressure sensor 8, an inlet water pressure sensor 15, a return water pressure sensor 16, an inlet water temperature sensor 17, and a return water temperature sensor 18. The control unit is electrically connected to the transformer body, the inlet air temperature sensor 5, the outlet air temperature sensor 6, the inlet air pressure sensor 7, the outlet air pressure sensor 8, the inlet water pressure sensor 15, the return water pressure sensor 16, the inlet water temperature sensor 17, and the return water temperature sensor 18. It is used to uniformly collect temperature and pressure data for both the air-cooling and water-cooling paths. For example, the control unit can be an industrial controller with a data acquisition module and a signal processing module, whose internal analog-to-digital conversion channel can convert the analog signals output by the sensors into digital signals. The control equipment is not only used to record the operating status of each monitoring point, but also to trigger corresponding control signals when the temperature or pressure exceeds the set threshold, so as to automatically adjust the operating parameters of air cooling and water cooling.

[0086] Specifically, inlet water pressure sensor 15 and inlet water temperature sensor 17 are installed alternately on the inlet water pipe 11 to monitor the pressure and temperature of the coolant before it enters the heat exchanger 1. This arrangement allows for the determination of whether the liquid flow is stable and whether the temperature of the cooling medium entering the heat exchanger 1 meets the set cooling conditions. Return water pressure sensor 16 and return water temperature sensor 18 are installed alternately on the return water pipe 12 to monitor the pressure and temperature changes of the liquid as it returns after heat exchange. By comparing the inlet and return water data, the heat transfer efficiency of the liquid in the heat exchanger 1 can be calculated, thereby dynamically adjusting the flow rate and pump speed.

[0087] Inlet air temperature sensor 5 and inlet air pressure sensor 7 are installed at the air inlet of hot air duct 3 to monitor the air temperature and airflow pressure entering the duct. Outlet air pressure sensor 8 and outlet air temperature sensor 6 are installed at the air outlet of cold air duct 4. These sensors detect the state of airflow after passing through the air-cooled heat dissipation device to determine the air heat exchange effect and ventilation resistance. By comparing inlet and outlet data, changes in air-cooled operating performance can be identified, and fan speed or other heat dissipation strategies can be optimized accordingly. Each sensor is connected to the control equipment via wires to form an electrical signal path. The control equipment comprehensively analyzes the temperature and pressure data from different sensors. Through this multi-point distributed acquisition method, the heat dissipation management device can achieve coordinated control of air cooling and water cooling, making the control process more precise and stable.

[0088] In one embodiment, the aforementioned heat dissipation management device is used to dynamically adjust the operating parameters of the air-cooled heat dissipation device and the water-cooled heat dissipation device based on a fuzzy PID control algorithm according to first temperature data, first pressure data, second temperature data, second pressure data, and transformer monitoring data, so as to achieve temperature control of the transformer body. Further explanation is provided below. This includes:

[0089] The control device is used to establish a set of input variables based on first temperature data, first pressure data, second temperature data, second pressure data, and transformer monitoring data. Specifically, the control device receives detection data from inlet air temperature sensor 5 and outlet air temperature sensor 6 as first temperature data; receives detection data from inlet air pressure sensor 7 and outlet air pressure sensor 8 as first pressure data; receives detection data from inlet water temperature sensor 17 and return water temperature sensor 18 as second temperature data; and receives detection data from inlet water pressure sensor 15 and return water pressure sensor 16 as second pressure data. Simultaneously, it receives transformer monitoring data from the transformer body 20, which includes real-time operating condition indicators such as operating temperature, current, voltage, and load rate. The control device uses this data to establish a set of fuzzy control input variables.

[0090] After establishing the input variable set, the control device uses this set to create fuzzy rules. The fuzzy rules are established by using membership functions to fuzzify the input variables and constructing several "if-then" control rules to express the correspondence between the operating states and parameter adjustments of various devices under different heat dissipation requirements. Based on this, the target control parameters are calculated using a fuzzy PID control algorithm and the fuzzy rules. For example, the target control parameters include fan speed, water pump speed, and solenoid valve opening.

[0091] The control equipment controls the first fan 2 according to the target control parameters to increase or decrease the air velocity in the hot air duct 3, thereby adjusting the heat exchange capacity of the heat exchanger 1. Simultaneously, the control equipment controls the speed of the variable-speed water pump 19 to regulate the cooling water circulation flow rate. By controlling the opening of the inlet solenoid valve 13 and the return solenoid valve 14, it further achieves precise control over the cooling water inflow and outflow, ensuring that the water-cooled heat dissipation device maintains high-efficiency heat exchange performance under various operating conditions, and achieving temperature control of the transformer body. In summary, through the fuzzy PID control strategy of this embodiment, the heat dissipation management device can dynamically adjust the cooperation mode of air cooling and water cooling according to the actual operating state of the transformer, reducing the instability problem of traditional PID algorithms in nonlinear systems, achieving more precise temperature control, extending equipment lifespan, and improving overall system energy efficiency.

[0092] In one embodiment, an axial flow fan 21 is also provided at the bottom of the transformer chamber S3 of the transformer body to guide the air inside the transformer chamber S3 upward to form a vertical ventilation flow path. The axial flow fan 21 is an air-cooled device with the fan axis as the airflow direction, and has the advantages of simple structure, clear air delivery direction, and large air volume. The axial flow fan 21 is installed at the ventilation opening at the bottom of the transformer chamber S3, with its air inlet side connected to the cold air (cold air on the cold air duct side) and its air outlet side facing the transformer body 20, so as to quickly exhaust hot air and reduce local temperature rise under high load or high temperature conditions.

[0093] Furthermore, the air-cooled heat dissipation device also includes a baffle plate 10 installed in the transformer room S3. The baffle plate 10 is located above the axial flow fan 21 and is arranged at an angle relative to the transformer body 20. Its main function is to guide the airflow blown by the axial flow fan 21 along a preset direction, forming a directional airflow path and reducing the occurrence of airflow turbulence or hot air short-circuiting. The baffle plate 10 can be made of high-strength metal materials or flame-retardant composite materials, possessing good heat resistance and mechanical stability, and is fixed to the internal frame structure of the transformer room S3 by a universal bracket. In summary, the axial flow fan 21 and the baffle plate 10 work together to form a clear vertical airflow path. When the axial flow fan 21 is running, it introduces low-temperature air from the bottom of the transformer room S3, and the baffle plate 10 directs the airflow to the gap between the transformer windings and the oil tank, thereby improving the cooling efficiency of key heat-generating parts. Compared with traditional natural ventilation structures, this configuration can enhance heat exchange speed, reduce hot spot formation, and improve heat dissipation efficiency.

[0094] Figure 3 This is a flowchart illustrating a heat dissipation control method for a box-type transformer used in a tunnel boring machine, provided in an embodiment of this application. The heat dissipation control method is applied to a heat management device (such as a PLC controller) and includes:

[0095] S31, acquire first temperature data, first pressure data, second temperature data, second pressure data, transformer monitoring data of the transformer body, transformer fixed parameters, and heat generation of other electrical equipment.

[0096] Specifically, the first temperature and first pressure data can be acquired by temperature and pressure sensors installed on the hot and cold air ducts. The second temperature and second pressure data are acquired by temperature and pressure sensors installed on the inlet and outlet water pipes. Transformer monitoring data from the transformer body reflects the real-time operating status of the transformer; for example, the monitoring data includes dynamic operating parameters such as the actual temperature of the transformer compartment, load current, winding temperature, or oil temperature. The transformer monitoring data from the transformer body is acquired in real time by measuring elements or monitoring devices (such as temperature controllers and multi-function meters) electrically connected to the transformer body.

[0097] Transformer fixed parameters are those determined during the transformer design or factory testing phase and remain essentially unchanged during operation, including no-load loss, load loss, and rated current. The heat generation of other electrical equipment represents the additional heat source from auxiliary electrical equipment (such as low-voltage components) located in the same installation space as the transformer. This heat generation is obtained through analysis of the power configuration and usage of the relevant equipment and can be considered a relatively stable parameter over a certain time scale.

[0098] In summary, by acquiring the first temperature data and the first pressure data, the current operating status of the air-cooled heat dissipation device can be fully reflected; by acquiring the second temperature data and the second pressure data, the heat exchange situation and water pump operation in the water-cooled heat dissipation path can be reflected; further, by combining the transformer monitoring data of the transformer body, the transformer fixed parameters, and the heat generation of other electrical equipment, a set of input variables covering the air-cooled side, the water-cooled side, and the load side can be formed, providing a multi-dimensional perception basis for heat dissipation control.

[0099] S32, based on the first temperature data, the first pressure data, the second temperature data, the second pressure data, the transformer monitoring data, the transformer fixed parameters, and the heat generation of other electrical equipment, establish the input variable set and the feedforward compensation function.

[0100] Specifically, based on the aforementioned multi-source data, a unified set of input variables is constructed using a pre-defined data fusion strategy. This set of input variables not only retains the instantaneous states of temperature and pressure but also incorporates dynamic trends within a time window, enhancing the perception dimension and predictive capability of subsequent control strategies. Simultaneously, a feedforward compensation function is established based on the lag in temperature response to historical load changes. This function is used to proactively correct control errors caused by temperature response delays, adjusting the control response of the heat dissipation device in advance when predicting load increases or ambient temperature fluctuations, thereby improving the rapid responsiveness and steady-state regulation capability of heat dissipation.

[0101] S33 establishes a fuzzy rule base based on the input variable set, and performs calculations based on the fuzzy PID control algorithm, feedforward compensation function, and fuzzy rule base to output the target control parameters.

[0102] The fuzzy rule base is constructed as a mapping set between combinations of input variables and target control behavior. Load current serves as a disturbance prediction factor for the feedforward channel, enhancing the ability to respond proactively to changes in heat dissipation demand. Winding temperature and oil temperature serve as feedback references for the current state of the controlled object. Based on real-time acquisition of various input parameters, the fuzzy PID control algorithm outputs target control parameters such as fan speed, pump speed, and solenoid valve opening through membership degree calculation and analysis mechanisms. Simultaneously, it incorporates a feedforward compensation function to predictively correct thermal disturbances caused by load current changes, improving control accuracy and response speed. This achieves dynamic adjustment and nonlinear compensation of the temperature control strategy, enhancing steady-state maintenance capabilities under complex operating conditions.

[0103] S34 controls the speed of the first fan and the speed-regulating water pump, as well as the opening degree of the inlet solenoid valve and the return solenoid valve, according to the target control parameters, so as to achieve temperature control of the transformer body.

[0104] In this embodiment, the operating status of the first fan, the speed-regulating water pump, and the inlet and outlet solenoid valves are adjusted in real time according to the generated target control parameters, thereby effectively controlling the temperature of the transformer body. Through multi-component linkage control, the heat dissipation capacity and cooling requirements of the air-cooling and water-cooling systems can be precisely matched according to the current heat load characteristics and heat dissipation channel status, thereby achieving stable heat dissipation of the transformer body, reducing overheating problems, extending equipment service life, and improving the reliability and energy efficiency ratio of the overall machine operation.

[0105] In one specific embodiment, the transformer monitoring data includes the actual temperature of the transformer room, the load factor, and the transformer set temperature, while the transformer fixed parameters include no-load loss and load loss.

[0106] Specifically, the actual temperature of the transformer room can be obtained in real time through temperature sensors, reflecting the thermal level of the environment where the equipment is located. The load factor refers to the ratio between the current load level of the transformer and its rated capacity. Specifically, the load factor is calculated based on the collected transformer load current and the transformer's rated current, using the formula: I / In, where I is the collected load current and In is the rated current. The load factor coefficient is usually a coefficient calculated based on the load factor and used for heat calculation. In this application, the load factor coefficient mainly refers to a coefficient used to weight no-load loss and load loss, reflecting the contribution of no-load loss and load loss to the total heat generation under different load conditions. For example, when the load current I is greater than 0, the coefficient corresponding to the no-load loss can be set to 1, and the coefficient corresponding to the load loss can be set to (I / In). 2When the load current I equals 0, the coefficient corresponding to the no-load loss is taken as 1, and the coefficient corresponding to the load loss is taken as 0. Introducing a load factor can more accurately reflect the actual heat load level under operating conditions. The transformer set temperature is the target thermal state required to be maintained by the cooling strategy, and is preset by maintenance personnel according to operational safety regulations.

[0107] No-load loss and load loss are fixed parameters obtained from the transformer's factory tests or type tests. They correspond to the power loss of the transformer under no-load and rated load operation, respectively, and remain relatively constant throughout the equipment's lifespan. No-load loss and load loss are stored in a database as inherent characteristic parameters of the transformer and can be directly accessed when performing heat data calculations or heat load estimations.

[0108] Next, the establishment of the input variable set and feedforward compensation function in step S32 above will be further explained. Based on the above embodiment, it includes:

[0109] S321, determine the first temperature difference based on the first temperature data, and determine the first pressure difference based on the first pressure data.

[0110] Specifically, the first temperature difference is determined by the difference between the inlet air temperature and the outlet air temperature at the inlet and outlet of the air-cooled circuit; the first pressure difference is determined by the difference between the inlet air pressure and the outlet air pressure at the corresponding locations.

[0111] S322, determine the second temperature difference based on the second temperature data, and determine the second pressure difference based on the second pressure data.

[0112] Specifically, the second temperature difference is obtained from the difference between the inlet water temperature and the return water temperature, with sampling points at the inlet and return water pipes, respectively; the second pressure difference is determined by the pressure difference measured by the pressure sensors on the inlet and return water sides.

[0113] S323, determine the cooling efficiency coefficient based on the first temperature difference, the first pressure difference, the second temperature difference, the second pressure difference, and the first preset cooling efficiency parameter.

[0114] Specifically, the formula for calculating the cooling efficiency coefficient is as follows:

[0115]

[0116] In the formula, η represents the cooling efficiency coefficient, ΔT1 represents the first temperature difference, ΔP1 represents the first pressure difference, ΔT2 represents the second temperature difference, ΔP2 represents the second pressure difference, and ɛ2 and ɛ3 both represent the first preset cooling efficiency parameters, with ɛ2 and ɛ3 being random decimals between 0 and 1. This calculation formula allows for a comprehensive analysis of the heat exchange efficiency of both gas and liquid cooling media, thereby obtaining a cooling efficiency index that better reflects actual operating conditions.

[0117] S324 determines the temperature deviation based on the actual temperature of the transformer room and the set temperature of the transformer.

[0118] Specifically, the temperature deviation is calculated based on the actual temperature of the transformer room and the preset transformer set temperature. This temperature deviation is expressed as the difference between the target temperature and the actual measured temperature. The sampling method can be real-time sampling or short-time averaging sampling to reduce the impact of transient errors on the deviation.

[0119] S325, determine the temperature deviation rate based on the temperature deviation and the actual temperature.

[0120] Specifically, the temperature deviation rate describes the rate of change of the deviation. The formula used is:

[0121]

[0122] Calculate the temperature deviation rate ec, where e represents the temperature deviation and t represents time.

[0123] S326, determine the heat data based on no-load loss, load loss, load factor and heat generation of other electrical equipment.

[0124] Specifically, the heat data is calculated using the formula: Q = k1P1 + k2P2 + ɛ1. Here, Q represents the heat data, P1 represents no-load loss, P2 represents load loss, k1 and k2 represent load factor coefficients corresponding to different load rates, reflecting the actual contribution ratio of no-load and load losses to heat power under different operating conditions, and ɛ1 represents the heat generated by other electrical equipment.

[0125] S327 determines the feedforward compensation function based on heat data, cooling efficiency coefficient, and second preset cooling efficiency parameter.

[0126] Specifically, the formula is as follows:

[0127]

[0128] Calculate the feedforward compensation function, where u 前馈 Let represent the feedforward compensation function, Q represent the heat data, η represent the cooling efficiency coefficient, and ɛ4 represent the second preset cooling efficiency parameter. ɛ4 is a random decimal between 0 and 1, used to prevent the denominator from approaching zero under high efficiency or low load conditions, ensuring the continuity and stability of the calculation. The output of the feedforward function is used to pre-adjust the control quantity, thereby starting to adjust the operating state of the heat dissipation device before sudden load changes, shortening the control response time, reducing temperature hysteresis, and lowering the temperature fluctuation amplitude.

[0129] S328 establishes a set of input variables based on cooling efficiency coefficient, temperature deviation, temperature deviation rate, and heat data.

[0130] Specifically, the cooling efficiency coefficient, temperature deviation, temperature deviation rate, and heat data are integrated to establish a set of input variables, providing a set of adjustable parameters for the control algorithm. This supports dynamic adjustment of the operating mode or operating power of the air-cooled heat dissipation device, improving the accuracy of the overall heat dissipation response and the thermal stability of the system.

[0131] In one embodiment, the establishment of a fuzzy rule base is further described herein, including:

[0132] S33a, Normalize the input variable set to obtain a fuzzy input variable set normalized to the preset fuzzy set range;

[0133] S33b, use the set of fuzzy input variables as fuzzy rules to establish a fuzzy rule base.

[0134] In this embodiment, the input variable set (temperature deviation, temperature deviation rate, heat data, and cooling efficiency coefficient) is normalized to uniformly map data from different physical quantity dimensions to a preset fuzzy set range, forming a fuzzy input variable set that can be used for fuzzy analysis. The normalization process includes: based on the historical maximum and minimum values ​​or preset upper and lower limits of each input variable, numerical compression or expansion is performed on the original variables such as temperature deviation, temperature deviation rate, heat data, and cooling efficiency coefficient, so that the value of each variable is mapped to a unified membership function definition range, such as [0, 1] or [-1, 1]. This process ensures that input variables of different dimensions and magnitudes have a unified processing standard, reducing rule skew caused by scale differences when directly performing fuzzy processing.

[0135] The normalized set of fuzzy input variables will serve as the foundation for constructing fuzzy rules and participating in the generation of the fuzzy rule base. Specifically, based on the value range of each fuzzy input variable, it is divided into several fuzzy subsets according to a preset membership function, such as labels like "low," "medium," "high," or "weak," "moderate," and "strong." For each input variable and its possible fuzzy state combinations, corresponding fuzzy condition terms are generated by backtracking using preset rules or historical data. These terms are then combined with the fuzzy definition of the output variable to form fuzzy rule entries in the form of "if...then...". For example, when the temperature deviation is "high," the heat is "strong," and the cooling efficiency is "low," the output control signal should correspond to fuzzy actions such as "force the fan to turn on" or "increase the cooling power." By traversing all valid combinations of the fuzzy input variable set, a set of fuzzy rules covering the main control scenario is automatically generated, ultimately forming the fuzzy rule base, which is used in subsequent fuzzy analysis steps to adjust and control the air-cooled heat dissipation device. The constructed fuzzy rule base has good scalability and interpretability, and can adapt to the dynamic control needs of multi-variable coupling effects under different operating conditions.

[0136] Figure 4 This is a schematic flowchart illustrating a method for outputting target control parameters provided in an embodiment of this application. In one embodiment, a further explanation of obtaining the target parameters in step S33 is provided. Based on the above embodiment, it includes:

[0137] S331, Based on the current set of fuzzy input variables, traverse the fuzzy rule base and calculate the activation degree of each fuzzy rule;

[0138] S332, using the activation degree of each fuzzy rule as the weight, performs a weighted average of the center values ​​of the preset output membership functions corresponding to each fuzzy rule to obtain the parameters to be controlled;

[0139] S333, update the parameters based on the fuzzy PID control algorithm according to the parameters to be controlled, and obtain the updated parameters to be controlled;

[0140] S334 outputs the target control parameters based on the parameters to be controlled and the feedforward compensation function.

[0141] In this embodiment, based on the current set of fuzzy input variables, all fuzzy rules in the fuzzy rule base are traversed one by one, and the activation degree of each fuzzy rule is calculated. Activation degree refers to the degree to which the current input condition matches the premise of a fuzzy rule, and is usually expressed as the minimum membership degree of the fuzzy set. For example, if a fuzzy rule premise contains the fuzzy states of multiple input variables, the activation degree of that rule is calculated by taking the minimum value of the fuzzy membership degrees of each input variable (such as min or product).

[0142] Next, for each activated fuzzy rule, a corresponding output membership function is pre-configured, and a representative center value is determined for this output membership function, such as the centroid or peak value, to represent the rule's suggested value for the control variable under the current operating conditions. Using the activation degree of each fuzzy rule as a weight, a weighted average is performed on the center values ​​of the output membership functions corresponding to all activated rules to calculate the quantized value of the parameter to be controlled. For scenarios using fuzzy PID control, this parameter to be controlled can be specifically represented as a set of parameter increments used to adjust the proportional coefficient, integral coefficient, and derivative coefficient, such as {ΔKp, ΔKi, ΔKd}.

[0143] To further enhance control accuracy and response capability, the controllable parameters are input into a fuzzy PID control algorithm. The fuzzy PID control algorithm combines the stability of a traditional PID (proportional-integral-derivative) controller with the adaptability of a fuzzy controller. In this scheme, the PID parameters are dynamically adjusted based on real-time operating data, and the control error is adjusted in conjunction with fuzzy analysis results to optimize and update the control strategy, thereby outputting the updated controllable parameters. Specifically, the PID parameter update includes: Kp = Kp0 (1+ΔKp), K i =K i0 (1+ΔK) i ), K d =K d0 (1+ΔK) d ).

[0144] Finally, to improve the overall rapid response capability of the adjustment, the updated control parameters are combined with a preset feedforward compensation function to obtain the final target control parameters. The specific formula used is:

[0145]

[0146] Calculate the overall control quantity u, where e is the temperature deviation, K p K i K d These are the proportional, integral, and derivative coefficients (after update). After being issued by the control equipment, they are mapped to the target speed of the first fan, the target speed of the speed-regulating water pump, and the target opening degree of the inlet and outlet solenoid valves, respectively. This allows for the coordinated adjustment of the air-cooled and water-cooled heat dissipation devices, completing the closed-loop control of the transformer's main body temperature.

[0147] Figure 5 A schematic diagram of the structure of the electronic device provided in this application. Figure 5 As shown, the electronic device 50 provided in this embodiment includes at least one processor 501 and a memory 502. Optionally, the electronic device 50 further includes a communication component 503. The processor 501, memory 502, and communication component 503 are connected via a bus 504.

[0148] In a specific implementation, at least one processor 501 executes computer execution instructions stored in memory 502, causing at least one processor 501 to perform the above-described method.

[0149] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0150] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0151] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0152] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0153] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0154] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0155] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0156] It is understood that the various numerical designations used in the embodiments of this application are merely for descriptive convenience and are not intended to limit the scope of the embodiments of this application.

[0157] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A box-type transformer for a tunnel boring machine, characterized in that, Includes: transformer body, water-cooled heat dissipation device, air-cooled heat dissipation device, and heat dissipation management device; The transformer body contains a transformer chamber and a cooling unit chamber; The water-cooled heat dissipation device is installed inside the cooling unit and on the outside of the transformer body; The air-cooled heat dissipation device is installed in the cooling unit chamber and the transformer chamber. A part of the water-cooled heat dissipation device is located inside the air-cooled heat dissipation device. The air-cooled heat dissipation device is used to draw hot air from above the transformer chamber to the air-cooled heat dissipation device, convert it into cold air, and allow the cold air to enter the bottom of the transformer chamber. The heat dissipation management device is deployed on the transformer body. The heat dissipation management device is used to collect the first temperature data and the first pressure data of the air-cooled heat dissipation device, the second temperature data and the second pressure data of the water-cooled heat dissipation device, and the transformer monitoring data of the transformer body. The heat dissipation management device is also used to dynamically adjust the operating parameters of the air-cooled heat dissipation device and the water-cooled heat dissipation device based on the first temperature data, the first pressure data, the second temperature data, the second pressure data and the transformer monitoring data, according to the fuzzy PID control algorithm, so as to achieve temperature control of the transformer body.

2. The box-type transformer for tunnel boring machines according to claim 1, characterized in that, The air-cooled heat dissipation device includes: hot air duct, cold air duct, first fan and second fan; A portion of the hot air duct is deployed horizontally at the top of the transformer chamber, and another portion of the hot air duct is deployed vertically at the top of the cooling unit chamber. The air inlet of the first fan is fixedly connected to the air outlet of the hot air duct, the air outlet of the first fan is fixedly connected to the air inlet of the cold air duct, the air outlet of the cold air duct is connected to the bottom of the transformer room, and the air outlet of the second fan is connected to the air inlet of the hot air duct.

3. The box-type transformer for tunnel boring machines according to claim 2, characterized in that, The water-cooled heat dissipation device includes: an inlet water pipe, a heat exchanger, a return water pipe, a speed-regulating water pump, an inlet solenoid valve, and a return solenoid valve; The drain end of the inlet pipe is connected to the inlet end of the heat exchanger, and the drain end of the heat exchanger is connected to the inlet end of the return pipe. The heat exchanger is installed at the bottom of the hot air duct; The variable speed water pump is fixedly installed on the water inlet pipe, the water inlet solenoid valve is fixedly installed on the water inlet pipe, and the water return solenoid valve is fixedly installed on the water return pipe.

4. The box-type transformer for tunnel boring machines according to claim 3, characterized in that, The heat dissipation management device includes: a control device, an inlet air temperature sensor, an outlet air temperature sensor, an inlet air pressure sensor, an outlet air pressure sensor, an inlet water pressure sensor, a return water pressure sensor, an inlet water temperature sensor, and a return water temperature sensor. The control device is electrically connected to the transformer body, the inlet air temperature sensor, the outlet air temperature sensor, the inlet air pressure sensor, the outlet air pressure sensor, the inlet water pressure sensor, the return water pressure sensor, the inlet water temperature sensor, and the return water temperature sensor. The inlet water pressure sensor and the inlet water temperature sensor are installed alternately on the inlet water pipe, and the return water pressure sensor and the return water temperature sensor are installed alternately on the return water pipe.

5. The box-type transformer for tunnel boring machines according to claim 4, characterized in that, The heat dissipation management device is further configured to dynamically adjust the operating parameters of the air-cooled heat dissipation device and the water-cooled heat dissipation device based on the first temperature data, the first pressure data, the second temperature data, the second pressure data, and the transformer monitoring data using a fuzzy PID control algorithm, in order to achieve temperature control of the transformer body, including: The control device is used to establish a set of input variables based on the first temperature data, the first pressure data, the second temperature data, the second pressure data, and the transformer monitoring data; The control device is used to establish fuzzy rules based on the set of input variables, and to perform calculations based on the fuzzy PID control algorithm and the fuzzy rules, and output target control parameters; The control equipment controls the speed of the first fan and the speed-regulating water pump, as well as the opening degree of the inlet solenoid valve and the return solenoid valve, according to the target control parameters, so as to achieve temperature control of the transformer body.

6. The box-type transformer for tunnel boring machines according to any one of claims 1 to 5, characterized in that, An axial flow fan is also installed at the bottom of the transformer chamber of the transformer body; The air-cooled heat dissipation device further includes: a flow guide baffle plate installed in the transformer room, the flow guide baffle plate being located above the axial flow fan.

7. A heat dissipation control method for a box-type transformer used in a tunnel boring machine, applied to the heat dissipation management device as described in claim 1, characterized in that, include: Acquire first temperature data, first pressure data, second temperature data, second pressure data, transformer monitoring data of the transformer body, transformer fixed parameters, and heat generation of other electrical equipment; Based on the first temperature data, the first pressure data, the second temperature data, the second pressure data, the transformer monitoring data, the transformer fixed parameters, and the heat generation of the other electrical equipment, establish an input variable set and a feedforward compensation function; A fuzzy rule base is established based on the input variable set, and the target control parameters are output based on the fuzzy PID control algorithm, the feedforward compensation function, and the fuzzy rule base. The speed of the first fan and the speed-regulating water pump, as well as the opening degree of the inlet and outlet solenoid valves, are controlled according to the target control parameters to achieve temperature control of the transformer body.

8. The method according to claim 7, characterized in that, The transformer monitoring data includes the actual temperature of the transformer room, the load factor, and the transformer set temperature. The transformer fixed parameters include no-load loss and load loss. The step of establishing an input variable set and a feedforward compensation function based on the first temperature data, the first pressure data, the second temperature data, the second pressure data, and the transformer monitoring data includes: Based on the first temperature data, a first temperature difference is determined, and based on the first pressure data, a first pressure difference is determined. Based on the second temperature data, determine the second temperature difference, and based on the second pressure data, determine the second pressure difference; The cooling efficiency coefficient is determined based on the first temperature difference, the first pressure difference, the second temperature difference, the second pressure difference, and the first preset cooling efficiency parameter. The temperature deviation is determined based on the actual temperature of the transformer room and the set temperature of the transformer. The temperature deviation rate is determined based on the temperature deviation and the actual temperature. The heat data is determined based on the no-load loss, load loss, load factor, and heat generation of the other electrical equipment. Based on the heat data, cooling efficiency coefficient, and second preset cooling efficiency parameter, determine the feedforward compensation function; The cooling efficiency coefficient, temperature deviation, temperature deviation rate, and heat data are used to establish an input variable set.

9. The method according to claim 7, characterized in that, The step of establishing a fuzzy rule base based on the input variable set includes: The input variable set is normalized to obtain a fuzzy input variable set normalized to the range of a preset fuzzy set. The set of fuzzy input variables is used as fuzzy rules to establish a fuzzy rule base.

10. The method according to claim 7, characterized in that, The target control parameters are calculated based on the fuzzy PID control algorithm, the feedforward compensation function, and the fuzzy rule base, and include: Based on the current set of fuzzy input variables, traverse the fuzzy rule base and calculate the activation degree of each fuzzy rule; Using the activation degree of each fuzzy rule as the weight, the center value of the preset output membership function corresponding to each fuzzy rule is weighted and averaged to obtain the parameter to be controlled. Based on the parameters to be controlled, the parameters are updated using the fuzzy PID control algorithm to obtain the updated parameters to be controlled. Based on the parameters to be controlled and the feedforward compensation function, the target control parameters are output.

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