A cooling triangle control system based on temperature field

Abstract

The present invention relates to the field of data processing technology, and specifically discloses a temperature field-based cooling triangle control system. The cooling triangle control system includes a temperature field reconstruction module, a temperature acquisition module, and a cold end optimization and adjustment module. The temperature field reconstruction module reconstructs the cooling triangle temperature field by arranging sensors. The temperature acquisition module acquires temperature data by combining sensors with hard wiring and the MODUBUS communication protocol, while performing real-time storage, preprocessing, and redundancy protection of the data through a distributed control system (DCS). The cold end optimization and adjustment module monitors the temperature distribution of the cooling triangle by receiving real-time temperature data provided by the temperature acquisition module and combining heat conduction equations, numerical calculation methods, and dynamic correction models. The present invention can accurately acquire temperature data of the temperature field, effectively improve the temperature control accuracy of the cooling triangle, and optimize the antifreeze protection and thermal efficiency of the cold end system.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and more particularly to a cooling triangle control system based on a temperature field. Background Art

[0002] In traditional indirect cooling tower cooling systems, the cooling triangle, a core heat sink widely used in large thermal power generation units, dissipates waste heat from the unit to the atmosphere. The cooling triangle typically consists of multiple heat exchange tube bundles, fins, and fans, removing heat through airflow. However, existing cooling triangle control systems face several challenges. First, the temperature distribution within the cooling triangle is uneven. Factors such as wind speed and coolant temperature can lead to low cooling efficiency in some areas, thus impacting the overall thermal efficiency of the unit. Second, in cold environments, the cooling system is prone to freezing. Especially in low temperatures, ice easily forms on the pipes and fins of the cooling triangle, severely degrading cooling performance and even causing equipment damage. Traditional antifreeze protection methods, typically based on experience and set temperature thresholds, lack precise temperature regulation and real-time antifreeze warnings, making them ill-suited to addressing extreme climate change. Furthermore, existing cooling systems often lack adequate temperature monitoring and control capabilities, lacking comprehensive, real-time monitoring of temperature changes and flow conditions within each individual section of the cooling triangle. Therefore, improving the temperature control accuracy of the cooling triangle and optimizing the antifreeze protection and thermal efficiency of the cold-end system are key challenges in the current development of indirect cooling tower cooling systems. Summary of the Invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a cooling triangle control system based on the temperature field, which collects temperature data of each area by arranging sensors, dynamically monitors the temperature distribution using mathematical models such as the heat conduction equation, realizes anti-freeze protection based on control logic, dynamically adjusts the working state of the cooling fan section and the cooling water distribution strategy according to temperature changes, and dynamically adjusts the return water temperature through the return water temperature control unit, thereby improving the temperature control accuracy of the cooling triangle, optimizing the anti-freeze protection and thermal efficiency of the cold end system, and solving the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A temperature field-based cooling triangle control system includes a temperature field reconstruction module, a temperature acquisition module, and a cold-end optimization and adjustment module. The temperature field reconstruction module reconstructs the temperature field of the cooling triangle by arranging sensors, and the sensors monitor the wall temperature and return water temperature. The temperature acquisition module acquires temperature data by combining sensors with hard wiring and the MODUBUS communication protocol, and performs amplification, filtering, and analog-to-digital conversion processing using a signal conditioning unit. A distributed control system (DCS) is also used to perform real-time data storage, preprocessing, and redundancy protection. The cold-end optimization and adjustment module receives real-time temperature data provided by the temperature acquisition module and, in combination with heat conduction equations, numerical calculation methods, and dynamic correction models, monitors the temperature distribution of the cooling triangle and implements antifreeze protection and cooling efficiency optimization based on control logic.

[0006] The cold end optimization and regulation module dynamically adjusts the cooling water distribution strategy to achieve the antifreeze protection and adjusts the water flow Q according to the temperature difference of each cooling triangle area. water To meet the cooling needs of different areas; the adjustment formula for setting the cooling water flow is as follows: Q new (x,y)=Q current (x,y)+ΔQ·(T threshold -T(x,y)), where Q new (x, y) is the cooling water flow rate after adjustment in the corresponding position (x, y), Q current (x, y) is the current cooling water flow rate in the corresponding area (x, y), ΔQ is the amplitude of water flow adjustment, T threshold is the preset safety temperature threshold, T(x,y) is the real-time temperature of the current position (x,y). When the temperature T(x,y) of the cooling area (x,y) approaches the set threshold T threshold When the cold end optimization adjustment module is based on the actual temperature difference T threshold -T(x,y) calculates the required increase in water flow rate ΔQ, thereby increasing more cooling water flow in the low temperature area.

[0007] As a further solution of the present invention, the temperature field reconstruction module realizes the reconstruction of the temperature field of the cooling triangle by arranging sensors, and the sensors monitor the wall temperature and return water temperature, including the following specific contents: the temperature field is reconstructed by arranging multiple temperature sensors, and the temperature sensors adopt three-wire PT100 thermal resistor sensors with high precision and good stability. Each cooling triangle heat exchange surface is installed with at least 6 temperature sensors, of which at least 2 temperature sensors are used to measure the wall temperature, and at least 1 temperature sensor is used to monitor the return water temperature. Through the sensors, temperature data can be collected in real time at various positions of the cooling triangle, covering the entire temperature distribution from the surface of the cooling triangle to the inside and outside of the return water pipe. In addition, all temperature elements are in close contact with the cooling tube bundle, avoiding interference with the measurement results due to air flow or external environmental factors.

[0008] In order to improve measurement accuracy, the location of the sensor arrangement has been carefully designed to ensure that the temperature collection point can represent the temperature changes in different areas of the cooling triangle. Especially in extremely cold areas, the convection ventilation intensity within the cooling triangle is relatively high, which may cause more drastic temperature changes in local areas and easily lead to localized uneven cooling. Therefore, the layout of the temperature element must fully consider the actual working conditions of the cooling triangle to avoid interference from factors such as wind and snow. In addition, the design of the sensor must ensure that the measuring element is not affected by the external environment, and sealing measures are used to prevent cold wind or rain and snow from entering the measuring point, thereby ensuring the reliability of the measurement data.

[0009] To ensure accurate return water temperature measurement, the temperature reconstruction module installs an insertable armored thermal resistor sensor at the return pipe outlet of each cooling triangle. These sensors are IP67 rated, ensuring they can operate properly in harsh environments and are protected from external factors such as water and dust. These sensors are directly inserted into the return pipe to collect real-time temperature data for the coolant return flow.

[0010] As a further solution of the present invention, the temperature acquisition module realizes temperature data acquisition by combining sensors with hard wiring and MODUBUS communication protocol, and uses a signal conditioning unit to amplify, filter and analog-to-digital conversion, while performing real-time storage, preprocessing and redundant protection of data through a distributed control system (DCS), including the following specific contents: The infrastructure of the temperature acquisition module includes multiple three-wire PT100 type thermal resistor sensors, which are arranged at multiple key positions of the cooling triangle, including the heat exchange surface, return pipe and other areas requiring temperature monitoring of the cooling triangle.

[0011] To ensure efficient temperature collection, all temperature data is hardwired into the temperature acquisition module and further transmitted to the distributed control system via the MODBUS communication protocol. This hardwiring reduces signal interference and transmission losses, improving the stability and accuracy of data transmission. The MODBUS communication protocol transmits data to the distributed control system in a standardized digital signal format via the RS485 communication interface, enabling centralized collection and real-time updating of temperature information for each cooling triangle. Furthermore, the distributed control system's remote I / O unit is equipped with a redundant design, ensuring that in the event of a single point of failure, the distributed control system can automatically switch to the backup module to ensure continuous data transmission.

[0012] After data collection, the distributed control system's processing unit (DPU) performs real-time storage and preprocessing of the collected temperature data, including noise removal, filtering, and outlier detection. The distributed control system not only handles real-time storage and preprocessing of data but also generates a temperature distribution map of the cooling triangle, helping operators quickly identify areas of abnormal temperature. All data and graphics are transmitted in real time to the operator and engineer stations, allowing operators to adjust the cooling system based on the temperature trend graphs, historical data, and alarm information displayed on the interface.

[0013] The temperature acquisition module has a built-in signal conditioning unit. The analog signal output by the temperature sensor is very weak, so the signal conditioning unit is required to increase the amplitude of the signal by amplifying the analog signal. The calculation formula for the analog signal amplification is: V out =G·V in , where V in is the input signal, V out is the output signal, G is the gain of the amplifier; the acquired signal will contain high-frequency noise and interference, so the signal conditioning unit uses a low-pass filter for filtering, and the calculation formula is: Where H(s) is the transfer function of the low-pass filter, s is the complex frequency domain variable in the Laplace transform, and τ is the time constant of the filter, defined as f c is the cutoff frequency of the filter, and the output signal of the filter V f It can be obtained by convolution with the input signal: h(t) is the impulse response of the filter. To facilitate further digital processing, the signal conditioning unit performs signal conversion, converting the analog signal into a digital signal through analog-to-digital conversion.

[0014] The DSC system also has a backup battery and UPS power supply, which can ensure the normal operation of the temperature acquisition module in the event of a main power outage.

[0015] As a further solution of the present invention, the cold end optimization and adjustment module receives the real-time temperature data provided by the temperature acquisition module, combines the heat conduction equation, numerical calculation method and dynamic correction model, monitors the temperature distribution of the cooling triangle, and implements antifreeze protection and cooling efficiency optimization based on control logic, including the following specific contents: the cold end optimization and adjustment module receives the temperature data provided by the temperature acquisition module, and dynamically monitors the temperature distribution of the cooling triangle through a built-in control algorithm, combined with a mathematical model and numerical calculation method, including the following steps:

[0016] Step Z1: The temperature distribution of the cooling triangle is described by the heat conduction equation. For a two-dimensional temperature field, the calculation formula of the heat conduction equation is: Where T is the temperature at position (x, y) and time t, α is the thermal diffusivity, Q is the heat source term, which represents the heat generation inside the cooling triangle, and (x, y) is the two-dimensional plane coordinate;

[0017] Step Z2: In order to solve the above equation in numerical calculation, the finite difference method is used to discretize it. For a grid node i, j, the discrete expression of temperature change is: Among them, T i n is the temperature value of the ith grid node at the nth time step, Δt is the time step, Δx and Δy are the space steps, and is the temperature value of the neighboring position of node i, and is the temperature value of the neighboring position of node j;

[0018] Step Z3: collect the temperature data T sendor (x, y, t) is used as the input value of the model calibration, and the temperature data of the sensor point is mapped to the discrete grid by the bilinear interpolation method: T model (x,y,t)=T s (x,y,t)+β(T sensor (x,y,t)-T s (x,y,t)), where T s (x, y, t) is the temperature value calculated based on the heat conduction equation, T sensor (x, y, t) is the sensor temperature data collected in real time, T model (x, y, t) is the temperature value after fusion, and β is the fusion weight coefficient.

[0019] The cold-end optimization and regulation module features antifreeze protection. Based on real-time temperature field data, it dynamically adjusts the operating status of cooling fan segments through control logic to prevent freezing damage caused by excessively low temperatures. Based on the changing trends of the temperature field, the control logic determines the scope of the low-temperature area and its impact. It compares the current temperature with a threshold and, in combination with the rate of temperature change, determines whether a freezing risk is imminent. If the temperature of a cooling fan segment is more than 20% lower than that of other areas, the cold-end optimization and regulation module prioritizes reducing the fan speed of that segment, thereby lowering the cooling intensity and minimizing heat loss from the cooling water.

[0020] In order to further enhance the antifreeze protection, the cold end optimization and regulation module will dynamically adjust the cooling water distribution strategy to ensure that the low temperature area in the cooling triangle is effectively heated and avoid freezing caused by low temperature. According to the temperature difference of each cooling triangle area, the water flow Q is adjusted. water To meet the cooling needs of different areas. The adjustment formula for setting the cooling water flow is as follows: Q new (x,y)=Q current (x,y)+ΔQ·(T threshold -T(x,y)), where Q new (x, y) is the cooling water flow rate after adjustment in the corresponding position (x, y), Q current (x, y) is the current cooling water flow rate in the corresponding area (x, y), ΔQ is the amplitude of water flow adjustment, T threshold is the preset safety temperature threshold, T(x,y) is the real-time temperature of the current position (x,y). When the temperature T(x,y) of the cooling area (x,y) approaches the set threshold T threshold When the cold end optimization and adjustment module is set, the actual temperature difference T threshold -T(x,y) is used to calculate the required increase in water flow rate, ΔQ, thereby increasing the cooling water flow in the low-temperature area. This improves the heat exchange efficiency in that area, helps restore its temperature, and avoids the risk of freezing.

[0021] The cold-end optimization and regulation module includes a built-in return water temperature control unit, which dynamically adjusts the return water temperature of each cooling triangle. When the return water temperature falls below the set minimum safety value, the control unit raises the return water temperature by increasing the cooling water flow rate or mixing in high-temperature makeup water. Conversely, when the return water temperature exceeds the target value, the control unit reduces the cooling water flow rate or increases the cooling intensity, such as by increasing the fan speed, to rapidly reduce the return water temperature.

[0022] The technical effects and advantages of the temperature field-based cooling triangle control system of the present invention are as follows: the present invention can accurately collect temperature data of each area by arranging high-precision three-wire PT100 thermal resistor sensors; dynamically monitor temperature distribution using mathematical models such as heat conduction equations, achieve precise antifreeze protection based on control logic, dynamically adjust the working status of the cooling fan segments and the cooling water distribution strategy according to temperature changes, and dynamically adjust the return water temperature through the return water temperature control unit, thereby effectively improving the temperature control accuracy of the cooling triangle and optimizing the antifreeze protection and thermal efficiency of the cold end system. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a structural schematic diagram of a cooling triangle control system based on temperature field in the present invention.

[0024] Figure 2 This is the layout diagram of the tank boxes in the indirect cooling tower of the present invention. DETAILED DESCRIPTION

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0026] Example 1

[0027] See Figure 1 As shown in the structural schematic diagram, an embodiment of the present invention provides a cooling triangle control system based on a temperature field, which includes a temperature field reconstruction module, a temperature acquisition module, and a cold end optimization and adjustment module; the temperature field reconstruction module realizes the reconstruction of the cooling triangle temperature field by arranging sensors, and the sensors monitor the wall temperature and return water temperature; the temperature acquisition module realizes temperature data acquisition by combining sensors with hard wiring and MODUBUS communication protocol, and uses a signal conditioning unit to amplify, filter and analog-to-digital conversion, and at the same time performs real-time storage, preprocessing and redundant protection of data through a distributed control system (DCS); the cold end optimization and adjustment module monitors the temperature distribution of the cooling triangle by receiving real-time temperature data provided by the temperature acquisition module, combining heat conduction equations, numerical calculation methods and dynamic correction models, and realizes anti-freeze protection and cooling efficiency optimization based on control logic.

[0028] Furthermore, the temperature field reconstruction module reconstructs the temperature field of the cooling triangle by arranging sensors, and the sensors monitor the wall temperature and return water temperature, including: reconstructing the temperature field by arranging multiple temperature sensors, and the temperature sensors use three-wire PT100 thermal resistor sensors with high precision and good stability. Each cooling triangle's heat exchange surface is installed with at least 6 temperature sensors, of which at least 2 temperature sensors are used to measure the wall temperature, and at least 1 temperature sensor is used to monitor the return water temperature. Through the sensors, temperature data can be collected in real time at various locations in the cooling triangle, covering the entire temperature distribution from the cooling triangle surface to the inside and outside of the return water pipe. In addition, all temperature elements are in close contact with the cooling tube bundle, avoiding interference with the measurement results due to air flow or external environmental factors.

[0029] In order to improve measurement accuracy, the location of the sensor arrangement has been carefully designed to ensure that the temperature collection point can represent the temperature changes in different areas of the cooling triangle. Especially in extremely cold areas, the convection ventilation intensity within the cooling triangle is relatively high, which may cause more drastic temperature changes in local areas and easily lead to localized uneven cooling. Therefore, the layout of the temperature element must fully consider the actual working conditions of the cooling triangle to avoid interference from factors such as wind and snow. In addition, the design of the sensor must ensure that the measuring element is not affected by the external environment, and sealing measures are used to prevent cold wind or rain and snow from entering the measuring point, thereby ensuring the reliability of the measurement data.

[0030] To ensure accurate return water temperature measurement, the temperature reconstruction module installs an insertable armored thermal resistor sensor at the return pipe outlet of each cooling triangle. These sensors are IP67 rated, ensuring they can operate properly in harsh environments and are protected from external factors such as water and dust. These sensors are directly inserted into the return pipe to collect real-time temperature data for the coolant return flow.

[0031] Furthermore, the temperature acquisition module realizes temperature data acquisition by combining sensors with hard wiring and MODUBUS communication protocol, and uses a signal conditioning unit to amplify, filter and perform analog-to-digital conversion processing, while performing real-time storage, preprocessing and redundant protection of data through a distributed control system (DCS), including: the infrastructure of the temperature acquisition module includes multiple three-wire PT100 type thermal resistance sensors, which are arranged at multiple key positions of the cooling triangle, including the heat exchange surface of the cooling triangle, the return pipe and other areas that require temperature monitoring.

[0032] To ensure efficient temperature collection, all temperature data is hardwired into the temperature acquisition module and further transmitted to the distributed control system via the MODBUS communication protocol. This hardwiring reduces signal interference and transmission losses, improving the stability and accuracy of data transmission. The MODBUS communication protocol transmits data to the distributed control system in a standardized digital signal format via the RS485 communication interface, enabling centralized collection and real-time updating of temperature information for each cooling triangle. Furthermore, the distributed control system's remote I / O unit is equipped with a redundant design, ensuring that in the event of a single point of failure, the distributed control system can automatically switch to the backup module to ensure continuous data transmission.

[0033] In this embodiment, see Figure 2 As shown in the layout diagram, the arrangement of trough boxes within the indirect cooling tower provides an efficient, secure installation and protection path for temperature sensors and signal transmission. The trough boxes are placed at key locations along the cooling triangle to ensure stable signal transmission and seamlessly connect with the MODBUS communication interface.

[0034] Furthermore, after data collection, the processing unit (DPU) within the distributed control system stores and preprocesses the collected temperature data in real time. The preprocessing includes noise removal, filtering, and outlier detection. The distributed control system not only processes real-time storage and preprocessing data, but also generates a temperature distribution map of the cooling triangle, helping operators quickly identify areas of abnormal temperature. All data and graphics are transmitted in real time to the operator station and engineer station, allowing operators to adjust the cooling system based on the temperature trend graph, historical data, and alarm information displayed on the interface.

[0035] The temperature acquisition module has a built-in signal conditioning unit. The analog signal output by the temperature sensor is very weak, so the signal conditioning unit is required to increase the amplitude of the signal by amplifying the analog signal. The calculation formula for the analog signal amplification is: V out =G·V in , where V in is the input signal, V out is the output signal, G is the gain of the amplifier; the acquired signal will contain high-frequency noise and interference, so the signal conditioning unit uses a low-pass filter for filtering, and the calculation formula is: Where H(s) is the transfer function of the low-pass filter, s is the complex frequency domain variable in the Laplace transform, and τ is the time constant of the filter, defined as f c is the cutoff frequency of the filter, and the output signal of the filter V f It can be obtained by convolution with the input signal: h(t) is the impulse response of the filter. To facilitate further digital processing, the signal conditioning unit performs signal conversion, converting the analog signal into a digital signal through analog-to-digital conversion.

[0036] The DSC system also has a backup battery and UPS power supply, which can ensure the normal operation of the temperature acquisition module in the event of a main power outage.

[0037] Furthermore, the cold end optimization and adjustment module receives the real-time temperature data provided by the temperature acquisition module, combines the heat conduction equation, numerical calculation method and dynamic correction model, monitors the temperature distribution of the cooling triangle, and implements antifreeze protection and cooling efficiency optimization based on the control logic, including: the cold end optimization and adjustment module receives the temperature data provided by the temperature acquisition module, and dynamically monitors the temperature distribution of the cooling triangle through the built-in control algorithm, combined with the mathematical model and numerical calculation method, including the following steps:

[0038] Step Z1: The temperature distribution of the cooling triangle is described by the heat conduction equation. For a two-dimensional temperature field, the calculation formula of the heat conduction equation is: Where T is the temperature at position (x, y) and time t, α is the thermal diffusivity, Q is the heat source term, which represents the heat generation inside the cooling triangle, and (x, y) is the two-dimensional plane coordinate;

[0039] Step Z2: In order to solve the above equation in numerical calculation, the finite difference method is used to discretize it. For a grid node i, j, the discrete expression of temperature change is: Among them, T i n is the temperature value of the ith grid node at the nth time step, Δt is the time step, Δx and Δy are the space steps, and is the temperature value of the neighboring position of node i, and is the temperature value of the neighboring position of node j;

[0040] Step Z3: collect the temperature data T sendor (x, y, t) is used as the input value of the model calibration, and the temperature data of the sensor point is mapped to the discrete grid by the bilinear interpolation method: T model (x,y,t)=T s (x,y,t)+β(T sensor (x,y,t)-T s (x,y,t)), where T s (x, y, t) is the temperature value calculated based on the heat conduction equation, T sensor (x, y, t) is the sensor temperature data collected in real time, Tmodel (x, y, t) is the temperature value after fusion, and β is the fusion weight coefficient.

[0041] The cold-end optimization and regulation module features antifreeze protection. Based on real-time temperature field data, it dynamically adjusts the operating status of cooling fan segments through control logic to prevent freezing damage caused by low temperatures. Based on the changing trends of the temperature field, the control logic determines the scope of the low-temperature area and its impact. It compares the current temperature with a threshold and, based on the rate of temperature change, determines whether a freezing risk is imminent. If the temperature of a cooling fan segment is more than 20% lower than that of other areas, the cold-end optimization and regulation module prioritizes reducing fan speed, thereby lowering cooling intensity and minimizing heat loss from the cooling water.

[0042] In order to further enhance the antifreeze protection, the cold end optimization and regulation module will dynamically adjust the cooling water distribution strategy to ensure that the low temperature area in the cooling triangle is effectively heated and avoid freezing caused by low temperature. According to the temperature difference of each cooling triangle area, the water flow Q is adjusted. water To meet the cooling needs of different areas. For example, the water flow Q in the low temperature area can be increased low , reducing the water flow Q in other areas high , so that the temperature in the low temperature area gradually returns to a safe range. The adjustment formula for setting the cooling water flow is as follows: Q new (x,y)=Q current (x,y)+ΔQ·(T threshild -T(x,y)), where Q new (x, y) is the cooling water flow rate after adjustment in the corresponding position (x, y), Q current (x, y) is the current cooling water flow rate in the corresponding area (x, y), ΔQ is the amplitude of water flow adjustment, T threshold is the preset safety temperature threshold, T(x,y) is the real-time temperature of the current position (x,y). When the temperature T(x,y) of the cooling area (x,y) approaches the set threshold T threshold When the cold end optimization and adjustment module is set, the actual temperature difference T threshold -T(x,y) is used to calculate the required increase in water flow rate, ΔQ, thereby increasing the cooling water flow in the low-temperature area. This improves the heat exchange efficiency in that area, helps restore its temperature, and avoids the risk of freezing.

[0043] The cold-end optimization and regulation module includes a built-in return water temperature control unit, which dynamically adjusts the return water temperature of each cooling triangle using the Python programming language. When the return water temperature falls below the set minimum safety value, the control unit raises the return water temperature by increasing the cooling water flow rate or mixing in high-temperature makeup water. Conversely, when the return water temperature exceeds the target value, the control unit reduces the cooling water flow rate or increases the cooling intensity, such as by increasing the fan speed, to quickly reduce the return water temperature.

[0044] In this embodiment, the following is a Python language code example. The process of the return water temperature control unit dynamically adjusting the return water temperature of each cooling triangle is as follows:

[0045]

[0046]

[0047]

[0048] The present invention arranges high-precision three-wire PT100 thermal resistor sensors to accurately collect temperature data from each area; uses mathematical models such as the heat conduction equation to dynamically monitor temperature distribution, implements precise antifreeze protection based on control logic, dynamically adjusts the working status of the cooling fan segments and the cooling water distribution strategy according to temperature changes, and can also dynamically adjust the return water temperature through the return water temperature control unit, thereby effectively improving the temperature control accuracy of the cooling triangle and optimizing the antifreeze protection and thermal efficiency of the cold-end system.

[0049] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0050] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A cooling triangle control system based on temperature field, characterized in that: It includes a temperature field reconstruction module, a temperature acquisition module, and a cold end optimization and adjustment module; the temperature field reconstruction module reconstructs the temperature field of the cooling triangle by arranging sensors, and the sensors monitor the wall temperature and return water temperature; the temperature acquisition module realizes temperature data acquisition by combining sensors with hard wiring and MODUBUS communication protocol, and uses a signal conditioning unit to amplify, filter and perform analog-to-digital conversion processing, while performing real-time data storage, preprocessing and redundancy protection through a distributed control system; the cold end optimization and adjustment module monitors the temperature distribution of the cooling triangle by receiving real-time temperature data provided by the temperature acquisition module, combining heat conduction equations, numerical calculation methods and dynamic correction models, and realizes antifreeze protection and cooling efficiency optimization based on control logic; The cold end optimization and regulation module dynamically adjusts the cooling water distribution strategy to achieve the antifreeze protection and adjusts the water flow according to the temperature difference of each cooling triangle area. To meet the cooling needs of different areas, the adjustment formula for setting the cooling water flow is as follows: ， in, For the corresponding position Cooling water flow after regional adjustment, For the corresponding position The current cooling water flow rate of the area, is the amplitude of water flow adjustment, is the preset safety temperature threshold, Current location Real-time temperature; when cooling area Temperature Approaching the set threshold When the cold end optimization adjustment module is based on the actual temperature difference Calculate the required increase in water flow , thereby increasing more cooling water flow in the low temperature area; The infrastructure of the temperature acquisition module includes multiple three-wire PT100 thermal resistance sensors, which are arranged on the heat exchange surface of the cooling triangle, the return pipe and other areas requiring temperature monitoring. The temperature data is hard-wired and transmitted to the distributed control system via the MODBUS communication protocol. The distributed control system has a backup battery and UPS power supply to ensure the normal operation of the temperature acquisition module when the main power is cut off.

2. The cooling triangle control system based on temperature field according to claim 1 is characterized in that The cold end optimization and adjustment module receives the temperature data provided by the temperature acquisition module and dynamically monitors the temperature distribution of the cooling triangle through a built-in control algorithm combined with a mathematical model and a numerical calculation method, including the following steps: Step Z1: The temperature distribution of the cooling triangle is described by the heat conduction equation. For a two-dimensional temperature field, the calculation formula of the heat conduction equation is: ,in, For the location and time temperature, is the thermal diffusivity, is the heat source term, which represents the heat generation inside the cooling triangle. is the two-dimensional plane coordinate; Step Z2: In order to solve the above equation in numerical calculation, the finite difference method is used to discretize it. For a grid node , the discrete expression of temperature change is: ， in, For the The next time step The temperature value of each grid node, is the time step, and is the spatial step length, and For nodes Temperature values ​​at nearby locations, and For nodes Temperature values ​​at nearby locations; Step Z3: collect the temperature data It is used as the input value for model calibration, and the temperature data of the sensor points are mapped to the discrete grid by the bilinear interpolation method: ， in, is the temperature value calculated based on the heat conduction equation, The sensor temperature data collected in real time is is the temperature after fusion, is the fusion weight coefficient.

3. The cooling triangle control system based on temperature field according to claim 1 is characterized in that The temperature acquisition module has a built-in signal conditioning unit. The analog signal output by the temperature sensor is very weak, so the signal conditioning unit is required to increase the signal amplitude by amplifying the analog signal. The calculation formula for analog signal amplification is: ， in, is the input signal, is the output signal, is the gain of the amplifier; the acquired signal will contain high-frequency noise and interference, so the signal conditioning unit uses a low-pass filter for filtering, and the calculation formula is: ， in, is the transfer function of the low-pass filter, is the complex frequency domain variable in Laplace transform, is the time constant of the filter, defined as , is the cutoff frequency of the filter, and the output signal of the filter By convolution with the input signal we get: ， is the impulse response of the filter; in order to facilitate further digital processing, the signal conditioning unit performs signal conversion and converts the analog signal into a digital signal through analog-to-digital conversion.

4. The cooling triangle control system based on temperature field according to claim 1, characterized in that: The temperature sensor arranged in the temperature field reconstruction module adopts a three-wire PT100 thermal resistance sensor. At least 6 temperature sensors are installed on the heat exchange surface of each cooling triangle, at least 2 of which are used to measure the wall temperature and at least 1 is used to monitor the return water temperature. All temperature elements are in close contact with the cooling tube bundle.

5. The cooling triangle control system based on temperature field according to claim 1, characterized in that: In the temperature field reconstruction module, an insertable armored thermal resistor sensor with an IP67 protection grade is installed at the return pipe of each cooling triangle, which is directly inserted into the return pipe to collect coolant return temperature data.

6. The cooling triangle control system based on temperature field according to claim 1, characterized in that: The processing unit in the distributed control system stores and preprocesses the collected temperature data in real time. The preprocessing includes noise removal, filtering and outlier detection, and generates a cooling triangle temperature distribution map. The data and graphics are transmitted to the operator station and engineer station in real time.

7. The cooling triangle control system based on temperature field according to claim 1, characterized in that: The cold end optimization and adjustment module has an anti-freeze protection function. Based on the real-time collection of temperature field data, it dynamically adjusts the working status of the cooling fan section through control logic. If the temperature of a cooling fan section is more than 20% lower than the temperature of other areas, the fan speed of this section is preferentially reduced.

8. The cooling triangle control system based on temperature field according to claim 1, characterized in that: The cold end optimization and regulation module has a built-in return water temperature control unit, which dynamically adjusts the return water temperature of each cooling triangle. When the return water temperature is lower than the minimum safety value, the cooling water flow rate is increased or high-temperature make-up water is mixed in; when the return water temperature is higher than the target value, the cooling water flow rate is reduced or the cooling intensity is increased.

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