Cooling triangle regulation and control system based on temperature field

Abstract

The invention relates to the technical field of data processing, and particularly discloses a cooling triangle regulation and control system based on a temperature field, and the system comprises a temperature field reconstruction module, a temperature collection module, and a cold end optimization adjustment module. The temperature field reconstruction module realizes reconstruction of a cooling triangle temperature field by arranging a sensor; the temperature acquisition module realizes temperature data acquisition by combining a sensor with a hard wiring and a MODUBUS communication protocol, and performs real-time storage, preprocessing and redundancy protection of data through a distributed control system (DCS); and the cold end optimization adjustment module monitors the temperature distribution of the cooling triangle by receiving the real-time temperature data provided by the temperature acquisition module and combining a heat conduction equation, a numerical calculation method and a dynamic correction model. The temperature data of the temperature field can be accurately collected, the temperature control precision of the cooling triangle is effectively improved, and anti-freezing protection and heat efficiency of a cold end system are optimized.

Description

Technical Field

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

[0002] In the traditional intercooling tower cooling system, the cooling triangle is the core heat dissipation unit and is widely used in large thermal power generating units. It is responsible for dissipating the waste heat of the unit into the atmosphere. The cooling triangle is usually composed of multiple heat exchange tube bundles, heat dissipation fins and fans, and heat is taken away by air flow. However, the existing cooling triangle control system faces many challenges. First, the temperature distribution of the cooling triangle is uneven. Some areas may be affected by factors such as wind speed and cooling medium temperature, resulting in low cooling efficiency, which in turn affects the overall thermal efficiency of the unit. Secondly, in a cold environment, the cooling system is prone to freezing. Especially in low temperature weather, the pipes and fins of the cooling triangle are prone to ice, resulting in a serious decrease in cooling performance and even equipment damage. Traditional antifreeze protection methods are usually based on experience and set temperature thresholds for control. It is impossible to achieve accurate temperature regulation and real-time antifreeze warning, and it is difficult to cope with extreme climate change. In addition, the existing cooling system usually lacks sufficient temperature monitoring and adjustment means, and lacks comprehensive real-time monitoring of the temperature changes and flow field conditions of each independent area 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 have become key issues in the current technical development of intercooling 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 by using mathematical models such as the heat conduction equation, realizes antifreeze protection based on control logic, dynamically adjusts the working state of the cooling fan segment and the cooling water distribution strategy according to the temperature change, and dynamically adjusts the return water temperature by the return water temperature control unit, thereby improving the temperature control accuracy of the cooling triangle, optimizing the antifreeze 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 cooling triangle control system based on temperature field comprises 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 the 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 perform amplification, filtering and analog-to-digital conversion processing, and 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 the real-time temperature data provided by the temperature acquisition module, combining the heat conduction equation, the numerical calculation method and the dynamic correction model, and realizes 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, and T(x,y) is the real-time temperature at 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 adding 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 the return water temperature, including the following specific contents: the temperature field is reconstructed by arranging multiple temperature sensors, and the temperature sensor adopts a three-wire PT100 thermal resistor sensor with high precision and good stability. At least 6 temperature sensors are installed on the heat exchange surface of each cooling triangle, 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 the 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 prone to local 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] In order to ensure accurate measurement of the return water temperature, the temperature reconstruction module is equipped with an insert-type armored thermal resistor sensor at the return water outlet of each cooling triangle. The protection level of the insert-type armored thermal resistor sensor is IP67, which ensures that it can work normally in harsh environments and prevent the influence of external factors such as water and dust. The insert-type armored thermal resistor sensor is directly inserted into the return water pipe and can collect the temperature data of the coolant return in real time.

[0010] As a further solution of the present invention, the temperature acquisition module realizes temperature data acquisition by combining the sensor with hard wiring and MODUBUS communication protocol, and uses the signal conditioning unit to amplify, filter and analog-to-digital conversion, and performs 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 of the cooling triangle, the return pipe and other areas that require temperature monitoring.

[0011] In order to ensure the efficiency of temperature collection, all temperature data are connected to the temperature collection module through hard wiring, and further transmitted with the distributed control system through the MODBUS communication protocol. The hard wiring method reduces signal interference and loss during transmission, and improves the stability and accuracy of data transmission. The MODBUS communication protocol transmits data to the distributed control system in a standardized digital signal format through the RS485 communication interface, realizing centralized collection and real-time update of temperature information of each cooling triangle. In addition, the remote I / O unit of the distributed control system is configured with a redundant design to ensure that in the event of a single point failure, the distributed control system can automatically switch to the backup module to ensure the continuity of data transmission.

[0012] After data collection, the processing unit (DPU) in the distributed control system stores and preprocesses the collected temperature data in real time, and the preprocessing includes noise removal, filtering and outlier detection. The distributed control system can not only process real-time storage and preprocessing data, but also generate a temperature distribution map of the cooling triangle to help operators quickly identify abnormal temperature areas. All data and graphics are transmitted to the operator station and engineer station in real time, and the operator can adjust the cooling system according to the temperature trend chart, 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; there will be high-frequency noise and interference in the acquired signal, 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; 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.

[0014] The DSC system also has a backup battery and a 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, the numerical calculation method and the dynamic correction model, monitors the temperature distribution of the cooling triangle, and realizes antifreeze protection and cooling efficiency optimization based on the 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 the built-in control algorithm, combined with the mathematical model and the 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 diffusion coefficient, 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 has an antifreeze protection function. Based on the real-time collected temperature field data, the control logic dynamically adjusts the working state of the cooling fan segment to prevent freezing damage caused by too low temperature. The control logic determines the scope of the low temperature area and its impact according to the changing trend of the temperature field, and determines whether the freezing risk is about to occur by comparing the current temperature with the threshold and combining the temperature change rate. If the temperature of a cooling fan segment is more than 20% lower than the temperature of other areas, the cold end optimization and regulation module will give priority to reducing the fan speed of the fan segment, thereby reducing the cooling intensity and reducing the heat loss of 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. 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, and T(x,y) is the real-time temperature at 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 cold end optimization and adjustment module will adjust the temperature according to the actual temperature difference T threshold -T(x,y) is used to calculate the required increase in water flow rate ΔQ, thereby adding more cooling water flow in the low-temperature area. This can improve the heat exchange efficiency in the area, help restore its temperature, and avoid the risk of freezing.

[0021] 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 set minimum safety value, the return water temperature control unit will increase the return water temperature by increasing the cooling water flow rate or mixing in high-temperature make-up water; conversely, when the return water temperature is higher than the target value, the return water temperature control unit will reduce the cooling water flow rate or increase the cooling intensity, such as increasing the fan speed, to quickly reduce the return water temperature.

[0022] The technical effects and advantages of the cooling triangle control system based on the temperature field 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 state of the cooling fan segment 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 The schematic diagram is a structural diagram of a cooling triangle control system based on temperature field of the present invention.

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

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0026] Example 1

[0027] See also 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 the 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 processing, 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 the real-time temperature data provided by the temperature acquisition module, combining the heat conduction equation, numerical calculation method and dynamic correction model, and realizes antifreeze protection and cooling efficiency optimization based on control logic.

[0028] Furthermore, 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 the return water temperature, including: realizing the reconstruction of the temperature field by arranging multiple temperature sensors, and the temperature sensor adopts a three-wire PT100 thermal resistor sensor with high precision and good stability. At least 6 temperature sensors are installed on the heat exchange surface of each cooling triangle, 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.

[0029] In order to improve the 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 prone to local 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] In order to ensure accurate measurement of the return water temperature, the temperature reconstruction module is equipped with an insert-type armored thermal resistor sensor at the return water outlet of each cooling triangle. The protection level of the insert-type armored thermal resistor sensor is IP67, which ensures that it can work normally in harsh environments and prevent the influence of external factors such as water and dust. The insert-type armored thermal resistor sensor is directly inserted into the return water pipe and can collect the temperature data of the coolant return in real time.

[0031] Furthermore, the temperature acquisition module realizes temperature data acquisition by combining the sensor with hard wiring and MODUBUS communication protocol, and uses the 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 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 of the cooling triangle, the return pipe and other areas that require temperature monitoring.

[0032] In order to ensure the efficiency of temperature collection, all temperature data are connected to the temperature collection module through hard wiring, and further transmitted with the distributed control system through the MODBUS communication protocol. The hard wiring method reduces signal interference and loss during transmission, and improves the stability and accuracy of data transmission. The MODBUS communication protocol transmits data to the distributed control system in a standardized digital signal format through the RS485 communication interface, realizing centralized collection and real-time update of temperature information of each cooling triangle. In addition, the remote I / O unit of the distributed control system is configured with a redundant design to ensure that in the event of a single point failure, the distributed control system can automatically switch to the backup module to ensure the continuity of data transmission.

[0033] In this embodiment, see Figure 2 As shown in the layout diagram, the arrangement of the slot boxes in the intercooler provides an efficient and safe installation and protection path for temperature sensors and signal transmission. The slot boxes are arranged at key positions along the cooling triangle to ensure the stability of signal transmission and seamlessly connect with the MODBUS communication interface.

[0034] Furthermore, after data collection, the processing unit (DPU) in the distributed control system stores and preprocesses the collected temperature data in real time, and the preprocessing includes noise removal, filtering and outlier detection. The distributed control system can not only process real-time storage and preprocessing data, but also generate a temperature distribution map of the cooling triangle to help operators quickly identify abnormal temperature areas. All data and graphics are transmitted to the operator station and engineer station in real time, and the operator can adjust the cooling system according to the temperature trend map, 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; there will be high-frequency noise and interference in the acquired signal, 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; 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.

[0036] The DSC system also has a backup battery and a 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, the numerical calculation method and the dynamic correction model, monitors the temperature distribution of the cooling triangle, and realizes 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, the mathematical model and the 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 diffusion coefficient, 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 has an antifreeze protection function. Based on the real-time collected temperature field data, it dynamically adjusts the working state of the cooling fan segment through the control logic to prevent freezing damage caused by too low temperature. The control logic determines the scope of the low temperature area and its impact according to the changing trend of the temperature field, and determines whether the freezing risk is about to occur by comparing the current temperature with the threshold and combining the temperature change rate. If the temperature of a cooling fan segment is more than 20% lower than the temperature of other areas, the cold end optimization and regulation module will give priority to reducing the fan speed, thereby reducing the cooling intensity and reducing the heat loss of 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. 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, and T(x,y) is the real-time temperature at 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 cold end optimization and adjustment module will adjust the temperature according to the actual temperature difference T threshold -T(x,y) is used to calculate the required increase in water flow rate ΔQ, thereby adding more cooling water flow in the low-temperature area. This can improve the heat exchange efficiency in the area, help restore its temperature, and avoid the risk of freezing.

[0043] 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 through the Python programming language. When the return water temperature is lower than the set minimum safety value, the return water temperature control unit will increase the return water temperature by increasing the cooling water flow rate or mixing in high-temperature make-up water; conversely, when the return water temperature is higher than the target value, the return water temperature control unit will reduce the cooling water flow rate or increase the cooling intensity, such as increasing the fan speed, to quickly reduce the return water temperature.

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

[0045]

[0046]

[0047]

[0048] The present invention arranges high-precision three-wire PT100 thermal resistor sensors to accurately collect temperature data of each area; uses mathematical models such as heat conduction equations to dynamically monitor temperature distribution, implements precise antifreeze protection based on control logic, dynamically adjusts the working state of the cooling fan segment and the cooling water distribution strategy according to temperature changes, and can 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 is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope 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 protection scope 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 realizes the reconstruction of the temperature field of the cooling triangle by arranging sensors, and the sensors monitor the wall temperature and the 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; the cold end optimization and adjustment module monitors the temperature distribution of the cooling triangle by receiving the real-time temperature data provided by the temperature acquisition module, combining the heat conduction equation, numerical calculation method and dynamic correction model, 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 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 at 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 adding more cooling water flow in the low temperature area.

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 the built-in control algorithm, combined with the mathematical model and the 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: Where T is the temperature at position (x, y) and time t, α is the thermal diffusion coefficient, Q is the heat source term, which represents the heat generation inside the cooling triangle, and (x, y) 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 i, j, the discrete expression of temperature change is: in, 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; 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.

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 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; there will be high-frequency noise and interference in the acquired signal, 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 By convolution with the input signal we get: h(t) 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 resistor 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, and 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 is characterized in that: In the temperature field reconstruction module, an insertable armored thermal resistor sensor with a protection level of IP67 is installed at the return pipe of each cooling triangle, and 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 infrastructure of the temperature acquisition module includes multiple three-wire PT100 type 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 supply is cut off.

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

8. 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, the working state of the cooling fan section is dynamically adjusted 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 the fan section is preferentially reduced.

9. 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 to dynamically adjust 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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