An integrated monitoring system and method for temperature field and velocity field based on real-time data

Abstract

The present invention discloses an integrated monitoring system and method for temperature field and velocity field based on real-time data, belonging to the technical field of flow field measurement. The system includes an equipment control module, a data acquisition module, a model analysis module, an intelligent calculation module, and an adaptive adjustment module; the equipment control module is used to control the startup and shutdown of the monitoring system and determine the initial data acquisition frequency; the data acquisition module is used to acquire temperature field data and velocity field data when the equipment control module controls the startup of the monitoring system; the model analysis module is used to simulate the temperature field distribution and velocity field distribution in a three-dimensional analysis model; the intelligent calculation module is used to calculate the total change amplitude frequency of data in the temperature field and velocity field and the change amplitude frequency of data in adjacent acquisition points respectively; the adaptive adjustment module is used to adaptively adjust the data acquisition frequency of each data acquisition point until the monitoring system is shut down.

Description

Technical Field

[0001] The present invention relates to the technical field of flow field measurement, and particularly to an integrated monitoring system and method for temperature field and velocity field based on real-time data. Background Art

[0002] Temperature and velocity are key parameters for describing fluid flow and heat transfer processes. Traditional monitoring methods usually need to measure these two parameters separately, which not only increases the complexity and cost of measurement, but also leads to poor data synchronization and affects the analysis results. Through integrated monitoring technology, synchronous measurement of temperature field and velocity field can be achieved, avoiding errors and time delay problems caused by step-by-step measurement. However, during the process of synchronous data acquisition of temperature field and velocity field, due to the limited storage capacity of the device, the system needs to frequently clean and transfer data. If the performance of the system is insufficient, a large amount of high-frequency data may also cause data delay and loss. Existing data acquisition devices have single functions, and the system cannot dynamically allocate data acquisition frequencies according to changes in data sources in the temperature field and velocity field, easily resulting in data redundancy. Summary of the Invention

[0003] The purpose of the present invention is to provide an integrated monitoring system and method for temperature field and velocity field based on real-time data to solve the problems mentioned in the above background art.

[0004] To solve the above technical problems, the present invention provides the following technical solution: An integrated monitoring method for temperature field and velocity field based on real-time data, the method comprising the following steps:

[0005] Step S1: Determine the data acquisition points of the device to be measured, the data acquisition points including temperature acquisition points and velocity acquisition points, initialize the data acquisition frequencies of the data acquisition points, and acquire the temperature field data at the temperature acquisition points and the velocity field data at the velocity acquisition points; the temperature field data includes temperature and heat flux density; the velocity field data includes velocity components and pressure;

[0006] Step S2: Establish a three-dimensional analysis model, analyze the temperature field data and velocity field data acquired in step S1, and simulate the temperature field distribution and velocity field distribution in the three-dimensional analysis model according to the analysis results;

[0007] Step S3: According to the simulation results of the temperature field distribution and velocity field distribution in the three-dimensional analysis model in step S2, calculate the total change amplitude frequency of the data in the temperature field and velocity field and the change amplitude frequency of the data between adjacent acquisition points respectively;

[0008] Step S4: Determine the data transmission rate during the transmission of the temperature field data and velocity field data, and adaptively adjust the data acquisition frequencies of each data acquisition point according to the calculation results in step S3;

[0009] Step S5: Repeat steps S1 - S4 until the monitoring system is turned off.

[0010] An integrated monitoring system for temperature field and velocity field based on real - time data, which includes an equipment control module, a data acquisition module, a model analysis module, an intelligent calculation module, and an adaptive adjustment module.

[0011] The equipment control module is used to control the startup and shutdown of the monitoring system and determine the data acquisition frequency of the initialization data acquisition points.

[0012] The data acquisition module is used to collect temperature field data and velocity field data when the equipment control module controls the startup of the monitoring system; the temperature field data includes temperature and heat flux density; the velocity field data includes velocity components and pressure; and send the collected temperature field data and velocity field data to the model analysis module.

[0013] The model analysis module is used to establish a three - dimensional analysis model, analyze the collected temperature field data and velocity field data, and simulate the temperature field distribution and velocity field distribution in the three - dimensional analysis model according to the analysis results.

[0014] The intelligent calculation module is used to calculate the total change amplitude - frequency of the data in the temperature field and velocity field and the change amplitude - frequency of the data in adjacent acquisition points respectively according to the simulation results of the temperature field distribution and velocity field distribution in the three - dimensional analysis model in the model analysis module, and send the total change amplitude - frequency of the data in the temperature field and velocity field and the change amplitude - frequency of the data in adjacent acquisition points to the adaptive adjustment module.

[0015] The adaptive adjustment module is used to determine the data transmission rate during the transmission of temperature field data and velocity field data, and adaptively adjust the data acquisition frequency of each data acquisition point according to the total change amplitude - frequency of the data in the temperature field and velocity field and the change amplitude - frequency of the data in adjacent acquisition points sent by the intelligent calculation module until the equipment control module controls the shutdown of the monitoring system.

[0016] An electronic device includes: a processor and a memory, wherein a computer program that can be called by the processor is stored in the memory.

[0017] The processor executes the above - mentioned integrated monitoring method for temperature field and velocity field based on real - time data by calling the computer program stored in the memory.

[0018] A computer - readable storage medium stores instructions, and when the instructions run on a computer, the computer is made to execute the above - mentioned integrated monitoring method for temperature field and velocity field based on real - time data.

[0019] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: By simulating the temperature field distribution and velocity field distribution in the three-dimensional analysis model, calculating the amplitude-frequency of data changes in the temperature field and velocity field according to the simulation results, providing a data basis for subsequent data acquisition frequency adjustment, improving the accuracy of the system, and reducing the complexity and workload of data management; By calculating the data acquisition frequency and performing adaptive adjustment, the acquired data is optimized, the data quality and processing efficiency are improved, and data redundancy is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a schematic diagram of the steps of an integrated temperature field and velocity field monitoring method based on real-time data of the present invention;

[0021] Figure 2 is a schematic diagram of the structure of an integrated temperature field and velocity field monitoring system based on real-time data of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0023] Please refer to Figure 1 - Figure 2 , the present invention provides the following technical solutions:

[0024] Please refer to Figure 1 , in the first embodiment: An integrated temperature field and velocity field monitoring method based on real-time data is provided. In this method, the temperature field and velocity field data in the boiler are collected by the monitoring system, and the collected data is analyzed in real time. The data acquisition frequency of the sensors in the monitoring system is adaptively adjusted according to the change amplitude of the temperature in the temperature field and the change amplitude of the velocity in the velocity field, so as to reduce data redundancy and improve the performance of the monitoring system; The method includes the following steps:

[0025] Step S1: Determine the data acquisition points of the device to be measured. The data acquisition points include temperature acquisition points and velocity acquisition points. Initialize the data acquisition frequency of the data acquisition points, and collect the temperature field data at the temperature acquisition points and the velocity field data at the velocity acquisition points; The temperature field data includes temperature and heat flux density; The velocity field data includes velocity components and pressure;

[0026] Furthermore, the device to be measured has a number of temperature acquisition points and a number of speed acquisition points; when the monitoring system operates, the temperature field data at each temperature acquisition point and the speed field data at each speed acquisition point are collected through sensors, and the collected temperature field data and speed field data are sent to the three-dimensional analysis model.

[0027] In this embodiment, the device to be measured is a boiler. By collecting the temperature field data and speed field data in the boiler, the combustion temperature distribution and flue gas velocity distribution in the boiler are analyzed; among them, the temperature of the combustion at the temperature acquisition point is determined by a thermocouple; the heat flux density of the combustion at the temperature acquisition point is determined by a heat flux sensor; the velocity component of the flue gas at the speed acquisition point is determined by a hot wire anemometer; the pressure of the flue gas at the acquisition point is determined by a pressure sensor.

[0028] Step S2: Establish a three-dimensional analysis model, analyze the temperature field data and speed field data collected in step S1, and simulate the temperature field distribution and speed field distribution in the three-dimensional analysis model according to the analysis results;

[0029] Specifically, the method steps are as follows:

[0030] Step S21: Establish a three-dimensional analysis model with respect to the X-axis, Y-axis, and Z-axis, discretize the three-dimensional analysis model into finite element meshes, and each mesh corresponds to a spatial coordinate point; analyze the collected temperature field data to determine the temperature change and heat flux density change of each temperature acquisition point over time; analyze the collected speed field data to determine the velocity component change and pressure change of each speed acquisition point over time;

[0031] Step S22: Determine the spatial coordinate points corresponding to each temperature acquisition point in the three-dimensional analysis model. According to the temperature change and heat flux density change of each temperature acquisition point over time, combined with the transient heat conduction equation, simulate the temperature field distribution in the three-dimensional analysis model, and determine the temperature of each spatial coordinate point at time stamp t

[0032] Step S23: Determine the spatial coordinate points corresponding to each speed acquisition point in the three-dimensional analysis model. According to the velocity component change and pressure change of each speed acquisition point over time, combined with the momentum equation, simulate the speed field distribution in the three-dimensional analysis model, and determine the velocity of each spatial coordinate point at time stamp t

[0033] Among them, d1, d2,..., d n respectively represent each spatial coordinate point in the three-dimensional analysis model.

[0034] It should be noted that is the simulation result of the temperature field distribution in the three-dimensional analysis model; This is the simulation result of the velocity field distribution in the three-dimensional analysis model.

[0035] It should be noted that during the process of simulating the temperature field distribution in the three-dimensional analysis model in this implementation, it is necessary to determine the initial temperature in the boiler, the heat flux density on the inner wall of the furnace, and the convective heat transfer conditions outside the boiler. According to the transient heat conduction equation: Simulate the temperature field distribution in the three-dimensional analysis model, and analyze and verify the temperature field distribution through the change of the heat flux density at each temperature acquisition point. Among them, W represents the combustion temperature; α represents the thermal diffusivity; Q represents the heat source term; ρ1 represents the combustion density; c p represents the specific heat capacity; during the process of simulating the velocity field distribution in the three-dimensional analysis model, it is necessary to determine the inlet velocity of the flue gas in the boiler, the outlet pressure, and the wall conditions between the inner wall of the boiler and the flue gas. According to the momentum equation (taking the X-axis direction as an example): Simulate the velocity field distribution in the three-dimensional analysis model; among them, V represents the velocity of the flue gas; V1, V2, and V3 respectively represent the velocity components in the X-axis, Y-axis, and Z-axis directions; ρ2 represents the density of the flue gas; p represents the pressure of the flue gas; σ represents the kinematic viscosity coefficient.

[0036] It should be noted that in this implementation, the temperature field distribution and the velocity field distribution are simulated through a contact measurement algorithm. In addition to this method, there are also non-contact measurement algorithms for simulating the temperature field distribution and the velocity field distribution. For example, the acoustic method is used to simulate the temperature field distribution in the boiler. The method is as follows: Install acoustic wave sensors for sending and receiving acoustic wave signals in the boiler. By obtaining the transmission time of the acoustic wave between the paths of each acoustic wave sensor, the average temperature between the paths of each acoustic wave sensor is determined through a decoupling algorithm, and the specific temperature between the paths of each acoustic wave sensor is obtained according to the inversion algorithm, so as to obtain the temperature field distribution in the boiler.

[0037] Step S3: According to the simulation results of the temperature field distribution and the velocity field distribution in the three-dimensional analysis model in Step S2, calculate the total change amplitude-frequency of the data in the temperature field and the change amplitude-frequency of the data at adjacent acquisition points respectively;

[0038] Specifically, the method steps are as follows:

[0039] Step S31: Record the simulation result of the temperature field distribution in the three-dimensional analysis model. According to the temperature at each spatial coordinate point at the time stamp t Calculate the total change amplitude-frequency of the data in the temperature field at the time stamp t

[0040]

[0041] Among them, represents the temperature at the i-th spatial coordinate point at the time stamp t; represents the temperature at the i-th spatial coordinate point at time stamp t - 1; n represents the number of spatial coordinate points for analysis; i ∈ {1, 2,..., n};

[0042] Step S32: Connect the spatial coordinate points corresponding to each temperature acquisition point in the three-dimensional analysis model in pairs, determine the spatial coordinate points after connecting each pair of temperature acquisition points, and obtain the change amplitude-frequency of the temperature data between adjacent temperature acquisition points. According to the calculation formula:

[0043]

[0044] where, represents the change amplitude-frequency of the temperature data between temperature acquisition point a and temperature acquisition point b at time stamp t, a ≠ b; P ab represents the set of spatial coordinate points on the line connecting temperature acquisition point a and temperature acquisition point b; represents the temperature of the spatial coordinate point d at time stamp t j ; represents the temperature of the spatial coordinate point d at time stamp t - 1 j ; n ab represents the number of spatial coordinate points on the line connecting temperature acquisition point a and temperature acquisition point b;

[0045] Step S33: Replace the simulation result of the temperature field distribution in the three-dimensional analysis model with the simulation result of the velocity field distribution in the three-dimensional analysis model, execute Steps S31 - S32, and calculate the total change amplitude-frequency of the data in the velocity field at time stamp t and calculate the change amplitude-frequency of the velocity data among adjacent velocity acquisition points.

[0046] It should be noted that d i can be all the spatial coordinate points for analysis, while d j is the spatial coordinate point on the line connecting temperature acquisition point a and temperature acquisition point b in pairs.

[0047] It should be noted that the method principles for calculating the total change amplitude-frequency of the data in the temperature field and the velocity field are the same, and the method principles for calculating the change amplitude-frequency of the data among adjacent acquisition points in the temperature field and the velocity field are the same; by analyzing the temperature in the temperature field and the velocity in the velocity field, calculating the above results, and determining the change amounts of the temperature and velocity in the temperature field and the velocity field before and after time, the change frequencies of the data in the temperature field and the velocity field are analyzed, providing a data basis for the subsequent adjustment of the data acquisition frequency, improving the accuracy of the adaptive adjustment of the system data acquisition frequency, and reducing the complexity and workload of data management.

[0048] Step S4. Determine the data transmission rate during the transmission of temperature field data and velocity field data, and adaptively adjust the data acquisition frequencies of each data acquisition point according to the calculation results in Step S3;

[0049] It should be noted that the data acquisition points include temperature acquisition points and velocity acquisition points; the data acquisition frequencies include the temperature field data acquisition frequency and the velocity field data acquisition frequency.

[0050] Specifically, the method steps are as follows:

[0051] Step S41. Determine the data transmission rate K during the transmission of the current temperature field data and velocity field data; determine the total change amplitude frequency F1 of the data in the current temperature field and the total change amplitude frequency F2 of the data in the velocity field; determine the change amplitude frequency matrix of the temperature data between each adjacent temperature acquisition point in the current temperature field Determine the change amplitude frequency matrix of the velocity data among each adjacent velocity acquisition point in the current velocity field

[0052] Step S42. According to the data in Step S41, calculate the data acquisition frequencies of each temperature acquisition point that need to be adjusted and the data acquisition frequencies of each velocity acquisition point to satisfy the conditional formula:

[0053]

[0054] where, represents the data acquisition frequency of the a-th temperature acquisition point that needs to be adjusted; represents the data acquisition frequency of the h-th velocity acquisition point that needs to be adjusted; x represents the number of temperature acquisition points; a ∈

[0055] {1, 2,..., x}; y represents the number of velocity acquisition points; h ∈ {1, 2,..., y}; w1 represents the proportion weight of temperature in the integrated monitoring of temperature field and velocity field; w2 represents the proportion weight of velocity in the integrated monitoring of temperature field and velocity field; represents the change amplitude frequency of the temperature data between the current temperature acquisition point a and the temperature acquisition point b; a, b ∈ {1, 2,..., x}; represents the change amplitude frequency of the velocity data between the current velocity acquisition point h and the velocity acquisition point D; h, D ∈ {1, 2,..., y};

[0056] Step S43. According to the calculation results of the data acquisition frequencies of each temperature acquisition point and the calculation results of the data acquisition frequencies of each temperature acquisition point in Step S42, adaptively adjust the data acquisition frequencies for the next moment, and adjust the data acquisition frequencies of each temperature acquisition point to Adjust the data acquisition frequency of each speed acquisition point to

[0057] It should be noted that and are both 0; w1 and w2 can be manually confirmed and adjusted by the management personnel to meet the integrated monitoring requirements of each temperature field and speed field.

[0058] It should be noted that the data acquisition frequency of subsequent temperature acquisition points and speed acquisition points is adjusted according to the data change frequency. Since the temperature field distribution and speed field distribution are both obtained by collecting data at the data acquisition points, the corresponding temperature and speed of the spatial coordinate points during the process of connecting the data acquisition points in pairs are used as the derivation variables of the data acquisition frequency, so as to more accurately reflect the temperature and speed changes; at the same time, the data acquisition frequency of each data acquisition point is calculated according to the data transmission rate, thereby optimizing the system performance, improving the data quality and processing efficiency, and reducing data redundancy.

[0059] Step S5: Repeat steps S1 - S4 until the monitoring system is turned off.

[0060] In this embodiment, by adaptively adjusting the data acquisition frequency of the temperature acquisition points and speed acquisition points, screening the data, the temperature field and speed field can more accurately reflect the combustion situation in the boiler, so as to precisely control the fuel supply and air distribution through the fuel control system in the boiler, and maximize the energy efficiency.

[0061] In another embodiment, the change amplitude frequency of temperature data between adjacent temperature acquisition points and the change amplitude frequency of speed data between adjacent speed acquisition points are monitored in real time, a safety warning threshold for the change amplitude frequency is set, and through the safety warning system in the boiler, abnormal combustion situations in the boiler are detected, thereby ensuring the safe operation of the boiler.

[0062] Please refer to Figure 2 , in the second embodiment: A temperature field and speed field integrated monitoring system based on real-time data is provided. The system includes an equipment control module, a data acquisition module, a model analysis module, an intelligent calculation module, and an adaptive adjustment module;

[0063] The equipment control module is used to control the startup and shutdown of the monitoring system and determine the data acquisition frequency of the initialization data acquisition points;

[0064] The data acquisition module is used to collect temperature field data and speed field data when the equipment control module controls the startup of the monitoring system; the temperature field data includes temperature and heat flux density; the speed field data includes speed components and pressure; and send the collected temperature field data and speed field data to the model analysis module;

[0065] The model analysis module is used to establish a three-dimensional analysis model, analyze the collected temperature field data and velocity field data, and simulate the temperature field distribution and velocity field distribution in the three-dimensional analysis model according to the analysis results;

[0066] The intelligent calculation module is used to calculate the total change amplitude-frequency of the data in the temperature field and velocity field and the change amplitude-frequency of the data in adjacent acquisition points respectively according to the simulation results of the temperature field distribution and velocity field distribution in the three-dimensional analysis model in the model analysis module, and send the total change amplitude-frequency of the data in the temperature field and velocity field and the change amplitude-frequency of the data in adjacent acquisition points to the adaptive adjustment module;

[0067] The adaptive adjustment module is used to determine the data transmission rate during the transmission of the temperature field data and velocity field data, and adaptively adjust the data acquisition frequency of each data acquisition point according to the total change amplitude-frequency of the data in the temperature field and velocity field and the change amplitude-frequency of the data in adjacent acquisition points sent by the intelligent calculation module until the device control module controls the monitoring system to shut down.

[0068] Furthermore, an interactive display platform is provided to digitally display the temperature field data and velocity field data collected in the data acquisition module, the temperature field distribution and velocity field distribution simulated in the model analysis module, the calculation results of the total change amplitude-frequency of the data in the temperature field and velocity field and the change amplitude-frequency of the data in adjacent acquisition points in the intelligent calculation module, and the data acquisition frequency of each data acquisition point in the adaptive adjustment module.

[0069] In this embodiment:

[0070] The object of action of this system is a boiler, the temperature field is the combustion temperature in the boiler, and the velocity field is the flue gas velocity in the boiler; after the device control module controls the monitoring system to start, it determines the initial data acquisition frequency of the monitoring system;

[0071] The data acquisition module acquires the temperature field data and velocity field data, and sends the acquired temperature field data and velocity field data to the model analysis module and the interactive display platform;

[0072] The model analysis module establishes a three-dimensional analysis model, analyzes the collected temperature field data and velocity field data, simulates the temperature field distribution and velocity field distribution in the three-dimensional analysis model according to the analysis results, and sends the simulation results to the intelligent calculation module and the interactive display platform;

[0073] The intelligent calculation module calculates the total change amplitude-frequency of the data in the temperature field and velocity field and the change amplitude-frequency of the data in adjacent acquisition points respectively, and sends the calculation results to the adaptive adjustment module and the interactive display platform;

[0074] The adaptive adjustment module adaptively adjusts the data collection frequencies of each data collection point and sends the data collection frequencies of each data collection point to the interactive display platform;

[0075] The interactive display platform digitally displays the data sent by the above modules.

[0076] In the third embodiment: An electronic device is provided, including a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory;

[0077] The processor executes the steps of implementing the above-mentioned integrated monitoring method of temperature field and velocity field based on real-time data by calling the computer program stored in the memory.

[0078] In the fourth embodiment: A computer-readable storage medium is provided, storing instructions. When the instructions run on a computer, the computer is made to execute the steps of the above-mentioned integrated monitoring method of temperature field and velocity field based on real-time data to achieve the following functions: collecting temperature field data and velocity field data; establishing a three-dimensional analysis model to simulate the temperature field distribution and velocity field distribution; calculating the total change amplitude-frequency of the data in the temperature field and velocity field and the change amplitude-frequency of the data in adjacent collection points; determining the data transmission rate during the transmission of temperature field data and velocity field data; calculating the data collection frequencies of each data collection point and performing adaptive adjustment.

[0079] The computer-readable storage medium includes: various media for storing program codes such as USB flash drives, mobile hard disks, read-only memories, random access memories, magnetic disks, or optical discs.

[0080] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A temperature field and velocity field integrated monitoring method based on real-time data, characterized in that: The method comprises the following steps: Step S1, determining data collection points of the device to be tested, wherein the data collection points include temperature collection points and velocity collection points, initializing the data collection frequency of the data collection points, collecting temperature field data at the temperature collection points and velocity field data at the velocity collection points; the temperature field data includes temperature and heat flux density; the velocity field data includes velocity component and pressure; Step S2, establishing a three-dimensional analysis model, analyzing the temperature field data and velocity field data collected in step S1, and simulating the temperature field distribution and velocity field distribution in the three-dimensional analysis model according to the analysis results; Step S3, according to the simulation results of the temperature field distribution and the velocity field distribution in the three-dimensional analysis model in step S2, respectively calculating the total variation amplitude frequency of the data in the temperature field and the velocity field and the variation amplitude frequency of the data in adjacent acquisition points; Step S4, determining the data transmission rate during the temperature field data and velocity field data transmission process, and adaptively adjusting the data acquisition frequency of each data acquisition point according to the total change amplitude frequency of the data in the temperature field and velocity field and the change amplitude frequency of the data in adjacent acquisition points calculated in step S3; Step S5: Repeat steps S1-S4 until the monitoring system is turned off.

2. The temperature field and velocity field integrated monitoring method based on real-time data according to claim 1 is characterized in that: The device to be tested has several temperature collection points and several speed collection points; when the monitoring system is operating, the temperature field data at each temperature collection point and the speed field data at each speed collection point are collected by sensors, and the collected temperature field data and speed field data are sent to the three-dimensional analysis model.

3. The temperature field and velocity field integrated monitoring method based on real-time data according to claim 2 is characterized by: The method steps of step S2 are: Step S21, establish a three-dimensional analysis model about the X-axis, Y-axis and Z-axis, discretize the three-dimensional analysis model into finite element grids, each grid corresponds to a spatial coordinate point; analyze the collected temperature field data to determine the temperature change and heat flux density change of each temperature collection point over time; analyze the collected velocity field data to determine the velocity component change and pressure change of each velocity collection point over time; Step S22: determine the spatial coordinate points corresponding to each temperature acquisition point in the three-dimensional analysis model, simulate the temperature field distribution in the three-dimensional analysis model according to the temperature change and heat flux density change of each temperature acquisition point over time, and combine the transient heat conduction equation to determine the temperature of each spatial coordinate point at the time stamp t. Step S23: determine the spatial coordinate points corresponding to each velocity collection point in the three-dimensional analysis model, simulate the velocity field distribution in the three-dimensional analysis model according to the velocity component changes and pressure changes of each velocity collection point over time, and combine the momentum equation to determine the velocity of each spatial coordinate point at the time stamp t. Among them, d1, d2, ..., d n They represent the spatial coordinate points in the three-dimensional analysis model respectively.

4. The temperature field and velocity field integrated monitoring method based on real-time data according to claim 3 is characterized by: The method steps of step S3 are: Step S31, record the simulation results of the temperature field distribution in the three-dimensional analysis model, and the temperature of each spatial coordinate point at the time of time stamp t Calculate the total change frequency of the temperature field data at timestamp t in, Represents the temperature of the i-th spatial coordinate point at timestamp t; represents the temperature of the i-th spatial coordinate point at timestamp t-1; n represents the number of spatial coordinate points analyzed; i∈{1,2,...,n}; Step S32, connect the space coordinate points corresponding to each temperature collection point in the three-dimensional analysis model in pairs, determine the space coordinate points after each temperature collection point is connected in pairs, and obtain the change amplitude frequency of the temperature data between adjacent temperature collection points, according to the calculation formula: in, P represents the frequency of change in temperature data between temperature collection point a and temperature collection point b at timestamp t, a≠b; ab Represents the set of spatial coordinate points on the line connecting temperature collection point a and temperature collection point b; Indicates the spatial coordinate point d at timestamp t j Temperature; Indicates the spatial coordinate point d at timestamp t-1 j Temperature; n ab Indicates the number of spatial coordinate points on the line connecting temperature collection point a and temperature collection point b; Step S33, replace the simulation result of the temperature field distribution in the three-dimensional analysis model in step S31 with the simulation result of the velocity field distribution in the three-dimensional analysis model, execute steps S31-S32, and calculate the total change amplitude frequency of the data in the velocity field at timestamp t. And calculate the frequency of change of velocity data in adjacent velocity collection points.

5. The temperature field and velocity field integrated monitoring method based on real-time data according to claim 4 is characterized in that: The method steps of step S4 are: Step S41, determining the data transmission rate K during the current temperature field data and velocity field data transmission process; determining the total change amplitude frequency F1 of the data in the current temperature field and the total change amplitude frequency F2 of the data in the velocity field; Determine the frequency matrix of the temperature data between the current adjacent temperature collection points Determine the frequency matrix of the velocity data in each adjacent velocity collection point Step S42: Calculate the data collection frequency of each temperature collection point that needs to be adjusted according to the data in step S41. and the data collection frequency of each speed collection point To satisfy the conditional formula: in, Indicates the data collection frequency of the ath temperature collection point that needs to be adjusted; represents the data collection frequency of the hth speed collection point that needs to be adjusted; x represents the number of temperature collection points; a∈ {1,2,...,x}; y represents the number of velocity acquisition points; h∈{1,2,...,y}; w1 represents the weight of temperature in the integrated monitoring of temperature field and velocity field; w2 represents the weight of velocity in the integrated monitoring of temperature field and velocity field; Indicates the frequency of change in temperature data between the current temperature collection point a and the temperature collection point b; a,b∈{1,2,...,x}; Indicates the frequency of change in velocity data between the current velocity collection point h and the velocity collection point D; h,D∈{1,2,...,y}; Step S43: Adaptively adjust the data acquisition frequency at the next moment according to the data acquisition frequency calculation result of each temperature acquisition point in step S42 and the data acquisition frequency calculation result of each temperature acquisition point, and adjust the data acquisition frequency of each temperature acquisition point to Adjust the data acquisition frequency of each speed acquisition point to 6. A temperature field and velocity field integrated monitoring system based on real-time data, characterized in that: The system includes an equipment control module, a data acquisition module, a model analysis module, an intelligent calculation module and an adaptive adjustment module; The device control module is used to control the start and stop of the monitoring system and determine the data collection frequency of the initialization data collection point; The data acquisition module is used to collect temperature field data and velocity field data when the equipment control module controls the monitoring system to start; the temperature field data includes temperature and heat flux density; the velocity field data includes velocity component and pressure; and the collected temperature field data and velocity field data are sent to the model analysis module; The model analysis module is used to establish a three-dimensional analysis model, analyze the collected temperature field data and velocity field data, and simulate the temperature field distribution and velocity field distribution in the three-dimensional analysis model according to the analysis results; The intelligent calculation module is used to calculate the total change amplitude frequency of the data in the temperature field and the velocity field and the change amplitude frequency of the data in the adjacent acquisition points according to the simulation results of the temperature field distribution and the velocity field distribution in the three-dimensional analysis model in the model analysis module, and send the total change amplitude frequency of the data in the temperature field and the velocity field and the change amplitude frequency of the data in the adjacent acquisition points to the adaptive adjustment module; The adaptive adjustment module is used to determine the data transmission rate during the transmission of temperature field data and velocity field data, and adaptively adjust the data collection frequency of each data collection point according to the total change amplitude frequency of the data in the temperature field and velocity field sent by the intelligent calculation module and the change amplitude frequency of the data in the adjacent collection points until the equipment control module controls the monitoring system to shut down.

7. The temperature field and velocity field integrated monitoring system based on real-time data according to claim 6 is characterized by: An interactive display platform is provided to digitally display the temperature field data and velocity field data collected in the data acquisition module, the temperature field distribution and velocity field distribution simulated in the model analysis module, the calculation results of the total change amplitude frequency of the temperature field and velocity field data and the change amplitude frequency of the data in adjacent collection points in the intelligent calculation module, and the data collection frequency of each data collection point in the adaptive adjustment module.

8. An electronic device, characterized in that: include: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the temperature field and velocity field integrated monitoring method based on real-time data as described in any one of claims 1 to 5 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes a temperature field and velocity field integrated monitoring method based on real-time data as described in any one of claims 1 to 5.

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