Temperature field and velocity field integrated monitoring system and method based on real-time data

Abstract

The invention discloses a temperature field and velocity field integrated monitoring system and method based on real-time data, and belongs to the technical field of flow field measurement. The system comprises an equipment control module, a data acquisition module, a model analysis module, an intelligent calculation module and a self-adaptive adjustment module, the equipment control module is used for controlling the start and stop of the monitoring system and determining an initialized data acquisition frequency; the data acquisition module is used for acquiring temperature field data and velocity field data when the equipment control module controls the monitoring system to start; the model analysis module is used for simulating temperature field distribution and velocity field distribution in the three-dimensional analysis model; the intelligent calculation module is used for calculating 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; and the self-adaptive adjustment module is used for carrying out self-adaptive adjustment on the data acquisition frequency of each data acquisition point until the monitoring system is closed.

Description

Technical Field

[0001] The present invention relates to the technical field of flow field measurement, and in particular to a temperature field and velocity field integrated monitoring system and method 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 require measuring these two parameters separately, which not only increases the complexity and cost of measurement, but also leads to poor data synchronization, affecting the analysis results. Integrated monitoring technology can achieve synchronous measurement of temperature field and velocity field, avoiding the errors and time delays caused by step-by-step measurement. However, in the process of synchronous acquisition of temperature field and velocity field data, due to the limited storage capacity of the equipment, the system needs to frequently clean and transfer data. If the system performance is insufficient, a large amount of high-frequency data may also cause data delays and loss. Existing data acquisition devices have a single function, and the system cannot dynamically allocate data acquisition frequency according to changes in data sources in the temperature field and velocity field, which easily leads to data redundancy. Summary of the invention

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

[0004] In order to solve the above technical problems, the present invention provides the following technical solutions: a temperature field and velocity field integrated monitoring method based on real-time data, the method comprising 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 collection frequency of each data collection point according to the calculation result in step S3; Step S5: Repeat steps S1-S4 until the monitoring system is turned off.

[0005] A temperature field and velocity field integrated monitoring system based on real-time data, 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 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 calculation results to the adaptive adjustment module; The adaptive adjustment module is used to determine the data transmission rate during the temperature field data and velocity field data transmission process, and adaptively adjust the data collection frequency of each data collection point according to the calculation results sent by the intelligent calculation module until the equipment control module controls the monitoring system to shut down.

[0006] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned temperature field and velocity field integrated monitoring method based on real-time data by calling the computer program stored in the memory.

[0007] A computer-readable storage medium stores instructions. When the instructions are executed on a computer, the computer is enabled to execute the above-mentioned temperature field and velocity field integrated monitoring method based on real-time data.

[0008] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: by simulating the temperature field distribution and the velocity field distribution in a three-dimensional analysis model, the changing amplitude frequency of the data in the temperature field and the velocity field is calculated according to the simulation results, and a data basis is provided for the subsequent data acquisition frequency adjustment, thereby 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 collected data is optimized, the data quality and processing efficiency are improved, and data redundancy is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 It is a schematic diagram of the steps of a temperature field and velocity field integrated monitoring method based on real-time data of the present invention; Figure 2 It is a structural schematic diagram of a temperature field and velocity field integrated monitoring system based on real-time data of the present invention. DETAILED DESCRIPTION

[0010] 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.

[0011] See also Figure 1-Figure 2 , the present invention provides a technical solution: See also Figure 1 In the first embodiment, a temperature field and velocity field integrated monitoring method based on real-time data is provided. In the method, the temperature field and velocity field data in the boiler are collected by a monitoring system, and the collected data are analyzed in real time. The data collection frequency of the sensor in the monitoring system is adaptively adjusted according to the temperature change amplitude in the temperature field and the velocity change amplitude in the velocity field, thereby reducing data redundancy and improving the performance of the monitoring system. 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; Furthermore, 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.

[0012] In this embodiment, the device to be tested is a boiler, and the combustion temperature distribution and flue gas velocity distribution in the boiler are analyzed by collecting temperature field data and velocity field data in the boiler; wherein, the combustion temperature at the temperature collection point is determined by a thermocouple; the heat flux density of the combustion at the temperature collection point is determined by a heat flux sensor; the velocity component of the flue gas at the velocity collection point is determined by a hot wire anemometer; and the pressure of the flue gas at the collection point is determined by a pressure sensor.

[0013] 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; Specifically, the method steps are: Step S21: Establish axis, Axis and The three-dimensional analysis model of the axis is discretized into finite element grids, each grid corresponds to a spatial coordinate point; the collected temperature field data is analyzed to determine the temperature change and heat flux density change of each temperature collection point over time; the collected velocity field data is analyzed 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 collection 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 collection point over time, and combine the transient heat conduction equation to determine the timestamp. When the temperature of each spatial coordinate point is ; 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 timestamp. When ; in, They represent the spatial coordinate points in the three-dimensional analysis model respectively.

[0014] It should be noted that 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.

[0015] It should be noted that in the process of simulating the temperature field distribution in the three-dimensional analysis model, it is necessary to determine the initial temperature in the boiler, the heat flux density of the furnace inner wall and the convection 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 heat flux density at each temperature collection point, where Indicates the temperature of combustion; represents the thermal diffusion coefficient; represents the heat source term; Indicates the combustion density; Indicates specific heat capacity; in 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 of the boiler internal wall 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; where, Indicates the velocity of smoke; and Respectively axis, Axis and The velocity component in the axial direction; Indicates the density of smoke; Indicates the pressure of flue gas; represents the kinematic viscosity coefficient.

[0016] It should be noted that the present embodiment simulates the temperature field distribution and the velocity field distribution through a contact measurement algorithm. In addition to this method, it also includes a non-contact measurement algorithm to simulate 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: an acoustic sensor for sending and receiving acoustic wave signals is installed in the boiler, and the transmission time of the acoustic wave between each acoustic wave sensor path is obtained. The average temperature between each acoustic wave sensor path is determined by a decoupling algorithm, and the specific temperature between each acoustic wave sensor path is obtained according to the inversion algorithm, thereby obtaining the temperature field distribution in the boiler.

[0017] 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; Specifically, the method steps are: Step S31, record the simulation results of the temperature field distribution in the three-dimensional analysis model, according to the timestamp When the temperature of each spatial coordinate point is , calculate the timestamp When the total change frequency of the temperature field data is : ; in, Indicates timestamp At that time, The temperature of a spatial coordinate point; Indicates timestamp At that time, The temperature of a spatial coordinate point; Indicates the number of spatial coordinate points analyzed; ; 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, Indicates timestamp When the temperature is collected Temperature collection point The frequency of temperature changes, ; Indicates the temperature collection point Temperature collection point The set of spatial coordinate points on the line; Indicates timestamp When the spatial coordinate point Temperature; Indicates timestamp When the spatial coordinate point Temperature; 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 timestamp When the total change frequency of the data in the velocity field is , and calculate the frequency of change of velocity data in adjacent velocity collection points.

[0018] It should be noted that can be all the spatial coordinate points for analysis, and Temperature collection point Temperature collection point The spatial coordinate points in the line connecting two pairs.

[0019] It should be noted that the method for calculating the total change amplitude frequency of the data in the temperature field and the velocity field is in the same principle, and the method for calculating the change amplitude frequency of the data in adjacent acquisition points in the temperature field and the velocity field is in the same principle; by analyzing the temperature in the temperature field and the velocity in the velocity field, calculating the above results, determining the change in temperature in the temperature field and the change in velocity in the velocity field before and after time, thereby analyzing the frequency of data change in the temperature field and the velocity field, providing data basis for subsequent data acquisition frequency adjustment, improving the accuracy of the system data acquisition frequency adaptive adjustment, and reducing the complexity and workload of data management.

[0020] Step S4, determining the data transmission rate during the temperature field data and velocity field data transmission process, and adaptively adjusting the data collection frequency of each data collection point according to the calculation result in step S3; It should be noted that the data collection points include temperature collection points and velocity collection points; the data collection frequencies include temperature field data collection frequencies and velocity field data collection frequencies.

[0021] Specifically, the method steps are: Step S41: determining the data transmission rate during the current temperature field data and velocity field data transmission process ; Determine the total frequency of change in the data in the current temperature field The total frequency of change of 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 velocity data changes 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 , so that the conditional formula is satisfied: ; in, Indicates the first The data collection frequency of each temperature collection point; Indicates the first The data collection frequency of each speed collection point; Indicates the number of temperature collection points; ; Indicates the number of velocity collection points; ; Indicates the weight of temperature in the integrated monitoring of temperature field and velocity field; Indicates the weight of velocity in the integrated monitoring of temperature field and velocity field; Indicates the current temperature collection point Temperature collection point The frequency of temperature changes; ; Indicates the current speed collection point With speed collection point The frequency of change of speed data; ; 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 .

[0022] It should be noted that and All are 0; and It can be manually confirmed and adjusted by management personnel to meet the integrated monitoring needs of various temperature and velocity fields.

[0023] It should be noted that the data collection frequency of subsequent temperature collection points and velocity collection points is adjusted according to the frequency of data changes. Since the temperature field distribution and the velocity field distribution are both collected at the data collection points, the temperature and velocity corresponding to the spatial coordinate points in the process of connecting the data collection points are used as derived variables of the data collection frequency, thereby more accurately reflecting the temperature and velocity changes; at the same time, the data collection frequency of each data collection point is calculated according to the data transmission rate, thereby optimizing the system performance, improving data quality and processing efficiency, and reducing data redundancy.

[0024] Step S5: Repeat steps S1-S4 until the monitoring system is turned off.

[0025] In this implementation, the data collection frequency of the temperature collection points and the velocity collection points is adaptively adjusted and the data is screened so that the temperature field and the velocity field can more accurately reflect the combustion conditions in the boiler, thereby accurately controlling the fuel supply and air distribution through the fuel control system in the boiler to maximize energy efficiency.

[0026] In another embodiment, the change amplitude and frequency of the temperature data between adjacent temperature collection points and the change amplitude and frequency of the speed data between adjacent speed collection points are monitored in real time, and a safety warning threshold of the change amplitude and frequency is set. Through the safety warning system in the boiler, abnormal combustion conditions in the boiler are detected, thereby ensuring the safe operation of the boiler.

[0027] See also Figure 2 , in the second embodiment: a temperature field and velocity 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; 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 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 calculation results to the adaptive adjustment module; The adaptive adjustment module is used to determine the data transmission rate during the temperature field data and velocity field data transmission process, and adaptively adjust the data collection frequency of each data collection point according to the calculation results sent by the intelligent calculation module until the equipment control module controls the monitoring system to shut down.

[0028] 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 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.

[0029] In this embodiment: The system is operated on the 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 equipment control module starts the control monitoring system, it determines the data acquisition frequency of the initialization of the monitoring system; The data acquisition module collects temperature field data and velocity field data, and sends the collected temperature field data and velocity field data to the model analysis module and the interactive display platform; 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 computing module and the interactive display platform; The intelligent calculation module calculates 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 respectively, and sends the calculation results to the adaptive adjustment module and the interactive display platform; The adaptive adjustment module adaptively adjusts the data collection frequency of each data collection point, and sends the data collection frequency of each data collection point to the interactive display platform; The interactive display platform digitally displays the data sent by the above modules.

[0030] In the third embodiment: an electronic device is provided, comprising a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the steps of implementing the above-mentioned temperature field and velocity field integrated monitoring method based on real-time data by calling the computer program stored in the memory.

[0031] In the fourth embodiment of the present invention, a computer-readable storage medium is provided, which stores instructions. When the instructions are executed on a computer, the computer executes the steps of a temperature field and velocity field integrated monitoring method based on real-time data as described above to achieve the following functions: collected 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 frequency of each data collection point and performing adaptive adjustment.

[0032] The computer-readable storage medium includes: a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and other media for storing program codes.

[0033] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, 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 collection frequency of each data collection point according to the calculation result 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 by: 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 axis, Axis and The three-dimensional analysis model of the axis is discretized into finite element grids, each grid corresponds to a spatial coordinate point; the collected temperature field data is analyzed to determine the temperature change and heat flux density change of each temperature collection point over time; the collected velocity field data is analyzed 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 collection 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 collection point over time, and combine the transient heat conduction equation to determine the timestamp. When the temperature of each spatial coordinate point is ; 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 timestamp. When ; in, 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, according to the timestamp When the temperature of each spatial coordinate point is , calculate the timestamp When the total change frequency of the temperature field data is : ； in, Indicates timestamp At that time, The temperature of a spatial coordinate point; Indicates timestamp At that time, The temperature of a spatial coordinate point; Indicates the number of spatial coordinate points analyzed; ; 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, Indicates timestamp When the temperature is collected Temperature collection point The frequency of temperature changes, ; Indicates the temperature collection point Temperature collection point The set of spatial coordinate points on the line; Indicates timestamp When the spatial coordinate point Temperature; Indicates timestamp When the spatial coordinate point Temperature; 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 timestamp When the total change frequency of the data in the velocity field is , 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 during the current temperature field data and velocity field data transmission process ; Determine the total frequency of change in the data in the current temperature field The total frequency of change of 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 velocity data changes 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 , so that the conditional formula is satisfied: ； in, Indicates the first The data collection frequency of each temperature collection point; Indicates the first The data collection frequency of each speed collection point; Indicates the number of temperature collection points; ; Indicates the number of velocity collection points; ; Indicates the weight of temperature in the integrated monitoring of temperature field and velocity field; Indicates the weight of velocity in the integrated monitoring of temperature field and velocity field; Indicates the current temperature collection point Temperature collection point The frequency of change of temperature data; ; Indicates the current speed collection point With speed collection point The frequency of change of speed data; ; 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 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 calculation results to the adaptive adjustment module; The adaptive adjustment module is used to determine the data transmission rate during the temperature field data and velocity field data transmission process, and adaptively adjust the data collection frequency of each data collection point according to the calculation results sent by the intelligent calculation module 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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