Heat conduction performance detection system adaptive to stainless steel heater

Abstract

The invention belongs to the technical field of stainless steel heater detection, and particularly relates to a heat conduction performance detection system adaptive to a stainless steel heater. Comprising a heating simulation control module, a non-contact infrared temperature measurement array module, a data acquisition and processing module, a heat conduction characteristic analysis module, a performance evaluation report generation module and a touch control display module. The heating simulation control module controls the heating power supply to work according to set parameters, meanwhile, the non-contact infrared temperature measurement array module collects temperature data in real time, the received data is processed and deeply analyzed, and a performance evaluation report is generated according to an analysis result. The heat conduction characteristic of the heater in an actual working state can be accurately reflected and visually displayed, and the working state of the heating power supply and the environment state are subjected to push-type accurate evaluation, so that an operator can conveniently take corresponding regulation and control improvement measures in time, and the accuracy of a heat conduction detection result of the stainless steel heater is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of stainless steel heater detection, in particular to a thermal conductivity detection system suitable for stainless steel heaters. Background Art

[0002] Stainless steel has the advantages of corrosion resistance, high strength, and beautiful appearance. It can effectively protect the internal heating elements and adapt to different working environments. Stainless steel heaters are a type of device that uses stainless steel as the main shell or key structural material. It converts electrical energy into thermal energy to heat the surrounding environment, medium or object. It is widely used in many industrial and civil fields. Its thermal conductivity directly affects the heating efficiency and use effect.

[0003] However, current thermal conductivity testing technologies for stainless steel heaters generally rely on single-point temperature sampling or static thermal resistance calculations, which are not conducive to a comprehensive assessment of the thermal conductivity performance of stainless steel heaters. Furthermore, they are unable to reasonably analyze and promptly warn of the heating power supply status and environmental conditions during the thermal conductivity testing process, making it difficult to promptly implement corresponding regulatory and improvement measures. This is not conducive to ensuring the accuracy of thermal conductivity test results for stainless steel heaters, and the testing process is difficult to supervise and has a low level of intelligence.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a thermal conductivity performance detection system suitable for stainless steel heaters, which solves the problem that the existing technology comprehensively evaluates the thermal conductivity performance of stainless steel heaters, but is unable to reasonably analyze the heating power supply status and the environmental status of the stainless steel heater during the thermal conductivity detection process and provide timely warnings, which is not conducive to ensuring the accuracy of the thermal conductivity detection results of the stainless steel heater, and the detection process is difficult to supervise and has a low level of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A thermal conductivity performance testing system for stainless steel heaters includes a heating simulation control module, a non-contact infrared temperature measurement array module, a data acquisition and processing module, a thermal conductivity characteristics analysis module, a performance evaluation report generation module, and a touch-sensitive control display module. An operator inputs corresponding control parameters through the touch-sensitive control display module based on the specifications of the stainless steel heater to be tested and the expected operating conditions. Upon receiving these parameters, the heating simulation control module activates its internal control circuit, controlling the output power and output time of the heating power supply according to preset logic and algorithms to simulate the heating process of the stainless steel heater under actual operating scenarios.

[0008] The non-contact infrared temperature measurement array module is responsible for real-time monitoring of the temperature changes of the stainless steel heater during the heating process. The data acquisition and processing module is responsible for receiving data transmitted from the heating simulation control module and the non-contact infrared temperature measurement array module, and processing and storing these data. The thermal conduction characteristic analysis module deeply analyzes the thermal conduction characteristics of the stainless steel heater based on the data provided by the data acquisition and processing module, and sends the analysis results to the performance evaluation report generation module. The performance evaluation report generation module generates an intuitive thermal conduction performance evaluation report based on the analysis results provided by the thermal conduction characteristic analysis module, and sends the thermal conduction performance evaluation report of the stainless steel heater to the touch-screen control display module for display.

[0009] Furthermore, the specific processing process of the data acquisition and processing module is as follows:

[0010] The received data is preliminarily checked and filtered to remove any noise and abnormal data. The processed data is then classified and organized. The heating parameters and corresponding temperature data are associated and stored in a time series to form a complete data set. A preliminary statistical analysis of the data is then performed, including calculating the average, maximum, and minimum temperatures at each location. These statistical results are then transmitted to the heat conduction characteristic analysis module.

[0011] Furthermore, the specific operation process of the heat conduction characteristics analysis module includes:

[0012] Receive the data information transmitted by the data acquisition and processing module, analyze the temperature change curve of each position of the stainless steel heater over time, and preliminarily judge the heat conduction speed and temperature distribution uniformity of the stainless steel heater by observing the shape and slope characteristics of the curve. Combined with the actual heating parameters provided by the heating simulation control module, analyze the differences in the thermal conductivity performance of the stainless steel heater under different heating conditions, and use the analysis algorithm to estimate the key thermal conduction parameters of the stainless steel heater. The analysis results are transmitted to the performance evaluation report generation module in the form of structured data.

[0013] Furthermore, the specific operation process of the performance evaluation report generation module includes:

[0014] Receive the analysis results of the heat conduction characteristics analysis module, format the data, arrange various analysis data and conclusions in a logical order, and comprehensively evaluate the thermal conductivity performance of the stainless steel heater based on preset evaluation standards and rules, and give a corresponding performance grade; when generating a report, present the evaluation results in various forms including text descriptions and graphical displays.

[0015] Furthermore, the heating simulation control module is communicatively connected to the power supply working status evaluation module. The heating simulation control module sends the operating information of the heating power supply to the power supply working status evaluation module. The power supply working status evaluation module analyzes and evaluates the working status of the heating power supply to generate an unqualified working status signal or a qualified working status signal of the heating power supply. When the unqualified working status signal is generated, it is sent to the touch-screen control display module for display, and the touch-screen control display module issues a corresponding warning when receiving the unqualified working status signal.

[0016] Furthermore, the specific analysis process of the power supply working status evaluation module includes:

[0017] The voltage curve and power curve of the heating power supply in unit time are collected, the standard deviation of the actual voltage value of the heating power supply in unit time is obtained and marked as the voltage standard deviation coefficient, and the standard deviation of the actual power value of the heating power supply in unit time is marked as the power standard deviation coefficient, and the voltage standard deviation coefficient and the power standard deviation coefficient are numerically compared with the preset voltage standard deviation coefficient threshold and the preset power standard deviation coefficient threshold, respectively. If the voltage standard deviation coefficient or the power standard deviation coefficient exceeds the corresponding preset threshold, a working state unqualified signal of the heating power supply is generated;

[0018] If the voltage standard deviation coefficient and the power standard deviation coefficient do not exceed the corresponding preset threshold value, then when the deviation between the actual voltage value and the set voltage value is not within the allowable voltage deviation range or the deviation between the actual power and the set power value is not within the allowable power deviation range, it is judged that the heating power supply is in an abnormal operating state; the total time length of the heating power supply in the unit time being in the abnormal operating state is obtained and marked as the state abnormal time value, and the state abnormal time value is numerically compared with the preset state abnormal time threshold; if the state abnormal time value exceeds the preset state abnormal time threshold, an unqualified working state signal of the heating power supply is generated.

[0019] Furthermore, if the state anomaly value does not exceed the preset state anomaly threshold, the maximum deviation value between the actual voltage value of the heating power supply and the set voltage value per unit time is collected and marked as a voltage anomaly characteristic value, and the maximum deviation value between the actual power of the heating power supply and the set power value per unit time is collected and marked as a power anomaly characteristic value;

[0020] The power supply state characteristic value is obtained by weighted summing up the state anomaly value, voltage anomaly characteristic value and power anomaly characteristic value, and the power supply state characteristic value is numerically compared with the preset power supply state characteristic threshold. If the power supply state characteristic value exceeds the preset power supply state characteristic threshold, an unqualified working state signal of the heating power supply is generated; if the power supply state characteristic value does not exceed the preset power supply state characteristic threshold, a qualified working state signal of the heating power supply is generated.

[0021] Furthermore, the power supply working status assessment module is communicatively connected to the regional environmental status assessment module, and the power supply working status assessment module sends a working status qualified signal to the regional environmental status assessment module. When the regional environmental status assessment module receives the working status qualified signal, it evaluates the environmental status of the stainless steel heater during the heat conduction detection, and generates an environmental status qualified signal or an environmental status unqualified signal accordingly. When the environmental status unqualified signal is generated, it is sent to the touch-screen display for display, and the touch-screen display issues a corresponding warning when receiving the environmental status unqualified signal.

[0022] Furthermore, the specific analysis process of the regional environmental status assessment module is as follows:

[0023] By deploying a platinum resistance temperature sensor or a thermocouple temperature sensor at a certain distance from the heater and not affected by direct radiation from the heater, the ambient temperature of the environment in which the stainless steel heater is located is monitored in real time. A capacitive humidity sensor or a resistive humidity sensor is used to monitor the ambient humidity of the environment in which the stainless steel heater is located in real time. A digital barometer or a mercury barometer is used to monitor the atmospheric pressure of the environment in which the stainless steel heater is located in real time.

[0024] The difference between the ambient temperature and the median of the preset suitable detection ambient temperature range is calculated and the absolute value is taken to obtain the temperature state value. Similarly, the humidity state value and the air pressure state value are obtained. The airflow velocity is measured in real time by a hot wire anemometer or a vane anemometer deployed around the heater, and the real-time airflow velocity is marked as the airflow state value;

[0025] The actual ring state value is calculated by weighted summing the temperature state value, humidity state value, air pressure state value and air velocity state value, and the actual ring state value is compared with the preset actual ring state value threshold. If the actual ring state value exceeds the preset actual ring state value threshold, it is judged that the current environment of the stainless steel heater is in a monitoring impact state; the total time the environment is in the monitoring impact state per unit time is obtained and marked as the ring state anomaly value, and the actual ring state value is compared with the preset actual ring state value threshold. If the actual ring state value exceeds the preset actual ring state value threshold, an environmental state unqualified signal is generated.

[0026] Furthermore, if the ring state anomaly value does not exceed the preset ring state anomaly threshold, the ring state performance value is obtained by averaging all the ring state measured values within the unit time, and the ring state measured value with the largest value within the unit time is marked as the ring state anomaly amplitude value. The environmental state characteristic value is calculated by weighted summing the ring state anomaly value, the ring state performance value, and the ring state anomaly amplitude value.

[0027] The environmental state characteristic value is numerically compared with the preset environmental state characteristic threshold. If the environmental state characteristic value exceeds the preset environmental state characteristic threshold, an environmental state unqualified signal is generated; if the environmental state characteristic value does not exceed the preset environmental state characteristic threshold, an environmental state qualified signal is generated.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1. In the present invention, the heating simulation control module controls the operation of the heating power supply according to the set parameters. At the same time, the non-contact infrared temperature measurement array module collects temperature data in real time. The data acquisition and processing module and the heat conduction characteristic analysis module process and deeply analyze the received data. Based on the analysis results, a performance evaluation report is generated, which can accurately reflect the heat conduction characteristics of the heater under actual working conditions and intuitively display them.

[0030] 2. In the present invention, the working status of the heating power supply is analyzed and evaluated by the power supply working status evaluation module. When an unqualified working status signal is generated, the heating power supply is inspected, regulated, repaired, or replaced. When a qualified working status signal is generated, the environmental status of the stainless steel heater during the heat conduction detection is evaluated by the regional environmental status evaluation module. When an unqualified environmental status signal is generated, the environment is regulated. This is conducive to ensuring the accuracy of the heat conduction detection results of the stainless steel heater, significantly reducing the difficulty of supervision of the detection process, and has a high level of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0032] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0033] Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0035] Example 1: Figure 1As shown, the present invention proposes a thermal conductivity performance detection system suitable for stainless steel heaters, which includes a heating simulation control module, a non-contact infrared temperature measurement array module, a data acquisition and processing module, a thermal conductivity characteristic analysis module, a performance evaluation report generation module and a touch-sensitive control display module;

[0036] The operator inputs the corresponding control parameters through the touch-sensitive display module based on the specifications of the stainless steel heater to be tested (such as power, size, etc.) and the expected working conditions (such as heating temperature range, heating time, etc.). After the heating simulation control module receives these parameters, the internal control circuit starts working and controls the output power and output time of the heating power supply according to the preset logic and algorithm to simulate the heating process of the stainless steel heater in the actual working scenario.

[0037] At the same time, the heating simulation control module will transmit the current actual heating parameters (such as actual output power, heating time, etc.) to the data acquisition and processing module in real time, providing basic data for subsequent data analysis.

[0038] The non-contact infrared temperature measurement array module consists of multiple high-precision temperature sensors, which are reasonably arranged at different key positions of the stainless steel heater, such as the surface of the heater and near the internal heating elements. After the heating simulation control module starts the heating process, each temperature sensor starts working and is responsible for real-time monitoring of the temperature changes of the stainless steel heater during the heating process. The collected temperature signals are converted into electrical signals and transmitted to the data acquisition and processing module.

[0039] The data acquisition and processing module is responsible for receiving data transmitted from the heating simulation control module and the non-contact infrared temperature measurement array module, and processing and storing these data; the specific processing process of the data acquisition and processing module is as follows:

[0040] First, the received data is preliminarily checked and filtered to remove noise and abnormal data to improve the accuracy and reliability of the data. Then, the processed data is classified and sorted, and the heating parameters and corresponding temperature data are associated and stored in time series to form a complete data set. At the same time, the data will be preliminarily statistically analyzed, such as calculating the average, maximum and minimum temperatures at each location, and these statistical results are transmitted to the heat conduction characteristics analysis module to provide data support for further analysis.

[0041] The heat conduction characteristics analysis module analyzes the heat conduction characteristics of the stainless steel heater based on the data provided by the data acquisition and processing module, and sends the analysis results to the performance evaluation report generation module. The specific operation process of the heat conduction characteristics analysis module includes:

[0042] The data information transmitted by the data acquisition and processing module is received. First, the temperature variation curve of each position of the stainless steel heater over time is analyzed. By observing the shape and slope of the curve, the heat conduction speed and temperature distribution uniformity of the stainless steel heater are preliminarily judged. Then, combined with the actual heating parameters provided by the heating simulation control module, the differences in the thermal conductivity performance of the stainless steel heater under different heating conditions are analyzed. For example, by comparing the temperature changes of various parts of the heater under different output powers, the heat conduction efficiency of the heater under different working conditions is evaluated.

[0043] In addition, the thermal conductivity characteristics analysis module also uses specific analysis algorithms to estimate key thermal conductivity parameters such as the thermal resistance and thermal diffusivity of the stainless steel heater, thereby comprehensively and deeply understanding the thermal conductivity performance of the heater. After the analysis is completed, the thermal conductivity characteristics analysis module transmits the analysis results in the form of structured data to the performance evaluation report generation module.

[0044] The performance evaluation report generation module generates an intuitive thermal conductivity performance evaluation report based on the analysis results provided by the thermal conductivity characteristic analysis module, and sends the thermal conductivity performance evaluation report of the stainless steel heater to the touch-sensitive control display module for display. The specific operation process of the performance evaluation report generation module includes:

[0045] After receiving the analysis results from the heat conduction characteristics analysis module, the module first formats the data and arranges the various analysis data and conclusions in a certain logical order. Then, the module comprehensively evaluates the heat conduction performance of the stainless steel heater according to the preset evaluation standards and rules, and gives the corresponding performance grade (such as excellent, good, fair, poor, etc.);

[0046] When generating a report, the evaluation results are presented in a variety of formats, including text descriptions and graphical displays, allowing users to clearly understand the heater's thermal conductivity performance strengths and weaknesses. Ultimately, the performance evaluation report generation module will generate a complete evaluation report and display it to the user via the touch-sensitive display module. The user can also export the report to common file formats (such as PDF, Word, etc.) for archiving and sharing.

[0047] Example 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the heating simulation control module is communicatively connected to the power supply working state evaluation module. The heating simulation control module sends the operating information of the heating power supply to the power supply working state evaluation module. The power supply working state evaluation module analyzes and evaluates the working state of the heating power supply to generate a working state unqualified signal or a working state qualified signal of the heating power supply.

[0048] When a signal indicating an unqualified working state is generated, it is sent to the touch-sensitive control display module for display. Upon receiving the signal, the touch-sensitive control display module issues a corresponding warning to remind the operator to investigate and analyze the cause and inspect, adjust, repair, or replace the heating power supply, thereby ensuring the heating effect and stable and safe operation of the heating power supply, and thus ensuring the accuracy of the thermal conductivity test results of the stainless steel heater. The specific analysis process of the power supply working state evaluation module is as follows:

[0049] The voltage curve and power curve of the heating power supply in unit time are collected, the standard deviation of the actual voltage value of the heating power supply in unit time is obtained and marked as the voltage standard deviation coefficient, and the standard deviation of the actual power value of the heating power supply in unit time is marked as the power standard deviation coefficient, and the voltage standard deviation coefficient and the power standard deviation coefficient are numerically compared with the preset voltage standard deviation coefficient threshold and the preset power standard deviation coefficient threshold, respectively. If the voltage standard deviation coefficient or the power standard deviation coefficient exceeds the corresponding preset threshold, it indicates that the voltage or power stability of the heating power supply is poor and the working state of the heating power supply is poor, and then a working state unqualified signal of the heating power supply is generated;

[0050] If the voltage standard deviation coefficient and the power standard deviation coefficient do not exceed the corresponding preset threshold value, when the deviation between the actual voltage value and the set voltage value is not within the allowable voltage deviation range or the deviation between the actual power value and the set power value is not within the allowable power deviation range, it indicates that the real-time operating condition of the heating power supply is poor, and it is judged that the heating power supply is in an abnormal operating state;

[0051] The total time that the heating power supply is in an abnormal operating state per unit time is obtained and marked as the state abnormal time value. The state abnormal time value is compared with the preset state abnormal time threshold. If the state abnormal time value exceeds the preset state abnormal time threshold, it indicates that the working state of the heating power supply is poor, which is not conducive to ensuring the accuracy of the heat conduction detection results and the stability of the detection process, and a heating power supply working state unqualified signal is generated.

[0052] Furthermore, if the state anomaly value does not exceed the preset state anomaly threshold, the maximum deviation value between the actual voltage value of the heating power supply and the set voltage value per unit time is collected and marked as a voltage anomaly characteristic value, and the maximum deviation value between the actual power of the heating power supply and the set power value per unit time is collected and marked as a power anomaly characteristic value;

[0053] The power supply state characteristic value is calculated by weighted summing the state anomaly value, the voltage anomaly characteristic value, and the power anomaly characteristic value; that is, the state anomaly value, the voltage anomaly characteristic value, and the power anomaly characteristic value are respectively assigned corresponding preset weight coefficients, and the state anomaly value, the voltage anomaly characteristic value, and the power anomaly characteristic value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three sets of product results is marked as the power supply state characteristic value; it should be noted that the larger the value of the power supply state characteristic value, the worse the working state of the heating power supply is overall;

[0054] The power state characteristic value is numerically compared with the preset power state characteristic threshold. If the power state characteristic value exceeds the preset power state characteristic threshold, it indicates that the working state of the heating power supply is generally poor, which is not conducive to ensuring the accuracy of the heat conduction detection results and the stability of the detection process. In this case, an unqualified working state signal of the heating power supply is generated. If the power state characteristic value does not exceed the preset power state characteristic threshold, it indicates that the working state of the heating power supply is generally good, which is conducive to ensuring the accuracy of the heat conduction detection results and the stability of the detection process. In this case, a qualified working state signal of the heating power supply is generated.

[0055] Example 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the power supply working state assessment module is communicatively connected to the regional environmental state assessment module. The power supply working state assessment module sends a working state qualified signal to the regional environmental state assessment module. When the regional environmental state assessment module receives the working state qualified signal, it assesses the environmental state of the stainless steel heater during the heat conduction detection and generates an environmental state qualified signal or an environmental state unqualified signal accordingly.

[0056] When an environmental status unqualified signal is generated, it is sent to the touch-screen display for display. The touch-screen display issues a corresponding warning when receiving the environmental status unqualified signal to remind the operator to investigate and analyze the cause and adjust the environment accordingly, ensuring that the environment in which the stainless steel heater is located remains suitable, reducing the adverse effects of the environmental status on the thermal conductivity performance test results, further ensuring the accuracy of the thermal conductivity test results of the stainless steel heater, significantly reducing the difficulty of supervision of the test process, and having a high level of intelligence. The specific analysis process of the regional environmental status assessment module is as follows:

[0057] By deploying a platinum resistance temperature sensor or a thermocouple temperature sensor at a certain distance from the heater and not affected by direct radiation from the heater, the ambient temperature of the environment in which the stainless steel heater is located is monitored in real time. A capacitive humidity sensor or a resistive humidity sensor is used to monitor the ambient humidity of the environment in which the stainless steel heater is located in real time. A digital barometer or a mercury barometer is used to monitor the atmospheric pressure of the environment in which the stainless steel heater is located in real time.

[0058] The difference between the ambient temperature and the median of the preset suitable detection ambient temperature range is calculated and the absolute value is taken to obtain the temperature state value. Similarly, the humidity state value and the air pressure state value are obtained. The airflow velocity is measured in real time by a hot wire anemometer or a vane anemometer deployed around the heater, and the real-time airflow velocity is marked as the airflow state value;

[0059] The ring state measured value is calculated by weighted summing the temperature state value, the humidity state value, the air pressure state value, and the air velocity state value; that is, the temperature state value, the humidity state value, the air pressure state value, and the air velocity state value are respectively assigned corresponding preset weight coefficients, and the temperature state value, the humidity state value, the air pressure state value, and the air velocity state value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the four groups of product results is marked as the ring state measured value; it should be noted that the larger the value of the ring state measured value, the worse the real-time environmental condition of the detection area of the stainless steel heater is overall;

[0060] Compare the actual ring state value with the preset ring state measurement threshold. If the actual ring state value exceeds the preset ring state measurement threshold, it indicates that the real-time environmental conditions of the detection area of the stainless steel heater are generally poor, and the current environment of the stainless steel heater is judged to be in a monitoring impact state.

[0061] The total time that the environment is in the monitoring impact state per unit time is obtained and marked as the ring state anomaly value, and the ring state anomaly value is compared with the preset ring state anomaly threshold. If the ring state anomaly value exceeds the preset ring state anomaly threshold, it indicates that the environmental control performance of the environment in which the stainless steel heater is located per unit time is poor, which is not conducive to ensuring the accuracy of the heat conduction detection results, and an environmental state unqualified signal is generated.

[0062] Furthermore, if the ring state asymmetry value does not exceed the preset ring state asymmetry threshold, the ring state performance value is obtained by averaging all the ring state measured values within the unit time, and the ring state measured value with the largest value within the unit time is marked as the ring state asymmetry value;

[0063] The environmental state characteristic value is calculated by weighted summing the ring state time difference value, the ring state performance value, and the ring state amplitude difference value; that is, the ring state time difference value, the ring state performance value, and the ring state amplitude difference value are respectively assigned corresponding preset weight coefficients, and the ring state time difference value, the ring state performance value, and the ring state amplitude difference value are respectively multiplied by the corresponding preset weight coefficients, and the sum of the three sets of product results is marked as the environmental state characteristic value; it should be noted that the larger the value of the environmental state characteristic value, the worse the overall environmental control performance of the environment in which the stainless steel heater is located per unit time, and the less conducive it is to ensuring the accuracy of the heat conduction detection results;

[0064] The environmental state characteristic value is numerically compared with the preset environmental state characteristic threshold. If the environmental state characteristic value exceeds the preset environmental state characteristic threshold, it indicates that the environmental control performance of the environment in which the stainless steel heater is located per unit time is generally poor, which is not conducive to ensuring the accuracy of the heat conduction detection result, and an environmental state unqualified signal is generated; if the environmental state characteristic value does not exceed the preset environmental state characteristic threshold, it indicates that the environmental control performance of the environment in which the stainless steel heater is located per unit time is generally good, which is conducive to ensuring the accuracy of the heat conduction detection result, and an environmental state qualified signal is generated.

[0065] The working principle of the present invention is as follows: when in use, the heating power supply is controlled by the heating simulation control module according to the set parameters, and at the same time, the non-contact infrared temperature measurement array module collects temperature data in real time. The data acquisition and processing module processes and stores the received data, and transmits the preliminary statistical results to the heat conduction characteristic analysis module. The heat conduction characteristic analysis module conducts in-depth analysis based on the data and estimates key heat conduction parameters, and transmits the analysis results to the performance evaluation report generation module. The performance evaluation report generation module generates a performance evaluation report based on the analysis results and displays it to the user, which can accurately reflect the heat conduction characteristics of the heater under actual working conditions and display it intuitively. The working status of the heating power supply is analyzed and evaluated by the power supply working status evaluation module. When a qualified working status signal is generated, the environmental status of the stainless steel heater during heat conduction detection is evaluated by the regional environmental status evaluation module, which facilitates the operator to make corresponding adjustment and improvement measures in time, ensures the accuracy of the heat conduction detection results of the stainless steel heater, significantly reduces the supervision difficulty of the detection process, and has a high level of intelligence.

[0066] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The setting of the threshold in the technical solution is for result comparison and analysis to determine whether it is good or bad. The value of the threshold is set based on a combination of large-scale model analysis of sample data and manual experience to set the entry and storage, and can also be appropriately adjusted based on seasonal or common sense influencing conditions.

[0067] The preferred embodiments do not describe all details in detail, nor do they limit the invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A thermal conductivity detection system suitable for stainless steel heaters, characterized in that: The system includes a heating simulation control module, a non-contact infrared temperature measurement array module, a data acquisition and processing module, a heat conduction characteristics analysis module, a performance evaluation report generation module, and a touch-screen display module. The operator inputs corresponding control parameters through the touch-screen display module based on the specifications of the stainless steel heater to be tested and the expected operating conditions. After the heating simulation control module receives these parameters, the internal control circuit starts operating, controlling the output power and output time of the heating power supply according to preset logic and algorithms to simulate the heating process of the stainless steel heater in actual working scenarios. The non-contact infrared temperature measurement array module is responsible for real-time monitoring of the temperature changes of the stainless steel heater during the heating process. The data acquisition and processing module is responsible for receiving data transmitted from the heating simulation control module and the non-contact infrared temperature measurement array module, and processing and storing these data. The thermal conduction characteristic analysis module deeply analyzes the thermal conduction characteristics of the stainless steel heater based on the data provided by the data acquisition and processing module, and sends the analysis results to the performance evaluation report generation module. The performance evaluation report generation module generates an intuitive thermal conduction performance evaluation report based on the analysis results provided by the thermal conduction characteristic analysis module, and sends the thermal conduction performance evaluation report of the stainless steel heater to the touch-screen control display module for display.

2. A thermal conductivity detection system for a stainless steel heater according to claim 1, characterized in that: The specific processing process of the data acquisition and processing module is as follows: preliminary verification and filtering of the received data to remove existing noise and abnormal data, and classification and organization of the processed data, and storage of the heating parameters and corresponding temperature data in a time series to form a complete data set, as well as preliminary statistical analysis of the data, including calculation of the average, maximum and minimum temperatures at each location, and transmission of these statistical results to the heat conduction characteristics analysis module.

3. The thermal conductivity detection system for a stainless steel heater according to claim 1, characterized in that: The specific operation process of the heat conduction characteristics analysis module includes: The temperature variation curves at various positions of the stainless steel heater over time are analyzed. By observing the shape and slope characteristics of the curves, the heat conduction speed and temperature distribution uniformity of the stainless steel heater are preliminarily judged. Combined with the actual heating parameters provided by the heating simulation control module, the differences in the thermal conductivity performance of the stainless steel heater under different heating conditions are analyzed. The key thermal conduction parameters of the stainless steel heater are estimated using an analysis algorithm, and the analysis results are transmitted to the performance evaluation report generation module in the form of structured data.

4. The thermal conductivity detection system for a stainless steel heater according to claim 1, characterized in that: The specific operation process of the performance evaluation report generation module includes: formatting the data, arranging various analysis data and conclusions in a logical order, and comprehensively evaluating the thermal conductivity performance of the stainless steel heater based on preset evaluation standards and rules, and giving a corresponding performance grade; when generating the report, the evaluation results are presented in a variety of forms including text descriptions and graphical displays.

5. The thermal conductivity detection system for stainless steel heaters according to claim 1, characterized in that: The heating simulation control module is communicatively connected to the power supply working status evaluation module. The heating simulation control module sends the operating information of the heating power supply to the power supply working status evaluation module. The power supply working status evaluation module analyzes and evaluates the working status of the heating power supply to generate an unqualified working status signal or a qualified working status signal of the heating power supply. When the unqualified working status signal is generated, it is sent to the touch-type control display module for display.

6. A thermal conductivity detection system adapted for a stainless steel heater according to claim 5, characterized in that: The specific analysis process of the power supply working status assessment module includes: The voltage curve and power curve of the heating power supply in unit time are collected. If the voltage standard deviation coefficient or the power standard deviation coefficient exceeds the corresponding preset threshold, a working state unqualified signal of the heating power supply is generated; If the voltage standard deviation coefficient and the power standard deviation coefficient do not exceed the corresponding preset threshold value, the total time that the heating power supply is in an abnormal operating state per unit time is obtained and marked as the state abnormal time value. If the state abnormal time value exceeds the preset state abnormal time threshold, an unqualified working state signal of the heating power supply is generated.

7. A thermal conductivity detection system adapted for a stainless steel heater according to claim 6, characterized in that: If the state anomaly value does not exceed the preset state anomaly threshold, the power supply state characteristic value is obtained by weighted summing the state anomaly value, the voltage anomaly characteristic value and the power anomaly characteristic value. If the power supply state characteristic value exceeds the preset power supply state characteristic threshold, an unqualified working state signal of the heating power supply is generated; otherwise, a qualified working state signal of the heating power supply is generated.

8. The thermal conductivity detection system for a stainless steel heater according to claim 5, characterized in that: The power supply working status assessment module is communicatively connected to the regional environmental status assessment module. When the regional environmental status assessment module receives the working status qualified signal, it assesses the environmental status of the stainless steel heater during the heat conduction detection, and generates an environmental status qualified signal or an environmental status unqualified signal accordingly. When the environmental status unqualified signal is generated, it is sent to the touch-screen display for display.

9. A thermal conductivity detection system adapted for a stainless steel heater according to claim 8, characterized in that: The specific analysis process of the regional environmental status assessment module is as follows: the ring state measured value is calculated by weighted summation of the temperature state value, humidity state value, air pressure state value and air velocity state value. If the ring state measured value exceeds the preset ring state measured threshold, it is judged that the current environment of the stainless steel heater is in a monitoring impact state; the total time the environment is in the monitoring impact state per unit time is obtained and marked as the ring state anomaly value. If the ring state anomaly value exceeds the preset ring state anomaly threshold, an environmental status unqualified signal is generated.

10. A thermal conductivity detection system adapted for a stainless steel heater according to claim 9, characterized in that: If the ring state anomaly value does not exceed the preset ring state anomaly threshold, the environmental state characteristic value is calculated by weighted summing the ring state anomaly value, the ring state performance value and the ring state amplitude value; if the environmental state characteristic value exceeds the preset environmental state characteristic threshold, an environmental state unqualified signal is generated; if the environmental state characteristic value does not exceed the preset environmental state characteristic threshold, an environmental state qualified signal is generated.

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