A method for detecting thermal conductivity performance of molten salt electric heater

Abstract

The present application relates to the technical field of thermal conductivity performance detection, and provides a method for detecting the thermal conductivity performance of a molten salt electric heater. The method includes: obtaining basic information of the equipment; obtaining the molten salt to be heated; connecting a storage unit, obtaining empirical data in combination with the basic information of the equipment, and preheating the molten salt electric heater; turning on the molten salt electric heater, synchronously monitoring the temperature changes at key positions, and collecting temperature monitoring data; introducing the molten salt flow data corresponding to the molten salt to be heated, and based on the temperature monitoring data, calculating the corresponding molten salt temperature change rate by changing the heating power of the molten salt electric heater; based on the heating power and the molten salt temperature change rate, analyzing the thermal conductivity performance of the molten salt electric heater, and performing heat loss correction optimization. The present application solves the technical problems that the traditional thermal conductivity performance detection method is inaccurate, inefficient, and cannot optimize heat loss in real time, and achieves the effect of improving the efficiency and accuracy of thermal conductivity performance detection by optimizing heat loss correction.

Description

Technical Field

[0001] The present application relates to the field of material science and technology, specifically to the field of thermal conductivity performance detection technology, and in particular to a method for detecting the thermal conductivity performance of a molten salt electric heater. Background Art

[0002] With the rapid development of modern industrial technology, molten salt electric heaters, as important thermal energy conversion equipment, play a vital role in the fields of petrochemicals, metal smelting, and material processing. Molten salt electric heaters convert electrical energy into thermal energy through electric heating elements, thereby heating the molten salt medium to reach the required process temperature. However, with the continuous expansion of production scale and the increasing process requirements, higher requirements are placed on the thermal conductivity performance of molten salt electric heaters. The thermal conductivity performance of molten salt electric heaters directly affects their heating efficiency and service life. An efficient molten salt electric heater should have excellent thermal conductivity, be able to quickly convert electrical energy into thermal energy, and transfer heat to the molten salt medium evenly and quickly. However, traditional methods for detecting the thermal conductivity performance of molten salt electric heaters often have problems such as long detection cycle, complex operation, and low accuracy, which makes it difficult to meet the needs of modern industrial production for efficient and accurate detection. Summary of the invention

[0003] The present application provides a method for detecting the thermal conductivity performance of a molten salt electric heater, aiming to solve the technical problems that the traditional method for detecting the thermal conductivity performance of a molten salt electric heater is inaccurate, inefficient, and unable to optimize heat loss in real time.

[0004] In view of the above problems, the present application provides a method for detecting the thermal conductivity performance of a molten salt electric heater.

[0005] The present application provides a method for detecting the thermal conductivity performance of a molten salt electric heater, the method comprising: obtaining basic equipment information of the molten salt electric heater, the basic equipment information comprising equipment model, equipment rated power, and operating temperature range; obtaining molten salt to be heated, the molten salt to be heated being composed of potassium nitrate and sodium nitrate; connecting a storage unit of the molten salt electric heater, obtaining empirical data in combination with the basic equipment information, and preheating the molten salt electric heater according to the empirical data; after receiving a start signal, turning on the molten salt electric heater, and after reaching a thermal equilibrium state, synchronously monitoring temperature changes at key positions and collecting temperature monitoring data; introducing molten salt flow data corresponding to the molten salt to be heated, and based on the temperature monitoring data, calculating the corresponding molten salt temperature change rate by changing the heating power of the molten salt electric heater; based on the heating power and the molten salt temperature change rate, analyzing the thermal conductivity performance of the molten salt electric heater, and performing heat loss correction optimization.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The above-mentioned method for detecting the thermal conductivity performance of a molten salt electric heater first obtains the key equipment information of the molten salt electric heater, including the model of the equipment, the rated power, and the temperature range in which it can work. This information is the basis for understanding the performance of the equipment. Subsequently, the heated molten salt is obtained, which is a mixture of potassium nitrate and sodium nitrate. After that, the storage unit of the molten salt electric heater is connected to obtain past experience data from it. These data will be used to set appropriate preheating parameters for the electric heater to ensure that it can start working in the best state. Once the start signal is received, the molten salt electric heater starts to operate. After the electric heater reaches a thermal equilibrium state, that is, when its internal temperature is stable and no longer changes significantly, the temperature changes of key parts of the equipment are synchronously monitored and recorded. At the same time, the flow data of the molten salt is introduced, and combined with the temperature monitoring data collected previously, the temperature change rate of the molten salt is calculated by adjusting the heating power of the electric heater. This change rate reflects the efficiency of the electric heater in heating the molten salt. Then, based on the heating power and the temperature change rate of the molten salt, the thermal conductivity performance of the molten salt electric heater is analyzed. If heat loss is found, heat loss correction optimization is performed to improve the heat transfer efficiency and performance of the heater.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic diagram of a process for detecting the thermal conductivity of a molten salt electric heater in one embodiment;

[0011] Figure 2 The present invention is a schematic flow chart of obtaining a temperature-pressure-flow data sequence of a method for detecting the thermal conductivity performance of a molten salt electric heater in an embodiment. DETAILED DESCRIPTION

[0012] The embodiment of the present application provides a method for detecting the thermal conductivity performance of a molten salt electric heater, thereby solving the technical problems that a conventional method for detecting the thermal conductivity performance of a molten salt electric heater is inaccurate, inefficient, and unable to optimize heat loss in real time.

[0013] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0014] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0015] Examples, such as Figure 1 As shown, the present application provides a method for detecting the thermal conductivity performance of a molten salt electric heater, the method comprising:

[0016] Obtain basic equipment information of the molten salt electric heater, wherein the basic equipment information includes equipment model, equipment rated power, and operating temperature range; obtain molten salt to be heated, wherein the molten salt to be heated is composed of potassium nitrate and sodium nitrate.

[0017] In an embodiment of the present application, during the detection of the thermal conductivity performance of the molten salt electric heater, the system terminal first obtains the basic information of the molten salt electric heater. This information includes the equipment model, the equipment rated power, and the operating temperature range. Among them, the equipment model describes the specific type and specification of the molten salt electric heater; the equipment rated power reflects the power consumption of the molten salt electric heater under normal working conditions; the equipment operating temperature range defines the temperature range in which the molten salt electric heater can be safely and effectively heated. Subsequently, the molten salt to be heated is obtained. This molten salt is a mixture of two chemical substances, potassium nitrate and sodium nitrate. These two substances are selected because they have specific melting points and thermal conductivity properties, and are suitable as heating media for electric heaters. The information obtained is an important basis for understanding equipment performance and conducting subsequent testing and analysis.

[0018] A storage unit connected to the molten salt electric heater is used to obtain experience data in combination with the basic information of the device, and preheating settings are performed on the molten salt electric heater according to the experience data.

[0019] In one embodiment, when preparing to test the thermal conductivity performance of the molten salt electric heater, the system terminal establishes a connection relationship with the storage unit of the electric heater. This storage unit stores historical operation data and experience data based on basic information of the device. By accessing these experience data, the system terminal can preheat the molten salt electric heater. The preheating setting is to ensure that the electric heater reaches a suitable working state before formal operation, that is, to configure the initial state parameters of the molten salt electric heater, thereby improving the detection efficiency and accuracy, and preparing for subsequent detection work.

[0020] After receiving the start signal, the molten salt electric heater is turned on, and after reaching a thermal equilibrium state, the temperature changes at key positions are synchronously monitored to collect temperature monitoring data.

[0021] In one embodiment, after receiving the start signal, the system terminal starts the molten salt electric heater. In order to ensure the stability and safety of the heating process, after the electric heater reaches a thermal equilibrium state, that is, when its internal temperature distribution is relatively stable, the system terminal calls the pre-deployed sensors to synchronously monitor the temperature changes at key locations. This process involves real-time collection of temperature monitoring data for subsequent analysis and evaluation of the thermal conductivity performance of the electric heater.

[0022] Further, if Figure 2 As shown, the present application provides the key position, and the method further includes:

[0023] The key positions include an inlet and an outlet of a molten salt electric heater; a multi-source monitoring module is arranged at the key position to collect multi-source monitoring data, wherein the multi-source monitoring data includes temperature monitoring data, pressure monitoring data, and humidity monitoring data; based on the multi-source monitoring data, data alignment is performed in combination with the molten salt flow data corresponding to the molten salt to be heated to obtain a temperature-pressure-flow data sequence.

[0024] Preferably, during the thermal conductivity performance detection process of the molten salt electric heater, the system terminal focuses on analyzing the two key positions of the entrance and exit of the molten salt electric heater. In order to ensure comprehensive and accurate monitoring of the heating process, the system terminal is equipped with multi-source monitoring modules at these two key positions. These modules can simultaneously collect various types of monitoring data, including temperature, pressure, and humidity. Once the multi-source monitoring module starts working, the temperature, pressure, and humidity data of these key positions will be collected in real time to form multi-source monitoring data. In order to analyze the performance of the heater more deeply, the system terminal aligns these multi-source monitoring data with the flow data of the molten salt to be heated. Through alignment, a temperature-pressure-flow data sequence is obtained, which can comprehensively reflect the heating state and flow of the molten salt in the electric heater.

[0025] Furthermore, the present application provides a method for obtaining a temperature-pressure-flow data sequence based on the multi-source monitoring data, and the method further includes:

[0026] After changing the heating power of the molten salt electric heater, the response time is recorded to obtain the response speed; based on the response speed and in combination with the temperature-pressure-flow data sequence, dynamic response optimization is performed.

[0027] Optionally, when the heating power of the molten salt electric heater needs to be adjusted, the system terminal records the response time required for the molten salt electric heater to change from the current state to the new stable state, which reflects the response speed of the heater. Response speed is one of the important indicators to measure the performance of the heater, which determines whether the heater can respond quickly and accurately to changes in heating demand. After obtaining the response speed, the system terminal optimizes the dynamic response of the molten salt electric heater in combination with the previously obtained temperature-pressure-flow data sequence. This process involves adjusting the heater control strategy, that is, changing the parameter values ​​such as temperature, power and flow to ensure that when the heating power changes, the heater can quickly and smoothly transition to a new working state while maintaining the stability of temperature, pressure and flow.

[0028] Furthermore, the present application provides a method for performing dynamic response optimization based on the response speed in combination with the temperature-pressure-flow data sequence, and the method further includes:

[0029] Acquire real-time control parameters of the molten salt electric heater, wherein the real-time control parameters include operating temperature, current heating power, and molten salt flow data; extract distribution features through the real-time control parameters, and locate the current heating cycle and adjust parameters in combination with the temperature-pressure-flow data sequence.

[0030] Optionally, during the operation of the molten salt electric heater, the system terminal first obtains the real-time control parameters of the molten salt electric heater, which are specific manifestations of the current working state of the molten salt electric heater, including the current working temperature, the heating power being used, and the flow data of the molten salt. These real-time control parameters provide the system terminal with direct information on the immediate state of the molten salt electric heater. Subsequently, the system terminal extracts the distribution features of the working temperature, current heating power, and molten salt flow data. This process mainly analyzes the changing trends and distribution laws of these working temperatures, current heating power, and molten salt flow data over a period of time, so as to understand the operating stability and possible problems of the molten salt electric heater. Afterwards, the extracted distribution features are combined with the previously obtained temperature-pressure-flow data sequence. Through comparison and analysis, the system terminal can more accurately locate the specific state of the current heating cycle, for example, whether it is in a stable heating stage, whether power adjustment is required, etc. Then, based on these analysis and positioning results, the system terminal makes necessary adjustments to the parameters of the molten salt electric heater. For example, if it is found that the current heating power is too high, resulting in too high temperature, the heating power can be appropriately reduced; if the molten salt flow is unstable, the flow control system can be adjusted to ensure a stable supply of molten salt, which can ensure that the molten salt electric heater can operate efficiently and stably.

[0031] Furthermore, the present application provides extracting distribution features through the real-time control parameters, combining the temperature-pressure-flow data sequence, locating the current heating cycle and adjusting the parameters, and the method also includes:

[0032] Distribution characteristics are extracted through the real-time control parameters to obtain core distribution characteristics, which include temperature distribution characteristics, pressure distribution characteristics, and flow distribution characteristics; time domain analysis is performed based on the temperature-pressure-flow data sequence to obtain time domain characteristic indicators; frequency domain analysis is performed based on the temperature-pressure-flow data sequence to obtain frequency domain characteristic indicators; and a cycle period is set by comparing the core distribution characteristics, the time domain characteristic indicators, and the frequency domain characteristic indicators with the heating stage, and the heating stage includes a temperature rise stage, a heat preservation stage, and a cooling stage.

[0033] Optionally, during the operation of the molten salt electric heater, in order to ensure the efficient and safe operation of the molten salt electric heater, the system terminal takes a series of data analysis and optimization measures. First, by extracting the distribution characteristics of the obtained real-time control parameters such as the working temperature, current heating power, and molten salt flow data, the core distribution characteristics can be obtained. This core distribution feature includes temperature distribution characteristics, pressure distribution characteristics, and flow distribution characteristics. These characteristics reflect the operating status of the molten salt electric heater in different time periods, which helps the system terminal understand the overall performance and potential problems of the molten salt electric heater. Subsequently, the system terminal performs time domain analysis on the temperature-pressure-flow data sequence. Time domain analysis mainly analyzes the trend and law of temperature-pressure-flow data over time. By performing time domain analysis, the system terminal can obtain the time domain characteristic indicators of the molten salt electric heater in different time periods, including the rate of temperature change, the amplitude of pressure fluctuation, etc. These indicators help the system terminal understand the behavior of the molten salt electric heater in different stages such as temperature rise, insulation, and cooling. In addition to time domain analysis, the system terminal also performs frequency domain analysis on the temperature-pressure-flow data sequence. Frequency domain analysis is to analyze the performance of temperature-pressure-flow data at different frequencies. By performing frequency domain analysis, the system terminal can obtain frequency domain characteristic indicators, such as vibration amplitude and noise level at specific frequencies. These indicators can help the system terminal identify possible abnormal vibration or noise sources of the molten salt electric heater, so as to carry out targeted optimization. After that, the system terminal combines the core distribution characteristics, time domain characteristic indicators and frequency domain characteristic indicators, and compares the different heating stages of the molten salt electric heater to set a reasonable cycle for each stage. Among them, the heating stage includes the temperature rise stage, the insulation stage, and the cooling stage. By setting a reasonable cycle, it helps the system terminal optimize the operating efficiency of the molten salt electric heater and ensure that it can maintain the best working state at different stages, thereby realizing the optimized management of the molten salt electric heater.

[0034] Furthermore, the present application provides a method for extracting distribution features, the method further comprising:

[0035] The upper limit of the stacking thickness is obtained, and the pressure fluctuation analysis within the unit area is performed in combination with the current heating power to extract the pressure distribution characteristics; the total amount of molten salt corresponding to the molten salt to be heated is obtained, and the instantaneous flow analysis is performed in combination with the molten salt flow data to extract the flow distribution characteristics.

[0036] Optionally, during the operation of the molten salt electric heater, in order to ensure the safe and efficient operation of the molten salt electric heater, the system terminal first obtains the upper limit of the stack thickness, because the thickness of the stack is closely related to the pressure per unit area. Too thick a stack may cause excessive pressure per unit area, which in turn affects the stability and safety of the heater. Therefore, after determining the upper limit of the stack thickness, the system terminal will analyze the pressure fluctuation per unit area in combination with the current heating power. This process mainly focuses on the pressure changes caused by factors such as temperature changes and molten salt flow during the operation of the molten salt electric heater, and extracts the pressure distribution characteristics. These characteristics can help the system terminal understand the pressure distribution of the molten salt electric heater under different working conditions, so as to carry out targeted optimization. On the other hand, molten salt flow data is also an important parameter that the system terminal needs to understand. The flow rate of molten salt directly affects the heating efficiency of the molten salt electric heater and the circulation speed of the molten salt. Therefore, the system terminal obtains the total amount of molten salt corresponding to the molten salt to be heated, and performs instantaneous flow analysis in combination with the molten salt flow data. This process mainly focuses on the flow of molten salt in the molten salt electric heater, including the stability of the flow rate, the change trend of the flow rate, etc., and extracts the flow distribution characteristics. These characteristics can help the system terminal understand the flow of molten salt in the molten salt electric heater, and then adjust the flow control parameters to ensure that the molten salt can circulate stably and efficiently. In summary, by obtaining the upper limit of the stacking thickness, combining the current heating power to analyze the pressure fluctuations per unit area and extracting the pressure distribution characteristics, as well as obtaining the total amount of molten salt corresponding to the molten salt to be heated, combining the molten salt flow data to perform instantaneous flow analysis and extract flow distribution characteristics, we can fully and deeply understand the operating status of the molten salt electric heater and provide strong data support for optimizing its performance.

[0037] The molten salt flow rate data corresponding to the molten salt to be heated is introduced, and based on the temperature monitoring data, the corresponding molten salt temperature change rate is calculated by changing the heating power of the molten salt electric heater.

[0038] In one embodiment, during the operation of the molten salt electric heater, in order to achieve precise control of the heating process, the system terminal introduces the molten salt flow data corresponding to the molten salt to be heated. The molten salt flow data reflects the amount of molten salt passing through the molten salt electric heater per unit time, and is an important indicator for evaluating the heating efficiency and the molten salt circulation state. At the same time, the system terminal continuously monitors the temperature changes at key positions of the heater and collects temperature monitoring data. These temperature data directly reflect the heat conduction inside the molten salt electric heater and the temperature change of the molten salt. Based on these temperature monitoring data and molten salt flow data, the system terminal analyzes the change in molten salt temperature by adjusting the heating power of the molten salt electric heater. When the heating power increases, the temperature of the molten salt will rise accordingly; conversely, when the heating power decreases, the temperature of the molten salt will decrease. In order to quantify the relationship between this temperature change and the heating power, the system terminal calculates the temperature change rate of the molten salt. The temperature change rate refers to the amount of change in the molten salt temperature per unit time, which reflects the degree of influence of the heating power on the molten salt temperature. By continuously adjusting the heating power and calculating the corresponding molten salt temperature change rate, the system terminal can find the optimal heating power setting to achieve rapid and stable control of the molten salt temperature. This helps to optimize the operating efficiency of the molten salt electric heater and improve the heating effect of the molten salt.

[0039] Based on the heating power and the temperature change rate of the molten salt, the thermal conductivity performance of the molten salt electric heater is analyzed, and heat loss correction optimization is performed.

[0040] In one embodiment, when analyzing the thermal conductivity performance of the molten salt electric heater, the system terminal mainly focuses on the two key parameters of heating power and molten salt temperature change rate. The heating power determines the amount of heat provided by the molten salt electric heater to the molten salt, while the molten salt temperature change rate directly reflects the effect of the thermal conduction of the molten salt electric heater. First, the system terminal analyzes the heating power and molten salt temperature change rate of the molten salt under different heating powers through the thermal conductivity performance evaluation model to understand the thermal conductivity efficiency of the molten salt electric heater under different powers. If the temperature change rate of the molten salt also increases accordingly when the heating power increases, and the increase ratio is reasonable, then it means that the thermal conductivity performance of the molten salt electric heater is good. On the contrary, if the temperature change rate does not increase significantly or the increase ratio is too large, it may mean that the molten salt electric heater has a problem of low thermal conductivity efficiency or large heat loss. After determining the thermal conductivity performance of the molten salt electric heater, the system terminal further analyzes the possible heat loss. The heat loss may come from the insufficient insulation performance of the molten salt electric heater, excessive heat loss, and other reasons. In order to reduce heat loss, the system terminal takes a series of optimization measures, such as strengthening the insulation performance of the molten salt electric heater, adjusting the heating power and heating time, etc. These measures are designed to ensure that the molten salt electric heater can transfer heat to the molten salt more efficiently while reducing unnecessary heat loss. By comprehensively analyzing the heating power, the temperature change rate of the molten salt, and the heat loss, the system terminal can comprehensively evaluate the thermal conductivity of the molten salt electric heater and optimize it in a targeted manner. This not only helps to improve the operating efficiency of the molten salt electric heater, but also reduces energy consumption and operating costs, providing a more stable and efficient heating solution for the production process.

[0041] Further, the present application provides the thermal conductivity performance of the molten salt electric heater, the method comprising:

[0042] Based on the empirical data, a thermal conductivity performance evaluation model is constructed; based on the molten salt to be heated, the specific heat capacity and thermal conductivity of the molten salt are calculated, and the model parameters are configured.

[0043] Optionally, when optimizing the thermal conductivity performance of the molten salt electric heater, the system terminal adopts a method based on empirical data. First, the system terminal uses the previously collected empirical data, including temperature, pressure, flow rate and other data under different heating conditions, to build a thermal conductivity performance evaluation model. This model can simulate the thermal conduction process of molten salt in the molten salt heater and predict the heating effect under different conditions. In order to more accurately evaluate the thermal conductivity performance of the molten salt heater, the system terminal also analyzes the physical properties of the molten salt itself. Therefore, the system terminal calculates its specific heat capacity and thermal conductivity according to the type of molten salt to be heated. Specific heat capacity is a physical quantity that describes the ability of a substance to absorb or release heat, while thermal conductivity reflects the ability of a substance to conduct heat. These parameters are crucial to understanding the thermal behavior of molten salt during heating. After obtaining the specific heat capacity and thermal conductivity of the molten salt, the system terminal configures these parameters into the thermal conductivity performance evaluation model. By adjusting the relevant parameters in the thermal conductivity performance evaluation model, the heating process of different molten salts under different conditions is simulated, and the thermal conductivity performance of the molten salt heater is predicted. In this way, the system terminal can optimize the design and operation parameters of the molten salt heater according to the prediction results of the thermal conduction performance evaluation model to improve the thermal conduction efficiency and heating effect of the molten salt heater.

[0044] Furthermore, the present application provides a method for performing cyclic processing in combination with the humidity monitoring data, the method comprising:

[0045] A wastewater filtration device is installed at the wastewater discharge port of the molten salt electric heater; based on the wastewater filtration device, a circulation treatment is performed, and the circulation treatment is performed in combination with the humidity monitoring data.

[0046] Optionally, during the operation of the molten salt electric heater, in order to reduce the negative impact on the environment, a wastewater filtration device is installed at the wastewater discharge port of the molten salt electric heater. The purpose of this measure is to preliminarily treat the discharged wastewater, remove impurities and pollutants therein, and ensure that the wastewater meets certain discharge standards before discharge. The installation of wastewater filtration equipment is part of environmental protection measures. It can effectively intercept and filter harmful substances such as suspended matter, grease, heavy metals, etc. in wastewater. The water quality of the filtered wastewater will be significantly improved, reducing the potential threat to the environment. In addition to the installation of wastewater filtration equipment, the system terminal also combines humidity monitoring data for circulation processing. Humidity monitoring data can reflect changes in ambient humidity, which in turn affects the treatment effect of wastewater. By monitoring humidity data, the impact of ambient humidity on the wastewater treatment process can be understood, and the operating parameters of the wastewater treatment equipment can be adjusted accordingly to ensure that the wastewater treatment effect is optimal. Circulation treatment refers to the reuse of preliminarily treated wastewater to reduce the waste of water resources. During the circulation process, the wastewater first passes through the filtration equipment to remove harmful substances, and then the treatment process is adjusted and optimized through humidity monitoring data. Finally, the treated wastewater is used for cooling the molten salt electric heater or other purposes.

[0047] In summary, the embodiments of the present application have at least the following technical effects:

[0048] The embodiment of the present application obtains the basic information of the equipment of the molten salt electric heater and the characteristics of the molten salt to be heated, and uses empirical data to preheat the heater. After the heater is started and reaches a thermal equilibrium state, the temperature, pressure and humidity changes at key positions are monitored synchronously, and relevant data are collected. Subsequently, the molten salt flow data is introduced, and the molten salt temperature change rate is calculated by changing the heating power based on the temperature monitoring data, so as to analyze the thermal conductivity performance of the heater. In order to further improve the performance, the heat loss is also analyzed and corrected and optimized. In addition, it also involves the collection of multi-source monitoring data, including temperature, pressure and humidity data, and these data are aligned to form a temperature-pressure-flow data sequence. Based on these data sequences, response time recording, dynamic response optimization and cycle setting are performed to optimize the operating efficiency of the heater. Afterwards, based on empirical data and the physical properties of molten salt, a thermal conductivity performance evaluation model is built, and the model parameters are configured to achieve accurate evaluation and optimization of the thermal conductivity performance of the molten salt electric heater. These technical effects jointly solve the technical problems of inaccurate and inefficient thermal conductivity performance detection methods of traditional molten salt electric heaters and the inability to optimize heat loss in real time, and achieve the effect of improving the efficiency and accuracy of thermal conductivity performance detection by optimizing heat loss correction.

[0049] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

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

[0051] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A method for detecting the thermal conductivity of a molten salt electric heater, characterized in that: The method comprises: Obtain basic equipment information of the molten salt electric heater, wherein the basic equipment information includes equipment model, equipment rated power, and operating temperature range; Obtaining molten salt to be heated, wherein the molten salt to be heated consists of potassium nitrate and sodium nitrate; A storage unit connected to the molten salt electric heater, acquiring experience data in combination with basic information of the device, and performing preheating settings on the molten salt electric heater according to the experience data; After receiving the start signal, the molten salt electric heater is turned on, and after reaching a thermal equilibrium state, the temperature changes at key positions are synchronously monitored to collect temperature monitoring data; Introducing molten salt flow data corresponding to the molten salt to be heated, and calculating the corresponding molten salt temperature change rate by changing the heating power of the molten salt electric heater based on the temperature monitoring data; Based on the heating power and the molten salt temperature change rate, the thermal conductivity performance of the molten salt electric heater is analyzed, and heat loss correction optimization is performed; The key positions include the inlet of the molten salt electric heater and the outlet of the molten salt electric heater; At the key position, a multi-source monitoring module is deployed to collect multi-source monitoring data, wherein the multi-source monitoring data includes temperature monitoring data, pressure monitoring data, and humidity monitoring data; Based on the multi-source monitoring data, data alignment is performed in combination with the molten salt flow data corresponding to the molten salt to be heated to obtain a temperature-pressure-flow data sequence; Based on the multi-source monitoring data, a temperature-pressure-flow data sequence is obtained, and the method further comprises: After changing the heating power of the molten salt electric heater, recording the response time and obtaining the response speed; Based on the response speed and in combination with the temperature-pressure-flow data sequence, dynamic response optimization is performed.

2. The method according to claim 1, characterized in that Based on the response speed and in combination with the temperature-pressure-flow data sequence, dynamic response optimization is performed, the method comprising: Acquire real-time control parameters of the molten salt electric heater, wherein the real-time control parameters include operating temperature, current heating power, and molten salt flow data; The distribution characteristics are extracted through the real-time control parameters, and the current heating cycle is located and parameter adjustments are performed in combination with the temperature-pressure-flow data sequence.

3. The method according to claim 2, characterized in that The method extracts distribution features through the real-time control parameters, locates the current heating cycle and adjusts parameters in combination with the temperature-pressure-flow data sequence, and includes: Extracting distribution features through the real-time control parameters to obtain core distribution features, wherein the core distribution features include temperature distribution features, pressure distribution features, and flow distribution features; Perform time domain analysis based on the temperature-pressure-flow data sequence to obtain time domain characteristic indicators; Perform frequency domain analysis based on the temperature-pressure-flow data sequence to obtain frequency domain characteristic indicators; The core distribution characteristics, the time domain characteristic index, and the frequency domain characteristic index are compared with the heating stage to set a cycle period, and the heating stage includes a temperature rise stage, a heat preservation stage, and a cooling stage.

4. The method according to claim 3, characterized in that The method comprises: Obtaining the upper limit of the stack thickness, analyzing the pressure fluctuation within a unit area in combination with the current heating power, and extracting the pressure distribution characteristics; The total amount of molten salt corresponding to the molten salt to be heated is obtained, and instantaneous flow analysis is performed in combination with the molten salt flow data to extract flow distribution characteristics.

5. The method according to claim 1, characterized in that Analyzing the thermal conductivity performance of the molten salt electric heater, the method comprises: Based on the empirical data, a thermal conductivity performance evaluation model is constructed; Based on the molten salt to be heated, the specific heat capacity and thermal conductivity of the molten salt are calculated, and model parameters are configured.

6. The method according to claim 5, characterized in that The method comprises: Installing a wastewater filtration device at the wastewater discharge port of the molten salt electric heater; Based on the wastewater filtering equipment, circulation processing is carried out, and circulation processing is carried out in combination with the humidity monitoring data.

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