An indirect electric heating safety interlock control method and device

Abstract

The present invention discloses an indirect electric heating safety interlock control method and device, which relates to the technical field of heating equipment. The method includes: conducting a heating analysis in combination with the application scenario of the heat-conducting oil furnace to determine the salt bath temperature threshold, performing an optimization of the ratio of the multi-component mixed salt bath to determine the optimal salt bath ratio scheme; charging the equipment of the heat-conducting oil furnace with salt according to the optimal salt bath ratio scheme to obtain the target heat-conducting oil furnace; performing sensing monitoring on predetermined components to obtain a real-time monitoring data set; judging the real-time monitoring data set according to a predetermined warning threshold, and based on the judgment result, performing safety control on the target heat-conducting oil furnace according to a predetermined interlock control scheme. The technical problem of low safety and stability in the operation process of the existing heat-conducting oil furnace is solved. Through real-time monitoring and intelligent interlock control, timely warning and automatic safety regulation are realized, and the technical effect of improving the safety and stability of the operation of the heat-conducting oil furnace is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of heating equipment, and particularly to an indirect electric heating safety interlock control method and device. Background Art

[0002] In the field of industrial heating, as a kind of efficient and energy-saving heating equipment, the heat-conducting oil furnace is widely used in various technological processes requiring high-temperature heating. The heat-conducting oil furnace heats the heat-conducting oil and transfers the heat energy to the material to be heated, so as to achieve the purpose of heating. However, with the expansion of industrial production scale and the improvement of process requirements, the safety and stability problems of the heat-conducting oil furnace become increasingly prominent. Most of the traditional control systems of heat-conducting oil furnaces adopt simple temperature monitoring and control means, lacking intelligent early warning and interlock protection mechanisms. Once abnormal situations occur during the operation of the heat-conducting oil furnace, such as too high temperature, abnormal pressure, etc., it is often difficult to detect and handle them in time, which may lead to safety accidents. Summary of the Invention

[0003] This application provides an indirect electric heating safety interlock control method and device, which solves the technical problem of low safety and stability during the operation of the heat-conducting oil furnace in the prior art.

[0004] In view of the above problems, this application provides an indirect electric heating safety interlock control method and device.

[0005] In the first aspect of this application, an indirect electric heating safety interlock control method is provided. The method includes:

[0006] Conduct a heating analysis in combination with the application scenario of the heat-conducting oil furnace to determine the salt bath temperature threshold. According to the salt bath temperature threshold, optimize the ratio of the multi-component mixed salt bath to determine the optimal salt bath ratio scheme. According to the optimal salt bath ratio scheme, charge the heat-conducting oil furnace with salt to obtain the target heat-conducting oil furnace. When the target heat-conducting oil furnace is working, use the multi-source sensing monitoring network to conduct sensing monitoring on the predetermined components to obtain the real-time monitoring data set. Judge the real-time monitoring data set according to the predetermined early warning threshold. Based on the judgment result, conduct safety control on the target heat-conducting oil furnace according to the predetermined interlock control scheme.

[0007] In the second aspect of this application, an indirect electric heating safety interlock control device is provided. The device includes:

[0008] An analysis module, which is used to perform heating analysis in combination with the application scenario of the heat transfer oil furnace, determine the salt bath temperature threshold, optimize the proportion of the multi-component mixed salt bath according to the salt bath temperature threshold, and determine the optimal salt bath proportioning scheme; a monitoring module, which is used to charge the equipment of the heat transfer oil furnace with salt according to the optimal salt bath proportioning scheme to obtain a target heat transfer oil furnace, and when the target heat transfer oil furnace is working, use a multi-source sensing monitoring network to perform sensing monitoring on predetermined components to obtain a real-time monitoring data set; a control module, which is used to judge the real-time monitoring data set according to a predetermined warning threshold, and based on the judgment result, perform safety control on the target heat transfer oil furnace according to a predetermined interlock control scheme.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] First, perform heating analysis in combination with the application scenario of the heat transfer oil furnace, determine the salt bath temperature threshold, optimize the proportion of the multi-component mixed salt bath according to the salt bath temperature threshold, and determine the optimal salt bath proportioning scheme. Then, charge the equipment of the heat transfer oil furnace with salt according to the optimal salt bath proportioning scheme to obtain a target heat transfer oil furnace, and when the target heat transfer oil furnace is working, use a multi-source sensing monitoring network to perform sensing monitoring on predetermined components to obtain a real-time monitoring data set. Finally, judge the real-time monitoring data set according to a predetermined warning threshold, and based on the judgment result, perform safety control on the target heat transfer oil furnace according to a predetermined interlock control scheme. This solves the technical problem of low safety and stability during the operation of the heat transfer oil furnace in the prior art. Through real-time monitoring and intelligent interlock control, timely warning and automatic safety regulation are realized, achieving the technical effect of improving the safety and stability of the operation of the heat transfer oil furnace. Description of the Drawings

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0012] Figure 1 It is a schematic flowchart of an indirect electric heating safety interlock control method provided by an embodiment of this application;

[0013] Figure 2 It is a schematic structural diagram of an indirect electric heating safety interlock control device provided by an embodiment of this application.

[0014] Explanation of the reference numerals: analysis module 11, monitoring module 12, control module 13. Detailed Embodiments

[0015] By providing an indirect electric heating safety interlock control method and device, the present application solves the technical problem of low safety and stability during the operation of a heat transfer oil furnace in the prior art.

[0016] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the scope of protection of the present application.

[0017] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products, or devices.

[0018] Embodiment 1, as Figure 1 shown, the present application provides an indirect electric heating safety interlock control method, wherein the method includes:

[0019] Conduct a heating analysis in combination with the application scenario of the heat transfer oil furnace to determine the salt bath temperature threshold, and perform the ratio optimization of the multi-component mixed salt bath according to the salt bath temperature threshold to determine the optimal salt bath ratio scheme.

[0020] The heat transfer oil furnace includes a heat storage tank, an electric heater, a salt bath, heat transfer oil, and a heat exchanger. Conduct a comprehensive heating analysis according to the specific application scenario of the heat transfer oil furnace (such as different types of heating requirements in industrial production) to determine the heat conduction requirements of the heat transfer oil furnace under different working conditions; based on the results of the heating analysis, determine a suitable salt bath temperature threshold (usually set with reference to industry standards and actual operation data), and different application scenarios may require different temperature thresholds to adapt to the corresponding heat conduction characteristics. According to the required temperature threshold, select a suitable combination of salts, such as nitrates, chlorides, or sulfates, etc., to form a multi-component mixed salt bath; according to relevant materials, set the initial ratio of the multi-component mixed salt bath, verify the heating effect, stability, and cost-effectiveness of the initial ratio through experiments, and adjust the ratio according to the experimental results to optimize the salt bath performance, and repeat the experimental verification until the optimal salt bath ratio scheme is found.

[0021] Furthermore, performing the ratio optimization of the multi-component mixed salt bath according to the salt bath temperature threshold to determine the optimal salt bath ratio scheme includes:

[0022] Set an adapted salt bath melting point according to the salt bath temperature threshold, and select an adapted salt bath type according to the adapted salt bath melting point, where the salt bath types include multi-component mixed chlorides and multi-component mixed nitrates; with the salt bath temperature threshold and the adapted salt bath melting point as the expectation, perform ratio optimization of the multi-component mixed salt bath according to the adapted salt bath type, and output the optimal salt bath ratio scheme.

[0023] Specifically, according to the determined salt bath temperature threshold, set an adapted salt bath melting point that is compatible with it to ensure that the selected salt bath operates stably within the expected working temperature range; when the adapted salt bath melting point is not less than 500 degrees Celsius, select multi-component mixed chlorides as the adapted salt bath type, and the multi-component mixed chlorides include barium chloride (BaCl2), sodium chloride (NaCl), and potassium chloride (KCl); when the adapted salt bath melting point is lower than 500 degrees Celsius, select multi-component mixed nitrates as the adapted salt bath type, and the multi-component mixed nitrates include potassium nitrate (KNO3), sodium nitrate (NaNO3), and sodium nitrite (NaNO2).

[0024] With the goal of meeting the salt bath temperature threshold and the adapted salt bath melting point, perform ratio optimization of the multi-component mixed salt bath. Specifically, use an optimization algorithm (such as a genetic algorithm or linear programming) to perform iterative solution of the salt proportions to ensure that the final ratio meets the thermodynamic requirements under the set conditions and avoid problems such as phase separation or unstable physical properties; based on the optimization results, output the optimal salt bath ratio scheme that meets the salt bath temperature threshold and the adapted melting point requirements.

[0025] Exemplarily, as shown in Table 1, for the common salt bath salt formula, the multi-component mixed salt can adjust the melting point by adjusting the proportions of different components to adapt to different heating and energy storage temperatures.

[0026] Table 1

[0027]

[0028] Furthermore, perform ratio optimization of the multi-component mixed salt bath according to the adapted salt bath type, and output the optimal salt bath ratio scheme, including:

[0029] Obtain multiple proportion thresholds for the adapted salt bath type, and randomly generate a first salt bath proportioning scheme within the multiple proportion thresholds; input the first salt bath proportioning scheme into a salt bath temperature recognizer to output a first predicted temperature threshold and a first predicted melting point, where the salt bath temperature recognizer is constructed based on the principle of ensemble learning; take the salt bath temperature threshold and the adapted salt bath melting point as a benchmark, perform a deviation calculation on the first predicted temperature threshold and the first predicted melting point to obtain a first deviation calculation result; use a scheme fitness evaluation function to determine the first scheme fitness according to the first deviation calculation result; continue to randomly select a scheme and calculate the fitness within the multiple proportion thresholds until the convergence number is satisfied, and output the salt bath proportioning scheme with the maximum fitness as the optimal salt bath proportioning scheme.

[0030] Specifically, for the selected adapted salt bath type (such as multi-component mixed chloride salts or multi-component mixed nitrates), obtain the proportion thresholds of its constituent salts; according to the obtained proportion thresholds, randomly generate an initial salt bath proportioning scheme (the first salt bath proportioning scheme), ensuring that the sum of the salt bath proportions in the proportioning scheme is 1 to meet the proportioning requirements; construct a salt bath temperature recognizer based on the principle of ensemble learning (such as random forest, gradient boosting tree, etc.), and the salt bath temperature recognizer predicts the temperature threshold and melting point of the salt bath by inputting the salt bath proportion; use the sample data with known proportions and corresponding temperature thresholds and melting points to train the salt bath temperature recognizer until the model converges, that is, the difference between the prediction result and the actual value reaches an acceptable range; input the generated first salt bath proportioning scheme into the trained salt bath temperature recognizer to output the predicted temperature threshold and melting point; take the salt bath temperature threshold and the adapted salt bath melting point as a benchmark, perform a deviation calculation on the predicted temperature threshold and melting point to obtain a first deviation calculation result; use a scheme fitness evaluation function to determine the first scheme fitness of the first salt bath proportioning scheme according to the first deviation calculation result; continue to randomly select the salt bath proportion within the multiple proportion thresholds to generate a new proportioning scheme; for each newly generated proportioning scheme, repeat the above steps of prediction, calculation, and determination of fitness; record the scheme with the highest fitness in each iteration and update the optimal scheme; set a convergence number or convergence condition (such as the fitness improvement amplitude is less than a certain threshold) to determine whether the iterative process ends; when the convergence number is reached or the convergence condition is satisfied, stop the iteration; output the salt bath proportioning scheme with the maximum fitness as the optimal scheme.

[0031] Based on the principle of ensemble learning, a salt bath temperature recognizer is constructed. When using the random forest model, specifically, a large number of sample data with known salt bath ratio schemes are collected. These samples include the ratios of different salt combinations, the actually measured temperature thresholds, and melting points; training set samples are randomly selected (using the Bootstrap sampling method, and the training samples for each tree are randomly selected with replacement); when each tree selects a splitting node, a part of the features are randomly selected to determine the optimal splitting point; the above steps are repeated until a specified number of decision trees are constructed; for the input salt bath ratio scheme, each tree of the random forest model outputs a predicted temperature threshold and a predicted melting point; the final prediction result is obtained by voting (for classification problems) or taking the average (for regression problems) of the outputs of each decision tree. Each decision tree is trained using the data in the training set so that it can output the corresponding predicted temperature threshold and melting point under a given input; according to the performance of the model, the hyperparameters such as the number of decision trees, the depth of the tree, and the minimum number of splitting samples are adjusted to optimize the model performance; after training, a salt bath temperature recognizer is obtained.

[0032] Furthermore, a construction plan fitness evaluation function is constructed, including:

[0033] ; where RTE is the plan fitness, is the temperature threshold weight, is the melting point weight, represents the coincidence degree between the predicted temperature threshold and the salt bath temperature threshold, m is the intersection of the predicted temperature threshold and the salt bath temperature threshold, M is the salt bath temperature threshold, S is the adapted salt bath melting point, and s is the predicted melting point.

[0034] Preferably, a construction plan fitness evaluation function is constructed to evaluate the effect of the generated salt bath ratio plan. Among them, RTE identifies the plan fitness and evaluates the degree to which the plan meets the requirements of the salt bath temperature threshold and melting point. is the temperature threshold weight, is the melting point weight, represents the coincidence degree between the predicted temperature threshold and the salt bath temperature threshold, m is the intersection of the predicted temperature threshold and the salt bath temperature threshold, M is the salt bath temperature threshold, S is the adapted salt bath melting point, and s is the predicted melting point. By substituting the predicted temperature threshold and melting point of the generated salt bath ratio plan into the fitness function, the RTE value of the plan is calculated. The higher the RTE value, the better the plan is in meeting the requirements of the salt bath temperature threshold and melting point adaptation. Using RTE as the evaluation criterion, different generated ratio plans are sorted and selected. In the process of multiple iterations and optimizations, the RTE values of each plan are compared to select the plan with the highest fitness as the optimal salt bath ratio plan.

[0035] According to the optimal salt bath ratio scheme, salt is filled into the heat transfer oil furnace to obtain the target heat transfer oil furnace. When the target heat transfer oil furnace is operating, a multi-source sensing monitoring network is used to perform sensing monitoring on predetermined components to obtain a real-time monitoring data set.

[0036] According to the optimal salt bath ratio scheme, salt is filled into the heat transfer oil furnace to complete the preparation of the target heat transfer oil furnace after salt filling. Exemplarily, about 16 m of a mixed salt of 50% potassium nitrate + 50% potassium nitrite is prepared. 3 ; Open the salt filling port of the heat transfer oil furnace, and start to input solid salt from the salt filling port closest to the electric heater; During the process of injecting salt, pay attention to observing the height of the salt surface; When the upper surface of the salt exceeds the upper surface of the uppermost coil by about 100 mm, turn on the electric heater to start melting the solid salt. The melting point of the molten salt is 142 °C, and when this temperature is reached, the salt gradually turns into a liquid state; When the temperature meter on the furnace body shows 150 °C, the burner can be started to continue heating the heat transfer oil furnace to ensure that the salt bath temperature reaches the set working threshold.

[0037] Arrange various types of sensors, including temperature sensors, pressure sensors, flow sensors, and liquid level sensors, on the key components of the heat transfer oil furnace (such as the heat storage tank, electric heater, salt bath, and heat transfer oil pipeline); The positions of the sensors cover each key node to obtain comprehensive data, such as the liquid level height of the heat storage tank, the working temperature of the electric heater, the melting state of the salt bath, and the flow rate of the heat transfer oil. When the target heat transfer oil furnace is operating, with the help of the multi-source sensing monitoring network, perform sensing monitoring on the heat storage tank, electric heater, salt bath, and heat transfer oil to collect a real-time monitoring data set.

[0038] Furthermore, when the target heat transfer oil furnace is operating, a multi-source sensing monitoring network is used to perform sensing monitoring on predetermined components to obtain a real-time monitoring data set, including:

[0039] The predetermined components include the heat storage tank, electric heater, salt bath, and heat transfer oil of the target heat transfer oil furnace; Configure a multi-source sensing monitoring network, wherein the multi-source sensing monitoring network at least includes an electric heating element temperature monitoring array, a heat transfer oil temperature monitoring array, a heat transfer oil pressure monitoring array, a heat transfer oil quantity monitoring array, a salt bath temperature monitoring array, a heat storage tank temperature monitoring array, and a fire monitoring sensor, where the temperature monitoring array includes several uniformly distributed temperature sensors; Use the multi-source sensing monitoring network to perform sensing monitoring on the heat storage tank, electric heater, salt bath, and heat transfer oil respectively to obtain a real-time monitoring data set.

[0040] Specifically, a multi-source sensing and monitoring network is established and configured to cover the heat-conducting oil furnace and its key components. The multi-source sensing and monitoring network at least includes an electric heating element temperature monitoring array (for monitoring the temperature of the electric heater), a heat-conducting oil temperature monitoring array (for monitoring the temperature distribution of the heat-conducting oil in different pipelines and containers), a heat-conducting oil pressure monitoring array (for real-time monitoring of the pressure of the heat-conducting oil), a heat-conducting oil quantity monitoring array (for detecting the liquid level and flow rate of the heat-conducting oil), a salt bath temperature monitoring array (for monitoring the temperature of the salt bath to ensure it remains within the working range), a heat storage tank temperature monitoring array (for monitoring the uniformity and change of the temperature inside the heat storage tank), and a fire monitoring sensor (for monitoring fire hazards around the heat-conducting oil furnace and providing additional safety protection). Among them, the temperature monitoring array is composed of several evenly distributed temperature sensors to ensure comprehensive monitoring of temperature changes in different parts.

[0041] Start the multi-source sensing and monitoring network, and use each array and sensor to collect real-time data. Each array and sensor is responsible for data collection at its specific location. The electric heating element temperature monitoring array monitors the heating state and temperature change of the electric heater in real time; the heat-conducting oil temperature monitoring array collects the temperature data of the heat-conducting oil at different pipeline nodes to ensure that the heat-conducting oil remains within the set temperature range during operation; the heat-conducting oil pressure monitoring array records the pressure of the heat-conducting oil system and detects whether there are abnormal pressure fluctuations; the heat-conducting oil quantity monitoring array ensures that the liquid level and flow rate of the heat-conducting oil are within the operating standards to prevent insufficient or excessive oil volume from affecting the equipment performance; the salt bath temperature monitoring array continuously monitors the temperature of the salt bath to ensure stable heat transfer effect of the salt bath; the heat storage tank temperature monitoring array ensures uniform heat distribution inside the heat storage tank to avoid local overheating or overcooling; the fire monitoring sensor monitors the possible fire risks in real time and provides early warnings to protect the equipment and the environment. Collect the real-time data of all sensors to form a complete real-time monitoring data set, which includes temperature, pressure, liquid level, flow rate, and fire monitoring information.

[0042] Furthermore, the heat-conducting oil furnace includes a heat storage tank, an electric heater, a salt bath, heat-conducting oil, and a heat exchanger. Among them, the electric heater is used to heat the salt bath, the salt bath is used to heat the heat-conducting oil, and the heat-conducting oil transfers heat through the heat exchanger.

[0043] When the target heat transfer oil furnace is working, start the electric heater and initially heat the salt bath through the electric heating element to heat the salt bath to its operating temperature range. The heated salt bath serves as a heat transfer medium to secondarily heat the heat transfer oil. The heat transfer oil absorbs heat through heat exchange with the high-temperature salt bath, causing its temperature to rise to the required operating temperature. The heat transfer oil heated by the salt bath flows through the heat exchanger and transfers heat to the equipment or medium that needs to be heated. In short, by adopting the indirect heating method, that is, uniformly heating the heat transfer oil through a heat medium (such as a salt bath or a low-temperature heat conductor), it can effectively avoid the direct contact between the electric heating element and the heat transfer oil, and reduce the problems of coking and cracking of the heat transfer oil caused by local high temperature.

[0044] Judge the real-time monitoring data set according to the predetermined warning threshold. Based on the judgment result, perform safety control on the target heat transfer oil furnace according to the predetermined interlock control scheme.

[0045] According to the operation standards and safety requirements of the heat transfer oil furnace, pre-set the warning thresholds for each key parameter (such as temperature, pressure, flow rate, etc.). These thresholds are defined based on historical operation data, equipment specifications, and industry safety standards. Compare the real-time monitoring data set obtained by the multi-source sensing monitoring network with the warning thresholds. Once it is detected that the data exceeds the set threshold range, it is regarded as a potential risk. After identifying an abnormal situation, perform automated response measures according to the pre-set interlock control scheme. Exemplarily, Table 2 shows the interlock control scheme.

[0046] Table 2

[0047]

[0048] Furthermore, judging the real-time monitoring data set according to the predetermined warning threshold further includes:

[0049] Select the heat transfer oil temperature data set and the salt bath temperature data set from the real-time monitoring data set; calculate the mean values of the heat transfer oil temperature data set and the salt bath temperature data set respectively to obtain the heat transfer oil temperature mean value and the salt bath temperature mean value; based on the heat transfer oil temperature mean value and the salt bath temperature mean value, perform deviation calculation on the heat transfer oil temperature data set and the salt bath temperature data set, and calculate the mean value of the deviation calculation results to obtain the heat transfer oil temperature difference coefficient and the salt bath temperature difference coefficient; if the heat transfer oil temperature difference coefficient is greater than the predetermined heat transfer oil temperature difference scalar and / or the salt bath temperature difference coefficient is greater than the predetermined salt bath oil temperature difference scalar, generate an equipment alarm signal.

[0050] Preferably, in the real-time monitoring dataset, select the heat transfer oil temperature dataset and the salt bath temperature dataset; calculate the heat transfer oil temperature dataset to obtain the average heat transfer oil temperature for evaluating the overall temperature state of the heat transfer oil; calculate the salt bath temperature dataset to obtain the average salt bath temperature for evaluating the overall temperature state of the salt bath; based on the average heat transfer oil temperature, calculate the deviation of each data point in the heat transfer oil temperature dataset from the average value to obtain the deviation value set of the heat transfer oil temperature; based on the average salt bath temperature, calculate the deviation of each data point in the salt bath temperature dataset from the average value to obtain the deviation value set of the salt bath temperature; calculate the average value of the heat transfer oil temperature deviation value set to obtain the heat transfer oil temperature difference coefficient, which characterizes the overall fluctuation degree of the heat transfer oil temperature; calculate the average value of the salt bath temperature deviation value set to obtain the salt bath temperature difference coefficient, which characterizes the overall fluctuation degree of the salt bath temperature; determine whether the heat transfer oil temperature difference coefficient is greater than the predetermined heat transfer oil temperature difference scalar. If it is greater than the scalar, it means that the heat transfer oil temperature fluctuation exceeds the safe range; determine whether the salt bath temperature difference coefficient is greater than the predetermined salt bath temperature difference scalar. If it is greater than the scalar, it means that the salt bath temperature fluctuation exceeds the safe range; if the heat transfer oil temperature difference coefficient and / or the salt bath temperature difference coefficient exceeds their respective predetermined scalars, generate an equipment alarm signal to prompt the operator to pay attention to the temperature abnormality and perform necessary inspections or adjustments.

[0051] In summary, the embodiments of the present application have at least the following technical effects:

[0052] First, conduct a heating analysis in combination with the application scenario of the heat transfer oil furnace to determine the salt bath temperature threshold. According to the salt bath temperature threshold, perform the ratio optimization of the multi-component mixed salt bath to determine the optimal salt bath ratio scheme. Then, according to the optimal salt bath ratio scheme, fill the heat transfer oil furnace with salt to obtain the target heat transfer oil furnace. When the target heat transfer oil furnace is working, use the multi-source sensing monitoring network to perform sensing monitoring on the predetermined components to obtain the real-time monitoring dataset. Finally, judge the real-time monitoring dataset according to the predetermined warning threshold. Based on the judgment result, perform safety control on the target heat transfer oil furnace according to the predetermined interlock control scheme. This solves the technical problem of low safety and stability during the operation of the heat transfer oil furnace in the prior art. Through real-time monitoring and intelligent interlock control, timely warning and automatic safety regulation are realized, achieving the technical effect of improving the safety and stability of the operation of the heat transfer oil furnace.

[0053] Embodiment 2, based on the same inventive concept as the indirect electric heating safety interlock control method in the foregoing embodiment, as Figure 2 shown, the present application provides an indirect electric heating safety interlock control device, wherein the device includes:

[0054] Analysis module 11, which is used to conduct heat supply analysis in combination with the application scenario of the heat transfer oil furnace, determine the salt bath temperature threshold, perform optimization of the proportion of the multi-component mixed salt bath according to the salt bath temperature threshold, and determine the optimal salt bath proportioning scheme; Monitoring module 12, which is used to charge the equipment of the heat transfer oil furnace with salt according to the optimal salt bath proportioning scheme to obtain the target heat transfer oil furnace, and when the target heat transfer oil furnace is working, use the multi-source sensing monitoring network to conduct sensing monitoring on the predetermined components to obtain the real-time monitoring data set; Control module 13, which is used to judge the real-time monitoring data set according to the predetermined warning threshold, and based on the judgment result, conduct safety control on the target heat transfer oil furnace according to the predetermined interlock control scheme.

[0055] Further, the analysis module 11 is used to execute the following method:

[0056] The heat transfer oil furnace includes a heat storage tank, an electric heater, a salt bath, heat transfer oil, and a heat exchanger. Among them, the electric heater is used to heat the salt bath, the salt bath is used to heat the heat transfer oil, and the heat transfer oil conducts heat transfer through the heat exchanger.

[0057] Further, the analysis module 11 is used to execute the following method:

[0058] Set the adapted salt bath melting point according to the salt bath temperature threshold, and select the adapted salt bath type according to the adapted salt bath melting point. Among them, the salt bath types include multi-component mixed chlorides and multi-component mixed nitrates; with the expectation of meeting the salt bath temperature threshold and the adapted salt bath melting point, perform optimization of the proportion of the multi-component mixed salt bath according to the adapted salt bath type, and output the optimal salt bath proportioning scheme.

[0059] Further, the analysis module 11 is used to execute the following method:

[0060] Obtain multiple proportion thresholds of the adapted salt bath type, and randomly generate a first salt bath proportioning scheme within the multiple proportion thresholds; input the first salt bath proportioning scheme into the salt bath temperature identifier, and output the first predicted temperature threshold and the first predicted melting point, where the salt bath temperature identifier is constructed based on the principle of ensemble learning; based on the salt bath temperature threshold and the adapted salt bath melting point, conduct deviation calculation on the first predicted temperature threshold and the first predicted melting point to obtain the first deviation calculation result; use the scheme fitness evaluation function to determine the first scheme fitness according to the first deviation calculation result; continue to randomly select schemes and calculate fitness within the multiple proportion thresholds until the convergence times are met, and output the salt bath proportioning scheme with the maximum fitness as the optimal salt bath proportioning scheme.

[0061] Further, the analysis module 11 is used to execute the following method:

[0062] Construct a scheme fitness evaluation function, including: ; where RTE is the solution fitness, is the temperature threshold weight, is the melting point weight, represents the coincidence degree between the predicted temperature threshold and the salt bath temperature threshold, m is the intersection of the predicted temperature threshold and the salt bath temperature threshold, M is the salt bath temperature threshold, S is the adapted salt bath melting point, and s is the predicted melting point.

[0063] Further, the monitoring module 12 is used to execute the following method:

[0064] The predetermined components include the heat storage tank, electric heater, salt bath, and heat transfer oil of the target heat transfer oil furnace; configure a multi-source sensing monitoring network, where the multi-source sensing monitoring network at least includes an electric heating element temperature monitoring array, a heat transfer oil temperature monitoring array, a heat transfer oil pressure monitoring array, a heat transfer oil volume monitoring array, a salt bath temperature monitoring array, a heat storage tank temperature monitoring array, and a fire monitoring sensor, where the temperature monitoring array includes several uniformly distributed temperature sensors; use the multi-source sensing monitoring network to respectively perform sensing monitoring on the heat storage tank, electric heater, salt bath, and heat transfer oil to obtain a real-time monitoring data set.

[0065] Further, the control module 13 is used to execute the following method:

[0066] Select the heat transfer oil temperature data set and the salt bath temperature data set from the real-time monitoring data set; respectively calculate the mean values of the heat transfer oil temperature data set and the salt bath temperature data set to obtain the heat transfer oil temperature mean value and the salt bath temperature mean value; based on the heat transfer oil temperature mean value and the salt bath temperature mean value, perform deviation calculation on the heat transfer oil temperature data set and the salt bath temperature data set, and calculate the mean value of the deviation calculation results to obtain the heat transfer oil temperature difference coefficient and the salt bath temperature difference coefficient; if the heat transfer oil temperature difference coefficient is greater than the predetermined heat transfer oil temperature difference scalar and / or the salt bath temperature difference coefficient is greater than the predetermined salt bath oil temperature difference scalar, generate an equipment alarm signal.

[0067] It should be noted that the above sequence of the embodiments of the present application is only for description and does not represent the advantages or disadvantages of the embodiments. And the above describes specific embodiments of this specification. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0068] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included within the protection scope of the present application.

[0069] This specification and the accompanying drawings are merely illustrative of the present application and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications 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 equivalent technologies, the present application is intended to include these changes and modifications therein.

Claims

1. An indirect electric heating safety interlock control method, characterized in that the method Including: Conduct a heating analysis in combination with the application scenario of the heat-conducting oil furnace to determine the salt bath temperature threshold, optimize the ratio of the multi-component mixed salt bath according to the salt bath temperature threshold, and determine the optimal salt bath ratio scheme; According to the optimal salt bath ratio scheme, fill the heat-conducting oil furnace with salt to obtain the target heat-conducting oil furnace. When the target heat-conducting oil furnace is working, use a multi-source sensing monitoring network to conduct sensing monitoring on predetermined components and obtain a real-time monitoring data set; Judge the real-time monitoring data set according to a predetermined warning threshold, and based on the judgment result, conduct safety control on the target heat-conducting oil furnace according to a predetermined interlock control scheme; Among them, optimizing the ratio of the multi-component mixed salt bath according to the salt bath temperature threshold to determine the optimal salt bath ratio scheme includes: Set an adapted salt bath melting point according to the salt bath temperature threshold, and select an adapted salt bath type according to the adapted salt bath melting point, where the salt bath type includes multi-component mixed chlorides and multi-component mixed nitrates; With the expectation of meeting the salt bath temperature threshold and the adapted salt bath melting point, perform ratio optimization of the multi-component mixed salt bath according to the adapted salt bath type, and output the optimal salt bath ratio scheme; Among them, performing ratio optimization of the multi-component mixed salt bath according to the adapted salt bath type and outputting the optimal salt bath ratio scheme includes: Obtain multiple proportion thresholds of the adapted salt bath type, and randomly generate a first salt bath ratio scheme within the multiple proportion thresholds; Input the first salt bath ratio scheme into a salt bath temperature identifier to output a first predicted temperature threshold and a first predicted melting point, where the salt bath temperature identifier is constructed based on the principle of ensemble learning; Based on the salt bath temperature threshold and the adapted salt bath melting point, perform deviation calculation on the first predicted temperature threshold and the first predicted melting point to obtain a first deviation calculation result; Use a scheme fitness evaluation function to determine the first scheme fitness according to the first deviation calculation result; Continue to randomly select schemes and calculate fitness within the multiple proportion thresholds until the convergence number is met, and output the salt bath ratio scheme with the maximum fitness as the optimal salt bath ratio scheme; Among them, constructing a scheme fitness evaluation function includes: ； where RTE is the solution fitness, is the temperature threshold weight, is the melting point weight, represents the coincidence degree between the predicted temperature threshold and the salt bath temperature threshold, m is the intersection of the predicted temperature threshold and the salt bath temperature threshold, M is the salt bath temperature threshold, S is the adapted salt bath melting point, and s is the predicted melting point.

2. The indirect electric heating safety interlock control method according to claim 1, wherein The heat-conducting oil furnace includes a heat storage tank, an electric heater, a salt bath, heat-conducting oil, and a heat exchanger. Among them, the electric heater is used to heat the salt bath, the salt bath is used to heat the heat-conducting oil, and the heat-conducting oil conducts heat transfer through the heat exchanger.

3. An indirect electric heating safety interlock control method according to claim 1, characterized in that, When the target heat-conducting oil furnace is working, using a multi-source sensing monitoring network to conduct sensing monitoring on predetermined components and obtain a real-time monitoring data set includes: The predetermined components include the heat storage tank, electric heater, salt bath, and heat-conducting oil of the target heat-conducting oil furnace; Configure a multi-source sensing monitoring network, where the multi-source sensing monitoring network at least includes an electric heating element temperature monitoring array, a heat-conducting oil temperature monitoring array, a heat-conducting oil pressure monitoring array, a heat-conducting oil quantity monitoring array, a salt bath temperature monitoring array, a heat storage tank temperature monitoring array, and a fire monitoring sensor, where the temperature monitoring array includes several evenly distributed temperature sensors; Use the multi-source sensing monitoring network to conduct sensing monitoring on the heat storage tank, electric heater, salt bath, and heat-conducting oil respectively to obtain a real-time monitoring data set.

4. An indirect electric heating safety interlock control method according to claim 3, characterized in that, Judging the real-time monitoring data set according to a predetermined warning threshold further includes: Selecting a heat transfer oil temperature data set and a salt bath temperature data set from the real-time monitoring data set; Calculating the mean values of the heat transfer oil temperature data set and the salt bath temperature data set respectively to obtain the heat transfer oil temperature mean value and the salt bath temperature mean value; Taking the heat transfer oil temperature mean value and the salt bath temperature mean value as a reference, calculating the deviation of the heat transfer oil temperature data set and the salt bath temperature data set, and calculating the mean value of the deviation calculation results to obtain the heat transfer oil temperature difference coefficient and the salt bath temperature difference coefficient; If the heat transfer oil temperature difference coefficient is greater than a predetermined heat transfer oil temperature difference scalar and / or the salt bath temperature difference coefficient is greater than a predetermined salt bath oil temperature difference scalar, an equipment alarm signal is generated.

5. An indirect electric heating safety interlock control device, characterized in that For implementing an indirect electro-heating safety interlock control method according to any one of claims 1 to 4, including: An analysis module, which is used to perform heat supply analysis in combination with the application scenario of the heat transfer oil furnace, determine the salt bath temperature threshold, and perform the ratio optimization of the multi-component mixed salt bath according to the salt bath temperature threshold to determine the optimal salt bath ratio scheme; A monitoring module, which is used to fill the heat transfer oil furnace with salt according to the optimal salt bath ratio scheme to obtain a target heat transfer oil furnace, and when the target heat transfer oil furnace is working, use a multi-source sensing monitoring network to perform sensing monitoring on predetermined components to obtain a real-time monitoring data set; A control module, which is used to judge the real-time monitoring data set according to a predetermined warning threshold, and based on the judgment result, perform safety control on the target heat transfer oil furnace according to a predetermined interlock control scheme.

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