A method for controlling low energy consumption in a microcrystalline furnace
By performing startup initialization and data acquisition and analysis of the microcrystalline furnace, combined with energy consumption impact analysis, the accuracy and efficiency of energy consumption control of the microcrystalline furnace were achieved, solving the problem of inaccurate energy consumption control in existing technologies.
Patent Information
- Application Number
- CN202510161240.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-13
- Publication Date
- 2025-10-31
- Estimated Expiration
- 2045-02-13
AI Technical Summary
Existing microcrystal furnaces cannot perform startup initialization control, cannot perform fluctuation analysis on initialization data, cannot accurately regulate energy consumption, and cannot make real-time decision adjustments based on energy consumption impacts.
By initiating initialization detection, parameters are initialized based on the burner head, fire level, and glass temperature resistance values. Data is collected for energy consumption prediction and analysis, and parameter adjustment is performed in conjunction with energy consumption impact analysis to ensure the accuracy of energy consumption control.
It has improved the accuracy and efficiency of energy consumption control in microcrystalline furnaces, reduced energy consumption detection errors, reduced unnecessary energy consumption, and improved the accuracy of energy consumption control.
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Figure CN119983335B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of low-energy control technology, specifically to a low-energy control method for a microcrystalline furnace. Background Technology
[0002] A microcrystalline oven is a kitchen appliance that uses radiant heat emitted by an electric heating element to act on cookware through microcrystalline glass to cook food. With the development of technology, how to improve the energy efficiency of microcrystalline ovens while completing food cooking is a direction that many manufacturers are researching and exploring. There are many ways to improve it, such as changing the heating method, adjusting the structure of the heating plate, and adding external structures to reduce the heat radiated outward by the heating plate, so as to shorten the heating time of food and thus reduce cooking time.
[0003] However, in the existing technology, it is impossible to perform startup initialization control when controlling the energy consumption of the microcrystalline furnace, and it is impossible to perform fluctuation analysis on the initialization data, so it is impossible to accurately regulate energy consumption. In addition, it is impossible to combine energy consumption impact analysis to make decision adjustments for real-time energy consumption regulation.
[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention
[0005] The purpose of this invention is to solve the problems mentioned above by proposing a low-energy consumption control method for microcrystalline furnaces.
[0006] The objective of this invention can be achieved through the following technical solutions:
[0007] A method for controlling low energy consumption in a microcrystalline furnace, the process of which is as follows:
[0008] Initiate initialization by initializing the rapid heating time, limiting temperature, recovery temperature, and holding temperature according to the selected furnace head, set fire level, and temperature resistance value of the microcrystalline furnace glass. Then, perform initialization testing on the parameters according to the microcrystalline furnace control. After passing the test, the microcrystalline furnace can be put into use.
[0009] Data parameter fluctuation acquisition and analysis: After the microcrystal furnace is put into use, data is collected on the initial setting parameters, and the energy consumption prediction analysis of the microcrystal furnace operation is performed based on the collected data.
[0010] Energy consumption impact analysis: During the energy consumption detection process of the microcrystalline furnace, an impact analysis is conducted on the energy consumption of the microcrystalline furnace, taking into account the fluctuation of the microcrystalline furnace setting parameters.
[0011] In a preferred embodiment of the present invention, the initialization process is as follows:
[0012] The system obtains the fluctuation frequency of the peak internal temperature of the cooking pot when heating with the current burner power, and also obtains the amount by which the rapid heating time supplied with the current burner power exceeds the average cooking time of the cooking pot. If the fluctuation frequency of the peak internal temperature of the cooking pot when heating with the current burner power exceeds the peak fluctuation frequency threshold, or if the amount by which the rapid heating time supplied with the current burner power exceeds the average cooking time of the cooking pot exceeds the time excess threshold, then the parameters are adjusted.
[0013] If the fluctuation frequency of the peak internal temperature of the cooking pot when the current burner heats up does not exceed the peak fluctuation frequency threshold, and the difference between the rapid heating time supplied when the current burner heats up and the average cooking time of the cooking pot does not exceed the time difference threshold, then the corresponding parameter value is set to the initial value of the corresponding parameter.
[0014] In a preferred embodiment of the present invention, based on the initial value of the furnace head firepower, an experiment is conducted with the current load circuit to collect aging effect data and constant temperature effect data. If the aging effect data exceeds the aging rate increase span threshold, the temperature deviation between the current recovery temperature and the limiting temperature needs to be lowered. If the constant temperature effect data does not exceed the constant duration decrease span threshold, the temperature deviation between the current recovery temperature and the limiting temperature needs to be raised. If the aging effect data does not exceed the aging rate increase span threshold and the constant temperature effect data exceeds the constant duration decrease span threshold, the temperature deviation between the current recovery temperature and the limiting temperature is set as the initial data.
[0015] As a preferred embodiment of the present invention, the data parameter floating acquisition and analysis process is as follows:
[0016] The rapid heating time, limiting temperature, recovery temperature, and holding temperature are uniformly marked as initialization parameters. Floating trend data and floating impact data are collected. The floating trend data and floating impact data are respectively the maximum overlap time between the high consumption trend floating period of the initialization parameters and the period of increased energy consumption of the microcrystalline furnace during the microcrystalline furnace's commissioning phase, and the total increase span of the time when the actual energy consumption of the microcrystalline furnace exceeds the preset energy consumption under the floating proportion of the high consumption trend and low consumption trend of the initialization parameters during the microcrystalline furnace's commissioning phase.
[0017] In a preferred embodiment of the present invention, if the floating trend data exceeds the maximum overlap duration threshold, or the floating influence data exceeds the total increase rate threshold, the initialization parameters of the microcrystal furnace are adjusted; if the floating trend data does not exceed the maximum overlap duration threshold, and the floating influence data does not exceed the total increase rate threshold, the initialization parameters of the microcrystal furnace are continuously monitored.
[0018] As a preferred embodiment of the present invention, the energy consumption impact analysis process is as follows:
[0019] When the energy consumption monitoring of the microcrystalline furnace is abnormal, an impact analysis is performed on the initialization parameter adjustment, and adjustment effect information and adjustment impact information are collected. If the adjustment effect information exceeds the span value ratio threshold, or the adjustment impact information exceeds the cycle shortening span threshold, then the energy consumption of the microcrystalline furnace is inspected. If the adjustment effect information does not exceed the span value ratio threshold, and the adjustment impact information does not exceed the cycle shortening span threshold, then the initialization parameters of the microcrystalline furnace are adjusted.
[0020] In a preferred embodiment of the present invention, the control effect information and the control impact information are respectively the maximum overlap time between the high consumption trend fluctuation period of the initial parameters and the period of increased energy consumption of the microcrystalline furnace during the microcrystalline furnace's commissioning stage, and the total increase span of the actual energy consumption of the microcrystalline furnace exceeding the preset energy consumption under the fluctuation of the proportion of the high consumption trend and low consumption trend of the initial parameters during the microcrystalline furnace's commissioning stage.
[0021] Compared with the prior art, the beneficial effects of the present invention are:
[0022] 1. In this invention, the parameters of the microcrystal furnace are initialized and tested according to the control parameters, and the microcrystal furnace is put into use after the test is qualified; the microcrystal furnace is controlled by data initialization to ensure that the actual energy consumption of the microcrystal furnace is consistent with the set energy consumption when it is put into use, which facilitates the energy consumption control of the microcrystal furnace and reduces the workload of energy consumption control in the later use process; it also avoids the detection error when the energy consumption of the microcrystal furnace is detected, which would lead to inaccurate energy consumption detection.
[0023] 2. In this invention, energy consumption prediction analysis of the microcrystalline furnace is performed based on the collected data. Energy consumption prediction is conducted by detecting the fluctuation of the microcrystalline furnace's set parameters, effectively monitoring the energy consumption fluctuation state of the microcrystalline furnace, and timely adjusting the parameters to reduce unnecessary energy consumption. During the energy consumption detection process of the microcrystalline furnace, the impact analysis of the energy consumption of the microcrystalline furnace is performed, combined with the energy consumption impact analysis of the fluctuation of the microcrystalline furnace's set parameters. The impact analysis of the energy consumption fluctuation trend is conducted through parameter adjustment, and it is detected whether the current energy consumption control efficiency of the microcrystalline furnace meets the actual control requirements, thereby improving the accuracy of energy consumption control of the microcrystalline furnace. Attached Figure Description
[0024] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.
[0025] Figure 1 This is a flowchart illustrating the overall method of the present invention;
[0026] Figure 2 This is a flowchart of the method for initiating the initialization of this invention. Detailed Implementation
[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0028] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0029] Please see Figure 1 As shown, a low-energy consumption control method for a microcrystalline furnace is described, and the specific energy consumption control process is as follows:
[0030] Startup initialization, such as Figure 2 As shown, the rapid heating time, limiting temperature, recovery temperature, and holding temperature are initialized based on the selected burner head, set heat level, and temperature resistance value of the microcrystalline furnace glass. The parameters are then initialized and tested according to the microcrystalline furnace control system. Once the test is passed, the microcrystalline furnace is put into use. This data initialization enables performance control of the microcrystalline furnace, ensuring that the actual energy consumption matches the set energy consumption when put into use. This facilitates energy consumption control and reduces the workload of energy consumption control during later use. It also avoids detection errors during energy consumption testing, preventing inaccurate energy consumption measurements.
[0031] Data parameter fluctuation acquisition and analysis: After the microcrystal furnace is put into use, data is collected on the initial setting parameters, and the energy consumption prediction analysis of the microcrystal furnace operation is performed based on the collected data. Energy consumption prediction is performed by detecting the fluctuation of the microcrystal furnace setting parameters, effectively monitoring the energy consumption fluctuation status of the microcrystal furnace, and timely parameter adjustment to reduce unnecessary energy consumption.
[0032] Energy consumption impact analysis: During the energy consumption detection process of the microcrystalline furnace, the energy consumption of the microcrystalline furnace is analyzed. The energy consumption impact analysis is combined with the fluctuation of the microcrystalline furnace setting parameters. The impact analysis of the energy consumption fluctuation trend is carried out through parameter adjustment. The analysis is conducted to detect whether the current energy consumption control efficiency of the microcrystalline furnace meets the actual control requirements, thereby improving the accuracy of energy consumption control of the microcrystalline furnace.
[0033] The startup initialization process is as follows:
[0034] The higher the heat output of the selected burner head, the shorter the rapid heating time. The control board program needs to match the burner head heat output with the rapid heating time based on the actual cooking effect and the impact on the overall temperature rise of the machine. If it is necessary to reduce the overall temperature rise while achieving the desired cooking effect, the rapid heating time should be appropriately reduced when the burner head heat output is increased, and vice versa.
[0035] The system obtains the fluctuation frequency of the peak internal temperature of the cooking pot when heating with the current burner power, and also obtains the difference between the rapid heating time supplied with the current burner power and the average cooking time of the cooking pot. The system then compares the fluctuation frequency of the peak internal temperature of the cooking pot when heating with the current burner power, and the difference between the rapid heating time supplied with the current burner power and the average cooking time of the cooking pot, with the peak fluctuation frequency threshold and the time difference threshold, respectively.
[0036] If the fluctuation frequency of the peak internal temperature of the cooking pot when the current burner heats up exceeds the peak fluctuation frequency threshold, or if the difference between the rapid heating time supplied when the current burner heats up and the average cooking time exceeds the time difference threshold, it is inferred that the current burner heat and the corresponding rapid heating time need to be adjusted, and the parameters should be adjusted accordingly.
[0037] If the fluctuation frequency of the peak internal temperature of the cooking pot when the current burner heats up does not exceed the peak fluctuation frequency threshold, and the difference between the rapid heating time supplied when the current burner heats up and the average cooking time does not exceed the time difference threshold, then it is inferred that the current burner heat and the corresponding rapid heating time do not need to be adjusted, and the corresponding parameter values are set to the initial values of the corresponding parameters.
[0038] The selection of the limiting temperature and recovery temperature needs to be based on the temperature resistance value of the microcrystalline glass and the impact of the heating plate operation of the burner on the overall temperature rise of the machine. The limiting temperature must not exceed the temperature resistance of the microcrystalline glass, and the overall temperature rise should not be excessive or the microcrystalline glass should not overheat and crack due to an excessively high limiting temperature. In addition, the recovery temperature must be lower than the limiting temperature. The difference between the two temperatures should not be too small or too large. If it is too small, it will cause the drive load circuit to switch frequently, accelerating the aging of the load circuit components. If it is too large, it will cause poor temperature stability of the food in the cookware, affecting the cooking effect. The specific difference depends on the heat output of the burner and needs to be determined through actual testing.
[0039] Based on the initial values of the burner's heat output, experiments were conducted using the current load circuit. The experiment yielded the increase in the wear and aging rate of internal components in the load circuit when the temperature deviation between the current recovery temperature and the limiting temperature increased. Simultaneously, the experiment yielded the decrease in the duration of constant heating temperature inside the cooking pot when the temperature deviation between the current recovery temperature and the limiting temperature decreased. These figures were labeled as aging effect data and constant temperature effect data, respectively, and compared with thresholds for the increase in aging rate and the decrease in constant heating time.
[0040] If the wear and aging rate of the internal components of the load circuit increases beyond the threshold of the aging rate increase range when the temperature deviation between the current recovery temperature and the limit temperature increases during the experiment, then the temperature deviation between the current recovery temperature and the limit temperature needs to be reduced.
[0041] If the temperature deviation between the current recovery temperature and the limit temperature decreases, and the decrease span of the constant heating time inside the cooking pot does not exceed the constant time decrease span threshold, then the temperature deviation between the current recovery temperature and the limit temperature needs to be adjusted upwards.
[0042] If, during the experiment, the increase in the wear and aging rate of the internal components of the load circuit does not exceed the threshold for the increase in the aging rate when the temperature deviation between the current recovery temperature and the limit temperature increases, and the decrease in the duration of the constant heating temperature inside the cooking pot exceeds the threshold for the decrease in the constant duration when the temperature deviation between the current recovery temperature and the limit temperature decreases, then the temperature deviation between the current recovery temperature and the limit temperature is set as the initial data.
[0043] The heat preservation temperature Ti, also known as the constant temperature control temperature, is set after rapid heating. When the heating plate of the stove reduces its output power or the working time of the heating plate per unit time, it is necessary to maintain the center temperature of the heating plate at a certain value to ensure the cooking effect. Therefore, the heat preservation temperature Ti is set as a condition for judging the power output to keep the food in the pot at a certain temperature and ensure the cooking effect.
[0044] The data parameter fluctuation acquisition and analysis process is as follows:
[0045] The rapid heating time, limiting temperature, recovery temperature, and holding temperature are uniformly marked as initialization parameters. The maximum overlap time between the high consumption trend of the initialization parameters and the period of increased energy consumption of the microcrystal furnace during the period of microcrystal furnace commissioning is obtained. The maximum overlap time between the high consumption trend of the initialization parameters and the period of increased energy consumption of the microcrystal furnace during the period of microcrystal furnace commissioning is marked as the floating trend data. The high consumption trend means that the value of the parameter within the initialization parameters fluctuates with the trend of increasing energy consumption. For example, if the rapid heating time decreases, the energy consumption increases. If the holding temperature increases, the energy consumption also increases.
[0046] The total increase span of the actual energy consumption of the microcrystal furnace exceeding the preset energy consumption under the fluctuating proportion of the high and low consumption trends of the initialization parameters during the microcrystal furnace's commissioning phase is obtained, and the total increase span of the actual energy consumption of the microcrystal furnace exceeding the preset energy consumption under the fluctuating proportion of the high and low consumption trends of the initialization parameters during the microcrystal furnace's commissioning phase is marked as floating impact data.
[0047] Furthermore, the floating trend data and floating impact data are compared with the maximum overlap duration threshold and the total increase rate threshold at each time point, respectively:
[0048] If the floating trend data exceeds the maximum overlap duration threshold, or the floating impact data exceeds the total increase rate threshold at any given time, it is inferred that the fluctuation of parameters within the current initialization parameters has an energy consumption impact. The initialization parameters of the microcrystalline furnace are then adjusted to control the fluctuation of each parameter within the corresponding initialization parameters without affecting the use of the cookware.
[0049] If the floating trend data does not exceed the maximum overlap duration threshold and the floating impact data does not exceed the total increase rate threshold at any given time, it is inferred that the fluctuation of the parameters within the current initialization parameters does not have an energy consumption impact, and the initialization parameters of the microcrystal furnace are continuously monitored.
[0050] The energy consumption impact analysis process is as follows:
[0051] When the energy consumption monitoring of the microcrystalline furnace is abnormal, an impact analysis is performed on the adjustment of the initialization parameters. The ratio of the increase span of the peak energy consumption excess of the microcrystalline furnace after the adjustment of the initialization parameters to the decrease span of the continuous occurrence duration of the peak energy consumption excess is obtained. The ratio is the numerical ratio of the corresponding two data points, considering only the impact of numerical fluctuations and not the units of the data. The ratio of the increase span of the peak energy consumption excess of the microcrystalline furnace after the adjustment of the initialization parameters to the decrease span of the continuous occurrence duration of the peak energy consumption excess is marked as the adjustment effect information.
[0052] The shortening span of the constant energy consumption period after the energy consumption of the microcrystal furnace is normalized during the initialization parameter control phase is obtained, and the shortening span of the constant energy consumption period after the energy consumption of the microcrystal furnace is normalized during the initialization parameter control phase is marked as control impact information. The normalization of energy consumption of the microcrystal furnace is indicated as abnormal energy consumption of the microcrystal furnace and recovery to the original set energy consumption after the initialization parameter control is performed.
[0053] The information on the regulation effect and the information on the regulation impact are compared with the threshold for the span ratio and the threshold for the period shortening span, respectively:
[0054] If the control effect information exceeds the span value ratio threshold, or the control impact information exceeds the period shortening span threshold, it is inferred that the energy consumption impact of the initial parameter control is low, and the energy consumption of the microcrystal furnace is inspected, specifically the equipment component wear inspection, etc.
[0055] If the information on the effect of regulation does not exceed the threshold of the span value ratio, and the information on the impact of regulation does not exceed the threshold of the period shortening span, it is inferred that the energy consumption impact of the initialization parameter regulation is high, and the initialization parameters of the microcrystal furnace continue to be regulated.
[0056] The initialization process of the microcrystalline furnace involves several steps, including rapid heating and temperature limit protection. The heating element of the furnace head operates continuously at the set power level for the initial rapid heating time. If the center temperature of the heating element exceeds the limit temperature, the heating element stops outputting power until the center temperature drops below the recovery temperature. At this point, the heating element restarts and operates at the initially set power level. This cycle repeats thereafter.
[0057] Thermostatic Control: After rapid heating is complete, the power output of the heating plate on the burner head is appropriately reduced, or the working time of the heating plate is reduced per unit time. When the center temperature of the heating plate first falls below the heat preservation temperature, the system enters the thermostatic control mode. Subsequently, when the center temperature of the heating plate falls below the heat preservation temperature, the output power of the heating plate is appropriately increased, or the working time of the heating plate is increased per unit time. When the center temperature of the heating plate rises again and exceeds the heat preservation temperature, the output power of the heating plate is appropriately reduced, or the working time of the heating plate is reduced per unit time to cool the heating plate down. This mode is then used to maintain a constant temperature in the heating plate, thereby ensuring even temperature of the food inside the cookware and achieving the desired cooking effect.
[0058] When using this invention, the initialization process involves setting the rapid heating time, limiting temperature, recovery temperature, and holding temperature based on the selected furnace head, set heat level, and temperature resistance value of the microcrystalline furnace glass. The parameters are then initialized and tested according to the microcrystalline furnace control system. Once the initialization is successful, the microcrystalline furnace is put into use. Next, data parameter fluctuation analysis is performed. After the microcrystalline furnace is put into use, data on the initialization parameters is collected, and the energy consumption prediction analysis is conducted based on the collected data. Finally, energy consumption impact analysis is performed during the energy consumption detection process, considering the fluctuations in the microcrystalline furnace's set parameters.
[0059] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims
1. A method for controlling low energy consumption in a microcrystalline furnace, characterized in that, The energy consumption control method process is as follows: Initiate initialization by performing rapid heating time, limiting temperature, recovery temperature, and holding temperature initialization based on the selected furnace head, set fire level, and temperature resistance value of the microcrystalline furnace glass. Perform initialization testing on the parameters according to the microcrystalline furnace control, and put the microcrystalline furnace into use after passing the test. Data parameter fluctuation acquisition and analysis: After the microcrystalline furnace is put into use, data is collected on the initial setting parameters, and the energy consumption prediction analysis of the microcrystalline furnace operation is performed based on the collected data; the data parameter fluctuation acquisition and analysis process is as follows: The rapid heating time, limiting temperature, recovery temperature, and holding temperature are uniformly marked as initialization parameters. Floating trend data and floating impact data are collected. The floating trend data and floating impact data are respectively the maximum overlap time between the high consumption trend floating period of the initialization parameters and the period of increased energy consumption of the microcrystalline furnace during the microcrystalline furnace's commissioning phase, and the total increase span of the time when the actual energy consumption of the microcrystalline furnace exceeds the preset energy consumption under the floating proportion of the high consumption trend and low consumption trend of the initialization parameters during the microcrystalline furnace's commissioning phase. Energy consumption impact analysis: During the energy consumption monitoring of the microcrystalline furnace, an impact analysis is performed on the energy consumption of the microcrystalline furnace, taking into account the fluctuation of the microcrystalline furnace's set parameters. When the energy consumption monitoring of the microcrystalline furnace is abnormal, an impact analysis is performed on the initial parameter adjustment, collecting adjustment effect information and adjustment impact information. If the adjustment effect information exceeds the span value ratio threshold, or the adjustment impact information exceeds the cycle shortening span threshold, then the energy consumption of the microcrystalline furnace is inspected and repaired. If the control effect information does not exceed the span value ratio threshold, and the control impact information does not exceed the period shortening span threshold, then continue to control the initialization parameters of the microcrystal furnace; The information on the control effect and the information on the control impact are respectively the ratio of the increase in the peak value of excess energy consumption of the microcrystalline furnace after the initial parameter control of the microcrystalline furnace to the decrease in the range of the continuous occurrence of the peak value of excess energy consumption, and the shortening of the range of the constant energy consumption period after the energy consumption of the microcrystalline furnace is normalized during the initial parameter control stage.
2. The low-energy consumption control method for a microcrystalline furnace according to claim 1, characterized in that, The startup initialization process is as follows: The system obtains the fluctuation frequency of the peak internal temperature of the cooking pot when heating with the current burner power, and also obtains the amount by which the rapid heating time supplied with the current burner power exceeds the average cooking time of the cooking pot. If the fluctuation frequency of the peak internal temperature of the cooking pot when heating with the current burner power exceeds the peak fluctuation frequency threshold, or if the amount by which the rapid heating time supplied with the current burner power exceeds the average cooking time of the cooking pot exceeds the time excess threshold, then the parameters are adjusted. If the fluctuation frequency of the peak internal temperature of the cooking pot when the current burner heats up does not exceed the peak fluctuation frequency threshold, and the difference between the rapid heating time supplied when the current burner heats up and the average cooking time of the cooking pot does not exceed the time difference threshold, then the corresponding parameter value is set to the initial value of the corresponding parameter.
3. The low-energy consumption control method for a microcrystalline furnace according to claim 2, characterized in that, Based on the initial value of the furnace firepower, experiments are conducted with the current load circuit to collect aging effect data and constant temperature effect data. If the aging effect data exceeds the threshold of the aging rate increase span, the temperature deviation between the current recovery temperature and the limit temperature needs to be reduced. If the data on the effects of constant temperature do not exceed the threshold for the decrease span over a constant duration, then the temperature deviation between the current recovery temperature and the limiting temperature needs to be adjusted upwards. If the aging effect data does not exceed the aging rate increase span threshold and the constant temperature effect data exceeds the constant duration decrease span threshold, then the temperature deviation between the current recovery temperature and the limit temperature will be set as the initialization data.
4. The low-energy consumption control method for a microcrystalline furnace according to claim 1, characterized in that, If the floating trend data exceeds the maximum overlap duration threshold, or the floating impact data exceeds the total increase rate threshold, the initialization parameters of the microcrystal furnace will be adjusted; if the floating trend data does not exceed the maximum overlap duration threshold, and the floating impact data does not exceed the total increase rate threshold, the initialization parameters of the microcrystal furnace will continue to be monitored.
Citation Information
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