Adaptive control system for triple-effect heat recovery flue gas de-whitening unit

Abstract

This invention discloses an adaptive control system for a triple-effect heat recovery flue gas desulfurization unit. This invention relates to the field of heat energy recovery technology and solves the problem of excessive heat waste caused by the lack of analysis of different heat transfer loss scenarios. This invention collects and analyzes past parameters generated by the corresponding heat exchanger. Based on the analysis results, it identifies corresponding parameter packages, each with an optimal point corresponding to a specified optimal heat energy parameter. Subsequently, based on the corresponding demand parameters, it identifies the range to which such demand parameters belong and selects the corresponding optimal heat energy conversion value. Then, based on the optimal heat energy conversion value, it performs heat energy allocation to minimize heat loss, ensuring full utilization of waste heat and improving the overall waste heat recovery and utilization rate.

Description

Technical Field

[0001] This invention relates to the field of heat energy recovery technology, specifically to an adaptive control system for a triple-effect heat recovery flue gas desulfurization unit. Background Technology

[0002] After wet desulfurization and denitrification, coke oven flue gas will exhibit a tailing phenomenon, which requires flue gas whitening treatment. During the flue gas whitening process, a large amount of heat will be generated. This heat will be transferred and received first through a heat exchanger, and then transferred to a heat pump or steam generator. The heat pump will heat up the waste heat and then recover and reuse it.

[0003] Patent application CN113028435A discloses a waste heat recovery system for flue gas dewhitening in a gas-fired boiler. The system includes a boiler tail flue, a heat pipe heat exchanger, a flue gas dewhitening tower, a condenser, a demister, and an RO reverse osmosis water purifier. The boiler tail flue is connected to the heat pipe heat exchanger via a conduit. The heat pipe heat exchanger is connected to the flue gas dewhitening tower via a conduit. The flue gas dewhitening tower is connected to an exhaust pipe via a conduit and a three-way valve. The exhaust pipe contains a condenser and a demister, with the condenser located in front of the demister. The end of the exhaust pipe facing away from the flue gas dewhitening tower is connected to the heat pipe heat exchanger. This invention has the advantages of recovering waste heat from flue gas, effectively dewhitening flue gas, and simultaneously saving energy and reducing consumption.

[0004] During the heat recovery process of the flue gas desulfurization unit, the heat demand varies at different stages, while the corresponding waste heat transfer value is a fixed parameter. This can lead to excessive heat waste during the transfer process. The control system does not analyze the different heat loss situations and therefore does not analyze and determine the heat parameters that need to be transferred based on the specific analysis results, thus avoiding excessive heat loss. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an adaptive control system for a triple-effect heat recovery flue gas whitening unit, which solves the problem of high energy consumption in flue gas whitening. At the same time, it analyzes and rationally utilizes and adjusts the loss of different heat transfer states in the triple-effect heat recovery heat exchanger to prevent the problem of excessive heat flow rate waste.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an adaptive control system based on a triple-effect heat recovery flue gas desulfurization unit, comprising:

[0007] The waste heat recovery end is located inside the flue gas de-whitening unit. It is used to recover the waste heat generated during the flue gas de-whitening process, perform waste heat cooling and dehumidification through heat exchange, and transfer the recovered waste heat to the outdoor fresh air heat exchange and fresh air heating treatment end. It absorbs the cold air from the fresh air and transfers it to the waste heat recovery heat exchange end for cooling and dehumidification, continuously recycling the waste heat. Some of the recovered waste heat is also transferred to the heat pump or steam generator for reuse.

[0008] The heat exchange treatment end is the heat exchanger on the outdoor fresh air side of the flue gas de-whitening unit. It is used to perform heat exchange, heat release and cold absorption treatment on the recovered waste heat, and transfer the waste heat to the outdoor fresh air treatment. The treated fresh air dry air is mixed with the low temperature humid air after the exhaust gas treatment to achieve the de-whitening effect.

[0009] The parameter analysis and management terminal includes a past parameter acquisition unit, a parameter waveform construction unit, a parameter waveform analysis unit, and a storage unit.

[0010] Previously, the parameter acquisition unit collected the waste heat parameters transferred by the heat exchanger and the thermal energy parameters received by the corresponding receiving end, which was a heat pump or a steam generator. The unit also bundled different thermal energy parameters according to different waste heat parameters and transmitted the bundled parameter packages to the parameter waveform construction unit.

[0011] The parameter waveform construction unit receives several acquired parameter packets and then constructs a parameter waveform based on the received parameter packets. The specific method is as follows:

[0012] From the parameter package, average the values ​​of several different thermal energy parameters corresponding to the same waste heat parameter to identify a set of average values. Use this set of average values ​​as the standard corresponding value for this waste heat parameter. If there is only one set of thermal energy parameters, use it directly as the standard corresponding value.

[0013] A two-dimensional coordinate system is constructed by using thermal energy parameters as the horizontal coordinate axis and standard corresponding values ​​as the vertical coordinate axis. Within the two-dimensional coordinate system, the corresponding points are determined based on the waste heat parameters and standard corresponding values. Several corresponding points are then connected to confirm the parameter waveform, and the constructed parameter waveform is transmitted to the parameter wave analysis unit.

[0014] The parameter wave analysis unit first divides the confirmed parameter waveform into several waveform segments according to a preset segmentation value, then confirms the optimal point position within each waveform segment. Subsequently, the optimal point position and the corresponding interval of the waveform segment are merged to confirm the merged parameter package. The specific method is as follows:

[0015] Based on the preset segmentation value X1, where X1 is the preset value, starting from the origin on the horizontal coordinate axis, select parameter X1 and use the interval 0-X1 as the segmentation interval to confirm the first group of segmented waveform segments. Subsequently, use X1-2X1 as the second group of segmentation intervals to confirm the second group of segmented waveform segments, and so on, to confirm the subsequent segmented waveform segments.

[0016] Within each waveform segment, the trend parameters between each point are confirmed. The trend parameter is calculated as (standard corresponding value of the next point - standard corresponding value of the previous point) ÷ difference in residual heat parameters between the two points. Points with the same trend parameter are merged into the same trend segment. From several trend segments, the segment with the largest trend parameter is selected as the benchmark segment, and the highest point within the benchmark segment is taken as the best point of this waveform segment. Different waveform segments and different best points are merged, the merging parameters are confirmed, and the different merging parameters are transmitted to the storage unit for storage.

[0017] The demand parameter confirmation terminal allows operators to input the heat energy demand value confirmed by the receiving terminal and transmit the confirmed heat energy demand value to the control terminal.

[0018] The control terminal controls the waste heat to be transferred from the heat exchange processing terminal based on the received heat energy demand value. Specifically, the control terminal controls the waste heat to be transferred based on the received heat energy demand value.

[0019] The received heat energy demand value is marked as RL, and RL is compared with the merged parameter package stored in the storage unit to confirm the waveform segment to which RL belongs. Then, the optimal point is confirmed from the waveform segment to which RL belongs, and the waste heat parameters corresponding to the optimal point are confirmed.

[0020] The control end directly transfers the waste heat corresponding to the waste heat parameters from the heat exchange processing end to the receiving end.

[0021] Preferably, it also includes a conversion parameter monitoring terminal, and the conversion parameter monitoring terminal includes a monitoring waveform generation unit and a monitoring waveform analysis unit;

[0022] The monitoring waveform generation unit confirms the thermal energy utilization rate of the receiving end, constructs a monitoring waveform belonging to the corresponding receiving end based on the different thermal energy utilization rates generated at different time points, and transmits the constructed monitoring waveform to the monitoring waveform analysis unit.

[0023] Preferably, the monitoring waveform analysis unit receives and analyzes the monitoring waveform, and determines whether there is an abnormality in heat energy conversion at the corresponding receiving end based on the analysis results; specifically:

[0024] From the monitored waveform, identify the fluctuation points within it. The line segments at the two ends of each fluctuation point exhibit opposite trends. Label the heat energy utilization rate corresponding to different fluctuation points within this monitored waveform as LY. k , where k represents different fluctuation points, and k = 1, 2, ..., n;

[0025] Using CZ=LY k+1 -LY k The difference CZ between several adjacent fluctuation points is obtained, where k≤n-1. Then, the difference CZ is summed to obtain the merging parameter, and the merging parameter is marked as HB.

[0026] Analyze whether HB satisfies HB≥0. If it does, it means that there is no problem with the thermal energy conversion of this receiver. If it does not, it means that there is a problem with the thermal energy conversion of this receiver, and an error signal is generated and transmitted to the external display terminal for external personnel to view and take timely countermeasures.

[0027] Beneficial effects

[0028] This invention provides an adaptive control system for a triple-effect heat recovery flue gas desulfurization unit. Compared with existing technologies, it has the following advantages:

[0029] This invention collects and analyzes past parameters generated by a corresponding triple-effect heat exchanger. Based on the analysis results, it identifies corresponding parameter packages. Each parameter package contains an optimal point, which corresponds to a specified optimal thermal energy parameter. Subsequently, based on the corresponding demand parameters, it identifies the range to which such demand parameters belong and selects the corresponding optimal thermal energy conversion value. Then, based on the optimal thermal energy conversion value, it performs thermal energy allocation to minimize the amount of thermal energy loss, ensure full utilization of waste heat, and improve the overall waste heat recovery and utilization rate.

[0030] Subsequently, the thermal energy conversion is monitored, and the specific changes in the conversion rate are confirmed by analyzing the conversion rate at the corresponding receiving end. If all subsequent points are in an increasing state compared to the initial point, then there is no thermal energy conversion problem at the corresponding receiving end. The specific problem at the corresponding receiving end can be quickly and effectively analyzed, and timely maintenance or other methods can be used to avoid affecting the thermal energy conversion of the entire flue gas whitening unit and ensure the rational utilization of thermal energy. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the principle framework of the present invention;

[0032] Figure 2 This is a schematic diagram of the parameter analysis and management terminal of the present invention;

[0033] Figure 3This is a schematic diagram of the parameter monitoring terminal of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.

[0035] Example 1

[0036] Please see Figure 1 This application provides an adaptive control system for a triple-effect heat recovery flue gas de-whitening unit, including a waste heat recovery end, a heat exchange processing end, a control end, a demand parameter confirmation end, a parameter analysis and management end, and a conversion parameter monitoring end. The waste heat recovery end is electrically connected to the input node of the heat exchange processing end. The heat exchange processing end, the demand parameter confirmation end, and the parameter analysis and management end are all electrically connected to the input node of the control end. The control end is electrically connected to the input node of the conversion parameter monitoring end.

[0037] Please see Figure 2 The parameter analysis management terminal includes a past parameter acquisition unit, a parameter waveform construction unit, a parameter waveform analysis unit, and a storage unit. The past parameter acquisition unit is electrically connected to the input node of the parameter waveform construction unit, the parameter waveform construction unit is electrically connected to the input node of the parameter waveform analysis unit, and the parameter waveform analysis unit is electrically connected to the input node of the storage unit.

[0038] Please see Figure 3 The conversion parameter monitoring terminal includes a monitoring waveform generation unit and a monitoring waveform analysis unit, wherein the monitoring waveform generation unit and the monitoring waveform analysis unit are electrically connected to the input node;

[0039] The waste heat recovery end is set in the flue gas de-whitening unit to recover the waste heat generated during the flue gas de-whitening process, perform heat exchange for waste heat cooling and dehumidification, and transfer the recovered waste heat to the outdoor fresh air heat exchange and fresh air heating treatment end to absorb the cold air from the fresh air and transfer it to the waste heat recovery heat exchange end for cooling and dehumidification, continuously recycling and reusing. Part of the recovered waste heat is also transferred to the heat pump or steam generator for reuse.

[0040] The heat exchange treatment end is the heat exchanger on the outdoor fresh air side of the flue gas de-whitening unit. It is used to perform heat exchange, heat release and cold absorption treatment on the recovered waste heat, and transfer the waste heat to the outdoor fresh air treatment. The treated fresh air dry air is mixed with the low temperature humid air after the exhaust gas treatment to achieve the de-whitening effect.

[0041] The parameter analysis and management terminal's internal parameter acquisition unit collects the waste heat parameters transferred by the heat exchanger and the thermal energy parameters received by the corresponding receiving end, which is a heat pump or a steam generator. It also bundles different thermal energy parameters according to different waste heat parameters and transmits the bundled parameter packages to the parameter waveform construction unit. Specifically, because heat is lost during the transfer process, it is necessary to identify the specific heat energy lost from the past heat transfer parameters. Subsequently, by analyzing and confirming the specific heat energy, the optimal waste heat parameters to be transferred are selected.

[0042] The parameter waveform construction unit receives several acquired parameter packets, constructs parameter waveforms based on the received parameter packets, and transmits the constructed parameter waveforms to the parameter waveform analysis unit. The specific method for constructing the waveform is as follows:

[0043] From the parameter package, average the values ​​of several different thermal energy parameters corresponding to the same waste heat parameter to identify a set of average values. Use this set of average values ​​as the standard corresponding value for this waste heat parameter. If there is only one set of thermal energy parameters, use it directly as the standard corresponding value.

[0044] A two-dimensional coordinate system is constructed by using the thermal energy parameters as the horizontal coordinate axis and the standard corresponding values ​​as the vertical coordinate axis. Within the two-dimensional coordinate system, the corresponding points are determined based on the waste heat parameters and the standard corresponding values. Several corresponding points are then connected to confirm the parameter waveform, and the constructed parameter waveform is transmitted to the parameter wave analysis unit.

[0045] The parameter wave analysis unit first divides the confirmed parameter waveform into several waveform segments according to a preset segmentation value, then confirms the optimal point position within each waveform segment. Subsequently, the optimal point position and the interval corresponding to the waveform segment are merged, and the merged parameter packet is confirmed and transmitted to the storage unit for storage. The specific method of confirmation is as follows:

[0046] Based on the preset segmentation value X1, where X1 is a preset value and its specific value is determined by the operator based on experience, starting from the origin in the horizontal coordinate axis, select parameter X1, and use the interval 0-X1 as the segmentation interval to confirm the first group of segmented waveform segments. Subsequently, use X1-2X1 as the second group of segmentation intervals to confirm the second group of segmented waveform segments, and so on, to confirm the subsequent segmented waveform segments.

[0047] For each waveform segment, the trend parameters between each point are confirmed. The trend parameter is calculated as (standard corresponding value of the next point - standard corresponding value of the previous point) ÷ difference in residual heat parameters between the two points. Points with the same trend parameter are merged into the same trend segment. From several trend segments, the segment with the largest trend parameter is selected as the benchmark segment, and the highest point in the benchmark segment is selected as the best point of this waveform segment. Different waveform segments and different best points are merged, the merging parameters are confirmed, and the different merging parameters are transmitted to the storage unit for storage.

[0048] Specifically, the optimal point to be processed is the point within this waveform segment where the heat loss is the least. Among several points, this optimal point has the highest heat utilization rate and the least heat loss. Therefore, the optimal operating parameters can be selected by defining the corresponding waveform segment to ensure the rational use of the overall heat parameters, maximize resource utilization, and reduce energy consumption.

[0049] The demand parameter confirmation terminal allows the operator to input the heat energy demand value confirmed by the receiving terminal, where the receiving terminal is a heat pump or steam generator, and transmits the confirmed heat energy demand value to the control terminal.

[0050] The control terminal controls the waste heat to be transferred from the heat exchange processing terminal based on the received heat energy demand value, thereby ensuring full utilization of the heat energy. The specific control method is as follows:

[0051] The received heat energy demand value is marked as RL, and RL is compared with the merged parameter package stored in the storage unit to confirm the waveform segment to which RL belongs. Then, the optimal point is confirmed from the waveform segment to which RL belongs, and the waste heat parameters corresponding to the optimal point are confirmed.

[0052] The control end directly transfers the waste heat corresponding to the waste heat parameters from the heat exchange processing end to the receiving end, thereby ensuring that the heat energy is fully utilized.

[0053] Example 2

[0054] In the specific implementation process of this embodiment, a conversion parameter monitoring end is also included. The monitoring waveform generation unit inside the conversion parameter monitoring end confirms the thermal energy utilization rate of the receiving end and constructs a monitoring waveform belonging to the corresponding receiving end based on the different thermal energy utilization rates generated at different time points. The constructed monitoring waveform is then transmitted to the monitoring waveform analysis unit. The construction process includes: using the specific time direction as the horizontal coordinate axis, and subsequently using the thermal energy utilization rate as the vertical coordinate axis, and placing the specific point position in the two-dimensional coordinate system, and then constructing the corresponding monitoring waveform.

[0055] Example 3

[0056] In this embodiment, the implementation process also includes a waveform analysis unit. This unit receives and analyzes the monitored waveform, and based on the analysis results, determines whether there is an abnormality in heat energy conversion at the corresponding receiving end. The specific method of analysis is as follows:

[0057] From the monitored waveform, identify the fluctuation points within it. The line segments at the two ends of each fluctuation point exhibit opposite trends; when one line segment rises, the other falls, and vice versa. The thermal energy utilization rate corresponding to different fluctuation points within this monitored waveform is labeled LY. k , where k represents different fluctuation points, and k = 1, 2, ..., n;

[0058] Using CZ=LY k+1 -LY k The difference CZ between several adjacent fluctuation points is obtained, where k≤n-1. Then, the difference CZ is summed to obtain the merging parameter, and the merging parameter is marked as HB.

[0059] Analyze whether HB satisfies HB≥0. If it does, it means that there is no problem with the thermal energy conversion of this receiver. If it does not, it means that there is a problem with the thermal energy conversion of this receiver, and an error signal is generated and transmitted to the external display terminal for external personnel to view and take timely countermeasures.

[0060] Specifically, during data analysis, the first step is to confirm whether there is a thermal energy conversion problem at the corresponding receiving end. Therefore, by analyzing the conversion rate of the corresponding receiving end, the specific changes in the conversion rate are confirmed. If all subsequent points are in an increasing state compared to the initial point, then there is no thermal energy conversion problem at the corresponding receiving end. If all subsequent points are in a decreasing state or other states compared to the initial point, then when the difference between the corresponding points is merged, the specific merged parameter will be less than 0, which indicates that there is a problem with the corresponding thermal energy conversion parameter. In this case, timely maintenance or other measures are required to avoid affecting the thermal energy conversion of the entire flue gas desulfurization unit and to ensure the rational utilization of thermal energy.

[0061] Example 4

[0062] In its specific implementation, this embodiment includes all the implementation processes of the above embodiments.

[0063] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0064] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An adaptive control system for a triple-effect heat recovery flue gas desulfurization unit, characterized in that, include: The waste heat recovery end is located inside the flue gas de-whitening unit. It is used to recover the waste heat generated during the flue gas de-whitening process, perform waste heat cooling and dehumidification through heat exchange, and transfer the recovered waste heat to the outdoor fresh air heat exchange and fresh air heating treatment end. It absorbs the cold air from the fresh air and transfers it to the waste heat recovery heat exchange end for cooling and dehumidification, continuously recycling the waste heat. Some of the recovered waste heat is also transferred to the heat pump or steam generator for reuse. The heat exchange treatment end is the heat exchanger on the outdoor fresh air side of the flue gas de-whitening unit. It is used to perform heat exchange, heat release and cold absorption treatment on the recovered waste heat, and transfer the waste heat to the outdoor fresh air treatment. The treated fresh air dry air is mixed with the low temperature humid air after the exhaust gas treatment to achieve the de-whitening effect. The parameter analysis and management terminal includes a past parameter acquisition unit, a parameter waveform construction unit, a parameter waveform analysis unit, and a storage unit. Previously, the parameter acquisition unit collected the waste heat parameters transferred by the heat exchanger and the thermal energy parameters received by the corresponding receiving end, which was a heat pump or a steam generator. The unit also bundled different thermal energy parameters according to different waste heat parameters and transmitted the bundled parameter packages to the parameter waveform construction unit. The parameter waveform construction unit receives several collected parameter packets, constructs parameter waveforms based on the received parameter packets, and transmits the constructed parameter waveforms to the parameter waveform analysis unit. The parameter wave analysis unit first divides the confirmed parameter waveform into several waveform segments according to the preset segmentation value, then confirms the best point in each waveform segment, and then merges the best point and the interval corresponding to the waveform segment to confirm the merged parameter packet and transmit it to the storage unit for storage. The demand parameter confirmation terminal allows operators to input the heat energy demand value confirmed by the receiving terminal and transmit the confirmed heat energy demand value to the control terminal. The control terminal controls the waste heat to be transferred from the heat exchange processing terminal based on the received heat energy demand value.

2. The adaptive control system for a triple-effect heat recovery flue gas desulfurization unit according to claim 1, characterized in that, The parameter waveform construction unit constructs the parameter waveform in the following specific way: From the parameter package, average the values ​​of several different thermal energy parameters corresponding to the same waste heat parameter to identify a set of average values. Use this set of average values ​​as the standard corresponding value for this waste heat parameter. If there is only one set of thermal energy parameters, use it directly as the standard corresponding value. A two-dimensional coordinate system is constructed by using the thermal energy parameters as the horizontal coordinate axis and the standard corresponding values ​​as the vertical coordinate axis. Within the two-dimensional coordinate system, the corresponding points are determined based on the waste heat parameters and the standard corresponding values. Several corresponding points are then connected to confirm the parameter waveform, and the constructed parameter waveform is transmitted to the parameter wave analysis unit.

3. The adaptive control system for a triple-effect heat recovery flue gas desulfurization unit according to claim 2, characterized in that, The parameter analysis unit confirms the specific method for merging parameter packets as follows: Based on the preset segmentation value X1, where X1 is the preset value, starting from the origin on the horizontal coordinate axis, select parameter X1 and use the interval 0-X1 as the segmentation interval to confirm the first group of segmented waveform segments. Subsequently, use X1-2X1 as the second group of segmentation intervals to confirm the second group of segmented waveform segments, and so on, to confirm the subsequent segmented waveform segments. For each waveform segment, the trend parameters between each point are confirmed. The trend parameter is calculated as (standard corresponding value of the next point - standard corresponding value of the previous point) ÷ difference in residual heat parameters between the two points. Points with the same trend parameter are merged into the same trend segment. From several trend segments, the segment with the largest trend parameter is selected as the benchmark segment, and the highest point in the benchmark segment is selected as the best point of this waveform segment. Different waveform segments and different best points are merged, the merging parameters are confirmed, and the different merging parameters are transmitted to the storage unit for storage.

4. The adaptive control system for a triple-effect heat recovery flue gas desulfurization unit according to claim 1, characterized in that, The control terminal controls the waste heat to be transferred from the heat exchange processing terminal in the following specific way: The received heat energy demand value is marked as RL, and RL is compared with the merged parameter package stored in the storage unit to confirm the waveform segment to which RL belongs. Then, the optimal point is confirmed from the waveform segment to which RL belongs, and the waste heat parameters corresponding to the optimal point are confirmed. The control end directly transfers the waste heat corresponding to the waste heat parameters from the heat exchange processing end to the receiving end.

5. The adaptive control system for a triple-effect heat recovery flue gas desulfurization unit according to claim 1, characterized in that, It also includes a conversion parameter monitoring terminal, which includes a monitoring waveform generation unit and a monitoring waveform analysis unit; The monitoring waveform generation unit confirms the thermal energy utilization rate of the receiving end, constructs a monitoring waveform belonging to the corresponding receiving end based on the different thermal energy utilization rates generated at different time points, and transmits the constructed monitoring waveform to the monitoring waveform analysis unit.

6. The adaptive control system for a triple-effect heat recovery flue gas desulfurization unit according to claim 5, characterized in that, The monitoring waveform analysis unit receives and analyzes the monitoring waveform, and determines whether there is an abnormality in heat energy conversion at the corresponding receiving end based on the analysis results.

7. The adaptive control system for a triple-effect heat recovery flue gas desulfurization unit according to claim 6, characterized in that, The monitoring waveform analysis unit analyzes the monitoring waveform in the following specific way: From the monitored waveform, identify the fluctuation points within it. The line segments at the two ends of each fluctuation point exhibit opposite trends. Label the heat energy utilization rate corresponding to different fluctuation points within this monitored waveform as LY. k , where k represents different fluctuation points, and k = 1, 2, ..., n; Using CZ=LY k+1 -LY k The difference CZ between several adjacent fluctuation points is obtained, where k≤n-1. Then, the difference CZ is summed to obtain the merging parameter, and the merging parameter is marked as HB. Analyze whether HB satisfies HB≥0. If it does, it means that there is no problem with the thermal energy conversion of this receiver. If it does not, it means that there is a problem with the thermal energy conversion of this receiver, and an error signal is generated and transmitted to the external display terminal for external personnel to view and take timely countermeasures.

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