An intelligent drum water level measurement and correction system

Abstract

The present invention relates to an intelligent drum water level measurement and correction system, comprising a drum, an electric contact water level gauge, a magnetic flap water level gauge, a first differential pressure water level gauge, a second differential pressure water level gauge, a third differential pressure water level gauge, a first camera, a first video data stream screen splitter, a second camera, a second video data stream screen splitter, monitoring equipment, data acquisition equipment, sensor integration, a data processing module and a host computer. The present invention designs a plurality of water level gauges when measuring the water level in the drum, and determines the actual water level in the drum by detecting the water levels at different positions, so that the detection is more reasonable. At the same time, during the operation of the drum, considering the water circulation, the water levels at different positions have the same reference to the actual water level. Therefore, in the process of calculating the standard water level, different weight parameters are designed to make the calculated actual water level more accurate.

Description

Technical Field

[0001] The invention relates to the technical field of boiler drum water level measurement, and in particular to an intelligent drum water level measurement and correction system. Background Art

[0002] At present, in the field of boiler drum water level measurement, production sites are often equipped with redundant links and use a variety of water level gauges to measure water levels. The more practical ones are magnetic flap water level gauges, electric contact water level gauges, and differential pressure water level gauges. Magnetic flap water level gauges and electric contact water level gauges are local instruments, while the differential pressure signal of the differential pressure water level gauge can be directly sent to the DCS system for calculation to obtain the water level measurement value. In actual applications, there are the following problems: (1) Affected by the external temperature, the saturated water in the pressure pipe dissipates heat and shrinks, and the water level value measured by the magnetic flap water level gauge based on the principle of the communicating vessel has a large deviation; (2) Magnetic flap water level gauges and electric contact water level gauges are local instruments, and the signals cannot be transmitted remotely, requiring on-site observation and recording by operating personnel; (3) The water level information of each water level gauge is independent of each other, each has errors, and the water level information is difficult to integrate; (4) The water level gauge failure cannot be automatically diagnosed and needs to be manually checked by the operating personnel. The above problems lead to a large error between the water level measurement and the actual water level value, which brings great inconvenience to the actual production process. Summary of the invention

[0003] In view of the problems of large measurement errors of existing water level meters, difficulty in integrating independent information, and inability to automatically diagnose faults, the present invention proposes an intelligent drum water level measurement and correction system.

[0004] To achieve the above object, the present invention provides an intelligent drum water level measurement and correction system, comprising a drum, on which an electric contact water level gauge, a magnetic flap water level gauge, a first differential pressure water level gauge, a second differential pressure water level gauge, and a third differential pressure water level gauge are provided;

[0005] A first camera is arranged horizontally in front of the electric contact water level gauge, and the first camera is connected to a first video data stream screen splitter;

[0006] A second camera is arranged horizontally in front of the magnetic flap water level gauge, and the second camera is connected to a second video data stream screen splitter;

[0007] The intelligent measuring device is also provided with monitoring equipment, data acquisition equipment, sensor integration, data processing module and host computer;

[0008] The monitoring device is connected to the first video data stream screen splitter and the second video data stream screen splitter respectively;

[0009] The first differential pressure water level gauge, the second differential pressure water level gauge, and the third differential pressure water level gauge are respectively connected to the data acquisition device;

[0010] The data acquisition device is also integrated with the sensor and connected to the data processing module respectively;

[0011] The data processing module is connected to the host computer;

[0012] The first differential pressure water level gauge, the second differential pressure water level gauge, and the third differential pressure water level gauge respectively detect the water levels at corresponding positions, and transmit the detection results to the data processing module. The data processing module determines the actual water level in the drum based on the detected data. Before performing the actual water level detection, the data processing module analyzes the water levels at corresponding positions detected by the first differential pressure water level gauge, the second differential pressure water level gauge, and the third differential pressure water level gauge to determine whether there is a fault in each differential pressure water level gauge.

[0013] Furthermore, when the intelligent drum water level measurement and correction system is used for water level detection, the first differential pressure water level gauge collects the water level A1 at the first position, the second differential pressure water level gauge collects the water level A2 at the second position, and the third differential pressure water level gauge collects the water level A3 at the third position. Each of the differential pressure water level gauges transmits the measured data to the data processing module.

[0014] The data processing module calculates the drum water level measurement value A, A=(A1×a1+A2×a2+A3×a3)÷3, wherein a1 is the compensation parameter calculated for the drum water level measurement value of the first position water level A1, a2 is the compensation parameter calculated for the drum water level measurement value of the second position water level A2, and a3 is the compensation parameter calculated for the drum water level measurement value of the third position water level A3.

[0015] Furthermore, before calculating the actual water level, the data processing module determines the first position water level A1, the second position water level A2, and the third position water level A3 to determine whether each detected water level value is within a reasonable range, thereby determining whether a fault occurs in each differential pressure water level gauge.

[0016] Further, the data processing module calculates the average Ap of the water level A1 at the first position, the water level A2 at the second position, and the water level A3 at the third position, where Ap=(A1+A2+A3)÷3, and the data processing module calculates the difference ΔA1 between the water level at the first position and the average, the difference ΔA2 between the water level at the second position and the average, and the difference ΔA3 between the water level at the third position and the average, where ΔA1=|A1-Ap|, ΔA2=|A2-Ap|, and ΔA3=|A3-Ap|.

[0017] The data processing module is provided with a first preset difference evaluation parameter B1, a second preset difference evaluation parameter B2, and a third preset difference evaluation parameter B3;

[0018] The data processing module compares the difference ΔA1 between the first position water level and the average with the first preset difference evaluation parameter B1.

[0019] When ΔA1>B1, the data processing module determines that the water level detection at the first position is unqualified;

[0020] When ΔA1≤B1, the data processing module determines that the water level detection at the first position is qualified;

[0021] The data processing module compares the difference ΔA2 between the second position water level and the average with the second preset difference evaluation parameter B2.

[0022] When ΔA2>B2, the data processing module determines that the water level detection at the second position is unqualified;

[0023] When ΔA2≤B2, the data processing module determines that the water level detection at the second position is qualified;

[0024] The data processing module compares the difference ΔA3 between the water level at the third position and the average with the third preset difference evaluation parameter B3.

[0025] When ΔA3>B3, the data processing module determines that the water level detection at the third position is unqualified;

[0026] When ΔA3≤B3, the data processing module determines that the water level detection at the third position is qualified;

[0027] When the water level detection at any position fails, the data processing module determines that at least one of the first differential pressure water level gauge, the second differential pressure water level gauge, and the third differential pressure water level gauge is faulty.

[0028] When the water level detections at the three positions are all qualified, the data processing module determines that there is no fault at each differential pressure water level.

[0029] Further, for the first preset difference evaluation parameter B1, B1=Ap×b1+B, wherein b1 is the first preset difference evaluation parameter calculation compensation value, and B is the difference evaluation parameter base value;

[0030] For the second preset difference evaluation parameter B2, B2=Ap×b2+B, where b2 is the second preset difference evaluation parameter calculation compensation value,

[0031] For the third preset difference evaluation parameter B3, B3=Ap×b3+B, wherein b3 is the third preset difference evaluation parameter calculation compensation value.

[0032] Further, the data processing module includes a processor, a power supply and a sealed shell;

[0033] The processor and the power supply are arranged in the sealed shell; the processor is connected to the power supply, the power supply provides working power for the processor, and the processor is connected to the host computer;

[0034] The processor includes a data receiving module, a neural network module, a comparison and value taking module and a data output module;

[0035] The data receiving module is connected to the data acquisition device, receives the data transmitted by the data acquisition device, and processes the field data; the data receiving module is also connected to the neural network module and the comparison and value module, and the comparison and value module is connected to the neural network module and the data output module;

[0036] Furthermore, the power supply is an external power supply; and the sealed shell is a stainless steel metal shell.

[0037] Furthermore, the neural network module is an LSTM neural network.

[0038] Furthermore, the first camera and the second camera are industrial color cameras.

[0039] Furthermore, the sensor integration includes a drum pressure sensor, a feed water pressure sensor, a feed water flow sensor, a main steam pressure sensor, a main steam flow sensor, and a main steam temperature sensor.

[0040] Compared with the prior art, the beneficial effect of the present invention is that, by setting up multiple water level gauges to detect the water level, the present invention achieves effective fusion of water level measurement information and effectively reduces water level measurement errors.

[0041] Furthermore, the data processing module calculates the drum water level measurement value A, A = (A1×a1+A2×a2+A3×a3)÷3. When measuring the water level in the drum, multiple water level gauges are designed to determine the actual water level in the drum by detecting the water levels at different positions, making the detection more reasonable. At the same time, during the operation of the drum, taking into account the water circulation, the water levels at different positions have the same reference to the actual water level. Therefore, in the process of calculating the standard water level, different weight parameters are designed to make the calculated actual water level more accurate.

[0042] Furthermore, before calculating the actual water level, the data processing module determines the water level A1 at the first position, the water level A2 at the second position, and the water level A3 at the third position to determine whether each detected water level value is within a reasonable range, thereby determining whether a fault occurs in each differential pressure water level gauge. Before calculating the actual water level, each water level is determined to determine whether a fault occurs in each differential pressure water level gauge, thereby achieving effective fusion of water level measurement information from multiple water level gauges. Before detecting the actual water level, determine whether a fault occurs in each differential pressure water level gauge to prevent water level judgment errors caused by faults in the differential pressure water level gauge. Increase the accuracy of water level detection.

[0043] In particular, the data processing module calculates the average Ap of the water level A1 at the first position, the water level A2 at the second position, and the water level A3 at the third position, where Ap=(A1+A2+A3)÷3. The data processing module calculates the difference ΔA1 between the water level at the first position and the average, the difference ΔA2 between the water level at the second position and the average, and the difference ΔA3 between the water level at the third position and the average. The data processing module is provided with a first preset difference evaluation parameter B1, a second preset difference evaluation parameter B2, and a third preset difference evaluation parameter B3. The difference between the water level at each position and the average is compared with the corresponding preset difference evaluation parameter. By comparing the detected water level with the average water level, it is determined whether the water level is qualified according to the comparison result, and whether there is a fault in each differential pressure water level gauge, so as to prevent the water level judgment error caused by the fault of the differential pressure water level gauge. The accuracy of water level detection is increased.

[0044] In particular, for the first preset difference evaluation parameter B1, B1=Ap×b1+B, wherein b1 is the first preset difference evaluation parameter calculation compensation value, and B is the difference evaluation parameter base value; the preset difference is determined according to the average water level to increase the accuracy of water level detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a structural schematic diagram of the intelligent drum water level measurement and correction system of the present invention;

[0046] Figure 2 This is a workflow diagram of the intelligent drum water level measurement and correction system described in the present invention. DETAILED DESCRIPTION

[0047] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0048] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0049] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0050] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0051] See also Figure 1 As shown, it is a structural schematic diagram of the intelligent steam drum water level measurement and correction system of the present invention.

[0052] The present invention provides an intelligent drum water level measurement and correction system, comprising a drum 1, on which an electric contact water level gauge 2, a magnetic flap water level gauge 3, a first differential pressure water level gauge 4, a second differential pressure water level gauge 5, and a third differential pressure water level gauge 6 are provided;

[0053] A first camera 7 is disposed horizontally in front of the electric contact water level gauge 2, and the first camera 7 is connected to a first video data stream screen splitter 9;

[0054] A second camera 8 is disposed horizontally in front of the magnetic flap water level gauge 3, and the second camera 8 is connected to a second video data stream splitter 10;

[0055] The intelligent measuring device is also provided with a monitoring device 11, a data acquisition device 12, a sensor integration 13, a data processing module 14 and a host computer 15;

[0056] The monitoring device 11 is connected to the first video data stream screen splitter 9 and the second video data stream screen splitter 10 respectively;

[0057] The first differential pressure water level gauge 4, the second differential pressure water level gauge 5, and the third differential pressure water level gauge 6 are respectively connected to the data acquisition device 12;

[0058] The data acquisition device 12 is also connected to the sensor integration 13 and the data processing module 14 respectively;

[0059] The data processing module 14 is connected to the host computer 15. The data processing module 14 includes a processor, a power supply and a sealed shell;

[0060] The processor and the power supply are arranged in the sealed shell; the processor is connected to the power supply, the power supply provides working power for the processor, and the processor is connected to the host computer 15;

[0061] The processor includes a data receiving module, a neural network module, a comparison and value taking module and a data output module;

[0062] The data receiving module is connected to the data acquisition device 12, receives the data transmitted by the data acquisition device 12, and processes the field data; the data receiving module is also connected to the neural network module and the comparison and value module, and the comparison and value module is connected to the neural network module and the data output module;

[0063] Specifically, the power supply is an external power supply.

[0064] Specifically, the sealed shell is a stainless steel metal shell.

[0065] Specifically, the neural network module is an LSTM neural network.

[0066] Specifically, the first camera 7 and the second camera 8 are industrial color cameras.

[0067] Specifically, the sensor integration 13 includes a drum pressure sensor, a feed water pressure sensor, a feed water flow sensor, a main steam pressure sensor, a main steam flow sensor, and a main steam temperature sensor.

[0068] Please continue reading Figure 2 As shown, it is a workflow diagram of the intelligent drum water level measurement and correction system of the present invention.

[0069] When the intelligent drum water level measurement and correction system is used for water level detection, the first differential pressure water level gauge collects the water level A1 at the first position, the second differential pressure water level gauge collects the water level A2 at the second position, and the third differential pressure water level gauge collects the water level A3 at the third position. Each of the differential pressure water level gauges transmits the measured data to the data processing module.

[0070] The data processing module calculates the drum water level measurement value A, A=(A1×a1+A2×a2+A3×a3)÷3, wherein a1 is the compensation parameter calculated by the first position water level A1 for the drum water level measurement value, a2 is the compensation parameter calculated by the second position water level A2 for the drum water level measurement value, and a3 is the compensation parameter calculated by the third position water level A3 for the drum water level measurement value;

[0071] When measuring the water level in the drum, multiple water level gauges are designed to determine the actual water level in the drum by detecting the water levels at different positions, making the detection more reasonable. At the same time, during the operation of the drum, taking into account the water circulation, the water levels at different positions have the same reference to the actual water level. Therefore, in the process of calculating the standard water level, different weight parameters are designed to make the calculated actual water level more accurate.

[0072] Before calculating the actual water level, the data processing module determines the first position water level A1, the second position water level A2, and the third position water level A3 to determine whether each detected water level value is within a reasonable range, thereby determining whether a fault occurs in each differential pressure water level gauge.

[0073] Before calculating the actual water level, each water level is judged to determine whether there is a fault in each differential pressure water level gauge, and the water level measurement information of multiple water level gauges is effectively integrated. Before detecting the actual water level, it is determined whether there is a fault in each differential pressure water level gauge to prevent water level judgment errors caused by differential pressure water level gauge failures. Increase the accuracy of water level detection.

[0074] The data processing module calculates the average Ap of the water level A1 at the first position, the water level A2 at the second position, and the water level A3 at the third position, where Ap=(A1+A2+A3)÷3. The data processing module calculates the difference ΔA1 between the water level at the first position and the average, the difference ΔA2 between the water level at the second position and the average, and the difference ΔA3 between the water level at the third position and the average, where ΔA1=|A1-Ap|, ΔA2=|A2-Ap|, and ΔA3=|A3-Ap|.

[0075] The data processing module is provided with a first preset difference evaluation parameter B1, a second preset difference evaluation parameter B2, and a third preset difference evaluation parameter B3;

[0076] The data processing module compares the difference ΔA1 between the first position water level and the average with the first preset difference evaluation parameter B1.

[0077] When ΔA1>B1, the data processing module determines that the water level detection at the first position is unqualified;

[0078] When ΔA1≤B1, the data processing module determines that the water level detection at the first position is qualified;

[0079] The data processing module compares the difference ΔA2 between the second position water level and the average with the second preset difference evaluation parameter B2.

[0080] When ΔA2>B2, the data processing module determines that the water level detection at the second position is unqualified;

[0081] When ΔA2≤B2, the data processing module determines that the water level detection at the second position is qualified;

[0082] The data processing module compares the difference ΔA3 between the water level at the third position and the average with the third preset difference evaluation parameter B3.

[0083] When ΔA3>B3, the data processing module determines that the water level detection at the third position is unqualified;

[0084] When ΔA3≤B3, the data processing module determines that the water level detection at the third position is qualified;

[0085] When the water level detection at any position fails, the data processing module determines that at least one of the first differential pressure water level gauge, the second differential pressure water level gauge, and the third differential pressure water level gauge is faulty.

[0086] When the water level detections at the three positions are all qualified, the data processing module determines that there is no fault at each differential pressure water level.

[0087] By comparing the detected water level with the average water level, judging whether the water level is qualified according to the comparison result, determining whether there is a fault in each differential pressure water level gauge, and preventing the water level judgment error caused by the fault of the differential pressure water level gauge, the accuracy of water level detection is increased.

[0088] For the first preset difference evaluation parameter B1, B1=Ap×b1+B, wherein b1 is the first preset difference evaluation parameter calculation compensation value, and B is the difference evaluation parameter base value;

[0089] For the second preset difference evaluation parameter B2, B2=Ap×b2+B, where b2 is the second preset difference evaluation parameter calculation compensation value,

[0090] For the third preset difference evaluation parameter B3, B3=Ap×b3+B, wherein b3 is the third preset difference evaluation parameter calculation compensation value.

[0091] The preset difference is determined based on the average water level, which increases the accuracy of water level detection.

[0092] The present invention performs weighted calculation on the water level measurement values ​​of three differential pressure water level gauges to obtain the actual water level value, thereby achieving more accurate water level measurement. At the same time, the data processing module realizes real-time prediction of the drum water level through the LSTM neural network training model based on the integrated measurement value of a sensor at the production site and the aforementioned water level measurement value. The predicted water level value of the LSTM neural network is compared with the measured water level value. If the error is within the allowable range, the water level value calculated by the weight of the differential pressure water level gauge is used as the measured water level value; if the error is too large, it is considered that the sensor is faulty, and fault diagnosis of the sensor is realized.

[0093] The design process of the embodiment of the present invention is as follows: First, the software system of the data processing module is designed in outline. The outline design needs to consider the overall software system, including the basic processing flow of the system, the organizational structure of the system, function allocation, interface design, operation design, data structure design and error handling design, etc. The software system mainly includes LSTM neural network module, online signal conversion and analysis; for parameters that often need to be modified, compared and analyzed, the corresponding operation interface should be designed in the software system.

[0094] For the basic setting function block, each module of the software is specifically divided and designed in detail: the online signal conversion and analysis module is specifically divided into the setting of communication function and data flow input / output.

[0095] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0096] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent drum water level measurement and correction system, characterized in that: It comprises a steam drum, on which an electric contact water level gauge, a magnetic flap water level gauge, a first differential pressure water level gauge, a second differential pressure water level gauge and a third differential pressure water level gauge are provided; A first camera is arranged horizontally in front of the electric contact water level gauge, and the first camera is connected to a first video data stream screen splitter; A second camera is arranged horizontally in front of the magnetic flap water level gauge, and the second camera is connected to a second video data stream screen splitter; The intelligent drum water level measurement and correction system is also provided with monitoring equipment, data acquisition equipment, sensor integration, data processing module and host computer; The monitoring device is connected to the first video data stream screen splitter and the second video data stream screen splitter respectively; The first differential pressure water level gauge, the second differential pressure water level gauge, and the third differential pressure water level gauge are respectively connected to the data acquisition device; The data acquisition device is also integrated with the sensor and connected to the data processing module respectively; The data processing module is connected to the host computer; The first differential pressure water level gauge, the second differential pressure water level gauge, and the third differential pressure water level gauge detect the water levels at corresponding positions respectively, and transmit the detection results to the data processing module, and the data processing module determines the actual water level in the drum according to the detected data. Before performing the actual water level detection, the data processing module analyzes the water levels at corresponding positions detected by the first differential pressure water level gauge, the second differential pressure water level gauge, and the third differential pressure water level gauge to determine whether there is a fault in each differential pressure water level gauge; When the intelligent drum water level measurement and correction system is used for water level detection, the first differential pressure water level gauge collects the water level A1 at the first position, the second differential pressure water level gauge collects the water level A2 at the second position, and the third differential pressure water level gauge collects the water level A3 at the third position. Each of the differential pressure water level gauges transmits the measured data to the data processing module. The data processing module calculates the drum water level measurement value A, A=(A1×a1+ A2×a2+ A3×a3)÷3, wherein a1 is the compensation parameter calculated by the first position water level A1 for the drum water level measurement value, a2 is the compensation parameter calculated by the second position water level A2 for the drum water level measurement value, and a3 is the compensation parameter calculated by the third position water level A3 for the drum water level measurement value; Before calculating the actual water level, the data processing module determines the first position water level A1, the second position water level A2, and the third position water level A3 to determine whether each detected water level value is within a reasonable range, thereby determining whether a fault occurs in each differential pressure water level gauge; The data processing module calculates the average Ap of the water level A1 at the first position, the water level A2 at the second position, and the water level A3 at the third position, where Ap=(A1+A2+A3)÷3. The data processing module calculates the difference ΔA1 between the water level at the first position and the average, ΔA2 between the water level at the second position and the average, and ΔA3 between the water level at the third position and the average, where ΔA1=|A1-Ap|, ΔA2=|A2-Ap|, and ΔA3=|A3-Ap|. The data processing module is provided with a first preset difference evaluation parameter B1, a second preset difference evaluation parameter B2, and a third preset difference evaluation parameter B3; The data processing module compares the difference ΔA1 between the first position water level and the average with the first preset difference evaluation parameter B1. When ΔA1>B1, the data processing module determines that the water level detection at the first position is unqualified; When ΔA1≤B1, the data processing module determines that the water level detection at the first position is qualified; The data processing module compares the difference ΔA2 between the second position water level and the average with the second preset difference evaluation parameter B2. When ΔA2>B2, the data processing module determines that the water level detection at the second position is unqualified; When ΔA2≤B2, the data processing module determines that the water level detection at the second position is qualified; The data processing module compares the difference ΔA3 between the water level at the third position and the average with the third preset difference evaluation parameter B3. When ΔA3>B3, the data processing module determines that the water level detection at the third position is unqualified; When ΔA3≤B3, the data processing module determines that the water level detection at the third position is qualified; When the water level detection at any position fails, the data processing module determines that at least one of the first differential pressure water level gauge, the second differential pressure water level gauge, and the third differential pressure water level gauge is faulty. When the water level detections at the three positions are all qualified, the data processing module determines that there is no fault at each differential pressure water level; For the first preset difference evaluation parameter B1, B1=Ap×b1+B, wherein b1 is the first preset difference evaluation parameter calculation compensation value, and B is the difference evaluation parameter base value; For the second preset difference evaluation parameter B2, B2=Ap×b2+B, where b2 is the second preset difference evaluation parameter calculation compensation value, For the third preset difference evaluation parameter B3, B3=Ap×b3+B, wherein b3 is the compensation value calculated by the third preset difference evaluation parameter.

2. The intelligent drum water level measurement and correction system according to claim 1 is characterized in that: The data processing module includes a processor, a power supply and a sealed shell; The processor and the power supply are arranged in the sealed shell; the processor is connected to the power supply, the power supply provides working power for the processor, and the processor is connected to the host computer; The processor includes a data receiving module, a neural network module, a comparison and value taking module and a data output module; The data receiving module is connected to the data acquisition device, receives the data transmitted by the data acquisition device, and processes the field data; the data receiving module is also connected to the neural network module and the comparison and value taking module, and the comparison and value taking module is connected to the neural network module and the data output module.

3. The intelligent drum water level measurement and correction system according to claim 2 is characterized in that: The power supply is an external power supply; the sealed shell is a stainless steel metal shell.

4. The intelligent drum water level measurement and correction system according to claim 3 is characterized in that: The neural network module is an LSTM neural network.

5. The intelligent drum water level measurement and correction system according to claim 1 is characterized in that: The first camera and the second camera are industrial color cameras.

6. The intelligent drum water level measurement and correction system according to claim 1 is characterized in that: The sensor integration includes a drum pressure sensor, a feed water pressure sensor, a feed water flow sensor, a main steam pressure sensor, a main steam flow sensor, and a main steam temperature sensor.

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