System for monitoring coking degree of boiler

Abstract

The embodiment of the invention provides a system for monitoring the coking degree of a boiler, and the system comprises an ultrasonic sensor which is disposed on the wall of the boiler and is used for transmitting an ultrasonic signal; the data acquisition cabinet is electrically connected with the ultrasonic sensor, and the data acquisition cabinet is used for acquiring coking parameters of coking blocks according to the ultrasonic signals transmitted and received by the ultrasonic sensor; and the industrial personal computer is electrically connected with the data acquisition cabinet, and the industrial personal computer determines the coking degree of the coking blocks according to comparison between the coking parameters and a coking threshold value. According to the method, the problems that workers carry out visual pre-judgment on the coking condition in the hearth through the boiler fire observation hole, the manual observation range is small, the personal judgment gap is large, and accurate prediction cannot be achieved can be solved. And the burning of strong fire light to the face of a person and the stabbing injury to eyes are also reduced, and the risk that the person walks back and forth to open and close the fire hole is reduced.

Description

Technical Field

[0001] Embodiments of the present disclosure belong to the technical field of thermal power equipment, and particularly relate to a monitoring system for the degree of boiler slagging. Background Art

[0002] In recent years, with the rapid development of China's social economy, thermal power plants have also developed vigorously, achieving good results and meeting people's power supply needs. The power generation principle of a thermal power plant is to convert thermal energy into mechanical energy and then into electrical energy. A boiler is an indispensable device in the power generation operation of a thermal power plant. The operating efficiency of the boiler directly affects the entire power generation result and must be highly emphasized and cannot be ignored.

[0003] Boiler combustion slagging is harmful, reducing the performance of the boiler and being unfavorable for improving the fuel combustion efficiency. Slagging will increase the superheated steam temperature and easily cause problems such as bursting of steam pipes. Moreover, slagging will also reduce the boiler output and easily lead to the interruption of boiler operation. A large amount of slagging will block the slag ditch, increasing the boiler operation load and shortening the boiler life. When there is a large piece of slagging in the boiler, it is very easy for its gravity to increase and the slag block to fall, which may damage the cold ash hopper water wall. Moreover, excessive slagging will affect the stability of fuel combustion, easily cause flameout in the furnace, increase the number of boiler repairs, significantly shorten the service life of the boiler, and accelerate the aging speed of the boiler. During the operation of the boiler, effective real-time monitoring of furnace slagging can better ensure its combustion efficiency. However, in reality, due to the lack of an online monitoring system, it can only be detected by artificial methods (in production, often only by visually observing the heating surface to monitor the slagging situation). Many boilers cannot be detected after slagging occurs, resulting in an increasing degree of boiler slagging and ultimately affecting the boiler efficiency.

[0004] Therefore, during the power generation process of a thermal power plant, the boiler slagging phenomenon is one of the problems that need to be solved urgently. It is necessary to scientifically analyze the reasons for boiler slagging, clarify the hazards brought by boiler slagging, and take effective measures to prevent and control it in order to improve the operation efficiency of the thermal power plant boiler. Summary of the Invention

[0005] Embodiments of the present disclosure aim to at least solve one of the technical problems existing in the prior art and provide a monitoring system for the degree of boiler slagging.

[0006] In a first aspect of the embodiments of the present disclosure, a monitoring system for the degree of boiler slagging is provided, including: an ultrasonic sensor disposed on the furnace wall of the boiler for emitting ultrasonic signals;

[0007] A data acquisition cabinet electrically connected to the ultrasonic sensor, and the data acquisition cabinet obtains the slagging parameters of the slagging block according to the ultrasonic signals emitted and received by the ultrasonic sensor;

[0008] An industrial control computer, which is electrically connected to the data acquisition cabinet, and the industrial control computer determines the coking degree of the coking block according to the comparison between the coking parameters and the coking threshold.

[0009] Optionally, the coking parameters include the coking thickness, coking diameter, and coking area of the coking block.

[0010] Optionally, the coking parameter includes the coking thickness of the coking block; the data acquisition cabinet obtains the corresponding timestamp information according to the ultrasonic signals transmitted and received by the ultrasonic sensor, and calculates the thickness of the coking block according to the time difference method.

[0011] Optionally, the coking threshold is a numerical range set based on historical coking parameters or coking experiment results.

[0012] Further, it further includes: a front cabinet, which is electrically connected to the ultrasonic sensor and the data acquisition cabinet respectively, and the front cabinet is used to control the working state of the ultrasonic sensor.

[0013] Optionally, the front cabinet includes a control unit and a communication unit. The control unit is electrically connected to the ultrasonic sensor and is used to control the working state of the ultrasonic sensor;

[0014] The communication unit is communicatively connected to the control unit, the ultrasonic sensor, and the data acquisition cabinet respectively;

[0015] Wherein, the data acquisition cabinet obtains the ultrasonic signals transmitted and received by the ultrasonic sensor and the corresponding timestamp information through the communication unit, and calculates the thickness of the coking block according to the timestamp information and the time difference method.

[0016] Optionally, there is one front cabinet; there are multiple ultrasonic sensors, and multiple ultrasonic sensors are all electrically connected to the front cabinet; multiple ultrasonic sensors are arranged at intervals along the circumferential direction of the furnace wall.

[0017] Optionally, there are multiple ultrasonic sensors, and multiple ultrasonic sensors are arranged at intervals along the circumferential direction of the furnace wall; there are multiple front cabinets, and each front cabinet is electrically connected to one or more ultrasonic sensors.

[0018] In the second aspect of the embodiments of the present disclosure, a method for monitoring the coking degree of a boiler is provided. The monitoring method is implemented according to the above-mentioned monitoring system for the coking degree of a boiler, and includes:

[0019] Using an ultrasonic sensor to emit ultrasonic signals to the furnace wall of the boiler;

[0020] Obtain the coking parameters of the coking block according to the ultrasonic signals transmitted and received by the ultrasonic sensor;

[0021] Determine the coking degree of the coking block according to the comparison between the coking parameters and the coking threshold.

[0022] Optionally, the obtaining the coking parameters of the coking block according to the ultrasonic signals transmitted and received by the ultrasonic sensor includes:

[0023] Obtain the corresponding timestamp information according to the ultrasonic signals transmitted and received by the ultrasonic sensor;

[0024] Calculate the thickness of the coking block according to the timestamp information by using the time difference method.

[0025] The beneficial effects of the embodiments of the present disclosure include:

[0026] In the present invention, it is possible to avoid workers visually inspecting the coking situation inside the furnace through the boiler sight hole, and problems such as small manual observation range, large blind area, inaccurate judgment, high subjective awareness judgment, different observation situations for each person, different judgments, large artificial judgment gaps, and inability to achieve accurate judgment. It also reduces the roasting of the personnel's face by strong firelight and the stabbing of the eyes, and reduces the risk of personnel walking back and forth and opening and closing the sight hole. Description of the Drawings

[0027] Figure 1 It is a schematic structural diagram of a monitoring system for the coking degree of a boiler according to an embodiment of the present disclosure;

[0028] Figure 2 It is a schematic flow diagram of a monitoring method for the coking degree of a boiler according to another embodiment of the present disclosure. Detailed Embodiments

[0029] To enable those skilled in the art to better understand the technical solutions of the present disclosure, the present disclosure will be further described in detail below in conjunction with the drawings and specific embodiments.

[0030] The following further describes the implementation manners of the present application in conjunction with the accompanying drawings and embodiments. The detailed descriptions and drawings of the following embodiments are used to exemplarily illustrate the principles of the present application, but cannot be used to limit the scope of the present application, that is, the present application is not limited to the described embodiments. In the description of the present application, it should be noted that unless otherwise stated, the meaning of "a plurality of" is two or more; the orientation or positional relationships indicated by the terms "upper", "lower", "left", "right", "inner", "outer", etc. are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present application. In addition, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. "Vertical" is not strictly vertical, but within the allowable error range. "Parallel" is not strictly parallel, but within the allowable error range.

[0031] In the description of the present application, it should also be noted that unless otherwise clearly defined 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 directly connected, or indirectly connected through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations.

[0032] As Figure 1 shown, a monitoring system for the coking degree of a boiler, the system includes an ultrasonic sensor, a front cabinet, a data acquisition cabinet, and an industrial control computer.

[0033] The ultrasonic sensor is arranged on the furnace wall of the boiler for emitting ultrasonic signals. The data acquisition cabinet is electrically connected to the ultrasonic sensor, and the data acquisition cabinet obtains the coking parameters of the coking block according to the ultrasonic signals emitted and received by the ultrasonic sensor. The industrial control computer is electrically connected to the data acquisition cabinet, and the industrial control computer determines the coking degree of the coking block according to the comparison between the coking parameters and the coking threshold.

[0034] In the present invention, it can avoid the problem that workers visually inspect the coking situation inside the furnace through the boiler sight hole, and the manual observation range is small, the blind area is large, the judgment is inaccurate, the subjective consciousness judgment is high, the observation situations of each person are different, the judgments are different, the artificial judgment gap is large, and accurate judgment cannot be achieved. It also reduces the roasting of the strong fire on the face of the personnel and the stabbing of the eyes, and reduces the risk of personnel walking back and forth and then opening and closing the sight hole.

[0035] Furthermore, the system of the present invention can help the operating personnel to make a quick response, judge the current coking degree of the boiler water wall system, so as to assist the operating personnel to concentrate on purging the coking blocks in a certain area, thereby enabling the unit to burn more stably and improving the combustion efficiency of the boiler.

[0036] Furthermore, by monitoring the degree of coking, it can play a role in safety monitoring for the deep peak shaving of the unit, be able to give the heat transfer limiting factors of the water wall, assist in the safety monitoring of stable combustion at low load of the boiler and the safety monitoring of boiler water dynamics and heating surfaces, and play an auxiliary role in the assessment and judgment of the deep peak shaving life of the unit.

[0037] In some embodiments, the data acquisition cabinet is connected to the ultrasonic sensor by a signal cable, and the industrial control computer is connected to the data acquisition cabinet by a communication cable.

[0038] In some embodiments, the coking parameters include but are not limited to the coking thickness, coking diameter, coking density, and coking area of the coking block. The coking threshold is a specific numerical range set based on historical coking parameters or coking experiment results.

[0039] In some embodiments, the coking parameter includes the coking thickness of the coking block; the data acquisition cabinet obtains the corresponding timestamp information according to the ultrasonic signals transmitted and received by the ultrasonic sensor, and calculates the thickness of the coking block according to the time difference method.

[0040] In some embodiments, the monitoring system further includes a front cabinet, which is electrically connected to the ultrasonic sensor and the data acquisition cabinet respectively, and the front cabinet is used to control the working state of the ultrasonic sensor.

[0041] In some embodiments, the front cabinet is connected to the ultrasonic sensor and the data acquisition cabinet by signal cables respectively.

[0042] In some embodiments, the front cabinet includes a control unit and a communication unit. The control unit is electrically connected to the ultrasonic sensor and is used to control the working state of the ultrasonic sensor.

[0043] The communication unit is communicatively connected to the control unit, the ultrasonic sensor, and the data acquisition cabinet respectively. The front cabinet collects the real-time ultrasonic information collected by the ultrasonic sensor through the communication unit, and sends the real-time ultrasonic information to the data acquisition cabinet through the communication unit.

[0044] In the present invention, the front cabinet is subdivided into a control unit and a communication unit, making the architecture of the entire system more modular. It not only simplifies the hardware structure but also improves the maintainability and upgrade convenience of the system. If it is necessary to update the communication protocol or improve the control algorithm, the corresponding unit can be upgraded independently without affecting other parts.

[0045] In some embodiments, the control unit is connected to the ultrasonic sensor by a signal cable.

[0046] In some embodiments, the control unit is used to control the real-time start / stop state and parameter adjustment of the ultrasonic sensor. Specifically, the control unit performs real-time state control on the ultrasonic sensor according to the control instructions issued by the industrial control computer, and also performs parameter adjustment. Further, according to the actual detection requirements, the front cabinet can receive instructions from the industrial control computer in the centralized control room through the communication unit, and dynamically adjust the working parameters of the ultrasonic sensor, such as the emission frequency, pulse width, etc., to optimize the detection effect.

[0047] In some embodiments, there is one front cabinet and multiple ultrasonic sensors. The multiple ultrasonic sensors are all electrically connected to the front cabinet, and the multiple ultrasonic sensors are arranged at intervals along the circumferential direction of the furnace wall. Specifically, the multiple ultrasonic sensors are all connected to the front cabinet through signal cables.

[0048] In the present invention, a single front cabinet is adopted to centrally manage multiple ultrasonic sensors, reducing the number of hardware components and connection complexity. This design not only reduces the overall cost of the system, but also improves the convenience of installation and maintenance.

[0049] Since all the ultrasonic sensors on the same side are connected to the same front cabinet, and the ultrasonic waves on different sides are connected to the same data sampling cabinet, it is ensured that multiple ultrasonic sensors can be synchronously and real-time monitored and their parameters adjusted, thus ensuring the time synchronization and spatial consistency of the collected data, which is beneficial to accurately evaluating the coking degree of the coking mass.

[0050] In addition, the multiple ultrasonic sensors are arranged at intervals along the circumferential direction of the furnace wall. This layout method can comprehensively cover different positions inside the boiler, provide more complete and uniform data sampling, and help to more accurately reflect the overall distribution of the coking situation in the boiler, avoiding misjudgment caused by local blind spots.

[0051] In some embodiments, there are multiple ultrasonic sensors, the multiple ultrasonic sensors are arranged at intervals along the circumferential direction of the furnace wall, and there are multiple front cabinets. Each front cabinet is electrically connected to one or more ultrasonic sensors. Specifically, each front cabinet is connected to one or more ultrasonic sensors through signal cables.

[0052] In the present invention, each front cabinet is responsible for managing and coordinating one or more ultrasonic sensors connected to it, and can more finely adjust the working parameters of each sensor to ensure the best performance. In addition, the distributed control system reduces the impact of a single node failure on the entire system, and improves the stability and accuracy of data collection.

[0053] The multiple front cabinets can disperse the processing tasks and avoid overloading of a single front cabinet, which not only improves the response speed of the system, but also extends the service life of the equipment. At the same time, the computing resources can be flexibly allocated according to actual needs to further improve the work efficiency.

[0054] The present invention provides the following specific examples, including:

[0055] A monitoring system for the coking degree of a boiler, which is used to monitor the coking degree of coking blocks during the boiler combustion process, so as to enable more accurate and targeted purging during boiler purging. The system includes: an ultrasonic sensor for detecting the furnace wall coking body, a front cabinet, a data acquisition cabinet, an industrial control computer, and signal cables and power supply lines connected between the ultrasonic sensor and the front cabinet, between the front cabinet and the data acquisition cabinet, and between the data acquisition cabinet and the industrial control computer in the centralized control room.

[0056] The monitoring system further includes a power supply device for supplying power to the ultrasonic sensor, the front cabinet, the data acquisition cabinet and the industrial control computer. The monitoring system collects ultrasonic data of the coking blocks on the inner wall of the boiler through the ultrasonic sensor, and the industrial control computer determines the coking degree of the furnace wall according to the comparison and analysis of the coking parameters and the coking threshold, so as to control the purging device to purge the coking layer on the inner wall of the boiler according to the analysis result.

[0057] The main factors for coking formation include:

[0058] 1), Ash content. The higher the ash content, the higher the coking. Generally, the ash content of coking coal is required to be below 10%. The property of ash. The higher the melting point of ash, the less likely it is to coke. On the contrary, the lower the melting point, the more likely it is to coke.

[0059] 2), Insufficient air. The composition of the surrounding medium also has a great influence on coking. During the combustion process, due to insufficient air supply or poor mixing of fuel and air, the fuel fails to achieve complete combustion. Incomplete combustion will produce reducing gases, and the melting point of ash will be greatly reduced.

[0060] 3), Improper operation. It causes the flame to deflect or the primary and secondary air ratios to be unreasonable. The primary air velocity is too high, and the particles fail to burn completely, and adhere to the heating surface in a high-temperature softening state and continue to burn, thus forming coking.

[0061] 4), Excessive volumetric heat load of the furnace. The boiler operates beyond its rated capacity, the furnace temperature is too high. When the ash particles reach the water-cooled wall surface and the furnace outlet, they cannot be cooled sufficiently, resulting in coking.

[0062] 5), Delayed soot blowing and coke removal, resulting in an increase in the wall temperature of the heating surface, thus causing severe coking on the heating surface.

[0063] Furthermore, the coking parameters include: coking thickness T, coking diameter φ, and coking area S.

[0064] Reference Figure 1, there are four front cabinets, including the first front cabinet 1, the second front cabinet 2, the third front cabinet 3, and the fourth front cabinet 4. There are A1 - A10 ultrasonic sensors arranged on the front side of the furnace wall of the boiler 8, and all are electrically connected to the front cabinet 1 through signal cables. There are B1 - B10 ultrasonic sensors arranged on the rear side of the furnace wall of the boiler, and all are electrically connected to the rear cabinet 2 through signal cables. There are C1 - C5 ultrasonic sensors arranged on the rear side of the furnace wall of the boiler, and all are electrically connected to the left cabinet 3 through signal cables. There are D1 - D5 ultrasonic sensors arranged on the right side of the furnace wall of the boiler, and all are electrically connected to the right cabinet 4 through signal cables.

[0065] The coking parameters corresponding to the ultrasonic sensors A1 - A10 include:

[0066] The thicknesses of the coking blocks Ta1, Ta2, Ta3, Ta4, Ta5, Ta6, Ta7, Ta8, Ta9, Ta10. The diameters of the coking blocks φa1, φa2, φa3, φa4, φa5, φa6, φa7, φa8, φa9, φa10. The areas of the coking blocks Sa1, Sa2, Sa3, Sa4, Sa5, Sa6, Sa7, Sa8, Sa9, Sa10.

[0067] The coking parameters corresponding to the ultrasonic sensors B1 - B10 include:

[0068] The thicknesses of the coking blocks Tb1, Tb2, Tb3, Tb4, Tb5, Tb6, Tb7, Tb8, Tb9, Tb10. The diameters of the coking blocks φb1, φb2, φb3, φb4, φb5, φb6, φb7, φb8, φb9, φb10. The areas of the coking blocks Sb1, Sb2, Sb3, Sb4, Sb5, Sb6, Sb7, Sb8, Sb9, Sb10.

[0069] The coking parameters corresponding to the ultrasonic sensors C1 - C5 include:

[0070] The thicknesses of the coking blocks Tc1, Tc2, Tc3, Tc4, Tc5. The diameters of the coking blocks φc1, φc2, φc3, φc4, φc5. The areas of the coking blocks Sc1, Sc2, Sc3, Sc4, Sc5.

[0071] The coking parameters corresponding to the ultrasonic sensors D1 - D5 include:

[0072] The thicknesses of the coking blocks Td1, Td2, Td3, Td4, Td5. The diameters of the coking blocks φd1, φd2, φd3, φd4, φd5. The areas of the coking blocks Sd1, Sd2, Sd3, Sd4, Sd5.

[0073] (4) Control the data acquisition process of the sampling cabinet.

[0074] First, after the furnace is repaired and the coking blocks in the furnace are cleaned up. Install ultrasonic sensors A1 - A10, ultrasonic sensors B1 - B10, ultrasonic sensors C1 - C5, and ultrasonic sensors D1 - D5 on the furnace walls on all four sides of the furnace. Start the system, and control the corresponding ultrasonic sensors through the first front cabinet 1 - the fourth front cabinet 4 to detect the coking blocks at their respective positions. The first front cabinet 1 - the fourth front cabinet 4 transmit the collected real - time ultrasonic information to the data acquisition cabinet 6 through the signal cable 5 and the RS - 485 communication interface. The data acquisition cabinet 6 obtains the coking parameters of the coking blocks based on the real - time ultrasonic information, and transmits the coking information to the industrial control computer 7 in the centralized control room through the optical fiber. The industrial control computer 7 in the centralized control room determines the coking degree of the coking blocks according to the comparison between the coking parameters and the coking threshold.

[0075] At this time, because the furnace is just in the situation of waiting to start up after the coking blocks have been cleaned during the repair, when observing the coking parameters on the display screen of the data acquisition cabinet, such as the coking thickness T, the coking diameter φ, and the coking area S, they are all near the dynamic value of 0. Similarly, all the data seen on the display screen of the industrial control computer in the centralized control room also fluctuate around 0.

[0076] Secondly, after the furnace is started and ignited and is in the initial running state, it can be observed that all the data that were previously at 0 on both the display screen of the data acquisition cabinet and the display screen of the industrial control computer in the centralized control room start to have upward floating or slight movement changes.

[0077] Then, after the started furnace has run for some time, it will be found that the data collected by each ultrasonic sensor in the front, rear, left, and right of the furnace will be different on the display screen of the data acquisition cabinet and the display screen of the industrial control computer in the centralized control room. According to the coking data, it can be judged which area on - site has more serious coking and which area has less serious coking. At this time, the operating personnel in the centralized control room can turn on the soot blower with obvious coking for targeted purging. After the purging is completed, observe whether the data at the place with obvious coking on the display screen of the industrial control computer in the centralized control room has changed, whether the coking has been cleaned or removed. Whether the data of the coking thickness T, diameter φ, and area S have decreased.

[0078] Finally, at different loads, the parameters on the display screen of the industrial control computer can be observed to be used for statistical analysis of the obviousness of the coking areas at different loads and the coking degrees of different areas at the same load.

[0079] By collecting the coking parameter data of the coking blocks in the furnace and analyzing the coking degree, the data analysis of the coking blocks can show which area the coking in the furnace is concentrated in, so that the operating personnel can accurately perform soot blowing, and it can also be used for further analysis of the reasons for the bursting of the water - cooled wall in the furnace and the impact of coking on the life of the entire unit.

[0080] In the present invention, during the normal operation of the boiler, the monitoring system plays an auxiliary role in judging the degree of fouling on the water-cooled wall of the boiler. For the operating personnel, it can concentrate on blowing and cleaning the fouling in a certain area. This prevents the blindness of the soot blower for blowing and cleaning at fixed times and locations, and the blowing and cleaning has no pertinence. Moreover, it helps the operating personnel to accurately adjust the operating combustion unit.

[0081] For some old units that were put into production early and have been in operation for a long time, it is relatively more necessary to establish a boiler combustion heat transfer and mass transfer model, study the coupling relationship between the calorific value and heat dissipation of boiler combustion and the combustion stability of the boiler. Deeply study the combustion stability theory, carry out combustion numerical simulation and on-site tests, which has certain reference significance for the influencing factors of the wall temperature parameters at the back-fire side and the fire-side focus of the boiler water-cooled wall.

[0082] Reference Figure 2 , the present invention provides a monitoring method for the degree of boiler fouling. The monitoring method is implemented according to the above-mentioned monitoring system for the degree of boiler fouling, and includes:

[0083] S101. Use an ultrasonic sensor to emit ultrasonic signals to the furnace wall of the boiler.

[0084] S102. Obtain the fouling parameters of the fouling block according to the ultrasonic signals emitted and received by the ultrasonic sensor.

[0085] S103. Determine the degree of fouling of the fouling block according to the comparison between the fouling parameters and the fouling threshold.

[0086] In some embodiments, obtaining the fouling parameters of the fouling block according to the ultrasonic signals emitted and received by the ultrasonic sensor in step S102 includes:

[0087] S1021. Obtain the corresponding timestamp information according to the ultrasonic signals emitted and received by the ultrasonic sensor.

[0088] S1022. Calculate the thickness of the fouling block according to the timestamp information by using the time difference method.

[0089] It can be understood that the above embodiments are only exemplary embodiments adopted to illustrate the principle of the present disclosure. However, the present disclosure is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and essence of the present disclosure, and these modifications and improvements are also regarded as the protection scope of the present disclosure.

Claims

1. A monitoring system for the degree of boiler slagging, characterized in that Including: An ultrasonic sensor disposed on the furnace wall of the boiler for emitting ultrasonic signals; A data acquisition cabinet electrically connected to the ultrasonic sensor, and the data acquisition cabinet obtains the coking parameters of the coking block according to the ultrasonic signals emitted and received by the ultrasonic sensor; An industrial control computer electrically connected to the data acquisition cabinet, and the industrial control computer determines the coking degree of the coking block according to the comparison between the coking parameters and the coking threshold.

2. The monitoring system for the degree of boiler slagging according to claim 1, characterized in that, The coking parameters include the coking thickness, coking diameter and coking area of the coking block.

3. A monitoring system for the degree of boiler slagging according to claim 1, characterized in that The coking parameters include the coking thickness of the coking block; the data acquisition cabinet obtains the corresponding timestamp information according to the ultrasonic signals emitted and received by the ultrasonic sensor, and calculates the thickness of the coking block by the time difference method.

4. A monitoring system for the degree of boiler slagging according to claim 1, characterized in that, The coking threshold is a numerical range set based on historical coking parameters or coking experiment results.

5. A monitoring system for the degree of boiler coking according to claim 1, characterized in that, It further includes: a front cabinet electrically connected to the ultrasonic sensor and the data acquisition cabinet respectively, and the front cabinet is used to control the working state of the ultrasonic sensor.

6. The monitoring system for the degree of boiler slagging according to claim 5, wherein The front cabinet includes a control unit and a communication unit. The control unit is electrically connected to the ultrasonic sensor and is used to control the working state of the ultrasonic sensor; The communication unit is communicatively connected to the control unit, the ultrasonic sensor and the data acquisition cabinet respectively; Wherein, the data acquisition cabinet obtains the ultrasonic signals emitted and received by the ultrasonic sensor and the corresponding timestamp information through the communication unit, and calculates the thickness of the coking block according to the timestamp information and the time difference method.

7. The monitoring system for the coking degree of a boiler according to claim 5, characterized in that, There is one front cabinet; there are multiple ultrasonic sensors, and multiple ultrasonic sensors are all electrically connected to the front cabinet; multiple ultrasonic sensors are arranged at intervals along the circumferential direction of the furnace wall.

8. A monitoring system for the degree of boiler slagging according to claim 5, characterized in that, There are multiple ultrasonic sensors, and multiple ultrasonic sensors are arranged at intervals along the circumferential direction of the furnace wall; there are multiple front cabinets, and each front cabinet is electrically connected to one or more ultrasonic sensors.

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