Boiler heating surface temperature safety monitoring system adaptive to deep peak regulation

Abstract

The invention discloses a boiler heating surface temperature safety monitoring system adaptive to deep peak regulation, which comprises a boiler, a plurality of fiber grating temperature measurement sensors are arranged on a heating surface of a key area of the boiler, and leading-out pins of the fiber grating temperature measurement sensors are connected to electronic equipment through multi-channel soft optical fibers along a thermotechnical wire duct. The data acquisition terminal is connected with the data acquisition terminal host through the electronic equipment; a three-dimensional modeling system in the data acquisition terminal host constructs a three-dimensional model of the actual temperature of the boiler according to data, and the three-dimensional modeling system comprises a temperature analysis unit and a distance measurement unit. Distributed and real-time monitoring of the temperature of the heating surface of the boiler is realized, and the accuracy and reliability of temperature measurement are greatly improved. The temperature data is visually presented on the three-dimensional model, so that the temperature distribution is clear at a glance, and a worker can quickly position a high-temperature area and find potential safety hazards in time. And meanwhile, long-term stable operation of the sensor in severe environments such as high temperature and high pressure is ensured.

Description

Technical Field

[0001] The invention relates to a safety monitoring technology, and in particular to a boiler heating surface temperature safety monitoring system suitable for deep peak regulation. Background Art

[0002] At present, the measurement of boiler heating surface temperature usually relies on sensors, but the accuracy and stability of sensors directly affect the accuracy of temperature monitoring. For example, although the infrared spectrum detection method can obtain the radiation information of the heating surface through the flame, its implementation requires a large amount of accurate radiation imaging calculations, and it is difficult to determine the energy share of the boiler heating surface reflected by the heating surface, the heating surface scattered by the flame, and the heating surface directly received by the photosensitive element.

[0003] There are many problems in the practical application of boiler heating surface temperature safety monitoring, which are mainly concentrated in the following aspects:

[0004] 1. Boiler temperature control systems usually consist of sensors, controllers and actuators, involving complex control algorithms and hardware configurations. For example, although PID control algorithms are widely used in temperature control, due to the nonlinearity and large inertia of the boiler main steam temperature, traditional PID control is difficult to achieve good results, and it is necessary to add intelligent control strategies for improvement.

[0005] 2. At present, some systems have realized real-time monitoring and early warning of boiler wall temperature, but these systems still have certain limitations. For example, although the real-time monitoring and early warning system can collect temperature data of the furnace wall at different locations and make alarm statistics, its confidence quantification and accurate assessment of over-temperature degree still need to be further optimized.

[0006] 3. With the improvement of boiler steam parameters, the risk of overheating and tube bursting accidents on high-temperature heating surfaces increases, which poses a serious threat to the safe operation of power station units. Therefore, it is particularly important to achieve real-time monitoring and timely alarm of boiler wall temperature. Summary of the invention

[0007] In view of the above-mentioned defects or deficiencies in the prior art, it is desired to provide a boiler heating surface temperature safety monitoring system that is suitable for deep peak regulation.

[0008] According to the technical solution provided in the embodiment of the present application, a boiler heating surface temperature safety monitoring system adapted to deep peak regulation includes a boiler, a plurality of fiber grating temperature sensors are installed on the heating surface of the key area of ​​the boiler, and the lead pins of the fiber grating temperature sensors are connected to the electronic equipment room through a multi-channel soft optical fiber line along the thermal line groove, and are connected to the data acquisition terminal host through the electronic equipment room;

[0009] The three-dimensional modeling system in the data acquisition terminal host constructs a three-dimensional model of the actual temperature of the boiler based on the data. The three-dimensional modeling system includes a temperature analysis unit and a distance measurement unit.

[0010] In the present invention, further, the fiber grating temperature sensor includes a temperature sensor probe, a connecting optical cable, an optical cable connector, and a soft optical fiber line. One end of the temperature sensor probe is connected to the connecting optical cable, and both ends of the optical cable connector are respectively connected to the connecting optical cable and the soft optical fiber line.

[0011] In the present invention, further, the electronic equipment room includes a central processor with Modbus protocol for communicating with the on-site DCS. Temperature data acquisition instrument.

[0012] In the present invention, further, the data acquisition terminal host is a PC server; the PC server has a multi-CPU system, a high-bandwidth system bus, an I / O bus, high-speed computing and online transaction processing (OLTP) capabilities, cluster technology and system fault tolerance.

[0013] In the present invention, further, the three-dimensional modeling system also includes an acquisition unit, a preprocessing unit, a three-dimensional modeling unit, a human-computer interaction unit, an image display unit, and a control unit.

[0014] In the present invention, further, the temperature sensor probe of the fiber grating temperature sensor is installed in a neodymium magnet shell.

[0015] In the present invention, further, the neodymium magnet shell is high in the middle, low on both sides and on the same horizontal line, a mounting hole is opened on one side, and screw mounting holes are opened on both sides of the low side, and a heat insulation layer made of high-temperature resistant ceramic fiber is wrapped around the neodymium magnet shell.

[0016] In the present invention, further, the electronic equipment room also includes a temperature data acquisition instrument, which includes a temperature sensor, a measuring circuit, an amplifying circuit, a linearization circuit, an A / D conversion circuit, a CPU, a memory, an interface circuit, a clock circuit, a radio frequency circuit, and a power supply.

[0017] In the present invention, further, the data acquisition terminal host includes a display, an external input device and a host box, and the display and the external input device are both connected to the port of the host box.

[0018] In the present invention, further, the use steps of the security monitoring system are as follows:

[0019] S1. The fiber Bragg grating temperature sensor is attached to the heating surface of the boiler in the key area. The fiber Bragg grating sensors are led out from the four corners of the furnace wall and connected with multi-channel soft optical fiber lines respectively. The data is transmitted to the electronic equipment room through the optical jumper using the original thermal line trough, and the electronic equipment is connected to the data acquisition terminal host;

[0020] S2. The three-dimensional modeling system in the data acquisition terminal host maps the temperature data collected by the fiber Bragg grating sensor onto the three-dimensional model to achieve real-time rendering and visual display of the temperature field;

[0021] S3. The relationship model between the temperature of the heating surface tube wall and the combustion adjustment is studied through a three-dimensional modeling system. The temperature distribution of the components is closely related to the adjustment of the combustion process. The key positions of the water-cooled wall and the coupling of its temperature state with the heat load distribution in the furnace are studied.

[0022] In summary, the beneficial effects of this application are: distributed and real-time monitoring of the temperature of the boiler heating surface is achieved, greatly improving the accuracy and reliability of temperature measurement. The temperature data is intuitively presented on the three-dimensional model, making the temperature distribution clear at a glance, which is convenient for staff to quickly locate high-temperature areas and promptly discover potential safety hazards. At the same time, it ensures the long-term stable operation of the sensor in harsh environments such as high temperature and high pressure. Finally, by introducing advanced data processing algorithms, intelligent analysis of temperature data is achieved, providing a scientific basis for the operation and maintenance of the boiler. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0024] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0025] Figure 2 Schematic diagram of the structure of the neodymium magnet shell.

[0026] Numbers in the figure:

[0027] Boiler-1; fiber grating temperature sensor-2; electronic equipment-3; data acquisition terminal host-4; neodymium magnet shell-5. DETAILED DESCRIPTION

[0028] The present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It is also necessary to explain that, for ease of description, only the parts related to the invention are shown in the accompanying drawings.

[0029] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0030] like Figure 1 As shown in the figure, a boiler heating surface temperature safety monitoring system suitable for deep peak regulation is based on the fiber Bragg sensing principle. The sensing process based on the fiber Bragg is to obtain sensing information by modulating the fiber Bragg wavelength by external physical parameters. It is a wavelength modulated fiber sensor. Changes in temperature, strain and stress will cause changes in the grating pitch and refractive index of the fiber Bragg, thereby changing the reflection and transmission spectra of the fiber Bragg. The fiber Bragg sensor is a passive sensor. The quartz material used to make the optical fiber has extremely high chemical stability, so the fiber Bragg sensor is not affected by electrostatic interference. The temperature sensitivity of the fiber Bragg is about 0.01nm / ℃, and the resolution is very high. The Bragg wavelength of the fiber Bragg changes with the temperature. The temperature affects the Bragg wavelength due to thermal expansion effect and thermo-optic effect. When the external temperature parameter changes, the change in the Bragg wavelength can be expressed.

[0031] Fiber Bragg grating sensor 2 is a passive sensor. Quartz, the material of optical fiber, has extremely high chemical stability. Fiber Bragg grating sensor is light in weight, small in size, light and soft. A sensor with a diameter of 1mm can write up to 30 temperature measurement points. It is very suitable for installation on the surface of the structure. It has little impact on the measured structure. The measurement result is a more realistic reflection of the structural parameters. It can be used for a long time in an operating environment below 950℃, and is suitable for long-term detection of wall temperature in boiler superheater working conditions. The transmission frequency band is wide, and real-time measurement of large-capacity information can be performed. Data collection can be achieved 3-2000 times per second, which is conducive to the capture and analysis of temperature data. Its structure mainly includes a temperature sensor probe, a connecting optical cable, an optical cable connector, and a soft optical fiber line. One end of the temperature sensor probe is connected to the connecting optical cable, and the two ends of the optical cable connector are respectively connected to the connecting optical cable and the soft optical fiber line. Fiber Bragg grating sensor 2 is attached to the heating surface of the boiler in the key area to collect the temperature of the heating surface pipe wall.

[0032] The lead pins of the fiber grating temperature sensor 2 are connected to the electronic device 3 through a multi-channel soft optical fiber line along the thermal line groove, and are connected to the data acquisition terminal host 4 through the electronic device 3. At the same time, the collected data is also transmitted to the three-dimensional modeling system of the data acquisition terminal host 4.

[0033] Among them, a temperature data acquisition instrument is built into the electronic equipment room to collect boiler temperature information. At the same time, a central processor is installed in the electronic equipment room, which has Modbus protocol to communicate with the on-site DCS. The central processor is connected to the monitoring center. The monitoring center serves as the convergence point of the front-end equipment, configures and manages the front-end equipment, receives temperature and other information reported by the front-end equipment, and satisfies the monitoring platform users' video, temperature information viewing, and equipment control. The server used to store information is uniformly a PC server; the server should have a multi-CPU system, a high-bandwidth system bus, an I / O bus, high-speed computing and online transaction processing (OLTP) capabilities, cluster technology and system fault tolerance.

[0034] The temperature data acquisition instrument includes a temperature sensor, a measuring circuit, an amplifying circuit, a linearizing circuit, an A / D conversion circuit, a CPU, a memory, an interface circuit, a clock circuit, a radio frequency circuit, and a power supply.

[0035] The structure of the temperature data logger mainly includes the following parts:

[0036] Temperature sensor: responsible for sensing temperature changes and converting them into electrical signals. Common temperature sensors include DS18B20, etc.

[0037] Measurement circuit: amplifies and linearizes the output signal of the temperature sensor for subsequent processing.

[0038] Amplifier circuit: amplifies the signal output by the measuring circuit to increase the signal strength.

[0039] Linearization circuit: Converts nonlinear signals into linear outputs for easy processing and analysis.

[0040] A / D conversion circuit: converts analog signals into digital signals for easy computer processing.

[0041] CPU: responsible for data processing and control, executing program instructions, and performing data calculation and processing.

[0042] Memory: used to store the collected temperature data and other related information.

[0043] Interface circuit: realize communication with external devices, such as RS485 interface, etc.

[0044] Clock circuit: provides a time reference to ensure the timing accuracy of data.

[0045] Radio frequency circuit: used for wireless data transmission.

[0046] Power supply: Provides power to the entire instrument, which can be AC, DC or battery powered.

[0047] The 3D modeling system constructs a 3D model of the actual temperature of the boiler from the data. The 3D modeling system includes a temperature analysis unit, a distance measurement unit, an acquisition unit, a preprocessing unit, a 3D modeling unit, a human-computer interaction unit, an image display unit, and a control unit. At the same time, the 3D modeling system should display detailed attribute information of the corresponding metal pipe, including but not limited to attribute data, picture materials, and electronic construction drawings, so as to realize the comprehensive visualization display of the model and data, as well as the comprehensive visualization management operation of the boiler.

[0048] The 3D modeling system combines the real-time operating parameters of the boiler to perform 1:1 scale modeling of the boiler, realizing a 3D visual display of the boiler. The 3D visualization management module supports the interconnection of basic inventory information of the heating surface, maintenance record information, explosion accident information, metal wall temperature monitoring information, degradation analysis information and other data.

[0049] The 3D modeling system mines, organizes, studies and comprehensively analyzes the design data, historical data and real-time data of the boiler metal tube wall based on the "mechanism + data + experience" three-in-one intelligent algorithm, and formulates wall thickness reduction models for different heating surfaces, heating areas, and wear of each furnace tube, so as to realize online monitoring of wear trends and provide risk warnings; establishes corresponding degradation models for different working environments and material properties of each high-temperature tube screen of the superheater and reheater, and comprehensively calculates the phased life loss value of the metal tubes of each heating surface by linking the changes in data such as wall thickness and thinning rate in the maintenance ledger, and conducts risk sorting and early warning prompts to assist the scientific management of power plants, improve the accuracy and planning of maintenance and tube replacement, and improve the reliability of boiler operation. At the same time, the temperature threshold is set in the 3D modeling system for temperature alarm linkage.

[0050] Through the above three-dimensional modeling system, the relationship model between the temperature of the heating surface tube wall and the combustion adjustment can be studied. The temperature distribution of the components is closely related to the adjustment of the combustion process. The key positions of the water-cooled wall are studied, and its temperature state is coupled with the heat load distribution in the furnace. The influence of combustion adjustment, such as fuel ratio, air supply volume and burner layout, on the temperature of the water-cooled wall is studied to reduce the occurrence of gas field conditions such as water-cooled wall overheating and high-temperature corrosion. The relationship between the temperature state of key heat exchange components such as superheaters and reheaters and the quality of steam and the efficiency of the boiler is studied. Combined with combustion adjustment, the temperature change law of the components is analyzed. The influence of changing the position of the flame center in the furnace by adjusting the position and angle of the burner on the heating of the superheater and reheater is studied, thereby changing its temperature distribution. Combustion adjustment will also affect the flue gas flow in the furnace, including the speed and flow direction of the flue gas. The corresponding mathematical model is established. It can describe the influence of various parameters in the combustion process on the temperature of the water-cooled wall high heat load area, superheater and reheater. Through experimental research, numerical simulation and data analysis, a large amount of experimental data is obtained to verify and optimize these models. The model can show the relationship between the combustion process and component temperature, providing theoretical support for optimizing combustion adjustment and improving boiler efficiency and safety.

[0051] In this solution, since the temperature sensor probe of the fiber grating temperature sensor 2 is located on a high-temperature boiler, it is installed in the neodymium magnet shell 5 for easy installation. The neodymium magnet shell 5 is high in the middle and low on both sides and on the same horizontal line. A mounting hole is opened on one side, and screw mounting holes are opened on both sides of the low side. A heat insulation layer made of high-temperature resistant ceramic fiber is wound on the neodymium magnet shell 5, and the heat insulation layer can extend the service life of the neodymium magnet shell 5. Since high temperature will cause the magnetic field to weaken, the neodymium magnet shell 5 needs to be replaced regularly.

[0052] In this solution, the 3D modeling system is obtained through procurement.

[0053] The above description is only an explanation of the preferred embodiments of the present application and the technical principles and other schemes used. At the same time, the scope of the invention involved in the present application is not limited to the technical scheme formed by a specific combination of the above technical features, but also should cover other technical schemes formed by any combination of the above technical features or their equivalent features without departing from the inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present application (but not limited to) by each other to form a technical scheme.

Claims

1. A boiler heating surface temperature safety monitoring system adapted for deep peak regulation, comprising a boiler (1), characterized in that: A plurality of fiber Bragg grating temperature sensors (2) are installed on the heating surface of the key area of ​​the boiler (1), and the lead pins of the fiber Bragg grating temperature sensors (2) are connected to the electronic equipment room (3) along the thermal line groove through a multi-channel soft optical fiber line, and are connected to the data acquisition terminal host (4) through the electronic equipment room (3); The three-dimensional modeling system in the data acquisition terminal host (4) constructs a three-dimensional model of the actual temperature of the boiler based on the data. The three-dimensional modeling system includes a temperature analysis unit and a distance measurement unit.

2. The boiler heating surface temperature safety monitoring system adapted to deep peak load regulation according to claim 1 is characterized in that: The fiber grating temperature sensor (2) comprises a temperature sensor probe, a connecting optical cable, an optical cable connector, and a soft optical fiber line. One end of the temperature sensor probe is connected to the connecting optical cable, and the two ends of the optical cable connector are respectively connected to the connecting optical cable and the soft optical fiber line.

3. The boiler heating surface temperature safety monitoring system adapted to deep peak load regulation according to claim 1 is characterized in that: The electronic equipment room (3) includes a central processor with Modbus protocol for communication with the on-site DCS. Temperature data acquisition instrument.

4. The boiler heating surface temperature safety monitoring system adapted to deep peak load regulation according to claim 1 is characterized in that: The data acquisition terminal host (4) is a PC server; PC servers have multi-CPU systems, high-bandwidth system buses, I / O buses, high-speed computing and online transaction processing (OLTP) capabilities, cluster technology and system fault tolerance.

5. The boiler heating surface temperature safety monitoring system adapted to deep peak load regulation according to claim 1 is characterized in that: The three-dimensional modeling system also includes a collection unit, a preprocessing unit, a three-dimensional modeling unit, a human-computer interaction unit, an image display unit, and a control unit.

6. The boiler heating surface temperature safety monitoring system adapted to deep peak load regulation according to claim 1 is characterized by: The temperature sensor probe of the fiber optic Bragg grating temperature sensor (2) is installed in the neodymium magnet shell (5).

7. The boiler heating surface temperature safety monitoring system adapted to deep peak load regulation according to claim 6 is characterized by: The neodymium magnet shell (5) is high in the middle and low on both sides and on the same horizontal line. A mounting hole is opened on one side and screw mounting holes are opened on both sides of the low side. A heat insulation layer made of high-temperature resistant ceramic fiber is wound on the neodymium magnet shell (5).

8. The boiler heating surface temperature safety monitoring system adapted to deep peak load regulation according to claim 1 is characterized by: The electronic equipment room (3) also includes a temperature data acquisition instrument, which includes a temperature sensor, a measuring circuit, an amplifying circuit, a linearizing circuit, an A / D conversion circuit, a CPU, a memory, an interface circuit, a clock circuit, a radio frequency circuit, and a power supply.

9. The boiler heating surface temperature safety monitoring system adapted to deep peak load regulation according to claim 1 is characterized by: The data acquisition terminal host comprises a display, an external input device and a host box, and the display and the external input device are both connected to the ports of the host box.

10. The boiler heating surface temperature safety monitoring system adapted to deep peak load regulation according to claim 1 is characterized in that: The steps for using the security monitoring system are as follows: S1. The fiber Bragg grating temperature sensor (2) is attached to the heating surface of the boiler in the key area. The fiber Bragg grating sensor (2) is led out from the four corners of the furnace wall and connected with multi-channel soft optical fiber lines respectively. The data is transmitted to the electronic equipment room through the optical jumper by using the original thermal line trough. The electronic equipment is connected to the data acquisition terminal host; S2. The three-dimensional modeling system in the data acquisition terminal host maps the temperature data collected by the fiber Bragg grating sensor onto the three-dimensional model to achieve real-time rendering and visual display of the temperature field; S3. The relationship model between the temperature of the heating surface tube wall and the combustion adjustment is studied through a three-dimensional modeling system. The temperature distribution of the components is closely related to the adjustment of the combustion process. The key positions of the water-cooled wall and the coupling of its temperature state with the heat load distribution in the furnace are studied.

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