Auxiliary system for monitoring operation state of thermal power generating unit

Abstract

A thermal power generating unit operation state monitoring auxiliary system is provided with a data processing system used for collecting and processing data collected by a sensor unit; the data processing system is provided with a data fusion module which is used for performing fusion processing on different sensor data and extracting useful feature data, and the output end of the data fusion module is connected with the data processing system; a micro-processing unit is arranged, the input end of the micro-processing unit is electrically connected with a millimeter wave level meter and a millimeter wave liquid level meter, and the output end of the micro-processing unit is connected with the data fusion module; a data acquisition module is arranged, the input end of the data acquisition module is connected with a radar vibration monitoring module, and the output end of the data acquisition module is connected with the data fusion module; the output end of the data processing system is connected with a prediction analysis module, an upper computer and a mobile terminal.

Description

Technical Field

[0001] The invention relates to the technical field of thermal power plant equipment control, and in particular to an auxiliary system for monitoring the operating status of a thermal power unit. Background Art

[0002] Thermal power plants are important units of energy supply at present, and their safe and stable operation is crucial to social development. However, thermal power plants have many safety hazards in the working environment of high temperature, high pressure and high speed, such as equipment failure and accidents. In order to ensure the safe operation of thermal power plants, an efficient and accurate early warning system must be adopted to detect safety hazards early, take timely countermeasures and prevent accidents.

[0003] The existing thermal power plant monitoring system uses different sensors to collect parameters such as temperature, pressure, vibration, etc. The data collection method is independent. The sensors are exposed to harsh environments such as high dust, high foam, and high steam for a long time, and are prone to aging and failure. In addition, each data is independent, and it is impossible to quickly and uniformly display and analyze the unit operation data. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention proposes a thermal power unit operation status monitoring auxiliary system that uses millimeter wave radar sensors and other sensors to monitor data of thermal power station operation equipment to ensure the safe operation of the thermal power station. The specific technical solution is as follows:

[0005] A thermal power unit operation status monitoring auxiliary system is provided with a data processing system for collecting and processing data collected by a sensor unit;

[0006] A data fusion module is provided, which is used to fuse data from different sensors and extract useful feature data, and the output end of the data fusion module is connected to the data processing system;

[0007] A microprocessing unit is provided, the input end of the microprocessing unit is electrically connected to the millimeter wave level meter and the millimeter wave liquid level meter respectively, and the output end of the microprocessing unit is connected to the data fusion module;

[0008] A data acquisition module is provided, the input end of the data acquisition module is connected to the radar vibration monitoring module, and the output end of the data acquisition module is connected to the data fusion module;

[0009] The output end of the data processing system is respectively connected to a prediction analysis module, a host computer and a mobile terminal.

[0010] As an optimization: the input end of the data fusion module is also connected to a conventional sensor unit for detecting the operating data of the thermal power unit operating system, including temperature, humidity and equipment operating current.

[0011] As an optimization: the radar vibration monitoring module is provided with a radar RF front-end module and an angle reflector module, wherein the radar RF front-end module includes a transmitting link and a receiving link, the data sampling and processing module provides data collection and storage functions, and the frequency synthesis module generates a stable and reliable frequency source for the system;

[0012] The angle reflector module is a three-sided corner reflector.

[0013] As an optimization: the calculation method for the trihedral corner reflector is:

[0014] The maximum reflection cross-sectional area calculation formula of the triangular corner reflector is:

[0015]

[0016] Where a is the edge length of the corner reflector, λ is the radar wavelength, and the calculated radar cross section is expressed in dB:

[0017] σ dB =10log(σ F ).

[0018] As an optimization: the detection method of the millimeter wave level meter and the millimeter wave liquid level meter is;

[0019] The frequency modulated continuous wave emitted by the ranging equipment transmitter is assumed to be:

[0020]

[0021] Where K = B / T, B is the modulation band frame, T is the signal frequency modulation period, then Assume that the initial phase is , and the target distance is set to R. Then the echo signal that the ranging device receiver can receive is:

[0022]

[0023] where τ R =2R / C, C mainly represents the wave speed;

[0024] Mix and filter the transmitted signal and the echo signal to obtain the intermediate frequency output signal

[0025]

[0026] The output intermediate frequency signal frequency is Phase Available Indicates that f0 represents the center frequency of the transmitted signal, and λ represents the wavelength of the transmitted signal;

[0027] Because the "liquid / level" during the liquid / level measurement is in a relatively static state or a slow moving state, the speed term can be directly omitted, and the expression is as follows:

[0028]

[0029] Distance resolution and spectral resolution are Indicates; Set the sampling time equal to the signal modulation period. According to the above two formulas, it can be concluded that the target distance is closely related to the output signal frequency and the output signal. Therefore, when measuring distance, it is recommended to obtain the target distance by estimating the signal frequency, or to obtain the distance by using the phase estimation signal. It is necessary to pay attention to the change in phase, and the change period is generally 2π. Therefore, it is impossible to obtain distance data in the form of direct measurement. The distance change can be obtained by using the phase change. If the initial distance is known, the value of the target distance can also be obtained.

[0030] In the traditional segmented phase difference method of liquid / object level measurement, in order to meet the requirements of high-precision liquid / object level measurement, the signal obtained after segmentation is expanded by M-point FFT processing to change it into M f FFT; under this premise, such as M f >M, it is necessary to fill in zeros; at the same time, after DFT processing, the phase differences x1(n) and x2(n) are obtained, which can be expressed as:

[0031]

[0032] because There is a high probability that it is a non-integer cycle, plus So by calculating the phase difference between x1(n) and x2(n), we can remove the corresponding phase data and obtain the corrected use express.

[0033] The beneficial effects of the present invention are as follows: the new dot matrix imaging millimeter wave liquid / level meter and the new millimeter wave imaging deformation and vibration sensor adopted by the system belong to the passive millimeter wave near-field imaging technology. The imaging distance range of the millimeter wave near-field imaging system is generally from tens of centimeters to several kilometers. Passive millimeter wave near-field imaging technology is a technology that uses a passive millimeter wave radiometer to receive the millimeter wave energy distribution radiated by various objects within the field of view, so as to study their shape, spacing, orientation and other information. The passive millimeter wave imaging system has the characteristics of small size, light weight, simple structure and low cost. The full-power direct detection radiometer has the advantages of low system power consumption, small size and low noise coefficient. It represents the development direction of the radiometer. The present invention is designed based on the power direct detection structure. The accuracy of the relevant new sensing indicators is improved by more than 90% compared with the relevant traditional measurement parameters, so that the digitalization and intelligent coverage of key areas of thermal power units is increased by more than 30%.

[0034] The data from millimeter-wave radar sensors and conventional sensors are combined to collect diverse data, ensuring the reliability of system operation. The system can check the operation status of the thermal power plant through the host computer and mobile terminals, which is efficient and convenient. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0036] The preferred embodiments of the present invention are described in detail below in conjunction with the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present invention.

[0037] like Figure 1As shown: A thermal power unit operation status monitoring auxiliary system is provided, which is provided with a data processing system for collecting and processing data collected by a sensor unit; a data fusion module is provided for fusing different sensor data and extracting useful feature data, and the output end of the data fusion module is connected to the data processing system; a microprocessing unit is provided, and the input end of the microprocessing unit is electrically connected to a millimeter wave level meter and a millimeter wave liquid level meter, respectively, and the output end of the microprocessing unit is connected to the data fusion module; a data acquisition module is provided, and the input end of the data acquisition module is connected to a radar vibration monitoring module, and the output end is connected to the data fusion module; the output end of the data processing system is respectively connected to a prediction analysis module, a host computer and a mobile terminal. The input end of the data fusion module is also connected to a conventional sensor unit for detecting the operation data of the thermal power unit operation system, including temperature, humidity and equipment operation current. The radar vibration monitoring module is provided with a radar RF front-end module and an angle reflector module, wherein the radar RF front-end module includes a transmitting link and a receiving link, the data sampling and processing module provides data collection and storage functions, and the frequency synthesis module generates a stable and reliable frequency source for the system; wherein the angle reflector module is a trihedral angle reflector.

[0038] The calculation method for the trihedral corner reflector is:

[0039] The maximum reflection cross-sectional area calculation formula of the triangular corner reflector is:

[0040]

[0041] Where a is the edge length of the corner reflector, λ is the radar wavelength, and the calculated radar cross section is expressed in dB:

[0042] σ dB =10log(σ F ).

[0043] The millimeter wave level meter and millimeter wave liquid level meter detection method are as follows:

[0044] The frequency modulated continuous wave emitted by the ranging equipment transmitter is assumed to be:

[0045]

[0046] Where K = B / T, B is the modulation band frame, T is the signal frequency modulation period, then Assume that the initial phase is , and the target distance is set to R. Then the echo signal that the ranging device receiver can receive is:

[0047]

[0048] where τ R=2R / C, C mainly represents the wave speed;

[0049] Mix and filter the transmitted signal and the echo signal to obtain the intermediate frequency output signal

[0050]

[0051] The output intermediate frequency signal frequency is Phase Available Indicates that f0 represents the center frequency of the transmitted signal, and λ represents the wavelength of the transmitted signal;

[0052] Because the "liquid / level" during the liquid / level measurement is in a relatively static state or a slow moving state, the speed term can be directly omitted, and the expression is as follows:

[0053]

[0054] Distance resolution and spectral resolution are Indicates; Set the sampling time equal to the signal modulation period. According to the above two formulas, it can be concluded that the target distance is closely related to the output signal frequency and the output signal. Therefore, when measuring distance, it is recommended to obtain the target distance by estimating the signal frequency, or to obtain the distance by using the phase estimation signal. It is necessary to pay attention to the change in phase, and the change period is generally 2π. Therefore, it is impossible to obtain distance data in the form of direct measurement. The distance change can be obtained by using the phase change. If the initial distance is known, the value of the target distance can also be obtained.

[0055] In the traditional segmented phase difference method of liquid / object level measurement, in order to meet the requirements of high-precision liquid / object level measurement, the signal obtained after segmentation is expanded by M-point FFT processing to change it into M f FFT; under this premise, such as M f >M, it is necessary to fill in zeros; at the same time, after DFT processing, the phase differences x1(n) and x2(n) are obtained, which can be expressed as:

[0056]

[0057] because There is a high probability that it is a non-integer cycle, plus So by calculating the phase difference between x1(n) and x2(n), we can remove the corresponding phase data and obtain the corrected use express.

Claims

1. A thermal power unit operation status monitoring auxiliary system, characterized in that: A data processing system is provided for collecting and processing data collected by the sensor unit; A data fusion module is provided, which is used to fuse data from different sensors and extract useful feature data, and the output end of the data fusion module is connected to the data processing system; A microprocessing unit is provided, the input end of the microprocessing unit is electrically connected to the millimeter wave level meter and the millimeter wave liquid level meter respectively, and the output end of the microprocessing unit is connected to the data fusion module; A data acquisition module is provided, the input end of the data acquisition module is connected to the radar vibration monitoring module, and the output end of the data acquisition module is connected to the data fusion module; The output end of the data processing system is respectively connected to a prediction analysis module, a host computer and a mobile terminal.

2. According to claim 1, the auxiliary system for monitoring the operating status of a thermal power unit is characterized in that: The input end of the data fusion module is also connected to a conventional sensor unit for detecting the operating data of the thermal power unit operating system, including temperature, humidity and equipment operating current.

3. The auxiliary system for monitoring the operation status of a thermal power unit according to claim 1 is characterized in that: The radar vibration monitoring module is provided with a radar radio frequency front-end module and an angle reflector module, wherein the radar radio frequency front-end module includes a transmitting link and a receiving link, the data sampling and processing module provides a data collection and storage function, and the frequency synthesis module generates a stable and reliable frequency source for the system; The angle reflector module is a three-sided corner reflector.

4. The auxiliary system for monitoring the operating status of a thermal power unit according to claim 3 is characterized in that: The calculation method for the trihedral corner reflector is: The maximum reflection cross-sectional area calculation formula of the triangular corner reflector is: Where a is the edge length of the corner reflector, λ is the radar wavelength, and the calculated radar cross section is expressed in dB: σ=1010g(σr).

5. The auxiliary system for monitoring the operation status of a thermal power unit according to claim 1 is characterized in that: The millimeter wave level meter and millimeter wave liquid level meter detection method are as follows: The frequency modulated continuous wave emitted by the ranging equipment transmitter is assumed to be: Where K = B / T, B is the modulation band frame, T is the signal frequency modulation period, then Assume that the initial phase is , and the target distance is set to R. Then the echo signal that the ranging device receiver can receive is: where τ R =2R / C, C mainly represents the wave speed; Mix and filter the transmitted signal and the echo signal to obtain the intermediate frequency output signal The output intermediate frequency signal frequency is Phase Available Indicates that f0 represents the center frequency of the transmitted signal, and λ represents the wavelength of the transmitted signal; Because the "liquid / level" during the liquid / level measurement is in a relatively static state or a slow moving state, the speed term can be directly omitted, and the expression is as follows: Distance resolution and spectral resolution are Indicates; Set the sampling time equal to the signal modulation period. According to the above two formulas, it can be concluded that the target distance is closely related to the output signal frequency and the output signal. Therefore, when measuring distance, it is recommended to obtain the target distance by estimating the signal frequency, or to obtain the distance by using the phase estimation signal. It is necessary to pay attention to the change in phase, and the change period is generally 2π. Therefore, it is impossible to obtain distance data in the form of direct measurement. The distance change can be obtained by using the phase change. If the initial distance is known, the value of the target distance can also be obtained. In the traditional segmented phase difference method of liquid / object level measurement, in order to meet the requirements of high-precision liquid / object level measurement, the signal obtained after segmentation is expanded by M-point FFT processing to change it into M f FFT; under this premise, such as M f >M, it is necessary to fill in zeros; at the same time, after DFT processing, the phase differences x1(n) and x2(n) are obtained, which can be expressed as: because There is a high probability that it is a non-integer cycle, plus So by calculating the phase difference between x1(n) and x2(n), we can remove the corresponding phase data and obtain the corrected use express.

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