CN-121978912-A - Power plant coal conveying dust removal control method

Abstract

The invention relates to the technical field of power plant coal conveying environmental protection control, in particular to a power plant coal conveying dust removal control method, which comprises the steps of constructing a coal quality-dust association database, detecting coal quality parameters in real time, collecting coal conveying working condition parameters in real time, initially calculating feedforward control parameters, feeding back dust concentration in real time, dynamically correcting dust removal operation parameters, outputting the operation parameters and performing iterative optimization, introducing coal quality feedforward control logic, calculating the initial operation parameters of dust removal equipment in advance by combining the coal conveying working condition parameters through detecting the coal quality parameters in real time, solving the hysteresis problem existing in the conventional feedback control, timely responding in the early stage of dust generation in large quantity, improving the stability of dust removal effect, and adding abnormal working condition emergency control logic which can timely take emergency measures when the dust concentration approaches a dangerous threshold value, effectively preventing potential safety hazards such as dust explosion and improving the operation safety of a coal conveying system.

Inventors

• ZHANG MIAO
• WANG JUN
• XIA JIXIAN
• GE JIAN
• DU ZHONGGUO
• LIU JINGJING
• LI KUN
• HE HAIBO

Assignees

• 江苏大唐国际如皋热电有限责任公司
• 山东齐利得重工集团有限公司

Dates

Publication Date

20260505

Application Date

20251231

Claims (6)

1. 1. The method for controlling the dust removal of the coal transportation of the power plant is characterized by comprising the following steps of: s1, constructing a coal quality-dust correlation database, namely collecting coal quality parameters, coal conveying working condition parameters and corresponding dust generation amount data of common coal types of a coal conveying system of a power plant, and constructing the coal quality-dust correlation database, wherein the coal quality parameters comprise moisture content, granularity distribution and volatile content; S2, detecting coal quality parameters in real time, namely arranging a coal quality detection module at an original coal inlet of the coal conveying system, and detecting coal entering the coal conveying system in real time to obtain current coal quality parameters including moisture content W, particle size distribution D and volatile content V; S3, collecting coal conveying working condition parameters in real time, namely collecting current coal conveying working condition parameters including coal conveying quantity Q, conveying belt speed v and transfer point fall h in real time through a sensor group of a coal conveying system; S4, primarily calculating feedforward control parameters, namely inputting the current coal quality parameter obtained in the step S2 and the current coal conveying working condition parameter obtained in the step S3 into a coal quality-dust association database, and calculating to obtain a theoretical dust generation amount G corresponding to the current working condition through an interpolation algorithm; P 0 = k 1 ×G / η - k 2 ×Q×v (1) Wherein P 0 is the initial operation parameter of the dust removing equipment, P 0 is the rotating speed of a fan for fan type dust removing equipment, P 0 is the spraying flow for spraying type dust removing equipment, k 1 is the dust quantity-operation parameter correlation coefficient, and k 2 is the coal conveying working condition correction coefficient, which are all obtained through calibration of a coal quality-dust correlation database; S5, carrying out real-time feedback detection on dust concentration, namely arranging a dust concentration sensor in a dust easy-dissipation area of the coal conveying system, and detecting the on-site dust concentration C in real time; S6, dynamically correcting the dust removal operation parameters, namely comparing the dust concentration C detected in real time with a preset dust concentration threshold interval [ C 1 , C 2 ], and dynamically correcting the initial operation parameters P 0 obtained in the step S4: When C is smaller than C 1 , the operation parameters of the current dust removing equipment are strong, energy waste exists, the operation parameters are corrected to be P 1 = P 0 ×(C + C 1 )/(2C 1 ), and the operation strength of the dust removing equipment is reduced; When C 1 ≤ C ≤ C 2 , the current dust removal effect meets the requirement, and the initial operation parameter P 0 is kept unchanged; When C > C 2 , the operation parameters of the current dust removing equipment are insufficient, the dust is removed thoroughly, the operation parameters are corrected to be P 2 = P 0 ×(C + C 2 )/(2C 2 ), and the operation strength of the dust removing equipment is improved; And S7, outputting the operation parameters corrected in the step S6 to corresponding dust removing equipment, controlling the dust removing equipment to operate according to the corrected parameters, feeding back the current coal quality parameters, the coal conveying working condition parameters, the dust concentration detection values and the final operation parameters to a coal quality-dust association database in real time, and performing iterative optimization on the association relation in the database through a machine learning algorithm.
2. 2. The method for controlling the dust removal of the coal transported by the power plant according to claim 1 is characterized in that the actual measurement data of a coal-dust association database is constructed in the step S1, and specifically comprises the steps of selecting N coal types commonly used by the power plant, respectively setting M moisture content gradients, K particle size distribution gradients and L volatile content gradients for each coal type, respectively setting P coal transport gradient, Q conveyor belt speed gradient and R transfer point fall gradient under each coal type combination, collecting dust generation amount under each combination working condition, establishing a coal-dust association database containing NxMxKxLxPxQ x R group data, and carrying out standardized treatment on the data to remove abnormal values.
3. 3. The method for controlling dust removal of coal transported in a power plant according to claim 1, wherein in step S2, the coal quality detection module adopts near infrared spectrum detection and laser granularity analysis technology, and the detection time is less than or equal to 3S.
4. 4. The method for controlling the dust removal of the coal transported by the power plant according to claim 1, wherein the dust concentration sensor in the step S5 is a laser scattering type dust sensor with a sensor periodic self-cleaning module, the detection range is 0.01-1000 mg/m < 3 >, and the detection precision is less than or equal to +/-5%.
5. 5. The method according to claim 1, wherein the preset dust concentration threshold interval [ C 1 , C 2 ] in step S6 is 1.2 times the lower limit of the dust concentration allowed by the environmental standard, and C 2 is 0.8 times the upper limit of the dust concentration allowed by the environmental standard.
6. 6. The method for controlling the dust removal of the coal conveying system of the power plant according to claim 1, further comprising abnormal working condition emergency control logic, wherein the dust concentration C 3 ,C 3 is set to be 0.6 times of the critical concentration of dust explosion, when the dust concentration sensor detects that the dust concentration C is larger than or equal to C 3 , the abnormal working condition is judged, an emergency control instruction is immediately output, the dust removal equipment is controlled to operate at the maximum operation parameter, an audible and visual alarm module is touched at the same time, and a shutdown early warning signal is sent to a coal conveying system control center to prompt a worker to check the reason of the abnormal working condition.

Description

Power plant coal conveying dust removal control method Technical Field The invention relates to the technical field of environmental protection control of coal transportation in a power plant, in particular to a dust removal control method for coal transportation in the power plant. Background The coal conveying system of the power plant is one of the key links of power plant energy supply, and a large amount of dust can be generated in the coal transferring and conveying process, so that the coal conveying system not only can pollute the working environment and harm the health of staff, but also can cause potential safety hazards such as dust explosion, and meanwhile, the dust emission also needs to meet strict environmental protection standards. The current coal conveying and dust removing control of the power plant mostly adopts a fixed parameter control mode, namely, the operation parameters (such as the rotating speed of a fan, the spraying flow and the like) of dust removing equipment are set according to preset single parameters such as the coal conveying amount, the conveying speed and the like, and the influence of the coal quality characteristic on the dust generation amount is not fully considered. In the actual coal conveying process, the moisture content, the particle size distribution and the volatile coal quality parameters of the coal have remarkable fluctuation, and the dust difference generated by different coals under the same coal conveying working condition is large. For example, low moisture, fine particle size coal has a much higher dust escape during transport than high moisture, coarse particle size coal. The existing fixed parameter control mode cannot dynamically adapt to coal fluctuation, so that the dust removal effect is unstable, dust removal is incomplete when the coal dust generation amount is large, environmental protection and safety requirements cannot be met, and dust removal equipment is excessively operated when the coal dust generation amount is small, so that energy waste and equipment loss are caused. In addition, the existing dust removal control is mostly feedback control, namely, the dust concentration sensor detects the on-site dust concentration and then adjusts the operation parameters of dust removal equipment, so that the control hysteresis exists, the early stage of mass dust generation is difficult to respond in time, and the dust removal effect is further influenced. Therefore, a method for controlling coal transportation and dust removal of a power plant, which can realize accurate and advanced control by combining coal characteristics, is needed to solve the problems of unstable dust removal effect, energy waste, control lag and the like in the prior art. Disclosure of Invention Aiming at the problems, the invention provides a power plant coal conveying dust removal control method, which combines real-time working condition parameters with dust feedback detection by introducing coal quality feedforward control logic, realizes dynamic and accurate control of dust removal equipment, improves the stability of dust removal effect, reduces energy consumption and equipment loss, and solves the problems in the background technology. The technical scheme adopted by the invention for solving the technical problems is that the method for controlling the dust removal of the coal transportation of the power plant comprises the following steps: s1, constructing a coal quality-dust correlation database, namely collecting coal quality parameters, coal conveying working condition parameters and corresponding dust generation amount data of common coal types of a coal conveying system of a power plant, and constructing the coal quality-dust correlation database, wherein the coal quality parameters comprise moisture content, granularity distribution and volatile content; S2, detecting coal quality parameters in real time, namely arranging a coal quality detection module at an original coal inlet of a coal conveying system, and detecting coal entering the coal conveying system in real time to obtain current coal quality parameters including moisture content W, particle size distribution D (expressed by particle proportion with particle size less than or equal to 0.1 mm) and volatile content V; S3, collecting coal conveying working condition parameters in real time, namely collecting current coal conveying working condition parameters including coal conveying quantity Q, conveying belt speed v and transfer point fall h in real time through a sensor group of a coal conveying system; S4, primarily calculating feedforward control parameters, namely inputting the current coal quality parameter obtained in the step S2 and the current coal conveying working condition parameter obtained in the step S3 into a coal quality-dust association database, and calculating to obtain a theoretical dust generation amount G corresponding to the current working condition through an interpolatio