CN-122018453-A - Intelligent operation control system and method for dry slag discharging system of coal-fired boiler

CN122018453ACN 122018453 ACN122018453 ACN 122018453ACN-122018453-A

Abstract

The invention relates to an intelligent operation control system and method for a dry slag discharging system of a coal-fired boiler, belonging to the field of thermal power generation; solves the problem that the existing dry slag discharging system of the coal-fired boiler commonly monitors and controls the cracking; the system comprises a control cabinet, wherein the control cabinet is in communication connection with an online monitoring system and a DCS system, the online monitoring system comprises a binocular vision monitoring unit, an air volume measuring unit, a temperature measuring unit and a large slag identifying unit, the air volume measuring unit, the temperature measuring unit and the large slag identifying unit are deployed on a dry slag extractor, the binocular vision monitoring unit comprises an image acquisition module, the image acquisition module is in communication connection with an image processing module, the image processing module is used for processing a steel belt image acquired by the image acquisition module and obtaining the mass flow of slag on the steel belt through a three-dimensional reconstruction algorithm model, and the DCS system is used for providing the operation parameters of a boiler corresponding to the dry slag extractor and displaying the monitoring result and the output result.

Inventors

GE XIAOJUN
WANG ZHENHUA
ZHAO YUCHEN

Assignees

苏晋塔山发电有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. An intelligent operation control system of a dry slag discharging system of a coal-fired boiler, which is characterized by comprising: the control cabinet is in communication connection with an online monitoring system and a DCS system; the online monitoring system comprises a binocular vision monitoring unit, an air volume measuring unit, a temperature measuring unit and a slag identifying unit which are arranged on the dry slag extractor; The binocular vision monitoring unit comprises an image acquisition module which is in communication connection with an image processing module; The image processing module is used for processing the steel belt image acquired by the image acquisition module and obtaining the mass flow of slag on the steel belt through a three-dimensional reconstruction algorithm model based on the processed steel belt image; the control cabinet is configured to: Based on the slag mass flow, the slag temperature of the head section of the dry slag extractor, which is acquired by the temperature measuring unit, and the large slag identification signal output by the large slag identification unit, the opening amount of the first air door corresponding to the head section of the dry slag extractor is obtained through a multi-parameter coupling model; Outputting the opening amount of a second air door corresponding to the horizontal section of the dry slag extractor through the association control model based on the opening amount of a first air door corresponding to the head section of the dry slag extractor; Outputting the operating frequency adjustment quantity of the dry slag extractor through a slag layer thickness closed-loop control model based on the slag mass flow and the current operating frequency of the dry slag extractor so as to ensure that the slag thickness on the steel belt is within a preset thickness range; the DCS system is used for providing the boiler operation parameters corresponding to the dry slag extractor and displaying the monitoring result and the output result.
2. The intelligent operation control system of the dry slag discharging system of the coal-fired boiler according to claim 1, wherein the control cabinet is further configured to obtain an evaluation result of the influence of the operation of the dry slag discharging machine on the economy of the boiler through the embedded economy analysis model based on the cooling air quantity monitored by the air quantity measuring unit and the related operation parameters of the dry slag discharging machine corresponding to the boiler.
3. The intelligent operation control system of a dry slag discharging system of a coal-fired boiler according to claim 1, wherein the multi-parameter coupling model comprises: The basic feedforward control unit inquires a preset load-air door opening reference curve according to the boiler load parameter and outputs a first basic air door opening amount; The feedback control unit calculates a first air door opening feedback correction amount through a proportional-integral-derivative algorithm according to the deviation between the actually measured slag temperature of the head part of the dry slag extractor and the set slag temperature; the dynamic feedforward control unit outputs a feedforward correction amount of the opening of the first air door which is adjusted in advance when the slag load of the steel belt is suddenly changed according to the real-time slag mass flow and/or the large slag identification signal; The final opening amount of the first throttle is obtained by superposing the first basic throttle opening amount, the first throttle opening feedback correction amount and the first throttle opening feedforward correction amount.
4. The intelligent operation control system of a dry slag discharging system of a coal-fired boiler according to claim 1, wherein the slag layer thickness closed-loop control model comprises: the process variable calculation unit is used for obtaining the real-time slag thickness on the steel belt based on the real-time slag mass flow and the current operating frequency of the dry slag extractor; the PI control unit is used for obtaining the running frequency adjustment quantity of the dry slag extractor based on the deviation between the thickness of the real-time slag layer and the preset slag thickness range; And the protection logic unit is used for triggering override control and forcedly setting the running frequency of the dry slag extractor to be the maximum power frequency when the real-time slag mass flow exceeds a safety threshold value within a preset time.
5. The intelligent operation control system of the dry slag discharging system of the coal-fired boiler according to claim 1, wherein the embedded economic analysis model takes the total cooling air quantity of the dry slag discharging machine operation and the boiler load, the exhaust gas temperature and the environment temperature provided by a DCS system as inputs, and calculates and outputs the boiler exhaust gas temperature variation quantity and the boiler thermal efficiency variation quantity caused by the cooling air quantity variation on line through a pre-established simplified thermodynamic relation model.
6. The intelligent operation control system of a dry slag discharging system of a coal-fired boiler according to claim 1, wherein the associated control model comprises: The basic opening following unit is used for outputting the following opening amount of the second air door according to a preset proportion based on the opening amount of the first air door corresponding to the head section of the dry slag extractor; And the big slag linkage following unit is used for outputting the maximum opening response time of the second air door and the time for keeping the second air door in the maximum opening state based on the big slag identification signal.
7. The intelligent operation control system of the dry slag discharging system of the coal-fired boiler according to claim 1, wherein the image acquisition module comprises a cooling protection device and an image processing module, a binocular camera and a laser are arranged on the cooling protection device, and a protective cover is arranged on the binocular camera and the laser.
8. The intelligent operation control system of the dry slag discharging system of the coal-fired boiler according to claim 1, wherein the image processing module adopts an embedded industrial personal computer.
9. An intelligent operation control method of a dry slag discharging system of a coal-fired boiler, which is applied to the system as claimed in any one of claims 1 to 8, and is characterized by comprising the following steps: S1, acquiring multi-source data including a steel belt image, cooling air quantity, slag temperature at the head part of a dry slag extractor and a large slag identification signal output by a large slag identification unit in real time through an on-line monitoring system deployed on the site of the dry slag extractor, and acquiring boiler load parameters; S2, performing binocular vision processing on the steel belt image to obtain the mass flow of slag on the steel belt; step S3, based on the real-time slag mass flow, the slag temperature of the head section of the dry slag extractor and the large slag identification signal, obtaining the opening amount of a first air door corresponding to the head section of the dry slag extractor through a multi-parameter coupling model, transmitting the opening amount to an actuator of the first air door, and controlling the opening amount of the first air door; s4, outputting the operation frequency adjustment quantity of the dry slag extractor through a slag layer thickness closed-loop control model based on the real-time slag mass flow and the current operation frequency of the dry slag extractor, and transmitting the operation frequency adjustment quantity to a frequency converter of the dry slag extractor so as to ensure that the slag thickness on the steel belt is within a preset thickness range; And S5, visually feeding back the monitoring result of the on-line monitoring system and the control cabinet and outputting the result.
10. The intelligent operation control method for the dry slag discharging system of the coal-fired boiler according to claim 9, wherein the binocular vision treatment process comprises the following steps: S21, preprocessing the acquired steel belt image; s22, outputting three-dimensional point cloud coordinates of the steel belt image based on a three-dimensional reconstruction algorithm model to the preprocessed steel belt image so as to obtain depth coordinates of slag surface points on the steel belt; step S23, calculating the volume of a slag pile on the steel belt based on the point cloud on the surface of the steel belt on the empty-load steel belt image and the point cloud on the surface of the slag; And S24, outputting mass flow based on the slag pile volume flow and the slag bulk density.

Description

Intelligent operation control system and method for dry slag discharging system of coal-fired boiler Technical Field The invention provides an intelligent operation control system and method for a dry slag discharging system of a coal-fired boiler, and belongs to the technical field of thermal power generation. Background The existing dry slag discharging system of the coal-fired boiler generally has the problems of monitoring and controlling the cracking. The slag discharge amount cannot be measured directly, continuously and accurately on line, so that the cooling air quantity adjustment depends on experience or single slag temperature feedback, and the problems of response lag and rough adjustment exist. Meanwhile, the operation frequency of the slag extractor is not matched with the real-time slag extraction requirement, so that equipment abrasion and energy consumption are easy to increase. In addition, the influence of the cooling air quantity on the overall economy of the boiler cannot be estimated and fed back in real time, and operation optimization is difficult to realize. Although the prior patent documents (such as CN119860540A, CN111290447A and the like) relate to local improvements such as air quantity control, air leakage monitoring and the like, the systematic problems of multivariable coupling and global optimization are not solved, and a complete intelligent operation closed loop cannot be formed. Therefore, there is a need for an intelligent operation solution for a dry slag discharging system that can realize global sensing, intelligent decision making, collaborative execution and real-time evaluation. Disclosure of Invention The invention provides a full-closed loop intelligent dry slag discharging operation control system and method capable of realizing global perception, intelligent decision, collaborative execution and real-time evaluation, and aims to solve the technical problems of monitoring and controlling cracking commonly existing in the existing dry slag discharging system of a coal-fired boiler. In order to solve the technical problems, the invention adopts the technical scheme that the intelligent operation control system of the dry slag discharging system of the coal-fired boiler comprises: the control cabinet is in communication connection with an online monitoring system and a DCS system; the online monitoring system comprises a binocular vision monitoring unit, an air volume measuring unit, a temperature measuring unit and a slag identifying unit which are arranged on the dry slag extractor; The binocular vision monitoring unit comprises an image acquisition module which is in communication connection with an image processing module; The image processing module is used for processing the steel belt image acquired by the image acquisition module and obtaining the mass flow of slag on the steel belt through a three-dimensional reconstruction algorithm model based on the processed steel belt image; the control cabinet is configured to: Based on the slag mass flow, the slag temperature of the head section of the dry slag extractor, which is acquired by the temperature measuring unit, and the large slag identification signal output by the large slag identification unit, the opening amount of the first air door corresponding to the head section of the dry slag extractor is obtained through a multi-parameter coupling model; Outputting the opening amount of a second air door corresponding to the horizontal section of the dry slag extractor through the association control model based on the opening amount of a first air door corresponding to the head section of the dry slag extractor; Outputting the operating frequency adjustment quantity of the dry slag extractor through a slag layer thickness closed-loop control model based on the slag mass flow and the current operating frequency of the dry slag extractor so as to ensure that the slag thickness on the steel belt is within a preset thickness range; the DCS system is used for providing the boiler operation parameters corresponding to the dry slag extractor and displaying the monitoring result and the output result. Further, the control cabinet is further configured to obtain an evaluation result of the influence of the operation of the dry slag extractor on the economical efficiency of the boiler through the embedded economical efficiency analysis model based on the cooling air quantity monitored by the air quantity measuring unit and the related operation parameters of the boiler corresponding to the dry slag extractor. Further, the multiparameter coupling model comprises: The basic feedforward control unit inquires a preset load-air door opening reference curve according to the boiler load parameter and outputs a first basic air door opening amount; The feedback control unit calculates a first air door opening feedback correction amount through a proportional-integral-derivative algorithm according to the deviation between the