CN-122006903-A - Intelligent regulation and control method for dust removal system based on data acquisition of Internet of things

CN122006903ACN 122006903 ACN122006903 ACN 122006903ACN-122006903-A

Abstract

The invention discloses an intelligent regulation and control method of a dust removal system based on data acquisition of the Internet of things. According to the method, coal quality and flue gas tempering influence factors are calculated through collecting coal quality entering a furnace, corrected sulfur trioxide concentration and electric field secondary voltage and current data, and the coal quality and flue gas tempering influence factors are fused to generate a working condition evaluation index, so that an expected corona current interval is determined. The real-time characteristic current value is extracted, the electric field control margin is calculated, the characteristic current is compared with an expected interval, the voltage adjustment quantity is determined under the safety constraint, and the electric field voltage is regulated and controlled accordingly. Finally, the regulation and control effect is verified through data collection again, a closed loop is formed, and the self-adaptive optimization and safe operation of the dust removal system to the working conditions are realized.

Inventors

ZHAO XIANGLIN
FANG JINHAI
ZHAO DONGJIE
ZHAO WEI

Assignees

浙江篮箭环保科技有限公司

Dates

Publication Date: 20260512
Application Date: 20251230

Claims (10)

1. The intelligent regulation and control method of the dust removal system based on the data acquisition of the Internet of things is characterized by comprising the following steps of: s1, collecting in real time coal quality data of a thermal power plant, real-time concentration data of sulfur trioxide and historical standard data of sulfur trioxide of a flue gas conditioning system, and secondary voltage time sequence data and secondary current time sequence data of a target electric field of an electric dust collector; S2, based on sulfur trioxide historical standard data, drift correction is carried out on real-time concentration data of sulfur trioxide, and the effective concentration of sulfur trioxide is obtained; S3, calculating to obtain a coal dust removal influence factor based on the influence of ash content and sulfur content in the coal quality data into the furnace on the specific resistance of the dust; s4, fusing a coal dust removal influence factor and a flue gas conditioning influence factor, generating a working condition evaluation index representing a dust specific resistance state, and determining a corresponding expected corona current interval based on the working condition evaluation index; s5, extracting a characteristic current value according to the secondary current time sequence data, calculating an electric field control margin according to the secondary voltage time sequence data, comparing the characteristic current value with an expected corona current interval, and determining a target voltage adjustment quantity by combining the electric field control margin; And S6, regulating and controlling the operation voltage of the target electric field based on the target voltage regulating quantity, and re-acquiring data after regulating and controlling to verify the regulating and controlling effect.
2. The intelligent regulation and control method for a dedusting system based on data acquisition of the internet of things according to claim 1, wherein the real-time acquisition of the in-furnace coal quality data of a thermal power plant, the real-time concentration data of sulfur trioxide and the historical standard data of sulfur trioxide of a flue gas conditioning system, and the secondary voltage time sequence data and the secondary current time sequence data of a target electric field of an electric dust collector comprises the following steps: S110, collecting in real time coal quality data of the thermal power plant, wherein the coal quality data comprises ash content and sulfur content; s120, collecting real-time concentration data of sulfur trioxide output by a sulfur trioxide concentration sensor of a flue gas conditioning system in real time; S130, acquiring pre-calibrated sulfur trioxide historical standard data; And S140, collecting secondary voltage time sequence data and secondary current time sequence data of a target electric field of the electric dust collector in real time.
3. The intelligent regulation and control method of the dust removal system based on the data acquisition of the internet of things according to claim 2, wherein the drift correction is performed on real-time concentration data of sulfur trioxide based on historical standard data of sulfur trioxide to obtain effective concentration of sulfur trioxide, and the method comprises the following steps: S210, calculating the concentration measurement drift amount at the current moment according to the real-time concentration data of the sulfur trioxide and the sulfur trioxide historical standard data; s220, compensating and correcting the real-time concentration data of the sulfur trioxide by utilizing the concentration measurement drift quantity; and S230, outputting the concentration value after compensation and correction as the effective concentration of sulfur trioxide.
4. The intelligent regulation and control method of the dust removal system based on the data acquisition of the Internet of things according to claim 3 is characterized in that the influence of ash content and sulfur content in the in-furnace coal quality data on the specific resistance of dust is calculated to obtain a coal quality dust removal influence factor, and the flue gas conditioning influence factor is calculated based on the regulation effect of the effective concentration of sulfur trioxide on the specific resistance of dust, and comprises the following steps: s310, calculating to obtain a coal dust removal influence factor based on the influence relation of the ash content and the sulfur content on the specific resistance of dust; s320, calculating to obtain a flue gas conditioning influence factor based on the regulation relation between the effective concentration of sulfur trioxide and the specific resistance of dust; s330, outputting the coal dust removal influence factor and the flue gas conditioning influence factor.
5. The intelligent regulation and control method of a dust removal system based on data acquisition of the internet of things according to claim 4, wherein the method for generating a working condition evaluation index representing a specific resistance state of dust by fusing a coal dust removal influence factor and a flue gas conditioning influence factor and determining a corresponding expected corona current interval based on the working condition evaluation index comprises the following steps: S410, calculating to obtain the working condition evaluation index according to the influence of the coal dust removal influence factor and the flue gas tempering influence factor on the dust specific resistance; S420, obtaining a corresponding reference expected current according to a pre-established working condition evaluation index based on a mapping relation between the working condition evaluation index and the reference expected current; and S430, expanding a desired corona current section comprising an upper limit value and a lower limit value on the basis of the reference desired current.
6. The intelligent regulation and control method of a dust removal system based on data acquisition of internet of things according to claim 5, wherein the extracting the characteristic current value according to the secondary current time sequence data, calculating the electric field control margin according to the secondary voltage time sequence data, comparing the characteristic current value with an expected corona current interval, and determining the target voltage adjustment amount by combining the electric field control margin comprises: S510, carrying out statistical distribution analysis on the secondary current time sequence data in a set period, and determining the median of the statistical distribution as a characteristic current value; S520, calculating average operation voltage according to the secondary voltage time sequence data, and determining electric field control margin by comparing the average operation voltage with a preset breakdown voltage safety threshold; S530, judging whether the characteristic current value is in the expected corona current interval, setting the target voltage adjustment amount to be zero if the characteristic current value is in the expected corona current interval, calculating the required adjustment amount based on the deviation between the characteristic current value and the median value of the expected corona current interval if the characteristic current value is not in the expected corona current interval, and restraining the required adjustment amount by utilizing the electric field control margin to generate the target voltage adjustment amount.
7. The intelligent regulation and control method of a dust removal system based on data acquisition of internet of things according to claim 6, wherein the regulating and controlling the operating voltage of the target electric field based on the target voltage adjustment amount, and re-acquiring data after the regulating and controlling to verify the regulating and controlling effect, comprises: S610, generating a voltage regulation command to high-voltage power supply equipment of a target electric field according to the target voltage regulation quantity; S620, after the voltage adjustment instruction is executed, re-collecting secondary voltage time sequence data and secondary current time sequence data of a set period; s630, calculating a new characteristic current value based on the acquired secondary current time sequence data, and calculating a new electric field control margin based on the acquired secondary voltage time sequence data; s640, if the new characteristic current value falls into the expected corona current interval and the new electric field control margin is not lower than a preset threshold value, judging that the regulation is effective and maintaining the current regulation parameters, otherwise, judging that the regulation is not expected and triggering a new regulation flow.
8. The intelligent regulation and control system of the dust pelletizing system based on the data acquisition of the internet of things is used for realizing the intelligent regulation and control method of the dust pelletizing system based on the data acquisition of the internet of things as claimed in any one of claims 1 to 7, and is characterized by comprising the following steps: The data acquisition module is used for acquiring in real time the coal quality data of the thermal power plant, the real-time concentration data of sulfur trioxide and the historical standard data of sulfur trioxide of the flue gas conditioning system, and the secondary voltage time sequence data and the secondary current time sequence data of the target electric field of the electric dust collector; the data correction module is used for carrying out drift correction on the real-time concentration data of the sulfur trioxide based on the historical standard data of the sulfur trioxide to obtain the effective concentration of the sulfur trioxide; The influence factor calculation module is used for calculating and obtaining a coal dust removal influence factor based on the influence of ash content and sulfur content in the coal quality data into the furnace on the specific resistance of dust; The working condition evaluation module is used for fusing the coal dust removal influence factor and the flue gas tempering influence factor, generating a working condition evaluation index representing the dust specific resistance state, and determining a corresponding expected corona current interval based on the working condition evaluation index; the intelligent decision module is used for extracting a characteristic current value according to the secondary current time sequence data, calculating an electric field control margin according to the secondary voltage time sequence data, comparing the characteristic current value with an expected corona current interval, and determining a target voltage adjustment quantity by combining the electric field control margin; And the execution feedback module is used for regulating and controlling the running voltage of the target electric field based on the target voltage regulating quantity, and collecting data again after regulating and controlling to verify the regulating and controlling effect.
9. An electronic device comprises a processor and a memory, wherein the memory stores a computer program which can be called by the processor, and the processor executes the intelligent regulation method of the dust removal system based on the data acquisition of the Internet of things according to any one of claims 1 to 7 by calling the computer program stored in the memory.
10. A computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the intelligent regulation method for a dust removal system based on data acquisition of the internet of things according to any one of claims 1 to 7.

Description

Intelligent regulation and control method for dust removal system based on data acquisition of Internet of things Technical Field The invention relates to the technical field of intelligent control of environmental protection equipment of a thermal power plant and application of the Internet of things, in particular to an intelligent regulation and control method of a dust removal system based on data acquisition of the Internet of things. Background The electrostatic precipitator is used as core equipment for purifying flue gas of coal-fired power plants, and the working principle is that dust is charged through a high-voltage electric field and is trapped under the action of electric field force. The corona discharge intensity is the key to determine dust removal efficiency and is directly characterized by secondary voltage and secondary current. The specific resistance of the dust is a core physical parameter affecting corona discharge and trapping effect, namely, back corona is easy to be caused due to the fact that the specific resistance is too high, secondary dust raising and efficiency are reduced, and dust is difficult to charge and difficult to trap due to the fact that the specific resistance is too low. The ash and sulfur in the coal being charged into the furnace are the internal factors for determining the original specific resistance of the dust, and the sulfur trioxide injected by the flue gas conditioning system is adsorbed on the surface of the dust to form a conductive layer, so that the method is an external key means for adjusting the specific resistance of the dust to adapt to the electric field condition. The existing control system mostly adopts fixed parameters or hysteresis adjustment based on the concentration of the outlet dust, and is difficult to cooperatively respond to coal fluctuation and hardening and tempering change. The system cannot quantify the coal quality influence in real time, correct the drift of the sulfur trioxide sensor, and the voltage adjustment also lacks a safety margin constraint and a closed loop verification mechanism, so that dust removal efficiency fluctuation and operation risk are caused. Therefore, an intelligent regulation and control method of the electrostatic precipitator, which can integrate real-time coal quality data, corrected sulfur trioxide concentration and electric field running state, dynamically generate safe and optimal control instructions through intelligent evaluation, and form closed-loop verification and learning, is needed. Disclosure of Invention In order to overcome the defects in the prior art, the invention provides an intelligent regulation and control method and system for a dust removal system based on data acquisition of the Internet of things, and aims to realize self-adaption, safe and optimal operation of an electrostatic precipitator on coal quality and conditioning working conditions. In order to achieve the above purpose, the invention adopts the following technical scheme: In a first aspect, the invention provides an intelligent regulation and control method for a dust removal system based on data acquisition of the internet of things, which comprises the following steps: s1, collecting in real time coal quality data of a thermal power plant, real-time concentration data of sulfur trioxide and historical standard data of sulfur trioxide of a flue gas conditioning system, and secondary voltage time sequence data and secondary current time sequence data of a target electric field of an electric dust collector; S2, based on sulfur trioxide historical standard data, drift correction is carried out on real-time concentration data of sulfur trioxide, and the effective concentration of sulfur trioxide is obtained; S3, calculating to obtain a coal dust removal influence factor based on the influence of ash content and sulfur content in the coal quality data into the furnace on the specific resistance of the dust; s4, fusing a coal dust removal influence factor and a flue gas conditioning influence factor, generating a working condition evaluation index representing a dust specific resistance state, and determining a corresponding expected corona current interval based on the working condition evaluation index; s5, extracting a characteristic current value according to the secondary current time sequence data, calculating an electric field control margin according to the secondary voltage time sequence data, comparing the characteristic current value with an expected corona current interval, and determining a target voltage adjustment quantity by combining the electric field control margin; And S6, regulating and controlling the operation voltage of the target electric field based on the target voltage regulating quantity, and re-acquiring data after regulating and controlling to verify the regulating and controlling effect. According to the above technical scheme, real-time collection thermal power plant's income stove co