CN-122017406-A - Dust remover ash cleaning pulse valve monitoring method and system

CN122017406ACN 122017406 ACN122017406 ACN 122017406ACN-122017406-A

Abstract

The embodiment of the invention provides a dust remover ash removal pulse valve monitoring method and system, which comprise the steps of responding to a starting signal, triggering a high-frequency pressure sensor to collect real-time pressure data in a compressed air main pipeline, determining inflection point change points in a pressure change curve based on the real-time pressure data, determining to be in an open fault state if the deviation between the actual value of the inflection point change points and a preset inflection point value exceeds a first preset threshold value, determining to be in a leakage state if the deviation between the pressure value of a pulse valve air bag corresponding to the inflection point change points and the preset pressure value is greater than a second preset threshold value, calculating the pressure change rate based on the last point position of the real-time pressure data, judging the fault type state according to the comparison result of the change rate and a third preset threshold value, and determining to be in a target monitoring result based on the open fault state, the leakage state and the fault type state of an electromagnetic pulse valve. The method can timely identify the fault type of the pulse valve, and ensure that the fault is timely checked to achieve the energy-saving effect.

Inventors

ZHENG YUPING
CHEN KUIXU
SHU XIAOYUAN
XIAO HUASHENG
LIAO XIAOJUN
LIN ZHIHONG
WANG HUACHANG
ZHONG QINGYANG

Assignees

福建龙净环保股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260128

Claims (10)

1. A method for monitoring a dust remover ash removal pulse valve, which is characterized by comprising the following steps: The method comprises the steps of responding to a starting signal sent by a distributed control system, triggering a high-frequency pressure sensor to acquire real-time pressure data in a compressed air main pipeline, wherein the starting signal is used for opening an electromagnetic pulse valve and spraying compressed air stored in an air bag corresponding to the electromagnetic pulse valve into a filter bag of a dust collector; determining inflection point change points in a pressure change curve based on the real-time pressure data; if the deviation between the actual value of the inflection point change point and the preset inflection point value exceeds a first preset threshold value, determining that the electromagnetic pulse valve is in an open fault state; if the deviation between the pressure value of the pulse valve air bag corresponding to the inflection point change point and the preset pressure value is larger than a second preset threshold value, determining that the electromagnetic pulse valve is in a leakage state, wherein the pressure value of the pulse valve air bag is used for representing the average pressure change value of the inflection point change point; Calculating a pressure change rate through high-order polynomial fitting based on the final point position of the real-time pressure data, and judging the fault type state of the electromagnetic pulse valve according to a comparison result of the change rate and a third preset threshold value; and determining a target monitoring result of the electromagnetic pulse valve based on the opening fault state, the leakage state and the fault type state of the electromagnetic pulse valve.
2. The method according to claim 1, wherein the method further comprises: Determining a plurality of weighting factors based on the number of air bags corresponding to the electromagnetic pulse valve and the position information of the high-frequency pressure sensor; Constructing a first coefficient matrix based on the plurality of weighting factors; and calculating the preset inflection point value based on the first coefficient matrix and the inflection point change point.
3. The method according to claim 1, wherein the method further comprises: Obtaining candidate change points meeting a preset sequence in the inflection point change points; And carrying out data average processing on the candidate change points to obtain the pressure value in the pulse valve air bag.
4. A method according to claim 3, characterized in that the method further comprises: Determining a difference value between the pressure value in the pulse valve air bag and a preset initial value; carrying out fuzzy weighting processing on the difference value by adopting a second coefficient matrix to obtain a threshold value difference value; and superposing the threshold difference value and the preset initial value to obtain the preset pressure value.
5. The method according to claim 1, wherein the calculating the pressure change rate by a high-order polynomial fitting based on the final point position of the real-time pressure data, and the judging the fault type state of the electromagnetic pulse valve according to the comparison result of the change rate and a third preset threshold value, includes: Performing polynomial fitting treatment on the final point value of the real-time pressure data to obtain a fitting result; Determining a rate of change of the high frequency pressure sensor based on the fitting result and a weighting factor; And determining a fault type state of the electromagnetic pulse valve based on the change rate and the third preset threshold, wherein the fault type state is an air hole blockage or spring blockage fault state.
6. The method of claim 5, wherein the determining the fault type status of the solenoid valve based on the rate of change and the third preset threshold comprises: If the change rate is larger than the preset proportion of the third preset threshold value, determining that the electromagnetic pulse valve is in a vent blocking fault state; and if the change rate is smaller than the preset proportion of the third preset threshold value, determining that the spring of the electromagnetic pulse valve is in a blocking fault state.
7. The method of claim 6, wherein the method further comprises: obtaining a plurality of fitting results of the electromagnetic pulse valve in the current state; Fuzzy weighting processing is carried out on the fitting results and the first coefficient matrix to obtain an initial threshold; And superposing the initial threshold value with the corrected value to obtain the third preset threshold value.
8. The method according to claim 1, wherein the method further comprises: Acquiring a plurality of opening fault states, a plurality of leakage states and a plurality of fault type states of an electromagnetic pulse valve in a plurality of continuous monitoring processes; Fusing the multiple opening fault states, the multiple leakage states and the multiple fault type states to obtain the target monitoring result and feeding the target monitoring result back to a distributed control system so that the distributed control system outputs a reset signal; and responding to the reset signal, and resetting the electromagnetic pulse valve.
9. The dust remover ash cleaning pulse valve monitoring system is characterized by comprising a distributed control system, a pulse monitoring device, a high-frequency pressure sensor and an electromagnetic pulse valve, wherein: The distributed control system is respectively in communication connection with the electromagnetic pulse valve and the pulse monitoring device; the distributed control system is used for sending a starting signal to the electromagnetic pulse valve so as to drive the electromagnetic pulse valve to be opened, so that compressed air stored in an air bag corresponding to the electromagnetic pulse valve is sprayed into a filter bag of the dust collector; The pulse monitoring device is used for responding to the starting signal, acquiring real-time pressure data in the compressed air main pipeline by adopting the high-frequency pressure sensor, determining an inflection point change point in a pressure change curve based on the real-time pressure data, determining that the electromagnetic pulse valve is in an opening fault state if the deviation between the actual value of the inflection point change point and a preset inflection point value exceeds a first preset threshold value, determining that the electromagnetic pulse valve is in a leakage state if the deviation between a pulse valve air bag pressure value corresponding to the inflection point change point and the preset pressure value is larger than a second preset threshold value, wherein the pulse valve air bag pressure value is used for representing an average pressure change value of the inflection point change point, calculating the pressure change rate by means of high-order polynomial fitting based on the last point position of the real-time pressure data, judging the fault type state of the electromagnetic pulse valve according to the comparison result of the change rate and the third preset threshold value, and determining the target monitoring result of the electromagnetic pulse valve based on the opening fault state, the leakage state and the fault type state of the electromagnetic pulse valve.
10. The system of claim 9, wherein the plurality of solenoid valves are arranged and distributed over the plurality of gas bags, respectively, the distributed control system being further configured to locate a fault location by driving a start sequence of the plurality of solenoid valves; the high-frequency pressure sensor is arranged on a pipeline of the main compressed air pipeline, the electromagnetic pulse valve is mechanically connected with the main compressed air pipeline, and the high-frequency pressure sensor is also used for monitoring real-time pressure data of the compressed air in the main pipeline.

Description

Dust remover ash cleaning pulse valve monitoring method and system Technical Field The invention relates to the technical field of data processing, in particular to a dust remover ash cleaning pulse valve monitoring method and system in the technical field of data processing. Background The electromagnetic pulse valve is a core component of a bag type dust collector in a flue gas dust removal system and is a generating device for the ash removal airflow of the pulse blowing bag type dust collector. In a common ash removal mode, pulse blowing has the strongest ash removal capability, but if the blowing requirement cannot be met due to the failure of an electromagnetic pulse valve, the ash removal effect is greatly reduced. In the controllable scope of dust pelletizing system operation process, if can monitor in advance and solve the trouble of electromagnetic pulse valve fast, just can improve dust pelletizing system dust removal efficiency, effectively prevent the outage accident emergence, alleviate production loss. At present, the fault diagnosis of the electromagnetic pulse valve mainly adopts an off-line diagnosis mode for limited typical faults, the specific position cannot be positioned in the mode, the fault type of the pulse valve is known, and the fault type is difficult to monitor in time in the operation process of a dust removal system, so that the electromagnetic pulse valve needs to be checked one by one, the time and the labor are consumed, and the normal production efficiency of enterprises is greatly influenced. Disclosure of Invention The invention aims to provide a dust remover ash cleaning pulse valve monitoring method and system, and the adopted technical scheme is as follows: In a first aspect, an embodiment of the present invention provides a method for monitoring a dust remover ash cleaning pulse valve, where the method includes: In a second aspect, a dust remover ash cleaning pulse valve monitoring system is provided, the system comprises a distributed control system, a pulse monitoring device, a high-frequency pressure sensor and an electromagnetic pulse valve, wherein: In a third aspect, there is provided a computer program product comprising computer program code which, when run on a computer, causes the computer to perform the method of the first aspect described above. In a fourth aspect, there is provided a computer readable storage medium storing computer program code which, when run on a computer, causes the computer to perform the method of the first aspect described above. The invention has the following beneficial effects that the high-frequency pressure sensor is triggered to collect real-time pressure data in the compressed air main pipeline in response to the starting signal sent by the distributed control system, wherein the starting signal is used for opening the electromagnetic pulse valve and spraying compressed air stored in the air bag corresponding to the electromagnetic pulse valve into the filter bag of the dust remover so as to accurately analyze the state of the electromagnetic pulse valve through the real-time pressure data. The method comprises the steps of obtaining real-time pressure data, obtaining inflection point change points in a pressure change curve based on the real-time pressure data, determining that an electromagnetic pulse valve is in an open fault state if deviation between an actual value of the inflection point change points and a preset inflection point value exceeds a first preset threshold value, determining whether the electromagnetic pulse valve is in a leakage state or not by analyzing whether deviation between a pulse valve air bag pressure value corresponding to the inflection point change points and the preset pressure value is larger than a second preset threshold value, wherein the pulse valve air bag pressure value is used for representing an average pressure change value of the inflection point change points, calculating a pressure change rate based on an end point position of the real-time pressure data through high-order polynomial fitting, and judging a fault type state of the electromagnetic pulse valve according to a comparison result of the change rate and a third preset threshold value. In this way, the opening fault state, the leakage state and the fault type state of the electromagnetic pulse valve can be accurately analyzed by dynamically setting different preset inflection point values, preset pressure values and third preset thresholds. And finally, determining a target monitoring result of the electromagnetic pulse valve by combining the opening fault state, the leakage state and the fault type state of the electromagnetic pulse valve, and feeding back the target monitoring result to the distributed control system, so that the fault type of the pulse valve can be timely identified, the position can be accurately positioned before failure, the electromagnetic pulse valve fault can be rapidly eliminated, the expansi