CN-121994295-A - Temperature-pressure-flow wet induction enhancement method and medium in CEMS system

CN121994295ACN 121994295 ACN121994295 ACN 121994295ACN-121994295-A

Abstract

The application provides a temperature, pressure, flow and humidity induction enhancement method and medium in a CEMS system, and relates to the technical field of layout scheme optimization, wherein the method comprises the steps of collecting flue gas emission pipeline information of the CEMS system, constructing a flue gas emission pipe network and carrying out temperature, pressure, flow and humidity prediction; the method comprises the steps of collecting layout parameters of a temperature, pressure, flow and humidity integrated monitor, inputting the pipe network temperature, pressure, flow and humidity prediction distribution and pipe network monitoring layout scheme into a multidimensional induction evaluation model, carrying out layout adjustment and multilevel optimization if evaluation constraint is not met, obtaining a pipe network monitoring layout optimization strategy, and carrying out temperature, pressure, flow and humidity induction enhancement on a CEMS (cell management system) by combining with an equipment state detection module. The application solves the technical problem of inaccurate CESM monitoring caused by unreasonable arrangement of monitoring points, reduces monitoring blind areas caused by fixed arrangement by dynamically adjusting the arrangement scheme of the monitor, and improves the monitoring precision and accuracy of temperature, pressure, flow and humidity parameters in a CEMS system.

Inventors

SHI JIAHUAN
HUANG YUNLU

Assignees

南通仁源节能环保科技有限公司

Dates

Publication Date: 20260508
Application Date: 20251209

Claims (10)

A method for temperature, pressure, flow and wet induction enhancement in a cems system, comprising: Collecting the information of a flue gas emission pipeline of a CEMS system, and constructing a flue gas emission pipe network; According to a preset future time zone, carrying out temperature, pressure, flow and humidity prediction on the flue gas emission pipe network to obtain pipe network temperature, pressure, flow and humidity prediction distribution; Collecting layout parameters of a temperature, pressure, flow and humidity integrated monitor of the flue gas emission pipe network to obtain a pipe network monitoring layout scheme; Inputting the pipe network temperature, pressure, flow and humidity prediction distribution and the pipe network monitoring layout scheme into a multidimensional induction evaluation model to obtain a current layout induction evaluation result; if the current layout induction evaluation result does not meet the layout induction evaluation constraint, carrying out layout adjustment on the temperature-pressure-flow-humidity integrated monitor according to the pipe network temperature-pressure-flow-humidity prediction distribution to obtain a first space for pipe network monitoring layout adjustment; Carrying out multi-level optimization on the first space for monitoring and distributing the pipe network according to the multi-dimensional induction evaluation model to obtain a monitoring and distributing optimization strategy of the pipe network; And based on the pipe network monitoring layout optimization strategy, carrying out temperature, pressure, flow and humidity induction enhancement on the CEMS system by combining with an equipment state detection module.
2. The method for enhancing temperature, pressure, flow and humidity induction in a CEMS system according to claim 1, wherein inputting the pipe network temperature, pressure, flow and humidity prediction distribution and the pipe network monitoring layout scheme into a multidimensional induction evaluation model to obtain a current layout induction evaluation result comprises the following steps: The multidimensional sensing evaluation model comprises an input layer, a multidimensional sensing evaluation layer and an output layer, wherein the multidimensional sensing evaluation layer comprises a temperature sensing adequacy evaluation layer, a pressure sensing adequacy evaluation layer, a flow rate sensing adequacy evaluation layer and a humidity sensing adequacy evaluation layer; inputting the pipe network temperature, pressure, flow and humidity prediction distribution and the pipe network monitoring layout scheme into the multi-dimensional induction evaluation layer to obtain a temperature induction adequacy evaluation coefficient, a pressure induction adequacy evaluation coefficient, a flow rate induction adequacy evaluation coefficient and a humidity induction adequacy evaluation coefficient; And outputting the temperature sensing adequacy evaluation coefficient, the pressure sensing adequacy evaluation coefficient, the flow rate sensing adequacy evaluation coefficient and the humidity sensing adequacy evaluation coefficient to be the current layout sensing evaluation result according to the output layer.
3. The method for enhancing temperature, pressure, flow and humidity induction in a CEMS system according to claim 1, wherein performing multi-level optimization on the first space for monitoring and distributing the pipe network according to the multi-dimensional induction evaluation model to obtain a pipe network monitoring and distributing optimization strategy comprises: based on the multidimensional induction evaluation model, optimizing the first space for monitoring and arranging the pipe network according to the arrangement induction evaluation constraint, and establishing a second space for monitoring and arranging the pipe network; weight distribution is carried out according to the multidimensional sensing evaluation indexes of the multidimensional sensing evaluation model, and a layout optimization computing model is established; performing layout optimization calculation on the second space for monitoring and adjusting the pipeline network based on the layout optimization calculation model to obtain layout optimization distribution; Based on the distribution of the distribution preference, screening the second space for monitoring and distributing the pipe network according to the preset distribution preference, and establishing a third space for monitoring and distributing the pipe network; And adjusting a third space according to the pipe network monitoring layout to perform temperature, pressure, flow and humidity integrated monitor layout quantity minimization optimizing so as to obtain the pipe network monitoring layout optimizing strategy.
4. The method for enhancing temperature, pressure, flow and humidity induction in a CEMS system according to claim 3, wherein optimizing the first space for monitoring and laying pipe network according to the layout induction evaluation constraint based on the multidimensional induction evaluation model, and establishing a second space for monitoring and laying pipe network comprises: according to the first space of the pipe network monitoring layout adjustment, extracting a k scheme of the pipe network monitoring layout adjustment, wherein k is a positive integer; Inputting the pipe network temperature, pressure, flow and humidity prediction distribution and the pipe network monitoring layout adjustment kth scheme into the multidimensional induction evaluation model to obtain a kth layout induction evaluation result; judging whether the k layout induction evaluation result meets the layout induction evaluation constraint; If the k layout induction evaluation result meets the layout induction evaluation constraint, adding the network monitoring layout adjustment k scheme to the network monitoring layout adjustment second space; And if the k layout induction evaluation result does not meet the layout induction evaluation constraint, eliminating the k scheme for monitoring, layout and adjustment of the pipe network.
5. The method for enhancing temperature, pressure, flow and humidity induction in a CEMS system according to claim 1, wherein the temperature, pressure, flow and humidity induction enhancement of the CEMS system by combining an equipment state detection module based on the pipe network monitoring and layout optimization strategy comprises the following steps: according to the pipe network monitoring layout optimization strategy, implementing layout optimization of the temperature, pressure, flow and humidity integrated monitors of the flue gas emission pipe network, and establishing a temperature, pressure, flow and humidity integrated monitoring network; The flue gas emission pipe network is monitored in real time according to the temperature, pressure, flow and humidity integrated monitoring network, and a temperature, pressure, flow and humidity monitoring update set is obtained; and carrying out temperature-pressure flow wet induction enhancement on the temperature-pressure flow wet monitoring update set according to the equipment state detection module to obtain a temperature-pressure flow wet monitoring enhancement set.
6. The method for enhancing the temperature-pressure flow wet induction in a CEMS system according to claim 1, wherein the temperature-pressure flow wet induction enhancement is performed on the temperature-pressure flow wet monitoring update set according to the device state detection module, so as to obtain a temperature-pressure flow wet monitoring enhancement set, which comprises the following steps: Extracting a first monitoring updating parameter according to the temperature, pressure, flow and humidity monitoring updating set; Acquiring state information of a temperature, pressure, flow and humidity integrated monitor corresponding to the first monitoring update parameter to obtain first equipment state data; inputting the first equipment state data into the equipment state detection module to obtain a first equipment state detection result; And carrying out data compensation on the first monitoring updating parameters according to the first equipment state detection result to obtain first monitoring enhancement parameters, and adding the first monitoring enhancement parameters into the temperature, pressure, flow and humidity monitoring enhancement set.
7. The method for enhancing temperature, pressure, flow and humidity induction in a CEMS system according to claim 1, wherein the method for predicting the temperature, pressure, flow and humidity of the flue gas emission pipe network according to a predetermined future time zone to obtain a pipe network temperature, pressure, flow and humidity prediction distribution comprises the following steps: collecting real-time temperature, pressure, flow and humidity information of the flue gas emission pipe network to obtain real-time temperature, pressure, flow and humidity distribution; Performing environment prediction on the smoke emission pipe network according to the preset future time zone to obtain a pipe network prediction environment; And calling an ARIMA model and an LSTM model to predict the temperature, pressure, flow and humidity of the flue gas emission pipe network based on pipe network working condition information of the flue gas emission pipe network, the real-time temperature, pressure, flow and humidity distribution and the pipe network prediction environment to obtain the pipe network temperature, pressure, flow and humidity prediction distribution.
8. The method for enhancing temperature, pressure, flow and humidity induction in a CEMS system according to claim 7, wherein invoking an ARIMA model and an LSTM model to perform temperature, pressure, flow and humidity prediction on the flue gas emission pipe network based on pipe network working condition information of the flue gas emission pipe network, the real-time temperature, pressure, flow and humidity distribution and the pipe network prediction environment to obtain the pipe network temperature, pressure, flow and humidity prediction distribution comprises: inputting the pipe network working condition information, the real-time temperature-pressure-flow-humidity distribution and the pipe network prediction environment into the ARIMA model to obtain a first temperature-pressure-flow-humidity prediction distribution; Inputting the pipe network working condition information, the real-time temperature-pressure-flow-humidity distribution and the pipe network prediction environment into the LSTM model to obtain a second temperature-pressure-flow-humidity prediction distribution; And fusing the first temperature-pressure flow-humidity prediction distribution and the second temperature-pressure flow-humidity prediction distribution to generate the pipe network temperature-pressure flow-humidity prediction distribution.
9. The method of warm-pressure flow wet induction enhancement in a CEMS system of claim 1, wherein the layout induction evaluation constraints include a temperature induction adequacy constraint, a pressure induction adequacy constraint, a flow rate induction adequacy constraint, and a humidity induction adequacy constraint.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed, implements the steps of the temperature-pressure flow wet induction enhancement method in a CEMS system according to any of claims 1 to 9.

Description

Temperature-pressure-flow wet induction enhancement method and medium in CEMS system Technical Field The application relates to the technical field of layout scheme optimization, in particular to a temperature, pressure and flow wet induction enhancement method and medium in a CEMS system. Background The CEMS system is a continuous emission monitoring system for monitoring and recording exhaust emissions of industrial facilities in real time. In the existing CEMS system, the arrangement of the monitoring points is usually based on a fixed scheme, and dynamic changes of air flow temperature, humidity, pressure and flow velocity in the flue gas emission pipeline are ignored, so that the monitoring instrument may not cover a key area of the whole emission pipe network, and especially in the case that the air flow change is complex or regional emission sources exist, monitoring data of certain areas may not truly reflect the whole situation. The temperature, pressure, flow and humidity distribution of a flue gas emission pipe network can change along with the change of time and space, if the arrangement of a monitor is unreasonable, data distortion or omission occurs in certain areas due to the fact that the monitor is in a monitoring blind area, the actual condition of flue gas emission is not accurately reflected, and therefore the overall emission monitoring effect is affected. In summary, in the prior art, because the arrangement of the monitoring points is unreasonable, the arrangement positions of some monitoring points may not cover the key area of the flue gas emission pipe network, which results in the technical problem of inaccurate CESM monitoring data. Disclosure of Invention The application aims to provide a temperature, pressure, flow and humidity induction enhancement method and medium in a CEMS system, which are used for solving the technical problem that CESM monitoring data are inaccurate because the arrangement positions of certain monitoring points possibly cannot cover key areas of a flue gas emission pipe network due to unreasonable arrangement of the monitoring points in the prior art. In view of the above, the present application provides a method and medium for enhancing temperature, pressure, flow and humidity induction in a CEMS system. The application provides a temperature, pressure and humidity induction enhancement method in a CEMS system, which comprises the steps of collecting flue gas emission pipeline information of the CEMS system, constructing a flue gas emission pipe network, carrying out temperature, pressure and humidity prediction on the flue gas emission pipe network according to a preset future time zone to obtain pipe network temperature, pressure and humidity prediction distribution, collecting temperature, pressure and humidity integrated monitor layout parameters of the flue gas emission pipe network to obtain a pipe network monitoring layout scheme, inputting the pipe network temperature, pressure and humidity prediction distribution and the pipe network monitoring layout scheme into a multidimensional induction evaluation model to obtain a current layout induction evaluation result, carrying out temperature, pressure and humidity integrated monitor layout adjustment on the pipe network monitoring layout scheme according to the pipe network temperature, pressure and humidity prediction distribution to obtain a pipe network monitoring layout adjustment first space, carrying out multilayer optimizing strategy on the pipe network monitoring layout adjustment first space according to the multidimensional induction evaluation model to obtain a monitoring optimizing strategy, and carrying out temperature, pressure and humidity induction on the CEMS system according to the pipe network layout state optimizing equipment. The method comprises the steps of collecting real-time temperature, pressure, flow and humidity information of a flue gas emission pipe network to obtain real-time temperature, pressure, flow and humidity distribution, predicting the environment of the flue gas emission pipe network according to the preset future time zone to obtain pipe network prediction environment, and calling an ARIMA model and an LSTM model to predict the temperature, pressure, flow and humidity of the flue gas emission pipe network to obtain pipe network temperature, pressure, flow and humidity prediction distribution based on pipe network working condition information of the flue gas emission pipe network, the real-time temperature, pressure, flow and humidity distribution and the pipe network prediction environment. Optionally, inputting the pipe network working condition information, the real-time temperature-pressure-flow-humidity distribution and the pipe network prediction environment into the ARIMA model to obtain a first temperature-pressure-flow-humidity prediction distribution, inputting the pipe network working condition information, the real-time temperature-pressure-fl