Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Coal gas dynamic balance scheduling method based on expert system in coking industry and system thereof

An expert system, dynamic balance technology, applied in the energy industry, climate sustainability, instrumentation, etc., can solve problems such as gas imbalance

Inactive Publication Date: 2012-10-10
北京三博中自科技有限公司
View PDF2 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a gas dynamic balance scheduling method and system based on an expert system in the coking industry, which can effectively assist dispatchers to conduct timely, accurate and reliable scheduling for various unbalanced gas supply and demand situations, and solve problems caused by gas supply and demand fluctuations. gas imbalance problem

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Coal gas dynamic balance scheduling method based on expert system in coking industry and system thereof
  • Coal gas dynamic balance scheduling method based on expert system in coking industry and system thereof
  • Coal gas dynamic balance scheduling method based on expert system in coking industry and system thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] The gas dynamic balance scheduling system and method based on the expert system of the present invention adopt process mechanism modeling and regression analysis modeling to establish a gas-related unit prediction model to predict the gas generation, consumption and storage capacity of the gas system in the future, and based on this Based on the judgment of gas supply and demand balance, real-time and accurate provision of future gas system status for dispatchers. It should be noted that, for the determination of the future setting time, the method of time granularity can be used. The time granularity refers to the predicted time length, and the future time to be predicted can be determined according to the model startup time and time granularity; of course, it is also possible to Use other methods to determine the set moment in the future, such as artificially preset a certain point in the future.

[0044] Figure 1a It is the structural diagram of the gas dynamic bala...

Embodiment 2

[0064] Example 2 as Figure 1b and Figure 2b Shown, is to carry out perfection and improvement on the basis of embodiment 1. Only the differences between Embodiment 2 and Embodiment 1 will be described in detail below.

[0065] The gas dynamic balance scheduling system based on the expert system of embodiment 2, on the basis of embodiment 1, also includes the prediction model self-calibration module, and the prediction model self-correction module receives from each gas unit prediction sub-module of the prediction model module Prediction data, online monitoring and real-time calculation of the deviation between the actual production data of the production feedback at the set time and the corresponding forecast data, and comparing the deviation with the preset threshold; if the absolute value of the deviation is greater than the threshold, then according to the actual The production data is recalculated and the corresponding model parameters in the forecast model module are up...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a coal gas dynamic balance scheduling method based on an expert system in the coking industry and a system thereof which belong to the coal gas scheduling field and are used for solving a problem of coal gas supply and demand imbalance caused by coal gas supply and demand fluctuation. The system comprises a prediction model module, a coal gas supply and demand balance judgment module, an expert system balance scheduling module and the like. According to the method and the system, by using process mechanism modeling and regression analysis modeling, a coal gas related unit prediction model is established, coal gas generation amount, consumption amount and storage amount of a coal gas system in the future are predicted, and coal gas supply and demand balance is judged on the basis of the above. When the appearance of coal gas supply and demand imbalance is predicted, the expert system balance scheduling module gives a scheduling scheme, and a scheduling staff is assisted to make a scheduling decision timely and accurately. According to the method and the system, the increase of scheduling and management levels of a coking enterprise coal gas system is facilitated, the predication and accuracy of coal scheduling are raised, and an energy-saving and emission-reduction target is realized.

Description

technical field [0001] The invention belongs to the field of gas dynamic balance dispatching, in particular to an expert system dynamic balance dispatching method and system based on prediction data of gas production, consumption and buffer units in the coking industry. Background technique [0002] Coke oven gas is a by-product of the coking process in the coking industry. In different regions, different cities, and different enterprises, coke oven gas is used in different ways. The coke oven gas in the independent coking industry can be used not only as fuel, but also as chemical raw materials. Coke oven gas is used as fuel, and users (called gas consumption units) include urban civil users, industrial gas users (such as coke ovens), and gas power generation users (such as boilers); as industrial raw materials, users (gas consumption units) include the production of synthetic ammonia, Urea, methanol, dimethyl ether, etc. However, the production capacity of coke oven gas ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q10/00G06Q50/06
CPCY02P80/10
Inventor 邢立立王学雷孙绪彬
Owner 北京三博中自科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products