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Soft Measurement Method of Turbine Steam Flow

A technology of steam flow and soft measurement, which is used in the measurement of flow/mass flow, liquid/fluid solid measurement, measurement devices, etc. It can solve the problems of inaccurate indication and long use time of flow meters, and achieve the effect of improving stability.

Inactive Publication Date: 2011-12-21
CHINA PETROLEUM & CHEM CORP +1
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AI Technical Summary

Problems solved by technology

In the actual ethylene plant, because the flow meter has been used for a long time, the indication is often inaccurate; even many small compressor turbines and most pump turbines do not have steam flow meters, so an effective method is needed to calculate the turbine flow rate. flat steam flow

Method used

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  • Soft Measurement Method of Turbine Steam Flow
  • Soft Measurement Method of Turbine Steam Flow
  • Soft Measurement Method of Turbine Steam Flow

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Embodiment Construction

[0015] According to the tachometer for measuring the rotating speed of the turbine, the thermometer and the pressure gauge for measuring the steam at the inlet of the turbine and the extraction steam of the turbine; Accurate flow value. Using neural network technology, a soft measurement system for turbine steam flow is established. The soft measuring system is generally applicable to steam flow measurement using compressor turbines and pump turbines in ethylene plants.

[0016] Since the back propagation (BP, Back Propagation) neural network with a structure of more than three layers has the function of mapping any nonlinear function, here, a three-layer structure of the BP neural network is used to establish a soft sensor model of the turbine steam flow. Using the model variables selected above, construct the turbine steam flow neural network soft sensor model, such as figure 1 shown.

[0017] figure 1 Block Diagram of Turbine Steam Flow Neural Network Soft Sensor

[00...

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Abstract

Soft measurement method of turbine steam flow, using DCS system to measure turbine inlet steam pressure and turbine inlet steam temperature, select the turbine speed, turbine extraction temperature, and pressure at the same time as the input variables of the neural network model; select The backpropagation (BP, Back Propagation) neural network of more than three layers of structure gets the hourly average value to input variable, and carries out maximum error diagnosis, above-mentioned each variable is carried out normalization process; In described neural network model, input layer The number of nodes is i (i=5), the number of nodes in the hidden layer is j (2-100), and the number of nodes in the output layer is k (k=1-100); through the DCS system, the data of each input variable is collected in real time and continuously, and the training Good weights and thresholds are brought in and calculated, and denormalized to obtain the real-time prediction value of the steam flow of the turbine.

Description

technical field [0001] The invention belongs to the field of chemical measurement and instrumentation, and relates to a soft measurement method for steam flow rate of compressor turbines and pump turbines (hereinafter collectively referred to as turbines), which are important power sources in chemical production equipment. Background technique [0002] Steam is the main carrier for transferring heat energy in a thermal system. The steam pipe network system is mainly composed of steam generation, transportation, monitoring, control, use, reuse of waste heat and secondary steam, and recovery of condensed water. The safe, stable and long-term operation of the steam pipe network is very important to the production equipment of petrochemical industry. At the same time, steam, as one of the main energy sources in each production link of large-scale petrochemical enterprises, is the main aspect of enterprise energy consumption; ethylene plant is a petrochemical plant with high ener...

Claims

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Application Information

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IPC IPC(8): G01F1/00G06N3/02
Inventor 钱锋蒋勇赵亮魏家文叶贞成杜文莉李泽秋汤奇峰
Owner CHINA PETROLEUM & CHEM CORP
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