Intelligent Sintering Blending System

In traditional sintering production, the calculation and adjustment of sintering blending are mainly carried out by the reverse method which results in unstable ingredients and not timely adjustment. It is easy to make the product index fluctuate greatly, which affects the quality of the product.

According to the inspection data of incoming raw materials, combined with the blending model in the expert system, the blending scheme can automatically be given, and combine the inspection and laboratory data in the production process to give the blending adjustment suggestions. The system can realize the adjustment results are directly sent to the control system without manual participation, fully realize the automatic operation and production.

Sintering Raw Material Composition Forecast System

In China, the variety of sintering raw materials is complex and the composition fluctuates greatly, and the sintering process has the characteristics of large lag, multi-coupling and complex dynamic process, which makes it difficult to accurately control the chemical composition of sintering raw materials. The sintering raw material composition forecasting system effectively solves this problem.

The system uses neural network technology to establish a mathematical model, and combines the process parameters and chemical test results collected in real time during the production process to obtain the forecasting results of sintering material composition. Through the strong self-learning ability of the neural network, the mathematical model can be continuously improved, thereby continuously improving the prediction accuracy.

Sintering Expert Forecast System

Business Background

With the emergence of new equipment and the development of automation technology, the automation level of most domestic sintering plants has made great progress, and basic automation has been basically realized. However, in order to reduce the production cost of the enterprise, improve the product quality, stabilize the production process and reduce the labor intensity, it is difficult to make a major breakthrough only using basic automation.

The "intelligent expert system" generated by the combination of emerging artificial intelligence technology, big data analysis technology, cloud computing and other advanced technologies and traditional automation technology effectively solves the problem of batching quality control, sintering machine speed control, sintering end point, bellows temperature control, the main exhaust fan control, etc. difficult problems in process control, and at the same time, it can also give adjustment suggestions based on the test results.

Project Objectives

Constructing "intelligent expert system" in the sintering plant, it provides strong support for the steady, low energy consumption and sustainable development of sintering production.

Intelligent expert control module

Intelligent Analysis Module

Application benefit and effect

The expert system effectively solves the difficulties in traditional control, stabilizes the production process, ensures the quality of sintered ore products and effectively reduces energy consumption. The intelligent analysis provides decision-making basis for production personnel and managers.

Intelligent Control System for End-point of Sintering

The intelligent combustion end point control model is used to jointly participate in the control strategy according to the logical calculation of BRP (sintering rising point) and BTP (sintering end point) data. The variables of the sintering end point and the temperature of each bellows are analyzed and calculated in real time, and the speed adjustment of the sintering machine is obtained according to the comparison of the measured data and the control value, so as to realize the intelligent control of the production process of the sintering host.

Intelligent Sintering Ignition Control System

The ignition control model is used to control the gas and air flow online. When controlling the ignition energy, the sintering machine speed, the ignition temperature and the operating state are considered to achieve the best mixing ratio. On the basis of fully burning the gas, the ignition temperature and ignition intensity can reach the expected request.

The Intelligent Material Distribution Control System for Sintering Process

According to the speed of the sintering host machine and the average material thickness of the sintering machine trolley, the round roller distributor automatically adjusts the speed to control the blanking amount, and the hydraulic fine-tuning gate automatically adjusts the gate opening according to the material thickness uniformity, so as to achieve closed-loop controlling the material thickness of the trolley.

Automatic Ring Cooling trolley Control System

The system achieves automatic ash discharge through positioning the ash unloading trolley, weighing the ash unloading trolley, the PLC remote control the system and the optimization of the ash discharge system process. On the premise of meeting the requirements of the ash unloading process of the ring cooler, the labor intensity of workers is reduced, and the overall automation control level of the sintering production is improved.

Solution forUnattended Substation System

Background

The underground substation is an important component of the underground power supply system. The safe operation of the substation is related to the safe production and economic operation of the enterprise. Facing the complex geological conditions and harsh working environment underground, the unattended substation is to meet the development needs of the enterprise, which can effectively reduce the personnel number and reduce costs.

Target

In order to improve the automatic control level of the whole mine, improve labor productivity, monitor the production equipment, it should take corresponding technical measures to monitor electrical equipment and system parameters such as current, voltage, power, etc., as well as the operating status, forecast and monitor breakdown signals which would be sent to the control room through network.

System composition

Substation is set up at each level with a collection control station, which collects various data from the comprehensive protection system of the central substation and the multi-functional monitoring device system installed in the substation, and transmits the electrical data in distribution circuits such as current, voltage, power, etc. to the control system.

Communications network

Collect data from comprehensive insurance system and multi-function meter through RS485 or Ethernet

Acquisition control station

A control station is set up in the substation at each level, which can process the collected information, and can remotely stop and transmit power through the control station.

Monitor host

A monitoring host is placed in the surface control room to display real-time data of substations underground, which is used to set parameters, display alarms, remotely control power transmission, etc., and create production electricity reports.

System effect

Unattended high and low voltage distribution rooms;

Automatic data collection;

Remote power stop/start, reduce the labor intensity of personnel.