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Remote monitoring method of electric furnace with self-learning function

A remote monitoring and self-learning technology, applied in program control, computer control, general control system, etc., can solve the problems of difficult replacement of the controller, high manpower and material resources, frequent maintenance, etc., to achieve easy popularization and use, high work reliability , the effect of reducing the cost of human and material resources

Inactive Publication Date: 2018-11-23
陕西网铸互联网信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most electric furnaces in the prior art are controlled by setting controllers on site. On the one hand, workers are required to operate on site, which consumes a lot of manpower and material resources; on the other hand, one electric furnace needs to be equipped with one controller. The controller is not easy to replace, frequent maintenance, and high cost; how to use the least time, consume the least energy, and make higher-quality castings is also a difficult problem for electric furnace operating technicians

Method used

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  • Remote monitoring method of electric furnace with self-learning function
  • Remote monitoring method of electric furnace with self-learning function
  • Remote monitoring method of electric furnace with self-learning function

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0053] Such as figure 1 and figure 2 As shown, the electric furnace remote monitoring system with self-learning function in this embodiment includes a sensing terminal 1 for monitoring the working state of the electric furnace, a router 2 wirelessly connected and communicating with the sensing terminal 1, and a communication network with the router 2 Connected remote monitoring terminal 3, the number of the sensing terminal 1 is the same as the number of the electric furnace and is one, and a router 2 is wirelessly connected and communicated with a sensing terminal 1; the sensing terminal 1 includes a microcontroller module 1-1 and A wireless communication module 1-2 connected with the microcontroller module 1-1, the input terminal of the microcontroller module 1-1 is connected with a parameter setting circuit 1-3, which is used for real-time detection of the output current of the electric furnace A current detection circuit 1-4 and a temperature detection circuit 1-5 for re...

Embodiment 2

[0074] Such as image 3 and Figure 4 As shown, the electric furnace remote monitoring system with self-learning function of this embodiment is different from Embodiment 1 in that: the number of sensing terminals 1 is the same as the number of electric furnaces and there are multiple ones, one router 2 and multiple sensing terminals 1 Connect and communicate wirelessly. All the other structures are the same as in Example 1.

[0075] The method for remotely monitoring the electric furnace using the remote monitoring system of this embodiment is different from Embodiment 1 in that: in step 2, each sensing terminal 1 provided with a control ID number of a different electric furnace performs self-learning for controlling the electric furnace, and the remaining methods Steps are all the same as in Example 1.

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Abstract

The invention discloses an electric furnace remote monitoring system having an autonomous learning function. The electric furnace remote monitoring system comprises perception terminals, a router and a remote monitoring terminal. The number of the perception terminals is the same with the number of electric furnaces and there are one or multiple perception terminals and electric furnaces, and one router is wirelessly connected with one or multiple perception terminals. Each perception terminal comprises a microcontroller module, a wireless communication module, a parameter setting circuit, a current detection circuit, a temperature detection circuit, a switch control circuit and a power adjusting circuit. The invention also discloses an electric furnace remote monitoring method having the autonomous learning function. The electric furnace remote monitoring method comprises the steps that the firstly, the control ID number of the electric furnaces is set; secondly, the perception terminals perform autonomous learning of controlling the electric furnaces; and thirdly, the remote monitoring system performs remote monitoring on the electric furnaces. The electric furnace remote monitoring system having the autonomous learning function and the electric furnace remote monitoring method thereof are novel and reasonable in design, convenient to realize and convenient to use and operate so that cost is reduced, the casting efficiency is enhanced, the practicality is high and popularization and application are facilitated.

Description

technical field [0001] The invention belongs to the technical field of electric furnace control, and in particular relates to a remote monitoring method for an electric furnace with an autonomous learning function. Background technique [0002] Casting is a very basic industry. Casting parts are needed in all walks of life, which is the foundation of manufacturing industry. In the foundry, the electric furnace is the key equipment for smelting and heat preservation of cast iron, cast copper, aluminum, copper and other alloys. It mainly relies on the thermal effect of electromagnetic induction and eddy current to generate induced current in the melting alloy to heat and melt the alloy material. The electric furnace melting process is mature, and has the advantages of high energy utilization rate, fast melting speed, good quality, uniform chemical composition and easy adjustment. However, most electric furnaces in the prior art are controlled by setting controllers on site. O...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/042
CPCG05B19/0428G05B2219/24024
Inventor 车顺强刘安
Owner 陕西网铸互联网信息技术有限公司