An intelligent control system and method based on type II fuzzy cognitive map

Abstract

The invention discloses an intelligent control system and method based on a type-two fuzzy cognition graph. The system comprises a data acquisition module for collecting and extracting device energy consumption data in a concentrator, a storage management module for storing and processing the device energy consumption data, a control module for issuing an instruction to the concentrator and controlling a device operation state through the concentrator, a data analysis and prediction module and a service management module, wherein the data analysis and prediction module uses a type-two fuzzy cognition graph model to establish a prediction model based on historical device energy consumption data collected by the data acquisition module, predicts the energy consumption value of a device at anext time node and compares the energy consumption value with an actual energy consumption value, and then provides an alarm service and dynamically controls the device through the control module; andthe service management module collects and displays device energy consumption information and an operation state so that a terminal user can check, operates and controls a device switch. The system intelligently controls the operation state of the device through sequential prediction and provides an alarm service when the device generates an unexpected condition.

Description

technical field [0001] The invention relates to the field of the Internet of Things and control systems, in particular to an intelligent control system and method based on a Type II fuzzy cognitive map. Background technique [0002] In recent years, my country's energy demand has grown geometrically with rapid development, population increase and urban development. With the adjustment of the national energy policy, building a conservation-oriented energy society is an important direction for future development. At the same time, the development of Internet of Things technology provides important technical support for the implementation of energy conservation and emission reduction policies. Modbus, ZigBee and other protocol technologies are becoming more and more mature, allowing devices to be connected to the network, realizing functions such as information collection, information input, information output, and centralized control of equipment, which is convenient for rele...

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Problems solved by technology

[0003] However, in order to achieve the effect of energy saving and emission reduction, in terms of optimal control of equipment, the existing system mainly focuses on the operation control strategy, by manually configuring the operation strategy of the equipment, such as turning on or off the equipment at regular intervals; or monitoring the operating status of the equipment in real time Whether the expected upper limit is exceeded, alarm measures are enabled, but this expected upper limit is also manually set

However, in the real life production environment, the operation strategy of the equipment may not be fixed, especially when the equipment fails during the operation process, it is even more difficult to control the equipment

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