Method for constructing safety early warning system
A security early warning system and construction method technology, applied in the field of security early warning system construction, can solve the problems of unsatisfactory connection and control of system security status, timely display of specific information of danger sources, inadequate management, etc., to achieve strong practicability and operability, avoiding safety accidents, and convenient operation
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Embodiment 1
[0021] The construction principle of the safety early warning system of the present invention is:
[0022] (1) The safety early warning system must be able to realize the integration of the production system.
[0023] (2) The early warning model should have strong practicability and operability.
[0024] The function of the safety early warning system of the present invention is:
[0025] (1) Analysis and evaluation function: the early warning system can realize the functions of evaluating, transforming and sorting out the safety warning index data.
[0026] (2) Early warning function: early warning is a mechanism for analyzing, evaluating, synthesizing, predicting and issuing warning information on the safety early warning indicator data in the production process. The early warning system judges the current operating situation of the system based on the collected safety monitoring information. And make a predictive judgment on the future situation, so as to decide whether t...
Embodiment 2
[0038] The actual work of the safety early warning system constructed by a construction method of the safety early warning system of the present invention is:
[0039] The main body of genetic wavelet neural network is neural network, the method of fuzzy mathematics is in order to improve the normalization degree of input data, and genetic algorithm and wavelet transform are in order to improve operating efficiency and accuracy of neural network, so according to the structure of BP neural network, the present invention The safety early warning system constructed with the neural network as the core is divided into three components:
[0040] 1) Import of monitoring data
[0041] The input layer collects data by building a complete safety indicator monitoring system, and transmits it to the system host through industrial Ethernet.
[0042] 2) Calculation part
[0043] The calculation part is the core part of the early warning of the genetic wavelet neural network model. The ear...
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