Pressure detection intelligent management system and method based on Internet of Things
An intelligent management system and Internet of Things technology, applied in the field of pressure detection intelligent management system based on the Internet of Things, can solve the problems of difficult digital management, equipment operation and maintenance that cannot be monitored in real time, achieve low error rate, improve equipment use efficiency and High level of production management and high system stability
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Embodiment 1
[0055] Embodiment 1 (Taking a system management host as an example)
[0056] An intelligent management system for pressure detection based on the Internet of Things, including a central processing unit and several front-end machines, each of which is signal-connected to a front-end machine for material distribution information, a front-end machine for pressure testing machines, and a front-end machine for retaining information on specimens;
[0057] The front-end computer for feeding and distributing information includes a data acquisition module for feeding and distributing materials, a field control module for feeding and distributing materials, and a communication module for feeding and distributing materials;
[0058] The feeding and distributing data acquisition module is used to obtain the position information of the test piece in the feeding and distributing equipment, the quantity information of qualified test pieces and the operation information of the feeding and dist...
Embodiment 2
[0072] The extraction method of the fault feature in the central processing unit is as follows:
[0073] E=W 1 α+W 2 β+W 3 gamma
[0074] α=q 1 j 1 +q 2 j 2 +…+q n j n
[0075]
[0076] β=l 1 u 1 +l 2 u 2 +…+l n u n
[0077]
[0078] γ=m 1 b 1 +m 2 b 2 +…+m n b n
[0079]
[0080] Among them, E is the fault output value, W i is the preset weight, α is the fault value obtained by the front-end computer of the feeding and distributing information, β is the fault value obtained by the front-end computer of the pressure testing machine, γ is the fault value obtained by the front-end computer of the retained information of the specimen, q i is the specific fault feature of the feeding and distributing equipment, j i for q i Corresponding default weight, l i is the specific fault feature of the pressure testing machine, u i for l i Corresponding preset weight, m i Reserve the specific fault characteristics of the equipment for the test piece, b...
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