Pig farm equipment life cycle prediction method based on time sequence signals

Abstract

The invention discloses a pig farm equipment life cycle prediction method based on time sequence signals, and the method comprises the following steps: 1, building a complete database system, classifying equipment information, and bringing the equipment information into the database system (basic data, maintenance data, maintenance data and operation data); according to the method, the fault frequency, the repair frequency, the maintenance frequency and the maintenance frequency of the pig farm equipment in the corresponding period and the fault, repair, maintenance and maintenance time of the pig farm equipment are counted in a classified manner; the time sequence signals are combined to evaluate and judge the number of faults, the number of times of maintenance, the number of times of maintenance and the number of times of faults, maintenance, maintenance and maintenance time of the pig farm equipment in the putting and using process through the time sequence signals, and then verification is carried out on recorded results marked by the time sequence signals of the equipment of the same type; in this way, the purpose of predicting the life cycle of the subsequent pig farm equipment can be achieved.

Description

Technical field [0001] The present invention belongs to the field of lifecycle prediction technology, and specifically, the life cycle prediction method of a pig farm device based on timing signals. Background technique [0002] The pig farm equipment is a general name of special machinery, tools and internal facilities used in maternal pigs, piglets, pigs and soy sauce. The variety and type of equipment required for pig fields, due to the high and low of the scale of the pig farm, the size, production level, and mechanized level, mainly including pigbers, feeding equipment, automatic water dispenser, deny equipment and Pig manure treatment equipment, etc. The equipment life period refers to the total length of time length that is finally exited by the device functionality from the start of the device function. An important indicator for measuring the ultimate exit use is reliability. [0003] In order to cope with the possible fault problems in the future, it is better known tha...

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Problems solved by technology

However, the traditional monitoring system seldom considers that the failure rate of the equipment changes in stages during long-term operation. It only predicts the current state of the equipment through the monitored sequence data of the equipment status of the pig farm, and thus cannot predict the life of the equipment in the pig farm. Cycle prediction affects the normal use of pig farm equipment

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