Fault/potential hazard knowledge base system and establishment method

Abstract

The invention provides a fault / potential hazard knowledge base system and an establishment method. The method comprises the steps of classifying common faults and potential safety hazards of equipment, and establishing codes according to a quantity of classification types; and automatically judging fault reasons, fault positions, repair measures and the like of the equipment according to the fault / potential hazard knowledge base system, and when the fault reasons, the fault positions, the repair measures and the like of the equipment are inconsistent with preset fault mode or potential hazard phenomenon information, adding fault modes or potential hazard phenomena in a manual input mode and inputting the added fault modes or potential hazard phenomena to an equipment fault and potential safety hazard knowledge base. The centralized storage of fault information / potential hazard check standard data is realized; a structured collection of information resources is formed; a fault / potential hazard knowledge base based on universal equipment / industry classification is formed; the structured management of related knowledge experience is facilitated; the value of equipment management and maintenance knowledge is extended; the accuracy and working efficiency of identification and maintenance are improved; and the waste of social information resources is avoided.

Description

technical field [0001] The invention relates to the technical field of enterprise training management, in particular to a fault / hidden danger knowledge base system and establishment method. Background technique [0002] Most of the domestic hazardous chemical manufacturers are large-scale process industrial enterprises with various types of equipment and complex production processes. Equipment emergencies or failures occur frequently. The daily inspection process will also identify a large number of hidden dangers. The traditional single-point recording mode of faults and hidden dangers only lists each fault event and hidden danger situation separately, while the decision-making in fault identification, equipment maintenance, and hidden danger rectification basically relies on the experience accumulation and precepts of equipment maintenance personnel. For equipment The quality requirements of management and maintenance personnel are relatively high. If the knowledge level a...

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Problems solved by technology

[0003] There are the following difficulties in equipment maintenance and hidden danger investigation and management: equipment failure identification and hidden danger investigation and management are systematic tasks involving a very wide range of knowledge, and grassroots staff usually do not have such knowledge reserve conditions and do not know how to carry out work; the collection of equipment failure and hidden danger data is the most basic work for the establishment of information system operation, and traditional knowledge sorting and data entry are very heavy tasks; at present, there is no unified system structure for equipment failure response and hidden danger investigation and management. The workload is very huge, which cannot be completed by relying on a single research institution or production and operation unit, and cannot form a public information resource for the whole society, resulting in serious waste of governance experience and repeated investment

[0004] Considering the actual situation of enterprises in various industries, such as various types of equipment, diversified hidden dangers, frequent occurrence of equipment emergencies or failures, etc., if the knowledge of equipment failures or hidden dangers is to be managed in the unified knowledge base, the way of directly coding the failures or hidden dangers may be There are problems such as too long coding code bits and difficulty in fast collection. At the same time, the coding system based solely on the event cannot quickly analyze the law of event occurrence (such as equipment type and fault triggering factors) with certain indicators, and it is also difficult to analyze different types of events. Enterprises provide guidance on identification and governance measures with direct reference value

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