System for statistical analysis and learning on working state of hydraulic hoist

Abstract

The invention relates to a system for statistical analysis and learning on working state of a hydraulic hoist. The system comprises functional modules of sensor signal log, an operation log, alarm information log, quick-wear part service life prompting, maintenance plan prompting, application state analysis, fault trend analysis, abnormal operation prompting and fault diagnosis learning. Through the adoption of the system, overall statistical analysis on the operation state, the learning on manual operation action, early warm prompting on abnormal operation, intelligent management on equipment application and maintenance and practical analysis and calculation on the service life of a quick-ware part are provided. The invention provides the overall hydraulic hoist working state statistical analysis and learning system, comprehensive handling on the equipment condition is ensured, and operation and maintenance on the hydraulic hoist with low cost and reliability are achieved.

Description

technical field [0001] The invention belongs to the technical field of automatic control of hydraulic equipment, and in particular relates to a statistical analysis and learning system for the working state of a hydraulic hoist. Background technique [0002] The hydraulic hoist is generally composed of a hydraulic station, a hydraulic cylinder, a hydraulic circuit and related electrical control systems. It is often used for the opening and closing operation of the gate, and its operation safety and reliability are of great significance. The hydraulic hoist mechanism is complex, involving multiple technical fields such as hydraulic pressure, machinery, electrical appliances, and structure, and is very specific. Its operation, daily maintenance, and fault inspection and repair have very high requirements for technicians, and it is often located in the Remote areas make it difficult for technical service personnel to quickly respond on site. [0003] At present, the operation ...

AI Technical Summary

Problems solved by technology

[0005] Fault maintenance: Manual inspection and maintenance are performed only when the equipment is damaged or cannot work normally. This method takes a long time for equipment downtime, requires high on-site operators, and high maintenance costs;

[0006] Maintenance control: The daily maintenance and operation control of the equipment is carried out manually by referring to the manual, the steps are cumbersome, the requirements for the users are high, and mistakes are prone to occur

This method is easy to cause waste of maintenance, and even cause hidden dangers in the maintenance process.

Moreover, equipment maintenance adopts a fixed cycle method, which cannot be completely consistent with the actual use status, and the equipment may break down between two maintenances, causing huge losses

[0007] The service life of the components of the current hydraulic hoist is generally based on the overall service time of the equipment, but in fact the service life of the sealing ring, support belt, hydraulic pump and other components is closely related to the actual working time and working intensity, regardless of the specific working conditions There is a large deviation between the life calculation method and the actual life of the component

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