Production monitoring method and system

Abstract

The invention discloses a production monitoring method and a system. The method comprises steps that: production information of a set is acquired before operation of the set, key parameter information is grasped from the acquired production information of the set, the key parameter information is matched and checked according to inputted set information, an operation flow of the set is generated, and the set information and operation accomplishment state data are stored; after operation of the set, operation self-check and mutual operation check are carried out according to the generated set operation flow, the stored set information and the stored operation accomplishment state data, and the production process is monitored. Through the method and the system, grasp, check and transmission control on key parameters in the production process are carried out, disadvantages caused by artificial detection are avoided, production process informatization is further realized, and information traceability and management quality are improved.

Description

technical field [0001] The invention relates to the field of mechanical automation control, in particular to a production monitoring method and system. Background technique [0002] At present, the traditional manual inspection and checking method is still used to monitor the process and equipment in the air-conditioning production process, but the manual inspection and checking method has the following disadvantages: [0003] 1. Manual input control and inspection and verification methods are greatly affected by the emotional state of the personnel, especially when the shift personnel are fatigued, misoperation and inspection failure are prone to occur, and the operation and inspection methods are uncontrollable; [0004] 2. The timeliness of this method of relying on personnel to discover and feed back the abnormal quality of the production process is poor, and at the same time, there are problems of no feedback or delayed feedback due to the emotional state of personnel; ...

AI Technical Summary

Problems solved by technology

[0003] 1. Manual input control and inspection and verification methods are greatly affected by the emotional state of the personnel, especially when the shift personnel are fatigued, misoperation and inspection failure are prone to occur, and the operation and inspection methods are uncontrollable;

[0004] 2. The timeliness of this method of relying on personnel to discover and feed back the abnormal quality of the production process is poor, and at the same time, there are problems of no feedback or delayed feedback due to the emotional state of personnel;

[0005] 3. The production process information is basically filled in and checked by paper-based personnel, and the process quality information cannot be effectively counted and managed, which is not conducive to quality data statistics and analysis;

[0006] 4. The current paper-based information mode makes it difficult to trace the production process and after-sales information, and the information traceability is poor

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