Forklift power supply control system and method based on identity recognition

Abstract

The invention discloses a forklift power supply control system and method based on identity recognition. The method includes: selecting a corresponding starting manner according to the type of a carried key; using an identity recognition card reader to detect an identity card held by an operator and provides the detected identity card information for a mainframe so as to perform verification and discrimination; using the mainframe to perform matching verification on the detected identity information and pre-stored information, and if the verification succeeds, controlling a lower computer indirect starting contactor to turn on a power supply; if the verification fails, transmitting the detected identity information to a remote background server for final verification, and feeding back theverification result to the mainframe. Compared with a method using paper attendance list recording and common key and button type starting, the control system and method has the advantages that the features of power supply control using the identity recognition is comprehensively considered, the on and off of the power supply is controlled by configuring a power supply control strategy, the systemand method can meet enterprises' requirements on safety monitoring and staff attendance, and the needs for lowering operation cost and increasing staff work efficiency of most enterprises are satisfied.

Description

technical field [0001] The invention relates to an identification-based forklift power supply control system and method. Background technique [0002] With the introduction of Industry 4.0 and the gradual advancement, in large-scale industrial production, companies are paying more and more attention to the safety and efficiency of forklift operators. Whether in China or abroad, almost all enterprises have extremely strict regulations for the standardization of workshop operations. However, if this is the case, there are still some problems in the industrial production at the present stage, such as: [0003] Insufficient management personnel: The number of large forklifts continues to increase, and the parking locations of forklifts are becoming more and more scattered, and the problem of insufficient management personnel is becoming more and more prominent; [0004] Lack of effective management mechanism: At present, most factory production workshops do not have a network ...

AI Technical Summary

Problems solved by technology

[0003] Insufficient management personnel: The number of large forklifts continues to increase, the parking locations of forklifts are becoming more scattered, and the problem of insufficient management personnel is becoming more prominent;

[0004] Lack of effective management mechanism: At present, most factory production workshops do not have a network management platform, which requires manual management by administrators, which cannot guarantee high-quality internal and effective supervision;

[0005] It is difficult to be accountable for forklift failures: most of the forklift usage records are still in paper form records, and the statistics of equipment usage cannot be automatically and accurately collected. The source of failure cannot be traced, and it is difficult to be held accountable;

[0006] The collection of performance appraisal data is cumbersome: forklift performance appraisal data such as machine hours and operators need to be reported to the management department on a regular basis, and equipment administrators often need to spend a lot of time collecting the use records of each forklift and manually filling in relevant data, which not only increases labor and time cost, the obtained data also lack objectivity and accuracy

[0007] However, similar starting methods currently on the market all have such or such shortcomings.

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