System and method for automatic reporting of chemical composition between steel quality and sap system

Abstract

The invention provides an automatic reporting system for steel quality and chemical composition among SAP (service access point) systems and an automatic reporting method for the steel quality and the chemical compositions among the SAP (service access point) systems. The system consists of an analyzer data acquiring module, a data storing module, a status setting module, a tread managing module and a data reporting module in a steel quality system, and a remote procedure call module in an SAP system; the analyzer data acquiring module acquires chemical composition analysis data from a serial port of a fluorescence and spectrum analyzer and submits to the data storing module to be stored, the status setting module sets an 'un-reported' or 'reported' status, and the tread managing module reads the chemical analysis data of which the status is 'un-reported', transmits to the data reporting module, and reports to the remote procedure call module. The running of the invention is supported by a network and a database resource, the chemical composition analysis data and the operation log are stored, and the operations are automatically completed and reported timely and exactly.

Description

technical field [0001] The invention relates to a method for externally reporting the quality chemical composition data of iron and steel enterprises, in particular to a method for automatically reporting chemical composition data between the quality system of the iron and steel enterprise and the SAP system. Background technique [0002] At present, the method of reporting the chemical composition data of the steel enterprise quality system to the enterprise resource planning (SAP) system is mainly by recording the chemical composition data in an Excel file and reporting the data through the DBA calling the remote process interface. The main disadvantages of this processing method are: (1) The timeliness of operation cannot be guaranteed, and the operator cannot ensure that the data is reported in time when the system is ready to receive data. (2) The correctness of the data cannot be effectively verified. Manual data entry will inevitably lead to human error, and there is ...

AI Technical Summary

Problems solved by technology

The main disadvantages of this processing method are: (1) The timeliness of the operation cannot be guaranteed, and the operator cannot ensure that the data is reported in time when the system is ready to receive data

(2) The correctness of the data cannot be effectively verified. Manual data entry will inevitably lead to human error, and there is no verification mechanism for quality data in Excel, so the correctness of the reported data cannot be guaranteed

(3) The data reporting record cannot be saved. If there is an error in the reported data and the data reporting fails, there is no effective way to record the operation log, which is not convenient for data analysis

(4) There is no system coherence. Since it is a single Excel operation, the follow-up business process can only be operated by manual notification

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