Production monitoring

Factory production monitoring is integrated with DCS, LIMS, real-time database and other systems to provide enterprises with device monitoring, tank farm monitoring, incoming and outgoing monitoring, warehouse monitoring and other functions to achieve production monitoring without dead ends in the entire plant. Factory production monitoring can help production-related departments to accurately and quickly adjust production plans, direct production, and provide strong support for enterprise production operations to improve enterprise production efficiency.

Smart Warehousing

Smart warehousing is a warehousing management concept. It is a smart logistics realized through informatization, Internet of Things and mechatronics, thereby reducing warehousing costs, improving operational efficiency, and enhancing warehousing management capabilities. Intelligent warehousing is a part of the logistics process. The application of intelligent warehousing ensures the speed and accuracy of data input in all aspects of cargo warehouse management, ensures that enterprises can grasp the real data of inventory in a timely and accurate manner, and reasonably maintain and control enterprise inventory.

Solution

01. Integrated platform

The integration platform is based on the core database, provides a unified factory model, business model and rule model, realizes user access authentication through control technology, and realizes integration with external systems (real-time database, LIMS, sensing equipment) and data support services.  

02. Device management

According to the system model, the mobile link with the direct supply relationship between the incoming and outgoing factory and the device is established, and the real input and output data are calculated and calculated through the on-site instrument to ensure that the input and output data of the device are consistent with the actual production situation.

03. Tank farm management

Utilize the real-time data access service and laboratory analysis data access service provided by the data integration platform, integrate the real-time inspection data and laboratory analysis data of storage tanks on demand, provide data management services such as storage tank receipt and payment accounts, and provide the required data during the statistical period. of storage tank inventory measurement data.

04. Warehouse management

Warehouse management realizes inventory management based on location, realizes warehousing material management based on product grade level, and realizes material movement management in the whole process from warehousing, moving to warehousing of solid products.

05. Inbound and outbound management

Carry out system payment and payment linkage for all incoming and outgoing data, and obtain the actual incoming and outgoing data of related materials through instrument collection and calculation.

06. Scheduling management

Scheduling management is based on the node quantity and movement relationship of the system model. Using the algorithm library provided by the system, the dynamic generation of node topology model and the calculation of node quantity balance are automatically completed, so as to achieve the balance of the enterprise's scheduling level, realize the human-computer interaction in the production balance process, and improve the Balance efficiency, reduce the balance cycle, and provide data support for production scheduling.

07. Statistical management

Statistical management dynamically generates the logical node topology model based on the push results of dispatch management, and completes the statistical balance push based on the rule base, model base and algorithm base, and realizes the input, output and output of factory materials based on physical inventory and settlement volume. Statistics of various indicators, and ultimately achieve seamless connection with the financial system.

08. Report statistics and display

Display and summarize the data generated by the system, and actually analyze the output at different times and under different summary conditions to do trend analysis. High scalability, various data summaries can be displayed for historical production data, and data can be displayed from various angles.