overview

The SiPHD historical database software system is a new generation of industrial historical database software system with independent intellectual property rights of Shanghai Automation Instrument Co., Ltd. Dahua Instrument Factory DCS Company. It has the characteristics of high reliability, high security, high-speed network, and flexible configuration, and is widely used in fields such as power, petroleum, chemical, metallurgical, environmental protection, and rail transit.
Overview of SIPHD Historical Database Software System
The SiPHD historical database software system is based on the MS Windows operating system and utilizes a comprehensive human-machine interface software and management configuration software to achieve the functions of collecting, storing, querying, displaying, and analyzing real-time industrial production data.

System software architecture

System performance characteristics
Adopting an open architecture and distributed system design to meet the requirements of comprehensive enterprise information applications.
Provide dual machine hot standby or cluster mode to provide high reliability applications.
The total number of database tags can be configured according to the size of the enterprise, and the configurable tag quantity of the system should not be less than 1.5 to 2 times the input tag quantity.
Supports historical data storage for three basic data types: floating-point, integer, and boolean.
Provide character based log storage.
Provide SDK and OPC server to collect production process data.
The data is compressed using arithmetic methods such as dead zone and rate of change, and the compression error can be controlled. At the same time, the internal storage is encoded and compressed using the LZO algorithm.
Provide SDK interfaces to support secondary development and real-time computing.
Efficient data retrieval method, even for long-term data retrieval, its query speed can be completed in a short period of time.
Data labels can define all typical data types in the process industry, reflect all attributes of process data, and can be configured individually or in batches; Can provide online maintenance functions for data tags, including creating, updating, deleting, and querying data tag points.
• Support role-based user permission management, where users can only manage or use the database within their authorized scope.
Provide operational management, auditing, and logging functions.
Provide convenient human-machine interface software that can display and query data in the form of flowcharts, curves, reports, etc.