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Automatic monitoring of PC software development

Automatic monitoring of PC software development

作者: 由你创 阅读量:1239

Data from acquisition cards, PLCs, acquisition devices, or sensors is collected and analyzed using Python QT supervisory software development for corresponding chart display and data analysis, obtaining different operational states of equipment, and providing alarm prompts or other graded action operations for faults or anomalies that have occurred or are about to occur.

Main features of the development of automated monitoring supervisory software:

  • Stability: A mature technical system ensures stable software operation.
  • Smoothness: Microsecond-level real-time data acquisition, with massive data analysis without lag.
  • High Integration: The system is highly integrated, enabling efficient management across regions, businesses, and platforms for personnel, equipment, and business operations.
  • Ease of Operation and Maintenance: Simplifies operation processes in response to increasingly complex and sophisticated production processes and workflows, reducing training and maintenance costs.

Main functions of the development of automated monitoring supervisory software:

  • User Management: Manage and maintain basic user information (add, delete, modify, query).
  • Permission Management: Manage user data permissions and functional operation modules within various functional modules, allowing users to operate within their permission scope.
  • Data Acquisition and Control: Create acquisition tasks, manage collected data, and perform automatic output control based on process, logical, or algorithmic requirements.
  • Data Storage: Store user data and various collected data, such as process parameters, alarm information, operation logs, and program logs, into the database according to rules.

Service process for the development of automated monitoring supervisory software:

Here is the professional English translation:

Data from acquisition cards, Programmable Logic Controllers (PLCs), data acquisition devices, or sensors is collected and analyzed using Python QT for the development of supervisory software, which facilitates corresponding chart displays and data analysis. This process allows for the determination of various operational states of equipment and provides alarm prompts or other tiered action operations for faults or anomalies that have occurred or are imminent.

Key features of automated monitoring supervisory software development:

  • Stability: A robust technical framework ensures reliable and stable software operation.
  • Smoothness: Real-time data acquisition at the microsecond level with seamless analysis of large volumes of data.
  • High Integration: The system is highly integrated, enabling efficient cross-regional, cross-business, and cross-platform management for personnel, equipment, and operations.
  • Ease of Use and Maintenance: Streamlined operational processes cater to increasingly intricate and precise production processes, reducing the costs associated with training and maintenance.

Core functionalities of automated monitoring supervisory software development:

  • User Management: Administration and maintenance of fundamental user information, including adding, deleting, modifying, and querying.
  • Permission Management: Management of user data permissions and functional operation modules to ensure users operate within their authorized scope.
  • Data Acquisition and Control: Creation of data acquisition tasks, centralized management of collected data, and automatic control output based on process, logical, or algorithmic criteria.
  • Data Storage: Systematic storage of user data and various collected data, such as process parameters, alarm notifications, operational logs, and program logs, into a database following established protocols.

Service process for the development of automated monitoring supervisory software:

Automated monitoring supervisory software finds applications in a multitude of industries, with a particular emphasis on manufacturing, logistics sorting, and the field of instrumentation and equipment. It is extensively utilized in sectors such as mineral extraction and processing, chemical industries, food and beverage processing and manufacturing, tobacco logistics, pharmaceutical production, and the production of mechanical equipment.

With the ongoing advancement in automation, informatization, and intelligentization within the manufacturing sector, the costs associated with industrial labor are progressively rising. Supervisory software has become an essential component in the industry. Additionally, the ongoing growth and maturation of the technology service sector, specifically tailored to serve manufacturing, are further propelling the development of supervisory software and the intelligentization of manufacturing processes.

Unicrom is the premier choice for the development of automated monitoring supervisory software.

Unicrom is a high-tech company dedicated to the development of supervisory software for industrial automation. Our development team, consisting of over a hundred professionals, has accumulated years of experience in software development. We offer a full spectrum of industrial software development services, encompassing industrial control and data informatization, automated system control, instrument control and electrical measurement, as well as data acquisition and status monitoring.

Our expert service team merges sophisticated project management strategies with state-of-the-art software technologies. We deliver strong support for the application implementation and scientific research of products for businesses and research institutions, helping our clients to achieve tangible commercial value.

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