SCADA Slave Interface Generation for Flexible EMS Data Mapping
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Solution Overview
Problem
Current SCADA interfaces for energy management systems are cumbersome to set up, fragile, and require extensive custom coding, leading to high project costs, fragility, and difficulties in maintaining data consistency and quality.
Innovation Solution
A method and apparatus for automatically generating a SCADA slave interface using a SCADA configuration file that maps SCADA data points to EMS data objects, employing an object access framework and SCADA binding framework to create communication protocol-specific bindings, reducing the need for custom coding and enhancing flexibility and consistency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional custom coding approach is used for SCADA interface setup, then flexibility in customization is improved, but device complexity and project costs increase
Solution Approach 1:
The patent uses template-based automatic generation to create SCADA slave interfaces. Pre-defined templates capture common interface patterns, allowing rapid deployment of standardized interfaces while maintaining customization capability through configuration parameters. This eliminates manual coding of routine interface elements while preserving adaptability for specific project requirements.
Solution Approach 2:
The system performs preliminary actions by pre-configuring interface templates with common SCADA protocols and data structures before actual project deployment. These templates contain pre-established mappings, data types, and communication patterns that are prepared in advance, significantly reducing on-site configuration complexity and setup time.
2Adaptability or versatility
If extensive custom coding is performed, then specific project requirements are met, but reliability and data consistency deteriorate
Solution Approach 1:
By using validated templates for interface generation, the system ensures that all generated interfaces follow consistent data structures, validation rules, and communication protocols. This template-based approach guarantees data consistency across different projects while still allowing customization through configuration, eliminating manual coding errors that would compromise reliability.
Solution Approach 2:
The automatic generation system incorporates validation mechanisms that check generated interfaces against defined standards and requirements. This feedback loop ensures that customized interfaces maintain data consistency and reliability by automatically detecting and correcting configuration errors before deployment.
3Adaptability or versatility
If manual SCADA interface configuration is used, then customization capability is improved, but ease of operation and setup time worsen
Solution Approach 1:
The system performs preliminary configuration work by preparing reusable templates that contain pre-defined interface structures, data mappings, and protocol configurations. These templates are created in advance with best practices embedded, allowing users to deploy interfaces quickly by simply selecting and configuring templates rather than building from scratch, dramatically improving setup ease while maintaining customization.
Solution Approach 2:
The template-based system creates multi-functional interface configurations that can serve multiple project types and SCADA platforms. A single template can be adapted to different energy management scenarios through configuration parameters, providing universal applicability that reduces setup effort while maintaining customization capability across diverse applications.
4Adaptability or versatility
If custom coding is required for each project, then specific data needs are met, but productivity and deployment speed deteriorate
Solution Approach 1:
The system performs preliminary work by pre-configuring interface templates with common data structures, mappings, and protocols specific to energy management systems. These templates encapsulate project-specific data requirements that recur across multiple deployments, allowing rapid replication and acceleration of deployment speed while maintaining the ability to meet specific data needs through configuration.
Solution Approach 2:
The templates are designed to be universally applicable across different energy management projects and SCADA platforms. A single template framework can accommodate various data requirements by adjusting configuration parameters, enabling the system to meet project-specific needs without requiring custom coding for each deployment, thereby significantly improving productivity.
Data Source
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AI summary
A computer implemented method at an energy management system (EMS) controller apparatus for automatic generation of a SCADA (supervisory control and data acquisition) slave interface for an energy management system (EMS), comprising storing a SCADA configuration file mapping SCADA data points to EMS data objects, providing site configuration information of the energy management system (EMS); scanning, by an object access framework (OAF), EMS data objects with EMS annotations and combining them with the site configuration information to generate an object binding repository (OBR); and compiling, the SCADA configuration file to combine the SCADA data points mapping with the object binding repository to generate SCADA bindings information as a part of the SCADA slave interface for the energy management system (EMS).