Provider Service Architecture for Scalable Calculation Management

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current power management software in power monitoring systems lacks scalability, extensibility, and customizability, leading to inefficient data processing and delayed reporting due to duplicative calculations and lack of centralized management.

Innovation Solution

A provider service architecture with a ticket service and host service that manages and performs calculations efficiently by determining the appropriate provider, handling ticket requests, and storing results based on criteria, allowing for scalable and customizable calculations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If new modules are added to perform different calculations on measured data, then the functionality and adaptability of the power management software is improved, but the device complexity and implementation time increase significantly

Engineering Contradiction:
ImprovefunctionalityVSAvoidcomplexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal calculation engine that can perform multiple types of calculations through a standardized interface. The engine uses configuration files and scriptable providers to handle different calculation types without requiring separate software modules, thus achieving multi-functionality while maintaining system simplicity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The calculation engine is segmented into independent scriptable providers that can be individually configured and executed. Each provider handles a specific calculation type but all operate through a common framework, allowing the system to be extended by adding individual providers rather than entire modules.

Inventive Principle:
Principle #1Segmentation

2Ease of manufacture

If calculations are performed without centralized management, then the ease of implementation is improved, but the productivity and resource utilization deteriorate due to duplicative storage and calculations

Engineering Contradiction:
Improveease of implementationVSAvoidproductivity
Core Design Contradiction:
Ease of manufactureVSProductivity

Solution Approach 1:

The patent merges multiple calculation requests into a single centralized calculation engine. The engine maintains a cache of previously performed calculations and checks this cache before executing new calculations, eliminating duplicative work while maintaining ease of implementation through a unified management point.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The calculation engine performs preliminary checks by querying the cache before executing calculations. This preliminary action determines whether a calculation has already been performed, preventing redundant computations and improving productivity without complicating the implementation.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If multiple providers are used to perform calculations, then the adaptability and extensibility are improved, but the coordination and management complexity increases

Engineering Contradiction:
ImproveextensibilityVSAvoidmanagement complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a configuration file as an intermediary between multiple providers and the calculation engine. The configuration file defines which providers to use and in what order, allowing multiple providers to be coordinated without increasing management complexity. The engine simply reads and executes based on the configuration.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The calculation engine dynamically selects and chains providers based on configuration files and runtime conditions. This dynamic behavior allows the system to adapt to different calculation requirements by changing configurations rather than hardcoding provider selection logic, maintaining simplicity while achieving high extensibility.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS8984034B2Calculation engine and calculation providers
Publication Date: 2015.03.17 SCHNEIDER ELECTRIC USA INC
  • US8984034B2 patent drawing
  • US8984034B2 patent drawing
  • US8984034B2 patent drawing

AI summary

A method of acquiring data and performing calculations on the data using a provider service. A provider ticket service (PTS) receives tickets from one or more clients. Each ticket includes a calculation identifier and a payload. The calculation identifier identifies a calculation to be performed using information in the payload. The PTS associates a unique ticket identifier with each ticket. A ticket manager submits a selected ticket from the PTS to a provider host service (PHS), which determines which provider is to perform the calculation identified by the selected ticket by inspecting provider identification information in the selected ticket. The PHS launches a provider host thread (PHT) that invokes the provider determined to perform the calculation identified by the calculation identifier of the selected ticket. The provider performs the calculation and returns its result to the PHS, which passes the result back to the PTS, which returns the result to the requesting client.