Industrial GIS Platform for Real-Time Spatio-Temporal Production Control
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Solution Overview
Problem
Traditional geographic information systems lack integrated expression and real-time dynamic data support for industrial production processes, failing to provide collaborative linkage control of microscopic and fine scenes in industrial environments, such as intelligent mines and plants.
Innovation Solution
An industrial geographic information system comprising a device acquisition control end, a spatio-temporal big data processing end, and an industrial geographic information system platform end, which acquires and processes real-time data from sensors and devices, performs data cleaning and storage, and uses a composite spatio-temporal object model for visualization and collaborative control of industrial production scenes and processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional geographic information systems are used for macroscopic geographic environment visualization and navigation, then spatial positioning and visual appearance are achieved, but fine expression of geographical spatial scenes and spatial objects inside and outside devices, real-time transmission and synchronization of geographical and device information, and collaborative linkage between subsystems are insufficient
Solution Approach 1:
The system segments spatial information into multiple levels: macroscopic geographic environment and microscopic device interior scenes. Different rendering engines handle different scales, allowing detailed expression of both overall spatial relationships and fine spatial objects without information loss at any level.
Solution Approach 2:
The patent introduces a new dimension of spatial expression by integrating microscopic fine scenes (device interior, component level) with macroscopic geographic scenes. This multi-dimensional spatial expression capability enables comprehensive visualization from continental scale down to device component scale, preventing information loss across different spatial resolutions.
2Quantity of substance
If traditional geographic information systems focus on multi-dimensional coordinates for spatial positioning, then real geographical position coordinates are reflected, but integrated expression and application support of the whole process of all spatial objects in industrial production process from the bottom layer is lacking
Solution Approach 1:
The system creates a universal spatio-temporal big data processing framework that handles multiple data types (geographic coordinates, device status, production parameters) through unified processing methods. This multi-functional platform supports various industrial production processes including mining, manufacturing, and logistics, enhancing adaptability while maintaining comprehensive data coverage.
Solution Approach 2:
The patent introduces spatio-temporal big data as an intermediary layer between physical spatial objects and digital representations. This intermediary enables integrated expression of the whole production process by mediating between geographic information, device data, and production processes, allowing comprehensive analysis and control across all spatial objects.
3Speed
If traditional geographic information systems provide spatial query and analysis capabilities, then navigation and positioning are achieved, but real-time synchronization and cooperative processing of geographic physical space and digital space in the industrial field are lacking
Solution Approach 1:
The system implements continuous real-time data collection, processing, and synchronization through spatio-temporal big data processing. The continuous operation of data acquisition, cleaning, caching, and distribution ensures uninterrupted synchronization between physical and digital spaces, maintaining both high speed and reliability simultaneously.
Solution Approach 2:
The patent establishes feedback mechanisms where spatio-temporal analysis results are continuously fed back to update the digital twin and trigger automated control actions. This closed-loop feedback system ensures real-time synchronization reliability by continuously adjusting the digital representation to match the physical state and enabling cooperative processing between physical and digital spaces.
4Ease of operation
If traditional geographic information systems lack precise control on industrial devices, then macroscopic visualization is maintained, but adaptive cooperative processing of production process is insufficient
Solution Approach 1:
The system enables self-service automation where the spatio-temporal analysis system automatically detects spatial relationships, identifies production issues, and triggers control actions without human intervention. The automated workflow includes automatic data collection, analysis, decision-making, and device control, achieving high extent of automation while maintaining ease of operation through automated processes.
Data Source
AI summary
The industrial geographical information system relates to the field of industrial production intelligent management and control and comprises a device acquisition control end, a spatio-temporal big data processing end and an industrial geographical information system platform end. Based on a spatial data unified management and analysis framework of the geographic information system, various sensors, monitoring devices and mobile devices in an industrial production environment are acquired to perceive real-time data, and the real-time data are cleaned, denoised, cached, distributed, stored and processed permanently. Various types of static spatial data are import and entered, a composite spatio-temporal object model is employed to make macroscopic and microscopic visualization, collaborative processing update, spatio-temporal analysis and linkage analysis of industrial production scenes and processes, and collaborative joint control of industrial production processes and devices are conducted based on the device acquisition control end.