自20世纪60年代地理信息系统理论、技术和软硬件系统产生以来，已经在传统地学以及数字城市、智能交通、高科技战争等领域得到广泛应用。在全世界范围内，智能化矿山、智能化工厂的建设是大势所趋，与此相关的厂房、设备、零部件、工作环境也属于地理空间对象，而且这些实体之间也存在空间关系。为此，基于智能化矿山、智能化工厂日常生产对象的时空特性和管控需求，结合数字孪生、工业控制、大数据分析等技术，本文提出了工业地理信息系统(Industry Geographic information system, IGIS)的概念及数据模型，并在工业智能化的背景下，构建了包括设备层、数据采集传输层、IGIS平台层、业务服务层和应用决策层的框架体系。针对数据标准规范、时空数据协同处理、工业环境数字孪生、工业设备数字孪生、时空数据智能分析和组态控制等关键技术问题提出了解决方案，为实现智能化矿山、智能化工厂宏观微观空间对象的一体化拓扑表达、存储、分析和协同控制提供了统一的时态地理信息系统(TGIS)远程管控平台。该平台已经在我国多对煤矿的矿井和选煤厂得到了初步应用，验证了系统的实用性和可行性。

Since the emergence of Geographic Information System (GIS) theory, technology, and software and hardware systems in the 1960s, it has been widely applied in traditional geosciences, digital cities, intelligent transportation, high-tech warfare, and other fields. On a global scale, the construction of intelligent mines and intelligent plants is the trend, and the related workshops, equipment, components, and working environment are also geographical spatial objects, and there are spatial relationships among these entities. Therefore, based on the analysis of the current research and application status of traditional or existing GIS in the industrial field, this paper proposes the concept of Industrial Geographic Information System (IGIS). Based on the theory and methods of Temporal Geographic Information System (TGIS), IGIS comprehensively utilizes the information technologies such as the Internet of Things, big data, digital twins, and industrial control, facing the need of intelligent production and manufacturing in the industrial field, through expressions of spatiotemporal modeling and spatial relationship of the entire scene of industrial production, equipment subsystems or components, and the entire production process, constructs a bidirectional mapping and collaborative linkage framework between digital scenes and geographic physical scenes, to achieve data collection, transmission, storage, query, analysis, control, inspection, and collaborative work for the safety production process of industrial spatial objects, and to provide a visual remote digital twin control platform or system for intelligent plants, intelligent mines, etc. The research objects of IGIS have multidimensional characteristics such as macro and micro, static and dynamic, visualization and control, and industrial objects are in a dynamic changes and interconnected state, requiring feedback on both the digital and physical worlds, which is a complex giant system. This paper proposes a composite spatiotemporal object model for IGIS, which is elaborated in an object-oriented manner from three dimensions: (1) In the temporal change dimension, establish a spatiotemporal version of the spatial object, and record the entire spatiotemporal change process in version increments. (2) In the dimension of object features, following the geometric and attribute feature expression methods of traditional geographic information system, establish an extensible integrated expression system for geometry and attributes of macro and micro spatial object. (3) In the behavioral interoperability dimension, establish the behavioral state characteristics of various industrial spatial objects, based on the business process needs of various industrial objects, establish the response method of objects to their own attributes and external driving data. Based on the composite spatiotemporal object model, this paper designs key functional modules such as multi-scale data management, macro and micro integrated display, spatiotemporal object spatial analysis, industrial object adaptive response and control, and proposes the IGIS technical framework. On the basis of unified data standards, the framework from bottom to top includes equipment layer, data acquisition and transmission layer, IGIS platform layer, business service layer and application decision layer: (1) Equipment layer acts as both the data collector and the executor of decision execution information. (2) The data acquisition and transmission layer is a channel for connection and interaction between the equipment layer and the upper layer resources which is connected with the IGIS platform layer and the business service layer through the industrial network. (3) The IGIS platform layer is the core of the entire system, including various functions and modules to achieve adaptive response and intelligent control of industrial production processes. (4) The business service layer is responsible for the aggregation, storage, sharing, fusion, and intelligent analysis and processing of industrial production scene and process data. (5) The application decision-making layer is composed of intelligent comprehensive control centers established on many subsystems, completing intelligent production scheduling and command. Finally, key technical issues such as data standard specifications, spatiotemporal data collaborative processing, industrial environment digital twins, industrial equipment digital twins, spatiotemporal data intelligent analysis and configuration control were elaborated, and solutions were provided to achieve integrated topological expression, storage, and Analysis and collaborative control provide a unified TGIS remote control platform. The platform has been preliminarily applied in multiple coal mines and coal preparation plants in China, verifying the practicality and feasibility of the system.