Scene perception system and method for digital twin workshop
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A scene perception and workshop technology, applied in the field of scene perception system, can solve problems such as insufficient, difficult to obtain effective information, low processing efficiency, etc., and achieve the effect of eliminating hidden contradictions
Pending Publication Date: 2019-05-21
SHANDONG UNIV
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Problems solved by technology
Workshop information technology provides a large number of data sources for the realization of intelligent manufacturing. However, due to the complexity of workshop equipment and the environment, the obtained state data is usually complex, coupled, and time-varying, and there is a problem of "big data, small information". Directly use these data to build data sets for intelligent decision-making, which is prone to low processing efficiency and difficult and insufficient effective information acquisition
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Embodiment 1
[0048] A scene awareness system for digital twin workshops, such as figure 1 As shown in , including sequentially connected data acquisition module, scene awareness module, and data mining module;
[0049] The data acquisition module is used to obtain the information data of the CNC workshop. The information data of the CNC workshop includes personnel information, machine information, product information and environmental information. The personnel information includes the operation time and the location of the personnel. Machine temperature, product information includes number of pieces and surface quality, environmental information includes ambient temperature, ambient humidity;
[0050] The scene perception module is used to preprocess the CNC workshop information data obtained by the data acquisition module, and store the preprocessed data in the database for subsequent application algorithms and model instantiation; at the same time, construct the CNC workshop ontology mo...
Embodiment 2
[0056] A scene perception method for a digital twin workshop, comprising the following steps:
[0057] (1) Obtain personnel information, machine information, product information and environmental information;
[0058] (2) Preprocess and save personnel information, machine information, product information, and environmental information, and build a hierarchical representation of the ontology model and its corresponding relationship, eliminate potential contradictions through ontology reasoning, and use the preprocessed and saved data to carry out Instantiate operations to obtain high-level context information; save CNC workshop information data, preprocessed data, and high-level context information for query and call; such as figure 2 shown.
[0059] (3) Information decoupling of high-level context information is carried out through mining algorithms, and the potential relationship between data and faults and operation optimization is discovered. like image 3 shown.
[00...
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Abstract
The invention relates to a scene perception system and method for a digital twin workshop. The scene perception system comprises a data acquisition module, a scene perception module and a data miningmodule which are sequentially connected. The data acquisition module is used for acquiring numerical control workshop information data. The scene sensing module is used for preprocessing the numericalcontrol workshop information data acquired by the data acquisition module. Constructing a numerical control workshop body model, constructing a hierarchical relationship among the data, eliminating contradiction information through ontology reasoning detection, and loading the previously stored preprocessed data into the numerical control workshop body model to realize instantiation of the numerical control workshop body model. And the data mining module is used for mining potential association in the data by operating a mining algorithm required by a user. According to the method, the sceneperception technology and the ontology modeling technology are utilized, the problems of big data and small information existing in the manufacturing process are solved, the digital twin workshop model is updated in real time, and the method can serve as a basis for subsequent operation such as fault prediction and target optimization.
Description
technical field [0001] The invention relates to a scene perception system and method for a digital twin workshop, specifically a perception strategy for efficiently, accurately and autonomously collecting, analyzing, processing, storing and utilizing data in a manufacturing environment, belonging to large Data processing and context awareness technology field. Background technique [0002] Digital Twin is a simulation process that makes full use of physical models, sensor updates, and operating history to integrate multi-disciplinary, multi-physical quantities, multi-scale, and multi-probability simulation processes, and completes the mapping in the virtual space to reflect the corresponding physical equipment. technology throughout the lifecycle process. [0003] At present, workshop information technology has become mature, and its development is to pursue processing automation, improve product processing accuracy, and reduce labor intensity of workers. Workshop informat...
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