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1.发明公开公开(公告)号：US20240296174A1
公开(公告)日：2024-09-05
申请号：US18556618
申请日：2022-03-30
IPC: G06F16/28
CPC classification number: G06F16/285 , G06F16/288
Abstract: The present invention relates to a management method and a device for hazardous chemicals and a construction method of a management database. The construction method comprises following steps: determining a plurality of entities involved in entire lifecycle of hazardous chemicals; classifying the plurality of entities to define a plurality of entity classes involved in the management database; defining a plurality of relationship classes according to one or more relationships involved between every two of the entity classes; using the relationship from one or more of the relationship classes to constrain the relationships between every two entities, so as to construct an ontology of the database; and importing actual data of the hazardous chemicals throughout their entire lifecycle into the ontology, so as to carry out instantiation of the ontology. By implementing this construction method, a management database for hazardous chemicals can be obtained, which can break the island phenomenon of multi-field data by integrating and fusing the multi-filed data throughout the entire lifecycle of hazardous chemicals, thereby achieving the effects of reasonable resource allocation, dynamic warning and supervision, and emergency linkage.
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2.发明申请公开(公告)号：US20220301661A1
公开(公告)日：2022-09-22
申请号：US17631080
申请日：2020-12-02
Inventor： Wenli DU , Minglei YANG , Weimin ZHONG , Feng QIAN , Zhi LI
Abstract: A method and system for predicting products of an aromatic hydrocarbon isomerization production process are provided. The method includes generating multiple initial sample points, using a mechanism the actual output response values of all of the initial sample points; establishing an radial basis function (RBF) model according to the initial sample points and actual output response values thereof; using a particle swarm optimization (PSO) algorithm to find expected deviation between nearest neighbors as well as the sampling point having the largest sparsity product, using mechanism model to calculate the output response value of said sampling point on RBF model, adding output response value into the sample points, and reconstructing the surrogate model; repeating the previous step until the upper limit for the number of sample points is reached to obtain a final RBF model; and using the RBF model to predict product yield of aromatic hydrocarbon isomerization.
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3.发明公开公开(公告)号：US20240256924A1
公开(公告)日：2024-08-01
申请号：US18556617
申请日：2022-03-30
Abstract: The disclosure relates to a construction method and device for a chemical knowledge graph, an intelligent question answering method and device for chemical knowledge, and two computer-readable storage media. The construction method comprises the following steps: obtaining knowledge data in chemical industry field; pre-processing the knowledge data to obtain entity data and property data related to chemical knowledge; determining a preliminary knowledge representation according to the entity data and the property data; performing entity alignment on the preliminary knowledge representation to obtain a standard knowledge representation; and constructing the chemical knowledge graph according to the standard knowledge representation. The construction method for a chemical knowledge graph can automatically collect relevant knowledge in the chemical industry to construct a chemical knowledge graph on basis of natural language processing, big data and artificial intelligence technology, thereby greatly improving the construction speed of the chemical knowledge graph and reducing the manual construction cost of the chemical knowledge graph.
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