Abstract: The present disclosure provides a synthesis method of a g-C3N4/C composite material based on a hollyhock stalk, including the following steps: (1) pretreatment of hollyhock stalks; and (2) fabrication of the g-C3N4/C composite material. In this method, with the hollyhock stalk as a carbon skeleton, g-C3N4 is spread on a template surface to form a laminated layer, and a composite system with a special structure is constructed. Compared with pure phase g-C3N4, the composite material substantially increases specific surface area and has a clear interface; the carbon skeleton not only functions as a rigid support, but also increases the electron transfer efficiency of the composite material, thereby improving the separation efficiency of photogenerated carriers and the utilization rate of visible light.

Abstract: The present disclosure provides a synthesis method of a g-C3N4/C composite material based on a hollyhock stalk, including the following steps: (1) pretreatment of hollyhock stalks; and (2) fabrication of the g-C3N4/C composite material. In this method, with the hollyhock stalk as a carbon skeleton, g-C3N4 is spread on a template surface to form a laminated layer, and a composite system with a special structure is constructed. Compared with pure phase g-C3N4, the composite material substantially increases specific surface area and has a clear interface; the carbon skeleton not only functions as a rigid support, but also increases the electron transfer efficiency of the composite material, thereby improving the separation efficiency of photogenerated carriers and the utilization rate of visible light.

Abstract: The present application discloses paint based on a graphene nano container and a self-repairing coating as well as a preparation method and application thereof. The paint comprises a first component comprising 20˜40 parts by weight of epoxy resin; a second component comprising 0.1˜2 parts by weight of corrosion inhibitor-loaded graphene nano container, 1 part by weight of diluent, 30˜60 parts by weight of epoxy curing agent, 1 part by weight of defoaming agent and 1 part by weight of flatting agent, wherein the corrosion inhibitor-loaded graphene nano container comprises graphene grafted with cyclodextrin and the corrosion inhibitor reversely binding to the cyclodextrin. The paint of the present application is simple in preparation process, green and environmental friendly in raw material, low in price and available, and meanwhile the self-repairing coating formed thereof is excellent in protection performance.

Abstract: Disclosed is an acquisition method for domain rule knowledge of an industrial process. The method comprises the steps of: establishing a domain rule base, establishing a semantic knowledge base, and combining the domain rule base and the semantic knowledge base so as to realize an augmented update of a domain rule knowledge base; describing the domain knowledge of the industrial process by using weighted first-order logic rules so as to form a training sample set of the first-order logic rules; performing a weight learning by applying probability soft logic and the training sample set of the first-order logic rules so as to realize weight to non-weighted rules; performing rule learning through a machine learning algorithm so as to obtain a first-order logic rule on a change in optimization decision-making semantic when multi-source data semantic information changes.

Abstract: Disclosed is an acquisition method for domain rule knowledge of an industrial process. The method comprises the steps of: establishing a domain rule base, establishing a semantic knowledge base, and combining the domain rule base and the semantic knowledge base so as to realize an augmented update of a domain rule knowledge base; describing the domain knowledge of the industrial process by using weighted first-order logic rules so as to form a training sample set of the first-order logic rules; performing a weight learning by applying probability soft logic and the training sample set of the first-order logic rules so as to realize weight to non-weighted rules; performing rule learning through a machine learning algorithm so as to obtain a first-order logic rule on a change in optimization decision-making semantic when multi-source data semantic information changes.

Abstract: Disclosed is an optimization decision-making method of an industrial process fusing domain knowledge and multi-source data. The method comprises the steps of: acquiring the domain knowledge of the industrial process by using probability soft logic, and building an domain rule knowledge base of the industrial process; fusing multi-source data semantics and multi-source data features to form a new semantic knowledge representation of the industrial process, and constructing a semantic knowledge base of the industrial process; under a posteriori regularization framework, utilizing the domain rule knowledge base of the industrial process and the semantic knowledge base of the industrial process to obtain an optimization decision-making model embedded with the domain rule knowledge and obtain a posteriori distribution model; and migrating knowledge in the optimization decision-making model embedded with the domain rule knowledge into the posteriori distribution model through the knowledge distillation technology.

Abstract: Disclosed is an optimization decision-making method of an industrial process fusing domain knowledge and multi-source data. The method comprises the steps of: acquiring the domain knowledge of the industrial process by using probability soft logic, and building an domain rule knowledge base of the industrial process; fusing multi-source data semantics and multi-source data features to form a new semantic knowledge representation of the industrial process, and constructing a semantic knowledge base of the industrial process; under a posteriori regularization framework, utilizing the domain rule knowledge base of the industrial process and the semantic knowledge base of the industrial process to obtain an optimization decision-making model embedded with the domain rule knowledge and obtain a posteriori distribution model; and migrating knowledge in the optimization decision-making model embedded with the domain rule knowledge into the posteriori distribution model through the knowledge distillation technology.

Abstract: The present invention provides a preparation method of a photocatalytic composite material, and relates to the field of catalyst technologies. The preparation method provided in the present invention includes the following steps: (1) subjecting plant leaves to soaking pretreatment to obtain template biomass; (2) mixing a molybdenum source-sulfur source aqueous solution with the template biomass obtained in step (1) and conducting impregnation to obtain a composite material precursor; and (3) calcining the composite material precursor obtained in step (2) to obtain the photocatalytic composite material. The photocatalytic composite material in the present invention includes acicular molybdenum sulfide and biomass carbon, the acicular molybdenum sulfide is loaded to a surface of the flake carbon, the mass content of the biomass carbon is 70% to 90%, and the mass content of the molybdenum sulfide is 10% to 30%.

Abstract: The present invention provides a preparation method of a photocatalytic composite material, and relates to the field of catalyst technologies. The preparation method provided in the present invention includes the following steps: (1) subjecting plant leaves to soaking pretreatment to obtain template biomass; (2) mixing a molybdenum source-sulfur source aqueous solution with the template biomass obtained in step (1) and conducting impregnation to obtain a composite material precursor; and (3) calcining the composite material precursor obtained in step (2) to obtain the photocatalytic composite material. The photocatalytic composite material in the present invention includes acicular molybdenum sulfide and biomass carbon, the acicular molybdenum sulfide is loaded to a surface of the flake carbon, the mass content of the biomass carbon is 70% to 90%, and the mass content of the molybdenum sulfide is 10% to 30%.

Abstract: The present application discloses paint based on a graphene nano container and a self-repairing coating as well as a preparation method and application thereof. The paint comprises a first component comprising 20˜40 parts by weight of epoxy resin; a second component comprising 0.1˜2 parts by weight of corrosion inhibitor-loaded graphene nano container, 1 part by weight of diluent, 30˜60 parts by weight of epoxy curing agent, 1 part by weight of defoaming agent and 1 part by weight of flatting agent, wherein the corrosion inhibitor-loaded graphene nano container comprises graphene grafted with cyclodextrin and the corrosion inhibitor reversely binding to the cyclodextrin. The paint of the present application is simple in preparation process, green and environmental friendly in raw material, low in price and available, and meanwhile the self-repairing coating formed thereof is excellent in protection performance.