Abstract: A preparation method for a corrosion-resistant coating of a reinforcing steel for marine concrete, comprising the steps: (1) pretreating the surface of a reinforcing steel; (2) preparing self-repairing corrosion microcapsules; (3) preparing a cathodic electrophoresis coating; (4) carrying out cathodic electrophoresis; and (5) curing. The electrophoresis coating of the present invention contains the self-repairing corrosion microcapsules, metal powder, and graphene oxide powder. The corrosion resistance of the coating is improved under the co-action of the self-repairing properties of the self-repairing microcapsules and cathodic protection. The corrosion-resistant coating has excellent adhesion and corrosion resistance, prolonging the service life of reinforcing steel. It is widely used for the protection of reinforcing steels for marine concrete, and also for the protection of metal structures in general environment.

Abstract: The invention discloses a corrosion resistant coating for marine engineering concrete and a preparation method thereof, the corrosion resistant coating being sprayed or brushed on the concrete surface after being uniformly mixed by component A and component B,wherein the component A is calculated by weight including: waterborne non-ionic epoxy resin, C10-C12 alkyl glycidyl ether, polyhedral oligomeric silsesquioxane, metal powder, magnesium aluminum hydrotalcite powder,dispersant,defoamer; and the component B is calculated by weight including: modified aromatic amine curing agent, C10-C12 alkyl glycidyl ether, self-healing micro capsules, leveling agent, antioxidant, adhesion promoter, and other additives.

Abstract: The present disclosure is applied to the technical field of data processing, and provided are a capacity-based multi-task scheduling method, apparatus and system. The method comprises: a scheduling node receiving a request for acquiring a task sent by a task executing node, the request carrying with a current load value and an available memory space of the task executing node; and the scheduling node deciding whether the current load value is less than a threshold, and carrying out task scheduling for the task executing node according to the available memory space of the task executing node if the current load value is less than the threshold. The present disclosure can effectively avoid the problems of overload, load, in sufficient memory, etc. of the task execution node, and increase the resource utilization rate of the task execution node and the task scheduling and executing efficiency.