Abstract: A method and system for diagnosis of error coding faults from multiple instruments are provided. The method includes acquiring sampling data series of a combination of instruments in a petrochemical process, determining a type of the sampling data series, and performing error diagnosis according to the type. The present disclosure can solve the error coding problem in a multi-instrument cooperation mode and provide safe and reliable data guarantee for safe and efficient petrochemical production.

Abstract: The present invention provides a hydrophilic/oleophobic sponge, a preparation method and use thereof, and belongs to the technical field of functional material preparation. In the present invention, a modified solution is obtained by mixing a nanoparticle suspension with a modifier solution; the nanoparticle suspension includes silica-encapsulated Fe3O4 nanoparticle suspension and/or nano-silica ethanol suspension; the modifier solution includes chitosan-acetic acid aqueous solution and polyvinyl alcohol (PVA) aqueous solution. The sponge is soaked in the modified solution, mixed and crosslinked with glutaraldehyde aqueous solution to obtain the hydrophilic/oleophobic sponge, conferring good oil-water separation ability on the sponge. The sponge effectively separates a heavy water layer from oil-water mixtures with such light oils as lubricating oil, engine oil, pump oil, crude oil, gasoline, and sunflower seed oil in a simple gravity-driven manner.

Abstract: The present disclosure provides a multi-queue multi-cluster task scheduling method and system. The method includes: constructing a training data set; training and optimizing a plurality of parallel deep neural networks (DNN) by using the training data set to obtain a plurality of trained and optimized parallel DNNs; setting a reward function, where the reward function minimizes the sum of a task delay and energy consumption by adjusting a reward value proportion of the task delay and a reward value proportion of the energy consumption; inputting a to-be-scheduled state space into the plurality of trained and optimized parallel DNNs to obtain a plurality of to-be-scheduled action decisions; determining an optimal action decision among the plurality of to-be-scheduled action decisions based on the reward function for output; and scheduling the plurality of task attribute groups to a plurality of clusters based on the optimal action decision.

Abstract: A cam-driven wire mesh-type electrospinning apparatus and a use method therefor are provided. The cam-driven wire mesh-type electrospinning apparatus includes the following components: a high-voltage (HV) power supply unit, a wire mesh-type spinneret, a fiber receiving device, a cam unit, and a solution supply unit. The positions and connection relationships of all the components are as follows: any end of the wire mesh-type spinneret is connected to the HV power supply unit, and the other end of the wire mesh-type spinneret is connected to the cam unit; the wire mesh-type spinneret is installed on the solution supply unit; and the fiber receiving device is positioned right above the wire mesh-type spinneret. The cam-driven wire mesh-type electrospinning apparatus may induce a solution to be uniformly distributed on a wire mesh plane, and adjust the density of jet flow and the distribution position of the jet flow.

Abstract: The present invention discloses a polyether derivative and a preparation method therefor. The polyether derivative is: the polyether derivative of the present invention has a functional group introduced into the polyether chain, such that the derivative has an ether bond, an ester group, an amino group, a heteroatom, and other groups, enabling the derivative to have various functions such as anti-oxidation, anti-wear functionality, and anti-rust functionality, either without requiring additional additives or requiring fewer additional additives used to make up for the lack of base oil functions.

Abstract: The present disclosure discloses a process for improving the surface catalytic efficiency of a catalyst substrate. In some embodiments, to use nano-catalyst particles more efficiently, a process uses a porous substrate as a stationary phase support and disperses the nano-catalyst particles uniformly in all the internal space of the porous substrate, such that reactants flow through the porous substrate to achieve a catalytic effect. In some embodiments, the process not only improves the use efficiency of nano-catalyst particles, but also enables easier and more convenient adjustment of various parameters of a catalytic reaction.

Abstract: Disclosed is a controllable method for preparing phospholipid micelles, including: S1, preparing small phospholipid vesicles; S2, preparing a graphene thin-layer electrode substrate, S3, incubating, and S4, electroforming phospholipid micelles. According to the present application, lamellar graphene is used as the electrode substrate according to the present application, where a phospholipid bilayer film is firstly spread on the surface of the substrate, and phospholipid micelles are controlled in terms of formation as well as formation state by a certain alternating current electric field on the surface of graphene; the developed method of the present application is unique in design, simple in operation, and has the advantages of fast formation, short preparation cycle and good controllability.

Abstract: The invention discloses a device for producing biogas with high methane content by utilizing livestock and poultry feces, wherein the interior of a tank body of a biogas fermentation tank is divided by a baffle, so as to form a main reaction chamber and an auxiliary reaction chamber which are communicated in upper portions, so that a reactant flows into the auxiliary reaction chamber only after entering the main reaction chamber via a relatively low feeding hole and then reaching a high position of a liquid level, and extension of fermentation time is realized, meanwhile, scales formed at the top of fermentation broth flow into the auxiliary reaction chamber along with liquid, so that the interior of the main reaction chamber keeps a liquid state all the time, and sealing and reduction of quantity of anaerobic bacteria are avoided.

Abstract: The edge-cloud collaboration platform for intelligent coking monitoring of cracking furnace tubes includes an edge layer and a cloud layer, which can store and analyze big data, propose suggestions on optimization and improvement, and feed the suggestions back to the edge layer. The edge layer includes an intelligent temperature measuring device for an outer surface of a cracking furnace tube and/or an ethylene DCS/data acquisition device; the cloud layer includes a cracking furnace safety warning device, an intelligent coking diagnosis and prediction device for a cracking furnace tube, a hybrid job scheduling device, a multi-workflow scheduling device, a virtualized resource scheduling device, and a virtual resource optimization device; and the intelligent temperature measuring device for an outer surface of a cracking furnace tube includes an identification device for furnace tube and overlapped tube, and an abnormal data detection device.

Abstract: The present invention discloses a cooperative scheduling method and system for a computing resource and a network resource of a container cloud platform. The method includes: obtaining a load value of a container in a physical machine of a data center; calculating a load margin of a current container; if the load margin of the current container is less than 0, generating a first container sequence; if the load margin of the current container is greater than 0, obtaining a load value of a next container managed by a current physical machine, calculating a load margin of the next container, and updating the calculated load margin of the next container to the load margin of the current container. According to the method and the system of the present invention, resource utilization can be effectively improved.