141results about How to "Best combination" patented technology

The invention provides an electric complex-strengthening repairing method and device of heavy metal-organic co-contaminated soil. The method provided by the invention comprises the following steps of: filling contaminated soil into an electric repairing device, and then adding an oxidant into a cathode electrolyte and an anode electrolyte or directly spraying the oxidant on the contaminated soil, wherein the oxidant comprises hydrogen peroxide, pypocholoride and persulfate; applying a direct-current electric field on a cathode and an anode, wherein the strength of the electric field is 0.5-2 V/cm; and controlling the pH values of the cathode electrolyte and the anode electrolyte to be 3-11. By selecting the suitable for oxidant and controlling the pH value of the electrolyte, the migration of the heavy metal can be effectively increased and the removing efficiency is improved; and meanwhile, the oxidant is used for effectively degrading organic pollutants when the pollutants are migrated, thereby relieving the post-treatment and simultaneously removing the heavy metal and the organic pollutants.

The invention discloses a Cu-Fe in-situ composite with boron, silver and rare earth elements added and a preparation method thereof. The invention is characterized by adopting multimode comprehensive strengthening technology such as multi-micro alloying, solid solution strengthening, aging strengthening, fine grain strengthening, distortion strengthening, fiber strengthening and the like, using Cu as the base and adding a little Fe and trace Ag and B, rare earth or rare earth compounds to prepare the high strength and high conductivity copper alloy material through smelting, casting, hot forging or hot rolling, solid solution treatment, cold rolling or cold drawing, aging and the like. The prepared material has the advantages of high strength, good electric and thermal conductivity, simple preparation process and low cost, thus realizing wide application in the fields such as electronics, information, transportation, energy, metallurgy, electromechanics and the like.

The invention discloses a testing method for corrosion and scaling properties of oilfield wastewater. The testing method comprises the following steps of: (1) testing an electrochemical impedance spectrum of a pipeline material in on-site oilfield wastewater; (2) designing a simulation pipeline, simulating flow-state information in a pipeline model under different flow speeds of a pipeline inlet by utilizing CFD (Computational Fluid Dynamic) software and determining an installation position of an experiment testing piece; (3) mounting the experiment testing piece on a dynamic pipeline and carrying out water circulation to stat a dynamic simulation experiment; measuring the thicknesses of scale layers of the test pieces at the different installation positions under different experiment durations; and (4) carrying out a data integrated analysis step: obtaining a relation between the thickness of each scale layer and each variable so as to obtain the corrosion and scaling properties of the oilfield wastewater. The testing method disclosed by the invention can be used for effectively testing the corrosion property and the scaling property of the oilfield wastewater and can reflect different conditions of each site very well aiming at different water quality and pipeline conditions of each specific water injection oilfield.

Disclosed is a method for coke benzene oxydation to produce maleic anhydride by integrating crude benzene purification process and maleic anhydride preparation through benzene oxidization, the process comprises using carbonized crude benzene as raw material, refining crude benzene to obtain carbonized benzene for benzene oxidization, thus preparing maleic anhydride and by-product of high-pressure vapor, which can be used as heating source for the purification distillation of crude benzene. the benzene oxidization maleic anhydride preparation employs the conventional catalytic oxidation, the crude benzene purification employs an acid washing process or extraction and fractional distillation.

The invention discloses a load prediction method and a system thereof. The method comprises the following steps: establishing a correlation factor mapping database according to the correlation factorsrequired by the prediction strategy, wherein the correlation factors at least comprise meteorological correlation factors; determining the corresponding load prediction methods according to the law of load change, and establishing a load prediction method database; according to the prediction strategy and load prediction method library, establishing a comprehensive prediction model. The system isused to implement the method. The invention fully explores the sensitivity of the load change to the meteorological related factor change, and gives the qualitative analysis result. In the process ofload prediction, the influence of meteorological parameters on meteorological factors is fully and reasonably expressed in the prediction method.

The invention belongs to the field of construction materials and relates to a textured paint. The textured paint consists of the following raw materials in parts by weight: 10-15 parts of water, 40-50 parts of composite emulsion, 15-20 parts of quartz sand, 8-13 parts of silicon-based active gel, 6-9 parts of putty, 12-18 parts of cellulose ether, 2-4 parts of a mildewproof preservative, 1-3 parts of organic zirconium complex, 3-5 parts of dimethyl aniline and 4-7 parts of pentaerythrite, wherein the composite emulsion contains 10-20 percent of polyurethane resin, 30-50 percent of polyacrylic ester resin, 10-20 percent of polyvinyl alcohol resin, 15-25 percent of epoxy resin and 5-15 percent of an emulsifier; putty comprises the following materials in parts by weight: 10-15 parts of polymer powder, 30-50 parts of light clay bricks, 10-15 parts of pearlstone, 6-9 parts of alumina cement, 12-18 parts of mullite, 10-15 parts of bentonite, 2-4 parts of boromagnesite, 1-3 parts of starch sugar powder, 3-5 parts of methyl cellulose, 5-8 parts of silica powder, 5-10 parts of fibrilia or viscose, 8-18 parts of soluble glass, 4-6 parts of dispersible emulsion powder and 10-15 parts of composite suspending liquid. The textured paint has the advantages of long opening time, high cohesiveness, good alkali resistance and excellent water conservation performance.

The invention discloses ferrite for an anechoic chamber and a preparation method and applications thereof, and belongs to the field of ferrites. The ferrite is composed of the following components in percentage by mass: 64.6% of Fe2O3, 19.6% of MnO, 13.6% of ZnO, 1.5% of CuO, 0.6% of CoO, 0.06% of SiO2, 0.02% of CaO, 0.01% of Cr2O3 and 0.01% of Cl; and the average grain diameter of the ferrite is 13-22.3 mu m. According to the invention, under the precondition of satisfying the test requirements of the anechoic chamber on the ferrite, compared with wave-absorbing materials of ferrites for anechoic chambers commonly used in the domestic market, the production cost of the ferrite is reduced by 7-10%, the weight is lighter, and the thickness is smaller; and the installation of the ferrite is more convenient.

The invention relates to the technical field of multimedia communication, and particularly relates to a multimedia service QoE resource allocation method. The method comprises the following steps: establishing a multimedia service QoE resource allocation task model, a network model and a network overall utility function based on an SDN, providing an optimal network resource allocation algorithm satisfying the overall utility function. In the method, the tasks are dynamically allocated to virtual network nodes to achieve end to end quality optimization. The method proposed in the invention canfind the best combination of network node functions. The network nodes can cooperate through negotiation to provide the terminal user with the optimized QoE and improve the overall net income of the network.

The invention provides a production method and application of a water-based polyurethane impregnated glove in the field of protective gloves. The production method comprises the following steps of S1,preparing a glove core, wherein the glove core is manufactured by using a polyester-cotton blended material or a full-chemical fiber material through a knitting process; S2, sleeve mold preheating, the glove core is sleeved on a hand mold, and preheating is carried out; S3, immersing coagulator, wherein the hand mold is immersed into the coagulator; S4, soaking and cleaning; S5, dipping glue solution; S6, dripping gum; S7, drying; and S8, demoulding, and cooling is carried out to obtain the gum dipping glove. The glove manufactured by the production method has the advantages of being super-wear-resistant, environment-friendly, good in air permeability and good in color fastness, comfortable to wear and the like, the operate is convenient, the energy is saved and the production cost of enterprises is reduced.

The invention discloses a Cu-Cr in-situ composite with boron, silver and rare earth elements added and a preparation method thereof. The invention is characterized by adopting multimode comprehensive strengthening technology such as multi-micro alloying, solid solution strengthening, aging strengthening, fine grain strengthening, distortion strengthening, fiber strengthening and the like, using Cu as the base and adding a little Cr and trace Ag and B, rare earth or rare earth compounds to prepare the high performance copper alloy in-situ composite through smelting, casting, hot forging or hot rolling, solid solution treatment, cold rolling or cold drawing, aging and the like. The prepared material has the advantages of high strength, good electric and thermal conductivity, simple preparation process and low cost, thus realizing industrial application in the aspects such as electrician switches, contact materials, resistance electrodes, rotor conductors of large electrical high speed turbine generators, overhead conductors of electric cars and electric trains, lead frames of very large scale integrated circuits and the like.

The present invention relates to one kind of vertical material distributing apparatus and process. The vertical material distributing apparatus includes one turnable platform capable of being turned into horizontal state or vertical state, one material box over the platform, one powder carrier with closed cavity, and one material feeder to fill the cavity with powdered material. The vertical material distributing process includes the following steps: setting the powder carrier on the turnable platform in horizontal state, forming one closed cavity with the material box and the powder carrier, turning the platform to vertical state, filling powdered material with the material feeder to the closed cavity, turning the platform reversely to horizontal state for the powdered material on the powder carrier, and feeding the powdered material with the powder carrier to the press for forming. The present invention has reasonable structure, high production efficiency and capacity of raising product quality.

The invention discloses a claw-type cap screwing machine. The claw-type cap screwing machine comprises an integrated transmission structure, a machine frame, a lower cap disc, an upper cap disc, a vacuum cap sucking disc, a transition disc and a claw-type cap screwing disc, wherein the lower cap disc, the upper cap disc, the vacuum cap sucking disc, the transition disc and the claw-type cap screwing disc are driven by the integrated transmission structure and are arranged on the machine frame; the lower cap disc and a lower cap feeding inlet are connected; the upper cap disc and an upper cap feeding inlet are connected. The claw-type cap screwing machine can adapt to caps of various specifications while ensuring the production efficiency, and the connection suitability of upper caps and lower caps is higher after the upper caps and the lower caps are combined.

The invention provides a personalized real-time recommendation method for online learning resources. According to the knowledge points selected and self-cognitive ability input by a learner in an online learning system through an input display unit of a user terminal, learning resources are recommended to the learner in real time in a personalized manner. The method is characterized by comprisingthe following steps: in step 1: the learner's learning feature parameters and course feature parameters of a recommended course are obtained from the online learning system; in step 2, a learner modeland a learning resource model are built; in step 3: an objective function with an optimal recommendation strategy is determined; in step 4, a learning resource storage structure map with an orthogonal list structure is built; in step 5, key parameters of the objective function are determined; in step 6, a binary differential evolutionary algorithm is adopted to obtain an optimal selection combination of learning resources; in step 7, the learning resources are separately sent to the learner's user terminal according to the best selection combination, and therefore the learning resources are recommended to the learner.

A shear-type electromagnetic lock is disclosed whose armature can approach the electromagnet from any transverse direction, which can be mounted in any orientation with respect to gravity, and which does not require any door position sensing means. The armature includes a pair of standoffs in the form of conically projecting buttons affixed thereto, the buttons projecting from the plane of contact between the armature and the electromagnet. The buttons have a base angle of 60-80 degrees adjacent the armature, and an angle of 45 degrees distal from the armature, and terminate in a smoothly rounded point. The armature is mounted to a sub-plate via counteracting springs such that the armature "floats" on the sub-plate, with the distance between the armature and the sub-plate being adjustable via adjusting screws. A matching electromagnet assembly for mounting to a door frame includes matching conical depressions positionally corresponding to the conical buttons such that the buttons seat into the depressions when the armature and electromagnet are properly aligned. The buttons and recesses are arranged in a staggered pattern.

The invention relates to a torque detection and transmission device. The torque detection and transmission device includes a planet frame, a left side planet wheel, a right side planet wheel, a left side sun wheel, a right side sun wheel and a torque signal converter. The left side sun wheel is fixed through a rotating stopping ring. The planet frame, the left side planet wheel, the right side planet wheel, the left side sun wheel and the right side sun wheel constitute a planet frame output torque transmission mechanism, wherein the revolution direction and rotation direction of the planet wheels are the same. An electric bicycle built-in motor applies the torque detection and transmission device, and the planet frame, the left side planet wheel, the right side planet wheel, the left sidesun wheel and the right side sun wheel constitute the planet frame output torque transmission mechanism, wherein the revolution direction and rotation direction of the planet wheels are the same. Oneend of the left side sun wheel is in keyed joint with an elastic sleeve, the other end of the elastic sleeve is in keyed joint with the rotating stopping ring, the torque signal converter is arrangedon the elastic sleeve in a sleeving mode, and a torque signal converter structure which is fixed and cannot rotate is formed. The torque detection and transmission device has the beneficial effects that by using the torque signal converter structure which is fixed and cannot rotate, the work power of a rider can be accurately calculated, the booster power of the motor can be matched well, the reliability of a sensor is improved, and the overall size of the built-in motor is reduced greatly.

The invention discloses an oil and air separation structure for a hydraulic retarder. The oil and air separation structure comprises an exhaust passage and an oil return passage, wherein one end of the exhaust passage is communicated with an oil storage cavity, the other end of the exhaust passage is communicated with the external atmosphere, one end of the oil return passage is provided with an oil collecting hole used for collecting oil leaked from a work cavity, the other end of the oil return passage is communicated with the oil storage cavity, and an oil and air separation device used for carrying out oil and air separation on exhausted compressed air for returning the separated oil to the oil storage cavity through the oil return passage is connected in series on the exhaust passage. The oil and air separation structure has the advantages that oil in the exhausted compressed air can be separated and recovered, and the oil content of the exhausted compressed air can be reduced.

A line selecting system for automatic tuning of master - slave arc quenching coil and earthing fault of small current comprises master arc quenching coil operated on 15 % over - compensation mode at system normal operation, slave arc quenching coil formed by four reactors, a vacuAum high voltage contactor being connected to each of reactors. It featured as operating system on over - compensation mode and setting slave arc quenching coil out of system when system is on normal operation, switching in slave arc quenching coil to operate system on full compensation mode for ensuring arc quenching when single phase earthing fault is existed on system.

The invention discloses a power transmission line icing thickness prediction method based on CEEMDAN-QFOA-LSTM, and relates to the field of combination of power transmission line state evaluation anddeep learning. The method comprises the following steps o: (1) carrying out data acquisition and preprocessing; (2) carrying out CEEMDAN decomposition on an icing thickness historical data sequence (12); (3) optimizing hyper-parameters of the LSTM by a quantum drosophila melanogaster algorithm; (4) carrying out LSTM model training (14); and (5) predicting the icing thickness of a power transmission line and analyzing a result (15). According to the method, the CEEMDAN decomposition algorithm is used, a sequence which is difficult to directly predict is converted into a plurality of predictablecomponent sequences; a neural network can more accurately grasp the law of the sequence according to multi-dimensional feature information obtained through decomposition; a QFOA optimization algorithm is used for obtaining the hyper-parameters, a complex manual parameter adjustment process is avoided, and a network model is trained more effectively; the used LSTM neural network does not have theproblem of gradient disappearance of a general network, so that optimal convergence of the model is ensured, and the problem of short-term and long-term time sequence prediction is effectively solved.

Disclosed are a model selection comparison test and a motion parameter determination method for an electric machine and a driver thereof. An operational motion control device comprises a motion controller, an upper computer, a data collection card, an acceleration sensor, a load and a motion execution organization. The test and the method select a motion parameter under a load circumstance of being the most stable in the motion control device execution, slight in a plate vibration, small in an execution sound and noiseless as the motion parameter of the motion control device and the electric machine driver. Comparing a sum of vibration acceleration effective value, the electric machine and the electric driver group, with the minimum sum of vibration acceleration effective value, is selected as the best group. The electric machine and the driver thereof has the advantages that under the condition of the selected motion parameter of the motion control device and the electric machine driver, vibration acceleration effective value is used to be a parameter standard for judging the electric machine motion performance and then the best electric machine and the electric driver group can be found.

The invention relates to a close-fitting combined structure of cooling fins and heat pipes of a radiator, comprising a plurality of cooling fins, more than one heat pipe and a base, wherein each cooling fin is combined on the base, and the heat pipes respectively passes thorough and are embedded in the cooling fins and the base. The close-fitting combined structure is characterized in that the upper end surface of each cooling fin is provided with more than one concave hole groove; the bottom of the concave hole groove forms one profile hole with a shape different from the shape of the pipe body of the heat pipe; the plurality of adjacent concave hole grooves are connected in series to form a long trough allowing a stamping die to pass; the heat pipe correspondingly is arranged at the bottom of the concave hole groove to match with a jig and a stamping module to pass through the long trough; stamping is carried out by aiming at the pipe body of the heat pipe so that the pipe body of the heat pipe is matched and extruded by the profile hole and then is relatively deformed to produce profile side wall shape, and the cooling fin and the heat pipe are tightly matched and assembled.

The invention belongs to the technical field of carbon footprints, and discloses a rice carbon footprint metering optimization method, device and equipment based on a particle swarm algorithm. The method comprises the following steps: establishing a carbon footprint model of a rice product by acquiring life cycle data of carbon footprints of the rice product; obtaining a preset carbon footprint metering model to extract preset parameters, and determining the full-life-cycle carbon emission according to the preset parameters and the carbon footprint model; according to a preset optimization strategy, establishing a double-target optimization model according to the carbon footprint model and the carbon footprint metering model; and solving the double-target optimization model based on a preset particle swarm algorithm to obtain a target Pareto solution set to optimize the full-life-cycle carbon emission. According to the method, the carbon emission of the rice product is calculated basedon a life cycle evaluation method; a double-target optimization model with the highest rice yield and the minimum carbon emission is established, a particle swarm algorithm is introduced to solve theoptimal combination of the rice yield and the carbon emission, and the problem of how to optimize rice production carbon footprint measurement to achieve the optimal combination of the rice yield andthe carbon emission is solved.

The invention discloses a formula of clay sand, which comprises the following raw materials in percentage: 15 percent to 20 percent of yellow sand, 8 percent to 15 percent of green sand, 3.5 percent to 5 percent of high-temperature cement, 3 percent to 6 percent of quartz sand, 50 percent to 60 percent of secondary return sand, 3 percent to 5 percent of coal dust, 3 percent to 6 percent of bentonite and 0.5 percent of base powder. The water content of the formula is measured by 100 percent of each group of components and values, six measuring units of water are added, therefore, the formula of clay sand solves the defects of air holes, sand holes, roughness, unclear angular edges and the like caused by the problem of formula of the clay sand, and achieves the purpose of having complete condition of the whole surface appearance of the casting piece so as to improve finished product ratio and economic benefit.