263 results about "Scale effects" patented technology

The invention relates to an experimental device in the field of natural gas recovery, and particularly relates to a shale gas reservoir recovery simulation experimental device. The shale gas reservoir recovery simulation experimental device comprises a high-pressure gas source system, an injection system, a model system, a thermostat system, a pressure return system and a data acquisition system, wherein an intermediate container in the injection system and a core holding unit in the model system are positioned in a thermostat. The shale gas reservoir recovery simulation experimental device has the advantages that a plate model core clamping device and two full-diameter core clamping devices are connected, the cores of different dimensions are connected in series, multi-scale pore characteristics in the shale gas reservoir can be simulated, the multi-scale characteristics of shale gas seepage influenced by the multi-scale effect are reflected, the recovery process of the shale gas reservoir can be accurately simulated, and recovery mechanisms and recovery dynamics of the shale gas reservoir in different modes can be comprehensively evaluated; and meanwhile, a large-scale shale core adsorption/desorption experiment can be performed by utilizing the experimental device, and a gas adsorption/desorption rule of the large-scale shale core under different conditions is researched.

The invention relates to a multi-scale mould for making and simulating a structural surface of a country rock. The multi-scale mould comprises an A-type outer plate, a B-type outer plate, a C-type outer plate, a bottom plate, a flat and straight plugging plate, a curved surface plugging plate, a plug pin, a buckle, a nut and a jacket. A shearing test of simulating the structural surface of a rock needs to use a mould to pour structural surface samples, and in order to research the influence of a scale effect on the shearing property of the structural surface, a plurality of structural surface samples with different sizes need to be prepared for the test, while, the two problems always exist alternatively that in a laboratory moulds with different sizes are difficult to provide and huge investment on customizing the moulds with different sizes is needed, so that the great waste is caused. Through the adoption of a structural surface mould capable of making multiple scales in the making process of the structural surface samples, not only can the structural surface samples with different sizes be made, but also the resource waste can be avoided, and the test cost is reduced.

The invention discloses an automatic scale segmentation parameter selection method for object remote sensing image analysis. Optimum space scale segmentation parameters are determined through calculating an average local variance curve range method; optimum attribute scale segmentation parameter are determined through a local variance histogram estimation method; optimum merging threshold parameters are determined by employing anisotropy space correlation statistics to calculate horizontal and vertical ranges; scale effect evaluation and scale segmentation parameter optimization adjustment on a segmentation result are carried out by employing an index evaluation method. In combination with the geological spatial statistics and a mode identification theory method, the automatic scale segmentation parameter selection method realizes automatic selection of the optimum scale segmentation parameters before segmentation, can clearly explain the determined optimum scale segmentation parameters based on statistics theories, has higher theory credibility and improves information extraction and analysis efficiency and precision for object remote sensing images.

The invention discloses a control method for coast atmospheric corrosion resistant scale on the surface of a boat deck, which belongs to the field of steel for hull structures. According to the invention, the structure and thickness of scale on the surface of a boat deck is controlled by optimizing production processes for boat decks. The method comprises the following key points: controlling parameters of heating temperature, time, residual oxygen and the like for continuous casting billets and reinforcing a de-scaling effect once; controlling the index of chloride ion in water for production, reducing the content of deposited chloride ions in scale and inhibiting corrosive pitting; controlling initial rolling temperature and finishing rolling temperature in the stage of finish rolling, reasonably utilizing a weak water cooling system, increasing the content of Fe3O4 in scale, reducing the content of Fe2O3, retaining a small amount of FeO and enabling the scale to have good plasticity, a bonding force and corrosion resistance. The advantages of the invention are as follows: it does not need to reconstruct existing equipment, and the surface quality and production efficiency of the boat deck can be enhanced through technological optimization; structural composition of the scale is reasonably controlled, which enables the surface of the boat deck to have excellent coast atmospheric corrosion resistance, especially enables corrosive pitting caused by chloride ions to be inhibited, and enables the storage duration of the boat deck in coast environment to be prolonged.

A method of performing a DFT (discrete Fourier transform) or a DFT derived transform on data, comprising: providing spatially modulated light having spatial coherence, said spatially modulated light representing the data to be transformed; Fourier transforming said spatially modulated light, using an at least one optical element; and compensating for at least one of a scaling effect and a dispersion effect of said at least one optical element, using an at least one dispersive optical element.

A device and method for producing Inter Symbol Interference (ISI) scaling of S-Parameter Touchstone files for the generation of ISI scaling effects on serial data patterns by direct digital synthesis is described. The features of the present invention allow user to set parameters such as data rate, voltage amplitude, encoding scheme etc. as per requirements for the serial data patterns. An ISI scaling value is selected and applied to an S-Parameter Touchstone file representing transmission path effects. The serial data pattern parameters and the ISI scaling value used with the S-Parameter Touchstone file are compiled to generate a digital data waveform record file. The digital waveform record file is applied to a waveform generation circuit for converting the digital data into an analog serial data pattern with ISI scaling effects.

The invention discloses a dynamic voltage scaling system-oriented on-chip monitoring circuit, which is characterized by comprising a master register circuit (1), a slave register circuit (2), a shadow register circuit (3), an error signal generation circuit (4), an in-situ error correction selector (5), a metastable state monitoring circuit (6), an error signal integration circuit (7), a restoration mode selection circuit (8) and an in-situ error restoration control signal generation circuit (9). By the dynamic voltage scaling system-oriented on-chip monitoring circuit, the influence of factors such as a process, voltage, temperature noise and the like on a main circuit can be effectively resolved into the variation of delay characteristics of a key unit and a special path to reflect the actual conditions of each part in a chip, and a dynamic voltage scaling effect is greatly improved.

The invention belongs to the technical field of remote sensing image classification, and particularly relates to a remote sensing image classification method based on multi-scale depth features. Firstly, the algorithm can automatically establish multi-scale image pyramid; secondly, by means of a traditional convolutional neural network algorithm, the algorithm can automatically extract high-levelimage features by means of a self-learning algorithm; and finally, the multi-scale depth image features are fused with the spectral features, thereby improving the remote sensing image classificationprecision. According to the multi-scale deep neural network algorithm, a multi-scale image pyramid can be automatically constructed for an input remote sensing image, and then a multi-scale training sample is extracted and used for extracting multi-scale image spatial features. The algorithm has the following two advantages: 1) deep stable and effective image features can be automatically extracted, and 2) the multi-scale feature learning method can effectively describe the multi-scale effect of a complex ground object target in an image.

The invention discloses a method for inversing the air temperature of a surface layer based on thermal infrared remote sensing. The method comprises the following steps of: (1) determining a fundamental form of a surface layer air temperature remote sensing inversion model; (2) establishing the surface layer air temperature remote sensing inversion model; (3) basing on different surface types of air temperature remote sensing inversion models; and (4) analyzing by using the scale effect of the remote sensing inversion model to obtain an optimal air temperature remote sensing inversion model. A spatial distribution graph of the near-surface layer air temperature can be quickly and accurately calculated by the method. Because the model is established by a regression analysis method in consideration of a surface energy balance process, the method has the advantages of both a theoretical model and a statistical model, high accuracy and high practicability.

The invention discloses an energy consumption managing system and method for a large-sized public building. The system comprises a wireless sensing network node, a WIA (Windows Image Acquisition) wireless gateway and a system server, wherein the wireless sensing network node is in signal connection with the WIA wireless gateway; and the WIA wireless gateway is in network connection with the system server. System nodes are constructed into a network, a networked scale effect is achieved, and online monitoring can be performed on all energy consumption data and environmental information in the large-sized public building; moreover, a large quantity of data can be analyzed and counted to form an effective control strategy; and illumination and air-conditioning parameters can be optimized more effectively under the condition of ensuring comfort degree, so that optimal energy conservation is achieved.

The invention relates to the energy-saving lamp full automatic-assembly assembly line. It belongs to the energy-saving lamp manufacture equipment technology area. Its characteristic lies in that the rack intermediate deck coordinate installs the work piece conveying appliance by the transmission chain drive, the one output end of the decelerator which installs on the sublayer of the rack and connects the motor driver connects the dynamic major axis which coordinates the cam major axis driver, another output through the cam dismember coordinates to the work piece conveying appliance, above the work piece conveying appliance fit establishes automatic compression moulding equipment, automatic soldering lamp base equipment, automatic dial nail equipment, compression moulding cam, soldering lamp base cam, dial nail cam which installs on the cam major axis separately connects the automatic compression moulding equipment, automatic soldering lamp base equipment, automatic dial nail equipment. The line flow has rational design, the automation pattern substitutes manual work, reduces the suggestion factor of the quality flaw, enormously raises the production efficiency and the product quality, creates the scale effect, take a foundation for promoting the enterprise brand image.

The invention provides a low-temperature thermocompression bonding method, in which a layer of alloy film is manufactured on a substrate, and then a part of components in the alloy is removed via a selective etching technique so as to change the alloy film into a layer of a porous nano-structure. The porous nano-structure is used as a bonding layer, and thermocompression bonding can be realized at lower temperature and pressure due to the nano-scale effect. The invention has simple technology, is operated simply, obviously reduces thermal stress and thermal deformation in the bonding process at lower temperature and pressure, and is widely used in the fields of optoelectronic integration, three-dimensional packaging, system packaging and the like.

The invention is suitable for the field of the oceanographic engineering and provides a bidirectional forced vibration experimental apparatus for a deep sea riser segment model under the action of uniform flow. The bidirectional forced vibration experimental apparatus comprises a deep sea riser module, end part prosthesis modules, horizontal sliding modules, vertical sliding modules and a measurement analysis control module, wherein both ends of the deep sea riser module are respectively connected with the end part prosthesis modules; the vertical sliding modules are respectively connected with the corresponding end part prosthesis modules and the corresponding horizontal sliding modules; the horizontal sliding modules are fixedly connected with the bottom of a trailer; and the measurement analysis control module is arranged on the trailer and is connected with the end part prosthesis modules, the horizontal sliding modules and the vertical sliding modules. In the invention, large-scale riser segments are adopted, so that a test Reynolds number is in the range of 106 for avoiding the scale effect; the double freedom degree forced movement is adopted to truly simulate the vortex-induced vibration form of a riser; and meanwhile, due to the adoption of end part prosthesis, the problem of the boundary effect at both sides of the model in an experiment is solved.

The invention provides an aerosol foundation data-based AOD (Aerosol Optical Depth) vertical correction effect evaluation method and system. The method comprises the steps of estimating a near-surface aerosol extinction coefficient and inverting the near-surface aerosol extinction coefficient based on observation data of a foundation visibility meter; inverting AOD based on observation data of a foundation sum photometer; inverting the near-surface aerosol extinction coefficient based on the visibility meter; performing vertical correction on the AOD based on a laser radar observation method or an atmospheric chemistry mode simulation method, and estimating the near-surface aerosol extinction coefficient according to a vertical correction result; and evaluating the effect and applicability of an AOD vertical correction method by comparing the difference between the estimated near-surface aerosol extinction coefficient with the inverted near-surface aerosol extinction coefficient. According to the method and the system, the errors caused by direct use of a satellite for AOD inversion and the evaluation uncertainty caused by a scale effect and the like can be avoided, so that the difficult problems in effect evaluation and applicability selection among various AOD vertical correction methods and various data sources are solved.

The invention relates to a method and a tester for determining a relative density sample preparation standard of a laboratory scale test on coarse aggregate, and belongs to the technical field of geotechnical testing. The method comprises the following steps: firstly, selecting graded coarse aggregate, and conducting a heavy vibrating roller extremum dry density test to obtain maximum dry density values of a field test; through a surface vibrator compaction manner, adjusting compaction parameters of the tester to obtain the maximum dry density values under different compaction manners and compaction parameters; then, determining selected equivalent compaction parameters under an indoor compaction manner to serve as a compaction standard of a laboratory maximum dry density test; finally, performing a laboratory relative density test on a scale material according to the compaction standard to obtain the extremum dry density of the scale material; according to a design index, to determining the sample preparation dry density or porosity of the laboratory scale test on the coarse aggregate through calculation. According to the method and the tester disclosed by the invention, by aiming at the scale problem of the original graded coarse aggregate, the influence of the scale effect of the coarse aggregate can be reduced, and the precision of the laboratory test on the coarse aggregate is effectively improved.

The invention relates to a nano carbon-covered alumina support-based preparation process of a dehydrogenation catalyst. The preparation process is characterized by comprising the following steps of: preparing nano-scale carbon-covered gamma-AL2O3 through the steps of gelling, hydrolytic precipitation, pre-burning, and N2 thermal treatment by using an inorganic aluminum salt as an aluminum source and starch as a carbon source and adopting a 'One Pot' method; and loading active metal components by using the gamma-Al2O3 support, and performing activation to obtain a catalyst which ensures that an organic hydride has high dehydrogenation performance. The catalytic material combines dual advantages of the scale effect of a nano material as a catalyst and high anti-coking performance of a carbon-covered alumina material, thereby showing very high catalytic activity. Low-cost poly-hydroxyl starch is used in the preparation process of the carbon-covered gamma-Al2O3 support and is gelatinized into a gel; and compared with the conventional carbon-covered preparation process which adopts volatile hydrocarbons as a carbon source, the raw materials are easy to obtain, and are reproducible and environmentally-friendly.

The invention provides a vortex-induced vibration test device for a movable deep sea vertical pipe array model at the lower top end of uniform flow. The vortex-induced vibration test device comprises a plurality of deep sea vertical pipe modules, a top support module, a bottom support module, two vertical rail modules, a horizontal rail module, four motor modules, four cowling modules and a measuring and analytical control module, wherein two ends of each deep sea vertical pipe module are connected with the top support module and the bottom support module; and the measuring and analytical control module is connected with the deep sea vertical pipe modules by a lead. In the vortex-induced vibration test device, a large-scale vertical pipe model can be arranged to avoid a scale effect; the vertical rail modules and the horizontal rail module can be utilized fully to simulate vortex-induced vibration of the large-scale vertical pipe model under the influence of an ocean platform; and different arrays formed by the deep sea vertical pipe modules can be simulated according to actual requirements. Due to the adoption of modular design, the vortex-induced vibration test device is convenient to assemble and disassemble.

The invention discloses a method for association rule mining of ocean-land climate events with combination of a climate subdivision thought. A Delaunay triangulation network of space data is established and an overall and local long-side constraint is exerted on the space data, so that a reasonable and stable space adjacent relation network is obtained, the similarity of a time series of space adjacent entities is measured, hierarchical clustering is conducted to obtain a hierarchical cluster result, and a good climate subdivision result is obtained on the basis of false-T statistical magnitude analysis; a prior knowledge constraint of a related field is brought in and interested climate events are extracted from ocean climate indexes and land climate zones respectively, so that effective association rules among the ocean-land climate events are mined through exertion of a time window width constraint, a time delay constraint and a sufficiency and necessity constraint. The multi-scale effect can be effectively considered in the mining process so that an effective climate zone can be obtained and high efficiency, pertinence and practicability can be achieved through multiple constraints when the association rules are mined.

The invention relates to a carbon fiber/nanofiber synergistic high-toughness ceramic matrix composite and a preparation method thereof. According to the preparation method, carbon nano tubes and SiC nanowires are introduced into carbon fibers by virtue of a sizing technology, a multi-scale preform is woven through a weaving forming means, a ceramic matrix is densified through processes such as a chemical vapor infiltration method, a reactive melt infiltration method and a precursor body dipping and cracking method, and therefore the carbon fiber/nanofiber synergistic high-toughness ceramic matrix composite is prepared. The preparation method has the advantages that a carbon fiber/carbon nano tube/SiC nanowire multi-scale structure can give full play to the scale effect, the multi-scale preform is prepared by virtue of the sizing technology, on the premise that the performance of the carbon fibers is not damaged, the mass production of large-scale irregular structural components can berealized, and therefore the technical problem of simultaneous introduction of various nanofibers can be solved, the content and the distribution of the doped nanofibers is controlled, equipment is simple, the process control is easy, the cost is low, and large-scale industrial production is facilitated.

The cold-state descaling process of high-pressure water jets on the inner and outer surfaces of cold-drawn seamless steel pipes is a cold-state descaling process of high-pressure water jets used to remove oxide scales on the inner and outer surfaces of seamless steel pipes in the production of cold-drawn seamless steel pipes Technical field . The technical scheme of the present invention is: first descale the inner surface of the steel pipe, and then the nozzle exits the steel pipe after descaling, places the nozzle on the outer surface of the steel pipe through the lifting adjustment device, descales the outer wall of the steel pipe, and the steel pipe enters the next stage after descaling The roller table uses the water jet sprayed from the low-pressure water nozzle to clean the inner and outer walls of the steel pipe, and cleans the residual abrasive after descaling. This process has fast cleaning speed and good descaling effect. It avoids over-pickling caused by traditional pickling process. There is no damage to the inner and outer surfaces of the steel pipe and no pollution to the environment. The waste liquid can be recycled, saving costs, improving work efficiency and reducing labor. strength. This inventive process replaces the traditional pickling process in the production of cold-drawn seamless steel pipes, reduces pollution and reduces costs.