49results about How to "Good engineering value" patented technology

The invention discloses an infrared and low light image fusion method. The method comprises the following steps of: (1) acquiring an original infrared image by using an infrared camera, and acquiring an original low light image by using a low light camera; (2) respectively partitioning the acquired original infrared image and the original low light image so as to divide the original infrared image and the original low light image into N mutually corresponding original image sub-blocks; (3) in a parallel processing system, simultaneously carrying out image fusion on the mutually corresponding original image sub-blocks in the original infrared image and the original low light image so as to obtain fused image sub-blocks; and (4) combining the fused image sub-blocks so as to generate a final fused image. The fused image obtained by the invention not only has a high image quality, but also has a high fusion speed, and therefore, the infrared and low light image fusion method has a wide application prospect in the military and civil fields of night vision surveillance, security monitoring, and the like.

The invention relates to an angular momentum management method for a variable-speed control moment gyroscope (VSCMG). A technical scheme is described as follow. An angular momentum management algorithm for the VSCMGs is designed to mainly solve the following problems: mixed mode instruction torque output based on singularity measurement, zero-motion rotor wheel speed balance, zero-motion frame configuration singularity avoidance, frame angular velocity dead-zone nonlinear processing and neglected item compensation, and gives corresponding theoretical analysis. The mixed mode of the VSCMGs gives full scope to the large torque output of the control moment gyroscope and large-angle fast attitude maneuver operation can be achieved by using the steering law. The present invention provides a novel VSCMGs angular momentum management algorithm which is improved significantly in torque output accuracy, angular velocity tracking, and frame singularity avoidance compared with a conventional angular momentum management algorithm, and which has a good engineering value.

The invention provides a harmonic source identification method which comprises the following steps: performing responsibility allocation on harmonic pollution through the harmonic voltage emission level of a user, wherein the harmonic voltage emission level of the user at a time is represented through the variable quantity of harmonic voltage or current at a time at a point of common coupling before and after the user accesses to a power system; positioning an accurate point of a harmonic source through harmonic emission level evaluation to the maximum extent. The method has the benefits that an algorithm provided by the invention can quickly determine the harmonic source, is high in accuracy and practicality, and has very good project utilization values.

The invention discloses a bridge moving load and damage synergetic recognition method based on L1/2 regularization. The method includes the steps that a plurality of structural response measurement sensors such as an acceleration sensor, a displacement sensor and a strain sensor are arranged on a bridge according to the aim and accuracy requirement of bridge structure health monitoring; a finite element model of the bridge is established through beam elements; moving loads are equivalent to a linear combination of rectangular loads, and bridge damage is equivalent to element stiffness reduction; the moving loads are recognized through a Tikhonov regularization method under the condition that an element damage factor is given, a reconstructed response is calculated with the moving loads, the range of the residual L2 norm of a measured response and the reconstructed response is obtained through comparison, and an L1/2 penalty term is introduced to establish an objective function with the element damage factor as an optimized parameter; a constraint optimization problem is solved with a Matlab optimization toolbox, the corresponding damage factor is the structural damage recognition result when the objective function is the minimum, and correspondingly the moving loads worked out through Tikhonov regularization solving are the moving load recognition result.

The invention discloses a bearing fault intelligent diagnosis method based on compressed sensing and a correlation vector machine. According to the method, fault diagnosis is achieved through vibration signal analysis. The method comprises the steps of firstly selecting a Gaussian random matrix as a measurement matrix based on a compressed sensing theory to realize compressed sampling of signals,secondly constructing an over-complete redundant dictionary to perform sparse representation on the signals, then utilizing an orthogonal matching pursuit algorithm to realize signal reconstruction, and selecting a time domain index sensitive to fault features as a feature vector for the reconstructed signals; and finally, selecting a Gaussian function as a kernel function, dividing a training sample and a test sample by utilizing a feature vector, importing the training sample into an intelligent recognizer of a relevance vector machine model constructed by a relevance vector machine, and comparing a test result with an actual fault type and degree to obtain the effectiveness of the diagnosis model. According to the invention, the problems of difficult transmission and processing of massdata and low signal-to-noise ratio of bearing vibration signals can be solved, and qualitative and quantitative identification of bearing faults can be realized more accurately.

The invention discloses a public transport passenger flow spatial and temporal distribution simulation method and simulation system based on an individual activity chain, and belongs to the field of transportation characteristic simulation. The method comprises the following steps that firstly, a database related to resident travelling conditions, traffic zones and urban road networks is built; temporal-spatial information of an activity and traveling chain of a resident in the workday is simulated based on the reinforcement learning theory; sampling expansion is carried out according to the sampling rate of different zone samples, the activity and traveling chains of all urban residents are obtained, and whole urban public transport passenger flow spatial and temporal distribution is extracted from the activity and traveling chains. Based on individual activity needs, the activity and traveling arrangement behaviors of the residents are simulated through a reinforcement learning algorithm, spatial and temporal distribution information of urban traffic is obtained through simulation, and the final spatial and temporal distribution information of public transport passenger flow is extracted on this basis.

The invention provides a method for calculating the axial compressing stress of a curve cell honeycomb. The method for calculating the axial compressing stress of a curve cell honeycomb comprises the following steps: step 1, calculating the total energy absorbed by a folding unit based on the geometry of a curve cell honeycomb while the two arc sections of the basic folding unit are axially compressed and non-axisymmetrically curved; step 2, calculating the total energy absorbed by an additional vertical plane unit; step 3, obtaining the axial compressing stress of the curve cell honeycomb while the curve cell honeycomb is axially compressed based on the step 1 and 2 calculation results mentioned above according to the principle of conservation of energy. The calculating method of the axial compressing stress of a curve cell honeycomb is based on the principle of conservation of energy, and combines with the Super Folding Element theory so as to provide a theoretical method of calculating the axial compressing stress of a curve cell honeycomb, and the scene that the curve cell honeycomb is axially compressed is simulated by means of the finite element simulation technology, so that the validity of the theoretical calculating method is proved.

The invention provides a method for calculating double reinforced regular hexagon honeycomb axial compressive stress. The method comprises the following steps of: step1, based on a geometrical configuration of a double reinforced regular hexagon honeycomb, calculating total bending deformation energy absorbed by four additional plane units; step 2, calculating total thin film deformation energy absorbed by four additional plane units; step 3, based on energy conservation, according to the total bending deformation energy and total thin film deformation energy obtained in the above steps, calculating axial compressive stress of the double reinforced regular hexagon honeycomb under the axial compression. The method disclosed by the invention is not limited to predict the static mechanical properties and explain the deformation mechanism, and can calculate the axial compressive stress by using super-folded element theory based on the principle of conservation of energy. The calculation method has the advantages of simple analytical expression, high precision and high reliability and can rapidly judge energy absorption ability of the honeycomb energy-absorbing devices of different cell-element sizes.

The invention relates to a method for enhancing the anti-corrosion property of a 700 MPa strength level high-alloying 7000 series aluminum alloy. The method is characterized by comprising the following steps: previous recovery (250 DEG C*24h+300 DEG C*6h+350 DEG C*6h+400 DEG C*6h), solution treatment (450 DEG C*2h+460 DEG C*2h+470 DEG C*2h water quenching at room temperature after heat preservation), pre-deformation (2% plastic deformation) and aging (121 DEG C*24h). The method disclosed by the invention outstandingly enhances the intergranular corrosion resistant property and exfoliation corrosion resistant property of an alloy under the condition without lowering the strength of the alloy.

The invention relates to a method for diffusing and plating aluminum on the surface of a titanium-aluminium intermetallic compound, comprising the following steps of: placing a pure aluminium product in a conductive crucible to form a diffusing-plating source electrode, and then placing the crucible into a vacuum chamber, placing a titanium-aluminium intermetallic compound workpiece above the crucible and filling argon into the vacuum chamber, applying direct current negative voltage to smelt an aluminium product in the source electrode and keeping a discharging and sputtering state, and then, applying negative voltage to the titanium-aluminium intermetallic compound workpiece to raise the temperature of the workpiece to 700-1200 DEG C, keeping the temperature for 0.5-8 hours to complete diffusing and plating operation. The surface of a diffused and plated workpiece is provided with a high-temperature antioxidant protective layer with a settled layer and a diffusion layer, and 3-10mu m compact Al on the outer layer can give alloy to have sufficient oxidation resistance, and a 50-200mu m of diffusion layer below the settled layer can preventing Al atoms of the settled layer from diffusing rapidly to a matrix when in long-time high-temperature service and enhance the bonding force of the functional settled layer and the matrix.

The invention discloses a modulus back calculation method for a bituminous pavement. The modulus back calculation method comprises the following steps: simplifying pavement structure layers of the bituminous pavement, taking the adjacent pave3ment structure layers with same material type as simplified layers, and regarding a soil matrix as a soil matrix layer independently, wherein the modulus difference value among the structure layers contained in each simplified layer is not greater than N MPa; arranging vertical strain sensors in the soil matrix layer and each simplified layer, and guaranteeing that all the vertical strain sensors after arrangement are positioned in the same vertical direction; applying load on the surface layer of the bituminous pavement, and collecting vertical strain data of the soil matrix layer and the simplified layers through the vertical strain sensors, wherein the load is positioned over each vertical strain sensor; and taking the collected vertical strain data as back calculation parameters for carrying out modulus back calculation, wherein the value of N is 250 to 350. Through the method, the original structure is combined and simplified, so that the modulus back calculation process is optimized, and the technical problem that the back calculation modulus disaccords with the actual state is solved.

The invention discloses an A2O-D2 synergistic nitrogen and phosphorus removal technology and device. The device comprises an anaerobic pool, an anoxic pool, and an aerobic pool which are successivelyconnected. The technology comprises the following steps: after performing anaerobic, anoxic and aerobic treatments on municipal sewage, obtaining aerobiotic effluent; enabling a deoxidation pool to beembedded in the aerobic pool, and dividing the water outlet end of the aerobic pool to two parts, wherein one part is refluxed to the anoxic pool after entering the deoxidation pool for deoxidation,and the other part is directly flowed to a secondary sedimentation pool, and a volume ratio of the two parts is (2-4):1; and enabling the tail end of the secondary sedimentation pool to be connected to a sludge thickening pool, enabling concentrated sludge to be refluxed to the anoxic pool, and enabling supernatant liquid to be refluxed to the deoxidation pool. The technology is capable of, on thebasis of a current A2O technology, further improving the nitrogen and phosphorus removal effect of the secondary treatment, reducing the sewage treatment investment and the operating cost, providingan A2O-D2 synergistic nitrogen and phosphorus removal technology flow and technological design key points and design parameters thereof, and providing a design of a sewage treatment plant and a solution scheme of upgrading and reconstruction.

The invention discloses a floating crane swing reducing device. The floating crane swing reducing device comprises a longitudinal damping mechanism and a transverse damping mechanism. The longitudinaldamping mechanism comprises a first bracket and at least two first electric cylinders. The two first electric cylinders are longitudinally arranged on the first bracket, a first rolling wheel is connected to a first push rod of each first electric cylinder, the first push rods stretch out and draw back in the longitudinal direction, and rolling wheel shafts of the first rolling wheels are transversely arranged. The transverse damping mechanism comprises a second bracket and a second electric cylinder. The second bracket is transversely erected on the two first electric cylinders. A second push rod of the second electric cylinder is connected with a second rolling wheel, the second push rod stretches out and draws back in the transverse direction, and a rolling wheel shaft of the second rolling wheel is longitudinally arranged. According to the floating crane swing reducing device, the time lag gain active servo swing reduction principle is utilized, the damping is continuously added to a swing object when a lifting hook or the lifted object is motivated by the shake of a ship to swing, and therefore the amplitude of vibration is effectively reduced, the lifted object in-position difficulty is reduced, the in-position efficiency is improved, the construction cost and the resource waste of the ship downtime in the window waiting period are reduced, and the floating crane swing reducing device has the high engineering utilization value.

The invention discloses an experimental device and method for realizing rock shearing under mining-induced stress gradient, and the device is characterized in that a normal loading mechanism is arranged above a roller support, and consists of a normal gradient pressure constructor, a normal loading rod, a normal pressure sensor and a normal displacement sensor; the normal gradient pressure constructor comprises a supporting plate, a loading pressing block, a cover plate and a spring; a plurality of loading pressing blocks are arranged on the supporting plate, a plurality of vertical sliding grooves are formed in the cover plate, and a plurality of springs with different lengths are independently connected to the corresponding vertical sliding grooves and the loading pressing blocks; and the left shear loading mechanism and the right shear loading mechanism are oppositely arranged on the left side and the right side of the test space between the support and the normal gradient pressure constructor. The method comprises the following steps: assembling the experimental device; applying initial pressure; applying mining normal gradient pressure; applying mining lateral pressure; performing a one-way shear test; performing a cyclic shear test; and ending the experiment, and storing and sorting data. According to the device and the method, the shearing mechanical property of the rock in the mining-induced stress environment can be accurately obtained.

The invention discloses a method for producing biogas through two-phase anaerobic fermentation of piggery wastewater. The method comprises steps as follows: the piggery wastewater flows into an adjusting tank to be uniformly stirred after impurities are filtered by a grating tank; uniformly stirred wastewater in the adjusting tank flows into an acidification tank for high-temperature hydrolytic acidification treatment, and an acidizing fluid is obtained; the acidizing fluid is pumped into a black film biogas digester to be fermented to produce biogas; biogas is purified and connected with a biogas power generator for power generation; the biogas power generator, a heat exchanger and a hot water tank are connected sequentially and are used for recovering waste heat produced by power generation, forming hot water and sending the hot water to an acidification tank to increase the temperature. By means of the method, acidification and hydrolysis of organic matter in the piggery wastewaterare promoted, the gas producing efficiency and the gas output of the black film biogas digester are increased, and the problem of difficulty in slag discharge of the black film biogas digester is solved; the obtained biogas residues are used for producing compound organic fertilizer, the biogas is used for power generation, waste heat of power generation is used for acidification and hydrolysis, and the method has good ecological benefits and economic benefits and is applicable to large-scale pig farms.

The invention discloses a bimetal composite pipe welding method and a product thereof, and belongs to the field of metal welding. The bimetal composite pipe welding method comprises the following steps: S1, taking natural cut edges of to-be-welded positions on two sides of a bimetal composite plate as welding grooves; S2, gradually bending the bimetal composite plate into a pipe shape, forming a spiral seam, or forming into a straight seam pipe shape; and S3, using a laser-electric arc hybrid welding method for welding the spiral seam or a straight seam in the composite layer face, wherein a whole base layer is covered with a composite layer, and the corrosion resistance of the composite layer is better than that of the base layer. According to a bimetal composite pipe prepared through the method, the composite layer is made of stainless steel, and the thickness of a stainless steel layer accounts for 5%-25% of the thickness of the whole composite pipe. By means of the method, the problems of complex production process, low efficiency, high cost and insufficient welding seam performance or precision of a current bimetal composite pipe can be solved.

The invention relates to a method for determining an error coefficient of an inertial device, in order to overcome the deficiency that the estimated value of the existing kalman filter is not unique by performing linear processing on a nonlinear state equation and a nonlinear observation equation and by calculating the error coefficient of the inertial device by using an extended recursive least square method. The method can adapt to the situation when the state equation and the observation equation are nonlinear functions, and can also meet the situation when the state equation and the observation equation are linear functions. The method can be used for realizing real-time calculation, is easy to implement and has a value of engineering practical application.

The invention discloses a pavement adhesion coefficient estimation method by utilizing electric and hydraulic parameters, and belongs to the technical field of electric vehicle dynamics control. The method is characterized in that a driver inputs and decides a required torque of a whole vehicle, and a torque distribution controller decides torque distribution of each wheel; an actuator obtains electric and hydraulic operation parameters; according to a tire force observer, a tire longitudinal force (derived by utilizing electric and hydraulic operation parameters) and a transverse force are acquired; a pavement utilization adhesion coefficient under a driving/braking working condition based on electric and hydraulic parameters and a pavement utilization adhesion coefficient under a steering working condition are solved through a pavement utilization adhesion coefficient solver; error compensation is adopted to obtain a real pavement adhesion coefficient under each working condition; weight of each working condition is identified according to a working condition weight decision maker in order to estimate the road adhesion coefficient under a self-adaptive full working condition; andthe road adhesion coefficient is estimated under all working conditions by adopting information fusion. Compared with the prior art, the method has advantages of high reliability, high working condition adaptability, a high application value and the like.

The invention provides a method for framework recovery during multi-empty road surface regeneration. The voidage of a bituminous mixture and the mass center distance of a framework material serve as control standards, and parameters of an original material and a new material of multi-empty road surface regeneration are calculated. The method comprises the steps that a core taken from an original road is subjected to CT scanned image analysis, and the original material gradation and geometrical information of all stones are obtained; according to the target gradation, a target test piece is prepared, and the mass center distance and voidage of the target test piece are obtained through CT scanned image analysis; and value models of the stones of all gradations are built through discrete element software, and the parameters of the original material and the new material are obtained according to the mass center distance and voidage of the target test piece. Compared with an existing bituminous mixture regeneration technology, the design method pays attention to distribution of coarse aggregate and the voidage of the road surface after regeneration, the difficult problem that the drainage property gets poor during multi-empty road surface regeneration is solved through a value method from the micro perspective, the gradation design process during regeneration is optimized, the optimal solution can be more quickly and more accurately found through computer aided design, and the high engineering value is achieved.

The invention relates to the technical field of light metal surface protection, in particular to a technological method of carrying out hole sealing and modification on a protective coating on the surface of light metal and discloses a plasma deposition thermal treatment technological method for carrying out hole sealing and diffusion on cold spraying coating on the surface of light metal based onthe double-deck glow plasma seepage plating technology. A light metal workpiece subjected to treatment of cold spraying coating is put in a double-deck glow furnace, a double hollow cathode glow discharging effect is utilized to heat the workpiece and a target, the target and the coating are made of the same texture, and the target is placed on a source electrode rack, is heated to form evaporation and sputtering so as to have deposition on the surface of the workpiece under the bombardment of the plasma generated through glow discharge; as the workpiece is heated and diffuses, hole sealing and diffusion treatment are carried out on cold spraying of the workpiece to eliminate holes in the surface and interior of the coating; and a diffusion layer is formed between the coating and the matrix workpiece to improve the defect that the bonding strength of the cold spraying coating and the matrix workpiece is not high.

The invention discloses an anti-highlight interference engineering survey mark extraction method based on color-edge fusion feature growth. The method comprises the following steps: arranging a survey mark of a selected feature at a target designated part; training a target detection software model capable of identifying a specified target object; carrying out target detection on an image, and extracting a Region of Interest (ROI) region in the image; in combination with a digital image processing method, performing target primary extraction on the extracted ROI based on color-edge features to complete image preprocessing; performing edge detection on the image obtained after preprocessing according to a Canny edge detection algorithm, and selecting a part of pixel points in an edge contour as candidate seed points according to a specified rule; taking the candidate seed point as a starting point, carrying out region growth according to a growth rule, and merging the pixel points according with the growth rule into the growth region until no pixel points according with the growth rule are merged into the growth region; and finally, further extracting geometric feature information and target feature point information based on the growth region.