49results about How to "Reduce the impact of uncertain factors" patented technology

The invention discloses a SVM (Support Vector Machine)-based multi-sensor target tracking data fusion algorithm. According to target information acquired by sensors, a compact combination mode is adopted, the SVM serves as a middle layer, an environmental variable and a measurement variance normalized vector serve as input of the SVM, output of the SVM serves as trust of the sensor, a known training sample is used for offline training, real-time filter information is used for online estimation, and a fusion knowledge base performs track fusion through real-time weighting according to the obtained trust of the sensor. According to the SVM-based multi-sensor target tracking data fusion algorithm and the system thereof, the SVM principle is adopted, the algorithm complexity is low, the environmental variable and the measurement variance normalized vector are introduced, the biological robustness and the fault tolerance are strong, extension is easy, and the algorithm and the system thereof are applicable to the field of multi-sensor tracking.

The invention relates to a general external field wireless test system, including a track, a test carriage for carrying a test terminal and running on the track, an antenna for providing at least one wireless network environment of wireless system and forming at least one track coverage cell on the track, and a control center for controlling the running mode of the test carriage and the work mode of the antenna. The invention can realize various external field wireless environmental simulations, high speed wireless test environmental simulation, various switch tests, test environmental simulation in which various wireless systems coexist, wireless advanced research, wireless arithmetic research, wireless equipment test, terminal test environmental simulation, network performance test of free bearing mobile terminal in order to analyze special wireless network performance, locate special wireless network exception and provide convenient wireless test environment for new technology experiment and frontier study of wireless network.

The invention discloses a ship engine fault diagnosis system. The system comprises an information acquisition module, a vibration signal characteristic extraction module, a signal processing module, adata acquisition module, an interface display module, a diagnosis module and a ship engine. The signal acquisition module comprises a plurality of sensors and is used for collecting signals. The signal processing module is used for converting the signals from a time domain into an angle domain. The vibration signal characteristic extraction module is used for carrying out EMD decomposition on vibration signals and then carrying out Hilbert change so as to acquire time frequency distribution of the vibration signals. The data acquisition module is used for collecting data. The interface display module is used for carrying out interface display on the signals collected by the data acquisition module through Labview programming. The diagnosis module is used for carrying out fault diagnosis on the ship engine. In the invention, an engine fault can be rapidly and accurately diagnosed and effective measures are taken, engine safety and reliability are increased, and maintenance cost is reduced.

The invention discloses a power purchase transaction method based on uncertainty factors and provincial load prediction, and relates to the technical field of electric power. The technical problem that uncertainty factors bring great difficulty to external power purchase plan making by power grid companies can be solved. The power purchase transaction method based on provincial load prediction comprises the following steps: S1, calculating probabilistic sequences of provincial load prediction, hydroelectric power generation capacity, and planned power generation capacity of thermal power plants; S2, getting a demand power probabilistic sequence of external power purchase through uncertain electric power and energy balancing; S3, calculating the power purchase adequacy based on the demand power probabilistic sequence; S4, dividing the 24 hours of a typical day of load into a high-load period, a medium-load period and a low-load period; S5, calculating the total amount of money needed for purchasing power in the three load periods of the typical day of load when the unit power of peak load period is purchased from different power sellers; and S6, determining the power purchase priority of each power seller.

The invention discloses a residual vibration suppression method based on a fuzzy cluster inverse model. A fuzzy cluster inverse model is built in an off-line manner according to output data and input data of vibration modes required to be suppressed by a system at a current moment, and a control function at a future moment is acquired in an on-line manner. By adopting a superposition principle, the output of the acquired fuzzy cluster inverse model at the next moment is superposed on an original control function, and therefore the residual vibration of the system is suppressed in a real-time manner. By adopting the technical scheme provided by the invention, the residual vibration of a plurality of vibration modes is effectively reduced, and the residual vibration suppression method is used for vibration suppression of a flexible load of a fruit and vegetable picking robot.

The invention relates to an optical-cable-embedded composite type leaky coaxial cable and a manufacturing method of the optical-cable-embedded composite type leaky coaxial cable. Compared with a single leaky coaxial cable product, all the advantages of the performance of the leaky coaxial cable are achieved, and the advantages of the performance of an optical cable are added. The optical-cable-embedded composite type leaky coaxial cable is characterized by comprising an optical cable, a bundling line copper tube, a polyethylene foamed insulation layer, a slotted copper strip and an outer polyolefin sheath; the optical cable is wrapped in the bundling line copper tube, the polyethylene foamed insulation layer is extruded on the outer portion of the bundling line copper tube in a protection mode, the slotted copper strip wraps the outer face of the polyethylene foamed insulation layer, and the outer polyolefin sheath is arranged on the outer face of the slotted copper strip in an extrusion molding mode. According to the optical-cable-embedded composite type leaky coaxial cable, a composite structure is formed by embedding the optical cable and conducting reasonable combination, it is ensured that the cable has the electrical performance of the leaky coaxial cable, the electrical performance of the optical cable is added, and the optical-cable-embedded composite type leaky coaxial cable is a novel multi-functional type product.

The invention discloses a method and a system for detecting the performance of an oscillatory wave partial discharge measuring instrument for cable of 35kV and below. The method comprises the steps of: setting experiment parameters and selecting experiment circuit according to a control instruction sent by the master control unit; detecting the performance corresponding to the oscillatory wave partial discharge measuring instrument according to the set experiment parameters and the selected experiment circuit; the measuring loop obtaining a response signal of the performance detection corresponding to the oscillatory wave partial discharge measuring instrument and sending the response signal to the master control unit; and the master control unit analyzing and processing the response signal to obtain the performance detection data corresponding to the oscillatory wave partial discharge measuring instrument. According to the invention, the method and the system can be used for network entry detection, pattern test and arrival detection of oscillatory wave partial discharge measuring instrument; the performance detection work of the oscillatory wave partial discharge measuring instrument can be regulated and automatic and standardized detection of key items can be completed under computer control, thereby reducing the influence of uncertain factors such as personnel, equipment and the like in the detection process and improving the detection efficiency and accuracy.

The invention discloses a preparation method for platinum-nickel alloy nanoclusters and a fuel cell using the same. The method comprises the steps of preparing nickel chloride hexahydrate and chloroplatinic acid with the molar ratio of platinum to nickel to be 0.2-5:1; preparing polyvinylpyrrolidone with the total molar ratio of polyvinylpyrrolidone to platinum and nickel to be 1:20-30; adding the prepared polyvinylpyrrolidone and the prepared nickel chloride hexahydrate into a heating device, and adding a solvent, wherein the mass ratio of the solvent to the polyvinylpyrrolidone is 100-200:1; heating to 75-90 DEG C, stirring while heating for 20-40 minutes; cooling the temperature of the heating device to be 0-5 DEG C, adding the prepared chloroplatinic acid into the heating device, adding the sodium hydroxide solution into the heating device to adjust the pH value to be 9-11, heating to 185-105 DEG C, stirring while heating for 1-5 hours, condensing and refluxing to obtain platinum-nickel alloy nanoclusters.

The invention discloses an air quality monitoring method and device based on pigeons and a computer storage medium, and the method comprises the steps that: a data aggregation device receives monitoring data sent by data collection devices, carries out the grouping packaging of the monitoring data according to the type of each data collection device, and obtains a plurality of data packages; abnormal monitoring data in each data packet is filtered out through a gross error test algorithm, and to-be-processed monitoring data in each data packet is obtained; and an area position corresponding to each data packet is determined, and filtering processing is performed on the to-be-processed monitoring data in each data packet through a preset filtering method to obtain air quality information of each area position. The pigeon flock is used as a mounting carrier of the data acquisition device, so that air data can be uniformly and continuously acquired in a large-range space and different height ranges. And furthermore, the monitoring data is processed in combination with a gross error checking algorithm, so that the decomposition scale can be adaptively determined, and the reliability of air quality monitoring is improved.

The invention discloses a novel automatic-recovery circuit safety device based on a maleic anhydride (SMA) thermal elastic material and a working process of the device. The device comprises a current supply circuit, an alarm circuit and an automatic-recovery circuit safety switch, wherein the safety switch comprises a Ti54Ni34Cu12 shaped memory alloy wire, a fastening screw, a sliding sheet, a pre-loading spring, a current supply circuit conversion contact, an alarm circuit conversion contact, an insulation guide rail, a metal fixing clip, a primary wire and a contact conversion guide rail. By means of phase state conversion of the Ti54Ni34Cu12 with TW-SME between a low-temperature state and a high-temperature state, the timely switching between the current supply circuit and the alarm circuit is achieved. The novel automatically-recovered circuit safety device has the advantages of automatic-recovery overcurrent protection, short response time and instantaneous warning, and is convenient to install, the circuit still can be protected after the safety switch is failure, and the requirement on a working environment is relatively low; and the novel automatically-recovered circuit safety device is suitably used for various large-, medium- and small-sized industrial / civil building systems.

The invention relates to a method for learning operation parameters of a trailing suction hopper dredger. The technical scheme is as follows: the method comprises the following steps: ; randomly dividing the m effective data groups into a training set, a cross validation set and a test set, 4-8 multi-layer sensor models are established, the loss functions of all the multi-layer sensor models of the training set are obtained by adjusting five hyper-parameters, and the model with the minimum loss function is selected from the loss functions of all the multi-layer sensor models of the cross validation set to serve as an optimal model, namely an implicit model; an input explicit model and an output explicit model are established through an implicit model and a regression model, the multi-objective optimization problem of the expected value c1 of the yield and the expected value c2 of the mixture density is solved through an ant colony algorithm, and an optimal parameter combination is obtained. The model is good in stability, high in accuracy and high in universality, and optimal parameter combination can be achieved under the condition that the expected value c1 of the given yield andthe expected value c2 of the mixture density are met.

The invention provides an iterative learning optimization-based model prediction control method for a loose damping machine. The method comprises the following steps of performing standardization processing and delay alignment on original data; selecting main parameters which are highly related to outlet moisture; performing regression calculation to obtain a mechanism model and model parameters; constructing a simulation model iterative learning loop body of different types of tobacco leaves; feedback control based on the simulation model; the model predicts the difference between the control signal and the theoretical water adding amount of the system to obtain a water adding amount correction value and the theoretical water adding amount which jointly act on a PID control signal of a water adding valve, and then the water content of a tobacco flake outlet is controlled. According to the model prediction control method for the loosening and moisture regaining machine based on iterative learning optimization, after the loosening and moisture regaining machine is put into operation, the outlet moisture content CPK after control optimization in the loosening and moisture regaining process is obviously improved compared with a traditional adjusting mode, the production cost is reduced, the qualified rate of tobacco leaves is improved, and the labor intensity and the influence of uncertain factors are effectively reduced.

The invention relates to the field of microorganisms, in particular to bacillus licheniformis and a screening method and application thereof. The bacillus licheniformis used in the invention is screened from distiller's grains of Chinese liquor, has a collection number of CGMCC No.18747, and is collected in the China General Microbiological Culture Collection Center on October 28, 2019. The bacillus licheniformis is easy to culture and relatively high in enzyme activity. In bio-organic fertilizer prepared by fermenting the distiller's grains of the Chinese liquor with the bacillus licheniformis, the content of organic matters (based on dry basis) exceeds 90%, the effective viable count (CFU) reaches 0.7-1.1 hundred million / g, the pH value is after fermentation is 5.5-6.5, and the water content is 15%-20%, which are all in the international standard ranges (according to the requirements of the national standard, the content of the organic matters (based on dry basis) is larger than or equal to 40.0%, the effective viable count (CFU) is larger than or equal to 0.20 hundred million / g, the water content is smaller than or equal to 30.0%, and the pH value is 5.5-8.5); and the bacillus licheniformis has relatively high application value.

The invention discloses a lifting type undisturbed soil triaxial sample preparation device, which belongs to the field of indoor geotechnical testing of civil engineering discipline, and comprises a supporting mechanism, a lifting mechanism, a cutting mechanism, a limiting mechanism and a sample bearing mechanism; the invention adopts a hydraulic lifting table to drive the lifting of a soil sample, and replaces manual cutting by a circular rotatable cutting blade; due to the use of the circular cutting blade, the soil can be directly cut into a cylindrical sample during a cutting process. In this way, according to the soil sample data, the hardness of the soil sample is determined, and different cutting speeds are determined; the soil sample can be raised by the hydraulic lifting platform,and the gradually raised soil sample is cut by the rotation of the cutting blade to complete a preliminary production of a triaxial sample. According to the lifting type undisturbed soil triaxial sample preparation device, the problems that existing sample preparation devices have complicated operation steps in a sample preparation process, are greatly affected by the proficiency of a sample preparation operator, have a low sample preparation efficiency, have a large disturbance to the soil sample during the sample preparation process, have a low success rate of the sample preparation and thelike are solved.

This invention relates to a method for synthesizing suspension-deformable polyacrylamide that can be used to adjust the stratum injection profile to increase crude oil productivity after second and third oil production. The method comprises: mixing acrylamide 20-30%, 3,5-diacryloyloxyethyl-benzenesulfonic acid 2-8%, and desalted water as balance, adding catalysts potassium persulfate 5-10 ppm and sodium bisulfate 5-10 ppm, and polymerizing at 0-15 deg.C to obtain polyacrylamide. Polyacrylamide thus synthesized has high salt resistance, which is not limited by the mineralization degree of speed are adjustable according to the spot conditions. The colloid particles have certain solubility and viscosity in aqueous solution, thus can be uniformly suspended in the solution without any volume change when contacting oil. When absorbing water, the colloid particles expand and turn soft. Under the action of outside force, the colloid particles can deform, and the deformation is reversible. The polyacrylamide can change the underground pressure field and flow field driven by water flow, thus can adjust the stratum injection profile. The polyacrylamide is suitable for bulk polymerization in kettle.

The invention discloses an optimal management method for active distribution network power quality, and relates to the field of power grid optimal management. The method comprises the following steps:step one, establishing an optimal management model for active distribution network power quality inside a prediction horizon, wherein the optimal management model takes the minimization for network power loss inside the prediction horizon as an optimal object and takes conditions related to power quality and system safety operation as constraint conditions; step two, solving the optimal management model by using a cuckoo algorithm so as to obtain an optimal management model result; and step three, based on the optimal management model result, coordinating with model prediction control with feedback characteristics to alleviate the influence caused by uncertain problems. According to the optimal management method for active distribution network power quality provided by the invention, thepower loss caused by harmonic waves can be reduced effectively, an obtained dispatching plan also considers the factor of power quality, and the influence of uncertain problems is reduced by using model prediction control.

The invention relates to a detector for a vibration signal of an insect. The detector is composed of a frame, a signal detection system and a signal playback system, a signal collection card of the signal detection system is arranged outside the frame, residual part of the signal detection system and the signal playback system are respectively fixed on supports at the two sides of a pedestal in the frame. A radome is arranged outside the frame, and interference of air disturbance on the vibration signal is shielded. Silica gel is bonded to the bottom of the frame. In the signal detection system, sound emitted by the insect is transferred to a sensor via a host plant, the sensor converts vibration of the plant into a corresponding electric signal, the electric signal is transmitted to a preamplifier via an electromagnetic shielding wire, and the preamplifier amplifies and outputs the electric signal. In the signal playback system, recorded chirp of the insect is transmitted to vibration converters in the upper and lower layers via the electromagnetic shielding wire, and diaphragm of the vibration converters transmit the vibration signal to the host plant via hard metal wires.

The invention discloses a water distribution pipe network leakage detection method. The method comprises the following steps: 1, detecting a pressure value p of each node of the water distribution pipe network in a stable operation state; 2, detecting a pressure value p0 of each node of the water distribution pipe network in a leakage state; 3, calculating the residual error r of each node, r is equal to p-p0, dividing data of the residual error r of each node into a verification data set and a training data set, the training data set and prior data are substituted into the Bayesian model fortraining, and obtaining a corrected Bayesian model; adopting a verification data set for verification, and executing the next step if verification is passed; and 4, judging the leakage point of the water distribution pipe network according to the probability. Test results show that the pipe network leakage detection method is less affected by uncertain factors, is high in accuracy and has good practical value.

The invention provides a 3D-to-2D animation hand-drawing-simulated line drawing instrument. The 3D-to-2D animation hand-drawing-simulated line drawing instrument comprises a main body support, a control module, a positioning plate, an automatic paper-feeding positioning module, an X-axis guide module and a Y-axis guide module, wherein the control module is fixedly installed on the main body support; the positioning plate is installed on the main body support in a slide manner; the automatic paper-feeding positioning module is fixedly installed on the main body support and connected to the positioning plate; the X-axis guide module is fixedly installed on the main body support; and the Y-axis guide module is fixedly installed on the X-axis guide module. The 3D-to-2D animation hand-drawing-simulated line drawing instrument provided by the invention has the beneficial effects that existing animation production processes can be integrated; production efficiency of animation line drafts canbe optimized; requirements for technical qualities of operators are low; the number of the operations is small; duration is short; and later-stage amendment and adjustment can be conducted easily.

The invention discloses a lifting type undisturbed soil triaxial sample preparation device, belonging to the field of indoor geotechnical testing of civil engineering disciplines, including a supporting mechanism, a lifting mechanism, a cutting mechanism, a limiting mechanism, and a sample receiving mechanism; the invention adopts a The hydraulic lifting table drives the lifting of the soil sample, and a circular rotatable cutting blade replaces manual cutting. Because the circular cutting blade is used, the soil can be directly cut into cylindrical samples during the cutting process. In this way, according to the soil sample data, the hardness of the soil sample can be judged, and different cutting speeds can be determined; the soil sample can rise under the drive of the hydraulic lifting platform, and the cutting blade can rotate the gradually rising soil sample to complete the three-axis sample. Preliminary production; the invention solves the problems of cumbersome operation steps in the sample preparation process of the existing sample preparation equipment, which is greatly affected by the operating proficiency of the sample preparation personnel, low sample preparation efficiency, large disturbance to the soil sample during the sample preparation process, and high sample preparation. The problem of low success rate.

According to the alkanet endophyte, alkanet is used as a raw material, a strain is obtained through soaking and grinding, LB liquid culture medium shake culture, LB plate culture medium inverted culture, LB solid culture medium streak culture and LB liquid culture medium overnight culture screening in sequence, and the biological species of the alkanet endophyte are determined through identification; the strain is subjected to amplification culture through activation inoculation to obtain a bacterial strain, and identification shows that the alkanet endophyte has anti-colon cancer activity. The alkanet root endophyte is simple in obtaining mode, time is shortened, and the alkanet root endophyte can be applied to preparation of anti-colon cancer drugs.

The invention provides a method for controlling a constant-power inverse model of an ultra- / extra-high voltage magnetically controlled shunt reactor. By adopting the design idea of decomposing and modeling, dynamic effects of a nonlinear element part and an external system of the magnetically controlled shunt reactor are respectively modeled. The structural principle of a magnetic circuit of the magnetically controlled shunt reactor is analyzed, an inverse object equation describing the characteristics of a nonlinear magnetic circuit is established, the characteristics of a saturable magnetic circuit are described with arc hyperbolic function, Taylor's expansion is carried out on a nonlinear equation according to Abel theorem, an exciting current required by a control system is solved through analytic solution, and an inverse object transfer function is built according to the correlation between the external power system and the magnetically controlled shunt reactor. In addition, the control method creates a new idea for designing other nonlinear element controllers.

The invention relates to a detector for a vibration signal of an insect. The detector is composed of a frame, a signal detection system and a signal playback system, a signal collection card of the signal detection system is arranged outside the frame, residual part of the signal detection system and the signal playback system are respectively fixed on supports at the two sides of a pedestal in the frame. A radome is arranged outside the frame, and interference of air disturbance on the vibration signal is shielded. Silica gel is bonded to the bottom of the frame. In the signal detection system, sound emitted by the insect is transferred to a sensor via a host plant, the sensor converts vibration of the plant into a corresponding electric signal, the electric signal is transmitted to a preamplifier via an electromagnetic shielding wire, and the preamplifier amplifies and outputs the electric signal. In the signal playback system, recorded chirp of the insect is transmitted to vibration converters in the upper and lower layers via the electromagnetic shielding wire, and diaphragm of the vibration converters transmit the vibration signal to the host plant via hard metal wires.

The invention discloses a smoldering and open fire simulation device and method for a high-voltage power cable in the technical field of fire prevention and control and early warning of a high-voltage power cable tunnel. The comprises a cable sample fixing module with an opening side, a heating module for heating the cable sample fixing module and a fire extinguishing module capable of movably closing the opening side of the cable sample fixing module, and an ignition device capable of igniting a cable sample is arranged in the cable sample fixing module. A temperature sensor is further arranged on the side, close to the heating module, of the cable sample fixing module, and the numerical value of the temperature sensor is recorded in real time through a temperature collecting module. According to the invention, the fire smoke development process under the external heat source condition of the high-voltage power cable can be continuously and accurately simulated, and scientific guarantee is provided for research and development of a fire prevention and control technology in a high-voltage power cable tunnel.

The invention discloses a preparation method for platinum-nickel alloy nanoclusters and a fuel cell using the same. The method comprises the steps of preparing nickel chloride hexahydrate and chloroplatinic acid with the molar ratio of platinum to nickel to be 0.2-5:1; preparing polyvinylpyrrolidone with the total molar ratio of polyvinylpyrrolidone to platinum and nickel to be 1:20-30; adding the prepared polyvinylpyrrolidone and the prepared nickel chloride hexahydrate into a heating device, and adding a solvent, wherein the mass ratio of the solvent to the polyvinylpyrrolidone is 100-200:1; heating to 75-90 DEG C, stirring while heating for 20-40 minutes; cooling the temperature of the heating device to be 0-5 DEG C, adding the prepared chloroplatinic acid into the heating device, adding the sodium hydroxide solution into the heating device to adjust the pH value to be 9-11, heating to 185-105 DEG C, stirring while heating for 1-5 hours, condensing and refluxing to obtain platinum-nickel alloy nanoclusters.