201results about How to "Improve universal applicability" patented technology

The invention discloses a driver fatigue real-time monitoring system and monitoring method based on multi-information. The monitoring system is characterized by comprising an information acquisition unit, an information processing unit and a warning unit; the information acquisition unit comprises a pressure sensor used for extracting grip strength information of a steering wheel by a driver, an angular transducer used for extracting turning angle information of the steering wheel, and a range sensor used for extracting position information of the head of the driver; the information processing unit is used for processing the information obtained by the information acquisition unit, thus characteristic parameters representing the fatigue degree of the state of the driver are obtained, and the level of the state of fatigue of the driver is judged according to the characteristic parameters; the warning unit is used for giving an alarm when the information processing unit judges that the driver is in a non-waking state. The monitoring system has the advantages of high reliability, low cost, high timeliness and a good monitoring effect, and a road accident caused by fatigue driving can be avoided to a large extent.

Embodiments of the invention relate to the technical field of wearable equipment. The invention discloses a drowning monitoring method based on wearable equipment and wearable equipment. The method comprises steps of obtaining a detection result of a soaking detection module of the wearable equipment by a micro-control module of the wearable equipment; when the detection results indicates that the wearable equipment is in a water environment, obtaining sensing data recorded by a sensor module of the wearable equipment and determining whether the sensing data is matched with a preset condition stored in a first storage module or not, and if the sensing data is matched with the preset condition stored in the first storage module, determining a user of the wearable equipment is in a drowning state by the micro-control module, and controlling a communication module of the wearable equipment to sending an alarm signal corresponding to the drowning state to at least one alarm platform. The embodiments of the invention can complete drowning monitoring and alarming without requiring other assistant devices and free from restrictions of a distance between the wearable equipment and the alarm platform, and the general applicability of drowning monitoring techniques is improved.

The invention discloses a nitrogen-phosphorus-sulfur co-doped porous carbon loaded metal phosphide nano composite material as well as a preparation method and application thereof. The preparation method of the material comprises the following steps: S1, uniformly mixing a metal salt, a carbon source compound and a swelling agent, and pyrolyzing in an inert gas atmosphere to obtain M-g-C3N4; S2, dispersing the M-g-C3N4 in a solvent to obtain a suspension A, then dropwise adding a mixed solution B in which phosphonitrilic chloride trimer and 4,4-dihydroxy diphenyl sulfone are dissolved into thesuspension A, and carrying out a mixing reaction; dropwise adding an alkaline auxiliary agent, uniformly mixing and reacting, and after the reaction is finished, separating to obtain M-g-C3N4@PZS; andS3, performing high-temperature pyrolysis on the M-g-C3N4@PZS in an inert gas atmosphere to obtain the nitrogen-phosphorus-sulfur co-doped porous carbon loaded metal phosphide nano composite materialMPx-NPS-C. The material is simple to prepare and high in general applicability; and the prepared material shows excellent performance in catalytically activating H2O2, PMS and PS to degrade complex organic compounds, and the application of the metal phosphide material in advanced oxidation water treatment is broadened.

A technique that randomizes a sample window over which one or more interleave mismatch corrections are made to a time interleaved analog to digital converter (TIADC).

The invention opens a identification method of human motion data based on integrated hidden Markov model learning method. This method extracts two-dimensional geometric features for capturing data from human motion, and then effectively reducts the dimensionality of movement features data by the introduction of dimension reduction methods of non-linear flow pattern learning, and finally learns the movement of sports database by adoption of Hidden Markov integrated learning based on self-adaptive advance algorithm for achieving fast retrieval of conventional movement. Two-dimensional geometric features extracted by the method well expresses the essential attribute of movement, dimensionality reduction methods of the expansion of nonlinear manifold will successfully map features of high-dimensional movement to low-dimensional space that can reflect the inherent links between data, thus greatly eliminates data redundancy. While this invention can study through drop dimensional data used by methods of integrated Hidden Markov Model learning, makes movement automatically identificate and classificate on the basis of high-precision.

The invention discloses a rapid preparation method of a C/C composite material and belongs to the technical field of material preparation. The rapid preparation method of the C/C composite material comprises the following steps: 1) preparation of a preform; 2) heat treatment of the preform; 3) preparation of water-based graphite slurry; 4) injection of graphite slurry; 5) recharging of the graphite slurry; 6) preparation of a green body; 7) carbonization treatment; and 8) densification treatment: the C/C porous preform is densified by using one or a combination of more of a chemical gas phasepermeation process, an impregnation-carbonization process and a high temperature hot pressing process. The rapid preparation method of the C/C composite material, disclosed by the invention, has the advantages that graphite powder is uniformly introduced by using a slurry injection method without destroying the bonding strength of the carbon fiber preform; the strength and microstructure uniformity of the material green body is guaranteed on the one hand, the densification time in the later period is greatly shortened on the other hand, the cost is reduced, and the rapid preparation method issuitable for industrial production; by using the water-based graphite slurry, the cost is low and pollution is avoided; and the C/C composite material prepared by using the method has the advantages of high strength, good wear resistance and reliable high temperature performance.

The invention discloses a tank truck lateral overturning early warning system based on a GIS. The system comprises a mobile GIS module, a vehicle information module, a lateral overturning state judgment module, an early warning module and an active speed control module. In the system, the mobile GIS module obtains vehicle position information and obtains information of a bend and a road in the heading direction through a geographic information system; the vehicle information module stores vehicle parameter information and obtains in-tank liquid information in real time; the lateral overturningstate judgment module combines the information of the two above modules to establish a calculation model of the lateral overturning critical speed of a tank truck when the tank truck travels on the bend, compares the current traveling speed of the vehicle with the minimum lateral overturning critical speed and judges whether the vehicle can be overturned or not according to a comparison result; the early warning module warns a driver to control the vehicle speed in the modes of voice and the like when the vehicle is in lateral overturning danger; and the active speed control module reduces the vehicle speed through control of an engine throttle valve and a brake device under an emergency. The system guarantees the safety of the driver and the vehicle.

The invention discloses a method of adjusting an electronic expansion valve of an outdoor unit of an air conditioner. The method comprises the following steps: after a compressor is started to operate, acquiring a real-time operational frequency, a real-time exhaust temperature and a real-time outdoor environmental temperature of the compressor; determining a real-time frequency region where the real-time operational frequency is located and a real-time outdoor environmental temperature region where the real-time outdoor environmental temperature is located according to known frequency regions and outdoor environmental temperature regions; acquiring a real-time PID operational parameter value corresponding to the real-time frequency region and the real-time outer environmental temperature region according to a known corresponding relationship between PID operational parameter values and the frequency regions and the outdoor environmental temperature regions; and by taking a difference value of the real-time exhaust temperature and the set target exhaust temperature as a deviation, performing PID control on the open degree of the electronic expansion valve based on the deviation. By adopting the method disclosed by the invention, precise and stable adjustment on the open degree of the electronic expansion valve is realized.

The invention discloses a chip observation sample manufacture method and a system. The chip observation sample manufacture method and the system are used for forming a chip observation sample without using a reactive ion etching (RIE) device, and are capable of reducing realization complexity, improving efficiency, reducing cost and improving general applicability in manufacturing the chip observation sample. The chip observation sample manufacture method comprises the following steps. A to-be-observed chip is fixed on the surface of an object, a passivation layer of the to-be-observed chip is ground through a grinding and polishing machine by utilizing sand paper with first granularity or grinding liquid, and grinding is performed by utilizing sand paper with second granularity which is smaller than the first granularity till a to-be-observed layer occurs. The grinding and polishing machine polishes the surface of the to-be-observed layer, and the chip observation sample is formed.

The invention discloses a video watermark method based on vision characteristic, the method is based on discrete cosine transform technique, and firstly the video frame is discrete cosine transformed to pick up characteristics such as veins, brightness and edge of sub block; then picking up the movement characteristic of video frame to construct a mixed self adapting sub block characteristic adopting model; at last, according to dual requirements of vision sensitivity speciality and watermark robustness, constructing a characteristic Stat constringency model to generate self adapting video watermark method which is accordant with vision sensing model of human. The veins, brightness and edge of sub block and movement characteristic picked up in the invention expresses the vision characteristic, depend on dual requirements of vision sensitivity speciality and watermark robustness, the embedded energy of watermark is refined further, the relative watermark embedding course of video watermark and video vision characteristic is realized, problem of deficient robustness when video watermark technique is applied is resolved.

The invention discloses an optimized configuration method of a transformer neutral point capacitor direct-current blocking device. According to the optimized configuration method of the invention, onthe basis of an equivalent field-circuit coupling model, a finite element method is used to calculate the direct-current value of the neutral point of a grounding transformer in a power grid, and therefore, a calculation result is accurate and is close to a measured value; a multi-objective discrete particle swarm optimization algorithm is adopted, and the particle swarm optimization algorithm isimproved with nonlinear reduction inertia weight considering a cosine adjustment coefficient, and therefore, the convergence speed and calculation accuracy of the algorithm can be improved; the inertia weight and adjustment factor are adopted to control the learning factors of the multi-objective discrete particle swarm optimization algorithm, and therefore, the global search capability and localdevelopment capability of particles can be balanced; and a particle update strategy is introduced into the particle swarm optimization algorithm, and therefore, particle update quality and algorithm computational efficiency can be improved. According to the method, the capacitor direct-current blocking device is optimally configured from a global perspective, and therefore, the cost of controllingdirect-current magnetic bias can be reduced, and a control effect is obvious. The optimization algorithm has high calculation precision and high convergence speed, and is suitable for solving practical problems.

The invention provides a Lowtran7 atmosphere software-based method for calculating an action distance of a ground-air detection infrared imaging system. Firstly a ground-air detection target and background radiation are analyzed, and the action distance of the infrared system is modeled from the perspective of contrast; secondly Lowtran7 atmosphere software is called to generate a database of atmospheric radiant brightness, atmospheric transmissivity, wavelengths, path distances and zenith observation angles under different atmospheric conditions; discrete data is integrated by utilizing a spectral segmentation method; the action distances under the corresponding path distances are calculated; and the maximum path distance which enables the path distance to be equal to the calculated distance is calculated out to serve as the final action distance of the infrared system.

The invention provides a combined filling system for measured wind speed loss values of multiple neighboring wind motors in a wind field. The combined filling system comprises a wind speed data similarity determination unit, a model parameter identification unit, a wavelet neural network submodel filling unit and a combined filling unit. The combined filling system for the measured wind speed loss values of multiple neighboring wind motors in the wind field is used for overcoming the technical defects of an existing method in filling of lost measured wind speed values when the measured wind speeds of multiple neighboring wind motors in the wind field have loss values simultaneously; the similarity of the wind speed data is analyzed by use of three methods, namely a dynamic time alignment method, a correlation coefficient method and a spatial neighbor method, in a two-dimensional time domain; the measurement wind speeds of a plurality of wind motors most similar to the wind motor having the lost measured wind speed in wind speed evolution near a loss sampling point are extracted, and a wavelet neural network is established for each measured wind speed to perform lost wind speed filling; the system is adaptive to the wind speed data of different wind field by use of adjustable parameters; a combined filling method based on entropy weight is adopted, and finally, a filling system for the measured wind speed loss values of multiple neighboring wind motors in the wind field is put forward.

Embodiments of the invention provide a method and device for recommending judicial expertise. According to the method and device, a preset judicial expertise graph comprises standard focuses of dispute, reference adjudication rules suitable for the standard focuses of dispute, law and regulation provisions suitable for the reference adjudication rules, a first semantic relationship and a second semantic relationship. The method comprises the following steps of: searching a first standard focus of dispute matched with a semantic meaning of target case data from the preset judicial expertise graph by utilizing technological means of semantic analysis and semantic matching; and obtaining a first reference adjudication rule suitable for the first standard focus of dispute and a first law and regulation provision suitable for the first reference adjudication rule according to the first semantic relationship and the second semantic relationship. According to the method and device, users do not need to have high-level judicial expertise, and judicial expertise related to target cases can be intelligently recommended through inputting target case data of the target cases, so that the general applicability is high.

An electric connector used for connecting a chip module includes an insulating body, an electric conducting terminal, a latch base, and an attaching cover, and both sides of the attaching cover press on both sides of the latch base respectively. Both sides of the attaching cover of the electric connector of the invention press on both sides of the latch base respectively, such that both ends of the attaching cover can be fixed directly onto both ends of the latch base without being fixed onto the metal upper casing of the latch base, so as to avoid redesigning the attaching cover when there is a slight modification of the structure of the metal upper casing that the attaching cover cannot be installed onto the metal upper casing, and effectively lowering the design and development cost and enhancing the universal applicability of the attaching cover.

A fruit and vegetable picking device comprises a first cover body, a coil, a magnetofluid ball and a second cover body. One end of the first cover body is an opening end, and a spherical groove is arranged at the opening end. The coil is spherically distributed in a ring, at least a part of the coil is contained in the spherical groove, and the coil is electrically connected with an external power source. The magnetofluid ball comprises a flexible ball casing and magnetorheological fluid contained inside the flexible ball casing, and a part of the magnetofluid ball is contained in the coil. The second cover body is in a shape of a circular truncated cylinder, the second cover body comprises a big opening end and a small opening end, the second cover body is covered on the magnetofluid ball, the big opening end is fixedly connected with the opening end of the first cover body, one end of the magnetofluid ball protrudes out of the small opening end to form a holding portion which is used for wrapping fruits and vegetables. After the magnetorheological fluid changes into solid, surfaces of the fruits and vegetables are completely contacted with the holding portion, the holding portion can stably hold the fruits and vegetables, dropping of the fruits and vegetables from the inside of the holding portion is prevented, and damage can be avoided.

The invention discloses a method used for preparing a plurality of metal organic frameworks using a hydrosolvent system. The method comprises following steps: 1, trimesic acid is dissolved in water, wherein 0.2143 to 0.8571g of trimesic acid is added into 20 to 100ml of deionized water, an obtained mixture is subjected to oil bath heating and stirring until trimesic acid is completely dissolved inwater; 2, the metal organic frameworks are prepared, wherein 0.2441 to 1.7544g of a metal salt is dissolved in 20 to 100ml of deionized water, a trimesic acid aqueous solution obtained in the step 1is added, an obtained mixed material is subjected to oil bath heating stirring, an obtained product is collected, is subjected to washing and centrifugation with ethanol and deionized water alternatively, and is dried in a drying oven so as to obtain the metal organic frameworks. Operation of the method is simple; the chemical bath experimental process is convenient for controlling and observation; large scale product is convenient to realize; the metal organic frameworks can be taken as precursors in preparation of metal oxides, porous carbon, and mixtures of metal oxides and porous carbon; and application prospect in the fields such as energy storage, sensing, catalysis, and gas adsorption is promising.

The invention provides a supertension line fault phase selection method based on a voltage fault component in the technical field of high voltage power grids. Three-phase voltage signals at a protective installation position at the time of a line fault are collected to calculate a three-phase voltage fault component, and an obtained proportional relation is used as a fault phase recognition coefficient; logical judgment is conducted according to the relation between the three-phase voltage signals, the three-phase voltage fault component and the fault phase recognition coefficient, namely a single-phase earth fault is judged first, a phase-to-phase fault between two phases is judged if the single-phase earth fault does not exist, and a three-phase earth fault is judged if the phase-to-phase fault does not exist; if the three-phase earth fault does not exist, a two-phase earth fault is judged finally to realize supertension line fault phase selection. The supertension line fault phase selection method based on the voltage fault component has quite high sensitivity and reliability under different fault conditions including fault positions, fault types, transition resistances and initial phase angles, and can select a fault phase quickly and accurately in a latter half cycle of the fault; meanwhile, the scheme of the supertension line fault phase selection method has sufficient sensitivity both on a strong power supply side and on a weak power supply side.

The invention provides a joint training method and device for a machine learning model, an electronic device and a computer readable storage medium, and belongs to the technical field of computers. The method comprises the following steps: a data node acquiring sample data for training; the data node processing the sample data through the first part of the target model to obtain intermediate data,and sending the intermediate data to the label node; the label node processing the intermediate data through a second part of the target model and obtaining error data based on label data corresponding to the sample data; the label node sending the error data to the data node; the data node adjusting the parameters of the first part according to the error data, and/or the label node adjusting theparameters of the second part according to the error data; wherein the target model is composed of a first part and a second part. According to the invention, the data between the data node and the label node is opaque in the joint training process, and the privacy and security of the data are improved.

The invention belongs to the technical field of drilling, and particularly relates to a directional drilling executing mechanism based on a three-speed drill bit. The directional drilling executing mechanism comprises a drill bit drill string, a drill bit, a pressure exerting support plate, pressure exertion electromagnetic telescopic rods, a connecting structure, a positioning mechanism, a motor, an electromagnetic telescopic rod support plate, rotating pairs and a universal joint, wherein the drill bit is connected with the motor through the drill bit drill string, the connecting structure, the universal joint and a motor rotating shaft; through the design of the universal joint, the drill bit drill string can still be driven to rotate by the motor after forming a certain angle relative to the motor rotating shaft; the drill bit drill string is arranged on the pressure exerting support plate; and the three rotating pairs are added to the installation of the two pressure exertion electromagnetic telescopic rods on the pressure exerting support plate and the pressure exerting telescopic rod support plate. By adopting such a design, when the drill bit is enabled to do forward drilling, the drill bit is allowed to form a certain angle relative to the motor. The angle of the drill bit drill string and the motor rotating shaft can be controlled for directional drilling, and high practicability is realized.

The invention discloses a method for estimating raindrop induced moisture transfer rate and mixed layer depth, which comprises the following steps of: establishing a motion wave equation, and solvinga slope runoff motion process; then establishing a runoff and solute concentration change equation in the mixed layer, calculating the raindrop induced moisture transfer rate and the depth of the mixed layer in combination with the loss data of NO3 <->-N in the actually measured runoff, and finally verifying the calculated raindrop induced moisture transfer rate and the depth of the mixed layer byusing the loss data of NH4 < + >-N in the actually measured runoff. The method solves the problem that it is difficult for an existing model to conveniently and accurately determine the raindrop-induced moisture transfer rate and the depth of the mixed layer.