31results about How to "Covers a wide range" patented technology

The invention relates to composite cathode material for a lithium ion battery and a preparation method thereof, belonging to the chemical power source field. The invention aims to solve the problems that the first lithium ion insertion process of oxide cathode material performs an irreversible reaction, the first coulombic efficiency is low, etc. The preparation method comprises the following steps: using precursor MO, reducing agent metal lithium and a defined amount of organic solvent to perform wet mechanochemical in situ reduction and obtain power, heating the obtained power under vacuum atmosphere to remove organic solvent, and obtaining the composite material. The method of the invention has simple process, low cost and wide application range; and the first efficiency of the prepared composite cathode material is more than 80%, the maximum is more than 95%, and the composite cathode material also has good electrochemical cycle stability.

The invention discloses a microprocessor micro system structure parameter optimization method based on a Petri network. The method comprises the following steps that a template of a flow line model is built on the basis of the colored Petri network, an instruction sequence of a target application program is obtained, relevant information between the instructions and the function unit types is obtained, a colored Petri network model, running under the current parameter configuration, of the target program is generated, a Petri network simulation tool is used for simulation, a simulation report is generated, the colored Petri network model is used for generating a corresponding directed acyclic graph according to the simulation report, a key path of the directed acyclic graph and nodes passed by the key path are calculated, the release time of each entering edge of each node is calculated, the performance bottle neck or power consumption bottle neck for running the target application program by the microprocessor in the current micro system structure parameter configuration is analyzed, and if the optimization is required, the micro system structure parameters are regulated. The microprocessor micro system structure parameter optimization method has the advantages that the prediction reliability and the precision are high, the searching design space relating range is wide, the optimization algorithm complexity is lower, and the optimization is fast and efficient.

The invention discloses an election algorithm of a space information network space layer controller. The election algorithm comprises the following steps of firstly, checking the self state of a satellite node, and publishing the load degree value, and the hop information with other satellites; comprehensively considering the load degree and hop, selecting the nodes which have low load degree and more single hop and binary hops, and determining the controller; publishing the satellite information of each area controller, notifying the node satellite of each controller, and then entering the next cycle; putting the number of the node satellite of the controller in the previous cycle into a plurality of buffer areas; adding the satellite connected with the node satellite of the controller into the buffer area of the controller satellite. The election algorithm has the advantage that the whole space information network is divided into a space layer, a nearby space layer and a ground layer, so as to minimize the transmission of the controller between layers.

The invention belongs to the field of financial security, and provides a method for building a currency number information database to improve currency circulation security. A traceable mechanism for each currency is built through the Internet, currency number information is extracted through a currency count machine with a currency number recognition function and an ATM in the process of money depositing, money withdrawing and cash consumption payment, the currency number information is sent to a financial system database server or a public system server to be compared through a computer terminal, whether the currency passing through the currency count machine is legal or not is judged, and if the currency is illegal, people can call the police. According to the method, beneficial case solving clues are provided for the public security organ when burglaries, robbing, swindles of various types, blackmail, kidnapping for extortion and other cases involving currency occur, criminal suspects can run nowhere, the criminal suspects are strongly overawed, motivation and actions involving currency crimes are restrained fundamentally, the security of currency circulation and the security of the currency of the masses are guaranteed, and the cost of the public security organ for solving the cases involving the currency is lowered.

The present invention discloses a fusion positioning method based on a radio over fiber technology, and a fusion positioning system based on the radio over fiber technology. The fusion positioning system based on the radio over fiber technology is composed of a fusion positioning device 01 based on a radio over fiber communication technology, a plurality of client devices 02 supporting a fusion positioning identification function, and a plurality of relay devices 03 supporting the fusion positioning identification function. The fusion positioning device 01 receives a fusion positioning service request, measures, or obtains the fusion positioning service information of the fusion positioning service objects via the relay devices 03, wherein the types of the objects comprise a single fusion positioning service object 04, a fusion positioning service group 05, and fusion positioning service users 06, decides a positioning service method, and provides the fusion positioning service by the method. According to the present invention, the fusion processing of various positioning information can be realized while not being limited by software; an optimal positioning method can be analyzed and decided intelligently; the complexity of a device is simplified, so that the structure of the device is miniature; real-time update services are provided; the intelligent positioning service by taking the people, the objects, or the people and objects as the centers is realized better.

The invention relates to a method for improving the oxidation resistance and the functional property of a plant protein. A soybean separation protein is used as an example, and a method for simultaneously improving the oxidation resistance and the functional property of the plant protein. The method is characterized in that a raw material is prepared by a solution to be in a concentration being 0.5 to 6 percent; the raw material is subjected to subcritical water treatment; by controlling the treatment time (2 to 80min) and the temperature (120 to 220 DEG C), due to an ultrafiltration film and column chromatography separation, soybean protein solutions with different oxidation resistances and different functional properties; and a protein product with high oxidization resistance and high functional property can be obtained by compensating and atomizing the soybean protein solutions. The method has the advantages of simple technology, safety and reliability (other chemical substances, enzyme and the like are not added), high efficiency, low cost, reasonable technology, high conversion rate and short production period.

The present application relates to a passenger rating model generation method, an apparatus, a computer device and a storage medium. The method comprises the following steps: obtaining a historical customs clearance record, wherein the historical customs clearance record carries a risk passenger tag or an ordinary passenger tag; grouping the historical customs clearance records according to the customs clearance place; after the grouping of the historical records of customs clearance are trained separately, getting the corresponding location rating model; the passenger rating model being obtained by combining the obtained location rating models. The method can improve the accuracy of rating.

The invention discloses a medium-voltage power distribution network multi-source multi-dimensional power failure early warning and coping strategy generation method and system. The method comprises the following steps: extracting operation characteristics from a power distribution network multi-source data set, and extracting fault characteristics from a power distribution network panoramic data set; constructing a correlation model of the operation features and the fault features, solving fusion factors, and performing data fusion on the operation features and the fault features to obtain early warning features; the parallel network structure clusters the early warning features to obtain a power distribution network power failure hidden danger label, and an early warning threshold value is obtained from a knowledge graph database of power grid abnormal state prevention and control; key parameters in the power failure hidden danger event are compared with an early warning threshold value, and when the key parameters are larger than the early warning threshold value, the power failure hidden danger event serves as a power failure early warning event to be output; and according to the operation and maintenance safety index, determining the danger level of the power failure early warning event and formulating a coping strategy. Based on multi-source and multi-dimensional off-line, on-line and historical data, problems existing in distribution network operation are mastered, and an operation and maintenance strategy with high pertinence is provided.

The invention relates to a malicious certificate detection method, which solves the technical problems of low accuracy and narrow range of related malicious certificates in a malicious certificate detection method, and comprises the following steps of: performing basic content analysis and normative inspection on a certificate, and judging whether the certificate conforms to RFC 5280; obtaining atrusted root certificate and an intermediate certificate from a CCADB, constructing a complete certificate chain in combination with CERTISSUER in AIA expansion information of the certificates, verifying certificate signatures, and verifying the certificates on the whole certificate chain; carrying out feature extraction on the previously obtained certificate content and related verification information; collecting benign certificate data and malicious certificate data, and performing feature extraction on the certificate; and after data feature extraction, constructing a detection model and realizing verification of the malicious certificate. The method can be widely applied to detection of malicious X.509 certificates.

The invention discloses a knowledge graph search path method based on deep learning. The method is used for solving the problems that search paths retrieved by an existing knowledge graph search pathobtaining method are too many and inaccurate. The method comprises the steps of obtaining a keyword input by a user; acquiring a plurality of search paths according to the keywords in a constructed knowledge graph; calculating the length of each search path according to a preset path length algorithm; calculating the reliability of each search path according to the length of each search path and apreset reliability algorithm; and providing the search path with the highest reliability as a default search path for the user. According to the method, the length and the reliability of each searchpath are calculated, and then the search path with the highest reliability is provided for the user as the default search path, so that the purpose of improving the user experience is achieved.

The embodiment of the invention discloses a large-scale grain depot grain volume weight automatic measurement system and measurement method, the system comprises a grain bin, a walking frame, a graintaking device and a weighing device, the walking frame is arranged in the grain bin so as to form longitudinal and transverse walking tracks at the top of the grain bin, and the grain taking device comprises a movement mechanism and a container; the moving mechanism drives the container to sample grains in sequence at at least five measuring point positions along the walking track, the weighing device comprises a grain tank and a weight sensor, the moving mechanism drives the container to loft into the grain tank, the weight sensor weighs the grains in the grain tank for 3-5 times, and a meanvalue is obtained and the measured mean value is returned to the main control terminal. Manual weight measurement is not needed, the measurement process is more convenient, personnel injury risks in the measurement process are reduced, data arrangement is clearer and simpler by combining with the Internet technology, the related range is wider and more comprehensive, and subsequent centralized processing and further utilization are facilitated.

The invention provides a shopping cart recycling robot. The robot includes wheels, a main drive motor, axles, steering rocker arms and the like. The robot is characterized in that the wheels are pneumatic tires with which the main drive motor is sleeved, the axles are shafts which support and are connected with the main drive motor, one end of each axle is provided with an axle sleeve and sleevesthe corresponding steering rocker arm and a corresponding steering installation shaft, rocker arm articulated buckles are installed at the two ends of a steering tie rod, a bottom plate is a special-shaped symmetrical bottom plate, a circle of longitudinal mounting plates are arranged above the special-shaped symmetrical bottom plate, and the internal structure is protected. According to the robot, a simple balance car is used as a carrier for dragging shopping carts, the robot has the advantages of being simple in structure, flexible to operate, high in moving speed, wide in involved range and the like, a grabbing structure can be contracted through control, and the occupying area is reduced. When necessary, a universal wheel can be lowered to reduce force on the main drive wheels and theservice life is prolonged.

The invention discloses an integrated experimental device for soil remediation activation method research, and belongs to the technical field of soil remediation experiments.The integrated experimental device comprises a main body and a base located below the main body, an opening is formed in the upper portion of the main body, the base is hollow, and a cathode electrode placement plate is arranged in the middle of the top face of the main body; anode electrode placing plates are arranged on the two sides of the top surface of the main body, a plurality of placing holes are formed in the surfaces of the cathode electrode placing plate and the anode electrode placing plate, a group of dosing barrels are arranged below the position between every two groups of placing holes in the cathode electrode placing plate, and a plurality of stirring rod groups are arranged on the outer wall of each dosing barrel; the experimental device disclosed by the invention can be used for completing various different soil experiments, is wide in related range, particularly has a relatively good experimental effect on experiments such as electric diffusion, electric heating coupling, metal ion activation and catalytic oxidation in chemical remediation, and can obtain relatively accurate experimental results.

The invention discloses a test method of a semiconductor memory, and relates to the technical field of semiconductor memory test. The invention comprises a DC test, a function test and an AC test, theDC test verifies voltage and current parameters of a semiconductor, the function test verifies a series of logic function operations and correctness thereof in a chip, and the AC test ensures that the chip can complete the logic operations within a specific time constraint. The test method of the semiconductor memory is higher in detection precision of semiconductor hardware, wider in detection link involved range, and capable of effectively reducing the error rate and improving the product yield.

The invention discloses a large-scale complex project classification decomposition planning processing method and system. The system comprises a general task book, a general task node, an intermediate task node, a last-stage node and a task executor. The invention belongs to the technical field of informatization processing, and particularly provides a large-scale complex project classification decomposition planning processing method and system which can process complex projects more efficiently and is more suitable for projects which are high in transverse logic association between tasks and wide in related range.