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

The invention relates to the field of transmission of digital information, in particular to a multi-user real-time interactive shared reading device and a using method thereof. The multi-user real-time interactive shared reading device comprises network access equipment (11) and a network (2) and is characterized in that: a communication module is arranged in the network access equipment (11). The using method of the multi-user real-time interactive shared reading device is characterized by comprising the following steps of: a. accessing the network; b. exiting the network; c. establishing a shared reading group; and d. synchronizing action. According to the invention, the number of the users are not limited, the referred range is wide and the interactivity is high.

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 a ship target detection method based on a multi-scale fusion strategy. The ship target detection method comprises the following steps: S1, preparing a data set for training a feature extraction network model and a target detection network model; S2, designing and obtaining an optimized feature extraction network by combining the concept of multi-scale feature fusion; S3, transplanting the feature extraction network model obtained in the step S2 into a target detection network RFCN to obtain MFF-RFCN based on multi-scale feature fusion; S4, based on the self-built ship target detection data set Dataset-detection in step S1,, carrying out training to obtain a network model which can be better applied to ship target detection. By adopting the technical scheme of the invention, the high-level feature map and the low-level feature map are fused, the semantic information and the position information are integrated, the feature extraction capability of the network canbe further improved in a resource-unlimited use scene, and the method has the advantages of high detection precision, wide coverage scale and the like.

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 invention discloses a middle and advanced colorectal cancer treatment scheme decision-making algorithm, which is used for carrying out individualized treatment prediction on a colorectal cancer patient and comprises the following steps: sequentially carrying out step-by-step REO marker evaluation on the colorectal cancer condition based on a gene expression profile of the patient in combination with clinical pathological staging and other biological characteristics of the colorectal cancer; a middle and advanced colorectal cancer treatment scheme decision algorithm model is constructed by using an REO mark set and is used for predicting the recurrence / metastasis risk of middle and advanced patients, the adjuvant chemotherapy benefit condition (middle-stage patients) and the drug resistance of immunotherapy and targeted therapy (advanced patients), and an optimal individualized treatment suggestion is given. The method provides more accurate and effective individualized treatment guidance for intestinal cancer patients, and has good application prospects and practical significance.

The invention provides a public participative water saving method under the background of city water resource shortage and ladder-like water price enforcement; the method comprises the following steps: 1, collecting and parsing data; 2, using the ladder-like water price as background, and building a resident tradable water volume measuring and calculating method based on the elasticity price theory; 3, building a resident-newly built industrial water transaction mode using a water supply company as a trading agent; 4, determining the trading price under the resident-newly built industrial water transaction mode; 5, making a ladder-like gain distribution mode under the resident-newly built industrial water transaction mode, and computing water saving gains. The water saving method can effectively utilize unused domestic water configuration water volume in water resource programs, can motivate residents to save water through water saving gains, and can use the resident tradable water volume to develop new industries, thus providing the ant colony effect of the resident water consumption body in city water saving program, solving the problems that a new industry has no water to use, and improving the whole water saving level of water resource shortage cities.

The embodiment of the invention provides an information security capability evaluation method and system based on mobile-terminal behaviors. User information security capability is evaluated accordingto behavior data of a mobile terminal in user use, thus the problems of singularity and insufficient evaluation comprehensiveness of existing information security capability evaluation methods are solved, importance of the objective behaviors on body analysis is emphatically considered, and an information security capability evaluation result is enabled to be more realistic and reliable.

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 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 discloses a method for using low-temperature plasma to prepare a supported metal sulfide catalyst and belongs to the technical field of material science. The method is characterized by including: allowing ionization of hydrogen sulfide gas or gas containing hydrogen sulfide through gas discharge to form the low-temperature plasma distributed evenly, and using the low-temperature plasma to interact with supported metal salt precursor to generate metal sulfide. Due to the fact that the catalyst is avoided from being exposed in excessively high temperature, the prepared catalyst is free of thermal agglomeration, so that the catalyst is smaller in particle size and higher in dispersity. The method is suitable for preparation of various sulfide catalysts, metal sulfide can be supported on different materials to prepare various supported catalysts. The method has the advantages of low reaction temperature, low energy consumption, short preparation time and the like. In addition, processing objects are common metal salt, wide involve range is achieved, and the prepared catalyst is applicable to various common heterogeneous reactions.

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 direct-current ammeter with a wide metering range. The direct-current ammeter comprises a sampling element and a sampling information processing circuit, a sampling information sending end of the sampling piece for transmitting the acquired information is connected with a sampling information receiving end of the sampling information processing circuit; the sampling information processing circuit comprises a metering chip, an anti-aliasing filter circuit and a voltage division sampling circuit for acquiring voltage signals of a load and a direct-current charging pile;the input end of the anti-aliasing filter circuit serves as the sampling information receiving end of the sampling information processing circuit, the output end of the anti-aliasing filter circuit is connected with the current sampling signal receiving end of the metering chip, and the output end of the voltage division sampling circuit is connected with the voltage signal receiving end of the metering chip. The invention provides a direct-current ammeter with a wide metering range.

The invention discloses a method for improving the measurement accuracy of a high-current direct-current ammeter, which comprises the following steps: performing parameter calibration on the data collected by the high-current direct-current ammeter; verifying the calibration result, and starting a corresponding repair mechanism according to the verification result; and setting a threshold Range, to reject the ammeter whose sampling error is greater than the threshold range; the present invention adds current small signal compensation calibration; performs noise bias calibration for three voltage channels and one current channel; performs small current, low voltage, and low power In addition to compensation, the measurement range is expanded. In the process of meter calibration, the method of meter calibration range limitation is added, which can effectively eliminate large errors caused by bad manganese copper or hardware circuit errors, and improve the accuracy of data measurement; Use the communication link to encrypt information and data, prevent the data transmitted by the communication module to the server from being intercepted and tampered with, and effectively improve the accuracy of the measurement data.

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 a deep learning-based knowledge map search path method, which is used to solve the problem of too many and inaccurate search paths retrieved by the existing knowledge map search path acquisition method. The method includes: obtaining keywords input by the user; obtaining multiple search paths according to the keywords in the constructed knowledge map; calculating the length of each search path according to a preset path length algorithm; The length of each search path and the preset reliability algorithm are calculated to obtain the reliability of each search path; the search path with the highest reliability is provided to the user as the default search path. In this method, the length and reliability of each search path are calculated, and then the search path with the highest reliability is provided to the user as a default search path, thereby achieving the purpose of improving user experience.

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 relates to a concrete pavement leveling machine for building construction, which includes a center seat mechanism, an outer ring mechanism, a nozzle mechanism, a stopper mechanism and an inner ring mechanism; The motor fixing plate on which the driving motor is installed, the bottom surface of the seat is equipped with a swivel seat for driving and connecting with the motor, the bottom of the swivel seat is installed with a sweeping floor, four turning bars are arranged around the seat, and the outer ring There is also an inner ring mechanism between the mechanism and the water pipe mechanism, and the shaft assembly will be hit by the simultaneously rotating blocking mechanism, forcing the shaft assembly to move in the arc direction of the annular channel of the inner ring mechanism, and it will just reach the nozzle during the displacement process. When spraying water during the rotation of the nozzle, the water scattered downward will also come into contact with the shaft assembly that rotates at the same time, forcing the falling water to be in the sprinkler state, further increasing the spraying area and making the ground The effect of dust suppression is better.

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 relates to the technical field of profile preparation, in particular to a device for preparing flow lines on the surface of wood-plastic composite materials, including an intelligent control system, a main material feeding mechanism, a main material melting and plasticizing mechanism, a color masterbatch mixing mechanism, a color masterbatch Material melting and plasticizing mechanism, main material homogenizing mechanism, color masterbatch homogenizing mechanism, cooling mechanism, texture control mechanism, main material unloading mechanism is connected with main material melting and plasticizing mechanism, main material melting and plasticizing mechanism is connected with main material homogenizing Mechanism, the color masterbatch mixing mechanism is connected to the color masterbatch melting and plasticizing mechanism, the color masterbatch melting and plasticizing mechanism is connected to the color masterbatch homogenizing mechanism, and the output end of the main material homogenizing mechanism is connected to the color masterbatch homogenizing mechanism and the cooling mechanism in turn , Texture control mechanism. Compared with the film sticking process on the market, the product prepared by the integrated molding technology of the present invention does not fade, peel or crack, and is more environmentally friendly and full of vitality.

The invention discloses an election algorithm for a space layer controller of a space information network. First, each satellite node checks its own state, and releases its load degree value and the hop number information of other satellites; considering the load degree and the hop number comprehensively, the load degree is selected Light and one hop, two hops as many nodes as possible, determine the controller; publish the information of each regional controller satellite, notify to each controller node satellite, and then enter the next cycle; the controller in the previous cycle Node satellite numbers are put into several cache areas; satellites directly connected to controller node satellites are added to the cache area to which the controller satellite belongs. The invention divides the overall space information network into space layers, which are adjacent to the space layer and the ground layer, so as to ensure that the transmission of the controller between layers is minimized.

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.

The invention discloses a ceramic-substrate-based high-precision automatic drilling machine. The problem of low substrate positioning and drilling accuracy of the conventional drilling machine during the machining of a ceramic substrate is mainly solved. The drilling machine comprises a machine body, and a drilling driving device, a pneumatic feeding sucker device, a feeding lifting device and a conveyor belt, which are arranged on the machine body respectively, wherein the conveyor belt is connected with a two-dimensional platform regulation device; and the drilling driving device is also connected with an optical imaging device. The drilling machine is well-conceived, ingenious in design and high in practicability; and the cutter feeding and withdrawal of a drill bit during drilling and the rotating speed of a high-speed motor are controlled and changed in real time by regulating the position of the ceramic substrate, positioning the ceramic substrate and acquiring and processing an image to realize the high-precision positioning and drilling machining of the ceramic substrate, the whole process is automatically implemented without manual intervention, the machining accuracy is high and errors are low, so that the drilling machine has high practical value and popularization value.