140results about How to "Low professional knowledge requirement" patented technology

The invention discloses a version upgrade and backup method for terminal through accessing an USB memory equipment. The upgrade method comprises following procedures: reading data file through accessing the USB memory equipment with data file to trigger the terminal; updating or upgrading through decryption identification before updated or upgraded version is applied. The backup method comprises procedures as follows: accessing the USB memory equipment to the terminal triggered before current data file is generated for the terminal and encrypted. The invention has the advantages of enabling local business configuration management and version management through accessing the USB storage equipment to the USB interface of the terminal when the operator cannot perform remote management for the terminal through other management mode; when the terminal is connected with the remote management system of the operator and is under management status, the terminal can report the status such as report reading, updating, applying and backing up of corresponding file on the USB storage equipment under the mode to the management system for statistics and failure diagnosis in the future.

The invention discloses a full-automatic aluminum cutting device which aims at solving the problem of low manual feeding efficiency of the existing aluminum cutting device and provides a safe and convenient full-automatic aluminum cutting device which can ensure the quality. The device of the invention includes: a feed device, a bracket and a cutting saw arranged on the bracket; the feed device includes an upper clamping part, a lower clamping part, a horizontal feed part and a locating part. The device fully uses machines to replace manual operation, thus not only enhancing the accuracy, increasing the efficiency, reducing the cost, but also saving the human labor and materials as well as enhancing the safety performance.

The invention discloses a designing and prediction method for converting high-temperature stress relaxation data into creep data. The method mainly comprises the following steps: establishing a stress relaxation two-stage superposition model; creating the concepts of equivalent full relaxation time and equivalent relaxation creep rates, carrying out simulation of an equivalent relaxation creep rate in two integrated relaxation stages to obtain a steady-state creep rate under constant stress and establishing a stress relaxation-creep conversion model; acquiring stress relaxation performance data of a high-temperature component material; subjecting the data and the stress relaxation two-stage superposition model to fitting so as to obtain a corresponding material constant; and carrying out calculating according to a numerical analysis program, solving the stress relaxation-creep conversion model and eventually converting stress relaxation data into creep data so as to obtain a steady-state creep rate curve and a steady-state creep curve. According to the invention, accurate association between stress relaxation data and creep data behaviors is established; a prediction method for converting single relaxation data into creep data under any stress is constructed; so a novel approach is provided for designing of creep strength of a high-temperature member and for evaluation of the service life of the high-temperature member.

The invention provides a characteristic building elevation surveying and mapping method based on images. Firstly, a typical component CAD graph representing the style of a characteristic building is obtained in a method based on the images, a characteristic component database is built, then a wall face critical dimension is obtained as a constraints by means of photogrammetry, the typical component CAD graph on the building is deformed to generate a characteristic component consistent with the size of the building to be measured, and a surveying and mapping CAD graph of the characteristic building is generated. By means of texture synthesis and texture clipping, corresponding areas having large-area repetition structure characteristics on the wall face are quickly filled. Only one structure unit is measured for the repetition structure characteristics, and other repeated units are quickly generated by means of copying. The method can precisely measure the size of an elevation of the building, can accurately describe partial detail characteristics of a characteristic component, has the advantages of being low in cost, convenient, flexible and efficient, and can be widely used in elevation surveying and mapping of characteristic buildings of various types.

The invention discloses an embedded software automatic test system, comprising a host and a CAN bus network system. The embedded software automatic test system is characterized in that the host is connected with a node controller through a serial port, the node controller respectively forms CAN networks with equipment to be tested through CAN buses; and a data buffer unit, a protocol conversion unit and a control unit are arranged in the node controller. The method of the embedded software automatic test system is as follows: (1) the host transmits preset use case parameters to a node controller through the serial port; (2) the protocol conversion unit converts CAN protocols and transmits the CAN protocols to each equipment to be tested in a broadcasting mode; (3) the equipment to be tested is processed according to use case parameters to feedback results; (4) data is prepared and the uploaded to the host; and (5) the host judges and outputs a test result. In the invention, the node controller is arranged between the host and the network system to realize data transmission between the host and each equipment to be tested in the CAN bus network, thus realizing test on the network performance and coordination of the whole system.

The invention relates to a method for converting creep data into material high-temperature stress relaxation data, which comprises the following steps: a method and a step for acquiring the material creep property data of a high-temperature component material at certain temperature and performing normalization processing on the material creep property data, a method for dividing the process of relaxation, and a process of creep-relaxation conversion. The method comprehensively considers the influences at different creep stages, improves the precision of data conversion from creep to relaxation, can acquire the relaxation property data satisfying the design requirements on engineering structures, and can be expected to replace relaxation tests having high requirements on experimental installations.

The invention discloses a method for amplifying mitochondrial gene total sequences of fishes in Yangtze River based on a degenerate primer combination and application thereof. The primer combination is obtained by designing in a conserved region through comparing the mitochondrial total sequences of fishes of acipenseridae, salangidae, cyprinidae, salmonidae, anguillidae, siluridae, bagridae, cyprinodontidae, hemiramphidae, synbranchidae, serranidae, gobiidae, channidae, bagridae and cobitidae, and the primer combination comprises Mt-1F, Mt-1R; Mt-2F, Mt-2R; Mt-3F, Mt-3R; Mt-4F, Mt-4R; Mt-5F,Mt-5R; Mt-6F, Mt-6R; and Mt-7F, Mt-7R. According to the method, the seven pairs of primers are used for carrying out PCR amplification on corresponding gene fragments, and the mitochondrial gene totalsequences are obtained through connection transformation, sequencing and splicing; the primer combination is less, the amplification effect is good, and the monitored fishes and roe can be effectively classified and identified. According to method provided by the invention, the degenerate primers are designed on the basis of the fish mitochondria conserved region, so that the mitochondrial gene total sequences of various fishes can be obtained; the universality is high, the obtained data can be applied to the research of fish mitochondrial genomes, thus perfecting a mitochondria database.

The invention relates to a space-time data processing platform and method based on time and space data models, and belongs to the technical field of space-time big data processing and analysis, a datamodel is established through combination of time and space data, changes of space factors over time can be realized, time, space and attribute characteristics of geographical things and phenomena canbe organically combined, and the geographical things and phenomena can be enriched as an expression content, and meanwhile, the rapid analysis, writing, persistence and multi-latitude aggregate queryof the space-time data are supported.

Artificial music composing for a song is a very difficult and big job. In a traditional method, if a fitting degree between the accompaniment and human voice is high, the effect is good and the cost is high. Software on the internet integrates part of playing templates, but, in order to make a complete song, some professionals are needed to choose suitable chords and instruments and to make changes of music levels during song production. The method for automatically composing an accompaniment for the melody comprises steps of receiving an MIDI file provided by a user and parameters of various instrument types, dividing bars according to a speed to obtain note information, determining tonality through analysis, determining a musical mode, composing a chord and optimizing an effect, matching instruments and generating the MIDI. The method and system for automatically composing accompaniment for the melody turn a burdensome artificial processing process to a fast and efficient automatic intelligent accompaniment composing method. The user can try multiple matching modes in a short time, can modify any instruments and chords at anytime, can listen to a final effect during operation and stores the accompaniment as an audio file.

The embodiment of the invention discloses a natural language utilized distributed intelligent interaction achieving method and a system thereof. The natural language utilized distributed intelligent interaction achieving method includes that a human-computer interaction control module enables a request which is expressed in the form of natural language to be sent to a natural language parsing or understanding module and a processing result which is expressed in the form of machine language is obtained and returned to the human-computer interaction control module according to the request which is expressed in the form of the natural language; the processing result which is expressed in the form of the machine language is converted into a machine executable command; task analysis is performed on the machine executable command to obtain a task execution routing table; task processing is achieved through at least one processing node and a return result which is expressed in the form of the machine language is obtained; the return result which is expressed in the form of the machine language is converted into a return result which is expressed in the form of the natural language and sent to the human-computer interaction control module; display is performed through a human-computer interaction device. The embodiment of the natural language utilized distributed intelligent interaction achieving method and the system thereof can solve the complex problems and greatly improve the success rate of task achievement.

The invention discloses an intelligent CT (computed tomography) scanning method and an intelligent CT scanning device. The method comprises the following steps: placing a to-be-detected object onto a carrier table of a CT scanning device, and firstly photographing a DR picture; judging whether the to-be-detected object exceeds the field of view or not by utilizing a Canny margin detection algorithm, and reporting an error if the to-be-detected object exceeds the field of view; otherwise, moving the to-be-detected object onto the center of an X axis of the carrier table, rotating the carrier table for 90DEG, re-photographing a DR picture, judging whether the to-be-detected object exceeds the field of view or not by utilizing the canny margin detection algorithm, and reporting an error if the to-be-detected object exceeds the field of view; otherwise, moving the to-be-detected object onto the center of a Y axis of the carrier table, and adopting the current position as a CT scanning position; moving the to-be-detected object back to the CT scanning position, and starting the CT scanning. By adopting the method, the requirement on the professional knowledge of the detection personnel is lowered, the detection efficiency is improved, the detection process is more objective, standard and intelligent, and the quality control can be better realized.

The invention discloses a migration method based on PostgreSQL block storage equipment. The migration method comprises the following steps: performing reading / writing on a PostgreSQL block by using PostgreSQL block storage equipment reading / writing module, managing the PostgreSQL block in PostgreSQL block storage equipment by the PostgreSQL block storage equipment reading / writing module according to a mapping relationship table of PostgreSQL block-data table and an idle PostgreSQL block table, copying the mapping relationship table of the PostgreSQL block-data table and the idle PostgreSQL block table into a new database from an original database, and migrating the PostgreSQL block storage equipment into a computer where the new database is located from a computer where the original database is located. By adopting the migration method based on the PostgreSQL block storage equipment, databases can be very easily migrated among different systems, and special knowledge of operators is not highly required. The checking speed and the reading / writing speed can be greatly increased, and the speed can be increased by 10-20% under the condition of identical rear end storage. The increase is very considerable for the databases.

The invention discloses a field disease degree image identification method based on an android. Firstly, performing JAVA programming on an intelligent terminal which applies an android operation system and obtaining a needed identification system operation interface; when a field disease survey needs to be carried out, using the built-in shooting function of the intelligent terminal and obtaining images of field blades; then through a man-machine interaction method, outlining blade areas and scab areas of the blade images; and at last, through image analysis, automatically calculating areas of the blade areas and the scab areas and calculating the percentage of the scab areas so that severity of plant disease is obtained. The method can not only solve a problem of on-site precise identification of plant disease severity, but also has low demands for professional skills of operation personnel so that efficiency of field plant disease analysis can be improved significantly.

The invention discloses a method for detecting the nodulizing grade of 12Cr1MoV pearlite on site based on a laser plasma spectrum, which covers the shortages that the traditional pipe cutting analysis has destructivity, on-site metallographic phase replica analysis has complex processes, and the requirements on the professional knowledge level and the experience of analysts are high. According to the method, pipe cutting is not needed and mechanical removal and polishing on the surface is also not needed before nodulizing grade analysis is performed on a heated surface pipeline; pulse laser is directly acted on the surface of the pipeline to remove an oxidation layer and a carbon-removing layer of a detected part; and plasma spectral data is acquired and analyzed to obtain the tensile strength sigma b of the measured pipeline material and output the nodulizing grade of the pearlite. The method has the advantages that the measured pipeline is approximately non-destructive; the detection process is simple; the requirements on the professional knowledge level and the experience of the analysts are low; the whole data analysis process is automatically finished by computer program; and the detection efficiency is high.

The invention discloses a prediction method for residual stress and damage caused by stress relaxation of a high-temperature material. The predication method mainly comprises the following steps: based on two creep deformation damage models and a stress relaxation strain model, establishing a corresponding stress relaxation continuous damage model; acquiring the material creep deformation performance data of a high-temperature component material at a temperature; based on the creep deformation performance data, fitting out corresponding material constants corresponding to the two creep deformation damage models; and by employing a data analysis technology and through program calculation, solving the stress relaxation continuous damage model, and finally converting the creep deformation data into stress relaxation data, so as to obtain a stress relaxation curve and a stress relaxation damage cure, and further to predict the residual stress and the damage degree caused by the stress relaxation of the high-temperature material. According to the method, the precise association of obtaining the relaxation behavior from the creep deformation data is established, and the complete prediction method for residual stress and damage caused by stress relaxation of the high-temperature is established, and a new approach is provided for stress relaxation strength design and management maintenance of high-temperature components.

The invention relates to a test resource rapid access method based on an HIT-TENA. The test resource rapid access method based on the HIT-TENA mainly solves the problems that the whole access process is difficult, a test system carries out operation difficultly, and repeated operation exists in the access process. The test resource rapid access method based on the HIT-TENA comprises the steps of 1, selecting an access mode; 2, editing basic information of test resources; 3, loading an object model required by access resources; 4, performing configuration according to the access mode; 5, generating test resource codes according to a protocol format; 6, performing modular package on a Simulink model; 7, packaging a resource assembly of a control interface; 8, packaging a virtue model; 9, compiling assembly codes, and the like. The test resource rapid access method based on the HIT-TENA is applied to the field of test resource rapid access of the HIT-TENA.

The invention discloses a lie detection method based on a depth recursion-type condition-restricted Boltzmann machine. Firstly, in a continuous voice paragraph, by using the fact that the condition-restricted Boltzmann machine has good modeling features and a simple reasoning process on a time series, a training sample is modelled to obtain high-order statistic information about whether or not a speaker lies; then, supervised parameter training is conducted on a recurrent neural network by using the high-order statistic information and the label of the training sample. After initialization parameters of the condition-restricted Boltzmann machine and the recurrent neural network are obtained, the two basic network units are constructed from bottom to top; on a validation data set, the parameters of the recurrent neural network are finely adjusted based on least square regression; by using the constructed networks, voice signal features of the speaker are tested. According to the method,the result of lie detection can be obtained automatically, and the method has a relatively-high recognition rate, low requirements on the professional knowledge and skills of evaluators and high testefficiency.

The invention provides a lake and reservoir water ecological health evaluation technical method, and belongs to the technical field of ecological environment protection. According to the method, firstly, eutrophication, macroinvertebrate and floating algae indexes of a lake and a reservoir are measured; then by the method disclosed by the invention, a comprehensive nutritional status index, the macroinvertebrate index and the floating algae index are calculated and are subjected to normalization processing, and a water ecological health index is calculated; and finally, according to a water ecological health index grading standard divided by the method, water ecological health statuses of the lake and the reservoir are evaluated. According to the method disclosed by the invention, a small amount of indexes are adopted, the indexes include a great information quantity, the adopted indexes, particularly the biological indexes are low in acquisition difficulty and low in requirement for professional knowledge, and the method is convenient to implement and apply in a large range. By applying the water ecological health evaluation technical method established by the invention, comprehensive evaluation on lake and reservoir water ecological health can be implemented from the points of water quality and biology.

The invention discloses an auxiliary diagnosis system for early gastric cancer under an electronic staining endoscope based on deep learning, and the system comprises an image obtaining module which obtains a stomach image collected in real time in an examination process of the electronic staining endoscope; an early gastric cancer recognition module used for recognizing a focal zone and marking the focus area based on a pre-constructed early gastric cancer recognition model; and a logic judgment module used for judging whether the identified focal zone belongs to the same focal zone or not when the identified focal zone is overlapped. By means of a common electronic staining means, the invention provides the method for identifying the gastric early cancer based on an electronic staining endoscopic image, and the real-time performance, accuracy and practicability of detection are greatly improved.

The invention discloses a testing method for a power distribution terminal remote control functional software module. The method includes: communication connections of power distribution terminal automatic testing system software with a to-be-tested power distribution terminal and a relay protection testing instrument are built respectively; the system software sets remote control parameters of the to-be-tested power distribution terminal through the communication connection; the system software transmits a remote control instruction, and the to-be-tested power distribution terminal responds to the remote control terminal and upload a feedback signal to the system software through the communication connection and the relay protection testing instrument; the system software compares the feedback signal with the remote control parameters received by the to-be-tested power distribution terminal to determine whether the two are consistent or not.

The invention discloses a read-write module of a PostgreSQL block storage device. The read-write module of the PostgreSQL block storage device manages PostgreSQL blocks in the PostgreSQL block storage device and is constructed in a PostgreSQL database system. The read-write module of the PostgreSQL block storage device manages the blocks in the PostgreSQL block storage device through a mapping relationship table between the PostgreSQL blocks and a data table as well as an idle PostgreSQL block table. The read-write module of the PostgreSQL block storage device is securer for reading and writing of data in a database. The data in the database is stored in the block device according to an established rule, so that the data is higher in security. Moreover, due to the use of distributed storage, the data is subjected to fragmented storage and multiple copies are stored in different data nodes, so that the security is improved by more than a hundred times in comparison with that of a single disk.

The invention discloses a retrieval method and device based on a domain knowledge graph and a search engine, and the method comprises the steps: building a relation graph based on the domain knowledge graph after obtaining the input of a user and collecting a first search intention of the user, and confirming and recognizing a second search intention of the user according to the interaction operation of the user and the relation graph. Therefore, the more accurate collection and understanding of the user intention are achieved, and a search engine can more accurately search required data conveniently; and due to the fact that the constructed and displayed relational graph not only covers the intention represented by the original input of the user, but also comprises automatically-expanded information associated with the intention represented by the original input of the user, so a knowledge exploration and extension space capable of being visually looked up and operated is provided for a user to confirm the search intention of the user, and the requirement for professional knowledge of the user is lowered; on the premise of low specialty requirements, the information retrieval problem in a data association relationship scene with knowledge complexity, specialty and certain breadth / depth can be solved with high accuracy, high efficiency and low time consumption.

The invention discloses a data detection control method and a data detection control device based on a flexible testing technology. The method comprises the following steps of: obtaining an equipment mark of a detector and determining equipment description information corresponding to the equipment mark of the detector in an equipment specialist database; pre-establishing and storing a plurality of the equipment marks, a plurality of the equipment description information, and a mapping relation between the equipment marks and the equipment description information by virtue of the equipment specialist database; generating a detection parameter configuration interface corresponding to the determined equipment description information and collecting detection configuration parameters based on the generated detection parameter configuration interface; and constructing a data collection engine according to the collected detection configuration parameters and the collected equipment description information, wherein the data collection engine is used for controlling the detector to execute data detection operation corresponding to the collected detection configuration parameters. According to the data detection control method and the data detection control device based on the flexible testing technology, the efficiency and the accuracy of configuring and executing a data collection task are improved.

The invention discloses a method for arranging aeromagnetic survey flight paths of an unmanned airship. The method includes steps of (a), acquiring design survey line data and take-off and landing platform coordinates, selecting an initial design survey line and determining an entry point and a return point; (b), computing a total range D<t> according to an equation of D<t>=D<1>+D<2>+D<3>+D<4>; (c), selecting a next design survey line and adding the next design survey line into a flight path when the D<t> is smaller than a maximum range D<max>, and computing a new D<t>; (d), repeatedly carrying out the step (c) until the new D<t> is larger than the D<max>, reducing the length of the last added design survey line by delta d until the D<t> is smaller than or equal to the D<max>, completely generating the first flight path and storing the first flight path; (e), circularly repeatedly carrying out procedures from the step (b) to the step (d) on the basis of the first flight path until all design survey lines are used, and completely arranging all the flight paths. The method has the advantages that the flight paths are divided according to attributes, and the range is limited according to the attributes, so that the flight paths can be optimized, and the requirement on professional knowledge of operators can be lowered; the method is speedy, simple and convenient and is widely applicable to designing flight paths on flat areas and flight paths on complicated mountainous and offshore terrains and the like.

The invention discloses an early prediction method for cycle life and capacity attenuation of a supercapacitor based on a neural network. The method comprises the following steps: performing a constant-current charging and discharging cycle test on the supercapacitor; defining the service life according to the ratio of the existing capacitance to the rated capacitance; establishing a regression error evaluation system; selecting different thresholds to obtain models with different precision results at different costs; selecting physical quantities related to the voltage drop, the capacitance and the IRdrop as features and features further derived from the physical quantities; and taking the features obtained in the previous step as input, using an artificial neural network to adjust hyper-parameters of the model, and training and predicting the hyper-parameters. The early cycle life prediction model is simple, high in precision, high in speed and high in flexibility.

The invention discloses a communication protocol extraction method for a micro-miniature civil unmanned aerial vehicle remote control link. The communication protocol extraction method for the micro-miniature civil unmanned aerial vehicle remote control link extracts the time, frequency and data information of the protocol through chip identification, chip communication signal extraction and othermethods, and extracts the data format of the protocol through wireless signal acquisition and other methods. The invention uses a low cost software defined radio device, therefore, the implementationcost of communication protocol extraction is reduced; the implementation method is simple; the means are flexible and has nothing to do with the model of the unmanned aerial vehicle; meanwhile, the invention has low requirements for the expertise and skills of the operator.

The invention provides a distributed server centralized management method. The method comprises the steps of randomly selecting a server from servers of a distributed system, installing a centralizedmanagement system in the randomly selected server, and installing a service program in each of the residual servers; automatically connecting to the centralized management system through the service program installed in each server, and reporting basic information of each server to the centralized management system; selecting the server needing to send a control instruction according to the reported basic information in the centralized management system, and sending the packaged control instruction to the selected server; and analyzing the received control instruction through the service program in the server, and executing a local task. The invention furthermore provides an apparatus corresponding to the method. The method and the apparatus have the advantages that complicated operation of inputting an account, a password and the like in upgrading or maintenance can be avoided; visual operation can be realized; and multiple servers can be operated in batches, so that the upgrading ormaintenance efficiency and quality are both improved.

The invention discloses a method and a device for selecting endpoints during establishment of end-to-end service layer service. The method comprises the following steps of: acquiring a physical fiber connection relationship between network element objects; acquiring fiber endpoints on the network element objects according to the physical fiber connection relationship; determining corresponding port objects of the fiber endpoints on the network element objects, configuring single board objects in the network element objects, and putting the port objected into the single board objects to form a tier structure of network element objects to single board objects to port objects from high to low; and according to the tier structure, selecting downwards from the network element objects layer by layer until the endpoints are selected from the port objects. The invention can reduce errors in the process of selecting the endpoints during the establishment of service layer service, and improves the efficiency of selecting the endpoints.

The invention provides a method for constructing a trusted software whitelist. The method comprises: automatically synchronously downloading software from a plurality of software downloading sites according to a job scheduling task; making a trusted judgment on the downloaded software, and establishing a trusted software whitelist according to the trusted software. The trusted software whitelist construction method of the invention automatically obtains an executable program in the Internet range, so as to maximize the coverage of software programs that Internet users may use, by using the software trustworthiness analysis tool to obtain the software program trustworthiness analysis of obtained software programme, a corresponding trusted software whitelist is generated and provided for Internet users to download and use, which can greatly reduce the professional knowledge and skill requirements of users, improve the usability of the trusted software whitelist mechanism, thus promotingthe application of the trusted software whitelist mechanism, and improving the level and ability of network security prevention.

The invention discloses an expert system-based handheld cotton assorting apparatus and a working process thereof. The apparatus comprises a core processing unit, a USB communication unit, a power supply unit, an input module and a display unit. The core processing unit adopts a core module of an expert system, consists of an embedded microcontroller, a storage unit and a peripheral circuit, and is connected with the communication unit, the input module, the display unit and the power supply unit. The core function module of the expert system is arranged in the apparatus; based on expert knowledge and a cotton assorting mathematic model, by utilizing the characteristics of high computing speed of a computer, good search capability and good linear solving of an inference engine, the deficiency of manual cotton assorting and the shortcoming of high investment of a special cotton assorting platform are overcome; the handheld cotton assorting apparatus is designed, so that large-area popularization of automatic cotton assorting of small and medium-sized textile enterprises is facilitated; decision support is provided for cotton assorting design and raw cotton purchase; and the purposes of stabilizing the cotton assorting quality, reducing the cotton assorting cost and facilitating operation and carrying are achieved.