174results about How to "Comprehensive response" patented technology

The invention relates to a smart agricultural insect disease remote automatic diagnosis system. The system comprises an interaction system, an identification system and an insect disease database management system. The interaction system comprises an information acquisition system, a wireless communication system and an information display system; the identification system comprises a similarity comparison system and a remarkable feature extraction system; and the inset disease database management system comprises an insect disease picture database, an insect disease remarkable feature database and an insect disease diagnosis database. The smart agricultural insect disease remote automatic diagnosis system, based on images of crop growth conditions, through intersection operation of the image similarity and remarkable feature extraction comparison system and a machine learning algorithm of the identification system, can effectively improve the identification accuracy of an insect disease type. According to the insect disease type, the system provides an omni-directional diagnosis scheme so as to improve the survival rate and the quality of crops.

The invention provides an application method of cold field plasma discharge assisted high energy ball milled powder and a plasma assisted high energy ball milling device using the cold field plasma discharge assisted high energy ball milling method. The method comprises the following steps: utilizing dielectric barrier discharge to generate plasmas, introducing a dielectric barrier discharge electrode bar into a high-speed vibrating ball-milling tank, on one hand, requiring a solid insulating medium on the outer layer of the electrode bar to simultaneously bear high-voltage discharge and mechanical shock failure of the grinding ball, and on the other hand, requiring the high-speed vibrating ball milling device to uniformly process the powder. The method is based on the ordinary ball milling technology; the processing efficiency and the effect of the ball mill can be greatly improved by the following steps: under a non-heat-balance discharge condition of the pressure that the discharge space pressure is set to be about 102-106 Pa, introducing the discharge plasmas to input another effective energy to the processed powder, promoting the powder to be processed to be subjected to combined action of the mechanical stress effect and the heat effect of the external electric field, and further accelerating refining of the powder and promoting the alloying progress.

The invention provides a GPS navigation system capable of automatically updating a map. The system comprises an electronic map data base, a navigation module, a road net data updating generation module, and a data comparison module, wherein the electronic map data base is used for storing the road net data of the electronic map of the system; the navigation module is used for finding out the navigation data guiding a navigation object to reach the set destination from the electronic map data base according to the current position information of the navigation object; the road net data updating generation module is used for recording the dynamic track of the moving navigation object according to the positioning information of the navigation object and taking the dynamic track as the current road net data; and the data comparison module is used for comparing the current road net data with the road net data of the electronic map in the electronic map data base and generating a data comparison result; and if the two groups of road net data are different, the currently updated road net data is stored in the electronic map data base so as to add the road net data information of the electronic map into the electronic map data base. When the navigation object moves, the system and the method can realize the automatic updating of the road net data of the electronic map and make the map show the actual road conditions more thoroughly, accurately and in detail so as to find out the best navigation route.

The embodiment of the invention discloses a test method and a test device of hardware performance of electronic equipment. The test method comprises the following steps of obtaining a test beginning command; and responding the test beginning command and respectively testing hardware items to be tested, wherein a testing process comprises the steps of: firstly, executing a test of performance of a virtual machine to obtain a first execution result, and determining a first test result of the performance of the virtual machine according to the first execution result; secondly, synchronously executing the test of the performance of an RAM (Random Access Memory) and the test of the integer arithmetic performance of a CPU (Central Processing Unit) so as to obtain a second execution result and a third execution result; or executing the test of the performance of the RAM, and after the second execution result is obtained, executing the test of the integer arithmetic performance of the CPU so as to obtain as a third execution result; and lastly, determining a second test result of the performance of the RAM according to the second execution result, and determining a third test result of the integer arithmetic performance of the CPU according to the third execution result. According to the invention, testing accuracy of the hardware performance of the electronic equipment is improved through a reasonable testing order of the hardware items.

The embodiment of the invention provides a recording method, a device and a system of a multimedia conference. The recording method of the multimedia conference comprises the following steps of performing combined recording treatment to the data (at least video data, audio-frequency data or image data) of a multi-channel media stream in the multimedia conference. Since the combined recording treatment to the multi-channel media stream in the multimedia conference can be realized as per a recording strategy, the comprehensive situation of the multimedia conference can be shown better, and the recording strategy can be arranged flexibly.

The invention discloses a wheat growing status diagnosing method based on a mobile internet mode and leaf color analysis. The method is characterized by comprising the following steps that an intelligent mobile phone collects wheat leaf images and sends the wheat leaf images to a background server, the background server removes illumination effects on the wheat leaf images to achieve pre-processed sample images, wheat growing status information and disease results can be achieved from the pre-processed sample images through a color analyzing method and are fed back to the intelligent mobile phone, and the intelligent mobile phone receives the growing status information and the disease results and displays the growing status information and the disease results. The wheat growing status diagnosing method can achieve and analyze the wheat leaf information in real time, can comprehensively reflect wheat growing situations, disease and insect situations and further improves the accuracy of wheat growing status diagnosis.

The invention discloses a diesel oil pour-point depressant and a preparation method thereof, wherein the diesel oil pour-point depressant is prepared by the steps: carrying out an aminolysis reaction on a methacrylate maleic anhydride copolymer and higher fatty amine for 6 h with toluene as a solvent and p-toluenesulfonic acid as a catalyst and at a reflux temperature, adding methanol having the same volume as the reaction liquid volume into the obtained reaction liquid, producing a white precipitate, removing a supernatant, washing the obtained white precipitate with toluene, carrying out methanol precipitation to remove the catalyst p-toluenesulfonic acid, then controlling the temperature at 50 DEG C, and carrying out vacuum drying to obtain the diesel oil pour-point depressant. The diesel oil pour-point depressant solves the problems that a (methyl) acrylate pour-point depressant has poor adaptability with diesel oils with different carbon chains, at the same time, makes the reaction of maleic anhydride more diversified, provides another possibility for combination of a maleic anhydride pour-point depressant with the (methyl) acrylate pour-point depressant, effectively improves the condensation point and the cold filter plugging point of No.0 diesel oil, and enables the cold filter plugging point to be superlatively reduced by 11-12 DEG C.

The invention discloses a Wikipedia-based Chinese and English cross-language entity matching method. The method comprises the steps of firstly, obtaining Chinese and English Wikipedia page data through wikidump, and preprocessing data: extracting titles, abstracts, directories, full texts, link-out links, link-in links and classified information of pages; translating the titles of the Chinese wiki pages into English; performing word segmentation on the abstracts, the directories and the full texts; and extracting page cross-language links and classified cross-language links existent in Chinese and English Wikipedia; secondly, for the Chinese wiki pages, obtaining English cross-language page candidate sets of the Chinese wiki pages according to link-out link information; thirdly, calculating features between the Chinese pages and the English cross-language page candidate sets of the Chinese pages; and finally, building a sorting model, performing similarity sorting on the English cross-language page candidate sets of the current Chinese pages, and taking the English cross-language page candidate sets with the highest similarity as the cross-language links of the current Chinese pages.

The invention discloses a quick edible oil variety identification method based on multisource spectral feature fusion. The method comprises the steps of selecting an unknown variety of edible oil sample to be identified, acquiring a Raman spectrum chart and a near infrared spectrum chart, preprocessing the Raman spectrum chart and the near infrared spectrum chart to obtain a preprocessed Raman spectrum chart and a preprocessed near infrared spectrum chart, conducting feature extraction on the preprocessed Raman spectrum chart and the preprocessed near infrared spectrum chart to obtain a Raman characteristic variable and a near infrared characteristic variable, conducting spectral characteristic fusion on the Raman characteristic variable and the near infrared characteristic variable to obtain a characteristic fusion spectrum chart, and conducting variety identification on the unknown variety of edible oil sample by means of an optimized qualitative model. The method is safe and quick, detection is convenient, identification accuracy is high, and practical value and popularization value are high.

The invention relates to a map automatic updating method in GPS navigation. The method comprises the steps that: (1) a destination is set in an electronic map of a GPS navigation system; (2) according to a current location information of a navigation object, a navigation module searches an electric map database for navigation data for guiding the navigation object to arrive at the set destination; (3) when the navigation object moves, a dynamic trace of the current movements of the navigation object is recorded by a module generated by road network data updating, and is adopted as current road network data; and step (4), the current road network data is compared with original road network data in the electric map, such that a comparison result is obtained; if the result is that the data are not constant, namely the current road network data is novel, the current road network data is stored in the electric map database, such that electric map road network data amount in the electric map database is increased; if the result is that the data are constant, a navigation task is accomplished under the guidance of the navigation module. When the navigation object moves, automatic updating of electric map road network data is realized, such that on-spot situations can be more completely and precisely reflected by the map with more details, and an optimal navigation path can be found.

The invention belongs to the related technical field of metal cutting machining and discloses a compound oblique plane milling machining method for high-precision surface roughness control.The method comprises the steps that (a) a workpiece is machined in a plunge milling mode, and multiple process parameters are acquired; (b) instantaneous cutting widths under the different plunge milling machining conditions are respectively calculated according to an optimizing formula; (c) the calculated instantaneous cutting widths are utilized to establish a required cutter instantaneous dynamic total cutting force prediction model, and corresponding guidance is provided according to the model to complete the plunge milling machining process.By the adoption of the method, comprehensive and accurate prediction on the cutting force in the plunge milling machining process can be achieved under the condition that technical machining requirements are strictly met, and accordingly the process guidance is provided for the high-quality efficient plunge milling control process.Therefore, the method is especially suitable for the plunge milling machining occasions of impellers, casings and other grooved parts.

The invention relates to a seismic wave field separation method. A demodulator, a wavelet filter and engineering seismograph data preprocessing software are utilized for acquiring and analyzing a seismic wave. The method comprises the following steps of acquiring an initial seismic wave signal by means of a demodulator, and performing noise reduction on the initial seismic wave signal through the wavelet filter; performing F-K frequency domain conversion, reverse-F-K frequency domain conversion, linear Radon conversion and reverse Radon conversion on the seismic wave signal after noise reduction, thereby separating out a direct wave, a reflected wave, a refracted wave and a surface wave signal in the seismic wave signal. The seismic wave field separation method effectively improves precision and reliability in wave field separation.

The invention relates to a preparation method of a microchannel array plate. The method comprises the steps of: (1) taking two different optical fiber glass rods, wherein one cannot be corroded by corrosive liquid and one can be corroded by corrosive liquid, arranging the two glass rods closely, and melting the two glass rods under high temperature into a whole, drawing the whole one time or multiple times into a long and slender glass rod, cutting the fine drawn glass rod into small sheets to obtain a microchannel plate blank; (2) corroding the blank to remove the core so as to obtain a through-hole equipped microchannel plate; and (3) conducting hydrophobic treatment on the microchannel plate. The microchannel array plate and collection device provided by the invention can cooperate with an acceleration generation device to achieve high throughput and rapid production of uniform micron-scale liquid drops by inertia force.

The invention discloses a method and a device for testing the performance of electronic equipment. The method for testing the performance of the electronic equipment comprises the steps of obtaining a test beginning instruction, responding to the test beginning instruction and respectively testing items to be tested, wherein the items to be tested at least comprise the virtual machine performance and the multi-task performance. Testing of the items to be tested comprises the steps of executing testing of the virtual machine performance, obtaining a first execution result, determining a first testing result corresponding to the virtual machine performance according to the first execution result, executing testing of the multi-task performance after the first execution result is obtained, obtaining a second execution result, and determining a second testing result corresponding to the multi-task performance according to the second execution result. According to the scheme, through the reasonable item testing sequences, the testing accuracy of the electronic equipment can be improved.

The invention discloses a three-specific value method for diagnosing a fault of SF6 electrical equipment. In the method, CF4, CO2, SO2F2, SOF2 and SO2 are selected as SF6 partial discharge decomposition feature components, a decomposition component specific value method for identifying an insulation defect of the SF6 electrical equipment is established, and different insulation defects can be primarily identified by using differences of feature decomposition component specific values, namely CF4 / CO2, SOF2 / SO2F2 and (SOF2+SO2F2) / (CO2+CF4). The serious degree of the insulation defects is determined by the gas generation rate of the feature decomposition components, and the development tendency of the insulation defects is determined by using the gas generation change rate of the feature components. Compared with the prior art, the method has the advantages that: the feature components have stable performance and are easy to detect; the partial discharge fault type of the SF6 electrical equipment can be accurately identified; and a determination basis can be provided for the serious degree and the development tendency of the insulation defects of the SF6 electrical equipment.

The invention provides a reliability evaluation method of a distribution network considering load characteristics and distributed power supply access. The method fully considers the sequential load characteristics of different user types and different seasons, so that the evaluation result is more in line with the actual operation status of the power network. At the same time, the islanding supporting effect of DGAs on distribution network is also considered, which makes the evaluation method more applicable and can cope with more diverse distribution scenarios. Existing reliability assessmentof distribution network usually does not take into account the load sequence changes, the peak load is used for simulation, and the influence of the fault is inevitably amplified. The load characteristics such as load sequence characteristics and user type are considered in the reliability evaluation of the invention, so that the load point and the reliability index prediction result of the system can be improved, and the reliability index prediction result of the system is closer to the actual value.

The invention discloses a parallax image correcting method based on the image segmentation and credibility and aims to solve the problem that the accuracy of a parallax image is low after the parallax image correction currently. The method includes 1, inputting left and right viewpoint images; 2, performing image segmentation through mean shift; 3, acquiring an initial parallax image by an adaptive weight stereo matching method; 4, detecting the credibility of the initial parallax image by means of the generated initial parallax image and the matching cost; 5, performing parallax correction on the basis of the initial parallax image and the credibility. By the aid of the method, the problem of an incorrect parallax value caused by the shielding effect is solved, the accuracy of parallax correction is improved, and the parallax image with completely-protected boundary information, natural structure and high accuracy.

The invention discloses an enterprise credit rating method. The enterprise credit rating method comprises steps that 1, capability index weight is quantized, and comprises an industry development index, a core team quality index, standard performance and risk, a competence scale, a debt paying capability, a profitability, an operation capability, a growth capability, a technology and innovation capability, and a market and channel index; 2, detail index weight is quantized; 3, every capability and every detail index of an enterprise are scored; 4, products of all of the capability index weights and the corresponding index scores are accumulated to acquire a capability index total score, the products of all of the detail index weights and the corresponding index scores are accumulated to acquire a detail index total score, and the enterprise credit score = the capability index total score + the detail index total score. Non-financial index descriptive languages are converted into the scores, and by adopting a quantitative researching method, all of the indexes are brought into a unified evaluation standard. A final middle and small-sized enterprise credit rating model is used to provide a rating method capable of minimizing subjective judgement, and the objective and fair credit evaluation of the enterprises is carried out by adopting the above mentioned thought.

The embodiment of the invention discloses an electronic device performance test method and device. The method includes the steps of obtaining a test starting instruction, responding to the test starting instruction, and individually testing items to the tested. The items to be tested at least include virtual machine performance and video playing performance. The step of individually testing the items to be tested includes the procedures of testing the virtual machine performance so as to obtain a first execution result, determining a first test result corresponding to the virtual machine performance according to the first execution result, testing the video playing performance after the first execution result is obtained so as to obtain a second execution result, and determining a second test result corresponding to the video playing performance according to the second execution result. Visibly, in the scheme, test accuracy for electronic device performance can be improved through a reasonable item test sequence; in addition, in the scheme, the multiple items of an electronic device can be tested, and therefore performance of the electronic device can be truly and comprehensively reflected.

The invention relates to a logistics management system, comprising a server, wherein a basic information management module, a purchasing and sales management module, a shipping list management module, a depot management module, a financial management module, a vehicle management module, an information management module, and a park management module are arranged in the server. The invention has the beneficial effects of providing a logistics management system that is simple in operation, diverse in function, and high in efficiency.

The invention relates to a commerce efficiency comprehensive evaluation method based on a small-wave network method. The method comprises the following steps that 1) an efficiency item comprehensive evaluation index system is established; 2) each item index value of the comprehensive evaluation index system is computed; 3) the best weight of each index is determined with the small-wave network method; 4) comprehensive evaluation values of alternative schemes are computed, and the best scheme is output. Network parameters wij, rj, bj and aj are computed in an iterative mode with the small-wave network method, and accordingly the parameter value which is closest to the expert score of each training scheme is found, finally, the comprehensive evaluation results of the efficiency schemes are obtained, different characteristics of different schemes are integrated, advantages and disadvantages of the schemes are measured comprehensively, quantitative evaluation results are obtained, and therefore an item decision maker can directly compare the overall advantages and disadvantages of the schemes and select the efficiency schemes. The small-wave network method is used in commerce efficiency comprehensive evaluation, computing errors are small, and convergence speed is high.

The invention relates to an abnormal data response method, system and device, computer equipment and a storage medium. According to the invention, when the intelligent gateway is utilized to detect entry of abnormal data, log data representing network security state information sent by a plurality of pieces of network security equipment connected with the intelligent gateway is acquired, feature information including the current network security state is generated through the log data, and then, the feature information is sent to a security management center; the security management center determines the security situation of the current network according to the feature information; a corresponding security policy is generated and sent to the intelligent gateway; the intelligent gateway responds to the security policy and processes the abnormal data; compared with a traditional method that abnormal data can only be processed through fixed filtering conditions, the method senses the abnormal data through the intelligent gateway and can process the abnormal data according to the security policy sent by the security management center, the effect of more comprehensively responding to the abnormal data is achieved, and the security of abnormal data processing is improved.

The embodiment of the invention discloses a service monitoring method and device based on an interface testing tool. The method comprises the following steps: aiming at a certain target server needing to be monitored for a target service, by virtue of target identifier information of the target server, testing the target server by adopting an interface testing tool on a monitoring server if network communication between the target server and the monitoring server is judged, generating a test log, and adding test results recorded in the test log into a monitoring log. Since the interface testing tool corresponding to the target service can simulate terminal equipment to transmit the information to the target server, and the interface testing tool operates on the monitoring server, so that the problems of the server can be comprehensively reflected in time under the condition that extra client is not occupied. Furthermore, the operating state of the target server is recorded by the monitoring log, and thus the operating state of the server is conveniently extracted and analyzed in time.

The invention discloses an electric flocculation wastewater treatment electrode which comprises a tubular cathode and a rod-shaped or tubular anode, wherein a tubular cavity is formed inside the cathode; the anode is supported in the center of the tubular cavity of the cathode by a plurality of support frames; each support frame comprises an annular body and multiple supporting ribs; the anode penetrates through an annular ring formed by the annular body; and each supporting rib comes into contact with an inner wall surface of a cathode tube, and multiple water flow channels through which water flow can form vortex are formed between each supporting rib and the inner wall surface of the cathode tube. As an electrode of a sewage treatment device is directly made into a tube form, sewage can directly flow in the tubular cavity, and the sewage is electrolyzed while flowing; and moreover, by the water flow channels in the support frames, the water flowing through the channels forms vortex, so that liquid medicine is well mixed, the dissolubility is higher, and the treatment effect is better. In addition, a leakage-proof rubber tube seal is arranged outside the cathode, a closed reaction space is formed, the generated harmful gases do not escape, control is simple, and the reaction is complete.

The invention provides methods and devices for training a voice recognition model and recognizing voice. The method for training the voice recognition model comprises the following steps of acquiringa plurality of basic voice messages; expanding the basic voice messages based on noise voice information under various environments and / or in-vehicle impact response information corresponding to different types of vehicles to obtain sample voice information; training the voice recognition model based on the sample voice information and an actual voice recognition result corresponding to the samplevoice information, wherein the voice recognition model is used for carrying out voice recognition on voice to be recognized. By means of the methods and devices in the embodiment, the voice recognition model can be higher in generalization capability, the accuracy of the voice recognition model is improved, and then the accuracy of voice recognition is improved.

A novel Chinese stewing pot device comprises a stewing pot body. The stewing pot body comprises a drum body at the upper portion and a pot bottom connected with the bottom of the drum body, an upper interlayer and a lower interlayer are arranged in the drum body and the pot bottom respectively, an upper interlayer cover is arranged in the upper interlayer, a lower interlayer cover is arranged in the lower interlayer, and steam pipelines are arranged in the upper interlayer cover and the lower interlayer cover. An upper circulating port is formed in the upper portion of the drum body, a stewing tray support is arranged on the inner side of the bottom of the drum body in the annular direction, and a plurality of layers of stewing trays are arranged on the stewing tray support. Stacked-up stewing tray frames form a drum shape from top to bottom, namely a stewing tray vertical drum. The stewing tray support seals the position between the bottom of the outer wall of the stewing tray vertical drum and the bottom of the inner wall of the drum body, and an annular cavity with the upper side open is formed by the outer wall of the stewing tray vertical drum, the inner wall of the drum body and the stewing tray support located at the bottom. The novel Chinese stewing pot device can ensure that materials stewed and boiled in the drum body are heated uniformly and the cooking degree and taste of the stewed and boiled materials are identical, control stewing temperature and progress accurately, and utilize internal space to increase the processing amount to the maximum extent.

The invention provides an equipment monitoring analysis method and device, a server and a storage medium, which relate to the technical field of data processing. The equipment working state monitoringmethod comprises the following steps of acquiring industrial data of to-be-monitored production equipment acquired by various types of sensors, and analyzing the industrial data to obtain a monitoring analysis result of the to-be-monitored production equipment. When the server obtains the monitoring analysis result of the production equipment, the industrial data is collected by various types ofsensors, the information contained in the industrial data is more comprehensive, and the monitoring analysis result obtained by summarizing and analyzing based on the industrial data can comprehensively and accurately reflect the working state of the production equipment.

The invention discloses an intelligent English pronunciation self-service learning system. The intelligent English pronunciation self-service learning system comprises a standard data module, a data selecting module, a data collecting module, a data storing module, a data analyzing module, a data exporting module and an intensifying module. The data selecting module carries out multi-level database classification, a user selects the corresponding classification database according to the demand, and the system automatically retrieves the English data of the corresponding stage, field and complexity; the collected voice data is stored in the data storing module, and the data analyzing module carries out voice recognition on the collected voice data, and carries out comparison feedback with standard voice data; the data exporting module carries out pronunciation error correction according to the analysis result, and broadcasts the standard English pronunciation data; and the intensifying module retrieves the relevant words in the database, so that the user can carry out intensive training. With the system, the user can carry out the self-service English pronunciation practice, and meanwhile, error correcting and intensive training can be carried out, so that the pronunciation level is obviously improved.

The invention relates to an electromagnetic signal open set identification method, belongs to the technical field of signal processing, and solves the problems of low discrimination accuracy and poorperformance of an existing open set identification method. The method comprises the following steps: acquiring an electromagnetic signal sample set and the category of each electromagnetic signal sample;dividing the electromagnetic signal sample set into a training set and a test set;training the convolutional neural network by using the training set, and evaluating the trained convolutional neural network by using the test set to obtain an optimal convolutional neural network; constructing a characteristic parameter weibull distribution model according to the optimal convolutional neural network; and carrying out open set identification on the unknown electromagnetic signal by utilizing the optimal convolutional neural network, and judging the accuracy of an identification result according to the constructed characteristic parameter weibull distribution model. The method effectively improves the accuracy of electromagnetic signal open set recognition.