132results about How to "Good data base" patented technology

The invention provides a security patrol system. The security patrol system comprises a plurality of near field communication tags, a point inspection terminal and a patrol server, wherein the near field communication tags are respectively arranged on patrolled objects in a patrol range, and each near field communication tag is preconfigured with object information of patrolled object according to the type of the patrolled object; the point inspection terminal is integrated with a near field communication tag reading device and is configured to move in the patrol range, read the object information of the patrolled objects in the positions by virtue of the near field communication tag reading device, acquire state information of the patrolled objects, pack the object information and state information into point inspection data and upload the point inspection data; the patrol server is in data connection with the point inspection terminal and is configured to acquire and analyze the point inspection data uploaded by the point inspection terminal and update patrol records of the patrolled objects according to the type of the patrolled objects. Therefore, good data foundation is provided for equipment management, security defense and efficient office.

The invention provides a traffic prediction method and device, a storage medium and a terminal. The method comprises the steps that real-time traffic data in a preset area are acquired; a prediction formula is determined based on the type of the real-time traffic data and the historical traffic change of the preset area; according to the prediction formula and the real-time traffic data, the traffic of the preset area in a specific time period in the future is predicted. According to the invention, the traffic of the preset area in any time period in the future can be accurately predicted; andfor different types of accessed real-time traffic data, different types of traffic prediction results can be flexibly acquired.

The invention relates to a non-contact physical fitness testing system and testing method based on a depth image. The system is formed by a physical fitness testing control module, a sit-up testing module, a push-up testing module, a voice recognition module, and a test feedback module. The depth image is obtained through using a Kinect somatosensory interactive device, a finite state machine framework is used to count the motion of a tested human body, a voice recognition algorithm is used to automatically start or end a physical fitness test, and a related test result is fed to a user at the same time. According to the system and the method, the capture and recognition of the depth image are fused, the limb information of the user is obtained under the premise that the limb of the user does not carry any apparatus, and the precise exercise test counting is carried out. In addition, the system can record automatically according to the matching of a user voice signal, other human intervention is not needed in a detection process, at the same time the related test result can be fed to the user according to detection data, the user can achieve the maximum physical potential of the user, the exercise efficiency and effect are improved, and a self monitoring platform is provided for non-professional sports players.

The invention provides a trend load flow calculating method based on online status estimation and real-time scheduling plans. The method comprises the following steps of determining future trend operating mode data of a power grid; performing rationality identification and automatic adjustment on real-time scheduling plans; establishing a multi-section active power control model to perform automatic fine-tuning generation active power control; performing reactive power voltage local control, and distributing reactive power unbalance of hub nodes; performing load flow calculation to generate load flow calculation data used for power grid future trend dynamic safety assessment. The trend load flow calculating method based on online status estimation and real-time scheduling plans solves the problem that traditional online dynamic safety assessment algorithms cannot effectively analysis future power grid short safety and stability within a short time, and by analyzing further power grid safety change trend in advance, assists scheduling personnel to arrange and adjust current operating manners.

The invention relates to an interface friction property monitoring-based rolling-sliding friction life cycle test device. A high-speed electric spindle on a support lifting platform is connected with a torque sensor; one end of the torque sensor is connected with an exchangeable rolling body in a measured object; two ends of the rolling body are provided with rolling bearings; the rolling bearings area arranged in a vertical guide rail; a pressing plate is arranged above the rolling bearings; a groove for accommodating a ball is arranged on the upper surface of the pressing plate; the upper part of the ball contacts with the fulcrum plane of a pressing rod; a lever is arranged on an upright column; the tail end of the lever is connected with the nut of a sensor on a support through a steel wire rope; one end of the support is provided with a low-speed motorized spindle; and the front end of the low-speed motorized spindle is equipped with the bearing inner ring of the measured object. With the test device of the invention adopted, the actual working condition of each roller and a bearing inner ring in the operation process of a cylindrical roller bearing can be simulated; the cause of abrasion caused by the change of interface contact is obtained; and a reliable data guarantee and technical support can be provided for the life cycle health condition monitoring and condition-based repair of the key friction pair of a rolling bearing.

The invention discloses a residual amplitude compensating method based on an AVO. The method comprises the steps of performing pre-stacking on a CRP gather, calculating parameters, calculating the amplitude of each time window in sliding time windows, calculating time-varying amplitude attenuation curve of signals of (2j+1) ways in the CRP gather, giving a certain way interval increment, judging whether the increment is within the offset distance range or not, if the increment is within the offset distance range, repeatedly executing the step (c), if the increment is not within the offset distance range, executing the next step (e), calculating space-varying amplitude attenuation curves in the different offset distances, obtaining the processed gather amplitude, getting the corresponding incident angle and the corresponding amplitude value of the offset distance, utilizing least square fit for getting coefficients R, W and V, redefining the relation between the offset distance and the amplitude, and compensating and correcting a target way. Excluding fitting is performed on remoulded seismic data, the precise real amplitude effective signals are obtained, and therefore it is ensured that the relation of the pre-stacked data amplitude along with geophone offset changes is obtained, and good foundation is established for subsequent pre-stacking AVO attribute extraction and AVO inversion.

The invention discloses a prediction method, a device and a processor for electricity consumption. The method comprises the steps of according to a preset prediction model, adopting historical direct supply electricity consumption data corresponding to a known electricity consumption collecting period, or the historical managing area electricity consumption data in a preset time period before the known electricity consumption collecting period, and / or the historical national electricity consumption data for prediction, acquiring the managing area electricity consumption data of each known electricity consumption collecting period and / or the prediction result of the national electricity consumption data, and acquiring the average relative error corresponding to the prediction result; then determining a calibration prediction model corresponding to the known electricity consumption collecting period according to the average relative error; finally selecting the calibration prediction model corresponding to the electricity consumption collecting period to be predicted, and acquiring the managing area electricity consumption data corresponding to the electricity consumption collecting period to be predicted and / or the prediction value of the whole social electricity consumption data by the calibration prediction model. By the method, the national electricity consumption and the managing area electricity consumption can be predicted after the direct supply electricity consumption is obtained.

The invention provides a method and a device for online evaluation of a converter valve state based on grey clustering. The method comprises: acquiring online monitoring data of a converter valve in apreset time period; establishing a state evaluation indicator matrix of the converter valve according to online monitoring data, and calculating a score value of each evaluation parameter class in the state evaluation indicator matrix according to the online monitoring data; respectively constructing a whitening weight function corresponding to each preset gray class according to at least three preset grey classes; according to a preset weight value of each evaluation parameter class and the whitening weight function of the score value of each evaluation parameter class, using a grey clustering algorithm to respectively calculate a clustering weight value of each preset grey class; and evaluating an operating state of the converter valve according to the each clustering weight value. By implementing the method, real-time evaluation of the operating state of the converter valve is realized without manual operation, accuracy of an evaluation result is improved, and potential risk prediction of the converter valve is realized, and provides good data basis for planned maintenance of the converter valve.

The invention provides a terminal information processing method and apparatus for a security inspection system. The method herein includes the following steps: acquiring preset inspection region information of the security inspection system; in accordance with the preset region distribution rules, dividing the inspection region into a plurality of inspection ranges; based on the information of to-be-inspected targets within the inspection ranges and the geological information of the inspection ranges, generating an inspection command which includes inspection authority within the corresponding inspection range and an inspection route; and in accordance with preset task assigning rules, separately transmitting the inspection commands of the plurality of inspection ranges to a plurality of point detection terminals so as to enable the point detection terminals to conduct inspection in accordance with the inspection routes within the corresponding inspection authority. The method herein can automatically generate and allocate inspection tasks, greatly increases inspection efficiency and reliability, and better meets the requirements for safe production and zero risk hazard.

The invention relates to a monitoring type radio data storage method. The method comprises the following steps: a first processing device is used for connection with a spherical camera for receiving afull-angle image, the full-range image is averagely segmented into blocks in sizes of corresponding blocks on the basis of the distance from the average brightness of the full-range image to a presetbrightness scope center value, for each block, based on a pixel value variance of the block, corresponding affine transformations with different strengths are selected so that affine transformation blocks are obtained, and the obtained affine transformation blocks are spliced so that an affine processed image is obtained.

The invention discloses a method and a system for processing data opened by a user. The system comprises a detection unit, an authority determination unit, a target user data acquisition unit, a display item determination unit, a display unit and an join-group judgment unit, wherein the detection unit is used for performing integrity detection on the data opened by the current user; the authority determination unit is used for determining the data acquisition authority level of the current user; the target user data acquisition unit is used for acquiring the data opened by the target user or user group; the display item determination unit is used for determining a displayable item in the data opened by the target user or user group; the display unit is used for displaying the data corresponding to the item in the data opened by the target user or user group; and the join-group judgment unit is used for determining whether the current user is allowed to be joined according to the data acquisition authority level of the current user when receiving a request of the current user for applying for joining in the target user group. The method and the system are beneficial to guiding the user to perfect the user data of the user, and furthermore, a good data foundation is provided for realizing related functions of instant messaging.

The invention provides a power transmission line parameter identification method and system. The method comprises the following steps: reading a double-ended wave recording file of a faulty line, andobtaining double-ended electrical quantity information of the faulty line; carrying out time synchronization on the double-ended electrical quantity information of the faulty line; and carrying out line parameter identification according to the synchronized double-ended electrical quantity information of the faulty line, so that a reactance identification value is obtained. By virtue of the technical scheme provided by the invention, power transmission line steady state parameter identification based on fault wave recording data is realized, and synchronization alignment treatment is carried out on the fault wave recording data, so that non-synchronous time of the double-ended wave recording file is shortened, a new means and a good data foundation are provided for accurately identifying power grid branch circuit parameters of a dispatching master station, power grid branch circuit steady state impedance parameter identification accuracy is practically improved, and further the accuracy and availability of a power grid online dispatching analysis software result are improved.

The invention belongs to the infrared image processing field and relates to a ship target long wave infrared image enhancement method under the water surface background. The method comprises steps that (S1), an infrared polarization image of the target scene is acquired and preprocessed; (S2), Stokes polarization state solution of the preprocessed image in the (S1) is carried out; (S3), a polarization degree image and a polarization angle image of the target scene are calculated according to the Stokes polarization state solution result; (S4), normalization processing of the polarization degree image and an infrared intensity image is carried out; (S5), inversion operation of the normalized polarization degree image is carried out; and (S6), product operation among pixels is carried out for the polarization degree image after inversion operation of the (S5) and the infrared intensity image after normalization processing of the (S4) is carried out to acquire a fused image. The method isadvantaged in that a problem of solar flare interference during ship target detection under the complex water surface background, a weak target enhancement problem and an infrared radiation energy attenuation problem during long-range detection are solved.

The invention relates to a method for measuring urban space function compactness. The method comprises the steps of S1, obtaining interest point data, night light data and road network data of a to-be-measured city; S2, determining the urban core area of the to-be-detected city according to the distribution density of the acquired interest point data in the to-be-detected city; S3, dividing the urban core area into a plurality of land parcels according to the road network data; S4, determining the type of each land parcel according to the interest point data, and determining the human activityintensity of each land parcel according to the night light data; and S5, determining the space function compactness of the to-be-detected city according to the types of all land parcels in the city core area of the to-be-detected city and the human activity intensity. According to the method, the dimension which cannot be expressed by the urban form compactness can be reflected, the reasonabilityof urban layout is evaluated functionally, and a new view angle is provided for urban compactness measurement.

The invention discloses a sea clutter suppression method for an all-solid-state VTS radar. The sea clutter suppression method comprises the steps of: performing sea clutter suppression preprocessing on a radar echo signal; utilizing radar data processing control parameters to perform data processing on the radar echo signal after sea clutter suppression preprocessing, so as to obtain sample data of sea clutter; performing data mapping processing on the sample data of the sea clutter to obtain sea clutter data; utilizing the sea clutter data to perform sea clutter suppression processing on theradar echo signal after sea clutter suppression preprocessing; and performing interframe accumulation interpretation on the radar echo signal after sea clutter suppression processing to obtain targetecho information after sea clutter suppression processing. The sea clutter suppression method solves the problem of low precision of target signal detection, improves the precision of target parameterjudgment, reduces the risk that the sea clutter is misjudged to be the target, and provides a reliable data foundation for subsequent target extraction.

The invention aims at providing a method and equipment for determining reginal position information of user behaviors. Compared with the prior art, linkage information about linkage between wireless access points and a user device is obtained, wherein the linkage information includes linkage time when the user device is linked with the wireless access points and position information of the wireless access points; then, on the basis of the linkage time, clustering treatment is carried out on the wireless access points to determine a behavior clustering cluster, wherein the behavior clustering cluster corresponds to a behavior region of a user; furthermore, according to the position information of the wireless access points in the behavior clustering cluster, the position information of a behavior region corresponding to the behavior clustering cluster is determined. In this way, the position information of the behavior region of the user can be more accurately determined, and thereforebetter data foundation can be offered to follow-up applications.

The invention belongs to the technical field of big data management and application, and discloses a water, electricity, gas and heat comprehensive data exception analysis method and system, a storagemedium and a terminal. Energy consumption load prediction, loss monitoring analysis, key area or customer optimal energy consumption analysis and comprehensive energy consumption analysis and strategy are carried out; the energy consumption habits of customers are portrayed in combination with the electricity consumption, the water consumption and the air consumption of the users, the customers are classified and graded according to the portraits of the users, energy consumption load prediction and loss monitoring analysis are carried out on the customers in key areas, and the purpose of refined loss management is achieved while the service efficiency of an energy supply enterprise is improved. An energy consumption client carries out energy consumption management and control through water, electricity, gas and heat consumption monitoring data and an energy consumption condition analysis report provided by an energy supply enterprise, so that the purposes of energy conservation and consumption reduction of the energy consumption client are achieved; public security and inspection departments discover and stop illegal criminal behaviors in advance and solve potential safety hazardsin advance through users with water, electricity, gas and heat abnormal data provided by energy supply enterprises.

The invention relates to a nine surface element consistency parallel processing method for a time lapse earthquake, comprising steps of using the two sets of earthquake data which are collected at different time in the same zone as reference data and monitoring data, adopting parallel k+1 nodes, wherein the first parallel node is used as a main node, reading an nth CMP gather in the reference data into a main node memory from a storage medium, wherein the corresponding surface element is B(I,j), reading data of three main detection lines in the monitoring data from the storage medium, equally dividing the data into k segments, respectively reading into the memory of the parallel slave nodes, performing parallel searching on the nine surface element data corresponding to the surface element B (I,j) from the nodes, transmitting the searched nine surface element data to a main node, obtaining two blocks of data by the main node, wherein one block of data is nth CMP gather in the reference data, and the other block is the nine surface element data in the monitoring data, and performing extraction on the two blocks of data to obtain the new reference data and the new monitoring data to finish the nine surface element consistency parallel processing.

Disclosed is an RFID-based cage-rearing breeding bird individual egg-producing recording system, for solving the defects of quite a lot of time and labor consumption and proneness to errors due to too many links by use of a conventional manual recording mode under a cage-rearing mode and realizing accurate recording of cage-rearing breeding bird individual egg-producing conditions by means of such technologies of RFID and the like. The method employs an RFID electronic label mode, labels are fixed on cages, one-to-one corresponding relations between label IDs and cage numbers are established, through a portable data acquisition apparatus, IDs of the electronic labels on the cages where egg-producing breeding birds are disposed are read, and ID numbers, event numbers indicating quality states of eggs and time of egg collection are stored. After daily egg-producing records are transmitted and stored in a database of a PC, such management operation of querying, analyzing and the like can be performed on the breeding bird egg-producing records, proper processing can be carried out after abnormal egg-producing conditions of domestic breeding birds are discovered timely, and breeding birds with high egg-producing performance are screened finally. Influences exerted by such external severe environments such dust, dirt and the like on data reading and writing are avoided, labor is saved, and the data is accurate and fast.

The invention relates to a transformer hot spot temperature time sequence prediction method based on a data mining algorithm, and belongs to the technical field of transformers. According to the technical scheme, the method comprises the steps: establishing a local area load prediction model based on support vector regression according to the fact that the characteristic quantity of the transformer hot-spot temperature and the load rate has the maximum correlation, and taking the local area load prediction model as front input of the transformer hot-spot temperature prediction model; predicting the hot spot temperature of the transformer at the next moment by using a support vector regression-based time sequence model with external input. The invention has the beneficial effects that the hot spot temperature of the transformer at the next moment can be accurately predicted, and the method has the advantages of being high in learning speed and good in generalization performance, so theprediction precision of the hot spot temperature of the transformer is improved; the operation efficiency is high, the prediction precision is high, and a good data basis is provided for dynamic capacity increase of the transformer.

The invention relates to a GIS-based power dispatching data graphical display method comprising the following steps: (1) an equipment correspondence table of a GIS platform and an SCADA system is established; (2) the path and interface format for requesting map data and scheduling data are defined; (3) a GIS platform service is called and scheduling data is requested to the SCADA system; (4) a data request is sent to the SCADA system; (5) the SCADA system receives the request; (6) the SCADA system generates a data message; (7) data returned by the SCADA system is received; (8) the SCADA data is analyzed and processed; and (9) the data is positioned and output. According to the method of the invention, the installed file is small, the access path is simple and clear, and the goal of power dispatching data graphical display is achieved by making use of a power grid GIS platform map and a topology service and based on the equipment correspondence of the power grid GIS platform and the power dispatching SCADA system.

The invention discloses an aircraft noise interpolation method based on generic gridding airport perception. The method comprises the following steps: performing gridding interpolation operation on the monitoring area again, and providing accurate standard gridding noise data for the noise monitoring area. According to the method disclosed by the invention, the generic gridding monitoring point noise data are converted into standard gridding noise data in the airport noise monitoring area by virtue of interpolation operation, so that the converted data are easier to store compared with the original data, persistent operation of the noise data can be realized, and a formative data support is provided for in-depth study of airport noise in future.

The embodiment of the invention discloses an image processing method and device, electronic equipment, a storage medium and a computer product, and relates to the technical field of multimedia, games, artificial intelligence and cloud. The method comprises the following steps: acquiring a first data set comprising a plurality of first samples, wherein each first sample comprises a target image and a mask image of the target image; and for each first sample, predicting by calling the trained neural network model to obtain a foreground mask of the target image in the first sample, and constructing a training data set based on the target image in each first sample and the foreground mask of the target image. Based on the method provided by the embodiment of the invention, a richer training data set with a better training effect can be provided for the training of the neural network model.

The invention provides a personal computer using behavior monitoring method and system based on an acoustic communication channel. The personal computer using behavior monitoring method comprises thefollowing steps that 1, audio signals generated when a user operates a keyboard and a mouse are collected; 2, the collected audio signals are subjected to data preprocessing, and an audio signal blockis extracted; 3, feature data of the audio signal block are extracted and subjected to model training; 4, a trainer for model training is tested, and corresponding events are recognized; and 5, according to the recognized corresponding events, the using behavior of a user is analyzed. According to the personal computer using behavior monitoring method and system based on the acoustic communication channel, firstly, classifiers subjected to learning training are supervised, and meanwhile a model migration method is combined, so that the monitoring events are recognized, accordingly, based on event recognition, the great data basis can be provided for analyzing the activity that the user uses a computer, and the purpose of monitoring the personal computer using behavior of the user is achieved.

The invention provides an information processing method based on text data. The method includes obtaining an emotional tendency result of the text data based on the text data and the trained classification model, wherein the emotional tendency result comprises a number of positive emotions or a number of negative emotions; obtaining an economic confidence index of the text data according to the emotional tendency result. According to the method, the system and the computer storage medium of the invention, based on the natural language processing technology and the machine learning method, makeup the inherent defects of the traditional method that the data collection time is long and the cost is high, and provide a good data foundation for the subsequent program.

The application relates to a structured processing method of construction data table data. The method includes: carrying out basic-characteristic marking on unit grids; placing corresponding data value storage IDs in label information of filling-data-type unit grids; generating data description contents for filling-data-type unit grids; processing the unit grids of an entire construction data table to form a storage structure for the data description contents of the construction data table and the corresponding data value storage IDs; saving the generated storage structure, and forming a datadescription structure library; using a construction data table template library, of which structured description is already carried out, at a computer terminal for construction data compilation, and storing data values in the filling-data-type unit grids; and forming the data description structure library and a data content database on a cloud server to complete structured processing on the data of the engineering data table. According to the method, fully structured processing can be carried out on the construction data table, an automation processing rate is high, and data storage is convenient.

The invention belongs to the technical field of automatic control of air conditioners, and discloses an intelligent refrigeration comfortable air conditioner based on deep learning, a user comfortable temperature database establishment module is used for storing user behavior habits, capturing the stored data of the user behavior habits and distributing weights; acquiring environment data and operation data when the air conditioner works; a deep learning model is trained, and the influence coefficient of each influence factor on the air conditioner refrigeration effect is determined; according to the parameters of the influence factors, a three-dimensional heat effect equation of the air conditioner is established, and the temperature field distribution condition of the air conditioner is solved; establishing a deep generation model, and forming the deep generation model of the air conditioner under the deep learning multilayer network according to the basic parameters of the air conditioner; and a depth generation model is selected and pre-trained, the air conditioner cooling schemes obtained through the ambiguity resolution methods and the corresponding simulation result data serve as input of the depth generation model, and a final air conditioner optimized refrigeration scheme is output. The invention provides an optimal refrigeration scheme.

The invention discloses a pressure test method, in particular, the method includes the steps of: user equipment determines a pressure test module requested to be tested by a test request according tothe test request initiated by a user to the user equipment, wherein the pressure test module comprises at least one pressure test item, a test proportion of each pressure test item and a nested loop mode; the user equipment executes the pressure test module according to the test proportion of each pressure test item in the pressure test items and the nested loop mode; operation data of the user equipment is acquired when each pressure test item in the pressure test module is executed; the user equipment displays an alarm corresponding to the abnormal state to the user when the user equipment determines that the abnormal state exists in the pressure test item according to the operation data.