35results about How to "Reduce data processing workload" patented technology

The invention discloses a data storage and query method for compound fields. The method comprises the following steps of: 1, data storage: storing multiple data in a data table meeting requirements of the third normal form, wherein all storage recordings comprise field names, specific values and serial numbers of major keys; when the compound fields are stored, adding attributes of query quantityfields and the compound fields, related to the serial numbers of the major keys; 2, data query: when the compound fields are queried, for every storage recording, firstly reading query quantity n in the query quantity fields; in the query process, counting the name information quantity m of fields meeting query requirements, and completing the query process of one storage recording when m is not less than n; and then, continuing to perform query till all data tables are queried. The storage and query method has the advantages of reasonable design, convenience for storage and query, small dataprocessing quantity and high query efficiency; and by the adoption of the storage and query method, the problems of low query efficiency, long query time, low search speed, low search efficiency and the like, existing in compound field query, can be solved.

The invention discloses a transformer test data measurement system and a method thereof based on a wireless network. The system comprises a monitoring center, a data acquisition center and a data transfer center; the monitoring center comprises a monitoring center computer, the data acquisition center comprises a plurality of data acquisition controllers and a plurality of special measurement devices, and the data transfer center comprises a Zigbee center wireless module and a Zigbee terminal wireless module; command and data are transferred between the monitoring center and the data acquisition center through the data transfer center; the special measurement devices are used for marking a corresponding actual position at a measurement position selected by the data acquisition controller so as to measure a target sample, transmitting back data through interfaces of the special measurement devices to the data acquisition controller after obtaining a measurement result, and receiving measurement result data; data is processed by the data acquisition controller after obtaining the data, and position information and the measurement result are stored; and then, selection of a next group of measurement positions and measurement operations are sequentially executed, until all the positions are measured.

The invention discloses a method for storing and inquiring range data, which comprises the following steps of: 1, data storage: storing a plurality of data into a data table built in a storage device, storing the range data in a single-field storage manner, and correspondingly building a bound range data identification library, an error range data identification library and a region range data identification library; and 2, data inquiry comprising the following procedures of: inputting an inquiring keyword, analyzing and judging the inquiring keyword and inquiring the range data. The invention has the advantages of reasonable design, convenience for data storage and inquiry, and small data processing workload; meanwhile, the method for storing and inquiring the range data accords with the ordinary data storage and inquiry habit of people, visually embodies the link among the data, and can effectively solve the defects that the traditional method for storing and inquiring the range data does not accord with the daily data storage habit of people, is large in data processing workload, difficult to change, inconvenient for inquiry and the like.

The invention discloses a travel mode identification method based on big data machine learning, which comprises the following steps: extracting a training sample investigation object and dispatching an acceleration detection device; Collecting mobile phone signaling data and acceleration detection device data; Analyzing the data fluctuation characteristics, getting the velocity and acceleration fluctuation characteristic data as the forecast input value, travel mode as the output value; extracting 80% of that data from the input parameter set as the input data set, and adopting the corresponding travel mode set as the output set to train the machine learning algorithm, and the prediction accuracy of each algorithm is detected with the remaining 20% of the data; Machine algorithm training achieves more than 80% prediction accuracy, can be used to divide the travel mode, setting the input data set as the velocity acceleration characteristic data set, the algorithm output value is the travel mode. The travel mode identification method of the invention has the characteristics of small workload and high identification accuracy.

The invention discloses an unmanned aerial vehicle video augmented reality implementation method based on a photogrammetry technology and a 3D GIS technology. The method mainly comprises the steps ofvideo frame extraction, camera calibration, aerial triangulation reconstruction, 3D GIS virtual scene establishment, sequence frame image rendering, video synthesis and the like. According to the invention, the POS data of the unmanned aerial vehicle are utilized; the accurate camera track and attitude are recovered by using a space three-adjustment method; A three-dimensional geographic scene isestablished in a 3D GIS system; The method comprises the steps of acquiring a video image, superposing various types of vector data, importing a three-dimensional model, adding a custom character label and a graphic label, realizing a blanking effect by importing a digital surface model, then acquiring a rendered image with the same visual angle as the original video frame by frame, superposing the rendered image with the original video frame by frame, and acquiring a video result containing rich information. According to the method, the processing efficiency and effect are improved, the automation degree can be greatly improved in repeated line inspection application of linear engineering, and an efficient and real technical means is provided for scheme display and on-site inspection.

The invention provides an intelligent partial discharge inspection robot. The intelligent partial discharge inspection robot comprises a partial discharge inspection robot, an orbit and a back-stage host computer, wherein a partial discharge detection assembly, a controller and a data collector are arranged on the partial discharge inspection robot; the back-stage host computer communicates with the partial discharge inspection robot through electric carrier waves; the back-stage host computer is used for issuing an inspection command to the inspection robot so that the controller is used forcontrolling the inspection robot to move to an inspection point; the partial discharge detection assembly is used for collecting partial discharge data; a central processor is used for processing thepartial discharge data and storing the processed data into a memory; the partial discharge data are fed back to the back-stage host computer; and after the partial discharge data are completely received by the back-stage host computer, the inspection robot is controlled to move to a next inspection point. The intelligent partial discharge inspection robot provided by the invention solves the problems that the detection cost of online partial discharge is high, the safety of portable partial discharge detection staff is not guaranteed and the reference of detection results is not high.

The invention provides a gas chromatography agriculture residue analysis protecting agent, which includes acetone solution containing polyethylene glycol and olive oil, wherein the concentration of polyethylene glycol is 0.5-2.0g/100mL, the concentration of olive oil is 21.25-63.75g/100mL. Wherein the concentration of polyethylene glycol is preferably 1.0g/100mL, the concentration of olive oil is preferably 42.5g/100mL; the provided gas chromatography agriculture residue analysis protecting agent has simple preparation, and has good solubility in acetone solution which overcomes bad eater solubility of other protecting agents, and avoids to bring water into gas chromatography (GC) system when introducing sample, which makes bad effect for system, especially for chromatography column. At the same time the product can improve the peak form and intensity of the detecting material and reduce detectability well for realizing multi-residue high-sensitivity analysis.

The invention provides an optimizing design method of a three-roller guiding device connecting rod mechanism. The method is characterized in that the maximum value and the minimum value of opening degree of three guiding rollers, the diameter of the guiding rollers and the travel of a hydraulic cylinder I are used as known conditions, the hinged point position of a rocking bar and the rocking arm length of the guiding rollers are determined according to the principle that the trajectory of the guiding rollers tends to be symmetrical around the rolling center, a hydraulic cylinder II that a piston rod completely penetrates through is regarded as a connecting rod, and the crank hinged point position of the mechanism and the sizes of all the rod pieces are regarded as design variables, so that the travel of the hydraulic cylinder I and the opening degree of the guiding rollers tend to a linear relationship, the operation of tending the inscribed circle center position of the guiding rollers to the rolling center is regarded as an optimizing target, the satisfied condition of the normal working and the good transmission characteristic of the connection rod mechanism are used as a constraint condition, an optimizing design math model is built, a virtual prototype model is built through ADAMS(Automatic Dynamic Analysis of Mechanical Systems), and a main object method is used for completing optimizing and solving, the working performance simulation testing is conducted on the optimized mechanism, and the mechanism parameters are finally determined.

The invention relates to a stress curve clustering method for building fiber grating stress sensors. The method comprises the following steps: acquiring daily load data of a plurality of building stress sensors; preprocessing the daily load data of each building stress sensor to obtain initial cluster data; performing dimension reduction processing on the initial cluster data to obtain dimension-reduced cluster data, clustering the dimension-reduced cluster data based on an inverse neighbor density estimation clustering algorithm to obtain a sensor group with similar characteristics, and in the inverse neighbor density estimation clustering algorithm, a sample distance calculation method is a cosine similarity calculation method, and a sample distance calculation method is a cosine similarity calculation method. Establishing a daily load clustering feature set of the sensor group, establishing an annual model analysis chain, and constructing a building health analysis model; according to the invention, the stress data of the fiber bragg grating building stress sensor with huge data volume is clustered into a sensor group with similar characteristics, so that the stress change trend of key structures of different types of buildings can be better predicted, and a more reliable method is provided for safety monitoring of smart buildings.

The invention discloses a universal data flow analysis method and system, and the method comprises the steps: configuring a data flow analysis rule to form an analysis table, the analysis table comprises a plurality of configuration objects, and each configuration object comprises a configuration name, an identification code and a parameter configuration table; receiving a to-be-analyzed data stream; searching a parameter configuration table corresponding to the to-be-analyzed data stream in the analysis table; and analyzing each field in the to-be-analyzed data stream according to an analysis rule in the parameter configuration table to obtain an analysis result. According to the universal data flow analysis method, data is subjected to one-time batch configuration, the original configuration workload is greatly simplified, analysis processing of various types of data flows in the field of measurement, operation and control can be met, and by means of the analysis and parameter configuration method, different function requirements are referred to. The analysis processing problem of all data streams can be expanded, the data processing work amount is greatly shortened, and the data analysis efficiency is improved.

The invention belongs to the technical field of anchoring detection, and particularly discloses an anchoring critical value detection method and system based on machine learning and a storage medium, and the method comprises the steps: combining an existing standard test and existing data of an anchoring critical value for training, obtaining a training model, and collecting state data of a pre-stress to-be-detected piece; preprocessing related state data according to inherent attribute parameters of a pre-stress to-be-detected piece, carrying out iterative fitting on the preprocessed data, determining an optimal fitting order, generating a self-adaptive empirical range according to training data, capturing a characteristic mutation point of a fitting graph, and reversely solving an initial solution of a stress critical value; and determining an optimal solution in the critical value initial solutions in combination with an anchoring physical process. According to the technical scheme, the method is used for detecting the anchoring critical value of the pre-stress to-be-detected piece.

The invention relates to a driver state monitoring system based on physiological information. The system comprises a physiological information acquisition unit, a background monitoring center and a vehicle-mounted intelligent box installed on a driving vehicle. The physiological information acquisition unit comprises a heart rate wristband for detecting heart rate data of a driver and a heart ratecoefficient acquisition device for detecting ECG data of a driver; the heart rate wristband is directly connected with the background monitoring center; the heart rate coefficient acquisition deviceis connected with the background monitoring center through the vehicle-mounted intelligent box; and the background monitoring center carries out analysis based on the collected heart rate data and a heart rate variable coefficient to obtain current driver state information. Compared with the prior art, the driver state monitoring system has the following advantages: the heart rate wristband and the heart rate coefficient acquisition device are used for directly acquiring the physiological information of the driver and statistical analysis is carried out based on the physiological information,so that the driving state is reliably monitored in real time on the premise that the construction cost of the monitoring system is lowered and the data processing workload is reduced.

The invention provides a bus promotion data promotion result determination method and device, and a server, and aims to provide a new bus promotion data promotion result determination mode, thus morecompletely obtaining the bus promotion data promotion result, and obtaining the bus promotion data promotion result with higher precision. The method comprises the steps that a server determines a busstation of a conversion result of bus promotion data to be determined; the server acquires query behavior data corresponding to the bus station; the server traverses the initiator ID corresponding tothe query behavior data, and determines a plurality of UEs initiating the query behavior; the server obtains first order data corresponding to the promotion content of the bus promotion data, and thefirst order data is used for indicating order behaviors initiated through different promotion channels corresponding to the promotion content; the server screens out second order data corresponding to the bus station from the first order data; and the server determines a promotion result of the bus promotion data according to the plurality of UEs and the second order data.

The invention relates to a battery pack electric quantity management system and method. The system comprises a battery pack and a server, wherein a battery cell, a charging and discharging circuit, anelectric quantity measuring circuit, a controller, a first interface circuit and a second interface circuit are arranged in the battery pack; wherein the charging and discharging circuit is connectedwith the battery cell and the controller and is used for receiving a control instruction of the controller to switch the battery cell into a charging state or a discharging state; the charging and discharging circuit is connected with the server through the first interface circuit, and supplies power to the server through the first interface circuit when the charging and discharging circuit is ina discharging state or charges the battery cell when the charging and discharging circuit is in a charging state. The electric quantity measuring circuit is connected with the battery cell and acquires electric quantity data of the battery cell to generate corresponding electric quantity communication data; the controller is connected with the electric quantity measuring circuit and acquires electric quantity communication data from the electric quantity measuring circuit; the controller is connected with the server through the second interface circuit and sends electric quantity communication data to the server when receiving an electric quantity request instruction of the server. By implementing the invention, the data processing workload of the server can be reduced.

The invention discloses a product management system based on the Internet of Things and a data acquisition method thereof. The system comprises a server, a gateway and a plurality of acquisition devices arranged in a distributed mode. Each acquisition device is provided with a power supply, a CPU, a temperature and humidity acquisition module, a code scanning module and a communication module; the temperature and humidity acquisition modules are used for acquiring temperature and humidity data; the code scanning modules are used for collecting code scanning data of a product; the communication modules are used for sending the collected temperature and humidity data and the code scanning data to the gateway; the gateway is connected with the acquisition devices and is used for converging the received data and sending the data to the server; and the server is in communication connection with the gateway and is used for receiving the aggregated data sent by the gateway and recording and analyzing the aggregated data. The system is high in integration level, and the cost is reduced; the full-automatic operation is achieved, adaptability is high, and the system can adapt to complex and severe working environments; the networking is flexible, and the system can adapt to factories of different scales.

The invention discloses an intelligent automatic road information extraction method and relates to the field of informatization. The method comprises the following steps of road point cloud data organization and extraction, road center line extraction and road vector marked line extraction. The method is advantaged in that the road marking position can be quickly and accurately obtained through a fuzzy positioning clustering extraction method; finally, the electronic vector marking line is formed. The method can be widely applied to the fields of high-precision map making, smart roads, cities, traffic planning and design and the like, and can effectively assist smart city construction and management for a long time.