67 results about "Data analysis" patented technology

The invention provides a system of monitoring electromagnetic radiation. The system of monitoring the electromagnetic radiation comprises monitoring nodes, regional nodes and a control center. A monitored object is provided a plurality of monitoring nodes, the plurality of monitoring nodes are stereoscopically arranged surrounding the monitored object, one regional node is in wireless connection with the plurality of monitoring nodes, and the regional nodes are used for uploading multiple environmental index parameters collected by the monitoring nodes to the control center. A plurality of regional nodes are electrically connected with the control center. The invention further provides a method of monitoring the electromagnetic radiation. The method of monitoring the electromagnetic radiation comprises the following steps: correspondingly setting the plurality of vertically distributed monitoring nodes around the monitored object according to the radiation distribution feature of the electromagnetic radiation stereoscopic space range of the monitored object, collecting multiple environmental index parameters at least including electromagnetic radiation signals of the monitored object, and carrying out data analysis and processing to the collected multiple environmental index parameters. The system and the method of monitoring the electromagnetic radiation improve the accuracy and the automation degree of monitoring the electromagnetic radiation.

The invention discloses a telecommunication fraud prevention system and method based on big data and machine learning. The system comprises a mobile terminal, a big data analysis terminal and a fraud interdiction governance terminal, wherein the mobile terminal is used for performing fraud detection determination on current telecommunication data according to predetermined constraint rules when receiving a short message or an incoming call message, a machine learning algorithm is adopted to detect whether the telecommunication data is a telecommunication fraud, and if the detection result is that the telecommunication data is determined as a telecommunication fraud, fraud data information is uploaded to the big data analysis terminal; the big data analysis terminal is used for performing real-time statistics on the fraud data information uploaded and reported from the mobile terminal and sending fraud early-warning information to the fraud interdiction governance terminal according to a bank card account or/and a phone number with the number of received reports exceeding a certain threshold value; and the fraud interdiction governance terminal is used for taking corresponding measures in time to interdict occurrence of a telecommunication fraud event when receiving the fraud early-warning information. The system can unite the mobile terminal, an operator, a public security institution, a bank and other institutions, quick and effective prevention can be realized, and the telecommunication fraud can be cracked down in time.

The invention relates to the technical field of fluid measurement, and provides a flow rate measuring system and a flow rate measuring method for multi-phase fluid. The system comprises a measurement module, a signal amplification module, a data processing module and a terminal module which are connected in turn, wherein the measurement module at least comprises two measurement devices arranged on a pipeline at a certain interval, and the two measurement devices respectively measure the content of the same element passing the sections where the devices are positioned by a nuclear physics method; the signal amplification module is respectively connected with the two measurement devices and amplifies signals acquired by measurement; and the data processing module converts the signals into digital signals first, then performs digital lowpass filtering treatment and quantization treatment on the digital signals, establishes a mathematical model by utilizing a cross-correlation function principle, performs data analysis treatment on the digital signals, and outputs results of a flow and a flow rate to the terminal module. The system and the method reduce the measuring complexity, reduce corresponding errors caused and improve measuring accuracy and reliability.

The invention relates to a tool management method. The method comprises the following steps: S1, the basic data of the tool are inputted to a tool management system; S2, a demand plan for N+3 months is imported from a logistics system, N is a month, demands of the tool in N+3 months are calculated according to different life spans of different products processed by the tool, and purchasing management is carried out; S3, according to an order, receiving management with one code for one thing is carried out on the tools; S4, according to a quality inspection standard, the tools are subjected toquality inspection, a return or concession receipt is generated for the tools with unqualified quality inspection, and returning or concession receiving processing on the tools is completed; S5, inventory management and inventory early warning are carried out on in-stock tools; S6, pre-adjustment management is carried out on the tools; and S7, the life span data of the tools are acquired for dataanalysis, and the life spans of the tools are controlled. Scientific and reasonable tool management can be realized, the making cost can be reduced, the hidden quality dangers can be reduced, and theworking efficiency is enhanced.

The invention discloses a method for implementing an automatic generation tool of a track line database. The method comprises a data preparation period and a data operation period. The method is characterized in that: in the data preparation period, data are analyzed on a server, a data analysis program is operated, and according to a prescribed relational table format of the line database, the analyzed data are organized and then stored in a hard disk of the server; and in the data operation period of an automatic train protection (ATP) system, the data in the hard disk of the server is imported into a FLASH of an industrial control computer, the ATP system is started to read the data of the FLASH into the line database of an internal memory, and the line database can normally work. By adoption of the method, the development efficiency of the ATP system is improved, and the working load of a data entry operator is reduced. Moreover, the automatic generation tool adopts an object-oriented programming language and modular design method, so that the system has high expandability and transportability.

The invention discloses a water pollution online analysis and quick source tracing method used for strengthening supervision of wastewater discharged by enterprises in the industries of printing and dyeing, coking, electroplating, electronic manufacturing, papermaking, pharmacy, metal manufacturing and the like. According to the method, a multi-channel laser Raman online analysis and multi-channelelectrochemical online analysis combined technology is adopted to perform online analysis and monitoring on multiple types of pollutants possibly occurring in a monitored water area, and the online analyzed and monitored water pollution data is analyzed automatically by utilizing a pre-constructed pollution source database, source tracing software and a data analysis platform so as to realize online water pollution source tracing. By adopting measures such as multiple test channels, a wide-electrochemical potential window three-dimensional bismuth film alloy electrode, a modulation asymmetricsquare wave test method, a surface enhanced Raman accessory and the like, the test rate, the detection capability and the monitoring resolution capability of online analyzing and testing various types of pollutants are ensured.

The invention provides a gene data analysis method and a heterogeneous scheduling platform. Assembly line management is performed on tasks to be executed through interaction among a controller, a GPU,an FPGA and a CPU by means of load balancing. The method specifically comprises the following steps: reading and processing a to-be-analyzed gene sequencing file, and storing obtained gene data intoa memory; and reading the gene sequence in the memory and allocating the gene sequence to the processor which is currently in an idle state and/or is not overloaded by combining the load and the running state of the processor by the controller, executing multi-task computational analysis, correcting and converting a computational result, generating an analysis report according to statistics standard output information, and completing data analysis. Load balance is monitored in real time in the analysis process, and if the load for processing the current task is in shortage, computing resourceacceleration processing is improved; correspondingly preposed task computing resources are reduced to reduce input; and the efficiency of analyzing and interpreting the multi-task gene data in unit time is greatly improved.

The invention relates to a spatial resolution calibration device and a spatial resolution calibration method for distributed fiber-optic sensing. The spatial resolution calibration device and the spatial resolution calibration method for the distributed fiber-optic sensing are easy to understand and operate; and the spatial resolution of various distributed fiber-optic sensors is objectively and accurately calibrated, and a reference is provided for the work such as apparatus selection and purchasing, performance evaluation, monitoring design, measurement and data analysis of a technician. The technical scheme is that: the spatial resolution calibration device for a distributed fiber-optic sensing demodulator is characterized by comprising a water bath which is divided into two parts, wherein one side of the water bath is a low-temperature tank, and the other side of the water bath is a high-temperature tank with a heater; a cover plate is arranged on the water bath; and a reel holder is vertically arranged on each of the two sides of a middle partition plate in the water bath. The device and the method are applied to the spatial resolution calibration of modulation apparatuses such as a Raman optical time-domain reflectometer (ROTDR) and a Brillouin optical time-domain analyzer (BOTDA)/Brillouin optical time-domain reflectometer (BOTDR).

The invention provides a sleep system which comprises a control module, a health monitoring module, a health information judgment module and a displaying and alarming module. The control module is used for controlling shape of a mattress and controlling the mattress to heat and vibrate according to signals fed back by the health information judgment module, the health monitoring module is used for monitoring sign information of a user and transmitting the same to the health information judgment module through a wireless network, the health information judgment module is used for storing the sign information of the user in real time and performing data analysis, judgment and evaluation, and the displaying and alarming module is used for receiving signals fed back by the health information judgment module and performing information displaying or acousto-optical alarming prompting. By the sleep system, posture of the mattress can be adjusted or a heating function can be provided according to sleep information and human body health information, and sleep quality of the user is improved greatly.

The invention relates to a device for managing unstructured data. The device comprises a server, a data analysis module, an original data import module, a data base, a matching rule definition module, an analysis module and an adjusting module, wherein the server is connected with a user terminal, a data output end of the server is sequentially connected with the data analysis module and the original data import module, the original data import module is connected with the data base and the matching rule definition module through a pair of data output ports respectively, and the matching rule definition module is sequentially connected with the analysis module and the adjusting module, and a data output port of the analysis module is connected with the data base. Access data of a user can be collected in real time, each datum can be extended by the aid of the matching rule definition module, the analysis module and the adjusting module and is classified and stored in the data base in time, so that the data can be rapidly taken when the server is accessed, the searching for the unstructured data is more rapid, and the range is wider and more accurate.

The invention provides an evidence-based medical result generating method and device and relates to the field of medical treatment. According to the invention, big data analysis is performed based onpatient shared resource so as to acquire a current patient result and then big data analysis is performed based on the current patient result and a prescription shared resource so as to acquire a medical prescription result, so that medical resource data share, operation convenience, high diagnosis correction rate, low time cost and labor cost, high user experience are realized. A doctor can acquire the treatment effect of the medical prescription easily and the doctor can optimize and improve the treatment level according to the treatment effect.

The invention discloses a power grid optimization partitioning method for new energy consumption analysis. The method comprises the following steps: S1, determining a unit sub-region power grid Ui; S2, collecting and making statistics of a new energy historical generated output data sequence and eliminating abnormal data Pre, i(t); S3, calculating accumulated generating capacity Ere, i of all newenergy power stations; S4, collecting historical power load data exceeding Pload, i(t) and removing the abnormal data; S5, calculating accumulated power consumption Eload, i of the power load; S6, calculating matched power generation power Pmatchre, i (t) and matched power utilization power Pmatchload, i(t) at each moment; S7, calculating the total match power generation electric quantity Ematchre,i and the total match power utilization quantity Ematchl, i; S8, calculating a time sequence match degree Kmatch, i; and S9, classifying source-load match degree coefficients Kmatch, i of all unit sub-regions. The optimization method, through long-time statistical data analysis, adopts a key characteristic index of the time sequence match degree to measure the match degree of the generated outputand the power load of the photovoltaic power station on the time sequence, and provides a basic support for formulating planning schemes of site selection and constant volume and the like of distributed photovoltaics.

The present invention discloses a bucketing method, apparatus and device for supporting a quick query of Map-Reduce output. The method comprises: obtaining the number of Reduce tasks, and determining a corresponding hash policy according to the number; according to the hash policy, performing a hash calculation on keys in Map tasks to generate a first integer identifier; and using the first integer identifier as identifiers of the Reduce tasks, and allocating the corresponding Reduce tasks according to the identifiers of the Reduce tasks to perform processing. The bucketing method, apparatus and device for supporting the quick query of the Map-Reduce output provided by embodiments of the present invention can quickly query calculation results corresponding to the keys in the Map tasks, thereby improving data analysis efficiency.

The invention discloses a ship navigation state monitoring and alarming system comprising modules such as a direction finder for determining the real-time direction information of a ship by signal communicating with a beacon station on the shore base; an anemometer for detecting wind speed information of the sea surface during the navigation of the ship; and a water temperature observer for detecting temperature information of seawater under different water depths, wherein the system further comprises an analysis module for receiving data information transmitted by the direction finder, the anemometer, the water temperature observer, the barometer, the Beidou positioning module and the angle acquisition module; the analysis module is provided with a roll angle threshold and a standard parameter in a safe navigation state of the ship; and the data analysis module compares the received data information with the internally stored standard parameters to determine whether the ship is sailing in a safe state, feeds back the state parameters under safe navigation to the shore-based command center if so, otherwise sends an alarm signal, and transmits the alarm signal to the shore-based command center.

The invention relates to a data mining-based sand dust storm data analysis method. A sand dust storm value is assessed by adopting a CART algorithm in a decision tree method, and the influence of factors such as a monthly average air pressure, a monthly average water vapor pressure, monthly minimum relative humidity, a monthly evaporation amount, a monthly precipitation amount and a monthly average wind speed on average sand dust storm is mainly considered. A decision tree model generated by monthly average sand dust storm division is built, a decision tree model generated by seasonal sand dust storm division is also built, and the two models are adopted for predicting the stand dust storm. Compared with other research achievements, the models built in the method have relatively high correct rate in sand dust storm prediction through analysis.

A motion analysis device includes a data analysis section adapted to generate analysis data related to a hit surface of a sporting device using an output of an inertial sensor, and a score analysis section adapted to weight the analysis data from the data analysis section to score the evaluation of a hit direction. The data analysis section generates the analysis data including at least two of a first deviation angle formed at impact between the hit surface and a virtual vertical plane to a hit target direction, a second deviation angle formed between the hit surface at the impact and a virtual vertical plane to a tangential direction at the impact touching a trajectory of the hit surface, and a deviation amount of a hit position at the impact from a virtual reference position set on the hit surface.

The invention provides a wind turbine generator wireless monitoring and early warning system. The wind turbine generator wireless monitoring and early warning system comprises a wireless monitoring device, a wind turbine generator monitoring terminal and a user terminal; the wireless monitoring device is used for collecting wind turbine generator status data and sending the collected wind turbinegenerator status data to the wind turbine generator monitoring terminal; the wind turbine generator monitoring terminal performs data analysis and processing on the wind turbine generator status data,timely judges a health status of the wind turbine generator, and gives an alarm when the wind turbine generator status data does not meet set threshold requirements; the user terminal obtains the wind turbine generator status data and the health status of the wind turbine generator by accessing the wind turbine generator monitoring terminal, and gives an alarm when the wind turbine generator status data does not meet the set threshold requirements. The wind turbine generator wireless monitoring and early warning system realizes wireless monitoring and intelligent early warning of the status of the wind turbine.

The invention discloses an intelligent agricultural machine information management system, and belongs to the technical field of agricultural machine management. The agricultural machinery supervisionsystem comprises a business main body, and the business main body comprises an agricultural machinery supervision business query analysis unit, an agricultural machinery cooperation management unit,an agricultural machinery production management unit, an agricultural machinery statistics investigation application unit, an agricultural machinery science and technology popularization application unit and an agricultural machinery subsidy query analysis unit. A system management unit and a data analysis and display unit are further arranged, the system management unit serves as an entrance unitof the service body and is arranged at a data entrance of the service body, and the data analysis and display unit serves as an output unit of the service body and is arranged at a data output end ofthe service body. According to the intelligent agricultural machine information management system, by arranging the business main body, agricultural machine management business is more concentrated,the defect that business is relatively dispersed due to large data size in a traditional agricultural machine management mode is overcome, and agricultural machine information management can be conveniently and efficiently achieved.

The invention provides a system of intelligent-type reworking. The system includes an industrial control computer and an RFID reader-writer arranged on each station position of a reworking center. Theindustrial control computer communicates with the RFID reader-writer. An RFID tag and a two-dimensional code recording workpiece information are arranged on each workpiece. A system management modulewhich is responsible for managing users and assigning user authority, a reworking management module which is responsible for managing reworking rules of the different-type workpieces, a reworking intelligent-control module which is responsible for intelligently carrying out reworking prompting according to the reworking rules, a data collection module which is responsible for collecting data in the RFID tags on the workpieces and a data analysis module which is responsible for analyzing the collected reworking data are arranged on the industrial control computer. The data collection module isconnected with the RFID reader-writer. The invention also provides a control method of intelligent-type reworking. The system and the method can help an operation worker in clarifying work contents,and reduce a misoperation rate; and have the advantages that costs are low, intelligence is more, data values are fully utilized, and reworking misoperation is prevented.

The invention discloses a temperature and humidity monitoring and alarming system, which comprises a singlechip and an information acquisition module, and is characterized in that the singlechip comprises a data storage unit, a rule storage unit and a data analysis unit; the information acquisition module comprises a temperature sensor and a humidity sensor; the temperature sensor is connected with the data storage unit of the singlechip through an analog-to-digital converter; the humidity sensor is directly connected with the data storage unit of the singlechip; a keyboard system is connected with the rule storage unit of the singlechip through a man-machine conversation interface; and an alarming system and a display system are connected with the data analysis unit of the singlechip through the man-machine conversation interface. By adopting a detection system, the temperature and humidity monitoring and alarming system is simple in structure, small in size, high in instantaneity and favorable for acquiring ambient temperature and humidity in real time.

The invention discloses a method for determining the slotting rate of a wind tunnel test section wallboard, and aims to eliminate a current situation that the existing design of the slotting rate of the transonic speed wind tunnel test section lacks a theoretical foundation. On the basis of the analysis of axial induced velocity distribution in a conventional model test, a method for determining areasonable slotting rate is put forward by taking blockage interference effect elimination as a foundation so as to improve the refining level of slot wall design and guide later-stage equipment operation and data analysis work. The slotting rate determined by the method disclosed by the invention is determined on the basis of complete model blockage interference effect elimination, and under thestate of the slotting rate, influences, including model lift force interference, streamline bending interference and the like, can not be ignored and still need to be evaluated and corrected. Since the model blockage interference directly influences wind tunnel running states (including test section entry Mach number, static pressure, Reynolds number and the like), the slotting rate should be preferentially based on blockage interface effect elimination. By use of the method, design risks and debugging cost can be effectively lowered, and the refining level of slot wall design can be improved.

The embodiment of the invention discloses a method and equipment for predicting the quantity of daily active objects. The method provided by the embodiment of the invention comprises the steps of predicting a first object reflux amount of a (M+X)-th day via an object reflux model, wherein the object reflux module is acquired through modeling after statistically analyzing a reflux ratio of a firstobject in the daily active objects of continuous (N+1) days from the M-th day to the (M-N)-th day, wherein the first object is the newly added object before the (M-N)-th day; predicting the retainingamount of a second object of the (M+X)-th day via an object retaining model, wherein the object retaining model is acquired through performing data analysis according to the retaining amount of the second object in the quantity of the daily active objects within (N+1) days; and determining the quantity of daily active objects of the (M+X)-th day according to the reflux amount of the first object of the (M+X)-th day in the quantity of the daily active objects of the (M+X)-th day and the retaining amount of the second object of the (M+X)-th day.

The invention discloses a control system for an electricity meter box based on an intelligent lock. A monitoring system comprises a box door opening state detection module, a microprocessor, a communication unit and a cloud server, wherein the output end of the box door opening state detection module is connected with the input end of the microprocessor and is used for transmitting the acquired box door opening state to the microprocessor; and the output end of the microprocessor is connected with the cloud server through the communication unit and is used for transferring the box-door state into the cloud server. The control system disclosed by the invention has the advantages that the structure is simple and is easy to achieve; through the monitoring of a box door of a box body, the control system is convenient for monitoring personnel to judge whether a person opens the box door or not according to the status of the box door and further can be convenient for the monitoring personnelto determine whether the possibility of power theft exists or not; the monitoring accuracy is higher; compared with historical data analysis, the box door of the electricity meter box only allows tobe opened by workers, otherwise the condition is considered as an abnormal condition; and the monitoring is more effective.

The invention discloses a general-purpose motion control device and control method for a rehabilitation robot. The control device comprises a master controller of the rehabilitation robot, a motor driving module, a position and speed detection module, a joint force information acquisition module, a contact force information acquisition module and a rehabilitation data analysis module, wherein themotor driving module, the position and speed detection module, the joint force information acquisition module and the contact force information acquisition module are all mounted on the rehabilitationrobot, and the motor driving module is connected with a plurality of joint driving motors for driving joints of the rehabilitation robot. The control device and control method have the beneficial effects that through the design of a modularized total showing structure, convenient expansion of components and functions of the rehabilitation robot is increased; and the control device can be suitablefor different structure forms of a single-freedom-degree structure form, a two-freedom-degree structure form, a three-freedom-degree structure form, a multi-freedom-degree structure form and the like, and has the functions of performing single-joint independent training of different positions of upper limbs, lower limbs, waists and the like, multi-joint synergistic training and the like.

The invention provides a method for automatically recommending training courses and related equipment, and the method comprises the steps: analyzing and processing user personal information and course information collected by an education platform from a plurality of aspects, obtaining a plurality of course recall alternative sets, selecting a corresponding number of courses from the plurality of course recall alternative sets according to a preset weight, and obtaining a multi-path course recall alternative set for recommending courses to the user. According to the method, the user groups are analyzed and calculated according to the post classification of the users, so that the calculation efficiency and the data analysis accuracy are improved, the analysis result better meets the training requirements of enterprises and individuals, and accurate curriculum recommendation is realized.

The invention discloses an environment-friendly waste gas detection device. The device comprises a box body; the box body is made of a metal material; four mounting blocks are symmetrically and fixedly connected to the lower portions of the side walls of two sides of the box body; first mounting grooves are symmetrically formed in the middles of the upper portions of the two side walls of the boxbody; and a gas incoming groove is formed in the center of the bottom wall of the box body. According to the environment-friendly waste gas detection device of the invention, an integrated design is adopted; the four mounting mechanisms are adopted, so that the installation of the device is facilitated; an auxiliary air incoming device and an auxiliary air discharging device are adopted to performsuck in and exhaust environment-friendly waste gas; a gas detection device is arranged between the auxiliary air incoming device and the auxiliary air discharging device so as to monitor the environment-friendly waste gas; a plurality of groups of inductive probes extend out of the monitoring device and are arranged in an air duct; a plurality of groups of detection data are detected; data analysis and processing are performed; and an obtained detection result is relatively accurate. The whole device of the invention has the advantages of relatively high detection efficiency, high accuracy and relatively high practical applicability.