57results about How to "Implement analytical processing" patented technology

An under-shaft radio positioning system of Bluetooth is prepared for fixing a numbers of Bluetooth base stations in mine shaft and connecting these Bluetooth base stations to each other by cable or radio network, applying existed module with Bluetooth chip as Bluetooth mobile station being radio-connected with Bluetooth base station and connecting Bluetooth base station to monitor host by cable network.

The invention discloses a driving fatigue electroencephalogram monitoring method based on electrooculogram and electroencephalogram comprehensive determination, comprising the steps: first, connecting devices and initializing parameters; connecting an electroencephalogram signal acquisition device with an electroencephalogram signal monitor terminal, and setting fatigue step parameters through a master control chip of the electroencephalogram signal monitor terminal; second, acquiring electroencephalogram signals: using the electroencephalogram signal acquisition device to acquire and pretreat electroencephalogram signals of a driver, and synchronously transmitting the pretreated electroencephalogram signals to the electroencephalogram signal monitor terminal; third, analyzing the electroencephalogram signals: calling an electrooculogram determination module and an electroencephalogram determination module in the same time by the master control chip of the electroencephalogram signal monitor terminal, and analyzing the electroencephalogram signals acquired and pretreated by the electroencephalogram signal acquisition device. The method of the invention has simple steps and reasonable design, is convenient to implement and effective to use, can accurately monitor the driving fatigue state of the driver in a simple, quick and real-time manner and has high practical value.

The invention discloses a medical big data processing method based on a body area network and cloud computing. The method comprises the steps that a physiological sensor senses user physiological data, generates a symmetric key for encryption of data through utilization of an APTEEN protocol and a Diffie-Hellman key exchange protocol, signs the data through utilization of a Merkle tree and transmits the processed data to a mobile device; the mobile device decrypts the data uploaded by the physiological sensor, verifies a user identity and completeness of the transmission data and sends verified user data to a cloud server for data storage and data analysis; and the cloud server stores a data analysis result and sends the data analysis result to the mobile device. According to the method, the medical data is stored and protected through adoption of a transmission encryption technology, so the problem that the privacy of a patient is leaked is effectively solved; and the data is transmitted to the cloud server in real time through a wireless network, redundancy eliminated storage and real-time decision analysis problems for the real-time transmission data are solved through utilization of a big data technology, and the security protection and real-time analysis of the medical big data are realized.

The invention discloses a fatigue driving electroencephalographic monitoring method. The method includes steps: firstly, device connection and parameter initialization, to be more specific, connecting an electroencephalographic signal acquisition device to an electroencephalographic signal monitoring terminal, and setting fatigue step parameters; secondly, electroencephalographic signal acquisition, to be more specific, using the electroencephalographic signal acquisition device for acquiring and preprocessing electroencephalographic signals of a driver and synchronously transmitting the electroencephalographic signals to the electroencephalographic signal monitoring terminal; thirdly, electroencephalographic signal analytical processing, to be more specific, using the electroencephalographic signal monitoring terminal for calling an electrooculogram judgment module to analytically process the electroencephalographic signals acquired and preprocessed by the electroencephalographic signal acquisition device, namely blink frequency judgment threshold determination, electroencephalographic signal analytical processing before fatigue driving judgment and electroencephalographic signal analytical processing after starting of fatigue driving judgment. The fatigue driving electroencephalographic monitoring method has the advantages of simple procedures, reasonable design, convenience in implementation, effectiveness and simplicity, convenience, quickness and timeliness in accurate monitoring of a fatigue driving state of the driver.

The invention discloses an underground coal bunker coal level detecting method based on the image processing technology. The method comprises the steps that firstly, an enhancement type camera ICCD is utilized for collecting images of a coal bunker according to the range gating laser active imaging technology; collected analog signals are converted into digital signals through a video decoder SAA7113H, wherein the digital signals can be processed through a DM642 chip; the DM642 chip is used for reading image data from a memorizer and filtering the image data; the edge extraction is carried out on the filtered images by combining the advantages of the BEMD decomposition, mutual information entropy and image overlapping; the coal level height information is extracted according to the coal level detecting and recognizing algorithm that the geometrical information of the scenery based on the pre-determined geometrical information in the lighting. The method is high in distance measuring precision, good in anti-interference performance and high in real-time performance, solves the key problem of coal mine safety production monitoring and communicating and plays a positive, real and long-term significant role on coal mine safety production and economical benefit increasing.

The invention relates to a plant blade recognition method based on an Android platform. The method comprises: (1) performing tailoring of an interested area on an image of a plant to be detected, executing (2) if selecting stand-alone recognition, and executing (4) if selecting networking recognition; (2) in cooperation with a K nearest node classifier and a support vector machine, a database of the Android platform is used to perform classification recognition on the image of the plant to be detected; (3) getting the Euclidean distance of a feature description vector of the image of the plant to be detected and feature description vectors of all plant images in the database, taking the first five plant species with the smallest Euclidean distance, judging whether the obtained target plant species is among the five plant species, executing (5) if yes, and executing (4) otherwise; and (4) sending an interested image to a server side through an HTTP protocol. Compared with the prior art, the plant blade recognition method based on the Android platform processes images in real time and efficiently, and uses NDK and JNI technologies to remarkably improve the accuracy and the speed of recognition of classification.

The invention discloses a driving fatigue electroencephalogram monitoring method based on stepped fatigue determination, comprising the steps: first, connecting devices and initializing parameters; second, acquiring electroencephalogram signals: using an electroencephalogram acquisition device to acquire and pretreat the electroencephalogram signals of a driver, and synchronously transmitting the pretreated electroencephalogram signals to an electroencephalogram signal monitor terminal; third, analyzing the electroencephalogram signals: analyzing the electroencephalogram signals acquired and pretreated within any second, and calling a stepped fatigue determination module to carry out analysis by a master control chip, wherein the process includes: synchronous storage of electroencephalogram signals, extraction of mediation degree and attention degree, determination of mediation degree corrected value and time corrected parameter, increase and decrease in fatigue step parameter, and judgment of driving fatigue. The method has simple steps and reasonable design, is convenient to implement and effective to use, can accurately monitor the driving fatigue state of a driver in a simple, quick and real-time manner and has high practical value.

The invention discloses a medical record analysis method and device, equipment and a computer readable storage medium. The medical record analysis method comprises the following steps: in response toa medical record analysis instruction, obtaining a medical record text; carrying out part-of-speech analysis on the medical record text to obtain a part-of-speech analysis result; carrying out syntactic analysis on the medical record text to obtain a syntactic analysis result; according to the part-of-speech analysis result and the syntactic analysis result, carrying out analysis on the medical record text to obtain at least two medical entities and at least one medical entity relationship, wherein the medical entity relationship is relationship between any two medical entities; and accordingto each medical entity and each medical entity relationship, generating a medical record analysis result. The method can improve medical record analysis efficiency and accuracy.

Embodiments of the invention provide an abnormal transaction detection method and device, and a storage medium. The method comprises the steps of obtaining current data of a transaction needing to bedetected; classifying and aggregating the current data according to a preset quantification index so as to determine a classification and aggregation parameter; determining the probability density ofthe classification aggregation parameters by using a kernel density algorithm in combination with a kernel density sample determined in advance according to the time dynamic window; and according to the probability density, in combination with the kernel density sample, determining whether the transaction to be detected is an abnormal transaction. Therefore, the abnormal value detection is carriedout on the stream data with complex change modes, small change range and time sequence characteristics through the kernel density algorithm, the transaction data can be analyzed and processed under the unsupervised condition, and whether the transaction is abnormal or not can be rapidly and accurately determined.

The invention belongs to the technical field of shield machine lubrication condition monitoring, and proposes a shield TBM oil liquid state on-line automatic monitoring system. The proposed shield TBM oil liquid state on-line automatic monitoring system includes a planetary gear oil tank (1), a main bearing gear main oil tank (2) and an on-line monitoring acquisition control part (9); the on-line monitoring acquisition control part (9) has a plurality of solenoid valves (7); the plurality of solenoid valves (7) and a plurality of planetary gear oil tanks in a shield machine gear oil lubrication system are in one-to-one correspondence; the plurality of solenoid valves are cyclically opened in an on-line monitoring period, and only one is in a normally open state; the on-line automatic monitoring system is also provided with an oil liquid monitoring loop (5); the other ends of the plurality of solenoid valves (7) communicate with the oil liquid monitoring loop (5); and the oil liquid monitoring loop (5) is connected with the on-line monitoring acquisition control part (9). The shield TBM oil liquid state on-line automatic monitoring system provided by the invention ensures reliable lubrication of equipment and safe operation of a shield machine.

The invention discloses a current and voltage sensor integrated box and a motor parameter real-time acquisition apparatus and method with the same. The motor parameter real-time acquisition apparatus also comprises a power supply module, a torque and speed sensor module and an AppSIM simulation platform; the power supply module is connected with a three-phase four-wire input end of the current and voltage sensor integrated box, a three-phase four-wire output end of the current and voltage sensor integrated box is connected with a stator winding of a motor, the torque and speed sensor module is connected with a rotor of the motor, and the AppSIM simulation platform is connected with the current and voltage sensor integrated box and the torque and speed sensor module respectively. The motor parameter real-time acquisition apparatus is used for the real-time acquisition, storage and display of three-way voltage and three-way current signals output by the current and voltage sensor integrated box as well as for the output of speed signals and torque signals output by the torque and speed sensor module. According to the current and voltage sensor integrated box and the motor parameter real-time acquisition apparatus and method with the same, the real-time acquisition, analysis, processing, online display and dynamic storage of motor parameters can be achieved, and good real-time performance and stability are obtained.

The invention discloses a safety monitoring method and system based on internet of things; the safety monitoring method and system based on internet of things is low in cost and high in reliability; the method comprises the following steps: gathering industrial equipment running state data and industrial place environment data; uploading the gathered industrial equipment running state data and industrial place environment data to a server; determining whether the industrial equipment running state data or industrial place environment data are abnormal or not, and sending alarm information to associated personnel. The method can timely spot problems, thus enabling work personnel to deal with the problems in the first time; the safety monitoring method and system based on internet of thingsis suitable for the industrial field.

The invention provides a method for evaluating the structural state of a transmission tower. The method comprises the following steps of S1 collecting the relevant data of the transmission tower and the transmission line, initially grasping the operation situation, and screening out obvious structural problems; S2 establishing the three-dimensional finite element model of the transmission tower and the finite element model of a conductor by the ANSYS software; 3 calculating the static parameters and the dynamic parameter based on the three-dimensional finite element model of the transmission tower; S4 according to the difference between the static and dynamic parameters and their corresponding standards, selecting the corresponding treatment mode.. Based on the finite element to evaluate the structural state of the transmission tower, the method is convenient for transmission line maintenance and repair personnel and related scientific research personnel to evaluate the operation stateof the transmission tower, and then take corresponding measures to ensure the structural safety of the transmission tower.

The invention relates to the technical field of data marts and data warehouses, in particular to a data modeling method for data marts and data warehouses, which comprises the following steps: a stepof building a bus architecture: extracting main data of a service system for automatic integration, obtaining a public consistency dimension, and building a standard bus interface; a data processing step: classifying the business data tables, and automatically screening a data extraction mode to extract the business data tables according to a classification result; and a model integration step: combining the business data tables through the inverse three normal forms, splitting the business data tables to form a fact table and a plurality of dimension tables, and constructing a dimension modelwhich takes the fact table as a main part according to the fact table and the plurality of dimension tables. By the adoption of the scheme, the technical problems that in the prior art, due to the fact that all independent data markets are independently constructed by all users or departments, data architectures of the independent data markets are independent of one another and cannot be reused,data islands are easily caused, and meanwhile standardization, consistency and accuracy of enterprise data cannot be guaranteed can be solved.

The invention discloses a data processing method and a data processing system for an intelligent power grid. The data processing method comprises the steps of: layering data information of the intelligent power grid and establishing a data mining model for communication service requirements; acquiring key indexes, which comprise dimension indexes and mining indexes, of the data mining model; and confirming an operating state of the intelligent power grid through the key indexes. The data processing method layers the data information and establishes the data mining model, can obtain the key indexes based on the data mining model, and confirms the operating state of the intelligent power grid according to the key indexes. The data processing method confirms the operating state of the intelligent power grid through layering the data information, establishing the data mining model and extracting the key indexes without processing all the data information one by one, can achieve analysis and process of mass data quickly, and realizes the processing of big data of the intelligent power grid.

The invention discloses a wearable human vital signal monitoring vest which comprises a front portion, a back portion and a connection portion. The front portion covers the human chest and abdominal parts, the back portion covers the human back part, and the connection portion covers the human shoulder parts. A physical sign detecting device is arranged in the connection portion and connected withvarious type of physical sign sensor groups, the outer side of the front portion is provided with a plurality of sensing preset faces, each sensing preset face is provided with an adhesion face, andthe sensor groups are arranged on the corresponding sensing preset faces respectively. By adoption of the technical scheme, sensors are arranged according to actual body contours of users, and the defect of influences on wearable device monitoring effects due to large monitoring data volume in the prior art is overcome.

The invention discloses an intelligent reactive power compensation and electric energy parameter display integrated control device, and the device comprises a microprocessor unit, a signal collection unit, an electric energy parameter analysis metering unit, a power supply unit, a display unit, a man-machine conversation unit, a storage unit, an alarm unit, a temperature detection unit, a communication unit, and a drive output unit. The device integrates power grid monitoring and reactive power compensation, can compensate for the reactive loss of a power grid, improves the power factor, reduces the line loss, and improves the loading capability and power supply quality of the power grid. Meanwhile, the method also can monitor three-phase voltage and current and the power factor of the power grid in real time, can complete the integrated management of the monitoring, analysis and processing, report output and remote operation of a whole low-voltage power distribution line, and provides the first-hand reliable data for the scientific management of the low-voltage power distribution line.

The present invention provides a real-time environmental testing and analyzing device and method for a ship's integrated electric propulsion system based on LabVIEW platform. The system comprises three logarithmic cycle antennas, a PXI chassis and a host computer. The PXI chassis is embedded with three 5624R IF digitizers; the three logarithmic cycle antennas are arranged around a piece of to-be-detected equipment to acquire and measure ambient electromagnetic radiation signals in real time and the signals are inputted into the three 5624R IF digitizers respectively; the 5624R IF digitizers perform programming through the LabVIEW FPGA module on the LabVIEW software platform and convert the simulation signals measured by the logarithmic antennas into digital signals; and the data processed by the FPGA are transferred into the host computer; therefore, real-time visualization of environmental data is realized. The invention integrates the hardware equipment, the software framework and the advanced algorithm organically and deeply analyzes and studies the complex testing mechanism of the integrated electric propulsion system so as to improve the testing speed and precision in a complex environment.

The invention provides an intelligent application integrated development system based on big data. The intelligent application integrated development system comprises a big data platform, an ecological environment system of a numerical control system and an intelligent application system based on the numerical control system. Wherein the big data platform can provide basic data service of relatedequipment for the intelligent application integrated development system; the ecological environment system of the numerical control system can process the basic data of the related equipment providedby the big data platform and provide the processed basic data for the intelligent application system based on the numerical control system; the intelligent application system based on the numerical control system can be used for program development and provides resource allocation for program development. In addition, the invention further provides an ecological environment system of the numericalcontrol system, a data processing method, a data access method, a data processing device and a storage medium.

The invention discloses an image water level intelligent identification method based on a fixed viewport, for a picture shot by a fixed viewport camera, pixel points on the shot image have a one-to-one correspondence relationship with points on a corresponding external scenery. Position coordinates of each coordinate point of an external scene are acquired in advance, and the coordinates can be mapped to corresponding pixels on an image. When the external scenery changes regularly, such as rising or falling of the water surface of the water body, the edge line pixel of the change of the scenery in the identification area can be acquired by acquiring the fixed viewport image in real time and the intelligent algorithm, and the current water level value of the water body can be calculated bythe edge pixel. Sensor information such as images, water levels and rainfall can be automatically and regularly collected, file service and storage can be provided, parameter setting can be carried out on site or remotely, and automation of the whole process of water level carrier image acquisition, analysis and processing, water level intelligent recognition, information sending and the like canbe achieved.

The invention discloses a method for obtaining a physical quantity corresponding to CAN data. The method comprises that a first CAN data frame before the specific physical quantity is obtained and a second CAN data frame after the specific physical quantity is obtained are obtained; corresponding positions of all the same CAN ID in the first and second CAN data frames are compared; when a specific corresponding position of the CAN ID of the first CAN data frame is different from that of the same CAN ID of the second CAN data frame, the CAN ID and a candidate position of the specific corresponding position are recorded; and the recorded CAN ID and candidate position of the specific corresponding position are determined to be the physical quantity corresponding to specific CAN data. Correspondingly, the invention discloses a device for obtaining the physical quantity corresponding to the CAN data, a CAN data processing system and electronic equipment. According to technical schemes of the invention, the analysis efficiency of the physical quantity corresponding to the CAN data is improved.

The embodiment of the invention provides a data collecting card. The data collecting card comprises a system side module composed of a microcontroller and an FPGA, a site side module composed of an analog signal processing module and a digital signal processing module and an optical coupled isolator. The FPGA is connected with the controller through a parallel port, the analog signal processing module and the microprocessor are connected with the optical coupled isolator through an SPI bus, and the digital signal processing module is connected with the FPGA through the optical coupled isolator. By adopting a combination of the microprocessor and the FPGA, a digital signal and an analog signal are respectively analyzed, and the system task processing speed is increased. The optical coupledisolator is connected with the system side module and the site side module to achieve electric isolation, and the system capacity of resisting disturbance is improved.

The present invention relates to a medical image texture analysis system. By utilization of MATLAB programming, Fourier transform and autocorrelation function texture analysis methods are integrated in a GUI interface, a generated GUI module is compiled into an EXE file independent of the MATLAB software, and image analysis is achieved by directly operating the EXE file. The image texture analysis system comprises an image input module, an image adjusting module, an image processing module, a status module and an image output module. According to the medical image texture analysis system, multiphoton microscopic images of skin injury can be qualitatively analyzed and processed, and images and curve graphs which are visual and convenient for judgment can be obtained.

The invention discloses a data acquisition and monitoring system based on a numerical control machine tool, which comprises a data acquisition unit, a data processing layer, a monitoring center interaction unit, a big database storage module and a mobile monitoring terminal, and is characterized in that the data acquisition unit is in wireless bidirectional connection with the data processing layer through a first wireless communication module; and the mobile monitoring terminal is in wireless bidirectional connection with the data processing layer through the second wireless communication module.The invention relates to the technical field of numerically-controlled machine tools. According to the data acquisition and monitoring system based on the numerical control machine tool, sub-channel resourceful processing can be carried out on multiple pieces of acquired numerical control machine tool data information, the purposes of shortening the data analysis time and enhancing the timeliness of monitoring of the machine tool of a monitoring center are well achieved, multiple pieces of acquired data are analyzed and processed, the data processing speed is increased, the collected datais compared, recognized and analyzed one by one, and the accuracy of numerical control machine tool data analysis is greatly improved.

The invention discloses a hardware firewall detection device for a universal serial bus. The invention relates to the technical field of hardware firewall detection. The device comprises a processor,a storage device and a firewall interface, wherein the processor is used for detecting a data packet transmitted by a universal serial bus; the storage device is used for data storage; the firewall interfaces are divided into a first firewall interfaceand a second firewall interface, and a local firewall is arranged at the bus interface to realize a distributed protection structure; and the firewall interface is provided with multiple levels of dynamically updatable security modules. The firewall interfaces are divided into the first firewall interface and the second firewall interface; the first firewall interface is used for transmission monitoring of codes, data and shared storage information, the second firewall interface is used for monitoring of uart, gpio and usb interface transmission, multi-task isolation processing is truly achieved, analysis and processing of data packets are rapidly achieved, and the safety of the data in the storage device is guaranteed.

The invention discloses a grain processing loss data analysis system and method. The system comprises a data input module, a data processing module, a data statistical analysis module and a report display module; the data input module obtains cost data and practical data after grain processing; the data processing module matches the cost data with the practical data; and the data statistical analysis module integrates the cost data with the practical data after matching, and converts the cost data and the practical data into a preset format, and places the data in the preset format into a preset model for multi-dimensional data comparison, and sends a comparison result to the report display module. The format of different types of data is converted, the converted data is placed into the preset model for multi-dimensional comparison, and thus, the different types of processing grain data are analyzed and processed.

The invention discloses a chloridized slag high-temperature water quenching chlorine-containing waste gas analysis method and a treatment system, belongs to the technical field of waste gas analysis,and provides a chloridized slag high-temperature water quenching chlorine-containing waste gas analysis method, namely the treatment system. According to the invention, water quenching treatment is simulated in the water quenching device, corresponding waste gas generated by water quenching is collected to sequentially carry out pretreatment, acid absorption treatment, alkali absorption treatmentand drying treatment, and metering is performed; then the absorption liquid subjected to acid absorption treatment and alkali absorption treatment is respectively detected to measure the content of chlorine and hydrogen chloride in the waste gas, and calculate the concentrations of corresponding chlorine and hydrogen chloride in the waste gas generated by water quenching in combination with test parameters such as waste gas metering data so as to realize analysis and treatment of the chlorinated slag high-temperature water quenching chlorine-containing waste gas.

The invention relates to the technical field of safety production monitoring systems, in particular to a regional online monitoring system, which comprises a field acquisition end, a control core endand a client terminal. The field acquisition end comprises one or more of a thermal imaging monitoring unit, a noise monitoring unit, a dust monitoring unit, a methane concentration monitoring unit and a video monitoring unit; the control core end comprises a data processing unit for processing the information collected by the field acquisition end, an alarm filing unit and a network communicationunit connected with the client terminal; the client terminal comprises a video data display unit, a safety threshold setting unit and a safety playback unit. The system can monitor the overall operation condition of equipment, and can give an alarm in time when monitoring data exceeds a safety threshold, thereby achieving a safety prevention effect, prolonging the operation service life of the equipment, improving the safety guarantee of production, and improving the practicality.