53results about How to "Facilitate big data analysis" patented technology

The invention provides a road full-covering panoramic intelligent video monitoring system based on Internet of Things. The system comprises an acquisition unit, a panoramic video monitoring camera, a holder monitoring camera, a transmission unit, and an integrated control center, the integrated control center processes information obtained by the acquisition unit, the panoramic video monitoring camera, and the holder monitoring camera unit, and manages street lamps and controls the holder monitoring camera via the transmission unit, and required positions or targets on road sections can be monitored. According to the scheme, the street lamps are regarded as the infrastructure, the panoramic video monitoring equipment and the holder monitoring camera are combined, the Internet of Things is regarded as a carrier, technologies of road full-covering panoramic intelligent video monitoring, intelligent illumination, intelligent sensing detection, and novel data transmission, etc. are integrated, and the combination of urban road full-covering intelligent video monitoring based on street lamp facilities and urban smart illumination, comprehensive prevention and control, and network communication coverage is realized.

The invention relates to the technical field of a computer, and specifically relates to a government affair service appointment method and system. By segmenting appointment time into different appointment time sections according to different departments and types of service, wherein the appointment time can be accurate to minutes, enterprises or individuals can realize online appointment without going to sites, and can make an appointment in advance according to personal time management and according to prescribed time, and the appointment time can be accurate to specific time, so that the problem of blind waiting can be prevented and the problem of hall congestion can be solved. The government affair service appointment method and system have the advantages of being simple, convenient, fast and efficient and high in safety.

The invention discloses an intelligent operation and maintenance big data management system and method for urban rail transit. The system comprises an infrastructure module used for building a privatecloud cluster; a data analysis and access module used for analyzing and converting the original data into message data; a heterogeneous data storage module used for establishing a data table for storing message data; a data processing and analyzing module used for processing data; and a cluster monitoring module used for collecting hardware facilities and operation state data, comparing the operation state data with corresponding thresholds and giving out alarm signals when the operation state data exceeds the corresponding thresholds. The effectiveness of data display of the vehicle-mountedmonitoring system is higher, massive structured / unstructured data can be effectively stored and processed, convenience is provided for metro vehicle big data analysis, and the requirements of metro vehicle intelligent operation and maintenance for informatization, digitization and refinement data management can be better met.

The invention discloses a vending machine and an intelligent inventory monitoring system and method. Various to-be-sold commodities are arranged in the vending machine, the different types of commodities have different weight ranges, commodities in a set weight range are identified as the same type of commodities, and weight of the commodities has one-to-one correspondence relationships with the types of the commodities. A weighing device used for weighing the commodities is arranged on a goods receiving mechanism. The vending machine is in communication connection with a monitoring end. In commodity output, MCU of the vending machine obtains weight data of a commodity through the weighing device, then obtains commodity sales data, and feeds back the sales data to the monitoring end for realizing monitoring implementing of the monitoring end on inventory of the vending machine. The monitoring end is a server (platform) or a mobile terminal. According to the intelligent inventory monitoring method of the vending machine, process designing is reasonable, and highly efficient inventory counting can be realized.

The invention discloses a method for data conversion between a serial port and Ethernet and a device thereof. The method comprises the following steps: when micro-grid data enters a data conversion device through a serial port, firstly performing physical caching through the serial port, then performing data caching through a main controller, and then sending the micro-grid data to a network port, and finally transmitting the micro-grid data to a remote network from the network port; and when a remote network instruction enters the data conversion device through the network port, firstly performing data caching through the main controller, then performing physical caching through the serial port, and then transmitting the remote network instruction to a micro-grid through the serial port. According to the method and the device thereof disclosed by the invention, serial port data of the micro-grid is converted into network port data and is sent out through networks, and the remote data instruction is also received back through the networks; and the method and device can prepare for the long-distance transmission of real-time big data, have the characteristics of double caching, high-efficiency and high-speed transmission, configurability and user friendliness, can meet the requirements of big data transmission, and are convenient to carry out big data analysis and other functions.

The invention relates to a data processing system. The data processing system comprises a portrait sensor, transmission equipment and a cloud server, wherein the portrait sensor employs a low voltagefor power supply, the portrait sensor is used for shooting a video of a user when the user is monitored to enter the preset scope of the portrait sensor and acquiring the shot video, a first video including a face of the user is captured from the shot video, face characteristics of the user are extracted from the first video, the face characteristics are transmitted by the transmission equipment to the cloud server, and the cloud server is used for analyzing the face characteristics and acquiring the analysis result. The data processing system is advantaged in that the front-end equipment withsuper-low power consumption and super-low cost can be utilized, and big-data analysis is facilitated.

The invention provides an automobile working condition screening method, an engine calibration method and system and a readable storage medium. Specific working conditions (namely specific automobileoperation working conditions) can be automatically screened out from a large number of collected data record files of different test types, the scheme is reliable, simple and efficient, and generationof a test report, statistical analysis of big data and accurate calibration of an engine can be facilitated.

The invention relates to a plate spring quality detection device for achieving on-line plate spring rolling data measuring. Conveying rollers are arranged on a machine frame and subjected to transmission through a roller bed driving motor. A servo motor is arranged at the tail end of the machine frame and connected with a synchronous belt driving wheel, the synchronous belt driving wheel is connected with one end of a synchronous belt, and the other end of the synchronous belt is connected with a synchronous belt tension mechanism. The synchronous belt is connected with a moving traction platform, the inner side of the lower portion of the moving traction platform is connected with a linear guide rail slide block, the linear guide rail slide block is installed in a measuring guide rail on the side face of the machine frame, and a plate spring positioning and clamping mechanism is fixed to the top of the moving traction platform. The front end of the machine frame is provided with a front alignment mechanism, a rear alignment mechanism is arranged by being matched with the front alignment mechanism, the portion, between the front alignment mechanism and the rear alignment mechanism, of the machine frame is correspondingly provided with an upper laser range finder and a lower laser range finder, and an air cooling pipe is fixed to the position corresponding to a measuring slice. Through the plate spring quality detection device, on-line detection of the quality of a high-temperature plate spring rolled slice can be achieved, the detection efficiency is high, the detection precision is improved, and the detection accuracy rate is ensured.

The invention provides a beer sales monitoring system based on big data, which comprises an offline unmanned beer sales station, an online sales monitoring platform and a cloud server; the online sales monitoring platform is provided with a client port; the client port comprises a supplier port, a logistics provider port, a dealer port and a consumer port which are used for monitoring sales information; the online monitoring sales platform comprises an after-sales monitoring module, a traceability module, a sales prediction module and an inventory monitoring module; a positioning module and an information uploading module are arranged in the offline unmanned beer selling station and are used for uploading the selling condition along with position information. According to the invention, the system complies with the development of times, carries out the statistics of beer sales in a comprehensive online and offline mode, and monitors the sales conditions of multiple roles of an online sales channel; and meanwhile, the influence of after-sales and each tracing link on the sales volume is considered, so that big data analysis of sales feedback of beer enterprises and operation decision in the marketing aspect are facilitated.

The invention provides a field real-time pesticide detecting system and method. The system comprises a detecting module, a wireless transmitting device, a wireless receiving device, a storage device and a display; the wireless transmitting device is mounted on the detecting module and the wireless receiving device is mounted on the storage device; the display is connected with the storage device. According to the system and method of the invention, a pesticide detector is installed on a field detecting vehicle, and real-time sampling and real-time detection in the field are realized through cooperation of the wireless transmitting device and a mechanical arm, so that detecting data has no hysteresis.

The invention discloses a filter element service life assessment method based on a nine-layer filter element water purifier. The method comprises the following steps: transmitting a power-on signal toa cloud server once every day after the nine-layer filter element water purifier is powered on; receiving and acquiring the power-on signal of the nine-layer filter element water purifier by the cloud server under the condition that service life data of eight filter elements of the water purifier are stored in the cloud server; and determining the fact that the water purifier is in a working state according to the power-on signal of the nine-layer filter element water purifier, subtracting 1 based on the stored service life data of each filter element by the cloud server, updating the data toobtain the remaining service life data of each filter element, calculating the remaining service life percentage of each filter element, and transmitting the remaining service life data and the percentage to the nine-layer filter element water purifier and a user terminal respectively. The cloud server assesses and calculates the filter element service life of the nine-layer filter element waterpurifier, and the data calculation accuracy is high, so that a user can accurately see the consumption condition of the filter elements.

The invention belongs to the technical field of information statistics methods, and particularly relates to a method for counting a user who opens a short message containing a link website and the reading time, which can mainly solve the technical problem that in the prior art, a pusher cannot perform statistical analysis on pushed information. The technical scheme adopted by the invention is as follows: the method for a user who opens the short message containing the link website and the reading time comprises the following steps: 1 editing and sending the short message; 2, enabling the server to identify the collected information; 3, carrying out information statistics and feedback;. The method has the advantages of accurate selection statistics, convenience, rapidness, manpower saving,low cost and the like.

The invention discloses an AI voice and video system, and relates to the technical field of epidemic prevention and control, in particular to an infrared sensing probe module, a camera shooting moduleand an operation confirmation module, wherein the infrared sensing probe module is electrically connected with a system switch control module through a wire; the control chip module is electrically connected with the voice instruction issuing module, the data storage module and the information transmission module through wires, and the operation confirmation module is electrically connected to the output end of the protective clothing putting-on, taking-off, disinfection and error correction module through wires. According to the AI voice and video system, the camera shooting module can shootoperation steps when a person wears and takes off protective clothing in real time, comparison is conducted through the information comparison module, and if an operation error occurs, a corresponding unit content in the data storage module can be transmitted to the protective clothing wearing and taking-off and disinfection error correction module to be played and explained; therefore, the personnel can be guided to correctly put on and take off the protective clothing, virus invasion is avoided, and personnel protection is improved.

The invention provides a data storage system and method, and relates to the technical field of computers, the system comprises a data module, a prediction module, an execution module and a monitoringmodule, and the data module reads data from a data information end and performs fragmented storage on the obtained data; the prediction module performs data pre-analysis on the data; the execution module receives a search command sent by an external terminal, generates a search log according to the search command, decomposes the search command, and searches demand data and a data analysis report associated with the demand data according to the step-by-step search command; and sending the demand data to an external terminal, the monitoring module monitors the running state of the system to generate a running log; the data module can also clean the data to release the storage space. The data module supports data classification and data cleaning so as to ensure the storage space and the operation efficiency; the prediction module can provide a data auxiliary effect for a client; and the execution module can execute the search command step by step, so that the execution efficiency is ensured.

The invention provides a hydroponic plant automatic control system, which comprises a user side and a cloud server, and is characterized in that data interaction is carried out between the user side and the cloud server through an Internet network. The beneficial effects of the invention are that: the hydroponic plant automatic control system is provided, a user selects a specific plant growth model according to information such as plant types and growth regions; the system generates a control command for adjusting parameters according to environmental parameters of current plant growth basedon the plant growth model and issues the control command to a user hydroponic control device, so that the environmental parameters of plant growth are maintained in an optimization interval, and in addition, the growth state of the plant is digitally expressed through picture analysis. Therefore, a set of closed loop from external elements to growth results is established, subsequent big data analysis of an optimal growth model is facilitated, and the planting technical threshold of hydroponic plants is greatly reduced.

The invention discloses an electronic phase silencer. The silencer comprises a silencer device body, wherein the silencer device body comprises a silencer outer shell; a silencer inner shell is arranged in the silencer outer shell. Central processing units are installed in the middle of the upper end and the middle of the lower end of the silencer inner shell. One side of each central processing unit is connected with an original noise collector, the original noise collectors are installed on the silencer inner shell, the other side of each central processing unit is connected with a phase noise generator, the phase noise generators are installed on the silencer inner shell, and a Bluetooth module is integrated in the central processing units. The electronic phase silencer is small in size, light in weight, capable of being customized according to actual conditions, easy to install, convenient to maintain, free of ventilation resistance, capable of meeting system ventilation, free of filling materials and volatile organic pollutants, clean, safe, sanitary and environment-friendly, is used for soundproof rooms with high cleaning requirements in the medical industry, the health industry and the like, is easy to clean, resists high temperature and fire, and is suitable for humid special environments and the like.

The invention provides a coke oven basement automatic inspection device. The automatic inspection device comprises an inspection moving unit, a detection unit, a charging station, a control unit, a wireless transceiver and a cloud server. The device can realize automatic line inspection of the inspection trolley along a fixed track according to a set program or an instruction issued remotely, andcan operate and stop in a certain area according to the instruction issued by a remote terminal, the camera rotates by 360 degrees, adjusts the focal length , and accurately captures local conditions;and the coke oven basement automatic inspection device canreplace manual on-site inspection and confirmation, and assist remote diagnosis.

The invention discloses an intelligent acquisition system for structural safety of large buildings. The intelligent acquisition system comprises a central operation and processing unit and a power management unit and further comprises a local storage unit, an acquisition unit, a programmable switch array, an open circuit / short circuit diagnostic unit, an RS485 communication unit and a public network communication module which are connected with the central operation and processing unit. The programmable switch array is connected with the acquisition unit through the open circuit / short circuitdiagnostic unit, and meanwhile, the programmable switch array is connected with n sensor interfaces, wherein n is equal to or greater than one. The acquisition unit comprises a vibration string excitation and receiving unit, a resistance acquisition unit, a voltage acquisition unit and a current acquisition unit. The public network communication module is provided with a separate antenna. According to the intelligent acquisition system, primitiveness and authenticity of data at the acquisition end are ensured, calculation and analysis are put into a cloud server, thus field data diddling uploading can be completely eradicated, big data analysis is also facilitated, and safety performance analysis and setting of a threshold value are facilitated.

A citrus orchard pest identification and alarm method based on image identification comprises the following steps that S1, normal pictures of fruit trees and pictures suffering from pests are collected, and the pictures are stored in a training database as a training data set; s2, a preprocessing module performs de-noising and smoothing preprocessing on the pictures in the training data set, and is used for enhancing features of the pictures in the data set; s3, a feature extraction module extracts features of the photos in the data set to obtain a feature data set; s4, the data processing module trains an image recognition model, the feature data set serves as input data, and the image recognition model outputs a result of whether the fruit trees have insect pests or not. An image acquisition system is adopted to acquire images of fruit trees in a fruit forest, and the images are identified through a trained image identification model, so that errors and interference caused by artificial experience are eliminated, and meanwhile, the efficiency and the accuracy are greatly improved.

The invention provides an intelligent management system and management method for ophthalmic consumables, and belongs to the field of medical equipment. The intelligent management system for the ophthalmic consumables comprises a storage cabinet, a plurality of storage boxes being arranged in the storage cabinet; an acquisition unit, used for acquiring first consumable information of the ophthalmic consumables in each storage grid, and the first consumable information comprising names and valid use deadlines of the ophthalmic consumables; a plurality of first display units and a plurality of first alarm units; a clock unit, used for acquiring the current date in real time; a control unit, used for judging whether the time difference value between the effective use deadline and the currentdate of the ophthalmic consumables in each storage grid is smaller than a preset first threshold value or not, and controlling the corresponding first alarm unit to send out a first alarm signal whenthe time difference value is smaller than the first threshold value. According to the intelligent management system and management method for the ophthalmic consumables, the management efficiency andaccuracy of the ophthalmic consumables in the use period are improved.

The invention relates to the technical field of machine tool equipment, further to an intelligent three-color alarm lamp with a data acquiring function based on an industrial internet. The alarm lampcomprises an end cover, a lamp cover, a metal protecting shell, a base and a mounting screw; the metal protecting shell is arranged at the upper part of the base; the lamp cover is arranged at the upper part of the metal protecting shell; a lamp strip is arranged in the lamp cover; the end cover is arranged at the upper part of the lamp cover, and is provided with a temperature and humidity acquiring unit; a communication antenna is arranged in the lamp cover; a communication unit, a cutter wear acquiring unit, a machine tool data acquiring unit and a buzzer are arranged in the metal protecting shell; and an alarm lamp system comprises the three-color alarm lamp and a microcontroller system. A traditional machine tool alarm lamp, machine tool data acquisition, cutter wear online monitoring, environment temperature and humidity acquisition, a computer cloud technology and data remote wireless transmission are organically combined by using an embedded technology to realize real-time dataacquisition of machine tool, cutter and production environment temperature and humidity with low cost.

The invention discloses a target body automatic identification method based on laser scanning, and the method comprises the following steps: 1, erecting a rotary laser receiving and transmitting device, setting a target body capable of reflecting laser in a scanning region, and enabling the target body to have a unique code; 2, controlling the rotary laser transceiving device to continuously rotate and continuously transmit laser signals, and continuously acquiring a rotation angle and the laser signals reflected by the target body at high frequency at the same time; and step 3, analyzing andprocessing the rotation angle and the laser signal reflected by the target body, identifying the identity of the target body, extracting a central angle value of the target body relative to a rotary platform in the rotary laser transceiving device, and then obtaining the relative position of the target body and the rotary laser transceiving device in the scanning area according to the central angle value. The method depends on unique coding, transmitting and receiving integration and same-direction rotation, does not need technical processing such as positioning, high-frequency acquisition andmulti-time superposition, and achieves accurate and automatic identification of the target body.

The invention discloses a method for establishing a self-adaptive control network, which comprises the following steps of: 1, setting at least three reference network points with known coordinates, and setting measuring points or a combination body of the measuring points and an observation station on the reference network points; 2, arranging the combination body which is in intervisibility withat least three reference network points, controlling a measurement station to emit laser for scanning, calculating coordinates of the combination body according to reflected laser signals and the reference network points, and then taking the combination body as a new reference network point; 3, repeating the step 2, re-laying the combination body, and forming new reference network points until allthe new reference network points are laid; and 4, controlling measurement stations of all the new reference network points to perform laser scanning, correcting coordinates of all the new reference network points according to a scanning result, and completing establishment of the control network after correction. According to the invention, the position information of the new reference network point can be rapidly obtained and adaptively corrected, and the anti-interference capability and the data precision of the control network are greatly improved.

The invention comprises an urban resource integration system. The system comprises a plurality of data access areas, a data cache area and an intelligent processor, the terminal of each data access area is provided with a data judgment module; wherein the data cache region comprises a first-level cache library and a second-level cache library; the output end of the intelligent processor is connected with the input end of the data judgment module; each data judgment module is connected with the input end of the first-level cache library and the input end of the second-level cache library through a first data transmission end and a second data transmission end respectively. The invention further comprises an urban resource integration method. Data can be shunted into two paths; the situationthat a new data source cannot be accessed to the data access area and is lost due to the fact that too many previously accessed data sources are jammed in the data cache area is avoided, it is guaranteed that data transmission can still be kept unobstructed under the condition that the data sources are sharply increased, the system can keep normal throughput, and the running efficiency of the system is not affected.

The invention relates to the technical field of target practice, in particular to a field target practice system. The field target practice system comprises a target position unit, a target practice information collecting unit, and a signal transmission unit, and further comprises a data processing unit, a signal transfer unit, and a power supply unit, wherein the data processing unit is connectedto an indication-of-shots assessment unit; the target practice information collecting unit is in signal connection with the signal transmission unit; the signal transfer unit is used for transferringthe signal of the target practice information collecting unit to the data processing unit; and the data processing unit is also connected to a data storage unit. The field targeting system has high modularization degree and strong flexibility and is convenient.