351results about How to "Real-time storage" patented technology

The invention discloses a vehicle multi-target detection and trajectory tracking method based on re-identification, and belongs to the field of computer vision technology and video monitoring. The method comprises the following steps that firstly, a model capable of effectively extracting vehicle visual features on each track is trained by utilizing a vehicle re-identification technology; then, vehicle detection is carried out on each frame of image in the camera; and finally, in combination with the vehicle appearance features extracted by the re-identification model, motion prediction and visual similarity discrimination are fused, and single-camera multi-target tracking is executed, so that the driving trajectories of all matched vehicles are obtained. According to the method, multi-target matching of front and rear frames of images is successfully achieved in the aspect of tracking, the problem of tracking target shielding is effectively solved, and the appearance characteristics of the vehicle images shot by the multi-angle camera are extracted by adopting a re-identification technology aiming at the possible instability of algorithm detection performance caused by multiple visual angles and are fused into a tracking scheme, re-identification which occurs again after the tracking target is lost is achieved, and the track tracking capability is further improved.

The present invention provides a device for several blocks combined compressing video data and a method thereof, the device comprises a camera head, an image division processor, several single-block compressing treatment modules, a microprocessor and a memorizer, wherein, the single-block compressing treatment modules are connected with the image division processor and the microprocessor respectively, the memorizer is connected with the microprocessor and each single-block compressing treatment module respectively, and the image division processor is connected with the camera head and the microprocessor respectively. The present invention realizes the compression of high-definition video data and can be effectively applied in any high-definition image sampling system, especially in a patching display wall system of large screen DLP beitou TV; the system can not only effectively accomplish high-definition image sampling, but also can compress and memorize the data in real time and for a long period; and it has notable effects on enhancing the quality of multimedia products and on improving the compressing ca[ability of the high-definition video.

The invention discloses a method for electrically forecasting a danger in underground tunneling engineering, which comprises: building an approximately even current field in the direction of a tunnel or a laneway by burying long-distance fixed-source first and second power supply electrodes underground in the direction of the tunnel and the laneway; measuring and recording current field change under the background of the approximately even current field by using a measuring electrode buried in tunnel heading face of the laneway and a measuring electrode arranged in or outside the tunnel; and predicating and forecasting a danger around the tunnel heading face according to a law for the change of the electric field. The method has the advantages that: an electrical instrument can be placed in ground station for observation; intra-laneway power supply is avoided; the arrangement of the electrodes is convenient; and the early warning and forecasting cost is low. The method can be widely used in the field of projections involving laneway or tunnel construction, such as coal mine, mine production, communication, water conservancy and hydropower and subway projections.

The invention discloses a mountain torrent disaster on-line monitoring and identification early warning method. The method includes the following steps that: a data acquisition subsystem acquires data at a site: an automatic rainfall monitoring station acquires and processes disaster field rainfall information and transmits the information to the system platform of an early warning index analysis model through a wireless mode and / or a wired transmission mode, a water level and / or mud level monitoring station acquires and processes field debris flow and water level information and transmits the information to the system platform of the early warning index analysis model through a wireless mode and / or a wired transmission mode, and a video monitoring station acquires and processes disaster field image information and transmits the information to the system platform of the early warning index analysis model through a wireless mode and / or a wired transmission mode; an identification early warning subsystem performs early warning judgment and issues internal early warnings; personnel are determined, and formal early warnings are issued; real-time monitoring is performed; and information query is performed. The method has the advantages of rapid identification and predictive early warning, and can assist in avoiding loss. The invention also discloses an early warning system using the mountain torrent disaster on-line monitoring and identification early warning method.

The invention provides a method capable of accurately measuring the thickness of ultrathin workpieces. As the ultrasonic information representing workpiece thickness is extracted by adopting a signal processing method, the invention is suitable for the ultrasonic thickness measurement technique for both ultrathin large-curvature workpieces and common workpieces, and the core of the invention is to perform fast Fourier transform on received echo signals so as to obtain measurement results. An instrument using the method capable of accurately measuring the thickness of ultrathin workpieces consists of a probe part and a host computer part, wherein the host computer part comprises a DSP control module, an ultrasonic transmitting circuit, an ultrasonic signal-receiving circuit, a signal amplification circuit, a gate circuit, a communication interface, an LCD display and a keyboard. The invention has the advantages of suitability for the thickness measurement of both ultrathin large-curvature workpieces and common workpieces, capability of acquiring ultrasonic echo signals in real time, real-time fast Fourier transform, real-time calculation and storage of pipe wall thickness and capability of realizing mechanized automatic measurement.

The invention relates to a testing device and method for the defocused spot and the color bias of an optical system, wherein the device comprises a monochromator, a target wheel, a collimator, a rotary table, a CCD (Charge-Coupled Device) micro-measuring unit and an acquisition and control computer; the monochromator, the target wheel, the collimator and the CCD micro-measuring unit are sequentially positioned on the same optical axis; the rotary table is used for arranging the tested optical system and the CCD micro-measuring unit; and the rotary table, the monochromator and the CCD micro-measuring unit are all connected with the acquisition and control computer. The invention can be used for effectively testing the defocused-spot diameters and the color biases of various optical systemswithin different wavelength ranges and well ensures the imaging quality of the optical systems.

The invention discloses a multi-platform avionics big data system. The multi-platform avionics big data system comprises a data acquisition module, a data storage module, a data association analysis module and a data association analysis application module. The data acquisition module acquires a pcap data packet file from a data source 1, after acquisition and classification, the pcap data packet file is sent to the data storage module, and the data storage process is completed; the data association analysis module acquires training data from a data source 2, and establishes a data association model, and provides the data association model for the data association analysis application module for use, real-time prediction is completed, the result is displayed on the screen, and the data association analysis application module completes a real-time storage function by means of a cloud storage function implemented by the data storage module. In addition, the invention also discloses an implementing method for the multi-platform avionics big data system. The multi-platform avionics big data system is integrated with functions of data acquisition, data classified management, data storage, data analysis and the like, multi-source heterogeneous data is acquired and managed in a classified manner, and is stored to a resource cloud platform in real time, and the data real-time performance is guaranteed.

The invention relates to a quality tracking and analyzing system of an overall welding process. The system comprises a data collecting front end and a backstage service end; the data collecting front end is connected with the backstage service end through a wired or wireless local area network; site construction process information data relative to the welding quality in a steel structure production process is collected and uploaded in real time by the data collecting front end; management and analyzing are conducted on the site construction process information data uploaded by the data collecting front end by the backstage service end which combines construction task data logged in advance. According to the system, welder operation information, shop environment information and equipment state information are collected and uploaded in real time through the data collecting front end, so that quality monitoring of the welding process by a construction management department is effectively enhanced, process tracing of the construction quality by a quality management department is further promoted, the welding quality is improved, and the building process and quality are guaranteed; moreover, the labor amount and human errors of manual recording are reduced, the production cost is saved, and the economic benefit of an enterprise is improved.

The invention provides a pre-estimation medical consumable replenishment system and a calculation method thereof. The system can build a dynamic sample database according to an input operation name, a name of a surgeon, variety of consumables and specifications of the consumables and calculates the consumable demand forecasting probability to obtain the replenishment quantity of the medical consumables corresponding to the variety and the specifications of the consumables based on optimized replenishment cost. Therefore, the system can conclude and summarize the demand law of related medical consumables according to the characteristics of various clinical operations and preferences of different surgeons and obtains the replenishment quantity of a certain medical consumable specifically, so that a zero-inventory management manner can be realized more efficiently in a hospital, the efficiency of capital can be developed more efficiently, the medical department cost is reduced, the space of a storeroom is saved, the flexibility and the convenience of management of the consumables are improved, and the pre-estimation medical consumable replenishment system has a great significance in standardization of the management process of the medical consumables of a medical department, accurate pricing, effective tracking and better risk avoidance.

A measuring device for weight and gravity center of an aircraft relates to the technical field of electronic measurement and comprises three electronic scales and an industrial personal computer. The measuring device is characterized by further comprising a data converter. The electronic scales are disposed below three wheels of the aircraft respectively and used for weighing the aircraft, and terminals of the electronic scale are connected with the data converter. The data converter acquires the weight of the aircraft and transmits the weight to the industrial personal computer. The industrial personal computer comprises a calculation device, a storage device and a display device. The measuring device combining the electronic scales and the industrial personal computer, real-time measurement and storage of the weight and the gravity center of the aircraft are achieved, and change of the weight and the gravity center of the aircraft can be observed visually. Especially, the weight and the gravity center are dynamically measured during continuous oil delivery and oil discharge of the aircraft in a ground test, so that labor is reduced greatly, work efficiency is improved, and measurement precision is also improved greatly.

The invention provides a novel bridge safety detection device, and relates to the technical field of safety detection. A monitoring in-place station is connected with a monitoring data center through a GPRS wireless communication transmission device. The monitoring in-place station comprises an acquisition water flow sensor, a supporting vibration string sensor, a voltage current type sensor, a pulse type sensor, and a single-chip microcomputer. The acquisition water flow sensor, the supporting vibration string sensor, the voltage current type sensor, and the pulse type sensor are connected with the single-chip microcomputer through data lines. The device is simple in structure, and can rapidly and automatically acquire, store, transmit, and manage data in real time, and safety conditions of a bridge can be observed at any time, thereby preventing unnecessary negligence, reducing potential safety hazard, and reducing risk and economical loss. The device has profound significance for social stability.

The invention relates to a system for picking up IPv6 data at high speed and quickly storing, and a relative method. Wherein, it comprises an initialization module; an IPv6 data picking up module for real-time picking up the IPv4 / v6 dataflow through detecting interface, while the picked data can be used in following protocol analysis; IPv6 protocol analyze module for processing the picked IPc4 / v6 data to match the picked data from outer to inner with variable protocols, to analyze the protocols of all layers, to be stored in memory unit set for different protocols. The invention uses bidirectional linkage list technique to quickly write and discompose the picked IPv6 / v4 data pack in memory queue. And it uses multi-process technique to pick and record high-speed data at IPv6 / v4 network, to be analyzed and stored.

Provided is a technology for analyzing user electricity data based on noninvasive intelligent monitoring. The technology adopts a data collection module, a data preprocessing module, a data communication module, an event detecting module and a load mark identification module to achieve the monitoring and analysis of the user electricity data, the data collection module is used for collecting the user electricity data, and the data preprocessing module is used for preprocessing an input signal and transmitting the input signal to a cloud service platform by the data communication module througha 5G network; the cloud service platform analyzes and saves the received data through the event detecting module, the load mark identification module analyzes an electrical load mark of the power user saved in the event detecting module, a model is built, the source of each mark feature sample is identified through a method of machine learning, and the monitoring and analysis of the user electricity data are achieved ultimately. The technology for analyzing the user electricity data based on the noninvasive intelligent monitoring has the advantages that effective technical support for the control of mutual energy flow between power users and electrical network enterprises, and the technology has a good application prospect.

The invention discloses a rock image weathering degree detection method and system based on deep learning. A neural network image recognition technology based on deep learning is applied to automaticdetection of the rock weathering degree, and the deep learning network is enabled to automatically output a rock weathering degree detection result by constructing and training the deep learning network. The automatic identification technology has relatively high accuracy; errors existing in traditional manual judgment of the rock weathering degree are reduced, the rock image recognition efficiency and accuracy are improved, and therefore the engineering labor cost is saved, real-time recognition and classification can be achieved, information can be input in time, the processing progress of field problems can be effectively tracked, image data are stored and shared on a platform, and an image classification management system is optimized.

The invention discloses a data storage method and system, and relates to the field of data storage. According to the method, data and index records are written according to the storage characteristicsof an SMR disk and a front-to-back order of storage space in Zone, and are respectively stored according to the characteristics of a Key-Value database, combination of the Key-Value database and theSMR disk is realized, the advantages of high storage density and high storage quantity of the SMR disk can be exerted, the characteristic of convenient reading of the Key-Value database can also be effectively utilized, and the data input by a user are stored in real time. In addition, Zone of which idle storage space is greater than data length is selected to store the data of each time of writing, fragmentation of the data is avoided, and reading efficiency of the data is improved.

The invention discloses an apparatus for acquiring and storing high speed data in real time. The apparatus comprises a high speed digital data acquisition module (1) and a high speed data storage and control module (2), wherein the high speed digital data acquisition module (1) and the high speed data storage and control module (2) are connected through a PCI-E (Peripheral Component Interconnect-Express) bus, the high speed digital data acquisition module (1) is used for receiving external low speed and high speed digital signals, processing the received digital signals and transmitting the processed data to the PCI- E bus inside the apparatus, and the high speed data storage and control module (2) stores the data into a disk array to reach high speed, real time and safe data storage. Meanwhile, data playback is also supported, thus a user can access the data in the disk array through the high speed data storage and control module.

The invention provides a wireless measuring device for internal combustion engine piston temperature, which comprises a resistor temperature detector, a Teflon wire, a wireless transmission module, a receiving antenna, a data receiving module, and a computer. The wireless transmission module adopts high temperature epoxy resin that is adhered to the connection rod body and the switch is connected with the wireless transmission module. The receiving antenna penetrates into the engine cylinder through the signal hole processed at the engine oil bottom housing. The receiving antenna is connected with the data receiving module. The data receiving module is connected with the computer. The wireless measuring method and the device for internal combustion engine piston temperature proposed by the invention are based on Bluetooth transmission, which increases the measuring reliability and reduces the measuring difficulty. Properly designed, the device is practical in use and of great application value. Suitable for the real-time measurement of the temperature on the surface of the piston, the device can be applied conveniently to the performance estimation and optimization under the different working conditions of the piston.

The invention relates to a structure intensity testing system based on an intelligent wireless sensor network, which comprises a monitoring terminal, an intensity testing sensor array arranged in a structure to be tested, a wireless sensor terminal node, a wireless routing node and a wireless base station node, wherein, the wireless sensor terminal node collects structure response output of the intensity testing sensor array under each loading grade, and transmits the structure response output by the wireless sensor network through the wireless routing node and the wireless base station node in sequence to the monitoring terminal. The invention also relates to a method for the system to carry out communication, data collection and visualization. The system and method of the invention overcomes the problems that the existing structure intensity testing systems have complex leads, big added weight, low intellectualization and networking degree, etc., can effectively reduce the number of the leads in a static force / fatigue testing system, improve testing precision and realize real-time and simultaneous collection, transmission, display and storage of the structural test data, and has the advantages of intellectualization, high efficiency and low cost.

The invention provides a crop phenotype field high-flux active measuring apparatus and method. Field crops are planted at fixed points, and plant coordinates are recorded at the seedling period of the crops and are stored in a host computer processing module; in a crop maturation period, a PLC module controls a dark box to move somewhere above each crop through position information stored in the host computer processing module; when the dark box moves somewhere above each crop, the dark box moves downwards to cover the plant; manipulator modules move and respectively separate the crops to the two sides of the dark box, the dark box descends and shoots pictures through an imaging sensor, and the pictures are transmitted back to the host computer processing module after imaging; and the host computer processing module processes and analyzes the transmitted pictures so as to obtain and store field crop phenotype parameters. According to the invention, measurement realized by the apparatus and method belongs to active measurement. The apparatus and method have the advantages of high flux, high precision and high efficiency, thereby having wide application prospect.

The invention discloses an on-line measuring system and method for the concentration of NO3 free radicals in the atmosphere based on broadband cavity-enhanced absorption spectroscopy. The on-line measuring system at least comprises a light source controller, a light source, a first convex lens, a second convex lens, a pair of high-reflectivity lenses, a detection cavity, an optical fiber, a spectrometer and a zero-point generator. According to the invention, the pair of high-reflectivity lenses compose a resonant cavity, a LED is used as the light source, and the spectrometer is used as a detector; dynamic zero points are employed for elimination of the influence of other absorbed components on the measurement of NO3 free radicals, so on-line accurate measurement of the NO3 free radicals in the atmosphere is realized. The on-line measuring system and method provided by the invention have the characteristics of low detection limit, high sensitivity, high temporal-spatial resolution, high stability and low cost.

The invention provides a smart peephole and a smart peephole control system. The smart peephole comprises a camera monitoring component and a control display component; the camera monitoring component is used for detecting whether a visitor is outside a door and recording related information, the control display component is used for storing and analyzing data information recorded and monitored by the camera monitoring component, and controlling the camera monitoring component in a smart manner; the smart peephole control system comprises a smart peephole, a smart terminal and a gateway, and further comprises a cloud for receiving and storing operating data of the smart peephole fed back by the gateway. A smart control assembly in the smart peephole is capable of controlling the camera monitoring component and the control display component, and the outdoor data information can be recorded and monitored through the camera monitoring component; furthermore, the cloud in the smart control system is capable of storing the data recorded in real time.

The invention discloses an audio tampering detection device based on time-frequency domain joint features. The device includes an RFID authentication module mainly used for identity authentication; a signal transmission module mainly used for communication with the RFID authentication module and a signal processing module; a signal processing module used for recording device recognition and voice tempering detection on received voice information, wherein voice tempering detection is mainly realized through a tempering detection algorithm of zero insertion for zero crossing rate, EM (Expectation Maximization) algorithm-based resampling voice tempering detection and LPC model-based initiative forensicvoice tempering detection; and recording device recognition is realized through BP neural network-based multimedia mobile equipment audio tempering recognition and detection. The device provided by the invention can store frequency spectruminformation in real time and has distinctive advantages in aspects of interference rejection, multi-band frequency and precision. The device provided by the invention has high economical efficiency, reliability and practical applicability.

The invention discloses an on-site mixed explosive charging vehicle monitoring device and an on-site mixed explosive charging vehicle monitoring method and belongs to the technical field of industrial control. The monitoring device comprises a microcontroller, a mainboard, a camera, a wireless communication module and a wireless communication antenna, wherein the mainboard reads programmable logic controller (PLC) charging parameters, generates a project file, controls the explosive preparing process and starts the camera; video images provided by the PLC charging parameters and the camera are uploaded through the wireless communication module and the wireless communication antenna in turn; and PLC production data generated in the explosive preparing process is analyzed by the microcontroller, transmitted to the mainboard and uploaded through the wireless communication module and the wireless communication antenna in turn. In addition, global position system (GPS) data provided by a GPS module is resolved by the microcontroller, transmitted to the mainboard and uploaded through the wireless communication module and the wireless communication antenna in turn. By the device, the mixed explosive charging vehicle construction process is remotely monitored and accurately positioned.

The invention discloses a building project scene type evidence storage non-tampering method based on a block chain technology. The method comprises the following steps: step 1, carrying out authoritydivision and user authentication; step 2, accessing a hardware device of an operation site to the block chain; step 3, predefining various initial parameters about projects, tasks, logs and problem flows in engineering, and initializing a constructional engineering flow into the intelligent contract; step 4, performing data entry operation on the data representing the condition of the operation site through mobile equipment or mobile software; and step 5, performing data verification and uploading. The invention further discloses a corresponding system, computing equipment and a computer readable storage medium, and it can be guaranteed that the user truly stores and records information in real time according to project requirements in a specific time period and in a specific scene according to permission in a non-tamperable mode. Meanwhile, by utilizing the traceability characteristic of the block chain technology, the situation of user data uploading can be reviewed, and the projectprogress can be evaluated.

The invention discloses a dry-type transformer partial discharge on-line monitoring device and a positioning method of the monitoring device, wherein a first ultrasonic transducer, a second ultrasonic transducer, a third ultrasonic transducer and a fourth ultrasonic transducer are respectively used for acquiring four ultrasonic signals in a partial discharge signal, and transmitting the ultrasonic signals to a signal processing unit; an ultrahigh frequency transducer is used for acquiring an ultrahigh frequency signal in the partial discharge signal, and transmitting the ultrahigh frequency signal to the signal processing unit; the signal processing unit is used for carrying out amplification and filtering processing on four ultrasonic signals and one ultrahigh frequency signal respectively, and transmitting the processed four ultrasonic signals and one ultrahigh frequency signal to a data acquisition card; the processed four ultrasonic signals and one ultrahigh frequency signal are respectively converted into four ultrasonic digital signals and one ultrahigh frequency digital signal and are stored up; after a trigger requirement is achieved, the four ultrasonic digital signals or the four ultrasonic digital signals and one ultrahigh frequency digital signal are transmitted to a computer; and the computer calculates so as to position a partial discharge position.

The invention provides a radio acceleration strain temperature data collecting system based on solar energy for realizing the collection of acceleration, temperature and strain data, the autonomous power supply of nodes through a solar battery and a lithium ion battery, data radio transmission and multi-mode with one station. The system consists of a sensor node and a station, and the sensor nodeis connected with the station by radio. A power source module is respectively connected with a strain sensor, a strain signal amplifying circuit, an analog-to-digital converter, a node microprocessor,a node radio module, an acceleration sensor and a temperature sensor; the station power source is respectively connected with a station radio module, a station microprocessor, a station serial port communication module and a PC control processing terminal. The invention provides a control and data processing program of a computer terminal with simple operation so as to realize real-time data storage. The node can supply power autonomously for a long time in the sun with stable operation, and continuously collect data and transmit the data to the computer terminal in real time.

The invention provides a bridge safety condition detector and relates to the technical field of safety detection. A monitoring field station is connected with a monitoring data center through a GPRS wireless communication transmission device. The monitoring field station comprises a water flow acquisition sensor, a support vibration string type sensor, a voltage and current sensor, a pulse sensor and a single chip microcomputer. The water flow acquisition sensor, the support vibration string type sensor, the voltage and current sensor and the pulse sensor are connected with the single chip microcomputer through data lines. The novel bridge safety detector has a simple structure and can rapidly and automatically acquire acquisition, storage, transmission and management data in real time, the safety status of a bridge can be observed at any time, unnecessary negligence is avoided, security risks are reduced, risk and economic loss are reduced, and the device has a profound significance to social stability.

The present invention discloses a migration balancing policy based electricity-consuming information distributed file storage method and apparatus. The method comprises: a data acquisition module analyzing original data frames to obtain original data, storing the original data into a local disk module in the form of a file, and uploading the original data frames to a relational database and a MongoDB database; detecting information of the file in the local disk module, and selecting whether to upload the file to a data storage module; the MongoDB database acquiring a node load where a slice is located in mongos by means of routing and by using a migration balancing policy to implement balancing from two aspects: a data volume and a load; a big data management engine regularly monitoring file information that is not subjected to data saving calculation, extracting the file from the MongoDB database, and using time as a tag; converting file data extracted from the MongoDB database into data character string streams, and carrying out calculation to obtain service data; and finally, performing data persistence. Therefore, efficient storage of electricity-consuming information big data is implemented, and electricity-consuming big data storage capacity and storage rate demands of an electricity-consuming acquisition system are met.

The invention discloses a transistor-based radiation effect on-line test system and a test method thereof. The test system comprises a test circuit, an industrial personal computer, a shielding cableand an irradiation board. Based on the linear relation between the direct-current gain of a transistor and the injection amount of illuminated neutrons, the transistor is adopted as an irradiation effect parameter measurement detector, and then an irradiation effect parameter online test system is built. Based on a CFBR-II reactor and a cobalt source, the test system is verified by respectively performing the injury heterogeneity test in transient-state and steady-state different irradiation modes and the injury equivalence test for different irradiation sequences of neutron and gamma. In thisway, the real-time measurement of sample effect parameters under the transient-state irradiation condition and the steady-state irradiation condition is realized. According to the invention, the testsystem fully realizes the advantages of a virtual instrument, such as flexibility, universality, expandability, powerful software function and the like. The number of peripheral hardware is reduced as much as possible. On the premise that hardware equipment and the wire connecting condition are not changed at all, the drawing of various transistor characteristic curves and the testing of parameters can be realized only through changing the software program.

A traction and brake performance integrated test system includes a data acquisition device and a data processing terminal, and also includes a sensor group. The data acquisition device comprises a sensor data acquisition device for acquiring sensor group data and a thermocouple data acquisition device for acquiring thermocouple data. The data processing terminal includes a data interface card that communicates with the sensor data acquisition device for acquiring feedback data information of the sensor group and receiving a synchronization command signal for controlling the operation of the sensor group; a vehicle signal analysis card that is connected with a train network bus for obtaining a train command signal; and a main controller that obtains data information from the data interface card and the vehicle signal analysis card, and calculates test indicators. The invention provides the integrated hardware and software test platform which does not rely on built-in sensors of a traction system and a brake system, has third party data acquisition ability, realizes accurate, objective and synchronous measurement, and acquires data in strict accordance with the standard test method and calculation method.