50results about How to "Real-time access" patented technology

The invention discloses a natural gas odorant concentration intelligent detection device suitable for remote monitoring, and belongs to the field of natural gas safety monitoring, and the natural gas odorant concentration intelligent detection device comprises an odorant concentration sensor array used for detecting original concentration data of a natural gas odorant; the cross validation module is used for carrying out fusion processing on the original concentration data corresponding to the various sensors respectively to obtain calibrated odorant concentration detection data; the pipeline monitoring module is used for obtaining pipeline operation data; the communication module is connected with the cross validation module, the pipeline monitoring module and the remote monitoring module; the remote monitoring module is used for determining an odorant concentration predicted value based on integrated multiple models according to the original concentration data and the pipeline operation data corresponding to the multiple sensors respectively; and obtaining a final odorant concentration confirmation result according to the calibrated odorant concentration detection data and the odorant concentration predicted value. According to the invention, high-precision, real-time and reliable remote intelligent monitoring of the concentration of the natural gas odorant is realized.

The invention discloses a goods yard container positioning and identification system based on Beidou RTK positioning, the management level of a container goods yard is remarkably improved by applying Beidou RTK positioning, container number identification and visual analysis modules, the accurate position information of a gantry crane or a reach stacker is obtained in real time through the Beidou RTK technology, the positioning accuracy reaches the sub-meter level, and the positioning accuracy reaches the sub-meter level. The container number identification module uses a camera and a machine learning technology to automatically identify container numbers and replace manual input, the accuracy and efficiency of data entry are improved, informatization management of containers is realized, and the visual analysis module draws a goods allocation electronic map, so that the management efficiency of the containers is improved. Information such as the position, the container number, the size and the weight of the container is visually displayed, the state of the container position is monitored in real time, managers are assisted to optimize operation plans, and problems are found and solved in time.

The utility model relates to a contact distribution force information detection system for an automobile crash dummy model. The system comprises a dummy model, and flexible touch sensors arranged at the head, neck, chest, upper limbs, hip, lower limbs and / or feet of the dummy model. The flexible touch sensor comprises an upper electrode layer, a lower electrode layer, an anti-tear flexible plastic packaging layer and an ion fiber layer placed between the upper electrode layer and the lower electrode layer. And the tear-resistant flexible plastic package layer wraps and packages the upper and lower electrode layers and the ion fiber layer. The whole body of the crash test model dummy is full of the flexible touch sensors, contact distribution force information of the crash test model dummy can be directly obtained, the defect that the current crash dummy lacks the contact distribution force information is overcome, and the crash test model dummy is low in cost and easy to operate.

The invention discloses a dynamic water affair monitoring system and method based on digital twinning, and belongs to the technical field of water affair monitoring. The method comprises the following steps: acquiring equipment working environment data, performance data of each piece of monitoring equipment and water affair data, wherein the water affair data comprises hydrological data and water quality data; performing comprehensive analysis according to the equipment working environment data to obtain an equipment working environment evaluation value, performing comprehensive analysis according to the performance data of each piece of monitoring equipment to obtain a performance evaluation value of each piece of monitoring equipment, and performing comprehensive analysis according to the equipment working environment evaluation value and the performance evaluation value of each piece of monitoring equipment to obtain a state evaluation value of each piece of monitoring equipment; performing evaluation feedback according to the state evaluation value of each monitoring device; performing comprehensive analysis according to the water quality data to obtain a water quality evaluation value, finally performing comprehensive analysis according to the water quality evaluation value, the equipment working environment evaluation value and the hydrological data to obtain a water affair state evaluation value, and performing evaluation feedback according to the water affair state evaluation value.

The invention discloses an operation method of a high-voltage transformer substation tubular bus drainage wire detaching and erecting robot, and relates to the technical field of power construction. Comprising the steps of obtaining parameter data outside a tubular busbar drainage wire; a positioning model is constructed, the positioning model is based on the parameter data, an operation plan of the disassembly and assembly robot is output, and the operation plan comprises an operation position, an operation path and operation time; constructing a detection model, and obtaining environment data influencing the operation of the dismounting and building robot outside the tubular busbar drainage wire based on the detection model and the parameter data; obtaining attribute data of the disassembly and assembly robot; and constructing an influence discrimination model. According to the method, the attribute data and the environment data are efficiently matched through the feature tree diagram to form an accurate mapping relation, so that it is ensured that the disassembly and assembly robot can accurately recognize and understand the working environment in the working process, the data processing efficiency is improved, and the adaptability of the robot to the working environment is further enhanced.

The invention relates to the technical field of biological imaging, in particular to a three-dimensional living body imaging system and method, and the system comprises an excitation device which is used for emitting a first parallel Gaussian light spot; the near-infrared structured light generation device is used for modulating the first parallel Gaussian light spot into first dynamic structured light; the first deformable mirror is used for reflecting a structural fluorescence signal in a living body to be imaged to the first dichroscope; the first dichroscope is used for dividing the structure fluorescence signal, reflected by the first deformable mirror, in the to-be-imaged living body into a first path of light and a second path of light; the near-infrared adaptive optical device is used for obtaining aberration according to the first path of light and a specified light structure; the imaging device is used for acquiring a two-dimensional image corresponding to the living body to be imaged based on the second path of light; and the three-dimensional reconstruction device is used for reconstructing the two-dimensional image into a three-dimensional model and controlling the first deformable mirror according to the aberration, so that the aberration between the first path of light and the specified light structure is reduced within a preset range.

The invention discloses an intelligent intercepting well cloud model control method, and relates to the technical field of sewage treatment and drainage, and the control method utilizes an intelligent intercepting well cloud model control system to realize remote monitoring and intelligent control of the running state of an intercepting well. The system comprises a sensing acquisition unit, a communication unit, a cloud processing unit, a control unit and a remote server, and the cloud processing unit is used for receiving the monitoring data, selecting a corresponding operation mode according to a user demand, processing the monitoring data and generating a corresponding control instruction. According to the invention, various monitoring data in the catch basin can be accurately acquired in real time through the sensing acquisition unit, and an accurate data decision basis is provided for the cloud processing unit, so that the cloud processing unit can intelligently select an operation mode according to user requirements and environmental changes, and the safety of the catch basin is improved. Therefore, it is ensured that the intercepting well can still operate efficiently and stably under the complex and changeable working conditions.

The invention discloses a temperature control system for an inductor production line, which comprises a PLC (Programmable Logic Controller) part, a touch screen part, a temperature control part and a power switch part, and is characterized in that one side of the PLC part is connected with the touch screen part through an RS-485 communication interface; one side of the PLC part is connected with the temperature control part through an RS-485 communication interface, and the power switch part is connected with the PLC part, the touch screen part and the temperature control part. According to the temperature control system for the inductor production line, temperature control is accurate, the high-precision temperature sensor is adopted, and it is ensured that temperature data are accurately obtained in real time. A PID control algorithm and a temperature controller are used for processing temperature data in real time, operation is easy and convenient, a touch screen provides a visual man-machine interaction interface, heating and cooling equipment is automatically adjusted according to the preset temperature, manual intervention is reduced, production efficiency is improved, and energy consumption is reduced.

The invention relates to an anti-interference wireless passive temperature measurement system based on a radio frequency identification (RFID) technology. The anti-interference wireless passive temperature measurement system comprises a temperature sensor and a reader antenna. The temperature sensor comprises a sensor antenna, and the sensor antenna is a linearly polarized antenna. The reader antenna is a circularly polarized antenna and is in communication connection with the temperature sensor. The sensor antenna and the reader antenna transmit and receive signals by using broadband. According to the anti-interference wireless passive temperature measurement system, the temperature data of the detected object in the operation process can be accurately monitored and obtained in real time, the frequency band requirements of different areas can be met, the influence of frequency band deviation caused by the environment can be reduced by adopting broadband signal receiving and transmitting, and the anti-interference wireless passive temperature measurement system has the advantages of being simple in structure and convenient to use. The antenna is not sensitive to the direction of the position where the temperature sensor is placed, and high gain of the reader antenna is achieved.

This invention discloses a product lifecycle carbon footprint assessment system and implementation method based on a cloud platform, involving the fields of cloud computing and big data. It includes: a supply chain network cloud platform: serving as a cloud platform directly connected to enterprise users, covering supply chain enterprises corresponding to the product lifecycle, from raw material acquisition, component manufacturing, complete machine assembly, product distribution, product use, and recycling; composed of a front-end user UI, external API interfaces, and a back-end data processing and analysis unit; a lifecycle assessment cloud platform: realizing functions such as data management, retrieval, loading, data mining, and analysis, performing carbon footprint analysis and calculation, constructing a product lifecycle inventory database and realizing data storage and retrieval, and reviewing and arbitrating the results of calculated data; and cloud platform application enterprises: accessing the supply chain network cloud platform user UI through the cloud platform's user and management interfaces, enabling operations such as registration, request application, data interaction, and data storage.

The invention discloses a test device of a vehicle-mounted Ethernet. The test equipment for the vehicle-mounted Ethernet is combined with the FPGA, the PHY chip and the vehicle-mounted Ethernet interface, the FPGA is connected with the PHY chip through the automobile-level wire-to-wire connector, and the PHY chip is connected with the vehicle-mounted Ethernet interface, so that the equipment can acquire network data of vehicle-mounted network connection equipment, and the network data can be transmitted to the vehicle-mounted Ethernet interface through the vehicle-mounted Ethernet interface. And the network data format is converted into a data format suitable for FPGA processing through the PHY chip, and finally the FPGA is utilized to calculate the network performance index of the vehicle-mounted network connection equipment. According to the vehicle-mounted network connection equipment, the FPGA, the PHY and the vehicle-mounted Ethernet interface are combined, the functions of data acquisition, format conversion and performance index calculation of the vehicle-mounted network connection equipment are realized through the components, and convenient and efficient test equipment is provided for evaluating the performance of a vehicle-mounted network, so that normal operation and safety of a vehicle system are ensured.

The present application provides a kind of low load under coal mill outlet wind powder temperature regulating system and method, including temperature sensor group, flow sensor, coal dust concentration sensor, temperature regulating device and control unit, wherein: temperature sensor group is used to measure the wind powder temperature of different positions of coal mill outlet pipeline;Flow sensor is used to measure the wind powder flow of different positions of coal mill outlet pipeline;Coal dust concentration sensor is used to detect the coal dust concentration in the coal mill outlet pipeline;Temperature regulating device is used to adjust the wind powder temperature of coal mill outlet pipeline;Control unit is used to receive the signal of temperature sensor group, flow sensor, coal dust concentration sensor, calculate temperature regulating amount and output signal to temperature regulating device to the wind powder temperature of coal mill outlet.The present application ensures that the wind powder temperature of coal mill outlet is stable near the target value, improves the combustion efficiency, and ensures the stable operation of the entire thermal system.

The invention, which relates to the technical field of evaporation boat temperature control, discloses an evaporation boat control system comprising an evaporation boat temperature real-time monitoring device, a control system, an evaporation boat temperature adjusting system and an operation interface. The evaporation boat temperature real-time monitoring device is used for monitoring the temperature of the evaporation boat in real time; the control system is used for calculating and analyzing the temperature collected by the evaporation boat temperature real-time monitoring device and issuing a temperature adjusting instruction to the evaporation boat temperature adjusting system according to the analysis condition. The evaporation boat temperature adjusting system is used for adjusting the current and the voltage according to the received instruction; and the operation interface is used for performing intervention on system errors by a worker. According to the invention, the situations that the human body is harmed when the evaporation state is observed by naked eyes and the aluminum liquid in the evaporation boat is easy to splash due to too fast temperature change in the prior art can be effectively improved.

The embodiment of the present application provides a disastrous weather prediction method and system based on satellite-ground collaboration, which converts the collaborative observation data through a climate factor conversion unit to generate a climate factor steering vector, and blends the climate factor steering vector with meteorological activity information to generate a blended steering vector, which can achieve the organic integration of data from different sources and fully explore the complementarity and correlation between them. The disastrous weather vector of the reference satellite-ground monitoring station is parsed from the blended steering vector according to the disastrous vector positioning unit, which can accurately identify and locate the key features of the disastrous weather, optimize the network configuration parameters in the disastrous weather prediction network according to the disastrous weather vector, and generate a deployable disastrous weather prediction network, which can significantly improve the performance and accuracy of the disastrous weather prediction network and better adapt to various complex and changeable disastrous weather conditions.

The invention discloses a road and bridge construction monitoring method and system based on deep learning and BIM, and relates to the technical field of road and bridge construction monitoring, and the method comprises the steps: obtaining an initial position and a current position of a current road and bridge structure monitoring point through a three-dimensional model and a deep learning algorithm of a road and bridge project established through a BIM technology, and a data collection module; the data monitoring and processing module is used for sequentially calculating and outputting a displacement variation KW, a stress value YL at a monitoring point and a health index JK, carrying out real-time early warning and monitoring on a current road and bridge structure based on the health index JK and an early warning condition set by the early warning module, and carrying out monitoring and adjustment by using the system configuration and optimization module according to an early warning result. By introducing an advanced monitoring technology and an intelligent analysis means, the problems and defects existing in the prior art are effectively solved, the monitoring precision and efficiency are improved, real-time early warning and decision support are achieved, and a powerful guarantee is provided for the safety and durability of road and bridge engineering.

The utility model discloses a motor tester and system thereof relates to motor performance test technical field, wherein, motor tester includes core, controllable load, torsion axle and position detection subassembly, the core includes transmission assembly, and transmission assembly has transmission end and is used for connecting the test calibration end of the motor of measurement, controllable load is used for providing preset load torque, torsion axle is driven connection with controllable load of transmission end, position detection subassembly includes position feedback spare and with position feedback spare connection's position detection spare, and position feedback spare is driven connection with transmission assembly, and position detection spare is used for detecting the rotation position or moving position of position feedback spare, to obtain the rotation angle of motor of measurement, the utility model provides technical scheme can promote motor rotation angle measurement's precision and ability.

The invention discloses an in-situ characterization method of high-temperature interface fracture toughness of a thermal barrier coating. A metal test piece with a thermal barrier coating is used as a sample to be tested. NiAl is sprayed on the surface of a ceramic layer in the thermal barrier coating as a buffer layer, and then a reinforcement layer is sprayed to form a mixed reinforcement layer with the buffer layer. A three-point bending device with an in-situ observation function of a digital image correlation method is used to perform a three-point bending experiment on the sample to be tested at 1000-1400°C, and the three-point bending process is recorded in real time. The strain cloud map of the observation area is obtained by the digital image correlation method, and parameters are obtained from the strain cloud map to calculate the interface critical energy release rate and stress intensity factor of the three-point bending experiment. Both are proportional to the high-temperature interface fracture toughness of the thermal barrier coating, so that the in-situ characterization of the interface fracture toughness of the thermal barrier coating can be achieved in the high-temperature environment where the thermal barrier coating is actually in service, and the test data can be obtained in real time and accurately, and the test cycle is short.

The invention provides a detection chip and a method for monitoring the healing state of a chronic wound in real time in vacuum sealing drainage. The preparation method comprises the following steps: S1, providing plasma nanoparticles; s2, preparing a PDMS mold on the silicon template with the micro-channel array, enabling the PDMS mold to be in close contact with a target base material, dripping plasma nanoparticles along the open end of the PDMS mold to obtain an assembly, and volatilizing a solvent in the assembly to obtain the SERS substrate; and S3, modifying the surface of the SERS substrate with a biological recognition element to prepare the detection chip. The detection chip provided by the invention has the characteristics of high sensitivity, good uniformity and stability and the like, and can effectively enhance the Raman signal of the physiological marker. The detection chip is detected by using a Raman spectrometer, so that the inflammation state and the internal potential infection condition information of the chronic wound surface difficult to heal can be accurately obtained in real time on the premise of not destroying the completeness of the closed dressing adopted by the negative pressure closed drainage, and support is provided for effective monitoring of the chronic wound surface.

The utility model relates to the technical field of drinking water equipment, in particular to a refrigeration assembly and a water dispenser, which comprise a liquid flowing pipeline, the liquid flowing pipeline is provided with a fluid channel, the refrigeration assembly comprises a shell and a refrigeration piece installed with the shell, the shell is provided with a containing cavity, at least part of the liquid flowing pipeline is located in the containing cavity, and the refrigeration piece is located in the containing cavity. The containing cavity is provided with a phase change energy storage material, and the phase change energy storage material wraps at least part, located in the containing cavity, of the liquid flowing pipeline. According to the device, the cooling capacity generated by the refrigerating part is stored through the phase change energy storage material, when cold water needs to be drunk and liquid flows through the liquid flowing pipeline, real-time heat exchange with the phase change energy storage material after cold storage can be achieved, the liquid in the liquid flowing pipeline can be cooled in real time, in this way, people can obtain cold water at any time, and the cold water obtaining mode is more convenient.

The invention provides an endurance mileage control method and device of a new energy ship, electronic equipment and a medium, and relates to the field of new energy ships, the method comprises the following steps: determining discharge power according to the obtained transmission efficiency, battery capacity and residual electric quantity of a target ship; determining the total power according to the accessory power consumption, the battery loss power and the driving loss power of the target ship; determining the continuation time based on the discharge power and the total power; calculating the continuation time and the ship navigational speed to obtain the continuation mileage; wherein the ship navigational speed is determined according to the preset time interval and the corresponding change mileage. According to the method, the endurance mileage of the target ship can be accurately obtained in real time by combining a plurality of parameters of the target ship.

The invention discloses a vehicle pose detection method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring an initial position image and a target position image of a target vehicle; the initial position image and the target position image are detected through a vehicle pose detection model, a detection result of the vehicle pose is obtained, the detection result is used for determining change information of the vehicle pose, and the vehicle pose detection model determines the detection result based on a clustering result of the feature vectors. The feature vector is determined based on the initial position image and the target position image. The technical problem of low vehicle pose detection accuracy and efficiency caused by low registration precision of the initial position image and the target position image of the vehicle in the prior art is solved.

The invention provides a curtain wall sealing performance detection method and device, electronic equipment and a storage medium, and relates to the technical field of curtain wall detection, and the method comprises the steps: obtaining a target air pressure value and a target temperature and humidity value at a current moment under the condition that a detection device is attached to a connection part of a curtain wall, the target air pressure value is air pressure data, detected by an air pressure sensor, of the joint of the curtain wall, the target temperature and humidity value is temperature and humidity data, detected by a temperature and humidity sensor, of the joint of the curtain wall, and the detection device comprises the air pressure sensor and the temperature and humidity sensor; correcting the target air pressure value according to the target temperature and humidity value to obtain a corrected air pressure value; and detecting the sealing performance of the joint of the curtain wall according to the corrected air pressure value to obtain a target detection result. By implementing the technical scheme provided by the invention, the effect of improving the detection efficiency is achieved.

The invention provides a seawater sample test calibration system, which comprises a sample storage module, a probe module, a state control module and a demodulation storage module, the sample storage module is used for storing seawater samples with different salinity in the seawater sample testing process; the state control module is used for controlling the temperature change and the pressure change of the sample storage module; the probe module is used for measuring temperature data of the state control module and acquiring spectral wavelength data of the sample storage module; and the demodulation storage module is used for demodulating and storing the temperature data, the spectral wavelength data, the pressure data of the sample storage module and the absolute salinity data of the seawater sample. The invention also provides a seawater sample test calibration method.

The application discloses a kind of indoor concealed listening system based on DAS, belong to optical fiber acoustic wave sensing technical field, including sequentially connected DAS optical path, signal acquisition demodulation module integrated in FPGA end and noise reduction module integrated in PC end, DAS optical path is coupled with the reference light after attenuator with backscattering light of acoustic wave information, signal acquisition demodulation module is used to receive the electrical signal after AD module, IQ demodulation module, phase difference module and phase unwrapping module to obtain amplitude data and real phase data, noise reduction module is used to audio data noise reduction enhancement, realize sound play and phase diagram, spectrum diagram display;The scheme provided by the application effectively improves the definition of system sensing sound restoration, can acquire and process sound signal in real time, meet the application requirement of indoor concealed listening in actual scene, provide reliable support for important place safety monitoring, ruins rescue and the like.

The invention provides a power transmission and distribution large model dynamic updating method based on a plug-in knowledge base, and the method comprises the following steps: S1, obtaining a knowledge document of a power transmission and distribution field, and constructing the plug-in knowledge base according to the knowledge document of the power transmission and distribution field; s2, obtaining a query problem initiated by a user, and matching related knowledge fragments from the plug-in knowledge base by adopting semantic retrieval according to the query problem; s3, combining the knowledge fragments with the user query questions to form cue words, inputting the cue words into the power transmission and distribution large language model, and outputting an enhanced answer. Related knowledge fragments are accurately matched from the plug-in knowledge base through semantic retrieval and serve as a context basis for generating the answer; and the professional accuracy and credibility of answering are obviously improved.

The invention relates to the technical field of cigar tobacco air-curing, and discloses cigar air-curing environment monitoring and automatic control equipment which comprises an automatic air-curing rack, an environment monitoring master control box is arranged on one side of the bottom of the automatic air-curing rack, a plurality of extension arms are arranged on the side wall of the automatic air-curing rack, and auxiliary boxes are arranged on the rear walls of the extension arms. A plurality of leaf swinging mechanisms used for hanging tobacco leaves are arranged on the inner sides of the extension arms, a plurality of energy supply mechanisms corresponding to the leaf swinging mechanisms one to one are arranged in the auxiliary box, and the energy supply mechanisms are connected with the environment monitoring master control box through wires and controlled by the environment monitoring master control box. The moisture content information in the tobacco leaves can be accurately obtained in real time, and the accurate moisture monitoring enables an operator to adjust the airing condition in time, so that the tobacco leaves are ensured to be dried in the optimal state, and the quality problem caused by excessive or insufficient drying is avoided.

The invention provides a cloud native database backup and recovery method and device, electronic equipment and a medium, and belongs to the technical field of databases, the method comprises the steps of generating a log event based on a data write-in statement, and writing the log event into an RODO log file; writing the corresponding data page into a buffer pool based on the data writing statement; refreshing the modified data page in the buffer pool into a data file on a data persistence layer of the cloud native database, and generating a data snapshot chain for backup based on the RODO log file and the data file on the data persistence layer; and under the condition that the cloud native database needs to be recovered, recovering the cloud native database to a state when the snapshot is created based on the flash-back snapshot. According to the method, a snapshot storage technology and support of a front-mounted and rear-mounted real-time notification mechanism for database REDO log real-time disk refreshing are adopted, a database snapshot flash-back function is achieved, and the technical problem that an existing database cannot solve the real-time problem and the technical problem that restoration at a specified time point cannot be achieved at the same time is solved.

The invention discloses a vehicle-road integrated highway condition sensing method and system. The method comprises the following steps: acquiring roadside sensing data; acquiring vehicle end state data from the networked vehicle; acquiring vehicle end sensing data of the object state of the environment outside the vehicle; performing time-space synchronization processing on the roadside sensing data, the vehicle end state data and the vehicle end sensing data; performing association matching on the roadside sensing data, the vehicle end state data and the vehicle end sensing data which are subjected to time-space synchronization processing; fusing the matched roadside sensing data, the matched vehicle end state data and the matched vehicle end sensing data to generate vehicle fusion state information; and based on the vehicle fusion state information, completing early warning reminding information for the vehicle. According to the invention, based on the advanced Internet of Vehicles technology, the vehicle-side sensing positioning information is fully utilized, the roadside sensing information is combined to improve the positioning precision of the vehicle, and through complementary fusion with the roadside sensing positioning target information, the problem that the sensing road target data information of the roadside broadcast is not comprehensive is solved.

The invention provides a path planning and auxiliary decision-making method for an observation task of an underwater unmanned vehicle, which belongs to the field of underwater path planning and auxiliary decision-making and mainly comprises the following steps of: acquiring sea area information, observing task content, analyzing the task content, selecting an observation interest point access sequence and an intermediate path point, and selecting an observation interest point access sequence; calculating a global path and a local path according to the path point position, changing the observation point when the risk of the observation point position rises, and calculating that the hidden path leaves the current sea area after the observation task is completed. According to the method, compared with single-scale zoning, the dual-scale zoning can achieve the effects of improving the path accuracy and reducing the calculated amount, and compared with a single-path planning system, the dual-scale zoning can automatically make decisions, select proper interest point access paths, observation points, sea area entrances and the like and select proper evacuation opportunities; and the observation efficiency and the course safety of the unmanned underwater vehicle are improved.