28results about How to "Simple data" patented technology

The invention relates to the technical field of information retrieval, in particular to an interdisciplinary knowledge graph construction system and method, and the system comprises a relation matrix construction module which analyzes a node relation based on nodes in a knowledge graph, carries out the statistics according to an association frequency, selects interdisciplinary nodes to construct an association matrix, calculates a node fitting degree, and determines an association node set; and generating an interdisciplinary incidence relation matrix. According to the method, through correlation frequency statistics and fitting degree calculation of interdisciplinary nodes, effective construction of comprehensive correlation between the nodes, decomposition of the feature matrix and elimination of non-key feature items, the sparsity of the matrix is improved, data are more concise and clear, and through screening of low-weight elements, reservation of important node relation and further optimization of matrix feature expression, the method has the advantages of being high in robustness and high in reliability. In the coupling analysis and partitioning process of the nodes, redundant connection of the low-coupling-degree nodes is reduced, the core relation is highlighted, the node structure is recombined, and the accuracy and compactness of the multidisciplinary knowledge graph are remarkably improved.

The invention discloses a technology mining method, system and device based on a smart workshop, and relates to the technical field of artificial intelligence, and the method comprises the steps: building a data connection with a smart factory management system, and at least distributing the access and call authority of equipment operation data, production data and workshop monitoring data; defining data obtained from the smart factory management system as original data; allocating technician permissions and innovation administrator permissions to the created accounts to form technician accounts and innovation administrator accounts; executing an AI mining process on the original data; and executing a collaboration process after receiving collaboration requests initiated by the technician account and the innovation administrator account. The method and the device have the effect of improving the technical mining convenience of enterprises.

The invention relates to a digital PCR liquid drop identification method and system based on an artificial intelligence algorithm, and the method comprises the steps: generating liquid drops through a micro-fluidic chip, and placing the micro-fluidic chip in PCR equipment for PCR reaction circulation; after the PCR reaction circulation is finished, placing the micro-fluidic chip under a microscope for observation so as to capture a PCR liquid drop image; and preprocessing the PCR liquid drop image, inputting the preprocessed PCR liquid drop image into a pre-constructed liquid drop identification model, and outputting to obtain a PCR liquid drop detection result. Compared with the prior art, on one hand, the micro-fluidic chip is designed, liquid drops with stable structures and consistent sizes can be generated, on the other hand, by introducing the pre-trained artificial intelligence model, efficient identification of the number of the liquid drops and intelligent judgment of a threshold value are achieved, background noise can be effectively reduced, and meanwhile the detection accuracy is improved. And the accuracy of liquid drop identification is obviously improved.

A device for detecting hollowing of ceramic floor tiles based on vibration frequency, comprising a metal vibration transmitting circular seat located on the surface of the ceramic floor tile; a vibration measuring device is vertically connected to the edge of the upper surface of the metal vibration transmitting circular seat; a metal vibration transmitting rod is vertically fixedly connected to the center of the upper surface of the metal vibration transmitting circular seat; a metal counterweight circular plate is fixedly connected to the upper surface of the metal vibration transmitting rod; a vibration excitation device is fixedly connected to the upper surface of the metal counterweight circular plate; the longitudinal axes of the metal vibration transmitting circular seat, the metal vibration transmitting rod and the metal counterweight circular plate are coaxial. The present invention transmits the vibration generated by the vibration excitation device to the surface of the ceramic floor tile through the metal counterweight circular plate, the metal vibration transmitting rod and the metal vibration transmitting circular seat, and then reflects the metal vibration transmitting circular seat, detects the reflection frequency of the metal vibration transmitting circular seat, and determines the position where the reflection frequency is ≤ the maximum reflection frequency of the ceramic floor tile × 0.5 as the hollowing position, which has strong practicality, reasonable design and accurate detection.

A battery diagnostic apparatus according to embodiments disclosed herein can include an interface to acquire open circuit voltage (OCV) data of battery cells, and one or more processors to calculate, based on the OCV data, an OCV deviation for each of a plurality of battery cells included in a specific battery module, the OCV deviation indicating a difference between an OCV of the battery cell and an average OCV corresponding to a specific point in time, acquire a plurality of OCV moving averages by applying different weighted moving averages to the OCV deviations, and diagnose an abnormality of the battery cell based on the plurality of OCV moving averages.

A novel machine part hole depth measuring mechanism comprises a shell, a laser ranging module, a detection circuit, a magnet attraction mechanism and a display circuit. The lower end of the shell is provided with a handle; the laser ranging module, the detection circuit and the display circuit are arranged in the shell and are electrically connected; the magnet attraction mechanism comprises a fixed pipe, a movable rod and a magnet, a fixed seat is installed at the upper end of the shell, the fixed seat and the rear end of the fixed pipe are installed together, internal threads are arranged in the fixed pipe, the movable rod is provided with external threads, the rear end of the movable rod and the interior of the fixed pipe are installed together through the threads, and the rear side of the magnet is installed at the front side end of the movable rod. According to the novel depth gauge, the detected and displayed data are more visual, and the probability of scale observation errors when the vision of detection personnel is poor or the light is not good in the existing depth gauge is overcome; when the depth in the detection hole is too small, detection personnel can be visually prompted through the audible and visual alarm, and the probability of data deviation caused by personal errors of the detection personnel is reduced.

The invention relates to an online car-hailing operation event classification and dynamic emergency plan generation method, and belongs to the technical field of intelligent traffic management, and the method comprises the steps: obtaining an online car-hailing operation event, and traffic data and public opinion data corresponding to the online car-hailing operation event, the online car-hailing operation event being text information describing online car-hailing operation; performing feature recognition on the online car-hailing operation event to obtain feature information of the online car-hailing operation event; based on the feature information and a preset classification model, determining an event category of the online car-hailing operation event; based on the feature information, the traffic data, the public opinion data and a preset grading rule, determining an event grade of the online car-hailing operation event; and generating an emergency plan of the online car-hailing operation event based on the event type and the event level, and sending emergency processing information to a related department based on the emergency plan. The method and the device have the effect of improving the online car-hailing operation event processing efficiency.

The utility model discloses a box-type transformer station environment monitoring mechanism, which comprises a transformer station main body, a sliding seat in threaded connection with the outside of a screw rod, a hollow steel pipe fixedly connected with the inside of the transformer station main body, a sliding plate slidably connected with the inside of the hollow steel pipe, and a connecting rod fixedly connected between the sliding plate and the sliding seat. The inner side wall of the transformer substation body is fixedly connected with a sliding rail which is installed obliquely upwards, the interior of the sliding rail is slidably connected with a balancing weight, the upper side of the balancing weight is provided with a first sliding groove, the lower side of the hollow steel pipe is provided with a second sliding groove, a pull rope is fixedly connected between the sliding plate and the balancing weight, and the exterior of the balancing weight is fixedly connected with a temperature sensor. The device can control the temperature sensors to circularly move obliquely upwards and obliquely downwards, so that temperature dynamic monitoring of all heights in the transformer substation can be realized without installing a large number of temperature sensors, data obtained by the device is more visual than data obtained by installing a large number of temperature sensors, and workers can be more easily helped to find overheated parts.

The present invention relates to a new energy and load output scene aggregation method based on rough sets. The aggregation method includes the following steps: measuring the output of photovoltaic / wind power / load at time point b every day within a day; discretizing the data and simplifying the decision table, numbering the simplified decision table in sequence, and rotating in sequence according to the number; each rotation, analyzing the data, and sequentially finding the core attribute set of the first n-1 columns to the nth column; after n rotations, converting it into an n×n matrix, adding the corresponding values ​​of the kth row and the kth column of the matrix to obtain a 1×n matrix, and judging whether it is the same as the kth scene by the corresponding values ​​of different elements in the matrix. The present invention can obtain similar photovoltaic / wind power / load output scenes through rough sets, and only one of the same scene is taken for research, thereby streamlining data and reducing the amount of calculation, and forming a typical reduced scene set that can reflect the characteristics of historical data changes within the calculation cycle.

The application discloses a fabric material identification method based on near-infrared spectroscopy, and the method comprises the following steps: acquiring multiple near-infrared spectrum data of a fabric to be measured, performing first-order derivation processing on the data, performing normalization processing on part of wave bands of one of the first-order derivation data, performing PCA dimension reduction processing on all the first-order derivation data, combining the characteristic data obtained through the normalization processing and the dimension reduction processing, and then performing MLP classification processing to realize identification of the fabric material. The application has the characteristics of high identification accuracy, high speed, simplicity, convenience, higher intelligence, and no damage to the fabric.

The embodiment of the invention provides an equipment positioning method and device and a storage medium, and relates to the technical field of positioning. In the embodiment of the invention, the equipment positioning is carried out based on the distance semantic data, and the distance semantic data is the data indicating the relative distance relationship between the objects, so that compared with the point cloud data, the distance semantic data has the advantages that the data is much simpler, and the content is much less. Therefore, when positioning is carried out based on the distance semantic data corresponding to the current detectable area and the distance semantic data corresponding to the movable area, the calculation amount of matching calculation is far smaller than the calculation amount of the point cloud data, so that the occupation of processing resources can be reduced.

The invention discloses a bearing ring groove position testing device, which relates to the technical field of bearing ring measurement; it comprises a detection rotating member, on which a pressing and positioning portion is installed, on which an axial measuring member is installed; the axial measuring member is used to measure the clamping accuracy of the pressing and positioning portion; a groove position measuring member is installed on the detection rotating member; the groove position measuring member is used to locate the groove position measurement position; six radial measuring devices are installed on the groove position measuring member; the same spacing between the six radial measuring devices is ensured, which ensures the consistency of the measurement positions of the six grooves on the bearing ring, and can ensure the detection accuracy of the present structure; so as to solve the problem that the current bearing ring groove position testing device is not convenient for testing the consistency of the groove radius at the same point of a one-way bearing ring, and is not convenient for prompting at the corresponding groove position in time when the accuracy deviates.

The invention belongs to the technical field of oil field drilling engineering, and discloses a method for establishing an efficient rock breaking drill bit model selection model, which comprises the following steps of: performing statistical analysis and experimental data on the use condition of a drill bit in a target block drilling process to obtain a rock drillability model of a PDC (Polycrystalline Diamond Compact) drill bit; the method comprises the following steps of: disclosing a mutual relationship among drill bit variables, performing statistical interpretation, constructing a comprehensive evaluation index, comparing formation lithology analysis, and establishing a drill bit with the highest mechanical drilling speed, the highest efficiency and higher adaptability at each layer, so as to establish a drill bit model selection model.

The invention discloses a railway wagon center sill deflection deformation monitoring and correcting system and an application method thereof. The railway wagon center sill deflection deformation monitoring and correcting system comprises a platform used for placing and fixing a center sill, and the platform is provided with a laser distance monitoring mechanism and a correcting mechanism; the laser distance monitoring mechanism comprises five laser transmitters symmetrically arranged on the middle beam and five laser distance measuring receivers correspondingly arranged on the platform; the correcting mechanism comprises five groups of correcting oil cylinders which are correspondingly arranged; the monitoring and correcting method comprises the steps of monitoring by adopting the laser distance monitoring mechanism and correcting by adopting the correcting oil cylinder, wherein the monitoring is qualified by adopting standard curve range comparison. The system and the method are easy to operate, and data are visual and reliable; the real-time and comprehensive detection can be realized, one-by-one and one-by-one detection can be realized, and rapid conversion between correction and detection can be realized; the consistency of the deflection of the middle beam, the upwarp size control and the sagging size control of the traction beam is effectively ensured; in combination with an intelligent control system, the correction process can further improve the quality and efficiency of subsequent correction of the large database.

The application provides a shaving morphology detection method and system based on AI computer vision technology, and belongs to the technical field of shaving morphology detection. The method comprises the following steps: obtaining a shaving image to be detected; performing image preprocessing on the shaving image to be detected to obtain an image-preprocessed shaving image to be detected; performing shaving size detection on the image-preprocessed shaving image to be detected to obtain a size detection result of the shaving; inputting the image-preprocessed shaving image to be detected into a preset shaving shape recognition model to recognize the shape of the shaving and obtain a shape recognition result of the shaving; and determining the morphology of the shaving to be detected based on the size detection result of the shaving and the shape recognition result of the shaving. The AI intelligent vision technology is used to realize intelligent recognition and detection of the shaving morphology, the shaving morphology representation method is improved, the precision and efficiency of the shaving morphology detection are improved, and the shaving board production process can be accurately diagnosed, and the quality of the shaving board can be predicted.

The utility model relates to the technical field of reverse engineering, in particular to a reverse management integrated display device in risk management and control, which comprises a display screen. A support is fixedly connected to the bottom of the display screen, a splicing mechanism is arranged on one side of the display screen, and the first splicing display screen is rotationally connected with one side of the display screen through a hinge; through the arrangement of the splicing mechanism, the first splicing display screen, the display screen and the second splicing display screen can be subjected to splicing display, the display effect is improved, meanwhile, data can be more visual, through the basic analysis module, the model building module and the model analysis module, the risk range is defined firstly, then the risk level is evaluated, and the risk assessment efficiency is improved. And finally, carrying out empirical improvement on development training risk management and control, further quantifying from the aspect of solving the safety problem of development training, and finally, gathering risk management and control points, so that the safety management level is remarkably improved, and the aim of inhibiting casualties is fulfilled as much as possible.

The present invention discloses a video frame loss and frame supplement transmission method, system and application based on a WebRTC weak network environment. The transmission method comprises: S01, a transmitting end sends a video frame to a receiving end through a network controller; S02, the network controller counts the video frames and RCTP statistical information received by it, and updates the current network state parameters; S03, judging the network state information according to the current network state parameters and outputting it to the receiving end; S04, the receiving end receives the video frame and network state information sent by the network controller, makes a judgment according to the received video frame and network state information, and generates request change information and sends it to the transmitting end when the result meets the expectation; S05, the transmitting end receives the request change information and generates response information and sends it to the receiving end when it meets the expectation, the receiving end updates the receiving decoding parameters according to the response information and initializes the decoder, and the transmitting end updates the encoding parameters according to the change information and initializes the encoder; the implementation of this scheme is reliable, data interaction is flexible and the response is fast.

The invention belongs to the technical field of soil sample preservation, relates to a soil sample preservation method and device, and aims to provide an efficient, reliable and environment-friendly soil sample long-term preservation solution. The method comprises the following steps: preheating a sample container, adding a soil sample, quickly sealing, cooling and storing, keeping out of light in the whole process, and forming 0.7-0.9 atm negative pressure; the device comprises an outer bottle, an inner bottle, a bottle cap, a high-temperature box and a low-temperature box. By accurately controlling the temperature and the negative pressure, the sample storage efficiency and reliability are improved, meanwhile, the environmental pollution and the operation risk are reduced, and the stability and the analysis accuracy of the soil sample are ensured. The method and the device are easy to operate, dependence on professional skills is reduced, material waste and equipment maintenance cost are reduced, and good economical efficiency and practicability are achieved.

The embodiment of the invention provides a memory exception monitoring method and device, a storage medium and a program product, and the method comprises the steps: obtaining key information corresponding to a plurality of virtual memory segments of a target application, carrying out the classification processing of the virtual memory segments according to the key information, obtaining classification information, and storing the classification information in the target application. The classification information comprises a plurality of types and the RSS total amount of the virtual memory segments in different types, and determining that the memory use of the target application is abnormal according to the classification information. According to the memory exception monitoring method provided by the embodiment of the invention, the virtual memory segments are classified through the key information of the virtual memory segments based on the application, the total RSS amount of the virtual memory segments in different types is obtained, data can be simplified and the information amount can be reserved through classification processing, and the memory exception monitoring efficiency is improved. And furthermore, the memory use exception problem during application running can be quickly and effectively positioned based on the RSS total quantity under each type.

The invention discloses a metal linear expansion coefficient automatic detection platform and detection method, and belongs to the technical field of expansion coefficient detection. The method comprises the steps that S101, the length L0 of metal to be detected is measured, the metal to be detected is placed in a heater, and a grating is bonded to the free end of a glass rod and placed on a glass slide; s102, the heater is heated within a preset range, the temperature is recorded, and a grating image is obtained through an image obtaining module; s103, performing image processing on the raster image to obtain a binary image with black and white stripes alternated; s104, at different temperatures, obtaining a stripe movement number according to the number of binary changes of the gray image at the detection point in the binary image; s105, fitting the temperature and the stripe movement number to obtain a stripe movement number-temperature fitting curve; and S106, the linear expansion coefficient is calculated according to the length L0, the grating constant, the magnification factor and the fringe movement number-temperature fitting curve.

The utility model discloses intelligent equipment of billiard separation angle measurement, including the main controller chip with infinite transmission function, inertial measurement unit (IMU), power management module, the monitoring position one (a1) of equipment through the connector with the bottom connection of the ball handle or the monitoring position two (a2) of embedding equipment in the ball handle inside, the angle change condition of corresponding separation angle is measured through the direction of moving the ball handle. The main controller chip with infinite transmission function is mainly responsible for data processing and and mobile terminal communication, and inertial measurement unit (IMU) is used to gather posture change data, and power management module is responsible for power supply, and the equipment is fixed on the ball handle with the help of the ball handle as reference line, and the angle change condition of corresponding separation angle is measured through the direction of moving the ball handle.

The invention belongs to the technical field of excavators, and provides an excavator control method and system based on TBOX module failure detection, and the method comprises the steps: judging a time accumulated value when a voltage value of a TBOX module is out of a preset range, and judging that the TBOX module fails when the overall accumulated time is greater than a preset failure duration, the aim of detecting the TBOX failure of the excavator is fulfilled; meanwhile, when the time is accumulated and the continuous duration of the voltage value outside the preset range is greater than the first preset duration, starting timing; after timing is started, if the continuous duration when the voltage value is out of the preset range does not exceed the second preset duration, the duration is judged to be invalid and is not used as accumulated data of the overall duration, otherwise, the duration is judged to be effective, and by deleting the invalid duration, the misjudgment phenomenon is reduced, and the precision is improved; only the voltage value and the accumulated duration are judged, effective value judgment is carried out, and the comprehensive requirements of low cost, simple data and high judgment precision can be met.

The utility model belongs to the technical field of workpiece aperture perpendicularity measurement, and discloses an aperture perpendicularity measuring head mechanism which comprises a vertical connecting plate, a sliding plate connected to the vertical connecting plate in a sliding mode, a grating displacement sensor arranged between the sliding plate and the vertical connecting plate and used for detecting vertical sliding displacement of the sliding plate, and a vertical ejector rod arranged at the bottom of the sliding plate. A rotating shaft is rotatably connected to the bottom of the vertical connecting plate, a vertical swing arm is fixed on the rotating shaft, a spherical probe is arranged at the bottom of the vertical swing arm, a horizontal swing arm perpendicular to the vertical swing arm is fixed on the rotating shaft, and the bottom of the vertical ejector rod abuts against the horizontal swing arm; the whole measuring head mechanism adopts a transmission mode that a crank arm and a vertical ejector rod are matched with each other, the inclination change of the inner hole wall is measured and amplified, and then a high-precision grating displacement sensor is adopted for detection, so that the measurement precision is greatly improved.

The invention discloses an agricultural scene path planning method, system and device and a storage medium, belongs to the technical field of path planning, and solves the technical problem that an existing agricultural automatic driving technology cannot realize accurate positioning. The method comprises the following steps: acquiring an RGB image of a farmland through a monocular RGB camera; preprocessing the RGB image to obtain a preprocessed image; obtaining a region of interest according to the pre-processed image, and performing segmentation processing on the pre-processed image; only classifying each pixel of the region of interest, and performing category pre-definition on each pixel through a semantic segmentation method; a drivable area is divided according to predefined pixels, two boundary lines are extracted, and the center line of the two boundary lines serves as the center line of a driving path of the drivable area. According to the method, the calculated amount can be effectively reduced by adopting color image ashing processing, grey-scale image enhancement and ROI selection technologies, unnecessary feature factors in the image are eliminated, and an automatic driving path can be accurately positioned.

The invention relates to the technical field of engineering cost management, in particular to an intelligent power distribution network engineering cost dynamic optimization and management system, which comprises a login module used for logging in the system; the project quotation module is used for searching related equipment information for selection and calculating project budget based on the selected equipment; the project management module is used for creating, modifying, deleting, querying and storing projects; the equipment management module is used for searching, adding, deleting, modifying and storing equipment information; the cost management module is used for searching, adding, deleting, modifying and storing cost; the user management module is used for searching, adding, deleting, modifying and storing user information, through automatic statistics and timely updating of a database, the previous workload is reduced, and efficiency and accuracy are improved; and the estimated price of the project can be quickly reported, so that a user can make a decision more quickly.

The invention relates to the technical field of electric appliance control, and discloses a wireless remote control system and method for electric appliance equipment, and the method comprises the steps: collecting the information that a resident uses a water heater in history, and inputting an information set day by day; setting a collection moment, obtaining daily temperature data, and inputting the daily temperature data into a first temperature set; historical data are retrieved according to the temperature of the day, information sets meeting conditions are combined, and the water heater is prevented from being repeatedly started within a short time; predicting the home arrival time of the resident, judging whether to heat by combining the current water heater temperature, and calculating the heating time; the continuous use time of the water heater used by the resident is monitored in real time, the follow-up use requirement is predicted in combination with historical data, the water volume and temperature of the water heater are dynamically adjusted, and the resident requirement is met. According to the system, intelligent control over the water heater is achieved through big data analysis and intelligent prediction, and the energy efficiency and the user experience are improved.

The utility model discloses a novel electric tool and a shell, and relates to the technical field of electric tools, the electric tool comprises a shell, a motor, a speed regulator, an output shaft, a sensor group, a display screen and a voice player, the sensor group is installed inside the shell, and the display screen and the voice player are installed outside the shell; the shell comprises a seat body, a main grab handle, an auxiliary grab handle, a barrel shell and a storage groove, and unused drill bits can be stored in the storage groove. According to the novel electric tool, the sensor for detecting the rotating speed and the torque is arranged outside the output shaft, the sensor capable of detecting the temperature is arranged at the position, corresponding to the motor, inside the shell, and data detected by the sensors can be displayed to a user through the display screen, so that the data are more visual; reminding can be carried out in a voice mode, and damage caused by overheating is avoided.