24results about How to "Narrow detection range" patented technology

The invention discloses a network attack detection system and method based on deep learning. The method comprises the following steps: collecting and obtaining network topology data, network flow data and equipment log data; setting data burying points on the key application program to obtain behavior data of a plurality of users; obtaining an abnormal user by using the user behavior pattern library, and marking a terminal device of the abnormal user as an abnormal operation device; acquiring network flow data and equipment log data of the abnormal operation equipment, inputting the network flow data and the equipment log data into the network attack detection model, and marking the abnormal operation equipment of which the output result is network attack as a network attack node; establishing a network topology model according to the network topology data, and analyzing the influence range of the plurality of network attack nodes by using the network topology model to obtain a plurality of influence nodes; and isolating the network attack node from the plurality of influence nodes. The invention belongs to the technical field of network security, and solves the technical problems of low efficiency and insufficient precision of the existing network attack detection method.

The invention discloses a virtual power plant false data detection method and system based on a block chain and a medium, and relates to the technical field of data detection, and the method comprises the steps: obtaining distributed energy managed by each virtual power plant, and building a block network diagram; acquiring an energy transaction weight and an energy acquisition preference corresponding to the virtual power plant, and establishing a preference dimension graph and a transaction dimension graph; detecting data of the virtual power plant based on the transaction dimension graph to obtain a false data detection position of the virtual power plant; the method is used for solving the problems that in an existing false data detection method for the virtual power plant, all data of the virtual power plant needs to be analyzed, so that the time lower limit needed by data detection is high, and the detection speed is low due to the fact that the detection direction of data detection cannot be determined when a large amount of data exist.

The invention relates to a primer group and a kit for detecting Fabry disease GLA gene mutation and application of the primer group and the kit. The primer group comprises one or more of a GLA-F1 / R1 primer pair, a GLA-F2 / R2 primer pair, a GLA-F3 / R3 primer pair, a GLA-F4 / R4 primer pair, a GLA-F5 / R5 primer pair, a GLA-F6 / R6 primer pair and a GLA-F7 / R7 primer pair. The kit further comprises a GLA-Gap primer. Based on a specific combination of long-fragment PCR amplification and third-generation high-throughput sequencing, the method can be used for simultaneously detecting various mutations related to the Fabry disease pathogenic gene GLA of a plurality of samples in a high-specificity, accurate and rapid manner.

The invention relates to an abnormal sound detection method, which comprises the following steps of: installing an abnormal sound detection device at a to-be-detected position of an automobile part, and detecting a vibration signal at an abnormal sound occurrence moment by using the abnormal sound detection device; and analyzing the vibration signal, determining an abnormal sound frequency band, performing noise reduction on the abnormal sound frequency band, and analyzing the to-be-detected position according to the vibration signal after noise reduction. The abnormal sound detection device is installed at the to-be-detected position of the automobile part, the abnormal sound detection device is used for detecting the vibration signal at the abnormal sound occurrence moment, then the vibration signal is analyzed, the abnormal sound frequency band is determined, the detection range of the vibration signal is reduced, noise reduction is conducted on the abnormal sound frequency band, the signal-to-noise ratio of the signal of the abnormal sound frequency band is increased, and the abnormal sound detection accuracy is improved. The interference of external noise is reduced, the feature information of the vibration signal is improved, and the technical problem that the fault position cannot be accurately judged due to the fact that the abnormal sound signal detected by the abnormal sound stethoscope in the vehicle driving process is interfered by other irrelevant signals in the related technology is solved.

The invention provides a user message acquisition method and apparatus, an electronic device, a storage medium and a product, and relates to the technical field of edge data transmission, blind detection is performed on a public search space through an RA-RNTI in a system message, DCI of an RA message is acquired, and then the RA message is acquired. According to the method, the detection interval of the NID is obtained through the C-RNTI interval in the RA message, so that the detection range of the NID is greatly reduced, the detection quantity of the CCE group of the non-public search space is reduced, and the efficiency of obtaining the user message based on blind detection of the NID is improved. And the C-RNTI value is calculated according to the NID value, so that the detection accuracy of the matching CCE group of the non-public search space is realized, and the accuracy of obtaining the user message is improved. And the next time period is used as the current time period, so that periodic updating of the user messages is realized.

The embodiment of the invention discloses a Beidou satellite orbit maneuver detection method, device and equipment and a medium, and relates to the technical field of satellite orbit monitoring, and the method comprises the steps: obtaining precise ephemeris historical data of a to-be-detected time period, determining all time intervals which are lack of precise ephemeris data and of which the continuous duration is at least a first preset duration, predicated Beidou satellite orbit data are obtained based on TLE ephemeris published before the corresponding time interval and an SDP4 model, and the time interval where orbit maneuver exists is determined according to the comparison result of the predicated Beidou satellite orbit data and precise ephemeris orbit data. And according to the broadcast ephemeris parameters in the time interval in which the orbital maneuver exists, determining a sub-time interval in which the satellite health state parameter is 0 and the continuous duration is at least a third preset duration, and outputting the orbital maneuver time interval. The orbit maneuver detection result obtained based on the method can be directly used for evaluating the availability of the Beidou satellite space signal and verifying the availability performance of the Beidou satellite space signal.

The invention provides a single light source atom magnetometer with a low measurement dead zone and a magnetic field measurement method. The single light source atom magnetometer comprises a laser, an optical fiber splitter, a first collimator, a second collimator, an alkali metal atom gas chamber, an excitation magnetic field coil, a signal processor, a first photoelectric detector and a second photoelectric detector, according to the single-light-source atom magnetometer, the same light source is divided into two beams to detect the atom gas chamber at different angles, detection signals are obtained, the detection range of the atom magnetometer reaches 360 degrees, and the detection dead zone of the atom magnetometer is greatly reduced. By applying the technical scheme of the invention, the technical problem that the sensitivity is reduced or the measurement is failed when a magnetic field in a certain direction is measured due to the inherent measurement dead zone in the operation process of the traditional magnetometer is solved.

The invention provides a sensitive data identification and protection system for an object storage server, which belongs to the technical field of information security, and comprises the following steps: a data storage module stores data information in a relational database and the object storage server; the data index module is used for querying the user associated data of the specific user identifier in the relational database based on the data security platform, acquiring the storage address of the user associated data in the object storage server, and acquiring corresponding object storage data in the object storage server; the sensitive data identification module identifies whether the object storage data contains sensitive data or not by calling a sensitive data identification model, and extracts unstructured data containing the sensitive data when identifying that the object storage data contains the sensitive data; and the sensitive data protection module sets access authority based on an access control list rule and adds protection measures to the unstructured data. According to the system, the detection efficiency of data information is effectively improved, and effective identification and protection of sensitive data are realized.

The invention provides a semantic map construction method and system based on multi-input information, and the method comprises the steps: inputting data, and obtaining a point cloud map, GNSS data with a timestamp, and image information with a timestamp; semantic element extraction and vectorization are carried out, semantic elements are extracted from the point cloud map through a deep learning model and stored as vectorization elements, and the vectorization elements comprise point elements representing specific points on the map and line elements composed of a series of continuous point elements and used for representing linear features; the polygon element is composed of a series of point elements which are connected end to end and used for representing a clear boundary area; carrying out manual correction on the extracted semantic elements; and outputting the corrected semantic elements as a semantic map in a standard format. The method has the advantages of high detection efficiency, high accuracy and the like, and the efficiency and precision of map construction can be effectively improved.

This application relates to the field of automatic control technology and provides a method, apparatus, and storage medium for controlling the recharge of a self-moving device. The method includes: acquiring an environmental image of the self-moving device during the recharge process; performing target detection on the environmental image to obtain a first detection frame including the charging dock; extracting a second detection frame corresponding to the charging dock features from the first detection frame; wherein the charging dock features are identifying features on the charging dock, and the image area of ​​the second detection frame is smaller than that of the first detection frame; determining the position information of the second detection frame; and controlling the self-moving device to move towards the charging dock based on the position information of the second detection frame. This application solves the problem of inaccurate control of the self-moving device returning to the charging dock. By narrowing the target detection range, the recharge control of the self-moving device can be made more precise.

The application relates to a fire hose inspection and detection device and relates to the field of fire hose detection, which comprises a test table, water outlet boxes and water storage frames arranged in a diagonal line on the left and right sides of the test table, two locking mechanisms corresponding to the water outlet boxes and the water storage frames respectively arranged at the upper end of the test table, and an environment simulation unit arranged between the two locking mechanisms. The fire hose is arranged in an S-shaped mode for subsequent detection, the overall detection range of the fire hose is shortened, the fire hose can be fully detected in a long enough detection length, and the authenticity of the fire hose detection result is greatly improved; the use condition of the subsequent fire hose after back and forth friction with different ground is simulated by replacing the environment simulation plate and the friction sleeve, the limitation of the fire hose detection in a single environment is changed, the quality of the fire hose is more comprehensively detected, and a more accurate wear resistance detection result is obtained.

The present invention belongs to the field of aperture detection technology, and in particular, relates to a magnetic core aperture rapid detection device, including a detection platform, and also including: a multi-directional positioning mechanism, an aperture detection mechanism, an eccentricity detection mechanism, an aperture standard value feedback mechanism, a detection number control mechanism, and a PLC controller. The present invention can quickly detect the aperture of the magnetic core, and quickly judge whether the detection result meets the preset aperture standard value, effectively improving the detection efficiency and reducing the detection error. When detecting the aperture of the magnetic core, it can simultaneously quickly detect and judge whether the inner circle of the magnetic core is eccentric, and give a warning in time. It can automatically control the position and number of the magnetic core aperture detection based on the aperture standard value of the magnetic core to be detected, so that the larger the aperture of the magnetic core, the more positions and times of detection.

The invention provides a method and equipment for quickly determining the position of a cryptographic operation component and a storage medium, and relates to the technical field of network security. The method comprises the following steps: acquiring electromagnetic characteristics generated when a password product runs different algorithm functions by using electromagnetic detection equipment; setting a test vector and an input data set according to algorithm functions (such as encryption, decryption and the like) of a password product; the method comprises the following steps: determining a detection range by dividing the detection range and square blocks, dividing the range into a plurality of square blocks, and carrying out electromagnetic detection on each square block; identifying a high-value square block by judging whether an electromagnetic detection value reaches a preset threshold value or not, setting a key area according to the high-value square block, further subdividing the key area into smaller square blocks, and performing detailed electromagnetic detection; and comparing the detected electromagnetic characteristics with known electromagnetic characteristics of the password product running a corresponding algorithm function so as to determine the position of the password operation part.

The present invention discloses a method, system and medium for detecting false data of a virtual power plant based on blockchain, and relates to the field of data detection technology, including: obtaining distributed energy resources under the jurisdiction of each virtual power plant, and establishing a block network diagram; obtaining energy transaction weights and energy acquisition preferences corresponding to the virtual power plant, and establishing a preference dimension diagram and a transaction dimension diagram; detecting the data of the virtual power plant based on the transaction dimension diagram, and obtaining the false data detection position of the virtual power plant; the present invention is used to solve the problem that in the existing false data detection method for virtual power plants, all data of the virtual power plant need to be analyzed, resulting in a high lower limit on the time required for data detection, and when faced with a large amount of data, the detection speed is slow due to the inability to determine the detection direction of the data detection.

The invention relates to a method and system for detecting same-color pollutants in a snowfield area near a garbage can, and the method comprises the steps: obtaining the image data of the garbage can, and extracting the position information of the garbage can through the image data; determining a plurality of candidate detection areas based on the position information, and performing snowfield judgment on the plurality of candidate detection areas through a snowfield feature recognition algorithm to obtain a snowfield area identification result; carrying out grid division on the candidate detection area which is identified as a snowfield according to the snowfield area identification result to obtain a plurality of sub-areas; and extracting color feature parameters and texture feature parameters of the plurality of sub-regions, and performing same-color pollutant judgment on the plurality of sub-regions through a feature combination scoring algorithm to obtain a detection result. The detection accuracy of the same-color pollutants in the snowfield environment is improved.

The present invention discloses a power facility maintenance system based on smart Internet of Things, which belongs to the field of power maintenance technology, and includes: a node current detection module, which obtains effective current information at each cable node; a data acquisition module, which obtains associated parameter information on the cable; an environment acquisition module, which obtains historical environmental information of the area where the cable in each node interval is located from the local meteorological bureau; a comprehensive processing and analysis platform, which analyzes the effective current information obtained at each cable node, determines whether the cable in each node interval fails, and finds out the specific location segment where the fault occurs in the fault node interval according to the obtained associated parameter information, so as to perform corresponding maintenance. The present invention performs maintenance management of the cable in the node interval with different intensities by obtaining the historical environmental information of each node interval and combining the fault situation in the node interval, so as to ensure that the cable can operate stably.

The invention belongs to the technical field of aperture detection, and particularly relates to a magnetic core aperture rapid detection device, which comprises a detection table, a multidirectional positioning mechanism, an aperture detection mechanism, an eccentricity detection mechanism, an aperture standard value feedback mechanism, a detection frequency regulation and control mechanism and a PLC (Programmable Logic Controller). According to the invention, the aperture of the magnetic core can be rapidly detected, whether the detection result accords with the preset aperture standard value is rapidly judged, the detection efficiency is effectively improved, the detection error is reduced, whether the inner side circle of the magnetic core is eccentric can be rapidly detected and judged synchronously when the aperture of the magnetic core is detected, and warning is given in time. The magnetic core aperture detection position and frequency can be automatically regulated and controlled based on the aperture standard value of the magnetic core to be detected, and the larger the magnetic core aperture is, the more the detection position and frequency are.

The present application belongs to the technical field of 3D AOI industrial vision detection, and relates to a fiducial point detection method and device for electronic devices and a readable storage medium. A fiducial point to-be-positioned region image is collected, the fiducial point to-be-positioned region image is detected, and at least one coarse positioning circular region where the fiducial point is located is obtained. Based on the radius of each coarse positioning circular region and the radius of a standard fiducial point, the positioning score of each coarse positioning circular region is calculated. The coarse positioning circular region with a positioning score greater than a preset positioning score threshold is taken as a target coarse positioning circular region. The edge points of the target coarse positioning circular region are extracted multiple times, the edge points extracted each time are fitted, and multiple fitting circles corresponding to the target coarse positioning circular region are obtained. The difference between the radius of each fitting circle and the radius of the standard fiducial point is calculated, the fitting circle with the smallest difference is taken as the best fitting circle, and thus the fiducial point of the electronic device is obtained, effectively improving the detection precision and detection efficiency of the fiducial point.

The invention provides a primer group and a kit for detecting IDS gene mutation and application of the primer group and the kit. The primer group provided by the invention comprises a primer pair of IDS-1-F and IDS-1-R, a primer pair of IDS-2-F and IDS-2-R and a primer pair of IDS-2-F and IDS-2-R, and further comprises an IDS-Gap Mix primer group. By combining the characteristics of long-fragment PCR amplification and a long-read-length sequencing platform, various mutations of the IDS gene can be comprehensively, accurately, quickly and simultaneously detected at high throughput.

The invention provides an information detection method and device, electronic equipment, a storage medium and a program product, and relates to the technical field of data processing. The method comprises the following steps: determining whether function description information contains target description information corresponding to a preset artificial intelligence (AI) description information set in response to obtained updated function description information of a detected network; whether the target description information exists or not is determined according to the function description information, the information detection range is narrowed, and the calculation amount is reduced; if the function description information contains target description information corresponding to the preset artificial intelligence (AI) description information set, sending an information request to the detected network; the information request comprises interface calling information of the AI model; and according to the network feature information fed back by the detected network, determining whether the detected network contains the AI model used for generating the information, thereby realizing timely detection of the generated service corresponding to the detected network, reducing supervision blind areas, and improving detection efficiency.

The invention provides an ultrasonic imaging quartz wafer rapid screening method and system, and relates to the technical field of quartz wafer quality inspection, and the method comprises the steps: determining the maximum scanning depth of an ultrasonic scanning microscope, and determining the number of first quartz wafer groups according to the maximum scanning depth and the thickness and yield of a to-be-detected quartz wafer, dividing all the quartz wafers to be detected into a plurality of quartz wafer groups according to the number of the first quartz wafer groups; placing the quartz wafers on a scanning table, and then performing penetration scanning on the quartz wafers in groups by adopting an ultrasonic scanning microscope to obtain corresponding scanning images; defect scanning images which do not meet requirements are screened out from all the scanning images, then the quartz wafers in the quartz wafer sets corresponding to all the defect scanning images are regrouped, and then scanning and screening are conducted again till only one quartz wafer is contained in each defect scanning image to serve as a defect quartz wafer. The method has the beneficial effects that the range of the wafers with defects is gradually reduced until the single wafer is accurately removed, and accurate removal is realized.

The invention relates to a distributed scheduling method and system for a mobile robot and electronic equipment, and the method comprises the steps: a map is deployed on the robot, the robot interacts information through broadcasting and receiving a PING data packet, the PING data packet comprises a map ID, and a plurality of robots with the same map ID are automatically networked; the robot broadcasts own information regularly in the moving process, wherein the information comprises the pose, the speed, the destination and subsequent n path points of the robot; and sampling the speed space of the robot, carrying out scoring and weighted summation on all the sampled predicted trajectories by using various cost functions to obtain an optimal trajectory for the movement of the robot, and repeating the step until the robot reaches a destination. Compared with the prior art, the method has the advantages that multi-robot distributed scheduling and motion planning are combined, flexible and smooth multi-robot avoidance and walking together are realized, and the scheduling efficiency is improved.

The embodiment of the utility model discloses a detection device and hole structure detection equipment, the detection device comprises a support, a driving assembly, a plurality of detection heads and connecting rods, the number of the connecting rods is equal to that of the detection heads, the driving assembly is arranged on the support, and the driving assembly is provided with a driving part capable of axially sliding relative to the support; the plurality of detection heads are arranged at the periphery of the preset shaft and are movably connected with the bracket; connecting rods with the same number as the detection heads are arranged around the preset shaft, one end of each connecting rod is rotatably connected with the driving part, the other end of each connecting rod is rotatably connected with the corresponding detection head, and the axial direction of the preset shaft is consistent with the driving direction of the driving part; and each detection head is suitable for the driving part to move towards one position of the preset shaft through the driving force of the connecting rod. According to the detection device, the overall distance between the detection heads can be adjusted by controlling the driving assembly, so that the detection device can adapt to threaded holes of various sizes during application.