36results about How to "Real-time tracking" patented technology

The invention discloses a lung puncture navigation system for pneumology department, which relates to the technical field of lung puncture navigation and comprises a data collection module, a data processing module, a calculation module and a navigation module. The method has the advantages that the focus position can be accurately positioned in real time by collecting the lung image data and the respiratory movement data of the patient and utilizing calculation of respiratory compensation, the need of adjusting the position of a puncture needle for multiple times is avoided, the optimal puncture path can be calculated, and the puncture accuracy is improved. Therefore, intelligent biopsy puncture path planning can be carried out according to specific conditions of the patient, biopsy risks are reduced, focus position changes caused by respiratory movement can be accurately compensated through real-time respiratory compensation application, and it is ensured that navigation precision and biopsy effects are not affected by the respiratory movement.

The invention discloses a data management system based on a monitoring video stream, belongs to the field of data analysis, and aims to solve the problems of camera connection acquisition, image quality optimization, pedestrian related information analysis and data storage retrieval and backup in video monitoring. The system comprises a data acquisition module, a target detection module and a data storage module. The data acquisition module is used for identifying and connecting a video monitoring camera, performing video stream data acquisition, adjusting an acquisition frame rate by estimating a data size, and evaluating and optimizing image quality to obtain a detection image data set; the target detection module is used for carrying out feature extraction, classification and marking on pedestrians in the detection image data set, recording pedestrian trajectory information, carrying out real-time tracking and updating, identifying a behavior mode according to the trajectory information, dividing a gathering area and obtaining the pedestrian flow; and the data storage module is used for classifying and labeling the data, constructing an index structure to guarantee efficient retrieval, dividing data grades according to multi-dimensional features, and dynamically adjusting a backup time interval.

The invention discloses an electronic file data quality detection method and system, and the method comprises the steps: obtaining electronic file data in a to-be-detected list, carrying out the analysis, and obtaining the analyzed electronic file data; performing basic rule detection on the analyzed electronic file data according to a preset basic rule to obtain a basic rule detection result; performing directory rule detection on the analyzed electronic file data according to a preset directory rule to obtain a directory rule detection result; performing general rule detection on the analyzed electronic file data according to a preset general rule to obtain a general rule detection result; and generating a detection report according to the basic rule detection result, the directory rule detection result and the general rule detection result. The electronic file can be automatically detected, the filing quality of the electronic file is improved, document filing work is more efficient and accurate, manpower is released, cost is reduced, and the state of the file can be tracked and monitored in real time.

The invention discloses a full-rotation photovoltaic support capable of being adjusted digitally and intelligently, belongs to the technical field of photovoltaic supports, and can solve the problem that the power generation efficiency of a photovoltaic system is low due to the fact that the adjustment capacity of an existing photovoltaic support is limited. The photovoltaic support comprises a telescopic stand column arranged on the ground; the supporting frame is located above the telescopic stand columns; the bottom end of the rotatable stand column is connected to the top end of the telescopic stand column, and the top end of the rotatable stand column is rotationally connected with the bottom of the supporting frame and used for driving the supporting frame to rotate horizontally. The telescopic part is located on one side of the rotatable stand column, one end of the telescopic part is rotationally connected with the bottom of the supporting frame, the other end of the telescopic part is rotationally connected with the side wall of the rotatable stand column, and the telescopic part is used for driving the supporting frame to obliquely rotate in the telescopic process. The invention is used for installing the photovoltaic module.

The invention relates to the technical field of garbage collection, and discloses a garbage cleaning method and a garbage cleaning ship which can position, track and collect marine garbage. Comprising the following steps that after first image information of the sea surface is collected, the number and the position of garbage areas are recognized and determined, and positioning buoys are put in the garbage areas; according to the ship position signal of the garbage cleaning ship and the buoy position signal of the positioning buoy, the ship signal with the shortest stroke distance to the buoy position signal is determined; matching the positioning buoy with the shortest stroke distance with the garbage cleaning ship, and controlling the successfully matched garbage cleaning ship to arrive at the position of the corresponding positioning buoy for garbage collection; according to the second image information, after it is determined that all garbage is removed, the corresponding positioning buoys are recycled, and the matching relation is relieved. Positioning recycling is achieved, and the garbage recycling efficiency can be effectively improved; real-time positioning and tracking are realized, and the positioning reliability can be improved.

The invention relates to the technical field of microwave array antennas, and particularly discloses a common-aperture antenna compatible with a Beidou Tiantong double-satellite system, which comprises a metal bottom plate and a microstrip antenna unit embedded in the metal bottom plate, the microstrip antenna unit comprises a Beidou short message receiving and transmitting frequency reconfigurable antenna unit, a Beidou B3 / B1 laminated antenna unit, a Beidou B3 / B2b laminated antenna unit, a Beidou B3 antenna unit, a Beidou B1 antenna unit and a Tiantong receiving and transmitting laminated antenna unit; the Tiantong transmit-receive laminated antenna units are arranged on the same circle with the center of the Beidou short message transmit-receive frequency reconfigurable antenna unit as the circle center. The Beidou B3 / B1 laminated antenna unit, the Beidou B3 / B2b laminated antenna unit, the Beidou B3 antenna unit and the Beidou B1 antenna unit are located between the Tiantong transmit-receive laminated antenna unit and the Beidou short message transmit-receive frequency reconfigurable antenna unit. According to the invention, common-caliber integration of the Beidou short message receiving and transmitting frequency reconfigurable antenna, the Beidou navigation anti-interference antenna, the Beidou direction-finding antenna and the Tiantong receiving and transmitting phased-array antenna can be realized.

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 application discloses a method for optimizing process parameters of metal type nuclear fuel preparation process, collecting and arranging metal type nuclear fuel preparation process parameters and performance parameters, post-preparation performance parameters and microstructure metallographic pictures; establishing a metal type nuclear fuel solidification phase field model according to a solidification thermodynamic path under different process parameters; solving the metal type nuclear fuel solidification phase field model by using a Fourier spectrum method to obtain a phase field variable numerical solution; post-processing and visualizing the phase field variable numerical solution to generate a microstructure distribution map of the metal type nuclear fuel after solidification, and comparing and verifying the phase field model with the metal type nuclear fuel microstructure metallographic picture; calculating the post-solidification performance parameters of the metal fuel based on the microstructure distribution of the metal type nuclear fuel after solidification; taking the preparation process parameters as input and the performance parameters as output, constructing a nonlinear mapping proxy model between the metal type nuclear fuel preparation process parameters and the performance parameters; and solving the optimal preparation process parameters by using the nonlinear mapping proxy model given the target performance parameters of the metal type nuclear fuel.

The invention belongs to the technical field of highway maintenance operation warning, and relates to a highway maintenance operation safety warning robot cluster and a control method thereof. The safety warning robot cluster comprises a plurality of road maintenance operation safety warning robots; the road maintenance operation safety warning robot comprises a movable chassis and a warning device arranged on the movable chassis. A depth camera is arranged on the warning device; a GPS positioning unit, a control unit and a power supply are arranged on the movable chassis; the control motor, the GPS positioning unit and the depth camera are all connected with the control unit. The control method comprises a remote control mode and an autonomous control mode. According to the remote control mode, an external remote control unit transmits a control signal to the control unit, and the road maintenance operation safety warning robot cluster is controlled to move to a target position. In the autonomous control mode, the control unit calculates the target position and the target track of the navigation safety warning robot and controls the navigation safety warning robot and the following moving safety warning robot to move to the target position.

The invention discloses an electric energy quality monitoring device and a uniformly-spaced sampling method, and belongs to the technical field of electronic measurement, the electric energy quality monitoring device comprises an MCU, the MCU is integrated with an event capture module and a PWM generation module, the PWM generation module comprises a PWM01 logic module and a PWM23 logic module, a PWM0 PIN pin of the PWM generation module is connected with a power frequency signal, a PWM2 PIN pin outputs a sampling pulse, and the sampling pulse is connected with the PWM generation module. The A / D circuit performs sampling control; and through capturing interruption, reading a capturing moment of an input signal, calculating a period of a power frequency signal and updating a period of a sampling pulse in real time. According to the invention, power frequency signal frequency can be tracked in real time and equally-spaced sampling can be carried out.

The invention provides a hotspot information generating and editing system based on an AIGC technology, which comprises a server, a data collection module, a hotspot tracking module, an AIGC module and an editing and publishing module, and is characterized in that the data collection module collects hot data of a user side, the hotspot tracking module obtains a topic set corresponding to the hot data based on the hot data, and the editing and publishing module publishes the topic set. The AIGC module evaluates a topic set corresponding to the hot data to form an evaluation result and sorts all topics in the topic set according to the evaluation result to obtain a hot topic set, and the editing and publishing module evaluates the hot topic set for the second time to adjust the arrangement sequence of all hot topics in the hot topic set. Through cooperation of the editing and publishing module and the AIGC module, the hot topics can be dynamically updated, the self-adaptive editing capability of the hot topics is improved, and it is guaranteed that the whole system has the advantages of being high in response speed and high in automation degree.

The utility model relates to a roller press lever type feeding device, which comprises a push rod device (1), a feeding hopper (6), a valve plate support (4) and a valve plate (5), the valve plate support (4) and the valve plate (5) are arranged in the feeding hopper (6), the push rod device (1) comprises a driving motor (8), a screw (9) and a connecting rod (10), the driving motor (8) drives the screw (9) to do linear motion, the connecting rod (10) is fixed at the end part of the screw (9), and the connecting rod (10) is fixed at the end part of the screw (9). The middle of the valve plate (5) is hinged to the valve plate support (4), and the upper end of the valve plate (5) is hinged to the connecting rod (10). The middle of the valve plate is hinged to the valve plate support, the upper end of the valve plate is hinged to the connecting rod to form a lever structure, and the lever type valve plate is adopted, so that the load of the adjusting screw rod can be reduced, and the valve plate is more labor-saving and more flexible to adjust.

The application discloses a kind of based on machine vision's magnetic force polishing state detection method, equipment and medium, it is related to surface processing quality control technical field, including the dynamic image of the contact area of magnetic brush and workpiece is collected, obtains the image sequence of the contact area of magnetic brush and workpiece, extracts and smooths the upper boundary of magnetic brush, constructs the time series of upper boundary disturbance rate of magnetic brush;Magnetic brush trajectory coverage heat map is constructed, under-coverage, over-coverage and normal coverage area are divided, and area coverage index is calculated;Fusion upper boundary disturbance rate time series of magnetic brush and area coverage index, construct magnetic force polishing state feature vector, train random forest model, generate real-time magnetic force polishing risk grade label, adjust magnetic field intensity, obtain magnetic brush polishing supplement point set, generate magnetic brush polishing supplement trajectory.Magnetic force polishing process is quantified tracking in real time to the disturbance state, accurately identify magnetic force polishing state and implement regional compensation, improve polishing quality and process stability.

This invention relates to the field of oilfield reservoir research technology, specifically a physical simulation method and system for fracturing imaging using non-uniformly distributed contact electrodes. The method includes: detecting resistance modes using a low-frequency excitation signal at the current time step during fracture propagation simulation to obtain the corresponding electrical signal; obtaining the conductive fluid distribution of the core fracturing specimen at the current time step using a conductive fluid distribution inversion model; fitting and comparing the electric field distribution result at the current time step with the conductive fluid distribution result; and outputting the fracture parameters and conductive fluid distribution results of the core fracturing specimen at the current time step based on the fitting and comparison results. This invention directly and in-situ senses the changes in electrical properties caused by natural fractures and their contained fluids, acquires electrical signals, reduces response delay, and effectively improves the accuracy and reliability of conductive fluid distribution inversion by combining prior knowledge and deep learning to construct a conductive fluid distribution inversion model.

The present application provides a brown soil planting management method driven by climate data, which relates to the field of agricultural information technology. By sampling and detecting the distribution area of ​​brown soil, information on the proportion of brown soil components, brown soil pH value, soil particle ratio and soil type sub-class ratio are obtained; the interactive user end receives crop variety information and crop growth stage; through the climate data association component, target climate data is configured for the crop variety information and crop growth stage based on the sampling and detection information; climate monitoring data is collected and compared with the target climate data to obtain the climate data deviation index; when the climate data deviation index is greater than or equal to the deviation index threshold, a climate data interference signal is generated and sent to the user end. The present application solves the technical problem that the traditional method lacks quantitative climate environment assessment standards, resulting in the inability to achieve precise and batch brown soil planting management, and improves the scientificity, accuracy and universality of brown soil planting management.

The present invention provides a smart helmet management method and related equipment based on the Internet of Things, the method comprising the following steps: obtaining personnel entry information through an entrance radio frequency identification device at the entrance of a construction site, and generating a list of construction personnel; obtaining the first personnel positioning information through the radio frequency identification device, and updating the list of construction personnel; obtaining the second personnel positioning information of the target construction personnel through a positioning communication base station, and continuously updating the list of construction personnel using the second personnel positioning information; real-time monitoring of the latest position update time of all target construction personnel in the list of construction personnel; if any target construction personnel has not updated the position for a long time, sending a position update voice message to the smart helmet worn by the unknown construction personnel, and generating an emergency management strategy for the unknown construction personnel based on the list of construction personnel. The present invention has the effect of realizing efficient management of large-scale construction sites.

The application provides a shipborne multiband coplanar high-integration phased array radar RCS measurement system, which is characterized by comprising a four-band radar unit, a stable platform, a power supply, a radome, a temperature stabilizing unit and a comprehensive information processing unit; wherein the four-band radar unit comprises a C-band radar, an X-band radar, a Ku-band radar and a Ka-band radar, and the stable platform is provided with a control unit; the control unit is in communication connection with each band radar of the four-band radar unit respectively, and is used for transmitting monitoring and data signals with each band radar of the four-band radar unit; the power supply supplies power to the stable platform and the control unit of the stable platform, and comprises a power supply interface, which is used for externally supplying power to the shipborne multiband coplanar high-integration phased array radar RCS measurement system; the four-band radar unit, the stable platform and the like are installed in the radome. The application adopts a wide bandwidth scanning active phased array system, adopts a multiband high-integration coplanar design, and has multiband, multi-angle and co-view field measurement capacity.

This invention belongs to the field of pumped storage unit control technology, and specifically discloses a dynamic coordinated control method, system, medium, and product for variable speed pumped storage units based on real-time optimization. The method includes: performing iterative calculations of the unit's power reference value, and feeding back the obtained output and head, or input and head, to a coordinated optimization controller in real time; under power generation conditions, the coordinated optimization controller uses output and head as new target values, and combines the optimal speed-output-head and optimal guide vane opening-output-head correlation relationships to derive the optimal speed and optimal guide vane opening; under pumping conditions, the coordinated optimization controller uses input and head as new target values, and combines the optimal speed-input-head and optimal guide vane opening-input-head correlation relationships to derive the optimal speed and optimal guide vane opening; and then achieves dynamic coordinated control through the cooperation of a speed governor and a converter. This invention can ensure the real-time and efficient operation of variable speed pumped storage units.

The invention discloses a target detection and tracking method, electronic equipment and a storage medium. The method comprises the following steps: acquiring a to-be-detected image containing personnel in a target scene by using a camera; inputting the to-be-detected image into a target detection model comprising a first detection head and a second detection head for personnel detection to obtain a personnel detection result of the target scene; adjusting the rotation angle of the camera based on the central point of the surrounding frame in the personnel detection result and the size information of the to-be-detected image; and determining whether to control a tracking device where the camera is located to move or not according to the area of the surrounding frame so as to track the personnel. According to the scheme disclosed by the invention, rapid personnel detection can be realized on embedded equipment without a neural network acceleration module, and a real-time personnel tracking effect is achieved.

The present invention discloses and provides a multi-target panoramic search, tracking and identification system, which utilizes the panoramic imaging principle of an optical system to image, capture, track and identify in real time a 360° range from vertical to ‑15°. The present invention includes a shell, a plurality of first lens units are arranged around the outer periphery of the shell, a cavity is arranged inside the shell, an entrance connected to the cavity is arranged on the shell, a lens is arranged at the entrance, a spherical lens is arranged above the lens, a compound eye imaging unit is arranged in the cavity, and the compound eye imaging unit is located below the lens, and the multi-target panoramic search, tracking and identification system includes a control module, and a plurality of the first lens units and the compound eye imaging unit are all connected to the control module by signal. The present invention is applied to the technical field of optical systems, and is mainly applied to important places such as airports.

The invention provides a single vector hydrophone DOA dynamic estimation method based on a phase-locked loop, and belongs to the field of sonar signal processing. A single-vector hydrophone DOA open-loop estimation algorithm is used as a phase discriminator, a phase-locked loop is used for dynamically estimating the direction of arrival of a signal, accurate tracking of DOA is kept in a dynamic scene, the problem that a traditional single-vector hydrophone DOA estimation method is not high in precision in the dynamic scene is solved, and the estimation accuracy of the DOA is improved. And outputting an in-phase branch of the phase-locked loop phase discriminator as the optimal synthesis of the vibration velocity. The method is not only small in calculation amount, but also capable of tracking the signal incoming wave direction in real time. And when # imgabs0 # iteratively approaches 0, the in-phase branch of the phase-locked loop phase discriminator is the optimal synthesis of the vibration velocity.

The present invention relates to an RFID fixed asset inventory system and method based on the Internet of Things, and relates to the technical field of asset inventory. The system comprises: an RFID module, comprising a plurality of RFID readers and a plurality of RFID tags arranged in a fixed asset inventory area, wherein each fixed asset is provided with an RFID tag, and the RFID tag is used to upload a heartbeat data packet to an RFID reader corresponding to a reading sub-area where the fixed asset is located; a status acquisition module, comprising a plurality of sound monitoring devices and a plurality of status acquisition devices; a status determination module, comprising a plurality of edge determination devices, wherein the plurality of edge determination devices are used to determine the real-time status of the fixed assets based on the sound information collected by the plurality of sound monitoring devices and the status information of the fixed assets collected by the plurality of status acquisition devices; and a digital twin module, which is used to establish a digital twin model of a fixed asset inventory area, and based on the real-time status of the fixed assets, update the digital twin model in real time, and has the advantage of improving the inventory quality of the fixed assets.

The invention provides an air-ground cooperative cross-carrier multi-source fusion perception and terrain modeling method and system. The system comprises a ground robot unit, an unmanned aerial vehicle unit and a cooperative control center unit. The ground robot unit is responsible for collecting data and detecting obstacles; the unmanned aerial vehicle unit cruises to take off and land at low altitude, and images and elevation data are obtained through an oblique photography camera and a laser radar; the cooperative control center unit interacts with the ground robot unit and the unmanned aerial vehicle unit through wireless communication to realize data fusion and task allocation, and the high-altitude global detection capability of the unmanned aerial vehicle and the near-earth fine sensing advantage of the ground robot are cooperated and complemented, so that the detection limitation of single equipment is overcome, and the detection efficiency is improved. The all-directional coverage of topographic information is realized, and the elevation precision and detail integrity of the generated topographic map are remarkably improved.

The present invention provides a method and device for generating an iterative process document in Scrum, which can be used in the field of distributed technology. The method comprises: when a page starts to iterate, using webhook to collect iterative data, and calculating an iterative index value based on the iterative data; creating a directory page of an iterative process document of the iteration in Confluence according to the iterative data and the iterative index value; in the iterative process, based on the timing service set by JIRA, calculating the iterative index value according to the ongoing iterative data, and updating the iterative process document of the iteration in Confluence according to a preset cycle; when the iteration is completed, calculating the iterative index value based on the last iterative data, and updating the iterative process document of the iteration in Confluence. The present invention can automatically generate iterative process documents, with high efficiency and good real-time performance.

The invention provides a drying simulation method and system for a battery pole piece and a storage medium, and the method comprises the steps: S1, building a drying dynamic model of the battery pole piece, and setting a boundary condition and an initial value; s2, temperature and humidity data of a hot air inlet and a hot air outlet of the drying oven are measured, absolute humidity of an air inlet is obtained, and a pole piece-hot air coupling heat and mass transfer model is established based on energy conservation and mass conservation; and S3, the drying kinetic model and the heat and mass transfer model are combined, and a parameter sum is solved by using actually measured data Yair, test. The drying process of the battery pole piece is described in stages, a drying kinetic model is established, and in combination with a pole piece-hot air coupling heat and mass transfer model based on energy conservation and mass conservation, real-time tracking of the agent containing rate and the surface temperature of the pole piece is achieved, the drying process of the battery pole piece is optimized, and the manufacturing efficiency of the battery pole piece is improved.

The invention discloses the technical field of intelligent home equipment installation and debugging, and relates to the technical field of intelligent home equipment installation and debugging. Comprising high-definition cameras, an infrared measurement unit, a scanning recognition module, an image recognition and tracking module, a laser radar, a debugging module, an AR content management module, an AR rendering system, a user gesture voice interaction module, a real-time video stream processing module, a voice system, an equipment joint debugging module and a recording module which are installed at a plurality of key positions in the AR glasses. And the AR content management module is used for collecting spatial data of installation environments of a plurality of indoor key positions in real time, generating a three-dimensional environment model, collecting real scene data, superposing virtual guidance content, and labeling and reminding special places. Static characters and pictures of a traditional paper specification are replaced, manual judgment is replaced by intelligent environment perception, tracking and error correction are operated in real time, and the installation precision and the installation efficiency are improved.

The invention relates to the technical field of sitting posture monitoring, in particular to read-write sitting posture monitoring desktop equipment based on a phased array infrared device. According to the technical scheme, a phased array infrared system is composed of a slide glass and infrared distance measuring units, the infrared distance measuring units are evenly distributed on the slide glass, a combined lens system comprises a fixed lens module and a variable lens module, the variable lens module is composed of a third convex lens and a fifth convex lens, and the third convex lens and the fifth convex lens are arranged on the slide glass. The third convex lens is used for adjusting the measuring range, the fifth convex lens is used for adjusting the measuring direction, the third convex lens moves in the direction of the optical axis, and the fifth convex lens moves in the plane perpendicular to the optical axis. The method has the advantages of high-precision measurement capability, flexible measurement range and direction adjustment, real-time target positioning and tracking, multi-dimensional data acquisition and analysis, personalized user experience, wide application field and the like, and an efficient, accurate and reliable sitting posture monitoring and evaluation solution is provided for a user.

The invention relates to a prediction control module implementation method based on a localized DCS platform, and the method comprises the following steps: developing a prediction control algorithm program, building a prediction model needed by a matrix variable expression algorithm, and inputting the algorithm program including control parameters and model update variables; storing a prediction model obtained through offline modeling or an optimization algorithm as a data file, and storing the data file in a set path; the algorithm program loads the prediction model by reading the data file under the set path, and judges the program running state according to the value of the current model update variable; when the program is in a normal operation state, control parameters are obtained, and a control instruction is output through the prediction model; when the program is in a model loading state, the latest data file under the set path is read again, the prediction model is updated, and in the updating process, the program outputs other control loop tracking instructions or manual control operation instructions. Compared with the prior art, the method has the advantages of good control performance, good flexibility and the like.

The invention relates to a method, a system and a composition for delivering macromolecules to marine fish sperms based on exosomes, and belongs to the crossing field of biotechnology and reproductive engineering.According to the method, the exosomes displaying CD81 protein serve as a carrier, and the macromolecules are delivered to marine fish sperms through specific binding of the CD81 protein and a receptor ligand of CD9 protein on a fish sperm cell membrane. And delivering the biological macromolecules loaded in the exosome into the marine fish sperms. Targeting and tracing are integrated, the targeting can be enhanced through the potential interaction effect of CD81 and sperm surface protein CD9, and real-time tracing of the delivery process can be achieved through EGFP fluorescence.

The invention relates to an intrusive imaging method and device, an imaging system, equipment and a storage medium. The method comprises the following steps: acquiring scanning data of the interventional equipment according to the frequency of a marker on the interventional equipment, and acquiring information of a surrounding environment where the interventional equipment is located according to the center frequency of H protons; the frequency of the marker is different from the center frequency of the H protons; navigating a moving path of the interventional device based on the scanning data and the surrounding environment information; and imaging tissues in a preset range around the intervention equipment according to the center frequency of the H protons under the condition that the intervention equipment moves to the target position. By adopting the method, the intervention equipment can be tracked in real time.