61results about How to "Eliminate limitations" patented technology

The invention discloses a craniocerebral injury degree diagnosis auxiliary system based on a medical image, and relates to the technical field of medical treatment, a primary judgment module can accurately judge whether a patient has the risk of interstitial encephaledema or not by analyzing the accumulation degree of interstitial fluid in white matter and quantitatively calculating a penetration anomaly coefficient Syxs, the ability of early risk screening is provided, and the risk of interstitial encephaledema can be accurately judged. Potential problems can be recognized in time before disease deterioration, a clinician is prompted to intervene rapidly, and therefore the prognosis effect of a patient is remarkably improved. When the risk of interstitial encephaledema exists, the type diagnosis module further distinguishes lesion types (such as brain contusion or other injuries) by extracting related distinguishing features in a multi-modal feature set, calculates a locking coefficient Sdxs, and provides a scientific quantitative basis for diagnosis of lesion types based on specific features of the lesions. According to the accurate type diagnosis method, diagnosis errors can be reduced, and reliable support is provided for clinical decision making.

The invention discloses an electrical equipment operation fault monitoring system, and belongs to the technical field of electrical equipment fault monitoring. Through combination of various sensors, comprehensive real-time monitoring of electrical equipment is realized, running state data of the equipment is captured in real time, comprehensiveness and accuracy of the data are ensured, potential equipment fault types can be accurately identified through digital processing and deep feature extraction, the accuracy and timeliness of fault diagnosis are effectively improved, and the fault diagnosis efficiency is improved. Operation data of multiple devices are integrated through the industrial Internet of Things, the range and precision of fault diagnosis are improved through data sharing and multi-device correlation analysis, faults jointly caused by the multiple devices are comprehensively analyzed and positioned, an intelligent fault diagnosis and optimization scheme is provided for a complex device group, and the fault diagnosis efficiency is improved. The data aggregation optimization unit effectively optimizes the overall operation state of the equipment by adjusting the operation parameters of the equipment, avoids the problems of load imbalance and the like, and improves the operation efficiency of the system.

The invention discloses an audio transmission system based on a tree topology structure, and relates to the technical field of vehicle-mounted audio. The system comprises a host used for obtaining topological information of an audio transmission network and establishing a routing table; the audio transmission network comprises a plurality of audio transmission nodes forming a tree topology structure, and the audio transmission nodes are used for acquiring and analyzing data frames sent by other audio transmission nodes, transmitting the data frames to a target node according to a routing table, generating data frames to be sent according to acquired audio data and control information and sending the data frames to the target node. Querying a routing table to transmit a data frame to a target node; and the peripheral equipment is used for applying the target node connected with the peripheral equipment to process the audio data and collecting the audio data and the control information. The tree topology structure system is constructed, the same routing protocol is adopted for the control information and the audio data, transmission of the audio data and the control information between any nodes is achieved, and the data transmission efficiency and the system flexibility are improved.

The invention provides a pathological image analysis system based on weak supervised learning. The pathological image analysis system comprises a model processing module, an information transmission module and a data feedback module, the model processing module performs image processing and intelligent analysis on the digital pathological section by adopting weak supervised learning to obtain an intelligent analysis result of the digital pathological section; the information transmission module encrypts and transmits the digital pathological section intelligent analysis result to the data feedback module; and the data feedback module generates feedback information according to the intelligent analysis result of the digital pathological section, and presents the feedback information to a pathologist. According to the pathological image analysis system based on weak supervised learning provided by the invention, the dependence on the labeled data is reduced through weak supervised learning, the cost consumption is effectively reduced, the system can adapt to the characteristics of different types of digital pathological sections, the limitation of the pathological image analysis system is eliminated, and the application range of the pathological image analysis system is widened.

A homodyne detection Doppler wind measurement laser radar device based on a silicon optical chip comprises a light source module, a photoelectron chip module, a semiconductor optical amplifier, an erbium-doped optical fiber amplifier, an optical circulator, an optical transceiver antenna, a transimpedance amplifier processing module, an A / D acquisition card module, a digital signal processing module and a display and storage module. Discrete devices such as a beam splitter, a frequency mixer and a detector in an optical fiber link are integrated on one chip, high-density integration with other components is carried out through the photoelectric hybrid packaging technology, and chipping and miniaturization of the all-optical-fiber wind finding radar are achieved. The semiconductor optical amplifier (SOA) is used for chopping, a homodyne detection method is used for eliminating the requirement for frequency shift, and compared with a traditional Doppler wind measurement laser radar, the Doppler wind measurement laser radar has the advantages of being small in power consumption, small in size, light in weight, high in integration level, convenient to produce in a large scale, low in cost of a single device and the like.

The invention provides a scene simulation test method and system, and the method comprises the steps: determining a target vehicle type corresponding to a to-be-tested vehicle in real time when the to-be-tested vehicle is detected in real time; determining a target test scene corresponding to the target vehicle model in real time, and generating a GNSS signal matched with the to-be-tested vehicle in real time through a preset simulation signal simulator based on the target test scene; according to the GNSS signal, drawing a target motion track correspondingly generated by the to-be-tested vehicle in a test process in real time, and according to the target motion track, generating a corresponding test parameter in real time; and outputting a corresponding test result based on the test parameter so as to correspondingly complete the scene simulation test of the to-be-tested vehicle. According to the invention, the test limitation can be eliminated, and the working efficiency is correspondingly improved.

The invention discloses a food quality safety risk assessment method and system, and relates to the technical field of food quality detection.The food quality safety risk assessment method comprises the steps that spectral food packaging images of different wavebands are collected, reflection information is extracted, a spectral image set S is constructed, physical and chemical changes of packaging materials can be deeply reflected, and a feature map set F is generated; potential defects and gas leakage characteristics in the package are effectively extracted, environment changes inside and outside the food package and the influence of the environment changes on food quality safety are revealed by calculating a gas leakage index G and a moisture permeability index H, an accurate quality risk assessment value R is obtained, and the quality risk assessment value R is compared with a preset integrity assessment threshold value Rth. The safety risk of the package is evaluated in real time, corresponding control measures are triggered, timely prevention and control of the risk are ensured, the limitation of purely depending on appearance detection is eliminated through deep analysis of spectral image data, and a more reliable technical means is provided for high-precision and nondestructive detection.

The invention discloses a detection method and device of a battery cell module and test equipment. According to the method, two switch groups are arranged in the test equipment, each switch group comprises N switches, the switches are connected with the output ends of N battery cell monomers connected in series in a battery cell module, so that the detection of the battery cell monomers is realized, the state of each switch is adjusted in sequence, and the detection accuracy of the battery cell monomers is improved. And the detection voltage between the first common end and the second common end is obtained after each adjustment, so that the output voltage of each battery cell monomer or the output voltage after a plurality of battery cell monomers are connected in series can be accurately obtained. Through multiple detection voltage analysis, whether the battery cell module has a broken line problem or not can be detected, and whether a pseudo soldering problem exists or not can be judged, so that the detection precision and reliability are greatly improved; in addition, the process is controlled through a processor, automation can be achieved, limitation in traditional manual detection is eliminated, production efficiency is improved, and detection cost is reduced.

The invention discloses an iron tower monitoring collaborative data processing method based on cross-modal data association, and relates to the technical field of iron tower operation and maintenance, and the method comprises the following steps: deploying a high point monitoring device, an unmanned aerial vehicle and an unmanned vehicle at an iron tower in advance; the method comprises the following steps: performing standardized preprocessing on video streams and radar point clouds acquired by high-point monitoring, RGB images acquired by an unmanned aerial vehicle, an infrared thermodynamic diagram, laser point clouds, ground laser point clouds acquired by an unmanned vehicle and vibration data, mapping multi-modal data to a unified three-dimensional coordinate system, extracting common features and associated features through an improved Transform model, and judging effective associated data. According to the method, the core problem of cross-modal data fusion is solved by adopting a space-time correlation and feature correlation two-dimensional model, and multi-modal information such as video frames, point cloud data and vibration signals collected by different devices is mapped to the same space-time dimension by unified three-dimensional coordinate system construction and timestamp accurate alignment. And the originally isolated data is enabled to generate spatial relevance.

The invention discloses an embracing and grabbing actuator with a multi-dimensional clamping function, which comprises a transmission part comprising a limiting support seat for fixing a connecting rod and a dynamic sealing limiting block, a lead screw nut hinged with a base connecting rod, a transmission lead screw in threaded connection with the lead screw nut, and a linear guide optical shaft fixed on the limiting support seat; the upper surface of the limiting supporting seat is connected with the inner top face of the transmission shell in an attached mode. The driving part comprises a secondary planetary reducer fixedly connected to the left end of the transmission lead screw, a driving shell fixed to the bottom face of the transmission shell and a driving motor connected with the left end of the secondary planetary reducer. Compared with a tail end grasping actuator of an isomorphic three-clamping-finger structure, the grasping actuator has the capacity of clamping targets of various shapes from various directions by designing the finger type of the special-shaped staggered cylindrical curved surface structure, the limitation that a traditional three-clamping-finger structure can only conduct a clamping task in the single axis direction is eliminated, and the grasping efficiency is improved. And the clamping operation performance of the gripping actuator in a complex environment is improved.

The utility model discloses a new energy driving motor rotor assembling and fixing device, which relates to the technical field of fixing devices and comprises a base, a rotating shaft is rotatably connected to the middle of the upper end of the base, a limiting plate is fixedly connected to the upper end of the rotating shaft, and a supporting rod is fixedly connected to the outer side of the rotating shaft. A nut is in threaded connection with the outer side of the supporting rod, a second fixing rod is fixedly connected to the upper end of the lantern ring, a first fixing rod is slidably arranged in the second fixing rod in a penetrating mode, and a plurality of fixing holes are formed in the outer side of the first fixing rod and the outer side of the second fixing rod; the problems that in the prior art, a rotor is adjusted to a corresponding machining station through rotation of a rotating shaft, due to the fact that the rotating shaft is arranged in a rotating mode, rotation is prone to occurring during machining, a lantern ring can slide on the rotating shaft and is used for fixing workpieces of various sizes, and due to the fact that the lantern ring is arranged on the outer side of the rotating shaft in a sliding mode, the rotating shaft cannot rotate easily, and the rotating shaft cannot rotate easily are solved. And sliding is prone to occurring in the machining process.

The application provides an intelligent cruise garbage pickup and classification vehicle, method, equipment and medium to solve the problem that the existing laser radar can only obtain two-dimensional point cloud data and cannot identify garbage material, volume and other characteristics. The garbage pickup and classification vehicle comprises the following components: an upper computer, a lower computer, a laser radar, a depth camera, an odometer, an IMU, a mechanical arm and a wireless communication port. Through the heterogeneous data cooperation of the laser radar and the depth camera, the limitations of a single sensor are effectively eliminated. The laser radar provides high-precision two-dimensional spatial information, and the depth camera supplements three-dimensional geometric and visual semantic features, significantly enhancing the comprehensive perception ability of the garbage material, shape and volume. This fusion not only solves the problem of garbage material misjudgment in the traditional scheme, but also supports the adaptive grabbing strategy of the mechanical arm, reducing the risk of grabbing failure caused by environmental complexity. A double-bus communication redundancy design is adopted to ensure the stable transmission of key signals.

The present application relates to the technical field of automatic control and machine vision, and particularly relates to a path planning and blind area elimination method for a crawler-type cleaning robot, which comprises the following steps: collecting a photovoltaic module surface image through a vision sensor arranged on a robot body, extracting photovoltaic cell grid line features and establishing a local coordinate system; generating a path reference line based on the grid line direction, and calculating a lateral deviation and an angle deviation between a current position of the robot and the path reference line in real time; dynamically adjusting a robot walking path through a fuzzy control method; dynamically adjusting a cleaning interval by calculating a current cleaning width and an expected overlap rate; and executing an obstacle crossing or board crossing decision based on an inclination angle data when sensor data conflicts. A multi-sensor data fusion technology improves the anti-interference capability of the robot, so that the robot can stably operate in a strong light, a reflective light and the like.

The chain system fixed-point resampling method belongs to the technical field of rotating machinery signal processing, and aims to solve the problems that the time domain signal regularity of a single chain link is poor, the dynamics characteristics of the whole system are difficult to directly reflect, and the frequency domain feature extraction cannot be performed. The method comprises the following steps: extracting original data of discrete motion units from multi-body dynamics simulation results; at the preset data monitoring point position of the system, the nearest discrete motion unit is searched as a monitoring unit in real time by calculation; according to the data type, one of a direct method, a synthetic method and an average method is adopted to process the original data of the monitoring unit, and feature data representing the dynamics state of the fixed position are generated; and finally, the feature data are written into a file in time sequence. The time sequence data of the fixed position are collected through the fixed-point resampling method, and the problems that the data is strong in contingency, poor in regularity, and difficult to perform in-depth frequency domain and statistical analysis due to tracking a single motion unit are solved.

This invention discloses a method and system for quantifying the color discrimination ability of both natural and artificial light sources. The method first measures the spectral power distribution of the light source to be evaluated. S ( l The illuminance E was then calculated; subsequently, the neutrality index of the light source was calculated in a uniform color space. S neutral The continuous color difference index (SCD) is calculated based on the chromaticity values ​​of a set of continuous color samples in a uniform color space; a segmented illuminance correction function is output according to the illuminance range; finally, the neutrality index is... S neutral The continuous color difference index (SCD) and illuminance correction function are uniformly input into a preset light source color discrimination capability quantification model G to calculate a comprehensive evaluation value. This invention comprehensively quantifies color discrimination capability from three dimensions: spectral characteristics of the light source, neutrality, and illuminance level. It effectively solves the technical problems of existing models failing to represent the spectrum under natural light and being unable to accurately quantify the nonlinear visual response of the human eye under extremely large illuminance spans.

The invention relates to the technical field of computer vision, and discloses an image and point cloud-based pose determination method and device, an operation machine and a medium, the method is applied to the operation machine, the operation machine comprises a laser radar and an image acquisition device, and the method comprises the steps of determining a first pose of the image acquisition device based on a visual identifier; according to the first pose and a first external parameter, determining a visual constraint on a second pose of the working machine, the first external parameter being an external parameter of a pre-calibrated image acquisition device relative to the laser radar; according to multiple frames of point clouds collected by the laser radar, point cloud constraints on the pose of the operation machine are determined; and determining a second pose of the working machine according to the visual constraint and the point cloud constraint. According to the method provided by the invention, the visual constraint is introduced, and the multi-source information constraint of the visual constraint and the point cloud constraint is constructed, so that a more robust, stable and accurate pose result can be obtained.

The application provides a novel feature up-sampling method for semantic segmentation, which improves the resolution of an image by combining pixel reorganization Pixel Shuffle with an attention mechanism, prevents a chessboard effect, and avoids a 0 filling operation on unknown pixel points compared with a previous traditional up-sampling module; secondly, the attention mechanism is introduced to combine global information with local information, obtain a feature map with a larger receptive field and more detailed information, increase effective feature information, and realize the function of effectively improving the segmentation performance of the network. The application has universality, eliminates the limitations of previous methods by simply replacing all up-sampling modules, obtains more representative feature mappings, obtains an enlarged image with good features, makes the restored image obtain more feature information, and is beneficial to improving the segmentation result of the network model.

The utility model discloses a kind of medicine applying devices for gynaecology vaginitis, belong to gynaecology medical instrument technical field, a kind of medicine applying device for gynaecology vaginitis, including push plate, push plate front end is fixedly connected with medicine applying structure, medicine applying structure inside is threadedly connected with injection structure, push plate rear end is fixedly connected with limit ring, push plate inner surface and limit ring inner surface are threadedly connected with push structure, it is cooperated by medicine applying structure and push structure, when gynaecology doctor treats vaginitis patient, capsule, tablet and powder drug can be quickly sent into patient vagina, complete medicine applying, by injection structure and medicine applying structure and push structure cooperation, so that device can also complete liquid medicine applying, eliminate limitation, by push structure, so that the controllability of device is higher, can effectively avoid to cause harm to the inside of patient's vagina, can realize the function of convenient liquid medicine and high operating precision, improve the practicality of device.

The present invention relates to the field of intelligent interactive technology, and discloses a multifunctional touch-control integrated machine, including a bracket longitudinal beam, the bottom of which is movably connected to an integral bracket universal wheel, the top of which is fixedly connected to a bracket column, the outer side of which is fixedly connected to a bracket crossbeam, and the inner side of which is slidably connected to a touch-control combination frame. The multifunctional touch-control integrated machine uses an optical camera, as well as an optical camera back cover and an optical camera front cover, and uses an industrial camera as an image capture device, which greatly improves the accuracy of the touch effect and the response speed of milliseconds. The traditional infrared touch has low sensitivity, and in actual application, there will be a phenomenon of ghosting. More than three cameras are arranged around the screen to receive images reflected by the reflective film from multiple angles and in all directions, and the control board performs signal processing to finally achieve positioning.

The application relates to the technical field of artificial intelligence, and discloses a highway side slope deformation intelligent identification and prediction system based on space-air-ground stereoscopic monitoring, which comprises a space-air-ground stereoscopic monitoring module, a data fusion processing module, an intelligent identification module, a deformation prediction module and a central control module; the space-air-ground stereoscopic monitoring module cooperatively collects side slope deformation data by using multi-source heterogeneous sensors, including space satellite remote sensing data, sky unmanned aerial vehicle aerial photography data and ground Internet of Things sensor data, realizes all-weather and multi-scale monitoring of side slope surface displacement, internal stress, crack expansion and environmental factors, guarantees the comprehensiveness and real-time performance of the monitoring data, and eliminates the limitations of a single data source; the data fusion processing module performs space-time registration, denoising and normalization processing on the multi-source monitoring data, guarantees the accuracy and reliability of real-time deformation risk diagnosis, and reduces the false alarm rate.

The present invention relates to the technical field of sludge and coal sludge material processing equipment, and specifically to a sludge guiding, lifting and dispersing device, comprising a feeding barrel and a dispersing mechanism, the feeding barrel is driven to rotate by a driving mechanism, a conveying sheet for conveying materials and a plurality of material-dispersing rings for dispersing and drying are arranged on the inner wall of the feeding barrel, the dispersing mechanism is fixed in the feeding barrel, a plurality of first dispersing layers and a plurality of second dispersing layers are fixed on a connecting shaft of the dispersing mechanism, the connecting shaft is connected to the inner wall of the feeding barrel through the first dispersing layer so that it rotates synchronously with the feeding barrel, the first dispersing layer comprises a plurality of first dispersing plates for dispersing materials, a plurality of second dispersing layers are fixed on the connecting shaft, a plurality of second dispersing layers comprises a plurality of second dispersing plates for dispersing materials, the second dispersing plates are shorter than the first dispersing plates so that they can disperse materials while avoiding affecting the conveying of materials, and the multi-section feeding barrels of the present device can be connected and extended, thereby eliminating the length limitation of the existing processing equipment.

The invention discloses a training method of a suspicious domain name detection model and a suspicious domain name detection method and device, and relates to the technical field of computers. The method comprises the steps of obtaining a training sample set; extracting a target feature vector of the training sample set, wherein the target feature vector is used for indicating a generation rule of the suspicious domain name; and training the classification model according to the training sample set and the target feature vector to obtain a target suspicious domain name detection model. The target feature vector is obtained according to feature analysis of the training sample and can reflect the generation rule of the suspicious domain name, so that the detection model obtained according to the target feature vector training can detect the suspicious domain name outside the training sample set, thereby eliminating the limitation of suspicious domain name detection, enabling the extracted feature to be more targeted, and improving the detection efficiency. A more accurate suspicious domain name detection model is obtained, and the suspicious domain name is identified more accurately.

The invention relates to the technical field of tunnel engineering, and discloses a tunnel soft rock large deformation assessment method based on multi-source parameter analysis, and the method comprises the steps: firstly constructing an assessment model based on a grey clustering theory, and carrying out the preliminary risk classification of tunnel surrounding rock; after a tunnel face is revealed through tunnel excavation, apparent characteristic data are quantitatively collected, a comprehensive score is calculated, and an apparent large deformation level is determined; meanwhile, a BP neural network model optimized through a particle swarm optimization algorithm is utilized, and the cumulative deformation of the surrounding rock is predicted based on multi-source input parameters; calculating a strength-stress ratio by combining ground stress and rock mass strength data actually measured on site, verifying and correcting the preliminary grade, and determining a final comprehensive large deformation grade; and finally, mapping the grades into support parameters, and executing dynamic adjustment based on monitoring data. According to the method, through the fusion of theoretical calculation, field quantitative scoring and intelligent prediction, accurate judgment and closed-loop control of large deformation of the soft rock are realized, and the construction risk is effectively reduced.

The present invention belongs to the technical field of MC-PMSM system and discloses a method for minimizing the common mode voltage of a matrix converter permanent magnet synchronous motor using model predictive control. According to the current reference value, the voltage vector required for the next cycle, i.e., the reference voltage vector V * ; According to the input voltage phase angle θ in and the phase angles of the six rotating vectors, compare the phase angle of the reference voltage vector with the phase angles of each rotating vector, and determine the sector where the reference voltage vector is located; according to the sector where the reference voltage vector is located and θ in , the obtained vectors are formed into a candidate vector set; each vector in the candidate vector set is substituted into the value function, the obtained function values ​​are compared, and the vector with the smallest function value is selected as the voltage vector of the next control cycle MC. The present invention improves the steady-state performance of torque and current while eliminating the common mode voltage.

The invention belongs to the technical field of biology, and particularly relates to a method for analyzing glycan on single extracellular vesicles in a fluid sample. The method comprises the following steps: capturing and manipulating EV by using magnetic nanoparticles, singly separating the captured EV by using polydisperse micro-droplets based on the specific affinity effect of lectin on a specific glycan structure, realizing local signal amplification in the droplets through an enzymatic reaction, and performing image acquisition on the droplets by using a fluorescence microscope. Therefore, recognition and analysis of glycan components on a single EV are realized. According to the preparation process for forming the micro-droplets through the oscillation emulsification method, the whole detection process is simpler, more convenient and quicker, no micro-fluidic chip or special device is needed, the detection process can be completed in a centrifugal tube, meanwhile, all the micro-droplets are parallel and quickly generated, and the quantity of the micro-droplets can be flexibly expanded. Compared with the traditional ELISA, the method provided by the invention has the advantages of high sensitivity, low detection limit and small sample consumption.

The present invention provides a method for identifying tight pulse characteristics based on measuring the transverse position change of pulse wave by a sensor array. The sensor array includes at least 4 pressure sensors, each of which is arranged along a first direction, and the first direction is set at an angle with the extension direction of the radial artery. The method for identifying tight pulse characteristics in traditional Chinese medicine includes: obtaining the pulse pressure value of each pressure sensor at the same time; obtaining multiple pressure sampling points, and connecting each pressure sampling point into an envelope curve; obtaining multiple envelope curves in the same pulse cycle, selecting the envelope curve corresponding to the maximum value of the ordinate as the pressure distribution curve of the pulse cycle, taking an identification point in each pressure distribution curve to represent the position of the pressure distribution curve, and counting the change amount of the abscissa of each identification point; comparing the change amount with the tight pulse judgment threshold, and obtaining the tight pulse characteristic recognition result. The method for identifying tight pulse characteristics based on measuring the transverse position change of pulse wave by a sensor array of the present invention can identify complex pulse conditions such as tight pulse.

The invention discloses a fan anti-stall calculation method and system based on dial plate parameters, and the method comprises the steps: obtaining the flow, total pressure, efficiency and blade angle of fan operation through measurement and calculation, and recording the dial plate opening degree and the dial plate pressure difference; the actually measured fan total pressure-dial pressure difference is obtained; a comparison result is obtained; obtaining a function relationship between the dial plate opening degree and the blade angle marked by the design performance curve when the fan leaves the factory; calculating to obtain safe total pressure under each opening degree; and when the measured safe pressure difference value of the dial plate is reached during operation, continuing to increase the load is stopped, or the pressure difference of the dial plate is reduced. The system comprises a measurement and calculation module, a calibration module, a comparison module, a fitting module, a calculation module and an execution module. According to the method, no measuring equipment is added, the safety pressure difference value of the dial plate under each opening degree on the dial plate is calculated only depending on the dial plate display value and serves as an operation reference, and the robustness is high.

The invention provides a mail processing method and device, electronic equipment, a storage medium and a program product, and relates to the field of financial science and technology or other related fields. The method comprises the steps of obtaining text content of a mail and metadata related to a sender, processing the text content through a classification model to generate first probability distribution, and generating second probability distribution based on the metadata and historical data of the sender, and the category of the mail can be determined by fusing the first probability distribution and the second probability distribution. Through two-channel processing of email text semantics and metadata, the limitation of single semantic features can be eliminated, the ambiguity and wrong classification problems of semantically similar emails are solved, the email classification accuracy is improved, and the subsequent processing flow can be conveniently carried out based on the email classification result.

The invention relates to the technical field of animation production, and particularly discloses adjustable tracking shooting equipment, which is used for solving the problem of inconvenience in shooting and capturing in the prior art. Comprising a mounting ring seat fixedly arranged on the outer side of a stage, a walking arc frame is erected above the mounting ring seat, a walking notch is formed in the middle of the walking arc frame, and at least two shooting parts used for obtaining information of the front face and the back face of an actor are arranged in the walking notch in a matched mode. According to the invention, two oppositely-arranged camera groups need to be constructed in the prior art, the image information of the front and back surfaces of the actor can be synchronously acquired, the two camera groups can be synchronously adjusted during adjustment, the front and back camera groups are combined, the camera quality is greatly ensured, in addition, the image information of the top and feet of the actor can be acquired, and the image information of the top and feet of the actor can be acquired. The range of image acquisition is wider, and the limitation of adjustment in the prior art is eliminated.

This invention discloses a weightlessness simulation exercise aid device, relating to the field of fitness equipment technology. Specifically, it includes: a support part; a frame for fixing the fitness equipment, and a third movable frame that can move freely in the XY plane is provided inside the frame. The support part is slidably mounted on the third movable frame along the Z direction, and a floating lifting cylinder is provided inside the third movable frame to inhibit the sliding of the support part. This weightlessness simulation exercise aid device separates the weightlessness aid from the fitness equipment, allowing the fitness equipment to be used independently in space. The weightlessness aid part can be used to verify the performance of other space fitness equipment. Moreover, by using a floating support part, it can meet the needs of users to exercise in positions other than lying down, thereby solving the problem of limited usage scenarios.