45 results about "Coverage space" patented technology

The invention relates to the technical field of multi-modal sensors, in particular to a multi-modal sensor embedded self-calibration system and a real-time compensation method, and the method comprises the following steps: S1, data acquisition: a multi-modal data acquisition mode is adopted, a multi-modal data acquisition module is responsible for acquiring original data of a camera, an inertial measurement unit and a microphone, and the original data of the camera, the inertial measurement unit and the microphone are acquired; the camera collects image data at the frequency of 30 Hz. The method has the advantages of comprehensive data acquisition, accurate data processing, comprehensive and deep feature extraction, scientific and flexible calibration parameters and efficient and continuous real-time compensation, and a multi-modal data fusion technology is adopted in the actual use process; a composite sensing system covering space positioning, dynamic sensing and acoustic analysis is constructed, and the multi-source heterogeneous data fusion scheme can comprehensively capture multi-dimensional features in a complex scene.

The invention discloses a real-time human body posture tracking method and system for an XR scene, relates to the technical field of computer vision, solves the technical problems that a modal barrier of vision and time sequence characteristics cannot be broken through and a diffusion model is degraded, and aims at RGB images, dynamic Gaussian filtering and ROI cutting, noise is restrained, a human body area is focused, and the real-time human body posture tracking effect is achieved. Historical attitude normalization covers space, time and physiological constraints, physical significance consistency of input data is ensured, multi-dimensional and scene-adaptive preprocessing is realized, a data foundation is laid for a subsequent algorithm, a cross attention mechanism breaks through modal boundaries of vision and time sequence features, multi-modal condition vectors are generated, and a multi-modal model is established. And meanwhile, the current limb appearance and the historical motion trend are coded, an accurate reasoning basis is provided for the diffusion model, dynamic and scene-adaptive feature collaboration is realized, a theoretical attitude is constructed based on the first five frames, the theoretical attitude and the diffusion model are preliminarily predicted and dynamically fused, and details are reserved when motion inertia is fit.

Disclosed in the present invention is a people flow analysis system based on Internet of Things information acquisition. The system comprises a data acquisition module, a data storage module, a people flow statistics module, an obstruction analysis module, a coupling analysis module and a predictive analysis module. The data acquisition module acquires all people flow data of a laboratory server room by means of an image acquisition apparatus; then, the people flow statistics module separately performs crowd density analysis, wherein an average distance is determined by means of hierarchical and clustering analysis of head labeling points, and further a Gaussian function is used to determine the size of heads, thus solving the problem of uncertainty caused by a nearest neighbor method when crowd densities are low and uneven; the obstruction analysis module performs feature fusion on features of an obstacle in a coverage space and neighboring crowds to obtain a new data set; the predictive analysis module performs overall people flow predictive analysis on the basis of the new data set and people flow data of crowds not adjacent to the obstacle. Therefore, the accuracy of people flow analysis and control efficiency are greatly improved.

The invention relates to the technical field of aircraft route design, in particular to a Beidou grid-based low-altitude aircraft three-dimensional route design method, which comprises the following steps of: performing airspace type subdivision processing on a target flight area in a flight space model; judging the airspace available state of the airspace type; dividing an initial route coverage space of the target low-altitude aircraft; carrying out conflict investigation on the airspace use condition in the initial route range; when the conflict checking result is a conflict-free state, performing arc fitting on the air route space trajectory of the target low-altitude aircraft; and verifying the fitted route trajectory, and if the current airspace state is changed, adjusting the fitted route trajectory to obtain a three-dimensional route design scheme. According to the method, the airline can be planned by combining airspace type division and a dynamic available state, the airline can be changed and adjusted according to the real-time airspace, and the flexibility and safety of airline planning are improved.

The invention discloses a distribution network scheduling operation risk assessment method, system, device and medium, and the method comprises the steps: obtaining the information data of a distribution network, building a scheduling operation risk assessment system according to the information data of the distribution network, and enabling the scheduling operation risk assessment system to comprise a node voltage out-of-limit risk index and a branch power flow out-of-limit risk index; carrying out sampling simulation on the power distribution network information data to generate an initial scene, and carrying out scene reduction on the initial scene to obtain a typical scene; carrying out load flow calculation on the typical scene to obtain a node voltage value and a branch load flow value; and combining the scheduling operation risk assessment system with the node voltage value and the branch load flow value to calculate a power distribution network scheduling operation risk value, and outputting a risk assessment report. According to the method, the influence of various uncertainties in the distribution network on scheduling operation risk assessment is considered, and simulation sampling is performed on wind power, photovoltaic power and load by using LHS + important sampling, so that the variables are more uniform, and the coverage space is larger.

The invention provides a crystalline silicon solar cell, a laser sintering pattern, a processing method and related equipment, and relates to the technical field of solar cells. According to the method, redundant laser sintering coverage space is provided for the crystalline silicon solar cell through the laser sintering pattern, so that the corresponding crystalline silicon solar cell can be sintered to the maximum extent, and the problem of edge blackening of the corresponding EL test image is effectively solved; meanwhile, the laser sintering pattern can also ensure that the middle area of the crystalline silicon solar cell is subjected to two times of laser scanning processing, so that carriers corresponding to the middle area are fully excited to form enough metal silicon contact points, the problem of pocking marks or blackening in the middle of an image corresponding to an EL test image is effectively solved, and the performance of the solar cell is improved. Therefore, on the basis that the metal contact resistance of the corresponding solar cell is effectively reduced by using the laser-induced sintering technology, the photoelectric conversion efficiency and the cell production yield of the corresponding solar cell are effectively improved.

A three-dimensional (3D) mask includes a front blocking piece, and bendable upper and lower shielding pieces connected to an upper and a lower edge of the front blocking piece, respectively. When the upper and lower shielding pieces are unfolded from the front blocking piece, the three pieces together define a covering space for accommodating a user's mouth and nose. The front blocking piece includes at least one longitudinal folding line that changes an original transverse length of the front blocking piece into a target transverse length matching the length of the upper and lower shielding pieces and enables the front blocking piece to have increased air contact area within limited transverse length and accordingly, reduced breathing resistance. The longitudinal folding line also provides the covering space with increased supporting force, preventing the 3D mask from collapsing easily when the user breathes.

An example is a non-transitory computer-readable storage medium including stored instructions. The instructions, which when executed by one or more processors, cause the one or more processors to: obtain an assignment of an assigned bucket; generate stimulus values targeting one or more uncovered bins of the assigned bucket; simulate operation of a circuit design using the stimulus values; determine whether the assigned bucket has been covered by the simulated operation of the circuit design; and expand a size of the assigned bucket following a determination that the assigned bucket has been covered. The assigned bucket, as assigned, has a subset of bins of a functional coverage space.

The invention discloses a large-scale hybrid beam forming array construction method based on a passive beam forming network, and belongs to the field of radio frequency systems. According to the method, the array is divided into a plurality of active sub-modules (each sub-module comprises a radiation unit array, a passive beam forming network, a multi-channel radio frequency module and a digital-to-analog conversion module), and the layered beam forming technology of a digital baseband processing module is combined, so that the balance of high performance and low complexity is realized. The method specifically comprises the following steps: 1) dividing a coverage space into a plurality of sub-regions by using a passive beam forming network, localizing a digital beam forming matrix into a block diagonal matrix, and reducing the calculation amount; 2) a large-scale array is constructed through flexible expansion of sub-modules, and full-aperture gain is ensured; and 3) the radio frequency channels of the idle sub-regions are dynamically turned off so as to save energy consumption. In scenes such as 5G / 6G millimeter wave communication, radar imaging and the like, the system power consumption and the calculation complexity are remarkably reduced, and meanwhile, the performance of a full-digital beam forming array is approached.

The invention discloses an active beam forming array construction method and system supporting concurrent beams, and belongs to the field of radio frequency systems. According to the method, an array is divided into a plurality of active sub-modules (each sub-module comprises a radiation unit array, a passive beam forming network and a multi-channel radio frequency module), and a combiner is combined to realize a plurality of beams which can be independently controlled, so that the balance of high performance and low complexity is realized. The method specifically comprises the following steps: 1) dividing a coverage space into a plurality of sub-regions by using a passive beam forming network, so that the beam of each sub-region can be freely and flexibly controlled; 2) a large-scale array is constructed through flexible expansion of sub-modules, and full-aperture gain is ensured; and 3) the radio frequency channels of the idle sub-regions are dynamically turned off so as to save energy consumption. In scenes of 5G / 6G millimeter wave communication, satellite communication and the like, system complexity and power consumption can be reduced, and simultaneous working of a plurality of concurrent beams can be realized.

The application discloses a network resource allocation method and device, a processor and a storage medium. The method comprises the following steps: determining the base station type of a base station to which a terminal to be allocated belongs, wherein the base station type is used to indicate the type of the base station in a coverage space; connecting the terminal to be allocated to a corresponding target network based on the base station type; in response to the successful communication of the terminal to be allocated in the target network, acquiring the radio frequency parameter of the terminal to be allocated, wherein the radio frequency parameter is used to indicate the communication state of the terminal to be allocated; determining the resource allocation strategy of the terminal to be allocated based on the radio frequency parameter, wherein the resource allocation strategy is used to indicate the rule of allocating network resources to the terminal to be allocated; and allocating network resources to the terminal to be allocated according to the resource allocation strategy. The application solves the technical problem that network resources cannot be accurately allocated.

A three-dimensional (3D) mask includes a front blocking piece, and bendable upper and lower shielding pieces connected to an upper and a lower edge of the front blocking piece, respectively. When the upper and lower shielding pieces are unfolded from the front blocking piece, the three pieces together define a covering space for accommodating a user's mouth and nose. The front blocking piece includes at least one longitudinal folding line that changes an original transverse length of the front blocking piece into a target transverse length matching the length of the upper and lower shielding pieces and enables the front blocking piece to have increased air contact area within limited transverse length and accordingly, reduced breathing resistance. The longitudinal folding line also provides the covering space with increased supporting force, preventing the 3D mask from collapsing easily when the user breathes.

The application provides a kind of multi-agent parallel scheduling method.It relates to computer path planning and distributed control technical field, steps include: constructing the perception domain that completely surrounds target agent and the buffer domain outside side;In the process of planning promotion, read the space-time occupation information of the space region covered by perception domain;If there is pre-occupation, calculate whether there is space-time overlap in a certain time interval;If there is space-time overlap, determine the highest authority agent in the competition area;If target agent is determined as the highest authority agent, write or update the authority flag of target agent in the competition area, and continue to plan candidate trajectory node towards the competition area;If target agent is determined as non-highest authority agent, suspend the expansion of candidate trajectory node;When the perception domain of target agent passes along the planned trajectory and departs from the competition area after planning promotion, reset the authority flag in the competition area.

This provides a column-separated inflatable mattress structure. [Solution] The column-separated inflatable mattress structure includes an outer cover, a covering space, at least one first divider, and an air column. The column-separated inflatable mattress structure includes an outer cover, a covering space, a plurality of first dividers, at least one second divider, and an air column. By implementing the present invention, the column-separated inflatable mattress structure can be easily installed, operated, or stored, the separable outer cover and air column effectively and significantly reduce shaking, it is easy to remove for cleaning, repair, and replacement, and even if the outer cover or air column is damaged, the column-separated inflatable mattress structure can continue to be used quickly, it is easy to manufacture, and various column-separated inflatable mattress structures of different sizes can be produced using a single mold.

The present invention discloses a method for generating a multi-objective non-inferior solution set for inter-basin water transfer based on a convex set feasible domain. The method comprises the following steps: collecting hydrological data from the study area, selecting a primary objective function from pre-constructed objective functions, constructing a plane set covering the entire spatial angle, and searching for boundary points of the target space corresponding to other objective functions; pre-processing the boundary points of the target space, and constructing a convex set boundary range of the target space using a spatial boundary convex hull algorithm; generating an ε-constrained threshold combination within the convex set boundary range of the target space; and for each ε-constrained threshold combination, converting the multi-objective optimization problem into multiple single-objective optimization sub-problems, solving each of these sub-problems using a sparse optimization interior point method, to generate a non-inferior solution set for the inter-basin water transfer scheme. The present invention effectively reduces the possibility of generating infeasible solutions and duplicate solutions in traditional ε-constrained algorithms, and improves the efficiency and quality of generating non-inferior solution sets.

The application discloses a wireless network dynamic coverage optimization system with intelligent sensing, and belongs to the technical field of wireless networks.The system comprises a user management module, a coverage sensing module, an analysis and evaluation module, a control module and an adaptive module.The user equipment position information is mapped to a Riemann manifold, geometric features and topological features are extracted, and a manifold convolution neural network is constructed, so that intelligent sensing, accurate evaluation and dynamic optimization of network coverage are realized.The core innovation of the system lies in Riemann manifold wireless signal coverage space modeling based on differential geometry theory and a coverage quality deep learning evaluation model based on a manifold convolution network.The network coverage quality is comprehensively evaluated by calculating a coverage cavity factor, an overlapping coverage factor, a hot area coverage factor and a user perception factor, and dynamic optimization is realized through adaptive antenna parameter adjustment.

The invention provides a deodorization and sterilization air purifier which comprises an air purifier body. The air purifier body is provided with a purification cavity and an air suction cavity from bottom to top. A purification cylinder is fixedly arranged on the bottom wall of the purification cavity and is of a multi-layer structure; a plurality of air inlets communicating with the purification cavity are formed in the periphery of the air purifier, and grating plates are detachably mounted on the air inlets; the upper end of the air purifier is fixedly connected with a driving box, the driving box is provided with an air distribution cavity and a driving cavity from bottom to top, and a plurality of release heads are arranged on the periphery of the driving cavity and can swing in a pitching mode. According to the invention, the two purification cylinder structures of radial multi-layer and axial segmentation are matched with the ultraviolet lamp to excite photocatalysis, so that the deodorization and sterilization effects are obvious, the air purifier is adaptive to multi-pollution scenes, the release head can pitch and swing, air can be directionally supplied to a pollution area or a large-range coverage space, the problem of a dead zone of a fixed air outlet is solved, and the purification efficiency is improved.

The invention belongs to the technical field of medical image processing. The wearable ultrasonic equipment comprises a beam forming logic unit and a flexible attaching structure used for being attached to a to-be-detected part, and the beam forming logic unit is arranged on the flexible attaching structure; the beam forming logic unit comprises an ultrasonic phased array sensor composed of a plurality of array elements, focusing and scanning at any position under the coverage area of the ultrasonic phased array sensor are carried out according to conversion of excitation signals of the array elements, and finally an ultrasonic image is generated. According to the invention, focusing and scanning at any position in a space area covered by the ultrasonic phased array sensor are realized, and the ultrasonic intensity and uniformity are enhanced, so that a sound field area is expanded to enable an ultrasonic image to cover a larger area of an organ of interest, and the environmental applicability of wearable ultrasonic equipment is improved.

The application relates to the technical field of simulation design, and discloses a construction equipment operation space calculation method, device, equipment and storage medium. The method comprises the following steps: performing simulation modeling on the construction equipment to generate a simulation equipment model; performing motion decomposition on a component model in the simulation equipment model to extract motion attribute features, master-slave features and operation features of each component model in the simulation equipment model; and determining an operation coverage space and an operation influence space of the simulation equipment model according to the motion attribute features, the master-slave features and the operation features of the component model. According to the embodiment of the application, the construction equipment can be simulated and designed, and the rationality and scientificity of the construction equipment can be improved.

The invention relates to the technical field of computational fluid mechanics and computational geometry, and discloses a non-recursive retrieval method of spatial points on a given grid region, comprising the following steps: S1, initializing parameters of a balanced binary tree retrieval structure; s2, opening up dynamic memories of internal members in the binary tree structure; s3, calculating critical bounding box parameters in background grid body units; s4, generating a link relationship of balanced binary tree nodes in a non-recursive manner; s5, globally stipulating geometric data of the spatial points to be retrieved; s6, performing non-recursive retrieval on contribution units covering the spatial points; and S7, returning a pairing relationship between the spatial points and the contribution units. The problems of low retrieval efficiency and the like in the prior art are solved.

The invention discloses a method for detecting the existence and state of a shaping needle, and the method comprises the following steps: S1, a detection assembly is arranged at the outlet ends of two conveying rollers, the detection assembly comprises a light projector and a light receiver, and a light coverage space is formed between the light projector and the light receiver; when the shaping needle does not enter the light coverage space, the luminous flux received by the light receiver is A, and when the shaping needle is just put into the two conveying rollers, the luminous flux received by the light receiver is B; a threshold value C is set, and C is larger than or equal to B and smaller than A; s2, after the unshaped part is placed between the two conveying rollers, when the luminous flux is changed from A to B, it is judged that the shaping needle is successfully placed into the two conveying rollers; and S3, two conveying rollers are controlled to rotate, meanwhile, the luminous flux received by the light receiver is detected, the detected luminous flux is compared with C, and whether the shaping needle is qualified or not is judged. The method provided by the invention can reliably detect the unshaped part with a small diameter.

The invention discloses an intelligent sensing wireless network dynamic coverage optimization system, and belongs to the technical field of wireless networks, the system comprises a user management module, a coverage sensing module, an analysis and evaluation module, a control module and a self-adaption module, the position information of user equipment is mapped into a Riemannian manifold, geometric features and topological features are extracted, and the optimal coverage of the wireless network is obtained. A manifold convolutional neural network is constructed, intelligent perception, accurate evaluation and dynamic optimization of network coverage are realized, and the core innovation point of the system is Riemannian manifold wireless signal coverage space modeling based on a differential geometry theory and a coverage quality deep learning evaluation model based on the manifold convolutional network. The network coverage quality is comprehensively evaluated by calculating a coverage hole factor, an overlapping coverage factor, a hot area coverage factor and a user perception factor, and dynamic optimization is realized through adaptive antenna parameter adjustment.

To provide a column-separated inflatable mattress structure. [Solution] A separate-column inflatable mattress structure includes an outer cover, a covered space, at least one first divider, and air columns. The separate-column inflatable mattress structure includes an outer cover, a covered space, a plurality of first dividers, at least one second divider, and air columns. By implementing the present invention, the separate-column inflatable mattress structure can be easily installed, operated, and stored. The separate outer cover and air columns effectively and significantly reduce shaking and can be easily removed for cleaning, repair, and replacement. Even if the outer cover or air columns are damaged, the separate-column inflatable mattress structure can still be used immediately. It is also easy to manufacture, allowing a single mold to be used to produce a variety of separate-column inflatable mattress structures of different sizes.

The invention relates to the technical field of remote sensing image processing, in particular to a vegetation coverage space-time fusion algorithm based on a proximity effect, which comprises the following steps of: acquiring coarse spatial resolution image data and fine spatial resolution image data of multiple time points, and acquiring a coarse spatial resolution image of a target time point; selecting samples based on a Monte Carlo random sampling method in a set moving window, and constructing a proximity factor calculation formula to screen an effective pixel set; and constructing a scale transformation model by using a proximity factor, converting the coarse spatial resolution image data into fine spatial resolution image data of a target time point, and generating a vegetation coverage prediction image with unified high time resolution and fine spatial resolution. According to the method, Monte Carlo random sampling and multi-dimensional proximity factor calculation are introduced, so that the calculation efficiency is remarkably improved, the applicability of the algorithm in a complex earth surface scene in an arid region is enhanced, and the method is suitable for the fields of ecological monitoring, global vegetation dynamic monitoring and the like.

The light emitting device comprises a shell 1200 covering a base 1100 to form an accommodating space in which is disposed a circuit board 1300 with a light-emitting element 1310. Light is emitted towards a through hole 1210 of the shell in a direction perpendicular to an installing direction of the shell. The light emitter is in a covering space formed by first 1410 and second 1420 covering bodies (optionally reflective) located one either side of the circuit board. The covering space has an opening corresponding to the through hole. The circuit board may comprise a cut section 1320 having a middle region and two bevelled regions. A light guiding element 1600, optionally with oblique end portions, may be provided between the shell and light-emitting element covering the through hole. A light blocking element 1700, shaped to correspond to the through hole, may be disposed on the light guiding element. Also claimed is a covering structure.

The utility model provides air treatment equipment which can comprise an equipment body, an air inlet and an air outlet. The air guide plate is rotatably arranged at the air outlet so as to open or close the air outlet; the air guide device is arranged on the air guide plate, the air guide device comprises a plurality of air guide blades which are movably arranged, and the air guide blades are used for adjusting the air outlet direction of the air outlet. According to the air treatment equipment, when air is supplied, air supplied out of the air outlet can have a wider coverage space by adjusting the opening angle of the air guide plate and adjusting the relative air guide angle of the air guide blades in two stages, so that the indoor temperature adjusting efficiency is improved, and the comfort degree of a user is improved.

The present disclosure provides a kind of digital processing method of satellite coverage space data and related equipment, comprising: obtaining the space data covered by satellite, and the space data is processed to obtain the processed space data;The boundary coordinate point set of the processed space data is obtained by analyzing the processed space data, and the abnormal data in the space data is determined based on the boundary coordinate point set;The abnormal data is completed to obtain the completed abnormal data, and the space data is improved based on the completed abnormal data.The present disclosure processes the space data covered by satellite, obtains the processed space data, then analyzes the processed space data to obtain the boundary coordinate point set, and then determines the abnormal data in the space data, and finally completes the abnormal data to make the final space data more accurate and real.

The invention provides a camera module, a multi-camera module, an assembling method and electronic equipment thereof, the camera module comprises a shell, the shell comprises a shell and a support which are integrally formed, and the support is provided with at least two support parts which are integrally formed; and a camera module semi-finished product, wherein the camera module semi-finished product is installed in the shell. Wherein at least one support part and the shell are integrally formed, a covering space located on at least part of the peripheral side of the camera module semi-finished product is formed, and the other at least one support part defines an installation space used for installing the other at least one camera module semi-finished product. According to the invention, the shell and the at least two support parts which are integrally formed are arranged, the installation space is provided for the other camera module semi-finished product while one camera module semi-finished product is covered and installed, and the positioning of the multi-camera module on the electronic equipment can be realized by positioning the position of one support part on the support on the electronic equipment; the positioning process of another camera module is saved, the assembly cost is reduced, and the assembly tolerance is reduced.

The invention provides a signal-to-noise ratio determination method and device, equipment, a medium and a program product, relates to the technical field of communication, and is used for improving the accuracy of perception performance evaluation of a communication cell. The method comprises the following steps: acquiring N pieces of signal-to-noise ratio information of a communication cell, the N pieces of signal-to-noise ratio information being signal-to-noise ratio information of a plurality of measurement points acquired at different moments, and the signal-to-noise ratio information comprising acquisition time information, signal-to-noise ratio values and position information of the measurement points; dividing the coverage space of the sensing cell into a plurality of three-dimensional grids, and mapping the signal-to-noise ratio information of each measurement point to the three-dimensional grid at the corresponding position according to the position information of each measurement point; calculating a signal-to-noise ratio value of each three-dimensional grid based on the plurality of three-dimensional grids and the signal-to-noise ratio information mapped to the three-dimensional grids; based on the signal-to-noise ratio values of all the three-dimensional grids, determining the overall signal-to-noise ratio value of the sensing cell; and determining a sensing performance parameter of the sensing cell based on the overall signal-to-noise ratio value. The method and the device are applied to predicting the sensing performance of the sensing cell.