19 results about "Coverage space" patented technology

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.

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 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.

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 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 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 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.

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 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.

The invention belongs to the technical field of radar target tracking, and relates to a space target multi-radar handover tracking method based on forecast error covariance transmission, which comprises the following steps: a first radar performs filtering tracking on a space target to obtain a first position, a first speed and first covariance information at a final observation moment; converting to a geocentric inertial coordinate system; constructing a forecast initial state and forecast error initial covariance information, and performing forecast extrapolation to obtain a forecast state and forecast error covariance information at a future moment; determining the time when the target enters the second radar coverage airspace; a second radar plans an interception position and an interception area and tracks the target to obtain a candidate state and candidate covariance information; and constructing test statistics, and determining a cross-radar correlation result in combination with multi-moment correlation quality evaluation to complete space target handover tracking. According to the technical scheme, the track coherence, the error consistency and the correlation reliability in space target handover can be improved.

The present invention discloses a people flow analysis system using Internet of Things (IoT) information collection. The system includes a data collection module, a data storage module, a people flow statistics module, an obstruction analysis module, a combined analysis module, and a predictive analysis module. The data collection module collects all human flow data in the laboratory's machine room through an image collection device and stores the people flow data in the data storage module. The people flow statistics module analyzes crowd densities in different covered spaces and determines the average distance through hierarchical division and cluster analysis of the human head label points, and further determines the human head dimensions using a Gaussian function. When the crowd density is low and not average, the k-nearest neighbor method is used to solve the uncertainty problem. The obstruction analysis module combines the features of obstructions in the covered space with the features of adjacent crowds to obtain a new data set. The predictive analysis module performs overall people flow prediction analysis based on the combined new data set and the people flow data of crowds not adjacent to the obstructions, thereby greatly improving the accuracy of people flow analysis and the efficiency of control.

The invention discloses a point cloud data optimization method based on multi-scale sphere combination optimization. The method comprises the following steps: removing outliers according to local neighborhood distribution of point cloud to obtain a clean point set; and adaptively determining a grid scale and dividing a space based on the point cloud density, and establishing a grid structure. A large sphere covers a flat area, a middle sphere is in structural transition, and a small sphere expresses local details. According to the method, a multi-objective optimization model is constructed, the minimum number of spheres, the minimum non-coverage rate and the minimum total volume serve as objectives, an optimal sphere combination is obtained through NSGA-II solving, and global balance among the coverage rate, the structural integrity and the redundancy is achieved. The method can maintain high geometric fidelity while reducing the redundancy of the point cloud data, and is suitable for complex scene point cloud data processing in three-dimensional sensing systems such as automatic driving, robot navigation and the like.

The present application relates to a kind of fault fissure seismic source characterization system and method based on waveform feature, including several sensors and at least one processor, the processor is configured as: receiving the amplitude data of wave collected by several sensors;Construct three-dimensional ellipsoid basic equation capable of covering space radiation;Determine the position of seismic source, energy and / or fissure orientation based on the spatial geometric parameters of three-dimensional ellipsoid.The present application fits to obtain uniquely determined ellipsoid, and the physical information of seismic source is described by the spatial geometric parameters of ellipsoid.For example, the position of seismic source, energy, spatial damage range and the like.The calculation process of ellipsoid fitting is simple, and easy to understand.

The invention relates to the technical field of fire risk monitoring, and discloses an AIoT fire risk dynamic assessment method and system based on multi-source data, and the system comprises a fire recognition module, a fire coverage simulation module, and a fire risk assessment module. And according to the comburent space entity model, the maximum value of the combustion flame length of the target comburent and mechanical three-dimensional design software, intelligent modeling of a three-dimensional entity model of the maximum coverage space of combustion of the comburent in the fire scene is carried out, and accurate prediction of the maximum coverage space of the fire is realized. The dangerous state of the fire scene is scientifically evaluated based on the minimum value of the distance between the target fire space and the environmental inflammables and the fire safety distance threshold value in combination with numerical analysis, the fire risk is dynamically predicted based on spatial characteristics, and the credibility and accuracy of fire risk evaluation are improved.

To prevent a three dimensional mask from being collapsed by breathing by improving the surface area of a front shielding sheet in contact with air, reducing breathing resistance and improving the degree of support of a covering space in the limited length of the three dimensional mask.SOLUTION: The three dimensional mask 1 includes a front shielding sheet 2, an upper shielding sheet 3 and a lower shielding sheet 4, the upper shielding sheet and the lower shielding sheet are foldably connected to upper and lower edges of the front shielding sheet, when the upper shielding sheet and the lower shielding sheet are unfolded, the upper shielding sheet, the lower shielding sheet and the front shielding sheet can jointly form a covering space for accommodating the mouth and the nose, and the front shielding sheet has at least one longitudinal fold line 27, so that the front shielding sheet can be folded from a long material to a length matching the upper shielding sheet and the lower shielding sheet. Therefore, in a limited length of the three dimensional mask, the surface area of the front shielding sheet in contact with the air is increased, and the breathing resistance is reduced. The longitudinal folds improve the support of the covering space, and prevent the three dimensional mask from collapsing due to breathing.SELECTED DRAWING: Figure 3

This invention discloses a street view update and recognition method that integrates temporal street view data and remote sensing data, comprising: S1: Multi-source data calibration and preprocessing to unify and align the spatial coordinates of street view, remote sensing, and assisted POI and construction project data in terms of time series; S2: Multimodal feature encoding, extracting multi-dimensional features through convolutional networks and differential modeling to construct a comprehensive feature vector covering spatial morphology, functional distribution, construction activities, and street environment; S3: Cross-modal fusion network construction to achieve deep fusion and adaptive weight allocation of multimodal features; S4: Model training and optimization, designing methods such as spatiotemporal topological consistency loss functions to optimize model parameters; S5: Result output and application, inputting the fused features into a classifier to output the update type of each sampling point. This method overcomes the limitations of traditional parcel-scale analysis and achieves efficient fusion and accurate update recognition of street-level multi-source data.

The utility model provides a flexible greenhouse unit and a flexible greenhouse. The flexible greenhouse unit and the flexible greenhouse are used for solving the technical problem that response of a greenhouse to sudden weather change is delayed. According to the flexible greenhouse unit, the covering space of the protective film is changed through the film rolling assembly, the covering range of the protective film can be evenly controlled, and synchronous control over the opening and closing proportion is achieved. Through remote control or a preset program, the protective film is automatically closed in severe weather, the response time is shortened to the second level, and disaster loss is reduced.