689 results about "Physical space" patented technology

The invention relates to the technical field of intelligent agricultural robots, and provides a multi-agent collaborative anti-collision picking method based on digital twinning and deep reinforcement learning, which comprises the following steps: constructing a digital twinning model of a picking scene, and generating environmental geometric parameters, agent kinetic parameters and fruit position parameters through three-dimensional point cloud reconstruction; acquiring environment state data in real time and inputting the environment state data into the digital twin model for space-time alignment processing to generate synchronous state data; based on the synchronous data, a collaborative strategy containing a collision avoidance priority matrix, a path planning sequence and a task allocation weight is generated through a deep reinforcement learning network; an action instruction set is generated according to the strategy, and multiple agents are controlled to execute a picking task after virtual-physical space bidirectional verification of the digital twin model. According to the invention, efficient collision avoidance and accurate picking of multiple agents in a dynamic environment can be realized, and the picking efficiency, safety and system robustness are improved.

The invention relates to the technical field of robot visual perception and motion control, and discloses a motion control method and device based on physical reference, equipment and a medium, and the method comprises the steps: obtaining instruction information, a multi-view image and movable assembly pose information; processing the multi-view image according to the instruction information to generate target segmentation information; generating a scale normalization point cloud and a model estimation baseline; determining a physical reference baseline and generating a scale calibration factor; converting the scale normalization point cloud into a physical space point cloud by using a scale calibration factor; extracting a three-dimensional relative position of the target object relative to the movable component in combination with the target segmentation information; an action instruction is generated based on the multi-modal input. According to the method, physical scale alignment of the point cloud is realized through physical reference baseline calibration, so that a visual reconstruction result has real space significance, an accurate action instruction is generated, and the robot space understanding and operation precision is improved.

The invention provides an urban space intelligent processing method based on multi-modal fusion, and the method comprises the steps: taking multi-modal data as input, and constructing a unified data stream processing and feature alignment mechanism; a physical space is used as a core framework, and the multi-modal data is converted into a space behavior graph with space-time position semantics; constructing an entity attribute-relation type-influence weight ternary interaction model on the basis of an interaction layer of the spatial behavior map, and analyzing a human, object and environment ternary interaction relation in the city and the park based on the ternary interaction model; designing a space intelligent engine with time sequence modeling and dynamic prediction capabilities; and constructing a task processing system. According to the invention, through deep combination of multi-modal fusion and a space intelligent technology, full-link upgrading of urban space from data perception to intelligent decision is realized, and powerful technical support is provided for fine management, efficient operation and safety guarantee of complex space scenes.

The invention belongs to the field of energy storage monitoring, and provides an energy storage facility safety early warning protection method and system, and the method comprises the steps: obtaining the temperature, heating rate and equivalent impedance data of each monitoring unit of a battery cluster; constructing a physical adjacency matrix based on the physical space arrangement relation of the monitoring units; fusing the physical adjacency matrix and the electrical adjacency matrix according to a preset weight; constructing a graph structure based on the comprehensive adjacent matrix, and calculating a Laplacian matrix of the graph; calculating a node neighborhood residual error for the temperature and the heating rate based on a Laplacian matrix to obtain a temperature consistency residual error; calculating a node neighborhood residual error for the equivalent impedance to obtain an electrical consistency residual error; calculating a temperature prediction residual error under the time sequence prediction model with graph regularization constraint; and constructing an early abnormal score of the node, adaptively setting a quantile threshold according to the healthy operation data distribution, and carrying out graded early warning judgment on the early abnormal score. The accuracy of safety early warning of the energy storage facility can be improved.

The invention discloses a die temperature field coordinated regulation and control method based on digital twinning, and relates to the technical field of die temperature control. The method comprises the following steps: constructing a mold temperature field digital twin model covering macroscopic, mesoscopic and microscopic scales; a distributed optical fiber temperature sensor is deployed to realize continuous temperature field sensing; physical-digital real-time synchronous mapping is established through ensemble Kalman filtering; performing model prediction control based on the digital twinborn body; three-dimensional visualization and multi-modal man-machine interaction of the temperature field are realized by adopting an augmented reality technology; and reinforcement learning is used to enable the digital twinborn body to have an autonomous optimization capability. Through deep fusion of a physical space and a digital space, precise sensing, real-time mapping and intelligent control of a mold temperature field are realized, and the temperature control precision and the self-adaptive capability of the system are remarkably improved.

The invention discloses a building outer wall falling risk detection method and system based on deep learning, and the method comprises the steps: obtaining an original surface image, extracting vertical face geometric features, constructing a homography matrix based on vanishing points, carrying out the geometric correction, and reconstructing an orthographic projection image; performing enhancement processing on the orthographic projection image, extracting an effective detection area and intercepting a detection image; inputting the detection image into a deep learning segmentation model into which edge weight constraint is introduced, and performing semantic segmentation, binaryzation and optimization to obtain a falling region; a mapping relation is established according to the actual physical size of the building outer wall, and pixel information of the falling area is converted into multi-dimensional parameters such as the actual physical area, the elevation, the width and the height; and combining the defect intensity input quantification risk assessment model to calculate a comprehensive risk index, determining a risk level and outputting a result. Automatic identification and quantitative evaluation can be realized, distortion and background interference are eliminated, accurate conversion from pixels to a multi-dimensional physical space is realized, and a scientific basis is provided for safety investigation.

The invention provides a multi-source data integration and real-time decision-making system driven by an Al large model, and relates to the technical field of intelligent supervision, and the system comprises a standardization module which is used for dynamically accessing a multi-source heterogeneous data source of a supervision place through a configurable adapter matrix, and carrying out the processing and mapping of the multi-source heterogeneous data source to generate a global standardized data model; and the mapping module is used for establishing a mapping relationship between the physical space of the supervision area and the spatial coordinate attributes of the data sources based on the global standardized data model, and executing space-time alignment operation on the data sources with the spatial coordinate attributes to generate a space-time aligned data stream. According to the invention, integration, accurate analysis and dynamic optimization of multi-source heterogeneous data are realized, the timeliness and accuracy of decision making in a supervision scene and the resource utilization efficiency are improved, and the overall efficiency of physical space refined supervision is enhanced.

The invention discloses a safe evacuation path planning method under a strong wind condition of island engineering. According to the technical scheme, the method is characterized by comprising the steps that firstly, the physical space of an engineering site is discretized into a plurality of grid units, and a computable graph structure is constructed; then, acquiring multi-source dangerous area information generated in real time, and quantifying the dangerous area information into a dynamic risk value of each grid unit; then, acquiring the real-time position of the constructor as a starting point, and presetting an emergency exit as an ending point; and finally, on the constructed risk grid map, a heuristic search algorithm such as A * is adopted, and the geometric distance and the dynamic risk value between grid units are fused by a cost function of the heuristic search algorithm, so that an optimal evacuation path considering safety and efficiency is quickly searched. According to the method, the safety risk is quantified and fused into the path optimization process, so that the quick response to the dynamic environment and the real-time re-planning of the path are realized, and the efficiency and safety of personnel evacuation under the emergency condition are remarkably improved.

The invention provides an evacuation strategy generation method for a hydropower station, and the method comprises the steps: obtaining the physical space data of the hydropower station, including the landform, building structure and equipment layout data; constructing a dynamic risk model based on the physical space data, and identifying a risk source type and a diffusion path; the personnel distribution data is collected through the positioning terminal, and an evacuation demand map is generated. The safe traffic capacity of the limited evacuation channel is calculated, and an initial evacuation path set is generated in combination with the evacuation demand map; performing coupling optimization on the initial evacuation path set based on three factors of path length, risk exposure duration and crowd density change rate; the state change of a risk source is dynamically monitored through a risk sensor network, strategy updating is triggered when the risk diffusion speed exceeds a preset threshold value, and finally an optimized evacuation strategy is output to terminal execution equipment. The method can achieve the real-time updating and efficient optimization of the evacuation strategy of the hydropower station, and improves the evacuation efficiency and the personnel safety guarantee capability.

There is provided an enablement entity for a virtual experience service, the enablement entity in a wireless communication network, the enablement entity comprising a receiver, a processor and a transmitter. The receiver is arranged to receive an application service requirement corresponding to a plurality of devices, the plurality of devices operating in physical space, or in a virtual space of the virtual experience service, or both. The processor is arranged to decompose the application service requirement to a plurality of session requirements, wherein the session requirements apply to a plurality of communication sessions, the communication sessions provided between devices in both physical space and virtual space, and to derive a set of joint quality of service parameters for the plurality of sessions based on the session requirements. The transmitter is arranged to send the set of joint quality of service parameters to one or more network entities in the wireless communication network.

The invention relates to the technical field of metallurgical industry simulation and intelligent control, and discloses an intelligent metallurgical process virtual simulation method and system based on digital twinning. The method comprises the following steps: acquiring multi-modal high-dimensional data in a metallurgical process and reducing dimensions to obtain a feature vector set of a hidden layer space; performing disturbance injection simulation by using the feature vector set of the hidden layer space to obtain a multi-path state sequence with time dependence; predicting the abnormal path by using a recurrent neural network to obtain a predicted state evolution trajectory; utilizing a preset inverse mapping function to obtain multi-path state representation in the physical space; screening to obtain a risk path set; key evolution nodes are extracted from the set to be processed, and a virtual simulation scene is obtained; and performing optimization simulation on preset process adjustment parameters according to the virtual simulation scene, and determining optimized parameter configuration. The method can solve the problem that it is difficult to construct a comprehensive virtual simulation scene which truly restores the physical production rule.

The invention discloses an intelligent operation and maintenance method and system for an energy management platform, and relates to the technical field of intelligent operation and maintenance, and the method comprises the steps: analyzing data through employing an NLP technology, generating a multi-objective optimization function, constructing a user behavior portrait, adjusting the weight parameters of the multi-objective function through employing a reinforcement learning algorithm in combination with an Actor strategy network, and carrying out the operation and maintenance of a user. An energy scheduling scheme is obtained by using an improved bald eagle search algorithm and a prey escape energy mechanism, a digital twinborn model of mapping of a physical space and a virtual space is constructed, and the energy scheduling scheme is optimized and implemented by combining the digital twinborn model with a soft constraint mechanism. Through fusion of NLP technology semantic analysis and a reinforcement learning algorithm, a multi-target scheduling strategy is dynamically optimized, and an improved bald eagle search algorithm and a digital twin model are combined to realize simulation verification and closed-loop feedback, so that the intelligence and optimization level of energy system operation is improved, and the stability, economy and low-carbon operation capability of the system are also improved.

The invention relates to the technical field of city updating simulation, and discloses a city updating multi-scene simulation evaluation system based on digital twinning. The system comprises a multi-source data acquisition module, a space grid division module, a scene simulation engine and a dynamic evaluation module. The multi-source data acquisition module acquires real-time monitoring data and historical city update project data of a city physical space, and the real-time monitoring data covers environmental parameters, infrastructure operation data and people flow dynamic data, so that a digital twinborn body is constructed. The space grid division module divides the digital twin into space grid units according to the urban functional area type and the updating target and gives attribute tags to the space grid units. And the scene simulation engine generates a simulation parameter combination based on the attribute tag, and drives the digital twin to carry out multi-scene dynamic simulation. And the dynamic evaluation module outputs a state evaluation value of each space grid unit according to a simulation result, the state evaluation value comprises an infrastructure load state and a people flow distribution state, and orderly promotion of city updating work is assisted.

The invention relates to the technical field of computers, in particular to a physical space script game delivery system and method supporting rapid deployment, and the method comprises the steps: receiving a request of a user side, and generating a space coordinate graph; constructing a spatial feature set containing function / topological attribute vectors and a task demand set containing function demand vectors, difficulty coefficients and the like; calculating a matching degree and screening candidate point locations; constructing a task logic chain and an accessibility matrix, and performing recursive verification to obtain a binding scheme; a playing process and a two-dimensional code are generated and issued to a code scanning tourist end; according to the method, the operation investment can be effectively reduced, the deployment period is shortened, the coordinate graph generation of any scene is supported, the dependence on specific field hardware is eliminated through standardized vector construction and logic matching, the problem that a traditional scheme is difficult to reuse is solved, and the method can adapt to any physical space to realize the rapid deployment of the script game.

The invention provides a railway vehicle production line digital twin system and method, and the system comprises a physical space layer which is used for obtaining the state information of a railway vehicle physical production line in real time; the information layer is used for performing information conversion and analysis on the state information of the railway vehicle physical production line to obtain processed railway vehicle production line information; and the virtual space layer is used for updating the railway vehicle virtual production line model based on the processed railway vehicle production line information, so that the railway vehicle virtual production line model corresponds to the railway vehicle physical production line. Through the digital twinning technology, digital transformation of the railway vehicle manufacturing industry is promoted, the production efficiency is improved, quality control is optimized, the maintenance cost is reduced, and the production flexibility is enhanced.

The invention relates to the technical field of storage system IO performance optimization, and provides a redirection data aggregation method and equipment, and the method comprises the steps: recognizing random small IO data from a written IO request, aggregating and writing back-end storage objects, and constructing a storage mapping relation in an index table; traversing the rear-end storage object in which the random small IO data is stored, and distributing data from the same logic address space to point to the same target rear-end storage object through a hash algorithm; writing the data distributed to point to the same target back-end storage object into the continuous physical space of the target back-end storage object in sequence, and updating the mapping relation in the index table; the step S2 and the step S3 are repeated before a preset termination triggering condition is met, and a hash algorithm different from all previous times is adopted when the step S2 is repeatedly executed each time; when the data are read, the storage mapping relation is obtained from the index table, and the read requests corresponding to the data located in the same back-end storage object are aggregated and then read at a time.

The invention relates to a Zynq chip FSBL program fault-tolerant starting method based on check and self-check, which comprises the following steps of: partitioning a Flash physical space into at least two independent starting mirror image regions, at least two application program regions and an independent state management region; the two independent starting mirror image areas are backups for each other, and the two application program areas are backups for each other; compiling, synthesizing and burning the mirror image file; when the FSBL program is started and runs, the FSBL program firstly judges the validity of a mirror image, and if the mirror image is invalid, a fault-tolerant switching mechanism is triggered; and if the mirror image is valid, executing a self-checking process, if the self-checking is passed, continuing to normally start the process, and if the self-checking fails, immediately triggering a fault-tolerant switching mechanism, and restarting from a standby start mirror image area. According to the method, the problem that the Zynq series chip cannot be started due to the fact that the FSBL program in the starting mirror image stored in the Flash is partially damaged is solved, and the purpose of improving the system reliability is achieved.

Systems and methods for location-based device control are provided. Example systems and methods include determining a location estimate for a computing device and identifying a controllable device based on the location estimate. Some examples also include determining a relative location of the controllable device with respect to the computing device and triggering display, on the computing device, of a user interface for interacting with the controllable device based on the relative location. Another example system and method includes identifying a controllable device within a physical space based on an aiming direction in which a computing device is aimed, determining an angular offset of the controllable device with respect to the aiming direction of the computing device, and triggering display, on the computing device, of a user interface that indicates the determined angular offset.

The invention relates to the technical field of wetland ecological engineering, and discloses a constructed wetland comprehensive development system and method, computer equipment, a medium and a product, and the system comprises a multi-business collaborative coupling physical space configuration layer which is used for carrying out function division and space facility layout design in a target wetland region based on a multi-business collaborative coupling principle, a multi-business infrastructure is constructed based on function partition and spatial layout design; and the dynamic regulation and control center is in communication connection with the multi-business-state collaborative coupling physical space configuration layer, and the dynamic regulation and control center is used for collecting multi-source data of the multi-business-state collaborative coupling physical space configuration layer, monitoring the multi-business-state collaborative coupling physical space configuration layer in real time based on the multi-source data, dynamically coordinating operation of each business state and optimizing resource configuration. According to the invention, multi-business deep fusion is realized, intelligent dynamic regulation and control capability is realized, long-term stable operation of the system is guaranteed, and comprehensive economic, ecological and social benefits are improved.

A system for monitoring a subject in a physical space, the system including: a plurality of sensors for detecting movements of the subject in the physical space; a data processing system configured to: receive from the sensors signals representing detected movements of the subject in the physical space, process the received signals to determine corresponding movements of the subject in the physical space, and select an action from a plurality of predefined actions, based on the detected movement; and one or more output devices for outputting a prompt based on the selected predefined action for the subject.

The embodiment of the invention provides a data management method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving a data access request for target data; the data access request carries a to-be-accessed logic address corresponding to target data; determining a target logic address section to which the to-be-accessed logic address belongs; determining a target physical space block corresponding to the target logic address section in a preset mapping relation; executing an access operation of the target data in the target physical space block according to the to-be-accessed logic address; the preset mapping relationship comprises a one-to-one correspondence relationship between each logical address section and each physical space block of the memory module. Visibly, in the technical scheme, the data volume in the preset mapping relationship can be greatly reduced, so that the storage space occupied by storing the mapping relationship is reduced, the memory space overhead is saved, the query speed can be improved, and the data access delay caused by searching the mapping relationship is reduced.

Methods, systems, and apparatus, including medium-encoded computer program products, for tracking performance of medical procedures. The process includes identifying a sterile zone within video feeds of a medical procedure room, where the sterile zone includes a region of pixels that define a three-dimensional physical space. Identifying humans in the room and classifying each identified human as being permitted or not permitted to enter the sterile zone. Generating a skeletal poise model and using the skeletal poise model in correlation with the sensor data to track movement of the human's limbs with respect to the sterile zone. Determining that at least a portion of a skeletal poise model of at least one human classified as not being permitted to enter the sterile zone crossed a boundary of the sterile zone, and in response, causing an alert to be presented on at least one display device located within the medical procedure room.

A data access method, apparatus and device, in the application, a physical space of a storage device is mapped into a logic space, the logic space comprises a plurality of logic blocks, and the physical space comprises a plurality of physical blocks. The storage device obtains a data reading instruction, wherein the data reading instruction is used for requesting to read the first data; the storage device determines a target index entry according to the logical address of the first data, the target index entry indicates a mapping relationship between a first logical block and a first physical block, and the first logical block is a logical block to which the logical address belongs. The storage device determines the physical address of the compressed first data according to the first physical block and a first target data volume, wherein the first target data volume is the data volume of the compressed first data; the storage device obtains the compressed first data according to the physical address; and decompressing the compressed first data, and obtaining and feeding back the first data. The construction granularity of the index entry is a physical block and a logic block, and the data volume of the compressed data does not need to be recorded, so that the complexity of data indexing is effectively reduced.

The invention provides a small reservoir water level intelligent identification method and system based on a general picture, and the method comprises the following steps: firstly constructing a three-dimensional twin grid model of a reservoir dam, extracting the three-dimensional coordinates of structural feature points, and storing the three-dimensional coordinates in a database; the method comprises the following steps: acquiring a monitoring image to preliminarily identify an initial water level line, and matching two-dimensional pixel coordinates of corresponding feature points in the image; and solving a real-time pose matrix of the camera based on the matching pair of the three-dimensional and two-dimensional coordinates. And projecting the three-dimensional model to the image by using the pose matrix to generate a virtual measurement grid with three-dimensional information. Pixels on an initial water level line are back-projected to a physical space through a grid to form a three-dimensional point cloud, and an optimal water body plane is fitted through iterative optimization. And finally, calculating the real physical height difference between the water body plane and the dam crest, and subtracting the height difference from the known absolute elevation of the dam crest to obtain the final real-time absolute water level elevation. The method has the effect of improving the accuracy of water level recognition based on image processing.

The invention relates to the technical field of canteen management, and discloses an intelligent canteen management method based on digital twinning, which comprises the following steps: step 1, constructing a canteen holographic digital twinning model which comprises a three-dimensional space model corresponding to a physical space of an entity canteen and a digital asset model corresponding to assets in the canteen, a standardized data interface is preset in the digital asset model; and step 2, based on the canteen holographic digital twin model, deploying a multi-source data acquisition module to obtain operation data of the canteen in real time, the operation data including personnel flow data, dish sales data and equipment working condition data. According to the invention, a technical scheme of constructing a dynamic behavior deduction engine, fusing real-time operation data and external variables to carry out rolling deduction, and utilizing an actual operation result to carry out closed-loop correction on the prediction model is adopted, so that a technical effect of dynamically and accurately predicting the dining flow and the dish consumption demand is achieved.

This invention discloses a stepwise data assimilation method for a set subspace in a nonlinear inverse problem, relating to the field of data processing technology. The invention constructs an initial prior physical set based on the physical state variables to be inverted and optimized, and historical observation data. It extracts the static subspace basis anomaly matrix, initializes the latent variable set and particle weights, calculates fractional-step incremental reweighting, evaluates the current likelihood mismatch penalty using predicted data, updates and normalizes the particle weights in the logarithmic domain, obtains the effective sample number, performs system resampling operations in conjunction with a preset resampling tolerance coefficient, eliminates low-weight particles and replicates high-weight particles, synchronously updates the latent variable set and predicted data, executes a dynamic MCMC mutation loop to generate proposed latent state vectors and affinely maps them to a high-dimensional physical space, and updates the latent variable set by evaluating the annealing target energy within the latent variable subspace until all fractional steps are traversed. Finally, it outputs the latent variable set and maps it back to the physical space.

The invention discloses an image enhancement processing method and system for an unmanned aerial vehicle monitoring video stream, and relates to the technical field of data processing, and the method comprises the steps: responding to a triggering instruction that an unmanned aerial vehicle enters a hovering verification state, extracting a current exposure line index, and resolving a target light beam projection angle corresponding to the current exposure line index, generating a scanning driving signal based on the linkage mapping relation of the two, performing line-by-line scanning exposure, and limiting the space coverage range of the physical projection light beam in a physical space slice corresponding to a pixel line which is currently in an exposure opening state, so that environmental near-field suspended particles outside the physical space slice are kept in a non-illumination state; and collecting the optical signal reflected by the physical space slice, and generating an enhanced video frame for suppressing near-field scattering interference. According to the application, the airborne linear light source and the exposure line are synchronously scanned, and the light beam coverage range is strictly limited in the physical space slice corresponding to the current exposure line, so that the near-field dust does not generate scattered light because the near-field dust is not illuminated.

The present application relates to a method for controlling a lighting effect of a spliced lamp, as well as a device, an apparatus, and a medium. The method comprises: displaying a spatial topological graph of the spliced lamp in an effect editing region of a graphical user interface; displaying a visual marker of a motion base point of the spliced lamp in the effect editing region in an initialized manner; updating the motion base point according to the latest position of the visual marker relative to the spatial topological graph; driving the spliced lamp to play a lighting effect by using a lighting effect playing instruction that is generated on the basis of the motion base point, such that a mapping position of the motion base point in the physical space serves as a benchmark reference point of a motion process of the lighting effect.

If an overlap of two or more extended reality (XR) safe play areas, associated with active XR devices (e.g., VR devices) operating in a physical space is detected, then a combined safe area is determined based on the first and second safe areas. A configured first XR safe area is generated. A virtual partition may demarcate the separation between the safe areas. The virtual partition may include a buffer zone that separates the reconfigured first safe area from the reconfigured second safe area. An errant XR device may be guided back to its safe area.

The invention discloses an unmanned operation and maintenance method, device and system for a photovoltaic power station, particularly relates to the technical field of automatic control, and is used for solving the problem of cooperative failure caused by conflict between centralized optimization and a local autonomous decision-making target of equipment in an unmanned operation and maintenance system for the photovoltaic power station in the prior art. A resource request instruction sequence is acquired in real time, a global resource map is synchronously constructed, and the resource request instruction sequence is matched with the global resource map to judge whether a resource allocation circular waiting chain exists or not; if yes, quantitatively evaluating the execution path intersection density of each heterogeneous operation and maintenance task in the resource allocation cyclic waiting chain in a physical space and a logic sequence, and analyzing an interference effect based on the execution path intersection density in combination with behavior randomness characteristics represented by each heterogeneous operation and maintenance device in path selection so as to trace the source of a conflict root cause; key conflicting tasks are determined based on the conflict root cause, and their execution device assignments are dynamically reconstructed to disengage the resource allocation cyclic waiting chain.