1267 results about "Physical space" patented technology

The present invention provides a digital twin simulation method and system for an industrial simulation platform, the method comprising: collecting the operation data of the industrial training production line through a sensor array to obtain a real-time mapping data stream; constructing a digital twin model according to the real-time mapping data stream, using a semantic ontology library and a graph neural network to perform correlation analysis on the multimodal data of the physical space and the digital twin model, and obtaining a twin knowledge graph of the physical-digital dual space; according to the twin knowledge graph and a preset expert knowledge base, using a reinforcement learning method to perform collaborative learning on the operation conditions of the physical-digital dual space to obtain an elastic fault-tolerant boundary; according to the twin knowledge graph and the elastic fault-tolerant boundary, the deviation between the real-time action of the operator in the physical space and the standard action in the digital space is graded and judged, and corresponding feedback and warning information are output. The present invention overcomes the limitations of the existing fixed standard action model and provides personalized guidance for operators with different proficiency levels.

The invention discloses a complex three-dimensional scene twinborn modeling method guided by a geographic knowledge map, belongs to the technical field of digital twinborn, and solves the problems that the existing twinborn scene modeling method mostly focuses on single space dimension fusion and does not consider the multi-dimension fusion requirement, such as the synergistic effect of objects, attributes and the whole scene is not considered, and the modeling effect is poor. The model precision is reduced, and the adaptability is insufficient. The method comprises the following steps: constructing a scene-feature-transition complex three-dimensional scene geographic knowledge graph based on obtained dynamic and static data of each geographic scene in a complex three-dimensional twinborn scene physical space, and updating in real time; and carrying out dynamic fusion modeling on the complex three-dimensional scene through progressive guidance layer by layer from an object level, an attribute level to a scene level by adopting a geographic knowledge graph of the complex three-dimensional scene. The method is used for complex three-dimensional scene twin modeling.

The invention provides a scene adaptive adjustment method and system based on intelligent Internet of Things and meta-universe virtual-real fusion, and relates to the technical field of artificial intelligence and Internet of Things, and the method comprises the steps: collecting a scene image and environment parameter data, carrying out the decomposition and partitioning of the image, and recognizing the type of the scene, environment parameter tensors are constructed to form a digital twinborn model, the digital twinborn model is mapped to a virtual space, a proper feature vector is selected according to an identification result to generate a target feature vector, a projection position of a virtual object in an entity space is obtained, and the feature vector is optimized and then combined with the projection position to generate an enhanced feature and a mapping matrix; and generating rendering parameters through the parameter mapping network, rendering the virtual object, and displaying the virtual object on the entity space interface in an overlapping manner.

The invention discloses a multi-welding-robot collaborative operation system based on digital twinning, and belongs to the technical field of intelligent manufacturing and robot control, the system comprises a physical space module, a virtual space module, a twinning data layer and a control module, and communication connection is established among the physical space module, the virtual space module, the twinning data layer and the control module; the physical space module comprises a plurality of welding robots, a sensor group and a data transmission network; the virtual space module comprises a multi-welding robot twinning body and a workpiece twinning model; the twin data layer is used for connecting the physical space module and the virtual space module; and the control module generates a welding path optimization scheme, a multi-welding-robot collaborative collision avoidance strategy and a welding quality feedback control instruction based on the twin data layer. According to the method, a closed-loop control framework of'physical-virtual 'bidirectional mapping is constructed, so that dynamic collaborative optimization of multi-robot motion trails, welding seam forming and thermal deformation is realized.

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 energy efficiency management, in particular to an information access security control method and system. The method comprises the following steps: performing secure physical space authorization on a target access environment, and deploying a secure environment acquisition network; performing access environment benchmark monitoring by using a secure environment acquisition network to obtain environment benchmark feature data; a user carries out real-time access environment monitoring through user terminal equipment to generate real-time access environment monitoring data; performing multi-dimensional access risk assessment on the real-time access environment monitoring data through the environment reference feature data, and performing dynamic information security access execution to obtain access control execution data; and monitoring an operation behavior of the user in real time based on the access control execution data so as to realize information access security control. According to the invention, information access in an unauthorized physical environment can be effectively prevented, and the capability of resisting position cheating, illegal invasion and potential internal threats is remarkably improved.

The invention discloses a property operation decision support system based on digital twinning and generative AI, which relates to the technical field of property operation management and comprises a sensing layer, a data layer, a digital twinning layer, a generative AI layer and a decision execution layer which are connected in sequence. In the invention, the generative AI layer is based on a special Transform architecture model, fuses historical operation data and digital twinning real-time data, can automatically generate an executable optimization strategy in multiple scenes such as facility maintenance, resource allocation, personalized service, emergency disposal and the like, verifies feasibility and effects in a virtual environment, and improves the implementation efficiency. The decision execution layer efficiently implements a strategy subjected to simulation verification into a physical space by using an intelligent scheduling and equipment linkage mechanism, performs quantitative evaluation and strategy iterative optimization based on an execution effect, deeply fuses a high-fidelity digital twin with a generative AI, constructs an AI decision closed-loop system based on simulation verification, and performs decision making on the AI decision closed-loop system. And a high-feasibility and feasible optimization scheme can be generated for a complex and dynamic property operation environment.

The embodiment of the invention provides a hot plug method and equipment for storage equipment, and relates to the technical field of storage. The method comprises the steps that an insertion event is received, the insertion event is an event that a target device is hot-inserted into a computing device, the insertion event comprises first information, the first information comprises a unique identification number and capacity of the target device, and the target device is a computing fast connection CXL device or a memory connected to the CXL device; physical storage space management is carried out on the target equipment according to the capacity, management data of the target equipment is obtained, and the management data comprises offset and a physical space address; and sending the management data to the CXL equipment, so that the CXL equipment can perform read-write operation according to the management data. In this way, the CXL-based storage device can be subjected to hot insertion and hot unloading operation without powering off the computing device, and the maintenance, commissioning and testing cost is reduced.

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 electronic evidence correlation analysis method which comprises the following steps: analyzing and standardizing heterogeneous data of electronic evidences, extracting timestamp information according to data source characteristics, and uniformly converting data of each time precision into millisecond-level timestamps; extracting space information, including a physical space and a virtual space, according to the timestamp, and performing format unification and coordinate system conversion on the extracted information to obtain a comprehensive data set containing a standardized time sequence and multi-scale space information; constructing a space-time association graph model based on the electronic evidence group, setting the weight of an edge in combination with the space-time association distance between nodes, mapping the high-dimensional space-time association feature to a low-dimensional vector space, and obtaining the space-time association feature vector of the electronic evidence; and performing similarity calculation on the space-time association feature vectors, calculating the space-time association degree between different electronic evidences, and screening out associated electronic evidences as electronic evidence pairs according to a similarity threshold to form an association relationship network.

The invention discloses an electric energy quality prediction and management platform based on a digital twin technology, which relates to the technical field of power system monitoring and comprises a physical space layer, a data space layer, a model space layer and an application space layer. The physical space layer is provided with an electric energy quality monitoring device and an electrical equipment state monitoring device, output multi-time-scale data are transmitted to the data space layer to be synchronously collected and preprocessed, the preprocessed data are input into the model space layer, a physical entity mapping relation is constructed through a digital twin basic model, and the physical entity mapping relation is obtained. The attribute expansion model constructs dynamic feature mapping, the multi-scale analysis model realizes dynamic analysis, and an analysis result is input into the application space layer to execute prediction, early warning and treatment. According to the method, a hierarchical digital twinborn system of'basic mapping-feature extension-dynamic analysis' is established, collaborative analysis of transient disturbance, short-term fluctuation and steady-state features is realized, and effective support is provided for optimal configuration of an electric energy quality management device.

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 discloses an optical perspective calibration method and system, electronic equipment and a storage medium, and relates to the field of augmented reality. In the method, the position and posture of a virtual calibration object on a display screen are adjusted according to received first user voice, so that the virtual calibration object coincides with an actual calibration object in a physical space; obtaining an image of an actual calibration object according to the received second user voice, obtaining a first two-dimensional pixel coordinate of the first target corner point from the image, and determining a three-dimensional coordinate of the first target corner point according to the first two-dimensional pixel coordinate; acquiring a second two-dimensional pixel coordinate of a second target angular point of the virtual calibration object on the display screen, and calculating a projection matrix according to the three-dimensional coordinate and the second two-dimensional pixel coordinate; the projection matrix is used to transform the points in the virtual space onto the screen of the augmented reality headset. By implementing the technical scheme provided by the invention, personalized optical perspective calibration is realized in a low-cost manner.

The invention belongs to the technical field of vibration control, and provides a CFD numerical simulation-based TMDI control bridge rigid main beam low-frequency vertical vortex vibration research method, which comprises the following steps of: establishing a rigid main beam-TMDI vertical coupling vibration equation in a wind field, carrying out order reduction processing on the coupling vibration equation by constructing a state equation, embedding a solving process into Fluent software by utilizing a user-defined function, and carrying out low-frequency vertical vortex vibration research on a rigid main beam-TMDI control bridge rigid main beam. And the vertical vortex-induced vibration response of the controlled main beam is obtained by alternately solving the flow field domain and the structural domain. Compared with a theoretical method, the fluid-solid coupling effect can be directly simulated, a vortex-induced force model does not need to be assumed, and the result is more reliable; compared with a wind tunnel test method, various parameters of the structure and the TMDI can be accurately set, physical space constraint is avoided, machining errors do not exist, the method is not limited to low wind speed, and the vibration suppression effect can be verified more conveniently; compared with an on-site actual measurement method, the method does not need to passively wait for vertical vortex vibration of a real bridge for a long time, can obtain richer information, facilitates the development of vibration suppression mechanism analysis, and greatly reduces the research difficulty and cost.

A sensor head transitions between a retracted and extended state. While retracted, sensors are covered. While extended, the sensors are exposed and may be used to acquire sensor data about the physical space. A force applied by a user, or a received command, may initiate transition. For example, a user may press on the sensor head to initiate retraction or extension. A motor provides a force to move the sensor head and generate haptic feedback, while a position encoder determines a displacement of the sensor head due to an external force being applied. Different applications of force by the user to the sensor head may result in different operations by the device. For example, a short push may retract the sensor head and disable the sensors for a specified time interval. In comparison a long push may retract the sensor head and disable the sensors until a specified clock time.

The invention relates to a structural dynamic response calculation method and system based on an adaptive physical base network. The method comprises the following steps: determining first n-order modals with the maximum contribution to the dynamic response of the structure; based on a vibration mode decomposition method, m differential equations representing mutual coupling of the dynamic response of the structure are decoupled into independent equations corresponding to first n-order modes; representing load characteristics under different load conditions by scalar parameters under modal coordinates of all orders according to independent equations corresponding to modals of the first n orders; inputting time into the corresponding n-order modal adaptive physical base network, and predicting response components of the structure in the first n-order modals under unit load in a modal space; multiplying the modal response component by a scalar parameter representing a load characteristic to obtain a modal response component under an actual load condition; and converting the modal response component in the modal space into dynamic response in the physical space. The problems that the dynamic response of a PINN-based network framework multi-degree-of-freedom structure is difficult to solve and the load working condition is difficult to generalize are solved.

The invention discloses a security check door security check process optimization scheduling system and method based on big data, and belongs to the technical field of intelligent security check, a whole security check area is divided into a plurality of functional areas and mapped into network nodes according to security check process links and physical space distribution, directed edges among the nodes represent passenger flow paths, and the flow paths of passengers are distributed in the network nodes. A weight matrix of edges is calculated through historical flow data, and a security check area network topology model is constructed; fusing ticket business, historical security check and real-time sensor data, constructing a load evaluation model, and calculating a node load index and an influence conduction coefficient; based on passenger ticket business time and historical behavior records, establishing a time urgency index and risk level model, and forming a two-dimensional decision matrix to dynamically divide priorities; constructing and training a congestion propagation model, predicting a future congestion path in combination with priority distribution, and identifying bottleneck nodes; and according to a prediction result, cooperatively implementing a grooming strategy from four dimensions of personnel, channels, equipment and processes.

The invention provides a home overall design method and system based on virtual reality. Wherein indoor environment data are collected in real time in a spatial gridding mode through a distributed temperature and humidity sensor array and a multispectral illumination sensor, and heterogeneous data are fused by using a spatial topology association engine to generate a three-dimensional environment parameter set. And based on the space coordinate weight matrix of the parameter set, driving a micro-electro-mechanical execution unit of the dynamic optical reflection film layer to adjust the surface inclination angle and the refractive index so as to form an optical reflection characteristic distribution diagram. And a three-dimensional light field model dynamically linked with physical illumination distribution is further constructed in the virtual scene, adaptive compensation operation of temperature and humidity parameters is triggered in real time according to physical space illumination intensity changes, characteristic parameters of the reflecting film layer are synchronously and reversely regulated and controlled, and a closed-loop control link is formed. According to the technical scheme provided by the invention, the full-dimensional precise synchronization of the optical characteristics of the material, the temperature and humidity influence and the illumination distribution in the home design scene is realized.

The present invention discloses a distributed heuristic unmanned cluster brain-like swarm intelligence fusion search and capture method, comprising: step 1: completing single target detection on the basis of a Yolov5 network, and predicting the position of a next frame of target on the basis of a DeepSort algorithm; step 2, on the basis of the distance difference and the area difference, determining, by mapping, navigation end point coordinates formula (1) of an intelligent agent in a physical space; step 3, constructing a diffusion-contraction coordinated chaotic mapping algorithm, and mapping the update of the navigation end point coordinates into a uniformly distributed chaotic space; step 4: on the basis of target detection confidence decision information and regional position information of all intelligent agents, fusing and generating global search information formula (3) of a search space formula (2); step 5: on the basis of the intelligent agent global search information, fusing various sensing data in a multi-agent system, so as to estimate target position information; and step 6: performing measurement on the basis of a real-time position of the intelligent agent and an obstacle position. The present invention has high capture efficiency and can accurately update a capture end point of the intelligent agent to complete a task of encircling a moving target.

Various embodiments relate to a method, apparatus, and machine-readable storage medium including one or more of the following: receiving, from a user, a command to tag an object currently in view of a camera and located within a physical space; in response to the command, determining a distance from a location of the camera to a location of the object; determining the location of the object based on the determined distance; storing the location of the object and a label together as a tag in a digital twin representing the physical space; displaying a representation of the physical space; and displaying an indicator of the tag at a location in the representation of the physical space corresponding to the location of the object.

The invention discloses a self-adaptive sound effect management method and system with a scene analysis module, and relates to the field of self-adaptive sound effect management, and the method comprises the following steps: S1, collecting environmental acoustic characteristics and user behavior data in real time through the scene analysis module; s2, dynamically extracting user hearing preference parameters and scene classification labels; s3, constructing a virtual audition sweet zone matched with the physical space; and S4, dynamically adjusting the phase delay and the energy distribution proportion of each frequency band, and generating an optimal loudness equalization curve meeting the multi-scene constraint. According to the method, adaptive matching of sound field characteristics is realized in a complex dynamic scene through a multi-level perception-optimization closed-loop architecture, acoustic feature extraction and physical space modeling are deeply fused, the technical boundary of traditional pure signal processing is broken through, and the problem of multi-target conflict is solved based on cross-modal collaborative learning and a global optimization algorithm.

The invention relates to the technical field of 3D printing, and discloses a printing method, device and equipment for a polypropylene workpiece and a storage medium. The method comprises the steps of obtaining initial printing parameters, performing noise reduction and feature extraction to obtain a preprocessed data set, establishing a mapping relation between a physical space and a virtual space through spatial feature vector extraction, and generating an association database of printing environment parameters and material features; performing parameter mapping by adopting a multi-layer neural network, and performing optimization in combination with the crystallization dynamic characteristics of the material to obtain a parameter control strategy; carrying out interlayer distance and path planning on the parameter control strategy to generate a layered printing track; based on the heterogeneous crystallization characteristic of the material, flow and crystallization coupling analysis is conducted on the layered printing track, and a filling printing scheme is obtained through area density calculation; and the filling printing scheme is converted into an equipment instruction, printing is executed, and a target workpiece is finally obtained through real-time monitoring and correction. The printing quality and precision of the polypropylene workpiece are improved.

The invention belongs to the technical field of computer graphics and virtual reality, and discloses a virtual-real fusion-based panoramic roaming construction method for a digital exhibition hall, which effectively solves the problems of easy drift and offset in a virtual environment in a traditional system through a multi-sensor fusion algorithm and a closed-loop optimization mechanism. Under the complex environment of people flow change, illumination fluctuation and the like in an exhibition hall, accurate alignment of virtual content and physical space can still be kept, it is ensured that a user obtains coherent and stable visual experience in the roaming process, and a reliable space reference is provided for virtual-real interaction; the light and shadow effect and the material performance of the virtual content are naturally fused with the physical environment through the physical rendering and multi-sensory interaction technology, and meanwhile, a multi-dimensional immersion sense is constructed in combination with the spatial sound effect and interaction feedback; when the user interacts with the virtual exhibit, sensory experience close to reality can be obtained, and the sense of substitution and attraction of the digital exhibition hall are remarkably improved.

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 provides a part free edge visual matching method and system based on model matching, and the method comprises the steps: analyzing an assembly three-dimensional model or a cutting two-dimensional model of a ship part, and building a part model database; determining a visual matching template database according to the two-dimensional contour of the part and the part features; collecting an image of a to-be-detected part; determining part features of the to-be-detected part; matching the part features of the to-be-tested part with the visual matching template database, and determining a matching result; if the matching result is successful matching, determining pixel coordinates of the to-be-detected part in the image of the to-be-detected part according to a visual matching template corresponding to the image of the to-be-detected part; and converting the pixel coordinates of the to-be-detected part in the image of the to-be-detected part into actual coordinates of a physical space, and determining the free edge of the to-be-detected part on the machine tool of the ship. According to the method and the device, the free edges of various parts of the ship are positioned, and the efficiency and the quality of ship manufacturing are improved.

An example MR headset is provided. The example MR headset comprises (i) a set of imaging sensors and (ii) a set of floodlight-emitting diodes (flood LEDs), the sets of imaging sensors and flood LEDs disposed along a front-facing portion of the MR headset. The MR headset includes one or more processors configured to, while the MR headset is being caused to present MR content, and in accordance with a determination that imaging data obtained from the set of imaging sensors has an insufficient level of detail to identify hand gestures, cause illumination, using one or more flood LEDs of the set of flood LEDs, of a volume of physical space that includes the hand of the user.

A method of monitoring behavior of an AVC system that may include communicatively connecting one or more devices to a server of a cloud platform, creating one or more device digital twins, synchronizing the device digital twins to the devices, creating one or more space digital twins of the physical spaces that the devices are located in, synchronizing the space digital twins to a corresponding physical space, analyzing data associated with the one or more devices to create an output indicative of at least one of the health and reliability of the one or more devices, usage and operational status of the physical space or presenting the output on a computing device.

The invention discloses a three-dimensional space modeling method, system and device and a storage medium, and relates to the technical field of digital twinning, and the method comprises the steps: processing the physical space data of a digital twinning display application according to a target hierarchy, and obtaining the hierarchy model data of each target hierarchy; the target hierarchy comprises a city hierarchy, a park hierarchy, a building hierarchy, a floor hierarchy and a room hierarchy; constructing a digital twinborn model for each target hierarchy based on the data structure of the corresponding hierarchy model data; the data structure comprises three-dimensional geometric structure data, shell model data and semantic description metadata; and converting the digital twinborn model from the model coordinate system to a geographic coordinate system, and performing hierarchical storage according to corresponding hierarchies. And each hierarchy can obtain accurate hierarchy model data. The accurate digital twinborn model is constructed based on the data structure of the hierarchical model data of each target hierarchy, so that the characteristics of a physical space are reflected more truly, and the accuracy and practicability of the model are enhanced.

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.