1179 results about "Anchor point" patented technology

The invention discloses a welded pipe conveying abnormity prediction method and system based on large model reasoning, and aims to solve the problems that multi-source data is difficult to align, cross-station false correlation is caused, prediction lacks executable positioning and time sequence, and linkage control reliability is insufficient. Event alignment is carried out by taking a controller edge signal and an encoder zero position as time anchor points, a production line topology semantic graph containing time delay, capacity and interlocking attributes is constructed, and topology reachability and physical time delay constraints are applied in a self-attention long sequence model to carry out multi-step rolling prediction. And outputting a risk probability, refining the risk probability to spatial positioning of a roller way section or a shaft and the minimum executable intervention time, and generating a risk interval in combination with uncertainty estimation and calibration so as to drive an upstream beat self-adaptive speed reduction, shunting or stopping strategy. The technical effects of improving accuracy and interpretability, reducing false alarm and missing alarm, ensuring that linkage can be executed in advance and meeting edge time delay budget are achieved.

The invention discloses a park management method based on digital twinning, particularly relates to the field of park operation, and is used for solving the problem that a multi-source event is difficult to stably chain under the conditions of compensation delay and evidence gap and causes misalignment of disposal triggering. Comprising the following steps of: registering an event in a pool to generate an event number and writing the event number into a platform arrival moment; screening and mapping an anchor point event to a park object identifier and a process stage identifier to generate a management token; checking a stage sequence and an evidence item requirement set according to an event chain rule table in event chain construction and generating a conflict point list; the delay portrait library generates a credible mark when a source is generated and forms a reverse sequence violation spectrum; the digital twin object relation graph forms an influence domain span mark; the closed table is returned to obtain a disposal convergence guarantee level; the cost-sensitive decision tree outputs a disposal template identifier, and the disposal template table generates a management action instruction and a trigger voucher and records an instruction acceptance identifier; and returning, comparing and freezing the exception management token, and updating the event chain rule table and the delay portrait library.

The invention provides an indoor SLAM map construction method and system, and relates to the technical field of image processing, and the construction method comprises the steps: building a unified global space reference through cross-device space-time calibration, supplementing the visual blind area information of a robot in real time through the global static features extracted by an environment camera, and obtaining the visual blind area information of the robot; and meanwhile, dynamic interference features are accurately eliminated in combination with continuous frame analysis, and finally, the pose of the robot is continuously corrected by taking global features as anchor point constraints in back-end optimization. The complete technology chain enables the constructed indoor three-dimensional map to have higher integrity, precision and consistency, significantly improves the positioning robustness and navigation reliability of the robot in an environment with dense goods shelves and dynamic activities, reduces the performance dependence on a robot body sensor and the scene reconstruction cost, and improves the reliability of the robot. And a stable and efficient environment sensing basis is provided for automatic operation of industries such as storage and archive management.

The invention discloses a sandbox type trusted data space construction method and equipment based on a trusted verification architecture, belongs to the technical field of data security circulation and trusted computing, and aims to overcome the defects that a traditional sandbox behavior is unknowable and untrusted and a strategy is rigid. The method comprises the following steps of: starting a sandbox in a hardware trusted execution environment and generating a task unique context identifier; intercepting system call by a monitoring agent; generating a chained operation certificate containing preorder certificate hash; compiling an advanced security policy into a deterministic finite automaton executable policy set; and the auditing unit is used for generating a decision instruction in an illegal scale, storing the chain anchor point to the non-tampering system, forcibly executing decision and generating a Merkel tree evidence. The equipment correspondingly comprises a sandbox management module, a behavior monitoring module, a strategy compiling module, a verification judgment module and an auditing execution module. The full-flow transparent tracing of the operation in the sandbox is realized, the strategy dynamic adaptation is supported, and the problem that a traditional sandbox monitoring log is easy to counterfeit and difficult to verify is solved.

The invention discloses an earthquake early warning device and method based on campus broadcast, and the method comprises the steps: carrying out the building response coupling analysis through receiving an early warning signal of an earthquake monitoring center, generating an earthquake magnitude-building coupling feature, and mapping the earthquake magnitude-building coupling feature into an enhanced early warning source adaptive to an acoustic environment; acoustic cavity detection is carried out based on threatened area identification, and differential playing topology is constructed; extracting a high-risk gathering area through personnel density scanning, generating personalized evacuation guiding content and determining a playing priority; high-precision time sequence control is realized by adopting a synchronous reference anchor point technology, and a multi-mode playing domain is constructed through carrier modulation and frequency division multiplexing; and finally, an acoustic navigation field is utilized to guide accurate scheduling and playing of audio signals, differential playing and accurate coverage of early warning information can be realized according to the anti-seismic characteristics and acoustic environment characteristics of different buildings, and an intelligent acoustic solution is provided for campus earthquake early warning.

The invention relates to the technical field of data processing, in particular to a data enhancement prediction method for the thermoelastic quality factor of a micro-hemispherical resonator, which comprises the following steps: S1, determining the radius size of the manufactured micro-hemispherical resonator, determining the simulation value range of the radius and thickness of an anchor point of the resonator, and determining the simulation value range of the thickness of the resonator; harmonic oscillators with different geometric boundary dimensions are established through high-temperature blow molding simulation; s2, thermodynamic simulation is carried out on the harmonic oscillator appearance obtained through blow molding simulation, and a harmonic oscillator thermoelastic quality factor data set is established; s3, performing data enhancement on the thermoelastic quality factor data set by adopting a cubic polynomial fitting method; and S4, training the enhanced thermoelastic quality factor data set by using a deep learning model to obtain a harmonic oscillator thermoelastic quality factor prediction model. According to the method, the bottleneck of scarcity of high-precision simulation data is broken through, unification of high precision and high efficiency is realized, the robustness and reliability of a prediction model are improved, and the method has wide engineering applicability and popularization value.

The invention discloses a self-stabilization system of an exterior wall robot, and relates to the technical field of engineering construction robots, and the self-stabilization system comprises a phase reference module, a frequency spectrum coupling module, a playback prediction module, a gap evolution module, a feedforward compensation module and an energy regulation and control module, constructing a millisecond-level phase comb index based on the wind vibration phase reference field, and locking a zero-phase anchor point in the phase comb index to form an initial constraint condition of attitude perception; according to the method, the closed-loop control of the outer wall robot from disturbance sensing to fine control is realized by constructing a six-stage self-stabilization process. The system introduces millisecond-level phase anchor point locking, cross-frequency information fusion, disturbance trend prediction, adhesion gap dynamic mapping, multi-channel compensation control and energy reverse regulation and control mechanisms, and can significantly improve the operation stability, adaptability and safety in a high-rise complex outer wall environment without depending on a mechanical redundant structure.

The invention relates to an anchoring system life intelligent evaluation method, system and device and a medium, and the method comprises the steps: constructing a topological network through the space coordinates of anchoring points and the rigidity of components, and quantifying the mechanical correlation between nodes; the load is monitored in real time and compared with a design value, and the dynamic sensitivity of the node is calculated by fusing material strength characteristics; identifying a set of overload source nodes based on a sensitivity threshold; a Monte Carlo path simulation technology is adopted, a material fatigue accumulation effect is combined to model a failure conduction probability, and a risk conduction path and a strength index are generated; integrating historical degradation data to predict single anchor life, and coupling the maximum path risk and the minimum single anchor life to calculate a system attenuation coefficient; and outputting an evaluation report containing the remaining service life and the position of the high-risk unit. The method breaks through the limitation of traditional single-anchor isolated evaluation, realizes dynamic quantification of the failure conduction effect of the multiple anchoring units, and solves the problem of maintenance decision blindness caused by conduction effect deficiency.

The invention discloses a cross-modal large model construction method and system based on track spatio-temporal characteristics, and belongs to the crossing field of artificial intelligence and dynamic spatio-temporal data processing, and the method comprises the steps: carrying out the sliding sampling and spatial distribution difference judgment through the semantic dynamic segmentation of multi-scale track spatio-temporal data, and generating spatio-temporal data blocks with consistent semantics; designing a space-time encoder of a hybrid architecture, extracting track time sequence association and spatial features, and unifying dimensions; constructing a text space-time fusion mechanism, and dynamically adapting cross-modal features by means of an anchor interface and gating fusion; a staged instruction fine tuning strategy is adopted, semantic alignment of space-time and text features is optimized firstly, then model top-layer parameters are trained cooperatively, complex scene adaptation is enhanced in combination with instruction difficulty progression and hard sample mining, and space-time constraint regular terms are introduced to guarantee output rationality. According to the method, high-precision cross-modal reasoning capability is provided for scenes such as track analysis and track prediction.

The invention discloses a controller programming method and device based on an equipment model, equipment, a medium and a product, the equipment model is used as a unified semantic anchor point, heterogeneous characteristics of physical equipment are converted into computable structured description, hardware adaptation and business logic are decoupled through a driving framework, a large model focuses on generation of a high-value control strategy, and the control strategy is optimized. Semantic drift and logic illusion of a program generation large model are remarkably inhibited by relying on double constraints of equipment document data and a knowledge graph, finally, an executable drive program meeting strict requirements of an industrial site is output through compiling verification of a closed loop, and due to the fact that manual development is not needed, development efficiency is improved, development cost is reduced, and development efficiency is improved. The equipment model provides a cross-protocol and cross-manufacturer standardized interface contract, so that the problem of poor reusability in traditional development is solved, and the reusability is improved.

The invention discloses a robot hierarchical path planning method and device in a complex environment, a medium and a product, and the method comprises the steps: responding to a path planning request of a robot in an airport terminal, dividing the airport terminal into a plurality of dynamic Voronoi regions according to an underlying environment grid map and people flow density information, a minimum path cost algorithm with people flow density weighting is adopted to construct a global path anchor point sequence, the global path anchor point sequence is further split into a plurality of local path planning requests, a double-heuristic cost function is constructed, an improved algorithm is adopted to generate local sub-paths, and according to surrounding environment information collected by a robot in real time, the local sub-paths are calculated. And optimizing each local sub-path by adopting a reinforcement learning algorithm, generating motion control instructions for the robot at different control time points, and realizing dynamic obstacle avoidance of the robot. The path planning efficiency and the motion safety of the mobile robot in a super-large-scale dynamic environment are remarkably improved, and the technical problems that a traditional method is high in calculation complexity and poor in real-time performance are effectively solved.

The invention discloses a project quality detection method and system based on green building design, and relates to the technical field of project quality detection. The engineering quality detection method and system based on the green building design comprises the steps that S1, BIM structured data, real-time monitoring data, structure acceptance data and construction event and window data are preprocessed; s2, on the basis of BIM structured data and in combination with a BIM model, the qualification state of the component and the quality grade of the partition are judged; s3, identifying a working condition switching anchor point and an event, and performing segmented division of a working condition process; s4, feature clustering and performance state discrimination are carried out, different working condition types are identified, and tagging management is carried out; s5, identifying dominant factors and performing attribution assignment through multi-dimensional label attribution and traceability judgment; and S6, performing grade judgment and grade response through multi-source time sequence item-by-item difference analysis. The problems of state interval disjunction and difficulty in accurate attribution and stable diagnosis caused by space-time mismatching of construction progress, BIM nodes and energy consumption environment data and data asynchronization are solved.

The invention discloses an authority management system of interactive equipment, particularly relates to the field of computer authority management, is used for solving the problem that an interface state is disjointed from an authority decision, and is characterized in that a time mark acquisition module is used for acquiring a role context, a process state and an interface operable item on a unified timeline to generate a context snapshot and writing the context snapshot into a time anchor point; the contract construction module establishes interface contracts based on context snapshots to perform homologous binding to form a constraint set, and the mapping evidence solidification module generates permission mapping table expansion constraints in a rendering stage and writes behavior evidence chain solidification presentation basis. The judgment evaluation module calculates a judgment credibility coefficient according to a time anchor point alignment operation event and an approval record to execute local judgment or record through generating a judgment record; and the version revision module executes a minimum change revision mark change on an interface contract according to the judgment record and releases a new permission mapping table to recycle an old version to form a reviewable sequence.

The invention discloses a steel welding seam performance evaluation method and system under the deep peak shaving condition, and relates to the technical field of welding joint performance evaluation.The method comprises the steps that a target application scene working condition and a to-be-tested steel structure are obtained, and a plurality of key welding seam anchor point sets are screened in combination with historical steel welding seam abnormal data sets; simulating deep peak regulation environment sampling to obtain a plurality of key weld anchor point test data sequence sets, and performing performance trend characteristic time sequence interaction to determine a plurality of key weld anchor point performance trend characteristic sets; and extracting failure test data evaluation working condition results, and weighting to determine a target application scene steel welding seam performance evaluation result. According to the method, the technical problems of inaccurate detection data, lack of working condition adaptability and insufficient data relevance caused by the fact that a traditional steel welding seam performance detection method does not perform dynamic working condition design for deep peak regulation are solved, and the purposes that the steel welding seam performance detection data are more accurate, the pertinence is higher, and the detection efficiency is improved are achieved. And the technical effect of accurate evaluation requirements of the steel welding seam performance under the deep peak regulation condition is met.

The invention discloses a component generation method based on anchor point parameter driving, a modeling method and a related product, and relates to the technical field of computer aided design. The component generation method comprises the following steps: creating an anchor point self-adaptive family and a component self-adaptive family, wherein the anchor point self-adaptive family comprises spatial positioning parameters for defining positioning points in a three-dimensional space; the component adaptive family comprises a position parameter associated with the spatial positioning parameter and a geometric parameter of the component; calling an anchor point adaptive family to generate an anchor point instance in a three-dimensional modeling environment, and forming a positioning point; calling a component adaptive family to generate a component instance associated with the positioning point; and when the spatial positioning parameters or the geometric parameters are adjusted, the component instances are automatically updated based on the adjusted parameters. Through adaptive family customization, space positioning control and a technical path generated through rapid connection, the core problems of low steel structure modeling efficiency and insufficient automation in the prior art are effectively solved.

The invention relates to the technical field of numerical control machining process control, and discloses an online calibration and closed loop iteration method for machining parameters of a circular mold. The method is used for solving the problems that in a traditional method, online closed-loop iteration of machining parameters of a circular mold depends on experience, and convergence criteria and step length safety constraints are lacked. The method comprises the following steps: firstly, performing task registration to lock a processing reference, measurement calibration, a partition table and a boundary threshold caliber; during machining, load, vibration, cooling and tool retracting states are collected, time marks and credibility are assigned, and state segments are segmented based on anchor points; only selecting a single main modulation variable in the partition, issuing according to a step interval and a slope constraint, and reading back for confirmation; judging the window according to hard and soft boundaries, and freezing and rechecking if protection is triggered or callback is carried out; and after the convergence criterion is met, the version is solidified, evidence indexes are filed, and parameter traceable convergence is achieved.

The invention relates to the field of industrial automatic control systems, and discloses a mine hoisting cage positioning information and emergency plan linkage control system, which comprises a conventional dynamic control unit and an absolute safety anchor point unit, the anchor point unit latches a continuous positioning value of a conventional unit when a binary anchor point sensor is triggered, and the absolute safety anchor point unit locks the continuous positioning value of the conventional unit when the binary anchor point sensor is triggered. The method comprises the following steps of: acquiring a theoretical reference value, comparing the theoretical reference value with the theoretical reference value to generate a drift calibration value, sending the drift calibration value to a conventional unit, and correcting a positioning reference by the conventional unit by using the drift calibration value. The online self-calibration of a control system is realized by using a safety anchor point, so that the safety unit is converted into an active calibrator; the accumulated drift of the high-precision sensor can be avoided during operation.

The invention provides a UWB anchor point deployment method and system based on multi-objective optimization and dynamic hotspot prediction. The method comprises the following steps: initially installing a UWB positioning system; constructing a dynamic hot area prediction model; predicting a candidate area of the dynamic hot area; constructing a multi-target performance function, and evaluating the candidate region of the dynamic hot region; performing anchor point position search by adopting a hybrid optimization algorithm; performing feedback adjustment based on a state monitoring result; outputting a result; according to the system, a multi-source data acquisition module is used for acquiring multi-source target data; the dynamic hot area prediction module is used for predicting a dynamic hot area candidate area; the multi-target performance evaluation module is used for screening high-value candidate regions; the optimal deployment module is used for searching an optimal UWB anchor point deployment position; the state feedback module is used for feedback adjustment; and the result output module is used for outputting the optimal UWB anchor point deployment scheme. According to the method and the system, the optimal UWB anchor point deployment scheme can be efficiently and accurately obtained, and the positioning accuracy under the underground complex working condition can be ensured.

The invention belongs to the technical field of path planning, and particularly relates to an intelligent path planning method for a four-way shuttling robot, which comprises the following steps of: generating an initial path by adopting a JPS (JavaScript Pattern Scheduling) algorithm and extracting key anchor points; the system responds through an innovative hierarchical decision-making mechanism: firstly, the stability of anchor points behind conflict points is evaluated, and if the stability is high, a minimum repair window is adopted; and if the stability is uncertain or low, topological influence depth verification is started to dynamically define an optimal local repair window, finally, local path replanning is performed in the window, and a generated new path section is seamlessly spliced with an original path. According to the method, efficient and low-overhead path updating in a dynamic environment is realized through a self-adaptive local repair strategy, and the stability and efficiency of robot operation are ensured.

The invention relates to the technical field of AR preview, in particular to a positioning-based AR scenic area guide method and system, and the method comprises the steps: obtaining the real-time three-dimensional position of a tourist through a Google ARCore fusion positioning engine based on a preset scenic area three-dimensional model and a space reference coordinate system; carrying out visual anchor point dynamic matching according to the real-time three-dimensional position, and identifying a current scene area corresponding to the current position of the tourist; performing virtual content scheduling and space rendering according to the current scene area, and generating space rendering content; and obtaining a visual attention behavior of a tourist on the space rendering content, screening out tourist-interested guide content according to the visual attention behavior, and generating a visual guide path according to the tourist-interested guide content. According to the method, by adjusting the loading and scheduling strategy of the virtual content, the requirements of personalized content display and smooth space guidance are met, and the experience feeling of tourists is enhanced.

A piezoelectric Micro-Electro-Mechanical Systems (MEMS) resonator employs a thin-film piezoelectric layer as an anchor, which eliminates a dominant loss source, anchor loss, which stems from the irreversible mechanical energy radiation through the anchors. By implementing fundamental or higher-order thickness Lame modes (TLMs) in the thickness direction, the piezoelectric resonator exhibits a substantial reduction of thermoelastic damping (TED) and increase of anchor quality factor. The piezoelectric resonator also provides temperature stability by utilizing a substrate with a turnover temperature, minimizing deviation on resonance frequency. This approach enables the use of thin-film piezoelectric materials as anchors, which can be precisely controlled to minimize losses. The piezoelectric resonator's compact design and CMOS-compatibility make it suitable for batch production at a minimal cost per unit. Furthermore, the highly frequency-stable temperature point of the piezoelectric resonator can be used for implementing oven-controlled oscillators for ultra-stable clock generation in various applications.

The invention discloses a risk assessment method and device based on a trusted data space and related equipment. The method comprises the steps of obtaining a digital contract, participant information, transaction data, environment data and data space operation data of the trusted data space; carrying out anchor point hash calculation to determine whether tampering is carried out; obtaining a plurality of risk indexes and risk characteristic values; and based on the global weight and the risk feature value of each risk index, obtaining the size of each risk level preset by the digital contract. According to the method, whether the data information is tampered or not can be quickly determined through anchor point hash calculation, changes of multi-source heterogeneous data such as digital contracts, participant information, transaction data, environment data and data space operation data can be determined in real time by utilizing the preset large language model, and risk judgment is made in real time. In addition, when the risk is judged based on the risk characteristic value of each risk index, the importance degree of each risk index in the global data contract is considered, so that the judgment is better.

The invention discloses a multi-round intelligent dialogue question-answering method, device and system for automatic inspection, and belongs to the field of intelligent inspection, and the method comprises the steps: constructing a corresponding number of word slots and a corresponding number of auxiliary anchor points according to the number of scenes contained in a task at the beginning of the task, and then repeating the following steps: obtaining and analyzing the first-round input information of a user, extracting intention information and word slot information, and updating a task context according to the information; generating guide theme information and executing query operation according to the intention information and the updated task context, obtaining a query result and setting a current auxiliary anchor point; generating information needing to be fed back to the user according to the guide theme information and / or the query result, and generating a question needing to be proposed according to the guide theme information; and according to the information needing to be fed back to the user and the questions needing to be put forward, generating the next round of reasoning guide content. The task anchor points are set and managed in the scene-oriented dialogue task, and multiple rounds of dialogues are associated into one task.

The invention relates to the technical field of wireless communication positioning, and discloses an electronic fence method and device based on Bluetooth distance measurement, equipment and a storage medium. The method comprises the following steps: deploying Bluetooth anchor point equipment in a to-be-monitored area and configuring fence boundary parameters, acquiring positioning signals broadcasted by a target positioning point on a plurality of frequency channels, and extracting carrier phase data and timestamp data of each channel; obtaining a first distance measurement result through multi-frequency phase difference calculation and propagation distance calculation, and carrying out round-trip delay calculation on the timestamp data to obtain a second distance measurement result; performing multi-path identification on the positioning signal to obtain a multi-path identification result, and performing weighted fusion on the first distance measurement result and the second distance measurement result based on the multi-path identification result to obtain a fused distance measurement result; and processing the fusion distance measurement result through a position judgment algorithm, and generating position state information of the target positioning point. According to the invention, the positioning precision and deployment environment adaptability of the electronic fence to area boundary monitoring are improved.

The invention discloses a binocular vision-based fish body quality non-contact estimation method, which comprises the following steps of: in a land-based facility circulating water high-density culture environment in which a fish body freely swims and is easy to block, firstly, obtaining a fish head local image through fish head region segmentation, and carrying out position alignment and scale normalization processing on the fish head local image; constructing a stable fish head geometric anchor point; then, the fish head anchor point is used as condition input, and a generative model is used for inferring and complementing the overall shape of the fish body so as to recover a continuous geometric structure of the fish body; on the basis, binocular stereo vision is combined to carry out stereo matching on key points of the head and the tail of the fish body, and the length of the fish body is obtained through triangulation; finally, based on the mapping relation between the body length and the quality, automatic estimation of the fish body quality is achieved, manual contact with the fish body is not needed, stable and automatic measurement of the fish body quality can be achieved in a complex breeding scene, and the method has the advantages of being high in adaptability, low in stress risk and high in application value.

According to the existing building lifting method based on additional settlement generated in the grouting process, settlement of one side of an existing building is larger than that of the other side of the existing building, additional settlement exists on the large-settlement side of the existing building, a supporting curtain is arranged, the portion, prone to additional settlement, of a large-settlement area is blocked, slurry is prevented from being lost outwards during follow-up grouting lifting, and the problem that the existing building is prone to additional settlement is solved. The lifting force is effectively restrained in an area needing to be lifted, and lateral support is provided; the anchor point is locked through local grouting, and then block-by-block circulating lifting is carried out; the structural stress of the soft foundation in the main lifting area tends to be stable firstly and does not continue to deteriorate, the problem of additional settlement is avoided, and the lifting precision is better guaranteed; according to the method, the main lifting area, the transition area and the stable area are arranged, space isolation and differential control are conducted on the grouting area, the pain points of global homogenization, stress unrestraint and risk management and control difficulty of traditional grouting are improved from the source, and generation of additional settlement can be eliminated easily.

A MEMS gyroscope for sensing rotational motion about an in-plane extending axis includes a body, a primary in-plane oscillator, a secondary in-plane oscillator and an out-of-plane oscillator. The primary in-plane oscillator includes an actuator element and is suspended from a primary anchor region on the body by a first spring system. The secondary in-plane oscillator is connected to the primary in-plane oscillator by a drive coupling spring system and is suspended from one or more secondary anchor points on the substrate by a second spring system. The out-of-plane oscillator is connected to the secondary in-plane oscillator by a third spring system. The drive coupling spring has higher rigidity in the first in-plane direction than in the out-of-plane direction, and the first spring system has higher rigidity in the first in-plane direction than the second spring system.

A rigid locking binder for mechanically securing large, heavy loads and tie-down chains used for securing loads. The variable length binder comprises a rigid, threaded rod coaxially coupled within an elongated sleeve, such that relative axial displacements of the rod relative to the sleeve or vice-versa results in lengthwise expansion or contraction. The binder has chain hooks at opposite ends, that are pivotally associated with remote ends of the rod and sleeve for coupling to loads or anchor points. An assembly for selectively locking the sleeve and rod together establishing a selected binder length comprises a rigid lever pivotally mounted to the sleeve that controls a thread locking mechanism. The lever is pivoted between parallel pin plates secured to the sleeve. The thread locking mechanism comprises a threaded half nut that selectively engages or disengages rod thread portions that are exposed through an access window defined in the sleeve.

A system of devices is provided to cooperate to tie-down a load and to cover the load with a tarp or cover. A knob with an optional locking base provides an anchor point to wrap and tie a tarp in the tarp anchoring system. The knob has numerous variations to accommodate attaching points and accessory characteristics. A compressing device secures the tarp over the knob. Two pieces move and lock within one another with sufficient clearance to receive the knob and the tarp. The knob having sufficient curvature to retain the compressing device when locked. Various mid-spanning hooking members cooperate with cords, straps, or ropes for a myriad of cargo lashing functionality and to receive the anchoring point. When used in combination, a user can employ the system to generate a web of load supports with a network of hubs and modes of attachment.

Real-Time Locating System (RTLS) enabled human to automated vehicle interaction apparatus and methods. Systems may include a control system configured to communicate with RTLS transceivers and anchors within an environment, and autonomous vehicles (AVs) equipped with sensors and RTLS communication transceivers. A control system determines a real-time location of RTLS transceivers (“Tags”) and provides navigation, task, and behavioral instructions to AVs based on location data. RTLS transceivers can be worn by humans or attached to objects, machines, equipment, floorspace, storage bins, or other destination, thereby enabling AVs to locate and travel to humans, objects, or other destination points, perform tasks based on location data, and dynamically alter actions and behaviors. Locating and traveling to destination points may include dynamic destination points based upon movement of a destination human or item. User interactions via RTLS tags may trigger specific actions, enhancing human-automated vehicle collaboration and operational efficiency in diverse environments.