136results about How to "Flexible deployment" patented technology

The invention relates to a power distribution network fault distance measurement system and a monitoring method thereof, and the system comprises a distributed monitoring terminal network, a master station data processing center and a communication network which cooperate to achieve the collection, processing and positioning analysis of fault signals. According to the invention, through a fault branch identification strategy combining distributed power supply side cooperative monitoring and power flow direction analysis, the problem of fault branch identification of the power distribution network containing the distributed power supply is effectively solved; the relative time synchronization calibration technology is adopted, a high-precision satellite synchronization module is not needed, the satellite signal interference problem is avoided, meanwhile, the hardware deployment cost is reduced, the system adopts the dual-mode communication and standby power supply design, the system adapts to complex operation environments such as cities and underground, and the reliability is high; the monitoring terminal adopts an ARM + FPGA dual-core architecture, gives consideration to real-time performance and data processing capability, can be directly connected with existing power distribution network equipment, and is low in transformation difficulty and flexible in deployment; the parameter self-correction function enables the system to adapt to line parameter change and environmental influence, and the long-term distance measurement precision is stable.

The application discloses a mixed expert network-based optical flow estimation method and system, belonging to the field of computer vision and artificial intelligence. First, the input two frames of images are preprocessed, low-resolution features are extracted through a mixed expert feature extractor (MoEE) containing a sparse activation mechanism to reduce redundant calculation; then, dot product operation is performed on the low-resolution feature maps to construct a 4D correlation volume to capture pixel motion matching relationship; subsequently, a mixed expert updater (MoEU) is used to iteratively update the hidden state and regress the residual flow increment through a dynamic expert selection mechanism to optimize the optical flow accuracy; finally, a multi-scale upsampling module is used to reconstruct the high-resolution optical flow field to output the high-precision optical flow result. The algorithm realizes dynamic resource allocation through the MoE architecture, significantly reduces the calculation cost while ensuring the accuracy of optical flow estimation, and can adapt to resource-constrained scenarios such as automatic driving and unmanned aerial vehicles, and can balance efficient inference and flexible deployment.

The application relates to the technical field of lamps, in particular to a solar-powered flash lamp and a control system thereof, wherein the flash lamp comprises a flash lamp body, an energy storage battery connected with the flash lamp body, a solar panel connected with the energy storage battery, a wireless communication module and a control component connected with the energy storage battery, the wireless communication module receives a remote control instruction of the flash lamp body, and the control component controls the opening and closing of the flash lamp body based on the remote control instruction. Therefore, the flash lamp control technology in the related art cannot realize wireless linkage triggering, and the construction and maintenance costs are high.

The invention relates to the technical field of mobile communication, in particular to an urban resident lifestyle identification method based on Wi-Fi handshake data. Wi-Fi handshake data of the mobile terminal are collected; based on the Wi-Fi handshake data, identifying visit events of an individual at different points of interest (POI), and forming a continuous visit sequence according to a time sequence; compressing the visited sequence, and extracting a long-term repeated high-frequency sequence mode; calculating the similarity between the users based on a high-frequency sequence mode, and obtaining a user group cluster with similar lifestyles through clustering; and performing feature analysis on each user group cluster, extracting a core visit sequence, and generating a lifestyle group portrait. Through the technical combination of Wi-Fi handshake data acquisition, sequence compression clustering and sample representativeness correction, comprehensive optimization of urban resident lifestyle identification on coverage integrity, result accuracy, implementation efficiency and cost control is realized, and high-quality data support is provided for urban related decisions.

This invention discloses a method and system for migrating edge-based on-network storage data based on SDWN and UAVs. Under the SDWN architecture, multiple UAVs are used as destination nodes for data migration. The multi-UAV-assisted on-network storage data migration problem is modeled as an NP-hard combinatorial optimization model of many-to-many communication routing planning. A two-stage solution method is designed: first, a node similarity matrix is ​​obtained based on the average comprehensive network state score between nodes, and spectral clustering k-means is used to obtain reasonable data file allocation decision variables and UAV access node decision variables. Then, for the path selection of many-to-many communication routing planning when multiple data files are transmitted in parallel, the whale optimization algorithm is used to solve the problem, effectively reducing link contention and shortening the maximum migration time of the system. Experimental results show that, on different topologies, after determining reasonable parameter settings, the algorithm of this invention outperforms the benchmark method in data migration efficiency and has lower migration time overhead, demonstrating the effectiveness and applicability of the algorithm.

The invention belongs to the technical field of vehicle cleaning, and particularly relates to a vehicle automatic identification and self-adaptive profiling following cleaning system based on three-dimensional contour scanning, which comprises an edge-cloud collaborative real-time sensing and modeling subsystem which is deployed in a cleaning channel, runs at an edge computing node and is used for fusing a multi-modal data stream to obtain a multi-modal data stream; a vehicle semantic fine digital model attached with material, texture and microcosmic contour features is generated online and updated in real time in an incremental mode by taking a previous frame of reconstruction model as a reference; no matter cars, commercial vehicles or medium and large SUVs, the system can dynamically identify geometrical characteristics of the cars, commercial vehicles and medium and large SUVs and automatically generate cleaning paths attached to the curved surfaces of vehicle bodies, the problem of cleaning blind areas caused by structural rigidity of a traditional spray washing machine with the fixed volume is thoroughly solved, and one-machine-through cleaning and global coverage are achieved.

This invention relates to a commercially compatible and flexibly deployable OFDM backscatter communication method and system, belonging to the field of wireless communication. This invention enables nodes to perform backscatter communication without deploying synchronization modules, transmitting their own information to a commercial OFDM receiver with low power consumption, thus avoiding the limitation of node deployment range imposed by the sensitivity of synchronization modules. This invention uses a single-carrier signal from the environment as the excitation signal and transmits node information to the OFDM receiver through low-power cross-system conversion from single-carrier to multi-carrier. For the incident single-carrier excitation signal, the node performs low-power replication and shifting of the signal's spectrum during reflection, converting it into an OFDM reflected signal with multi-carrier characteristics. Since the node does not need to synchronize with the excitation signal before reflection, this invention significantly increases the effective operating radius of the backscattering node and enhances node deployment flexibility. Simultaneously, because the node achieves cross-system conversion from single-carrier to multi-carrier OFDM signals, it also possesses the advantage of commercial compatibility.

The utility model discloses a mobile energy storage charging station belongs to charging station technical field, including container, liquid cooling device, multiple battery group and flat -bed car, the inside of container is provided with a plurality of battery holder, and the both sides of container rotatably are provided with side box door, and battery holder can pass through side box door and set up in the outside of container, and liquid cooling device fixedly sets up at the top of each battery holder, and each battery group sets up on battery holder, and sets up below liquid cooling device, and container detachably sets up on flat -bed car, this mobile energy storage charging station places multiple battery group on battery holder, and battery holder sets up in container, and two containers set up on movable flat -bed car, realizes nimble disposition, dynamic power supply, reduces fixed station redundancy, expands charging station power supply radius range, eliminates power supply blind area, satisfies charging station temporary expansion, temporary construction site, heavy truck emergency power supply demand.

The invention discloses an ice rink detection trolley based on UWB positioning and a detection method thereof, and relates to the technical field of automatic detection robots. The intelligent trolley body realizes motion control through a path planning result, the vehicle-mounted NUC lower computer cooperates with the remote control upper computer to realize remote control and data reading, the UWB positioning module cooperates with the UWB base station to solve the current position, the laser radar sensor is used for obstacle detection and local path re-planning, the IMU attitude sensor acquires an attitude angle, and the vehicle-mounted NUC lower computer cooperates with the remote control upper computer to realize remote control and data reading. The temperature and humidity sensor, the illumination sensor and the infrared temperature sensor are used for respectively measuring environment temperature and humidity, illumination intensity above the ice surface and ice surface temperature, and the communication module is used for realizing real-time data transmission. Multiple sensors are integrated and carried on the basis of an intelligent trolley body, the automation degree is improved, manual intervention is reduced, the positioning precision and repeatability of a detection point location can be guaranteed, the dynamic obstacle avoidance capacity is achieved in combination with path planning, and one-time synchronous collection of multiple parameters of a single point location is achieved.

The invention relates to a TSN (Time Sensitive Network) timestamp recovery method based on an FPGA (Field Programmable Gate Array), which belongs to the technical field of TSNs and comprises the following steps of: S1, collecting synchronous messages of different TSN nodes in parallel by multiple ports of the FPGA, and analyzing timestamp data by taking a message serial number as an anchor point; s2, constructing an incomplete timestamp matrix and a mask matrix by adopting a time sliding window mechanism, and automatically marking missing data; s3, a random index set is generated through LFSR, and matrix sparse sampling is achieved through a bitmap judgment unit; and S4, based on an FPGA accelerated CUR matrix decomposition algorithm, solving a pseudo-inverse matrix through parallel MGS-QR decomposition, and reconstructing a complete timestamp matrix through block parallel matrix chain multiplication. The FPGA parallel architecture, ping-pong cache and fixed-point number processing are adopted, microsecond-level low-delay recovery is achieved, hardware resource occupation is greatly reduced, robustness in a severe network environment is improved, and the method is suitable for a high-precision clock synchronization scene of an industrial TSN node.

The application discloses an anti-interference water robot formation performance positioning system and method, which comprises a water robot cluster, a GPS positioning module, a water area visual positioning module, a short-distance sensing module, a core processing and communication module, an upper computer control platform and an environment sensor, and each module adopts a water special protection design. The positioning method comprises six steps of system initialization and parameter calibration, multi-source positioning data acquisition and preprocessing, multi-source positioning information fusion, anti-interference positioning calibration, formation positioning error correction and positioning result output and feedback. The anti-interference water robot formation performance positioning system and method can realize centimeter-level accurate positioning through the environment adaptive weighted fusion, exclusive interference calibration and global-local collaborative error correction strategy, can effectively resist complex interference, has the characteristics of strong real-time, high reliability and good practicability, and is suitable for various water robot formation performances and travel and travel performance scenes.

The embodiment of the present application provides a kind of test equipment and photovoltaic module test method, test equipment is used to test photovoltaic module, test equipment includes: pressure detection unit, including at least one pressure sensor, set to the front of photovoltaic module, pressure sensor is configured to measure the wind pressure that photovoltaic module surface bears;Displacement detection unit, including at least one laser displacement sensor, laser displacement sensor is configured to correspond to the back of photovoltaic module setting, laser displacement sensor is configured to determine the displacement information of photovoltaic module;Data processing unit, with pressure sensor and displacement sensor electric connection, data processing unit is configured to collect wind pressure and displacement information, and by wind pressure and displacement information, determine the corresponding relationship between wind pressure and the structural response of photovoltaic module.The test equipment disclosed in the present application realizes the direct correlation test of wind pressure and structural response under real wind environment, avoids the defects that prior art cannot reflect real wind field.

The application relates to the technical field of computing power resource management, and discloses a computing power operation management method based on artificial intelligence, which comprises the following steps: S1, data acquisition and prediction; S2, intelligent scheduling and distribution of computing power resources; S3, comprehensive index optimization of computing power resources; S4, cross-regional multi-service resource integration; and S5, security management and monitoring of computing power resources. The application uniformly schedules and distributes multiple computing power resources, thereby greatly shortening the task execution time and improving the work efficiency; the optimal distribution strategy under different comprehensive indexes of computing power resources is analyzed, various comprehensive indexes are optimized and balanced, thereby realizing low-delay and high-response task scheduling; a unified computing power resource management platform is constructed, a sharing mechanism and cross-service integration are established, computing power resources in different regions, services and departments can be integrated, efficient utilization of the computing power resources and flexible deployment across regions are realized.

The invention relates to the technical field of wireless communication, and provides a seabed node wireless communication anti-interference system, which comprises a high transmission rate signal module and a low transmission rate signal module based on a millimeter wave frequency band, the high-transmission-rate signal module is configured to transmit and receive network data streams and is used for seismic data transmission; the serial port signal module is configured to be used for time service signal transmission; the second pulse signal module is configured to be used for clock calibration; the antenna transmitting plane of the high-transmission-rate signal module intersects with the antenna transmitting plane of the low-transmission-rate signal module, and the intersection angle is larger than half of the sum of the half-power beam width of an antenna. The arrangement distance of the wireless communication module can be reduced to a greater extent in narrow working scenes such as seabed nodes so as to better adapt to space requirements and effectively eliminate signal interference, and stable transmission of high-speed seismic data, low-speed control and time service signals is guaranteed. The method provided by the invention has corresponding advantages.

This application provides an integrated vehicle-mounted refrigerator and water tank thermal management system, characterized by comprising: a heat pump circuit configured to generate a high-temperature heat source for heating and a low-temperature cold source for cooling; a heating main circuit coupled to the high-temperature heat source end of the heat pump circuit to obtain heat; a cooling main circuit coupled to the low-temperature cold source end of the heat pump circuit to obtain cooling capacity; an electric drive thermal management circuit selectively connected to the heating main circuit and the cooling main circuit to dissipate condensation heat generated in the heat pump circuit or recover waste heat from the motor; a water tank thermal management circuit selectively connected to the heating main circuit and the cooling main circuit to provide heat or cooling capacity to the water tank; and a refrigerator thermal management circuit selectively connected to the cooling main circuit and the heating main circuit to provide heat or cooling capacity to the refrigerator.

The application discloses a kind of unknown relay transceiver auxiliary-based TDOA passive positioning method and system, can realize real passive positioning, existing relay auxiliary positioning method is dependent on own continuous emission signal to obtain two-way TOA observation, it is difficult to apply to passive or non-cooperative target positioning scene;The application is based on the TDOA observation quantity of target itself radiated signal and is positioned, without actively emitting signal, applicable to passive target and high concealment requirement application scene.By constructing two complementary TDOA observation models, the joint positioning of relay and target can be realized at a single observation moment, effectively reducing the dependence on the continuity of observation data, and improving the system robustness in complex environments;By semi-definite relaxation technique, a global initial solution is obtained, and then a weighted least squares is used for fine error correction.Under the condition of moderate observation noise, the positioning accuracy of the proposed algorithm can approach the Cramer-Rao lower bound, which is better than the existing positioning method without joint correction.

The invention discloses an equestrian competition performance prediction system based on multi-modal monitoring, and relates to the technical field of equestrian sport monitoring and intelligent prediction. The system comprises an acquisition module, a processing module, a prediction module, a display module and a data closed-loop optimization mechanism. The acquisition module is used for acquiring horse video and physiological and environmental multi-modal data through multiple types of equipment; the processing module is used for realizing data fusion processing, gait behavior recognition and facial expression emotion evaluation; the prediction module outputs a competitive performance quantitative score and risk early warning based on a machine learning model; the display module provides a visual interaction interface; and the data closed-loop optimization mechanism realizes model iterative optimization through competition result return. According to the method, the problems of single monitoring dimension, data splitting, lack of prediction capability and the like in the prior art are solved, comprehensive perception of horse states and accurate prediction of competitive performance are realized, the scientific level of training management is improved, and the method has wide practical prospects and industrialization values.

The application relates to the roadway drainage field and discloses a novel roadway efficient drainage device, which comprises an outer through pipe, a water inlet pipe, a sewage storage bin, a drainage port and a variable-diameter port, an inner through pipe, an air inlet pipe and an air outlet pipe, and a sewage port one is arranged on the outer surface of the water inlet pipe; the inner through pipe is composed of the air inlet pipe and the air outlet pipe, and a sewage port two corresponding to the sewage port one is arranged on the outer surface of the air inlet pipe. The device utilizes the introduced high-pressure wind to generate negative pressure in the air inlet pipe inner cavity, and sewage is sucked through the sewage port one and the sewage port two, so that the sewage continuously flows to the left along the air outlet pipe and the sewage storage bin, the flow rate is increased when passing through the variable-diameter port, and finally the sewage is discharged along the drainage port. The device has the advantages that: the volume is small, the device is more flexible to deploy than a wind pump, the narrow space inside the device utilizes the Bernoulli principle to significantly improve the drainage efficiency, the sewage port one and the sewage port two are designed to enable the device to have a certain filtering function, and the overall practicability is enhanced.

The utility model belongs to the technical field of vehicle-mounted display screen, concretely relates to a vehicle-mounted wireless display screen, has panel and sets up the fixed bottom shell on the panel, is fixedly arranged with the assembly seat on the panel, screen assembly and control panel are movably arranged on the assembly seat, further include: locking mechanism, locking mechanism sets up on the assembly seat, screen assembly is connected with the assembly seat through locking mechanism, jacking mechanism, jacking mechanism sets up on the assembly seat, screen assembly is jacked up after unlocking through jacking mechanism, screen assembly and the assembly seat are set up in split mode, so that the user can freely move the equipment, and the use convenience is improved, and screen assembly is jacked up through spring drive jacking block after unlocking, and the jacking mechanism is convenient for the user to take out easily, pressure sensor cooperates with control panel, can automatically detect screen assembly installation state and trigger locking, and the installation efficiency is improved.

The invention belongs to the technical field of deep sea navigation positioning, and provides an inertial navigation tight coupling correction method and system based on a time-sharing collaborative underwater acoustic beacon, and the technical scheme is as follows: in the navigation process of an AUV (Autonomous Underwater Vehicle), before acoustic auxiliary information arrives, a pure inertial navigation mode is adopted, and based on acquired IMU data and depth sensor data, inertial navigation calculation is carried out; obtaining an AUV navigation state containing an accumulative error; after the acoustic auxiliary information arrives, switching to a combined navigation mode for resolving, utilizing beacons at different positions to cooperatively broadcast acoustic information in a time-sharing manner, resolving the horizontal distance between the AUV and each beacon, and applying a vertical coordinate constraint; based on the measurement distance and the AUV navigation state containing the accumulative error, fusion processing is carried out through a tight coupling filtering algorithm, the accumulative error in the AUV navigation state is corrected, and a corrected AUV positioning result is obtained. And long-endurance and high-precision underwater positioning of the AUV is realized.

The invention discloses a kitchen open fire hidden danger early warning model based on YOLO lightweight, and relates to the technical field of artificial intelligence, and the model comprises the following steps: S1, obtaining an original monitoring image of a kitchen environment, employing a preprocessing algorithm fusing bilateral filtering and adaptive histogram equalization, carrying out the denoising and enhancement of the original monitoring image, and outputting a standardized image; and S2, based on the standardized image, applying a structured pruning strategy to a pre-trained YOLOv5 model, and removing redundant convolutional layers and channels in a backbone network of the pre-trained YOLOv5 model. According to the kitchen open fire hidden danger early warning model based on YOLO lightweight, through a preprocessing mode of fusing bilateral filtering and adaptive histogram equalization, image noise is removed, flame edges and key features are completely reserved at the same time, the anti-interference capability of flame recognition in a complex kitchen environment is greatly improved, and the method is suitable for popularization and application. Clear risk guidance is provided for the user, the hidden danger can be quickly handled, and the kitchen fire protection level is comprehensively improved.

The utility model relates to the technical field of medical equipment, and particularly discloses an oral cavity CT medical vehicle which comprises a vehicle head and a compartment. The vehicle head is mounted in front of the compartment; a first compartment and a second compartment are arranged in the compartment, the first compartment and the second compartment are arranged side by side, and the first compartment is communicated with the second compartment through a movable door; the first compartment is close to the rear part of the carriage, and the second compartment is close to the front part of the carriage; an outlet is formed in the rear of the compartment; a center console is arranged in the first compartment, a vertical oral cavity CT instrument is arranged in the second compartment, and the vertical oral cavity CT instrument is controlled by the center console. According to the medical compartment, examination equipment and an operation area are integrated into a whole, so that the turnover time of a patient among different examination places is shortened, oral CT examination can be quickly completed, the patient can obtain a diagnosis result more quickly, follow-up treatment can be carried out in time, and illness state delay is avoided.

The invention provides a charging pile communication system and a charging pile communication method. The first gateway charging pile is in communication connection with the charging pile management server. The plurality of first client charging piles are communicatively connected to the first gateway charging pile. And the first gateway charging pile performs charging current configuration on the first gateway charging pile in the first charging pile group and the plurality of first client charging piles based on the total current limitation of the first charging pile group. Therefore, a plurality of customer charging piles do not need to be independently connected with the mobile communication network, so that the charging piles can be more flexibly arranged in various charging fields, and the resource consumption of the mobile communication network is obviously reduced.

The invention discloses a modular mobile workshop for mite culture, and relates to the technical field of mite culture engineering.The modular mobile workshop comprises a modular mobile workshop unit, the modular mobile workshop unit comprises a workshop body, and wall plates of the workshop body are constructed through heat preservation plates; the environment regulation and control unit is connected with the modularized mobile workshop unit; the high-precision environment regulation and control unit at least comprises an air conditioning system for regulating the temperature in the workshop; according to the modularized mobile workshop for cultivating mites, the temperature and humidity regulation and control fresh air handling unit and the air conditioning system are cooperatively arranged, and air supply pipelines, exhaust pipes and exhaust pipes of the temperature and humidity regulation and control fresh air handling unit and the air conditioning system are gathered in the integrated control unit in a crossed arrangement mode, so that source forced mixing and uniform distribution of temperature and humidity regulation airflow are achieved; therefore, a highly-stable and uniform temperature and humidity field is constructed in the workshop main body, an accurate and controllable optimal growth environment is provided for amblyseius steseii, and the unit culture density and population development synchronism are remarkably improved.

The utility model provides a visual tipping bucket type rainfall station which comprises a rain gauge, a camera and a control box are installed on the rain gauge, an acquisition bucket and a tipping bucket type rain gauge which are arranged up and down are arranged in an inner cavity, the camera is used for shooting scene photos of the rain gauge, and a remote terminal unit (RTU), a rechargeable lithium battery and a wireless communication module are arranged in the control box. According to the tipping-bucket rain gauge, the functions of rainfall monitoring, data transmission and visual monitoring are integrated, the camera can shoot scene photos of the rain gauge in real time in all directions, and whether the tipping-bucket rain gauge is turned over by mistake under the condition of no rainfall or is not turned over correctly in the rainfall process or not can be judged by analyzing the photos collected by the camera; and the rainfall monitoring accuracy is improved. Through modular design and multi-technology fusion, the pain points of a traditional rainfall station in the aspects of rainfall misjudgment, remote maintenance, environmental adaptability and the like are solved, the system is particularly suitable for scenes such as remote mountainous areas and flood prone areas, and the system has the advantages of being flexible in deployment, low in operation and maintenance cost and high in data reliability.

The application discloses a portable charging pile and belongs to the technical field of charging piles. The portable charging pile comprises a box body, a wall-penetrating terminal and an output connector are arranged on the box body. The wall-penetrating terminal and the output connector provide interfaces for external power supply access and power output, so that the portable charging pile can be freely moved to the vicinity of the external power supply for connection and charging operation. Further, a circuit breaker is arranged in the box body and is electrically connected with the wall-penetrating terminal. A charging assembly is also arranged in the box body, and the charging assembly comprises a charging module, the charging module has an alternating-current terminal and a direct-current terminal, the alternating-current terminal is electrically connected with the circuit breaker, can receive external three-phase alternating current and convert the three-phase alternating current into direct current suitable for charging of an automobile battery. The direct-current terminal is connected with a direct-current side assembly, and the direct-current side assembly is electrically connected with the output connector. The direct-current side assembly is used for conducting the direct current converted by the charging module, and finally transmits the power to a user load through the output connector, so that the charging function is realized.

The utility model relates to the technical field of energy storage, in particular to a modularized lithium ion battery energy storage cabin which comprises a cabin body, a battery chamber and an equipment chamber are arranged in the cabin body, a partition plate is arranged between the battery chamber and the equipment chamber, and the battery chamber comprises a plurality of battery racks distributed in the length direction of the cabin body. Two groups of battery clusters can be placed on each battery rack along the height direction of the cabin body, each group of battery clusters comprises a plurality of battery modules, and all the battery clusters are equally divided into two sets of battery stacks; a high-voltage box guide rail for mounting a high-voltage box is arranged below each battery rack, and a high-voltage box cover plate is arranged between the battery rack and the high-voltage box guide rail of the high-voltage box; the equipment chamber is located on one side of the cabin body in the length direction, the side, located on the cabin body in the length direction, of the equipment chamber is open, and the equipment chamber is divided into a liquid cooling chamber and an electrical chamber in the width direction of the cabin body. The modular design of one rack with two clusters and one cabin with two stacks is adopted, the spatial layout is reasonable, and the expansibility, compatibility and environmental applicability are high.

This invention discloses a covert communication system for unmanned aerial vehicles (UAVs) based on a non-orthogonal multiple access (NOMA) intelligent reflector. A covert UAV model based on NOMA is established, the minimum error detection probability is calculated, and the maximum covert transmission rate is optimized. The intelligent reflector reflects the combined signals of the UAV to both the NOMA public signal receiver and the NOMA covert signal receiver, allowing eavesdroppers to monitor the presence of the covert signal. A public link interference mechanism is designed to monitor the covert link. Using the transmission power of the NOMA public signal, the transmission power of the NOMA covert signal, the UAV's three-dimensional position, and the intelligent reflector's reflection coefficient matrix as variables, the maximum covert transmission rate is optimized under multiple constraints, including ensuring the communication performance of the public link and the covert link's concealment and decoding performance. This effectively improves the covert transmission rate of the UAV system based on a non-orthogonal multiple access intelligent reflector.

The utility model discloses a simple lifting appliance for building construction, and belongs to the technical field of lifting devices. The lifting appliance comprises a front supporting leg and a rear supporting leg which are oppositely arranged, and the tops of the front supporting leg and the rear supporting leg are detachably connected through a first cross rod; a mounting frame with a winch is mounted on the first cross rod, the end, away from the rear supporting leg, of the first cross rod is coaxially connected with a telescopic second cross rod, and the second cross rod is sleeved with a U-shaped frame with a pulley. The front supporting leg adopts two stand columns, a guide rod is arranged between the stand columns to guide a steel rope path, and a triangular reinforcing structure is formed by an inclined rod and a supporting rod; the guide rod cooperates with the first falling protector and the second falling protector, the steel rope is driven by the winch to slide along the guide rod, abnormity is monitored in real time through the falling protectors, and the steel rope is prevented from being out of control and falling. Through modular design, multiple safety protection and an adjustable structure, the problems of high equipment cost, complex disassembly and assembly and poor stability in material transportation of low floors are solved, and the device has the advantages of being rapid in deployment, stable in bearing, safe, reliable and the like.

The application belongs to the technical field of deep sea navigation and positioning, and provides an inertial navigation close-coupled correction method and system based on time-sharing cooperative underwater acoustic beacons, which is characterized in that, during the navigation process of an AUV, a pure inertial navigation mode is adopted before the arrival of acoustic auxiliary information, inertial navigation is solved based on collected IMU data and depth sensor data, and the navigation state of the AUV containing accumulated errors is obtained; after the arrival of the acoustic auxiliary information, a combined navigation mode is switched to for solving, acoustic information is broadcasted by time-sharing cooperation of beacons at different positions, the horizontal distance between the AUV and each beacon is solved, and a vertical coordinate constraint is applied; the measured distance and the navigation state of the AUV containing accumulated errors are fused by a close-coupled filtering algorithm, the accumulated errors in the navigation state of the AUV are corrected, and the corrected positioning result of the AUV is obtained. Long-time navigation and high-precision underwater positioning of the AUV are realized.