605 results about "Remote area" patented technology

The invention discloses an intelligent scheduling method for video equipment based on solar power supply, and relates to the technical field of energy management and video. Through multi-dimensional data acquisition, intelligent prediction and dynamic scheduling technologies, the energy management challenge faced by solar power supply video equipment in remote areas is effectively solved, the power generation amount, equipment power consumption and environmental change data are acquired in real time by using an Internet of Things sensor, and the energy management efficiency is improved by combining time sequence analysis and a machine learning algorithm. The power generation amount and power consumption fluctuation are accurately predicted, an energy supply and demand matching model is established based on a dynamic planning algorithm, a power distribution strategy is optimized, operation of high-priority equipment is guaranteed preferentially when the power generation amount is insufficient, meanwhile, the working mode of the equipment is dynamically adjusted through a reinforcement learning algorithm, and energy consumption optimization and self-adaptive matching are achieved. The energy utilization efficiency and the system stability are improved, the adaptive capacity to dynamic environment changes is enhanced, and continuous and stable operation of video equipment under complex conditions is ensured.

The invention relates to the technical field of unmanned aerial vehicle geological survey, and discloses a path planning method and system for unmanned aerial vehicle geological survey, and the method comprises the steps: obtaining the image, spectrum and topographic data of a remote mountainous area through a multispectral sensor and a laser radar, and recognizing potential vein abnormal points through data fusion and geological feature analysis; and constructing a geological interestingness weight map and planning a flight path. Dense sampling flights are performed in a high interestingness region, high resolution data are processed in real-time to identify key reconnaissance targets, a weight map is updated, and a flight trajectory is dynamically adjusted. Through the closed-loop self-adaptive exploration process, accurate positioning and feature description of the hidden vein are realized, the mineral exploration efficiency is improved, the labor cost and the safety risk are reduced, and an innovative solution is provided for mineral resource exploration in remote areas.

The invention relates to the technical field of new energy, and discloses an independent energy supply system suitable for a high-altitude area and a control method thereof, electric power is generated through photovoltaic power generation, part of the electric power is stored in a storage battery, and the residual electric power is used for electrolyzing water to prepare hydrogen and oxygen, and the hydrogen and the oxygen are respectively stored. The oxygen content in the air is increased by mixing the oxygen, the oxygen and the hydrogen jointly enter the fuel cell for chemical reaction, and stable electric power and hot water are output. In order to ensure the stability of the system, a low-temperature air source heat pump is configured to serve as standby heat supply equipment, and accurate adjustment and storage of electric power are achieved through cooperative work of a load tracking module and an efficient storage battery. According to the system, photovoltaic power generation, hydrogen energy storage and fuel cell technologies are combined, continuous and reliable power and heat combined supply can be achieved in high-altitude areas lack of power grid support, and an efficient and environment-friendly solution is provided for energy supply in remote areas.

The invention belongs to the technical field of lake remote sensing monitoring, discloses a lake water level and water reserve dynamic monitoring method based on satellite-borne active and passive remote sensing information fusion, and effectively solves the problem that lake information in remote areas is difficult to efficiently and accurately obtain. Comprising the following steps: S1, preprocessing laser data; s2, preprocessing the multispectral data; s3, taking the ICESat-2 data as a core, combining with a multispectral image covering a corresponding region, and constructing a lake bottom DEM inversion data set based on neighborhood features; s4, constructing and training an elevation inversion convolutional neural network model; s5, predicting and generating a lake bottom DEM by using the trained elevation inversion convolutional neural network model; and S6, calculating the absolute water volume of the lake according to the DEM at the bottom of the lake, and carrying out lake water level-water reserve monitoring. According to the invention, long-time-sequence hydrological observation of remote region lakes can be effectively realized with low cost.

The invention relates to the technical field of farm irrigation, in particular to a multi-source fusion and V2X networked vehicle high-precision positioning system and method, and the system comprises a vehicle-mounted terminal which integrates the following modules: a multi-source sensor group which comprises a laser radar (LiDAR), a binocular vision camera (BVC), a global positioning system (GPS), an inertial measurement unit (IMU) and a wheel speed sensor; the V2X communication module supports vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication and is used for receiving positioning data of an adjacent vehicle and roadside equipment; the system effectively solves the problems that in the prior art, a traditional RTK technology depends on a ground base station, a positioning blind area exists in a signal shielding area, data conflicts are easily caused by independent work of multiple sensors, RTK needs to be covered and supported by dense base stations, and the positioning accuracy is poor. And high-precision positioning cannot be realized in signal shielding scenes such as remote areas, tunnels and mountainous areas, so that an automatic driving function fails.

The invention relates to the technical field of environment detection, and discloses an extensible underground water and soil in-situ online observation system, which comprises an underground water and soil automatic online monitoring management platform, an underground water control module, a soil control module and an auxiliary module, the underground water and soil automatic on-line monitoring management platform can check the state of the detection module and the detected data. The problems that when an existing underground water and soil on-line monitoring device monitors underground water and soil through an on-line sensor, the sensor may have drifting or errors in a complex environment, and the data accuracy is affected are solved; in remote areas and complex terrains, data transmission interruption can be caused by network instability; the problems that underground water and soil equipment are managed separately, data output is not synchronous, the data analysis difficulty is increased, and complex data analysis and modeling are difficult to achieve are solved.

The invention discloses a remote area video monitoring automatic anomaly detection method based on deep learning. The method comprises the following steps: S1, collecting remote area video data and completing preprocessing; s2, adjacent frame difference is executed in the transverse direction, channel fusion is executed in the longitudinal direction, and a composite frame set is generated; s3, performing bidirectional mask modeling and disturbance reconstruction on the composite frame set to obtain a regional feature matrix; s4, mapping the regional feature vectors into nodes, constructing a weighted adjacent matrix, and generating graph structure representation; s5, performing Laplace characteristic decomposition on the graph structure representation, and judging that the nodes are abnormal; s6, according to the abnormal node set, sub-graphs are divided according to topological neighborhoods, abnormal scores are calculated, and an abnormal region set is obtained; and S7, mapping the abnormal region set into the video data, and outputting an abnormal position, starting and ending frame numbers and an abnormal scoring result. According to the method, efficient and automatic anomaly detection of videos in remote areas is realized, the false alarm rate is remarkably reduced, and the anomaly positioning precision is improved.

The invention discloses an independent micro-grid optimal scheduling method based on multi-time scale source-load-storage coordination, and belongs to the technical field of power system optimal scheduling. The output volatility of renewable energy sources (such as wind energy and solar energy), the randomness of load demands and the adjusting capacity of an energy storage system and demand response resources are comprehensively considered, and the economical efficiency, reliability and renewable energy source consumption rate of the system are comprehensively improved through multi-level optimization scheduling. The method is suitable for an independent micro-grid system in remote areas (such as industrial and mining areas, islands or frontier sentries), aims to solve the technical problem that traditional single-time-scale scheduling cannot adapt to variable working conditions, and provides an innovative solution for low-carbon, efficient and reliable energy supply.

The invention discloses a radar station lightning protection device online monitoring method and system based on the Internet of Things, and relates to the technical field of equipment online monitoring. According to the invention, sensors are deployed in each component of the lightning protection device, real-time transmission and integration of monitoring data are realized by using the Internet of Things technology, a health degree evaluation model based on artificial intelligence is constructed, and remote automatic monitoring and health degree prediction of the lightning protection device of the radar station in a remote area are realized; according to the invention, the health degree evaluation model is combined with the correction coefficient to analyze the assembly evaluation data, and the health degree of each component is accurately predicted, so that the lightning protection effect of the lightning protection device is determined; according to the technical scheme, the space-time limitation of traditional manual inspection is broken through, the problem that a lightning protection device of a radar station in a remote area is difficult to monitor is solved, and conversion from passive maintenance to active prediction is achieved; through real-time data acquisition and intelligent analysis, potential hidden dangers of components can be found in advance, so that workers can take measures in time, and the lightning stroke risk is reduced.

The invention discloses an educational resource recommendation method and system based on artificial intelligence. The method comprises the following steps: acquiring audio data, interaction data and task data acquired by a user terminal; performing feature extraction on the audio data, the interaction data and the task data to obtain an emotion feature vector, a learning rhythm vector and a content feature vector; inputting the emotion feature vector and the learning rhythm vector into a pre-constructed emotion recognition model to obtain a psychological state vector; the cognitive load is calculated based on the learning rhythm vector and the content feature vector, and then the cognitive load is corrected through the psychological state vector; matching a state interval of the corrected cognitive load according to a preset threshold interval; and according to the state interval, adjusting a difficulty coefficient of the recommended course, rearranging a course content sequence and an auxiliary learning prompt, generating structured data, and outputting the structured data as an intelligent auxiliary learning recommendation result. According to the invention, online learning interactivity and teaching quality in rural and remote areas are effectively improved.

The invention discloses a monocular image depth estimation method based on multi-scale information fusion, and the method comprises the steps: outputting a first feature map representing local information through a CNN branch, and outputting each second feature map representing global feature correlation at a Transform branch; enhancing the input first feature map and each second feature map from three dimensions of channel, space and cross-scale by using an adaptive fine-grained channel space collaborative gating module to obtain each third feature map; using attention mechanism decoders constructed based on an up-sampling module to sequentially process the input third feature maps to obtain a monocular image depth estimation feature map; according to the invention, the problem that the processing capability of a model on a remote area in a monocular depth estimation scene cannot be improved because local features and global features cannot be effectively combined in the prior art can be solved.

The invention discloses a kit for simultaneously detecting listeria monocytogenes and a drug-resistant gene fosX, and belongs to the technical field of bacterial molecular diagnosis. In order to solve the technical problems that in the prior art, a traditional method for detecting the listeria monocytogenes and the drug-resistant genes fosX of the listeria monocytogenes is low in efficiency and high in equipment dependence degree, the invention provides a kit for simultaneously detecting the listeria monocytogenes and the drug-resistant genes fosX of the listeria monocytogenes, and the kit comprises an EmDEA specific primer pair and an RNA probe, and a nucleic acid amplification group enzyme system and a signal amplification group enzyme system. The kit for simultaneously detecting the listeria monocytogenes and the drug-resistant gene fosX of the listeria monocytogenes, provided by the invention, has relatively strong specificity, repeatability, stability and reliability, and the sensitivity can be as low as 500 copies / mu L. The kit provided by the invention is simple in operation process, can be carried to rural sites, remote areas or any other scenes needing instant detection for detection, and has a wide application prospect.

The invention relates to the technical field of sewage treatment, in particular to a distributed sewage treatment process management and control system, which adopts a distributed architecture to replace traditional centralized management and control, breaks geographical space and scale limitations, supports flexible access of sewage treatment stations of different areas and sizes, reduces system deployment cost and complexity, and improves system deployment efficiency. All the units realize data sharing and cooperative processing through interconnection and intercommunication, remote areas or small sites can also obtain efficient management and control, balanced development of urban and rural sewage treatment is promoted, the system supports butt joint with energy-saving and consumption-reducing sewage treatment technologies such as SBR and MBBR and an ozone catalytic oxidation intelligent disinfection technology, technological parameters are collected in real time to assist in optimization management and control, and the system is suitable for large-scale popularization and application. Data support and function verification are provided for technology research and development, conversion of new technology achievements is accelerated, meanwhile, on the premise that the sewage treatment requirement is met, system operation energy consumption is reduced through an energy consumption optimization strategy, the goal of carbon emission reduction is assisted to be achieved, and green and low-carbon conversion of the sewage treatment industry is promoted.

The embodiment of the invention provides a remote area-oriented electric energy quality comprehensive treatment method and system, and the method comprises the steps: collecting the operation parameters of a power grid through a detection module; calculating an electric energy quality index based on the power grid operation parameters, carrying out standardization processing on the electric energy quality index, and constructing a state vector; inputting the state vector into energy management software based on an improved DQN algorithm model, and generating a charging and discharging power instruction corresponding to the hybrid energy storage unit; and receiving the charging and discharging power instruction through the power conversion module, and controlling the hybrid energy storage unit and the power grid to perform energy exchange so as to realize electric energy quality treatment. According to the technical scheme provided by the invention, adaptation to a complex power grid in a remote region can be realized, a multi-dimensional power quality problem can be synergistically treated, the response speed and the system safety are improved, the power quality comprehensive index and the system operation efficiency are finally improved, and a support is provided for safe, stable and efficient operation of the power grid in the remote region.

This invention discloses a primer and probe set, a kit, and their applications for detecting Staphylococcus aureus L based on real-time fluorescence MIRA technology. The primer and probe set consists of single-stranded DNA sequences 1-3. Based on the aforementioned primer and probe set, this invention establishes and optimizes a real-time fluorescence MIRA detection method for Staphylococcus aureus L. Furthermore, the optimized real-time fluorescence MIRA method is innovatively combined with a simplified nucleic acid extraction method and a portable fluorescence detection device, significantly reducing extraction and time costs while enabling rapid on-site detection of the virus, making it particularly suitable for grassroots units and remote areas. In addition, the real-time fluorescence MIRA detection method for Staphylococcus aureus L established in this invention has advantages such as high specificity, high sensitivity, and simple operation. Moreover, the detection process does not require opening the lid, effectively avoiding aerosol contamination, providing an effective technical means for the differential diagnosis and rapid detection of Staphylococcus aureus L.

The invention provides a special high-throughput satellite communication terminal for electric power, and relates to the technical field of electric power communication, and the special high-throughput satellite communication terminal comprises a baseband processing module which is used for carrying out differential encryption processing on different types of electric power data; the high-throughput satellite radio frequency module is used for suppressing sidelobe interference while realizing automatic satellite beam tracking through a beam forming algorithm during satellite communication, and calculating the optimal transmitting power through a self-adaptive power regulation algorithm; the communication transmission module is used for presetting a data priority based on a priority mapping table during data transmission and preempting satellite beam resources according to the data priority; the electric power Internet of Things protocol adaptation layer is used for realizing conversion between an electric power dedicated protocol and a satellite IP protocol, differential coding compression of electric power data and interrupted transmission in a link; and the beam optimization module is used for dynamically optimizing the beam pointing angle based on the satellite orbit parameters and the terminal geographic position. According to the scheme, the coverage degree of electric power communication in remote areas can be improved, and the safety and reliability of data transmission are improved.

The invention relates to the technical field of power transmission line self-energy-taking, and discloses a power transmission line self-energy-taking device and a state detection system, and the device comprises a housing structure, a motion structure, an electromagnetic power generation structure, and a friction power generation structure. Wherein the moving structure is composed of a permanent magnet, a spring and a fixing groove, the vertical shell and the fixing groove are connected through the spring, and a spring mass vibration system is constructed; the electromagnetic power generation structure generates power through relative movement of a permanent magnet and a coil. The friction power generation structure generates power through sliding separation of sliding electrodes on the side faces of the fixing grooves and electrodes in the side shells. The invention further discloses a state detection system, vibration energy is collected through the device and stored in an energy storage battery through an energy management circuit to supply power to a sensor detection circuit, and data are sent to an upper computer through a wireless transmission module. The power transmission line state real-time detection without external energy supply can be realized, and the problem of power supply of monitoring equipment in remote areas is solved.

The invention provides a mobile solid heat storage and storage battery coordinated island comprehensive energy system, and belongs to the technical field of electric energy supply, the system comprises a heat storage and heat exchange unit, a heat exchange fan, a thermal insulation layer, an energy storage battery, a rapid power socket, an instrument cabinet, a water circulation system, a heat exchange water pump and an inverter, and the modular and container type design is adopted; and mobile deployment and flexible expansion are realized. According to the system, electric energy is converted into heat energy for storage through the heat storage and exchange unit, time-shifting storage of the electric energy is achieved by means of the energy storage battery, independent supply and efficient complementation of electric energy and heat energy are achieved through intelligent coordination control, electric power, high-temperature hot air and hot water can be stably output, and the diversified energy utilization requirements of remote areas, emergency disaster relief and field operation island scenes are met. According to the invention, the energy self-sufficiency rate and the energy consumption safety of the island scene are obviously improved, the operation cost is reduced, and the method is green and environment-friendly and has national defense, social and economic benefits.

The invention discloses a method for constructing an effect evaluation model based on meteorological early warning service quality, and relates to the technical field of meteorological early warning service quality evaluation, and the main scheme is as follows: calculating a structural dimension index of a precipitation field by analyzing forecast precipitation intensity data and observation precipitation intensity data; performing grade evaluation on the structural dimension index through a grade division model, and analyzing forecast occurrence time data and actual occurrence time data to obtain a timeliness score; a public influence degree score is obtained through the early warning level data, the actual occurrence position data and the received data of the mobile phone users in the urban area and the remote area, the structural dimension comprehensive score, the timeliness comprehensive score and the public influence degree score are comprehensively analyzed, and a comprehensive quality score is obtained; and summarizing the assessed contents into a comprehensive assessment report, thereby solving the problems of single assessment mode, lack of comprehensive assessment and poor assessment authenticity in the prior art.

The invention relates to the technical field of wireless communication, in particular to a low-frequency special data link communication system fusing a central networking and an ad hoc network. According to the technical scheme, the system comprises a central networking communication module, an ad hoc network communication module, a special data link module, a low-frequency communication optimization module, a clock synchronization module and a fault self-healing module. Through dynamic cooperation of the central networking and the ad hoc network, low-frequency signal special optimization, industry customization of a special data link and multi-module cooperation of precise clock synchronization and efficient fault self-healing, the problems of incomplete communication coverage, easy transmission interruption, poor industry adaptability and high information security risk in a complex environment are solved; the system is large in communication coverage range, stable in operation and accurately adaptive to different industry scenes, meanwhile, the real-time performance and safety of data transmission are guaranteed, the scene requirements of emergency rescue, industrial control monitoring, remote area communication guarantee and the like are met, and the stability and reliability of communication are effectively improved.

The invention discloses a photovoltaic power station operation state monitoring management system and method, and relates to the technical field of power systems and automatic control, and the method comprises the steps that a dual-mode temperature monitoring module is combined with a ceramic packaging contact sensor and a multispectral filtering non-contact sensor, and a correction temperature value is output through adaptive weight fusion; the environment adaptive calibration unit dynamically corrects the drifting of the sensor based on a CNN-BiLSTM model; the edge computing node detects early symptoms of the hot spots in real time and uploads abnormal data preferentially; the multi-protocol gateway can automatically switch communication channels, and is matched with LZW compression and CRC32 verification to guarantee data transmission; the above modules establish cooperative interaction through an industrial Ethernet, an RS485 bus and the like, and are in bidirectional communication with a cloud management platform. The temperature monitoring precision in a severe environment is improved, the hot spot response time is shortened, the communication bottleneck in a remote area is solved, and stable operation of a power station is guaranteed.

The invention provides a photovoltaic photo-thermal collaborative system based on sand heat storage and a heat energy utilization method of the photovoltaic photo-thermal collaborative system. The system comprises a semitransparent photovoltaic battery assembly, a plate type condenser, a heat collection pipeline system, a sand heat storage unit and an auxiliary structure from top to bottom. The semitransparent photovoltaic cell assembly absorbs visible light to generate electricity, ultraviolet light and infrared light penetrate through the assembly and are focused to the heat collection pipeline system through the plate type condenser, and working media are heated and then stored in the sand heat storage unit to be used at night or in the peak load period. According to the system, the comprehensive utilization rate is increased to be larger than or equal to 85% through spectrum separation, sand heat storage cost is low, the service life is long, the structure is compact, adaptability is high, day and night energy supply can be achieved, the system is suitable for various scenes such as western deserts, remote areas and agricultural greenhouses, and the problems that an existing photovoltaic photo-thermal system is low in efficiency, weak in heat storage, high in cost and insufficient in environmental adaptability are effectively solved.

The invention discloses a complex environment-oriented body agent navigation and three-dimensional reconstruction method, and relates to the technical field of body agent navigation, and the method comprises the following steps: collecting environment data around a navigation body, using a fine-grained octree for close-range key areas (narrow slits and dead corners), adopting coarse voxel acceleration for a far area, and adopting coarse voxel acceleration for a near-range key area (narrow slits and dead corners); extracting large planes such as wall surfaces, beam columns and the like by using RANSAC (Random Sample Consensus), and constructing an environment'abstract skeleton 'for navigation reference; establishing a temporary three-dimensional space based on the point cloud of the whole body environment, dividing a plurality of detection planes in the space, performing position correction on an obstacle edge dot matrix in the detection planes, determining a movable range, and generating a safe motion path in a feasible space by applying a local planning algorithm; octree + differential coding is carried out on a local map, and only a current activity area and crisis point cloud are reserved; local full-stack deployment enables navigation to be free of dependence on remote communication, and sensing, mapping and navigation closed loop can still be completed when a link is broken.

The invention discloses a renewable energy-driven nitrogen-carbon-hydrogen coupling fixation nitrogen fertilizer preparation device and method. On-site conversion of renewable energy and zero-carbon synthesis of nitrogen fertilizers (ammonia, ammonium nitrate, ammonium bicarbonate, urea and the like) can be realized under the condition that additional energy and material input are not needed. Energy management and system energy supply are achieved by means of renewable energy source driving and a flexible control technology, and materials such as carbon dioxide, nitrogen and water are continuously obtained from the environment based on a direct air trapping technology; the green nitrogen fertilizer is synthesized by direct selective catalytic conversion of inert nitrogen, oxygen, hydrogen and other materials by using a low-temperature plasma-electro-catalysis composite conversion system and equipment. According to the invention, stable and efficient synthesis of air into the nitrogen fertilizer with high added value is realized under the driving of renewable energy sources, so that instant green fertilizer and chemical supply is provided for remote areas such as high mountains, deserts and islands and areas lacking industrial foundations, and the method has a good application prospect.

The embodiment of the invention provides a power distribution network transformer operation state monitoring and energy efficiency collaborative optimization method, which is applied to the technical field of power grid remote control and telemetering and network control systems, and is characterized in that the system synchronously acquires transformer state data through acoustics, vibration, load and other sensors, and performs feature fusion extraction by adopting deep learning; and a health reference library of the sub-load intervals is established. Through multi-dimensional difference calculation of real-time monitoring data and a health template, a health degree score is generated and state early warning is realized. An energy efficiency adaptive optimization module is innovatively introduced, an optimal load set value is solved based on a multi-objective optimization algorithm, and an optimization strategy is executed through closed-loop control. The system is suitable for various scenes such as an urban power grid, a new energy power station, an industrial environment and a remote area, realizes the conversion from fixed cycle maintenance to state-driven operation and maintenance, improves the operation reliability, the service life and the operation and maintenance efficiency of the transformer, and provides a solution for the full-life-cycle management of power equipment.

The invention discloses a light storage and charging integrated unmanned aerial vehicle nest and a control method thereof. The invention relates to the technical field of unmanned aerial vehicles, and solves the problems of low working efficiency and limited deployment caused by single energy supply mode and insufficient environmental adaptability of an existing unmanned aerial vehicle nest. The light storage and charging integrated unmanned aerial vehicle nest comprises an environment sensing system, an automatic cabin door system, a take-off and landing system, a control system, a photovoltaic power generation system, an energy storage system and a charging system. The charging system comprises an automatic charging module and an uninterruptible power supply. The photovoltaic power generation system is utilized to provide green electric energy for the unmanned aerial vehicle nest by integrating the light storage and charging integrated energy unit, so that the dependence on the traditional mains supply is reduced, and the carbon emission is reduced; through cooperative control of the environment sensing system, the automatic cabin door and the take-off and landing system, safe take-off and landing and energy supply of the unmanned aerial vehicle in a complex environment are achieved, and the deployment problem in a remote area or a scene with insufficient power grid coverage is solved.

The embodiment of the invention provides a water meter upgrading method and system, and the method comprises the steps: Bluetooth transmitting equipment broadcasts an upgrading request command to inform Bluetooth receiving equipment to prepare for upgrading; the Bluetooth receiving equipment determines an equipment mode as an upgrading mode based on the upgrading request command; the Bluetooth sending device generates target format differential data based on the original version data and the upgraded version data; generating an upgrade package based on the target format differential data; sending an upgrade package to the Bluetooth receiving device through a broadcast channel; the Bluetooth receiving device receives the upgrade package through the broadcast channel, so that one Bluetooth sending device can control one or more Bluetooth receiving devices to achieve FOTA upgrade, especially in a remote area without a base station or with poor signals, the FOTA upgrade of the multiple Bluetooth receiving devices can be achieved without specially enhancing signals or establishing a base station, and the FOTA upgrade efficiency is improved. And time resources consumed by upgrading the Bluetooth receiving equipment are reduced.

The invention discloses an intelligent logistics system based on a tilt-rotor unmanned aerial vehicle, and relates to the technical field of tilt-rotor unmanned aerial vehicle control, the system comprises an unmanned aerial vehicle end, a client and a cloud control server, and the unmanned aerial vehicle end is internally provided with an information acquisition unit and a real-time obstacle avoidance unit; an information receiving and transmitting module, a path generation module and a cluster cooperation module are arranged in the cloud monitoring server, through mutual cooperation of all the modules and units, an intelligent logistics system from the cloud to the airborne and from global planning to local obstacle avoidance is formed, and efficient, safe and stable unmanned aerial vehicle distribution can be achieved in congested cities and remote areas.

The invention discloses a small surveying and mapping blind area double-frequency synthetic aperture underwater acoustic imaging system and method, and the system comprises a double-frequency acoustic array, a multi-channel transmitting and receiving machine, a double-frequency synthetic aperture imaging signal processing module, a double-frequency image fusion imaging module, and a high-frequency acoustic array and a low-frequency acoustic array for synchronous transmission. The high-frequency acoustic array transmits and receives high-frequency chirp signals to detect a short-range to medium-range area of a target area, the low-frequency acoustic array transmits and receives low-frequency chirp signals to detect a medium-range to remote area of the target area, and the beam opening angle of the high-frequency acoustic array is larger than that of the low-frequency acoustic array; and an overlapping region exists between the detection regions of the high-frequency acoustic array and the low-frequency acoustic array. According to the invention, the dual-frequency wave beams emitted by the dual-frequency acoustic array are used for cooperative detection to cover a larger surveying and mapping range, and the structural parameter optimization of the acoustic array is combined, so that the blind area is controlled within the minimum range acceptable by engineering on the premise of ensuring the remote high resolution, and the balance between the detection efficiency and the technical feasibility is realized.

The invention mainly relates to the technical field of Internet of Things, and provides a control device, system and method based on Wi-Fi HaLow and LTE redundancy mechanisms in order to ensure that a main gateway fails, monitoring devices in a region can automatically switch gateway nodes and ensure normal uploading of monitoring data. The main control module starts the camera module to shoot monitoring data and uploads the data through Wi-Fi HaLow, when data transmission based on the Wi-Fi HaLow is interrupted, any node in the Mesh network is converted into a gateway through the pluggable LTE module, the monitoring data is retransmitted, it can be ensured that when a main gateway breaks down, monitoring equipment in a Halow Mesh network area can automatically switch the gateway node, and the monitoring efficiency is improved. Normal uploading of monitoring data is ensured, and the system is especially suitable for monitoring remote areas with poor signal conditions.