292results about How to "Flexible deployment" patented technology

The invention provides a multi-agent cooperation system, which comprises a multi-agent cooperation engine module, a task decomposition and distribution module and a tool calling normal form module, and is characterized in that the task decomposition and distribution module is used for decomposing tasks and distributing decomposed sub-tasks to agents; the multi-agent cooperation engine module is used for managing cooperation and communication between agents; and the tool calling module enables the intelligent agent to dynamically call different tools. According to the multi-agent collaboration system, the collaboration efficiency among the agents, the flexibility of task decomposition, the adaptivity of tool calling and the intelligent level of user interaction are remarkably improved, and remarkable technical advantages and effects are shown in complex task processing and dynamic environment processing.

The invention provides a satellite-borne computing center system, in particular to a satellite-borne computing center system with high performance and high computing power, which comprises a data interaction module, a task management module, an artificial intelligence AI module M1 and an artificial intelligence AI module M2. The data interaction module is an input and output interface for high-speed data processing; the task management module serves as a task scheduling center and distributes calculation tasks to the AI module; the artificial intelligence AI module M1 and the artificial intelligence AI module M2 adopt domestic and imported AI chips, and the artificial intelligence AI module can work in an RC mode and an EP mode, provides computing power guarantee for satellite-borne high-computing-power computing tasks, and has the characteristics of flexible expansion and agile deployment. All the modules are interconnected through a serial port management plane, a gigabit network control plane, a PCIE data plane and a power supply plane, and control and data interaction between processors are achieved.

The invention relates to the technical field of power system fault detection, and discloses a 10kV cable single-phase earth fault detection method based on an adaptive algorithm, and the method comprises the following steps: S1, employing a voltage collector and a current collector to collect the power frequency and transient signals of a switching station integrated intelligent terminal strip; s2, filtering and de-noising the collected signals through a self-adaptive digital signal processing algorithm; s3, adaptively determining a single-phase earth fault signal component, and identifying the most significant frequency band; s4, extracting features of the fault signal by using a multi-band multi-criterion adaptive algorithm; and S5, based on the extracted features, selecting the most significant criterion for single-phase earth fault detection. Through an adaptive algorithm and a deep learning model, the detection and recognition precision of a complex single-phase earth fault is improved, real-time intelligent processing is realized through an integrated monitoring module, misjudgment is reduced, the operation and maintenance efficiency is improved, the system adapts to multi-scene application, and the intelligentization and power supply reliability of the system are enhanced.

The invention relates to an electric power open platform system based on digitization capability. The system comprises an achievement acquisition layer, a local service layer and a two-stage sharing layer. The achievement collection layer is responsible for collecting and integrating digital achievements of a data medium station, a technology medium station, a business medium station, an Internet of Things platform, a cloud platform and a business system of the electric power company; the local service layer manages the data and capability obtained from the achievement acquisition layer in a centralized manner, and provides customized services for the requirements of local electric power companies; a Spring Boot micro-service framework is used to realize decoupling and independent deployment of services, and Kubernetes is used to carry out container arrangement, management service expansion, load balancing and automatic recovery; the two-level sharing layer realizes sharing of achievements between a local electric power formula and a head office. According to the invention, the security can be guaranteed, the performance can be improved, and a flexible and extensible service and achievement sharing mechanism can be provided at the same time.

The embodiment of the invention provides a base station antenna and a base station. The base station antenna comprises a first antenna array, a metasurface lens and a second antenna array, the metasurface lens is located between the first radiator of the radiation unit of the first antenna array and the second antenna array, and is used for reflecting a radiation signal of the first antenna array and carrying out wavefront phase regulation and transmission on the radiation signal of the second antenna array. Therefore, the radiation signal of the second antenna array penetrating through the metasurface lens is approximately focused into a plane wave. The base station comprises the base station antenna. According to the scheme, a common-caliber array antenna can be realized, the defects of mutual shielding of antennas and mutual interference of antenna performance are avoided, the problem of structural interference can be avoided, and the antenna gain can be improved.

The invention discloses an LLM data acquisition processing method and system based on an automatic capture technology, and relates to the technical field of artificial intelligence, and the method comprises the steps: distributing a data acquisition task for each crawling node in a distributed node architecture; the crawling node accesses different data sources based on the data acquisition task to obtain acquired data; after the crawling node completes a round of data acquisition, task allocation is adjusted based on the acquisition progress and the acquisition efficiency; performing first data processing on the acquired data, and performing data quality evaluation, invalid information removal and text correction on the acquired data after the first data processing; according to the method and the device, the collected data which is from different data sources and is subjected to the first data processing are integrated to obtain the integrated data, and the integrated data is subjected to the second data processing to obtain the LLM data, so that the problem that the data of various data sources for LLM cannot be efficiently collected and processed with high quality in the prior art is solved.

The invention belongs to the technical field of marine scientific research and environmental protection, and relates to a long-term observation device for organisms at the bottom of deep sea, which comprises a mounting frame, an observation cylinder, a suction pump, a control cabin, an energy storage assembly, a camera assembly and a light-emitting assembly. A hoisting connection position is arranged on the mounting frame and is matched with a submersible manipulator; the opening side of the observation cylinder is provided with an outlet of the suction pump, a camera shooting assembly and a light-emitting assembly; the energy storage assembly is provided with a control switch and is matched with the submersible manipulator. The underwater starting and stopping device is simple in structure and low in cost, accurate underwater putting and recycling of the submersible can be achieved through the matched lifting connecting position, at least part of functions of the underwater starting and stopping device of the manipulator of the submersible are achieved in combination with the control switch, an operator can autonomously select the switch according to task requirements, and laying of the underwater starting and stopping device of the manipulator of the submersible is more flexible; in-situ continuous and clear benthic organism stress reaction recording is realized, and effective support is provided for deep-sea mining environment influence assessment.

The invention discloses an intelligent string type container energy storage system. The system is composed of a battery system, a battery management system, a heat management system, a fire extinguishing system, a PCS system and an energy storage controller which are integrally mounted and fixed in a container body. According to the energy storage system, one-cluster-one-management is achieved through an energy storage system string-type framework, the battery clusters are connected with the PCS in series and then connected with the PCS in parallel, the series-parallel mismatching problem of the system is solved, all battery packs achieve 100% discharging, one-pack-one-optimization of the system is achieved, the battery packs are balanced and consistent, maximum charging and discharging of the single battery packs are achieved, one battery pack optimizer is integrated in each battery pack, and the energy storage efficiency is improved. The optimizers are connected in parallel with the battery cells, and the optimizers in the battery cluster are directly connected in series, so that the service life of the battery cells in the life cycle is prolonged by 10%, and the available capacity is improved; the energy storage system is high in reliability, convenient to maintain and higher in system safety, each battery cluster independently controls charging and discharging, the situation that the discharge capacity is affected by bias current is avoided, meanwhile, single-cluster fault isolation is achieved, fault diffusion and system whole disabling are avoided, and the safety performance is further improved.

The invention discloses a multichannel power supply switching electric quantity acquisition system, which belongs to the technical field of standby power supply switching and comprises a storage battery, a mains supply end, a first intelligent switcher and a second intelligent switcher. The device further comprises a solar panel, the output end of the solar panel is electrically connected with a solar controller, the solar controller is electrically connected to the first input end of the first intelligent switcher, and the output end of the first intelligent switcher is electrically connected to the storage battery. The output end of the storage battery is electrically connected to the first input end of the second intelligent switcher, and the output end of the second intelligent switcher is electrically connected to the terminal through the main control board; the first output end of the mains supply end is electrically connected to the second input end of the second intelligent switcher through an inverter. The system has the advantage of seamlessly switching the commercial power and the storage battery.

The invention relates to the technical field of video processing, and discloses a livestock three-dimensional behavior detection method, which comprises the following steps: S1, establishing a livestock three-dimensional behavior detection system for shooting livestock behavior videos; s2, constructing a livestock three-dimensional behavior real-time detection model, namely an RT-DETRv3 model; and S3, according to a livestock shot video acquired by the behavior detection system, outputting different behaviors of the livestock by using the real-time detection model for classification and analysis, and generating a visual livestock behavior statistical report. According to the invention, through combination of the multi-view camera system and the deep learning algorithm, especially integration of the 3D convolutional neural network and the RT-DETRv3Transformer, three-dimensional behaviors of livestock can be captured in real time. Compared with the prior art which only depends on two-dimensional monitoring of a single visual angle, the method can achieve the precise recognition of the complex three-dimensional postures of standing, lying, walking and the like of the livestock, and greatly improves the detection accuracy and precision. In addition, attitude key point detection and a multi-target supervision mechanism are used.

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 invention discloses a movable transformer with an anti-explosion protection mechanism, and belongs to the technical field of transformers, and the movable transformer with the anti-explosion protection mechanism comprises a transformer, a heat dissipation net groove, two fixing frames, two sponge pieces, a heat dissipation mechanism, a water storage mechanism, two groups of liquid spraying mechanisms and a linkage mechanism. By arranging the heat dissipation net groove, the two sponge pieces, the heat dissipation mechanism, the water storage mechanism, the two liquid spraying mechanisms and the linkage mechanism, through operation of the heat dissipation mechanism, the flowing speed of air in the transformer and air outside the transformer can be increased, and the temperature in the transformer is effectively reduced; and water in the water storage mechanism is sprayed to the surface of the sponge sheet through the liquid spraying mechanism, the heat dissipation effect is further enhanced by utilizing the principle that heat is taken away through water evaporation, stable operation of the transformer is guaranteed, and the service life of the transformer is prolonged. And the sponge sheet is in contact with the surface of the transformer, so that a certain heat insulation effect is achieved, and the direct heating area of the transformer is reduced.

The invention provides a method and a device for deploying a perception service, and a storage medium. The method comprises the following steps: a first SF receives a first perception request sent by a control plane network element; and determining one or more second SF based on the first perception request, and sending a perception data processing rule to the one or more second SF.

The invention relates to a high-efficiency face deep counterfeiting detection method based on multi-frequency feature aggregation, belongs to the technical field of computer vision and pattern recognition, focuses on detection of a face counterfeiting image, and provides a high-efficiency face deep counterfeiting detection method based on multi-scale spatial feature and multi-frequency domain feature fusion. The method aims at improving the robustness and generalization ability of a detection model under the conditions of coping with different counterfeiting means, noise and frequency distortion, and is suitable for various deep counterfeiting detection application scenes. The multi-context and frequency aggregation network provided by the invention aims to realize efficient and robust deep counterfeiting detection through innovative design of a multi-core aggregator and a multi-frequency aggregator module; the defects of an existing deep forgery detection technology in the aspects of space and frequency feature collaborative modeling, multi-scale feature extraction, high-frequency detail processing and cross-domain generalization ability are overcome.

The invention relates to the technical field of environment management, and discloses an eco-friendly urban environment design implementation method, which comprises the following steps: S1, constructing a distributed clean energy system: realizing local energy production, storage and allocation through micro-grid and regional collaboration; s2, establishing an environment monitoring and response system: acquiring data through a sensor network, and implementing hierarchical response; s3, resource demand prediction and scheduling are realized: resource demands are predicted by using a dynamic model, and multi-level scheduling optimization is carried out; s4, establishing an ecological building and community treatment system: intelligently regulating and controlling the temperature and humidity of the building, and constructing a community water resource circulation system; and S5, designing a public participation incentive platform: providing an incentive mechanism to encourage environmental protection behaviors. Through the distributed clean energy management system, localized production, storage and flexible allocation of energy are realized, and meanwhile, the energy is intelligently scheduled by adopting an optimization algorithm, so that the supply and demand balance of the energy is realized, and the utilization rate of the clean energy is improved.

The invention discloses a flexible diagnosis method and system for mechanical characteristics of a switch based on an intelligent oscillograph, and relates to the technical field of relay protection of a power system, and the method comprises the steps: carrying out the transient data exchange of general-format waveform data based on an acquisition unit of the intelligent oscillograph; extracting parameter information of an analog quantity channel, a switching value channel and substation primary equipment or intervals, constructing a switch mechanical characteristic diagnosis equipment channel parameter model, and further constructing a switch mechanical characteristic diagnosis threshold parameter model; integrating the switch mechanical characteristic diagnosis equipment channel parameter model and the switch mechanical characteristic diagnosis threshold parameter model, adding station information of the transformer substation, and constructing a transformer substation switch mechanical characteristic diagnosis parameter model; and performing switch mechanical characteristic diagnosis on the fault waveform data of the transformer substation based on the transformer substation switch mechanical characteristic diagnosis parameter model. The technical problems that in the prior art, working efficiency is low, and the requirement for rapid and flexible deployment is difficult to meet are solved.

The invention discloses an LDoS attack detection method based on an MF-LSTM in an SDN environment, and belongs to the field of network security. Normal and LDoS attack traffic data are generated in the SDN environment through a D-ITG network traffic generator and a Python script, real-time sampling is performed by using a Ryu controller, and a training and test data set is formed; original traffic data is cut into a plurality of time slices, and each slice is further subdivided into data slices for feature calculation; extracting 11 key features to construct a feature matrix for describing a network state; training an LSTM model by using the feature matrix, and optimizing model performance by using ReLU as an activation function and cross entropy as a loss function; and deploying the trained model in a Ryu controller, monitoring network traffic in real time, and carrying out LDoS attack detection. According to the method, the centralized control advantage of the SDN and the time sequence data processing capability of the LSTM network are fully utilized, and the efficient and accurate detection of the LDoS attack is realized by comprehensively analyzing the multi-dimensional characteristics of the network flow.

The invention relates to the technical field of data processing, and discloses a digital scene driven intelligent public service platform construction method and device and a medium. The method comprises the following steps: performing four-dimensional mapping on a business scene to obtain a scene element list; performing value flow analysis and capability decomposition on the scene element list to obtain a scene value flow graph and a scene capability map; converting the scene value flow graph and the scene capability map into a four-layer architecture model through hierarchical processing; carrying out asset classification on the four-layer architecture model to obtain information type and design type asset models; performing componentization processing on the asset model to form three types of component libraries; and integrating the component library into an intelligent public service platform through micro-service integration. The problems of multi-dimensional mapping of digital scene elements and associated tracing of scene assets are solved, so that the efficiency of constructing an intelligent public service platform driven by a digital scene is improved.

The invention provides a wind-light nuclear hydrogen storage integrated system applied to a computing power center and an operation method, and belongs to the technical field of electric power engineering. The wind-light nuclear hydrogen storage integrated system comprises a wind power generation system and a photovoltaic power generation system; the small nuclear reactor system serves as a flexible power supply, the installation capacity of the small nuclear reactor system is configured according to 100% of the total power load of the computing power center, and the small nuclear reactor system is used for meeting the power demands of a power system and an IT system of the computing power center; the hydrogen fuel cell power generation system serves as a main power supply of an IT system of the computing power center, and the installation capacity of the hydrogen fuel cell power generation system is configured according to 100% of the total electrical load of the computing power center; and the energy storage power station is used as a standby power supply, and the capacity of the energy storage power station is configured to supply power to the computing power center for continuous 15 minutes or is configured according to 20% of wind power and photovoltaic capacity. Through efficient integration and utilization of various clean energy, the energy self-sufficiency rate and the power supply stability of the computing power center are improved, and stable, reliable and environment-friendly power supply is provided for the computing power center.

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.

The utility model relates to a kind of cap type pier block tool for ship sub-assembly construction, including steel structure portable cap and concrete cement pier block, steel structure portable cap is detachably sleeved at the top of concrete cement pier block;Steel structure portable cap includes a roof, and the edge below of the four edges of roof is respectively welded with side edge reinforcing plate, and form the groove of bottom surface opening;Concrete cement pier block includes pier block body, and two dumper insertion holes are set in the lower part of its opposite sides, and pier block dumper insertion hole penetrates concrete cement pier block.The utility model effectively reduces the cost of all-steel pier block, solves the problem that pure concrete pier block is easily damaged and cannot be fixed linear section, has the advantages of low cost, good durability, strong adaptability, flexible transfer and the like, significantly improves the support safety and economy of ship sub-assembly construction.

The utility model discloses a near-earth satellite communication device based on a reconfigurable intelligent surface. The near-earth satellite communication device comprises a satellite transmit-receive device and an RIS device. The satellite transceiving device comprises a first main control module, and a first power supply module, a first Bluetooth transceiving module and a satellite antenna which are connected with the first main control module; the RIS device comprises an RIS control board and an RIS antenna board connected with the RIS control board; the RIS control board comprises a second main control module, and a second power supply module, a second Bluetooth transceiver module, a GPS module and an attitude calibration unit which are connected with the second main control module; the RIS antenna board is provided with an antenna array composed of a plurality of patch antenna units. By introducing the intelligent reconfigurable metasurface, the system can sense and adapt to a continuously changing communication environment in real time and automatically adjust the configuration of the metasurface, so that the efficiency and stability of signal transmission are improved; the system realizes global coverage through a satellite network, is especially suitable for places such as remote areas, mountainous areas or islands, and the metasurface communication device does not depend on complex infrastructures and can be more flexibly deployed in different areas.

The invention relates to the technical field of wireless communication, in particular to a 5G millimeter wave small base station three-sector cascade networking system, which comprises a switch and three 5G millimeter wave small base stations, and is characterized in that each base station comprises an external optical fiber port and a cascade optical fiber port; each base station covers a range of 120 degrees; the switch is sequentially connected with the three base stations through optical fibers; when the cascade optical fiber port of any base station receives the uplink flow, the base station forwards the uplink flow to the switch or other base stations through the external optical fiber port; when an external optical fiber port of any base station receives downlink flow, if the destination address of the message is the base station, the message is uploaded to an application layer for processing; and if the message destination address of the downlink flow is not the base station, forwarding the message destination address to the base station through a cascade optical fiber port. According to the technical scheme, the three 5G millimeter wave small base stations are used for cascading networking, the three-sector coverage problem is solved, the structure of the small base stations does not need to be modified, additional wiring cost does not need to be increased, deployment is flexible, and the deployment cost is low.

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 present invention relates to a multi-core brain-like processor and a working method based on an instruction set, belonging to the field of electronic information technology. The multi-core brain-like processor of the present invention includes a 4-directional LVDS interface and a data proxy unit, and a 2-D mesh chip network composed of mn routers, each router is connected to a cortical column core, a cortical column core is composed of a scheduling core and a neuron cluster, and a neuron cluster includes multiple neuron cores. The present invention can accelerate the search of sparse weights, reduce the power consumption of the processor operation in an event-driven computing mode, and can support a variety of neuron models, synaptic models and on-chip learning algorithms in the form of instructions, which can meet the needs of the model that is constantly evolving in the future, help the flexible deployment of brain simulation and brain-like pulse neural network models, and support brain-like intelligent high-energy-efficiency accelerated computing.

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.

The present application relates to the technical field of machine vision defect detection, and more specifically, to a plastic packaging bag surface defect detection method, which adopts orthogonal polarization illumination and a split focal plane polarization camera to collect multi-direction original intensity images, calculates polarization degree, polarization angle and orthogonal polarization intensity images, and superimposes to form three-channel polarization feature maps; then inputs a pre-trained polarization feature separation detection network to realize high-precision identification and positioning of defects such as bubbles, scratches, holes and dirt. In the online detection stage, simplified schemes such as only orthogonal intensity single channel, differential intensity plus total intensity three channels and fast positioning of the region of interest can also be used. The present application can simultaneously solve the technical problems of low contrast of transparent material defects and high false detection rate of printed patterns and texture backgrounds, meet the real-time detection needs of high-speed production lines, and has limited increase in hardware cost, with extremely high industrial practicality.

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.