918results about How to "Reduce occupancy" patented technology

The invention relates to the technical field of electrical digital data processing, and discloses a lightweight-based multi-modal data enhancement method, which comprises the following steps: acquiring a multi-modal feature tensor; extracting a vector orthogonal projection scalar and determining the novelty; updating the global covariance matrix when the novelty is greater than a redundancy threshold, and maintaining the global covariance matrix in a register state when the novelty is not greater than the redundancy threshold; extracting a main diagonal variance component to determine a differential modulation coefficient; calculating a second-order moment manifold projection operator according to the global covariance matrix, and calibrating the operator by using a differential modulation coefficient; the calibrated operator is used for carrying out orthogonal projection on random noise to generate a structured disturbance vector, the structured disturbance vector is superposed to a multi-modal feature tensor to output enhanced features, a novelty judgment mechanism is used for restraining statistical deviation caused by steady-state redundant data, computing resource occupation is reduced, and it is ensured that semantic alignment between modals is maintained in enhanced feature distribution.

The utility model discloses a grading screening type machine-made sand processing device which comprises a working table, a bottom cover, a top cover and a crushing and grading screening synchronizing mechanism, the bottom cover is arranged at the top end of the working table, and a plurality of coaxially-arranged circular-truncated-cone-shaped supporting cylinders are arranged at the upper end, where the inner side of the bottom cover is located, of the working table; the synchronizing mechanism comprises an inverted circular-truncated-cone-shaped shell, the shell is coaxially arranged on the inner side of the supporting cylinder, and the shell is provided with a crushing unit; the crushing unit is connected with the bottom cover through the top cover, the outer wall of the shell is divided into a plurality of filtering units through a first annular framework from bottom to top, the mesh number of the filtering units is sequentially reduced from bottom to top, and a sealing plate is arranged at the bottom end of the shell; the sealing plate is rotationally connected with the top end of the workbench through a driving motor, and a plurality of annular grading filter screens are coaxially connected to the periphery of the shell from bottom to top. According to the device, the working efficiency of grading screening is improved, the production cost is saved, the occupancy rate of a construction site is reduced, the yield of machine-made sand processing is improved, and particle size mixing of finished machine-made sand particles is avoided.

The invention relates to a hardware routing table look-up method based on segmented unified storage. The method comprises the following steps: firstly, acquiring an IPv4 / IPv6 routing prefix, dividing the IPv4 / IPv6 routing prefix into 1-4 address fields according to 32 bits, allocating a unique forward and backward segment identifier for each field, constructing table entries containing the segment identifiers, 32-bit segment data and a next hop, and uniformly storing the table entries into the same TCAM. During table lookup, segmenting an address to be looked up according to the same rule, querying the TCAM from a first segment by taking segment data as a key, and recording a backward segment identifier and a next hop after hit; and if the backward segment identifier is invalid, directly returning to the corresponding next hop, and if the backward segment identifier is valid, continuing query by taking the identifier and the next segment of data as a joint key. And when the table item is not hit or the identification verification fails, selecting the table item with the longest prefix and the valid next hop in the matched section, and returning to the next hop. According to the invention, IPv4 / IPv6 routing table entries can be uniformly stored, the TCAM space utilization rate is improved, and meanwhile, the hardware table look-up efficiency is guaranteed.

The invention provides a ground insulation resistance detection circuit, a detection method and a product, which are applied to a detection scene of ground insulation resistance of a direct current side of a non-isolated high-voltage energy storage converter. According to the ground insulation impedance detection circuit provided by the embodiment of the invention, a complex isolation circuit in an isolation type scheme is not needed, an additional bridge arm resistor in a non-isolation type scheme is also avoided, the detection circuit is constructed through a small number of resistors, switches and voltage acquisition modules, the number of devices and the occupation of PCB space are reduced, the design and manufacturing cost can be effectively reduced, and the detection circuit is suitable for large-scale popularization and application. And the compact layout requirement of the non-isolated high-voltage energy storage converter is met. On the basis, the embodiment of the invention further provides a ground insulation impedance detection method, the voltage acquisition module stably collects the first voltage and the second voltage through on-off of the switch, whether the risk of insulation failure exists or not is judged, the situation of sampling signal distortion in a non-isolation scheme can be reduced, and the detection precision is effectively improved.

The invention relates to a multi-agent cooperation-based language model reasoning resource scheduling method and system, and the method achieves the intelligent simulation of multi-view iterative thinking in a complex reasoning task through the construction of a multi-agent system which is clear in division of labor and is provided with a special knowledge base. View limitation and decision deviation of a single model in long-sequence and multi-step reasoning are effectively overcome; depending on the fusion of the general capability of the large language model and the task special knowledge base, the professionality and accuracy of the reasoning result are improved. Meanwhile, the problems of resource waste, redundant calculation and unstable convergence caused by cognitive overload in the cooperation process are solved by combining multi-round dynamic cooperation with a convergence mechanism of cognitive load perception and a dynamic token number limitation and low-confidence branch pruning strategy; therefore, on the premise that the reasoning quality is guaranteed, the utilization efficiency of computing resources is remarkably optimized, peak value occupation is reduced, the overall reasoning time delay is shortened, and reliable technical support is provided for efficient and stable deployment of a large language model in a complex task.

The invention discloses an operating system IO processing method supporting random IO merging, an operating system and a storage system, and belongs to the field of computer operating systems. The method comprises the steps that in a user mode, only one parameter copy is reserved for the same parameters of a plurality of random IO requests and recorded in a shared structure A, respectively recording different parameters of each random IO request into the shared structure body B to obtain a pseudo sequence request; the pseudo-sequence requests are issued to a system kernel, corresponding operations are executed on the pseudo-sequence requests in all layers of the system kernel in sequence, the batch operations are only executed once, and the non-batch operations are executed once for all the random IO requests respectively; the batch operation and the non-batch operation are operations executed for parameters in the shared structure body A and the shared structure body B respectively; and splitting the pseudo sequence request into random IO requests in an equipment driving layer of the kernel system, generating a corresponding equipment command, and submitting the equipment command to storage equipment. According to the invention, kernel overhead under the condition of high throughput can be relieved, so that the throughput is improved.

The invention relates to the technical field of information retrieval, in particular to a large-scale semantic retrieval optimization method based on deep learning, which comprises the following steps: acquiring to-be-retrieved text data, and converting the to-be-retrieved text data into semantic vector representation through a deep learning model; carrying out topological structure analysis on the semantic vector representation to obtain topological characteristic information of a semantic space; on the basis of the topological characteristic information, a topological perception hierarchical navigable small-world graph index with a multi-layer structure is constructed, and each layer comprises a node set and a connection relation thereof; dynamically optimizing and adjusting the topology-aware hierarchical navigable small-world graph index according to an actual query mode and system performance feedback; and receiving a query request, converting the query request into a query vector, executing multi-layer navigation search in the topology-aware hierarchical navigable small-world graph index, and returning a retrieval result related to the semantics of the query vector.

The invention belongs to the technical field of computer software and data processing, and provides a differential upgrading method for a compressed file, which is divided into a differential stage and a reduction stage: the differential stage: decompressing an original compressed package of a starting version and an original compressed package of a target version; unifying and standardizing file permissions for the two decompressed folders, and modifying, accessing and changing timestamps; re-compressing to generate a first new compressed file and a second new compressed file with byte-level certainty; generating a first difference file based on the difference between the standardized directory structure and the content; comparing the second new compressed file with the original compressed file of the target version, performing lossless analysis on the ZIP metadata, and performing structured modeling on difference information to generate a second difference file; in the reduction stage, standardization, first differential reduction, recompression and second differential driven metadata accurate reconstruction are sequentially executed, and a result completely consistent with the byte level of the original compressed file of the target version is output. According to the method, the differential compression ratio and the restoration fidelity can be improved.

The invention discloses a shift change information intelligent complementation and error early warning system based on a large language model, which belongs to the technical field of medical information processing and comprises a terminal acquisition module, an intelligent distribution complementation module and an early warning control module. Structure and semantic fingerprints are generated for the data table, a shift exchange asset meta model is constructed through fusion similarity clustering merging, and a semantic enhancement model is generated in combination with medical shift exchange specifications to complete information field completion; the intelligent distribution and completion module configures an optimal path with the minimum comprehensive overhead for the acquisition module by relying on a regional dynamic shift information network formed by double sub-networks; the early warning control module is combined with a large language model semantic analysis and rule engine, monitors an acquisition track and identifies information abnormity to execute error early warning, and an early warning result is fed back to the intelligent distribution complementation module, so that dynamic adjustment of an optimal path is realized, and the integrity, accuracy and acquisition efficiency of medical shift information are improved.

The invention relates to the technical field of electric power, in particular to a power supply zero-sensing switching method and system based on phase real-time tracking, and the method comprises the following steps: collecting the communication connection state of each inverter node in a micro-grid group, constructing a communication topology model of the micro-grid group, and analyzing a sparse communication connection relationship among the nodes in the communication topology model, and generating a Laplacian matrix reflecting node connectivity according to the sparse communication connection relationship. According to the method, the system state can be comprehensively evaluated from the two dimensions of external alignment precision and internal stability, and misjudgment caused by a single index is avoided. Dual errors are input into a switching stability evaluation model to calculate a stability index, and a switching instruction is generated only when the index exceeds a grid-connected permission threshold value, so that quantitative decision and strict control of a grid-connected opportunity are realized, and the micro-grid and a main grid are highly synchronous in phase and frequency at the moment that a circuit breaker is closed; and transient impact and circulation at the switching-on moment are eliminated.

This utility model belongs to the field of electrical equipment technology, and in particular to a fixed bracket for electrical terminal equipment. It includes a terminal equipment fixing plate, with a wall-crossing support assembly detachably connected to one side of the fixing plate. The wall-crossing support assembly includes two external wall support frames, two internal extension support rods, and two suspension cables. The two external wall support frames are spaced apart on one side of the terminal equipment fixing plate, and the two internal extension support rods are respectively fixedly connected to one side of the two external wall support frames to provide suspended support for the terminal equipment fixing plate. The external support structure, consisting of the external wall support frames, internal extension support rods, and suspension cables, avoids the wall structure from supporting and installing the electrical terminal equipment, improving the stability of the electrical terminal equipment installed on low-strength building walls.

The application discloses a video processing method, device, electronic equipment, storage medium and program product. The video processing method comprises: in the decoding stage, reading video frames in a to-be-processed video frame by frame, decoding a video frame to obtain a frame data in an original format after reading each video frame, and transmitting the frame data in the original format to a conversion stage; in the conversion stage, converting the frame data in the original format into frame data in a target format after each time, transmitting the frame data in the target format to an encoding stage; in the encoding stage, encoding the frame data in the target format to obtain semantic representation data, and transmitting at least one frame of semantic representation data to an inference stage; and in the inference stage, inputting at least one frame of semantic representation data to a multi-modal large model for inference to obtain an inference result after obtaining at least one frame of semantic representation data. The application can reduce the occupation of a storage area, reduce processing delay, and improve resource utilization.

The invention relates to an intelligent scheduling system and method for security and protection video streams of an intelligent television. The intelligent scheduling system comprises a user, an Android TV client (TV client for short), a Web signaling server, a Relay proxy server and a camera. The user interacts with the TV client through an input device of the remote controller and initiates a watching instruction; the TV client is used for receiving a user instruction, performing signaling interaction with the Web signaling server, and establishing video stream connection with the camera or the Relay proxy server; the Web signaling server is used as a control center of the system and is used for receiving a request of the client, carrying out intelligent scheduling decision making and issuing a control instruction to the downstream camera and the client; the Relay proxy server serves as a video stream transfer node and is used for forwarding video stream data when P2P direct connection is unavailable; and the camera is used for collecting a video stream and pushing the video stream to the TV client or the Relay proxy server according to an instruction of the Web signaling server.

This invention provides a heterogeneous architecture-based system and method for accelerating large language model inference, aiming to address the limitations of existing acceleration solutions in terms of cost, power consumption, storage capacity, and collaborative efficiency in meeting the deployment requirements of ultra-large-scale MoE models. The system primarily comprises a CPU, an FPGA accelerator card, and a high-speed communication interface. This method, targeting large language models with a hybrid expert architecture, analyzes the computational characteristics and storage requirements of different modules. It deploys computationally intensive attention calculations and shared expert calculations with relatively fixed parameter sizes on the FPGA accelerator card; while storing routing expert weights with large parameter sizes, sparse access, and strong data dependencies in the CPU memory, which then performs routing decisions and routing expert calculations. This invention effectively overcomes the storage capacity limitations of programmable logic accelerator cards, supports the deployment of ultra-large-scale sparse parameter models, and significantly reduces system cost and power consumption, improving the overall energy efficiency and practicality of heterogeneous collaborative inference.

The utility model discloses a kind of connector wrench structure, including wrench body, the length direction one end of wrench body is provided with first disassembly component, the thickness direction one end of wrench body is provided with second disassembly component, the first disassembly component and the second disassembly component are used to disassemble the buckle of connector;The first disassembly component and the second disassembly component all include two protrusions of symmetrical interval arrangement, the end surface of wrench body is outward convex to form the protrusion;The central portion of wrench body is provided with clamping hole, the shape cooperation of clamping hole and connector outer wall;The length direction of wrench body is provided with pincer portion on the other end, the pincer portion is provided with opening groove, and the shape cooperation of opening groove and connector end portion is matched.The utility model can solve the problem that narrow disassembly space requirement cannot be met by optimizing wrench structure, and help to improve the convenience of disassembling connector.

Embodiments of the present application disclose a task execution method and device of a heterogeneous system, computer equipment and a storage medium, and relate to the technical field of computers. The method is used in an edge node in a heterogeneous system, the heterogeneous system is composed of a center node and edge nodes, and each edge node is used to implement the same function. The method comprises: receiving a target task issued by the center node, the target task being used to instruct the edge node to implement a process of a target function, and different edge nodes corresponding to the same target task; converting the target task into a target executable file according to a self-architecture system, the target executable file being composed of executable instructions, and different architecture systems corresponding to different executable files; and running the target executable file to implement the target function. The step of converting the target task into the target executable file is allocated to the edge node, which reduces the amount of data processed by the center node, reduces the occupation of network bandwidth, and improves the real-time performance of issuing the target task.

The invention relates to the technical field of virtual geographic scene visualization, and discloses a virtual geographic scene enhanced visualization method, device and equipment and a storage medium, and the method comprises the steps: obtaining a virtual geographic scene visualization request of a user terminal, considering the visualization constraint condition provided by the user terminal, and improving the visualization efficiency of the virtual geographic scene. The method comprises the following steps: rendering and mapping geographic information data into a visual display scene, constructing a scene visual feature set, and according to a selective visual expression demand of a user terminal for each scene visual feature; the scene visual features in each visual display period are subjected to display content selective expression, the scene display content with the highest visual cognition efficiency is sent to the user terminal, and finally the scene display content of the next visual display period is adjusted according to the display evaluation result fed back by the user terminal. While the operation load is reduced, the scene visualization experience of the terminal user is improved, and the scene display strategy which occupies the least system resources and can meet the current user demand is provided.

The present application relates to a kind of modular molten salt loading and storage system, including vertical support structure rack, normal temperature electrical equipment group and high temperature molten salt equipment group are physically separated by isolation fence and integrated in it;High temperature molten salt equipment group includes molten salt storage tank and molten salt pipeline connected with molten salt storage tank;Molten salt pipeline includes molten salt loading pipe, molten salt loading pipe has upward inclination relative to horizontal plane, to realize the self-weight backflow of molten salt;The middle section of molten salt loading pipe is connected with molten salt isolation valve, and molten salt isolation valve and normal temperature electrical equipment group are cooperated to realize the on-off control of molten salt loading pipe.The present application effectively avoids the thermal influence of high temperature environment on normal temperature electrical equipment by isolation fence, and the integrated design of overall modularization integrates the core equipment of molten salt loading and storage into one, discards the traditional dispersed equipment arrangement and installation mode, greatly simplifies the field construction process, reduces installation period, also makes the debugging, maintenance and overhaul of system more convenient.

The utility model discloses a foldable environment-friendly bean flour packing box with measuring scales, which comprises a packing box main body, a group of folding mark grooves arranged at equal intervals are arranged on the outer surface of the packing box main body, a film observation frame is fixedly embedded on the right side surface of the packing box main body, and the film observation frame is positioned in the middle of the packing box main body. A set of scale strips are arranged on the right side face of the packaging box body. The packaging box belongs to the technical field of packaging boxes, the packaging box main body can be pressed and folded through the design of the crease groove by arranging the crease groove, the binding belt, the tightening buckle, the hook-and-loop fastener and the hook-and-loop fastener, and the binding belt, the tightening buckle, the hook-and-loop fastener and the hook-and-loop fastener are matched to carry out binding and tightening, so that the packaging box is convenient to use. According to the bean flour packaging box, the packaging box body can be conveniently folded to be small in size, storage and carrying are convenient, occupied space is reduced, consumers can conveniently and accurately master the using amount of bean flour through the arranged film observation frame and scale strips, and the using effect of the bean flour packaging box is improved.

The invention belongs to the technical field of power transformer insulation design and verification, and particularly relates to a power transformer insulation characteristic data analysis and performance prediction method and system, and the method comprises the steps: constructing a structured sample set containing multi-dimensional design parameters and lightning impulse response tags based on a three-phase differential prototype; identifying key variables in the structured sample set and extracting physical consistency constraints; and inputting the key variable and the physical consistency constraint into a preset XGBoost prediction model, and outputting a prediction value and a confidence interval. According to the method, the influence of multi-dimensional parameters on the insulation impact indexes is disassembled into clear main effects and interaction effects, and a traceable mechanism map is formed. Compared with a traditional method which depends on single-point experience judgment or post trial and error, the method has the advantages that standardized data evidences and explainable output are provided, and designers can conveniently and quickly position key constraints, formulate optimization priorities and directly backfill results to design specification and parameter boundaries.

This utility model relates to the technical field of elevator car top guardrail equipment, and discloses a retractable guardrail for elevator car tops, including an elevator car top with a rectangular structure. First supports are fixedly connected to the four right angles of the elevator car top. First limiting cylinders are fixedly connected to the upper sides of multiple first supports. Threaded sleeves are fixedly connected to the bottom inner sides of multiple first limiting cylinders. Each threaded sleeve is threaded with a threaded rod, and a first support tube is rotatably connected to each threaded rod. This utility model allows the threaded rods to rotate by rotating a handwheel, causing the first support tubes to rise or fall from the first limiting cylinders. When the elevator is paused for maintenance, each first support can be raised; when the elevator is running normally, each first support can be retracted into the first limiting cylinder, thereby reducing the space occupied by the guardrail in the elevator shaft.

The application provides an object data processing method and device and a storage medium, relates to the technical field of Internet, can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and auxiliary driving, is applied to an object data processing system including a first data processing end and a second data processing end, and the method comprises the following steps: the first data processing end receives an object data update request, the object data update request carries a member object identifier and member update data of a target member object, the first data processing end is constructed based on a script language; the first data processing end calls a target attribute mapping object in the second data processing end based on the member object identifier of the target member object, the second data processing end is constructed based on an object-oriented programming language; and the second data processing end performs data update on the target attribute mapping object according to the member update data. The application can reduce the update resource occupation and cost, and improve data synchronization.

This application discloses a health management and resource optimization configuration method for a distributed power supply in a test cabinet. The method includes: collecting electrical and temperature parameters of multiple sub-modules of the power supply during operation; extracting feature vectors representing the degradation state of the power supply based on a sliding time window; obtaining health information of multiple sub-modules; adaptively adjusting the reporting strategy of health information; and outputting power control commands for at least one sub-module. When a sub-module's health risk indicator is detected to exceed a preset risk threshold, the sub-module is marked as a risk sub-module, and at least one type of migrateable load is migrated from the risk sub-module to a candidate sub-module. Output channel isolation control is performed on the risk sub-module, and the power supply path used for status detection is retained. The display priority of multiple sub-modules is calculated, sorted and displayed according to the display priority, and multi-level alarm prompts corresponding to the health risk indicators are triggered simultaneously.

This invention relates to the field of new energy data acquisition methods, specifically to a new energy data acquisition device and method for multiple application scenarios. The method includes: receiving acquisition intentions submitted by upper-layer applications; converting the acquisition intentions into data requirement tuples based on a pre-built resource dependency knowledge graph; when multiple acquisition intentions exist simultaneously, performing conflict detection on the data requirement tuples of each acquisition intention; taking the highest frequency and highest precision requirement of the same variable as basic acquisition parameters; obtaining the current available communication bandwidth, edge node computing power, and storage space resource status; downgrading and adjusting the acquisition parameters according to the priority of each acquisition intention; generating an acquisition strategy for each sensor or device; distributing the acquisition strategy to the edge acquisition gateway; and then performing data acquisition. This invention can dynamically adjust the acquisition strategy and rationally allocate resources according to the differentiated needs of multiple application scenarios when acquiring new energy data.

This invention relates to the fields of audio and video playback technology and network communication technology, specifically a dynamic control method and system for video playback caching. By introducing intelligent prediction models, dynamic weight allocation algorithms, and scene association mechanisms, it achieves precise adjustment of video player caching duration, download speed, and external parameters, thereby maximizing the utilization of the player's local cached content, improving bandwidth utilization, reducing CDN bandwidth costs, and minimizing playback stuttering. Furthermore, this invention provides dynamic parameter and intelligent algorithm configuration interfaces for external users, allowing them to adjust caching control strategies based on multiple different parameters and business scenarios to achieve the optimal caching strategy for their own business.

The application discloses a kind of inventory optimization methods of charging facility spare parts replacement cycle and failure rate analysis, and the core process of this method includes building data layer, multidimensional data is cleaned and optimized, to realize standardized storage;Based on the LSTM algorithm, a multidimensional linkage prediction model is built, the loss effect of design defects and environmental factors is quantified to optimize the model, and the accurate spare parts replacement cycle threshold and equipment failure rate are output;According to the flow properties of spare parts, a differentiated inventory management mode is designed, and the optimal management mode of slow-moving parts is selected;A full-cost quantification model is built to calculate the total cost and service level under each mode;Finally, with the goal of minimizing cost, an intelligent inventory control model is built, which dynamically outputs inventory warning thresholds, replenishment quantities and times;Through the algorithmization and parameter quantification of the whole process, the application realizes fine and intelligent management of inventory, significantly reduces operating costs and stockout risk, and improves the stability of charging facilities.

The invention discloses a navigation voice broadcasting method and device, electronic equipment and a storage medium, and relates to the technical field of navigation.The method comprises the steps that a navigation destination request is obtained, and common city information is determined through an address information query module; vehicle running state data including administrative city codes, road grade identification values and subsequent action states are monitored in real time; based on the common city information and the vehicle running state data, intelligent guide judgment is executed, and a detailed broadcast mode recommendation instruction or a simple broadcast mode recommendation instruction is generated; and in response to the recommendation instruction, controlling the touch display panel to render the interaction window, and updating the voice broadcast mode state according to the user touch input state value or the overtime default confirmation logic. Detailed broadcasting is recommended when the vehicle is in a non-common city and the road condition is complex, simple broadcasting is recommended when the vehicle is in a common city and the road condition is simple, a countdown automatic confirmation mechanism reduces the driving interaction load, and warning tone conflicts are avoided by detecting the audio channel occupation state.

The utility model discloses an industrial waste residue composite cementing material preparation system which comprises a first calcining furnace, a kaolin feeding hole and a bauxite feeding hole are formed in the first calcining furnace, the first calcining furnace is connected with a first mixing kettle, and a coal ash feeding hole and a 10% sodium hydroxide solution feeding hole are formed in the first mixing kettle; the outlet end of the second calcining furnace is connected with the inlet end of the dehydrating tower, the outlet end of the dehydrating tower is connected with the inlet end of the second calcining furnace, the second calcining furnace is provided with a sodium dihydrogen phosphate feed port and a urea feed port, and the second calcining furnace is connected with the second mixing kettle; the second mixing kettle is provided with a red mud feeding hole, a coal gangue feeding hole, a metallurgical slag feeding hole and a glass water feeding hole; and the second mixing kettle is sequentially connected with the air furnace, the grinding kettle and the finished product bin. According to the utility model, the stockpiling of industrial solid wastes can be reduced, the environmental pollution can be effectively reduced, and the problem of infrastructure material shortage can be effectively relieved on the premise of ensuring the engineering quality.

This invention discloses an on-demand telemetry path planning method for mega-constellation satellite networks. First, an on-demand telemetry mechanism is established based on a programmable data plane, realizing a logical shift from "blind telemetry across the entire network" to "precise target point perception." Second, a projection dimensionality reduction strategy is used to eliminate non-target nodes, significantly reducing the computational complexity in large-scale networks. Next, a Hamiltonian cycle structure is used to unify the start and end points of each telemetry path, ensuring that a single closed path only requires initiating a telemetry process once at the source node, significantly reducing system process maintenance overhead. Finally, based on the capacity limit of a single telemetry message, the initial global Hamiltonian cycle is truncated to obtain a multi-loop planning scheme that satisfies the telemetry message capacity constraint, completing the on-demand telemetry path planning and thus constructing an efficient and low-overhead telemetry path planning scheme.