635 results about "Reliable transmission" patented technology

The invention provides an intelligent fire-fighting equipment self-inspection and fault early warning system based on an AI algorithm. The intelligent fire-fighting equipment self-inspection and fault early warning system comprises a sensing layer used for integrating a multi-source heterogeneous sensing unit; the edge layer is used for deploying intelligent preprocessing nodes; the transmission layer is used for constructing a safe and reliable transmission channel; the platform layer is used for establishing an intelligent analysis center; the application layer is used for providing intelligent decision service; and the five layers of architectures work cooperatively. According to the invention, full-dimension monitoring of fire-fighting equipment is realized through a multi-physics field cooperative sensing framework of a sensing layer, and the fault detection capability is remarkably improved. The multi-source heterogeneous sensing unit integrated in the sensing layer can capture various physical quantity information such as acoustics, vibration and thermal fields at the same time, information of different physical fields is complementarily enhanced through a cross-domain feature complementation enhancement mechanism, and more comprehensive equipment state features are obtained. In particular, the sensor self-adaptive excitation technology dynamically adjusts the excitation energy of the sensor according to the environmental interference degree, and ensures that high-quality signals can be obtained under different working conditions.

The invention discloses an intelligent management method and system for port and navigation Internet of Things data, and the method comprises the steps: generating a standardized data flow through a multi-modal data fusion model according to the heterogeneous features of ship navigation data, port equipment operation data and cargo information; generating an anti-interference transmission channel based on the standardized data stream; according to the real-time data received by the anti-interference transmission channel, dynamically generating a tamper-proof storage index through a trusted execution environment; extracting multi-source data based on the storage index, and generating a ship arrival time prediction model and a port resource scheduling strategy; and according to the port resource scheduling strategy, constructing a cross-department data sharing network through a federated learning framework and a zero-knowledge proof protocol, and generating a verifiable shared data set. According to the embodiment of the invention, port and navigation Internet of Things data management with reliable transmission, safe storage and collaborative intelligence can be realized, and the data management efficiency is improved.

The invention relates to the technical field of abnormal monitoring of water-turbine generator sets, in particular to an abnormal monitoring system and method for a water-turbine generator set, and the system comprises a sensor module, an edge computing node, a cloud analysis platform and a scheduling decision center. The edge computing node performs data preprocessing, the cloud analysis platform realizes accurate early warning by applying technologies such as multi-source data fusion, a dynamic early warning model library and adaptive threshold adjustment, the scheduling decision center optimizes scheduling decisions through a resource matching engine and an emergency plan generation module, and the industrial communication network guarantees reliable transmission of data. In addition, the system is also provided with a visual interaction interface and a state evaluation report generation module. According to the invention, comprehensive and accurate monitoring and intelligent early warning of the water-turbine generator set are realized, the fault processing efficiency is effectively improved, the probability of false alarm and missing alarm is reduced, resource allocation is optimized, the operation safety is enhanced, and a powerful guarantee is provided for stable operation of the water-turbine generator set.

The invention relates to the technical field of industrial Internet of Things, and discloses a low-delay industrial Internet of Things data transmission system based on a 5G network. The system comprises a plurality of functional modules such as a data acquisition module, a data preprocessing module, a network transmission optimization module and a congestion control module. The data acquisition module acquires a heterogeneous data set, the preprocessing module performs standardization processing, the network transmission optimization module selects an optimal channel and node, and the congestion control module predicts flow and adjusts a transmission strategy. In addition, the system also has the functions of security encryption, heterogeneous data synchronization, dynamic spectrum allocation and the like. Through cooperative work of the modules, the system realizes low-delay and high-reliability transmission of industrial Internet of Things data, effectively processes heterogeneous data, guarantees data security, improves spectrum utilization efficiency and energy efficiency, enhances fault tolerance and compatibility of the system, and is suitable for various industrial scenes.

The invention relates to the technical field of network monitoring, in particular to a method for constructing a dynamic self-adaptive alarm monitoring network based on LoRa and Ad-hoc ad hoc network technology, which comprises the following steps: (1) integrating a dynamic Ad-hoc ad hoc network routing protocol on each LoRa node, so that each node can automatically discover neighbor nodes, establish and maintain a dynamic routing table, and automatically discover the neighbor nodes; a non-centralized network architecture is realized; (2) through a multi-hop communication mode, the alarm information can be flexibly transmitted among the nodes, the coverage range of the network is expanded, and the system adapts to a complex geographical environment; and (3) by utilizing the characteristics of low power consumption and long-distance transmission of the LoRa technology, stable communication between the nodes in a large range is ensured, meanwhile, the energy consumption is reduced, and the working life of the nodes is prolonged. Through the dynamic self-adaptive Ad-hoc routing protocol, the network can automatically adjust the routing according to the node state and the environment change, the dynamic change of the network topology is adapted, and the reliable transmission of the alarm information is ensured.

The invention provides a remote intelligent lock control method based on a cloud platform, and relates to the technical field of artificial intelligence, and the method comprises the steps that the cloud platform issues a sound wave signal emission instruction to a target intelligent lock, and triggers the intelligent lock to send multi-band sound wave signals to a preset auxiliary signal enhancement device deployment position A and a preset auxiliary signal enhancement device deployment position B; and the cloud platform receives sound wave feedback signals returned by the position A and the position B, calculates a final communication path based on signal propagation time delay, frequency band interference intensity and attenuation parameters in combination with a real-time signal quality index reported by the remote communication module, and sends a dynamic encryption instruction to the remote communication module through the final communication path. According to the method, the optimal transmission path is dynamically calculated, the traditional single channel transmission limitation is broken through, reliable transmission of the control instruction can still be guaranteed in a complex electromagnetic environment or an obstacle shielding scene, and the communication interruption rate is reduced.

The invention relates to the technical field of wireless communication, in particular to a production line wireless communication system and method. The system comprises a multi-dimensional feature sensing module, an interference intelligent cognition and decision-making module, a communication opportunity decision-making module and a channel resource arrangement module. An expected action sequence, transient current features and spatial position topology of an interference source are collected through a multi-dimensional feature sensing module, and an interference source multi-dimensional feature set is generated through fusion; the interference intelligent cognition and decision-making module performs space-time spectrum joint modeling of an interference field based on the feature set, generates a workshop electromagnetic environment situation map, constructs a whole network link toughness map in parallel, and generates a conflict-free communication scheduling table through fusion analysis and multi-dimensional cost optimization; the communication opportunity decision module converts the dispatch table into an executable instruction; and the channel resource arrangement module executes the instruction and realizes closed-loop feedback. According to the method, the problem of communication uncertainty caused by industrial electromagnetic interference is solved, and reliable transmission of key services such as automatic guided vehicle scheduling and man-machine interaction is ensured.

The invention relates to the technical field of wireless communication, and discloses a communication equipment command and dispatch system based on artificial intelligence, the system maps the state of communication equipment into a standardized carrier phase disturbance mode, and after the disturbance mode is adaptively adjusted in combination with channel noise perception and conflict arbitration logic, the communication equipment is commanded and dispatched. Controlling the radio frequency front end to carry out injection; the adjacent communication equipment directly detects the disturbance mode to trigger the cooperative scheduling action by monitoring the physical error signal of the carrier synchronization loop of the adjacent communication equipment, and the implicit cooperative mode based on the physical layer beacon is constructed, so that the complex high-level signaling interaction required by the traditional scheduling is avoided, and the scheduling efficiency is improved. According to the method, the millisecond level, determined by a software protocol, of the collaborative response time between the devices is substituted into the microsecond level determined by the hardware physical layer response entscheid, the system can still maintain reliable transmission of scheduling instructions when facing high-density concurrent conflicts and strong channel noise, and a technical implementation path is provided for ultra-low-delay and high-reliability communication.

The invention discloses a Beidou short message data transmission method and system based on subpackage and account checking, and relates to the technical field of data processing, and the method comprises the steps: obtaining a limited transmission length and a packet header length, obtaining a quality factor, and obtaining an effective load capacity; obtaining original data, obtaining data length, obtaining the number of subpackages, and obtaining subpackage serial numbers with the same number; dividing the data packets into a plurality of data packets, the number of which is equal to the number of sub-packets, and associating the plurality of data packets with the plurality of sub-packet sequences respectively to generate sub-packets to be sent; the sub-packets to be sent are sequentially transmitted to a receiving end, an account checking request is sent to the receiving end after transmission is completed, the sub-packet sequences in the multiple sub-packets to be sent are checked after the account checking request is obtained at the receiving end, a processing strategy is generated according to the sub-packet sequence checking result, and the processing strategy is used for supplementary transmission. The processing strategy is also used for correcting and iterating the original quality factor. The method has the advantages of dynamic self-adaption, efficient and reliable transmission and intelligent self-optimization.

The invention provides a high-robustness data real-time synchronization method and system, a storage medium and electronic equipment, relates to the technical field of data synchronization, and can significantly reduce the data synchronization delay between different systems by introducing mixed timestamps and fragment increment verification and calculation and adopting a reliable transmission mechanism and idempotent processing protocols based on message queues, thereby improving the data synchronization performance. Almost real-time information sharing is realized; meanwhile, the data consistency of the cross-heterogeneous information system can be effectively improved, and the accuracy and integrity of the data among multi-source systems are ensured; in addition, the reliability and robustness of data synchronization in unstable environments such as limited network bandwidth, easy jitter or interruption and the like can be greatly enhanced.

The invention provides a KCP reliable transmission proxy method and system based on the Internet of Things, and relates to the technical field of Internet of Things communication, and the method comprises the steps: transmitting Internet of Things application protocol data to a local proxy through a client; packaging the received data networking application protocol data based on an application layer rapid and reliable protocol; forwarding the packaged request data packet to a remote agent of the target device based on a transport layer protocol; analyzing the request data packet to obtain data networking application protocol data and address data in a session message header; establishing connection with a target server according to server address information and a server port number in the address data; in response to the forwarded data networking application protocol data, the target server returns response data to the remote agent; the response data are packaged and transmitted back to the local agent to be analyzed, and the response data are forwarded to the client; and closing the connection between the client and the local agent based on the received response data. The invention aims to carry out efficient and reliable data networking data proxy.

The invention discloses an underground data reliable transmission method and system based on multipath redundancy, and relates to the technical field of drilling operation well control monitoring, and the method comprises the steps: building a channel state real-time monitoring and reliability evaluation mechanism for a plurality of communication channels from underground to ground, and taking an evaluation result as a drive, performing erasure redundancy coding and adaptive fragment distribution on a to-be-transmitted data packet to enable a channel with higher reliability to bear more coding fragments; parallel uplink transmission of the fragments is achieved through multi-channel scheduling, and the ground end carries out decoding reconstruction based on the arriving fragments to recover complete monitoring data. Therefore, when the channel is degraded or partially loses efficacy, the data can still be continuously available, so that the certainty and the real-time performance of underground monitoring data transmission are improved.

The invention provides a data cross-network exchange method, device and system. The system comprises an application data receiving module, a first public buffer area, a security detection module, a data routing configuration library, a first data exchange processing module, a data security encryption module, a sending cache library, a first message queue, an exchange data sending module, a first exchange equipment integration module, a second exchange equipment integration module and an exchange data receiving module. The cooperation among the second public buffer area, the data format conversion module, the second data exchange processing module, the data security decryption module, the distribution cache library, the second message queue and the application data distribution module can be compatible with various hardware devices, the unified cross-network data exchange service is realized, the flexibility and the expandability are improved, and the data exchange efficiency is improved. And safe, efficient and reliable transmission of data among different networks is ensured. The maintenance cost of networks with different security levels under the condition of physical isolation is reduced, and the security protection capability of the confidential network is further enhanced.

The invention discloses a bar code scanning data rapid transmission method based on edge calculation, and the method comprises the following steps: S1, collecting bar code data, and packaging the bar code data into a bar code data package; s2, sending the barcode data packet to an edge computing node; s3, carrying out preprocessing by the edge computing node; s4, constructing and managing a multi-task scheduling queue in the edge computing node; s5, the edge computing node collects network state parameters and generates a network score value; s6, when the network score value is smaller than the network score threshold value, performing compression and encapsulation by adopting a content awareness compression coding mechanism; s7, when the network score value is greater than or equal to the network score threshold value, starting a delay synchronization mechanism; and S8, the cloud server receives, executes processing and returns to the edge computing node. According to the method, edge calculation and content perception compression are fused, efficient scheduling and reliable transmission of bar code data are realized, and the method has the advantages of high real-time performance, weak network resistance and efficient transmission.

The invention discloses a satellite-based routing decision making method and device and a storage medium. The method comprises the following steps: determining a plurality of reference curves in each first sampling period; determining a first distribution curve in the current time period, and broadcasting the reference curve of the current time period, the first distribution curve and the channel capacity of each area in the current time period to each satellite; determining a reference curve of the next time period, calculating a deformation relation between the reference curve of the second sampling time period and the reference curve of the third sampling time period, and performing deformation processing on the first distribution curve to obtain a plurality of second distribution curves of the next time period; predicting the satellite congestion degree of each region in the next time period according to the channel capacity of each region in the current time period on the basis of the plurality of second distribution curves; and based on each region, constructing a plurality of corresponding routing paths, and determining an optimal routing path in the plurality of routing paths by using a genetic algorithm. Therefore, the technical effect of reliably transmitting data is achieved.

The invention relates to a flexible regulation and control load remote control terminal and method, and belongs to the technical field of power system automation and demand side management.The control terminal comprises an intelligent communication adaptation module, a coupling modeling module, a multi-scene self-adaption regulation and control module and a user interaction feedback module which are interconnected through an internal data bus; real-time interaction and cooperative work of data are realized; according to the invention, the breakthrough of the regulation and control mode from static presetting to dynamic optimization is realized, full-protocol compatibility and high-reliability transmission are realized, the real-time performance and interaction depth of user side response are improved, and the refinement and precision of control are improved.

The invention discloses a low-complexity MSK coded modulation system phase synchronization receiving system and method, and relates to the technical field of continuous phase modulation. On one hand, an original message is coded and modulated by constructing a pre-coding mode, a receiving end realizes optimal sampling point extraction at the minimum intersymbol crosstalk moment after phase decoupling frequency conversion processing, MSK is converted into BPSK-like modulation, oversampling processing is not needed, modulation phase components of a receiving synchronization section can be offset, and the modulation efficiency of the receiving synchronization section is improved; therefore, accurate estimation of Doppler phase and frequency is realized, and the anti-Doppler capability is improved. On the other hand, coherent demodulation soft information is directly output after the real part of the signal subjected to Doppler frequency offset and phase offset compensation is obtained, the complexity of the demodulation algorithm is low, the performance of the demodulation algorithm is equivalent to that of BPSK, the demodulation algorithm is remarkably superior to that of an MSK optimal demodulation receiver in a low signal-to-noise ratio region, and the demodulation algorithm is particularly suitable for a bit interleaving coding modulation system combined with channel coding and has a wide application prospect. And reliable transmission under a low signal-to-noise ratio can be realized.

The invention provides a steering-by-wire vehicle variable transmission ratio design method and system based on a fuzzy neural network, and belongs to the field of vehicle steering-by-wire. According to a fixed gain method, the steering angle transmission ratio is too small at a low speed, and the sensitivity is low at a high speed; the existing intelligent algorithm excessively depends on the experience of a designer and the quality of a data sample. The method comprises the following steps: establishing a closed-loop driver-vehicle system, designing a multi-target evaluation method by using a quadratic cost function of a vehicle dynamic state, and obtaining a data relationship between a vehicle ideal variable transmission ratio characteristic and a vehicle longitudinal speed and a steering wheel angle; a nonlinear control model is established through a fuzzy RBF network, and a globally optimal solution is obtained based on nonlinear model learning. The robustness of the control system is improved, the stable and reliable transmission ratio can be provided under various vehicle conditions, and the problem that a steering system is light and flexible is solved, so that the experience feeling of a driver under various vehicle conditions is improved, and meanwhile the operation stability and safety of the vehicle are improved.

The invention discloses an asynchronous processing method and device for business process data, and belongs to a distributed system data processing technology, and the method comprises the following steps: S101, receiving a business request message, and persistently storing the business request message in a main message queue; s102, acquiring a to-be-processed message from the main message queue, and locking an associated target data record before executing processing; s103, verifying data consistency based on the version number recorded by the target data, if the version number is matched, executing processing and updating the version number, and otherwise, discarding the message; s104, after successful processing, sending a confirmation instruction deletion message to the main message queue; through persistent storage of the main message queue, a version number verification mechanism and management of the dead message queue, the problem of data inconsistency caused by concurrent operation is effectively prevented, reliable transmission of messages is ensured, loss of service data is avoided, dead message processing efficiency is optimized, and the method has the advantages of ensuring data consistency, preventing message loss and improving system reliability.

The utility model relates to a detection system. The detection system comprises a plurality of control hosts; each slave unit comprises at least one slave, the at least one slave comprises a to-be-detected device and / or a detection device for detecting the to-be-detected device, the central repeater is in communication connection with each control host through an SPI communication link, and the central repeater is provided with a plurality of storage modules in one-to-one correspondence with the plurality of control hosts; and the plurality of edge repeaters are respectively in communication connection with the central repeater through SPI communication links, and each edge repeater is respectively connected with all slave machines in one slave machine set through communication interfaces. According to the utility model, signal attenuation and interference in long-distance transmission can be effectively relieved, and the reliable transmission distance of the SPI is expanded; the plurality of control hosts can realize independent and reliable communication with the to-be-detected devices in the different slave units or the detection equipment thereof, and the detection reliability of the to-be-detected devices can be improved.

The invention discloses a 5G-TSN network resource scheduling method based on a near-end strategy optimization algorithm, which completes 5G-TSN network resource scheduling by establishing a 5G wireless channel model, constructing a Markov decision process model and realizing action value output and strategy optimization through the near-end strategy optimization algorithm. According to the network resource scheduling method provided by the invention, a dynamic resource allocation strategy is realized based on gating state sensing, ultralow delay services such as robot control instructions and the like can be preferentially scheduled when gating of a time-sensitive network is started, and non-real-time services such as resource transmission video monitoring and the like can be intelligently multiplexed when the gating of the time-sensitive network is closed; the wireless resource utilization rate is effectively improved, meanwhile, it is ensured that data with high real-time performance can be transmitted as soon as possible in a short time, reliable transmission of equipment data in an industrial scene is ensured, scheduling mechanisms of a 5G wireless network and a time-sensitive network are fused, resource scheduling is efficiently carried out, and the real-time performance, reliability and resource utilization rate of data transmission are balanced.

The invention provides an end-network cooperative transmission system and method for a multi-mode network. The system comprises a terminal service demand layer which is used for identifying the service type of a terminal in a multi-mode network, generating structured service demand information and transmitting the service demand information to a network collaborative decision-making layer; the network cooperation decision-making layer is used for fusing the service demand information and the link state information, generating a transmission optimization strategy including path selection, priority mapping, bandwidth allocation and rate control, and transmitting the transmission optimization strategy to the transmission optimization strategy execution layer; and the transmission optimization strategy execution layer is used for executing a transmission optimization strategy, collecting link state information in the multi-mode network in real time through INT, and transmitting the link state information to the network cooperation decision layer. According to the method, efficient scheduling of heterogeneous network resources and high-reliability transmission guarantee of differentiated services are achieved, and the method is suitable for key service scenes sensitive to time delay and reliability, such as Internet of Vehicles and ultra-high-definition video transmission.

The invention provides a space-air-ground three-dimensional communication cross-network cooperative reliable transmission method, device and system. The system comprises a generalized service layer, a resource adaptation layer and a fusion network layer, the generalized service layer receives a service request initiated by a user, analyzes the service request to obtain a service attribute, and sends the service attribute to the resource adaptation layer; the resource adaptation layer performs service resource adaptation mapping by using a reinforcement learning algorithm according to the service attribute and the current network state information, generates a service deployment strategy and issues the service deployment strategy to the fusion network layer; and the fusion network layer schedules a corresponding network component according to the received service deployment strategy, and completes path selection, forwarding scheduling and coding strategy application tasks corresponding to the service request. The system has multi-protocol identification and unified packaging capabilities, and can receive multiple data formats and carry out standardized processing. According to the method, multi-path flexible scheduling, network coding and covert channel methods are integrated, and the limitation of an existing communication system in the aspects of protocol compatibility, transmission efficiency and reliability is broken through.

The invention relates to the technical field of satellite communication, in particular to a satellite short message data transmission method and device. The method comprises the following steps: a receiving end device establishes an initial communication link with a satellite through a preset guide sequence and performs time synchronization and frequency synchronization to generate a security parameter negotiation channel; sending an encryption capability message to the satellite through the security parameter negotiation channel and establishing an end-to-end corresponding encryption communication channel; sending a short message data transmission request to the satellite through the encrypted communication channel, and sending a beam configuration parameter to the receiving end device through the encrypted communication channel; and when the receiving end equipment adjusts a corresponding receiving antenna according to the beam configuration parameter to form a directional receiving beam and reaches a preset threshold value, a resource redistribution mechanism is triggered, so that beam resources occupied by the low-priority service are dynamically adjusted to the high-priority service for use. According to the invention, efficient and reliable transmission of satellite short message data can be realized.

The invention discloses a metering inspection platform and method, and the method comprises the following steps: carrying out the extraction of communication parameters and function information of metering equipment, building a unified data model, distributing a unique identifier, and achieving the automatic access of different types of equipment. The platform automatically generates an adaptive inspection flow path according to equipment functions and inspection requirements, can temporarily cache and collect data when a network is abnormal in a flow execution process, and adds a timestamp and verification information to the data. And after the network is recovered, the system compares and verifies the cached data, updates the process state after ensuring the data consistency, records and archives the effective data, and generates a traceable record entry. According to the invention, the access flexibility of the metering equipment is improved, and automatic construction of a process and reliable transmission and storage of data are supported.

The invention relates to the technical field of intelligent interaction, in particular to a multi-modal input agent decision interaction method and system. The system comprises a multi-modal input acquisition unit, an input processing unit, a decision strategy generation unit, an interactive execution unit and a data transmission unit. The multi-modal input acquisition unit acquires multi-modal input signal data of a target environment to realize multi-dimensional sensing of the environment; the input processing unit processes the signal data to obtain multi-modal feature data, and the characterization accuracy of the feature data on the environment information is improved by deeply fusing multi-source data to mine internal association; the decision-making strategy generation unit generates a decision-making strategy based on the feature data, and can adjust decision-making logic according to the real-time change of the environment; the interactive execution unit executes interactive actions according to a decision strategy to guarantee accurate conversion of decisions; and the data transmission unit transmits the interaction result data to external equipment to ensure real-time and reliable transmission. The system is suitable for various intelligent interaction scenes.

The invention discloses an intelligent control system of a hydraulic pump station. The intelligent control system comprises an identity authentication unit used for carrying out identity authentication on an operator; the communication unit and the anti-interference module adopt a communication technology and are combined with the anti-interference module to realize stable and reliable transmission of data; the multi-sensor data acquisition unit integrates a water level sensor, a flow sensor, a pressure sensor and a temperature sensor and acquires key operation parameters in the hydraulic pump station in real time; the central processing unit is used for processing and analyzing the collected data based on big data analysis and an artificial intelligence algorithm and automatically judging the operation condition of the pump station; the system has the beneficial effects that the operation efficiency and stability of the hydraulic pump station are improved, and starting and stopping, the rotating speed and the flow of the water pump are automatically adjusted through intelligent analysis and control; and through the identity authentication unit and the remote monitoring function, it is ensured that only authorized personnel can operate and manage the pump station.

The invention discloses a data transmission method and device, a medium and a program product, and relates to the technical field of computers, bus protocol data is acquired, fragmentation processing is performed based on a user-defined data format, flexible splitting and adaptation of data during transmission between processing units are realized, and the transmission requirements of data size differences of different channels can be effectively met. The data transmission of different types of data is realized by performing arbitration scheduling on the fragmented data according to the channel type, and the flow control is performed by dynamically updating the credit value of the sending side based on the authorized credit value returned by the receiving side, so that the data overflow or transmission congestion is prevented, and the transmission efficiency is improved. Therefore, efficient scheduling and reliable transmission of communication between the processing units and dynamic balance of resources are realized, and the overall transmission efficiency is improved.

The invention relates to a method for optimizing data transmission in a multi-agent system, comprising: - obtaining raw data streams respectively from at least two agents; - classifying the received raw data streams based on predetermined characteristics; - obtaining requirements regarding end-to-end (E2E) latency and performance metrics from at least one node of the multi-agent system; - obtaining a set of interdependent QoS requests for the raw data streams suitable for data transmission via a a communication system; - computing a figure of merit for all the raw data streams based on the classified raw data streams, the node requirements, and the set of interdependent QoS requests; and - encoding the raw data streams and transmitting through the communication system the encoded data streams to the node according to the computed figure of merit. The invention ensures efficient and reliable transmission in the multi-agent communication system.

The invention discloses a satellite-borne equipment embedded system software on-orbit reconstruction method and a satellite-borne equipment embedded system. The method comprises the following steps: partitioning a FLASH memory of a microcontroller of satellite-borne equipment into a region, a BootLoader boot program region and an application program storage region; an independent BootLoader bootstrap program is solidified in the BootLoader bootstrap program area in advance; receiving a program file subpackage from a satellite service computer during on-orbit operation; a two-stage reliable transmission protocol including sequential receiving and packet supplementing receiving is adopted to receive a program file, wrong and missing packets are received and dynamically recorded in the sequential receiving stage, and only the wrong and missing packets are selectively retransmitted in the packet supplementing receiving stage; according to an instruction of the satellite service computer, the received complete program file is verified, the program file is written into the application program storage area after passing the verification, updating is completed, the BootLoader bootstrap program jumps to the updated application program, and on-orbit reconstruction is completed.