3550 results about "Transmission system" patented technology

The invention relates to the technical field of integration of artificial intelligence security and network security, and discloses an AI dynamic security transmission system based on an SASE framework, which realizes security access control based on AI dynamic identity verification through an SASE integration access module, acquires and predicts network performance change in real time by using a network state sensing module, and transmits the network performance change to a network server. Equipment, environment and data content are subjected to multi-dimensional analysis by means of a security risk assessment module, a quantitative risk score is generated, and a transmission protocol, parameters and encryption strength are dynamically adjusted according to a network state and the risk score by means of a dynamic transmission optimization module and a self-adaptive encryption module; the problem that safety protection and transmission efficiency are difficult to cooperate in a traditional architecture is effectively solved, low-delay and high-reliability data transmission service can be provided for AI application in a complex network environment, meanwhile, self-adaptive dynamic protection of the whole data transmission process is achieved, and data safety is comprehensively guaranteed.

The invention provides a signal optimization transmission system and method based on HPLC and HRF dual-mode communication, a signal acquisition and processing module of the signal optimization transmission system based on HPLC and HRF dual-mode communication is used for acquiring signals of two communication modes of HPLC and HRF in real time, preprocessing the signals and extracting key signal parameters; the dual-mode switching module is used for dynamically switching an HPLC mode and an HRF mode based on channel quality; the access module is used for constructing a longitudinal backbone network and a transverse Mesh network, forming a hybrid topology, optimizing a routing path and coordinating resource allocation and conflict avoidance of HPLC and HRF; the intelligent decision module is used for predicting future interference intensity according to the historical interference data and adjusting channel parameters; the central coordinator module is used for network initialization and resource allocation; according to the system and the method, the HPLC mode and the HRF mode are automatically switched according to the channel quality, the longitudinal HPLC backbone network is combined with the transverse HRF Mesh network to form a four-dimensional communication network, and the robustness in a complex scene is remarkably improved.

The invention discloses a computer network data secure transmission system and method, and particularly relates to the technical field of network data secure transmission, and the system comprises a dynamic key management module which generates a key seed through a quantum random number generator, generates a dynamic key bound with a data packet in combination with a timestamp, and transmits the dynamic key to a server; after being encrypted by a receiving end public key, the data are transmitted through an independent verification channel; the dual-path transmission control module is used for establishing dual channels of a main path and a shadow path, a data packet of the main path is embedded into a random camouflage protocol header to simulate a non-sensitive protocol, and a blank data packet is filled in the shadow path to maintain traffic characteristics; according to the real-time verification engine, a receiving end constructs an encrypted hash tree to achieve fragment-level integrity verification, and meanwhile, requests key state three-state verification from the key management module. Through key dynamic generation and separation transmission, dual-path adaptive fragmentation distribution, fragmentation hash tree reconstruction and key linkage verification, and abnormal triggering fragmentation level retransmission, the problems of long-term effectiveness of a static key, predictable transmission path and verification lag are solved.

The invention discloses a mechanical transmission system fault trend prediction system based on dynamic feature recognition, and relates to the technical field of mechanical state monitoring. Comprising the following steps: synchronously acquiring a load torque signal and a lubrication state parameter signal of a transmission system and vibration acceleration signals of a plurality of measuring points through a signal acquisition module; the working condition decoupling characteristic generation module carries out time-frequency analysis on the vibration signal, calls a pre-stored load disturbance spectrum template according to a load torque signal to carry out adaptive differential processing so as to eliminate load fluctuation interference, and calls a correction rule set according to a lubrication state parameter signal to carry out form recombination on the signal so as to compensate the lubrication state influence; and finally outputting a working condition decoupling feature representing the health state of the mechanical part. And the trend prediction module calculates and obtains fault development trend and residual life estimation data through a pre-trained fault prediction model. According to the method, the dynamic characteristics representing the essential degradation of the part are effectively extracted, and the accuracy and reliability of fault trend prediction of the mechanical transmission system are improved.

The invention discloses an information acquisition and transmission system of track control equipment, which relates to the technical field of track traffic intelligent monitoring and comprises an intelligent sensing terminal, an edge intelligent analysis node, a safety communication module, a central control platform, a digital twin diagnosis center and a predictive maintenance engine. According to the invention, the intelligent sensing terminal integrates various sensors, adopts a permalloy shielding cavity to isolate external electromagnetic interference, is equipped with a three-stage lightning protection circuit to realize microsecond-stage lightning surge protection, can stably collect parameters of track control equipment in a severe environment, is internally provided with a lightweight LSTM model, carries out preliminary filtering analysis on original data, and is used for monitoring the parameters of the track control equipment. The device operation state can be dynamically identified, the sampling strategy can be adjusted, the basic sampling frequency is maintained in the stable state to reduce power consumption, the sampling frequency is improved by 10 times and the sensor gain is enhanced in the early warning or emergency state, all analysis decisions are completed at the local millisecond level without depending on the cloud, and the real-time performance and accuracy of data processing are effectively improved.

The invention relates to the technical field of network security, in particular to a cloud data secure transmission system and method based on a quantum encryption technology. Comprising a quantum key generation and management unit used for generating a physical layer security key, realizing key true random generation through a quantum state unclonable principle, and optimizing key negotiation efficiency by adopting an improved adaptive basis vector matching algorithm; a data transmission encryption unit; a physical layer safety monitoring unit; and a channel fusion switching unit. According to the method, the physical layer security key is generated based on the quantum state unclonable principle, the dependency limitation of a traditional encryption algorithm on mathematics is broken through, and the cracking risk of quantum computing on bottom layer encryption logic can be reduced; according to the invention, photon polarization state parameters are collected in real time through the physical layer security monitoring unit, the eavesdropping behavior is detected based on the preset error rate threshold, real-time perception of the eavesdropping behavior in a transmission link is realized, and the defect that the security state of the physical layer cannot be perceived in real time in a traditional scheme is overcome.

The invention relates to the technical field of unmanned aerial vehicles, in particular to an intelligent dynamic pilot frequency networking system and method for an image transmission module MESH ad hoc network. The method is based on spectrum fingerprint features, combines a real-time interference topological graph constructed by interaction of neighborhood nodes, identifies a conflict frequency set needing to be evaded through multi-dimensional weighted evaluation, and dynamically generates a pilot frequency strategy table containing main and standby frequencies and a switching threshold value by using a frequency hopping decision engine according to the conflict frequency set and a preset legal frequency pool. Synchronizing the pilot frequency strategy table to an associated relay node, generating a link stability evaluation matrix and feeding back the link stability evaluation matrix to a frequency hopping decision engine; and correcting a frequency switching threshold value and an alternative frequency weight in the pilot frequency strategy table based on the link stability evaluation matrix. According to the invention, the spectrum utilization efficiency of the unmanned aerial vehicle image transmission system can be improved, the stability and reliability of a multi-hop link are ensured, the networking time delay is reduced through a distributed decision-making mechanism, and an effective solution is provided for high-quality wireless transmission in a dynamic topology environment.

The invention relates to the technical field of direct current motor servo drive control, and provides a Zynq AXI4 bus-based real-time transmission system and a control method thereof, and the system comprises a Zynq system on chip, a DDR3 common data area, an AXI4 bus interconnection architecture and a dynamic partition manager. By implementing the scheme, firstly, the multi-channel characteristic of the AXI4 bus is utilized, special transmission channels are distributed for different types of data, and parallel data interaction is realized; secondly, a dynamic partition manager is deployed at a PL end, a DDR3 public data area is dynamically divided into a plurality of partitions in real time according to needs, multi-task parallel is achieved, and the real-time performance of the system is improved; thirdly, the read-write operation on the DDR3 in each control period is split into a plurality of state machines through precise scheduling of the state machines, the state machines are combined into a state loop to be mounted to an AXI4 bus, it is ensured that key tasks are completed on time, and the certainty of the system is improved; fourthly, the size and the number of partitions in the DDR3 are dynamically adjusted through a dynamic partition manager, and the storage efficiency is improved.

The invention discloses a secure transmission system based on a multimedia short message, and relates to the technical field of communication and network security, and the system comprises a protocol stack security reinforcement module which carries out the hierarchical reconstruction of an MMS protocol stack, comprises a preprocessing layer, is used for intercepting and filtering illegal characters, and verifies the legality of a message structure through a finite-state machine; the analysis layer is used for pre-judging memory requirements based on message types and lengths by adopting a dynamic memory allocation strategy; the execution layer is integrated with a null pointer checking mechanism, and the validity of a pointer is forcibly verified before a protocol stack calls a function; the encryption and signature module is used for carrying out end-to-end encryption on a message body and metadata by adopting a hybrid encryption algorithm and carrying out message integrity verification through a lightweight hash tree; and the vulnerability real-time monitoring module is embedded into an abnormal behavior detection model based on machine learning and is used for dynamically identifying memory occupation abnormity and illegal instruction calling high-risk operation when the protocol stack runs.

The invention discloses a railway LEU-transponder transmission system lightning stroke fault risk assessment method, and the method comprises the steps: determining a lightning current invasion path through building a lightning stroke transient electromagnetic disturbance calculation model of an electromagnetic sensitive equipment port, and calculating the voltage and current at the port when incoming waves invade. And building an electromagnetic sensitivity test experiment platform of the railway signal system based on the lightning current invasion path and the voltage and current at the port. And performing label category prediction on the to-be-predicted sample point through each support vector machine model in the target model set, and voting each prediction result. According to the invention, a complex transmission relation between lightning transient electromagnetic disturbance and equipment failure risk is established through deep learning. The fault risk of the signal system under the lightning transient electromagnetic disturbance action is predicted through transient electromagnetic effect experimental data of real equipment of the railway signal system, and powerful support is provided for improving the electromagnetic sensitivity of the signal system and guaranteeing stable operation of a railway.

The invention, which relates to the technical field of hydropower station dam safety monitoring, discloses a hydropower station dam safety monitoring data acquisition and transmission system comprising a cloud twin brain module and edge neurons. The cloud twin brain module comprises a sequence neural network engine and a reflection kernel generation module, the sequence neural network engine adopts a neural network architecture with parallel and cyclic dual representation, comprises a time mixing module and a channel mixing module, and can learn a normal operation mode of the dam from historical monitoring data; and the reflection nuclear generation module compresses the reference twin model into a lightweight reflection nuclear model and issues the lightweight reflection nuclear model to the edge device. The edge neuron comprises a micro-twinborn prediction module and a hierarchical transmission control module, and the micro-twinborn prediction module predicts a theoretical expected value of a dam state in real time and calculates a reflection deviation with an actual observation value; the hierarchical transmission control module implements a three-level response strategy according to the magnitude of the reflection deviation, transmits abstract information according to an abnormal trend, and uploads an emergency abnormality in time.

The application provides a large-span bridge substructure vehicle-fire wind force real-time hybrid test platform and implementation method, the platform comprises a physical loading and transmission system, a T-shaped wind-fire coupling simulation system, a modularized prying integrated system, an intelligent control and calculation system and a multi-dimensional high-precision monitoring system. The method realizes real-time pre-test of the boundary displacement / force of the test piece through the construction of a numerical substructure fast calculation model based on LSTM and converts the boundary displacement / force into a loading instruction to drive the through core jack to realize thermal force coupling interactive loading; the T-shaped wind-fire coupling simulation system reproduces the real vehicle fire scene under the influence of the environmental wind. The test platform supports independent loading of any component of the cable system, can execute open space self-defined fire test and closed space standard fire test, and accurately analyzes the cable failure mode, critical temperature threshold and damage evolution law under fire through the multi-dimensional high-precision monitoring system, thereby providing a high-fidelity test platform and analysis method for fire resistance design of large-span bridges.

The invention is suitable for the technical field of unmanned aerial vehicle information transmission, and provides a self-adaptive multi-unmanned aerial vehicle information transmission system and method based on channel estimation, and the system comprises a channel modeling module, a communication scheduling module, a topology control module and a terminal sensing layer. The channel modeling module is used for estimating and predicting a wireless link state in a complex environment in real time through an improved Kalman filtering method; the communication scheduling module constructs a transmission decision module based on a reinforcement learning strategy, and realizes joint dynamic optimization of a communication link and a task execution path by introducing a Q-learning algorithm; the topology control module introduces a multi-objective optimization strategy based on a utility function to realize dynamic reconstruction of the network topology; the terminal sensing layer is used for multi-unmanned aerial vehicle distributed cooperative detection and multi-modal sensing data fusion; according to the invention, the edge collaborative fusion perception of multiple unmanned aerial vehicles replaces the traditional single-point detection, and the target recognition precision and the shielding robustness are significantly improved.

The invention provides a low-altitude networking of intelligence multipath data transmission system based on MPQUIC, and belongs to the technical field of novel network protocols, and the system comprises a network state analysis module which is used for obtaining the network state indexes of all communication paths of an unmanned aerial vehicle under different position coordinates; the flow scheduling module is used for predicting the track of the unmanned aerial vehicle, scoring the communication paths by combining the network state indexes of the communication paths, and obtaining the communication paths corresponding to the data flows with different priorities of the unmanned aerial vehicle according to the priorities of the data flows with the scores of the communication paths; and the path selection optimization module is used for dynamically adjusting weight parameters in communication path scores based on deep reinforcement learning by taking network throughput maximization and time delay minimization as targets to obtain optimal communication paths corresponding to data streams with different priorities. According to the invention, the problem that the prior art is difficult to have high reliability and low time delay due to the dynamic change of the network environment caused by the position change of the unmanned aerial vehicle in the low-altitude Internet of Things is solved.

The invention relates to the technical field of semiconductor manufacturing, in particular to a wafer pre-alignment device and method, and the device comprises a mounting platform, an XY motion platform, a rotating platform, a suction cup, and an edge detection assembly. The method comprises the steps of device correction, coarse scanning and circle center positioning, fine scanning and notch accurate positioning and alignment execution. Through software and hardware cooperation, online self-correction is used for eliminating system errors, high-order fitting and feature screening algorithms are used for restraining random errors and model errors, the repeated positioning precision, notch orientation precision and equipment consistency of the wafer pre-alignment device are improved, and the high-precision requirement for a wafer transmission system under the advanced manufacturing process can be met.

The invention discloses an X-ray detection device and method for detecting a PCB, and the device comprises a housing, and an X-ray emission source transmission system, an X-ray detector transmission system and a PCB conveying system which are disposed in the housing. The X-ray emission source transmission system is high in X-ray emission source transmission speed, high in precision and small in vibration quantity, the X-ray detector transmission system is high in X-ray detector transmission speed, high in precision and small in vibration quantity, the PCB conveying system can automatically input and output PCBs, the height of the PCBs can be automatically adjusted, and the PCB conveying efficiency is improved. The PCB conveying system can adapt to PCBs with different width sizes, and can be prevented from blocking X rays.

The present invention belongs to the field of steel structure building construction detection. Disclosed are a prefabricated steel structure welding data transmission system based on digital twin, and a method. The prefabricated steel structure welding data real-time transmission system based on digital twin comprises an unmanned aerial vehicle, which is used for flying to a high point of a prefabricated steel structure, wherein an RFID tag positioning identifier is provided at the top of the unmanned aerial vehicle, and is used for identifying RFID tags attached to edges of welding positions. By using an image registration and superposition module, an image, which is processed in real time, is matched and superposed with ultrasonic feedback array points having array point coordinate information; and by means of a result generation module, defective parts are marked on a matched and superposed image which has array point coordinate information, and continuous welding seam length data, height difference data between adjacent array points and a lack-of-welding length value are attached, such that a welding seam quality inspection error is avoided, and the defect situation of each welding point can be effectively uploaded to a computer for checking, thereby avoiding the quality problem of a steel structure building that is caused by an error of a welder.

The invention discloses a high-precision laser double-loop tracking system suitable for a long-distance moving target and a control method, and relates to the field of laser tracking of moving targets. According to the high-precision laser double-loop tracking system suitable for the long-distance and moving target and the control method, the coarse and fine composite axis double-closed-loop tracking control system of the energy charging target and the miss distance time delay compensation system of the energy charging target are effectively combined; the problem of high-precision laser tracking of a long-distance (greater than 100 meters) moving target is effectively solved. The problem of low energy transfer efficiency caused by low tracking precision in an unmanned aerial vehicle laser wireless energy transfer system is solved, and high precision, high real-time performance and high interference resistance of unmanned aerial vehicle laser energy transfer are realized.

The invention provides a distributed feedback laser with a double-layer grating structure, and relates to the technical field of lasers, the laser forms an InGaAlAs multi-quantum well active region, an upper sampling grating layer and a lower phase shift grating layer on an n-type InP substrate in sequence, the upper grating layer is designed based on a reconstruction equivalent chirp technology, and the lower phase shift grating layer is designed based on a reconstruction equivalent chirp technology. Two sections of asymmetric modulation areas with sampling periods linearly gradually changing in opposite directions are arranged in the axial direction of the resonant cavity, and the lower grating layer is a quarter-wave phase shift grating matched with the period of the upper seed grating. Through the synergistic effect of equivalent phase modulation and phase shift generated by the double-layer grating, the photon density distribution in the cavity can be improved, the longitudinal space hole burning effect can be weakened, the sensitivity to end face phase fluctuation can be reduced, high single-mode power and large modulation bandwidth can be realized in a wide temperature range, and the double-layer grating is suitable for a high-speed optical communication and coarse wavelength division multiplexing transmission system.

A four wire-to-two wire lamp control signal transmission method includes: level states of lamp control signals in a four-wire system being synchronously sampled within a preset sampling period, a preset converted signal corresponding to control information carried by the level states of the lamp control signals being generated and encoded to obtain a coded signal superposed onto integrated electric power of the four-wire system to form composite electric power transmitted by a two-wire system to drive a load. Lamp control signal transmission can be achieved without sampling lamp control signals within a complete period. The level states of the lamp control signals are transmitted in the form of the preset converted signal, such that the data transmission quantity can be reduced, and the signals can be transmitted approximately synchronously, solving the problem that a lamp fails to be driven in case of a low duty cycle of lamp control signals.

The invention discloses a fault processing method for an offshore wind power direct current parallel sending-out system through a DRU-MMC. The fault processing method comprises the steps that direct current energy consumption devices are arranged at direct current outlets of respective land MMC converter stations of a DRU-HVDC system and an MMC-HVDC system; when the alternating current power grid at the receiving end has an alternating current fault, the direct current energy consumption device is controlled to adopt a direct current voltage suppression strategy; when the DRU-HVDC system and the MMC-HVDC system respectively have direct current faults, different locking and circuit breaker disconnection time sequence control strategies are adopted, and in the direct current fault ride-through period, a direct current suppression strategy and a direct current voltage suppression strategy are controlled to be adopted by a direct current energy consumption device of the DRU-HVDC system. Therefore, the fault ride-through capability of the DRU-MMC direct current parallel sending-out system of the offshore wind power can be effectively improved, and stable operation of the system is ensured.

The invention relates to the technical field of signal processing and state monitoring, in particular to an intelligent lubricating state monitoring method based on oil-impact pulse, which comprises the following steps of: constructing a'fluid-solid-heat-electricity 'multi-field coupled particle double-electric-layer electrostatic model, and forming a particle electrostatic characteristic analysis and monitoring method; oil physical and chemical property parameters and mechanical equipment transmission system gear impact pulse characteristics in different lubrication states are collected in real time, an oil-impact pulse-lubrication state correlation model is constructed, and a gear transmission system lubrication state monitoring method is formed in combination with a signal processing method and a deep learning algorithm. According to the invention, the real-time performance and comprehensiveness of lubrication state evaluation are enhanced, and the work and maintenance efficiency of equipment is also improved.

The invention provides an air-ground integrated reconfigurable intelligent surface energy transmission system, and belongs to the technical field of wireless power supply systems, and the system comprises a visual perception module which is used for obtaining image information of a monitoring area, carrying out the recognition and positioning of an energy receiving target based on the image information, and outputting a target coordinate; the control calculation module calculates phase regulation and control parameter coordinates required for driving the reconfigurable intelligent surface based on the received target; the energy transmission module dynamically adjusts the wavefront phase of the electromagnetic wave based on the phase regulation and control parameter coordinates to form an energy focus point at the position of the energy receiving target; the energy receiving module is arranged on an energy receiving target and used for receiving the electromagnetic energy at the energy focus point and converting the electromagnetic energy into direct-current electric energy. According to the invention, the three technical fields of high-precision real-time sensing, intelligent signal processing and advanced electromagnetic beam control are deeply integrated, and remote, high-efficiency and automatic charging for a plurality of freely moving devices is realized.

The invention discloses a low-orbit communication satellite load multilink cooperative transmission system, relates to the technical field of satellite communication, introduces a prediction-based active switching management mechanism, and effectively overcomes the inherent defects of a traditional passive switching mode in a high-speed moving scene. A continuous and stable optimal service satellite sequence can be prospectively planned for the user terminal, and resource negotiation and reservation with subsequent satellites are completed in advance; the blind switching and the ping-pong effect of the user terminal caused by instantaneous signal fluctuation at the coverage edge of a plurality of satellite signals are avoided from the source, unnecessary switching signaling interaction is greatly reduced, and the load of a network control plane is reduced.

The invention relates to the technical field of ink-jet printing, in particular to a multi-station collaborative operation ink-jet printing intelligent production line and a control method. According to the technical scheme, the system comprises a multi-station module, a cooperative transmission system, a sensing monitoring system and a central control unit, the multi-station module sequentially comprises a feeding station, a preprocessing station, a printing station, a curing station, a quality detection station and a discharging station, and the cooperative transmission system is composed of a two-way circulating conveying belt and a multi-degree-of-freedom mechanical arm; the sensing monitoring system is used for collecting workpiece, environment and injection state data and transmitting the data to the central control unit. The control method comprises the steps of data collection and environment monitoring, production task modeling, path optimization and task allocation, parallel scheduling and conflict avoidance, defect detection and local compensation, and dynamic feedback and parameter adaptive optimization. Through multi-station parallel operation, bidirectional flexible transmission, real-time defect detection and adaptive scheduling optimization, the efficiency, scheduling and finished product quality of the ink-jet printing production line are improved.

The invention discloses a differential signal transmission link, a high-speed differential signal transmission composite chip and an intra-core differential signal transmission link configuration method. A strip line is arranged in a perforated cylinder in a penetrating manner, two differential microstrip lines are horizontally arranged at two ends of the perforated cylinder, one end of one differential microstrip line is connected with the upper end of the strip line, and one end of the other differential microstrip line is connected with the lower end of the strip line; the conductor strip and the two grounding strips in each differential microstrip line are arranged on the total slide glass side by side in the length direction of the total slide glass, the conductor strip is arranged between the two grounding strips, and the multiple capacitors and the multiple inductors are alternately arranged on the conductor strip in the length direction of one side of the conductor strip. The plurality of conductive blocks are uniformly arranged on the conductor belt along the length direction of the other side of the conductor belt; a high-bandwidth storage chip and a GPU chip in the high-speed differential signal transmission composite chip are horizontally arranged on a PCB composite board in parallel, and a differential signal transmission system is arranged among the PCB composite board, the high-bandwidth storage chip and the GPU chip in a penetrating mode.

The invention discloses a gear dynamic parameter in-situ testing device based on wireless power supply. The gear dynamic parameter in-situ testing device comprises a wireless power supply system, a sensor, a data processing system, a data transmission system and an upper computer, the wireless power supply system is used for providing electric energy for the sensor and the data acquisition system; the sensor is used for collecting dynamic parameters of the gear; the data processing system is used for processing the gear dynamic parameters; the data transmission system is used for transmitting the processed gear dynamic parameters to an upper computer in a wireless transmission manner; and the upper computer is used for visually displaying the processed dynamic parameters of the gear. The problem of long-time test operation and maintenance of the rotating gear in a complex narrow space is solved, and long-time in-situ test of dynamic parameters of the gear can be ensured.

The invention relates to the technical field of satellite communication data transmission, and discloses a satellite communication data transmission system of Internet of Things equipment. The environmental parameter acquisition module of the system is responsible for comprehensively acquiring various environmental parameters of the Internet of Things equipment in satellite communication and providing basic data for subsequent analysis. The learning model construction module establishes a data transmission prediction model by using the parameter data. And the transmission quality prediction module estimates the transmission quality of the satellite channel by means of the model. And the data behavior simulation module simulates the dynamic behavior of the data packet in the channel according to the transmission quality estimation result. And the communication scheme optimization module generates a final transmission strategy according to the simulation result and a preset communication target. Through close cooperation of the modules, the system achieves accurate prediction of satellite channel transmission quality, effective simulation of data packet behaviors and optimization of a communication scheme, and plays an important role in data transmission of the Internet of Things.

The invention provides a series-parallel high-voltage direct-current power transmission system transient state control method suitable for sending-end alternating-current faults, and belongs to the technical field of power systems. The method comprises the following steps: constructing a direct-current power safe operation boundary of an LCC converter station by combining LCC rectification side safety constraint and LCC inversion side commutation failure risk constraint conditions; constructing a commutation failure suppression strategy model of VSC and LCC cooperative control; and by using the commutation failure suppression strategy model, after a sending end alternating current fault occurs and is eliminated, controlling and suppressing the commutation failure of an LCC inverter station by using a control strategy of VSC dynamic reactive compensation and LCC trigger angle adaptive adjustment cooperation, and completing commutation suppression of the series-parallel high-voltage direct-current power transmission system. According to the invention, the problem of commutation failure caused by a sending end alternating current fault intensified by the interaction influence of conventional high-voltage direct current and flexible direct current is solved.

The invention relates to an internet-of-things monitoring and early warning system for lake water quality. The internet-of-things monitoring and early warning system comprises a multi-mode intelligent sensor acquisition system, a self-adaptive wireless transmission system, a distributed data storage system, an intelligent data analysis system, a visual interaction system, an intelligent early warning system and a remote intelligent control and repair system. The invention also relates to a monitoring method using the lake water quality Internet of Things monitoring and early warning system. Traditional and innovative sensors are cooperated to comprehensively collect water quality and ecological data, the biosensor accurately detects specific pollutants, the hyperspectral imaging sensor monitors algae distribution and water color change, rich and high-precision data are provided for lake water quality monitoring, the monitoring comprehensiveness and precision are improved, and the water quality monitoring system is suitable for being popularized and applied. The lake ecological protection work is powerfully supported.