1535 results about "Transmission channel" 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 provides a service data security protection method and system for digital enterprise management, and the method comprises the steps: obtaining an access request sequence initiated by a target user at a service operation terminal, generating a dynamic access control strategy vector according to a historical behavior track associated with an access operation identifier, and carrying out the dynamic access control strategy vector; analyzing the dynamic access control strategy vector through a strategy decoder, and generating a real-time access permission instruction; based on the real-time access permission instruction, performing homomorphic encryption mapping on a sensitive data segment in the request context information to generate a ciphertext transmission channel, and performing security parameter synchronization on the ciphertext transmission channel and the cross-department conjoint analysis model; and calling a federated learning framework to carry out multi-modal feature fusion on the real-time operation flow of the service operation terminal, generating an abnormal operation confidence score, triggering a cross-level interception protocol when the abnormal operation confidence score exceeds a dynamic threshold, and rolling back the current session state to a security baseline version. According to the invention, the accuracy and response timeliness of anomaly detection can be improved.

The invention provides a data management method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining key value cache data generated by a first type of computing power unit in a pre-filling stage, transmitting the key value cache data to a memory pool, and caching the key value cache data in the memory pool; and in response to a data acquisition demand of the second type of computing power unit in a decoding stage, transmitting the specified key value cache data cached in the memory pool to the second type of computing power unit according to the data acquisition demand. According to the technical scheme of the invention, the memory pool is arranged and the aggregated transmission channel is utilized, so that the transmission efficiency of the key value cache data between the computing power devices is effectively improved, the data transmission delay is reduced, and the network transmission protocol overhead is reduced, thereby improving the data interaction efficiency of the computing power devices in a pre-filling stage and a decoding stage, and improving the user experience. The utilization of computing power resources is optimized, and the throughput and performance of large model reasoning are improved.

The invention discloses an industrial data real-time acquisition monitoring system fusing edge computing and 5G, and belongs to the technical field of industrial Internet of Things. The system is composed of a multi-source heterogeneous data acquisition module, an edge computing node cluster, a 5G communication network and a cloud analysis platform, an edge-cloud collaborative architecture is innovatively adopted, a multi-protocol adapter is integrated to realize unified access of heterogeneous data of industrial equipment, a low-delay transmission channel is constructed by using a 5G network slicing technology, and the heterogeneous data of the industrial equipment is transmitted to the cloud analysis platform. And transmitting the preprocessed data to the edge computing node in parallel. And the edge layer realizes dynamic resource scheduling by adopting a containerization technology, and realizes millisecond-level response and local decision feedback. And meanwhile, through an edge-cloud data synchronization mechanism, a distributed time sequence database is constructed, and visual monitoring and deep analysis of multi-dimensional data are supported. The system improves the real-time processing capability of industrial field data and the reliability of the system, and has the technical advantages of low time delay, high concurrency and optimized resource utilization rate.

The invention provides a safety monitoring method and system for a financial information service platform. Wherein a collaborative encryption transmission channel between a budgeting unit and an auditing department is constructed, a joint key is generated based on a multi-party computing protocol, and the ciphertext operation authority of a sensitive field is dynamically configured; performing ciphertext variance calculation and regression analysis on the encrypted budget execution record through the security operation node, generating a verifiable statistical result, binding the authority, and synchronously updating the sensitive field access frequency; a hierarchical security threat baseline is generated in combination with permission, frequency and historical query records, and cross-project high-frequency query and data operation deviation are associated; and when the query deviates from the baseline, calculating the risk confidence coefficient according to the deviation, triggering multi-party verification path adjustment and collaborative alarm, and dynamically limiting the ciphertext permission of the abnormal query. According to the technical scheme provided by the invention, cross-department data security sharing and dynamic risk collaborative prevention and control are realized.

The invention discloses a graph database query method based on runtime filtering, which belongs to the technical field of graph data, and comprises the following steps: analyzing a graph database query request to obtain an original physical execution plan; identifying each connection operator meeting a runtime filter generation condition as a target connection operator, and verifying that a scanning operator capable of receiving the runtime filter exists at the upstream of the detection side of each target connection operator; a runtime filter transmission channel is established, and the output end of the construction side of each target connection operator is connected to the input end of the corresponding scanning operator; during operation, the construction side operator completes data processing and then sends the data to the runtime filter, and the corresponding scanning operator receives the runtime filter, executes optimized scanning by using the structured storage characteristics of the graph storage engine, and outputs graph elements matched with the runtime filter. According to the method, the RuntimeFilter is introduced into the physical execution plan of the graph database query request, so that the data scanning amount can be greatly reduced, and the query speed is improved.

The invention relates to the field of data storage and backup, and discloses a method and a system for transmitting disaster recovery backup capability of an emergency recovery unit. The method comprises the steps of establishing a quantum encryption transmission channel, monitoring a network index in real time and predicting transmission quality to start preventive optimization, calculating a link quality score to carry out link switching, verifying integrity and consistency of received data and executing retransmission, carrying out multi-mode data backup, and switching to an emergency recovery unit when a main data center fails. The system comprises a quantum encryption transmission module, a transmission monitoring and switching module, a data verification and retransmission module, a multi-mode backup module and an emergency switching and synchronization module. Through the technical scheme, the problems of data transmission security and high efficiency can be effectively solved, the disaster recovery backup capability of the emergency recovery unit is improved, the service continuity is ensured, and the method and the device are suitable for scenes with high requirements on data security and service continuity.

The invention provides a digital twin hydrological station system which is characterized in that the system comprises a layered architecture system and a multi-dimensional safety protection mechanism, the layered architecture system is composed of a sensing layer, a transmission layer, a data layer, a model layer, an application layer and a display layer from bottom to top, the sensing layer comprises a heterogeneous hydrological monitoring equipment cluster, and the transmission layer comprises a heterogeneous hydrological monitoring equipment cluster. The equipment cluster is provided with a water level sensor array, a Doppler flowmeter, a spectrum water quality analyzer and an environment monitoring terminal, and total element acquisition of hydrological element data, equipment operation state data and environment data is realized; the transmission layer adopts a hybrid communication protocol stack, integrates an ultra-short wave communication module, an NB-IoT narrowband communication module and an optical fiber communication module, and constructs a multi-path redundant transmission channel, and a key data transmission channel is configured with a dynamic link selection algorithm; the data layer comprises a distributed storage architecture, adopts a mixed storage mode of a relational database cluster and an unstructured database, and is internally provided with a data cleaning engine and a spatio-temporal data fusion module.

The invention is suitable for the technical field of network scheduling, and provides a network scheduling method and system for hybrid service transmission based on RDMA, and the method comprises the steps: receiving a to-be-transmitted service demand instruction, and determining a corresponding service type according to a service quality parameter in the service demand instruction; matching a corresponding virtual transmission channel for the service demand instruction according to the service type, wherein the virtual transmission channel is used for isolating hardware-level resources of different types of traffic; selecting an optimal transmission path for the flow of each virtual transmission channel according to a preset path evaluation model; analyzing the congestion risk of the optimal transmission path by adopting a prediction model; and dynamically adjusting a flow transmission path according to a congestion risk analysis result, and ensuring the transmission quality of the highest priority service through a hardware-level scheduling strategy. According to the invention, the optimal balance between the service quality and the resource efficiency can be realized in a complex mixed service environment.

The invention relates to the technical field of data processing, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a data processing and analysis method, device, equipment and medium, and the method comprises the steps: obtaining a data source set, and registering a source label and field mapping relation; executing extraction, cleaning, conversion and loading in the data processing assembly line based on the data source set, the source label and the field mapping relation to generate a processing table set; performing quality verification and exception handling on the processing table set to generate a verified processing table set; generating an index cloud based on the verified processing table set and the configuration strategy; the index cloud is pushed to the analysis tool set through the interface transmission channel, and the analysis tool set generates analysis output according to the index cloud. According to the method, through unified data registration, standardized processing and quality verification, the index cloud is generated in combination with the configuration strategy and pushed to the analysis tool set, the analysis result is generated and transmitted, the data consistency is ensured, and the real-time performance is improved.

The invention discloses a data security transmission method and system for hemodialysis equipment, and belongs to the technical field of data transmission. The method solves the problems that an existing method lacks fine management on data sensitivity, high-sensitivity data is prone to being leaked in the data transmission process, and the data transmission efficiency is affected, sensitivity classification standards are established, and the weight and the weight value of each class of standards are defined in multiple dimensions according to privacy, importance and the influence degree; the data is divided into high-sensitivity data, medium-sensitivity data and low-sensitivity data by performing scoring and sensitivity score calculation on various types of data. Various data are encrypted in different modes according to different sensitivity levels, and data transmission is carried out through different transmission channels and security protocols; the safety and confidentiality of the hemodialysis data in the transmission process can be effectively improved, and high-sensitivity data leakage is prevented; meanwhile, the transmission efficiency of the hemodialysis data is improved, and the flexibility of data transmission is enhanced.

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 relates to the technical field of finished automobile manufacturing, and discloses a finished automobile assembly state intelligent detection method and system based on multi-source data fusion. The method comprises the following steps: deploying a multi-source data acquisition unit, and fusing vision, force sensing and radio frequency identification data to determine a component assembly state and a process parameter deviation; a multi-dimensional verification rule is generated through the virtual assembly verification model for assembly consistency judgment; constructing a hierarchical decision-making system, and dynamically generating a node detection strategy according to the real-time data quality and the environmental interference level of the M detection analysis nodes; comparing the assembly states of the components and then outputting a finished automobile assembly quality evaluation result; and an encrypted data transmission channel is established, and node verification and intelligent detection are carried out on an evaluation result. The method integrates multi-source data, dynamically adjusts the detection strategy, guarantees the data safety, improves the precision and adaptability of the whole vehicle assembly state detection, and is suitable for a complex whole vehicle assembly scene.

The invention relates to the technical field of information, and mainly aims to guarantee the communication continuity and data integrity of villages in remote mountainous areas. The invention provides a multidirectional communication data forwarding method and system, and the method comprises the steps: obtaining terrain elevation data and mountain surface reflection characteristics, constructing a three-dimensional terrain simulation environment, calculating an initial visible range between communication nodes, and obtaining a preliminary signal propagation interference distribution diagram; obtaining signal time difference data of each path in the preliminary forwarding path scheme, and generating an optimized forwarding path set; monitoring the distribution change of communication nodes of the forwarding path set in real time, continuously monitoring the change trend of signal propagation interference, determining signal loss rate data in a path execution process, and generating a stable communication transmission channel; according to a stable communication transmission channel, a signal time difference change trend in a path switching process is analyzed, and a switching time interval, a signal strength threshold and a node load balancing coefficient of path switching are determined.

The invention discloses a data interaction self-adaptive method for a photovoltaic protocol converter, and particularly relates to the technical field of power grid dispatching cooperative control. The method comprises the following steps: monitoring and calculating a voltage instantaneous change rate of a grid-connected point of a power grid in real time, and comparing the voltage instantaneous change rate with a threshold value; when a threshold value is exceeded, synchronously collecting a current phase and generating a voltage and current phase difference change direction; extracting a voltage high-frequency component, analyzing frequency band energy distribution through wavelet packet decomposition, and calculating a Shannon entropy representing an energy concentration ratio; when the phase difference change direction accords with a preset power grid short-circuit fault feature and the Shannon entropy value is lower than a preset entropy threshold value, determining that a power grid transient event occurs; at the moment, a data caching mechanism of the protocol converter is stopped immediately, and a real-time stream transmission channel is activated; an emergency control instruction issued by a power grid dispatching system is directly transmitted to the photovoltaic inverter through the channel; and when the voltage instantaneous change rate is continuously lower than the preset threshold value for a preset duration, recovering the data caching mechanism of the protocol converter.

The invention relates to the technical field of precision agriculture monitoring, and discloses a precision agriculture monitoring system based on adaptive wireless communication. The system comprises a multi-source environment acquisition module, a communication protocol adaptation module and a crop state evaluation module. The multi-source environment acquisition module acquires soil humidity data, illumination intensity data and meteorological parameter data through wireless sensor nodes deployed in a farmland area, and performs timestamp synchronization on the data to ensure the consistency of the data in time dimension. And the communication protocol adaptation module dynamically selects a wireless transmission frequency band according to the synchronous data volume, allocates communication time slots based on the data priority, and generates adaptive transmission channel parameters so as to cope with the communication requirements in the data volume fluctuation and complex environment. The crop state evaluation module receives the transmission channel parameters, analyzes the real-time environment data flow, and divides the current crop growth state into a growth standard state, a growth lag state or a growth fluctuation state. The system provides support for fine management of agricultural production.

The invention relates to the technical field of high-frequency multichannel synchronous transmission, in particular to a time domain reflection compensation design method for high-frequency signal transmission loss, which comprises the following steps of: 1, responding to a synchronous trigger signal to generate an active reflection reference signal with a determined time domain position; 2, aligning time marks between channels through cross-correlation operation; 3, extracting a reflection feature template of the channel from the alignment signal, and recognizing and eliminating crosstalk components through convolution operation with an adjacent channel template; 4, constructing a time-varying transfer function model according to the amplitude envelope attenuation characteristic and the carrier phase jump characteristic of the reflection characteristic template; and 5, generating a compensation filter based on the time-varying transfer function model, and verifying the compensation effect through secondary reflection. Through cross-correlation operation, accurate alignment of multi-channel signal time scales is realized, the time delay difference between different transmission channels is overcome, signal synchronization of each channel is ensured, and the beam forming precision is improved.

The invention discloses a video monitoring system, a video monitoring method and a spherical camera. The system comprises an edge computing node cluster deployed in a monitoring area, and a heterogeneous computing unit integrating a GPU (Graphics Processing Unit) and a DSP (Digital Signal Processor), a 8K image sensor and a cache unit are arranged in the ultra-high-definition video acquisition module; the multi-type environment sensor array is connected with the edge computing node cluster through a high-speed interface and collects multi-dimensional data such as temperature, sound and vibration. Constructing a hierarchical transmission channel based on a 5G network slicing technology; a cloud distributed computing platform extracts video dynamic features through a space-time convolutional neural network, and constructs a fusion decision tree model driven by mutual information in combination with sensor spectrum analysis. Through edge-cloud cooperative computing, dynamic feature optimization and high-precision space-time calibration, the technical bottlenecks that a traditional monitoring system is poor in real-time performance and rough in multi-source data fusion are solved, the anomaly detection accuracy and response speed in a complex scene are remarkably improved, and the method is suitable for the fields of smart cities, industrial security and protection and the like.

The invention provides a wafer carrying device for a vertical furnace, and belongs to the technical field of wafer carrying. In order to solve the problem that an existing wafer carrying device is low in carrying efficiency, the wafer carrying device for the vertical furnace comprises a box opening platform, a first carrying mechanism, a transfer platform and a second carrying mechanism which are connected in sequence. Rapid box opening operation of wafer boxes is achieved through the box opening platform, and the first carrying mechanism can carry the wafer boxes to at least one transmission channel and a plurality of storage stations of the transfer platform firstly, so that the same batch of wafer boxes can rapidly flow between the box opening platform and the transfer platform; and at least one transmission channel can continuously transmit the wafer boxes, so that the second carrying mechanism can rapidly carry the wafers between the transmission channel and the vertical furnace, redundant wafer boxes can be directly stored on the multiple storage stations, the carrying process is simplified, and the carrying efficiency is improved.

The invention relates to a multi-channel parallel virtual machine online migration method and system based on memory layering, and belongs to the technical field of cloud computing. According to the method, a to-be-migrated virtual machine memory is divided into a static data layer and a dynamic data layer, and the static data layer is directly transmitted to a target end through shared storage; the dynamic data layer is divided into a plurality of areas according to memory addresses, independent transmission channels are distributed for parallel migration, and the sizes of the partitions are dynamically adjusted according to the dirty page rate; calculating an iteration convergence factor in real time, and switching to a post-copy mode and backing up dirty pages to a shared storage when continuous iteration is not converged for multiple times; and recovering data from the shared storage when the network fails, and finally finishing the migration of the remaining dirty pages. Through memory hierarchical optimization, parallel transmission acceleration and a network fault-tolerant mechanism, the problems of low efficiency, iteration divergence and service interruption risks of large-memory and high-write-dirty-rate virtual machine migration in an AI scene are solved, the migration speed and success rate are remarkably improved, and continuous execution of an AI task is guaranteed.

The invention relates to the technical field of wireless communication, and particularly discloses a high-voltage transformer remote metering monitoring system based on 5G network slicing, which senses network performance in real time by constructing a multi-dimensional network state matrix, performs path rehearsal and resource allocation calculation by using a digital twinning technology, and realizes remote metering monitoring of a high-voltage transformer. Generating a candidate transmission path set with optimal time delay consistency and a corresponding wireless resource block allocation scheme; calculating a path resource allocation factor and combining with network load prediction to generate an optimal resource scheduling strategy; and finally, converting the strategy into a specific network control instruction, establishing a special transmission channel with deterministic service quality, and implementing real-time monitoring and maintenance.

The invention relates to a forward millimeter wave radar antenna. The antenna comprises a body, a wide-beam waveguide antenna, a narrow-beam waveguide antenna and waveguide transmission channels, wherein the wide-beam waveguide antenna, the narrow-beam waveguide antenna and the waveguide transmission channels are integrated in the body; the waveguide transmission channels comprise a first waveguide transmission channel and a second waveguide transmission channel; the wide-beam waveguide antenna comprises a polarization conversion structure; the antenna unit comprises a first antenna radiation cavity, a first slot radiation slot and a first opening horn which are connected in sequence, and the polarization conversion structure is connected with the first antenna radiation cavity; a first choke groove; the narrow-beam waveguide antenna comprises a splitter which is connected with the second waveguide transmission channel; the antenna structure array comprises a plurality of sub-antenna structure units, and each sub-antenna structure unit comprises a second antenna radiation cavity, a second slot radiation slot and a second opening horn which are connected in sequence; and the second choke groove is arranged beside the antenna structure array. According to the invention, the requirements of short-distance wide-angle coverage and long-distance high-precision detection are met, and the production cost is reduced.

The invention discloses a partitioned multifunctional metal double-cavity vacuum coating process and system, and belongs to the technical field of material surface treatment. The process comprises the steps of base material pretreatment, double-cavity preparation, vacuum inspection, first cavity bottom layer deposition, vacuum transfer, second cavity functional layer deposition and cooling, the double cavities are provided with corresponding target materials respectively, and parallel operation and vacuum seamless transfer are supported; the system comprises double coating cavities, a vacuum transmission channel, a vacuum acquisition and control module, a coating deposition module, a workpiece bearing module and a process parameter regulation and control module, and each of the double cavities is provided with a multi-target mounting rack and carries a real-time monitoring unit and an intelligent control system. Integrated preparation of the composite film layer and synchronous production of multifunctional workpieces are achieved, operation gaps are eliminated, the compactness and adhesive force of the film layer are improved, parameter deviation and the reject ratio are reduced, and batch production requirements are met.

The invention belongs to the technical field of communication, and discloses a communication system supporting NB-IOT voice service, which comprises a terminal, a base station, a core network and an IMS server, wherein the terminal, the base station and the core network all support NB-IOT voice services, the terminal is connected with the base station through a Uu interface, the base station is connected with the core network and the IMS server through an S1 interface, and the terminal is connected with the core network through an Nas logic interface; the terminal is used for initiating and receiving an IMS voice call, supporting establishment of an SIP session with the AS server to complete IMS signaling connection, and establishing a bearer required by IMS voice. According to the invention, the NB-IOT terminal and the NB-IOT base station support measurement and switching functions, so that the voice service continuity is ensured; qCI1 and 5 voice bearing and SIP session processing are established in an NB-IOT terminal, a base station and a core network, and it is ensured that a transmission channel is established for a control plane service and a data plane service of voice; the base station supports voice uplink pre-scheduling, so that the problem of insufficient uplink scheduling capability of the base station is solved.

The invention provides a parallel world simulation resource dynamic scheduling optimization method and system. The method comprises the following steps: detecting a dependency relationship between tasks in parallel world simulation resources to obtain topological data, and quantifying resource competition intensity and sequence constraint to form an associated feature matrix; a cross-dimension optical signal transmission path is constructed through dynamic change of a programmable photon array analysis matrix, and a low-conflict resource transmission channel map is formed; synchronously processing the matrix and the channel map to generate a global task execution sequence; executing a multi-world resource occupancy operation and generating a resource occupancy relation graph; and calculating a cross-dimension resource conflict probability in the atlas, and dynamically adjusting a task execution sequence to avoid a simulation deadlock risk. According to the method, nanosecond-level dynamic resolution of cross-dimension resource conflicts is realized, the simulation deadlock rate is zeroed, and the task throughput is improved.

The invention relates to the technical field of industrial internet, and particularly provides an industrial internet data encryption transmission method, system and device and a storage medium, and the method comprises the steps: building a plurality of encryption transmission channels between an industrial device and a superior terminal; continuously monitoring a network environment of an encryption transmission channel adopted between the industrial equipment and a superior terminal, wherein the network environment comprises a network quality quantized value, an encryption component capability quantized value and a compliance requirement quantized value; determining an optimal encryption transmission channel according to the network environment, and switching an encryption transmission channel adopted between industrial equipment and a superior terminal into the optimal encryption transmission channel; and acquiring flow fluctuation before and after the encrypted transmission channel is switched, and compensating the flow fluctuation by generating pseudo flow. The real-time performance and the safety of industrial data transmission can be met at the same time, and the data safety is further improved through flow management and control.

The invention provides a communication method and device. The method comprises: a transmitting end device transmits a first optical signal, the first optical signal carrying a tracking and pointing signal, the tracking and pointing signal being used for calibrating an optical transmission channel between the transmitting end device and a receiving end device, the tracking and pointing signal comprising a low-frequency component and a high-frequency component, the low-frequency component being used for the receiving end device to determine a spot position of the first optical signal, and the high-frequency component being used for the receiving end device to determine a spot position of the first optical signal; the high-frequency component is used for the receiving end equipment to determine the power of the first optical signal; the sending end equipment receives first feedback information from the receiving end equipment, wherein the first feedback information is used for indicating to end the calibration of the optical transmission channel; and the sending end equipment responds to the first feedback information, stops sending the first optical signal and sends a second optical signal to the receiving end equipment, and the second optical signal carries the service data. By adopting the method, tracking and pointing can be realized by using the tracking and pointing signal, and the power of the receiving end for receiving the optical signal can be determined, so that the calibration of the optical transmission channel is completed.

The invention discloses a multi-modal data fusion-based steel wire rope detection and real-time transmission method and system, and the method comprises the steps: starting a detection system, collecting a steel wire rope damage detection signal, collecting equipment position and operation state data, constructing an original data set, carrying out the preprocessing, building an incidence matrix, dividing a processing unit, and then extracting features, and forming an initial feature data set. And extracting damage features through a multi-branch network, strengthening the weight of a key region, fusing position and equipment state features through a multi-modal fusion module, generating fusion vectors, classifying and identifying, and outputting a structured detection result. And the acquisition equipment end performs grading processing on the data, distributes transmission channels according to priorities, dynamically adjusts parameters, adds integrity and time sequence identifiers, and the upper computer verifies the data integrity and triggers abnormal supplementary transmission. And the upper computer decodes the data, reconstructs the waveform, gives an alarm in real time in combination with preset parameters, and generates details of damage key information. Reliable technical support is provided for safe operation and maintenance of the steel wire rope in industrial scenes.

The invention relates to the technical field of computer communication and data security, in particular to a cloud storage data encryption and authority management platform which comprises a user side, a transmission channel module, a distributed processing module, a cloud server and a key management module. A user side divides a file to generate sub-file units and encrypts the sub-file units, and a secret key is stored in a hardware security module; the transmission channel module transmits the sub-file units to the distributed storage nodes; the distributed processing module generates extended data and a storage position key; the cloud server manages and ranks the keys; and the key management module generates a combined key and distributes the combined key according to authority. Through the block chain technology and the semantic hiding rule, the original content is disguised in a fragmented manner, and the detection risk is reduced; and a multi-stage key separation and dynamic combination mechanism is adopted, so that full-disk data exposure caused by leakage of a single key is avoided, and the data security is improved.

The invention provides copper slurry and a preparation method thereof, a copper electrode, a solar cell and a photovoltaic module, and belongs to the technical field of conductive materials. The copper slurry comprises a dispersion medium and copper particles dispersed in the dispersion medium, the copper particles comprise first copper particles, second copper particles, third copper particles and fourth copper particles; the particle size range of the first copper particles is 1-10 [mu] m, the particle size range of the second copper particles is 500-999 nm, and the particle size range of the third copper particles is 101-499 nm; the first copper particles, the second copper particles and the third copper particles are elementary copper particles, and the fourth copper particles are cuprous hydride nanoparticles; at least part of the fourth copper particles are attached to the surfaces of the first copper particles and / or the second copper particles and / or the third copper particles. Therefore, the fourth copper particles are interconnected among the three copper particles, more transmission channels are provided, the wire resistance is reduced, and the conductivity is improved.