2065 results about "Serial code" patented technology

The invention discloses a cloud information system index collection method, system and device and a medium, and relates to the technical field of cloud information system operation and maintaining.The method comprises the steps that information collection interfaces of a cloud system are integrated, data flow information entropy is quantized, and an entropy value sequence is constructed; an interface calling serial number is traced based on a historical log, a calling chain is formed, a directed graph topological structure is established, an influence propagation path of an entropy mutation node is identified, and a collection regulation priority of an interface cluster is determined; an acquisition strategy is formulated in combination with entropy time sequence data and a load level, a state-strategy mapping relation matrix is optimized, and a time period driving type strategy adjustment parameter set is generated; and issuing the strategies in sequence, dynamically regulating and controlling the acquisition frequency, and if state transition or fitting degree abnormity occurs, triggering strategy rollback and optimizing the learning weight. According to the method, on the premise of guaranteeing the integrity of the monitoring data of the power equipment, the utilization rate of edge computing resources is remarkably optimized, and high-timeliness and high-fidelity data support is provided for safe and stable operation of a power grid.

The invention discloses a data slice recombination order-preserving method based on a Beidou short message, which relates to the technical field of data transmission and recombination optimization, and ensures the stability and low error rate of data in the transmission process by dynamically optimizing the size and quantity of slices according to channel bandwidth and delay through a self-adaptive slice adjustment mechanism. A unique serial number identifier and a first check code attached to each fragment are beneficial to identifying data under a complex channel condition, and errors and chaos in a recombination process are reduced. At a receiving end, a conflict analysis model is constructed by analyzing sequence offset and delay conditions of fragment arrival in real time, and a multi-layer correction instruction is provided according to an overall conflict rate and a time sequence consistency coefficient. The order-preserving mechanism ensures that the original order of the data can be maintained even in a complex network environment by preferentially processing the unlocked fragment and generating a retransmission instruction of the lost fragment. The combination of dynamic priority adjustment and a retransmission mechanism promotes the structure of the original data after recombination.

The invention relates to the technical field of data integrity protection, in particular to a property right registration core data security protection method based on a block chain technology, which comprises the following steps: acquiring an anchor point on an identity data generation chain, verifying a historical block to construct a topological structure, and matching a permission mapping field write-in path. And verifying the node permission and generating a data integrity verification report. According to the method, identity anchoring data is generated by binding a registrant identity credential with an address on a chain, structured identity mapping is realized, historical blocks form a logic closed loop through pointer and serial number verification, the integrity of data circulation is enhanced, a field access boundary is established by matching a field set with a node identifier through an authority level, and the accuracy of access control is enhanced. Field contents are written into nodes according to an addressing protocol and a distributed path index is generated, the flexibility and addressability of data positioning are improved, a verification link is fused with a certificate and an authority label to match and screen credible nodes, and integrated verification of path compliance and access security is realized.

The invention provides an FPGA program loading and updating method and system, and relates to the technical field of FPGA configuration management. The FPGA program loading and updating method comprises the following steps: S1, based on an RS422 physical layer protocol, adopting a self-adaptive block verification algorithm, acquiring a signal-to-noise ratio parameter in real time through a channel quality monitoring module, dynamically adjusting the size of a data packet, and implementing a double-buffer alternate receiving mechanism; and verifying each data block by using cyclic redundancy check and serial number continuity detection, discarding abnormal data packets with bit error rates exceeding the limit, and generating a data block set passing verification. Through combination of an adaptive block check algorithm and channel quality dynamic monitoring, real-time optimization and adjustment of the size of a data packet in a transmission process are realized, transmission requirements in different channel environments are effectively adapted, the data retransmission probability is reduced, and through cooperative application of a double-buffer alternate receiving mechanism, cyclic redundancy check and a serial number tracking technology, the transmission efficiency is improved. And continuity and integrity of data receiving are ensured.

The invention relates to a data packet transmission method and device, computer equipment, a computer readable storage medium and a computer program product. The method is applied to a receiver and comprises the steps that under the condition that configuration information of the receiver supports a custom extension header, a first data packet in a sending window is acquired through a transmission channel, and the first data packet carries a serial number and the custom extension header; the user-defined extension head comprises a step length; and under the condition that an out-of-order data packet is received, writing the out-of-order data packet into the corresponding first storage position according to the serial number of the out-of-order data packet, the serial number of the first data packet, the step length and the length of the custom extension head, and returning a confirmation signal of the out-of-order data packet through the transmission channel. By adopting the method, the transmission efficiency of the out-of-order data packet can be improved.

The invention discloses a multi-agent interaction TOKEN compression strategy method and system based on LLMLINGUA, and belongs to the technical field of artificial intelligence and natural language processing. Aiming at the problems of high communication load and difficulty in semantic recovery caused by high-frequency interaction in a multi-agent system, the invention adopts the following technical scheme: inputting text data, and performing word segmentation and semantic analysis to form a low-dimensional semantic vector; dynamically selecting a compression strategy type according to semantic density and serial number density characteristics; the LLMlingua module is used for carrying out depth coding to generate a low-dimensional semantic identifier; storing the identifier in a dynamic reference library and distributing a unique reference code; reference codes and context information are transmitted among the intelligent agents; self-adaptive grouping is achieved through cosine similarity calculation, similar group debate is skipped, and debate between different groups is triggered; the modules are integrated to a multi-agent system. According to the method, the communication load and calculation overhead are remarkably reduced, semantic high-fidelity restoration is guaranteed, and the system response efficiency is improved.

The invention discloses a control system and method for an automatic beer production line, relates to the technical field of automatic control, is used for solving the problems that state judgment is lagged and abnormal trend is difficult to identify in time, identifies electronic tags of key equipment through an RFID reader-writer, imports models and serial numbers into a database, and automatically associates operation parameters. The distributed sensors collect temperature, pressure, flow and vibration data in real time, the analysis unit calculates the operation deviation and the health degree, a multi-condition control strategy is configured through the programmable logic controller based on the health degree, a time window and a task priority algorithm are combined, real-time data and historical data are compared to recognize abnormity, and the real-time data and the historical data are analyzed. And a fuzzy control algorithm is fused to generate an adjustment instruction, the equipment state is automatically adjusted, time sequence modeling is utilized to analyze whole-process data, a start-stop strategy is formulated, energy distribution and process optimization are performed, and intelligent scheduling and self-adaptive optimization of the beer production line are realized.

The invention discloses a horizontal five-axis turning and milling composite center with a self-adaptive matching system. The horizontal five-axis turning and milling composite center comprises a tool turret, a boring tool mechanism, a tool changing area and a control system. A radio frequency identification reading device is arranged in a tool changing area of the tool turret and the boring tool mechanism, and an RFID chip tag is attached to the outer surface of each tool and used for storing tool serial numbers, specifications and length compensation parameters. And the control system realizes self-adaptive matching and sequential error correction of the cutter and the working procedure through radio frequency identification. The tool changing area is provided with a visual monitoring assembly which comprises a plurality of sets of industrial cameras, an adjustable light source and a structured light stripe illumination module and is used for detecting the clamping posture, the abrasion state and the type of a tool. The system has self-learning and digital twinning simulation functions, and can simulate the motion trail of the cutter and predict the interference risk before the cutter is changed. According to the method, integrated control over automatic tool recognition, posture correction, abrasion detection and path prediction is achieved, and the tool changing precision, the operation stability and the automation level of the horizontal five-axis turning and milling composite center are remarkably improved.

The invention relates to the technical field of data center remote operation, and discloses a data center remote operation method and system based on collection gateway analysis, and the method comprises the steps: obtaining gateway resource data and data flow priority attributes; quantifying according to the resource data to obtain a cache length; when the cache length is greater than a length threshold value, processing by adopting a dynamic load balancing algorithm to obtain a migration data stream; analyzing according to the data stream to obtain a timestamp and a serial number; measuring according to the timestamp and the serial number to obtain transmission delay and packet loss rate; performing evaluation according to the transmission time delay and the packet loss rate, and performing link dynamic switching to obtain a backup transmission path when an evaluation result is a main link fault; according to the backup transmission path, adopting a distributed routing protocol to calculate and obtain a data transmission path; monitoring according to the data transmission path to obtain monitoring data; predicting according to the monitoring data to obtain an adjustment result; and performing optimization according to an adjustment result, and dynamically switching the main link and the standby link to perform data transmission. The method can solve the problem of low overall data transmission efficiency.

The invention discloses a coding and tagging method and system based on urban infrastructures, and belongs to the technical field of unified identification code coding, the realization of the method comprises the following steps: constructing a multi-level coding structure which comprises administrative division codes, facility type codes, unique serial numbers and dynamic attribute extension segments; acquiring real-time state data of the facility through an Internet of Things sensor, and writing key parameters into the dynamic attribute extension section; selecting an adaptive code identification mode according to a facility physical environment to carry out identification deployment; binding the codes with the three-dimensional coordinates of the urban information model to realize digital twinborn mapping; and fault prediction and intelligent decision making are realized through a coding depth integration and AI analysis module. According to the method, the problems of fragmentation, static identification information lag and data islanding of a traditional coding system are solved, the facility positioning efficiency is improved, the operation and maintenance cost is reduced, and reliable support is provided for intelligent management of the whole life cycle of urban infrastructures.

The invention relates to the technical field of identity verification, in particular to an enterprise registration self-service terminal and an identity verification method and system thereof, and the method comprises the following steps: comparing dynamic two-dimensional code parameters item by item based on the enterprise registration self-service terminal, a verification serial number, a card issuer identifier and a validity period, and judging the consistency of each field; and according to the matching of the result and the registration system information, identifying the offset condition of the handling process, and outputting a sequence offset index. According to the invention, through synchronous acquisition of multiple parameters of the identity card, in combination with two-dimensional code dynamic feature comparison and chip data analysis, real-time association of identity data in three aspects of time, source and content is realized, each node is bound with a unique identifier, an equipment source and time sequence relationship, and a node data abstract series full-process log chain is handled; interrupt, offset and risk handling nodes can be positioned in the whole process, a data chain structure supports afterward tracing and node-level traceability, and handling safety, data integrity and traceability are remarkably improved.

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.

A method and an apparatus for recording a cold / hot state of a memory, the method includes: determining a first cold / hot state set, wherein the first cold / hot state set is configured for recording a first cold / hot state type of a reserved memory of a host machine, where a plurality of cold / hot state sets are maintained in the host machine, and each cold / hot state set corresponds to one cold / hot state type; scanning sequentially an item in the first cold / hot state set, wherein the first cold / hot state set includes at least one item, and the at least one item forms an out-of-order array, and each item includes a memory slice serial number, memory size information, a next field and a process field.

The embodiment of the invention provides a cross-network data exchange method, electronic equipment, a storage medium and a program product, and the method comprises the steps: receiving transmission data, determining the identification information of the transmission data according to the service identification, timestamp and segment sequence number of the transmission data, and determining the verification value according to the performance requirement, the security requirement and the data integrity; the hash algorithm is obtained by performing hash operation on the segmented data; according to the identification information, judging whether the transmission data is duplicated data or not; judging whether the transmission data is complete data or not according to the verification value; whether the transmission data is lost data or not is judged according to the segment serial number, if yes, a retransmission instruction is sent to the sending end equipment, the data segments which are repeatedly transmitted can be accurately recognized through the unique identification information, redundant storage and processing are avoided, the data repetition problem is solved from the source, then the integrity of the data is verified according to the verification value, and the data transmission efficiency is improved. And the lost data end is judged according to the segment sequence number, so that the problem of data loss is solved.

The invention relates to the technical field of semantic understanding, in particular to an environmental impact report auxiliary auditing system based on semantic understanding, which comprises a text cleaning module, a chapter segmentation module, a rule generation module, a content auditing module and a result output module. According to the method, the paragraph structure and the layout identification are analyzed in a unified mode, key paragraph types in environmental influence chapters are efficiently recognized, the text integration accuracy is improved by combining inter-paragraph similarity calculation and repetition rate screening, chapter boundary accurate positioning and affiliation adjustment are achieved on the basis of format feature comparison of serial numbers and title styles, and the text integration efficiency is improved. A multi-layer parameter alignment rule set is constructed to support comprehensive verification of standard numbers, monitoring frequencies and periodic elements, an exception labeling mechanism is combined to complete difference item logic judgment and consistency evaluation, an auditing basis with rule driving and data comparison capabilities is formed, chapter positioning precision, element extraction comprehensiveness and logic exception recognition efficiency are improved, and the method is suitable for popularization and application. And the pertinence and the automatic processing depth in the auditing process are enhanced.

The invention relates to the technical field of sensors, and discloses a product counting method and system based on a production line, and the method comprises the steps: collecting an on-off signal when a target product passes through a sensor, building a sensor state array to record the on-off signal of the sensor, determining a sensor serial number corresponding to each sensor, and recording the on-off signal of the target product; and according to the sensor state array, judging whether each sensor sequentially acquires complete on-off signals according to the sensor serial number, when each sensor sequentially acquires the complete on-off signals according to the sensor serial number, determining that the target product is a single workpiece and counting, otherwise, detecting an abnormal sensor, and switching to a redundancy counting mode according to the abnormal sensor so as to count the target products. According to the invention, the method can improve the statistical counting precision of the production line, improves the anti-interference capability of the statistical counting of the production line, improves the counting stability, and reduces the maintenance and management cost of the production line.

The invention relates to the technical field of digital villages, in particular to a digital village construction business data analysis method and system, and the method comprises the following steps: obtaining a field detail comparison mapping role and a label, analyzing the field difference and relation to obtain a field reference set, recognizing the field sequence and relation to obtain a field path sequence column, and obtaining a field path sequence column; and extracting a time position matching stage transaction field processing fragment set, reading a position scanning number to obtain a behavior field structure list, and tracking a field line number extraction text to obtain a business data analysis field set. According to the method, semantic association is established by matching field text content, an attribution level is constructed, a circulation path is restored by relying on field positions, continuous fragments are divided by fusing time intervals and stage identifiers, a parallel advancing track is extracted according to a calling range and serial number arrangement, and context content is extracted by tracking field data lines. A data structure view capable of supporting cross-stage, multi-role and multi-context analysis is constructed, and the coverage range and organization ability of field behavior extraction are enhanced.

The invention discloses a communication network multi-source big data analysis method based on distributed database collaboration, and relates to the technical field of communication data analysis, and the method comprises the steps: 1, generating a session contract number, a table snapshot number, a flow site set and a transaction time point at the start of a session, registering a collaborative metadata table, judging semantic compatibility, and setting a state; step 2, pushing down three anchors to a lake-warehouse, a message bus and a transaction library according to the serial number, performing freezing reading according to the anchors to obtain a lake-warehouse segment, a streaming segment and a transaction segment, performing alignment extraction on a joint feature set in the step 3, generating output through a deterministic operator chain, and storing the extracted joint feature set in a database; the method comprises the following steps: step 1, setting a session contract number, a field source and an operator relationship, reading an anchor code as a blood relationship code and writing the blood relationship code into a result table, and step 2, resetting three anchors and multiplexing a query plan during reproduction verification and cross-domain migration, and integrating blood relationship equivalence, result equivalence, freezing consistency, registration difference and migration fingerprints to realize session-level consistent reading, recalculation and auditing.

The method comprises the steps of dividing a production line logic group through a dynamic load balancing algorithm, allocating hardware resources, and constructing a fault prediction model based on an LSTM neural network to optimize test parameters. Binding the test result, the SPD serial number and the work station ID number, and uploading the test result, the SPD serial number and the work station ID number to an MES system through an asynchronous message queue; the system integrates a modularized test configuration unit, a multi-dimensional data analysis platform, an authority management module and a self-adaptive interface device. According to the invention, high automation and intelligentization of the test process are realized, the test efficiency, the data accuracy and the system safety are obviously improved, the manual intervention cost is effectively reduced, the fault prediction capability is improved, and a comprehensively optimized technical solution is provided for a semiconductor memory test production line.

The invention discloses an identification and verification method and system for a secondary drawing of a transformer substation, and belongs to the technical field of image identification, and the method specifically comprises the steps: analyzing a CAD vector diagram, obtaining four-corner references and pixel coordinates of a scanning graph, building initial mapping of pixels and engineering millimeter coordinates by taking an engineering millimeter coordinate system as a reference, and generating a unified intermediate representation model; constructing a terminal strip parameterization template based on the vector anchor point set and the visual anchor point set; a composite deformation field is calculated through vector-bitmap-vector closed-loop rendering calibration, terminal row alignment and terminal sequence binding are completed in the composite deformation field, and a terminal pixel position-terminal sequence-engineering millimeter coordinate consistent mapping table is formed; comparing the topological netlist to obtain an electrical node corresponding table; and performing source decomposition on the terminal position residual error based on the composite deformation field and generating a self-adaptive tolerance band, and finally executing wiring verification by taking the self-adaptive tolerance band, the electrical connectivity and the serial number consistency as criteria and outputting a verification report.

The invention relates to a data processing method and device, computer equipment, a computer readable storage medium and a computer program product. After first matrix data is obtained, tensor data to be processed are obtained, and the tensor data are distributed to a plurality of calculation units; calculating a local feature value corresponding to the target calculation unit according to the local tensor data allocated to the target calculation unit; dividing the target calculation unit into data blocks corresponding to the number of the plurality of calculation units; according to the serial number of the data block, mapping the local feature value recorded in each data block to a target storage block of a target memory until the local feature value in each calculation unit is distributed to the corresponding storage block in the target memory, and obtaining a global feature value table; according to the global feature value table, feature value calculation is carried out to determine the target feature value, conflict-free parallel calculation is achieved, the utilization rate of calculation resources is increased, and the data processing efficiency is improved.

The invention discloses a large file concurrent uploading method and system based on a dynamic fragmentation strategy and resource optimization, and the method comprises the steps: a client generates a file fingerprint according to the file size of a large file and metadata, and dynamically calculates the fragmentation size of the large file; the client carries out fragment cutting on the large file according to the calculated fragment size, establishes a concurrent uploading queue and uploads a plurality of fragments to a server side in parallel; the server selects an optimal storage node to store each fragment based on a consistent hash ring and a multi-dimensional weight model; the client side and the server side track a fragment uploading state through a fragment serial number and a cyclic redundancy check (CRC) value, and after all fragments are uploaded, integrity check and logic recombination are carried out; and when network interruption or uploading failure is detected, the client side and the server side execute an intelligent retry strategy or a splitting rescheduling strategy of breakpoint resume and failure fragmentation.

The invention discloses a laser radar multi-channel echo data online processing system, which sequentially comprises a data distribution layer, a data processing layer and a data processing layer, the data distribution layer divides the echo data and then sends the echo data to the data cache layer to extract a local maximum value, a filtered sampling point sub-sequence corresponding to the local maximum value and a serial number of the local maximum value in the corresponding filtered sampling point sub-sequence; and inputting the data to be pre-fitted into a data processing layer for pre-fitting and fitting based on a polarization normal waveform fitting function in sequence to obtain the optimized signal intensity and the optimized waveform center position, thereby further obtaining the channel calculation distance of the target. The invention further discloses a laser radar multichannel echo data on-line processing method. The on-line processing system is used for obtaining the spatial position information, the corrected spectral information and the spectral reflectivity of a target. According to the invention, by adopting an FPGA pipeline processing architecture, efficient online processing of multi-channel echo data of the hyperspectral laser radar is realized.

The invention discloses a data transmission method and computer equipment, and relates to the technical field of data transmission. The method comprises the following steps: acquiring a sending work request containing a local sending queue pair number and a work queue element; querying target sending information by taking a local sending queue number as an index; storing the working queue elements and the target sending information as operation contexts into an internal memory of a network card of a request end, and recording corresponding indexes; assembling a target data packet based on the target sending information and the memory index; receiving a feedback data packet of the target data packet and extracting a memory index and a serial number carried by the feedback data packet; if the feedback data packet is a correct confirmation data packet, judging that the sending of the work request is completed and releasing the context; and if the feedback data packet is a confirmation failure data packet, calculating a retransmission data initial address and organizing retransmission. The technical problem that the effective connection number of network cards is limited by hardware resources in the prior art is solved, and the technical effect of supporting large-scale network parallel communication is achieved.

The invention relates to the technical field of energy storage systems, and discloses a multi-type ammeter mixing method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the ammeter types of a plurality of ammeters connected to the same communication port; configuring a communication address for each electricity meter according to the type of the electricity meter and a preset serial number or configuring a communication address for each electricity meter according to an address label; and establishing communication for each electricity meter according to the communication address. According to the invention, the same communication port can be compatible with the access requirements of different types of ammeters, the method is suitable for a complex scene in which multiple ammeters coexist, the tolerance of the energy storage system to different ammeters is improved, and the problem that the same communication port is difficult to adapt to the mixed use requirements of multiple types of ammeters is solved.

The embodiment of the invention discloses a thread coordinate determination method and device, equipment, a storage medium and a program product, and the thread coordinate determination method comprises the steps: determining the three-dimensional size of a thread working group to which a first thread belongs, the sequence number of the first thread in a current round, and the target number of threads which can be processed in each round; determining coordinate conversion values constrained within the target number based on the three-dimensional size and the target number; determining a target conversion result between the arrangement sequence number and the coordinate conversion value from a preset lookup table; the lookup table comprises a conversion result between all values of the arrangement sequence number and all values of the coordinate conversion value; and determining a first three-dimensional coordinate of the first thread based on the target conversion result. Therefore, the determination rate of the thread coordinates is improved to the greatest extent, and the time is saved.

The invention discloses a quick data traceability method and system based on multi-source log analysis, and relates to a data processing system or method specially suitable for administrative, commercial, financial, management, supervision or prediction.The method comprises the steps that firstly, the system responds to a service instruction to generate a transaction receipt containing a unique serial number and service attribute parameters; and establishing an association relationship between the two records and generating a to-be-confirmed record and a timestamp. And sending a service message containing the service attribute parameters to a receiving end. When an ownership right reverse search request of a receiving end is received, the system calculates an effective time interval based on current time and a preset time delay threshold value, and screens out a target to-be-confirmed record which is matched with a service attribute parameter and generates a timestamp in the interval. And finally, extracting the unique serial number from the target record, generating a confirmation receipt and sending the confirmation receipt to a receiving end system. The method is used for reducing the calculation overhead and false alarm rate of accurately positioning specific abnormal transactions in massive logs by a system, and improving the confidence and timeliness of an automatic traceability result.

The invention relates to the technical field of digital twinborn management, and discloses a full-life-cycle digital twinborn management system and a modeling method. A model driving unit; a decision optimization unit; and a credible evidence storage unit. The modeling method comprises the following steps: S1, analyzing a product design bill of materials; s2, establishing a topological mapping relation between the sensor nodes and the virtual model area; s3, running Monte Carlo simulation to predict the defect probability; and S4, binding and uploading the new virtual model version and the physical product serial number. Aiming at the problem of data dispersion in the prior art, the system automatically converges three types of heterogeneous data of geometric dimension design, working condition manufacturing and maintenance monitoring into a shared cache pool through a main data table of a unified metadata structure, so that cross-stage semantic alignment and time sequence synchronization are realized, data format difference is eliminated, and data consistency is remarkably improved.

The invention relates to a low-orbit satellite short burst signal high-precision capturing method and device, equipment and a medium. The method comprises the following steps: sequentially carrying out digital down-conversion and L-time signal pseudo code rate down-sampling on a low earth orbit satellite short burst signal sequence sampled by an ADC (Analog to Digital Converter) to obtain a down-sampled signal sequence; performing pre-accumulation processing on the down-sampling signals of every adjacent L points in the down-sampling signal sequence, and performing coarse capture on the pre-accumulated signal sequence by adopting a PMF-FFT algorithm to obtain a coarse pseudo code phase and a coarse frequency offset value; and performing serial code phase search on the down-sampling signal sequence based on the coarse pseudo code phase and the coarse frequency offset value, optimizing to obtain a fine pseudo code phase, and optimizing the estimation precision of the coarse frequency offset value according to the fine pseudo code phase and a frequency offset estimation algorithm based on a phase relation to obtain a fine frequency offset value. By adopting the method, the acquisition precision and speed of the short burst signal of the low-orbit satellite can be improved.

The invention discloses an RDMA Chain-based LSM Tree key value type database access method. The method comprises the following steps: a database client sends a request containing a version number, a key and an operation type to a database server main node; the server main node analyzes the request and processes the request according to the operation type; during write operation, a new serial number is generated, and data is inserted into a skip list of a memory table MemTable; when reading operation is carried out and the version number is smaller than 0, whether a key exists or not is checked through a Bloom filter, if yes, query is carried out at a secondary node through the RDMA technology, and if not, an SSTable file in a disk is directly accessed; and when the reading operation is performed and the version number is greater than or equal to 0, preferentially searching the data of the corresponding version in the MemTable, and if the data of the corresponding version fails, querying the SSTable. Through the RDMA technology, CPU occupation and network round-trip time are reduced, and the response speed and concurrent processing capacity of the system are improved.