27results about How to "Ensure uniqueness" patented technology

The invention provides an obstacle association method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining measurement data from at least one sensor, and enabling the measurement data to comprise a plurality of obstacle measurements and detection information thereof; for each obstacle measurement to be associated, selecting a target reference point type from a plurality of predefined candidate reference point types according to detection information of the obstacle measurement to be associated; determining a measurement reference point from the detection information of the obstacle measurement based on a target reference point type selected for each obstacle measurement; determining a matching measure between a measurement reference point and a track reference point based on the measurement reference point measured by the obstacle and the track reference point determined for the fused track; according to the calculation result of the matching measurement between all the obstacle measurements and all the fused tracks, the association relationship between the obstacle measurements and the fused tracks is determined, and the accuracy and the reliability of obstacle association can be remarkably improved by adopting the method.

The invention relates to the technical field of tobacco plant identification and counting, and discloses an unmanned aerial vehicle tobacco plant identification and counting method and system based on improved deep learning, which combines technologies of image classification, image segmentation, feature point extraction, machine learning, target detection and the like with refined intelligent identification of tobacco. According to the method, high-precision image recognition and analysis are realized by utilizing the efficient feature extraction and calculation capability of the method, point plant counting can be accurately performed, the efficiency and precision of agricultural production are greatly improved, the problem of calculation complexity of a traditional method in large-scale high-resolution image processing is solved, and powerful technical support is provided for precision agriculture. Therefore, the invention provides an unmanned aerial vehicle tobacco plant identification and counting method based on improved deep learning target detection and multi-dimensional post-processing, and high-precision and robust detection and counting of tobacco plants in large-scale tobacco field orthoimages are realized by constructing a three-stage assembly line of image preprocessing, improved target detection and multi-dimensional post-processing.

The invention relates to a parking space addressing method, a camera control method and device, computer equipment, a computer readable storage medium and a computer program product. The parking space addressing method comprises the following steps: performing numbering processing on each rod management group in a target parking area to obtain a group number corresponding to each rod management group; according to the position information of each multifunctional rod of each rod management group, determining a sorting sequence number corresponding to each multifunctional rod of each rod management group; for any multifunctional rod, according to the pixel coordinate of each parking space marking frame associated with any multifunctional rod, determining a sorting sequence number corresponding to each parking space associated with any multifunctional rod; and generating a parking space identifier corresponding to each parking space according to the sorting sequence number corresponding to each parking space in the target parking area, the sorting sequence number corresponding to each associated multifunctional rod and the group number to which the multifunctional rod belongs. By adopting the method, the intelligence of a parking space addressing mode can be improved.

The invention discloses a multi-mode operation and maintenance data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: in response to each task request initiated by front-end equipment, generating a task identifier of each task request, the task identifier being a globally unique user experience session identifier; obtaining task operation data of a plurality of modes associated with the task identifier of each task request, wherein the task operation data of each mode is correspondingly acquired from one data source; and with the task identifier of each task request as a main key, aggregating the task operation data of the multiple modals belonging to the same task identifier into the user interaction conversation object corresponding to the task identifier of each task request. According to the technical scheme, the problems of low operation and maintenance data utilization efficiency and low problem positioning efficiency in the prior art can be solved, the scientificity of operation and maintenance decision and the problem troubleshooting efficiency can be improved, and optimization and upgrading of a digital platform and improvement of service quality are promoted.

The application provides a solid state disk power-off data protection and rapid recovery method, relates to the technical field of hard disk data protection, and determines the data update characteristics of the corresponding physical block according to the data state information, determines the write state of the current metadata through the write completion mark in the data update characteristics; if the current metadata has not completed writing, an update protection level is constructed based on the update mapping relationship corresponding to the current metadata, then the current metadata is stored to the image protection area, and the corresponding state mark is updated after the storage is completed; when power is re-applied, the state mark is sequentially verified, if the verification is valid, the recovery process queue is activated in stages according to the update protection level, and the state mark is cleared after the recovery process queue is executed. The application can construct an unforgeable metadata protection mechanism within the limited power-down energy window of the solid state disk, so as to improve the metadata integrity after the abnormal power-off of the solid state disk.

This invention discloses a field-of-view extended solar sensor based on diffraction order multiplexing, comprising a dual-band bandpass filter, a diffractive light introducer, and a color CMOS image sensor. The dual-band bandpass filter selects two separate, preset wavelengths of sunlight for incidence, while the diffractive light introducer diffracts the transmitted sunlight into multi-order beams. The color CMOS image sensor acquires diffraction spot images containing spectral information from both wavelengths. The current effective diffraction order is determined by the mapping relationship between the centroid positions and spot spacing of the spots in the two corresponding wavelength channels and the diffraction order. Finally, the solar vector is calculated using a diffraction optics model. This invention resolves the inherent contradiction between large field of view and high precision in traditional digital solar sensors, effectively overcoming the order ambiguity problem in diffraction-extended field of view. Its lightweight design adapts to high-density integration requirements, providing technical support for spacecraft attitude measurement.

This application discloses a fall detection method based on MQTT-ROS communication bridging and multidimensional statistical features, comprising: acquiring data packets; decoding the data packets; if a human body is in an active state, sending continuous motion sensing states and active states to two sliding window queues of preset lengths respectively; determining whether the active state meets a first preset condition and / or a second preset condition, and simultaneously determining whether the motion sensing state meets a third preset condition and / or a fourth preset condition; if a fall event is determined, modifying the fall state field in the data packet to a valid state and adding a ROS system timestamp; based on the modified data packet, publishing alarm information to the ROS system through a ROS topic, triggering a single-trigger mechanism to shut down the ROS system node, thereby completing the abnormal event response process. This application effectively avoids false fall detections caused by historical data contamination and significantly improves detection accuracy in scenarios with frequent personnel entry and exit.

The present application relates to a kind of structure inference, automatic analysis and standardized output of multi-variant BOM table, belong to electronic manufacturing data processing, table analysis and structured data cleaning field.The present application constructs a set of analysis architecture for multi-variant BOM table by the modular processing link of "title row detection-column head normalization-multi-column identification-variant reconstruction-segment cleaning-intelligent inheritance-standardized output", robustly locates complex table head by strong and weak evidence weighting and verification under-probing mechanism, realizes the split and identification of multiple quantity columns using stop mark and semi-finished product number analysis, and introduces cross-row backfilling and position number inheritance rules under paragraph constraint, effectively solves the analysis problem caused by template difference, multi-column variant and information loss, realizes the automation, precision and standardization of BOM data from messy input to engineering level standardized output, significantly reduces manual intervention and improves data quality.

The invention provides a real-time collaborative Web test capturing method and system based on multi-feature scoring, and relates to the technical field of Web automatic testing. According to the method, the interactive coordinates clicked by the user are obtained, cyclic penetration detection is carried out, and a candidate element sequence is output; then five-dimensional feature quantitative scoring is executed, a scoring result is output to select a target element, a corresponding unique identifier is generated, and a capture event is packaged; a change observer interface is used for monitoring change, and an anti-shake mechanism is combined to perceive the page steady state of the browser, so that when the page is structurally changed or redrawn, a related monitor is awakened, computing power is distributed, a target element is reselected, and a capture event is packaged, and when the page is stable, the capture event is sent to a back-end server. And broadcasting to other cooperation terminals in the same room is facilitated. According to the method, the problems of misalignment of element positioning and low cooperation efficiency can be effectively solved, and efficient real-time cooperation and financial-level data security protection of distributed crowdsourcing testing are realized while system resource loss is reduced.

The embodiment of the invention provides a protection section state-based cross-interlocking concentration area protection turnout locking method, which comprises the following steps that: an ATS sends a route handling command to a CI1 of a first interlocking concentration area to which a route belongs, the CI1 handles the route and feeds back completion information, and then the ATS sends a locking command aiming at a protection section in which the route is positioned to the CI1, the turnout in the protection section is located in a first interlocking concentration area, and the protection turnout is located in another second interlocking concentration area. The CI1 responds to a locking command to expropriate a turnout and a protection turnout, and sends a protection section state set to be locked to the CI2 of the second interlocking concentration area; the CI2 responds to the state to move the protection turnout to a corresponding protection position and sends a turnout driving mark set to be successful to the CI1; and the CI1 responds to the mark, the turnout is moved to the corresponding position of the route, a locking command is executed, and the turnout and the protective turnout are locked. In this way, the efficient, reliable and safe locking process of the protection turnout crossing the interlocking concentration area can be achieved.

The invention relates to the technical field of computer information processing, in particular to a merchant network access processing method and device and computer equipment. The method comprises the following steps: acquiring network access application data and biological characteristic data of a to-be-accessed merchant; generating a network access electronic document based on the network access application data and a preset standard template; performing identity verification on the to-be-networked merchant based on the biological characteristic data; if the identity authentication of the to-be-networked merchant is passed, performing digital signature on the networked electronic document to obtain a signature document; and determining a network access application result of the merchant to access the network based on the signature document. According to the application, the identity of the signature customer can be verified in the network access process of the merchant, the difficulty of arranging, filing and keeping the network access paper materials of the merchant is reduced, and the network access operation process of the merchant is simplified at the same time.

The invention belongs to the technical field of molecular breeding, and particularly relates to a rape SNP molecular marker combination, a 4K liquid phase breeding chip and application of the rape SNP molecular marker combination. The rape SNP molecular marker combination comprises 4387 significantly associated SNP loci aiming at seven key agronomic traits, namely the oil content, the oleic acid content, the protein content, the thousand seed weight, the thioglycoside content, the seed coat color and the single plant yield of the cabbage type rape, and specifically comprises 596 effective foreground loci and 3791 background loci. The rape SNP molecular marker combination can realize accurate detection and genotype identification aiming at seven key agronomic traits. A sample test verifies that the 4K liquid phase breeding chip has the advantages of high site pertinence, high detection accuracy and cost adaptation to breeding practice, can be used for molecular marker-assisted selection of rape varieties, remarkably shortens the cultivation period of high-quality and high-yield rape varieties, and is suitable for a large-scale rape breeding scene.

The application relates to a cable defect detection method and device, computer equipment, medium and product, and relates to the technical field of cable management. The method comprises the following steps: in response to a defect detection instruction for a target cable, acquiring a visible light image and an infrared thermal imaging image, and inputting the images into a defect detection model; the defect detection model is internally provided with a multi-modal weight distribution mechanism for distributing the fusion weights of visible light feature maps and infrared thermal imaging feature maps according to environmental light conditions; the target cable is subjected to defect detection according to a fusion feature map obtained by fusing the fusion weights, and a plurality of candidate detection boxes are obtained; the overlapping degrees of the candidate detection boxes are detected, and in the case that the overlapping degrees exceed a threshold, a target detection box with a confidence value exceeding a confidence value threshold is selected from the overlapping detection boxes; and the target cable is subjected to defect level division based on a defect detection result corresponding to the target detection box. The method can ensure the cable defect detection precision.

The invention discloses a blast furnace feeding data recording method and device, and the method comprises the steps: obtaining ore tank discharging data collected by an ore tank discharging system at a first moment, and storing the ore tank discharging data into a first ore tank discharging array; when the ore tank discharging data in the first ore tank discharging array meets a first preset condition, the first ore tank discharging array is stored in an ore tank discharging batch recording table; acquiring furnace top distribution data acquired by the furnace top system at a second moment, and storing the furnace top distribution data into a first furnace top array; and when the furnace top material distribution data in the first furnace top array meets a second preset condition, based on a comparison result of the ore tank discharging array in the ore tank discharging batch record table and the first furnace top array, storing the material discharging data in the ore tank discharging batch record table into a material distribution record table. According to the method provided by the embodiment of the invention, through step-by-step acquisition, condition judgment and dynamic comparison of the data of the lower system of the ore tank and the furnace top system, accurate recording and efficient management of the material batch data in the feeding process of the blast furnace are realized.

The invention discloses an on-line test method and system based on an electronic tag, particularly relates to the technical field of product identification analysis, and is used for solving the problem of space-time dislocation between an electronic tag reading event and a test data acquisition event caused by movement of a tested object in a continuous movement conveying scene. Motion state information of a measured object is acquired in real time, phase-space reconstruction is performed on the measured object, recurrence plot quantitative characteristics are calculated to evaluate a deterministic chaotic disturbance level, accordingly, a dominant oscillation mode is extracted, and an instantaneous phase of the mode at a label reading and data acquisition event moment is acquired; a phase-locked loop is configured by using a chaotic disturbance level, whether a phase locking state is reached is judged by analyzing phase difference evolution between two phases, and when the phase locking state is reached, a tag identifier is analyzed to call and execute a corresponding test program. And collecting test data, calculating an actual physical point location associated with the data based on the motion state information and the event moment, and finally generating a test data file.

The invention discloses an automatic deployment system and method based on OpenStack, and relates to the technical field of cloud computing infrastructure automation, and the method comprises the steps: automatically discovering a newly added physical server through a PXE protocol, and obtaining server hardware information through an IPMI interface; according to the Kickstart configuration template, through a TFTP / HTTP service, completing unattended operation installation of the operating system for the registered physical server; reading an installed physical server and a node role definition thereof, and automatically distributing and configuring an OpenStack core component; respectively and automatically configuring Neutron network topology and managing and distributing a Glane mirror image based on a resource application of a response user; performing approval control based on roles and workflows on a resource creation request of a user; according to the method, the high reliability of the deployment process is ensured by utilizing a state tracking and anti-reentry mechanism, and the efficiency is remarkably improved.

The application discloses a logistics grading and sorting conveying belt, which comprises a base, a receiving plate and a connecting shaft assembly. The conveying belt is arranged on the supporting surface of the base. The receiving plate is arranged at the discharging end of the conveying belt along the length direction of the conveying belt. The connecting shaft assembly is arranged at the lower side of the conveying belt and the receiving plate respectively. The receiving plate swings around the discharging end of the conveying belt through the connecting shaft assembly. The application creatively adopts a cooperation mechanism of a T-shaped guide plate and an integrated sliding part. A linear driving power (an electric sliding block) is ingeniously converted into accurate swinging of the receiving plate in three different directions through a T-shaped guide plate and intersecting guide grooves on the T-shaped guide plate. The design replaces multiple independent driving mechanisms commonly used in traditional multi-direction sorting with a single driving source (an electric sliding rail and a sliding block) and a simple mechanical structure, greatly simplifies the mechanical structure, reduces the number of parts, and lowers the equipment manufacturing cost and subsequent maintenance complexity.

This invention relates to the field of motorcycle safety control technology, specifically to a motorcycle wireless diagnostic method based on a vehicle controller safety architecture. The method includes: performing HSM verification on a mobile app's wireless diagnostic connection request via the motorcycle's VCM to establish a bidirectional data communication channel; sending the mobile app's private protocol diagnostic commands to the motorcycle VCM via the bidirectional data communication channel; performing protocol mapping and UDS conversion on the private protocol diagnostic commands via the motorcycle VCM to generate a UDS diagnostic request message; sending the UDS diagnostic request message to the target ECU via the motorcycle VCM, causing the target ECU to perform corresponding diagnostics based on the UDS diagnostic request message; and performing private protocol conversion and encryption on the target ECU's UDS diagnostic response data via the motorcycle VCM, and sending it back to the mobile app via the bidirectional data communication channel to obtain the motorcycle wireless diagnostic result. This invention can reduce the cost of motorcycle wireless diagnostics and ensure the real-time performance and accuracy of motorcycle diagnostics.

This invention discloses a video transmission and reception frequency alignment method, apparatus, and system, belonging to the field of video transmission and display control. The method includes: a transmitting end sampling and recording a first timestamp Tn at preset intervals and sending a trigger message; a receiving end receiving the message and latching a second timestamp Rn via hardware; calculating a first difference Dn = Rn - Tn and a difference value ΔDn = Dn - D(n-1); filtering Dn and / or ΔDn; and fine-tuning the local output video clock frequency based on the filtering result to make Dn tend to be constant and ΔDn approach zero, thus achieving frequency alignment. The apparatus includes a transmitting module, a receiving module, a calculation module, a filtering module, a control module, and a judgment module. The system includes a transmitting end and a receiving end. This invention does not require a shared absolute reference clock; the paired timestamp correspondence is clear; it is insensitive to fixed link delays; and it balances smooth video display and sub-frame-level low latency.

The application provides a BIM-based pressurized air supply system diagram automatic drawing and intelligent labeling method and system, which comprises the following steps: a user customizes setting of drawing parameters of the pressurized air supply system diagram; a BIM model is read, and spatial relationship information and geometric attribute information of the pressurized air supply system are analyzed and extracted; according to the drawing parameters and the information extracted from the BIM model, a preset rule library is called, and a two-dimensional system diagram and labeling are generated; whether the generated labeling has overlap is checked, and intelligent arrangement and avoidance of the labeling are realized; when the BIM model is changed, the changed part is automatically identified, and corresponding graph elements and labeling in the two-dimensional system diagram are driven to realize linkage update, so that the diagram and the model are consistent. The application effectively solves the problems of information fragmentation and loss, low collaborative efficiency and the like, breaks through the data flow from the three-dimensional model to the two-dimensional drawing, and significantly improves the design efficiency and the drawing quality.

This invention discloses a blockchain-based post-investment management system for financial equity, relating to the fields of blockchain and financial management technology. The system includes a governance token generation module, a proposal initiation module, a privacy voting module, a liquidation execution module, and a regulatory endorsement module. The governance token generation module issues governance tokens mapping to equity shares on a consortium blockchain; the proposal initiation module creates governance proposals and triggers atomic locking operations; the privacy voting module receives zero-knowledge proofs submitted by shareholders, verifies their control over the tokens, updates the token status to "voted," and accumulates weights; the liquidation execution module updates the token status to "expired" or "valid" at the voting deadline, and determines the proposal's passage based on a comparison of the accumulated weights with a threshold; the regulatory endorsement module receives and associates the signature of the root hash from regulatory nodes. This invention achieves on-chain lifecycle management of voting rights through a governance token state machine, improving the opaque voting process and the difficulty in verifying results in post-investment governance.

The invention relates to the technical field of industrial automation testing, in particular to an industrial control equipment interface testing system, method and platform, and the system comprises a unified configuration management module, a central test scheduling engine, a multi-source test adapter layer and a comprehensive analysis report module. The method comprises the following steps: acquiring configuration information of to-be-tested industrial control equipment, and identifying an interface type and a test parameter; based on the interface type and the test parameter, calling a corresponding interface test strategy for testing to obtain a test result; and generating a comprehensive test report according to the test result. The method has the effect of improving the comprehensiveness and accuracy of the interface test of the industrial control equipment.

The invention discloses a non-contact bank card POS transaction real-time risk control system and risk control method based on rule and MLP neural network collaboration, and the method comprises the steps: presetting a data collection point at a bottom layer of an EMV transaction kernel, and obtaining the time sequence behavior data of a transaction process; constructing a multi-dimensional risk feature vector based on the data; performing parallel analysis by using an MLP model deployed in a terminal security area and a rule engine; outputting a final risk control instruction through a preset decision fusion strategy; meanwhile, an end-cloud collaborative data closed loop is established, data collected by a terminal is transmitted to a cloud end, continuous training and model parameter updating of a model are supported, millisecond risk interception in a non-network connection or high-delay sensitive scene is achieved, the dynamic adaptive capacity to a novel fraud mode is improved through a continuous evolution mechanism, and the risk interception efficiency is improved. The technical defects that a traditional risk control scheme is high in response delay and insufficient in terminal side defense capability are effectively overcome.

This invention discloses a backdoor attack method for deep neural network models, comprising: constructing and pre-training a spatial adaptive feature selection network; processing images by dividing them into blocks and inputting them into the pre-trained spatial adaptive feature selection network, and introducing a weighted ranking mechanism to generate trigger materials; constructing a feature labeling network, inputting labels into the feature labeling network to generate a label mapping map; and generating poisoned samples using the trigger materials and the label mapping map. This invention's deep neural network model backdoor attack method solves the problem of low attack success rate caused by the simple trigger structure and weak spatial adaptability in existing technologies.

The application relates to the technical field of file storage, and discloses an administrative file tamper-proof storage method and system. The method comprises the following steps: associating and coupling content features and structure description information to obtain a digital fingerprint; binding a unique identifier to the digital fingerprint to obtain a feature binding record; block-encoding metadata and the feature binding record to obtain a data block, and storing the data block in a chain based on a blockchain consensus mechanism to obtain a storage chain record; when a target file is accessed, performing multilevel verification on an instant feature digest and the storage chain record to obtain a state verification result; when the state verification result is passed, archiving an access log in the storage chain record; when the state verification result is not passed, locking an access right to obtain a right locking record, and auditing and tracking the right locking record to generate an audit report of the target file; and the application can improve the security of administrative file storage.

The invention relates to the technical field of server NFC security authentication, in particular to a server NFC security management system and method based on a dynamic secret key, and the method comprises the steps: combining a unique hardware response generated by a physical unclonable function with an internal reference clock at a local server, and generating a dynamic initial secret key seed; when an authorized NFC card approaches, a session root key is calculated based on the seed, and the identity of the card is verified. In the key generation process, current system state parameters and network load indexes of the server are introduced in real time to serve as dynamic environment factors. The factor and the identity token are subjected to key derivation function operation to jointly generate a final temporary access key. According to the method, the physical uniqueness of hardware and the instantaneous state of system operation are utilized to ensure that the key generated by each time of authentication has unpredictable and unreproducible characteristics, key leakage and replay attacks are effectively resisted, and the security of physical access authentication is improved.

The application provides a UAV target direction finding method and device based on a multi-band sparse array, comprising: collecting signals of a target through a non-uniform sparse antenna array arranged on the side of a UAV, and sampling the signals to obtain multi-band radio frequency data; obtaining the attitude angle of the UAV at each sampling time, and correcting the multi-band radio frequency data based on the attitude angle; constructing a virtual differential common array based on the corrected multi-band radio frequency data, and performing virtual aperture fusion on the virtual differential common array to obtain a non-hole virtual differential common array; constructing a multi-band joint observation model based on the non-hole virtual differential common array, obtaining a virtual observation vector, and performing weighted sparse reconstruction on the virtual observation vector to obtain the direction finding result of the target. The application improves the problem of limited space on the side of the UAV, and improves the target resolution accuracy.