94results about How to "Guaranteed availability" patented technology

The invention relates to a desensitization method, system, equipment and medium for industrial data, and the method comprises the steps: building and dynamically maintaining an industrial field standard data variable rule table, and defining a desensitization strategy and a sensitivity level matched with specific industrial variables such as temperature, rotating speed and the like in physical meanings, time scenes and node levels of the specific industrial variables; the method comprises the following steps: adding a multi-dimensional identifier to original industrial data, establishing a six-dimensional binding relation model of data variable type-time dimension-node hierarchy-cluster role-sensitive level-rule entry, driving the data to execute a time-coordinated stepped desensitization process in four node hierarchies of a workshop, an enterprise, a park and a cluster, according to the method, refined access control and data decryption fusing time, space and role dimensions are realized according to the model and a full-link tracing log, and the problems that rules and industrial scenes are disjointed, dynamic time adjustment is lacked, cross-node collaboration is insufficient and authority control coarse granularity is caused in the prior art are effectively solved.

The application discloses a reliability simulation method and system for a ship transmission shaft based on deep reinforcement learning, and belongs to the field of ship transmission shaft design. The application organically combines a deep reinforcement learning algorithm with fault features and reliability characteristic quantities, substitutes reliability characteristic quantities of transmission shaft parts into a fault tree for quantitative analysis, calculates state transition probabilities of each node, uses a Markov chain model to summarize state transition rules of each node fault mode to establish a system fault state transition probability formula; a fault mode analysis establishes a fault state space; a probability correlation degree between a bottom event and a top event of the fault tree qualitative analysis constitutes an action space; a reward function weight factor of a Markov decision model is generated through a mathematical relationship of reliability characteristic quantities of each level unit, a reliability simulation event table column is solved and generated, and transmission shaft reliability change conditions can be timely reflected, so that the reliability comprehensive prediction precision of the transmission shaft is greatly improved, and the reliability and availability of the transmission shaft during operation are ensured.

This invention discloses a multi-channel programmable miniaturized high-speed FBG demodulation system and method based on an AWG (Optical Fiber Optic Generator), belonging to the field of fiber optic sensing technology. The AWG-based multi-channel programmable miniaturized high-speed FBG demodulation system includes a high-stability broadband light source module, a low-loss isolation module, a miniaturized programmable fiber optic amplifier, a circulator, a two-stage miniaturized high-speed optical switch, a high-crosstalk AWG module, a photoelectric conversion module, a programmable A / D conversion module, and a core control module. The AWG-based multi-channel programmable miniaturized high-speed FBG demodulation method involves the optical signal entering an FBG sensor array, the FBG sensor reflecting the optical signal, the reflected optical signal entering the AWG module, and the output light undergoing photoelectric conversion to calculate the center wavelength of the FBG sensor. This invention, based on an AWG, improves demodulation accuracy while ensuring the demodulation range, achieving continuous wavelength demodulation within the AWG wavelength range.

The invention discloses a corpus standardized template construction and file automatic generation method and system, and the system comprises a template construction module, a file generation module, a verification module, a user interface module, a storage and management module, an extension and optimization module, and a quality evaluation module. The standardized management of the corpus is realized, the problem that the structure and format of the corpus lacks unified standards in the traditional method is solved, and the compatibility and sharing of the corpus are improved. Meanwhile, data cleaning, format conversion and multi-modal data integration technologies are combined, corpus files meeting template requirements are automatically generated, the data processing flow is simplified, and the risk of data inconsistency or loss is reduced.

The invention provides a vehicle scene reconstruction method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring image data acquired by a vehicle, multi-frame millimeter wave radar data and inertial measurement unit data; when it is recognized that the weather state of the environment where the vehicle is located is severe weather, the severity level of the severe weather is determined; according to the severity level, performing fusion processing on the multiple frames of millimeter wave radar data to obtain accumulated radar data; performing enhancement processing on the accumulated radar data to generate enhanced radar data; performing dedegradation processing on the image data according to the enhanced radar data to generate an enhanced image; and generating three-dimensional scene reconstruction data of the surrounding environment of the vehicle according to the enhanced image, the enhanced radar data and the inertial measurement unit data. Therefore, a stable and accurate three-dimensional scene reconstruction result can be output in severe weather.

This application discloses a Domain Name System (DNS) domain name resolution method and related apparatus, relating to the field of network security technology, used to improve the security and integrity of data in DNS. The method includes: a root server receiving a domain name query request sent by a DNS server, obtaining multiple cipher suites supported by the DNS server from the domain name query request; then, according to the signature algorithms it supports, selecting a target cipher suite from the multiple cipher suites; filtering out target signature algorithms that meet priority conditions from the target cipher suites, and digitally signing the first-level domain name obtained based on the domain name query request according to the target signature algorithm to obtain the signed first-level domain name; finally, sending the signed first-level domain name and the target cipher suite to the DNS server, so that the DNS server can digitally verify the signed first-level domain name based on the target signature algorithm in the target cipher suite to obtain the verified first-level domain name.

The application relates to the technical field of large language model privacy protection, and discloses a sensitive data processing method and system combining privacy scores and dynamic thresholds. The method comprises the following steps: obtaining user input text in a scene dimension, determining each word segmentation and each privacy word of the input text; based on the attention mechanism of a large language model, calculating a basic privacy score of the input text according to the privacy word weight of each word segmentation, calculating an associated risk enhancement score of the input text according to the privacy word co-occurrence frequency of each privacy word pair, and determining a comprehensive privacy score of the input text according to the basic privacy score and the associated risk enhancement score; obtaining historical comprehensive privacy score statistical data in the scene dimension, determining a dynamic threshold according to the privacy word occurrence frequency of the input text and the historical comprehensive privacy score statistical data; and performing corresponding operations on the input text according to the comparison result of the comprehensive privacy score and the dynamic threshold. The privacy safety of a user in the interaction process with a large language model can be effectively protected.

The invention discloses a notarist mechanism-based exchange rate dynamic adjustable cross-chain method and a blockchain cross-chain system, and the method comprises the steps: enabling a transaction sender to exchange funds into cross-chain tokens at an asset manager at first when cross-chain initiation is carried out; and then the cross-chain token is transferred to a target chain in a cross-chain manner by using a Hash time lock contract through the assistance of a notary group. According to the invention, a traditional notarist-based cross-chain mechanism is improved, a new role-fund manager is introduced, and the exchange rate is endowed with a dynamic adjustment capability, so that external market changes can be dealt with in time; meanwhile, a chameleon hash function is used in the scheme, and under the condition that at least one honesty node exists in a payment path, the payment relationship between two transaction parties can be perfectly hidden, so that the relationship privacy of the user is well protected.

This invention relates to a high-voltage interlock precision fault location system and method based on a multi-level resistor network, relating to the field of electric vehicle battery management systems (BMS). The system includes a battery management system and at least two high-voltage connectors. The battery management system is equipped with a resistance detection circuit. Each high-voltage connector contains an interlock resistor with a known resistance value. The interlock resistor is electrically connected to the resistance detection circuit, forming a high-voltage interlock detection loop. The battery management system locates the specific high-voltage connector where the fault has occurred by detecting changes in the resistance value of the high-voltage interlock detection loop. This invention achieves precise fault location, multi-level state identification, and graded safety control for high-voltage interlock faults, significantly improving fault diagnosis efficiency and vehicle availability while ensuring the safety of the high-voltage system.

The application relates to the technical field of archive management, in particular to an electronic archive whole life cycle management method and system, which comprises the following steps: obtaining an electronic archive to be managed and a life cycle stage identifier, matching a corresponding stage management rule set, identifying core and auxiliary management actions; checking the completion of the core action, counting the matching degree of the auxiliary action and judging whether the execution threshold is reached; after the threshold is reached, a stage conversion instruction and an operation list are generated, the stage identifier is updated and the next stage task is distributed. The application helps to overcome the core defects of the lack of stage control in the existing electronic archive management, and improves the accuracy and efficiency of electronic archive management.

The invention discloses a weak measurement-based sapphire low-temperature thermal expansion coefficient detection method and system, relates to the technical field of material thermophysical property precision measurement, belongs to the technical field of material thermophysical property precision measurement, and applies a weak measurement technology to low-temperature thermal expansion measurement of a sapphire block material. An interference light path containing a sapphire sample as an optical sensitive element is constructed, weak optical path difference (or phase change) caused by temperature change of sapphire is converted into observable significant shift in a spectral domain by utilizing a weak value amplification mechanism, and then the change of spectral characteristic wavelength along with temperature is measured; and in combination with the known sapphire refractive index temperature coefficient, the thermal expansion coefficient of the sapphire can be inverted with high precision. The device can realize non-contact and high-sensitivity measurement of the thermal expansion coefficient, has strong interference capability, and is suitable for precise measurement of the thermal expansion coefficient of sapphire and other transparent brittle materials in a full-temperature region from extremely low temperature to room temperature.

The utility model relates to the technical field of cooling of SVG equipment, in particular to a cooling liquid release device and an SVG system, which comprise a cooling liquid tank, a water outlet pipeline, a water return pipeline and a power module, a water outlet of the cooling liquid tank is connected with one end of the water outlet pipeline, and the other end of the water outlet pipeline is connected with a water inlet of the power module. A water outlet of the power module is connected with one end of a water return pipeline, the other end of the water return pipeline is connected with a water return port of the cooling liquid tank, and a quick release assembly is further arranged on the water return pipeline. Cooling liquid in the cooling liquid tank reaches the power module through the water outlet pipeline, so that heat generated by the power module is taken away, and the cooling liquid flowing through the power module flows into the cooling liquid tank through the water return pipeline. When the power module breaks down, the cooling liquid in the power module needs to be discharged and the power module needs to be replaced, and the cooling liquid in the power module can be quickly released by arranging the quick release assembly, so that the fault processing time is shortened.

The application discloses a kind of ship oil tank allocation intelligent control systems, it is related to ship control technical field, the present application is monitored to ship posture and oil tank, when monitoring needs to be allocated, according to the allocation type, select the allocation route and allocation control data of high stability and convenient operation and carry out control, and real-time monitoring and feedback are carried out in allocation control, reduce dynamic deviation risk, instantaneous unbalance hidden danger and the shortcomings of scheme adaptability deficiency in allocation process, to ensure the safety and reliability of oil tank allocation process, while ensuring the simplicity of allocation process, improve allocation operation efficiency, reduce error risk, and the operation control of simplicity can effectively reduce equipment failure probability, to reduce equipment maintenance cost, ensure system availability, improve operating efficiency.

The present application relates to a kind of processing method for prescription data, electronic equipment and storage medium, it is related to data processing technical field, including the following steps, to electronic prescription data is carried out semantic entity extraction, obtain prescription sensitive data, and prescription sensitive data is carried out risk classification mark, obtain sensitive feature label;Prescription sensitive data is carried out random difference disturbance calculation based on sensitive feature label, obtain disturbance numerical sequence;Based on prescription sensitive data, disturbance numerical sequence is carried out feature cross and non-linear mapping, obtain confused prescription data;Confused prescription data is carried out node comparison based on pre-set drug knowledge graph, obtain graph matching node;Confused prescription data is carried out risk assessment and numerical update based on graph matching node, obtain target prescription data, it solves how to protect the technical problem of the premise of prescription data privacy, guarantee the availability of data to support risk assessment and knowledge graph association as main problem.

The invention provides an automatic identification and tracking method and system for a lottery ticket bundle, and relates to the technical field of lottery ticket bundle identification and tracking. Multi-angle data of the lottery ticket bundle are acquired, three-dimensional contour data of a plastic package belt are synchronously acquired, and the two data are fused to generate a data set containing visual and spatial morphological characteristics; extracting the shape contour features of the edge area of the plastic packaging belt to reconstruct a three-dimensional edge path, and extracting the surface texture of the contact area of the plastic packaging belt and the lottery ticket bundle; judging the structural integrity of the plastic packaging tape according to the continuity and smoothness of the three-dimensional edge path, and evaluating the fitting tightness degree by combining the surface texture distribution uniformity of the contact area; the integrity and fitting degree result is compared with a reference model representing the standard state of the plastic packaging tape, the state of the lottery ticket bundle plastic packaging tape is marked, and finally lottery ticket bundle information with state marks and tracking codes are bound and written into a quality tracking database, so that precise recognition and information traceable management of the state of the lottery ticket bundle plastic packaging tape can be realized.

This invention belongs to the field of ship image processing technology, and provides a method and system for evaluating the quality of augmented data based on reinforcement learning. The method includes: dividing the dataset to be augmented into a training set and a test set; augmenting the training set using relevant augmentation methods; inputting each ship image data, its corresponding loss value, and accuracy into an established data evaluation model to obtain an evaluation value for each ship image data; completing the reinforcement learning process of the data evaluation model according to a specified number of iterations to obtain an optimized data evaluation model and an evaluation probability distribution map; and calculating the KL divergence between each ship image data in the dataset to be augmented and the corresponding original ship image data in the dataset to be augmented to determine the quality of each ship image data. This invention effectively preserves the scoring results while improving the stability of the output results, ensuring the usability and effectiveness of the data evaluation results for augmentation work.

The application provides a kind of multi-device parallel production test control method and device, equipment and storage medium, belong to industrial automation test technical field.The method comprises: according to the test configuration information of current batch test, the tool active test item chain table and device self-test item set commonly used to each device under test are generated;After establishing communication connection with multiple devices under test, each tool active test item is sequentially executed, and the device self-test item set is issued to each device under test to execute device self-test and report self-test result asynchronously;In response to a preset trigger event, a unified completion judgment result is obtained by executing unified completion judgment;When the current batch test meets the test end condition, the unreported self-test item of each device under test is determined according to the device self-test item set and the reported self-test item set of each device under test, and the state compensation of the test result of unreported self-test item is carried out.The embodiments of the application can improve the accuracy of multi-device parallel test process and the integrity of test result.

The invention provides an energy storage EMS system cloud hosting system and method, and the system comprises a monitoring center which is used for keeping heartbeat and basic information synchronization with a communication front-end processor and local energy storage equipment; the communication front-end processor and each local energy storage device are used for respectively initiating a cloud hosting request to the monitoring center when detecting that a preset hosting trigger condition is met; the monitoring center is used for initiating a trusteeship application and basic information to the cloud container trusteeship center after receiving a cloud trusteeship request; the cloud container trusteeship center is used for dynamically injecting the basic information corresponding to the local energy storage equipment into a cloud energy storage container corresponding to the local energy storage equipment to complete initialization of the cloud container trusteeship center, and a response result of trusteeship success is issued through the monitoring center; and the communication front-end processor is also used for disconnecting with the local energy storage equipment and connecting with the cloud energy storage system to carry out cloud hosting after a response result of successful hosting is issued.

This invention relates to a method and apparatus for storage pool scaling and recovery in a distributed storage system. The method includes the following steps: obtaining a scaling request; setting the storage pool to maintenance mode; determining whether the current storage pool meets the conditions for allowed scaling; if so, performing the scaling operation; if not, sending an operation failure signal; after completing the scaling operation, all storage nodes in the storage pool, based on the updated cluster view, use a two-layer consistent static hash ring distribution algorithm to complete data rebalancing. Compared with existing technologies, this invention maintains the availability of data replicas / shards throughout the scaling process, thereby preventing storage pool degradation and minimizing the impact of data migration on front-end read / write requests.

The invention provides a vehicle identity information offline authorization method and system, electronic equipment and a storage medium, and belongs to the technical field of vehicle information security. The method comprises the following steps: receiving an offline authorization code which is sent by a third-party application, is signed and issued by a vehicle factory cloud and comprises application salt and a digital signature; verifying the validity of the authorization code in a hardware security environment of the vehicle-mounted terminal; after the verification is passed, based on the application salt extracted from the authorization code and the safely stored vehicle identification code and equipment salt, safety calculation is executed to generate an identity derivative code; and outputting the identity derivative code for a third-party application to perform vehicle identity verification. According to the invention, the safety and controllability of the vehicle identity information in the off-line environment are improved.

The invention relates to an interaction method and device based on a memory, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a memory call request about an interactive session, analyzing the memory call request, and determining a session context about the interactive session; based on the session context and the memory abstract of each memory unit, screening out a target memory unit matched with the session context from the plurality of memory units; under the condition that the memory state of the target memory unit is the effective state, the target memory unit is called through the large language model, the reply text of the interaction session is determined according to the memory load and the interaction session in the target memory unit, and the interaction effect is improved.

The invention provides a block compression method for marine survey data, electronic equipment and a storage medium. The method comprises the following steps: acquiring marine survey data, wherein the marine survey data comprises text data and image data; according to the data type of the marine survey data, partitioning the marine survey data to obtain a plurality of original data blocks, and partitioning text data in the marine survey data according to a first partitioning size; partitioning image data in the marine survey data according to a second partitioning size; respectively carrying out data compression on each data block in the plurality of original data blocks to obtain a plurality of compressed data blocks, and adopting different compression strategies on repeated character strings and non-repeated character strings in each data block in the plurality of original data blocks; and performing global assembly on the plurality of compressed data blocks according to the sequence of the plurality of original data blocks to obtain target compressed data. The method can give consideration to high compression rate, high compression speed and low resource consumption.

This invention belongs to the field of communication and network control technology. To address the problems of poor adaptability in non-ideal observation environments and the inability of a single optimization objective to meet various differentiated service requirements, and to overcome scheduling failures caused by network jitter or node failures leading to data loss, this invention provides: a time-sensitive network traffic scheduling method based on causal data completion. This method collects real-time traffic data from the current time-sensitive network (TSN) and constructs an irregular observation matrix; it uses a state reconstruction module based on neural Granger causality to complete the missing data in the observation matrix; it extracts robust spatiotemporal features with noise resistance from the completed observation matrix using a variational graph attention network; and it inputs these robust spatiotemporal features into a reinforcement learning decision network based on hierarchical optimization. Under the hard real-time constraint of priority critical time-triggered TT flow, it optimizes the best-effort BE flow transmission efficiency, ultimately generating a gated control list for execution. This invention is primarily applied in design and manufacturing applications.

The application discloses a kind of non-training type privacy protection table data generation method and system based on multi-agent cooperation.The method comprises the following steps: collecting a plurality of real table type data, all table type data are summarized to obtain real table type data set, and the real table type data set is stored in database;Construct a non-training type privacy protection table data generation model, and execute an iteration according to the real table type data set;The non-training type privacy protection table data generation model is iterated for multiple times until the iteration condition is reached, and the last iteration generates the candidate synthetic data set generated by agent as the final synthetic data set.The application realizes systematic evaluation and mitigation of privacy risk without training the model, while maintaining the usability of data for statistical analysis and machine learning tasks, reducing the risk of leakage caused by model memory.

The application relates to a chromatographic data monitoring management method and system, and relates to the field of data management, which comprises the following steps: collecting a chromatographic data transmission state; when the chromatographic data transmission state is not a preset transmission interruption state, collecting chromatographic data transmission information; according to the chromatographic data transmission information, data priority and data resource occupation rate are retrieved; based on the data priority and the data resource occupation rate, a data transmission sequence is generated; data transmission is performed through the data transmission sequence, and a chromatographic task flow is collected; based on the chromatographic task flow, a chromatographic task log is generated, and the chromatographic task log is written into a preset task storage. The application has the effect of improving the analysis efficiency of chromatographic data.

The application discloses a safety monitoring method, device and equipment, a storage medium and a computer program product, and aims to solve the problem that the existing safety monitoring scheme has poor monitoring accuracy in a complex operation environment, unnecessary alarms may occur, the whole locomotive loses power, and the continuity and availability of railway transportation are affected. The method comprises the following steps: obtaining operation data and gas detection data of a hydrogen energy locomotive to be monitored; determining an alarm threshold corresponding to a current operation state according to the operation data; judging whether there is gas leakage based on the alarm threshold and the gas detection data; when the judgment result is yes, determining pressure data and to-be-monitored gas concentration data of a main pipeline and each branch pipeline in a hydrogen supply system based on a pipeline topological structure of the hydrogen supply system; and determining a leakage source position according to the pressure data and the to-be-monitored gas concentration data; and executing a hierarchical protection strategy according to the leakage source position and a leakage degree.

This application discloses a high dynamic range imaging system and method for mobile inspection of photovoltaic power plants. The system includes a user control and display module, a gimbal pod module, an image acquisition module, and an image processing module. The user control and display module sends gimbal control commands and imaging parameter commands; the gimbal pod module adjusts the imaging field of view accordingly to point towards the target inspection area; the image acquisition module acquires at least two frames of raw image data with different exposure parameters and / or different gain parameters for the same scene in the pointing state; the image processing module performs normalization, underexposure / overexposure determination, and suppresses abnormal pixels from participating in fusion on the raw images, obtains a fused image based on configurable fusion weights, and performs tone mapping to generate an inspection output image for display or storage. Through the above-mentioned collaborative link and processing, abnormal pixel interference can be suppressed in scenes with local saturation caused by strong direct sunlight and reflection, balancing bright and dark information and stably outputting inspection images.

This invention relates to the field of intelligent decision-making, and discloses a method, apparatus, electronic device, and storage medium for dynamic early termination of a pre-trained model. It can be applied in the fintech field, improving the efficiency of financial instrument type recognition. The method includes: acquiring target text; calculating the probability distribution of the target text type using a preset pre-trained model; calculating the similarity of the probability distributions in the classification layers corresponding to adjacent transformation layers; determining the patience value of each adjacent transformation layer based on the similarity; sequentially accumulating the patience values ​​of adjacent transformation layers to obtain a target patience value; stopping feature extraction on the text vector sequence when the target patience value meets a preset exit patience value, and using the probability distribution calculated by the classification layer connected to the transformation layer where feature extraction of the text vector sequence stopped as the probability distribution of the target text type. This invention can improve the efficiency of dynamic early termination of pre-trained models.

The embodiment of the invention provides a data desensitization method and device, electronic equipment and a storage medium, belongs to the technical field of artificial intelligence, and is suitable for the fields of financial science and technology and medical science and technology. The method comprises the following steps: acquiring original business data; performing field identification on the original business data to obtain an original sensitive field; obtaining a field sensitive information knowledge base; the field sensitive information knowledge base comprises a plurality of preset risk fields; performing risk assessment on the original business data based on the original sensitive field and a preset risk field to obtain re-identification risk data of the original business data; and desensitizing the original business data based on the original sensitive field and the re-identification risk data to obtain target business data. According to the embodiment of the invention, the accuracy and effectiveness of data desensitization can be improved.

This invention discloses a collaborative scheduling system and method for driving and charging of connected heavy-duty vehicle clusters, relating to the technical field of intelligent management. The system includes the following steps: calculating the driving conversion coefficient and charging conversion coefficient of the vehicle cluster; calculating the vehicle cluster's transport capacity and transport efficiency; establishing a first mapping relationship and a second mapping relationship to obtain discrete transport capacity and discrete transport efficiency; matching collaborative vehicles; verifying the collaborative vehicles; and executing a first operation. This invention, by calculating the driving conversion coefficient and charging conversion coefficient of the vehicle cluster, more accurately predicts and plans the driving and charging needs of vehicles. Based on historical freight data and real-time order information, it allocates vehicle resources more rationally. Through collaborative scheduling, it reduces fuel consumption and electricity costs, reduces vehicle wear and maintenance costs, improves the response capability to emergencies by establishing mapping relationships and discretization analysis, and reduces idle time and improves vehicle utilization efficiency through intelligent scheduling.