36results about How to "Maintain validity" patented technology

The invention relates to the technical field of medical care, in particular to an intelligent query method for a nursing knowledge base, which comprises the following steps of: performing multi-form standardized processing on a nursing problem input by a user, deeply analyzing a query request by utilizing a semantic understanding model, and obtaining an intelligent query result based on an inference algorithm; the method comprises the following steps: automatically selecting related literatures, clinical data and nursing experience data from a nursing knowledge base, generating a preliminary nursing scheme candidate set in combination with a nursing professional knowledge graph, and performing personalized screening and optimization on the scheme by using an intelligent recommendation model in combination with the current illness state, treatment progress and historical nursing data of a patient; the intelligent recommendation model is self-optimized through user feedback, and the nursing scheme recommendation precision is continuously improved. The nursing knowledge base automatically fuses newest medical research results and clinical nursing practice data. The problems that in the prior art, nursing scheme recommendation accuracy is low, updating is not timely, and the individuation degree is insufficient are effectively solved.

The invention discloses a block chain-based performance-lossless watermark credible traceability method and system. The method comprises the following steps of: embedding extended watermark information based on distribution consistent sampling in a potential space of a generative model to obtain a generation content of an embedded watermark; converting the watermark metadata into a hash value, storing the hash value in a block chain, and executing node trust management and a shared data storage and consensus mechanism; inverting the generated content embedded with the watermark to extract watermark information and calculating a hash value, comparing the hash value with the hash value of the watermark information stored in the block chain, if the comparison is consistent, passing the watermark verification, and if the comparison is inconsistent, failing the watermark verification; and when the watermark verification fails, performing node signature verification, if the node signature verification fails or the data is abnormal, starting an on-chain traceability process, tracking a data generation path according to the watermark metadata, and searching an abnormal node or data transmission point. According to the method, lossless embedding, credible circulation and reliable traceability of watermark information can be realized while high quality of generated content is ensured.

The invention discloses a production safety accident emergency disposal scheme intelligent generation method and system, and the method comprises the steps: obtaining the spatial-temporal characteristics of historical accident cases, calculating the correlation degree, building an accident prediction network based on the correlation degree, simulating uncertain factors, calculating the similarity between a current accident and the historical cases, determining the prior probability, and carrying out the accident development reasoning. The method comprises the steps of tracing accident hazard degrees of different production links, obtaining an cause chain, generating an emergency resource allocation strategy set by utilizing Markov decision, constructing target function optimization, obtaining an emergency disposal scheme, monitoring production process, equipment state and personnel configuration changes in real time, and dynamically adjusting the emergency disposal scheme to adapt to the changes. According to the method, the historical data, the graph neural network and the Markov decision are combined, accident prediction and emergency resource intelligent allocation are realized, the method can adapt to the change of a production environment in real time, the disposal efficiency and safety are improved, and meanwhile, the method has relatively good interpretability.

The invention discloses a venous thrombosis risk assessment method and system based on a large language model and deep learning, and the method and system can comprehensively capture the clinical information of a patient through the comprehensive utilization of multi-dimensional and multi-modal clinical diagnosis and treatment data, and improve the accuracy of risk assessment. An automatic feature extraction and selection technology is realized by applying a large language model, manual intervention is reduced, and the comprehensiveness and accuracy of feature extraction are improved. The introduction of the deep learning model enhances the prediction performance of the model, supports real-time data processing and risk prediction, and realizes the automation and real-time performance of risk assessment. Besides, the model framework supports continuous learning and updating, can adapt to new clinical data and research progress, and keeps advancement and effectiveness of the model, thereby providing high-quality hospitalized patient VTE risk assessment services.

The invention relates to a fault prediction method and system for an IP network. The method comprises the following steps: collecting network link data; extracting network link characteristics according to the network link data; training a GRU model through the network link features to obtain a prediction model; and inputting real-time network data into the prediction model to obtain a prediction result. According to the invention, the efficiency and accuracy performance of performance monitoring and fault prediction can be improved.

The invention discloses an intelligent assessment method and system for regional geological disaster risk, and relates to the technical field of intelligent assessment. During operation of the system, various real-time data related to debris flow are acquired by integrating real-time sensors and satellite remote sensing data, original data are preprocessed and stored in a data storage system; based on the collected data, a physical model and a machine learning model are constructed, a debris flow disaster risk index MRI, a rainfall intensity coefficient RIC, a geological vulnerability coefficient GVC and a hydrodynamic pressure coefficient HPC are obtained after calculation, the probability of debris flow occurrence is predicted, and a result is output according to the model. The debris flow disaster risk index MRI is compared with a preset first safety threshold value M and a preset second safety threshold value N, the risk level of debris flow occurrence is evaluated, different areas are managed in a classified mode, debris flow early warning is given out according to real-time monitoring data and risk evaluation results, and automatic emergency response measures are supported.

The invention discloses an AUV (Autonomous Underwater Vehicle) multi-target global path planning method based on a sparrow search algorithm in the field of artificial intelligence and ocean engineering, and the method comprises the following steps: S1, constructing a multi-target optimization model with path length and path safety as the core, and reducing the total length of a path as much as possible while ensuring that the path avoids an obstacle, therefore, a short and safe path is found; s2, determining constraint conditions of path search of the AUV in a complex static environment formed by a plurality of obstacles; s3, solving the multi-objective optimization model established in the step S1 by using a sparrow search strategy; s4, after the algorithm converges, outputting an optimal solution, and drawing an obstacle avoidance 3D schematic diagram and a Pareto frontier map in AUV path planning according to the optimal solution; according to the invention, by improving the sparrow search algorithm and introducing an obstacle avoidance mechanism, the problem of path optimization in a complex underwater environment can be effectively solved, and the navigation efficiency of the AUV and the reliability of task completion are improved.

The embodiment of the invention discloses a head-up display system control method and device, equipment and a medium. The method comprises the following steps: acquiring image information including eyes of a user, and acquiring an eye region image based on the image information; acquiring an actual projection position of the head-up display system, and establishing a sight line dot matrix corresponding to the eye region image based on the actual projection position; determining pupil position information of the user based on the sight line dot matrix, and obtaining a mapping relation between the pupil position information and the actual projection position; and if it is monitored that the pupil position information changes, determining a target projection position of the head-up display system based on the changed pupil position information and the mapping relationship, so as to control a reflection angle of a reflector of the head-up display system based on the target projection position. According to the embodiment of the invention, the effectiveness and accuracy of information display can be continuously maintained by dynamically adjusting the projection position, the method is suitable for various use scenes and user states, the user experience is improved, and the driving safety is improved.

An intelligent respiratory training instrument disclosed by the present invention comprises an integrated box, a breathing mask, an electrical stimulation patch and a box body, the inner wall of the breathing mask is fixedly connected with an oral cavity tube in a penetrating manner, the side wall of the box body is fixedly connected with an adjusting tube in a penetrating manner, the inner wall of the adjusting tube is rotatably connected with a spline shaft in a penetrating manner, and the side wall of the spline shaft is fixedly provided with an impeller. An H-shaped plate is fixedly connected to the side wall of the top of the spline shaft, connecting rods are rotatably connected to the inner side walls of the two ends of the H-shaped plate, gravity balls are fixedly installed at the other ends of the connecting rods, a bottom plate is connected to the side wall of the spline shaft in a bonding mode, and pull rods are symmetrically and rotatably connected to the side wall of the bottom plate; the other end of each pull rod is rotationally connected with the adjacent connecting rod, and the bottom wall of the H-shaped plate is elastically connected with the bottom plate through a reset spring. By monitoring the intensity state of gas exhaled by a patient, the intensity state is fed back to the controller in the integrated box to automatically adjust training parameters, so that the optimal training effect is achieved.

The utility model relates to the technical field of glass processing transportation equipment, in particular to a glass processing vacuum chuck carrying mechanical arm which comprises a supporting piece and a carrying piece, the supporting piece comprises a bottom plate, a cylinder frame and a sliding frame, the cylinder frame is vertically and rotatably connected to the upper portion of the bottom plate, the sliding frame is horizontally fixed to the top face of the cylinder frame, and the carrying piece is arranged below the sliding frame. The carrying part comprises a hanging bracket, the hanging bracket is arranged below the sliding frame, a vacuum suction cup is horizontally fixed to the lower side of the interior of the hanging bracket, a movable rod frame is horizontally fixed to the outer side of the bottom of the vertical end face of the hanging bracket, an abutting hydraulic rod is horizontally fixed to one end of the movable rod frame, an abutting plate is vertically arranged on the movable rod frame, and a hole seat is horizontally fixed to the top face of the abutting plate; the hole seat is horizontally and slidably assembled on the movable rod frame, and the output end of the abutting hydraulic rod is fixed to the outer wall of the hole seat. The side face of the glass plate is clamped through the abutting-pressing plates, displacement of the glass plate is limited through the abutting-pressing plates, and the glass plate hoisting effectiveness and stability are kept.

The invention belongs to the technical field of computer network monitoring, and particularly relates to a service end-to-end monitoring method and system based on eBPF. Comprising a data collection module, a service topology snapshot generation module, a service template generation module and a service index calculation module, flow message data are collected and called from multiple applications and a K8S cluster through an eBPFAgent, and the collected data are transmitted to the service topology snapshot generation module; the service topology snapshot generation module receives data collected by the eBPFAgent, and obtains data from the eSpan; the service call chain template marking module manually marks nodes and paths of a panoramic topology snapshot generated by the service topology snapshot generation module; a service topology association and index calculation module obtains a panoramic topology snapshot generated by a service topology snapshot generation module, call chain data and a service template generated by a service call chain template marking module; the invention aims to provide an accurate, efficient and comprehensive end-to-end monitoring solution for an enterprise-level complex business system.

The invention relates to the technical field of sewage treatment, and discloses trestle construction rain sewage recovery treatment equipment which comprises a treatment box, a bearing seat is fixedly connected to the inner wall of the treatment box, a drainage plate is fixedly connected to the outer wall of a shaft rod of the bearing seat, and first meshes are evenly formed in the surface of the upper half section of the drainage plate; second meshes are evenly formed in the surface of the lower half section of the drainage plate, a driving assembly is arranged at the bottom of the drainage plate and comprises a supporting wheel, the supporting wheel can rotate and can increase the inclination angle of the drainage plate during rotation, and a cleaning assembly capable of alternately cleaning the first meshes and the second meshes is arranged at the bottom of the drainage plate. Through the driving assembly and the cleaning assembly, switching of the filtering states of the two meshes is achieved, and solid impurities clamped in the second meshes in the filtering process and impurities blocked on the inner walls of the first meshes after the first meshes play the filtering effect for a period of time can be removed under the effect of the cleaning assembly; sewage can continuously flow in from the water inlet pipe to be treated.

The utility model relates to the field of oral care clinical technology industry, in particular to a liquid taking device for a drip bottle. The technical problems that a conventional liquid taking device is difficult in liquid taking, liquid medicine is prone to secondary pollution after being started, and meanwhile the device is lack of leakproofness, so that the liquid medicine is prone to being wasted are solved. According to the technical scheme, the liquid taking device for the infusion bottle comprises a hopper body, a sealing cover and an insertion tube. According to the utility model, the intubation tube is inserted into the bottle body of the drip bottle through the bottle plug, so that liquid medicine in the bottle body is guided into the hopper body through the intubation tube, and when liquid is taken, the sealing cover is opened, so that a small amount of liquid medicine in the hopper body flows into a preset container, and the small amount of liquid medicine in the drip bottle can be quickly taken; the invasion of external pollution is prevented, the secondary pollution of the liquid medicine or the waste caused by volatilization and oxidation is not easily caused, and the problems are solved.

This utility model discloses a rapid detection kit for thiamethoxam colloidal gold, comprising a main body, a fixing mechanism, an installation mechanism, and a closing mechanism. The fixing mechanism includes a shelf and a reset plate, the installation mechanism includes a test plate and test tubes, and the closing mechanism includes a sealing gasket and a closing cap. With the cooperation of the above mechanisms, this design of the device helps to maintain the orderly storage of the multiple internal components of the kit, reducing the possibility of confusion and erroneous operation. Users can easily find the required test boxes, test tubes, and reagent bottles, improving work efficiency. In addition, this device can fix the components inside the main body, making it convenient to carry the components inside the main body.

The invention belongs to the technical field of water treatment, and particularly discloses a matrix type separation filler structure which comprises a bearing component fixed in a pool body structure and extending in a second direction perpendicular to a first direction, and a plurality of separation plates arranged in sequence, the bearing component is provided with a gap, the gap is connected with the separating plates in an inserted mode, and each separating plate is provided with a protruding part protruding out of the bearing component. The separating plates and the bearing components are matched with each other to form channels distributed in a matrix mode, and the protruding parts and the gaps are matched to form freedom degrees between the separating plates and reduce brittle sediments attached to the interiors of the channels. The device has the following advantages that the integrity and stability of channel arrangement can be kept under the impact action of water to be treated, and the scattering and damage risks of the separation plates are reduced; brittle sediments in the channel are reduced through the degree of freedom and the shearing effect, and the risk that the channel is blocked due to deposited mud blockage is reduced, so that the separation capacity is favorably maintained, and the operation and maintenance burden is reduced.

The utility model discloses a constructional engineering brick-concrete structure reinforcing device which comprises reinforcing device bodies arranged on the two sides of a wall body, each reinforcing device body comprises a base, an inclined strut assembly and a wall plate, the wall plates are tightly attached to the wall body, each wall plate comprises a plurality of splice plates and connecting pieces which are arranged in a matrix mode, and the adjacent splice plates are connected through the connecting pieces. The wall plate is connected with the wall body through a connecting piece, the base comprises a bottom plate and a top plate, the bottom plate and the top plate are connected through an elastic assembly, the bottom plate is arranged on the ground, the top plate is used for supporting the wall plate, one end of the inclined strut assembly is hinged to the top plate, and the other end of the inclined strut assembly is hinged to the wall plate. And meanwhile, the elastic assembly can relieve the influence of frequent vibration on the inclined strut assembly and the wall plate, and when the foundation settles, the elastic assembly deforms, so that the inclined strut assembly and the wall plate can move along with the wall body, and the stress and deformation influence on the reinforcing device are reduced.

The invention discloses a sensitive data governance method based on big data analysis, which comprises the following steps: firstly, establishing a dynamic data governance framework including dynamic role and authority management, data consanguinity recording, automatic data discovery and classification and data security management; a hierarchical management data center is established, and standardized management of data is realized; and a self-adaptive data governance strategy: constructing a data governance strategy based on big data analysis for the dynamic data governance framework. According to the invention, intelligent role and authority management, comprehensive data consanguinity recording, automatic data discovery and classification and enhanced data security measures are realized, and a governance strategy can be continuously optimized according to a real-time data analysis result, so that the efficiency, accuracy and security of data governance are improved.

The invention discloses an intelligent bulk cargo checking method based on 3D point cloud segmentation, which realizes intelligence and high efficiency of bulk cargo checking through scientific partitioning, a dual checking mechanism and liquidity index management. Firstly, checking areas are divided according to the size of bulk cargoes, and a full-load threshold value is set to trigger checking. Secondly, the accuracy of bulk cargo information is ensured by comparing the RFID tag with the original purchasing information and combining with 3D point cloud data acquisition. In addition, the bulk cargo and inventory area fluidity index is constructed, the cargo layout is guided, the inventory strategy is flexibly set, and the inventory efficiency and the inventory accuracy are improved. Not only is the inventory flow simplified, but also the validity of the inventory strategy is maintained through a dynamic updating mechanism, and powerful support is provided for warehouse operation.

This invention belongs to the field of power engineering technology, and in particular to a rapid high-altitude cable fixing structure, comprising an I-shaped steel frame. The surface of the I-shaped steel frame is provided with a movable component, which includes a rear movable plate located below the I-shaped steel frame. When the air pump is running, gas is injected, driving the front L-shaped movable plate to move via a connecting rod. When the air pump is running, gas is extracted, pulling the rear movable plate to move. This alternation achieves intermittent movement of the entire structure on the I-shaped steel frame. When the front L-shaped movable plate moves, it drives the irregular plate, causing the L-shaped fixing hook plate to rotate around it. When the rear movable plate moves, the L-shaped fixing hook plate rotates under gravity to below the cable. As the entire structure moves, the cable is fitted and fixed within the L-shaped fixing hook plate, achieving rapid and stable fixing of the cable at high altitude.

The invention discloses a binary field lattice-based linear homomorphic signature method and a binary field lattice-based linear homomorphic signature system. The method comprises the following steps: generating system parameters required by the signature method; generating a public key and a private key of a signer by using the generated system parameters, generating a signature by using the private key, and verifying the signature by using the public key; the message is signed by using system parameters, a public key and a private key, and the signature can ensure the integrity and authenticity of the message; verifying the generated signature; and combining a plurality of verified messages into one message, and combining a plurality of signatures corresponding to the messages into one signature. The system comprises a system parameter generation module, a key generation module, a signature module, a verification module and a signature combination module. Compared with an existing lattice-based linear homomorphic signature method, the lattice-based linear homomorphic signature method has the advantages in the aspects of efficiency and safety.

The invention discloses a drug risk analysis method and system based on full-life-cycle data, and belongs to the technical field of drug quality and safety management.The method comprises the steps that a drug full-life-cycle causal network containing nodes and directed edges is constructed based on historical and real-time full-life-cycle data of drugs; calculating a node risk entropy of each node; performing risk conduction simulation to determine a risk accumulation condition; and predicting and outputting a risk outbreak path. The core of the method is that self-adaptive evolution is realized through a double closed-loop feedback mechanism: a first closed loop corrects the causal network according to a comparison result of a predicted risk outbreak path and an actual risk event, and a second closed loop analyzes and updates an ideal state baseline model according to a global risk state. The technical problem that an existing risk analysis model is static and poor in adaptability is solved, risk analysis capable of self-correction and evolution is achieved, and the long-term accuracy of risk prediction is remarkably improved.

This utility model discloses an internal flow channel polishing slurry recycling device, including a graded circulation device, a slurry storage tank, a polishing slurry stirring device, and an internal flow channel polishing powder cleaning device. The graded circulation device includes a graded filtration device, and its polishing slurry outlet is connected to the slurry storage tank via a pipeline. The internal flow channel polishing powder cleaning device is connected to the polishing slurry inlet of the graded circulation device via a pipeline. The waste outlet of the graded circulation device is connected to a waste liquid collection pool via a pipeline and then to an external treatment system. The slurry storage tank is connected to the polishing slurry stirring device via a pipeline. One end of the polishing slurry booster pump is connected to the internal flow channel polishing powder cleaning device via a pipeline, and the other end is connected to the polishing slurry stirring device via a pipeline. This utility model, in the internal flow channel polishing powder cleaning process, can maintain the stability, effectiveness, and continuity of the polishing slurry, ensuring its normal polishing function and preventing product scratches during processing. Simultaneously, it effectively improves the slurry utilization rate, reduces resource waste, and meets environmental protection requirements.

The invention belongs to the technical field of power system stability discrimination, and discloses a power system transient stability assessment method and a related device. The power system transient stability evaluation method comprises the following steps: calculating to obtain transient energy of a power system; calculating to obtain critical energy based on the critical energy function of the two-machine equivalent model of the power system; correcting the critical energy by adopting the trained critical energy added value enhancement model to obtain corrected critical energy; and comparing the transient energy with the corrected critical energy, and obtaining a transient stability evaluation result of the power system based on a comparison result. According to the technical scheme, the advantages that a direct method has good interpretability and an artificial intelligence method has high precision are combined, and an accurate and mechanically interpretable stability judgment result can be quickly obtained according to the current state and possibly suffered faults of the power system.

The present invention discloses a tunnel brightness control dynamic optimization method, system, terminal and medium, and relates to the field of intelligent transportation technology. The main points of the technical solution are as follows: the present invention adopts a Kalman filtering method to perform state estimation on preprocessed multi-source state parameters, and can accurately obtain a vehicle operation estimation state that can characterize the overall situation of a target tunnel. The vehicle operation estimation state and an autoregressive distributed lag model (ADL model) are then combined to predict vehicle flow and vehicle speed, which can accurately analyze the overall change trend of a single data and accurately characterize the correlation characteristics between different data. At the same time, the target value of lighting brightness is solved by a brightness optimization function constructed by considering the coordination of vehicle flow and vehicle speed, and the accurate response to real-time changes in vehicle flow and vehicle speed can be achieved from a global perspective, thereby improving the reliability and timeliness of brightness adjustment.

This specification provides a method, apparatus, electronic device, and medium for implementing a mail packaging damage attribution model. The method includes: collecting multi-source data related to mail and preprocessing the collected multi-source data; extracting basic features based on the preprocessed multi-source data; constructing higher-order features based on the basic features; selecting and concatenating features from the basic and higher-order features to construct a unified feature space; and constructing and training a multi-feature interaction-based mail packaging damage attribution model based on the feature space. The technical solution of this application effectively solves the problem inaccurate attribution of mail packaging damage caused by fragmented multi-source data and insufficient mining of feature interaction relationships in existing technologies.

The invention relates to the technical field of software testing, and provides an automatic regression testing method based on dynamic replacement, and the method comprises the steps: obtaining a key field and a KV pair corresponding to the key field through extracting a JSON interface case; generating a reference JSON interface case template according to a preset rule; identifying and marking a key field in the reference JSON interface case template; according to the step index < < key field step index > > of the key field, performing dynamic replacement operation to obtain replaced JSON (JavaScript Object Notation) data; rendering the replaced JSON data to form a new test case; and executing a regression test by using the new test case, and verifying the validity and accuracy of the new test case. According to the technical scheme, it can be ensured that the execution efficiency of the test case is improved.

The invention discloses a one-stop human resource outsourcing intelligent service platform system, comprising a talent pool management module, an interview management module, a project management module, an attendance management module, a salary management module, an intelligent risk management module, and a notification and announcement module. The talent pool management module is used for intelligently screening and managing talent information, the interview management module is used for interview management of employees, the project management module is used for following up and managing projects, the attendance management module is used for formulating and managing attendance strategies, the salary management module is used for calculating and managing personnel salaries, the intelligent risk management module is used for intelligent risk assessment, early warning and analysis, and the notification and announcement module is used for issuing company announcements. The invention discloses a one-stop human resource outsourcing intelligent service platform system, proposes a talent retrieval and recommendation algorithm based on naive Bayes to retrieve and intelligently recommend information in the talent pool, and proposes an enterprise risk assessment algorithm based on artificial intelligence to intelligently assess, analyze and predict enterprise risks.

The invention provides a privacy-enhanced relational table data simulation generation method, which comprises the following steps of: mining highly related attributes in a linked table L and single tables U and V with foreign key association, and combining the attributes with the linked table L to obtain attributes in the U and V tables corresponding to k attribute pairs; according to the foreign key corresponding relation of the link table L, the obtained attributes and the link table L are spliced, a merge table # imgabs0 # is obtained, according to the attributes of the link table L, the merge table # imgabs1 # is segmented according to columns, and a link table # imgabs2 # generated through simulation is obtained; according to the synthesis result of the link table # imgabs3 #, using a Markov random field model to simulate and generate a table # imgabs4 #; and according to the synthesis result of the link table # imgabs5 #, simulating and generating a table # imgabs6 # by using a Markov random field model. When the simulation data is generated, the effectiveness of the simulation data is improved, and it is ensured that the authenticity and effectiveness of the simulation data can still be kept while privacy of the simulation data is protected.

The invention provides a deep learning model backdoor attack defense method based on a decoupling learning process, and belongs to the field of artificial intelligence and deep learning, and the method comprises the steps: employing a tampered data set, and carrying out the supervised learning training of a deep learning model in a mode of minimizing a first loss function; respectively calculating prediction entropies of each clean sample and each poisoned sample, and filtering the prediction entropies to obtain clean subsets; using the clean subset to perform active forgetting training on the deep learning model after supervised learning training in a mode of maximizing a second loss function; and deleting labels of samples except the clean subsets in the data set to obtain a label-free data set, combining the label-free data set and the clean subsets to form a semi-supervised data set, and performing semi-supervised fine tuning training on the deep learning model after active forgetting training by using the semi-supervised data set. The method is high in robustness, low in cost and remarkable in defense effect.