283results about How to "Improve completeness" patented technology

The invention relates to a network access control system, a network access control method and related equipment. In the system, a client agent module is used for acquiring process identification information and establishing a binding relationship between a process and a network message; the traffic acquisition and analysis module is used for acquiring network messages at a gateway side, analyzing and aggregating the network messages and generating a structured traffic record; the process association verification module is used for verifying the validity of the binding relationship and establishing and maintaining the association relationship between the process and the structured traffic record; the traffic aggregation and strategy generation module is used for executing traffic aggregation and network behavior analysis based on the structured traffic record and the association relationship, and dynamically generating an access control strategy based on a network behavior analysis result; and the dynamic access control execution module is used for controlling the network access request based on the access control strategy and generating an execution result containing the control result. The system realizes self-adaptive generation of process-level control and access control strategies.

The invention relates to a generative artificial intelligence context management technology, and discloses a knowledge tree-based structured memory system and method, a computer readable storage medium and electronic equipment. According to the system, structured memory with a father-son relationship is stored through a knowledge tree, a retrieval strategy is determined according to current input, related nodes or branches are recalled, and a memory context is generated for a model to call after deduplication, truncation, pruning, hierarchical summarization and priority retention processing are carried out under context budget constraint; and meanwhile, node addition, deletion, modification and combination, conflict marking, version management and cutting control are supported, so that the accuracy, consistency and long-term task stability of generated contents are improved. The knowledge tree construction module is used for acquiring external information and executing node generation, updating, deletion and branch maintenance, and can write back a knowledge tree after output; when conflicts exist, version management is executed, and cutting is carried out according to correlation, credibility, redundancy and the like.

The application discloses a kind of coating line adaptive spraying optimization system and method, wherein, perception module is used to collect the geometric shape information and surface characteristic information of target workpiece and environmental information;Data processing module is used to extract workpiece characteristics based on geometric shape information and surface characteristic information, and generates spraying path and spraying parameter in combination with environmental information;Control module is used to generate spraying control instruction based on optimized spraying path and spraying parameter, to control execution unit to carry out spraying operation;Feedback module is used to monitor spraying quality data obtained by spraying operation in real time, and transmit it as feedback information to data processing module.By the application, the collective characteristics of workpiece are extracted by collecting the geometric shape and surface characteristic information of workpiece, and spraying path and parameter are generated in combination with environmental information, to adapt to diversified workpieces, greatly shorten the spraying time and optimize the paint distribution, and further optimize the spraying process through feedback information.

This utility model discloses a substation emergency backup power supply system and a substation power outage control system. The substation emergency backup power supply system includes: a main control circuit, an AC-to-DC circuit, an auxiliary power supply, a battery module, a constant current charging circuit, a battery voltage acquisition circuit, a battery switching circuit, and a motor control circuit. The output terminal of the main control circuit is connected to the input terminal of the motor control circuit, enabling it to send control signals to the motor control circuit. The motor control circuit is connected to a drive mechanism, which is connected to the substation high-voltage switch, enabling it to control the switching action of the substation high-voltage switch. The substation emergency backup power supply system and substation power outage control system proposed in this utility model can improve the safety and intelligence of substation power outage shutdown.

The automatic deburring equipment comprises a tooth root grinding device and a tool positioning device, the tool positioning device comprises a first clamp assembly, the first clamp assembly comprises a clamp base, a positioning block and a locking structure, and a protruding column is arranged at the upper end of the clamp base in a protruding mode; the positioning block is placed in a sleeve hole of a second flexible ring sleeve of the second flexible gear structure, so that the second flexible ring sleeve is supported on the outer circumferential wall of the positioning block, the positioning block is provided with a convex rod in a protruding mode, the convex rod is inserted into an open hole of a convex column, and a spring of the locking structure is located in a containing groove and forces a convex bead of the locking structure to move towards the open hole; the convex beads abut against the peripheral walls of the convex rods, and the multiple clamping jaws are used for clamping any one of the rigid wheel and the clamp base. According to the automatic deburring equipment, deburring treatment can be conducted on flexible gears and rigid gears of different models, the application range is wide, universality is high, deformation damage to workpieces can be avoided in the deburring treatment process, and the machining precision is improved.

The utility model relates to the field of air conditioner control systems, in particular to a multi-group air conditioner control system which comprises a centralized controller and an extension set, and the extension set is electrically connected with the centralized controller; the extension set is also externally connected with an intelligent environment sensing assembly, and the intelligent environment sensing assembly is electrically connected with the extension set; and remote control and upgrade modules are arranged in the integrated controller and the extension sets. Through cooperation of the integrated controller and the extension set, the intelligent environment sensing assembly and the remote control and upgrade module are combined, accurate and efficient control over the air conditioner system is achieved, the energy utilization efficiency is improved, and the flexibility and the intelligent degree of the system are enhanced.

This specification provides a dynamic governance retrieval method based on generator-aware feedback and list-based rewards, comprising: performing multimodal preprocessing on input multi-format unstructured documents to establish a joint representation of text content and spatial coordinates, and outputting structured data; receiving mixed strings input by users, calling a large language model to perform semantic parsing and intent recognition, and outputting structured query parameters; recalling candidate data based on the structured query parameters, extracting semantic relevance features, timeliness features, data quality features, and multi-source consistency features of each candidate data, and generating a ranking list based on the features; inputting the ranking list into a generation model to generate answers, performing multi-dimensional quality assessment on the answers, and outputting assessment results; converting the assessment results into feedback signals, and dynamically optimizing the parameters and generation strategy of the ranking model based on the feedback signals.

The application discloses an ESP offer click transaction method and system, and relates to the field of financial technology.The method comprises the following steps: configuring ESP offer rules and ESP transaction rules through a strategy rule configuration module; configuring parameters of the ESP offer rules for a transaction counterparty; when the transaction price meets the ESP offer rules, a volume offer module calculates and generates a volume channel price based on market quotations and the ESP offer rules; the volume channel price is sent to a foreign exchange transaction center, and the volume channel price is monitored in real time to obtain an offer monitoring result; transaction element verification is performed according to the offer monitoring result and a transaction request; and when the transaction element verification is successful, a transaction result is determined through a click transaction module based on the ESP transaction rules. The technical problem that the prior art algorithm is simple, the strategy configuration mode has limitations, the ESP offer volume cannot be flexibly set through a strategy, and the transaction verification algorithm is rough and has the risk of being arbitrated is solved.

The application discloses a mass concrete temperature measuring and crack preventing device and a construction method, which comprises a reinforcing mesh arranged on a foundation bottom surface, a pipeline support and a cooling pipe, the reinforcing mesh is arranged above the foundation bottom surface through support blocks, at least two rows of support assemblies are arranged on the reinforcing mesh at intervals, each row of the support assemblies is composed of at least two U-shaped supports, the cooling pipe is arranged between adjacent support assemblies, the cooling pipe is connected with the U-shaped supports through a pipeline connecting piece, one end of the cooling pipe is a water inlet end, and the other end is a water outlet end, the water inlet end is connected with a water supply pump body, the water outlet end is connected with a water return pipeline, and the water return pipeline is connected with a cooling water source to form a circulating loop. The grid positioning assembly is used to accurately arrange the cooling pipe in the same height, the cooling pipe structure combining softness and hardness and the multiple locking type pipeline connecting piece are adopted, the problems of poor arrangement precision, easy displacement and water leakage of the traditional pipeline are effectively solved, the construction difficulty is reduced, and the operation stability of the water circulating system is improved.

The application discloses an unmanned aerial vehicle intelligent sensing and intention reasoning system and device, which comprises image acquisition, target detection, knowledge graph, multi-modal large model, airborne computing power and edge-cloud cooperation module. The system is guided by target detection, enhances scene knowledge through the knowledge graph, improves the analysis ability of the multi-modal large model, and realizes the intelligent monitoring of the unmanned aerial vehicle based on the RK3588 platform. Real-time monitoring is realized by using the maneuverability of the unmanned aerial vehicle, which can not only analyze the scene, but also infer and predict the behavior intention and situation, thereby realizing early warning. The local and cloud systems are equipped with a historical database, a visual interface and a large parameter model, and the returned information is deeply analyzed. The system can be applied to the scenes of border patrol, city security, animal protection and the like.

The utility model provides a continuous oil pipe injection bridge plug combined tool, and relates to the technical field of oil exploitation equipment. The continuous oil pipe injection bridge plug combined tool comprises an oil pipe connector, a hydraulic release, a centralizer, a positioner, a spray gun, a feeding and sealing tool and a bridge plug which are sequentially arranged. The positioner comprises a main body and a plurality of positioning parts, the multiple positioning parts are arranged on the circumferential side of the main body in a circumferential array mode along the axis of the main body, and the positioning parts are elastically connected with the main body; the positioning part comprises a first protrusion and a second protrusion which protrude in the direction opposite to the axis of the body, the first protrusion is close to the centralizer, the second protrusion is close to the spray gun, and the vertical distance from the end of the first protrusion to the axis is not larger than the vertical distance from the end of the second protrusion to the axis. The range defined by the multiple first protrusions can be larger than the inner diameter size of the sleeve. According to the technical scheme, hanging load fluctuation can be more obvious, and therefore accurate positioning can be achieved in the air-tight seal casing pipe.

The application provides a data intelligent filling method and related equipment, and relates to the technical field of data intelligent processing. Through the steps of obtaining data input information, identification processing, semantic inference, clarification correction and mapping execution, the problems that the prior art cannot effectively process diversified input, lacks context utilization, cannot actively clarify and cannot intelligently map are solved, the accuracy and intelligent degree of data filling are improved, the semantic ambiguity and information missing situation can be actively processed, intelligent data mapping across systems is realized, and the reliability and applicability of data intelligent filling are enhanced.

The application provides a kind of intelligent zero point positioning quick change system, mechanical manufacturing system and its working method, intelligent zero point positioning quick change system includes quick change support plate, transfer device, waiting device, quick change device and zero point positioning base plate, its characteristics are: it further includes positioning state air tightness detection module, clamping force detection module and remote diagnosis device, positioning state air tightness detection module judges whether zero point positioning state is qualified by pressure sensor;Clamping force detection module judges whether zero point positioning state is qualified by tension sensor;Alarm for unqualified zero point positioning state.The zero point positioning state automatic detection device is wirelessly communicated with the remote diagnosis device, for simultaneously real-time remote transmission of detection and recording results, and remote diagnosis, early warning and reasonable maintenance scheme reporting.The automation and intelligent level is high, and its zero point positioning state automatic detection device ensures the positioning reliability of zero point positioning device through detection and early warning, and realizes remote control.

The invention belongs to the technical field of glass processing and production, and particularly relates to a glass paint spraying and drying device which comprises a frame body and a placing layer fixedly connected with an inner cavity of the frame body, and through the structural design of the placing layer, glass to be subjected to paint spraying and drying is placed in a placing groove between a bottom placing plate and a top end fixing plate; the edge of the glass is embedded into rectangular notches formed in inner cavities of a bottom containing plate and a top end fixing plate, the preliminary positioning and fixing effects are achieved, an overturning motor is started, the overturning motor drives a coupler to rotate, the coupler drives a rotating shaft to rotate through a first linkage belt, and the rotating shaft drives a first rotating disc to rotate; the first rotating disc drives the second rotating disc to rotate through the second linkage belt, then the first fixing column, the containing layer and the glass fixed to the containing layer are turned over, the angle of the glass can be adjusted to a proper paint spraying position, the turning motor is used for providing power, multi-angle turning over of the glass is achieved, and the problem that the angle of the glass is difficult to adjust is solved.

The invention discloses an LBE large-space operation scheduling system, method and device and a storage medium, and relates to the technical field of virtual reality, and the system comprises a development configuration module, a space mapping module, a real-time synchronization module, an application scheduling module and a remote monitoring module. According to the method, development standardization, space digitization, data real-time, task process and control remote are realized, so that the development efficiency, the operation collaboration and the scheduling agility are greatly improved, and the management range is expanded.

The application discloses an impact-resistant high-thermal-conductivity polyphenylene sulfide composite material and a preparation method thereof, and relates to the technical field of plastic processing. The preparation method comprises the following steps: S1, preparation of a highly oriented PPS fiber insert; and S2, preparation of the impact-resistant high-thermal-conductivity PPS composite material. The application provides an impact-resistant high-thermal-conductivity PPS composite material and a preparation method thereof. Firstly, the viscoelasticity of PPS resin is improved by using high-melt-viscosity and high-temperature-resistant aromatic polyamide, the interfacial compatibility of PPS / aromatic polyamide is enhanced by using a functionalized polysulfone-based resin as a compatibilizer, so that the stretchability and the tensile orientation degree of PPS are improved; PPS composite fibers are obtained by using a melt spinning machine, and a fiber solid-phase high-multiple-stretching-annealing forming process is established, so that the high-toughness and highly oriented PPS composite fiber material is obtained.

The invention discloses a layered planning method for indoor autonomous exploration of a mobile robot based on dynamic prediction, and the method comprises the steps: S1, dividing an exploration environment where the robot is located into a plurality of local subspaces, and marking the state of each subspace as an unexplored state, an explored state, an explored state or a semi-explored state according to the data of a sensor and a semantic detection result; s2, establishing a global topological graph connected with each subspace, and planning a global access path by using a traveling salesman problem model; s3, integrating a pedestrian trajectory prediction model in the selected current subspace, and evaluating and selecting a local viewpoint capable of maximizing information gain and minimizing dynamic collision risk based on a prediction result; the method has the beneficial effects that a semi-exploration state and a self-adaptive revisit mechanism are introduced, and when the door is possibly opened, the check is turned back, so that the dead angle of a map is eliminated, and the exploration completeness is improved; pedestrian trajectory prediction is incorporated into viewpoint scoring, and people deadlock is avoided.

The invention provides a gradient functional composite material, a preparation method and application of the gradient functional composite material to a die-casting die. The composite material sequentially comprises a bonding layer, a metastable-state high-entropy alloy relaxation layer, a component gradient transition area and a dynamic densification composite surface layer from a base body to the surface. Wherein the relaxation layer can generate reversible martensite phase transformation at the die-casting temperature so as to actively dissipate thermal stress; the composite surface layer contains a low-melting-point nanophase, and can flow at high temperature to realize self-repairing and dynamic lubrication of surface micro-damage. According to the composite material, gradient transition and metallurgical bonding between layers are achieved through continuous process modulation. The coating system provided by the invention has multiple synergistic protection mechanisms of active stress digestion, interface gradient relaxation and surface self-adaptive repair, and can remarkably improve the thermal fatigue resistance, melting loss resistance and demolding performance of the die-casting die, so that the service life of the die is greatly prolonged.

The present disclosure provides a piezoelectric self-feedback excitation type micro electric field sensor, an electric field detection method and a sensor, and is applied to the technical field of electric field sensors. The piezoelectric self-feedback excitation type micro electric field sensor comprises: a substrate for supporting a vibration pickup reference structure, a piezoelectric driving structure, a mutual shielding electric field sensing structure and an elastic beam; the piezoelectric driving structure is used for deforming the piezoelectric driving structure to make the elastic beam vibrate when a driving voltage is applied to the piezoelectric driving structure; the mutual shielding electric field sensing structure is used for outputting a differential form of a sensing current signal in response to the vibration of the elastic beam, so as to suppress common mode noise and detect the amplitude strength of the electric field to be measured; the vibration pickup reference structure is used for outputting a reference current signal in response to the vibration of the elastic beam, so as to adjust the size of the driving voltage, so that the output sensitivity of the piezoelectric self-feedback excitation type micro electric field sensor is a predetermined value.

The invention discloses a laboratory environment regulation and control auxiliary system based on artificial intelligence. The system comprises a data acquisition module, a laboratory scene recognition module, a laboratory environment suitability evaluation module, a laboratory environment regulation and control strategy generation module and an environment intelligent regulation and control auxiliary module. The invention relates to the technical field of data processing, in particular to a laboratory environment regulation and control auxiliary system based on artificial intelligence, which innovatively introduces a laboratory scene recognition module to recognize a laboratory scene in real time and effectively improve the environment regulation and control precision; a clustering center based on mahalanobis distance is introduced to initialize, a laboratory scene recognition objective function fused with prior reinforcement constraints is constructed, a weak correlation clustering center recognition strategy and membership redistribution optimization are used for carrying out clustering algorithm improvement, and the accuracy of laboratory scene recognition is improved; and a historical optimal position memory mechanism is introduced, and a dimension learning neighborhood search strategy is adopted to improve an optimization algorithm, so that the precision of a laboratory environment regulation and control strategy is improved.

The application provides a product retail advertisement pushing method and system, electronic equipment and storage medium, and relates to the technical field of intelligent advertisement pushing and consumer behavior analysis. The method comprises the following steps: collecting user biological data of a target product retail display area; performing multi-dimensional processing on the user biological data to generate a feature change mode set, a pupil response sequence and a physiological response curve; performing multi-modal data fusion on the feature change mode set, the pupil response sequence and the physiological response curve, combining an emotional computing algorithm to determine the emotional feedback intensity value of the user to the current advertisement content; generating a personalized advertisement scheme matched with the emotional state of the user according to the emotional feedback intensity value and combining a generative adversarial network; matching the personalized advertisement scheme with product characteristic data browsed by the user to generate specific advertisement content, and pushing the specific advertisement content to the user. The application improves the real-time accuracy and user emotional matching degree of advertisement pushing.

The application discloses an interactive method for quickly adding a recurring schedule in a waterfall month view. The method involves the following steps: providing a schedule template selector, performing schedule drop, conflict detection and prompt, and differential submission and server verification in the waterfall month view. The application provides a schedule template selector in the user interface, displays a plurality of predefined schedule templates, selects at least one schedule template from them, applies the schedule template to the corresponding date to generate a schedule instance and performs a preview in response to the user's operation on the date grid, performs conflict detection and prompt during the preview, and submits the data to the server in response to the user's submission operation. The application improves the accuracy and efficiency of the interactive operation process of quickly adding a recurring schedule in a waterfall month view, and solves the problems of incoherence, low efficiency and high error rate in the prior art.

The invention discloses an electrical stimulation physiotherapy device based on multi-mode multi-point stimulation, and the device comprises a control module which is used for determining a physiotherapy mode corresponding to a user, and outputting a control instruction according to the physiotherapy mode; and the at least two electrode modules are connected to the control module, are arranged in a cortex stimulation area and a spinal cord stimulation area of the user, and are used for synchronously outputting current to a plurality of stimulation target spots of the cortex stimulation area and the spinal cord stimulation area according to the control instruction so as to realize collaborative physiotherapy. Therefore, the multiple electrode modules arranged in the cortex area and the spinal cord area can be controlled according to different physiotherapy modes based on the control module, so that multi-mode and multi-target synchronous synergistic electrical stimulation physiotherapy is realized, and the intelligent degree and the treatment effect of the overall electrical stimulation physiotherapy are improved.

The present application relates to the technical field of judicial informatization and psychological health assessment, in particular to a method and device for diagnosing depression and anxiety risk of high mobility personnel in the judicial field, which comprises: obtaining an evaluation data set of the personnel to be evaluated; inputting the evaluation data set into a pre-trained fusion analysis model to output the quantitative scores of depression and anxiety of the personnel to be evaluated; the fusion analysis model comprises a feature fusion layer and a multi-task risk assessment layer; the feature fusion layer is used to convert the evaluation data set into a unified feature representation to obtain a standardized data set; the multi-task risk assessment layer comprises a plurality of learners, which learn the standardized data set from different angles and synthesize the quantitative scores through a weighted voting method. The present application adopts an analysis method combining large models, deep learning and machine learning, which can mine deep correlations and non-linear complex features between multi-source data, significantly improving the accuracy and intelligence of risk identification.

The invention discloses an automatic batch shell breaking and meat taking all-in-one machine for escargots, and belongs to the field of aquatic product processing. The all-in-one machine comprises a feeding device, a tail shearing and crushing device, a vibrating device and a screen cleaning device which are sequentially arranged on a rack. A tail shearing mechanism in the tail shearing and crushing device is matched with a tool bit through a rotating roller, and the escargots are automatically positioned and precisely sheared through centrifugal force; according to the crushing mechanism, a conical sleeve is matched with a rotary crusher, so that an extrusion space which is gradually reduced in the material advancing direction is formed, and self-adaptive uniform shell crushing is achieved for field snails of different sizes. And a shell and meat mixture after shell breaking is subjected to multi-stage screening and washing cleaning through a spring vibration screening platform of the vibration device and a rotary screening barrel of the screen cleaning device in sequence. The full-process continuous and automatic operation of river snail processing is realized, the problems of inaccurate positioning and uneven crushing are effectively avoided, and the integrity rate of river snail meat and the cleanliness of finished products are improved.

The application discloses an intelligent file digitization processing method and system, and the method comprises the following steps: synchronously scanning paper files through a multispectral line array scanner, and collecting file image data in a visible light band and a near-infrared band respectively; correcting non-uniform illumination and perspective distortion of the file image data, and generating a geometrically and coloristically standardized double-channel fusion file image; outputting structured layout description information containing a text area, a table area, a signature area and an illustration area based on the double-channel fusion file image; generating a preliminary file information graph according to the structured layout description information; and finally outputting a fully-structured digital file object meeting archiving standards based on the file information graph and a preset file metadata specification. By using the embodiment of the application, a fully-structured digital file object can be automatically and high-faithfully generated, and the accuracy, completeness and knowledge level of digitization processing are improved.

The application discloses a sample sampling method and device based on a graph structure, equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring graph structure information, wherein the graph structure information comprises a plurality of nodes, and two nodes connected by an edge form a positive sample pair; for an anchor node in the plurality of nodes, determining a link weight between the anchor node and a sampling node according to the number of paths between the anchor node and the sampling node; wherein the sampling node is a node in the plurality of nodes that is not connected to the anchor node by an edge; and constructing a first training sample of a graph neural network model based on the anchor node, the sampling node and the link weight between the anchor node and the sampling node; wherein the graph neural network model is used for extracting features in the graph structure information. The link weight determined by the embodiment of the application is more consistent with the graph structure information, and the training sample determined based on the link weight is more abundant.

The utility model provides a kind of light storage and filling micro-grid system, including photovoltaic power generation device, energy storage device and charging device, photovoltaic power generation device generates electric energy by photovoltaic power generation, energy storage device is used to store and release electric energy, and charging device is used to charge electric vehicle;Photovoltaic power generation system includes photovoltaic cell assembly and photovoltaic junction box;Energy storage device includes battery and control cabinet, and first temperature sensor is equipped on battery;Control cabinet includes cabinet body, and voltage acquisition unit, current acquisition unit, first temperature sensor, second temperature sensor, humidity sensor, first smoke sensor and control device are equipped in cabinet body, and second smoke sensor is equipped outside cabinet body.The utility model is constituted by photovoltaic, wind power and constitutes distributed power supply, integrates distributed power supply, energy storage and control and constitutes independent micro-grid to supply power for electric vehicle, and good charging environment is provided by monitoring and management to data simultaneously.

The application discloses a kind of methods and devices for detecting transaction data, and it relates to mobile internet technology field.The specific embodiment of the method includes: it can be according to the transaction service type of transaction data to be detected and the transaction interface and transaction channel to which it belongs, from multiple preset global detection models and / or unit detection models, find one or more target detection models matched, and utilize the target detection model found to detect transaction data in real time.The embodiments of the application construct global detection model for transaction service type, and determine to construct unit detection model for the combination of different transaction interfaces and different transaction channels, to detect transaction data using multiple detection models, improve the accuracy, real-time performance and detection refinement degree of detecting abnormal data in transaction data, improve the efficiency of detecting data.

This invention discloses a method for predicting future spare parts demand based on historical maintenance records of ship equipment. It employs a Poisson process to simulate maintenance workload and a compound Poisson process to simulate the number of spare parts consumed during each maintenance, establishing a spare parts consumption model. Historical maintenance records are then substituted into the spare parts consumption model, and the future spare parts consumption quantity is calculated using either the mean method or the peak prediction method. The jump intensity parameter is estimated based on historical maintenance data. The probability of replacement maintenance is statistically analyzed using historical maintenance data as an estimate of the replacement maintenance probability, and the spare parts consumption quantity within the future time period is calculated. This serves as a reference for spare parts carrying capacity for the next ocean-going mission. This method minimizes the impact of complex and tedious reliability calculations, reliability data collection, and human error on the safety of ocean-going voyages, improving the efficiency and digital management of ship maintenance support.