270results about How to "Reliable design principle" patented technology

The invention relates to the technical field of navigation, and particularly provides a quadruped robot autonomous navigation method and system for a special environment, and the method comprises the steps: generating a semantic tag for depth point cloud data corresponding to a depth image through employing a recognition result of a target detection network for the depth image; calculating local odometer information according to the laser point cloud data and the inertial sensor data by using a laser radar mileage calculation method; fusing the depth point cloud data with the semantic label, the laser point cloud data with the semantic label and the local speedometer information to obtain positioning data in a pre-constructed point cloud map; constructing a multi-layer cost map according to the pre-constructed point cloud map, the newly acquired depth image, the laser point cloud data and the inertial sensor data by using a sensing method of a region planner; and generating navigation path information according to the positioning data and the multi-layer cost map by using a global path planning algorithm and a local path planning algorithm. The method improves the navigation precision.

The invention relates to the technical field of software development, and particularly provides a self-adaptive code annotation updating method and system, a terminal and a storage medium, and the method comprises the following steps: confirming that codes are updated, extracting an updated code set, and combining and constructing an abstract syntax tree for the codes; performing semantic analysis on the abstract syntax tree by using a deep learning model to generate a semantic vector, and constructing a program dependency graph based on the semantic vector; analyzing a dependency relationship among code elements in the program dependency graph by utilizing a graph neural network; and generating a code annotation based on the semantic vector and the dependency relationship between the code elements by using a natural language generation model. According to the method, the real-time performance and the accuracy of the code document are ensured, the readability and the maintainability of the code are greatly improved, and the maintenance cost is reduced.

The invention relates to the technical field of digital twinning, and particularly provides an airport flight area risk management method and system, a terminal and a storage medium, and the method comprises the steps: constructing a three-dimensional model of an airport, and setting a management and control area in the three-dimensional model; collecting monitoring data of an airport, identifying a moving target and a movement track of the moving target from the monitoring data, and generating intrusion early warning information if the movement track intersects with the management and control area; aircraft demand information is obtained, the demand information comprises take-off demand information and landing demand information, and a to-be-executed task is generated based on the demand information; collecting meteorological data through a meteorological sensor; and distributing a take-off and landing runway for the task to be executed based on the meteorological data and the intrusion early warning information. According to the invention, the digital twinborn model is constructed and the environment data of the airport flight area is monitored, so that the illegal invasion of the flight area is early warned in time, and the runway is reasonably distributed based on the illegal invasion early warning, so that the flight safety is effectively managed and controlled.

The invention belongs to the technical field of enterprise relation extraction, and particularly provides a transfer learning entity relation extraction method, device and equipment based on field self-adaption and a storage medium. The method comprises the steps that one or more source fields are selected; performing pre-training on the selected source field by adopting a deep learning model, and learning a labeled enterprise relationship data set in the source field; selecting a target domain with unlabeled or partially labeled enterprise relational data, and adjusting pre-trained model parameters by using a domain adaptive algorithm to adapt to data features and distribution of the target domain; after field adaptation of target field data features and distribution is completed, a transfer learning algorithm is deployed to carry out fine adjustment on the adjusted deep learning model; verifying the performance of the fine-tuned deep learning model in the target domain; and identifying and extracting the enterprise relationship and the relationship thereof in the text by applying the fine-tuned deep learning model in the target field. And high quality and consistency of the extracted enterprise relationship and the relationship data thereof are ensured.

The invention relates to the technical field of artificial intelligence, and particularly provides a large language model training method, system and device and a storage medium, and the method comprises the steps: collecting task samples based on task difficulty and task diversity demands; obtaining a support set and a query set of the task samples, and performing data enhancement processing on the support set; performing internal loop training on the meta-model by using the support set, and performing external loop training on the meta-model subjected to the internal loop training by using the query set to obtain a meta-gradient; and summarizing the element gradients, and updating the global model based on the element gradient summarized data by using an adaptive optimizer. The adaptive capacity of the large language model to the task type is improved.

The invention relates to the technical field of data processing and analysis, and particularly provides a power dispatching data processing and analysis method and system based on a large language model, a terminal and a storage medium, and the method comprises the steps: S1, receiving information inputted by a user; s2, judging whether a file exists in the information input by the user or not: if not, judging the type of the information according to a prompt word in the information input by the user, if the information is non-query type information, executing a step S31, and if the information is query type information, executing a step S32; if the file exists, executing the step S33; and step S31, converting the non-query information into a target vector, matching the target vector with a vector in a pre-stored vector library, performing similarity judgment, and outputting a result based on judgment. According to the invention, efficient and accurate power data processing and analysis can be realized.

The invention relates to the technical field of target detection, and particularly provides a semi-supervised learning-based target detection method, system and device and a storage medium, and the method comprises the steps: obtaining a data set which comprises a marked image and an unmarked image; generating a pseudo label for the unmarked image based on the marked image by using a dense detector; dividing the pseudo labels into reliable labels and soft labels according to the scores of the pseudo labels by using a pseudo label distributor; the pseudo label is updated to the data set, the updated data set is utilized to train a target detection model, and the target detection model identifies a target object in the sample image after training; the soft label is set to only participate in the preset partial loss calculation in the training process so as to reduce the training error caused by the soft label. According to the invention, an efficient semi-supervised learning target detection framework is constructed, and the accuracy of a target detection model is improved.

The utility model relates to the technical field of servers, in particular to a server power supply heat dissipation device, which comprises a CPLD (complex programmable logic device) arranged on a power supply backboard and connected with a BMC (baseboard management controller) through an I2C (inter-integrated circuit) link; the CPLD is connected with a first port of the multiplexer, and the BMC is connected with a second port of the multiplexer; a third port of the multiplexer is connected with the power management bus; the CPLD is connected with a control pin of the multiplexer so as to control the multiplexer to communicate the first port to the third port or communicate the second port to the third port; the power management bus is connected with a voltage sensor and a current sensor which are arranged at the downstream of the power converter; and the CPLD is connected with the power supply fan driving chip.

The invention belongs to the technical field of power distribution network equipment, and particularly provides an intelligent power distribution cabinet and a monitoring method thereof.The intelligent power distribution cabinet comprises an intelligent power distribution cabinet body, a lifting mechanism, a damping mechanism, a fireproof mechanism, a base and a power module for supplying power to the whole intelligent power distribution cabinet; the intelligent power distribution cabinet body is installed on the base through the damping mechanism and the lifting mechanism in sequence, the monitoring module comprises a monitoring unit, an edge calculation processor, a storage unit and a communication unit, the monitoring unit and the storage unit are both connected to the edge calculation processor, and the edge calculation processor is connected to a cloud server through the communication unit; by introducing the edge computing processor, real-time data processing and analysis can be carried out locally on the intelligent power distribution cabinet. The localized computing power avoids delay caused by uploading a large amount of data to the cloud, especially under the condition of poor network conditions, quick response can still be kept, and the effectiveness of real-time monitoring and fault early warning functions of the power system is ensured.

The invention relates to the technical field of data processing, and particularly provides a data exporting method, system and device based on dynamic batching and a storage medium, and the method comprises the following steps: receiving a retrieval request, and determining metadata information matched with the retrieval request; monitoring a memory vacancy rate, and dynamically updating a data volume threshold value based on the memory vacancy rate; evaluating a data volume based on the metadata information, and if the data volume exceeds the data volume threshold, dividing an entity class data export task based on the metadata information into a plurality of sub-tasks; and executing the subtasks one by one to export all entity class data corresponding to the metadata information in batches. According to the method, the memory is dynamically limited, and the data volume processed at a time is limited based on the memory allocation amount, so that the memory resources are fully utilized, and meanwhile, the memory can be prevented from being impacted, and normal operation of other services can be prevented from being influenced.

The invention belongs to the technical field of energy storage equipment, and particularly relates to an energy storage system based on liquid cooling and air cooling and a heat dissipation method thereof.The energy storage system comprises a protection box, and a cooling layer, an energy storage module placement layer and a temporary storage layer are arranged in the protection box from top to bottom; a cooling liquid storage box is arranged in the cooling layer of the protection box, a liquid cooling heat dissipation assembly communicated with the external atmosphere is installed on the outer box wall of the cooling liquid storage box, a cooling liquid temporary storage box is arranged in the temporary storage layer of the protection box, and a cooling pipeline is connected between the cooling liquid storage box and the cooling liquid temporary storage box. A liquid return pipeline is further connected between the cooling liquid storage box and the cooling liquid temporary storage box; by combining two schemes of liquid cooling heat dissipation and air cooling heat dissipation, the heat dissipation mode can be intelligently selected or switched according to the actual temperature information of the energy storage system, and therefore it is ensured that the energy storage system can keep the optimal heat dissipation effect under various working conditions.

The invention belongs to the technical field of road traffic management, and particularly relates to an expressway event handling method and system based on big data, a terminal and a storage medium, and the method comprises the steps: collecting real-time data on an expressway, and carrying out the preprocessing of the collected real-time data of the expressway; analyzing the preprocessed real-time data of the expressway, and judging whether an emergency event occurs on the expressway or not; and if yes, inputting the collected highway real-time data into a pre-constructed highway emergency event handling model, and generating emergency event handling measures. According to the invention, vehicle driving data, road condition data and environment data on the expressway are collected in real time through equipment such as a vehicle speed sensor, a meteorological sensor and a camera which are installed on the expressway; and a Markov decision process is utilized to construct an expressway emergency event handling model, so that intelligence and automation of emergency handling are realized.

The invention relates to the technical field of artificial intelligence, and particularly provides a public opinion analysis method, system and device and a storage medium, and the method comprises the steps: collecting user evaluation data, and carrying out the preprocessing of the user evaluation data; utilizing a pre-training language model and a topic model to analyze the preprocessed public opinion topic of the user evaluation data; grouping the preprocessed user evaluation data according to public opinion themes to which the user evaluation data belong to obtain a plurality of data groups; and utilizing an emotion analysis model to respectively identify the emotion tendencies of the plurality of data groups to obtain the emotion tendencies corresponding to the plurality of public opinion topics, the emotion analysis model comprising a pre-training language model, a bidirectional long-short term memory network model and a convolutional neural model. According to the method, hierarchical analysis of the user evaluation data is realized, and data support is provided for subsequent decision making.

The invention relates to the technical field of image recognition, and particularly provides a road target monitoring method, system and device and a storage medium, and the method comprises the steps: obtaining a road monitoring video stream, converting the road monitoring video stream into an image frame sequence, and carrying out the preprocessing of image frames; identifying a road target in each image frame by using a target detection algorithm, and generating a track of the road target in the image frame sequence by using a multi-target tracking algorithm; performing anomaly analysis on the trajectory based on a preset rule, and identifying an abnormal trajectory; and obtaining a confidence score of an abnormal road target to which the abnormal track belongs, screening out a target detection frame with the highest score, and extracting feature information of the road target from the target detection frame. According to the invention, the speed and precision of road target identification in a complex environment are improved, an abnormal analysis and subsequent processing method of the moving track is provided, the quality of road target monitoring is improved, and a data basis is provided for road management.

The invention relates to the technical field of power management, in particular to a buck-boost bidirectional DCDC converter control method and system and a storage medium, and the method comprises the steps: obtaining a DC bus voltage and a battery voltage of a converter; the switching frequency, the dead time and the bus voltage of the converter are obtained, and hysteresis parameters are calculated based on the switching frequency, the dead time and the bus voltage; the correlation between the direct current bus voltage and the battery voltage is obtained based on the hysteresis parameter, the working modes needing to be operated of the converter are judged based on the correlation between the direct current bus voltage and the battery voltage, and the working modes comprise the BUCK mode, the BOOST mode and the upper tube direct connection mode; and adjusting the PWM waveform of the driving switch tube so as to control the operation of a corresponding working mode. The defects that a traditional control mode is large in switching loss, high in common-mode noise and low in specific working condition efficiency are effectively overcome, the conversion efficiency of the converter is remarkably improved, common-mode interference is reduced, and the electric energy conversion stability and reliability are enhanced.

The invention relates to the technical field of computers, and particularly provides an off-line authorization verification method and system for an application program, a terminal and a storage medium, and the method comprises the steps: receiving an authorization request, generating a key pair containing a public key and a private key based on the authorization request, and extracting a machine code from the authorization request; generating authorization information based on the machine code, wherein the authorization information comprises an authorization deadline, an authorization code and authority information; using system time as authorization time, and encrypting the authorization information and the authorization time by using a private key to obtain an authorization certificate; and issuing the public key and the authorization certificate to a client which sends the authorization request, and appointing a storage directory of the authorization certificate in the client. According to the invention, by introducing the timed task, authorization management is more flexible, and changeable market requirements can be met.

The invention relates to the technical field of artificial intelligence, and particularly provides an unmanned aerial vehicle aerial image processing method, system and device and a storage medium, and the method comprises the steps: obtaining an aerial image, generating a label for the aerial image, and storing the aerial image with the label into a sample set; generating a verification label for the aerial image in the sample set by using a generator model, generating a loss value of the verification label by using a discriminator model, and correcting an original label of the aerial image based on the verification label and the loss value; based on the corrected aerial image tags, counting the number of various tags, and marking the tag category of which the number does not reach a preset number threshold value as a to-be-expanded tag category; and generating an image copy for the aerial image of which the tag category is to be expanded, setting the tag of the original aerial image as the tag of the corresponding image copy, and converting an image style for the image copy. According to the invention, optimization of unmanned aerial vehicle data quality is realized.

The invention relates to the technical field of insurance risk assessment, and particularly provides an insurance strategy generation method and system based on reinforcement learning, a terminal and a medium, and the method comprises the steps: building an authorization connection relation between a user and an insurance company, and enabling the insurance company to obtain the multi-modal data of the user; constructing a deep learning model, and training a risk assessment model based on the multi-modal data in the plurality of preset time windows; configuring an insurance strategy for the user based on the user state and the risk probability, and training a reinforcement learning model based on the user state, the risk probability and the insurance strategy; and obtaining current multi-modal data in the adjusted time window based on the adjusted data acquisition frequency and acquisition priority, inputting the current multi-modal data into a risk assessment model to obtain a current predicted user state and risk probability, and inputting the current predicted user state and risk probability into a reinforcement learning model to obtain a current insurance strategy. The scientificity and adaptability of insurance services are improved, and the influence caused by inverse selection risks is reduced.

The invention relates to the technical field of storage, and particularly provides a data processing method of a combined disk array, a terminal and a storage medium, the data processing method comprises the steps that the combined disk array is disassembled into a parent array and a sub-array, and the sub-array is a basic disk array with a corresponding hardware acceleration unit; splitting a parent volume corresponding to the parent array into a corresponding number of sub-volumes based on the number of the sub-arrays, and establishing a corresponding relationship between the sub-volumes and the sub-arrays; and disassembling a write command received by the parent volume into sub-commands based on the corresponding relationship, and writing the sub-commands into the sub-arrays by utilizing the corresponding sub-volumes. According to the method, the hardware acceleration unit of the basic disk array is fully utilized, and the data processing efficiency of the combined disk array is ensured.

The invention relates to the technical field of data processing, and particularly provides a super-fusion-based mountain torrent prediction method and system, a terminal and a storage medium, and the method comprises the steps: constructing a super-fusion platform based on kubernetes and a distributed storage technology, a weather forecast system, a hydrological monitoring system, an inspection data management system, a plan management system and an external communication system are deployed on the hyper-fusion platform; a business layer of the hyper-fusion platform obtains meteorological data from a meteorological forecasting system, and generates a mountain torrent prediction event based on the meteorological data; and the business layer obtains water regimen forecast from the hydrological monitoring system, generates disaster forecast if the water regimen forecast is matched with the mountain torrent forecast event, and performs disaster analysis and early warning release through the inspection data management system, the plan management system and the external communication system based on the disaster forecast. By constructing the hyper-fusion platform, the meteorological data and the hydrological data are fused, accurate prediction of the mountain torrents is realized, and the accuracy of mountain torrent prediction is improved.

The invention belongs to the technical field of marine high-capacity battery management, and particularly provides a marine high-capacity battery heat dissipation and heating system which comprises a shell-and-tube heat exchanger connected with an inverter compressor through a pipeline, and the inverter compressor is connected with an evaporator; a cooling water coil pipe is arranged in the evaporator; a circulating water coil pipe is arranged in the high-capacity battery pack; an inlet of the cooling water coil pipe is connected with a liquid inlet through a liquid inlet pipeline, an outlet of the cooling water coil pipe is connected with a liquid outlet through a liquid outlet pipeline, the liquid outlet is connected to an inlet of a circulating water coil pipe of the high-capacity battery pack through a cooling pipeline, and a circulating water pump is arranged on the liquid inlet pipeline; an outlet of the high-capacity battery pack circulating water coil pipe is connected with the liquid inlet through a cooling pipeline, heat generated when the high-capacity battery pack works is replaced, and the replaced heat is cooled by the evaporator through a cooling water coil pipe arranged in the evaporator. Accurate temperature regulation and control of the marine high-capacity single battery are completed, the heat dissipation efficiency is improved, and the energy consumption of the whole heat dissipation system is reduced.

The invention belongs to the technical field of computers, and particularly provides a house asset management system and method.The house asset management system comprises a data layer, a service layer and an application layer, the service layer is located on the data layer, and the application layer is located on the service layer and can call an API interface provided by the service layer; wherein the application layer comprises a multi-party interaction communication platform, a house asset management module, an intermediary channel management module, a tenant / buyer information management module and a house resource information issuing and matching module; the problems of information islands, unsmooth communication, low management efficiency and the like in a traditional house asset management system are solved, and seamless connection and efficient cooperation among a house asset party, a house intermediary channel party and potential tenants or buyers are realized by constructing a system integrated with a multi-party interactive communication platform.

The utility model relates to the technical field of SSD (Solid State Disk) testing, in particular to an auxiliary testing device for an SSD board card, which comprises a fixed plate connected with a base through a support column, and a cable fixing component arranged on the upper surface of the fixed plate; the nut holes are correspondingly connected with the positioning holes of the SSD board card to be tested through screws; the cable fixing part is used for fixing a test cable; the fixing plate comprises a hollow area, a cooling fin is embedded in the hollow area, and the cooling fin is in corresponding contact with the chip position of the SSD board card to be tested; the base comprises a plurality of fans. By using the device, each chip on the SSD bare board can be effectively cooled through the fan module, and the SSD board card and the test cable can be fixed.

The invention provides a mechanical water meter automatic meter reading method based on a deep learning OCR model, and belongs to the technical field of water meter automatic meter reading, and the method comprises the following steps: collecting and marking mechanical water meter pictures, and forming a data set; a mechanical water meter character detection model, a mechanical water meter character direction judgment model and a mechanical water meter character recognition model are constructed, and the data set is used for training; obtaining a mechanical water meter picture needing to be read, sequentially inputting the mechanical water meter character detection model, the water meter character direction judgment model and the mechanical water meter character recognition model, and finally obtaining a meter reading number by determining a meter reading area position and a character direction. According to the method, automatic meter reading of the mechanical water meter is realized, the positioning precision of a meter reading area is improved, the processing speed is high, the problem of large identification error caused by diversity of shooting angles of compatible water meter pictures by identifying character directions is solved, a half-character mapping rule of a reading label is introduced, the interference of half characters on the identification precision of full characters is avoided, and the character identification precision is improved.

The invention provides a book resource conversion and teacher resource full-chain service system, and belongs to the technical field of education service platforms, and the system comprises a user management module which responds to registration and login requests of institution users and teacher users, and allows the institution users and the teacher users whose identity information passes verification to operate within an allocated permission range; the course issuing and order grabbing module responds to course issuing operation of the institution user and order grabbing operation of the teacher user to establish a course transaction, and manages messages and payment of both sides of the course transaction; and the occupational promotion course management module is used for generating occupational promotion courses for the teacher users, receiving selected courses for playing and learning corresponding courses, and carrying out learning authentication on the teacher users after learning is completed. According to the invention, the matching efficiency is improved through the course release and order grabbing mode, the traditional screening and communication time is shortened, systematized occupational promotion courses and learning paths are provided for teachers, and professional growth and occupational development of the teachers are promoted.

The invention belongs to the technical field of power equipment monitoring, and particularly provides a multi-mode ice and snow identification method and system for power transmission monitoring and photographing, and the method comprises the steps: obtaining real-time image data through a power transmission monitoring and photographing camera, and obtaining environment data at the power transmission monitoring and photographing camera through an environment sensor; the obtained real-time image data and environment data are preprocessed; inputting the preprocessed real-time image data and environment data into a pre-stored multi-mode ice and snow identification model, and predicting whether the lens is covered with ice and snow and the ice and snow coverage degree; controlling the lens to perform ice and snow melting treatment according to the predicted ice and snow covering condition of the lens; according to the invention, the ice and snow coating condition of the lens can be predicted in real time, and the ice melting treatment is automatically carried out, so that the reduction of the shooting quality and the potential safety hazard caused by untimely human intervention or misoperation are avoided.

The invention provides an image drawing method, system, device and medium for realizing port remote control console system device switching, and belongs to the technical field of image processing, and the method comprises the following steps: developing an SCADA engine based on an SKIA underlying engine, introducing a device interface, a user interface and a thread pool, and configuring double buffer areas; an SCADA engine is initialized, and equipment with the use frequency exceeding a threshold value is preloaded and stored in the background; the method comprises the following steps: generating an interactive interface on a remote control console, acquiring input information through the interactive interface, switching equipment according to the input information and rendering the switched interactive interface, using double buffer areas and multiple threads in the rendering process, and automatically updating the change of equipment information through responsive programming after rendering is completed. According to the method, the switching efficiency is improved by applying the method to the hybrid switching of the automatic modification of the wharf, the switching effect is good, the flexibility and the efficiency of the wharf operation are improved, and the change and the requirement of the wharf service are better adapted.

The invention relates to the technical field of smart televisions, and particularly provides a smart television personalized content recommendation method, system and device and a storage medium, and the method comprises the steps: obtaining user basic data and behavior record data, the user basic data comprising user personal information and device information; extracting browsing content and browsing time from the behavior record data, and setting the browsing time as interestingness of the browsing content; analyzing the feature tag combination of the browsed content, and based on the feature tag combination of the browsed content and the corresponding interestingness, counting a core feature tag with the highest interestingness; video resources associated with the core feature tags serve as candidate resources, and priorities are divided for the candidate resources based on user basic data; and arranging the candidate resources from first to second according to the priority, and pushing the candidate resources according to the arrangement sequence. According to the invention, the recommendation accuracy and the user experience are improved.

The invention relates to the technical field of data processing, and particularly provides a metadata management method, system and device and a storage medium, and the method comprises the steps: extracting feature information of metadata, and generating attribute information based on the feature information; distributing a key prefix for metadata based on the attribute information, and storing the metadata to a pre-distribution logic interval of the key prefix in a key value pair form; respectively calculating index values of attribute information of the metadata in each logic interval by utilizing a preset index rule; and confirming that the index value of the logic interval exceeds a set index threshold value, and generating metadata exception early warning. According to the method and the device, efficient management of the metadata is realized.

The invention relates to the technical field of data processing, and particularly provides a road state early warning method, system and device and a storage medium, and the method comprises the steps: collecting road state information which comprises environment information, flow information, accident information and congestion information; generating an abnormal event and an abnormal event position based on the state information, and generating a road section limiting speed and early warning prompt information for the abnormal event; and calling a target road display screen based on the position of the abnormal event, and outputting the road section limiting speed and early warning prompt information of the abnormal event to the target road display screen. According to the invention, the road state is collected through the sensor, abnormity screening is carried out on the road state, the abnormal events are generated based on the screening result, after the abnormal events are integrated, the display screen is controlled to carry out display early warning, and the road management quality is improved.