76results about How to "Real-time update" patented technology

The invention relates to the technical field of measurement, in particular to an integrated sensing module for a dynamic weighing system, which comprises a physical domain, an environmental domain and a virtual domain, and realizes dynamic adjustment of parameters through cross-domain interaction so as to deal with high-frequency vibration and rapid temperature difference change in a complex environment. The physical domain is responsible for collecting multi-source data, the environment domain senses external interference in real time, and the virtual domain realizes time sequence feature extraction and dynamic model updating by combining the optimization capability of a recurrent neural network and reinforcement learning. According to the technical scheme, the real-time performance and adaptability of the system are remarkably improved, the environment change trend can be accurately predicted, the weighing strategy is adjusted in advance, and the error rate is controlled to be at an extremely low level. Meanwhile, by combining a negative feedback mechanism and objective function optimization, the sampling frequency is dynamically adjusted, and the energy consumption is reduced on the basis of guaranteeing the data processing efficiency. And deep fusion of wavelet decomposition, a dynamic normalization algorithm and a neural network model is adopted, so that the accuracy and stability of data processing are greatly enhanced.

The invention belongs to the technical field of rail transit vehicles, and discloses a rail transit vehicle fault intelligent diagnosis and maintenance service recommendation system based on a knowledge graph, and the service recommendation system is composed of a rail transit vehicle fault detection module, a knowledge graph construction and updating module, and a maintenance service recommendation module. According to the method, efficient, accurate and real-time monitoring and fault diagnosis of the vehicle state are realized through a fault detection algorithm, powerful data support is provided for intelligent fault diagnosis through a constructed comprehensive, dynamic and highly integrated rail transit vehicle knowledge graph, a reliable knowledge basis is provided for maintenance service recommendation, and the reliability of fault diagnosis is improved. The method greatly improves the safety and maintenance efficiency of the rail transit system, accurately generates and recommends an optimal maintenance service scheme through a maintenance service recommendation algorithm, achieves the intelligent recommendation of the maintenance service, improves the maintenance efficiency to the maximum degree, and reduces the operation cost.

The invention discloses a construction method, system and equipment of a high-precision map and a medium. The construction method comprises the following steps: S1, generating a bird's-eye view feature map based on a static map with a standard resolution and sensor data; s2, further extracting a static feature Fsd and a dynamic environment feature Ft based on the bird's-eye view feature map; s3, based on a cross attention mechanism, fusing the static feature Fsd and the dynamic feature Ft; and S4, decoding the fused features into a high-precision map through a decoder. According to the invention, when the environment structure changes, the road information of the current frame can be reasoned by combining the high-definition map information of the previous frame with the standard map information, and the depth feature extracted by the convolutional neural network and the original standard map information are combined. The system can more accurately perceive and understand the environment around the vehicle, so that the overall performance and decision-making efficiency of the automatic driving system are improved.

The invention discloses a hydraulic support group cloud measurement method based on AR calibration matching. A physical system, a remote cloud data processing system and a VR system are included. In the physical system, AR glasses provide an interactive interface for virtual-real interaction and data display, and an inspector performs manual matching and dragging adjustment through an MRTK toolkit to complete detection. In the remote cloud data processing system, the cloud service computing system carries out data storage and preliminary analysis, the centralized control worker and the GPT decision making system send a mixed decision making result to the AR glasses through secondary data processing to make a detection data supplement request, and finally the field inspection worker completes measurement. In the VR system, a twin hydraulic support group model is constructed and corrected, an overall working space is constructed, and pose reconstruction precision verification is carried out, so that virtual pose real-time measurement of the hydraulic support group is realized.

The invention provides a route control method and device for substation inspection and an inspection control system, and the method comprises the steps: obtaining data, such as environment parameters, historical records and equipment conditions, of all to-be-inspected point locations of a substation in real time, and calculating a static weight and a dynamic weight based on the information, wherein the dynamic weight considers the waiting and maintenance duration of the inspection point, the equipment emergency degree and external influence factors; a random inspection path is generated to serve as an initial population of a genetic algorithm, and a fitness function is constructed in combination with weights for optimization so as to determine a priority and a penalty value, so that an optimal inspection path is obtained; and finally, the route is issued to terminal equipment of inspection personnel, and dynamic updating of the inspection route is realized. According to the method, the problem of low inspection efficiency caused by incapability of effectively adjusting the inspection route in case of emergency or equipment problems in the inspection process of the transformer substation in the prior art is solved.

The invention relates to the technical field of digital product data processing, and discloses a digital product recharging and selecting system which comprises a data acquisition module, a feature extraction module, a score calculation module, a score compensation module and a commodity recommendation module. Compared with the prior art that a digital product is subjected to static recommendation only based on historical consumption behaviors of a user, and particularly, real-time dynamic optimization recommendation cannot be realized under the condition of rapid change of user preferences or cold start of new commodities, the method and the device have the advantages that the user behavior feature sensitivity index and the real-time interaction behavior are combined, so that the real-time dynamic optimization recommendation can be realized; according to the method, the weight of the recommendation model is dynamically adjusted, accurate capturing of user requirements and real-time updating of the recommendation sequence are achieved, therefore, the problems that in a traditional recommendation system, recommendation results are homogenized, and the real-time performance is insufficient are solved, and the accuracy of digital product recommendation is improved.

The invention discloses an inverter access method and device, a storage medium and an acquisition and monitoring terminal, which are applied to the acquisition and monitoring terminal, and an inverter is connected with the acquisition and monitoring terminal through a preset interface. The method comprises the following steps: reading first real-time communication configuration information from a characteristic register of an inverter according to original communication configuration information corresponding to a preset interface in an inverter file; if the first real-time communication configuration information is successfully read, replacing original communication configuration information corresponding to the preset interface with the first real-time communication configuration information; if the reading of the first real-time communication configuration information fails, reading second real-time communication configuration information from a feature register of the inverter according to the candidate communication configuration information; and if the second real-time communication configuration information is successfully read, replacing the original communication configuration information corresponding to the preset interface with the second real-time communication configuration information. According to the invention, the protocol self-adaption of the inverter accessed from the preset interface is realized, and the convenience of replacing the inverter is improved.

The invention relates to the technical field of separation devices, and discloses a cyclone separator optimization system and method based on machine learning, and the system comprises a user operation module, a numerical simulation module and a deep learning module. The method comprises the steps that when a user terminal inputs cyclone separator parameters in a cloud platform, a system calls a cyclone separator parameter database; if no corresponding cyclone separator parameter exists in the cyclone separator parameter database, performing analogue simulation calculation according to the cyclone separator parameter input by a user, and establishing a flow prediction model according to a simulation result; the flow prediction model performs prediction according to the simulation result; after the prediction is finished, performing comparison according to a prediction result; and finally obtaining optimized parameters required by the parameters of the cyclone separator, and transmitting the optimized parameters to a user terminal through the cloud platform. According to the method, the separation efficiency of cyclone separators with different designs is predicted, and manpower, material resources, time, cost and the like are saved in actual production.

The invention discloses a psychological health state assessment method based on big data, and the method comprises the steps: obtaining social media text information, voice data and physiological signals of a user, and carrying out the preprocessing of the social media text information, the voice data and the physiological signals; constructing an emotion vector by using the preprocessed social media text information, voice data and physiological signals, performing emotion division on the emotion vector through a K-means clustering algorithm, and updating the emotion vector to obtain an emotion stability index; generating personalized psychological health suggestions of the user based on the emotional stability index, dynamically adjusting the emotional state of the user according to the condition that the user accepts the personalized psychological health suggestions, and re-updating the personalized psychological health suggestions; according to the method, the emotion fluctuation of the user can be comprehensively captured, more accurate psychological health assessment is provided, and the timeliness and effectiveness of psychological health suggestions are improved.

The invention discloses a method for updating map data based on a sensor. The method comprises the following steps: S1, a data acquisition stage; s2, a data analysis stage; s3, a timed rechecking stage; s4, a map updating stage; and S5, a prediction recommendation stage. According to the method for updating the map data based on the sensor, received data information detected and transmitted by a temperature and humidity sensor, a positioning sensor, an infrared sensor, a network detection sensor and an image sensor is classified through a soft max regression algorithm, and then the classified data is compared with samples set in a sample library through a KMP algorithm; outputting a comparison result; in addition, the device predicts the map in the same time period recently by combining the prediction of the differential autoregressive moving average model with the previous map in the time period, so that different use requirements of using vehicles are met, and the intelligent level of the device is improved.

This invention discloses a method and system for labeling prompt words in a large-scale communication domain model based on knowledge graphs. Belonging to the fields of communication technology and artificial intelligence, it addresses the following technical problems: low efficiency in labeling specialized terms in communication domain prompt word annotation, low accuracy and efficiency of automatic recognition, limited prompt word dimensions, and lagging domain knowledge. The method includes: sequence labeling and entity extraction using a trained combined model to output entities; generating relation triples as candidate relations using a trained generator, and scoring and ranking the selected relation triples using a trained discriminator; semantic parsing of user input to extract key entities and intents; multi-hop reasoning from a dynamic knowledge graph to retrieve relevant entities and relations; eliminating illusory content using a trained GAN network; generating entity prompt words from three levels: basic, extended, and application dimensions; and introducing a triple quality verification mechanism.

The present invention discloses an intelligent integrated management and control system for hospital information integration, which belongs to the technical field of hospital information management, and comprises a rule base, an abnormality recognition module and a medical record supervision module; the rule base is used to store various medical rules; the abnormality recognition module is used to perform abnormality recognition on medication data based on the rule base; identify various medical rules in the rule base; establish an abnormality recognition model based on the medical rules; perform real-time recognition on medication data through the abnormality recognition model, and obtain abnormal judgment values ​​corresponding to various medication data; determine operation abnormality data according to the abnormal judgment values; perform corresponding processing according to the obtained abnormal operation data; the medical record supervision module is used to supervise the writing of cases, obtain various target cases, and identify the case type of the target cases; obtain various case requirements of the corresponding case types; obtain case verification values ​​corresponding to various case requirements; determine case supervision results according to the case verification values; and process various target cases according to the case supervision results.

The invention relates to the technical field of construction management, in particular to a road construction management platform and method based on 3DGIS + BIM, and the platform comprises a construction sequence optimization module, a construction risk management module, a resource allocation and efficiency module and a construction progress adjustment module. According to the invention, through deep integration of 3DGIS and BIM data and initialization of a position marker for path search, real-time updating of terrain and building model information is realized, a construction sequence is accurately adjusted, adaptability and accuracy of a construction plan are improved, construction errors caused by information lag are effectively prevented in a complex geographical environment, and the construction efficiency is improved. Dynamic analysis of building structure risks is carried out by using BIM, environment changes are monitored in combination with 3DGIS, real-time monitoring and adjustment of risks are realized, risk management accuracy and response speed are improved, through space and resource utilization rate analysis, resource efficiency is improved, construction quality and speed are ensured, real-time progress monitoring and information updating are carried out, and a construction plan is further accurate. And project execution efficiency is improved.

This invention relates to a method and system for recalling recommended products in a second-hand e-commerce scenario. The method includes: acquiring real-time user behavior data; extracting the user's identity identifier and the identity identifier of the object product in the user's current behavior based on the real-time user behavior data; acquiring co-occurring products that form a co-occurring product pair with the object product from a data source; calculating the similarity between the object product and each co-occurring product; and sorting the multiple co-occurring products in descending order of similarity, selecting a predetermined number of co-occurring products at the top of the sorting as the recall products. This invention achieves real-time updates of the similarity of each product by storing the user's real-time behavior and promptly deleting expired user behavior, ensuring that the recommendation results are more relevant to the user's current or recent interests.

The invention discloses a vehicle end light map real-time updating method, system and device and a storage medium. The method comprises the steps of obtaining an SD map and camera perception recognition data within a preset range according to a vehicle position and a road scene; superposing the camera perception identification data to an SD map; extracting lane feature point data corresponding to a map scene from the fused perception map, and associating the lane feature point data to a road Link; and according to the Link ID, the lane feature point data is stored in a KFD database for differential updating, and the vehicle end light map is updated in real time based on the KFD database after differential updating and the map scene. Compared with the prior art in which a map is difficult to update in time in case of a temporary road condition, the method has the advantages that vehicle camera sensing data are fused to construct a map scene and extract lane feature point information, a more accurate lane-level map is generated by real-time dynamic mapping at the vehicle end during each running, and real-time updating of the light map at the vehicle end is realized.

The invention provides an airborne navigation filtering method and device, computer equipment and a storage medium, and belongs to the field of airborne navigation design, and the method comprises the following steps: initializing filtering parameters of an airborne navigation system of an unmanned aerial vehicle; positioning the unmanned aerial vehicle according to the satellite navigation signal, and determining navigation parameters of the unmanned aerial vehicle at the current moment; determining a navigation filtering residual error and a residual error variance of the unmanned aerial vehicle; updating the initialized filtering factor according to the navigation filtering residual error and a preset residual error threshold value as well as the residual error variance and a preset residual error variance threshold value to obtain an updated filtering factor; and carrying out filtering optimization on the airborne navigation system according to the updated filtering factor. The method has high environmental adaptability, can solve and generate the filtering factor corresponding to the current environment according to airborne navigation in different vibration magnitude environments, improves the filtering accuracy of the airborne navigation system, and has high engineering application value.

The application provides a rectal cancer VR preoperative planning three-dimensional modeling system with simulated physical properties, and belongs to the technical field of surgical modeling. The system comprises a medical image three-dimensional model reconstruction module, a VR interaction module, a model physical property assignment module, a surgical behavior analysis module and a simulation control module. The medical image three-dimensional model reconstruction module is used for constructing a three-dimensional anatomical model; the VR interaction module is used for constructing an interactive operation dataset; the model physical property assignment module is used for constructing a tissue mechanical state dataset; the surgical behavior analysis module is used for constructing a surgical operation action intensity coefficient, an operation continuity coefficient and a tissue stress change coefficient; and the simulation control module is used for dynamically presenting a tissue physical response effect under rectal cancer surgical operation in a virtual reality environment. The application makes the tissue physical response presented in the virtual reality environment consistent with the current surgical operation state, and improves the real-time performance and reliability of the simulation process.

The invention discloses a field material situation dynamic tracking system, which comprises an Internet of Things satellite, a satellite ground station, a ground wireless base station, a data center and at least one Internet of Things terminal, and is characterized in that the Internet of Things terminal is mounted on a material packaging unit or transportation equipment; the internet-of-things terminal is in wireless connection with the ground wireless base station and the internet-of-things satellite, the internet-of-things satellite is in wireless connection with the satellite ground station, and the data center is connected with the ground wireless base station and the satellite ground station. According to the field material situation dynamic tracking system, information is transmitted based on ground network information, field material situation dynamic tracking is achieved, a low-orbit Internet of Things satellite is adopted to construct a space-based information link as a means for enhancing and expanding material information transmission, two data return links are complementary, effective dynamic tracking of field materials is improved, and the field material situation dynamic tracking efficiency is improved. And material chain breakage, loss and out-of-control state are avoided.

The present invention discloses an OTA upgrade method and system based on data pre-solution, wherein the OTA upgrade method based on data pre-solution includes: obtaining all vehicle status data and OTA software baseline versions in an OTA server; pre-solution of vehicles based on the OTA software baseline version and vehicle status data; constructing a vehicle pool, storing the target vehicle data generated after pre-solution into the vehicle pool; creating and directing the release of OTA upgrade tasks based on the vehicle pool. When the OTA server is idle, the vehicle status data can be pre-solved and stored in the vehicle pool, and the OTA upgrade tasks can be directed based on the vehicle pool, without the need to match the vehicle status data, which can greatly reduce the resource consumption of concurrent data on the server and improve the OTA upgrade efficiency.

The embodiment of the invention provides a combined monitoring and predicting method for abnormity of a belt conveyor, and relates to the technical field of digital intelligent monitoring and analysis of abnormity of the belt conveyor. The method comprises the following steps: respectively determining to-be-analyzed constituent parts in the belt conveyor, to-be-analyzed constituent elements in each constituent part and operation abnormity types of all the constituent elements; constructing an operation exception type set based on all the operation exception types; acquiring operation data of each component element, wherein the operation data comprises image data and time sequence data; and performing single-point anomaly analysis on each component element based on the operation data and the operation anomaly type set, and performing joint anomaly analysis based on a single-point analysis anomaly result. According to the technical scheme, the problem of cause analysis of various types of abnormity of the belt conveyor is systematically solved, and joint monitoring and prediction of various types of abnormity are achieved.

The invention provides an information synchronization method, device and equipment, and belongs to the technical field of computer information processing. The information synchronization method for the server comprises the following steps: receiving order data sent by a client; sending the order data to a target data system in a plurality of data systems in communication connection with the server through a first synchronization task; obtaining order business data fed back by the target data system according to the order data through a second synchronization task; and sending the order business data to the client. According to the technical scheme, real-time updating of the order data of the e-commerce platform and the third-party merchant is realized, and the order data synchronization and updating efficiency is improved.

The present invention relates to a signal acquisition system based on the combination of electroencephalogram and functional near-infrared spectroscopy. The system comprises: a host computer, which is used to send programs and circuit parameters to be upgraded to a main circuit system, and to update an electroencephalogram information original database and an electroencephalogram information feature library according to signals collected by a data acquisition module; a main circuit system, which is used to send programs and circuit parameters to be upgraded sent by the host computer to a functional near-infrared module, and to perform real-time online signal processing on the signals collected by the data acquisition module according to a customized algorithm; a data acquisition module, which is used to collect electroencephalogram information and auxiliary information; and a functional near-infrared module: which is used to transmit and receive near-infrared light signals, and to update its own programs and circuit parameters according to programs and circuit parameters to be upgraded sent by the host computer. The present application solves the problem that in the existing electroencephalogram technology combined with near-infrared spectroscopy technology, hardware solutions are generally customized, and have poor upgradeability and versatility.

The present invention discloses a vehicle thermal management strategy optimization method and system based on one-dimensional and three-dimensional joint simulation, including: taking cooling water flow and air flow as decision variables, randomly generating a primary control strategy; performing one-dimensional and three-dimensional joint simulation of the cooling system based on the primary control strategy; taking the maximum temperature of the cylinder head fire surface and the average heat exchange of the cylinder liner outer wall obtained by simulation as the optimization target, and updating the control strategy until the optimal control strategy is obtained after the iteration conditions are met. Coupling the one-dimensional and three-dimensional joint simulation technology in the multi-objective optimization algorithm of the electronic water pump and electronic fan control strategy improves the reliability of the optimization process.

The invention discloses a power grid operation maintenance dispatching task management method, and belongs to the field of power grid operation maintenance, and the method comprises the steps: 1, obtaining dispatching demands, which comprise a normal dispatching demand and a temporary dispatching demand; normal dispatching demands and temporary dispatching demands are combined and managed in a unified manner to form a comprehensive dispatching demand pool; step 2, evaluating dispatching demand priorities, including evaluation dimension design and priority algorithm design; step 3, intelligently formulating dispatching tasks, including personnel allocation, historical data utilization and regional influence analysis; and step 4, recording the execution process of the dispatching task, including recording the execution process and intelligently scoring the task. According to the invention, each link of power grid operation maintenance dispatching task management is comprehensively improved, the timeliness and comprehensiveness of information acquisition are realized, and the efficiency and reliability of power grid operation maintenance are improved.

The present disclosure is about a data insertion method, device, equipment and storage medium, and relates to the field of data processing technology. In the present disclosure, when an instruction for inserting table data in a first table file into an online document is received, the first table file is displayed, and in response to an operation of selecting a data range in the first table file, the first table data corresponding to the data range is displayed in the online document. The efficiency of inserting table data is effectively improved. At the same time, the table data displayed in the online document is determined through the generated table data reference relationship, and the table data inserted into the online document is updated, thereby improving the timeliness and accuracy of the table data in the document.

The invention belongs to the technical field of process knowledge management, and particularly relates to a resource model structured database construction method of a complex equipment large-scale production line. The specific process is as follows: product information modeling: modeling product information into three levels of product classification, product series and product instances; complex equipment manufacturing resource information modeling: establishing a process resource information base for each manufacturing process, and storing four types of knowledge, namely process data, tool knowledge, auxiliary tools and process equipment in the process of processing; modeling the process ontology information of the complex equipment, wherein the process ontology information comprises process composition information and process requirement information, and during modeling, establishing a composition relationship between the process composition information, a hierarchical relationship between the process requirement information and an association relationship between the process composition information and the process requirement information; and process resource database management module establishment: the process resource database management module establishes process resource model management and process resource object management.

This application relates to a construction safety monitoring device based on BIM and the Internet of Things (IoT). The device includes a data acquisition unit, a processing unit, a standardized physical interface, and an early warning unit. The data acquisition unit includes at least two different types of sensors. The processing unit communicates with the data acquisition unit via the standardized physical interface to receive site environmental data sent by the data acquisition unit and obtain risk analysis results. The processing unit also communicates with a BIM interaction interface to update the BIM model. The early warning unit communicates with the processing unit for risk warning. This device automatically monitors construction site safety without human intervention, solving the problems of low efficiency and reliability in construction site safety monitoring and reducing accident risks. The standardized physical interface supports flexible access to sensors and equipment, adapting to different construction site scenarios. Through the BIM interaction interface, dynamic IoT data is combined with the BIM model to achieve real-time updates of the BIM model.

The application provides a dynamic knowledge updating and privacy protection reasoning method based on retrieval enhancement generation, and relates to the technical field of artificial intelligence, which comprises the following steps: receiving a user request and constructing context data, updating and storing public and private knowledge bases; encoding the context data to obtain a context vector, and performing similarity retrieval in the public and private knowledge bases respectively to obtain public and private knowledge sets; performing privacy protection on the private knowledge set, mapping the private knowledge to semantic agent Token, calculating the weight coefficient of the semantic agent Token based on the correlation degree of the context vector and the private knowledge, and generating a semantic agent Token set; introducing reasoning constraints and templates, constructing a structured prompt and inputting a large language model, guiding the model to complete reasoning and generate a reasoning result, collecting feedback information and adaptively optimizing the model, thereby realizing dynamic updating of the knowledge base, ensuring the security of private data, and improving the accuracy and timeliness of large model reasoning.

The invention belongs to the related technical field of digital twin basin water environment simulation, and discloses a method and a system for simulating any pollution scene of a digital twin basin water environment. The method comprises the following steps: setting pollutant concentration and flow of each grid unit at t0 moment in a digital twin basin water environment model; pollution occurs at the t1 moment; setting pollution treatment modes for the input pollution position, and solving the pollutant concentration and flow of the pollution position according to different pollution treatment modes; and for the non-input pollution position, updating the pollutant concentration and flow of the non-pollution position by using the hydrodynamic pollutant migration model, thereby obtaining the pollutant concentration and flow of each position after pollution in the digital twin basin water environment model. According to the invention, the influence of the treatment mode without considering pollution on pollution diffusion after pollution occurs in the drainage basin is solved.

The invention relates to the technical field of communication, and provides a communication method, a communication device, a computer readable storage medium and electronic equipment. The method comprises the following steps: receiving and storing a quantum key sent by quantum key charging equipment through a charging interface; and transmitting communication data based on the quantum key. According to the scheme, real-time rapid charging of the quantum key can be realized through the charging interface, and the communication safety is improved.