104results about How to "Realize management" patented technology

The invention discloses an academic information conflict resolution method based on evidence intensity index grading. According to the method, all conflict viewpoints and traceability chains thereof are reserved by adopting a'full-amount retention, non-merging and non-deleting 'strategy; calculating a multi-dimensional weighted evidence intensity index of a comprehensive journal influence factor, an introduced frequency and an author academic influence for each literature; judging the conflict severity according to the difference value of the evidence intensity indexes of the two conflict parties, wherein the smaller the difference value is, the higher the severity is; modeling a conflict cluster into an auxiliary node layer in a graph database, and superposing the auxiliary node layer on a core graph without interfering with an ontology framework; conflict severity ranking results drive calibration reduction of downstream weight calculations. The method can be used for information conflict management in academic knowledge graph construction, and interpretable conflict severity grading reference is provided.

The invention discloses a digital twinning long-span bridge earthquake wind vibration and vibration reduction and isolation system and method, the system takes a high-fidelity digital model for constructing a long-span bridge as a basis, comprises full life cycle monitoring and management of the bridge under earthquake, wind vibration and vibration reduction and isolation conditions, and is based on a sky-air-ground-water integrated ubiquitous sensing module. In combination with artificial intelligence algorithms such as deep learning and a pulse neural network, real-time state evaluation of a bridge structure, material nonlinear analysis, geometric nonlinear analysis, multi-point excitation and pile-soil-structure interaction simulation, wind-induced fatigue damage prediction, earthquake vulnerability evaluation and closed-loop control scientific decision based on an artificial intelligence body are realized. According to the invention, system support and method guidance can be provided for large-span bridge anti-seismic and anti-wind design, intelligent monitoring, operation and maintenance management and vibration reduction and isolation system optimization.

The embodiment of the invention provides a security management method and device, a security chip, electronic equipment and a storage medium. The method is applied to a security chip, the security chip is connected with a management component of the computing device through a first interface arranged on first security processor firmware, a first storage medium is arranged on second security processor firmware of the security chip, and the method comprises the following steps: responding to a data access instruction; and running the first secure processor firmware and the second secure processor firmware, and executing an access operation of the measurement data corresponding to the data access instruction in the first storage medium based on a communication mechanism between the first secure processor firmware and the second secure processor firmware. According to the technical scheme, data communication between the management component and the second security processor firmware is realized, so that the management component can read the measurement data in the first storage medium, and the security state of the computing equipment is monitored and managed.

This invention relates to the field of automated testing technology and discloses a unified configuration method and apparatus for signal development and testing systems. This invention achieves flexible configuration and management of the testing system by constructing multiple mapping relationships. Specific steps include: matching general test resources and establishing resource-UUT electrical mappings based on UUT electrical interface information; constructing UUT performance-third-party performance mappings for systems containing third-party resources; establishing resource-third-party mappings for scenarios involving interaction between dynamic models and third-party resources; establishing model-UUT ICD mappings or dynamic model-resource mappings according to the dynamic model type; forming model-model mappings during multi-dynamic model co-simulation; establishing UUT-UUT electrical mappings when the test equipment connects to multiple UUTs and needs to switch between them; and constructing resource-resource electrical mappings for equipment calibration or self-testing. This invention effectively improves the versatility and adaptability of the testing system and solves the configuration challenges in complex testing scenarios.

The invention relates to the technical field of central heating, in particular to a heat supply pipe network balance regulation and optimization system based on big data, which comprises a big data acquisition module, a pipe network model construction module, a balance regulation and optimization module and an execution and monitoring feedback module. An improved adaptive genetic algorithm is adopted to solve a multi-objective optimization problem of energy consumption, heat supply uniformity and maintenance cost, optimal regulation and control parameters are output, leakage detection, heat demand pre-judgment and smart city docking functions are integrated, and closed-loop regulation and control and intelligent operation and maintenance are realized. Application shows that heat supply uniformity is larger than or equal to 0.95, the maximum energy consumption saving rate is 18.3%, leakage response is smaller than or equal to 30 s, heat supply quality, energy-saving benefits and operation and maintenance efficiency are remarkably improved, and complex pipe networks and diversified heat utilization requirements are met.

The invention relates to the technical field of mutual inductor harmonic current detection, and provides a mutual inductor harmonic current detection method and system. The mutual inductor harmonic current detection method comprises the following steps: carrying out fast Fourier transform on a preprocessed mutual inductor current signal, and extracting a harmonic current signal; extracting harmonic current signal local features of a short time scale from the harmonic current signal, and then capturing long-term time dependence of the harmonic current signal local features of the short time scale to obtain harmonic current signal features; variational mode decomposition is carried out on the harmonic current signal characteristics to obtain the amplitude of each harmonic, the proportion of the amplitude of each harmonic to the current amplitude of the rated current of the transformer is calculated, and error correction is carried out on each harmonic in combination with the pre-constructed mathematical relationship among the harmonic number, the current amplitude proportion and a correction coefficient to obtain the harmonic current. The total harmonic distortion rate is calculated according to the harmonic after error correction, harmonic current detection can be rapidly and accurately achieved, and the influence of noise interference on detection precision is reduced.

The application provides a ship-vehicle-person virtual image establishment method and system, which comprises the following steps: obtaining ship, personnel and vehicle data as source data for preprocessing, calculating and mining labels according to the preprocessed source data, and producing ship, personnel and vehicle labels; defining hierarchical labels; defining group labels; extracting basic attributes of the ship, personnel and vehicle; defining personalized labels, adding personalized labels to the ship, personnel and vehicle according to their basic attributes and respective source data; defining correlation relationship labels among the ship, personnel and vehicle; creating a label table in a database, adding the calculated labels into the label table, and then performing correlation analysis on the respective source data of the ship, personnel and vehicle and the label table according to business requirements to obtain index data; and providing the index data to a ship-vehicle-person virtual image system for drawing charts. The application can improve traffic operation efficiency, safety and risk prediction.

The invention provides a pet self-adaptive feeding recommendation method and system based on AI image analysis, and the method comprises the steps: firstly monitoring food images of a feeding disc of feeding equipment at the moment of food discharge stopping and pet feeding leaving, obtaining a food state image set of the feeding disc, carrying out the AI image analysis of the food state image set of the feeding disc, and obtaining a food state image set of the feeding disc; feeding time and food intake information are extracted, a pet food intake data set is formed, the pet food intake data set is input into a pre-trained feeding demand prediction model, and the next hunger time and food intake prediction result of the pet is obtained through fitting analysis. Self-adaptive feeding recommendation information containing recommended feeding time and recommended feeding amount is generated according to the next hunger time and food intake prediction result of the pet, and finally the self-adaptive feeding recommendation information is pushed to an associated mobile terminal for a user to check and decide whether to execute feeding operation or not. Personalized, intelligent and precise management of pet feeding is realized.

The hydropower station perimeter intrusion detection system comprises a radar monitoring module, a video monitoring module, a data processing module, a communication module, a control module, a power supply module, an early warning module, a data storage module and a compatible integration module. The radar monitoring module adopts laser radar equipment, and targets such as intruded foreign personnel in the surrounding environment are obtained by transmitting radar waves to the surrounding environment of the hydropower station and receiving and reflecting the radar waves. The accuracy and reliability of the hydropower station perimeter intrusion detection system are improved by adopting the Leiyu fusion technology and combining various technical means, so that the perimeter safety of the hydropower station is guaranteed. Meanwhile, the system has the advantages of real-time performance and reliability, the system can be compatibly integrated to a hydropower station electronic precaution system platform, new technical means and support are provided for hydropower station safety management, and the system has great significance in improving the safety level and accuracy of a hydropower station perimeter intrusion detection system.

The invention relates to a machine room ceiling condensation and leakage monitoring and processing method, device and equipment and a medium. The method comprises the steps that environment temperature and humidity data and leakage detection signals in a machine room are collected in real time; determining a condensation risk index corresponding to each cabinet in the machine room through the temperature and humidity data and preset equipment arrangement parameters; and determining a corresponding dehumidification strategy and / or drainage strategy based on the condensation risk index and the leakage detection signal, and correspondingly processing the machine room. The device has the effect of improving the machine room ceiling accumulated water and leakage treatment efficiency.

This application discloses an automatic data management function generation system and device, applied in the database field. The device is equipped with the system. The system includes: a data source design module for generating table metadata in response to user input commands in a graphical design interface; an automatic form generation module for generating front-end code for forms by recognizing the table metadata; a business layer data encapsulation module for encapsulating the front-end form data, enabling the encapsulated form data to interface with back-end business logic; and a historical data management module for storing historical versions of form data. This reduces workload while avoiding code oversights and errors caused by human error.

The invention discloses a heterogeneous environment prediction model training and deployment method and system, and relates to the field of prediction model training. In order to overcome the defects that an existing model training and deployment method is large in development difficulty, low in deployment efficiency and lack of unified management of multiple versions, an integrated development environment and an integrated development framework are used, and multiple pre-training models and operators are built in; carrying out data preprocessing and exclusive model building, obtaining training data to carry out model training, and generating a training model; all training models are arranged in a model center for unified management; aPI service development is carried out, a unified model algorithm reasoning framework is adopted, self-defined service development is carried out, and self-defined AI service is generated; the AI service is audited and published to be online, and the online AI service is used by an external application; based on distributed task scheduling and service arrangement, AI services are scheduled and run on a service running platform. The method is mainly used for establishing the prediction model for the heterogeneous environment.

The utility model discloses a heat pump unit and an air conditioning system. The heat pump unit comprises a refrigerant flow path, a plurality of heat exchange assemblies and a plurality of adjusting valves, wherein the heat exchange assemblies and the adjusting valves are arranged on the refrigerant flow path and can be used for adjusting working modes of the heat pump unit. At least one heat exchange assembly in the heat exchange assemblies is composed of a first heat exchange part and a second heat exchange part, and heat exchange can be conducted between the first heat exchange part and the second heat exchange part. Compared with the prior art, the fin type heat exchanger and the driving plate heat exchanger are arranged to be composed of the two heat exchange parts, heat exchange can be conducted between the two heat exchange parts, and therefore waste heat of the fin type heat exchanger, invalid heat dissipation of the driving plate radiator and other part of heat can be used in a combined mode to conduct heating or water heating. Comprehensive management and reasonable utilization of a plurality of heat sources in different working modes are realized, and the utilization rate of heat is improved.

The present invention relates to the technical field of operation and maintenance management, and specifically relates to an integrated operation and maintenance management system and method based on AIOps; the method includes: collecting multi-source IT operation and maintenance data and completing standardized preprocessing to form operation and maintenance data input in a unified format; classifying and storing the preprocessed data using a hybrid storage architecture, and implementing data synchronization through a cross-database synchronization tool to break data silos; performing intelligent analysis on the data based on the TensorFlow framework to generate fault diagnosis results and performance trend prediction data; generating operation and maintenance decisions according to the analysis results, and performing automatic repair, work order allocation or resource scheduling operations; outputting operation and maintenance management results, presenting data and decision execution situations through a visualization interface, and providing report generation and management configuration functions; through a full-process automated data processing and intelligent operation and maintenance decision-making mechanism with multi-module collaboration, the technical problems of slow fault response, weak data integration, low accuracy of risk prediction and low operation and maintenance efficiency in the traditional operation and maintenance mode are solved.

The invention provides an intelligent sample storage cabinet, and relates to the technical field of sample transportation and storage devices. The storage cabinet comprises a cabinet body and a controller, a specified placement area is reserved in the cabinet body and used for storing a drawable sample box, and the sample box is used for storing a to-be-tested sample; a box body detection switch is arranged at the position, corresponding to the edge of the front end of the sample box, in the cabinet body and used for detecting whether the sample box is pulled in place or not; a safety light curtain is arranged on the outer side of a specified placement area in the cabinet body and is used for detecting whether other objects except the sample box exist in the cabinet body or not; a key panel, an entrance guard detector and an automatic door opening assembly are arranged on the front side of the cabinet body, and the automatic door opening assembly is used for opening or closing the cabinet body according to a detection result of the entrance guard detector; a cabinet body detection switch is arranged on the outer side of a specified placement area in the cabinet body and is used for detecting whether a sample box is placed in the specified placement area or not; and a display screen is arranged above the sample box.

This invention discloses a communication system and method for cross-domain data interaction based on the OCPP protocol stack. The system includes an OCPP cloud server and at least one pre-configured electric vehicle charging device for managing electric vehicle charging piles. The OCPP cloud server has functional modules running on the existing OCPP protocol stack and communicates with the electric vehicle charging device via data transmission commands. The communication system also includes at least one independent gateway, or the electric vehicle charging device integrates a gateway. The gateway is configured to: interpret standard data transmission commands from the OCPP cloud server and map their content to the local IoT network environment; simultaneously, it can also receive information and control commands from second-domain devices (not electric vehicle charging devices) and upload them to the OCPP cloud server via the same OCPP communication mechanism. Thus, by utilizing existing Electric Vehicle Charging Protocol (OCPP) cloud server resources, management and control of cross-domain IoT devices can be achieved.

This invention discloses an integrated intelligent server rack system for data centers, relating to the field of data center technology. To address the problems existing in current technologies, the system specifically includes multiple server racks and an internal private network. Each server rack contains an intelligent control manager for monitoring its operational status, power supply equipment, cooling equipment, and multiple servers. The system has a two-tiered organizational structure consisting of an upper-layer framework and a lower-layer framework. Each server is connected to an external public network via a network cable and also to the internal private network via a network cable, managed and controlled by the intelligent control manager. The power supply equipment integrates a main power supply, a backup power supply, and a dual-input intelligent switching switch. By introducing an intelligent control manager and an internal private network, this invention achieves intelligent supervision, management, and control of all server racks and servers within the data center, improving the security, management efficiency, and operational efficiency of the data center.

The utility model relates to the technical field of commodity shelves, especially to an intelligent hanging frame assembly and an intelligent shelf, which comprise: a connecting seat for connecting with a shelf; a hanging rod for hanging commodities, the hanging rod having a connecting end fixed to the connecting seat and an access end for the access of commodities; and a mounting rod having a mounting seat mounted thereon, the mounting seat being provided with a sensing assembly, the sensing assembly having a sensing area, the sensing area being located outside the access end of the hanging rod, and the sensing assembly being used for sensing whether an object exists; and a taking judgment module for receiving the sensing signal of the sensing assembly to determine whether a commodity is taken. The application has the effects of real-time monitoring and management of convenience store shelf commodities and sensing when a customer takes and returns a commodity.

This invention relates to the field of natural language processing and information extraction technology, and discloses a method for automatic generation and iterative optimization of annotation guidelines for event extraction. The method includes: generating initial annotation guidelines based on annotation samples using a large language model and compressing them into lightweight guidelines for predefined event types; employing a two-stage extraction strategy, first identifying event types using the lightweight guidelines, and then recalling complete guidelines based on the types for end-to-end extraction to obtain prediction results; identifying and clustering prediction errors based on a predefined set of event-layer and argument-layer error types to form error clusters; and generating update operations for the annotation guidelines using a large model for each error cluster, and completing iterative optimization after verification of effectiveness. This invention achieves automated generation and continuous evolution of annotation guidelines, and significantly improves the maintainability, generalization ability, and event extraction performance of the guidelines through structured representation and error clustering mechanisms.

The application discloses a safety helmet temporary storage device, which comprises a cabinet body, a plurality of temporary storage units arranged on the cabinet body in sequence, and at least one transfer unit movably arranged on the cabinet body and capable of being connected to the temporary storage units by movement. Short conveying belts are arranged on the temporary storage units and the transfer unit. When the temporary storage unit and the transfer unit are connected, the safety helmet is conveyed from the temporary storage unit to the transfer unit by the short conveying belt. The safety helmet temporary storage device has the cabinet body and the plurality of temporary storage units, and the staff can temporarily store the safety helmet in the temporary storage unit, thereby shortening the storage time of the staff and reducing the time of the staff staying in the radiation area. The safety helmet temporary storage device further comprises the transfer unit, and the safety helmet in the plurality of temporary storage units can be sequentially transferred to the next process flow by the transfer unit, thereby realizing automatic control and management.

The invention relates to the field of session semantic merging, in particular to a session semantic extraction intelligent merging method for audio semantic recognition, which comprises the following steps of: obtaining an audio-metadata binding set with a unique fragment identifier and candidate semantic fragments, obtaining a semantic unit set with a multi-dimensional attribute index, constructing a high-dimensional feature vector space by taking a semantic unit set with a multi-dimensional attribute index and a cross-queue candidate association index as input, obtaining a clustering cluster set, extracting a core semantic topic of each clustering cluster in the clustering cluster set, constructing an intra-cluster semantic unit association graph, and obtaining a core dominant unit; and obtaining a preliminary combined semantic text of the clusters, and obtaining a complete semantic text after the clusters are combined. According to the method, the standardized high-dimensional feature vector space is constructed based on the multi-dimensional features, the core attributes of the semantic units are comprehensively represented, the reasonability and accuracy of cluster division are improved, and meanwhile, accurate tracing of the features and the semantic units is achieved through the feature vector-semantic unit mapping table.

The utility model discloses a kind of factory area perch aquaculture pond systems of convenient grading fishing and feeding, including aquaculture pond body, the bottom of aquaculture pond body is equipped with the fish collecting groove of inclination, fish collecting groove connects grading fishing channel, and different specifications grading net are equipped in channel;Aquaculture pond body upper is equipped with the feeding device containing slide rail, moving frame and bait feeder;Water quality and temperature monitoring device are equipped in aquaculture pond body, outside is equipped with controller, each device is electrically connected with controller;The system can realize perch grading fishing, uniform feeding and intelligent monitoring management of aquaculture environment, improve fishing efficiency, reduce aquaculture cost, provide good environment for perch healthy growth.

This application provides a source code modification method, apparatus, and electronic device based on a large model, relating to the field of software development technology. The source code modification method based on a large model includes: responding to receiving an interactive operation on a first page element of a target object; determining a first tree node in the source code abstract syntax tree structure of the target object corresponding to the first page element; and obtaining the first source code location information carried by the first tree node; obtaining the associated source code file corresponding to the first tree node based on a pre-constructed source code file relationship graph and the first source code location information; obtaining modification intent information corresponding to the first page element; generating a modification semantic description corresponding to the first page element based on the modification intent information; and inputting the modification intent information, modification semantic description, and associated source code file into a pre-trained large model to modify the associated source code file through the large model. This application can improve the comprehensiveness and accuracy of source code modification based on a large model.

A wireless networking method, system, medium, and device for multi-scenario energy storage devices are disclosed, relating to the field of wireless networking technology. The method includes: acquiring the product series of each energy storage device in the target network; determining the master and slave devices based on the product series of each energy storage device; controlling the slave devices to establish a communication connection with the master device based on the Bluetooth MAC address of the master device; and, upon receiving a successful connection signal, acquiring real-time data from each energy storage device and uploading the real-time data to a cloud platform. Implementing the technical solution provided in this application can improve the transmission efficiency of data related to energy storage devices.

The invention discloses an AI model management method and device and communication equipment, and belongs to the technical field of communication, and the AI model management method comprises the steps that first communication equipment sends first information of a target AI model to second communication equipment, and the first information comprises at least one of a first identifier and a second identifier; a model identifier is used for indicating the target AI model, model management of the target AI model is carried out, and the model identifier is associated with at least one of the first identifier and the second identifier; wherein the first identifier is used for indicating the structure of a target AI model, and the second identifier is used for indicating model parameters of the target AI model.

The application discloses a kind of water and electricity plant intelligent operation and maintenance management system and method based on machine learning, belong to water and electricity plant operation and maintenance technical field.The application collects water and electricity plant multidimensional data, carries out data preprocessing, storage enters data warehouse;Unified metadata label is defined, and data blood relationship tracking mechanism is established;Determine the starting point of tracing, based on storage location backtracking, trace data access history, according to data flow chart backtracking, integrated data traceability chain is obtained;Entity recognition and relationship extraction are carried out, and Neo4j is used to build associated graph;The relationship between power grid dispatching data and equipment operation is analyzed, and the associated graph is adjusted;Identify dominant abnormality and implicit abnormality, based on associated graph fusion, obtain water and electricity plant abnormal data;The trend of equipment operation data and sensor monitoring data is predicted, combined with residual analysis positioning deviation value, obtain data fluctuation mode, analyze correlation, obtain the source of water and electricity plant abnormal data.

The invention discloses an AIOT equipment context management method and device, equipment, a medium and a product. The method comprises the following steps: sending an equipment context change request to a wireless access network; and receiving a response fed back after the context of the wireless access network is changed, and updating the equipment context information. According to the scheme, the equipment context information of the association relationship between the wireless access networks is managed through the core network, the up-down change request is sent according to the equipment context information, RRC connection control is carried out, and management of the association relationship between the wireless access networks is achieved.

The application discloses a kind of scientific research data analysis platform for fast radio burst, including data management module: for the structured, standardized, standardization management fast radio burst related scientific research data;Fast radio burst searching module: for searching fast radio burst in radio telescope observation data, and intercept fast radio burst sample storage in database;Fast radio burst sample analysis module: based on astronomical data analysis algorithm component, fast radio burst sample is in-depth analyzed, and analysis result is transmitted to visual module;Visual module: based on real galaxy distribution constructs 3D celestial sphere model, and fast radio burst data and analysis result are shown on the corresponding position of celestial sphere model.The application provides fast radio burst data acquisition, management and sharing function, constructs rich standardization data analysis capability, realizes analysis result visualization, greatly improves data acquisition and analysis efficiency, promotes astronomical achievement sharing, accelerates scientific research achievement output.

The utility model provides a radar station security defense system, comprising a radar data acquisition device, a radar station environment monitoring device and a working host, the radar data acquisition device and the radar station environment monitoring device both transmit data to the working host; the radar data collection device is used for collecting data generated in the working process of a radar and comprises a first processor, a first power module and a data interface, the radar station environment monitoring device is used for detecting data of the surrounding environment of the radar station and comprises an inspection vehicle, and the inspection vehicle comprises a vehicle body, a direct current motor, an electrode driving plate and a bottom layer controller. A data acquisition device and a data processing device are arranged on the vehicle body, an ultrasonic range finder is further arranged in front of the vehicle body, and the ultrasonic range finder is electrically connected with the second processor; the infrared sensor is arranged outside a machine room of the radar station, is used for detecting human body information in a set range and is connected with the working host. According to the utility model, the safety and reliability of the radar station are improved, and the intelligent degree is high.

The utility model belongs to the horticultural flowerpot technical field, concretely relates to a flower planting pot, include: base body, the component of hanging, the component of hanging sets up in the top of the circumference side of base body, the component of water culture, the component of water culture sets up in the middle part of base body and is located the inside of the component of hanging, the component of soil culture, the component of soil culture sets up in the circumference side of base body and is located the outside of the component of hanging, annular pot, annular pot sets up in the bottom of base body, and annular pot top and the component of soil culture bottom interval arrangement, for solving the problem of monomer flowerpot not adapting to the matching planting of the tray, and because of different flowers, its root system is mixed, and the requirement for moisture, fertilizer is also not consistent, if the different kinds of flowers are planted in the monomer flowerpot, its management is extremely inconvenient.