67results about How to "Reduce communication costs" patented technology

The utility model discloses a low-power-consumption intelligent necklace for shepherds based on dual-mode energy supply. The low-power-consumption intelligent necklace for the shepherds based on dual-mode energy supply comprises a necklace body, the necklace body is provided with a detachable core unit and a dual-mode energy supply unit, and the core unit is connected with the dual-mode energy supply unit; the core unit is a TPU shell in which a positioning chip, a movable sensor, a microprocessor and a communication module which are connected with one another are packaged, and the dual-mode energy supply unit comprises a flexible solar cell, a ceramic micro generator and a micro battery.

The application provides a traffic classification method and system based on federal semi-supervised learning. The method comprises the following steps: constructing an unlabeled traffic dataset and a labeled traffic dataset; a center server decomposes a global model into supervised learning parameters and unsupervised learning parameters and initializes the parameters; the parameters and an auxiliary agent are sent to each client; each client performs unsupervised training based on the supervised learning parameters, the unsupervised learning parameters and the auxiliary agent by using a local unlabeled traffic dataset, uploads the difference between the unsupervised learning parameters to the center server; the center server aggregates and updates each unsupervised learning parameter; supervised training is performed by using a local labeled traffic dataset, and the difference between the supervised learning parameters and the difference between the unsupervised learning parameters are sent to each client; a new auxiliary agent is obtained based on nearest neighbor search, and the new auxiliary agent is sent to each client when a set sending condition is met; the two steps are iteratively executed until a stop condition is met.

The application provides a JPA-based web code automatic generation system, comprising a JPA client, a code generation server, a Java backend service module and a Vue frontend service module; the system combines JPA technology with template technology, and can generate database tables and the front end and the back end of a web application system in batches according to JPA classes at one time, thereby greatly improving development efficiency. When a user adjusts requirements, the properties of the classes are modified, and one-key generation is very convenient.

This application relates to a device control method, apparatus, digital signal processor, and electronic device. By acquiring a wake-up signal, the digital signal processor is controlled to exit a sleep state; a Bluetooth connection is established with an external terminal device via a Bluetooth module within the digital signal processor; a control signal is acquired through the Bluetooth connection, and a target functional module within the digital signal processor or electronic device is controlled to respond based on the control signal. This technical solution integrates Bluetooth functionality into the digital signal processor of the electronic device, enabling communication between the electronic device and the terminal device without requiring an additional Bluetooth chip, thereby reducing the communication cost between the electronic device and the terminal device.

This specification provides a method and system for multi-party collaborative data filtering based on privacy protection. In the filtering method, collaborating parties decompose a total filtering condition into m sub-filtering conditions, where each sub-filtering condition defines the value of a feature. The collaborating parties then send each of the m sub-filtering conditions to the participating parties that possess the feature defined by that sub-filtering condition. Next, each participating party receiving a sub-filtering condition determines its corresponding logical result set for the shared sample set and provides this logical result set to the collaborating parties. Finally, the collaborating parties aggregate the logical result sets returned by the participating parties and, based on the aggregated result, determine the filtering result for the shared sample set and provide this filtering result to the n participating parties.

This invention relates to the field of container loading optimization technology, and particularly to a container loading optimization method and system considering palletizing. The method includes setting container information, palletizing constraints, and cargo information; generating available pallet sizes and corresponding stack shapes; eliminating stack shapes with bottom coverage below a threshold; using the selected stack shapes to form transverse pallets that meet preset requirements; establishing a mathematical model and solving it using integer programming to obtain an initial loading scheme; performing mixed pallet loading on the remaining container space and remaining cargo, ensuring that the mixed pallet loading meets the requirements of full pallet coverage and full support; generating the mixed pallet loading result and a three-dimensional visualization model. This invention incorporates the entire palletizing-related calculation process into the optimization algorithm to solve the technical problems of cumbersome, inefficient, inaccurate, poor space utilization, and high labor costs in existing container loading calculation processes.

The embodiment of the invention provides a multi-service fusion integrated assembly instruction generation method and device, computer equipment and a medium, and relates to the technical field of technological process management.The method comprises the steps that according to changes of MBOM data, process routes configured with different processes are determined on the basis of process division information, a production unit which finally delivers the assembly instruction in the process route is used as a main editing unit, and an assembly instruction design task is issued; determining an auxiliary editing process through a software platform of the main editing unit, and issuing an assembly instruction design task; the software platform of each auxiliary editing unit synchronously edits, approves and publishes an assembly instruction for the respective work division process; after the software platforms of all the auxiliary editing units issue respective assembly instructions, the auxiliary editing procedure in the process route and procedures in the assembly instructions issued by the editor of the software platform of the corresponding auxiliary editing unit are subjected to combined editing, and a complete assembly instruction is formed. According to the scheme, the efficiency and expandability of assembly instruction design are improved.

The application discloses a kind of based on the image recognition model training method of multi-agency combination of grouping weighting, which can be applied to medical image recognition and other collaborative learning tasks with multiple participants.In order to alleviate the influence brought by medical image data distribution inconsistency, first, the application groups clients according to the similarity of client models and intra-group global models;For intra-group clients, the application calculates a personalized model for each client according to the similarity between the local models of intra-group clients.Compared with the prior art, the application can reduce the client computing overhead while providing better image recognition models for participants.

The application discloses an edge computing key management method for IoT user perception data trusted on-chain, and belongs to the field of mobile edge computing data security transmission. The distance priority of an IoT user intelligent device and an edge center server is designed, a key with higher distance priority is saved, the connectivity of an external edge center network of a blockchain and the performance of the IoT user intelligent device against capture are improved. The optimal division of a tree structure acyclic graph of a mobile edge network is calculated, the edge network is divided into a plurality of sub-edge networks, the IoT user intelligent device in the sub-edge network can quickly verify the intelligent device of a mobile IoT user moving into the sub-edge network, and the double-spending attack in the blockchain network can be resisted. Compared with four kinds of blockchain key management methods based on mobile edge computing in the past three years, the method provided by the application reduces the calculation cost, communication cost and storage cost in the key management method.

The present application provides an endoscope adjusting system and method, which comprises a button and a controller connected in communication; the button is arranged at a preset position of a control end of a surgical robot for an operator to input endoscope control instructions and send the endoscope control instructions input by the operator to the controller, the endoscope control instructions comprising endoscope movement instructions and endoscope parameter adjustment instructions; the controller is arranged in communication with the endoscope and controls the endoscope to move or adjust corresponding parameters according to the received endoscope control instructions. The present application enables the operator to control the movement of the endoscope and adjust the parameters of the endoscope directly through the button, so that the endoscope can be controlled according to the operator's will, the communication cost between doctors and nurses is reduced, and the adjustment of the endoscope can be realized without a large movement of the main control arm, ensuring the continuity of the operation.

The invention discloses a ship design drawing protocol system and method, and the system comprises a multi-specialty coordination confirmation module which supports the online coordination of multi-specialty departments, automatically detects the conflicts between specialties, and carries out the collision detection and visual marking through a 3D modeling tool; the shipboard and classification society auditing module is used for encrypting an outgoing drawing and supporting online annotation of auditing suggestions; and the version management and endorsement module is used for recording multiple rounds of confirmation versions and modification records, carrying out version comparison and difference analysis, and generating a DocuWorks drawing with electronic endorsement as an operation basis. The ship drawing review efficiency is improved, and drawing version management is enhanced.

This application discloses a management method, apparatus, equipment, medium, and product for event organization, relating to the field of data processing technology. The method includes acquiring event organization request information sent by a current organization; wherein the event organization request information includes at least the name of the current organization, the event type, and event request information; acquiring multiple candidate event organizations from an event resource pool; determining matching data for each candidate event organization based on the event type and the event request information; determining a target event organization matching the current organization from the multiple candidate event organizations based on the matching data; and determining an event organization scheme associated between the current organization and the target event organization based on the event organization request information. This application can improve the efficiency of event organization.

The application discloses an intelligent cabin sound system abnormal sound prediction method based on a frequency domain substructure method, and belongs to the field of automobile NVH and intelligent cabin acoustic design; the intelligent cabin sound system is modularized and decoupled into a loudspeaker excitation, a door assembly, a roof lining, a seat assembly and a body-in-white subsystem, and a lead matrix of each subsystem is independently established; the lead matrix of the subsystem is progressively completed by using frequency domain substructure coupling; the loudspeaker excitation is decomposed into structural concentrated force excitation and sound field distributed equivalent excitation, and is uniformly represented as an excitation force vector in the frequency domain; a target component vibration acceleration response spectrum is obtained, abnormal sound risk determination, positioning and visual cloud map output are completed according to three-layer BSR evaluation criteria of an acceleration RMS threshold, a characteristic frequency peak value and a transfer function peak-valley ratio; the application breaks through the bottleneck of large traditional calculation amount, weak decoupling capacity and inability to modularize iteration, and significantly improves the acoustic quality and development efficiency of the intelligent cabin.

The invention relates to an accounting intelligent data analysis platform and method, and belongs to the technical field of accounting. The platform comprises a background support module, an application service module, an accounting knowledge base, a plurality of MCP servers, an agent main control module and an accounting intelligent assistant client. According to the invention, a natural language interaction interface is provided for accountants, trend analysis and correlation analysis are carried out on accounting business data and report data, dynamic parameters of a report risk monitoring model are supported, static parameter setting of the report risk monitoring model is supported, and the report risk monitoring efficiency is improved. Problems in accounting reports and businesses are found through the development trend of report data items and data item correlation, the business development situation is predicted through the development trend of business data, and decision support capacity is provided for accounting business development.

The invention discloses a logistics freight cooperation system supporting multi-party cooperation, and the system comprises a logistics freight cooperation system, and a waybill processing module, a waybill examination and approval module, a waybill monitoring module, a delivery planning module, a business cooperation module, an electronic contract module and an employee management module which are connected with the logistics freight cooperation system. The waybill processing module is used for creating waybills, synchronizing freight information to manufacturers and traders in the logistics freight collaboration system, and generating electronic contracts according to the freight information; the waybill monitoring module is used for monitoring the vehicle position and state, the cargo state, the signing state and the tracing operation record, and informing related personnel in time when the vehicle arrives at night or is in an abnormal state; the delivery plan module is used for managing delivery plans, and traders and cooperative carriers thereof synchronize residual tonnage in real time. According to the invention, except for confidential information, related carriers, traders, manufacturers and drivers share information in the whole process, so that the communication cost is greatly reduced; the paper receipt is electronized by using the electronic contract, and the receipt approval and signing process is simplified.

The application discloses a personalized picture retrieval method in a federated learning scenario. It includes: 1) loading a public picture-text pair dataset to generate a model training dataset; 2) based on the text information in the dataset in step 1), the tokenizer word segmentation tool is used to obtain the mapping relationship between words and Token positions; 3) based on the picture information in the dataset in step 1), the picture tensor is obtained after preprocessing; 4) a unified model is constructed based on the pre-training model CLIP; 5) the unified model is trained using the text and image expressions obtained in steps 2) and 3); 6) image retrieval is performed using the unified model trained in step 5), and pictures consistent with the query text are obtained. The application designs a private retrieval database for the federated learning client, integrates client-specific information into the pictures and text, and solves the problems of retrieval accuracy decline and slow convergence caused by the non-independent and identically distributed characteristics of data in the federated learning scenario.

The application relates to a device remote connection method, device, medium and device, which is applied to an operation and maintenance platform and comprises the following steps: receiving a remote connection request of a client, wherein the remote connection request comprises a target access end device; when a WebSocket connection is not established between the target access end device and the operation and maintenance platform, adopting a message queue mode to inform the target access end device to send a request for establishing the WebSocket connection to the operation and maintenance platform, and establishing the WebSocket connection; through the WebSocket connection, establishing a remote connection session of the client to the target access end device, and bidirectionally transmitting operation data of the client and response data of the target access end, so that an operation and maintenance personnel remotely operates the target access end through the client. An additional proxy program does not need to be deployed on the access end device, the workload of operation and maintenance and the complexity of the system are reduced, and communication cost and processing time are reduced.

This invention relates to the field of charging management technology, and in particular to a charging optimization scheduling method that integrates an embedded carbon flow engine with vehicle-charging pile collaboration. The method includes the following steps: S1: Fusion of multi-source data layers for dual energy and carbon control; S2: Construction of an embedded carbon flow prediction engine; S3: Collection of multi-dimensional status information from vehicles, charging piles, the network, and passenger transport operations, and construction of an uncertainty model; S4: Construction of a multi-objective stochastic optimization model incorporating battery health; S5: Distributed collaborative decision-making of the charging pile cluster; S6: Two-way interaction between vehicles and charging piles and dynamic replanning; S7: Linked optimization of charging scheduling and passenger vehicle allocation; S8: Carbon footprint tracing and carbon credit settlement. This invention embeds a carbon flow prediction engine into the charging pile controller, and combined with multi-source data fusion technology, achieves accurate and forward-looking prediction of carbon intensity. The prediction dimension incorporates passenger transport business time-series data, making carbon flow prediction more aligned with passenger transport scenarios.

This application provides a method and apparatus for linking supplier profiles with procurement activities. The method includes acquiring multi-source heterogeneous data related to a target supplier from multiple data sources. Upon detecting a change in any data point within this heterogeneous data set, the method triggers a real-time recalculation of the target supplier's health score to obtain a real-time health score. This real-time health score is then used to determine and execute the control strategy for the target supplier within the procurement transaction system, thereby achieving dynamic control over procurement activities involving the target supplier. This method enables real-time supplier status awareness, constructs a hierarchical and categorized differentiated control system, effectively solves the problems of limited control methods and delayed risk response, and significantly reduces compliance and financial risks.

The invention discloses a distributed photovoltaic cloud access real-time supervision system method and device, and the method comprises the steps: transmitting photovoltaic power generation operation data to an APN private network, carrying out the security policy filtering and access control through a firewall filtering policy, allowing an authorization data packet to pass through, and forwarding the authorization data packet to an external network interface machine; after performing preliminary verification and format standardization processing on the received authorization data packet, generating a sampling instruction according to a preset sampling strategy; by taking the time point of the finally successfully received data as a reference, identifying a missing data segment, and regenerating a sampling instruction to request supplementary sampling; merging the complementary collection data with the original time sequence data; enabling the collected real-time data and historical data to form an encrypted file, and transmitting the encrypted file to an intranet interface machine; and the intranet interface machine calls the encrypted data file, analyzes the encrypted data file, and finally sends the encrypted data file to the server platform through the forward gatekeeper. According to the invention, the safety, reliability and economical efficiency of the distributed photovoltaic monitoring system are significantly improved.

The present application belongs to the technical field of supply chain management, and particularly relates to a control and sale commodity directional sharing system and method based on permission approval, wherein the method comprises the following steps: S1: in response to a list creation request of a business, obtaining business identity information, target customer information and candidate commodity information; S2: calling a pre-set permission verification engine, and performing pre-position permission verification on the combination of the business, the target customer and the candidate commodity based on a multi-dimensional permission data model; S3: if the verification is passed, the business is allowed to build a sharing list for the target customer from the commodities within the permission range, and a list snapshot ID bound to the list is generated; S4: the built sharing list is submitted to a pre-set approval process; S5: a time-limited sharing link or a two-dimensional code is generated based on the list snapshot ID; and S6: in response to an access request of the target customer through the sharing link or the two-dimensional code.

This invention discloses a collaborative optimization method, system, and medium for intelligent power grid emergency repair based on a closed-loop perception-decision-execution system. The method first collects meteorological data, resource allocation data, power grid data, and road traffic data from the disaster-stricken area, integrating them into multi-source perception data. This data is then input into a two-layer optimization model for calculation. The outer layer model combines the fault location, road conditions, and load levels to generate the optimal repair path decision, while the inner layer model outputs a fault recovery decision based on the power grid topology and load priority. Finally, the two types of decisions are converted into emergency repair resource scheduling instructions and power grid control instructions, respectively, and emergency repair operations and load restoration operations are executed simultaneously. This invention effectively solves the problems of difficult path selection, information asymmetry, and slow response speed faced by power grid repair and restoration when power failures are caused by natural disasters or accidents, significantly improving the emergency response capability and power supply restoration speed of the power grid, and effectively ensuring power supply stability and security.

The invention provides a spacecraft general assembly data fusion processing system and method, and the system comprises a dual-core architecture which comprises a general assembly cooperation model module and a knowledge-driven engine module; the hierarchical classification database is connected with the dual-core architecture; the version penetration management module is used for establishing a product version penetration management mechanism based on a preset code; and a rule verification engine for automatically verifying the data based on a preset rule. The method comprises the following steps: carrying out collaborative sharing and intelligent decision making through a dual-core architecture, storing spacecraft general assembly data into a hierarchical classification database for standardized storage, establishing a product version penetration management mechanism, and automatically checking the data based on a preset rule obtained from a knowledge-driven engine module. According to the method, the data normalization and accuracy can be remarkably improved, the full-life-cycle accurate tracing of the data is realized, and the cross-professional collaboration efficiency is improved.

The invention discloses an index calculation dynamic scheduling method and system based on topological sorting, and the method comprises the steps: firstly constructing an index blood relationship directed acyclic graph according to index metadata and a dependency relationship, carrying out topological sorting to determine a calculation sequence, and initializing a computable list containing all basic indexes; the system adopts a master-slave distributed architecture, wherein a master node maintains a computable list and a node state in a graph; a plurality of slave nodes circularly request tasks from the master node; the main node responds to the request, distributes computable indexes and marks the computable indexes as distributed indexes; the slave node notifies the master node after executing calculation, the master node immediately marks the node as completed, and checks whether subsequent nodes of the node meet a computable condition, and if yes, the subsequent nodes are added into a computable list; the process is cyclically carried out until all nodes are calculated; according to the method, parallel execution of independent tasks is realized, and waiting and synchronization overhead is effectively reduced, so that the calculation efficiency and the resource utilization rate are improved.

This invention discloses a frequency control method, system, electronic device, and storage medium for cascaded microgrids. It includes: real-time acquisition of electrical parameters of the cascaded microgrid and each series inverter unit within it; determining the active and reactive power of each series inverter unit based on the electrical parameters; establishing a series inverter synchronization control logic; synchronizing the frequency and phase of each series inverter unit according to the series inverter synchronization control logic; establishing a distributed secondary frequency control logic based on the characteristic that all series inverter units in the cascaded microgrid have the same current; and performing secondary frequency recovery control on each series inverter unit according to the distributed secondary frequency control logic. This method enables frequency control without communication, reducing communication costs, avoiding communication delays, packet loss, and fault risks, and improving the reliability of the cascaded microgrid system.

This invention relates to the field of intelligent office work, and discloses an office assistance method, device, equipment, and medium, comprising: receiving an office task in natural language form input by a task initiator; using a large model to perform intent recognition and key information extraction on the office task in natural language form, obtaining intent recognition results and key information; generating task requirements based on the intent recognition results and key information; and sending the task requirements to the task executor. This solves the problem in the prior art where misunderstandings of office tasks lead to employee errors and low office efficiency.

This application provides an agile development method, apparatus, equipment, and medium for vehicle air conditioning control software, effectively addressing several shortcomings of existing vehicle air conditioning software development models. The method includes: constructing a visual model of multiple components of the vehicle air conditioning system in a modeling module according to requirements, and configuring the corresponding visual model by dragging and dropping core air conditioning components and connecting them; a central data dictionary responding to requests from an intelligent code generation engine, providing standardized data entities, enabling the intelligent code generation engine to map the standardized data entities to the visual model through a three-layer mapping architecture to obtain target code; the three-layer mapping architecture includes a semantic-data mapping layer, a platform adaptation layer, and a security and compliance layer; verifying the target code based on a three-layer verification structure to obtain verification results, and then implementing agile development of the vehicle air conditioning control software based on the verified target code.

The invention discloses a power distribution network user self-discipline voltage regulation method and system based on responsibility definition, and the method comprises the steps: firstly obtaining a power distribution network topological structure, time-of-use electricity price information and photovoltaic power and load prediction data at a day-ahead stage, and constructing an economic dispatching model with the minimization of system network loss cost and reactive service cost as a target; the decision variables comprise tap gears of an on-load voltage regulating transformer, reactive power output of a power distribution substation and reactive power output of each photovoltaic user, and solving to obtain a day-ahead scheduling scheme; establishing a reference operation state based on the scheme, and establishing a corresponding linearization voltage sensitivity relationship; in the intraday operation stage, the actual active power output of each photovoltaic user is collected, and the node voltage deviation caused by the deviation between the actual photovoltaic power output and the predicted value is calculated by using the node self-sensitivity coefficient; according to the voltage sensitivity relation, reactive compensation amount required for stabilizing the voltage deviation is determined, and quantitative definition of voltage regulation responsibility is achieved; each photovoltaic user autonomously updates the reactive power output to complete the self-discipline regulation, and the distribution network dispatching center monitors whether the operation state after the self-discipline voltage regulation meets the safety operation requirement or not.

The invention discloses a sound effect parameter adjustment method, electronic equipment and a readable storage medium, and relates to the technical field of sound effect control, the method comprises the steps that prototype design information for a target sound effect algorithm is acquired, the prototype design information at least comprises parameter definition information, and the parameter definition information is used for defining adjustable parameters of the target sound effect algorithm; generating a prototype definition file based on the prototype design information; and in response to a parameter adjustment request for the target sound effect algorithm, analyzing the prototype definition file to obtain parameter definition information, and generating a corresponding sound effect parameter adjustment interface based on the parameter definition information, so that a user performs parameter adjustment on the sound effect parameter adjustment interface. According to the method, the development and deployment efficiency of the sound effect parameter adjustment function is improved, and quick response and flexible adaptation of the parameter adjustment process are realized.

The present application relates to the technical field of system engineering, and relates to a method for supporting conversion of an automobile motor system architecture model to a simulation model. A domain meta-model library for constructing the automobile motor system architecture model and a template library of Simulink models are acquired. According to a construction requirement of the automobile motor system architecture model, a target automobile motor system architecture model is constructed. Each template corresponding to the target automobile motor system architecture model is determined from the template library as a template set of the target simulation model. According to the attributes of each meta-model contained in the target automobile motor system architecture model, each template in the template set is filled in to generate a target simulation model code according to each filled template, and a target Simulink simulation model is generated according to the target simulation model code. By constructing a mapping relationship between the domain meta-model library and the Simulink template library, automatic conversion of the automobile motor system architecture model to the simulation model is realized.