1143 results about "Multiple function" patented technology

The invention discloses a construction method and device of a digital power system based on a multifunctional agent. Respectively extracting feature production element data and control production element data from the power data of the power plant side and the power grid side; constructing a target data vector based on the power function demand, and determining key control production element data associated with the power function demand; learning by using an artificial intelligence algorithm to obtain a mapping function between the target data vector and the key control production element data, constructing a functional operator taking the mapping function as a kernel, and constructing an intelligent agent based on the functional operator; and adding the intelligent agents corresponding to the different electric power function requirements into the digital electric power system to serve as electric power function implementation units. According to the system, diversified and digital electric power functions based on data driving can be realized, the relation between data can be captured more accurately, and high-value data assets in the electric power system are formed.

The invention relates to the technical field of multifunctional detection, in particular to a multifunctional metering detection system which comprises a time alignment module, an analog-to-digital conversion module, a data coupling module, a vector construction module and an event packaging module. According to the invention, the time alignment is carried out on the measurement data in multiple channels, the synchronization consistency of heterogeneous data is improved, the dynamic analysis of amplitude fluctuation characteristics is combined, the real-time adjustment of the analog-to-digital conversion resolution is realized, the response sensitivity of the system to unsteady signals is enhanced, and the reliability of the system is improved. A composite parameter sequence is constructed by using a cross-channel amplitude and trend relationship, the coupling expression capability among multiple parameters is optimized, the recognition precision of a multi-node linkage trend is improved through state vector modeling and direction difference judgment, an abnormal event path is reconstructed by adopting a time sequence, and a process record is packaged. And the detection data is converted into structured event chain data from original sampling, so that the organizability and traceability of the anomaly detection result are enhanced.

A machine learning system configured to map an input data instance to an output according to a system mapping. The system mapping may be composed from multiple functions. A latent input vector may be determined in a second latent space for the input data instance, from latent reference vectors related to a number of reference data instances identified as parents.

The invention provides a man-machine interaction method, device, system and equipment and a medium, and relates to the technical field of artificial intelligence, in particular to the technical field of large language models, intelligent assistants and the like. According to the implementation scheme, in response to a received user instruction, an operation instruction generation request is obtained based on the user instruction and function description information of multiple functions; an operation instruction generation request is sent to the server, and the operation instruction generation request is used for triggering the server to apply the cloud large model so as to select at least one function from the multiple functions based on the user instruction and the function description information, and an operation instruction used for completing the user instruction is generated based on the at least one function; and in response to a received operation instruction sent by the server, executing a calling operation for each function in the at least one function based on the operation instruction so as to obtain an execution result of the user instruction.

The invention relates to the field of industrial automation testing, discloses a multifunctional testing tool and method for an EUROMAP interface of an injection molding machine, and achieves the crossing from single function verification to system-level compliance evaluation. A test network is constructed through a controller, and deep compliance verification, coverage data interaction, exception handling and cross-layer response consistency are realized. The test tool integrates the functions of protocol analysis, signal simulation, fault injection and the like, supports dynamic generation of boundary value test scenes and abnormal injection of signal delay, CRC errors and the like, and verifies the time sequence / logic consistency of a protocol instruction and an execution mechanism response through a hardware-level timestamp alignment technology. According to the method, an evaluation report including compliance rating, fault diagnosis and optimization suggestions is automatically generated, the problems of single coverage dimension, insufficient abnormal simulation, cross-layer verification deficiency and the like of a traditional test are solved, the intelligence and standardization level of the injection molding machine interface test is remarkably improved, and the equipment interconnection and intercommunication performance is guaranteed.

The invention provides a multifunctional cycle power generation system and method by a gravity lever. The system comprises a supporting rack and a balance weight arranged on the supporting rack and slidably matched with the supporting rack, wherein engines are arranged on one side or two sides of the balance weight; the input shaft of each engine is connected to a transmission shaft; two or more single-directional clutches are fixedly connected to the middle of the transmission shaft; the locking directions of the single-directional clutches are same, gears are fixed to the peripheries of thesingle-directional clutches, and a rack matched with each gear to drive the transmission shaft to rotate is arranged next to each single-directional clutch; at least one pair of racks is arranged on the upper part and the lower part, separately, the racks and the balance weight which reciprocates are in driving movement and the balance weight is arranged on the supporting rack to swing through a lifting mechanism in a reciprocating manner. As the balance weight which swings in the reciprocating manner pulls the racks to drive the transmission shaft to rotate in the single direction, multiple engines can be driven synchronously to generate electricity synchronously, and the power needed by a supporting rack lifting device is alleviated greatly by means of a swing mode like to a lever, so that the energy sources are saved and the power generation efficiency is improved greatly.

The embodiment of the invention discloses a video generation method and electronic equipment. The method comprises the following steps: creating a 3D virtual film field environment based on a 3D development engine; after a video generation demand text is received, a script is generated through mutual cooperation among multiple agents based on an artificial intelligence AI large model, the multiple agents are used for simulating multiple function posts involved in the manual video production process, and the script comprises role brief introductions in the script. A line text and role positions, actions and lens types corresponding to lines; and performing structured processing on the script, and simulating a video shooting process in the 3D virtual film field environment according to the structured script so as to generate a target video. According to the embodiment of the invention, the video generation quality and the character consistency can be improved.

The embodiment of the invention provides a large language model training method and device, computer equipment, a medium and a product, and relates to the technical field of model training. According to the method, an initial MOE model is pre-trained through text data to obtain an MOE pre-training model, and then multi-task training is performed on the MOE pre-training model through a second training set, so that an MOE dialogue model obtained through training can generate an output result related to input data according to the input data, and various different tasks are completed. And finally, performing user preference guidance on the MOE dialogue model to obtain an MOE reward model so as to evaluate an output result of the MOE dialogue model, thereby optimizing model parameters of the MOE dialogue model. In the embodiment of the invention, the MOE model is used for replacing a traditional dense model, different functions of the model are realized through multiple expert sub-models in the MOE model, and multiple functions are realized by using fewer reasoning video memories.

The invention discloses a signal acquisition and processing method and system based on a multifunctional radar, and relates to the technical field of signal acquisition and processing, and the method comprises the steps: employing a quantum genetic algorithm to optimize radar transmission waveform parameters, including center frequency, bandwidth and frequency modulation slope, and generating a nonlinear frequency modulation waveform through FPGA hardware; a non-uniform sparse array is adopted to receive a target echo signal, time domain random interval sampling and frequency domain pseudo-random frequency point selection are synchronously implemented, and time-space-frequency three-dimensional compressed sensing observation data are formed; performing trilinear tensor joint sparse reconstruction on time-space-frequency three-dimensional compressed sensing observation data, decomposing a polarization scattering matrix eigenvalue from a reconstructed signal, and calculating a coupling characteristic quantity of eigenvalue entropy and micro-Doppler frequency; inputting the coupling characteristic quantity into a deep reinforcement learning model, and dynamically outputting a constant false alarm detection threshold, a moving target display filter order and a resource allocation weight; and detecting a threshold based on a constant false alarm rate.

The invention provides a knowledge question and answer model construction method. The method comprises the following steps: taking a pre-training language model as a base model, and executing two-stage training according to the following modes to obtain a knowledge question and answer model: function understanding pre-training: constructing a plurality of function definition codes and a plurality of function call examples to train the base model so as to enable the model to learn a function execution principle; and instruction fine tuning training: obtaining a task instruction, a query instance and a query program corresponding to the query instance to train the initial model so that the model learns a function combinatorial programming principle. According to the technical scheme, the knowledge question and answer model is trained by proposing the two-stage training strategy, so that the model has the function understanding capability for knowledge programming and the capability of converting a complex problem into a query program based on the function understanding capability, and the problems that in the prior art, the model tends to memorize the program, and the program is difficult to query are solved. And therefore, the generalization of the model for the unseen query semantics contained outside the domain is improved.

The invention provides a mathematical problem generation method and system based on self-adaptive multi-level retrieval enhancement, and relates to the technical field of large language models.The method comprises the steps that a problem setting request of a user is input into a generation model, and an initial mathematical problem is obtained; judging whether the initial mathematical problem meets a problem setting target based on a multifunctional tutor model; if yes, directly outputting the initial mathematical problem as a target mathematical problem; if not, the multifunctional tutor model outputs optimization suggestions, and a multi-level retrieval enhancement model is triggered; inputting a question setting request into the multi-stage retrieval enhancement model to obtain a retrieval result; and inputting the optimization suggestion and the retrieval result into the generative model for secondary generation and optimization of mathematical problems, and outputting a target mathematical problem. According to the invention, the problem that the accuracy, the matching degree, the quality and the efficiency of the math problem generated at present are poor is effectively solved.

The present application belongs to the technical field of software engineering, and specifically relates to a multi-function homologous vulnerability detection method based on function selection and semantic equivalent matching. The method comprises two stages of signature generation and vulnerability detection. The signature generation stage comprises: inputting a vulnerability repair patch, extracting a modification method and a key repair method therein; performing semantic equivalent replacement on the extracted key repair method, and generating signatures for the functions before and after the semantic equivalent replacement respectively; the vulnerability detection stage comprises: inputting a target detection software, pre-processing by using a clone detection software to reduce the search space; extracting functions in the target detection software and performing semantic equivalent replacement thereon, generating signatures for the functions before and after the semantic equivalent replacement respectively, and performing two-stage signature matching, and finally outputting whether there is a suspicious multi-method homologous vulnerability in the target project. The method can help identify multi-method homologous vulnerabilities in open source software, reduce the harm caused by homologous vulnerabilities, and improve the security of open source software.

An image capture apparatus including a body and a multi-function interconnect mechanism connected to the body. The interconnect mechanism includes: a base plate; protrusions; and magnetic members, wherein the base plate includes: a receptacle configured to engage an accessory such that the accessory is directly connectable to the image capture apparatus via the interconnect mechanism; locating features configured to receive alignment members on an adapter to facilitate proper registration of the adapter and the interconnect mechanism; and latching features configured for engagement with latch members on the adapter to thereby connect the adapter to the interconnect mechanism. The protrusions include apertures extending therethrough and are pivotably connected to the base plate such that the interconnect mechanism is reconfigurable between collapsed and extended configurations. The magnetic members are connected to the base plate such that the magnetic members extend into the apertures when the interconnect mechanism is in the collapsed configuration.

The invention discloses a text management method, electronic equipment, a chip system and a readable storage medium, and belongs to the technical field of terminals. Comprising the steps that in response to a first operation, a first interface is displayed in the multifunctional office platform, the first interface is an interface corresponding to a document management function, and the first interface comprises a first identifier of a first document text and a second identifier of a second document text; in response to a selection operation on the first identifier, displaying document key information of the first document text in a first specified area in the first interface; and in response to a selection operation on the second identifier, displaying the document key information of the second document text in the first specified area. Therefore, the user can quickly know the document, so that the document text which the user wants to search can be quickly searched, and the search efficiency of the document text is improved.

The invention discloses a cross-dialect query automatic conversion method and device based on a large language model, equipment and a storage medium. Comprising the following steps: generating a syntax tree and a function specification of syntax elements according to syntax files and database documents of a source dialect and a target dialect; dividing the original query into a plurality of function fragments based on a syntax tree; analyzing and identifying the to-be-converted fragment based on the target dialect; inputting the to-be-converted fragment and the function specification into an embedding model to obtain an embedding vector, and matching the embedding vector with a vector of a target dialect syntax element; inputting the matched target dialect syntax element and the function specification thereof into a large language model to generate a converted fragment; replacing the segment to be converted in the original query to obtain a converted query; and performing grammar and semantic verification on the converted query, repeating the conversion if the verification fails, and expanding the conversion range to regenerate the embedded vector if the maximum retry frequency is reached. According to the method and the device, high-quality cross-dialect query conversion is realized, and the method and the device have good maintainability and expansibility.

The embodiment of the invention provides a dynamic multifunctional optical metasurface design method and system, and the method comprises the steps: obtaining function demands in different application scenes, and setting a target reflection spectrum according to the function demands; the target reflection spectrum is input into a reverse retrieval network, and super-unit structure prediction design parameters are obtained through encoder compression and decoder parameter prediction; the super-unit structure prediction design parameters are input into a forward prediction network, and a prediction reflection spectrum is obtained through network forward propagation calculation; based on the matching degree between the predicted reflection spectrum and the target reflection spectrum, establishing a bidirectional relation between a design domain and a physical domain by using a phase recovery algorithm, and predicting design parameters by continuously adjusting the super-unit structure, so that the predicted reflection spectrum gradually approaches the target reflection spectrum, and obtaining ideal design parameters of the super-unit structure; and according to ideal design parameters of the super-unit structure, super-units are arranged in an operation space, and the super-surface structure capable of realizing dynamic multifunctional regulation and control is formed.

The invention provides a digital twin system, equipment and method for cloud interconnection of enterprises and exhibitions, provides a digital twin system platform to manage the digital twin system on the basis of cloud interconnection, and realizes localized storage and display control of data copies of the digital twin system. Through double-end separation of control and management functions of a platform side in the prior art, an independent exhibition digital twinning function control and management system is adopted, and different digital twinning corresponding functions are realized through a plurality of subsystems. Therefore, a comprehensive display informatization platform which has multiple functions of product token control, three-dimensional exhibition display information, product information tracing, digital twin information feedback and the like and is connected with enterprises and exhibitions is constructed, and a feasible scheme is provided for enhancing audience interaction on an exhibition site and improving the exhibition display effect.

The invention provides a power transaction agent system based on AI auxiliary decision making, the system can provide intelligent power transaction service based on an intelligent contract, the system is responsible for processing massive, high-frequency and multi-dimensional data, providing deep insight and accurate prediction, liberating traders from heavy data work, and improving the working efficiency of the traders. The method focuses on strategy formulation and risk control of transactions. The system can provide questioning and answering services for power transactions for users, and can perform power transaction prediction and visualization in each mode based on collected power transaction big data, so that power market intelligent analysis, retrieval and other services of traders, analysts and decision makers can be deeply endowed, multiple functions are integrated, and the user experience is improved. The system assists traders, users, managers and the like, realizes intelligent service and lightweight service of power transaction, reduces transaction cost, and improves market circulation efficiency and benefits of power transaction.

The invention discloses an LLM-based position description generation method and apparatus, and an electronic device. The method comprises the steps of obtaining recruitment demand information input by a recruiter; obtaining enterprise portrait attributes of recruiters to obtain an enterprise information set and a function label set; the enterprise information set comprises multiple enterprise information labels and label values under the enterprise information labels; the function label set comprises multiple function labels and label values under the function labels; performing function estimation according to the recruitment demand information to obtain a first function corresponding to the to-be-recruitment post; constructing a position description candidate sample set according to the first function and the enterprise information set; according to the position description candidate sample set and the selection strategy, obtaining a position description target sample; on the basis of a preset prompt template, constructing a position description prompt according to the recruitment demand information, the position description target sample, the function label set and the enterprise information set; and inputting the constructed position description prompt into the LLM model to generate the position description.

The invention relates to the field of security and protection, and discloses a security and protection system based on face recognition, which is mainly composed of a block chain network plurality of terminal equipment face data and identity database information processing module and an access control management platform. The block chain network realizes distributed storage and synchronous verification of face recognition data and access control event records, and each terminal device has data writing and reading functions as a node of the block chain network. The face data and identity database is deployed in part of terminal nodes in a distributed mode, data synchronization is achieved through a block chain network, and the information processing module is responsible for verification and version control of received data. The access control management platform comprises a plurality of function modules, when the system is applied to scenes such as a community, efficient access control management can be achieved through face recognition, data safety and reliable evidence storage are guaranteed by means of the block chain technology, meanwhile, the abnormal event processing efficiency and the user experience are improved, and compared with a traditional security and protection system, the system has obvious advantages.

The invention relates to a molded case circuit breaker intelligent module integrating multiple functions. The molded case circuit breaker intelligent module integrates the functions of data acquisition, remote communication, man-machine interaction, metering protection, topology identification, event recording, temperature measurement and the like. Key parameters, including voltage, current, power, power factor, power grid frequency, electric energy and the like, in a power system can be collected in real time through data collection, meanwhile, voltage and current unbalance detection and harmonic detection are achieved, and metering current and protection current can be calculated and displayed respectively. The communication module comprises serial port communication, Bluetooth communication and carrier communication, and supports multiple communication protocols. A liquid crystal display screen and keys are arranged in the aspect of man-machine interaction, a visual user interface is provided, and field operation and parameter setting are facilitated. The protection function provides a plurality of protection mechanisms, such as overload, short circuit, overvoltage, undervoltage, phase loss, zero line breaking and temperature protection, so as to prevent and reduce faults of a power system. The topology identification module can autonomously modulate and send the characteristic current and analyze the characteristic current, so that the area topology can be conveniently identified. Meanwhile, an event recording function is achieved, and opening and closing events, remote signaling displacement events and protection comprehensive events can be recorded respectively. The temperature measurement function can collect the real-time temperature of six paths of three-phase incoming lines and outgoing lines in real time, and normal operation of the temperature protection function is ensured. The modular design is adopted, shell frame circuit breakers of different current specifications are supported, plug and play is achieved, and the operation and maintenance cost is reduced.

The invention discloses a flow management method and device. Firstly, operation parameters of each micro-service node are acquired; and secondly, in response to the acquired operation parameter of any target micro-service node, determining whether the target micro-service node satisfies a current limiting condition corresponding to the operation parameter based on the operation parameter. Then, if yes, resource contribution degrees corresponding to the multiple functions are calculated, and the resource contribution degrees are used for representing contribution of resources consumed by the functions to the service provided by the target micro-service node; and finally, determining a target function to be subjected to current limiting from the multiple functions based on the resource contribution degree, and carrying out current limiting processing on the target function. According to the method, the target function to be subjected to flow limiting can be determined from the multiple functions based on the resource contribution degree, so that the flow limiting accuracy of the micro-service node is improved.

The invention relates to a dynamic website development system and method, in particular to a multifunctional dynamic website development method and system. The system comprises a micro-service architecture, a headless CMS, a front-end framework, a dynamic page staticizing module, an intelligent SEO optimization module, an authorization and security management module, a continuous integration and deployment module and a performance monitoring and optimization module. Through cooperative work of the modules, the flexibility, the safety, the performance and the SEO optimization effect of website development can be effectively improved, and meanwhile the legality and the data protection of the system are ensured.

The invention discloses a multifunctional intelligent set top box and a control system. Comprising a core processor module, a signal receiving and processing module, a storage module, a sensor module, a display output module and an interface module, the interface module specifically comprises a signal input interface and a signal output interface. According to the invention, multiple functions, multiple performances and high-quality user experience of the set top box are realized. When a user uses the set top box, the set top box is connected to a signal source through a corresponding signal receiving interface and is connected to display equipment through a display output interface. A user can operate through a remote controller, a voice instruction or a mobile application program, the set top box realizes corresponding functions according to the user instruction and each built-in algorithm, and high-quality and intelligent multimedia experience is provided for the user.

The invention provides a film and television teaching intelligent interaction method and system based on a large model, and relates to the technical field of film and television teaching. According to the method, multiple functions including teaching file management, play setting and lecture export controls are integrated into a main interface, so that efficient management and utilization of film and television teaching files in various formats are realized. According to the method, the video content can be automatically analyzed by using the large model, and the subject labels and the knowledge point labels are automatically generated, so that the subject labels and the knowledge point labels are associated with the big data knowledge base and the exercise base to form extended knowledge and exercise indexes, and organization and expansion of educational resources are facilitated. In addition, personalized teaching interaction trigger points can be set according to the indexes, and interactivity and pertinence in the teaching process are enhanced. Finally, the teacher can automatically generate and export teaching notes according to all the information, so that the teaching note making efficiency and the teaching quality are effectively improved.

According to the novel transponder device and the method and device for achieving multiple functions through power line carrier communication, multiple functions such as train positioning and speed measurement, station track occupation recognition, train occupation and integrity check and train-ground communication are achieved through the novel transponder device and the power line carrier communication, and wireless communication technologies such as the power line carrier communication are integrated; the method can be applied to train operation control, train-ground coordination action, locomotive vehicle information management, unmanned stations and train state monitoring in various scenes, can simplify the types of equipment, reduces the construction cost and the maintenance workload, and improves the transportation efficiency and safety at the same time.

The invention provides an intelligent service system and device for urban community micro-grid governance, and belongs to the technical field of community intelligent services, the system comprises a community data acquisition module, a community data management module, an intelligent algorithm module, a service function module, a micro-grid task module and an application execution module; deeply mining multi-source data of grid management basic data and community monitoring data; according to the community intelligent management system, community data overall management is realized by combining a database, a computing cluster device and a deep learning framework, multiple functions of resident community life circle, community position space management, community event intelligent processing and personnel service management are realized by utilizing an artificial intelligence model algorithm, and community intelligent management efficiency and service level are improved; the problems that an existing micro-grid intelligent governance framework is not clear, data collection and processing are difficult, task distribution responsibility is not clear, service quality is not high, and the intelligent degree of event processing is low are solved.

The invention relates to a voice interaction method and device, computer equipment and a storage medium, and relates to the technical field of computer programs. A visible control and an invisible control which have the same trigger event after being triggered are set, the visible control is not provided with hot word attributes, and the invisible control is provided with hot word attributes. The control bearing the hot words can be separated from the control visible in the interface, so that when multiple functions are realized for the visible control, the corresponding function can be realized by respectively setting the hot word attribute of each invisible control; therefore, the complex and error-prone situations caused by repeatedly setting the hot word attributes through code logic can be improved. Besides, the control bearing the hot words can be separated from the control visible to the interface, the visible control is specially used for responding to the manual click trigger, and the invisible control is specially used for responding to the visible voice input trigger, so that the source of the control responding to the trigger can be distinguished in real time, and diversified requirements can be met.

The invention discloses a vehicle controller interaction platform based on a dynamic configuration file, which relates to the technical field of vehicle detection and comprises a driving layer, a protocol layer and an application layer, the driving layer is a bottom module of the platform, the protocol layer is a core module of the platform, and the application layer is a top module of the platform. According to the vehicle controller interaction platform based on the dynamic configuration file, the defects of the traditional technology in the aspects of protocol compatibility, operation complexity and data processing capability are effectively overcome. By dynamically loading and analyzing the protocol configuration files of different manufacturers, the platform can automatically identify and adapt to vehicle controllers of different manufacturers and models, manual intervention of a user is reduced, and operation efficiency and accuracy are improved. Besides, the platform integrates multiple functions of flashing, DTC fault diagnosis, parameter reading and writing and the like, and through intelligent prompting and automatic process optimization, the reliability of the system and the user experience are improved.

An inventory handling station assembly for a storage and retrieval system is disclosed. A grid framework structure includes a plurality of upright columns for one or more containers to be stacked, the plurality of upright columns being interconnected at their top ends by grid members which support first and second sets of tracks for a load handling device to move containers on the grid framework structure. A supply zone includes at least one vertical chute. A buffer zone vertically accumulates containers and includes at least one bin lift device. An access station is intermediate of the supply zone. A conveyor system conveys containers 10 from the supply zone to the buffer zone via the access station.