477 results about "Transformation systems" patented technology

The present application is directed towards systems and methods for cluster-based code analysis and transformation. Cluster-based analysis may group code objects based on their similarity across functional areas, such as where a code object is cloned in multiple areas (e.g. sort functions that are duplicated across areas, or reports or tables that are identical). In some implementations, objects may be grouped into clusters by type, or based on reading from or writing to a common table. In some implementations, clustering at different layers may be possible.

A system and method for real-time or near real-time multilingual language transformation in telecommunications environments using distributed artificial intelligence (Al). The system includes at least one processor configured to instantiate a plurality of Al agents, each corresponding to a user in a communication session, and to manage their operation via an Al-agent runtime adapter comprising a microkernel agent manager and a virtual machine layer. A language model abstraction layer enables access to language models and Al algorithm libraries through publish-subscribe interfaces. The system supports contextual transformation of speech based on user profile data such as sentiment, emotional tone, and cultural background. Execution can occur on telecommunication-class switches, edge devices, or general-purpose computing hardware. Al agents operate asynchronously, access shared or private memory, and produce personalized, bidirectional linguistic output. The architecture supports secure, scalable deployment across heterogeneous devices and networks.

Systems and methods are disclosed comprising techniques for record-to-event conversion, such as retrieving at least one alphanumeric record associated with a monitored digital communication transmitted among two or more users, generating a time-enumerated data structure that stores an event entry set for the monitored digital communication, selectively identifying at least one discrete event for the monitored digital communication, generating one or more relevance scores for the at least one discrete event, identifying at least one valid discrete event from the at least one discrete event, generating an event attribute set for the at least one valid discrete event, updating the normalized event attribute set for a new event entry within the event entry set of the time-enumerated data structure, and transmitting the updated time-enumerated data structure within an elapsed duration after retrieving the at least one alphanumeric record.

The invention discloses an insulation fault edge self-healing method and device for a power conversion system, and belongs to the technical field of fault diagnosis and automatic maintenance of power electronic equipment, and the method comprises the steps: obtaining multi-modal sensing data, synchronously collected by a multi-modal sensor array, of the power conversion system; a preset lightweight CNN-Transform hybrid model is used to process the multi-modal sensing data, and a feature vector of each modal is obtained; fusing each modal feature vector by adopting a dynamic weight attention mechanism to obtain a fused fault feature vector; classifying the fused fault feature vectors based on a fault classifier, and determining a fault level; and according to the determined fault level, sending a corresponding control instruction to an execution mechanism, and triggering a hierarchical self-healing action. According to the invention, fault identification and self-healing decision can be rapidly completed, and the accuracy of fault detection is effectively improved.

The invention discloses an equipment fault prediction method in a power transmission and transformation system, and relates to the technical field of power system operation and maintenance, and the fault prediction method comprises the following steps: data collection: collecting the data of power transmission and transformation equipment through a sensor network, and forming a multi-source heterogeneous data set; data preprocessing: performing abnormal value elimination, missing value filling and standardization processing on the multi-source heterogeneous data set; feature extraction: mining associated features and time-space evolution laws of data of different dimensions by adopting a multi-modal fusion network based on an attention mechanism; performing fault prediction, and constructing a dynamic threshold early warning model in combination with an equipment aging curve; and correcting the result to generate a final fault prediction report. The equipment fault prediction method in the power transmission and transformation system solves the problems that traditional prediction depends on single data, the fixed threshold value false alarm is high, and the advance is insufficient, improves the fault prediction accuracy and reliability, and is suitable for operation and maintenance early warning of power transmission and transformation equipment such as transformers and circuit breakers.

The invention relates to the technical field of laboratory cabinet intelligent reconstruction, and discloses a low-voltage intelligent electric control titanium wire lock and a laboratory cabinet intelligent reconstruction system.The system is characterized in that an associated data space containing an environment sensing layer, a mechanical state layer and a safety evaluation layer is constructed through multi-sensor fusion, and multi-dimensional parameters such as temperature and humidity and vibration strength are integrated; feature sets are respectively obtained by using normal and abnormal feature extraction strategies, a common rule is extracted from different working condition strategies to construct a control strategy library so as to adapt to a new scene, abnormity is monitored in real time, and emergency strategies such as parameter adjustment and operation interruption are triggered. According to the low-voltage intelligent electric control titanium wire lock, titanium alloy wires are adopted to form multi-stage linkage spring bolt mechanisms such as a main spring bolt and an auxiliary spring bolt, an electric control driving unit executes a control instruction, and a state feedback unit uploads spring bolt positions and motor torque data in real time. According to the invention, intelligent monitoring, decision making and safety protection of the laboratory cabinet body are realized, and the management efficiency and safety are improved.

The invention relates to the technical field of power electronic conversion, and discloses a high-efficiency rectification conversion system and a control method thereof, and the system comprises the following modules: a detection module, an input compatible module, a hybrid power device module, a control module, a thermal management module and a frequency modulation module. The control method comprises the following steps: acquiring input power grid voltage, output current and load state parameters; calculating an input voltage phase difference; dynamically selecting the type and channel configuration of the silicon carbide or gallium nitride power device according to the load rate; outputting a device configuration instruction and a switching frequency control instruction; adjusting the cooling system through the evaluated thermal state of the conversion system; and the control module receives the control instruction output by the control module and is used for implementing a corresponding pulse width modulation strategy. According to the method, a multi-system power grid identification and self-adaptive topology switching strategy is adopted, the technical effect of automatically configuring the optimal rectification architecture under different input types is achieved, and the problems of response delay and poor compatibility of the method in the environment of variable power grid types are solved.

The invention relates to a new energy scene collaborative energy compensation system based on multi-energy complementation and a control method. The system comprises a power supply input and conversion module, an energy storage system, a power distribution and energy distribution module, a charging and battery replacement facility and a control system. The power input and conversion module is connected to an alternating current bus through a box-type substation, a photovoltaic panel and a photovoltaic inverter; the energy storage system is connected with an AC-DC bus through a power conversion system and a DC conversion module by utilizing an energy storage battery pack and a mobile power transmission vehicle; the power distribution and energy distribution module transmits electric energy through an AC-DC bus. The charging and battery replacing facility takes power from the AC / DC bus; the control system collects data and dispatches energy through a communication protocol, and cooperates with the power electronic transformer and the virtual synchronous machine control module to realize power grid frequency compensation and voltage stability control. According to the invention, by integrating photovoltaic, energy storage and charging facilities and power grid interaction capability, an intelligent scheduling mechanism is constructed, and multi-energy cooperative control and intelligent scheduling are realized.

A gas and steam power generation afterburning type heat-electricity decoupling system and a working mechanism thereof, characterized in that the system comprises a gas turbine power generation system, a power transmission and transformation system, a molten salt heat storage system and a steam power generation system; the gas turbine power generation system is connected with the molten salt heat storage system through a flue gas pipeline; the molten salt heat storage system is connected with the power transmission and transformation system through a cable; the gas turbine power generation system is connected with the power transmission and transformation system through a cable; the molten salt heat storage system is connected with the steam power generation system through a main steam pipeline and a backwater pipeline; and the steam power generation system is connected with the power transmission and transformation system through a cable. The system can realize complete heat-electricity decoupling in a green energy storage system, realize the functions of self-supply of external power, storage of green electricity or heat supply, increase the accommodation capacity of a power grid to green electricity, and enhance the stability, flexibility and safety of a new power system.

The invention discloses a system for realizing bidirectional conversion between a model and a code, and the system comprises a meta-model architecture module which is used for constructing a unified model specification; the meta-model engine module is used for generating, analyzing and processing the meta-model architecture module; and the bidirectional conversion module is used for realizing forward and reverse synchronous conversion between a zero code model and a Java model serving as a program code by adopting the meta-model engine module. By means of the scheme, a unified specification with the meta-model architecture as the core is established, a powerful meta-model engine is used for automatic processing, and the barrier between a zero-code visualization model used by business personnel and bottom-layer Java codes written by developers is seamlessly broken through. The synchronization capability of the model and codes ensures the continuous alignment of business design and technical implementation, and effectively supports the quick iteration of agile development and business.

The invention provides a load tracking control method for an energy storage system in an oil field scene, which realizes cooperative control of constant-power operation of a generator and rapid compensation of energy storage. The system comprises the following mechanisms: a diesel generator; the energy storage system comprises an energy storage converter PCS and an energy storage battery pack; the AI sampling module is used for respectively sampling implementation voltage and current data of the diesel generator and the load through a voltage transformer PT and a current transformer CT; the EMS system side power calculation module comprises an energy management system power calculation module and a power conversion system; and an oil field load; an output end of a diesel generator and an output end of an energy storage converter PCS are converged to a load output line and then are connected to an oil field load, an AI sampling module also samples voltage and current data of the load output line, the diesel generator and an energy storage system supply power to the oil field load at the same time, and an engine operates in a high-efficiency interval. And the energy storage system bears instantaneous power fluctuation.

The invention discloses an LLC circuit and a control method and device thereof, a power conversion system, a storage medium and a computer program product, the LLC circuit is provided with an LLC resonant cavity and a switching tube module, and the switching tube module is provided with a first switching tube and a second switching tube which can be alternately conducted up and down; the control method of the LLC circuit comprises the following steps: acquiring a preset resonant current threshold value of the LLC resonant cavity; and under the condition that the LLC circuit starts to start after being electrified, on the basis of a resonant current threshold value of the LLC resonant cavity, asymmetric driving pulse starting is firstly performed on the switching tube module, and then frequency reduction starting is performed, so that current-limiting starting control of the LLC circuit is realized. According to the scheme, after the LLC circuit is powered on, asymmetric driving pulse starting is firstly carried out on the switching tube module, and then frequency reduction starting is carried out, so that current-limiting starting control of the LLC circuit is realized, and the LLC circuit is enabled to be stably and safely started.

The invention discloses an automatic reference format conversion system based on Web, and belongs to the field of computer software. The system adopts a B / S architecture, receives a Word manuscript uploaded by a user and an NBIB file exported by PubMed, and provides a dynamically loaded CSL style library for selecting a target periodical format. Through regular segmentation of NBIB entries, author information is analyzed according to an FAU priority strategy to generate standardized BibTeX data; the Word manuscript is converted into a JSON-VDOM tree with a reserved style, placeholders are positioned and referenced, a three-dimensional mapping index is established, the placeholders are replaced through CSL rendering, a reference list is added, and a final document is reversely generated. Temporary data are isolated and automatically cleaned through the UUID, and safety is guaranteed. The problems of local dependence, inaccurate analysis and tedious operation in the prior art are solved, the method is efficient, accurate, flexible and easy to use, and the paper reference typesetting efficiency is greatly improved.

The disclosed technology relates to methods, voice conversion systems, and non-transitory computer readable media for determining quality assurance of parallel speech utterances. In some examples, a candidate utterance and a reference utterance in obtained audio data are converted into first and second time series sequence representations, respectively, using acoustic features and linguistic features. A cross-correlation of the first and second time series sequence representations is performed to generate a result representing a first degree of similarity between the first and second time series sequence representations. An alignment difference of path-based distances between the reference and candidate speech utterances is generated. A quality metric is then output, which is generated based on the result of the cross-correlation and the alignment difference. The quality metric is indicative of a second degree of similarity between the candidate and reference utterances.

The invention discloses a space radiant energy collection and conversion system, which relates to the technical field of energy conversion, and comprises a motor, a main shaft, a steam turbine, an expansion machine and a synchronous generator, a clutch I and a clutch II are respectively mounted on the main shaft on the right side of the motor and the left side of the steam turbine; and a transmission I, a transmission II and a transmission III are sequentially mounted on the main shaft between the clutch I and the clutch II. According to the space radiant energy collection and conversion system, energy sources are infinite, and radiant energy in air and water is utilized and is an inexhaustible energy source; the cost is extremely low: the cost of generating one kilowatt-hour can be reduced to one minute; the system does not depend on fossil fuel, and pollution of exhaust emission to the nature is avoided.

A method for biosignal data transformation can include: determining a set of biosignal data, determining a brain state representation (e.g., an embedding) based on the biosignal data, and determining a biomarker value based on the brain state representation. The method can optionally include training a model (e.g., training a model used to determine the brain state representation), and / or any other suitable steps. A system for biosignal data transformation can include a biosignal device and a computing system.

An address translation system, method and device including a translation extension unit associated with a client and having a client address translation cache storing a client cache of the address translations. When virtual address of a translation request from the client is the same as the virtual address of an address translation of the client cache, the translation extension unit returns the physical address that is mapped to the virtual address according to the address translation to the client without transmitting the translation request to a memory management unit that maintains a page table of all the translations and a translation lookaside buffer with a subset of the translations.

The invention relates to the technical field of broadband signal synthesis and high-speed digital-to-analog conversion, in particular to an oversampling-based real-time frequency interleaving digital-to-analog conversion system aliasing suppression method and system, and aims to solve the problem of spectrum aliasing caused by non-ideal characteristics of a digital sub-band decomposition filter and an analog filter under a real-time architecture of the system. In the invention, the sub-band decomposition is completed by adopting the linear phase complementary filter bank, so that distortion introduced by a transition band of a digital filter is avoided; by restraining system parameters such as passband and stopband frequencies and local oscillation frequency of a sub-band decomposition filter, a protection band is set by an oversampling mechanism, a frequency margin is reserved for a transition band of the filter, and aliasing components are suppressed. According to the method, extraction aliasing of a digital domain and mirror image aliasing of an analog domain are avoided at the same time from the system architecture, the frequency spectrum purity of output signals is improved, the method is suitable for a real-time system for processing continuous data streams, and technical support is provided for achieving a high-performance broadband signal source.

The invention relates to the technical field of big data processing, in particular to a big-model-driven efficient NL2SQL conversion system and method based on big data training, and the system comprises a data collection and preprocessing module, a big model training module, an NL2SQL conversion module, an optimization and verification module, and a deployment and interaction module. The method has the beneficial effects that the big model is trained through big data, and the conversion efficiency and accuracy from the natural language to the SQL statement are remarkably improved in combination with technologies such as multi-modal fusion and reinforcement learning. A large-scale diversified data training and continuous updating mechanism enables the model to have very strong generalization ability, various complex, fuzzy and ambiguous natural language queries can be processed, and the method adapts to different database structures and business scenes.

The utility model discloses a laser processing system for rapidly preparing a large-area zero-taper microstructure, and belongs to the technical field of laser processing optical design. The laser processing system comprises a laser device, a beam expanding and collimating system, a shaping system, a translation transformation system and a focusing system which are sequentially arranged on a main shaft of a system light path, the translation transformation system comprises a first lens and a second lens, the focal length of the first lens is f1, the focal length of the second lens is f2, the distance between the first lens and the second lens is f1 + f2, and the focal length of the first lens is f1; the shaping system is located between the rear focal plane of the first lens and the first lens; the focusing system comprises a galvanometer and a field lens arranged at the emergent end of the galvanometer, and the field lens is located between the front focal plane of the second lens and the second lens. Microstructure machining is carried out through the laser machining system, the problem that the machining amplitude of a traditional rotary cutting laser machining system is too small is effectively solved, the machining efficiency is greatly improved, the taper problem existing in laser machining is solved, and the machining quality is better guaranteed.

The invention discloses a micro-grid system based on a segmented balance principle. The micro-grid system comprises a 0.4 kV bus; the at least one distributed photovoltaic power generation module is connected to the bus and is used for providing electric energy for the bus; the two energy storage current conversion systems are respectively a first power conversion system and a second power conversion system and are connected with the bus through a circuit breaker, and the first power conversion system is a network construction type power conversion system and is used for supplying power to the bus in an island mode; the second power conversion system is a network-following type power conversion system and is used for carrying out power regulation after the network of the bus is formed to be stable; the third-level electrical load is connected with the bus through a first-level circuit breaker, a second-level circuit breaker and a third-level circuit breaker, and the load is subjected to level-to-level management according to the requirement of the load on the power supply reliability; and the island identification and grid-connected control unit is used for detecting a voltage amplitude difference delta U and a phase angle difference delta theta between the main grid and the micro-grid in real time, and when the delta theta exceeds a set threshold value delta theta max, the splitting operation of the micro-grid and the main grid is started.

The invention discloses a large model generation code traceability method, system and device based on reversible watermarks and a medium, and belongs to the technical field of computer software. The method comprises the following steps: firstly, carrying out code conversion applicability verification on a given code by utilizing an applicability analyzer, and identifying an applicable code conversion mode; and then a sequence formed by applicable conversion modes is reordered based on a given salt value, and watermark embedding of the generated code is systematically completed by selectively applying the conversion. And then a section of code to be verified is given, applied conversion is systematically identified and verified through a mode of combining bidirectional state verification and error correction decoding, watermark information is extracted, error correction is carried out, and finally traceability of the generative model is realized according to the extracted watermark. According to the method, the technical limitations of dependence on prior knowledge, high watermark extraction error rate and incapability of effectively tracing to generate the code model in the prior art are overcome, and higher security and traceability guarantee is provided for the field of code generation.

The invention discloses an in-park energy scheduling method and device, a storage medium and electronic equipment, and the method is applied to the field of artificial intelligence, and comprises the steps: collecting the operation state conditions of a plurality of energy systems in a park in a target time period, obtaining a state variable, and storing the state variable in the park; the plurality of energy systems at least comprise an energy supply system, an energy conversion system and an energy storage system; the state variable is input into a target strategy network based on a depth deterministic strategy gradient algorithm, an action variable is output, and the target strategy network is a network model obtained after iteration gradient updating is carried out according to multiple constraint conditions; and performing energy scheduling on the plurality of energy systems in the park according to the action variables. Through the method and the device, the problem that the energy-saving and carbon-reducing effects of the park are relatively poor due to the fact that a plurality of subjects exist in the park and the objective function corresponding to the energy scheduling of each subject and the constraint condition influence each other in the prior art is solved.

This disclosure describes a drilling system that uses a resolution transformation system to generate high-resolution target data for one or more types of low-resolution data of a wellbore data log. In various implementations, the resolution transformation system uses a resolution transformation machine learning model that is generated based on high-resolution source data of a different type from the target data and a tool response function associated with the target data. Accordingly, the resolution transformation system efficiently and accurately generates high-resolution target data from the low-resolution target data, which may result in identifying downhole features that would otherwise not be indicated in the low-resolution target data.

A modular, multiport power conversion system includes a central transformer with a plurality of windings inductively connected to the central transformer. The plurality of windings are connected to ports able to connect to both AC and DC-devices, including both power sources and power consuming nodes. Each port is able to be selectively galvanically isolated, such that a controller is able to determine from which ports power is drawn and / or to which ports power is transferred. The system is operable to use zero voltage switching (ZVS) and / or zero current switching (ZCS) for each port to reduce power loss and increase efficiency, especially for high frequency embodiments.

A power converting system may include a plurality of power converting devices electrically connected to each other in parallel, each of the plurality of power converting devices including at least one switching node and connected to at least one capacitor, and a plurality of controllers each connected to the plurality of power converting devices, each of the plurality of controllers configured to, sample a targeted local electrical signal measurement associated with an electrical signal of the plurality of power converting devices over a desired time period, obtain a cost function value based on the samples of the targeted local electrical signal measurement, obtain a phase perturbation value associated with the at least one switching node of the connected power converting device, and adjust a switching pulse phase of the connected power converting device based on the cost function value and the phase perturbation value.

The invention relates to a workflow conversion system and method for converting a native node into a cloud node. The conversion system comprises a native workflow acquisition component for acquiring a native workflow to be used by a user based on a request of the user; the native node traversal component is used for traversing and analyzing the acquired native nodes in the native workflow, determining the native nodes without independence as non-transferable native nodes and determining the native nodes with independence as transferable native nodes by determining independence of the native nodes to local attributes; the cloud node conversion component is used for converting the transferable native node into a cloud node, and the converted cloud node keeps the node upstream and downstream relationship of the native node; and the workflow regeneration component is used for combining the converted cloud nodes and unconverted native nodes in the native workflow into a new workflow based on an upstream and downstream relationship, so that the new workflow comprises a local part deployed on the local equipment and a cloud part deployed on the cloud end.

The invention discloses an intelligent power transmission and transformation monitoring and fault early warning system based on Internet of Things, which relates to the technical field of power transmission and transformation monitoring and Internet of Things and comprises a data acquisition layer, a network transmission layer, a data processing layer and an early warning display layer. The functions of quantum encryption communication and self-diagnosis repair are achieved; multi-element networking is adopted for network transmission, quantum key distribution and a block chain are combined, an SDN and SD-WAN fusion architecture is used, a three-layer architecture is used for data processing, a quantum neural network and knowledge graph assistance is used, an MR technology and a brain-computer interface are used for early warning display, and all layers collaboratively guarantee efficient operation of the system. The system has obvious advantages, data acquisition is comprehensive and safe, and the sensor can be self-diagnosed and repaired; network transmission is stable and reliable, and data security is guaranteed; data processing is accurate and efficient, and early warning accuracy is improved; the early warning display interactivity is high, the equipment can be scientifically evaluated, the maintenance decision is optimized, the cost is reduced, and the stable operation of the power transmission and transformation system is ensured.

A photovoltaic energy storage and bidirectional inversion conversion system, method, device and medium relate to the photovoltaic inverter field, and the system comprises a photovoltaic inverter, a photovoltaic input DC-DC module, a DC-DC output module, a battery bidirectional DC-DC module, a bidirectional DC-AC module and a DC bus module; the first end of the photovoltaic input DC-DC module is connected with the photovoltaic panel, and the second end of the photovoltaic input DC-DC module is connected with the DC bus module; the first end of the DC-DC output module is connected with the DC bus module, and the second end of the DC-DC output module is connected with the photovoltaic inverter; the first end of the battery bidirectional DC-DC module is connected with the DC bus module, and the second end is connected with the battery; the first end of the bidirectional DC-AC module is connected with the DC bus module, the second end is connected with the load, and the third end is connected with the photovoltaic inverter. According to the application, a direct-current side transformation path is adopted, and a mode relying on alternating-current side large-scale line transformation is replaced through collaborative design of all modules.

The invention belongs to the technical field of voltage transformation, and particularly relates to a multistage power topology self-adaptive temperature control method and a voltage transformation system.The method comprises the steps that first temperature data are generated by collecting the real-time temperature of target equipment, and the power topology level where a current load is located is divided according to the first temperature data; generating a corresponding voltage adjusting instruction based on the level, and generating a control signal matched with the input characteristic to drive topology switching; after the voltage is adjusted, second temperature data are continuously collected, a temperature compensation value is calculated through comparative analysis and used for updating the voltage instruction, and closed-loop control is formed; the dynamic linkage control between the voltage output and the temperature change is realized, the response capability of the system to the load fluctuation and the thermal management precision are improved, and the problem of system instability caused by untimely voltage regulation or temperature control lag in the prior art is effectively solved, so that the overall operation efficiency and reliability are improved.