57 results about "General purpose technology" patented technology

The invention provides a positioning method, equipment and a storage medium, relates to the technical field of navigation and positioning services, and aims to solve the technical problems of low visual information utilization rate and insufficient positioning precision of a positioning method in a general technology. The positioning method comprises the following steps: acquiring initial visual data, global navigation satellite system (GNSS) data and inertial measurement unit (IMU) data of a carrier to be measured; the initial visual data comprises multiple frames of associated visual images; inputting the initial visual data into a pre-trained visual enhancement model to obtain enhanced visual data; the number of image features in the enhanced visual data is greater than the number of image features in the initial visual data; and inputting the enhanced vision data, the GNSS data and the IMU data into the fusion positioning model to obtain a positioning result of the to-be-detected carrier. According to the invention, the utilization rate of visual information is improved, and the positioning precision of the positioning result of the to-be-detected carrier is improved.

This application provide a satellite message transmission method, a system, and a terminal device, so that an identifier of a satellite message may be indicated in the satellite message, and occupation of space may be reduced. The identifier of the satellite message may facilitate association of relationships among a plurality of messages. In the method, a first terminal device generates an identifier of a satellite message based on timestamp information in response to an operation indicating to send the satellite message, and then sends the identifier of the satellite message together with message content of the satellite message. Compared with generating the identifier of the satellite message by using a general technology, generating the identifier of the satellite message based on the timestamp information may occupy less space.

The application provides an information query method and device and a storage medium, relates to the technical field of computers, and is used to solve the technical problem that general technology has strong code invasiveness when performing full-link monitoring on a PaaS platform. The method comprises the following steps: acquiring a to-be-queried time and a to-be-queried instance identifier corresponding to a to-be-queried resource instance; determining a to-be-queried link identifier based on the to-be-queried time, the to-be-queried instance identifier and a pre-established identifier information set; the identifier information set comprises a plurality of link identifier sub-sets corresponding to a plurality of instance identifiers in a one-to-one manner; the link identifier sub-set comprises a plurality of link identifiers corresponding to a plurality of historical times in a one-to-one manner; the to-be-queried link identifier is used to identify a service link associated with the to-be-queried resource instance; and link information of the service link associated with the to-be-queried resource instance is determined based on the to-be-queried link identifier.

The invention provides a risk assessment method and device, equipment, a medium and a product, relates to the technical field of risk assessment, and aims to solve the problem that the risk of a big data platform is difficult to accurately and comprehensively identify by a general technology. The risk assessment method comprises the steps of obtaining a data set summarized by a to-be-assessed object and data source features of a data source corresponding to each piece of data in the data set, determining a fusion weight of each piece of data in the data set based on the quality features, and the fusion degree of the data set is determined based on the fusion weight and the quality feature of each piece of data, and the risk value of the to-be-evaluated object is evaluated based on the fusion degree.

The application provides a data auditing method and device and a storage medium, relates to the technical field of communication, and is used for solving the technical problem of low data auditing efficiency of general technology. The data auditing method comprises the following steps: acquiring number information of a circuit to be audited; determining a data result corresponding to the number information based on a pre-established resource database, and determining an auditing result of the circuit to be audited according to the data result; the resource database comprises resource data acquired from a plurality of network management devices; the resource data comprises at least one data set; and the at least one data set comprises at least one of a circuit data set, a routing data set and a port data set.

The invention provides a universal intelligent identification method for space electromagnetic signal types, which takes 23 space target signal rapid identification functions such as analog modulation signals (AM and FM), composite modulation signals (PCM-FSK-PM) and digital modulation signals (PSK, BPSK, QPSK and the like) as space target electromagnetic signals, and uses an improved DETR network as a target detection classification algorithm framework. Target extraction and signal type identification are carried out on space electromagnetic signal features of various modulation systems, general target detection of a DETR network model is improved into a special detection model for space electromagnetic signals, 23 training data sets are input twice for an improved DETR network of hierarchical fine tuning, and compared with the core advantage of single signal input training, the method has the advantages that the training efficiency is greatly improved; according to the invention, through multi-class collaborative learning, the model network has stronger discrimination, generalization and practicability. Finally, a set of integrated, intelligent and high-precision space electromagnetic signal type intelligent identification universal technology is established, and the method has certain universality in the technical field of signal processing and analysis.

The invention belongs to the cross technical field of artificial intelligence and synthetic biology, and discloses an intelligent retrieval reasoning method and system oriented to strain development, and the method comprises the steps: collecting a document in a portable document format from an open acquisition database, carrying out document analysis processing to generate a lightweight markup language file, carrying out semantic splitting to obtain text paragraphs, and storing the text paragraphs in the open acquisition database; forming a data set; taking the split text paragraphs as input, generating a sparse vector and a dense vector for each text paragraph by utilizing a retrieval plug-in, establishing a vector mixed index framework, and respectively storing the vector mixed index framework in a database; an application interface layer is built, and a data interface used for full-text retrieval and paragraph precise reading is provided. According to the method, a general technology and a synthetic biological strain development whole process are deeply fused, and strain development key information such as gene modification, metabolism regulation and control, culture medium setting and fermentation conditions is accurately matched; and the DBTL whole-process operation efficiency of a biological manufacturing enterprise and an invention mechanism in strain development is obviously optimized.

This application provides an index creation method, apparatus, and storage medium, relating to the field of computer technology, to address the technical problem that index creation using general techniques tends to consume a large amount of storage space. The method includes: obtaining a storage region of target data; the target data comprising multiple data tuples; the storage region comprising data block information corresponding to the multiple data tuples; dividing the storage region into multiple data intervals; each data interval comprising a preset number of data blocks; creating multiple index tuples that correspond one-to-one with the multiple data intervals; and using the multiple index tuples to form an index corresponding to the target data.

The invention provides a compressor energy consumption monitoring method, device and equipment, relates to the technical field of compressor monitoring, and aims to solve the problem that fault diagnosis and early warning cannot be efficiently and accurately realized according to a compressor energy consumption monitoring result in a general technology. The compressor energy consumption monitoring method comprises the steps of obtaining historical operation monitoring data of a motor-driven compressor, and generating a compressor efficiency wear factor according to the historical operation monitoring data; the real-time motor power of the motor-driven compressor is obtained, and the estimated output power of the motor-driven compressor is generated according to the real-time motor power and the compressor efficiency wear factor; the actual output power of the compressor driven by the motor is obtained, and an output power difference value is generated according to the actual output power and the estimated output power; and determining a compressor energy consumption monitoring result according to the output power difference value.

The invention relates to the technical field of voice processing, and provides a voice analysis method and device, computer equipment and a readable storage medium, and the method comprises the steps: obtaining a to-be-analyzed conversation voice in a preset business scene, and generating preprocessed voice data; converting the preprocessed voice data into text information, and extracting acoustic features and text features of the voice data; acquiring basic language understanding and pattern recognition capability according to the acoustic features and the text features, and optimizing the basic language understanding and pattern recognition capability according to a small amount of labeled sample data corresponding to the business scene; and dialogue feature representation is generated according to the optimized acoustic features and text features, the feature representation is analyzed, an intelligent decision corresponding to the business scene is generated, and analysis of dialogue voice is completed. Through deep coupling of acoustics and text features, shallow application of traditional speech recognition is broken through, and a general technical path of small data driven accurate decision is provided for the fields of finance, medical health, old-age care and the like.

The invention provides a carbon monitoring data quality inspection method, device and equipment, a medium and a product, relates to the technical field of carbon monitoring data processing, and aims to solve the problem that targeted quality inspection cannot be performed on carbon monitoring data by a general technology. The carbon monitoring data quality inspection method comprises the following steps: acquiring an original data set; the original data set is a set of carbon monitoring data required by the target application scene; inputting the original data set into a pre-configured data conversion model to output a standardized data set; the standardized data set comprises monitoring data of at least one index; determining a quality inspection threshold value of the pre-selected index data according to the pre-selected index data in the standardized data set; the pre-selected index data is monitoring data of indexes in the standardized data set; and performing quality inspection on the pre-selected index data according to the quality inspection threshold, and determining a quality inspection result of the pre-selected index data.

The invention belongs to the technical field of digital image processing and ancient text information processing, particularly relates to an automatic oracle annotation method, system and equipment for digital literatures, and aims to solve the problem of automatic identification and annotation of oracle and Chinese character mixed literatures. The method comprises the following steps: receiving a document image, and obtaining respective coordinate areas of a plurality of characters in the image; obtaining each character image according to the coordinate area, and classifying the character images into an oracle character type or a non-oracle character type; performing differentiation recognition based on a classification result, determining codes of the oracle characters by adopting an image matching model, and determining texts of the non-oracle characters by adopting a character recognition model; and finally, associating an identification result with the coordinate region to generate a structured annotation file. According to the method, the technical bottlenecks of failure of a general OCR (Optical Character Recognition) technology, poor adaptability of a complex format and high computing power dependence are solved, and high-precision and automatic labeling of the oracle in the mixed literature in a low computing power environment is realized.

The invention relates to the general technical field of artificial intelligence, in particular to a power system high-precision modeling method based on dynamic parameter traceablility, and the method comprises the steps: S1, collecting multi-source data of a power system, and S2, carrying out the time-space alignment processing of the multi-source data of the power system, according to the method, quality evaluation is carried out on multi-source data of a target power system through the step S3, difference value indexes are obtained through the step S4, the state of deviation times is judged through the step S5, the state of deviation coefficients of different source parameters is judged through the step S6, and the target power system multi-source data is obtained through the step S5. According to the method, the state of the difference cumulative number of times is judged through the step S7, so that the accuracy of dynamic parameter tracing is improved, and the accuracy of relay protection setting calculation is further improved.

The invention provides an equipment operation and maintenance method and device, equipment, a medium and a product, relates to the technical field of operation and maintenance, and aims to solve the problem that an operation and maintenance strategy cannot be efficiently and accurately output due to insufficient understanding and calculation capabilities of a large language model for complex data in a general technology. The method comprises the steps that a to-be-processed problem, equipment operation parameters and equipment operation and maintenance rules of the temperature adjusting equipment are acquired, and the equipment operation and maintenance rules comprise equipment operation indexes, operation parameter ranges corresponding to the equipment operation indexes when the temperature adjusting equipment is in different operation states and operation and maintenance strategies when the temperature adjusting equipment is in the different operation states; the method comprises the steps of determining a target operation and maintenance index and a target operation parameter range corresponding to the target operation and maintenance index according to a to-be-processed problem and an equipment operation and maintenance rule, determining an operation state of the temperature adjusting equipment according to the equipment operation parameter, the target operation parameter range and the equipment operation and maintenance rule, and adjusting the temperature of the temperature adjusting equipment according to the operation state and the equipment operation and maintenance rule. And determining a target operation and maintenance strategy of the temperature adjusting equipment.

The invention provides a risk assessment method and device, equipment and a storage medium, relates to the technical field of risk control, and aims to solve the problem that weight setting is limited when a customer risk level is determined by a general technology. The risk assessment method comprises the steps of obtaining risk assessment features of a to-be-assessed object; the risk assessment feature is used for representing the operation condition of the to-be-assessed object from multiple dimensions; determining a current risk assessment value of the to-be-assessed object according to the risk assessment features; updating a current assessment weight corresponding to the current risk assessment value according to a historical assessment weight corresponding to the historical risk assessment value; and determining a risk assessment result of the to-be-assessed object according to the current assessment weight and the current risk assessment value. The risk assessment result of the to-be-assessed object can be accurately determined.

The invention provides a network configuration auditing method and device, equipment, a medium and a product, relates to the technical field of communication, and aims to solve the technical problems of low checking efficiency and low checking accuracy caused by a mode of manually checking network configuration information in the general technology. The method comprises the following steps: acquiring a device type and network configuration information of a to-be-audited network device; obtaining a target network configuration auditing template corresponding to the device type of the to-be-audited network device from a pre-established network configuration auditing template set; the network configuration auditing template set comprises network configuration auditing templates corresponding to different device types; the target network configuration auditing template comprises an auditing rule corresponding to the to-be-audited configuration parameter; and auditing the network configuration information based on the target network configuration auditing template to obtain a network configuration auditing result of the to-be-audited network equipment. According to the invention, the checking efficiency and checking accuracy of the network configuration information issued to the network equipment can be improved.

The invention relates to the general technical field of artificial intelligence, in particular to a cross-mechanism privacy protection data system and method based on deep learning, and the system comprises a data collection module which collects mechanism data and characterization data; the data grading module is used for grading the mechanism data; the data scheme selection module is used for selecting a data compression and encryption combination scheme; the dynamic privacy budget distribution module is used for calculating a budget distribution proportion; the intelligent compression and encryption module is used for encrypting and compressing the mechanism data; and the cross-mechanism data transmission module is used for transmitting the mechanism data according to the feature alignment data. According to the method, deep learning is carried out on the mechanism data, and data grading and compression encryption scheme selection are carried out on the mechanism data, so that the security requirement of cross-mechanism privacy protection data is met, meanwhile, a data entity with a smaller size is generated, and the calculation pressure of data cross-mechanism is reduced.

The invention discloses a multi-step reasoning information acquisition method, system and device and a storage medium, which are corresponding schemes: performing semantic analysis and dynamic correction on task query by using a large language model to realize multi-step reasoning and adaptive optimization of query semantics; moreover, an incremental multi-path recall system fused by heterogeneous associated signals is designed, and keyword, semantic and structured features are fully fused through a multi-path, multi-view and multi-round progressive recall joint mechanism, so that high-coverage and high-precision candidate information recall is realized; in addition, a fine ranking scheme based on deep thinking (thinking chain) and reasoning expansion is provided, and interpretable logic analysis and accurate ranking are carried out on candidate information. Generally speaking, the information understanding, reasoning depth and retrieval accuracy of the model under the complex incidence relation can be remarkably improved while the calculation efficiency is kept, and universal technical support is provided for a high-reliability knowledge acquisition and scientific intelligent system.

The application provides a fault processing method and device and a storage medium, relates to the technical field of communication, and is used for solving the technical problem that general technology cannot quickly process network faults. The fault processing method comprises the following steps: acquiring a fault area of a fault network; acquiring operation information of a base station corresponding to a target operation subject in the fault area and not having a network fault; and when the operation information of the base station corresponding to the target operation subject meets preset bearing conditions, sharing network resources corresponding to the target operation subject by the base station corresponding to the target operation subject to user equipment in the fault area.

The invention provides a Modbus RTU bus address allocation and address registration method, and relates to the technical field of industrial universality. The method provided by the invention comprises the following steps: firstly, a slave receives a discovery broadcast and sends a registration response with a first verification code HMACS to a host by taking a temporary address as a source address; the host receives the registration response and executes conflict detection, then performs primary verification, and sends an address allocation instruction with a second verification code HMACC to the slave; the slave receives the instruction and performs secondary verification, stores a formal address after verification succeeds, and sends an address confirmation instruction to the host by taking the address as a source address; and the host receives the address confirmation instruction, updates the slave state and stores the equipment information. According to the invention, the purposes of self-discovery of the slave and high security and high reliability of address allocation are achieved.

The application discloses a general technical architecture method and system based on building energy internet of things, which comprises the following steps: selecting an access protocol according to the type of equipment, and accessing the end side of the energy system basic operation related equipment; matching the corresponding solution according to the business function of the end side access equipment, and converting the communication protocol of the end side access equipment into an MQTT protocol; constructing an internet of things data unified gathering layer, converting the communication protocol of a third party system into the MQTT protocol, gathering the data uploaded by the end side, the side and the third party system to the internet of things data unified gathering layer based on the MQTT protocol; extracting the data gathered by the internet of things data unified gathering layer to a data transfer system for data transfer through the internal data processing side of the cloud side, and storing the obtained transfer data to a data storage layer through a business adaptation layer. The application can realize the functions of wide access, simple analysis and efficient conversion of data for building energy scenes.

This application provides a fault detection method, apparatus, and storage medium, relating to the field of communication technology, to address the technical problem of low fault detection efficiency in general technologies. The fault detection method includes: acquiring alarm information sent by an alarm device; determining the fault result corresponding to the alarm information based on a pre-created service resource tree model; the service resource tree model represents the routing topology of multiple communication links; and the alarm device is a network device on at least one of the multiple communication links.

The invention discloses an endogenous behavior constraint method and device for a dynamic physical system. The method comprises the following steps: fusing state confidence coefficients of a plurality of heterogeneous function units in a system in real time, and generating system integrity continuous scalar measurement; resolving the measurement into a dynamic constraint boundary parameter through a parameterized nonlinear mapping function; and the on-line instruction arbiter carries out optimized projection on the original instruction and outputs a safety instruction. Correspondingly, the invention provides a dynamic behavior constraint system which comprises a multi-source confidence fusion module, a nonlinear boundary mapping module and an online instruction arbitration module which are in communication connection in sequence. According to the method, security constraints are changed from dependence on external information into'endogenous attributes' derived from internal state evaluation, real-time, dynamic and non-linear adaptive adjustment of security boundaries is realized, the problem that a static model inevitably loses efficacy under system uncertainty is fundamentally solved, and a verifiable general technical framework is provided for meeting the requirement of'continuous security '.

The present disclosure relates to an audio recognition method and device, equipment and storage medium, and belongs to the technical field of computer, which is used to solve the problem of low efficiency of audio recognition model in general technology. The audio recognition method comprises: obtaining to-be-recognized audio data; inputting the to-be-recognized audio data into a target recognition model trained in advance to obtain a recognition result; the target recognition model comprises a plurality of target audio recognition modules; the target audio recognition module is used to obtain a target verification result by verifying the input audio data based on a target verification unit corresponding to the target audio recognition module; the target verification result is used to represent whether to skip the identification processing of the input audio data by the target audio recognition module; the input audio data is audio feature data based on the to-be-recognized audio data; and the target verification unit is used to verify whether the audio signal feature of the input audio data meets a target feature range.

The application discloses a human resource vertical category model training method based on HR-RAG knowledge enhancement, belongs to the technical field of human resource vertical category model training, and comprises the following steps: step 1, knowledge structuring and building, step 2, designing a retrieval enhancement strategy, step 3, correlation coding and fusion, step 4, task alignment and incremental training, and step 5, confrontation verification and optimization. Through the HR vertical knowledge graph and the weighted retrieval strategy, the accurate adaptation of knowledge and business scenarios is realized, the general technical knowledge matching misplacement problem is solved, and the pertinence of model generated content is improved. Meanwhile, relying on the knowledge updating and incremental training mechanism, new rules and system iteration content can be quickly integrated, the knowledge lag problem is solved, and the output content can meet the latest requirements.

The invention provides an abnormal data determination method and system, relates to the technical field of data management, and aims to solve the technical problem that abnormal data determination of data in a plurality of data systems cannot be realized in a general technology. The abnormal data determination method comprises the following steps: obtaining to-be-classified data from a plurality of different data systems; classifying according to the attribute information of the to-be-classified data, and determining a to-be-processed data set of at least one category; for the to-be-processed data set of each category, acquiring data distribution characteristics of the to-be-processed data set; the to-be-processed data set comprises data of the same service type in a plurality of different data systems; and determining whether the to-be-processed data is abnormal data or not according to the to-be-processed data in the to-be-processed data set and the data distribution characteristics of the to-be-processed data set. According to the invention, data storage of a plurality of different data systems can be realized, and anomaly detection and early warning can be carried out on the stored data.

The invention discloses an electric power data flow scheduling method for an electric power system, and belongs to the technical field of electric power communication networks. The method comprises the following steps: representing and classifying a power data stream by adopting a quintuple; mapping the data streams to different priority queues according to a classification result; establishing a scheduling function with the goal of maximizing the weighted throughput of the power business, and performing scheduling sorting based on multiple power business factors; and according to a sorting result, a time slot offset scheduling scheme is adopted to allocate transmission time slots for the power data streams. Furthermore, for data streams with high time synchronization requirements, zero-jitter transmission is realized by adopting a wait-free shaper. According to the method, the general TSN technology and the power business characteristics are deeply fused, and the problem that the multi-business differentiation and high-determinacy transmission requirements of the power system cannot be met in the prior art is solved through the full-process design from business identification, priority mapping, power special sorting to constraint-driven scheduling.

The present application provides a data processing method, device, and storage medium, relating to the field of computer technology, and is used to solve the technical problem of low efficiency in processing data of a type not supported by an edit box in general technology. The method includes: in response to a paste operation performed by a user in a target edit box, obtaining the data type of the data to be pasted and the target data type supported by the target edit box; in response to a failure to match the data type of the data to be pasted and the presence of a target conversion rule in a preset conversion rule set, converting the data to be pasted based on the target conversion rule to obtain converted data to be pasted; the target conversion rule is used to convert the data type of the data to be pasted into the target data type; and displaying the converted data to be pasted in the target edit box.

The invention provides a working condition determination method, device and equipment of a water pump unit and a medium, relates to the technical field of water pump units, and aims to solve the problems that the efficiency of determining the working condition of the water pump unit by a general technology is low and the working condition of the water pump unit cannot be fully known. The working condition determining method for the water pump unit comprises the steps that working condition data of the water pump unit in multiple time periods and environment data of the environment where the water pump unit is located are obtained; determining output power time sequence data of the water pump unit according to the working condition data and the environment data of the water pump unit; the output power time sequence data comprises water pump unit output power of the water pump unit in a plurality of time periods; and determining the working condition of the water pump unit according to the output power time sequence data and the standard output power time sequence data.

The invention discloses a general technical architecture method and system based on a building energy internet of things, and the method comprises the steps: selecting an access protocol according to the type of equipment, and enabling the basic operation related equipment of an energy system to be connected to an end side; a corresponding solution is matched according to the service function of the end side access equipment, and a communication protocol of the end side access equipment is converted into an MQTT protocol; constructing an Internet of Things data unified convergence layer, converting a communication protocol of a third-party system into an MQTT protocol, and converging data uploaded by an end side, a side side and the third-party system to the Internet of Things data unified convergence layer based on the MQTT protocol; and extracting the data converged by the Internet of Things data unified convergence layer to a data relay system for data relay through an internal data processing side of the cloud side, and storing the obtained relay data to a data storage layer through a service adaptation layer. According to the invention, the functions of wide access, simple analysis and efficient conversion of the data of the building energy scene can be realized.