13results about How to "Realize systematic management" patented technology

The invention discloses an electric power knowledge system construction and intelligent question and answer method based on a lightweight large model, and relates to the technical field of artificial intelligence, and the method comprises the steps: constructing an electric power field knowledge system, and building a reasoning logic classification system to carry out the classification marking of a knowledge base in the electric power field knowledge system; based on the power domain knowledge system, a multi-dimensional similarity matching strategy is adopted to process a problem input by a user; generating a reasoning link based on a matching result of the multi-dimensional similarity matching strategy; the reasoning link is used for extracting and combining answers from the power domain knowledge system, and the generation process of the reasoning link comprises question decomposition and answer integration. According to the invention, systematic management of electric power professional knowledge is realized, and the matching accuracy of professional problems is improved; by generating the self-adaptive multi-hop reasoning link based on the question type and combining the question decomposition and answer integration technology, the intelligent question and answer ability of the system under the scenes of power equipment fault diagnosis, maintenance scheme recommendation, risk assessment and the like is improved.

The invention discloses a method, a system and equipment for optimizing batching parameters in an industrial silicon smelting process. The method comprises the following steps: firstly, acquiring process parameters in an industrial silicon smelting process, standardizing the process parameters, then converting the process parameters into weight factors influencing a smelting result, and mapping a relation between the smelting result and the weight factors into a parameter equation based on a preset multiple linear regression model, obtaining a parameter set containing a weight factor and a linear regression coefficient; then, based on the parameter set, the initial raw material parameters and the reaction process parameters, an equivalent circuit model is constructed and simulated to generate smelting result data under different parameter combinations, and therefore parameter adjustment variables are obtained; according to the numerical range of the parameter adjustment variables and the initial raw material parameters, an optimal batching parameter combination is obtained; and finally, performing optimization treatment on batching parameters in the industrial silicon smelting process. According to the method, accurate control and rapid optimization adjustment of batching parameters can be stably achieved in the industrial silicon smelting process.

The invention discloses a substation unmanned aerial vehicle middle and low altitude automatic flight patrol safety management and control method, and relates to the technical field of intelligent operation and maintenance of power system equipment, and the method comprises the steps: setting a plurality of micro radar signal sources in a substation, and testing the signal intensity of a wireless communication system; dividing an interference area through the three-dimensional model of the transformer substation, recording the coordinates of the area causing the abnormity of the unmanned aerial vehicle equipment, and setting the area as a flight forbidden area; and generating an unmanned aerial vehicle flight path based on the transformer substation three-dimensional model, and setting a corresponding flight height and an electrified equipment distance according to different voltage class sites. According to the invention, double-AP module distributed deployment and multi-direction obstacle avoidance module configuration are adopted, so that the reliability of a communication link and the flight safety are guaranteed; based on interference area identification and differentiated parameter setting of a three-dimensional model, a precise control mechanism for different voltage levels is established, and the reliability and operation efficiency of automatic inspection of the unmanned aerial vehicle are improved.

The invention belongs to the technical field of constructional engineering, and particularly relates to a Revit-based fabricated component family library construction and use method, which comprises the following steps: dividing a component family library into twelve system categories of three major majors of building, structure and electromechanical, standardizing naming and coding principles of corresponding component families, and gathering the component families in a table form; parameter elements and parameter categories of the component families are specified, the same parameters of the same component families are controlled by'type parameters', individual differences of the component families are controlled by'instance parameters', and the component families of different system categories are associated with one another by'global parameters', so that linkage between models is constructed; and performing encryption processing on the component family storage to protect the intangible digital assets. According to the invention, informatization, standardization and systematization management of components and parts are realized, the whole industry chain service of the building is supported, basic support is provided for application of the BIM model, and the current situation barrier of the industry is broken.

The invention discloses a whole-process intelligent management method and system for a nuclear medicine clinical use scene, and relates to the technical field of nuclear medicine management, and the system comprises a nuclear medicine order management module, a nuclear medicine quality control management module, a medicine use management module and an alarm management module. The medicine checking order management module generates a medicine checking order according to the patient detection items; the nuclear medicine quality control management module records detection information of the nuclear medicine produced through the nuclear medicine order, and stores the nuclear medicine after determining that the nuclear medicine is qualified according to the detection information; the medication management module determines to-be-received medicine checking information according to the patient examination items, obtains received medicine checking information obtained by scanning medicine information codes of received medicine checking, and judges the consistency of the to-be-received medicine checking information and the received medicine checking information; and time unification is carried out by adopting a clock synchronization mode. The application can ensure that the activity of the nuclear medicine meets the requirement during use, and the medicine type is matched with the diagnosis and treatment item of the patient, thereby ensuring the diagnosis and examination effect and medication safety.

The invention discloses a tracking method, system, medium and equipment for mold finished product tracing, and relates to the technical field of mold tracking. The method comprises the following steps: determining a target mold and a plurality of spare and accessory parts required for assembling the target mold according to a current order; establishing a hierarchical database of the target mold and the corresponding spare and accessory parts; determining a currently processed target part, and determining a target transfer path of the target part according to the hierarchical database; and generating an assembly tracking report of the target mold based on the current position and state information of each target part and the corresponding target transfer path. By implementing the technical scheme provided by the invention, each part of the mold can be accurately tracked in time, so that the efficiency of the mold assembly process is improved.

The invention relates to the technical field of furniture intelligent production, in particular to a wooden furniture product BOM and production process association method, production scheduling method and system, and the association method comprises the steps: obtaining a BOM information table of a product according to a data model of the product; according to a preset rule, collecting production process characteristics, which can be realized in the product production process, of a production site corresponding to the product; a key data field in the data fields of the BOM information table is associated with at least one production process feature through a preset algorithm, and the key data field refers to a data field related to the production process; and according to the relevance between the key data fields and the production process characteristics, establishing a BOM and production process relevance matching rule. According to the method and the device, the accurate corresponding relation between the BOM and the production process can be determined, the data format is unified, the production statistical data has an accurate data source, and the data can be conveniently and timely adjusted when the production process is changed.

The invention relates to the technical field of substance and component extraction, and discloses a plantain herb antioxidant substance extraction system which comprises a data extraction module, a first data acquisition module and a prediction antioxidant module. The antioxidant substances in the plantain herb are extracted under the assistance of ultrasonic waves, and the extract is subjected to antioxidant activity evaluation and main component analysis. Through antioxidant activity evaluation and main component analysis, antioxidant experiment records are obtained from a plantain molecular experiment database, classification is performed according to an antioxidant determination method, and an antioxidant data dichotomy database is constructed. And constructing an osteoarthritis simulation model based on the osteoarthritis data, training the osteoarthritis simulation model by using the data in the anti-oxidation dichotomy database, and predicting the influence of the plantain herb anti-oxidation data on the osteoarthritis. The method is used for extracting the antioxidant substances in the plantain herb, greatly saves the separation and purification period, and effectively evaluates the potential influence of the antioxidant substances in the plantain herb on the osteoarthritis treatment effect.

The invention discloses a transformer substation and multi-master station cloud edge collaborative automatic point alignment method and device, computer equipment and a storage medium, and relates to the technical field of transformer substations, and the method comprises the steps: configuring a special communication network between a transformer substation total scheduling control station and a subordinate sub-scheduling control master station, and distributing a unique number for each sub-scheduling control master station; classifying instant data and non-instant data of the electrical data collected by the sub-scheduling control master station; and selecting the sub-scheduling control master station with the highest electrical data repetition degree as an adjacent sub-scheduling control master station, carrying out information communication with the sub-scheduling control master station, and carrying out non-instant data backup. According to the method, a unique number is distributed to each sub-scheduling control master station by adopting the linear growth function, systematic management of the numbers is realized, then the uniqueness of each sub-scheduling control master station is ensured by using the numbers in a three-digit form, understanding and management are facilitated, and the effects of simplifying the operation process and improving the management efficiency are achieved.

The application relates to a label system-based Internet of Things monitoring model construction method and belongs to the field of natural language processing. The method comprises the following steps: establishing an initial label system, manually labeling a structured data set based on the initial label system, and constructing a first training sample set; constructing a Bert model, training the Bert model based on the first training sample set to obtain a trained Bert model; inputting business data into the trained Bert model to obtain corresponding characteristic values, and obtaining a perfect label system based on the characteristic values; constructing an Internet of Things monitoring model, using the Internet of Things monitoring model to predict business data to obtain predicted business data; using the perfect label system to label the predicted business data to construct a second training sample set; and training the Internet of Things monitoring model based on the second training sample set to obtain a trained Internet of Things monitoring model. The method can automatically generate feature labels required by business, label business data by using a perfect label system, and improve the recognition effect and training efficiency of the model.

The invention discloses an asynchronous task visual management system and method, and relates to the field of network communication, and the system comprises a task receiver which is used for receiving an asynchronous task, and generating an asynchronous task message and an asynchronous task ID according to an event parameter of the asynchronous task; the task manager is connected with the task receiver, and performs task queue scheduling according to the asynchronous task message and the asynchronous task ID; the task executor is connected with the task manager and used for executing asynchronous tasks in sequence according to the scheduled task queue; and the monitoring module is connected with the task executor and is used for monitoring the execution state of each asynchronous task, visually displaying the execution progress and the execution result and sending the execution result to a user. According to the method and the device, systematic management and visual display of the asynchronous tasks can be realized.

The present application discloses a method and system for processing complex quotation orders, which have beneficial effects: a data storage structure based on JSONB is adopted, which can store various types of detection parameters and detection times, can easily cope with multi-dimensional parameter changes, and has high scalability and adaptability; a complete data structure is established to facilitate query and processing, which not only improves management efficiency, but also provides convenient support for quotation formulation and order processing; customized according to customer needs and product characteristics, through flexible adjustment of the combination of detection items and times, to provide personalized quotation solutions to meet their specific needs, with broad market prospects; through intelligent algorithms and data management, the detection cost can be effectively controlled and the accuracy of the quotation is improved; comprehensive data support is provided, so that various needs and changes can be efficiently and accurately responded to in the processing of complex quotation orders, and comprehensive data management capabilities are possessed, with obvious advantages.

The invention provides a wind power blade test data query method, system and device and a storage medium, and the method comprises the steps: obtaining test data of multi-source fusion, the test data comprising blade test experimental data, laboratory state record data, test blade design parameters, test blade manufacturing parameters, and test blade damage and maintenance data; cleaning and uniformizing the test data to obtain imported data; classifying the imported data according to a preset category, and integrating the imported data into a wind power blade test database according to a classification result; obtaining a query request and performing legality verification, wherein the query request carries a blade model and a test condition; and according to the blade model and the test working condition, performing traversal query in the wind power blade test database, and performing fatigue query judgment to generate query data. According to the method, the test data can be efficiently and reliably queried, the test data can be fully and efficiently utilized, and the quality of subsequent iteration products can be improved.