19results about How to "Improve authority" patented technology

The invention discloses an electric energy metering error evaluation method and system for a direct current charging pile, equipment and a medium, and the method comprises the steps: constructing an electric energy disturbance response function based on transient voltage and transient current, and effectively quantifying the transient metering deviation caused by measurement lag, voltage drop, current peak and other factors in the actual operation of the direct current charging pile. Error reconstruction modeling has higher dynamic adaptive capacity and physical rationality, the limitation that in the prior art, the influence of the high-variable-load working condition on metering cannot be reflected is broken through, and the accuracy and timeliness of direct-current charging pile error monitoring are greatly improved. Besides, a standard error is introduced to carry out fitting calibration on a reconstruction error and carry out energy conservation verification, thereby realizing verifiability on a physical level and controllability in engineering implementation, enhancing credibility and authority of an evaluation result, constructing a closed-loop analysis mechanism from error evaluation to metering correction and then to conservation verification, and improving reliability and reliability of the evaluation result. And the closeness and the adaptive capability of the overall error evaluation are improved.

The application provides a cable insulation aging evaluation method based on high-voltage frequency domain dielectric response characteristic quantity, under the condition that the insulation electric field intensity is 0.5kV / mm-1kV / mm, an ultralow frequency sweep test signal is applied to the measured cable under three different voltages, and the dielectric loss tangent value frequency domain response curve corresponding to each voltage level is obtained; at least two dielectric characteristic quantities are calculated based on the frequency domain response curve, the dielectric characteristic quantities include a first characteristic quantity representing the discrete degree of the dielectric loss tangent value under different voltages, and a second characteristic quantity representing the frequency domain integral characteristic of the dielectric loss tangent value under the highest test voltage; based on a preset correlation evaluation model taking the cable insulation mechanical performance aging index as a benchmark, the insulation health state score of the measured cable is calculated by combining the dielectric characteristic quantities, and the insulation aging state is determined according to the health state score.

The invention discloses a risk detection method, device and equipment for financial institution issuing items and a medium. The method comprises the following steps: calling an auxiliary platform data interface to obtain auxiliary service information according to a project identifier of a commanded item in response to the commanded item received from a payment gateway of a financial institution; synchronously acquiring associated business data for risk feature calculation; according to the auxiliary service information, performing compliance and authenticity verification on the issued item; if the verification is passed, taking a payer or a payee who issues the item on behalf as an analysis subject, and combining historical similar item records and associated business data of the analysis subject to generate multi-dimensional risk features; inputting the multi-dimensional risk features into a plurality of pre-constructed risk identification models, and generating corresponding risk signals; and according to the risk signal, generating risk alarm information of the issuing item. According to the embodiment of the invention, the intelligent, real-time and precise risk identification and early warning of the issuing items can be realized.

The application discloses a lifting type safety socket for dormitory and relates to the field of sockets for dormitory.The socket comprises a mounting box, the mounting box is installed below the desktop of the dormitory, a lifting box is slidingly connected in the mounting box and can be kept in the extended state by the limiting structure after extending out of the desktop, a plug-in box is embedded in the mounting groove of the lifting box through the locking structure, an overload protector is arranged in the lifting box, the reset button of the overload protector can release the locking of the plug-in box by the locking structure after being popped out, the plug-in box can leave the mounting groove after the locking structure is released, and the lifting box can descend back into the mounting box after the plug-in box leaves the mounting groove.When the electric power exceeds the threshold value, the overload protector in the lifting box automatically cuts off the power supply, and the lifting box is collected into the mounting box after the plug-in box is popped out, so that the accurate control of the electric power of each bed in the dormitory is realized at a low cost.

This invention relates to a method for patent retrieval and technology monitoring of multi-source heterogeneous data. It constructs a multimodal semantic representation including text, images, and time-series fragments, and generates a joint temporal representation vector by combining attention perturbation entropy and term evolution distance. A unified semantic space is established based on historical technology anchors, dynamically monitoring and quantifying semantic shifts to achieve real-time determination of drift trends. When substantial semantic drift occurs, local semantic correction is performed using gated contrastive learning and an anchor-aware adaptation layer to guide the orderly alignment of newly added modal features, ensuring the continuation and expansion of the original semantic topology. Simultaneously, an anchor decay and candidate new anchor generation mechanism is designed, combining cross-validation from patent citations, industry reports, and policy documents to achieve incremental expansion of the semantically stable anchor set. This scheme effectively improves the fusion accuracy, real-time adaptability, and dynamic topology update capability of multimodal patent data.

The application provides a kind of thermal protection interlock logic knowledge base construction method and system, comprising: based on graph database construction knowledge graph;Combining the initial knowledge item generated by preset hazard dimension, and retrieve the citation basis related to initial knowledge item from multi-source thermal data, the citation basis is associated with initial knowledge item, form the knowledge item after association;The associated knowledge item is verified in multiple rounds, and the verification includes calling the existing knowledge in the knowledge graph for logical self-checking, cross verification with historical knowledge items and backstepping verification based on accident cases, and output the knowledge item that passes the verification;Continuously monitor the thermal data source, generate knowledge update proposal based on the knowledge item that passes the verification, and update the knowledge graph and knowledge item after compatibility verification and artificial review of the update proposal.The application reduces the risk of knowledge deviation caused by human error through automated process and multiple verification mechanisms.

The invention discloses a medical statistics large model agent, a construction method and equipment thereof and a storage medium. The method comprises the following steps: constructing a structured medical statistics knowledge base by performing semantic analysis and knowledge extraction on medical statistics related guidelines, regulatory literatures and academic papers; contextual information of a medical statistics target task is obtained, and the contextual information is provided for a large language model after being subjected to structured semantic conversion through a unified cognitive interface; generating and executing a structured task instruction based on the medical statistics knowledge base and the context information through a large language model; and verifying and optimizing an output result of executing the structured task instruction through a closed-loop reflection iteration mechanism, and improving a statistical analysis process in the large language model based on an optimization result, so as to obtain a medical statistical large model agent. According to the invention, statistics of medical data is realized through the medical statistics large model agent, and the efficiency and quality of medical statistics are improved.

This invention discloses a testing device for sensitive components of a linear temperature-sensitive fire detector, belonging to the field of fire detector testing technology. It includes a housing, a heating system, a temperature control system, and a heat dissipation system. The heating system employs a surface-mount heat conduction heating cavity and a matching heating device. The temperature control system is based on a PLC industrial control integrated computer. This invention designs standardized testing methods for both constant-temperature and differential-temperature alarm-type sensitive components. During the heating process, online thermal characteristic identification and predictive temperature control algorithms achieve precise regulation of the temperature rise rate. During the constant-temperature process, a Smith predictor combined with an adaptive PI algorithm achieves stable temperature control. Multiple safety protection functions are also included. This invention solves the problems of low temperature control accuracy, non-standardized testing procedures, inability to realistically simulate the temperature rise process, low testing efficiency, and potential safety hazards in existing testing methods. The testing process closely matches the actual working environment of the component, and the results meet standard testing requirements.

The invention relates to the technical field of energy efficiency and carbon efficiency evaluation, in particular to an enterprise energy efficiency and carbon efficiency dynamic benchmarking platform and method, and the platform comprises a data collection module, an environmental value collaborative authentication module, an industry chain green value tracking module and a dynamic benchmarking calculation module. And constructing an environmental value credibility evaluation model to check carbon emission reduction, defining an industrial chain node green power consumption boundary and metering a full-link green value, and realizing enterprise intelligent grading in combination with a dynamic weight mechanism and a comprehensive evaluation algorithm. The problems of benchmarking staticization, single dimension, incomplete value accounting and the like in the prior art are solved, and the accuracy and collaboration of energy efficiency and carbon efficiency evaluation are improved.

The invention discloses an intelligent question and answer result comparison and traceability method and system for power marketing, and relates to the technical field of intelligent question and answer, and the method comprises the steps: S1, generating a plurality of intelligent responses according to the consultation content; s2, identifying key information associated with the power marketing business according to the intelligent response and performing information comparison; s3, querying a power marketing background business system in real time and performing conflict judgment according to the key information after comparison is completed, and obtaining target business data directly associated with the key information; s4, in the generated response, embedding a traceability link pointing to the target business data based on a traceability mechanism, and performing data traceability according to the traceability link; according to the method, specific business data and calculation logic can be traced, the credibility and transparency of the question and answer result are enhanced, and the reliability of the answer result is improved.

The invention discloses a safe starting method and related equipment, and the safe starting method comprises the steps: responding to a detected preset safe starting condition, employing a national root certificate preset in a processor to carry out the trusted measurement of an intermediate root certificate, and enabling the intermediate root certificate to be stored in an external storage space of the processor; when the trusted measurement of the intermediate root certificate is passed, the intermediate root certificate is adopted to carry out trusted measurement on an intermediate application certificate, and the intermediate application certificate is stored in an external storage space of the processor; when the trusted measurement of the intermediate application certificate is passed, the intermediate application certificate is adopted to carry out trusted measurement on the user certificate, and the user certificate is stored in an external storage space of the processor; when the trusted measurement of the user certificate is passed, adopting the user certificate to carry out trusted measurement on the basic input / output system; and when the trusted measurement of the basic input and output system passes, running the basic input and output system. According to the technical scheme of the invention, the reliability, credibility and authority of trust chain verification can be improved.

This invention provides a multi-agent traceable decision-making system and method for environmental data mining, belonging to the interdisciplinary field of artificial intelligence and environmental informatics. The system includes: a task complexity assessment module, a multi-agent conditional collaboration module, an arbitrator triggering and adjudication module, an environmental knowledge graph module, a feedback learning optimization module, and a decision tracing and visualization module. The method includes the following steps: Step 1: Task complexity assessment and collaboration mode allocation; Step 2: Parallel processing and dynamic collaboration of two intelligent analysts; Step 3: Consistency check and arbitration triggering; Step 4: Arbitrator adjudication and weight integration; Step 5: Human expert correction and weight optimization feedback; Step 6: Decision tracing and weight visualization. This invention enables more accurate decision optimization, significantly improves the professionalism and accuracy of decision-making, and possesses the ability to proactively identify and prevent potential problems.

The application discloses a spoken language evaluation system and method based on multiple dimensions, and relates to the technical field of data processing.The system comprises the following steps: obtaining audio text, a phoneme list and a phoneme time boundary list corresponding to speech data according to a pre-trained text phoneme recognition model; calculating a fluency score according to the phoneme list and the phoneme time boundary list; obtaining a semantic score of the audio text through a pre-trained semantic model; obtaining a syntax score of the audio text through a pre-trained syntax model; matching the audio text and an answer text according to a text matching method based on an edit distance to obtain a text matching score; obtaining a pronunciation score of the audio data finally through phoneme confidence of the phoneme list; dynamically adjusting the weight of each dimension score according to the length of the audio text, and calculating a final spoken language evaluation score; and the application comprehensively evaluates the spoken language ability through multi-dimensional evaluation and dynamic weight adjustment according to the scene, and realizes the comprehensiveness, fairness, accuracy and high efficiency of the spoken language evaluation.

The invention discloses an ancient bridge deflection non-contact measurement method based on binocular vision. In order to solve the problem that the ancient bridge is made of a special material and cannot adopt a contact sensor due to the limitation of cultural relic protection, a high-contrast artificial vision mark point is arranged at a to-be-detected point, and laser irradiation is assisted to enhance image features; a binocular camera system is accurately calibrated through a Zhang Zhengyou calibration method, and the geometric accuracy is improved by combining distortion removal and epipolar correction; realizing three-dimensional reconstruction of the mark points by using a block matching algorithm, and extracting vertical displacement as an initial deflection value; and a dial indicator is synchronously introduced for calibration. Experiments show that after error calibration, the average relative error of the final deflection measurement result relative to the reference value of the dial indicator is stably controlled within 7%, the engineering precision requirements of safety preliminary evaluation and health monitoring of the ancient bridge structure are met, real non-destructive, low-cost and high-reliability ancient bridge deflection measurement is achieved, and the method is suitable for popularization and application. And a feasible technical path is provided for cultural relic bridge health monitoring.

The utility model relates to calibration metering equipment for an experiment impact device, which comprises a main frame, the top of the main frame is provided with a top cross beam, and the bottom of the rear end of the top cross beam is connected with a vertical beam and an inclined beam; the bottom of the vertical beam and the bottom of the oblique beam are jointly connected with a base. The bottom of the top cross beam is provided with a drop hammer retracting and releasing tool, a suspension wire guiding tool and a standard height gear tool, and the standard height gear tool is provided with a plurality of wire positions for measuring height marks; a metering drop hammer is suspended below the suspension wire guiding tool, and the top of the metering drop hammer is connected with a drop hammer retracting and releasing tool through a suspension wire of the suspension wire guiding tool. During implementation, the standard height gear tool is used as a standard position caliper structure of a corresponding metering drop hammer. The bottom of the metering drop hammer is flush with a certain line position on the standard height gear tool, and the current standard height of the metering drop hammer can be observed and recorded through the line position.

The invention provides a wine cross-flow filtration flow rate control method and system, a fixed terminal turbidity target value is determined according to product standards and downstream process requirements, an initial circulation flow rate reference value and an initial operation pressure are determined according to initial characteristic parameters and preset membrane module process parameters, and then cross-flow filtration is started. The real-time turbidity, the transmembrane pressure difference and the permeate flux of the filtrate are monitored synchronously, the membrane pollution development index is determined based on the rising rate of the transmembrane pressure difference and the falling rate of the permeate flux, and then the circulation flow rate is adjusted according to the comparison result of the membrane pollution development index and the preset membrane pollution threshold value. And when the real-time turbidity is continuously lower than the terminal turbidity target value and the transmembrane pressure difference and the permeate flux are in a reasonable working condition range, judging that the wine filtration is completed. By adopting the scheme of the invention, intelligent flow velocity control can be performed on wine cross-flow filtration based on the predicted pollution trend at the initial stage of filtration.

Embodiments of the present application disclose a training sample generation method and a corresponding device. The method comprises: obtaining original question and answer data, the original question and answer data comprising query text, document data and first reply data, the document data comprising at least one reference document retrieved based on the query text and used to generate the first reply data, and the first reply data comprising conclusion data; calling a second large language model to analyze a corresponding relationship between the conclusion data in the first reply data and a target reference document in the reference document; calling a third large language model to obtain metadata of the target reference document, the metadata being used to indicate authoritative information of the target reference document; calling a fourth large language model to generate second reply data based on the first reply data, the corresponding relationship and the authoritative information of the target reference document; and generating a training sample based on the query text and the second reply data to train a question and answer model. The scheme can effectively improve the efficiency and quality of generating training samples.

The invention provides a test method and device for dynamic change of radio measurement and control capability, and relates to the technical field of equipment test identification, and the method comprises the steps: carrying out the mission demand analysis and capability index decomposition of radio measurement and control, and obtaining a multi-level capability index system; screening capability sensitive factors based on a multi-level capability index system, determining the level number of the capability sensitive factors through an orthogonal test design model, and generating a test sample space; injecting multi-dimensional conditions into the test sample space and performing confrontation environment simulation; normalization processing is carried out on collected data in the simulation experiment result, single-point performance fitting is carried out in combination with an expert scoring arithmetic average model, and a capability evaluation result is obtained; and establishing a ternary second-order regression model for the electromagnetic interference intensity according to a capability evaluation result, and searching a performance value maximum condition combination dynamic change result for the ternary second-order regression model. The problem that the nonlinear relation between the electromagnetic interference intensity and the measurement and control efficiency cannot be dynamically quantified is solved.

This invention specifically discloses a method, system, device, and medium for behavioral intervention of children's visual and spinal health, relating to the field of children's health management service technology. The method comprises the following steps: S1. Based on a classification framework of posture, light, and distance, acquire children's sitting posture, environment, and spatial data in reading and writing scenarios; S2. Upload the collected data to a cloud server and compare it with preset standard data to calculate a multi-dimensional risk score and determine the overall risk level; S3. Generate a children's visual and spinal health behavioral optical diagnostic report including a measured data table, risk dimension charts, and risk interpretations; S4. Retrieve detailed plans from a pre-set intervention plan knowledge base according to the rectification plan code and output them synchronously; S5. Within a preset period after the intervention, generate a before-and-after comparison report and provide continuous optimization suggestions. This invention achieves seamless integration of assessment and intervention, effectively improving the accuracy, operability, and sustainability of children's reading and writing visual and spinal health management.