82results about How to "Ensure authenticity" patented technology

The invention discloses a children autism risk assessment method and system based on multi-modal collaborative reasoning and a vertical domain large model, and the method comprises the steps: collecting the audio data of a to-be-assessed child and a parent in a parent-child interaction link, and collecting the video data through collection equipment; analyzing and marking the collected audio data, and generating a sounding record and a transcription text with a timestamp; performing real-time analysis and labeling on the collected video data, and generating sight line, expression and action recognition records with timestamps; performing independent analysis on the preprocessed multi-modal data, performing feature fusion and collaborative analysis on the multi-modal data such as audio, text and video by using a multi-modal collaborative reasoning method, and generating a scientific data index for autism risk assessment; training a vertical domain large model special for autism risk assessment; and inputting the generated data indexes into a vertical domain large model, and outputting targeted assessment suggestions by the large model in combination with daily information of the children to be assessed obtained by interviews and conversations with parents.

The invention provides a roof-based subsidence monitoring method for a middle-deep underground mining mine, which comprises the following steps: S1, a deep anchor type anchoring datum point is arranged in a stable rock mass, far away from a mining disturbance area, of a mine roadway or a goaf, and the depth of the deep anchor type anchoring datum point needs to penetrate through a fissure zone and go deep into an original rock stress area; s2, a displacement sensor is installed at the key part of the top plate of the area to be monitored, and the displacement sensor is configured to take the deep anchor type anchoring datum point as a physical zero point; s3, acquiring a distance change original signal of the roof relative to the deep anchor type anchoring datum point through a displacement sensor, and directly acquiring roof subsidence data; and S4, performing signal noise reduction, anomaly detection, nonlinear feature analysis and parameter inversion on the roof subsidence data by using a computer system, and triggering an early warning mechanism when the roof is judged to be in an unstable state or a subsidence parameter exceeds a critical threshold. And an unstable bottom plate is fundamentally abandoned as a measurement basis, and the authenticity and the accuracy of the subsidence data of the top plate are ensured.

The application discloses a kind of based on alliance chain and knowledge graph's basin pollution discharge right management method and system, it is related to environmental protection technical field and information technology field.The management method and system aim to provide a transparent, efficient and intelligent solution for pollution discharge management in the basin by combining the tamper-proof and distributed ledger characteristics of alliance chain and the data correlation and intelligent analysis capabilities of knowledge graph.The present application builds a Hyperledger fabric platform;A set of reward and punishment mechanism algorithm is written using smart contract, and automatic reward and punishment operations are performed according to preset rules;At the same time, the pollution discharge right transaction information is recorded on the chain, and the basin knowledge graph is constructed according to the transaction results and river topology structure;Finally, the environmental data of the basin is analyzed using knowledge graph reasoning technology to assist users in making more scientific and reasonable transaction decisions.

The invention relates to the technical field of pet medical information, and discloses a pet cloud medical record management method and system, and the method comprises the steps: collecting pet health data through a user terminal, and the pet health data comprises video and text description; uploading the video to a video processing module, automatically editing the video through the video processing module, and extracting key segments; the text description and the key segments are integrated, and a structured pet electronic medical record is generated through a medical record generation module; storing the pet electronic medical record to a cloud storage server, and storing the hash value of the pet electronic medical record to a block chain network; and according to a user instruction, safe sharing and multi-terminal synchronization of the pet electronic medical record are realized through the safety control module. According to the method, the problem that the pet cannot know the pain point of the illness state by himself / herself is solved, the behavior performance of the pet can be effectively recorded and traced, the burden of a pet owner for sorting data is relieved, and meanwhile, a more intuitive and complete diagnosis and treatment basis is provided for veterinarians.

The utility model relates to the technical field of automobile controller testing, in particular to a controller hardware-in-the-loop test simulation system, which comprises a tested controller, a hardware-in-the-loop test simulation system and a hardware-in-the-loop test simulation system, the processor is connected with the tested controller; the first board card is connected with the processor; the simulation load, the real load, the second board card and the third board card are connected with the first board card; the upper computer is connected with the processor; a programmable power supply; and the connector is connected with the first board card. Therefore, the problem that hardware-in-the-loop HIL test equipment of an existing controller cannot meet the test requirement of the PCCU of the power chassis integrated controller is solved.

This invention belongs to the field of storage system operation and maintenance technology, specifically relating to a health monitoring method for server storage systems. The method includes: collecting request stream data from a target disk to obtain input / output request rate sequences and input / output latency sequences; dividing time windows and obtaining load resilience characteristics based on the transient increase in input / output latency and the transient decrease in input / output request rate; synchronously collecting the surface temperature of the physical media to obtain temperature fluctuation characteristics, thereby determining the hysteresis degradation index of the target disk; calculating a health score based on the hysteresis degradation index and a benchmark degradation index, and performing early warning and storage scheduling operations. This invention can accurately capture underlying hidden performance degradation, effectively eliminate short-term performance jitter interference, and improve the operational reliability and data security of the storage architecture.

The invention discloses a behavior recognition method and system applied to an electric power data cross-domain scene, and relates to the technical field of electric power data.The behavior recognition method comprises the four steps that firstly, a data source, a service scene, an authority level and a data flow direction serve as cores, and a four-layer cross-domain service semantic map is constructed, receiving new business data in real time, judging whether verification is needed or not, and marking a semantic behavior to be verified; 2, collecting behavior, environment and equipment three-dimensional trusted root data, and fusing and outputting a fusion behavior vector; step 3, performing dual verification of semantic compliance and trusted root matching based on zero trust; and 4, according to the dynamic response of the verification result, the credible behavior is used to execute the label storage associated auditing, the suspicious behavior is dynamically controlled, and the illegal behavior risk is prevented and controlled. According to the scheme, the behavior recognition accuracy is improved, dynamic changes of scenes are adapted, full-period traceability is achieved, safety and efficiency are balanced, and cross-domain data safety is guaranteed.

This application provides a method for identity verification and authentication of generating events of interest from video streams. The identity verification method includes: extracting and preprocessing frames from the input video stream to remove noise interference and enhance the image quality of keyframes; identifying objects of interest in the video stream using a target detection algorithm and extracting their biometric information; matching the extracted features with a preset identity feature database to determine the object's preliminary identity; verifying the preliminary identity by combining it with scene information of the event of interest, and outputting the identity verification result. The authentication method includes receiving the identity verification result and verifying the accuracy of the identity verification through multimodal feature cross-validation, time series consistency checks, etc., to ensure the reliability of identity recognition in events of interest. The method of this application can effectively improve the reliability of identity recognition for events of interest in video streams and is applicable to various scenarios such as sports videos and intelligent transportation.

This invention relates to the field of intelligent monitoring and fault diagnosis technology for power equipment, specifically a cloud-based intelligent diagnostic system for switchgear status. It includes units for multi-source topology mapping, physical constraint embedding, global state reconstruction, residual decoupling diagnosis, and adaptive parameter correction. The system maps sensor data into a dynamic graph structure and generates constraint vectors using physical conservation logic. Its core is to correct the state based on physical constraints to reconstruct the state graph, locate faults by calculating the residual sequence between measured data and the reconstructed graph, and establish feedback closed-loop correction parameters. This invention achieves zero-sample diagnosis without relying on a large number of samples, solving the problem of pure data-driven solutions failing due to a lack of fault samples.

The invention relates to the technical field of data security protection, in particular to a data security protection system applied to a data display terminal, which comprises a security protection center, a data acquisition and processing module, a bidirectional trust verification module, a dynamic trust degree calculation module, a risk root positioning module and a back-end execution module, through a two-way verification mechanism, the defect that traditional one-way verification is prone to being hijacked and counterfeited is overcome, meanwhile, a dynamic trust degree scoring system is constructed based on three core dimensions of hardware health, network security and operation behaviors, quantitative evaluation and grading of the terminal security state are achieved, different trust levels are matched with differentiated protection strategies, and the safety of the terminal is improved. And for a low-trust-level terminal, a full-link data link is constructed, a preset risk feature library and a root identification model are combined, a single root and a composite root are accurately distinguished, the problem that in traditional protection, only warning is conducted, and positioning is difficult is solved, and blind rectification is avoided.

The invention relates to the technical field of mining power distribution device monitoring, in particular to a mechanical characteristic monitoring method and device for a mining combined type high-voltage vacuum power distribution device, and the method comprises the steps: quantifying the motion continuity based on displacement fluctuation and a non-zero displacement number, and calculating the motion stability through combining the speed difference of adjacent moments; analyzing the space-time movement progress difference of the moving contact linkage rod, and determining the action coordination degree of the circuit breaker in each mechanical movement process in combination with the action stability; comparing the difference between the action collaboration degree and the health state and the difference between the action collaboration degree and the adjacent previous time, and determining a collaboration degree offset index; and evaluating the credibility of the mechanical characteristics by combining the collaboration degree difference and the collaboration degree offset index, and correcting the mechanical characteristic parameters according to the credibility. The problem that it is difficult to distinguish the real degradation and working condition interference of the machine is solved, and the accuracy and reliability of mechanical characteristic monitoring are improved by eliminating errors and dynamically correcting data.

The application discloses an unmanned aerial vehicle aerial photograph image enhancement processing method and system, relates to the technical field of image processing, and comprises the following steps: constructing a three-dimensional regional map model of a target aerial photograph region, determining a target aerial photograph route and a target aerial photograph state of an unmanned aerial vehicle device; controlling the unmanned aerial vehicle device to collect images of the target aerial photograph region based on the target aerial photograph route and the target aerial photograph state, and generating initial sub-aerial photograph image data; performing geometric correction processing on the initial sub-aerial photograph image data to obtain first sub-aerial photograph image data; performing denoising processing on the first sub-aerial photograph image data to obtain second sub-aerial photograph image data; performing image enhancement processing on the second sub-aerial photograph image data to obtain target sub-aerial photograph image data; and performing fusion processing on a plurality of target sub-aerial photograph image data to obtain enhanced aerial photograph image data, so that the aerial photograph route and the state of the unmanned aerial vehicle can be optimized, and the aerial photograph image can be corrected, denoised, enhanced and fused, and the quality and the definition of the aerial photograph image are significantly improved.

The invention relates to the technical field of slip form concrete, and discloses a concrete slip form construction anti-cracking method and device, and the method comprises the following steps: S1, carrying out the pre-embedding positioning of a distributed optical fiber sensor in the height direction; s2, in the layered pouring process, the distributed optical fiber sensors are embedded into a newly-poured concrete layer; s3, signals are continued through the distributed optical fiber sensor; s4, the collected Brillouin scattering signals are processed, and strain distribution data are solved; s5, calculating real-time strength in combination with a preset concrete strength-strain relation model; and S6, generating a sliding mode lifting instruction. A closed-loop control logic for generating a lifting instruction is carried out through strain data and real-time strength conversion, a strength-strain correction model established based on site concrete and a mix proportion test block is combined with environment temperature and humidity to dynamically adjust a correction coefficient, full-height concrete real-time strength is accurately calculated, and dynamic balance of construction efficiency and structural safety is achieved. And the slip-form construction quality stability is improved.

The invention discloses an electronic scale control method and device based on image recognition and reverse payment, and a medium, and relates to the technical field of electronic scales. The method comprises the following steps: acquiring an image of an article placed on a scale pan, and obtaining weight data of the article; performing forward reasoning on the article image, extracting image features, and outputting a preliminary identification result of the article and a corresponding confidence coefficient; fusing the preliminary recognition result and the weight data on a feature level to generate an article identifier; in response to a reverse payment instruction initiated by a merchant, a dynamic collection two-dimensional code is rendered and generated on a terminal display screen, and a user is prompted to show a payment code image; a payment code image shown by a user is collected, and the payment code image is analyzed to obtain an encrypted collection account identifier. According to the method, the object type is automatically obtained through image recognition, fusion verification is carried out on the object type and the weighing data, the recognition accuracy and reliability are greatly improved, and a foundation is laid for automatic pricing.

The application discloses a kind of slope displacement monitoring method, equipment and medium based on quantum single photon, belong to displacement monitoring technical field.The application is by emitting rectangular light pulse according to cycle, utilizes single-photon detector to complete echo detection and constructs photon counting time sequence, carries out wavelet denoising and reconstruction processing to it, extracts main peak position shift, energy change and form distortion matches multi-class feature vector, then carries out feature fusion and solution by multi-source feature fusion BP neural network, finally outputs high-precision slope displacement result.The application combines quantum single-photon detection technology with wavelet denoising, neural network fusion algorithm, effectively suppresses noise interference, improves displacement feature extraction accuracy, and is suitable for high-precision, long-distance real-time monitoring of slope micro-deformation.

This application provides a method, equipment, medium, and product for testing power line signals, relating to the field of signal processing technology. The method includes: dividing the power frequency cycle into N test time cycles using a voltage zero-crossing detection unit and generating corresponding N wideband test data packets; sequentially sending the wideband test data packets within M consecutive power frequency cycles to obtain M test signals, which are then collected to form N sub-signal sets; calculating the fluctuation variance of each sub-signal set and generating a confidence coefficient; synthesizing N reference sub-signals and dividing them into high-confidence sub-signals and sub-signals to be repaired based on the confidence coefficients; reconstructing and repairing the sub-signals to be repaired using the channel response characteristics of the high-confidence sub-signals to generate repaired sub-signals; and finally concatenating the high-confidence sub-signals and repaired sub-signals in time sequence to obtain the final test signal. This solution solves the technical problem of how to obtain high-precision power line test signals throughout the entire power frequency cycle.

The invention relates to the technical field of computer information processing, in particular to a merchant network access processing method and device and computer equipment. The method comprises the following steps: acquiring network access application data and biological characteristic data of a to-be-accessed merchant; generating a network access electronic document based on the network access application data and a preset standard template; performing identity verification on the to-be-networked merchant based on the biological characteristic data; if the identity authentication of the to-be-networked merchant is passed, performing digital signature on the networked electronic document to obtain a signature document; and determining a network access application result of the merchant to access the network based on the signature document. According to the application, the identity of the signature customer can be verified in the network access process of the merchant, the difficulty of arranging, filing and keeping the network access paper materials of the merchant is reduced, and the network access operation process of the merchant is simplified at the same time.

The invention discloses a geophysical prospecting, surveying and mapping collaborative inspection method and system for safety-related geological defects of a subway structure, and particularly relates to the technical field of subway engineering safety detection, and the method comprises the five steps of early-stage preprocessing and detection area division, multi-source collaborative detection, detection data fusion and mapping, collaborative inspection, and dynamic updating and operation and maintenance adaptation. Gravity exploration is taken as a core, multiple detection means are fused, the weight of gravity data is enhanced in combination with an improved BP neural network model, the result is ensured to be reliable through a triple inspection mechanism, and a whole-process closed-loop process is constructed; the system comprises a main control module and five functional modules, and is accurately matched with the steps of the method, so that integrated cooperative operation is realized. The method improves the detection precision of geological defects and earthquake susceptible structures, reduces the manual error and operation and maintenance cost, is suitable for the full-stage application of a subway, provides precise data support for the safety prevention and control of a subway structure, and is remarkable in practicability and application value.

A comparison type double-channel counting device for ampoule bottles comprises a bottle conveying star disc, the bottle conveying star disc is provided with a plurality of tooth grooves, a trigger disc coaxial with the bottle conveying star disc is arranged above the bottle conveying star disc, a plurality of convex teeth with the same number as the tooth grooves are arranged on the periphery of the trigger disc, the convex teeth correspond to the tooth grooves one to one, and the convex teeth are arranged on the periphery of the trigger disc. A proximity switch used for detecting the protruding teeth is arranged above the trigger disc, and a bottle detecting device used for detecting and conveying ampoule bottles is arranged on one side of the bottle conveying star disc. The proximity switch and the bottle measuring device are connected with the input end of the PLC, and the output end of the PLC is connected with a display screen. The ampoule bottle counting device can count ampoule bottles on line, improves the accuracy of product counting, and solves the problem of calculation of material balance.

The invention relates to the technical field of medical diagnosis assistance, and discloses an intelligent medical diagnosis assistance method and system based on a lung function determinator, and the method comprises the following steps: obtaining multi-source data, and carrying out the timestamp synchronous correction processing of the data; judging a physiological stable state, and setting / judging a dynamic stable interval set; carrying out trend analysis judgment and instrument cumulative performance deviation judgment; instrument offset judgment and compensation are carried out, offset is calculated, and data are corrected; and generating a reference model reflecting the respiratory function of the patient according to the compensated lung function data. Through multi-device data fusion and an intelligent compensation algorithm, the accuracy of lung function evaluation is improved, illness state true changes and instrument errors can be effectively discriminated, and doctors are helped to more accurately evaluate disease progression and treatment effects.

The invention relates to the field of agricultural credit approval, and discloses an agricultural production process data generation method, which comprises the steps of receiving credit application data of a target farmer through a farmer terminal; querying a user file according to the peasant household attribute information to obtain a peasant household integrity score, a planting type, an Internet of Things crop monitoring equipment identifier and a key evidence chain storage file; if the integrity score does not meet the preset condition, verifying the authenticity of the asset ownership proof file through the key evidence chain storage file; after the authenticity verification is passed, acquiring corresponding agricultural production process data according to the planting type, forming agricultural production process display data, pushing the agricultural production process display data to an intelligent terminal for visual presentation, initiating interactive inquiry, and acquiring supplementary description information of the farmer; and receiving the supplementary description information and carrying out associative storage on the supplementary description information and agricultural production process data to generate an agricultural production process data evidence material. Therefore, the authenticity, the integrity and the verifiability of the data are improved.

The invention discloses an information processing method of a content distribution network and a program product. The method comprises the steps that resource registration information of a resource registration party is received through a resource opening node, the resource registration information is stored in a block chain network, and the resource registration information is used for indicating network resource information which can be used by a content distribution network and the resource registration party of the network resource information; a content access request is received through the content distribution network, resource scheduling is performed through the content distribution network and the resource registration information, a content distribution operation corresponding to the content access request is executed based on the resource registration information, and resource scheduling information corresponding to the content distribution operation is stored in a block chain network; and calling an intelligent contract of the block chain network, and determining resource feedback information of the network resource information according to the resource registration information and the resource scheduling information. According to the technical scheme, more efficient, transparent and secure content distribution service can be provided, and the user experience is remarkably improved.

The invention provides an active sampling and constrained reinforcement learning edge collaboration method, and relates to the field of data processing. Modeling and sparse coding are carried out through sampling and event data collected by edge computing nodes, compressed coding data are generated, and transmission is optimized through a self-adaptive data flow scheduling algorithm. And verifying the authenticity of the data by utilizing a generative adversarial network, and optimizing an equipment scheduling scheme by adopting reinforcement learning according to a verification result. And summarizing the local models of the edge nodes through federal learning to generate a global model, and protecting data privacy by applying a differential privacy technology. And finally, based on the privacy protection model, in combination with meta-learning and online convex optimization technologies, executing an equipment scheduling scheme, generating an edge collaboration strategy, and optimizing carbon emission control and energy utilization efficiency of the green park. By implementing the technical scheme, the equipment can cooperate with each other through an intelligent technology, and the operation strategy is dynamically adjusted, so that the overall efficiency of the park system is improved.

The invention discloses a medical image classification method based on curriculum-type enhancement scheduling and hybrid enhancement. The method comprises the following steps: S100, constructing a curriculum-type data enhancement mechanism; s200, performing a staged hybrid enhancement strategy; s300, carrying out multi-stage model training and optimization; and S400, carrying out model interpretability output generation. According to the method, the stability and generalization performance of the model in the multi-stage training process are improved, the interpretability of a model output result is enhanced, and reliable technical support is provided for a clinical auxiliary diagnosis system.

The present application relates to the field of biological sample collection device, in particular to a biological sample collection information tracing device, comprising: a tube body for storing biological samples; a sealing tube cover detachably installed at the opening of the tube body; a trigger component arranged between the tube body and the sealing tube cover; a clock chip cooperating with the trigger component to determine the opening time of the sealing tube cover; a memory for storing the opening time detected by the trigger component; a near field communication module for transmitting the opening time stored in the memory to a reading device; a microcontroller for processing the state of the trigger component to determine whether the sealing tube cover is opened and transmitting the information of the opening time to the memory; a circuit board for connecting the trigger component, the clock chip, the memory, the near field communication module and the microcontroller. The present application realizes the digitization and objective tracing state of the biological sample as soon as it is collected from the outside.

The utility model relates to a modular monitoring equipment with temperature and humidity and smoke alarm function, including installation base, casing frame and monitoring module, the installation base is circular structure, and the even installation seat is installed on the installation base, and the casing frame is fixedly installed in the installation base lower extreme, and the casing frame inside is installed with monitoring module, and the monitoring module is used for monitoring temperature and humidity and smoke, the utility model discloses the modular layout of main control circuit, temperature and humidity sensor, smoke sensor, combines the design of special heat conduction hole and heat conduction sheet, establishes independent efficient radiating path for the electronic component of heating, and the circuit heat source is isolated with temperature sensor, effectively avoids the'heat pollution'problem caused by the equipment own work heat, ensures the authenticity and accuracy of temperature monitoring result.

The application relates to the technical field of image communication, in particular to a video slow-motion frame insertion playback system based on a generative adversarial network, which comprises a video signal acquisition module, a signal processing module, a frame rate conversion module and a playback encoding output module. The acquisition module outputs an original video frame sequence through a ring buffer; the processing module parallelly separates a detail component after denoising and an edge gradient feature; the frame rate conversion module uses a geometric structure as a boundary locking condition, guides the detail component to execute nonlinear motion compensation and intermediate frame reconstruction; and the playback module executes time base remapping and distributed encoding transmission. Through a structure constraint texture depth generation architecture, in combination with a space-time consistency check and a nearest neighbor pixel backfilling mechanism and a virtual time base rate decoupling technology, the application realizes real-time slow-motion video review for high-speed moving targets with high signal-to-noise ratio and no artifacts.

The invention relates to the technical field of computer data processing and natural language processing, in particular to a case clue identification and analysis system, which comprises a data access and positioning module for calling a preset multi-source map service interface to concurrently analyze a network address, and determining a target position through voting arbitration; the cascade semantic analysis module is used for identifying attributes by utilizing coarse granularity of a first-level classification model, and routing to a vertical expert agent to generate a fine-granularity label; the element feature extraction module is used for eliminating interference digital features and then generating standard amount features, and analyzing intention intensity of the user; the value quantification and pricing module is used for mapping the heterogeneous features into multi-dimensional scores based on a tree-shaped weight system, and generating clue commercial value scores and pricing results; according to the invention, the problem of value evaluation caused by information non-standardization in a compliance consultation scene is solved.

The invention discloses a poultry egg damage positioning and detecting method for a poultry egg production line. Comprising the following steps that firstly, impact is applied to different positions of a bionic egg, corresponding three-axis acceleration data are collected, meanwhile, environment temperature and bionic egg temperature data are recorded, and then a bionic egg state database is established; the bionic eggs are put into an egg production line, and clock synchronization of the bionic eggs and a production line control system is established; then three-axis acceleration data and bionic egg temperature data of the bionic eggs in the egg production line are collected in real time, and positioning and detection of egg damage are carried out in combination with the bionic egg state database. The bionic egg has the advantages of being high in simulation degree, simple in structure, complete in function, stable in performance and the like, real poultry egg movement is simulated on a production line through the bionic egg, corresponding data are obtained, therefore, the damage occurrence situation is efficiently and visually detected, and economic losses caused by damage of poultry eggs in the production line are greatly reduced.

The application relates to the field of MEMS sensors and discloses a factory calibration method for humidity drift of a MEMS sensor in outdoor cold-state measurement, which comprises the following steps: S1, high-humidity environment construction and natural attenuation, and S2, dynamic data synchronous acquisition.In the application, a calibration environment without vibration interference and with natural humidity change is constructed, so that the technical problem of a traditional constant-humidity box calibration method is fundamentally solved, the coupling interference of equipment vibration such as a fan and a compressor on the output signal of the MEMS sensor is completely eliminated, the purity and authenticity of the drift data are ensured, the calibration coefficient can accurately reflect the physical correlation between humidity and the sensor output, and secondly, the natural attenuation process of humidity simulates natural scenes such as day-night cycles and weather changes experienced by the sensor in actual outdoor application, and there is an essential difference between the continuously changing humidity path and the constant-humidity box step-by-step stable control, so that the humidity drift coefficient calibrated has stronger generalization ability and compensation applicability in actual working conditions.