13 results about "Inspection time" patented technology

The application relates to the technical field of patrol path optimization, and discloses an intelligent recommendation system for an external stand pipe inspection path, which comprises the following: an inspection unit records facade positions, center heights and inspection operation modes; an evaluation unit performs risk assessment on each inspection unit according to historical defect information, stand pipe types and environmental exposure conditions, obtains an inspection unit risk level, and forms an inspection unit time window constraint; a processing unit constructs an inspection service graph; a recommendation unit determines a to-be-inspected unit, generates a candidate inspection path on the inspection service graph, combines the candidate inspection paths into multiple inspection task packages, performs resource scheduling in combination with skill information and available time information of an inspection team, and obtains an inspection path recommendation result corresponding to each inspection team. The application reduces the overall inspection time and the number of high-cost inspection operation mode switching times, and improves the external stand pipe inspection safety and operation and maintenance management efficiency.

This invention relates to the field of inspection management technology and discloses an intelligent inspection management method and system based on cloud-edge collaboration. The method includes: acquiring inspection task work orders to be executed; acquiring the path length and number of inspection points for each inspection segment in the inspection task work order; analyzing the path length and number of inspection points to obtain the time quota for each inspection segment; obtaining differentiated time quotas by analyzing the path length and number of inspection points for each inspection segment; generating a task delay risk coefficient by combining real-time basic data and inspection point status; collaboratively calculating additional time requirements when an inspection point is abnormal; and evaluating the buffer capacity of the remaining work period to obtain an inspection management adaptation value. This solution can intelligently and flexibly adjust the inspection time during the inspection process to avoid insufficient inspection and effectively prevent excessive extension from impacting the overall inspection task. It achieves dynamic optimization of inspection path time and ensures the management effect of cloud-edge collaborative intelligent inspection.

The application discloses a kind of equipment and method for functional valve seal assembly quality visual inspection.It includes monocular color industrial camera, plane diffuse light source, camera light source fixing plate, two kinds of workpiece positioning devices and other accessories.Monocular color industrial camera can provide good illumination environment for monocular color industrial camera image acquisition;In addition, by being designed with two kinds of workpiece positioning devices in the application, the same equipment can simultaneously meet the inspection needs of large quantities of functional valve seals and adapt to new models of functional valve seals, realize the automatic acquisition, analysis and determination of quality information of seal rubber ring and protective ring as detection feature points, solve the problem of misloading and missing loading, greatly reduce the limitation that traditional manual inspection can only check one sleeve shaft rubber ring at a time, shorten the inspection time and retain product quality certificate function, effectively improve the detection quality and efficiency of sleeve shaft rubber ring assembly.

This specification provides an automated store inspection method, model training method, and related equipment. The automated store inspection method includes: acquiring information associated with the inspection task, including the store identifier, inspection items, and inspection time period of the store to be inspected; acquiring image frames of the store to be inspected; acquiring inspection rule text corresponding to the inspection items, including the pass / fail criteria and judgment basis for each inspection item, the judgment basis describing the scene features, object features, and / or behavioral features related to the inspection item; calling a multimodal inspection model to perform pass / fail checks on the image frames based on the inspection rule text, and outputting single-frame inspection results; the multimodal inspection model is obtained by fine-tuning a general multimodal model using training samples from the domain of the store to be inspected; and summarizing the single-frame inspection results corresponding to all image frames within the inspection time period to determine the inspection result of the store to be inspected.

A device of checking lineage of data with a large language model to locate abnormalities and a corresponding method are disclosed. A large language model is used to parse an abnormality location request in natural language to obtain field information of target data occurring abnormality. Lineage data of the target data is obtained based on the field information to generate discrepancy information indicating upstream data and / or service where the abnormality has occurred, and the large language model outputs an abnormality locating result including the discrepancy information in natural language, thereby reducing complexity of inspection process, professional needs of personnel, and inspection time, and achieving the technical effect of improving inspection efficiency and accuracy and user satisfaction.

The application provides a power transmission line inspection path planning method and system based on multi-source data fusion, and the application constructs a tower corresponding track feature data set by mining the correlation among tower latitude and longitude, vehicle track, walking track and road network data. On this basis, three optimization algorithms are used to plan the optimal inspection path when a single person works on a single line, the optimal inspection path when multiple people work is planned based on a k-means clustering algorithm, and a new group inspection mode of spatially related towers is proposed by dividing the inspection area into communities. The application establishes a line inspection path planning model from different levels and different dimensions, provides strong support for power transmission line inspection path planning, inspection work plan development and vehicle management, realizes the rationalization and intelligentization of power transmission line inspection multi-level work, and achieves the purpose of shortening the inspection time and improving the inspection efficiency.

The application discloses a photovoltaic inverter IGBT module linkage defect early warning and inspection triggering method and device, the method comprising: synchronously collecting temperature field data and electrical parameters on the surface of a photovoltaic inverter IGBT module; after preprocessing the collected data, key features are extracted, the correlation degree index of temperature and electrical parameters is obtained, and the index is input into a pre-trained deep neural network model to obtain a defect probability evaluation result and a defect type; the target early warning level is determined according to the defect probability evaluation result and the defect type; in the case that the target early warning level meets preset conditions, an inspection task work order is generated; based on weather conditions, equipment operating states, inspection resources and the inspection task work order, an inspection time window and a path are planned, and an inspection instruction is generated, the inspection instruction is sent to a power station inspection system to schedule a drone or an inspection personnel to perform inspection, early fault features of the IGBT module can be captured in time, and fault misjudgment or misjudgment is avoided.

A method for a component of a gas turbine engine includes obtaining images of the component for a plurality of sequential inspection time periods, at least a portion of the images depicting degradation of the component. A first machine learning model (MLM) includes an input layer, an output layer, and a latent space therebetween. The latent space includes a plurality of clusters of nodes corresponding to respective image features. The method includes, for a plurality of the inspection time periods, utilizing the first MLM to determine which one or more of the clusters of the latent space the image most closely aligns with. The method also includes, for a plurality of the inspection time periods, utilizing a second MLM, which is a different type of MLM than the first MLM, to predict, based on the latent space of the first MLM, a degradation of the component that will occur prior to a subsequent one of the inspection time periods. The method includes determining a difference between the prediction and the image of the component from said subsequent one of the inspection time periods, and providing a notification to a user based on the difference. A system for analyzing degradation of a component of a gas turbine engine is also disclosed.

A smart, human-centered technique that uses artificial intelligence and mixed reality to accelerate essential tasks of the inspectors such as defect measurement, condition assessment and data processing. For example, a bridge inspector can analyze some remote cracks located on a concrete pier, estimate their dimensional properties and perform condition assessment in real-time. The inspector can intervene in any step of the analysis / assessment and correct the operations of the artificial intelligence. Thereby, the inspector and the artificial intelligence will collaborate / communicate for improved visual inspection. This collective intelligence framework can be integrated in a mixed reality supported see-through headset or a hand-held device with the availability of sufficient hardware and sensors. Consequently, the methods reduce the inspection time and associated labor costs while ensuring reliable and objective infrastructure evaluation. Such methods offer contributions to infrastructure inspection, maintenance, management practice, and safety for the inspection personnel.

The application relates to a kind of whole life cycle management and control system of measurement assets based on Beidou positioning and ID, and relates to the technical field of electric power measurement asset management.In order to overcome the defects of the existing measurement assets lacking positioning means, low efficiency of manual inspection, asset loss and management confusion, real-time acquisition of multi-dimensional physical information of measurement assets, spatio-temporal fusion analysis, identification of dynamic behavior characteristics of assets, filtering of false alarms caused by environmental interference, triggering of multiple alarm mechanisms for real abnormal events, recording of whole process information of assets from factory to scrap, receiving and integrating data from each unit, generating panoramic view of assets, early warning of potential fault risk, optimizing the execution path of inspection task, dynamically adjusting the inspection path according to the priority of the real-time received alarm event, personnel position and road condition information, and minimizing the total inspection time.The application is mainly used for whole life cycle management and control of measurement assets.

This substrate inspection device is disposed on the downstream side in the conveyance direction of a substrate with respect to a work device that performs work for producing a mounting substrate, and comprises: a management unit; a measurement unit; and an inspection processing unit. The management unit generates inspection data in which an inspection site, an inspection condition, and an inspection item are set, and manages inspection of the mounting substrate performed on the basis of the inspection data. The measurement unit refers to the inspection site and the inspection condition in the inspection data, captures an image of the mounting substrate in accordance with the inspection condition while moving the imaging field of view in accordance with the position of the inspection site, and acquires shape data of the inspection site on the basis of the image. The inspection processing unit refers to the inspection site and the inspection item in the inspection data, and inspects the inspection site for the inspection item on the basis of the shape data acquired by the measurement unit. The management unit outputs inspection proposal information related to the settings of the inspection site, the inspection condition, and the inspection item in the inspection data on the basis of comparison between the inspection time and the work time.

This invention relates to the field of task allocation and execution technology, specifically disclosing a method and system for the dynamic allocation and execution of laboratory safety inspection tasks, including the following steps: Step S1: By analyzing historical data, the usage patterns of each inspection area and the operational experience of laboratory personnel are quantified into feature vectors, and the matching value between the two is calculated to assess the professional suitability; Step S2: Based on historical inspection time data, the standardized load value of each area is calculated; Step S3: A bi-objective optimization model is constructed to simultaneously minimize the variance of the task load of all personnel and maximize the total matching value of task allocation, and by solving the model, the optimal inspection personnel are dynamically allocated to each inspection area.

This invention relates to the field of machine vision technology, specifically to a valve sealing surface inspection method and system based on computer vision. The method includes: determining whether the valve sealing surface image is qualified by identifying the normal area within the image; classifying defective areas outside the normal area into historical scratch images and historical hole images; outputting the classification result of the actual valve sealing surface image based on the historical scratch and hole images; determining whether the valve processing equipment experiences periodic failures based on the valve's production time; if periodic failures occur, performing interval analysis on the valve's production time to determine the optimal inspection time. This invention adjusts the inspection time promptly according to the different defect conditions of the valves produced by the equipment, and performs advance maintenance on the valve production equipment based on the inspection time during valve production.