33 results about "Inspection time" patented technology

Disclosed is an IoT system for smart gas inspection supervision and distribution, comprising: a public user platform, a citizen cloud service platform, a government gas supervision management platform, a government gas supervision sensor network platform, a government gas supervision object platform, a gas company sensor network platform, and a gas equipment object platform. The government gas supervision management platform is configured to obtain an inspection route; determine a plurality of inspection sub-routes; generate a calling instruction; generate an acquisition instruction and send the acquisition instruction to the gas equipment object platform; determine an inspection type parameter of the inspection sub-routes; divide the inspection sub-routes into three categories of objects to be inspected, and determine candidate assignment parameters of the three categories of objects to be inspected; determine predicted inspection time; determine an inspection assignment parameter; generate an inspection instruction and send the inspection instruction to the gas equipment object platform.

The embodiment of the invention provides a tower cylinder bolt abnormity identification method and device. The method comprises the steps that an image acquisition device arranged on a tower cylinder inspection robot is used for acquiring a front image and a side image of each tower cylinder bolt; performing preprocessing operation on the front image and the side image to obtain a front image block corresponding to the front image and a side image block corresponding to the side image; performing abnormal region identification on the front image block and thread feature identification on the side image block respectively, and outputting identification results including an abnormal type, a quantization parameter and confidence respectively; performing grading processing on the recognition result according to the confidence coefficient in the recognition result, and outputting a judgment result; and the judgment result, the bolt ID and the inspection time are stored in an associated mode, and alarm information is output according to the judgment result and pushed to a manager terminal device. According to the invention, the safety and the detection efficiency of tower bolt inspection can be improved.

This invention discloses a material inspection and monitoring method and device based on UWB positioning and multi-view linkage. The method includes: acquiring the sample number of the target material, wherein the target material is equipped with a UWB tag, and the UWB tag and the sample number correspond one-to-one; collecting the inspection time of the target material entering each inspection area according to the UWB tag, and constructing a time-location correlation matrix; and combining the time-location correlation matrix with a preset multi-view relationship model with the inspection area to form multi-view monitoring content, thereby completing the monitoring of the target material inspection process. By constructing a time-location correlation matrix and piecing together multi-view monitoring content, the monitoring of the target material inspection process is completed, providing a basis for rapid and accurate traceability of the target material inspection process afterward, while improving the level of material quality supervision and control, promoting quality inspection efficiency and effectiveness, and realizing full-process tracking and monitoring of the material inspection process.

The invention discloses a transformer substation and converter station equipment intelligent inspection method and system and terminal equipment, and belongs to the technical field of power system operation management. According to the method, equipment information of power transmission, power transformation and power distribution links is integrated by constructing a power transmission, power transformation and power distribution combined inspection model, and an intelligent terminal cluster is cooperatively scheduled to execute a cross-link combined inspection task; collecting visible light images, infrared thermal imaging data and operation state data of the equipment according to preset point positions, performing deep learning on the collected data, automatically identifying abnormal conditions including equipment appearance damage, meter reading deviation, internal and external heating and discharging of the equipment and foreign matter invasion, and obtaining inspection data; statistical analysis is carried out on the inspection data, a visual report containing inspection time, equipment states and defect information is generated, and historical data tracing and multi-source data association analysis are supported. Automatic and efficient inspection and intelligent identification analysis of the equipment are realized, the inspection efficiency and accuracy are improved, and the method is suitable for operation and maintenance management of large-scale complex power grid equipment.

The invention discloses a knowledge recheck method, equipment, a storage medium and a device. Task execution parameters are configured based on an inspection mode corresponding to a knowledge reinspection task; calling a target inspection tool to execute inspection based on slice information and task execution parameters in a preset knowledge base, and obtaining an execution record; and performing problem positioning and slice tracing on the execution records to obtain knowledge optimization suggestions. Compared with the situation that real-time synchronization of knowledge and a valid system cannot be guaranteed through manual auditing, and the auditing efficiency is low, the method calls an inspection tool to execute inspection through slicing information and task execution parameters configured in a user-defined mode to achieve modular extraction and slicing of self-adaptive structured knowledge content, the data integrity is greatly improved, and the efficiency of the self-adaptive structured knowledge is improved. The inspection time is greatly shortened, and the inspection efficiency is improved.

The invention discloses an inspection control method based on a robot with a body and a related device. The method comprises the following steps: determining inspection boundaries of an open area and a non-open area; performing path planning on the plurality of inspection points in the to-be-inspected area according to the inspection boundary to obtain navigation information; if the robot with the body detects a first obstacle when moving according to the navigation information, executing a passing skill operation corresponding to an entering mode of the first obstacle in a skill library; determining the maintenance time of the passing state according to the leaving mode of the first obstacle and the inspection time demand; when it is detected that the robot with the body arrives at the target inspection point, activating a carried inspection device for inspection based on the inspection index of the target inspection point to obtain a first inspection result; performing visual analysis on the obtained inspection object image in the target inspection point to obtain a second inspection result; and generating an inspection report according to the first inspection result and the second inspection result. According to the invention, the inspection efficiency and the intelligent level of inspection are improved.

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.

The utility model relates to driving plate type safety inspection equipment, which comprises a dial plate and a pointer, a pointer is arranged on the front surface of the dial plate, the first end of the pointer is rotationally connected with the center of the dial plate, and the other end of the pointer points to the patrol time period marking devices; according to the utility model, patrolling and patrolling time standard recording can be realized visually.

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 utility model relates to the technical field of contact chip detection, in particular to an automatic contact chip detection device which comprises a first conveying mechanism, a second conveying mechanism, a defective product box, a discharging station, a positioning mechanism, a first detection mechanism, a second detection mechanism and a carrying mechanism. According to the automatic detection device for the contact piece, the product containing the contact piece is placed on the placing seat at the discharging station, the positioning mechanism positions and shapes the contact piece of the product on the placing seat, and the first detection mechanism detects the appearance of the top surface of the contact piece of the product on the placing seat. The second detection mechanism detects the appearance of the side face of the product contact piece on the placement seat, and when the two times of detection are qualified, the carrying mechanism carries the product on the placement seat to the head end of the second conveying mechanism and conveys the product to the next procedure; when at least one time of detection is unqualified, the carrying mechanism carries the product on the placing seat to the defective product box, the detection speed is high, the detection time can be reduced to 8s, the reject ratio does not exist, and the use is convenient.

This invention relates to the field of pharmaceutical testing technology, and in particular to a device for detecting defects in the appearance of pharmaceuticals in all directions. The device includes a feeding mechanism, an end-face acquisition mechanism, a first rejection mechanism, a side-face acquisition mechanism, and a second rejection mechanism arranged sequentially along the conveying direction of the material to be inspected. The feeding mechanism conveys the material to be inspected to the end-face acquisition mechanism, which acquires the end face of the material and sends it to the first rejection mechanism. The side-face acquisition mechanism acquires the side face of the material and sends it to the second rejection mechanism. This invention automatically realizes feeding and material inspection, completely detecting the end face and side face information of the material to be inspected, without delaying the inspection time, improving the quality of material inspection, and increasing production efficiency.

This invention provides a method, system, storage medium, and device for generating power line inspection work orders. The method includes: calculating the total inspection time for each power line to be inspected based on its line information; calculating the available time for each inspection team based on their work information; sorting all inspection teams in ascending order of their available time and generating a team ranking table; and allocating power lines to be inspected to all inspection teams according to the total inspection time for each power line to be inspected and the available time for each inspection team, based on a preset allocation rule and in the order of the team ranking table, to generate corresponding work orders. By allocating work orders to inspection teams in ascending order of available time, teams with shorter available time can be prioritized for finding matching power lines to be inspected, thus minimizing the occurrence of no work orders being generated for teams with shorter available time.

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.

The invention relates to the technical field of new energy operation and maintenance optimization, and discloses an optimization system for new energy intelligent operation and maintenance, and the system comprises a monitoring module which is used for monitoring the feature data of new energy equipment in real time, constructing and analyzing a feature data time sequence, and obtaining an operation and maintenance coefficient; the operation and maintenance module is used for judging whether operation and maintenance are carried out or not according to the operation and maintenance coefficient, if yes, a to-be-operated and to-be-operated and to-be-operated and to-be-operated and to-be-operated and to-be-operated and to-be-operated and to-be-operated and to-be-operated and to-be-operated and to-be The inspection module is used for setting an inspection time period, calculating an operation and maintenance optimization coefficient in the inspection time period, judging whether operation and maintenance optimization is carried out or not according to the operation and maintenance optimization coefficient, and if yes, determining an operation and maintenance optimization factor; and the optimization module is used for determining an optimization strategy according to the operation and maintenance optimization factor, generating a second operation and maintenance strategy according to the optimization strategy, and replacing an operation and maintenance instruction under the first operation and maintenance strategy, so that the operation and maintenance efficiency and the operation and maintenance optimization efficiency are improved while the accuracy of equipment state judgment and the operation and maintenance timeliness are improved.

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.

The invention discloses a method for automatically optimizing feedback according to an inspection time sequence path. The method comprises the following steps: automatically calling an inspection time sequence path script when a layout wiring process is finished; the step of checking the time sequence path script comprises the steps of obtaining the logic depth of a time sequence path; splitting the logic depth to obtain a buffer and inverter level and a register transfer level (RTL) level; locating a time sequence problem source based on the logic depth, a buffer and inverter level and a register transfer level (RTL) level; performing hierarchical optimization based on different time sequence problems; and based on a hierarchical optimization result, embedding the optimization result into a next stage of layout and wiring process to realize a closed loop. According to the method for automatically optimizing the feedback according to the check time sequence path, the logic depth is divided into the buffer and inverter level and the RTL level, the source of the time sequence problem is accurately positioned, the feedback is automatically optimized, and therefore the time sequence convergence efficiency is improved, and the chip design complexity is reduced.

The application discloses a kind of electric power intelligent inspection method and system, and the application relates to electric power inspection technical field, lack of scientific system when planning inspection path, it is prone to lead to unreasonable inspection route, increase the technical problem of inspection time and cost, the abnormal value of equipment of the equipment of the present application is calculated by detailed analysis to the fault record in historical inspection data, and risk equipment and normal equipment are classified according to preset comparison value, based on the method of data-driven, potential risk equipment can be more accurately identified, which helps to take maintenance measures in advance, considering the distribution of inspection starting point, end point and risk equipment, the shortest inspection path is determined first, then the risk equipment not on the target path is inserted and analyzed, the path optimization order is reasonably arranged according to the number of risk equipment on both sides of the route point, which can reduce the total length of the inspection path, improve the inspection efficiency, and ensure that risk equipment can be timely 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 invention relates to the technical field of patrol path optimization, and discloses an outer riser patrol path intelligent recommendation system, which comprises a patrol unit for recording a facade position, a center height and a patrol operation mode; the evaluation unit performs risk evaluation on each inspection unit according to historical defect information, riser types and environmental exposure conditions to obtain an inspection unit risk level and form an inspection unit time window constraint; the processing unit constructs an inspection business graph; and the recommendation unit determines the unit to be inspected, generates candidate inspection paths on the inspection service graph, combines the candidate inspection paths into a plurality of inspection task packets, and performs resource scheduling in combination with skill information and available time information of the inspection teams to obtain an inspection path recommendation result corresponding to each inspection team. According to the invention, the total inspection time and the switching frequency of high-cost inspection operation modes are reduced, and the inspection safety and the operation and maintenance management efficiency of the outer riser are improved.

An inspection device and an inspection method can accurately inspect whether a gap of a control cable of an elevator is ensured. The inspection device is provided with: an acquisition unit that acquires, from a camera provided inside a hoistway, an image captured by the camera when a car stops at an inspection position, the image reflecting a portion of a moving portion of a control cable including a fold-back portion; and an inspection unit that determines, on the basis of the image, whether or not a gap, which is the distance between the folded-back section and the bottom of the hoistway when the car is stopped at the inspection position, is secured. The acquisition unit acquires, from the camera, a first image captured at a reference time point at which the gap is secured and a second image captured at an inspection time point, and the inspection unit compares the first image and the second image, thereby determining whether the gap is secured at the inspection time point.

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.

This invention discloses a deep learning-based method for detecting transformer substation components, overcoming the problems of high cost and time-consuming manual measurement in existing technologies. The method includes: S1, collecting image data of standard transformer substations in multiple regions at various distances, angles, and orientations; S2, labeling the collected samples; S3, inputting the adjusted samples into a transformer substation component detection model for model training and image preprocessing; and S4, performing model inference. This invention can complete the quality judgment of transformer substation components during inspections by processing and calculating images, and determine whether the substation installation is standardized based on the results. This shortens inspection time and enables the measurement of quantitative indicators of transformer substation components. Sample collection is performed using a binocular camera, which standardizes the measurement of component installation distances and facilitates further processing of the image data.

The invention relates to a power transmission operation inspection monitoring method and system based on GIS panoramic modeling, and the method comprises the steps: controlling an unmanned plane to fly along an inspection route, collecting cable images at a plurality of shooting angles at each inspection waypoint, and collecting a current temperature value and a current ultraviolet image, thereby achieving the coverage of a larger shooting range at one inspection waypoint. In addition, a GIS panoramic model is constructed in advance, and the panoramic image of each inspection waypoint is constructed, so that the reference image corresponding to each target shooting angle is extracted from the panoramic image. And the reference image is matched with the current inspection image, the temperature is identified, so that the target line is preliminarily detected, and if a problem exists, the identification model is called to identify an abnormal type. According to the invention, the number of routing inspection waypoints can be effectively reduced, and the routing inspection time is shortened through preliminary routing inspection. The inspection efficiency of the unmanned aerial vehicle is greatly improved.

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 invention discloses a method and system for identifying track risks based on big data analysis. The invention uses the YOLO model and SVM classifier to detect the track, extracts the multi-scale features of the track image, and can quickly and effectively detect the deformation and damage positions in the track. Based on the detection results, the RF model and BP neural network are used to further analyze the fault points of the track, and the output of each model is combined to accurately determine the fault points in the track, thereby reducing the misjudgment and omission of the fault points and providing effective support for subsequent inspection path planning. According to the fault points, the inspection path is formulated in combination with the greedy algorithm and the ant algorithm, which can effectively reduce inspection time, improve efficiency and safety of the train operation, and assist in train operation management.

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.