19 results about "Adaptive equipment" patented technology

The invention discloses an electromechanical equipment health assessment and early warning method based on multi-mode dynamic perception, and belongs to the field of intelligent operation and maintenance of electromechanical equipment. The problems that in the prior art, a single physical quantity cannot comprehensively reflect the equipment state and a traditional signal processing algorithm cannot adapt to the equipment degradation mode change are solved, a panoramic sensing system covering multiple physical fields such as vibration, temperature and noise is constructed through a multi-mode sensor network and a dynamic weight fusion algorithm, and the multi-physical-field multi-physical-field panoramic sensing method is applied to the multi-physical-field multi-physical-field panoramic sensing system. The problem of isolated island of traditional single-dimensional monitoring information is solved; through a physical-depth mixed feature extraction architecture, combining interpretable engineering features with abstract features extracted by a deep neural network to form a health assessment model with mechanism transparency and mode generalization ability; through deep integration of the digital twin platform and the RPA technology, the manual inspection frequency and workload are reduced, the fault recognition accuracy is promoted to increase year by year, and continuously optimized intelligent operation and maintenance ecology is formed.

The invention discloses a simplified model construction method. The method comprises the steps of obtaining point cloud data of related substation equipment; constructing a simplified model in a cuboid form, and initializing the minimum and maximum coordinate points of the simplified model in three dimensions of the three-dimensional coordinate system into extreme values; and traversing the point cloud data, dynamically updating coordinate boundaries of the simplified model in three dimensions of the three-dimensional coordinate system according to coordinates of each point in the obtained point cloud data, and obtaining a minimum circumscribed cuboid which is matched with the point cloud data and used for transformer substation equipment positioning in a three-dimensional space. According to the method, the minimum external cuboid of the adaptive equipment in the three-dimensional space is generated by analyzing the point cloud data of the substation equipment, the cuboid is used as the equipment model, the equipment model can be directly used for positioning the equipment, the size of the cuboid is matched with the equipment, accurate modeling of the equipment is not needed, and the equipment positioning efficiency is improved. The modeling cost and the calculation amount can be greatly reduced, and the efficiency of positioning the substation equipment is improved.

The invention belongs to the technical field of medical equipment management, and particularly relates to a shared patient transfer bed management method and system, a terminal and a storage medium, and the method comprises the steps: submitting a registration application to a shared transfer bed platform through a user terminal, uploading an identity qualification certificate and the use demand pre-registration information of a shared transfer bed; the use demand pre-registration information comprises predicted use duration and basic physical signs of the patient; submitting a transfer request to the shared transfer bed platform through a user terminal, wherein the transfer request comprises a use scene, use time, patient disease demands and destination information; the use scene comprises in-hospital transfer and inter-hospital transfer; according to the platform, a multi-dimensional matching algorithm is constructed based on the real-time position, the equipment state and the historical record, the priority score is calculated through the position matching degree, the state adaptation degree and the historical integrating degree, the adaptive equipment is quickly screened out, and the scheduling response time is shortened.

The invention discloses a charging needle and a charging device thereof, and relates to the technical field of charging equipment, the charging needle comprises a device main body, the device main body comprises an adaptive assembly, an inner shell connected with the adaptive assembly, an adjusting structure connected with the inner shell, and a pressing assembly connected with the adjusting structure, the device has the advantages that the third motor is arranged to drive the driving wheel and the driven wheel to conduct transmission on the transmission belt, the rotating piece, the rotating rod and the cam follower are driven to slide in the inner groove, and therefore rotating motion is converted into vertical motion; two third motors can independently drive a first groove body, a second groove body, a third groove body and a fourth groove body of different types to adapt to four different types of adaptive equipment, so that a user can accurately match the type of the required charging equipment; therefore, the wireless charging device can be widely applied to diversified scenes such as smart home, mobile office and public charging, and the requirement of a user for flexibly switching charging among different devices can be met.

The invention relates to the technical field of equipment health prediction scheme design, in particular to an equipment health prediction method and system based on an adaptive algorithm. The method comprises the steps of collecting multi-dimensional operation data of equipment in real time, wherein the multi-dimensional operation data comprises vibration, temperature, energy consumption and overall equipment OEE; cleaning and feature extraction are carried out on the data, and relevance features among different data sources are calculated innovatively; inputting the feature vector into a pre-trained equipment health prediction model to obtain a health score and a remaining service life; based on an evaluation result and production and inventory information, an optimal predictive maintenance suggestion is automatically generated; and carrying out incremental learning on the model by utilizing new data regularly, so that the model is adaptive to equipment aging. According to the method, the problems of data islands, model staticization and disjunction between prediction and decision in equipment health management of an existing digital twin system are solved, and more accurate and adaptive equipment health state prediction and intelligent maintenance decision can be realized.

The application discloses an intelligent management system and method applied to a hydropower station cloud platform, relates to cloud platform intelligent management, divides areas of a hydropower station, obtains equipment quantity and area environment characteristics in the area, when the area of the hydropower station is expanded, obtains similar areas of the expanded area, analyzes production speed differences of equipment in the expanded area and the similar areas, judges adaptation conditions of hydropower equipment to the expanded area, analyzes adaptation hydropower equipment proportion of the expanded area, inspects a network of the expanded area, confirms non-adaptive equipment types of the expanded area after inspection, schedules the non-adaptive equipment according to adaptive states of equipment in other areas, sets a monitoring period after scheduling is completed, and periodically schedules hydropower equipment and inspects the network of the area, so that, through real-time analysis of equipment production speed fluctuation conditions in the equipment management link, the application can identify interference equipment with operation abnormity, and ensures stable operation of hydropower equipment.

The application relates to the technical field of atmospheric monitoring, in particular to a sampling device for atmospheric monitoring, which comprises a mobile mounting plate, a loading mounting box is arranged on the upper side of the mobile mounting plate, and further comprises: an adaptive equipment loading mechanism which is used for adaptively loading and fixing various types of sampling equipment; a sampling height adjusting mechanism which comprises a sampling lifting plate, and an anti-interference sampling module is arranged at the upper end of the sampling lifting plate; a combined mounting type processing mechanism; and mobile leveling mechanisms are arranged at the lower corners of the mobile mounting plate. More accessories and consumables can be accommodated, and quick and stable taking, using and combined mounting are provided to adapt to more diverse atmospheric sampling requirements, atmospheric sampling of more complex sampling processing procedures can be met, the influence of micro-environment disturbance under high-speed airflow and complex gas environment can be eliminated, sampling quality, efficiency and applicability are improved, normal sampling operation can be carried out in more complex outdoor environments, and the height range and application scenarios of sampling are synchronously expanded.

The utility model relates to the field of loaders, in particular to a shovel tooth clamping tool of a loader. The technical problems that according to an existing clamping tool, due to the fact that the sizes of form relieved teeth are different, the form relieved teeth are prone to shaking or shifting in the installation process through a mismatched hydraulic system, the operation precision and safety are reduced, adaptive equipment needs to be frequently replaced for auxiliary installation when the hydraulic systems with the different form relieved tooth sizes are installed, the complexity of the systems is increased, and the work efficiency is high are solved. And the installation efficiency is reduced. According to the technical scheme, the clamping tool for the bucket teeth of the loading machine comprises a bucket, a clamping installation assembly, a fixing assembly and an auxiliary assembly; the filling plate is used for filling and fitting the shapes and the sizes of the relieved teeth according to the relieved teeth of different thicknesses and sizes, it is ensured that the clamping tool is tightly matched with the relieved teeth, shaking or sliding caused by unstable clamping in the operation process is reduced, the filling plate can play a buffering role, direct pressure and friction to the relieved teeth in the clamping process are reduced, and the clamping efficiency is improved. And the damage risk of the shovel teeth is reduced.

The invention relates to the technical field of atmospheric monitoring, in particular to a sampling device for atmospheric monitoring, which comprises a movable mounting plate, a loading mounting box arranged on the upper side of the movable mounting plate, and an adaptive equipment loading mechanism used for adaptively loading and fixing various types of sampling equipment; the sampling height adjusting mechanism comprises a sampling lifting plate, and an anti-interference sampling module is arranged at the upper end of the sampling lifting plate; a combined mounting type processing mechanism; and movable leveling mechanisms are arranged at four corners below the movable mounting plate. More accessories and consumables can be accommodated, and rapid and stable taking and combined mounting can be provided, so that more diversified atmosphere sampling requirements can be met, atmosphere sampling of a more complex sampling treatment process can be met, the influence of microenvironment disturbance in a high-speed airflow and complex gas environment can be eliminated, and the sampling quality, efficiency and applicability can be improved; normal sampling operation can be carried out in more complex outdoor environments, and the height range and the application scene of sampling are synchronously expanded.

The invention relates to the technical field of substation design, and discloses a substation design method and system. The method comprises the steps of obtaining outgoing line loop information and calculating a load rate of a transformer; matching adaptive equipment specifications based on the transformer parameters; calculating the number of wire cabinets in combination with a preset reserve rate, the cabinet modulus and the loop data; according to a load grade and a current size rule, distributing loops to an outgoing line cabinet and configuring a standby loop; and finally, generating a system construction drawing through multi-dimensional verification. Manual operation is replaced by data driving in the whole process, and automation of the whole process from information input to drawing output is achieved. According to the method, by automatically calculating the load rate, matching the equipment parameters and distributing the outgoing line loop, the tedious work of manually checking information of hundreds of loops by a designer is omitted, and the original design period needing several days is greatly shortened. The technical problems that existing design highly depends on manual operation, a large amount of time is consumed when a designer checks all power utilization loop information, and design efficiency is low are solved.

The reason I came up with this idea is to have an application indispensable for individuals with disabilities of all ages, their families and caregivers. Secondary markets include educational institutions, rehabilitation centers, workshops, consultants, companies providing adaptive equipment and resources, institutes and hospitals. The platform also appeals to government agencies and non-profit organizations focused on the inclusion of people with disabilities. So I think my idea will be very useful to this community.

Disclosed are systems and methods that provide a computerized device management framework that adaptively determines and applies security and configuration parameters to a device on a first network, and enables the adaptive application of such parameters as the device disconnects and connects to other networks. The disclosed framework enables the automatic detection of different networks being relied upon by the device for access to the Internet, upon which, management control policies of the device's activities can be controlled and managed in a unified manner. Accordingly, the disclosed framework can enable security and configuration mechanisms applied on a first network, upon which they are associated, to be seamlessly applied on another disparate network via a virtual private network connection enabled via proprietary mechanisms implemented on the device.

The utility model relates to the technical field of mechanical equipment foot margins, in particular to a self-adaptive equipment foot margin convenient to disassemble and assemble, which comprises a plurality of equipment bases arranged below equipment, a screw rod is arranged in the middle of each equipment base in a threaded connection mode, and a cushion block is arranged on the bottom spherical surface of each screw rod in a matched mode. A first hexagon nut in threaded connection with the screw rod is installed on the equipment base, an installation groove is machined in the middle of the cushion block and comprises a notch chamfer, a small-diameter groove and a large-diameter groove which are sequentially machined from top to bottom, a semicircular check ring groove is further machined in the groove wall of the small-diameter groove, and a second hexagon nut in threaded connection with the check ring groove is further machined in the groove wall of the large-diameter groove. And a steel wire baffle ring for a hole is arranged in the baffle ring groove. According to the self-adaptive equipment foot margin convenient to disassemble and assemble, the steel wire check ring for the hole is arranged in the cushion block, and the cushion block and the screw rod are in spherical surface fit, so that the reliable connection of the screw rod and the cushion block can be realized, and the installation efficiency is improved.

The present invention discloses an MAS-based adaptive device health diagnosis system and a diagnosis method, which relate to the technical field of device predictive maintenance. The diagnosis system is a single-layer multi-agent system composed of N diagnostic intelligent terminals, and any two of the N diagnostic intelligent terminals are connected by wireless communication or wired connection. The diagnosis system provided by the present invention has high self-adaptability and flexibility, can independently complete multi-layer target tasks such as multi-dimensional information perception, data processing, fusion judgment, and AI self-adaptation. The intelligent agent products can automatically handshake and cooperate to complete complex tasks. Users do not need to perform front-end development, and the development complexity and workload of solution providers are greatly reduced. The addition or withdrawal of business nodes, and the increase, decrease, and adjustment of local logic functions do not require rewriting the system software.

The invention relates to an intelligent central control device, an environment adaptive device control method and device, and a medium. The method comprises the steps of obtaining environment measured data provided by a plurality of online devices which are located in the same environment space and provide different modal data sources in a private network; constructing a single-source state vector corresponding to each data source, and fusing each single-source state vector into a multi-mode state vector representing the overall environment state; inputting the multi-modal state vector into a preset parameter generation model for reasoning to obtain control parameter vectors corresponding to at least part of the online devices in the plurality of online devices; and according to the control parameter vector, constructing equipment control instructions of part of online equipment to control the corresponding online equipment, so that the adjusted overall environment state can optimize the environment evaluation index and the operation energy consumption index. The intelligent equipment can be adaptively controlled according to the environment state of the intelligent home, so that the user experience is improved.

The present application belongs to the technical field of rehabilitation medical apparatus and discloses a wearable joint rehabilitation training device and a pressure self-adaptive control method. The training device comprises a flexible wearable main body, which is prepared by using medical-grade silica gel and knitted flexible composite material. Modular replaceable structural components are used to realize cross-joint and cross-injury-level adaptation and replacement. A multi-sensor feature acquisition module is used to acquire multi-dimensional feature data of human-machine contact in real time. A pressure self-adaptive driving adjustment module realizes single-region and multi-region differential pressure adjustment. A main control processing module is used for intelligent control, scheme generation and effect evaluation whole-process management and control. A man-machine interaction terminal is used to receive user manual adjustment instructions and display rehabilitation evaluation results. The wearable joint rehabilitation training device and the pressure self-adaptive control method are used to realize comfortable and adaptive equipment wearing, personalized and customized rehabilitation parameter adjustment and pressure self-adaptive precise output, thereby effectively improving the pertinence, safety and efficiency of joint rehabilitation training.

Disclosed are systems and methods that provide a computerized device management framework that adaptively determines and applies security and configuration parameters to a device on a first network, and enables the adaptive application of such parameters as the device disconnects and connects to other networks. The disclosed framework enables the automatic detection of different networks being relied upon by the device for access to the Internet, upon which, management control policies of the device's activities can be controlled and managed in a unified manner. Accordingly, the disclosed framework can enable security and configuration mechanisms applied on a first network, upon which they are associated, to be seamlessly applied on another disparate network via a virtual private network connection enabled via proprietary mechanisms implemented on the device.