7results about How to "Save inspection time" patented technology

The present application belongs to the technical field of battery equalization device, especially relates to a lead-acid battery equalization device. The present application comprises: a processor module, a measurement battery selection module, a battery parameter storage module, an analog power supply module, a power module, a first charge-discharge circuit module, a second charge-discharge circuit module, and a communication module; the measurement battery selection module, the battery parameter storage module, the analog power supply module, the power module, the first charge-discharge circuit module, the second charge-discharge circuit module, and the communication module are respectively connected with the processor module; the processor module selects the first charge-discharge circuit module or the second charge-discharge circuit module through the measurement battery selection module to realize independent charge-discharge of single batteries; the first charge-discharge circuit module and the second charge-discharge circuit module sample and calculate the battery voltage in real time through the processor module to trigger the equalization operation. The present application is modularized and multi-node collaborative to realize precise charge-discharge control and real-time state monitoring.

The application discloses a photovoltaic inverter layered distributed installation layout optimization method convenient for operation and maintenance and upgrading, constructs a three-layer linkage architecture of a centralized management layer, a regional control layer and a device execution layer, the regional control layer automatically scans a photovoltaic inverter NFC electronic tag through a dynamic topology identification mechanism, realizes plug-and-play of the device and second-level topology updating, a master and standby regional control unit adopts an incremental snapshot synchronization technology, completes non-perception switching within millisecond-level time, and ensures continuity of control instructions, the system adopts an operation and maintenance efficiency index dynamic optimization algorithm, forms an adaptive optimal layout scheme, a five-dimensional health degree evaluation model is constructed by combining DC side attenuation and MPPT deviation, early warning and pre-maintenance of device failure are realized, a time-space separation gray upgrade strategy combined with power generation power prediction is deployed, batch upgrading is realized, and automatic function verification and rollback are realized, and zero risk in the upgrading process is ensured. The application solves the technical problems of static rigidity of a traditional layout and concentrated upgrading risks.

The present application relates to the technical field of industrial unmanned aerial vehicle application and intelligent scheduling, and particularly discloses an unmanned aerial vehicle highway inspection task intelligent planning management system, which comprises a task input module, an intelligent planning engine, a task execution management module, a data hub and a feedback optimization module; the task input module receives and checks and analyzes inspection task requirements and highway basic information; the intelligent planning engine decomposes task priorities based on highway multi-dimensional attributes, dynamically allocates unmanned aerial vehicle resources and generates an optimal path meeting multiple constraints; the task execution management module issues adaptive instructions, monitors unmanned aerial vehicle states and processes inspection data; the data hub uniformly stores whole-process data; and the feedback optimization module optimizes a decision model based on historical data. The present application improves inspection planning accuracy and resource utilization, guarantees data quality, realizes self-evolution and ensures efficient and reliable highway inspection.

This utility model provides a quick-install bearing housing, relating to the field of bearing housing technology, comprising: a bearing housing body; two end cap bodies symmetrically bolted to the outside of the bearing housing body; both end cap bodies being aligned with the bearing housing body; four threaded through holes arranged in a rectangular array on the outside of the bearing housing body; two sets of mounting grooves arranged in a symmetrical annular array on the outside of the bearing housing body; control slide plates slidably connected within each of the two sets of mounting grooves; and the two sets of control slide plates being aligned with the positions of the two end cap bodies respectively. When installing the end cap bodies onto the bearing housing body, if the bolts are not tightened sufficiently, the control slide plates cannot be fully compressed, and the warning slide plate will be exposed. This solves the problem that to prevent the end caps from loosening, it is usually necessary to use a torque handle to check the bolt torque one by one, or to disassemble the end caps to check the internal fit, which is a rather cumbersome operation.

The application discloses a hilly and mountainous natural rubber plantation intelligent inspection method and device, relates to the technical field of forestry and agricultural intelligence equipment, and solves the problems of low artificial inspection efficiency of the existing rubber plantation and insufficient unmanned aerial vehicle under-forest monitoring. The device is based on a four-legged walking platform, integrates a navigation module, a data acquisition module and a pest condition detection module; the method generates an inspection route and a tree body database, fuses positioning walking, RGB preliminary screening-high spectrum accurate detection, multi-source data fusion to obtain a comprehensive risk value, divides levels and generates a report. The device can adapt to a 25-35 degree slope, the positioning error is less than or equal to 5 cm, accurate identification of diseases and insect pests and quantitative monitoring of insect conditions are realized, autonomous return is supported, and the inspection efficiency and accuracy are improved.

This application relates to a drone-nested power distribution application system and method based on power grid drone inspection, comprising an automatic drone nesting unit, a drone swarm, an edge computing unit, a collaborative scheduling unit, and an intelligent application unit. Each unit is connected to the dedicated power grid via a dual-link redundant transmission through a 5G network. The automatic drone nesting unit provides the drone swarm with automatic take-off and landing, intelligent power replenishment, and environmental adaptive protection. The drone swarm is equipped with multimodal sensors to collect images of distribution network equipment and environmental data. The edge computing unit, integrated within the drone nesting unit, performs multimodal data fusion, defect identification, and online incremental algorithm updates. The collaborative scheduling unit, based on a digital twin model of the distribution network, achieves unified scheduling, spatiotemporal isolation, and emergency response for multiple drones and tasks. The intelligent application unit seamlessly integrates with the power grid management platform to achieve task distribution and closed-loop processing of work orders. This application significantly improves inspection efficiency and defect identification accuracy while reducing operation and maintenance costs.

This utility model discloses an oil flow filtration and flow rate display device, comprising a single-cylinder filter, a flow rate display device, and a dustproof plug connected sequentially via an oil pipe. The flow rate display device includes an acrylic housing with a hollow center. An impeller is rotatably connected within the hollow cavity. The acrylic housing has inlet and outlet ports with quick-connect couplings at both ends. The dustproof plug is located at the bearing lubrication point. This device allows inspectors to quickly and accurately determine the operating status, oil flow, oil pressure, and oil quality of an oil station (pump), avoiding equipment malfunctions caused by misjudgments based solely on experience. This significantly improves the accuracy of inspectors' judgments and reduces their inspection time.