5results about How to "Avoid swapping" patented technology

This invention provides a single-atom palladium-modified hierarchical porous molecular sieve adsorbent, its preparation method, and its application, comprising the following steps: S1. Adding a palladium complex to a molecular sieve gel and mixing evenly; S2. Crystallizing the product obtained in step S1 at a certain temperature for a certain time, and then washing, drying, and calcining to obtain the single-atom palladium-modified hierarchical porous molecular sieve adsorbent. In the preparation method of this invention, the palladium complex is used simultaneously as both a palladium source and a pore-forming agent, enabling the in-situ synthesis of the single-atom palladium-modified hierarchical porous molecular sieve adsorbent via a one-step method. The palladium species are anchored at ion exchange sites in an isolated single-atom ionic state, resulting in more effective adsorption sites with a more uniform distribution and higher NO content. x capacity.

The utility model discloses a spectrometer. The spectrometer comprises a shell, an interferometer module, an out-of-cabin front light path element, an out-of-cabin rear light path element and a detector module. The shell comprises a core bin and a functional bin which are sealed and isolated, an interferometer module is arranged in the core bin, and an out-bin front light path element, an out-bin rear light path element and a detector module are arranged in the functional bin. The out-of-bin front light path element emits light from a light source into the core bin, and the interferometer module receives the light from the out-of-bin front light path element; and emergent light of the interferometer module is emitted out of the core bin and is emitted to the detector module through the rear light path element outside the core bin. Therefore, related elements are located in the functional bin and the core bin respectively, the functional bin is isolated from the core bin, impurities (such as dust) are prevented from being exchanged between the functional bin and the core bin, the waterproof and dustproof effects are achieved, and the impurities cannot affect optical elements in the core bin and the functional bin.

The application provides an underwater hydraulic hoist, which comprises a hydraulic cylinder, a piston rod and a power assembly, the piston rod extends out of the hydraulic cylinder to form an outer acting part, further comprises a flexible protection assembly and a filter assembly, the flexible protection assembly, the hydraulic cylinder and the outer acting part are sealingly connected to form a flexible bin, and the flexible bin is in communication with the filter assembly. The filter assembly comprises a filter, the filtering-out end of the filter is sealingly connected with the flexible bin, and a check valve is arranged at the filtering-in end. A breathing pipe is arranged in a cable assembly. The underwater hydraulic hoist provided by the application can ensure that the outer acting part of the piston rod is separated from the external dirty water body through the flexible protection assembly and the filter assembly, and prevent the piston rod from being damaged or leaking due to scaling and the like. The application has the advantages of simple structure, reliable operation, convenient installation and the like.

This invention discloses a federated learning method, apparatus, and device for multi-base station unmanned vehicles. The method includes: first, constructing a base station set and an unmanned vehicle set; second, constructing a first edge model and an initial global network model; third, broadcasting the first edge model to each unmanned vehicle; fourth, training each local model of each unmanned vehicle to obtain update parameters for each local model; fifth, compressing the update parameters of each local model and uploading them to the corresponding base station for aggregation to obtain a second edge model; sixth, replacing the first edge model with the second edge model and returning to the third step. The third to fifth steps are repeated for the first time, and so on. When the b-th iteration is repeated, b = 2, 3, ..., E-1, the (b+1)-th edge model is replaced with the b-th edge model and the process returns to the third step until the target edge model is obtained. The target edge models are then aggregated to obtain a high-performance target global network model.

This invention provides a photovoltaic support bracket full lifecycle traceability device, system, and method based on passive sensing and digital twins. The traceability device includes a housing and a main control MCU module encapsulated within the housing, as well as a power management module, an EEPROM storage module, a sensor monitoring module, and an NFC communication module. The output of the power management module is connected to other modules to supply power. The main control MCU module is connected to the EEPROM storage module, the sensor monitoring module, and the NFC communication module respectively, controlling data acquisition, transmission, and storage, and is responsible for data scheduling. The EEPROM storage module stores UID, production batch, tamper-proof status bit, and historical environmental monitoring data. The sensor monitoring module monitors the ambient temperature, humidity, and stress state of the support bracket. The NFC communication module enables passive / semi-active near-field communication with a handheld terminal APP. This invention achieves "one item, one code" full-chain management from raw materials to end-of-life recycling, and realizes visualized management of project progress.