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5results about How to "Reduced wiring effort" patented technology

Outdoor terminal box and anti-condensation system

The invention relates to the field of terminal boxes, and discloses an outdoor terminal box and an anti-condensation system, and the outdoor terminal box comprises a main body part; the threading part is arranged in the main body part; a moistureproof dehumidification part arranged in the main body; wherein wiring is facilitated and moisture invasion is blocked through the threading part, heating, heat preservation and dehumidification are carried out on the interior of the main body part through the moisture-proof and dehumidification part, and condensation prevention is achieved; a worker does not need to climb to the position right below the device, lie on his / her head and slowly find a hole for threading, the wiring difficulty is reduced, the wiring workload is reduced, the wiring efficiency is improved, moisture and small animals can be prevented from invading through the wiring position, heating, heat preservation and dehumidification can be achieved, condensation prevention is achieved, and equipment in a box body is prevented from being in a humid environment; and power supply reliability is ensured.
Owner:GUIZHOU POWER GRID CO LTD

Optical storage and off-grid devices

This utility model relates to the field of energy storage technology, and in particular to a photovoltaic-storage off-grid device. An off-grid photovoltaic-storage device includes an integrated cabinet housing a battery pack, a PCS module, an STS module, and an EMS module. The STS module is connected to the power grid and the EMS module, and is used to detect the grid status and send a status signal to the EMS module when the grid is de-energized. The EMS module is used to control the PCS module to switch from grid-connected mode to off-grid mode based on the status signal, so that the battery pack can supply power to the load; it is also used to switch the PCS module back to grid-connected mode when the grid is restored.
Owner:SHEN ZHEN JI WA SHI DAI DIAN QI YOU XIAN GONG SI

A large steel structure beam strain distributed intelligent monitoring system

The utility model provides a large -scale steel structure beam strain distribution type intelligent monitoring system, include: distribution type strain sensing module, data acquisition and transmission module, data analysis and diagnosis module, intelligent early warning module and protection and installation module, wherein, distribution type strain sensing module is used for realizing the strain collection of steel structure beam, data acquisition and transmission module is used for transmitting the data of distribution type strain sensing module collection to remote server, data analysis and diagnosis module is used for carrying out analysis and diagnosis to the steel structure beam data of collection, intelligent early warning module is used for sending early warning signal according to analysis diagnosis result, protection and installation module is used for guaranteeing the stable operation of equipment under the open environment. The utility model solves the problem that traditional monitoring system wiring is complex, environmental suitability is poor, diagnosis is lagging behind etc. can be widely used in the safety monitoring of large -scale steel structure beam's construction period and operation period.
Owner:JIANGHAN UNIVERSITY

Flat cable type multi-channel temperature sensor

The utility model relates to the technical field of temperature sensors, in particular to a flat cable type multichannel temperature sensor, which comprises a temperature sensor body, a common wiring end and a slot, a flat cable crimping assembly is inserted in the inner side of the slot, an operation assembly is fixedly connected to the top end of the flat cable crimping assembly, and a circuit connecting wire is fixed on the inner side of the flat cable crimping assembly in a crimping manner. The circuit connecting wire is crimped and fixed in the flat cable assembly, the flat cable crimping assembly comprises a fixed seat, a guide hole is formed in the upper end of the fixed seat, a movable crimping groove is formed in the inner side of the fixed seat, a limiting telescopic rod is fixedly connected to the upper end of the movable crimping groove, a pressing plate is fixedly connected to the bottom end of the limiting telescopic rod, and a first rubber sleeve is fixedly connected to the lower end of the pressing plate. According to the utility model, the device centralizes the wiring work of the sensor, thereby not only improving the wiring efficiency, but also remarkably reducing the labor intensity of workers, and reducing the wiring error rate, thereby improving the overall installation quality and reliability.
Owner:陕西中创精密传感技术有限公司

Sheet metal part deformation stress distribution prediction method based on multispectral neural network fusion

PendingCN122087995AImprove reliabilityReduce the impact of temperature measurement accuracyGeometric CADBiological modelsAlgorithmNeural network nn
The invention discloses a multispectral neural network fused sheet metal part deformation stress distribution prediction method, and belongs to the technical field of sheet metal part stress detection. In order to solve the problem that non-contact full-field prediction is difficult to realize by simultaneously utilizing a deformation field and a temperature field in existing sheet metal part stress distribution prediction, the method comprises the following steps: acquiring visible light, a first infrared multispectral image sequence and a second infrared multispectral image sequence when a sheet metal part bears an external load, and calculating deformation field data according to displacement of a mark point in a visible light image; calculating temperature field data according to a radiation brightness difference value of the two infrared band images, stacking a normalized deformation field and a normalized temperature field in a channel dimension to form a multi-channel feature tensor, inputting the multi-channel feature tensor into a three-dimensional convolutional neural network comprising at least three convolutional layers and two pooling layers, outputting a stress distribution probability graph corresponding to each stress value interval, and obtaining a stress distribution probability graph corresponding to each stress value interval; and taking a maximum probability corresponding interval to generate a final stress distribution prediction map. The method is mainly used for the non-contact prediction of the surface stress distribution of the sheet metal part under the static or dynamic load.
Owner:BEIJING HAOHAI JIAYE MASCH TECH CO LTD