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The embodiment of the invention discloses an installation and maintenance work order planning method and electronic equipment. The method comprises the steps that target installation and maintenance work order information is acquired, and the target installation and maintenance work order information comprises identification information of one or more broadband access devices to be installed and maintained; according to the identification information of the one or more broadband access devices and a data storage library, determining positioning information of installation and maintenance places corresponding to the one or more broadband access devices in a map; according to the target installation and maintenance work order information, the positioning information of the one or more broadband access devices and a first shortest path planning algorithm, determining path planning information of installation and maintenance personnel for completing installation and maintenance of the one or more broadband access devices; and presenting the path planning information. Through the scheme, intelligent path planning and real-time position visualization of the installation and maintenance work order are realized, and the installation and maintenance efficiency and customer satisfaction of installation and maintenance personnel are effectively improved.

This invention discloses a guidance system for a spiral descending tunnel boring machine (TBM). The guidance system provides three-dimensional guidance using a combination of a planar coordinate system and elevation. The planar coordinate system is established around the center of the spiral descending tunnel plane and includes an X-axis and a Y-axis, both parallel to straight lines around the spiral descending tunnel. This invention's guidance system and method for the spiral descending TBM establish a three-dimensional spatial guidance system based on a planar coordinate system and elevation, solving the problem of traditional guidance systems being unable to recognize overlapping horizontal coordinates in spiral descending tunnels. It also divides the tunnel into zones for control and performs planar coordinate value conversion in the planar coordinate transformation zone, providing intuitive values ​​for left and right deviations of the TBM, facilitating accurate and intuitive steering correction by the TBM operator.

The application provides a single-cell rare cell type identification method and system based on a divide-and-conquer strategy, comprising the following steps: S1, using a variational autoencoder to encode single-cell transcriptome data into Gaussian distribution hidden variables; S2, performing spectral clustering on the Gaussian distribution hidden variables to obtain a single-cell coarse-grained clustering result; and S3, optimizing the single-cell coarse-grained clustering result based on intra-class cluster loss and inter-class cluster loss until the intra-class cluster loss and the inter-class cluster loss are minimized to obtain a single-cell clustering result containing rare cell types. The application can overcome the deficiency that previous single-cell clustering and identification methods do not optimize rare cell types, leading to misclassification or difficulty in identifying rare cell types.