When the heading machine tunnels, a current generated by a current excitation source enters a coal seam through a movable cutting pick to form a stray current. The stray current collected by a backflow net returns to a negative electrode of a power supply through a transition resistor. When information such as the water content of the coal seam changes, the stray current and a potential difference across the transition resistor also accordingly change, and the coal seam water content information is converted into an electric signal. When the potential difference across the transition resistor is applied to two ends of a piezoelectric ceramic, the piezoelectric ceramic extends or compresses, and the electric signal is converted into a strain signal. A sensing optical fiber converts the strain signal into an optical signal detectable by a photoelectric detector. The optical signal is analyzed to obtain the coal seam water content information.

Systems and methods for estimating a hardness of a rock mass during operation of an industrial machine. One system includes an electronic processor configured to receive a rock mass model and to receive live drilling data from the industrial machine. The electronic processor is also configured to update the rock mass model based on the live drilling data and to estimate a drilling index for a hole based on the updated rock mass model. After estimating a drilling index for the hole, the electronic processor is also configured to set a blasting parameter for the hole based on the estimated drilling index.

Systems and methods for estimating a hardness of a rock mass during operation of an industrial machine. One system includes an electronic processor configured to receive a rock mass model and to receive live drilling data from the industrial machine. The electronic processor is also configured to update the rock mass model based on the live drilling data and to estimate a drilling index for a hole based on the updated rock mass model. After estimating a drilling index for the hole, the electronic processor is also configured to set a blasting parameter for the hole based on the estimated drilling index.

A tunnel boring machine having a cutting wheel equipped with a number of excavation tools provided with sensor units and, in a corresponding tunnelling method, only substantially fully worn excavation tools are able to be replaced using a data processing device designed with an advancement planning unit by detecting the current state of the excavation tools and predicting the state of the excavation tools on tool replacement predication planes lying in the advancing direction.

A method and a device for acquiring three-dimensional coordinates of ore based on mining process are disclosed. The method includes: obtaining a two-dimensional coordinate of the ore by using a YOLACT algorithm and a NMS algorithm to obtain a prediction mask map, obtaining depth information of the ore based on the color map and the infrared depth map, and combining the two-dimensional coordinate with the depth information to obtain a three-dimensional coordinate of the ore.

A method and a device for acquiring three-dimensional coordinates of ore based on mining process are disclosed. The method includes: obtaining a two-dimensional coordinate of the ore by using a YOLACT algorithm and a NMS algorithm to obtain a prediction mask map, obtaining depth information of the ore based on the color map and the infrared depth map, and combining the two-dimensional coordinate with the depth information to obtain a three-dimensional coordinate of the ore.

A method and a device for acquiring three-dimensional coordinates of ore based on mining process are disclosed. The method includes: obtaining a two-dimensional coordinate of the ore by using a YOLACT algorithm and a NMS algorithm to obtain a prediction mask map, obtaining depth information of the ore based on the color map and the infrared depth map, and combining the two-dimensional coordinate with the depth information to obtain a three-dimensional coordinate of the ore.

A method and a device for acquiring three-dimensional coordinates of ore based on mining process are disclosed. The method includes: obtaining a two-dimensional coordinate of the ore by using a YOLACT algorithm and a NMS algorithm to obtain a prediction mask map, obtaining depth information of the ore based on the color map and the infrared depth map, and combining the two-dimensional coordinate with the depth information to obtain a three-dimensional coordinate of the ore.

A system and method are provided for the tracking of material milled via a milling machine, to improve recycling possibilities for the milling material. The milling material removed during milling is deposited onto a vehicle for transport to a deposition site. A first detection device associated with the milling machine detects data signals relating to the milling material, and the milling material is tracked via a documentation device comprising a user interface, based at least on the data signals. The documentation device may selectively display which milling material has been unloaded at a particular deposition site. A marking device may be provided to mark the milling material or the transport vehicle, and/or a second detection device may be provided to detect position data corresponding to the deposition site, wherein the marking and/or position data are interlinked with the data signals relating to the milling material in the documentation device.

A method for classifying a phreatic leakage disaster level in shallow coal seam mining includes the following steps: S1. arranging a monitoring hole in a coal mine working face and burying a telemetering water level gauge to perform water level monitoring; S2. monitoring a ground elevation, calculating a ground subsidence amount, and collecting mining advance distance information; S3. plotting variation relationship curves of mining advance distance and phreatic water level as well as mining advance distance and ground subsidence according to monitored information, respectively; and S4. comparing the curves with a no-leakage graph, a slight-leakage graph, and a heavy-leakage graph, and determining a leakage level; and S5. further classifying a studied area as an environmental disaster area or an environmentally friendly area.