Mined material is transported within and outside a mine (10) in containers (26) that are fixed. discrete load units. namely containers that define a fixed maximum volume that can be carried in each container. The containers can be carried on or coupled to and then removed from vehicles (16) or other transport options. such as flatbed trucks. flatbed rail carriages or overhead suspension units. The containers can be stored at designated container storage facilities (28) in the mine. The container storage facilities are holding areas for loaded containers at mines until decisions are made to transport the containers to mineral processing plants (30) in the mine or to end-use customers. for example via rail to a shipping port (24).

There is provided a material categorisation and transportation system including a plurality of mine vehicles for transporting material within a mine site from a first location in the form of a blast site to a second location. The system includes a sensing device for actively sensing chemical property characteristics of raw blasted mined material such that the raw material can be categorised into a plurality of material categories based on the sensed characteristics. The system further includes a loading device located at blast site for loading the raw material into a predefined one of the mine vehicles based on material category for transportation to the second location. The system is such that each of the mine vehicles only carries raw material of a predetermined one of the material categories.

There is provided a material categorisation and transportation system including a plurality of mine vehicles for transporting material within a mine site from a first location in the form of a blast site to a second location. The system includes a sensing device for actively sensing chemical property characteristics of raw blasted mined material such that the raw material can be categorised into a plurality of material categories based on the sensed characteristics. The system further includes a loading device located at blast site for loading the raw material into a predefined one of the mine vehicles based on material category for transportation to the second location. The system is such that each of the mine vehicles only carries raw material of a predetermined one of the material categories.

A method is provided for autonomous anomaly management of an industrial site having industrial equipment in its field, including identifying industrial equipment to be inspected in the field, obtaining select autonomous sensor data about the identified industrial equipment from at least one mobile autonomous device routed along respective routes for accessing the identified industrial equipment, processing the autonomous sensor data to identify a potential anomaly, and in response to identifying a potential anomaly, taking action(s) to address the potential anomaly, wherein, as a combination, identifying the equipment, processing the autonomous sensor data, identifying the potential anomaly, and determining the action(s) use historical measurement and/or control data from the industrial equipment, historical autonomous sensor data, extrinsic data including at least one of guidance and/or constraint data about the industrial site, and supervisory and/or control data generated and/or collected by supervisory control of the industrial site disposed remote from the field.

A method is provided for autonomous anomaly management of an industrial site having industrial equipment in its field, including identifying industrial equipment to be inspected in the field, obtaining select autonomous sensor data about the identified industrial equipment from at least one mobile autonomous device routed along respective routes for accessing the identified industrial equipment, processing the autonomous sensor data to identify a potential anomaly, and in response to identifying a potential anomaly, taking action(s) to address the potential anomaly, wherein, as a combination, identifying the equipment, processing the autonomous sensor data, identifying the potential anomaly, and determining the action(s) use historical measurement and/or control data from the industrial equipment, historical autonomous sensor data, extrinsic data including at least one of guidance and/or constraint data about the industrial site, and supervisory and/or control data generated and/or collected by supervisory control of the industrial site disposed remote from the field.

A method and a system for rhythmic motion control of a robot based on a neural oscillator, including: acquiring a current state of the robot, and a phase and a frequency generated by the neural oscillator; and obtaining a control instruction according to the acquired current state, phase and frequency and a preset reinforcement learning network so as to control the robot. The preset reinforcement learning network includes an action space, a pattern formation network and the neural oscillator. A control structure designed by the present disclosure, which is composed of the neural oscillator and the pattern formation network, can ensure formation of an expected rhythmic motion behavior; and meanwhile, a designed action space for joint position increment can effectively accelerate the training process of rhythmic motion reinforcement learning, and solve a problem that design of the reward function is time-consuming and difficult in learning with existing model-free reinforcement learning.

A method and a system for rhythmic motion control of a robot based on a neural oscillator, including: acquiring a current state of the robot, and a phase and a frequency generated by the neural oscillator; and obtaining a control instruction according to the acquired current state, phase and frequency and a preset reinforcement learning network so as to control the robot. The preset reinforcement learning network includes an action space, a pattern formation network and the neural oscillator. A control structure designed by the present disclosure, which is composed of the neural oscillator and the pattern formation network, can ensure formation of an expected rhythmic motion behavior; and meanwhile, a designed action space for joint position increment can effectively accelerate the training process of rhythmic motion reinforcement learning, and solve a problem that design of the reward function is time-consuming and difficult in learning with existing model-free reinforcement learning.

A system for locating an asset on a worksite includes one or more processing circuits configured to receive a stored location of a tracking tag, capture data of a field of view including the stored location, determine, based on the data, if an asset is present in the field of view, upon determining that the asset is present in the field of view, compare the stored location to a calculated location of the asset, upon determining that the stored location is different than the calculated location, at least one of (i) update the stored location to be the calculated location or (ii) provide an indication of a difference between the stored location and the calculated location, and upon determining that the asset is missing from in the field of view, generate an indication indicating that the asset is missing from the field of view.

A system for locating an asset on a worksite includes one or more processing circuits configured to receive a stored location of a tracking tag, capture data of a field of view including the stored location, determine, based on the data, if an asset is present in the field of view, upon determining that the asset is present in the field of view, compare the stored location to a calculated location of the asset, upon determining that the stored location is different than the calculated location, at least one of (i) update the stored location to be the calculated location or (ii) provide an indication of a difference between the stored location and the calculated location, and upon determining that the asset is missing from in the field of view, generate an indication indicating that the asset is missing from the field of view.

Provided are a power supply management circuit, a function module, an autonomous operation device and a control system. The power supply management circuit comprises a switch unit (1), a first voltage reduction unit (2), a second voltage reduction unit (3) and a control unit (4), the switch unit (1) being connected to a battery (10), and the switch unit (1) being used for turning on or turning off a path between the battery and a load (20), wherein when the switch unit (1) is in a turned-on state, the power supply management circuit comprises a first state and a second state; the first voltage reduction unit (2) is connected to the switch unit (1), and the first voltage reduction unit (2) is used for converting, in the first state, the voltage of the battery (10) into a voltage required by the load (20), and supplying power to the load (20); the second voltage reduction unit (3) is respectively connected to the switch unit (1) and the control unit (4), and the second voltage reduction unit (3) is used for converting, in the second state and according to a first control instruction of the control unit (4), the voltage of the battery (10) into the voltage required by the load (20), and supplying power to the load (20). By means of the circuit, the problem of high-power loss of a power supply management circuit is solved.