Search

KR-102963050-B1 - Optimal energy storage utilization rate

KR102963050B1KR 102963050 B1KR102963050 B1KR 102963050B1KR-102963050-B1

Abstract

According to the present invention, a system (1) comprising at least partially autonomous mining machines (2) and a method for calculating an optimized energy storage utilization rate in such a system (1) are proposed. Data is obtained in relation to the location of each mining machine (2) and each energy storage (6) in a shared task assignment (8), each mining machine (2), each energy storage (6), and a mining environment (3). The obtained data is provided to a fog and/or cloud computing system (13), which is used to calculate an optimized energy storage (6) utilization rate in relation to at least one of the following optimization goals: productivity, cost, or safety. Workflow information for performing the shared task assignment (8) based on the optimized energy storage (6) utilization rate is distributed to the mining machines (2).

Inventors

  • 페르손 안더스
  • 말름 패트릭

Assignees

  • 에피록 로크 드릴스 악티에볼라그

Dates

Publication Date
20260511
Application Date
20220916
Priority Date
20211008

Claims (10)

  1. A system (1) comprising at least partially autonomous multiple mining machines (2) configured to operate in a defined mining environment (3) having a defined work area (4) and a defined service area (5), wherein the service area (5) is configured to accommodate one or more unconnected energy storages (6) and equipment (7) for replenishing such unconnected energy storages (6), and wherein a shared work assignment (8) including at least one current work is performed for each mining machine (2) in the mining environment (3). - Each propulsion unit (9) configured to provide mobility for each mining machine (2); - Each onboard equipment (10) associated with each individual mining machine (2); - One or more machine sensors configured to monitor each of the mining machines (2) within the mining machines; - A group of interchangeable energy storages (6), each energy storage (6) configured such that one or more sensors monitor each energy storage (6), and each energy storage (6) can be optionally connected to at least one of several mining machines (2) to supply each propulsion unit (9) and each onboard equipment (10); - A spatial positioning system (11) for deriving the location of each mining machine (2) and each energy storage (6) in a mining environment (3); and - Includes a communication interface (12) for providing a data link between each mining machine (2) in the mining environment (3) and the fog and/or cloud computing system (13), and A fog and/or cloud computing system (13) is configured to calculate an energy storage utilization rate optimized for at least one of the following optimization goals—productivity, cost, or safety—based on data from each mining machine (2) and energy storage (6), data from a spatial positioning system (11), and data related to a shared task assignment (8), and to distribute workflow information for performing a shared task assignment (8) based on the optimized energy storage utilization rate to multiple mining machines (2) via a communication interface (12), wherein the workflow includes at least one current task for each mining machine (2).
  2. In paragraph 1, A system in which one or more machine sensors monitoring each of the mining machines (2) in a number of mining machines are configured to provide data regarding at least one environmental characteristic.
  3. In paragraph 1, A system configured such that one or more sensors monitoring each energy storage (6) provide data regarding at least one of usage status, remaining capacity, wear and tear and health status, and mechanical connection compatibility.
  4. In paragraph 1, The shared work assignment data (8) is a system that includes data regarding at least one of the overall shared work assignment plan, individual work plan, individual operation plan, individual work cycle, individual work type, mining environment infrastructure function and constraint.
  5. In paragraph 3, The fog and/or cloud computing system (13) is further configured to calculate the energy storage utilization rate individually optimized for each mining machine (2) and each energy storage (6).
  6. In paragraph 1, The fog and/or cloud computing system (13) is further configured to calculate an optimized energy storage utilization rate based on different optimization goals for each mining machine (2) in multiple mining machines.
  7. In paragraph 1, The fog and/or cloud computing system (13) is further configured to calculate an optimized energy storage utilization rate based on location data of the spatial positioning system (11), taking into account at least one of the time required to drive each mining machine (2) to a suitable exchangeable energy storage (6) in a service area (5) or another mining machine (2), the energy required to drive each mining machine (2) to a suitable exchangeable energy storage (6) in a service area (5) or another mining machine (2), the time required to replace the energy storage (6), or the time required to replenish the energy storage (6).
  8. As a method for calculating the optimized energy storage utilization rate in a system, - (S1) A step of obtaining data related to shared task assignment (8); - (S2) A step of obtaining data related to each mining machine (2) within a number of mining machines using one or more machine sensors; - (S3) A step of obtaining data associated with each energy storage (6) using one or more energy storage sensors; - (S4) A step (11) of obtaining data related to the location of each mining machine (2) and each energy storage (6) in a mining environment (3) using a spatial positioning system (11); - (S5) A step of providing the acquired data to a fog and/or cloud computing system (13) using a communication interface (12); - (S6) A step of calculating an energy storage utilization rate optimized for at least one of the following optimization goals, productivity, cost, or safety, based on data provided by the fog and/or cloud computing system (13); and - (S7) Includes the step of automatically distributing workflow information for performing shared work assignment (8) based on an optimized energy storage utilization rate to multiple mining machines (2) through a communication interface (12), and A workflow that includes at least one current task for each miner (2).
  9. A non-transient computer-readable storage medium (14) that stores a program configured to execute a method for calculating an optimized energy storage utilization rate in a system according to paragraph 8.
  10. delete

Description

Optimal energy storage utilization rate The present invention relates to the field of mining machines, and more specifically, to a system comprising at least partially autonomous mining machines and a method for calculating an optimized energy storage utilization rate in such a system. Generally, multiple mining machines operate simultaneously in a work area to perform shared tasks; however, to perform shared tasks, individual miners among the multiple machines must perform individual tasks at individual locations. To perform individual tasks, a machine suitable for the specific task must be applied, and this machine requires a certain amount of energy to perform the individual tasks and to propel it back and forth between individual work positions. Energy for performing tasks and propulsion is generally provided by internal combustion engines or electric motors, which require fuel such as gasoline or diesel, or an electrical power source such as batteries and/or fuel cells, respectively. When using fuel cells, hydrogen is typically used as fuel to supply electricity. For reasons of practicality and safety, refueling or charging is often carried out in dedicated service areas where combustible fuels can be safely handled separately from operations such as blasting. Therefore, in addition to the energy requirements for performing the task, each machine requires a certain amount of energy to propel it to and from the work site within these service areas. Hereinafter, a more detailed description of embodiments of the present invention follows with reference to the attached drawings: FIG. 1 illustrates a schematic diagram of a system comprising at least partially autonomous mining machines operating in a defined mining environment while receiving energy using an interchangeable energy storage group. Figure 2 illustrates a flowchart schematically explaining a method for calculating an optimized energy storage utilization rate in a system according to Figure 1. Hereinafter, a detailed description is provided of a system (1) comprising at least partially autonomous mining machines (2) operating in a defined mining environment (3) while receiving energy using a group of exchangeable energy storage (6) according to the present disclosure. Referring to FIG. 1, the defined mining environment (3) has a defined work area (4) and a defined service area (5). The service area (5) is configured to accommodate one or more unconnected energy storages (6) and equipment (7) for replenishing such unconnected energy storages (6). The defined service area (5) ensures that energy storages (6) for supplying to the mining machine (2), such as combustible fuel and/or power storage, can be safely handled. The shared work assignment (8) includes at least one current work for each miner (2) performed in the mining environment (3). The expression “mining machine” as used in the present disclosure may include excavators, shovels, draglines, bulldozers, loaders, scrapers, skid steers, graders, dump trucks, transport trucks, tank vehicles, watercraft, forklifts, personnel transport, cranes, conveyor systems, sorters, crushers, and multi-purpose vehicles. Excavators are used for various purposes, such as exploratory drilling to determine the location and quality of minerals, and production drilling used in the production cycle for mining and/or construction. Tracked or wheeled excavators include backhoes, a type of excavator equipped with a self-facing bucket. A typical backhoe design features an inward-facing bucket attached to an articulated arm or "boom." Backhoes are frequently used not only for removing and loading overloads but also for scraping high embankments or digging ditches. The shovel, also known as a "power shovel," is a tracked, multi-purpose excavator equipped with a large, outward-facing bucket at the end of a powerful, articulated boom capable of rotating 360 degrees. The shovel is primarily used to dig the ground to remove overloads and to selectively load materials for transport. A dragline is a type of specialized excavation equipment that uses a crane-like boom to throw a bucket equipped with a heavy cable outward, pulling the bucket to remove large overloads, load ore, and manage material piles. Draglines can be equipped with buckets of specific designs and weights depending on the mineral being mined. A bulldozer is a tracked vehicle equipped with a wide, vertically mounted front pusher blade that can be raised and lowered during operation. Heavy, powerful, and highly stable, bulldozers are commonly used for clearing land, pushing materials over short distances, working on slopes, and managing material piles and workspaces. A loader is a large, wheeled vehicle typically equipped with a deep, wide bucket at the front. Loaders are used to load excavated materials onto transport trucks and feeders, push or discard overloads, and manage material piles or waste areas. In sand and gravel mining operations, loaders can also