Maintenance work support system, control method, and non-transitory computer-readable recording medium storing control program
US-2026004258-A1 · Jan 1, 2026 · US
US2025065380A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025065380-A1 |
| Application number | US-202418791445-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 1, 2024 |
| Priority date | Aug 25, 2023 |
| Publication date | Feb 27, 2025 |
| Grant date | — |
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A dry cleaning device adapted to clean a container component of a container of a semiconductor manufacturing process and adapted to clean the container component by carbon dioxide snowflakes. The dry cleaning device can first inspect the container component before and after cleaning, clean the container component by carbon dioxide snowflakes according to a predetermined cleaning working set, and forwards the container component to a next workstation once the cleaning of the container component is complete. The dry cleaning device is adapted to clean a container of a semiconductor manufacturing process in a fast and effective manner without involving any liquid solvents.
Opening claim text (preview).
What is claimed is: 1 . A dry cleaning device, adapted to clean a container component of a container of a semiconductor manufacturing process, the dry cleaning device comprising: a dry cleaning module, adapted to clean the container component by carbon dioxide snowflakes; an inspection module, adapted to inspect the container component to obtain an inspection result; a storage module, adapted to store the container component and a corresponding cleaning working set; a programmable logic controller (PLC), signally connected to the dry cleaning module, the inspection module and the storage module, the PLC adapted to perform steps of: cleaning the container component with carbon dioxide snowflakes by the dry cleaning module according to the cleaning working set; inspecting the container component before the cleaning and after the cleaning by the inspection module to obtain the inspection result; determining a component type of the container component according to the inspection result before the cleaning, selecting a predetermined cleaning procedure corresponding to the component type from the cleaning working set according to the component type, and cleaning the container component by carbon dioxide snowflakes by the dry cleaning module according to the predetermined cleaning procedure; determining, according to the inspection result after the cleaning, whether the cleaning of the container component is complete, and generating a determination result; and selecting a subsequent cleaning procedure corresponding to the inspection result from the cleaning working set according to the determination result, and cleaning the container component by carbon dioxide snowflakes by the dry cleaning module according to the subsequent cleaning procedure, or forwarding the container component to a next workstation. 2 . The dry cleaning device according to claim 1 , wherein the dry cleaning module comprises: a cavity; a cleaning carrier platform, disposed in the cavity, the cleaning carrier platform adapted to hold the container component; a filter, disposed in the cavity, the filter adapted to filter a gas for a clean gas to flow into the cavity; and a dry cleaning nozzle, disposed in the cavity, the dry cleaning nozzle spraying carbon dioxide snowflakes to the container component according to the cleaning working set. 3 . The dry cleaning device according to claim 2 , wherein a plurality of dry cleaning is provided, the plurality of dry cleaning nozzles is arranged at different positions in the cavity, and the dry cleaning nozzles are controllable to rotate in different directions to clean the container component. 4 . The dry cleaning device according to claim 2 , wherein the dry cleaning module further comprises a cleaning movement module, and the PLC controls the cleaning movement module to adjust a relative position relationship between the dry cleaning nozzle and the container component. 5 . The dry cleaning device according to claim 1 , wherein the inspection module comprises: an inspection carrier platform, adapted to carry the container component; an inspection lens, adapted to inspect the container component; and an inspection analyzer, adapted to analyze a condition of the container component after the inspecting to accordingly obtain an inspection result. 6 . The dry cleaning device according to claim 5 , wherein the inspection module further comprises an inspection movement module, and the PLC is for controlling the inspection movement module to adjust a relative position relationship between the inspection lens and the container component. 7 . The dry cleaning device according to claim 1 , wherein the PLC divides a region of the container component into a mesh pattern according to the inspection result before the cleaning and after the cleaning, and labels a contamination type. 8 . The dry cleaning device according to claim 1 , wherein the PLC determines whether the cleaning is complete by comparing a defective substance quantity within a unit area in the inspection result after the cleaning with a predetermined inspection standard. 9 . The dry cleaning device according to claim 1 , wherein the PLC obtains the subsequent cleaning procedure for strengthening regional cleaning from the cleaning working set according to the inspection result after the cleaning. 10 . The dry cleaning device according to claim 1 , wherein the storage module has a plurality of component types of the container component and contamination types, predetermined cleaning procedures and subsequent cleaning procedures in the corresponding cleaning working set stored therein; the PLC determines the component type and the contamination type according to the inspection result before the cleaning or after the cleaning, and selects the predetermined cleaning procedure or subsequent cleaning procedure corresponding to the contamination type. 11 . The dry cleaning device according to claim 1 , wherein the PLC provides feedback and adjusts the cleaning working set in the storage module according to the inspection result, wherein the cleaning working set comprises the predetermined cleaning procedure and the subsequent cleaning procedure. 12 . The dry cleaning device according to claim 11 , wherein the PLC further comprises an artificial intelligence (AI) determination engine for updating the cleaning working set in the storage module according to the inspection result. 13 . The dry cleaning device according to claim 5 , wherein the inspection module further comprises an AI inspection engine, and the inspection result is obtained by processing of the AI inspection engine. 14 . A dry cleaning method, adapted to clean a container of a container of a semiconductor manufacturing process and a container component thereof, the dry cleaning method comprising: inspecting a component type of the container component before cleaning; selecting a predetermined cleaning procedure corresponding to the component type from a cleaning working set according to the component type; cleaning the container component by carbon dioxide snowflakes according to the predetermined cleaning procedure; inspecting a cleaning condition of the container component after the cleaning to obtain an inspection result; determining, according to the inspection result, whether the cleaning of the container component is complete, and generating a determination result; and according to the determination result, if the cleaning of the container component is not complete, selecting a subsequent cleaning procedure corresponding to the inspection result from the cleaning working set and again cleaning the container component by carbon dioxide snowflakes until the cleaning of the container component is complete, and if the cleaning of the container component is complete, forwarding the container component to a next workstation. 15 . The dry cleaning method according to claim 14 , wherein the determining of whether the cleaning of the container component is complete comprises dividing a region of the container component into a mesh pattern by an AI inspection engine, labeling a defective substance quantity of the region, and comparing the defective substance quantity with a predetermined inspection standard to accordingly generate the determination result. 16 . The dry cleaning method according to claim 14 , before the inspecting the component type of the container component before the cleaning, further comprising: storing a plurality of component types of the container component and a contamination type, the predetermined cleaning proce
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