CN111638672A - Automatic control system of industrial machine table - Google Patents
Automatic control system of industrial machine table Download PDFInfo
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- CN111638672A CN111638672A CN202010505782.XA CN202010505782A CN111638672A CN 111638672 A CN111638672 A CN 111638672A CN 202010505782 A CN202010505782 A CN 202010505782A CN 111638672 A CN111638672 A CN 111638672A
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- 238000009776 industrial production Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25257—Microcontroller
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses an automatic control system of an industrial machine. Wherein the system comprises: the industrial machine platform is connected with the control module; the control module is used for acquiring image data of the industrial machine and automatically selecting an operation instruction according to the image data; the control module is further used for sending the operation instruction to the industrial machine to enable the industrial machine control system to control the industrial machine to execute the operation instruction. According to the technical scheme of the embodiment of the invention, the image data of the industrial machine is obtained through the control module, the corresponding operation instruction is selected according to the image data, and then the operation instruction is sent to the industrial machine to control the industrial machine to execute the operation instruction, so that the aim of automatically replacing manual operation by identifying the front-end equipment picture is fulfilled, and various losses caused by manual misoperation are avoided.
Description
Technical Field
The embodiment of the invention relates to the technical field of industrial control, in particular to an automatic control system of an industrial machine.
Background
With the popularization of industrial automation and increasing labor cost, some repeated and fixed operations in industrial application scenes require workers to arrive at the site for near-end operations, are low in efficiency and prone to errors, and cause uncontrollable or unnecessary loss to production.
In order to solve the above problems, it is a common practice in the industry to transmit a plurality of industrial machine screens to a remote computer in a hardware-based fully virtualized system simulator (Keyboard Video Mouse, KVM) acquisition mode in the form of ethernet, WIFI, optical fiber, etc., and perform remote operation by manual operation. However, the method has the problems of incomplete information collection, easy error of manual operation and the like.
Disclosure of Invention
The invention provides an automatic control system of an industrial machine, which aims to realize the purpose of automatically replacing manual operation through front-end equipment picture identification.
The embodiment of the invention provides an automatic control system of an industrial machine, which comprises: the industrial machine platform is connected with the control module;
the control module is used for acquiring image data of the industrial machine and automatically selecting an operation instruction according to the image data;
the control module is further used for sending the operation instruction to the industrial machine to control the industrial machine to execute the operation instruction.
Optionally, the control module includes a signal processing unit, a data acquisition control unit and a storage unit, and the signal processing unit, the data acquisition control unit and the storage unit are respectively connected to the signal processing unit;
the data acquisition control unit is used for acquiring image data of the industrial machine, sending the image data of the industrial machine to the signal processing unit and sending an operation instruction generated by the signal processing unit to the industrial machine;
and the storage unit is used for storing an image recognition algorithm and the automatic control flow of the industrial machine.
Optionally, the control module is configured to obtain image data of an industrial machine, and automatically select an operation instruction according to the image data, including:
the control module receives the image data sent by the data acquisition control unit through the signal processing unit and determines the image characteristics of the image data according to the image recognition algorithm stored in the storage unit;
the control module compares the image characteristics with the image characteristics stored in the storage unit through the signal processing unit, determines the current operation steps of the industrial machine, and automatically selects an operation instruction according to the automatic control flow stored in the storage unit.
Optionally, if a driver is stored in the industrial machine, the driver is configured to acquire image data of the industrial machine, identify image features of the image data, and send the image features identified by the driver to the signal processing unit through the data acquisition control unit;
if the industrial machine platform has no driving program, the data acquisition control unit acquires the image data of the industrial machine platform in a hardware mode and sends the image data of the industrial machine platform to the signal processing unit through the data acquisition control unit.
Optionally, the system further includes a server, a gateway, and a remote operation terminal;
the server is connected with the control module through a gateway and is used for manually and remotely checking and controlling the industrial machine and sending a control instruction to the control module; the number of the remote operation terminals is greater than or equal to 1;
the remote operation terminal is in communication connection with the control module through the gateway and is used for generating a control instruction according to the image data of the industrial machine and sending the control instruction to the signal processing unit;
the control module also comprises a communication unit used for sending the processing result of the signal processing unit to a server.
Optionally, the signal processing module is further configured to receive the operation state data of the industrial machine sent by the data acquisition control unit, and compare the operation state data with the operation state model stored in the storage unit;
if the comparison result is that manual intervention is needed, the signal processing unit sends the image data of the industrial machine to the server in real time through the communication unit connection gateway so that the server can select a corresponding remote operation terminal and send the image data of the industrial machine to the remote terminal equipment;
and the signal processing module receives a control instruction sent by a remote operation terminal and sends the control instruction to the industrial machine through the data acquisition control unit for remote control.
Optionally, the control module further includes an edge calculation unit;
the edge calculation unit comprises at least one edge calculation module which is connected with the signal processing unit and used for analyzing the operation condition of the industrial machine.
Optionally, the system further comprises an external sensor;
the external sensor is connected with the control module and used for sending the acquired state data of the industrial machine to the control module.
Optionally, the control module further comprises an alarm unit;
the alarm unit comprises a sound alarm subunit and an optical signal alarm subunit, and is connected with the signal processing unit and used for prompting the current running state of the industrial machine.
Optionally, the data acquisition control system sends the state data acquired by the external sensor to the signal processing unit;
the signal processing unit sends the state data to the edge operation module according to the type of the state data;
and the edge calculation module determines the operation condition of the industrial machine through an early warning analysis algorithm stored in the storage list and controls the alarm unit to display according to the operation condition of the industrial machine.
The invention provides an industrial machine control system which comprises an industrial machine and a control module, wherein the industrial machine is connected with the control module, the control module is used for acquiring image data of the industrial machine, generating an operation instruction according to the image data and further sending the operation instruction to the industrial machine so that the industrial machine can automatically execute the operation instruction.
Drawings
FIG. 1 is a schematic diagram of an automatic control system for an industrial machine according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a control module according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another automatic control system for an industrial machine according to an embodiment of the present invention.
In the figure:
10-an industrial machine; 20-a control module; 30-a server; 40-a gateway; 50-a remote operation terminal; 60-external state sensor; 70-electronic billboard;
21-a signal processing unit; 211-AI image processor; 212 — a main processor; 22-a data acquisition control unit; 23-a storage unit; 24-a communication unit; 25-EDGE EDGE calculation unit; 26-an alarm unit; 27-a power supply unit.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a schematic structural diagram of an automatic control system of an industrial machine 10 according to an embodiment of the present invention, where the system includes the industrial machine 10 and a control module 20, and the industrial machine 10 is connected to the control module 20;
the control module 20 is configured to obtain image data of the industrial machine 10, and automatically select an operation instruction according to the image data;
the control module 20 is further configured to send the operation instruction to the industrial machine 10, so as to control the industrial machine 10 to execute the operation instruction.
The industrial machine 10 is various industrial devices used in industrial production, such as a Programmable Logic Controller (PLC), an embedded industrial board, an industrial host, an industrial all-in-one machine, an injection molding machine, and a stamping machine. The industrial machine 10 is provided with a Universal Serial Bus (USB), an ethernet, a Serial Communication interface (RS232, RS485, and RS422), a General interface Bus (GPIB), a Controller Area Network (Controller Area Network, CAN), a switching value channel (DI/DO), a Peripheral Component Interconnect (PCI), a Control and Communication Link system (CC-Link), an Analog Output signal, and the like.
Further referring to fig. 2, the control module 20 further includes a signal processing unit 21, a data acquisition control unit 22 and a storage unit 23, wherein the signal processing unit 21, the data acquisition control unit 22 and the storage unit 23 are respectively connected to the signal processing unit 21;
the signal processing unit 21 includes a main processor 212 and an Artificial Intelligence (AI) image processor, wherein the main processor 212 is mainly used for sensor data analysis and equipment health prediction, and the AI image processor is mainly responsible for image analysis and identification.
The data acquisition control unit 22 includes a USB, an RS232, an RS485, a CAN, a PCI, an ADC, an ethernet, an IO input signal acquisition module, and the like, and is configured to acquire image data of the industrial machine and send the image data of the industrial machine 10 to the signal processing unit 21, and send an operation instruction generated by the signal processing unit 21 to the industrial machine 10.
The storage unit 23 includes a Random Access Memory (RAM) and a Read-Only Memory (ROM), and is configured to store an image recognition algorithm and an automatic control process of the industrial machine 10, and also store and exchange data such as system data and a database. The image recognition algorithm is an AI algorithm model preset in the storage unit 23, and a user can customize the AI model according to an actual use scene and a use requirement, so that the flexibility and the practicability of the control system are improved.
Specifically, the control module 20 is configured to obtain image data of the industrial machine 10, and automatically select an operation instruction according to the image data, including:
the control module 20 receives the image data sent by the data acquisition control unit 22 through the signal processing unit 21, and determines the image characteristics of the image data according to the image recognition algorithm stored in the storage unit 23;
the control module 20 compares the image characteristics with the image characteristics stored in the storage unit 23 through the signal processing unit 21, determines the current operation steps of the industrial machine 10, and automatically selects an operation instruction according to the automatic control flow stored in the storage unit 23.
In this embodiment, the industrial machine 10 may be a PC-type industrial device, such as a desktop computer, a notebook computer, etc.; the industrial machine 10 may also be a non-PC industrial device, such as a PLC, an embedded industrial board, and the like.
As an alternative embodiment, the automatic control of the industrial machine 10 may be implemented by installing a driver in the industrial machine 10 in advance.
Specifically, a driver is stored in the industrial machine 10, and the driver is configured to acquire image data of the industrial machine 10, identify image characteristics of the image data, and send the image characteristics identified by the driver to the signal processing unit 21 through the data acquisition control unit 22. Further, the signal processing unit 21 determines the corresponding operation to be performed next by combining with the automatic control flow in the storage unit 23, automatically selects the corresponding operation instruction, and sends the operation instruction to the driver in the industrial machine 10 for automatic control.
As another alternative, if the driver cannot be preset in the industrial machine 10 in advance, the automatic control process of the industrial machine 10 may be implemented by simulating external hardware. For example, operations such as data acquisition can be performed by simulating functions of hardware devices such as a keyboard and a mouse. Specifically, the data acquisition control unit 22 acquires image data of the industrial machine by a hardware manner, and transmits the image data of the industrial machine 10 to the signal processing unit 21, the signal processing unit 21 allocates the image data acquired by the data acquisition control unit 22 to the AI image processor 211 or the main processor 212, performs image recognition by combining an image recognition algorithm stored in the storage unit 23 to acquire an image recognition feature, and further determines which step the current operation is performed according to comparison between the image recognition feature and a picture feature stored in the storage unit 23, and further determines a corresponding operation to be performed in the next step by combining an automatic control flow stored in the storage unit 23, and automatically selects a corresponding operation instruction and transmits the operation instruction to the industrial machine 10 through the data acquisition control unit 22 for automatic control.
According to the technical scheme provided by the embodiment of the invention, the image data of the industrial machine 10 is obtained through the control module 20, the operation instruction is automatically selected according to the image data, and then the operation instruction is sent to the industrial machine 10 to control the industrial machine 10 to automatically execute the operation instruction.
On the basis of the above embodiment, the system further includes a server 30, a gateway 40, and a remote operation terminal 50;
the server 30 is connected to the control module 20 through a gateway 40, and is configured to receive the image data of the industrial machine 10 sent by the signal processing unit 21, and send the image data of the industrial machine 10 to a remote operation terminal 50;
the remote operation terminal 50 is connected with the control module 20 through the gateway 40, and is used for manually and remotely checking and controlling the industrial machine, and sending a control instruction to the control module, that is, a related operator can send the control instruction to the control module 20 through the remote operation terminal 50 to control the industrial machine, the number of the remote operation terminals is more than or equal to 1, and the system can support 1 or more remote operation terminal devices to be used simultaneously. The control module 20 further includes a communication unit 24 for transmitting the processing result of the signal processing unit 21 to the server 30.
Further, the signal processing module is further configured to receive the operation state data of the industrial machine 10 sent by the data acquisition control unit 22, and compare the operation state data with the operation state model stored in the storage unit 23;
if the comparison result indicates that manual intervention is required, the signal processing unit 21 connects the gateway 40 through the communication unit 24 to send the image data of the industrial machine 10 to the server 30 in real time, so that the server 30 selects a corresponding remote operation terminal 50 and sends the image data of the industrial machine 10 to the remote terminal device;
the signal processing module receives a control instruction sent by the remote operation terminal 50, and sends the control instruction to the industrial machine 10 through the data acquisition control unit 22 for remote control.
In this embodiment, when the abnormality of the industrial machine 10 is detected according to the operation state of the industrial machine 10, a manual intervention is required for correction, and the image data is fed back to the remote terminal device, and a professional operator at the remote operation terminal 50 issues a control instruction, so that an automatic dispatching is implemented to solve the current problem of the industrial machine 10.
Specifically, as an optional implementation manner, if a driver is installed in the industrial machine 10 in advance, the driver installed in the industrial machine 10 in advance is used to capture image data of the industrial machine 10 and analyze feature data of the image data, the data acquisition control unit 22 is used to send the identified image feature to the signal processing unit 21, the signal processing unit 21 is used to compare with the image feature stored in the storage unit 23, and further determine whether manual intervention is needed, if manual intervention is needed, the signal processing unit 21 informs the driver inside the industrial machine 10 to send real-time image data through the data acquisition control unit 22, and the real-time image data of the industrial machine 10 is sent to the signal processing unit 21 through the data acquisition control unit 22. Further, the signal processing unit 21 is connected to the gateway 40 through the communication unit 24 to transmit the real-time image data of the industrial machine 10 to the server 30. When receiving the real-time image data, the server 30 automatically allocates a task to a certain remote operation terminal 50 according to the load condition of the remote operation terminal 50, so that an operator of the remote operation terminal 50 performs corresponding operation according to the real-time image data, thereby generating a corresponding control instruction. The control instruction is sent to the communication unit 24 by a driver previously built in the remote operation terminal 50 through the gateway 40, the communication unit 24 transmits the operation instruction to the signal processing unit 21, and the signal processing unit 21 sends the control instruction to a driver pre-installed inside the industrial machine 10 through the data acquisition control unit 22, so that remote control is realized through the driver inside the industrial machine 10.
As another optional implementation, if the driver cannot be preset in the industrial machine 10, the industrial machine 10 sends the image data of the industrial machine 10 to the signal processing unit 21 through the data acquisition control unit 22, the signal processing unit 21 allocates the image data to the AI image processor 211 or the processor, and performs image feature recognition for the feature algorithm stored in the storage unit 23, and further determines whether manual intervention is needed according to comparison of the image features stored in the recognized image feature storage unit 23, if manual intervention is needed, the signal processing unit 21 connects the gateway 40 through the communication unit 24 to send the real-time image data of the industrial machine 10 to the server 30, the server 30 automatically allocates a task to a certain remote operation terminal 50 according to the load condition of the remote operation terminal 50, so that an operator of the remote operation terminal 50 performs corresponding operation according to the image data, and generates a corresponding control instruction, the control instruction is transmitted to the signal processing unit 21 through the communication unit 24, and the signal processing unit 21 sends the control instruction to the industrial machine 10 through the data acquisition control unit 22 for remote control.
According to the technical scheme of the embodiment, abnormal problems occurring in the operation process of the industrial machine 10 can be summarized and fed back in the above mode, professional operators at the remote operation terminal 50 can process the abnormal problems uniformly, and the labor cost for maintaining the industrial machine 10 is greatly saved.
The control module 20 further includes an EDGE computing unit 25, where the EDGE computing unit 25 includes at least one EDGE computing module, connected to the signal processing unit 21, and configured to analyze an operation status of the industrial machine 10.
The system further comprises an external sensor, wherein the external sensor is connected with the control module 20 and used for sending the acquired state data of the industrial machine table 10 to the control module 20. The external sensors include various sensors such as a temperature sensor, a humidity sensor, a pressure sensor, a flow sensor, a voltage sensor, a current sensor, a power sensor and a rotation speed sensor, and the types of the external sensors can be selected according to the industrial machine 10 in practical application.
The control module 20 further comprises an alarm unit 26; the alarm unit 26 includes a sound alarm subunit and an optical signal alarm subunit, and the alarm unit 26 is connected to the signal processing unit 21 and is configured to prompt the current operating status of the industrial machine 10.
Further, the data acquisition control system sends the state data acquired by the external sensor to the signal processing unit 21;
the signal processing unit 21 sends the state data to the edge operation module according to the type of the state data;
the edge calculation module determines the operation status of the industrial machine 10 through an early warning analysis algorithm stored in the storage list, and controls the alarm unit 26 to display according to the operation status of the industrial machine 10.
Optionally, the system further includes an electronic billboard 70, where the electronic billboard 70 is connected to the intelligent operation-replacing module through a gateway 40, and is configured to display the working state information of the industrial machine 10 in real time.
The system further comprises a power supply unit 27, said power supply unit 27 comprising a micro battery and/or a power interface for connection to an external power source for powering the whole system as well as external sensors.
Further, the early warning analysis process of the control system is as follows: the data of the industrial machine 10 and/or the external state sensor 60 are transmitted to the signal processing unit 21 through the data acquisition control unit 22, the signal processing unit 21 classifies the received data according to the type of the data, further, the classified data is distributed to the edge calculation unit or the main processor 212, and the analysis of the health analysis trend of the equipment is performed by combining with the algorithm program preset in the storage unit 23 in advance, when the data of the industrial machine 10 and/or the external status sensor 60 is found to be degraded, then, when the time reaching the failure point is predicted through degradation trend analysis and is less than or equal to the time length set by the user, the connection gateway 40 transmits alarm information to the remote operation terminal 50 and the server 30 through the communication unit 24, and sends the real-time status to the electronic billboard 70 while activating the alarm unit 26 to prompt the user to schedule maintenance or service work as soon as possible.
The technical scheme provided by the embodiment directly aims at the industrial machine 10, and improves the real-time performance of data acquisition control and the operation efficiency of the system; in addition, the control system in the embodiment of the application supports a user-defined AI model, various prediction models and an operation identification model, realizes real edge operation and few-person or unmanned operation, greatly reduces the data communication bandwidth, reduces the network pressure of enterprises, reduces the purchase cost of the server 30 and reduces considerable construction cost for enterprises.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. An automatic control system for an industrial machine, the system comprising: the industrial machine platform is connected with the control module;
the control module is used for acquiring image data of the industrial machine and automatically selecting an operation instruction according to the image data;
the control module is further used for sending the operation instruction to the industrial machine to control the industrial machine to execute the operation instruction.
2. The system of claim 1, wherein the control module comprises a signal processing unit, a data acquisition control unit and a storage unit, and the signal processing unit, the data acquisition control unit and the storage unit are respectively connected with the signal processing unit;
the data acquisition control unit is used for acquiring image data of the industrial machine, sending the image data of the industrial machine to the signal processing unit and sending an operation instruction generated by the signal processing unit to the industrial machine;
and the storage unit is used for storing an image recognition algorithm and the automatic control flow of the industrial machine.
3. The system of claim 2, wherein the control module is configured to obtain image data of the industrial tool and automatically select the operation command according to the image data comprises:
the control module receives the image data sent by the data acquisition control unit through the signal processing unit and determines the image characteristics of the image data according to the image recognition algorithm stored in the storage unit;
the control module compares the image characteristics with the image characteristics stored in the storage unit through the signal processing unit, determines the current operation steps of the industrial machine, and automatically selects an operation instruction according to the automatic control flow stored in the storage unit.
4. The system according to any one of claims 1-3, wherein:
if the industrial machine is stored with a driving program, the driving program is used for acquiring the image data of the industrial machine and identifying the image characteristics of the image data, and the image characteristics identified by the driving program are sent to the signal processing unit through the data acquisition control unit;
if the industrial machine platform has no driving program, the data acquisition control unit acquires the image data of the industrial machine platform in a hardware mode and sends the image data of the industrial machine platform to the signal processing unit through the data acquisition control unit.
5. The system of claim 2, further comprising a server, a gateway, and a remote operation terminal;
the server is connected with the control module through a gateway and is used for receiving the image data of the industrial machine sent by the signal processing unit and sending the image data of the industrial machine to a remote operation terminal;
the remote operation terminal is connected with the control module through the gateway and is used for manually and remotely checking and controlling the industrial machine and sending a control instruction to the control module; the number of the remote operation terminals is greater than or equal to 1;
the control module also comprises a communication unit used for sending the processing result of the signal processing unit to a server.
6. The system of claim 5, wherein the signal processing module is further configured to receive the operation state data of the industrial machine sent by the data acquisition control unit, and compare the operation state data with the operation state model stored in the storage unit;
if the comparison result is that manual intervention is needed, the signal processing unit sends the image data of the industrial machine to the server in real time through the communication unit connection gateway so that the server can select a corresponding remote operation terminal and send the image data of the industrial machine to the remote terminal equipment;
and the signal processing module receives a control instruction sent by a remote operation terminal and sends the control instruction to the industrial machine through the data acquisition control unit for remote control.
7. The system of claim 2, wherein the control module further comprises an edge calculation unit;
the edge calculation unit comprises at least one edge calculation module which is connected with the signal processing unit and used for analyzing the operation condition of the industrial machine.
8. The system of claim 1, further comprising an off-board sensor;
the external sensor is connected with the control module and used for sending the acquired state data of the industrial machine to the control module.
9. The system of claim 1, wherein the control module further comprises an alarm unit;
the alarm unit comprises a sound alarm subunit and an optical signal alarm subunit, and is connected with the signal processing unit and used for prompting the current running state of the industrial machine.
10. The system according to any one of claims 7-9, wherein the data acquisition control system transmits status data acquired by the external sensor to the signal processing unit;
the signal processing unit sends the state data to the edge operation module according to the type of the state data;
and the edge calculation module determines the operation condition of the industrial machine through an early warning analysis algorithm stored in the storage list and controls the alarm unit to display according to the operation condition of the industrial machine.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112927170A (en) * | 2021-04-08 | 2021-06-08 | 上海哥瑞利软件股份有限公司 | Automatic defect removal method in semiconductor manufacturing process |
| CN114326507A (en) * | 2021-12-29 | 2022-04-12 | 苏州赛美特科技有限公司 | Machine control method and device, electronic equipment and computer readable storage medium |
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