G05B19/05

Facility diagnosis method using facility diagnosis system
11774934 · 2023-10-03 · ·

The present invention relates to an equipment diagnosis method using equipment diagnosis system comprising: an imaging module (110) for collecting image data by photographing the equipment having an equipment controller, in which a PLC is loaded, embedded therein; a diagnostic module (120) including hardware having software for diagnosing whether the equipment is normal or abnormal; and a plurality of IoT sensor units (130) for monitoring an object to be monitored, and thus a user can quickly diagnose, identify, and cope with a specific cause of an equipment failure on the basis of objective data provided from a PLC memory area, and image file, and an IOT sensor unit at the occurrence of various types of events generated by a diagnostic module for each condition designated by the user according to the state of equipment.

Control code generation and collaboration using active machine learning

A control code collaboration system automatically generates control code for an industrial project based on text discovered within the design documents. The system allows a designer to highlight text within a text-based design document representing an interlock definition, step sequence definition, tag name, or other aspects of the design description. The system then allows the user to link annotations to the highlighted text, the annotations representing interlock programming, sequence programming, or controller tag names. The system then searches the document for similarly formatted text, which are assumed to represent descriptions of similar control aspects, and infers suitable control programming from these discovered pieces of text using the previously provided annotations as a guide. In this way, the system uses text pattern recognition generates suggestions as to how to program portions of the design description based on control logic examples provided by the user.

SMART POWER SYSTEM
20230283084 · 2023-09-07 ·

A smart power system is described. In one or more implementations, the smart power system comprises a microcontroller and a power converter electrically connected to the microcontroller and is configured to convert electrical energy from one form to another. The system also includes a switch element electrically connected to the microcontroller and configured to control distribution of the converted electrical energy to an electrical load. A sense element is electrically connected to the electrical load and to the microcontroller and is configured to monitor the converted electrical energy distributed to the electrical load and to furnish a feedback signal based upon the converted electrical energy. The microcontroller is configured to verify and to monitor the power converter, as well as to control and to monitor distribution of the converted electrical energy to the electrical load based upon the feedback signal.

DC/DC converter and control thereof

A DC/DC converter system includes a bidirectional DC/DC converter converting between voltage levels at first and second ports and a control system for controlling the DC/DC converter. The bidirectional DC/DC converter includes a first conversion stage connected to the first port and a second conversion stage interfaced with the first conversion stage and connected to the second port. The control system includes outer and inner control loops. The outer control loop compares a command for one of a voltage level, a current level or power at one of the first and second ports to an actual value of voltage level, current level or power level and outputs an interface current command based on the comparison. The inner control loop compares the interface current command to an actual interface current at an interface of the first and second conversion stages, and controls a switching signal duty value based on the comparison.

DC/DC converter and control thereof

A DC/DC converter system includes a bidirectional DC/DC converter converting between voltage levels at first and second ports and a control system for controlling the DC/DC converter. The bidirectional DC/DC converter includes a first conversion stage connected to the first port and a second conversion stage interfaced with the first conversion stage and connected to the second port. The control system includes outer and inner control loops. The outer control loop compares a command for one of a voltage level, a current level or power at one of the first and second ports to an actual value of voltage level, current level or power level and outputs an interface current command based on the comparison. The inner control loop compares the interface current command to an actual interface current at an interface of the first and second conversion stages, and controls a switching signal duty value based on the comparison.

Distributed software-defined industrial systems

Various systems and methods for implementing a software defined industrial system are described herein. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. In response to a node failing, a module may be redeployed to a replacement node. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device and use a module manifest to generate a control system application. For example, an edge control node of the industrial system may include a system on a chip including a microcontroller (MCU) to convert IO data. The system on a chip includes a central processing unit (CPU) in an initial inactive state, which may be changed to an activated state in response an activation signal.

METHOD AND APPARATUS FOR CONFIGURING AN INDUSTRIAL CONTROL APPARATUS

A method for configuring an industrial control apparatus, the method including: starting a detection mode; selecting a stock control apparatus; opening a stock configuration of the stock control apparatus; selecting and buffer-storing at least one feature of the stock configuration; starting a transfer mode; selecting at least one target control apparatus; and transferring the at least one selected and buffer-stored feature of the stock configuration to the target control apparatus.

Edge computing device with artificial intelligence model for emulating control logic of a programmable logic controller
11754990 · 2023-09-12 · ·

An edge computing device is provided that includes a plurality of input electrodes that are communicatively coupled to one or more communication channels of a programmable logic controller that implements control logic to control a controlled device. The edge computing device furthers include a processor configured to, at a training time, receive signals via the plurality of input electrodes, detect inputs to the one or more communication channels and outputs from the one or more communication channels of the programmable logic controller, generate a set of training data based on the detected inputs and outputs of the programmable logic controller, and train an artificial intelligence model using the generated set of training data. The processor is further configured to, at a run-time, emulate the control logic of the programmable logic controller using the trained artificial intelligence model.

Edge computing device with artificial intelligence model for emulating control logic of a programmable logic controller
11754990 · 2023-09-12 · ·

An edge computing device is provided that includes a plurality of input electrodes that are communicatively coupled to one or more communication channels of a programmable logic controller that implements control logic to control a controlled device. The edge computing device furthers include a processor configured to, at a training time, receive signals via the plurality of input electrodes, detect inputs to the one or more communication channels and outputs from the one or more communication channels of the programmable logic controller, generate a set of training data based on the detected inputs and outputs of the programmable logic controller, and train an artificial intelligence model using the generated set of training data. The processor is further configured to, at a run-time, emulate the control logic of the programmable logic controller using the trained artificial intelligence model.

Control system, support device, and recording medium
11640153 · 2023-05-02 · ·

A control system, a support device, and a recording medium are provided. This control device includes a storage unit which stores native code generated from a first user program that includes a sequence program, and a calculation processing unit which executes the native code stored in the storage unit. A display device of the present invention includes: a storage unit which stores sequence circuit information that is generated from the first user program and defines a circuit configuration of the sequence program; and a monitor functioning unit which acquires, from the control device, a circuit output state that indicates the execution state of the native code, and visualizes the execution state of the sequence program in the control device on the basis of the acquired circuit output state and the sequence circuit information.