An Integrated pneumatic control device including artificial intelligence control unit

Abstract

The present invention improves upon the existing structure where pneumatic control devices were positioned on the front of the actuator and their respective components were connected by stainless steel tubes, thereby creating an integrated unit that houses all components and functions of each pneumatic control device within a single sealed enclosure. Furthermore, by incorporating an integrated control system composed of an electronic pressure sensor, flow sensor, position sensor, electronic movement, and AI processor based on artificial intelligence control, it provides accuracy, reliability, and convenience in the operation of the actuator. Additionally, within a range that does not interfere with the actuator's operation, it maximizes the reliability of actuator operation by setting the optimal timing, frequency, and range of movement for partial stroke test drives based on historical data, reflecting weights and reduction values ​​for normal operation status and duration information as well as abnormal operation status and duration information. Moreover, based on information from an electronic sensor that detects pressure and flow in the downstream piping network in real time, it detects abnormal changes in the pressure and flow in the downstream piping network and [regarding] the actuator linked thereto The present invention relates to an integrated pneumatic control device comprising an artificial intelligence control unit capable of rapidly and accurately blocking or minimizing fluid discharge in abnormal situations through control.

Description

Technology Field

[0001] The present invention improves upon the existing structure where pneumatic control devices were positioned on the front of the actuator and their respective components were connected by stainless steel tubes, thereby creating an integrated unit that houses all components and functions of each pneumatic control device within a single sealed enclosure. Furthermore, by incorporating an integrated control system composed of an electronic pressure sensor, flow sensor, position sensor, electronic movement, and AI processor based on artificial intelligence control, it provides accuracy, reliability, and convenience in the operation of the actuator. Additionally, within a range that does not interfere with the actuator's operation, it maximizes the reliability of actuator operation by setting the optimal timing, frequency, and range of movement for partial stroke test drives based on historical data, reflecting weights and reduction values ​​for normal operation status and duration information as well as abnormal operation status and duration information. Moreover, based on information from an electronic sensor that detects pressure and flow in the downstream piping network in real time, it detects abnormal changes in the pressure and flow in the downstream piping network and [regarding] the actuator linked thereto The present invention relates to an integrated pneumatic control device comprising an artificial intelligence control unit capable of rapidly and accurately blocking or minimizing fluid discharge in abnormal situations through control. Background Technology

[0002] A pneumatic actuator is a device that converts the energy of compressed air (air pressure) into mechanical motion (linear or rotational) to automatically open, close, or regulate final control elements such as valves and dampers. Commonly referred to as pneumatic cylinders or air cylinders, the most common method involves compressed air entering a cylinder and pushing a piston to create movement, and it is widely used in automation control systems.

[0003] Looking at the operating principle of a pneumatic actuator, (1) air injection: compressed air is injected into the chamber inside the actuator, (2) pressure formation: when the injected air pressure creates a difference from atmospheric pressure, (3) motion conversion: due to this pressure difference, the piston or gear moves to generate linear or rotational motion, and (4) control: using this movement, the valve stem or disc is pushed to perform tasks such as opening or closing the valve.

[0004] Generally, as shown in [Fig. 1], the control device of a pneumatic actuator is configured to operate / control the actuator by supplying compressed air to the actuator's cylinder through a filter / regulator that regulates pressure or filters out foreign substances or moisture / foreign substances, a pressure gauge that displays pressure, a solenoid valve that receives a remote electrical signal (24V DC) to open or close the air passage, a smart positioner that receives an analog electrical signal (4~20mA DC) or a digital electrical signal such as HART, FOUNDATION FIELDBUS, etc., to regulate the closed / open state of the actuator or provide a partial opening function, a flow control valve that regulates the opening / closing operating speed of the actuator, and a rapid exhaust valve that rapidly discharges air from the cylinder to cause the actuator to close or open at a rapid speed. That is, as shown in [Fig. 2], the limit switch and smart positioner are positioned on the upper part of the actuator's Scotch yoke mechanism, and the remaining pneumatic control devices are positioned on the front of the actuator. Each component is connected by a stainless steel tube to supply compressed air to the actuator cylinder to perform opening / closing or intermediate positioning.

[0005] However, these current pneumatic control devices are composed of various components, and if any one of the control elements fails or the tube connection is faulty, it causes a serious impact on the overall operation of the actuator, resulting in the loss of the function to urgently shut off or open the valve in the event of an emergency, such as a leak in the natural gas or oil pipeline, a fire, or the occurrence of abnormal pressure.

[0006] <Patent Literature>

[0007] Korean Registered Patent No. 10-2376322 (Published March 18, 2022) "Means for precise control of pneumatic actuator"

[0008] In the case of the prior art disclosed in the aforementioned <Patent Document>, it relates to a means for precise control of a pneumatic actuator, and more specifically, to an algorithm capable of precisely controlling pneumatic pressure, which enables stable control equivalent to that of an incompressible fluid even when a pneumatic actuator is applied to test equipment through precise and stable feedback control of displacement and force. However, no problem recognition or problem-solving principle is disclosed regarding the application of artificial intelligence (AI) technology or structural improvement of the control device. The problem to be solved

[0009] The present invention has been devised to solve the above-mentioned problems,

[0010] The objective of the present invention is to provide an integrated pneumatic control device that includes an artificial intelligence control unit capable of providing accuracy, reliability, and convenience in the operation of an actuator by improving the structure in which existing pneumatic control devices are placed on the front of an actuator and each component is connected by a stainless steel tube, thereby improving it into an integrated type that accommodates all components and functions of each pneumatic control device in a single sealed container, and also by having an integrated control system composed of an electronic pressure sensor, a flow sensor, a position sensor, an electronic movement, and an artificial intelligence processor based on artificial intelligence control.

[0011] Another objective of the present invention is to provide an integrated pneumatic control device including an artificial intelligence control unit that enables significant reduction in installation and operation costs by simplifying control through a single artificial intelligence control unit while placing control components within a single enclosed enclosure.

[0012] Another objective of the present invention is to provide an integrated pneumatic control device including an artificial intelligence control unit that can monitor the control status of an actuator (air pressure, temperature, opening / closing position, operating time, etc.) in real time via remote control settings of the artificial intelligence control unit, either remotely or on-site, and can increase operational reliability by storing, updating, and utilizing the control data.

[0013] Another objective of the present invention is to provide an integrated pneumatic control device including an artificial intelligence control unit that maximizes the reliability of actuator operation by setting the optimal timing, number of times, and range of movement of test drives based on past history data when performing partial stroke test drives of the actuator without hindering the operation process of the actuator. This is achieved by reflecting weights / reduction values ​​for normal operating state and period information and abnormal state and period information.

[0014] Another objective of the present invention is to provide an integrated pneumatic control device comprising an artificial intelligence control unit capable of rapidly and accurately blocking or minimizing fluid discharge in abnormal situations by detecting abnormal changes in pressure and flow rate flowing in a downstream piping network based on information obtained through an electronic sensor that detects pressure and flow rate flowing in a downstream piping network in real time, and controlling an actuator linked thereto. means of solving the problem

[0015] The present invention is implemented by an embodiment having the following configuration to achieve the aforementioned objective.

[0016] According to one embodiment of the present invention, an integrated pneumatic control device including an artificial intelligence control unit according to the present invention comprises: an integrated control box in which pneumatic control-related devices for operating a pneumatic actuator are accommodated within a single space; and an artificial intelligence control unit for collective control of pneumatic control-related devices for operating a pneumatic actuator; wherein the devices accommodated within the space of the integrated control box include a filter / regulator for regulating pressure or filtering foreign substances or moisture, a pressure sensor for indicating pressure, a flow sensor for indicating flow rate, a flow control valve for regulating the operating speed of the actuator, an electronic movement for regulating the operation of the actuator by receiving an electrical signal, and an artificial intelligence processor for generating a control signal of the actuator based on information input in real time.

[0017] According to another embodiment of the present invention, the integrated pneumatic control device according to the present invention is characterized in that a position sensor for detecting the position of a pneumatic actuator is separately placed on the upper part of the Scotch yoke of the actuator, and the artificial intelligence control unit controls the pressure and flow rate and controls the actuator based on the opening position information of the actuator provided in real time through the position sensor and the signal of the artificial intelligence processor.

[0018] According to another embodiment of the present invention, the artificial intelligence control unit of the present invention is characterized by comprising: an actuator control module that performs control of the opening / closing or degree of opening of the actuator based on information provided in real time from the position sensor, the pressure sensor, and the flow sensor; and an actuator reliability operation module that maximizes the reliability of actuator operation by driving a partial stroke test of the actuator based on historical data within a range that does not impede the operation process of the actuator.

[0019] According to another embodiment of the present invention, the actuator control module of the present invention is characterized by comprising: a first control module that controls the electronic movement based on a control signal transmitted remotely and information provided in real time from the pressure sensor and the flow sensor to control the opening / closing or degree of opening of the actuator; a second control module that controls the electronic movement based on an emergency control signal in an emergency or abnormal situation to perform an emergency shutdown of the actuator; and a third control module that sets the operating time of the actuator through pressure control via the filter / regulator or flow control via the flow control valve.

[0020] According to another embodiment of the present invention, the actuator reliability operation module of the present invention comprises: a first grouping module that groups information regarding specifications, status, and duration of the normal operation process of an actuator based on historical data related to actuator operation; a second grouping module that groups information regarding specifications, status, and duration of the abnormal state occurrence process of an actuator based on historical data related to actuator operation; a first analysis module that assigns a first weighted correction value to information regarding the state and duration where no abnormal state occurred in the second grouping module among the information regarding the state and duration where normal operation occurred in the first grouping module for pipes and actuators of the same specifications based on the grouped data of the first grouping module and the second grouping module; and, among the information regarding the state and duration where normal operation occurred in the first grouping module for pipes and actuators of the same specifications based on the grouped data of the first grouping module and the second grouping module, in the second grouping module It is characterized by including a second analysis module that assigns a second reduction correction value to information regarding the state and period in which an abnormal state occurs, a first setting module that sets the timing and number of partial stroke test drives for a target actuator based on the information of the first analysis module and the second analysis module, a second setting module that sets the range of movement driven for each timing and number of partial stroke test drives for a target actuator based on the information of the first analysis module and the second analysis module, and a reliability operation feedback module that updates and feeds back target actuator state information after partial stroke test drives based on the setting values ​​of the first setting module and the second setting module.

[0021] According to another embodiment of the present invention, the integrated pneumatic control device according to the present invention is characterized in that an electronic sensor is separately disposed downstream of a remote control valve equipped with a pneumatic actuator to detect pressure and flow rate flowing in a piping network in real time, and the artificial intelligence control unit further includes a downstream state linkage control module that detects abnormal changes in pressure and flow rate flowing in the piping network downstream based on information from the electronic sensor and performs control of an actuator linked thereto.

[0022] According to another embodiment of the present invention, the downstream state interlocking control module in the present invention comprises: a work analysis module that analyzes information regarding the presence or absence of a planned task that causes a change in fluid flow in the downstream pipeline network, the type of the planned task, and the amount of change therefrom; a third grouping module that groups information regarding the amplitude, duration, and correlation of fluid flow changes by situation based on historical data of fluid flow changes occurring in the downstream pipeline network; a third analysis module that analyzes whether an abnormal situation exists based on the correlation between whether the threshold of the fluid flow change is exceeded and the duration of the fluid flow change, based on information from the third grouping module, when an abnormal change in pressure and flow rate flowing in the downstream pipeline network is detected based on information from the electronic sensor in a state where there is no planned task in the information provided by the work analysis module; and when the change in pressure and flow rate flowing in the downstream pipeline network exceeds the amount of change according to the planned task based on information from the electronic sensor in a state where there is a planned task in the information provided by the work analysis module, the change amount information from the work analysis module and the third grouping module It is characterized by including a fourth analysis module that analyzes whether an abnormal situation exists based on information and the correlation between whether a threshold for fluid flow change is exceeded and the persistence of fluid flow change; a third setting module that closes a remote control valve by controlling an actuator when an emergency shutdown is required for each abnormal situation based on information from the third analysis module and the fourth analysis module; and a fourth setting module that sets the degree of opening of a remote control valve by controlling an actuator when fluid flow control to a downstream piping network is required for each abnormal situation based on information from the third analysis module and the fourth analysis module. Effects of the invention

[0023] The present invention can achieve the following effects through the combination and usage relationship of the embodiments described above and the configuration described below.

[0024] The present invention improves the structure in which pneumatic control devices are placed on the front of the actuator and each component is connected by a stainless steel tube, thereby improving it into an integrated type that accommodates all components and functions of each pneumatic control device in a single sealed container. Furthermore, by providing an integrated control system composed of an electronic pressure sensor, a flow sensor, a position sensor, an electronic movement, and an artificial intelligence processor based on artificial intelligence control, it has the effect of providing accuracy, reliability, and convenience in the operation of the actuator.

[0025] The present invention has the effect of significantly reducing installation and operating costs by simplifying control through a single artificial intelligence control unit while arranging control components within a single sealed enclosure.

[0026] The present invention has the effect of enabling real-time monitoring of the control status of an actuator (air pressure, temperature, opening / closing position, operating time, etc.) via remote control settings of an artificial intelligence control unit, either remotely or on-site, and increasing operational reliability through the storage, updating, and utilization of the control data.

[0027] The present invention has the effect of maximizing the reliability of actuator operation by setting the optimal timing, number of times, and range of movement for test drives based on past history data in a partial stroke test drive of an actuator without hindering the operation process of the actuator.

[0028] The present invention has the effect of quickly and accurately blocking or minimizing fluid discharge in abnormal situations by detecting abnormal changes in pressure and flow rate flowing in a downstream pipeline network based on information from an electronic sensor that detects pressure and flow rate flowing in a downstream pipeline network in real time, and controlling an actuator linked thereto. Brief explanation of the drawing

[0029] Figure 1 is a reference diagram illustrating the operating mechanism of a conventional pneumatic actuator. Figure 2 is a reference diagram of a conventional pneumatic actuator and control device. FIG. 3 is a reference diagram of an integrated pneumatic control device according to an embodiment of the present invention. FIG. 4 is an internal structural diagram of an integrated control box of an integrated pneumatic control device according to an embodiment of the present invention. Figure 5 is an internal configuration diagram of the artificial intelligence control unit. Figure 6 is an internal configuration diagram of an actuator control module. Figure 7 is an internal configuration diagram of the actuator reliability operation module. Figure 8 is an internal configuration diagram of a downstream state interlocking control module. Figure 9 shows the state in which an electronic sensor is installed in the downstream piping network. Specific details for implementing the invention

[0030] Hereinafter, preferred embodiments of an integrated pneumatic control device including an artificial intelligence control unit according to the present invention will be described in detail with reference to the accompanying drawings. It should be noted that identical components in the drawings are represented by the same reference numerals wherever possible. Unless otherwise specifically defined, all terms in this specification have the same general meaning as understood by a person skilled in the art to which the present invention pertains, and in the event of a conflict with the meaning of a term used in this specification, the definition used in this specification shall prevail. Throughout the specification, when a part is described as "including" a component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Furthermore, terms such as "...part," "...module," etc., described in the specification refer to a unit that processes at least one function or operation, and this may be implemented in hardware, software, or a combination of hardware and software.

[0032] Referring to FIG. 3 and the like, an integrated pneumatic control device including an artificial intelligence control unit according to one embodiment of the present invention is characterized by comprising: a position sensor (50) separately placed on the upper part of the Scotch yoke of the actuator to detect the position of the pneumatic actuator; an integrated control box (10) in which pneumatic control-related devices for operating the pneumatic actuator are accommodated in one space; and an artificial intelligence control unit (30) for collective control of pneumatic control-related devices for operating the pneumatic actuator.

[0033] First, regarding the conventional spring-return type pneumatic actuator, the conventional spring-return type pneumatic actuator is composed of a pneumatic cylinder, a spring cartridge, and a Scotch yoke, and the Fail Open or Fail Close operation is determined according to the placement position of the spring cartridge (or pneumatic cylinder). However, as previously mentioned regarding the problems of the prior art, the control device of a pneumatic actuator is generally configured to operate / control the actuator by supplying compressed air to the actuator's cylinder through the following components: a filter / regulator that regulates pressure or filters out foreign substances or moisture / foreign substances (as shown in Fig. 1); a pressure gauge that displays pressure; a solenoid valve that receives a remote electrical signal (24V DC) to open or close the air passage; a smart positioner that receives an analog electrical signal (4~20mA DC) or a digital electrical signal such as HART, FOUNDATION FIELDBUS, etc., to regulate the closed / open state of the actuator or provide a partial opening function; a flow control valve that regulates the opening / closing operation speed of the actuator; and a rapid exhaust valve that rapidly discharges air from the cylinder to cause the actuator to close or open at a rapid speed.That is, as shown in [Fig. 2], the limit switch and smart positioner are placed on the upper part of the actuator's Scotch yoke mechanism, and the remaining pneumatic control devices are placed on the front of the actuator. Each component is connected by a stainless steel tube to supply compressed air to the actuator cylinder to perform opening / closing or intermediate positioning. However, this current pneumatic control device is composed of various devices, and if any one of the control elements fails or the tube connection is poor, it causes a serious impact on the overall operation of the actuator, resulting in the loss of the function to urgently shut off or open the valve in the event of an emergency, such as a leak in the natural gas or oil pipeline, a fire, or the occurrence of abnormal pressure.

[0034] Therefore, in order to improve these problems, the present invention improves the existing structure in which pneumatic control devices were placed on the front of the actuator and their respective components were connected by stainless steel tubes, thereby improving it into an integrated type that accommodates all components and functions of each pneumatic control device in a single sealed enclosure. Furthermore, by equipping an integrated control system composed of an electronic pressure sensor, flow sensor, position sensor, electronic movement, and AI processor based on artificial intelligence control, it is possible to provide accuracy, reliability, and convenience in the operation of the actuator. Additionally, within a range that does not interfere with the operation of the actuator, the reliability of actuator operation is maximized by setting the optimal timing, frequency, and range of movement for partial stroke test drives based on historical data, reflecting weights / reduction values ​​for normal operation status and duration information as well as abnormal condition status and duration information. Moreover, based on information from an electronic sensor that detects the pressure and flow rate in the downstream piping network in real time, abnormal changes in the pressure and flow rate flowing in the downstream piping network are detected, and accordingly The present invention provides an integrated pneumatic control device including an artificial intelligence control unit capable of rapidly and accurately blocking or minimizing fluid discharge in abnormal situations through control of linked actuators, and the detailed structure and function will be explained below.

[0035] The above position sensor (50) is configured to be separately placed on the upper part of the Scotch yoke of the actuator to detect the position of the pneumatic actuator, and based on information regarding the opening position of the actuator measured and transmitted in real time through the above position sensor (50), the artificial intelligence control unit (30) described later can perform precise control related to pneumatic control for the operation of the actuator.

[0036] The above-described integrated control box (10) is configured to accommodate pneumatic control-related devices for operating a pneumatic actuator within a single space. The devices accommodated within the space of the above-described integrated control box (10) may include a filter / regulator (110) for regulating pressure or filtering out foreign substances or moisture, a pressure sensor (120) for displaying pressure, a flow sensor (130) for displaying flow rate, a flow control valve (140) for controlling the operating speed of the actuator, an electronic movement (150) for controlling the operation of the actuator by receiving an electrical signal, and an artificial intelligence processor (160) for generating a control signal of the actuator based on information input in real time. In this way, the present invention improves the system by accommodating pneumatic control-related devices for operating a pneumatic actuator collectively within a single space using the integrated control box (10), and by providing an integrated control system composed of an electronic pressure sensor (120), a flow sensor (130), a position sensor (50), an electronic movement (150), and an artificial intelligence processor (160) based on artificial intelligence control, thereby providing accuracy, reliability, and convenience in the operation of the actuator. In particular, by arranging the above control components within a single sealed box and simplifying control through a single artificial intelligence control unit (30), installation and operation costs can be significantly reduced. Furthermore, through the remote control settings of the artificial intelligence control unit (30), the control status of the actuator (air pressure, temperature, opening / closing position, operating time, etc.) can be monitored remotely or on-site in real time, and the reliability of operation can be increased through the storage, updating, and utilization of the corresponding control data.

[0037] The artificial intelligence control unit (30) is configured to perform the function of collective control of pneumatic control-related devices for the operation of a pneumatic actuator, and controls the actuator by adjusting the pressure and flow rate based on the actuator opening position information provided in real time through the position sensor (50) and the signal of the artificial intelligence processor (160). To this end, the artificial intelligence control unit (30) may more specifically include an actuator control module (310) that performs control of the opening / closing or degree of opening of the actuator based on information provided in real time from the position sensor (50), the pressure sensor (120), and the flow sensor (130), and an actuator reliability operation module (320) that maximizes the reliability of actuator operation by driving a partial stroke test of the actuator based on historical data within a range that does not interfere with the operation process of the actuator.

[0038] The actuator control module (310) is configured to perform control of the opening / closing or degree of opening of the actuator based on information regarding the opening position of the actuator provided in real time through the position sensor (50), information provided in real time from the pressure sensor (120), flow sensor (130), etc., or control-related information provided remotely. That is, it performs control of the opening / closing or degree of opening of the target actuator by integrating real-time information regarding the current state of the actuator and the state of the pneumatic or fluid pressure / flow rate, as well as control signals such as commands or signals generated remotely. To this end, the actuator control module (310) may more specifically include a first control module (311) that controls the electronic movement (150) based on a remotely transmitted control signal and real-time information provided by the pressure sensor (120) and the flow sensor (130) to control the opening / closing or degree of opening of the actuator; a second control module (312) that controls the electronic movement (150) based on an emergency control signal in an emergency or abnormal situation to perform an emergency shutdown of the actuator; and a third control module (313) that sets the operating time of the actuator through pressure control via the filter / regulator (110) or flow control via the flow control valve (140).

[0039] The first control module (311) is configured to control the electronic movement (150) based on a remotely transmitted control signal and real-time information provided by the pressure sensor (120) and flow sensor (130) to control the opening / closing or degree of opening of the actuator, that is, it includes a function to perform control that controls the opening / closing or degree of opening of the actuator, which is essentially control of the operation of the target actuator. For example, control optimized for the actual site can be achieved by correcting the control signal based on real-time information provided by the pressure sensor (120) and flow sensor (130) in the actual site compared to the remotely transmitted control signal.

[0040] The second control module (312) is configured to control the electronic movement (150) based on an emergency control signal in an emergency or abnormal situation to perform an emergency shutdown of the actuator. That is, the second control module (312) performs the function of performing an emergency shutdown of the actuator based on an emergency control signal in an emergency or abnormal situation, such as a failure or damage, rather than in a normal operating situation. Such an emergency control signal may be a control signal transmitted remotely after identifying the emergency or abnormal situation that has occurred, or a control signal based on abnormal signs in a sensing signal measured in real time at the site.

[0041] The third control module (313) is configured to set the operating time of the actuator through pressure control via the filter / regulator (110) or flow control via the flow control valve (140). That is, the third control module (313) performs the function of setting or setting the operating time of the target actuator, and this can be achieved by controlling the operating time through pressure control via the filter / regulator (110) or flow control via the flow control valve (140).

[0042] The above actuator reliability operation module (320) is configured to maximize the reliability of actuator operation by driving a partial stroke test of the actuator based on historical data within a range that does not interfere with the operation process of the actuator. In other words, typically, since the actuator is often maintained for a long time in a situation where a certain flow rate is continuously supplied in a plant, etc., there are many cases where the actual actuator is operated rarely, and accordingly, even if a failure occurs in the actuator, it may be left unchecked for a long time. Accordingly, the actuator reliability operation module (320) is characterized by maximizing the reliability of actuator operation by setting the optimal timing, number of times, and range of movement for the test drive, which reflects the weighting / reduction values ​​for the normal operating state and period information and the abnormal state and period information, when performing partial stroke test drive of the actuator based on past history data within a range that does not interfere with the operation process of the actuator.To this end, the actuator reliability operation module (320) comprises, more specifically, a first grouping module (321) that groups information regarding specifications, status, and duration of the normal operation process of an actuator based on history data related to actuator operation, a second grouping module (322) that groups information regarding specifications, status, and duration of the abnormal state occurrence process of an actuator based on history data related to actuator operation, a first analysis module (323) that assigns a first weighted correction value to information regarding the state and duration in which no abnormal state occurred in the second grouping module (322) among the information regarding the state and duration in which normal operation occurred in the first grouping module (321) for pipes and actuators of the same specification based on the grouped data of the first grouping module (321) and the second grouping module (322), and the first grouping module (321) and A second analysis module (324) that assigns a second reduction correction value to the information regarding the state and period during which an abnormal state occurs in the second grouping module (322) among the information regarding the state and period during which normal operation occurred in the first grouping module (321) for pipes and actuators of the same specification based on the grouped data of the second grouping module (322); a first setting module (325) that sets the timing and number of partial stroke test drives for the target actuator based on the information of the first analysis module (323) and the second analysis module (324); a second setting module (326) that sets the range of movement to be tested by the timing and number of partial stroke test drives for the target actuator based on the information of the first analysis module (323) and the second analysis module (324); and the target after partial stroke test drives based on the setting values ​​of the first setting module (325) and the second setting module (326). It may include a reliability operation feedback module (327) that manages actuator status information by updating and providing feedback.

[0043] The first grouping module (321) is configured to group information regarding the specifications, status, and duration of the normal operation process of the actuator based on the history data related to the operation of the actuator, that is, it performs the function of storing and providing grouped data that has been separately classified and analyzed from the existing operation record history data. In particular, the first grouping module (321) can target the history data regarding the normal operation process of the actuator, and group, classify, and analyze the status values ​​of the actuator or the components related to the drive control during the period of normal operation, by specific specifications, specific status (lifespan, installation environment, etc.), and maintenance period of the actuator and related control components, and then provide the classified and analyzed data for each group.

[0044] The second grouping module (322) is configured to group information regarding the specifications, status, and duration of the process of an abnormal state of an actuator based on the history data related to actuator operation. Similar to the first grouping module (321) mentioned above, it performs the function of storing and providing grouped data that has been separately classified and analyzed from the existing operation record history data. However, unlike the first grouping module (321) mentioned above, the second grouping module (322) targets the history data regarding the process of an actuator not operating normally, that is, the history data regarding the process of an abnormal state of an actuator. It groups and classifies the status values ​​of the actuator or the components related to the drive control during the period when the abnormal state occurs and is maintained, respectively, by specific specifications of the actuator and related control components, by specific status (lifespan, installation environment, etc.), and by the duration during which the abnormal state occurs and is maintained, and then provides the classified and analyzed data for each group.

[0045] The first analysis module (323) is configured to apply a first weighted correction value to the information regarding the state and period during which no abnormal condition occurred in the second grouping module (322) among the information regarding the state and period during which normal operation occurred in the first grouping module (321), based on the grouped data of the first grouping module (321) and the second grouping module (322), for pipes and actuators of the same specifications. That is, the first analysis module (323) performs the function of applying a weighted correction value to the data that matches the actual state and period of normal operation in both provided data, based on the grouped data of the first grouping module (321) and the second grouping module (322), so that the data can be reflected more actively. That is, the second grouping module (322) analyzes and provides historical data regarding the process of abnormal conditions occurring for piping and actuators (and / or their control components) under specific specifications or specific environments. If analyzed in reverse, information regarding the normal operating state and period in which no abnormal condition occurred in the data can be extracted. The first analysis module (323) reflects the information extracted from the first grouping module (321) as the normal operating state and period information in which no abnormal condition occurred in the second grouping module (322), and applies a first weighted correction value to the matching parts so that the data can be reflected more actively.

[0046] The second analysis module (324) is configured to apply a second reduction correction value to the information regarding the state and period during which an abnormal state occurred in the second grouping module (322) among the information regarding the state and period during which normal operation occurred in the first grouping module (321), based on the grouped data of the first grouping module (321) and the second grouping module (322), for pipes and actuators of the same specifications. That is, the second analysis module (324) performs a function that enables greater accuracy by applying a reduction correction value to parts that do not match the actual data regarding the state and period during which normal operation occurred in the data provided by both, based on the grouped data of the first grouping module (321) and the second grouping module (322), and lowering the rate at which the data is reflected. That is, the second grouping module (322) analyzes and provides historical data regarding the process of abnormal conditions occurring for pipes and actuators (and / or their control components) under specific specifications or specific environments. By analyzing this, it is possible to extract parts that are inconsistent with the data provided as normal operating state and period information in the first grouping module (321), that is, parts where the reliability of the normal operating state and period information is low. The second analysis module (324) compares the information of the first grouping module (321) and the second grouping module (322) and applies a second reduction correction value to parts that do not match the normal operating state and period information in both, thereby allowing the ratio of the data being reflected to be lowered.

[0047] The first setting module (325) is configured to set the timing and number of partial stroke test drives for a target actuator based on information from the first analysis module (323) and the second analysis module (324). That is, the first setting module (325) is based on information from the first analysis module (323) and the second analysis module (324), thereby maximizing the reliability of actuator operation by setting the optimal timing and number of test drives that reflect weights / reduction values ​​for normal operating state and period information and abnormal state and period information, in order to perform partial stroke test drives of the actuator within a range that does not interfere with the operation process of the actuator. More specifically, the first setting module (325) sets the timing and frequency of partial stroke test operations so that they are not performed or are almost minimized for the state and period that match the normal operating state and period information provided by the first analysis module (323), while setting the timing and frequency of partial stroke test operations so that they are performed more frequently for the state and period that do not match the normal operating state and period information provided by the second analysis module (324). This minimizes partial stroke tests in areas where abnormal situations are not expected, thereby minimizing disruptions during the actuator operation process, and increases the timing and frequency of partial stroke tests in areas where abnormal situations are a concern, thereby enabling rapid verification and response to the occurrence of abnormalities.

[0048] The second setting module (326) is configured to set the range of motion for partial stroke test driving for a target actuator based on the information of the first analysis module (323) and the second analysis module (324). That is, regarding how much the range of motion for test driving is set for each of the timing and number of partial stroke test drivings set through the first setting module (325), the second setting module (326) is characterized by maximizing the reliability of actuator operation by setting the optimal range of motion for test driving that reflects the weight / reduction value for the normal operating state and period information and the abnormal state and period information. More specifically, in the second setting module (326), the range of the driving movement is minimized in the partial stroke test drive performed for a state and period that match the normal operating state and period information provided by the first analysis module (323) so that a rapid test is performed, whereas in the partial stroke test drive performed for a state and period that do not match the normal operating state and period information provided by the second analysis module (324), the range of the driving movement is relatively increased so that abnormalities are checked more closely. In this way, the partial stroke test is minimized in parts where abnormal situations are not expected to minimize disruption during the actuator operation process, and the partial stroke test is performed more actively in parts where abnormal situations are feared so that rapid confirmation and response to the occurrence of abnormalities can be achieved.

[0049] The above reliability operation feedback module (327) is configured to manage target actuator status information by updating and feedbacking after partial stroke test operation based on the setting values ​​of the first setting module (325) and the second setting module (326). By feeding back the results of the partial stroke test operation performed based on the actual setting values ​​of the first setting module (325) and the second setting module (326) and reflecting the feedback results to update the setting values ​​of the first setting module (325) and the second setting module (326), the accuracy of the actuator reliability operation module (320) is ultimately increased, thereby increasing the efficiency of operation and control.

[0051] Meanwhile, in another embodiment of the present invention, a function is added to detect abnormal changes in pressure and flow rate flowing in the downstream piping network based on information from an electronic sensor that detects pressure and flow rate flowing in the downstream piping network in real time, and to control an actuator linked thereto, thereby enabling rapid and accurate blocking or minimization of fluid discharge in abnormal situations. To this end, an electronic sensor (70) that detects pressure and flow rate flowing in the downstream piping network of a remote control valve (e.g., a ball valve) equipped with a pneumatic actuator in real time is separately placed in the downstream piping network, and the artificial intelligence control unit (30) may further include a downstream state linkage control module (330) that detects abnormal changes in pressure and flow rate flowing in the downstream piping network based on information from the electronic sensor (70) and controls an actuator linked thereto.

[0052] The above electronic sensor (70) is configured to be separately placed in the downstream piping network of a remote control valve (e.g., a ball valve) equipped with a pneumatic actuator, and to detect the pressure and flow rate flowing within the piping network in real time. That is, the above electronic sensor (70) measures the pressure or flow rate of the fluid flowing within the piping network in real time using an electronic method and provides relevant information, thereby enabling the verification and analysis of changes in pressure or flow rate occurring in the fluid flow within the piping network through monitoring.

[0053] The downstream state interlocking control module (330) is configured to detect abnormal changes in pressure and flow rate in the downstream piping network based on information from the electronic sensor (70) and to control the actuator linked thereto. In general, in plants where pneumatic actuators are installed, if a situation occurs where the piping is damaged on the downstream side of a remote control valve (e.g., a ball valve) equipped with an actuator, an accident may occur in which a large amount of fluid inside the piping leaks out to the outside. In particular, if a fluid harmful to the human body or the environment leaks out, massive damage may occur. Therefore, the downstream state interlocking control module (330) detects abnormal changes in pressure and flow rate in the downstream piping network based on information from the electronic sensor (70) and performs rapid and accurate control of the actuator linked thereto.To this end, the downstream state interlocking control module (330) comprises, more specifically, a work analysis module (331) that analyzes information regarding the presence or absence of a planned work that causes a change in fluid flow in the downstream pipeline network, the type of the planned work, and the amount of change therefrom; a third grouping module (332) that groups information regarding the amplitude, duration, and correlation of fluid flow changes by situation based on historical data of fluid flow changes occurring in the downstream pipeline network; a third analysis module (333) that analyzes whether an abnormal situation exists based on the correlation between whether the threshold of the fluid flow change is exceeded and the duration of the fluid flow change, based on information from the third grouping module (332), when an abnormal change in pressure and flow rate is detected in the downstream pipeline network based on information from the electronic sensor (70) in the state where there is no planned work in the information provided by the work analysis module (331); and a downstream side based on information from the electronic sensor (70) in the state where there is a planned work It may include a fourth analysis module (334) that analyzes whether there is an abnormal situation based on the correlation between whether the fluid flow change threshold is exceeded and the persistence of the fluid flow change, based on the change amount information of the work analysis module (331) and the information of the third grouping module (332) when the change in pressure and flow rate flowing in the piping network exceeds the change amount according to the planned work; a third setting module (335) that closes the remote control valve by controlling the actuator when an emergency shutdown is required for each abnormal situation based on the information of the third analysis module (333) and the fourth analysis module (334); and a fourth setting module (336) that sets the degree of opening of the remote control valve by controlling the actuator when fluid flow control to the downstream piping network is required for each abnormal situation based on the information of the third analysis module (333) and the fourth analysis module (334).

[0054] The above-mentioned work analysis module (331) is configured to record, store, manage, and analyze information regarding the presence or absence of planned work that causes a change in fluid flow in the downstream piping network, the type of planned work, and the amount of change resulting therefrom. That is, it stores, manages, and provides information regarding the schedule information for planned work that can cause a change in fluid flow within the piping network in the downstream piping network, the type of the planned work, and the expected amount of change in fluid flow (change in pressure, flow rate, etc.) resulting therefrom. Here, planned work may include, for example, replacement or repair work on the piping network or work to close off a part of the piping network.

[0055] The third grouping module (332) is configured to group information regarding the amplitude and duration of fluid flow changes and their correlations by situation based on historical data of fluid flow changes occurring in the downstream pipeline network, that is, it performs the function of storing and providing grouped data that has been separately classified and analyzed from existing operational record historical data. In particular, the third grouping module (332) can provide the classified and analyzed data for each group after grouping and classifying the amplitude and duration of fluid flow changes and the correlation between the amplitude and duration of changes, respectively, based on the historical data of fluid flow changes occurring in the downstream pipeline network measured by the electronic sensor (70).

[0056] The third analysis module (333) is configured to analyze whether an abnormal situation exists based on the information of the third grouping module (332) and the correlation between whether the threshold of the fluid flow change is exceeded and the persistence of the fluid flow change, when an abnormal change in pressure and flow rate flowing in the downstream piping network is detected based on information through the electronic sensor (70) in a state where there is no scheduled work in the information provided by the work analysis module (331). That is, in a state where there is no scheduled work in the information provided by the work analysis module (331), it is generally the case that no change occurs in the fluid flow within the downstream piping network. However, in the case where an abnormal change in pressure and flow rate flowing in the downstream piping network is detected based on information through the electronic sensor (70) in that state, the third analysis module (333) quickly determines and analyzes whether the change was caused by an abnormal situation and provides the results. To this end, the third analysis module (333) can rapidly and accurately analyze and provide whether an abnormal situation exists by comparing the change in fluid pressure and flow rate in the downstream piping network measured by the electronic sensor (70) with the correlation between whether the threshold of the fluid flow change occurring for each abnormal situation is exceeded and the persistence of the fluid flow change, based on the information of the third grouping module (332).

[0057] The above-mentioned fourth analysis module (334) is configured to analyze whether there is an abnormal situation based on the correlation between whether the threshold of the fluid flow change is exceeded and the persistence of the fluid flow change, based on the change amount information of the above-mentioned work analysis module (331) and the information of the above-mentioned third grouping module (332), when there is a planned work in the information provided by the above-mentioned work analysis module (331) and the information through the above-mentioned electronic sensor (70) and the change amount according to the planned work. That is, in the case where there is a planned work in the information provided by the above-mentioned work analysis module (331), there is a predicted value of the change amount in pressure and flow rate predicted through the said planned work. In that state, when there is a change in pressure and flow rate flowing through the downstream pipe network based on the information through the above-mentioned electronic sensor (70) and the change amount according to the planned work, the above-mentioned fourth analysis module (334) quickly determines and analyzes whether the change was caused by the addition of an abnormal situation and provides the result. To this end, the fourth analysis module (334) can quickly and accurately analyze and provide whether an abnormal situation exists by comparing the change amount in the fluid pressure and flow rate in the downstream piping network measured by the electronic sensor (70) with the correlation between whether the threshold of the fluid flow change occurring for each abnormal situation is exceeded and the persistence of the fluid flow change, based on the change amount information of the work analysis module (331) and the information of the third grouping module (332).

[0058] The third setting module (335) is configured to close the remote control valve by controlling the actuator when an emergency shutdown is required for an abnormal situation based on the information of the third analysis module (333) and the fourth analysis module (334). That is, the third setting module (335) is characterized by being able to quickly prevent or minimize the leakage of internal fluid to the outside due to an abnormal situation in the downstream piping network by basing its operation on the information of the third analysis module (333) and the fourth analysis module (334). More specifically, the third setting module (335) controls the remote control valve to be immediately closed through rapid control of the actuator when it is determined that an abnormal situation has occurred and an emergency shutdown is required, by synthesizing the information of the third analysis module (333) and the fourth analysis module (334).

[0059] The above-mentioned fourth setting module (336) is configured to set the degree of opening of the remote control valve by controlling the actuator when fluid flow control to the downstream piping network is required for abnormal situations based on the information of the above-mentioned third analysis module (333) and fourth analysis module (334). While the above-mentioned third setting module (335) determines that an emergency shutdown is required when serious damage is expected due to external leakage of fluid caused by an abnormal situation and executes immediate closing control of the remote control valve, the above-mentioned fourth setting module (336) is configured to perform control when it is determined that even in an abnormal situation, serious damage is not expected, and rather it is advantageous to resolve the abnormal situation through rapid repair or restoration. More specifically, the fourth setting module (336) combines the information from the third analysis module (333) and the fourth analysis module (334) to determine that an abnormal situation has occurred but the expected damage is small, and that the speed or volume of the fluid flowing in the downstream pipe must be reduced for rapid maintenance / repair. In this case, the degree of opening of the remote control valve is set and controlled through rapid control of the actuator. That is, the degree of opening of the remote control valve is reduced so that the speed or volume of the fluid can be reduced to the necessary amount.

[0061] Although the applicant has described various embodiments of the present invention above, such embodiments are merely examples of implementing the technical concept of the present invention, and any modification or alteration that implements the technical concept of the present invention should be interpreted as falling within the scope of the present invention. Explanation of the symbols

[0062] 10: Integrated control box 110: Filter / regulator 120: Pressure sensor 130: Flow sensor 140: Flow control valve 150: Electronic movement 160: Artificial intelligence processor 30: Artificial Intelligence Control Unit 310: Actuator Control Module 311: 1st control module 312: 2nd control module 313: 3rd control module 320: Actuator Reliability Operation Module 321: 1st Grouping Module 322: Grouping Module 2 323: Analysis Module 1 324: Analysis Module 2 325: 1st Configuration Module 326: 2nd Configuration Module 327: Reliability Operation Feedback Module 330: Downstream Condition Interlocking Control Module 331: Work Analysis Module 332: 3rd Grouping Module 333: 3rd Analysis Module 334: 4th Analysis Module 335: 3rd configuration module 336: 4th configuration module 50: Position sensor 70: Electronic sensor

Claims

Claim 1 delete Claim 2 delete Claim 3 delete Claim 4 delete Claim 5 An integrated control box in which pneumatic control-related devices for operating a pneumatic actuator are housed within a single space; and an artificial intelligence control unit for collective control of pneumatic control-related devices for the operation of a pneumatic actuator; wherein the devices housed within the space of the integrated control box include a filter / regulator for regulating pressure or filtering foreign substances or moisture, a pressure sensor for displaying pressure, a flow sensor for displaying flow rate, a flow control valve for regulating the operating speed of the actuator, an electronic movement for regulating the operation of the actuator by receiving an electrical signal, and an artificial intelligence processor for generating a control signal for the actuator based on real-time input information; a position sensor for detecting the position of the pneumatic actuator is separately disposed on the upper part of the Scotch yoke of the actuator; and the artificial intelligence control unit regulates pressure and flow rate and controls the actuator based on the actuator opening position information provided in real-time through the position sensor and the signal from the artificial intelligence processor; and the artificial intelligence control unit controls the actuator based on the actuator opening position information provided in real-time through the position sensor, and information provided in real-time from the pressure sensor and the flow sensor It includes an actuator control module that performs control regarding the opening / closing or degree of opening of an actuator based on information, and an actuator reliability operation module that maximizes the reliability of actuator operation through partial stroke test driving of the actuator based on historical data within a range that does not impede the operation process of the actuator, wherein the actuator reliability operation module comprises a first grouping module that groups information regarding specifications, status, and duration of the normal operation process of the actuator based on historical data related to actuator operation, and a second grouping module that groups information regarding specifications, status, and duration of the occurrence of an abnormal state of the actuator based on historical data related to actuator operation.A first analysis module that assigns a first weighted correction value to the state and period information in which no abnormal state occurred in the second grouping module among the state and period information in which normal operation occurred in the first grouping module, targeting pipes and actuators of the same specifications based on the grouped data of the first grouping module and the second grouping module; a second analysis module that assigns a second reduction correction value to the state and period information in which an abnormal state occurred in the second grouping module among the state and period information in which normal operation occurred in the first grouping module, targeting pipes and actuators of the same specifications based on the grouped data of the first grouping module and the second grouping module; a first setting module that sets the timing and number of partial stroke test drives for the target actuator based on the information of the first analysis module and the second analysis module; and a range of movement driven for each timing and number of partial stroke test drives for the target actuator based on the information of the first analysis module and the second analysis module. An integrated pneumatic control device comprising an artificial intelligence control unit characterized by including a second setting module and a reliability operation feedback module that updates and feeds back target actuator status information after partial stroke test driving based on the setting values ​​of the first setting module and the second setting module. Claim 6 delete Claim 7 In claim 5, the integrated pneumatic control device comprises an electronic sensor separately positioned downstream of a remote control valve equipped with a pneumatic actuator to detect pressure and flow rate in a piping network in real time, and the artificial intelligence control unit further comprises a downstream state interlocking control module that detects abnormal changes in pressure and flow rate in the downstream piping network based on information obtained through the electronic sensor and performs control of the actuator linked thereto, wherein the downstream state interlocking control module comprises a work analysis module that analyzes information regarding the presence or absence of scheduled planned work that causes a change in fluid flow in the downstream piping network, the type of planned work, and the amount of change resulting therefrom, a third grouping module that groups information regarding the amplitude, duration, and correlation of fluid flow changes by situation based on historical data of fluid flow changes occurring in the downstream piping network, and when an abnormal change in pressure and flow rate in the downstream piping network is detected based on information obtained through the electronic sensor in a state where there is no scheduled planned work in the information provided by the work analysis module, the A third analysis module that analyzes whether an abnormal situation exists based on the correlation between whether a threshold for fluid flow change is exceeded and the persistence of fluid flow change, based on information from the third grouping module; a fourth analysis module that analyzes whether an abnormal situation exists based on the correlation between whether a threshold for fluid flow change is exceeded and the persistence of fluid flow change, based on change amount information from the work analysis module and information from the third grouping module, when a change in pressure and flow rate flowing in the downstream piping network exceeds the change amount according to the planned work based on information through the electronic sensor while there is a planned work in the information provided by the work analysis module; and a third setting module that closes a remote control valve by controlling an actuator when an emergency shutdown is required for each abnormal situation based on information from the third analysis module and the fourth analysis module.An integrated pneumatic control device comprising an artificial intelligence control unit characterized by including a fourth setting module that sets the degree of opening of a remote control valve by controlling an actuator when fluid flow control to a downstream piping network is required for each abnormal situation based on information from the third analysis module and the fourth analysis module.

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