CA3169180A1 - Pipe or pump cavitation control system - Google Patents
Pipe or pump cavitation control systemInfo
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- CA3169180A1 CA3169180A1 CA3169180A CA3169180A CA3169180A1 CA 3169180 A1 CA3169180 A1 CA 3169180A1 CA 3169180 A CA3169180 A CA 3169180A CA 3169180 A CA3169180 A CA 3169180A CA 3169180 A1 CA3169180 A1 CA 3169180A1
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Abstract
A monitoring device having a supervisory system is deployed on an outer surface of a tubular structure having flowing fluid therein. Fluid flow parameters for the flowing fluid are measured with the supervisory system. The fluid flow parameters are sent to an artificial intelligence application residing on a computer system. The artificial intelligence application calculates the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
Description
PIPE OR PUMP CAVITATION CONTROL SYSTEM
BACKGROUND
[00011 Liquids that are conveyed through pipe, pumps, or other tubular structures can be subject to cavitation. Pipe or pump cavitation is caused by the formation of vapor cavities in that liquid as a result of forces acting upon the liquid and, in particular, when the liquid is subjected to rapid changes of pressure. These pressure changes cause the formation of cavities or voids in the liquid where the pressure is relatively low. When the pressure increases, the voids can implode, which generates an intense shock wave.
BACKGROUND
[00011 Liquids that are conveyed through pipe, pumps, or other tubular structures can be subject to cavitation. Pipe or pump cavitation is caused by the formation of vapor cavities in that liquid as a result of forces acting upon the liquid and, in particular, when the liquid is subjected to rapid changes of pressure. These pressure changes cause the formation of cavities or voids in the liquid where the pressure is relatively low. When the pressure increases, the voids can implode, which generates an intense shock wave.
[0002] Cavitation presents a challenge because it is a costly phenomenon within systems that utilize liquids that flow through pumps, pipes, and other tubular structures. The failure of these systems/components can result in substantial downtime costs and decrease equipment life. Therefore, these systems must be closely monitored and can require the implementation of costly predictive maintenance solutions. However, this is not a practical solution because there is no affordable, accurate, timely detection solution that is currently available and compatible with all types of equipment.
[0003] Traditional cavitation detection methods include methods that use fuzzy logic, energy methods, optical methods, surface coating methods, electrical resistance methods, methods that use acoustic emission technology, and vibro-acoustic methods. The energy methods are subject to significant errors when using a head drop of 3% or an efficiency drop of 1% as the criterion. In such cases, the error can be compounded because cavitation has already developed under those conditions.
[0004] The optical methods are suitable got capturing the development state of cavitation when conducting a model test. Owing to the high experimental cost and on-site condition limit for the actual pump, its usage range is greatly narrowed.
[0005] The surface methods that involve covering the interior with a layered material are vulnerable to cavitation erosion on the surface of flow components. Such methods can be used to directly observe the damage position and degree. However, such methods are not practical for most industrial applications due to the need for shutdown detection.
[0006] The electrical resistance methods include direct methods and indirect methods.
The former methods can determine the cavitation damage degree by comparing the resistance values of the metal sheet attached to the surface of the flow component before and after cavitation. The latter methods can only determine the relative strength of cavitation by measuring the resistance change of the liquid medium.
Date regue/Date Received 2022-07-27
The former methods can determine the cavitation damage degree by comparing the resistance values of the metal sheet attached to the surface of the flow component before and after cavitation. The latter methods can only determine the relative strength of cavitation by measuring the resistance change of the liquid medium.
Date regue/Date Received 2022-07-27
[0007] Owing to low signal robustness, the accuracy of the two methods cannot be guaranteed. While many of the methods are suitable in certain situations, there is a need for an improved method for detecting pipe and pump cavitation.
SUMMARY
SUMMARY
[0008] The following summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description.
This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
[0009] In various implementations, a computer-implemented method for detecting cavitation in tubular structures containing flowing fluid is provided. A
monitoring device having a supervisory system is deployed on an outer surface of one of the tubular structures.
Fluid flow parameters for the flowing fluid are measured with the supervisory system. The fluid flow parameters are sent to an artificial intelligence application residing on a computer system. The artificial intelligence application calculates the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
monitoring device having a supervisory system is deployed on an outer surface of one of the tubular structures.
Fluid flow parameters for the flowing fluid are measured with the supervisory system. The fluid flow parameters are sent to an artificial intelligence application residing on a computer system. The artificial intelligence application calculates the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
[0010] In other implementations, an apparatus for detecting cavitation in tubular structures containing flowing fluid is provided. A monitoring device has a supervisory system for measuring fluid flow parameters of the flowing fluid is mounted on an outer surface of one of the tubular structures. A computer system having memory having computer readable instructions and a processor for executing the computer readable instructions.
The computer readable instructions including instructions for receiving fluid flow parameters from the supervisory system and instructions for implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
The computer readable instructions including instructions for receiving fluid flow parameters from the supervisory system and instructions for implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
[0011] In yet other implementations, a computer program product includes a non-transitory computer readable storage medium having program instructions embodied therewith. The program instructions executable by processing circuitry to cause the processing circuitry to receive fluid flow parameters for a flowing fluid within a tubular structure from a supervisory system within a monitoring device mounted on an outer surface of the tubular structure. The program instructions further implement an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
[0012] These and other features and advantages will be apparent from a reading of the following detailed description and a review of the appended drawings. It is to be understood Date regue/Date Received 2022-07-27 ! I
that the foregoing summary, the following detailed description and the appended drawings are explanatory only and are not restrictive of various aspects as claimed.
BRIEF DESCRIPTION OF THE DRAWINGS
that the foregoing summary, the following detailed description and the appended drawings are explanatory only and are not restrictive of various aspects as claimed.
BRIEF DESCRIPTION OF THE DRAWINGS
[0013] FIG. 1 is a schematic diagram of pipe or pump cavitation control system in accordance with the subject disclosure.
[0014] FIG. 2 is an exemplary process in accordance with the subject disclosure.
[0015] FIG. 3 is an exemplary cloud computing system in accordance with the subject disclosure.
[0016] FIG. 4 is an exemplary computer system in accordance with the subject disclosure.
DETAILED DESCRIPTION
DETAILED DESCRIPTION
[0017] The subject disclosure is directed to a pipe or pump cavitation control system and, more specifically, to an intelligent control system that can be deployed to control cavitation within a plant that has an array of pumps and pipes therein.
[0018] The detailed description provided below in connection with the appended drawings is intended as a description of examples and is not intended to represent the only forms in which the present examples can be constructed or utilized. The description sets forth functions of the examples and sequences of steps for constructing and operating the examples. However, the same or equivalent functions and sequences can be accomplished by different examples.
[0019] References to "one embodiment," "an embodiment," "an example embodiment,"
"one implementation," "an implementation," "one example," "an example" and the like, indicate that the described embodiment, implementation or example can include a particular feature, structure or characteristic, but every embodiment, implementation or example can not necessarily include the particular feature, structure or characteristic.
Moreover, such phrases are not necessarily referring to the same embodiment, implementation or example. Further, when a particular feature, structure or characteristic is described in connection with an embodiment, implementation or example, it is to be appreciated that such feature, structure or characteristic can be implemented in connection with other embodiments, implementations or examples whether or not explicitly described.
"one implementation," "an implementation," "one example," "an example" and the like, indicate that the described embodiment, implementation or example can include a particular feature, structure or characteristic, but every embodiment, implementation or example can not necessarily include the particular feature, structure or characteristic.
Moreover, such phrases are not necessarily referring to the same embodiment, implementation or example. Further, when a particular feature, structure or characteristic is described in connection with an embodiment, implementation or example, it is to be appreciated that such feature, structure or characteristic can be implemented in connection with other embodiments, implementations or examples whether or not explicitly described.
[0020] References to a "module", "a software module", and the like, indicate a software component or part of a program, an application, and/or an app that contains one or more routines. One or more independently modules can comprise a program, an application, and/or an app.
Date recue/Date Received 2022-07-27 ! =
Date recue/Date Received 2022-07-27 ! =
[0021] References to an "app", an "application", and a "software application" shall refer to a computer program or group of programs designed for end users. The terms shall encompass standalone applications, thin client applications, thick client applications, web-based applications, such as a browser, and other similar applications.
[0022] Numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments of the described subject matter. It is to be appreciated, however, that such embodiments can be practiced without these specific details.
[0023] Various features of the subject disclosure are now described in more detail with reference to the drawings, wherein like numerals generally refer to like or corresponding elements throughout. The drawings and detailed description are not intended to limit the claimed subject matter to the particular form described. Rather, the intention is to cover all modifications, equivalents and alternatives falling within the spirit and scope of the claimed subject matter.
[0024] The subject disclosure is directed to an artificial intelligence (AI)-based cavitation detection system configured to control cavitation within a plant that has an array of liquid pumps and pipes therein. The system utilizes machine learning and artificial intelligence to detect bubbles and other indicators of pipes within the plant. The disclosed apparatus, system, or instrumentality can be provided as a software as a service (SAAS) that provides for cavitation detection through the use of machine learning.
[0025] Now referring to the drawings and particularly to FIG. 1, various features of the subject disclosure are now described in more detail with respect to pipe or pump cavitation detection and/or control system within an operating environment, generally designated with the numeral 5. The system detects and/or controls cavitation within a plant having a plant control system 10 with a program logic controller (PLC) 20 that controls fluid flow within tubular structures, such as pipes 30 and pumps 40.
[0026] The operating environment 5 includes a removable surface monitoring kit 100 that can be deployed within the plant control system 10. The kit 100 is portable and can be installed non-intrusively on surfaces, including surfaces of the pipes 30 and the pumps 40.
[0027] The kit 100 includes a dedicated onboard supervisory system 110 that reports the presence of bubbles within the fluid flowing through the pipes 30 and/or the pumps 40. The kit 100 can also include a sensor array 112 and a network device 114 that can be a computing device or a dedicated network connection device.
[0028] The network device 114 can implement software that reports the presence of bubbles within the fluid flowing through the pipes 30 and/or the pumps 40. The software can Date regue/Date Received 2022-07-27 . ;
reside on the network device 114 and/or be implemented through a connection over a network 116 to a server 200.
reside on the network device 114 and/or be implemented through a connection over a network 116 to a server 200.
[0029] The software can use machine learning (ML) algorithms that are independent of the topology and technology of the plant control system 10. The software is capable of connecting to the server 200 and uploading information collected with the supervisory system 110 and/or the sensor array 112 to the server 200. The information can be used to determine the occurrence of cavitation and calculate the probability of cavitation using machine learning. In some embodiments, the software detects cavitation by varying the speed and the pressure of fluid that flows through the pipes 30 and/or the pumps 40.
[0030] The server 200 can include an interface 210, an artificial intelligence application 212, a memory device 214, and a processor 216. The interface 210 and the artificial intelligence application 212 can be implemented with the processor 216.
[0031] The interface 210 can be configured to communicate with the network device 114 over the network 116. The interface 210 can be configured to communicate with users through display devices (not shown) or other output devices (not shown). The memory device 214 can store information that is obtained from the surface monitoring kit 100.
[0032] The artificial intelligence application 212 can detect cavitation by varying the speed and pressure using support vector machine as one of the machine learning classification methods.
[0033] The artificial intelligence application 212 implements the machine learning algorithm to collect the information on vibration, sounds of the pipes 30 and/or the pumps 40 using the controller 20.
[0034] In some embodiments, the network device 114 and/or the server 200 can generate notifications to users, such as site staff, of suspected cavitation in specific sections of the pipes 30 and/or the pumps 40 to avoid potential damage therein. The network device 114 and/or the server 200 can communicate the notifications to the users to provide necessary maintenance and repair procedures. The timely detection of cavitation and the resulting mitigating measures can extend the life of plant equipment by at least two years.
[0035] The server 200 can be implemented by computing devices such as server computers configured to provide various types of services and/or data stores in accordance with the described subject matter. The network device 114 can be any type of dedicated network devices or computing devices, including a mobile device, a navigation device, a smartphone, a handheld computer, a tablet, a PC, or any other client device.
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[0036] The network device 114 can be configured to communicate over the network 116 with the server 200. The network device 144 can be configured to function as an input device, an output device, and/or a display device.
[0037] Network 116 can be implemented by any type of network or combination of networks including, without limitation: a wide area network (WAN) such as the Internet, a local area network (LAN), a Peer-to-Peer (P2P) network, a telephone network, a private network, a public network, a packet network, a circuit-switched network, a wired network, and/or a wireless network. Server 200 and network device 114 can communicate via network 116 using various communication protocols, including secure communication protocols (e.g., Internet communication protocols, WAN communication protocols, LAN
communications protocols, P2P protocols, telephony protocols, and/or other network communication protocols), various authentication protocols, and/or various data types (web-based data types, audio data types, video data types, image data types, messaging data types, signaling data types, and/or other data types).
100381 Referring to FIG. 2 with continuing reference to the foregoing figures, an exemplary process, generally designated by the numeral 300, for implementing a pipe or pump cavitation control system is shown. The process 300 can be a computer-implemented method that is performed within the operating environment 5 shown in FIG. 1.
[0039] At 301, a monitoring device having a supervisory system is deployed on an outer surface of a tubular structure having fluid flowing therethrough. In this exemplary embodiment, the monitoring device is the surface monitoring kit 100 shown in FIG. 1. The supervisory system is the supervisory system 110 shown in FIG. 1.
[0040] At 302, the supervisory system measures the fluid flow parameters for the flowing fluid. In this exemplary embodiment, the supervisory system measures the fluid flow parameters of fluid flowing through the pipes 30 and/or the pumps 40.
[0041] At 303, the fluid flow parameters are sent to an artificial intelligence application residing on a computer system. In this exemplary embodiment, the artificial intelligence application can be the artificial intelligence application 212 residing on the server 200 shown in FIG. 1. Alternatively, the artificial intelligence application can reside on the network device 114 shown in FIG. 1.
[0042] At 304, the artificial intelligence application calculates the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters. In this exemplary embodiment, the artificial intelligence application is implemented using the processor 216 shown in FIG. 1 or through the use of the network device 114 shown in FIG. 1.
Date regue/Date Received 2022-07-27 .
Exemplary Cloud Architecture [0043] Referring to FIG. 3 with continuing reference to the foregoing figures, exemplary cloud architecture, generally designated by the numeral 400, for implementing a cavitation control and/or detection system is shown. In this exemplary embodiment, the architecture 400 can be implemented within the operating environment 5 shown in FIG. 1 to practice the method 300 shown in FIG. 2 using the surface monitoring kit 100 and the server 200 shown in FIG. 1.
[0044] Cloud computing provides computation, software, data access, and storage services that do not require end-user knowledge of the physical location or configuration of the system that delivers the services. In various embodiments, cloud computing delivers the services over a wide area network, such as the intemet, using appropriate protocols.
[0045] For instance, cloud computing providers deliver applications over a wide area network and they can be accessed through a web browser or any other computing component.
Software or components of architecture 400 as well as the corresponding data, can be stored on servers at a remote location. The computing resources in a cloud computing environment can be consolidated at a remote data center location or they can be dispersed.
Cloud computing infrastructures can deliver services through shared data centers, even though they appear as a single point of access for the user. Thus, the components and functions described herein can be provided from a service provider at a remote location using a cloud computing architecture. Alternatively, they can be provided from a conventional server, or they can be installed on client devices directly, or in other ways.
[0046] The description is intended to include both public cloud computing and private cloud computing. Cloud computing (both public and private) provides substantially seamless pooling of resources, as well as a reduced need to manage and configure underlying hardware infrastructure.
[0047] A public cloud is managed by a vendor and typically supports multiple consumers using the same infrastructure. Also, a public cloud, as opposed to a private cloud, can free up the end users from managing the hardware. A private cloud may be managed by the organization itself and the infrastructure is typically not shared with other organizations. The organization still maintains the hardware to some extent, such as installations and repairs, etc.
[0048] As shown in FIG. 3, the cloud architecture 400 includes a cloud 410. The cloud 410 (or each of the different premises on the cloud 410) can include a hardware layer 412, an infrastructure layer 414, a platform layer 416, and an application layer 418.
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[0049] A hypervisor 420 can illustratively manage or supervise a set of virtual machines 422 that can include a plurality of different, independent, virtual machines 424-426. Each virtual machine can illustratively be an isolated software container that has an operating system and an application inside it. It is illustratively decoupled from its host server by hypervisor 420. In addition, hypervisor 420 can spin up additional virtual machines or close virtual machines, based upon workload or other processing criteria.
[0050] A plurality of different client systems 428-430 (which can be end user systems or administrator systems, or both) can illustratively access cloud 410 over a network 432.
Depending upon the type of service being used by each of the client systems 428-430, cloud 410 may provide different levels of service. In one example, the users of the client systems are provided access to application software and databases. The cloud service then manages the infrastructure and platforms that run the application. This can be referred to as software as a service (or SaaS). The software providers operate application software in application layer 412 and end users access the software through the different client systems 428-430.
[0051] The cloud provider can also use platform layer 416 to provide a platform as a service (PaaS). This involves an operating system, programming language execution environment, database and webserver being provided to the client systems 428-430, as a service, from the cloud provider. Application developers then normally develop and run software applications on that cloud platform and the cloud provider manages the underlying hardware and infrastructure and software layers.
[0052] The cloud provider can also use infrastructure layer 414 to provide infrastructure as a service (IaaS). In such a service, physical or virtual machines and other resources are provided by the cloud provider, as a service. These resources are provided, on-demand, by the IaaS cloud provider, from large pools installed in data centers. In order to deploy the applications, the cloud users that use laaS install operating-system images and application software on the cloud infrastructure 400.
Exemplary Computer System [0053] Referring now to FIG. 4 with continuing reference to the forgoing figures, a computer system for an intelligent pipe or pump cavitation control system is generally shown according to one or more embodiments. The system 500 described herein can be implemented in hardware, software (e.g., firmware), or a combination thereof.
In an exemplary embodiment, the system 500 described herein is implemented in hardware as part of the microprocessor of a special or general-purpose digital computer, such as a personal Date regue/Date Received 2022-07-27 , computer, workstation, minicomputer, or mainframe computer. The system 500 therefore can include general-purpose computer or mainframe 501 capable of running multiple instances of an 0/S simultaneously.
[0054] In an exemplary embodiment, in terms of hardware architecture, as shown in FIG.
4, the computer 501 includes one or more processors 505, memory 510 coupled to a memory controller 515, and one or more input and/or output (I/O) devices 540, 545 (or peripherals) that are communicatively coupled via a local input/output controller 535. The input/output controller 535 can be, for example but not limited to, one or more buses or other wired or wireless connections, as is known in the art. The input/output controller 535 can have additional elements, which are omitted for simplicity, such as controllers, buffers (caches), drivers, repeaters, and receivers, to enable communications. Further, the local interface can include address, control, and/or data connections to enable appropriate communications among the aforementioned components. The input/output controller 535 can include a plurality of sub-channels configured to access the output devices 540 and 545.
The sub-channels can include fiber-optic communications ports.
[0055] The processor 505 is a hardware device for executing software, particularly that stored in storage 520, such as cache storage, or memory 510. The processor 505 can be any custom made or commercially available processor, a central processing unit (CPU), an auxiliary processor among several processors associated with the computer 501, a semiconductor based microprocessor (in the form of a microchip or chip set), a macroprocessor, or generally any device for executing instructions.
[0056] The memory 510 can include any one or combination of volatile memory elements (e.g., random access memory (RAM, such as DRAM, SRAM, SDRAM, etc.)) and nonvolatile memory elements (e.g., ROM, erasable programmable read only memory (EPROM), electronically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), tape, compact disc read only memory (CD-ROM), disk, diskette, cartridge, cassette or the like, etc.). Moreover, the memory 510 can incorporate electronic, magnetic, optical, and/or other types of storage media. Note that the memory 510 can have a distributed architecture, where various components are situated remote from one another, but can be accessed by the processor 505.
[0057] The instructions in memory 510 can include one or more separate programs, each of which comprises an ordered listing of executable instructions for implementing logical functions. In the example of FIG. 4, the instructions in the memory 510 a suitable operating system (OS) 511. The operating system 511 essentially controls the execution of other Date regue/Date Received 2022-07-27 = t .
computer programs and provides scheduling, input-output control, file and data management, memory management, and communication control and related services. In accordance with one or more embodiments, the memory 510 and/or an I/O device 545 can be used to store the file attribute tables and the data layers.
[0058] The memory 510 can include multiple logical partitions (LPARs) 512, each running an instance of an operating system. The LPARs 512 can be managed by a hypervisor, which can be a program stored in memory 510 and executed by the processor 505.
[0059] In an exemplary embodiment, a conventional keyboard 550 and mouse 555 can be coupled to the input/output controller 535. Other output devices such as the I/O devices 540, 545 can include input devices, for example but not limited to a printer, a scanner, microphone, and the like. Finally, the I/O devices 540, 545 can further include devices that communicate both inputs and outputs, for instance but not limited to, a network interface card (NIC) or modulator/demodulator (for accessing other files, devices, systems, or a network), a radio frequency (RF) or other transceiver, a telephonic interface, a bridge, a router, and the like. The system 500 can further include a display controller 525 coupled to a display 530. In an exemplary embodiment, the system 500 can further include a network interface 560 for coupling to a network 565. The network 565 can be an IP-based network for communication between the computer 501 and any external server, client and the like via a broadband connection. The network 565 transmits and receives data between the computer 501 and external systems. In an exemplary embodiment, network 565 can be a managed IP
network administered by a service provider. The network 565 can be implemented in a wireless fashion, e.g., using wireless protocols and technologies, such as WiFi, WiMax, etc. The network 565 can also be a packet-switched network such as a local area network, wide area network, metropolitan area network, Internet network, or other similar type of network environment. The network 565 can be a fixed wireless network, a wireless local area network (LAN), a wireless wide area network (WAN) a personal area network (PAN), a virtual private network (VPN), intranet or other suitable network system and includes equipment for receiving and transmitting signals.
[0060] If the computer 501 is a PC, workstation, intelligent device or the like, the instructions in the memory 510 can further include a basic input output system (BIOS) (omitted for simplicity). The BIOS is a set of essential software routines that initialize and test hardware at startup, start the OS 511, and support the transfer of data among the hardware devices. The BIOS is stored in ROM so that the BIOS can be executed when the computer 501 is activated.
Date regue/Date Received 2022-07-27 [0061] When the computer 501 is in operation, the processor 505 is configured to execute instructions stored within the memory 510, to communicate data to and from the memory 510, and to generally control operations of the computer 501 pursuant to the instructions.
[0062] In accordance with one or more embodiments described herein, the computer 501 can implement and/or perform the disclosed subject matter. As shown, computer 501 can include instructions in memory 510 for performing steps associated with the operating environment 5 shown in FIGS. I and/or Steps 301-304 of the method 300 shown in FIG. 2.
[0063] Further, it should be understood that some embodiments the server 200 shown in FIG. I can be implemented through cloud infrastructure, such as the cloud infrastructure 400 shown in FIG. 3, and/or through a conventional computer system, such as the computer system 500 shown in FIG. 4. In other embodiments, the server 200 shown in FIG.
I can be implemented in a hybrid cloud environment that includes cloud infrastructure, such as cloud infrastructure 400 shown in FIG. 3, and one or more computer systems, such computer system 500 shown in FIG. 4.
[0064] Additionally, it should be understood that the disclosed subject matter can be implemented as a system, a method, and/or a computer program product at any possible technical detail level of integration. The computer program product can include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out embodiments and features of the subject disclosure.
[0065] Computer readable storage mediums, as described herein, can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium can be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing.
A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic Date regue/Date Received 2022-07-27 . A .
waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.
[0066] Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.
[0067] Computer readable program instructions for carrying out operations of the present disclosure can be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, configuration data for integrated circuitry, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C-HF, or the like, and procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to exploit features of the present disclosure.
10068] Embodiments and features of the subject disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products. It will be understood that each block of the flowchart Date regue/Date Received 2022-07-27 = it =
illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
[0069] These computer readable program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions can also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart and/or block diagram block or blocks.
[0070] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
[0071] The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the subject disclosure.
[0072] In this regard, each block in the flowchart or block diagrams can represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession can, in fact, be executed substantially concurrently, or the blocks can sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions.
Date regue/Date Received 2022-07-27 = .
Supported Features and Embodiments [0073] The detailed description provided above in connection with the appended drawings explicitly describes and supports various features of an intelligent pipe or pump cavitation control system. By way of illustration and not limitation, supported embodiments include a computer-implemented method for detecting cavitation in tubular structures containing flowing fluid, the computer-implemented method comprising:
deploying a monitoring device having a supervisory system on an outer surface of one of the tubular structures, measuring, with the supervisory system, fluid flow parameters for the flowing fluid, sending the fluid flow parameters to an artificial intelligence application residing on a computer system, and calculating, with the artificial intelligence application, the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
[0074] Supported embodiments include the foregoing computer-implemented method, further comprising: deploying, with the artificial intelligence application, a support-vector machine to determine the probability that cavitation is occurring within the flowing fluid.
[0075] Supported embodiments include any of the foregoing computer-implemented methods, wherein the monitoring device is removable.
[0076] Supported embodiments include any of the foregoing computer-implemented methods, further comprising: connecting the supervisory system to the computer system over a network.
[0077] Supported embodiments include any of the foregoing computer-implemented methods, further comprising: detecting vibration sounds with the supervisory system.
[0078] Supported embodiments include any of the foregoing computer-implemented methods, further comprising: varying the speed and pressure of the flowing fluid within the tubular structures.
[0079] Supported embodiments include any of the foregoing computer-implemented methods, further comprising: generating notifications relating to the probability that cavitation is occurring within the flowing fluid, and communicating the notifications to a user.
[0080] Supported embodiments include any of the foregoing computer-implemented methods, wherein the flow of the flowing fluid is controlled with a controller and wherein the supervisory system connects to the controller.
[0081] Supported embodiments include an apparatus for detecting cavitation in tubular structures containing flowing fluid, the apparatus comprising: a monitoring device having a supervisory system for measuring fluid flow parameters of the flowing fluid mounting on an Date regue/Date Received 2022-07-27 . A,.
outer surface of one of the tubular structures, and a computer system having memory having computer readable instructions and a processor for executing the computer readable instructions, the computer readable instructions including: receiving fluid flow parameters from the supervisory system, and implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
[0082] Supported embodiments include a computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by processing circuitry to cause the processing circuitry to perform the steps of: receiving fluid flow parameters for a flowing fluid within a tubular structure from a supervisory system within a monitoring device mounted on an outer surface of the tubular structure, and implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
[0083] Supported embodiments include a system, a computer-readable storage medium, and/or means for implementing any of the foregoing methods, apparatus, computer program products, or portions thereof.
[0084] Supported embodiments can provide various attendant and/or technical advantages in terms of an apparatus that detects and controls pipe and/or pump cavitation.
The apparatus utilizes a removable surface-installed monitoring kit that is portable and can be installed non-intrusively on surfaces. The apparatus includes a dedicated onboard supervisory system that reports the presence of the bubbles using a ML algorithm regardless of the plant control system topology and technology.
[0085] Supported embodiments include an apparatus that includes a kit that can be connected to a cloud computing system and can upload the collected information thereon.
Alternatively, the apparatus can calculate the probability of cavitation independently with an on-board artificial intelligence engine.
[0086] The detailed description provided above in connection with the appended drawings is intended as a description of examples and is not intended to represent the only forms in which the present examples can be constructed or utilized.
[0087] It is to be understood that the configurations and/or approaches described herein are exemplary in nature, and that the described embodiments, implementations and/or examples are not to be considered in a limiting sense, because numerous variations are possible.
Date regue/Date Received 2022-07-27 = .4\ =
[0088] The specific processes or methods described herein can represent one or more of any number of processing strategies. As such, various operations illustrated and/or described can be performed in the sequence illustrated and/or described, in other sequences, in parallel, or omitted. Likewise, the order of the above-described processes can be changed.
[0089] Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above.
Rather, the specific features and acts described above are presented as example forms of implementing the claims.
Date recue/Date Received 2022-07-27
communications protocols, P2P protocols, telephony protocols, and/or other network communication protocols), various authentication protocols, and/or various data types (web-based data types, audio data types, video data types, image data types, messaging data types, signaling data types, and/or other data types).
100381 Referring to FIG. 2 with continuing reference to the foregoing figures, an exemplary process, generally designated by the numeral 300, for implementing a pipe or pump cavitation control system is shown. The process 300 can be a computer-implemented method that is performed within the operating environment 5 shown in FIG. 1.
[0039] At 301, a monitoring device having a supervisory system is deployed on an outer surface of a tubular structure having fluid flowing therethrough. In this exemplary embodiment, the monitoring device is the surface monitoring kit 100 shown in FIG. 1. The supervisory system is the supervisory system 110 shown in FIG. 1.
[0040] At 302, the supervisory system measures the fluid flow parameters for the flowing fluid. In this exemplary embodiment, the supervisory system measures the fluid flow parameters of fluid flowing through the pipes 30 and/or the pumps 40.
[0041] At 303, the fluid flow parameters are sent to an artificial intelligence application residing on a computer system. In this exemplary embodiment, the artificial intelligence application can be the artificial intelligence application 212 residing on the server 200 shown in FIG. 1. Alternatively, the artificial intelligence application can reside on the network device 114 shown in FIG. 1.
[0042] At 304, the artificial intelligence application calculates the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters. In this exemplary embodiment, the artificial intelligence application is implemented using the processor 216 shown in FIG. 1 or through the use of the network device 114 shown in FIG. 1.
Date regue/Date Received 2022-07-27 .
Exemplary Cloud Architecture [0043] Referring to FIG. 3 with continuing reference to the foregoing figures, exemplary cloud architecture, generally designated by the numeral 400, for implementing a cavitation control and/or detection system is shown. In this exemplary embodiment, the architecture 400 can be implemented within the operating environment 5 shown in FIG. 1 to practice the method 300 shown in FIG. 2 using the surface monitoring kit 100 and the server 200 shown in FIG. 1.
[0044] Cloud computing provides computation, software, data access, and storage services that do not require end-user knowledge of the physical location or configuration of the system that delivers the services. In various embodiments, cloud computing delivers the services over a wide area network, such as the intemet, using appropriate protocols.
[0045] For instance, cloud computing providers deliver applications over a wide area network and they can be accessed through a web browser or any other computing component.
Software or components of architecture 400 as well as the corresponding data, can be stored on servers at a remote location. The computing resources in a cloud computing environment can be consolidated at a remote data center location or they can be dispersed.
Cloud computing infrastructures can deliver services through shared data centers, even though they appear as a single point of access for the user. Thus, the components and functions described herein can be provided from a service provider at a remote location using a cloud computing architecture. Alternatively, they can be provided from a conventional server, or they can be installed on client devices directly, or in other ways.
[0046] The description is intended to include both public cloud computing and private cloud computing. Cloud computing (both public and private) provides substantially seamless pooling of resources, as well as a reduced need to manage and configure underlying hardware infrastructure.
[0047] A public cloud is managed by a vendor and typically supports multiple consumers using the same infrastructure. Also, a public cloud, as opposed to a private cloud, can free up the end users from managing the hardware. A private cloud may be managed by the organization itself and the infrastructure is typically not shared with other organizations. The organization still maintains the hardware to some extent, such as installations and repairs, etc.
[0048] As shown in FIG. 3, the cloud architecture 400 includes a cloud 410. The cloud 410 (or each of the different premises on the cloud 410) can include a hardware layer 412, an infrastructure layer 414, a platform layer 416, and an application layer 418.
Date regue/Date Received 2022-07-27 =
[0049] A hypervisor 420 can illustratively manage or supervise a set of virtual machines 422 that can include a plurality of different, independent, virtual machines 424-426. Each virtual machine can illustratively be an isolated software container that has an operating system and an application inside it. It is illustratively decoupled from its host server by hypervisor 420. In addition, hypervisor 420 can spin up additional virtual machines or close virtual machines, based upon workload or other processing criteria.
[0050] A plurality of different client systems 428-430 (which can be end user systems or administrator systems, or both) can illustratively access cloud 410 over a network 432.
Depending upon the type of service being used by each of the client systems 428-430, cloud 410 may provide different levels of service. In one example, the users of the client systems are provided access to application software and databases. The cloud service then manages the infrastructure and platforms that run the application. This can be referred to as software as a service (or SaaS). The software providers operate application software in application layer 412 and end users access the software through the different client systems 428-430.
[0051] The cloud provider can also use platform layer 416 to provide a platform as a service (PaaS). This involves an operating system, programming language execution environment, database and webserver being provided to the client systems 428-430, as a service, from the cloud provider. Application developers then normally develop and run software applications on that cloud platform and the cloud provider manages the underlying hardware and infrastructure and software layers.
[0052] The cloud provider can also use infrastructure layer 414 to provide infrastructure as a service (IaaS). In such a service, physical or virtual machines and other resources are provided by the cloud provider, as a service. These resources are provided, on-demand, by the IaaS cloud provider, from large pools installed in data centers. In order to deploy the applications, the cloud users that use laaS install operating-system images and application software on the cloud infrastructure 400.
Exemplary Computer System [0053] Referring now to FIG. 4 with continuing reference to the forgoing figures, a computer system for an intelligent pipe or pump cavitation control system is generally shown according to one or more embodiments. The system 500 described herein can be implemented in hardware, software (e.g., firmware), or a combination thereof.
In an exemplary embodiment, the system 500 described herein is implemented in hardware as part of the microprocessor of a special or general-purpose digital computer, such as a personal Date regue/Date Received 2022-07-27 , computer, workstation, minicomputer, or mainframe computer. The system 500 therefore can include general-purpose computer or mainframe 501 capable of running multiple instances of an 0/S simultaneously.
[0054] In an exemplary embodiment, in terms of hardware architecture, as shown in FIG.
4, the computer 501 includes one or more processors 505, memory 510 coupled to a memory controller 515, and one or more input and/or output (I/O) devices 540, 545 (or peripherals) that are communicatively coupled via a local input/output controller 535. The input/output controller 535 can be, for example but not limited to, one or more buses or other wired or wireless connections, as is known in the art. The input/output controller 535 can have additional elements, which are omitted for simplicity, such as controllers, buffers (caches), drivers, repeaters, and receivers, to enable communications. Further, the local interface can include address, control, and/or data connections to enable appropriate communications among the aforementioned components. The input/output controller 535 can include a plurality of sub-channels configured to access the output devices 540 and 545.
The sub-channels can include fiber-optic communications ports.
[0055] The processor 505 is a hardware device for executing software, particularly that stored in storage 520, such as cache storage, or memory 510. The processor 505 can be any custom made or commercially available processor, a central processing unit (CPU), an auxiliary processor among several processors associated with the computer 501, a semiconductor based microprocessor (in the form of a microchip or chip set), a macroprocessor, or generally any device for executing instructions.
[0056] The memory 510 can include any one or combination of volatile memory elements (e.g., random access memory (RAM, such as DRAM, SRAM, SDRAM, etc.)) and nonvolatile memory elements (e.g., ROM, erasable programmable read only memory (EPROM), electronically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), tape, compact disc read only memory (CD-ROM), disk, diskette, cartridge, cassette or the like, etc.). Moreover, the memory 510 can incorporate electronic, magnetic, optical, and/or other types of storage media. Note that the memory 510 can have a distributed architecture, where various components are situated remote from one another, but can be accessed by the processor 505.
[0057] The instructions in memory 510 can include one or more separate programs, each of which comprises an ordered listing of executable instructions for implementing logical functions. In the example of FIG. 4, the instructions in the memory 510 a suitable operating system (OS) 511. The operating system 511 essentially controls the execution of other Date regue/Date Received 2022-07-27 = t .
computer programs and provides scheduling, input-output control, file and data management, memory management, and communication control and related services. In accordance with one or more embodiments, the memory 510 and/or an I/O device 545 can be used to store the file attribute tables and the data layers.
[0058] The memory 510 can include multiple logical partitions (LPARs) 512, each running an instance of an operating system. The LPARs 512 can be managed by a hypervisor, which can be a program stored in memory 510 and executed by the processor 505.
[0059] In an exemplary embodiment, a conventional keyboard 550 and mouse 555 can be coupled to the input/output controller 535. Other output devices such as the I/O devices 540, 545 can include input devices, for example but not limited to a printer, a scanner, microphone, and the like. Finally, the I/O devices 540, 545 can further include devices that communicate both inputs and outputs, for instance but not limited to, a network interface card (NIC) or modulator/demodulator (for accessing other files, devices, systems, or a network), a radio frequency (RF) or other transceiver, a telephonic interface, a bridge, a router, and the like. The system 500 can further include a display controller 525 coupled to a display 530. In an exemplary embodiment, the system 500 can further include a network interface 560 for coupling to a network 565. The network 565 can be an IP-based network for communication between the computer 501 and any external server, client and the like via a broadband connection. The network 565 transmits and receives data between the computer 501 and external systems. In an exemplary embodiment, network 565 can be a managed IP
network administered by a service provider. The network 565 can be implemented in a wireless fashion, e.g., using wireless protocols and technologies, such as WiFi, WiMax, etc. The network 565 can also be a packet-switched network such as a local area network, wide area network, metropolitan area network, Internet network, or other similar type of network environment. The network 565 can be a fixed wireless network, a wireless local area network (LAN), a wireless wide area network (WAN) a personal area network (PAN), a virtual private network (VPN), intranet or other suitable network system and includes equipment for receiving and transmitting signals.
[0060] If the computer 501 is a PC, workstation, intelligent device or the like, the instructions in the memory 510 can further include a basic input output system (BIOS) (omitted for simplicity). The BIOS is a set of essential software routines that initialize and test hardware at startup, start the OS 511, and support the transfer of data among the hardware devices. The BIOS is stored in ROM so that the BIOS can be executed when the computer 501 is activated.
Date regue/Date Received 2022-07-27 [0061] When the computer 501 is in operation, the processor 505 is configured to execute instructions stored within the memory 510, to communicate data to and from the memory 510, and to generally control operations of the computer 501 pursuant to the instructions.
[0062] In accordance with one or more embodiments described herein, the computer 501 can implement and/or perform the disclosed subject matter. As shown, computer 501 can include instructions in memory 510 for performing steps associated with the operating environment 5 shown in FIGS. I and/or Steps 301-304 of the method 300 shown in FIG. 2.
[0063] Further, it should be understood that some embodiments the server 200 shown in FIG. I can be implemented through cloud infrastructure, such as the cloud infrastructure 400 shown in FIG. 3, and/or through a conventional computer system, such as the computer system 500 shown in FIG. 4. In other embodiments, the server 200 shown in FIG.
I can be implemented in a hybrid cloud environment that includes cloud infrastructure, such as cloud infrastructure 400 shown in FIG. 3, and one or more computer systems, such computer system 500 shown in FIG. 4.
[0064] Additionally, it should be understood that the disclosed subject matter can be implemented as a system, a method, and/or a computer program product at any possible technical detail level of integration. The computer program product can include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out embodiments and features of the subject disclosure.
[0065] Computer readable storage mediums, as described herein, can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium can be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing.
A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic Date regue/Date Received 2022-07-27 . A .
waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire.
[0066] Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network can comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.
[0067] Computer readable program instructions for carrying out operations of the present disclosure can be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, configuration data for integrated circuitry, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C-HF, or the like, and procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) can execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to exploit features of the present disclosure.
10068] Embodiments and features of the subject disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products. It will be understood that each block of the flowchart Date regue/Date Received 2022-07-27 = it =
illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions.
[0069] These computer readable program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions can also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart and/or block diagram block or blocks.
[0070] The computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
[0071] The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the subject disclosure.
[0072] In this regard, each block in the flowchart or block diagrams can represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession can, in fact, be executed substantially concurrently, or the blocks can sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions.
Date regue/Date Received 2022-07-27 = .
Supported Features and Embodiments [0073] The detailed description provided above in connection with the appended drawings explicitly describes and supports various features of an intelligent pipe or pump cavitation control system. By way of illustration and not limitation, supported embodiments include a computer-implemented method for detecting cavitation in tubular structures containing flowing fluid, the computer-implemented method comprising:
deploying a monitoring device having a supervisory system on an outer surface of one of the tubular structures, measuring, with the supervisory system, fluid flow parameters for the flowing fluid, sending the fluid flow parameters to an artificial intelligence application residing on a computer system, and calculating, with the artificial intelligence application, the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
[0074] Supported embodiments include the foregoing computer-implemented method, further comprising: deploying, with the artificial intelligence application, a support-vector machine to determine the probability that cavitation is occurring within the flowing fluid.
[0075] Supported embodiments include any of the foregoing computer-implemented methods, wherein the monitoring device is removable.
[0076] Supported embodiments include any of the foregoing computer-implemented methods, further comprising: connecting the supervisory system to the computer system over a network.
[0077] Supported embodiments include any of the foregoing computer-implemented methods, further comprising: detecting vibration sounds with the supervisory system.
[0078] Supported embodiments include any of the foregoing computer-implemented methods, further comprising: varying the speed and pressure of the flowing fluid within the tubular structures.
[0079] Supported embodiments include any of the foregoing computer-implemented methods, further comprising: generating notifications relating to the probability that cavitation is occurring within the flowing fluid, and communicating the notifications to a user.
[0080] Supported embodiments include any of the foregoing computer-implemented methods, wherein the flow of the flowing fluid is controlled with a controller and wherein the supervisory system connects to the controller.
[0081] Supported embodiments include an apparatus for detecting cavitation in tubular structures containing flowing fluid, the apparatus comprising: a monitoring device having a supervisory system for measuring fluid flow parameters of the flowing fluid mounting on an Date regue/Date Received 2022-07-27 . A,.
outer surface of one of the tubular structures, and a computer system having memory having computer readable instructions and a processor for executing the computer readable instructions, the computer readable instructions including: receiving fluid flow parameters from the supervisory system, and implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
[0082] Supported embodiments include a computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by processing circuitry to cause the processing circuitry to perform the steps of: receiving fluid flow parameters for a flowing fluid within a tubular structure from a supervisory system within a monitoring device mounted on an outer surface of the tubular structure, and implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
[0083] Supported embodiments include a system, a computer-readable storage medium, and/or means for implementing any of the foregoing methods, apparatus, computer program products, or portions thereof.
[0084] Supported embodiments can provide various attendant and/or technical advantages in terms of an apparatus that detects and controls pipe and/or pump cavitation.
The apparatus utilizes a removable surface-installed monitoring kit that is portable and can be installed non-intrusively on surfaces. The apparatus includes a dedicated onboard supervisory system that reports the presence of the bubbles using a ML algorithm regardless of the plant control system topology and technology.
[0085] Supported embodiments include an apparatus that includes a kit that can be connected to a cloud computing system and can upload the collected information thereon.
Alternatively, the apparatus can calculate the probability of cavitation independently with an on-board artificial intelligence engine.
[0086] The detailed description provided above in connection with the appended drawings is intended as a description of examples and is not intended to represent the only forms in which the present examples can be constructed or utilized.
[0087] It is to be understood that the configurations and/or approaches described herein are exemplary in nature, and that the described embodiments, implementations and/or examples are not to be considered in a limiting sense, because numerous variations are possible.
Date regue/Date Received 2022-07-27 = .4\ =
[0088] The specific processes or methods described herein can represent one or more of any number of processing strategies. As such, various operations illustrated and/or described can be performed in the sequence illustrated and/or described, in other sequences, in parallel, or omitted. Likewise, the order of the above-described processes can be changed.
[0089] Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above.
Rather, the specific features and acts described above are presented as example forms of implementing the claims.
Date recue/Date Received 2022-07-27
Claims (10)
1. A computer-implemented method for detecting cavitation in tubular structures containing flowing fluid, the computer-implemented method comprising:
deploying a monitoring device having a supervisory system on an outer surface of one of the tubular structures, measuring, with the supervisory system, fluid flow parameters for the flowing fluid, sending the fluid flow parameters to an artificial intelligence application residing on a computer system, and calculating, with the artificial intelligence application, the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
deploying a monitoring device having a supervisory system on an outer surface of one of the tubular structures, measuring, with the supervisory system, fluid flow parameters for the flowing fluid, sending the fluid flow parameters to an artificial intelligence application residing on a computer system, and calculating, with the artificial intelligence application, the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
2. The computer-implemented method of claim 1, further comprising:
deploying, with the artificial intelligence application, a support-vector machine to determine the probability that cavitation is occurring within the flowing fluid.
deploying, with the artificial intelligence application, a support-vector machine to determine the probability that cavitation is occurring within the flowing fluid.
3. The computer-implemented method of claim 1, wherein the monitoring device is removable.
4. The computer-implemented method of claim 1, further comprising:
connecting the supervisory system to the computer system over a network.
connecting the supervisory system to the computer system over a network.
5. The computer-implemented method of claim 1, further comprising:
detecting vibration sounds with the supervisory system.
detecting vibration sounds with the supervisory system.
6. The computer-implemented method of claim 1, further comprising:
varying the speed and pressure of the flowing fluid within the tubular structures.
varying the speed and pressure of the flowing fluid within the tubular structures.
7. The computer-implemented method of claim 1, further comprising:
generating notifications relating to the probability that cavitation is occurring within the flowing fluid, and communicating the notifications to a user.
generating notifications relating to the probability that cavitation is occurring within the flowing fluid, and communicating the notifications to a user.
8. The computer-implemented method of claim 1, wherein the flow of the flowing fluid is controlled with a controller and wherein the supervisory system connects to the controller.
Date regue/Date Received 2022-07-27 4. At =
Date regue/Date Received 2022-07-27 4. At =
9. An apparatus for detecting cavitation in tubular structures containing flowing fluid, the apparatus comprising:
a monitoring device having a supervisory system for measuring fluid flow parameters of the flowing fluid mounting on an outer surface of one of the tubular structures, and a computer system having memory having computer readable instructions and a processor for executing the computer readable instructions, the computer readable instructions including:
receiving fluid flow parameters from the supervisory system, and implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
a monitoring device having a supervisory system for measuring fluid flow parameters of the flowing fluid mounting on an outer surface of one of the tubular structures, and a computer system having memory having computer readable instructions and a processor for executing the computer readable instructions, the computer readable instructions including:
receiving fluid flow parameters from the supervisory system, and implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
10. A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by processing circuitry to cause the processing circuitry to perform the steps of:
receiving fluid flow parameters for a flowing fluid within a tubular structure from a supervisory system within a monitoring device mounted on an outer surface of the tubular structure, and implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
Date regue/Date Received 2022-07-27
receiving fluid flow parameters for a flowing fluid within a tubular structure from a supervisory system within a monitoring device mounted on an outer surface of the tubular structure, and implementing an artificial intelligence application to calculate the probability that cavitation is occurring within the flowing fluid using the fluid flow parameters.
Date regue/Date Received 2022-07-27
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202163228302P | 2021-08-02 | 2021-08-02 | |
| US63/228,302 | 2021-08-02 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CA3169180A1 true CA3169180A1 (en) | 2023-02-02 |
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ID=85128615
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3169180A Pending CA3169180A1 (en) | 2021-08-02 | 2022-07-27 | Pipe or pump cavitation control system |
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| Country | Link |
|---|---|
| CA (1) | CA3169180A1 (en) |
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2022
- 2022-07-27 CA CA3169180A patent/CA3169180A1/en active Pending
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