WO2021133254A1 - Procédé et dispositif permettant une automatisation de processus robotique - Google Patents

Procédé et dispositif permettant une automatisation de processus robotique Download PDF

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Publication number
WO2021133254A1
WO2021133254A1 PCT/SG2020/050776 SG2020050776W WO2021133254A1 WO 2021133254 A1 WO2021133254 A1 WO 2021133254A1 SG 2020050776 W SG2020050776 W SG 2020050776W WO 2021133254 A1 WO2021133254 A1 WO 2021133254A1
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WIPO (PCT)
Prior art keywords
integrated processing
state transition
orchestrator
control system
planned state
Prior art date
Application number
PCT/SG2020/050776
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English (en)
Inventor
Asheesh MEHRA
Original Assignee
Antworks Pte. Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
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Application filed by Antworks Pte. Ltd. filed Critical Antworks Pte. Ltd.
Publication of WO2021133254A1 publication Critical patent/WO2021133254A1/fr

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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors

Definitions

  • the present invention relates to a method and system for automating a process in an enterprise by integrating Internet of Things (IOT) capabilities with process automation, and features security and remote monitoring management.
  • IOT Internet of Things
  • Robotic Process Automation is a business process automation technology based on metaphorical software robots (Bots) or artificial intelligence (Al) workers
  • An advantage of the method and system in accordance with this invention is the ability to easily embed a software module that can automate elements in a workflow. This allows the user to automate a process and do it quickly and efficiently.
  • the present invention provides a system and method for collaborative decision making in a robot process automation platform.
  • a control system comprising a software bot deployed on an integrated processing unit, a controller board interconnected with a plurality of integrated processing units, an orchestrator connected to the controller board, a network switch that allows the plurality of integrated processing units to transmit and receive data, and a power supply unit to supply electrical power to the integrated processing units, where the orchestrator is capable of configuring the software bot to begin a task.
  • the orchestrator is capable of configuring a plurality of software bots to begin a task.
  • the system has a network of sensors that transmit and receive data to the control system.
  • there is at least an expansion slot where a further controller board can be added where the further controller board is connected to the orchestrator.
  • the system has a Next Unit in Computing (NUC) component that is interconnected with the controller board.
  • NUC Next Unit in Computing
  • there are cooling means where the cooling means comprises of either a cooling fan or a heatsink.
  • there is a network protection system to protect against external attacks comprising one of an intrusion detection system, an intrusion prevention system, and/or a firewall system.
  • a method for collaborative decision making in a robot process automation platform comprising identifying a task to be carried out by an orchestrator, configuring at least a software bot deployed on an integrated processing unit to a task by an orchestrator, instructing the software bot to carry out the task until it is completed.
  • a method for collaborative decision making in a robot process automation platform comprising receiving a recommendation request message, receiving a further response based on the recommendation request message, determining whether to initiate a planned state transition based on the further response, approving the planned state transition, wherein the step of approving the planned state transition is carried out by an external device.
  • the method also has the step of analyzing a potential impact of the planned state transition based on a dependency tree of relationships. In yet other embodiments of the invention, the method also has the step of approving the planned state transition based on the potential impact. In yet further embodiments of the invention, the method includes the option of ignoring the recommendation request message. In a further embodiment of the invention, the method also has the step of designating a proxy member to approve the planned state transition. In yet further embodiments of the invention, the proxy member is activated when a integrated processing unit reaches a choke point. In an alternative embodiment of the invention, the method includes the step of advertising a decision indicating that a planned state transition will be initiated.
  • FIGS. 1A, 1 B, 1C, and 2C are illustrations of a portable hardware platform in accordance with an embodiment of the invention.
  • FIGS 2A and 2B are illustrations of an integrated processing unit in accordance with an embodiment of the invention.
  • Figure 3 is an illustration of the hardware architecture in accordance with an embodiment of the invention.
  • Figure 4 illustrates a representation of a network of data processing systems in which aspects of the disclosed embodiments may be implemented;
  • Figure 5 illustrates a schematic view of a software system for carrying out an embodiment.
  • a hardware platform that is portable that enables a user or a business process owner to embed any simple or complex RPA software module that can automate any elements in a workflow, infrastructure, back office process or front office routines which are labor intensive.
  • the smallest unit in the hardware platform is the integrated processing unit also known as the independent processing unit (IPU).
  • IPU independent processing unit
  • Each integrated processing unit has its own memory, both volatile and non-volatile, together with a processor and operating system to handle the digital workers or bots created by the RPA software platform.
  • Each integrated processing unit is able to host multiple digital workers or bots, depending on the complexity of the process that the bots are involved in, and each of the integrated processing units can be configured in different formats to suit the complexity and needs of the user.
  • each hardware platform 100 can has covers 220 can that be removed, and inside is shown to accommodate 50 integrated processing unitsl 15, 215, in the form of 10 integrated processing units 215 per vertical slide 110, 210.
  • Figure 1A shows the hardware platform 100 with the covers 220 installed.
  • Figures 1 B and 1C shows the hardware platform 100 with the covers 220 removed to expose the vertical slides or vertical slats 110, 210, and shows 5 such vertical slides 110, 210 installed within the hardware platform 100.
  • Each integrated processing unit 115, 215 can be plugged or removed in real time as they are connected in parallel to the backbone unit of the hardware platform 100.
  • the integrated processing unit 115, 215 hosts the digital workers or robots or bots that carry out automation assignments and tasks.
  • the integrated process unit 115, 215 plugs into a backbone PCB board or vertical slide 110, 210.
  • the digital workers or bots deployed in the integrated processing unit 110, 210 are activated and controlled by an orchestrator, also known as a queenbot, which resides on the same hardware platform 100.
  • the orchestrator can reside within the integrated process unit 115, 215.
  • the orchestrator enables remote publishing and deployment of bots and modules, and provides centralized control (including remotely) and monitoring to orchestrate the bots, and reports on the performance of the bots and their associated hardware.
  • These bots or RPA bots can be built using the orchestrator, and the orchestrator belongs to a suite of software products.
  • the bots carry out their role in a dedicated manner until the process comes to an end or instructed to do so.
  • the end user namely the enterprise can setup the Hardware platform effortlessly.
  • the hardware platform 100 has a footprint of 2 feet by 2 feet and requires a power source and a connectivity options such as LAN connectivity.
  • the hardware platform 100 also supports wireless connections through wifi.
  • KVM switches 312 keyboard, video, and mouse switches
  • KVM switches 312 are provided to allow any display device to be connected to the hardware platform 100 and allows the user to switch display from one IPU to another.
  • the hardware platform 100 communicates a network of interconnected devices, and these have their own sensors, software, network connectivity, and electronics to collect and exchange data, providing feedback to the hardware platform 100.
  • Hardware platform 100 takes a pentagonal shape and the internal hardware of Hardware platform has a provision of 50 slots , 10 slots on each side of pentagon to hold the Integrated Processing Units (IPUs).
  • IPUs Integrated Processing Units
  • Each Integrated Processing Unit has 2 USB ports, a LAN port RJ-45 with an Ethernet controller 1211 -AT, IEEE 802.3u ,IEEE 802.3 , a HDMI v1.4 port and a power source of 19v DC , it also comes with an Onboard storage of 128GB .
  • the dimension of the integrated processing unit is 94.5mm * 55mm * 5mm , it has also a support for mechanical security latch.
  • these integrated processing units 115, 215 are arranged vertically and are plugged to a backbone board 110, 210 which can be a typical printed circuit board (PCB).
  • the dimension of the backbone board is 60mm * 60mm
  • This backbone board has connectors to connect to the all GPIO ports of the integrated processing unit, and 5 such backbone boards or vertical slides 110 can be installed or provisioned on each side of the pentagon shaped hardware platform 100.
  • the PCB board runs different tracks which actually is a conductive path to connect different points in the PCB board.
  • the vertical slide 110, 210 also has a heat sink 217 to dissipate heat generated by the integrated processing units, as shown in Figure 2B.
  • a provision is given to accommodate a controller that is designed to control all individual Integrated Processing Unit, and this can be the orchestrator.
  • a Network switch which in turns connects to the LAN RJ-45 of each integrated processing unit, a 3 switchmode power supply (SMPS) accomodating 12v,125 amps is also available to regulate the power supplied to the integrated processing units.
  • SMPS switchmode power supply
  • Heat sink and fans 217 are provided on the backbone board to dissipate the heat which is generated from the computer card out. These integrated processing units are designed to run the BOT’s continuously in a dedicated mode and the heat sink mechanism avoids the hung state and ensures longevity of the operational devices.
  • the hardware platform can also be viewed in semi-exploded form in Figure 2C, where the cover 220 is shown removed, with a PC card 222 removed from the backbone board 228 (still installed) and the bottom cover 226 removed to show space 224 for a control unit, network switch and/or SMPS (not shown).
  • the PC card 222 is also known as an integrated processing unit.
  • a unique networking layer is present to differentiate the bots deployed for automating processes.
  • a hardware access layer (HAL) is present to access and configure all hardware ports.
  • An IOT layer enables all comprehensive IOT protocols to be run for the hardware platform to communicate with the various IOT devices.
  • IOT device can be any sensor that is providing information or data, and can range from a thermostat in a house to any connected device in a network or enterprise and the data provided can be in various forms accordingly.
  • FIG. 3 The overall system architecture is shown in Figure 3, where the various integrated processing units can be shown installed on the 5 backbone boards 310 with the KVM switches 312 installed and the various connections made to the Control center (NUC) 315, a 4x12 line multiplexer 320, a cooling fan (3/4 inch) 330, a three switchmode power supply (SMPS) 340 connecting to an AC power supply 360 with a double RJ-45 switch 350.
  • the KVM switch 312 has ports to enable connectivity to other devices, including a USB port, a HDMI port and microswitches to enable the same.
  • Next Unit in Computing (NUC) is a line of small-form-factor barebone computer kit.
  • the barebone kits consist of the board, in a plastic case with a fan, an external power supply, and a VESA mounting plate.
  • Our invention uses Skylake-based Swift Canyon Intel NUC (NUC6i3SYH) model.
  • This NUC model includes:
  • the data stored on the integrated process unit can be encrypted for security purposes and any data communicated with the integrated process units are protected from threats and sniffs. Other measures of protection from common vulnerabilities and exposures (CVE) are also in place to protect from external attacks.
  • CVE common vulnerabilities and exposures
  • the encryption of confidential information being transmitted over internet connections with a strength of minimum AES 256 bit or TLS 1.0/TLS 1.1.
  • the hardware platform 100 also implements Intrusion Detection System (IDS) and Intrusion Prevention System (IPS) technology and firewall protection against external attacks or to block illegitimate traffic, including host firewall protection.
  • the hardware platform 100 has hardware tamper protection as well as protection against application tampering.
  • the hardware platform is embedded with sanitized RPA application preventing intrusion, which prevents modification or removal of sensitive data.
  • the hardware platform is hardened against known vulnerabilities and configuration issues.
  • the embedded software includes a trusted server certificate.
  • the embedded software can be built upon dynamic linking libraries (dlls), which are proprietary code packaged in the form of shared code libraries, and these libraries can be encrypted or confused.
  • the hardware platform also has physical decapping of chip packages to optically read NVRAM contents.
  • Various encryption measures are installed in the hardware platform, including approved hash functions, approved signature algorithms, approved encryption algorithms, approved key exchange algorithms. Further, approved pseudo random functions (PRF) can be used for key derivation. Application security is achieved in accordance with industry standard best practices, such as OWASP.
  • the hardware platform allows various modes of interfacing, including a remote user interface.
  • Other forms of user interfaces include a multi-modal user interface that accommodates user interfaces such as a smart phone, a wall panel, a computer, and/or a server, as well as a sensor interface.
  • the hardware platform also has a device interface and various examples of this include a serial interface, an Ethernet interface, a LonWorks protocol interface, an X10 protocol interface, a wireless interface, a HTTP server, and a line of sight interface.
  • the IPU and NUC can have an attached interface, which means any of the ports and controls can be decoded in case of failure.
  • the hardware platform is able to communicate via Bluetooth, wifi, z-wave, and zigbee protocols. Additional hardware platforms can communicate with each other using a wireless network communication medium, and this communication can be carried out securely using encryption or cryptographic elements.
  • the hardware platform 100 also has an interaction guide library, which stores a plurality of interaction rule objects according to a location specific indexing scheme, and the interaction rule objects has device interaction rules, these device interaction rules depend on the observed data.
  • the method for collaborative decision making for a hardware platform begins with transmitting a recommendation request message to a hardware platform, and the recommendation request message indicates a planned state transition.
  • the recommendation request can be in the form of 8 bit information where the first two bits are indicators for the client, the next two bits are for the IPU dedicated for the process, and the next two bits consist of the message code through which the message content is intercepted.
  • Based on the recommendation request message at least one or more response is received by the hardware platform, and the response includes feedback about the planned state transition from the hardware platform responding to the recommendation request message.
  • the hardware platform determines whether to initiate the planned state transition based on the responses to the recommendation request message.
  • the method can also include planning the state transition based on a local decision-making algorithm.
  • the method also has a Boolean value in the response(s) to the recommendation request message that indicates whether the responding member IOT devices approve or disapprove the planned state transition.
  • the approval process is based around business rules that are set and based on thresholds, and the trigger is sent to the IOT device for approval.
  • the method includes a fuzzy logic value in the response(s) to the recommendation request message to indicate a degree to which the responding member IOT device approves or disapproves the planned state transition.
  • the hardware platform is also able to analyze a potential impact associated with the planned state transition based on a dependency tree that describes relationship among the members in the group and determines whether to approve or disapprove the planned state transition based on the potential impact.
  • the hardware platform can ignore the recommendation request message accordingly.
  • the method allows a proxy member to be designate that determines whether to approve or disapprove the planned state transition on behalf of the member. Every member has a proxy nominated and the conditions where a proxy gets activated is that: when an IPU reaches a choke point with more requests (or transactions) coming in, typically in an enterprise 1 million simultaneous transactions will become a choke point; the second condition is when there is a failure in physical IPU.
  • the method also is able to advertise a final decision indicating that the planned state transition will be initiated to the member devices in the group and initiating the planned state transition subsequent to advertising the final decision.
  • the final decision is arrived based on the rules set by that enterprise and the thresholds learnt by the engine.
  • the final decision indicating that planned state transition will not be initiated to a member in the group can also be advertised.
  • the method also includes receiving an unsolicited recommendation from one member in the group which indicates an operational state associated with a member and deciding to not initiate the planned state transition in response to determining that the planned state transition has a potential adverse impact on the operational state associated with the member that sent the unsolicited recommendation.
  • a collaborative group-based decision making method which can be executed via computer-executable instructions on a hardware platform can cause the hardware platform to transmit a recommendation request message to a member in the group wherein the member is another hardware platform and the recommendation request message indicates a planned state transition. This is followed by the receiving of responses to the recommendation request message, and the response(s) include feedback regarding the planned state transition from the member responding to the recommendation request message, and then to determine whether to initiate the planned state transition based on the responses to the recommendation request message.
  • the hardware platform can include a controller (or a queenbot) that has a discoverer module that is able to aggregate the recorded actions of the users from discrete machines.
  • These recorded actions may include all actions required to carry out the various tasks including a mouse click, text input, or any other actions required or carried out by the applications. These are sequenced, analyzed and processed by the machine learning model which produces maps, lists of automatable tasks and the coverage of automation.
  • This discoverer module allows the user to identify the automatable parts of the process either in whole or in part which can then be built and deployed in the integrated processing units.
  • the hardware platform also incorporates a bot builder unit within the controller (or queenbot), that is able to build bots using pre-built or pre written components which are available as a component library. A user is able to drag and drop such components into the necessary process without the need to write any code or further instructions.
  • the hardware platform also goes beyond basic RPA routines and accommodates various important aspects of integrated automation platform, knowledge building, correlated content mapping, and suggesting intelligent routes to increase propensity of automation, and provides a scalability factor, both in the vertical and horizontal direction.
  • the hardware platform is able to provide comprehensive reporting and a host of new features for measuring, managing and enhancing the productivity of the bots, including the controller or orchestrator using multi-tenancy, cognitive responsiveness, a real-time digital workforce management to improve productivity.
  • the hardware platform is able to ensure continuation of work without the bots pausing or stopping whenever an exception occurs in a target application hosted in a target machine, and the exception can be user interface changes, data layer changes, hardware failures or even network downtime.
  • the bots deployed in the integrated processing units can be used to execute any process and the platform monitors the bots in synchronous mode with the states of each bot identified. This assists in allocation and assignment of work in real time and allows the bots to be put to work continuously, while being managed by the controller or orchestrator. Collaboration between bots and the user can be done in synchronous mode, and multiple bots can reside in a single IPU and perform different tasks and processes simultaneously.
  • the orchestrator alerts the user and logs the event, and alternative bots residing in a different IPU can be activated or resurrected depending on their state, with the work reassigned to them. This allows an automated recovery of the process due to hardware failure and is part of the business continuity plan.
  • the platform has an built in credential vault to facilitate data in motion and data at rest, which are stored and transmitted within the platform, and these are encrypted.
  • the credential vault secures the process data and is able to connect to third party security applications.
  • the software platform provides actionable metric and supports Al enabled decision making routines, including hidden patterns accurate predictions or forecasts which are not rule based but descriptive.
  • a centralized dashboard to manage and monitor the performance of the bots is also present.
  • FIG. 4 shows a hardware platform system in accordance with an embodiment of the invention is illustrated.
  • the system 410 includes a server 412.
  • the server 412 can be any processing device including a processor and sufficient resources to perform the process of providing communicating between hardware platforms.
  • the server 412 can be any processing device including a processor and sufficient resources to perform the various processes.
  • the server 412 is connected to an HTTP server 414.
  • HTTP server 414 uses HTTP or any other appropriate stateless protocols to communicate via a network 416 such as the Internet, with any other device connected to the network 416.
  • user devices include personal computers 418, CE players, and mobile phones 420.
  • user devices can include consumer electronic devices such as televisions, set top boxes, video game consoles, tablets, and other devices that are capable of connecting to a server via HTTP and playing back encoded media.
  • a storage unit 430 which can be in the form of memory, databases etc., is in communication with the network 416.
  • FIG. 5 Some process for providing methods and systems in accordance with embodiments of this invention are executed by a user device or user mobile device.
  • the relevant components in a playback device that can perform processes including adaptive streaming processes in accordance with embodiments of the invention are shown in Figure 5.
  • user device 500 may include other components that are omitted for brevity without departing from the embodiments of the invention as described.
  • the user device 500 includes a processor 505, a non-volatile memory 510, and a volatile memory 515.
  • the processor 505 is a processor, microprocessor, controller, or a combination of processors, microprocessor, and/or controllers that performs instructions stored in the volatile 515 or non-volatile memory 510 to manipulate data stored in the memory.
  • the non-volatile memory 510 can store processor instructions utilized to configure the user device 500 to perform processes including processes in accordance with embodiments of the invention and/or data for the processes being utilized.
  • the user device software and/or firmware can be stored in any of a variety of non- transitory computer readable media appropriate to a specific application.
  • the communications network refers to any contact between the parties described and is accomplished through any suitable communication means, including, but not limited to, a telephone network, public switch telephone network, intranet, Internet, extranet, WAN, LAN, point of interaction device, point of sale device, personal digital assistant, cellular phone, kiosk terminal, automated teller machine (ATM), etc.), online communications, off-line communications, wireless communications, satellite communications, and/or the like.
  • any databases, systems, or components of the present invention may consist of any combination of databases or components at a single location or at multiple locations, where each database or system includes any of various suitable security features, such as firewalls, access codes, encryption, de-encryption, compression, decompression, and/or the like.
  • the present invention can be implemented with special purpose computers, devices, and servers that are programmed to implement the embodiments described herein. Further, the system according to the embodiments disclosed herein is able accommodate many more combinations and permutations, or future developments. For example, the system according to the embodiments disclosed herein can accommodate Artificial Intelligence based systems or heuristic algorithms to have better decision making or to generate or control the various bots and hardware platforms. [0050] Thus, the present invention has been fully described with reference to the drawing figures. Although the invention has been described based upon these preferred embodiments, to those of skill in the art, certain modifications, variations, and alternative constructions would be apparent, while remaining within the spirit and scope of the invention. In order to determine the metes and bounds of the invention, therefore, reference should be made to the appended claims.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Computer And Data Communications (AREA)

Abstract

Un système de commande et un procédé de prise de décision collaborative dans une plate-forme d'automatisation de processus robotisé sont équipés d'un robot logiciel déployé sur une unité de traitement intégrée, une carte de commande interconnectée avec une pluralité d'unités de traitement intégrées, un orchestrateur connecté à la carte de commande, un commutateur de réseau qui permet à la pluralité d'unités de traitement intégrées de transmettre et de recevoir des données, et une unité d'alimentation électrique pour fournir de l'énergie électrique aux unités de traitement intégrées, l'orchestrateur étant capable de configurer le robot logiciel pour commencer une tâche.
PCT/SG2020/050776 2019-12-23 2020-12-23 Procédé et dispositif permettant une automatisation de processus robotique WO2021133254A1 (fr)

Applications Claiming Priority (2)

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SG10201912975Q 2019-12-23
SG10201912975QA SG10201912975QA (en) 2019-12-23 2019-12-23 IOT enabled smarter RPA ecosystem

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WO2021133254A1 true WO2021133254A1 (fr) 2021-07-01

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WO2023151303A1 (fr) * 2022-02-09 2023-08-17 达而观信息科技（上海）有限公司 Système et procédé d'automatisation de processus robotique à travers des systèmes d'exploitation

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