WO2024046433A1 - 结合rpa和ai实现ia的防疫监督方法、装置及电子设备 - Google Patents

结合rpa和ai实现ia的防疫监督方法、装置及电子设备 Download PDF

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Publication number
WO2024046433A1
WO2024046433A1 PCT/CN2023/116250 CN2023116250W WO2024046433A1 WO 2024046433 A1 WO2024046433 A1 WO 2024046433A1 CN 2023116250 W CN2023116250 W CN 2023116250W WO 2024046433 A1 WO2024046433 A1 WO 2024046433A1
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Prior art keywords
epidemic prevention
target place
video
platform
surveillance
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PCT/CN2023/116250
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English (en)
French (fr)
Inventor
刘鹏
李玮
刘敬帅
顾逸澄
张鹏
Original Assignee
北京来也网络科技有限公司
来也科技(北京)有限公司
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Publication of WO2024046433A1 publication Critical patent/WO2024046433A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items

Definitions

  • This application relates to the technical fields of robotic process automation, artificial intelligence and intelligent automation, and in particular to an epidemic prevention supervision method, device and electronic equipment that combines RPA and AI to realize IA.
  • Robotic Process Automation uses specific "robot software” to simulate human operations on a computer and automatically execute process tasks according to rules.
  • AI Artificial Intelligence
  • Intelligent Automation is a general term for a series of technologies from robotic process automation to artificial intelligence. It combines RPA with Optical Character Recognition (OCR), Intelligent Character Recognition (ICR), process mining ( Process Mining), Deep Learning (Deep Learning, DL), Machine Learning (ML), Natural Language Processing (NLP), Speech Recognition (Automatic Speech Recognition, ASR), Speech Synthesis (Text To Speech, TTS), Computer Vision (CV) and other AI technologies are combined to create end-to-end business processes that can think, learn and adapt, covering process discovery, process automation, and automatic and continuous data collection Collect and understand the meaning of data, and use data to manage and optimize the entire process of business processes.
  • OCR Optical Character Recognition
  • ICR Intelligent Character Recognition
  • process mining Process Mining
  • Deep Learning Deep Learning
  • ML Machine Learning
  • NLP Natural Language Processing
  • Speech Recognition Automatic Speech Recognition, ASR
  • Speech Synthesis Text To Speech, TTS
  • Computer Vision Computer Vision
  • epidemic infectious diseases are highly contagious diseases. Once an epidemic breaks out, a huge number of infected people will be involved.
  • the epidemic prevention department In order to effectively prevent and control the epidemic, the epidemic prevention department usually requires various places to register the identity information of people entering, and the epidemic prevention department will supervise whether various places strictly implement the epidemic prevention work.
  • Related technology usually involves manually checking the performance of epidemic prevention work in various places based on surveillance videos of entrance locations of various places. This method of epidemic prevention supervision has high labor costs and low efficiency.
  • This application provides an epidemic prevention supervision method, device and electronic equipment that combines RPA and AI to implement IA, to solve the technical problems of high labor costs and low efficiency in epidemic prevention supervision methods in related technologies.
  • the first embodiment of the present application provides an epidemic prevention supervision method that combines RPA and AI to implement IA, which is applied to RPA robots.
  • the method includes: based on AI technology, obtaining the first number of people entering the target place within a preset time period; obtaining The second number of people who have registered information at the target place within the preset time period; based on the first number and the second number, determine whether the target place meets the requirements for epidemic prevention work.
  • obtaining the first number of people entering the target place within a preset time period includes: logging into a video surveillance platform; obtaining the first number from the video surveillance platform, and the first The quantity is obtained by video analysis of the surveillance video at the entrance of the target place by the video surveillance platform based on computer vision CV technology; or by obtaining the surveillance video from the video surveillance platform and based on the Computer Vision CV Technology technique, perform video analysis on the surveillance video to obtain the first quantity.
  • obtaining the second number of people who have registered information at the target location within a preset time period includes: sending a query request to the information management platform through a query interface provided by the information management platform, and the query request is used to obtain the information from the target location. Obtain the second quantity from the information management platform; receive the second quantity returned by the information management platform.
  • determining whether the target place meets the requirements for epidemic prevention work includes: determining the ratio of the second quantity to the first quantity; if the ratio is greater than a preset threshold, determining the target place Meet the requirements for epidemic prevention work; when the ratio is not greater than the preset threshold, it is determined that the target place does not meet the requirements for epidemic prevention work.
  • the method further includes: if the target place does not meet the epidemic prevention requirements, log in to the grid management platform; A centralized management platform is used to issue work orders to the grid operators corresponding to the target site so that the grid operators can conduct on-site management of the target site.
  • the second embodiment of the present application provides an epidemic prevention supervision device that combines RPA and AI to implement IA, which is applied to RPA robots.
  • the device includes: a first acquisition module, used to acquire, based on AI technology, the number of people entering the target place within a preset time period. The first number of people; the second acquisition module is used to obtain the second number of people who register information at the target place within a preset time period; the determination module is used to determine the target place based on the first number and the second number Whether it meets the requirements for epidemic prevention work.
  • the first acquisition module includes: a login unit, used to log in to the video surveillance platform; and an acquisition unit, used to obtain the first quantity from the video surveillance platform, where the first quantity is the A video surveillance platform, based on computer vision CV technology, obtained by video analysis of the surveillance video at the entrance location of the target place; or, used to obtain the surveillance video from the video surveillance platform, and based on the computer vision CV Technology, perform video analysis on the surveillance video to obtain the first quantity.
  • the second acquisition module includes: a sending unit, configured to send a query request to the information management platform through a query interface provided by the information management platform, where the query request is used to obtain the second quantity from the information management platform; receiving Unit, configured to receive the second quantity returned by the information management platform.
  • the determination module includes: a first determination unit, used to determine the ratio of the second quantity to the first quantity; a second determination unit, used to determine that the target place meets the requirements when the ratio is greater than a preset threshold. Epidemic prevention work requirements; the third determination unit is used to determine that the target place does not meet the epidemic prevention work requirements when the ratio is not greater than the preset threshold.
  • the epidemic prevention supervision device that combines RPA and AI to implement IA also includes: a login module for logging into the grid management platform when the target site does not meet the requirements for epidemic prevention work; a processing module for through the network
  • the grid management platform issues work orders to the grid operators corresponding to the target site so that the grid operators can conduct on-site management of the target site.
  • the third embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the computer program, the first step of the application is implemented.
  • the fourth embodiment of the present application provides a computer-readable storage medium on which a computer program is stored.
  • the computer program is executed by a processor, the method described in the first embodiment of the present application is implemented.
  • the fifth embodiment of the present application provides a computer program product, which includes a computer program. When executed by a processor, the computer program implements the method described in the first embodiment of the present application.
  • the RPA robot Based on AI technology, the RPA robot obtains the first number of people who enter the target place within a preset time period, and obtains the second number of people who register information at the target place within a preset time period, and then based on the first number and The second quantity determines whether the target place meets the requirements for epidemic prevention work, and realizes the supervision of the epidemic prevention work at the target place through RPA combined with AI instead of manual IA, which reduces the labor costs required for epidemic prevention supervision and improves the efficiency of epidemic prevention supervision.
  • Figure 1 is a schematic flow chart of an epidemic prevention supervision method that combines RPA and AI to implement IA according to an embodiment of the present application;
  • Figure 2 is a schematic flow chart of an epidemic prevention supervision method that combines RPA and AI to implement IA according to an embodiment of the present application;
  • Figure 3 is an example diagram of the connection between an RPA robot and other platforms according to an embodiment of the present application
  • Figure 4 is a schematic flow chart of an epidemic prevention supervision method that combines RPA and AI to implement IA according to an embodiment of the present application;
  • Figure 5 is a schematic structural diagram of an epidemic prevention supervision device that combines RPA and AI to implement IA according to an embodiment of the present application;
  • Figure 6 is a block diagram of an electronic device used to implement an epidemic prevention supervision method that combines RPA and AI to implement IA according to an embodiment of the present application.
  • epidemic prevention departments usually require various places to register the identity information of people entering. For example, staff in various places need to require entering people to scan the place code of the place to register identity information.
  • monitoring equipment is usually installed at the entrances of various places to collect surveillance videos at the entrances, and then manually view the surveillance videos. According to the surveillance videos, Manually determine whether the staff of various places require entering personnel to scan the place code of the place to determine whether the various places Meet the requirements for epidemic prevention work. This method of epidemic prevention supervision has high labor costs and low efficiency.
  • This application provides an idea to combine RPA and AI to replace manual IA for epidemic prevention supervision.
  • the RPA robot can obtain the first number of people who enter the target place within a preset time period based on AI technology, and obtain the second number of people who register information at the target place within the preset time period, and then based on the first The quantity and the second quantity determine whether the target place meets the requirements for epidemic prevention work.
  • RPA combined with AI replaces manual IA to supervise the epidemic prevention work in the target place, reducing the labor costs required for epidemic prevention supervision and improving the efficiency of epidemic prevention supervision.
  • RPA robot refers to a software robot that can combine AI technology and RPA technology to automatically perform business processing.
  • RPA robots have two characteristics: “connector” and “non-intrusion”. By simulating human operation methods, they can extract, integrate and connect data from different systems in a non-intrusive way without changing the information system.
  • place code is a proprietary QR code used by people to enter key places. It is an independent identification code generated by the platform for key places. By scanning the place code, the information of all persons entering and leaving the place can be automatically registered, and the health card status of the persons entering and leaving the place at that time will also be displayed. Place codes can more accurately prevent and control epidemics. The place code will show the location, name and time when entering the key place. In this way, once a confirmed case is discovered later, people who may be at risk can be quickly identified to avoid the spread of the epidemic.
  • video surveillance platform refers to the management platform of surveillance equipment.
  • the surveillance videos collected by each surveillance equipment can be uniformly stored in the corresponding video surveillance platform.
  • information management platform refers to a platform that registers, saves, and manages personnel's identity information.
  • the information management platform can be a health code management platform. After a person scans the location code of a certain place through a mobile phone or other electronic device, the health code management platform can automatically register the person's identity information, the person's location when entering the place, Venue name, entry time and other information.
  • grid management platform refers to the division of urban management jurisdiction into unit grids according to certain standards, and the management of population, housing, places, community public service facilities, etc. in each unit grid.
  • the grid management platform can include relevant information of the grid administrator (i.e., grid member) of each unit grid, such as the identity information and contact information of the grid member.
  • Figure 1 is a flow chart of an epidemic prevention supervision method that combines RPA and AI to implement IA according to an embodiment of the present application. As shown in Figure 1, the method may include the following steps:
  • Step 101 Based on AI technology, obtain the first number of people entering the target place within a preset time period.
  • the epidemic prevention supervision method that combines RPA and AI to implement IA in the embodiment of the present application can be executed by an epidemic prevention supervision device that combines RPA and AI to implement IA.
  • an epidemic prevention supervision device that combines RPA and AI to implement IA will be used.
  • the epidemic prevention supervision device can be implemented by an RPA robot.
  • the epidemic prevention supervision device can be an RPA robot, or the epidemic prevention supervision device can be configured in an RPA robot. This application does not limit this.
  • the RPA robot may be configured in an electronic device, which may include but is not limited to a terminal device, a server, etc. This embodiment does not specifically limit the electronic device.
  • the epidemic prevention supervision device is an RPA robot installed in a terminal device as an example.
  • the RPA robot in this embodiment can execute this method in real time during a specific time period or throughout the day, and this application does not limit this.
  • specific time periods can be set as needed.
  • the above-mentioned RPA robot may also be started based on receiving a start instruction.
  • staff in the epidemic prevention department can trigger the above-mentioned startup instructions for the RPA robot through dialogue.
  • triggering the startup instruction for the RPA robot can be achieved in a variety of ways.
  • the startup instruction for the RPA robot can be triggered by voice and/or text.
  • it can also be triggered by triggering the specified control on the human-computer interaction interface.
  • method to trigger the startup command of the RPA robot which is not specifically limited in the embodiments of the present application.
  • the preset time period can be set as needed, for example, it can be 1 hour, one day, 2 days, etc. This application does not limit this.
  • the target location may be one location or multiple locations, and this application does not limit this.
  • the target places can be set as needed, for example, they can be places in a certain urban area of a certain city.
  • the RPA robot can run 24/7 and obtain the first number of people who entered the target location on the previous day at a specific time every day based on AI technology.
  • Step 102 Obtain the second number of people who have registered information at the target location within a preset time period.
  • step 101 and step 102 can be executed at the same time, or step 101 can be executed first and then step 102, or step 102 can be executed first and then step 101.
  • This application does not limit the execution timing of step 101 and step 102. Just before 103.
  • Step 103 Based on the first quantity and the second quantity, determine whether the target place meets the requirements for epidemic prevention work.
  • the embodiments of this application provide an epidemic prevention supervision method that combines RPA and AI to implement IA.
  • the RPA robot obtains the first number of people entering the target place within a preset time period, and obtains the number of people entering the target place within the preset time period.
  • the second number of people registering information is used to determine whether the target place meets the requirements for epidemic prevention work based on the first number and the second number.
  • RPA combined with AI replaces manual IA to supervise the epidemic prevention work in the target place, reducing the labor costs required for epidemic prevention supervision and improving the efficiency of epidemic prevention supervision.
  • Figure 2 is a flow chart of an epidemic prevention supervision method that combines RPA and AI to implement IA according to another embodiment of the present application. As shown in Figure 2, the method includes:
  • Step 201 Log in to the video surveillance platform.
  • Step 202 Obtain the first number of people entering the target place within the preset time period from the video surveillance platform; the first number is the video surveillance platform, based on computer vision CV technology, which monitors the surveillance video of the entrance location of the target place. Obtained from frequency analysis.
  • a surveillance device such as a camera is installed at the entrance of the target place.
  • the surveillance device can collect surveillance video of the entrance of the target place and send the collected surveillance video to the video surveillance platform.
  • the video surveillance platform can perform video analysis on the surveillance video at the entrance of the target place based on computer vision CV technology, and obtain the first number of people entering the target place within a preset time period.
  • the RPA robot can simulate human labor, log in to the video surveillance platform through the client of the video surveillance platform, and obtain the first quantity from the video surveillance platform.
  • the video surveillance platform can perform human flow statistics on surveillance videos based on CV technology to obtain the first number of people entering the target place within a preset time period.
  • the video surveillance platform's process of counting people's flow on surveillance videos based on CV technology can include: dividing the surveillance videos into frames to obtain multiple frames of surveillance images; scanning the current frame of surveillance images based on the information in the standard human body template database to obtain the current The human body template in the frame surveillance image, where the human body corresponding to the human body template is a human body that has not appeared in the previous frame surveillance image, and the human body template in the current frame surveillance image is compared with the same human body template in the previous frame surveillance image. Compare and obtain the forward direction corresponding to the human body template in the current frame surveillance image; determine whether the forward direction is the direction into the target place, and if so, add one to the count.
  • the information of the standard human body template database may include information of multiple standard human body templates classified according to gender, age, region, etc.
  • the initial value of the count is 0.
  • the final count is the first number of people entering the target place within the preset time period.
  • the RPA robot can use a non-intrusive connection method to obtain the first number of people entering the target place within a preset time period from the video surveillance platform.
  • a surveillance device such as a camera is installed at the entrance of the target place.
  • the surveillance device can collect surveillance video of the entrance of the target place and send the collected surveillance video to the video surveillance platform.
  • the RPA robot can log in to the video surveillance platform and obtain the surveillance video of the entrance location of the target place from the video surveillance platform.
  • the RPA robot can then perform video analysis on the surveillance video based on computer vision CV technology to obtain information about entering the target place within a preset time period. The first number of personnel.
  • step 202 can be replaced with the following steps: obtaining the surveillance video of the entrance location of the target place from the video surveillance platform, and performing video analysis on the surveillance video based on computer vision CV technology to obtain the first quantity.
  • the RPA robot can perform human flow statistics on surveillance videos based on CV technology to obtain the first number of people entering the target place within a preset time period.
  • the process of the RPA robot counting people's flow on surveillance videos based on CV technology can be referred to the process of counting people's flow on surveillance videos on the video surveillance platform, which will not be described again here.
  • the RPA robot can use a non-intrusive connection method to obtain the surveillance video of the entrance location of the target place from the video surveillance platform, and then obtain the first number of people entering the target place within a preset time period based on computer vision CV technology. .
  • Step 203 Send a query request to the information management platform through the query interface provided by the information management platform.
  • the query request is used to obtain the second number of people who have registered information at the target location within the preset time period from the information management platform.
  • Step 204 Receive the second quantity returned by the information management platform.
  • people entering the target place can register information at the target place by scanning the place code or other methods.
  • the information management platform can obtain the identity information and registration time of the persons who registered information at the target place, and then count the second number of persons who registered information at the target place within the preset time period.
  • the information management platform can provide a query interface, which can be used to query relevant data of persons who have registered information in various places. Therefore, the RPA robot can send a query request to the information management platform through the query interface. The query request is used to obtain the second number of people who registered information at the target location within the preset time period from the information management platform, and receive the information management The second number returned by the platform.
  • the RPA robot can obtain the second number of people who have registered information at the target location within a preset time period from the information management platform through interface query.
  • Step 205 Based on the first quantity and the second quantity, determine whether the target place meets the requirements for epidemic prevention work.
  • the requirements for epidemic prevention work refer to the requirements of the epidemic prevention department for epidemic prevention work in target places.
  • the RPA robot can determine the ratio of the second quantity to the first quantity, and determine whether the ratio is greater than a preset threshold. When the ratio is greater than the preset threshold, the RPA robot can determine that the target place meets the requirements for epidemic prevention work; when the ratio is not greater than the preset threshold, the RPA robot can determine that the target place does not meet the requirements for epidemic prevention work.
  • the preset threshold can be set according to the requirements of epidemic prevention work, for example, set to 90%, 95%, etc.
  • Step 206 If the target location does not meet the requirements for epidemic prevention work, log in to the grid management platform.
  • Step 207 Issue a work order to the grid operator corresponding to the target site through the grid management platform, so that the grid operator can conduct on-site management of the target site.
  • the RPA robot when the RPA robot determines that the target place does not meet the requirements for epidemic prevention work, it can simulate human labor and log in to the grid management platform through the client of the grid management platform to perform operations according to the grid
  • the information saved in the management platform determines the grid to which the target site belongs and the corresponding grid member, and then issues a work order to the grid member corresponding to the target site through the grid management platform so that the grid member can go to the target site. , conduct on-site management of target locations.
  • high-definition cameras are installed at the entrances of 47 places, and the high-definition cameras can send the collected surveillance videos to the video surveillance platform.
  • the entrances of these 47 places are equipped with place codes. Entrants can register information at the corresponding places by scanning the place codes, etc., and the identity information and registration time of registered persons will be saved on the information management platform, and information management
  • the platform provides a query interface. The relevant information of the grid members of the grid to which the 47 places belong is stored in the grid management platform.
  • the RPA robot can automatically open and log in to the video surveillance platform at regular intervals (step 401), and query the number of people who entered the 47 places on the previous day from the video surveillance platform to obtain the number of people who entered the 47 places on the previous day.
  • the first number of people in venue 1 (step 402), and through the query interface provided by the information management platform, send a query request to the information management platform, and receive the information returned by the information management platform to register information at venue 1 on the previous day (i.e. Scan the location code) to obtain the second quantity (step 403).
  • RPA robots can be based on the location 1 of the first quantity and the second quantity, determine the ratio of the second quantity to the first quantity (i.e., the code scanning rate) (step 404), and determine whether the ratio is greater than the preset threshold, so as to determine whether site 1 complies with the epidemic prevention work based on the ratio. request (step 405). Among them, if the ratio is greater than the preset threshold, it is determined that site 1 meets the requirements for epidemic prevention work; if the ratio is not greater than the preset threshold, it is determined that site 1 does not meet the requirements for epidemic prevention work.
  • the RPA robot can log in to the grid management platform (step 406) and issue a work order to the grid staff of the grid to which the place 1 belongs through the grid management platform (step 406). Step 407), so that the grid member goes to the place 1 to conduct on-site management of the epidemic prevention work in the place 1, such as strengthening the awareness of the epidemic prevention and control responsibility of the gatekeepers in the place 1.
  • the RPA robot can determine whether the query for all sites has been completed (step 408).
  • the RPA robot can use the same method as Site 1 to determine whether the next of the 47 sites meets the requirements for epidemic prevention work, until it completes the judgment of whether the epidemic prevention work in the 47 sites meets the requirements for epidemic prevention work.
  • RPA can be used as a connector to collect data from multiple systems through non-intrusive connection methods, break down business barriers, system barriers and data barriers, and simulate manual processing after conducting data analysis according to the requirements of epidemic prevention work. Operation to achieve closed-loop business management of "automatic inspection-data analysis-automatic order dispatch-manual processing".
  • the video surveillance platform, information management platform, and grid management platform are all existing platforms and do not need to be repeatedly constructed. Therefore, the epidemic prevention supervision method provided by the embodiment of the present application can make full use of existing software and hardware resources to reduce costs. cost to realize the supervision of epidemic prevention work in target places.
  • this application also proposes an epidemic prevention supervision device that combines RPA and AI to implement IA.
  • Figure 5 is a schematic structural diagram of an epidemic prevention supervision device that combines RPA and AI to implement IA according to an embodiment of the present application.
  • the epidemic prevention supervision device 500 that combines RPA and AI to implement IA is applied to RPA robots and includes: a first acquisition module 510, a second acquisition module 520 and a determination module 530.
  • the first acquisition module 510 is used to acquire the first number of people entering the target place within a preset time period based on AI technology;
  • the second acquisition module 520 is used to acquire the second number of persons who have registered information at the target location within a preset time period
  • the determination module 530 is used to determine whether the target place meets the requirements for epidemic prevention work based on the first quantity and the second quantity.
  • the epidemic prevention supervision device 500 that combines RPA and AI to implement IA in the embodiment of the present application can execute the epidemic prevention supervision method that combines RPA and AI to implement IA provided in the above embodiments.
  • the epidemic prevention supervision device 500 that combines RPA and AI to implement IA can be implemented by an RPA robot.
  • the epidemic prevention supervision device 500 that combines RPA and AI to implement IA can be an RPA robot, or the epidemic prevention supervision device 500 that combines RPA and AI to implement IA can be Configured in the RPA robot, this application does not limit this.
  • the RPA robot can be configured in electronic equipment, which can include but is not limited to terminal equipment, Servers, etc., this embodiment does not specifically limit electronic devices.
  • the first acquisition module 510 includes:
  • Login unit used to log in to the video surveillance platform
  • the acquisition unit is used to obtain the first quantity from the video surveillance platform.
  • the first quantity is obtained by the video surveillance platform performing human flow statistics on the surveillance video at the entrance of the target place; or, is used to obtain the surveillance video from the video surveillance platform, And perform people flow statistics on surveillance videos to obtain the first number.
  • the second acquisition module 520 includes:
  • the sending unit is used to send a query request to the information management platform through the query interface provided by the information management platform, and the query request is used to obtain the second quantity from the information management platform;
  • the receiving unit is configured to receive the second quantity returned by the information management platform.
  • the determination module 530 includes:
  • a first determination unit used to determine the ratio of the second quantity to the first quantity
  • the second determination unit is used to determine that the target place meets the requirements for epidemic prevention work when the ratio is greater than the preset threshold
  • the third determination unit is used to determine that the target place does not meet the requirements for epidemic prevention work when the ratio is not greater than the preset threshold.
  • the epidemic prevention supervision device 500 that combines RPA and AI to implement IA also includes:
  • the login module is used to log in to the grid management platform when the target location does not meet the requirements for epidemic prevention work
  • the processing module is used to issue work orders to the grid operators corresponding to the target site through the grid management platform, so that the grid operators can conduct on-site management of the target site.
  • the epidemic prevention supervision device that combines RPA and AI to implement IA in the embodiment of the present application, based on AI technology, obtains the first number of people entering the target place within the preset time period, and obtains the number of people entering the target place within the preset time period.
  • the second number of people registering information is used to determine whether the target place meets the requirements for epidemic prevention work based on the first number and the second number.
  • RPA combined with AI replaces manual IA to supervise the epidemic prevention work in the target place, reducing the labor costs required for epidemic prevention supervision and improving the efficiency of epidemic prevention supervision.
  • embodiments of the present application also provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the computer program, As described in any of the foregoing method embodiments, the epidemic prevention supervision method of IA is implemented by combining RPA and AI.
  • embodiments of the present application also propose a computer-readable storage medium on which a computer program is stored.
  • the computer program is executed by a processor, the combination of RPA and AI as described in any of the foregoing method embodiments is implemented.
  • Implement IA s epidemic prevention supervision methods.
  • embodiments of the present application also provide a computer program product.
  • the instruction processor in the computer program product is executed, the implementation of IA by combining RPA and AI as described in any of the foregoing method embodiments is realized.
  • Epidemic prevention supervision methods are provided.
  • FIG. 6 illustrates a block diagram of an exemplary electronic device suitable for implementing embodiments of the present application.
  • the electronic device shown in Figure 6 The device 10 is only an example and should not bring any restrictions on the functions and scope of use of the embodiments of the present application.
  • electronic device 10 is embodied in the form of a general computing device.
  • the components of electronic device 10 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and a bus 18 connecting various system components, including memory 28 and processing unit 16.
  • Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics accelerated port, a processor, or a local bus using any of a variety of bus structures.
  • these architectures include, but are not limited to, Industry Standard Architecture (hereinafter referred to as: ISA) bus, Micro Channel Architecture (hereinafter referred to as: MAC) bus, enhanced ISA bus, video electronics Standards Association (Video Electronics Standards Association; hereinafter referred to as: VESA) local bus and Peripheral Component Interconnection (hereinafter referred to as: PCI) bus.
  • ISA Industry Standard Architecture
  • MAC Micro Channel Architecture
  • VESA Video Electronics Standards Association
  • PCI Peripheral Component Interconnection
  • Electronic device 10 typically includes a variety of computer system readable media. These media may be any available media that can be accessed by electronic device 10, including volatile and nonvolatile media, removable and non-removable media.
  • the memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter referred to as: RAM) 30 and/or cache memory 32.
  • Electronic device 10 may further include other removable/non-removable, volatile/non-volatile computer system storage media.
  • storage system 34 may be used to read and write to non-removable, non-volatile magnetic media (not shown in Figure 6, commonly referred to as a "hard drive").
  • a disk drive may be provided for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and a disk drive for reading and writing a removable non-volatile optical disk (e.g., a compact disk read-only memory).
  • Disc Read Only Memory hereinafter referred to as: CD-ROM
  • DVD-ROM Digital Video Disc Read Only Memory
  • each drive may be connected to bus 18 through one or more data media interfaces.
  • the memory 28 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of various embodiments of the present application.
  • a program/utility 40 having a set of (at least one) program modules 42 may be stored, for example, in memory 28 , each of these examples or some combination may include the implementation of a network environment.
  • Program modules 42 generally perform functions and/or methods in the embodiments described herein.
  • Electronic device 10 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), may also communicate with one or more devices that enable a user to interact with electronic device 10, and/or with Any device (eg, network card, modem, etc.) that enables the electronic device 10 to communicate with one or more other computing devices. This communication may occur through input/output (I/O) interface 22.
  • the electronic device 10 can also communicate with one or more networks (such as a local area network (Local Area Network; hereinafter referred to as: LAN), a wide area network (Wide Area Network; hereinafter referred to as: WAN)) and/or a public network, such as the Internet, through the network adapter 20 ) communication.
  • networks such as a local area network (Local Area Network; hereinafter referred to as: LAN), a wide area network (Wide Area Network; hereinafter referred to as: WAN)
  • a public network such as the Internet
  • network adapter 20 communicates with other modules of electronic device 10 via bus 18 .
  • bus 18 It should be understood that, although not shown in Figure 6, other hardware and/or software modules may be used in conjunction with electronic device 10, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tapes drives and data backup storage systems, etc.
  • the processing unit 16 executes various functional applications and data processing by running programs stored in the memory 28, For example, the methods mentioned in the previous embodiments are implemented.
  • references to the terms “one embodiment,” “some embodiments,” “an example,” “specific examples,” or “some examples” or the like means that specific features are described in connection with the embodiment or example. , structures, materials or features are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, those skilled in the art may combine and combine different embodiments or examples and features of different embodiments or examples described in this specification unless they are inconsistent with each other.
  • first and second are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Therefore, features defined as “first” and “second” may explicitly or implicitly include at least one of these features.
  • “plurality” means at least two, such as two, three, etc., unless otherwise expressly and specifically limited.
  • a "computer-readable medium” may be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
  • Non-exhaustive list of computer readable media include the following: electrical connections with one or more wires (electronic device), portable computer disk cartridges (magnetic device), random access memory (RAM), Read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable compact disc read-only memory (CDROM).
  • the computer-readable medium may even be paper or other suitable medium on which the program may be printed, as the paper or other medium may be optically scanned, for example, and subsequently edited, interpreted, or otherwise suitable as necessary. process to obtain the program electronically and then store it in computer memory.
  • various parts of the present application can be implemented in hardware, software, firmware, or a combination thereof.
  • various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if it is implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: discrete logic gate circuits with logic functions for implementing data signals; Logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.
  • the program can be stored in a computer-readable storage medium.
  • the program can be stored in a computer-readable storage medium.
  • each functional unit in each embodiment of the present application can be integrated into one processing module, or each functional unit can be The unit physically exists alone, or two or more units can be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or software function modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.
  • the storage media mentioned above can be read-only memory, magnetic disks or optical disks, etc.

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Abstract

一种结合RPA和AI实现IA的防疫监督方法包括：基于AI技术，获取预设时间段内进入目标场所的人员的第一数量；获取预设时间段内，在目标场所进行信息登记的人员的第二数量；基于第一数量与第二数量，确定目标场所是否符合防疫工作要求。

Description

结合RPA和AI实现IA的防疫监督方法、装置及电子设备 技术领域
本申请涉及机器人流程自动化、人工智能及智能自动化技术领域，特别涉及一种结合RPA和AI实现IA的防疫监督方法、装置及电子设备。
背景技术
机器人流程自动化(Robotic Process Automation，简称RPA)，是通过特定的“机器人软件”，模拟人在计算机上的操作，按规则自动执行流程任务。
人工智能(Artificial Intelligence，简称AI)是研究、开发用于模拟、延伸和扩展人的智能的理论、方法、技术及应用系统的一门技术科学。
智能自动化(Intelligent Automation，IA)是一系列从机器人流程自动化到人工智能的技术总称，将RPA与光学字符识别(Optical Character Recognition，OCR)、智能字符识别(Intelligent Character Recognition，ICR)、流程挖掘(Process Mining)、深度学习(Deep Learning，DL)、机器学习(Machine Learning，ML)、自然语言处理(Natural Language Processing，NLP)、语音识别(Automatic Speech Recognition，ASR)、语音合成(Text To Speech，TTS)、计算机视觉(Computer Vision，CV)等多种AI技术相结合，以创建能够思考、学习及自适应的端到端的业务流程，涵盖从流程发现、流程自动化，到通过自动而持续的数据收集、理解数据的含义，使用数据来管理和优化业务流程的整个历程。
目前，很多繁琐、重复的业务需要通过人工来进行办理。比如，流行性传染病作为具有高度传染性的疾病，一旦爆发成疫情，则所涉及的传染人员数量巨大。为了有效防控疫情，防疫部门通常会要求各类场所，对进入人员的身份信息进行登记，且防疫部门会对各类场所是否严格执行该项防疫工作进行监督。相关技术，通常是人工根据各类场所的入口位置的监控视频，查看各类场所对防疫工作的履行情况，这种防疫监督方式，人工成本高，且效率低。
发明内容
本申请提供一种结合RPA和AI实现IA的防疫监督方法、装置及电子设备，以解决相关技术中的防疫监督方法存在的人工成本高且效率低的技术问题。
本申请第一方面实施例提供一种结合RPA和AI实现IA的防疫监督方法，应用于RPA机器人，方法包括：基于AI技术，获取预设时间段内进入目标场所的人员的第一数量；获取预设时间段内，在目标场所进行信息登记的人员的第二数量；基于第一数量与第二数量，确定目标场所是否符合防疫工作要求。
在一些实施例中，基于AI技术，获取预设时间段内进入目标场所的人员的第一数量，包括：登录视频监控平台；从所述视频监控平台获取所述第一数量，所述第一数量，是所述视频监控平台，基于计算机视觉CV技术，对所述目标场所的入口位置的监控视频进行视频分析得到的；或者，从所述视频监控平台获取所述监控视频，并基于所述计算机视觉CV技 术，对所述监控视频进行视频分析，以获取所述第一数量。
在一些实施例中，获取预设时间段内，在目标场所进行信息登记的人员的第二数量，包括：通过信息管理平台提供的查询接口，向信息管理平台发送查询请求，查询请求用于从信息管理平台中获取第二数量；接收信息管理平台返回的第二数量。
在一些实施例中，基于第一数量与第二数量，确定目标场所是否符合防疫工作要求，包括：确定第二数量与第一数量的比值；在比值大于预设阈值的情况下，确定目标场所符合防疫工作要求；在比值不大于预设阈值的情况下，确定目标场所不符合防疫工作要求。
在一些实施例中，基于第一数量与第二数量，确定目标场所是否符合防疫工作要求之后，还包括：在目标场所不符合防疫工作要求的情况下，登录网格化管理平台；通过网格化管理平台，向目标场所对应的网格员下发工单，以使网格员对目标场所进行现场管理。
本申请第二方面实施例提供一种结合RPA和AI实现IA的防疫监督装置，应用于RPA机器人，装置包括：第一获取模块，用于基于AI技术，获取预设时间段内进入目标场所的人员的第一数量；第二获取模块，用于获取预设时间段内，在目标场所进行信息登记的人员的第二数量；确定模块，用于基于第一数量与第二数量，确定目标场所是否符合防疫工作要求。
在一些实施例中，第一获取模块，包括：登录单元，用于登录视频监控平台；获取单元，用于从所述视频监控平台获取所述第一数量，所述第一数量，是所述视频监控平台，基于计算机视觉CV技术，对所述目标场所的入口位置的监控视频进行视频分析得到的；或者，用于从所述视频监控平台获取所述监控视频，并基于所述计算机视觉CV技术，对所述监控视频进行视频分析，以获取所述第一数量。
在一些实施例中，第二获取模块，包括：发送单元，用于通过信息管理平台提供的查询接口，向信息管理平台发送查询请求，查询请求用于从信息管理平台中获取第二数量；接收单元，用于接收信息管理平台返回的第二数量。
在一些实施例中，确定模块，包括：第一确定单元，用于确定第二数量与第一数量的比值；第二确定单元，用于在比值大于预设阈值的情况下，确定目标场所符合防疫工作要求；第三确定单元，用于在比值不大于预设阈值的情况下，确定目标场所不符合防疫工作要求。
在一些实施例中，结合RPA和AI实现IA的防疫监督装置还包括：登录模块，用于在目标场所不符合防疫工作要求的情况下，登录网格化管理平台；处理模块，用于通过网格化管理平台，向目标场所对应的网格员下发工单，以使网格员对目标场所进行现场管理。
本申请第三方面实施例提出了一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，该处理器执行计算机程序时，实现如本申请上述第一方面实施例所述的方法。
本申请第四方面实施例提出了一种计算机可读存储介质，其上存储有计算机程序，该计算机程序被处理器执行时实现如本申请上述第一方面实施例所述的方法。
本申请第五方面实施例提出了一种计算机程序产品，包括计算机程序，所述计算机程序在被处理器执行时实现如本申请上述第一方面实施例所述的方法。
通过RPA机器人基于AI技术，获取预设时间段内进入目标场所的人员的第一数量，以及获取预设时间段内，在目标场所进行信息登记的人员的第二数量，进而基于第一数量与第二数量，确定目标场所是否符合防疫工作要求，实现了通过RPA结合AI代替人工实现IA的对目标场所的防疫工作进行监督，降低了防疫监督所需的人工成本，提高了防疫监督的效率。
本申请的附加方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本申请的实践了解到。
附图说明
在附图中，除非另外规定，否则贯穿多个附图相同的附图标记表示相同或相似的部件或元素。这些附图不一定是按照比例绘制的。应该理解，这些附图仅描绘了根据本申请公开的一些实施方式，而不应将其视为是对本申请范围的限制。
图1是根据本申请一个实施例的结合RPA和AI实现IA的防疫监督方法的流程示意图；
图2是根据本申请一个实施例的结合RPA和AI实现IA的防疫监督方法的流程示意图；
图3是根据本申请一个实施例的RPA机器人与其它各平台的连接示例图；
图4是根据本申请一个实施例的结合RPA和AI实现IA的防疫监督方法的流程示意图；
图5是根据本申请一个实施例的结合RPA和AI实现IA的防疫监督装置的结构示意图；
图6是用来实现本申请实施例的结合RPA和AI实现IA的防疫监督方法的电子设备的框图。
具体实施方式
下面详细描述本申请/公开的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，仅用于解释本申请/公开，而不能理解为对本申请/公开的限制。
参照下面的描述和附图，将清楚本申请/公开的实施例的这些和其他方面。在这些描述和附图中，具体公开了本申请/公开的实施例中的一些特定实施方式，来表示实施本申请/公开的实施例的原理的一些方式，但是应当理解，本申请/公开的实施例的范围不受此限制。相反，本申请/公开的实施例包括落入所附加权利要求书的精神和内涵范围内的所有变化、修改和等同物。
需要说明的是，本公开申请的技术方案中，所涉及的用户个人信息的获取，存储和应用等，均符合相关法律法规的规定，且不违背公序良俗。
为了有效防控疫情，防疫部门通常会要求各类场所，对进入人员的身份信息进行登记。比如各类场所的工作人员需要要求进入人员扫描该场所的场所码，以进行身份信息登记。相关技术，为了对各类场所是否严格执行该项防疫工作进行监督，通常是在各类场所的入口位置安装监控设备，以采集入口位置的监控视频，进而通过人工查看监控视频，根据监控视频，人工确定各类场所的工作人员是否要求进入人员扫描该场所的场所码，以确定各类场所是否 符合防疫工作要求。这种防疫监督方式，人工成本高且效率低。
本申请提供一种结合RPA和AI实现代替人工IA的进行防疫监督的思路。其中，RPA机器人可以基于AI技术，获取预设时间段内进入目标场所的人员的第一数量，以及获取预设时间段内，在目标场所进行信息登记的人员的第二数量，进而基于第一数量与第二数量，确定目标场所是否符合防疫工作要求。由此，通过RPA结合AI代替人工实现IA的对目标场所的防疫工作进行监督，降低了防疫监督所需的人工成本，提高了防疫监督的效率。
为了清楚说明本发明的各实施例，首先对本发明实施例中涉及到的技术名词进行解释说明。
在本申请/公开的描述中，术语“多个”指两个或两个以上。
在本申请的描述中，“RPA机器人”是指可结合AI技术和RPA技术，自动进行业务处理的软件机器人。RPA机器人拥有“连接器”和“无侵入”两个特性，通过模拟人类的操作方法，在不更改信息系统的前提下，使用非侵入的方式，将不同系统的数据进行提取、整合和连通。
在本申请的描述中，“场所码”，是人员进入到各重点场所使用的专有二维码，是平台为重点场所生成的一个独立标识码。通过扫描场所码，可以对出入该场所的所有人员进行信息的自动化登记，同时也会显示出入该场所人员当时的健康卡状态。场所码能更精准地对疫情进行防控。场所码会显示进入该重点场所时的位置、名称以及时间等。这样一旦后面发现了确诊病例，能迅速排查可能存在风险的人群，避免疫情扩散。
在本申请的描述中，“视频监控平台”，指监控设备的管理平台，各监控设备所采集的监控视频，可以统一保存在对应的视频监控平台中。
在本申请的描述中，“信息管理平台”，指对人员的身份信息进行登记、保存、管理等操作的平台。比如，信息管理平台可以为健康码管理平台，在人员通过手机等电子设备扫描某个场所的场所码后，健康码管理平台可以自动登记该人员的身份信息、该人员进入该场所时的位置、场所名称、进入时间等信息。
在本申请的描述中，“网格化管理平台”，指将城市管理辖区按照一定的标准划分成为单元网格，对各单元网格内的人口、房屋、场所、社区公共服务设施等相关的信息进行管理的平台。其中，网格化管理平台中可以包括各单元网格的网格管理员(即网格员)的相关信息，比如网格员的身份信息、联系方式等。
以下结合附图描述根据本申请/公开实施例的结合RPA和AI实现IA的防疫监督方法、装置、电子设备及存储介质。
首先结合附图，对本申请实施例中的结合RPA和AI实现IA的防疫监督方法进行说明。
图1是本申请一个实施例的结合RPA和AI实现IA的防疫监督方法的流程图。如图1所示，该方法可包括以下步骤：
步骤101，基于AI技术，获取预设时间段内进入目标场所的人员的第一数量。
需要说明的是，本申请实施例的结合RPA和AI实现IA的防疫监督方法，可以由结合RPA和AI实现IA的防疫监督装置执行，以下将结合RPA和AI实现IA的防疫监督装置， 简称为防疫监督装置。其中，该防疫监督装置可以由RPA机器人实现，例如，防疫监督装置可以为RPA机器人，或者防疫监督装置可以配置在RPA机器人中，本申请对此不作限制。
其中，RPA机器人可以配置在电子设备中，该电子设备可以包括但不限于终端设备、服务器等，该实施例对电子设备不作具体限定。本申请实施例以防疫监督装置为终端设备中安装的RPA机器人为例进行说明。
其中，本实施例中的RPA机器人可以在特定的时间段，或者全天实时执行该方法，本申请对此不作限制。其中，特定的时间段可以根据需要设置。
或者，上述RPA机器人还可以是基于接收到启动指令而启动的。例如，防疫部门的工作人员可通过对话的方式，触发针对RPA机器人的上述启动指令。其中，触发针对RPA机器人的启动指令可通过多种方式实现，例如，可通过语音和/或文字的方式触发RPA机器人的启动指令，又例如，还可以通过触发人机交互界面上的指定控件的方式，来触发RPA机器人的启动指令，本申请的实施例对此不作具体限定。
其中，预设时间段，可以根据需要设置，比如可以为1小时、一天、2天等，本申请对此不作限制。
目标场所，可以为一个场所，也可以为多个场所，本申请对此不作限制。另外，目标场所可以根据需要设置，比如可以为某个城市的某个城区中的各场所。
在一些实施例中，RPA机器人可以7*24小时不间断运行，并在每日的特定时间，基于AI技术，获取前一日进入目标场所的人员的第一数量。
步骤102，获取预设时间段内，在目标场所进行信息登记的人员的第二数量。
其中，步骤101和步骤102可以同时执行，也可以先执行步骤101再执行步骤102，或者先执行步骤102再执行步骤101，本申请对步骤101和步骤102的执行时机不作限制，只需在步骤103之前即可。
步骤103，基于第一数量与第二数量，确定目标场所是否符合防疫工作要求。
本申请实施例提供的结合RPA和AI实现IA的防疫监督方法，RPA机器人基于AI技术，获取预设时间段内进入目标场所的人员的第一数量，以及获取预设时间段内，在目标场所进行信息登记的人员的第二数量，进而基于第一数量与第二数量，确定目标场所是否符合防疫工作要求。由此，通过RPA结合AI代替人工实现IA的对目标场所的防疫工作进行监督，降低了防疫监督所需的人工成本，提高了防疫监督的效率。
为了说明本申请实施例中是如何获取第一数量、第二数量以及如何基于第一数量和第二数量，确定目标场所是否符合防疫工作要求的，下面结合图2，对本申请实施例提供的结合RPA和AI实现IA的防疫监督方法进行进一步说明。
图2是根据本申请另一个实施例的结合RPA和AI实现IA的防疫监督方法的流程图。如图2所示，该方法包括：
步骤201，登录视频监控平台。
步骤202，从视频监控平台获取预设时间段内进入目标场所的人员的第一数量；第一数量，是视频监控平台，基于计算机视觉CV技术，对目标场所的入口位置的监控视频进行视 频分析得到的。
在一些实施例中，参考图3，目标场所的入口位置安装有摄像头等监控设备，监控设备可以采集目标场所的入口位置的监控视频，并将采集到的监控视频发送至视频监控平台。视频监控平台可以基于计算机视觉CV技术，对目标场所的入口位置的监控视频进行视频分析，得到预设时间段内进入目标场所的人员的第一数量。RPA机器人可以模拟人工，通过视频监控平台的客户端登录视频监控平台，并从视频监控平台获取第一数量。
在一些实施例中，视频监控平台可以基于CV技术，对监控视频进行人流量统计，得到预设时间段内进入目标场所的人员的第一数量。其中，视频监控平台基于CV技术对监控视频进行人流量统计的过程可以包括：对监控视频进行分帧，得到多帧监控图像；根据标准人体模板数据库的信息对当前帧监控图像进行扫描，获取当前帧监控图像中的人体模板，其中，该人体模板对应的人体为之前帧监控图像中未出现过的人体，并将当前帧监控图像中的人体模板与上一帧监控图像中的同一人体模板进行对比，获取当前帧监控图像中的人体模板对应的前进方向；判断该前进方向是否为进入目标场所的方向，若是，则将计数加一。
其中，标准人体模板数据库的信息，可以包括按照性别、年龄、区域等分类的多个标准人体模板的信息。
其中，计数的初始值为0，对多帧监控图像执行上述步骤后，最终的计数即为预设时间段内进入目标场所的人员的第一数量。
由此，RPA机器人可以采用非侵入式的连接方式，从视频监控平台获取预设时间段内进入目标场所的人员的第一数量。
在一些实施例中，目标场所的入口位置安装有摄像头等监控设备，监控设备可以采集目标场所的入口位置的监控视频，并将采集到的监控视频发送至视频监控平台。RPA机器人可以登录视频监控平台，并从视频监控平台获取目标场所的入口位置的监控视频，进而RPA机器人可以基于计算机视觉CV技术，对监控视频进行视频分析，以获取预设时间段内进入目标场所的人员的第一数量。
相应的，步骤202可以替换为以下步骤：从视频监控平台获取目标场所的入口位置的监控视频，并基于计算机视觉CV技术，对监控视频进行视频分析，以获取第一数量。
在一些实施例中，RPA机器人可以基于CV技术，对监控视频进行人流量统计，得到预设时间段内进入目标场所的人员的第一数量。其中，RPA机器人基于CV技术对监控视频进行人流量统计的过程，可以参考视频监控平台对监控视频进行人流量统计的过程，此处不再赘述。
由此，RPA机器人可以采用非侵入式的连接方式，从视频监控平台获取目标场所的入口位置的监控视频，进而基于计算机视觉CV技术，获取预设时间段内进入目标场所的人员的第一数量。
步骤203，通过信息管理平台提供的查询接口，向信息管理平台发送查询请求，查询请求用于从信息管理平台中，获取预设时间段内在目标场所进行信息登记的人员的第二数量。
步骤204，接收信息管理平台返回的第二数量。
在一些实施例中，进入目标场所的人员，可以通过扫场所码等方式，在目标场所进行信息登记。相应的，信息管理平台可以获取在目标场所进行信息登记的人员的身份信息及登记时间等信息，进而统计在预设时间段内，在目标场所进行信息登记的人员的第二数量。另外，参考图3，信息管理平台可以提供查询接口，该查询接口可以用于查询在各场所进行信息登记的人员的相关数据。从而RPA机器人可以通过该查询接口，向信息管理平台发送查询请求，该查询请求用于从信息管理平台中，获取预设时间段内在目标场所进行信息登记的人员的第二数量，并接收信息管理平台返回的第二数量。
由此，RPA机器人可以通过接口查询的方式，从信息管理平台获取预设时间段内，在目标场所进行信息登记的人员的第二数量。
步骤205，基于第一数量与第二数量，确定目标场所是否符合防疫工作要求。
其中，防疫工作要求，为防疫部门对目标场所的防疫工作的要求。
在一些实施例中，RPA机器人可以确定第二数量与第一数量的比值，并判断该比值是否大于预设阈值。在比值大于预设阈值的情况下，RPA机器人可以确定目标场所符合防疫工作要求；在比值不大于预设阈值的情况下，RPA机器人可以确定目标场所不符合防疫工作要求。
其中，预设阈值可以根据防疫工作要求进行设置，比如设置为90％、95％等。
步骤206，在目标场所不符合防疫工作要求的情况下，登录网格化管理平台。
步骤207，通过网格化管理平台，向目标场所对应的网格员下发工单，以使网格员对目标场所进行现场管理。
在一些实施例中，参考图3，RPA机器人在确定目标场所不符合防疫工作要求的情况下，可以模拟人工，通过网格化管理平台的客户端登录网格化管理平台，以根据网格化管理平台中保存的信息，确定目标场所所属的网格以及对应的网格员，进而通过网格化管理平台，向目标场所对应的网格员下发工单，以使网格员前往目标场所，对目标场所进行现场管理。
下面结合图4，以目标场所为某个城市的某个城区中的商业中心、农贸市场、酒店等47个场所，预设时间段为前一日为例，对本申请实施例中的结合RPA和AI实现IA的防疫监督方法进行说明。
其中，该47个场所的入口位置安装有高清摄像头，并且高清摄像头可以将采集的监控视频发送至视频监控平台。该47个场所的入口设置有场所码，进入人员可以通过扫场所码等方式，在相应场所进行信息登记，并且已登记人员的身份信息及登记时间等信息会保存在信息管理平台，并且信息管理平台提供查询接口。该47个场所所属网格的网格员的相关信息等信息保存在网格化管理平台中。
参考图4，RPA机器人可以定时自动打开并登录视频监控平台(步骤401)，并从视频监控平台上分别查询在前一日进入47个场所的人员的数量，以获取前一日进入47个场所中场所1的人员的第一数量(步骤402)，以及通过信息管理平台提供的查询接口，向信息管理平台发送查询请求，并接收信息管理平台返回的前一日在场所1进行信息登记(即扫场所码)的人员的数量，即获取第二数量(步骤403)。进一步的，RPA机器人可以基于场所1 的第一数量和第二数量，确定第二数量与第一数量的比值(即扫码率)(步骤404)，并判断比值是否大于预设阈值，以根据该比值判断场所1是否符合防疫工作要求(步骤405)。其中，在比值大于预设阈值的情况下，确定场所1符合防疫工作要求；在比值不大于预设阈值的情况下，确定场所1不符合防疫工作要求。在确定该场所1不符合防疫工作要求的情况下，RPA机器人可以登录网格化管理平台(步骤406)，通过网格化管理平台向该场所1所属网格的网格员下发工单(步骤407)，以使该网格员前往该场所1，对该场所1的防疫工作进行现场管理，比如加强该场所1的门卫的疫情防控责任意识。在确定该场所1符合防疫工作要求的情况下，或者向场所1所属网格的网格员下发工单之后，RPA机器人可以判断是否对所有场所查询完毕(步骤408)，在确定未查询完毕的情况下，RPA机器人可以采用与场所1相同的方式，判断47个场所中下一个场所是否符合防疫工作要求，直至完成对47个场所的防疫工作是否满足防疫工作要求的判断。
由此，可以实现RPA作为连接器，通过非侵入式的连接方式，分别从多个系统采集数据，打破业务壁垒、系统壁垒和数据壁垒，并根据防疫工作要求，进行数据分析后，模拟人工处置操作，实现“自动巡查-数据分析-自动派单-人工处置”业务闭环管理。并且，视频监控平台、信息管理平台、网格化管理平台均为已有的平台，无需重复构建，从而本申请实施例提供的防疫监督方法，可以充分利用已有的软硬件资源，以较低的成本实现对目标场所的防疫工作的监督。另外，相比通过视频行为分析算法对监控视频进行分析，确定进入目标场所的人员是否有信息登记的动作来进行防疫监督，容易出现识别错误，本申请实施例中通过基于计算机视觉CV技术中的人流量统计技术，获取预设时间段内进入目标场所的人员的第一数量，获取预设时间段内，在目标场所进行信息登记的人员的第二数量，进而基于第一数量和第二数量确定目标场所是否符合防疫工作要求，准确率更高。
为了实现上述实施例，本申请还提出了一种结合RPA和AI实现IA的防疫监督装置。图5是根据本申请一个实施例的结合RPA和AI实现IA的防疫监督装置的结构示意图。
如图5所示，该结合RPA和AI实现IA的防疫监督装置500，应用于RPA机器人，包括：第一获取模块510、第二获取模块520以及确定模块530。
其中，第一获取模块510，用于基于AI技术，获取预设时间段内进入目标场所的人员的第一数量；
第二获取模块520，用于获取预设时间段内，在目标场所进行信息登记的人员的第二数量；
确定模块530，用于基于第一数量与第二数量，确定目标场所是否符合防疫工作要求。
需要说明的是，本申请实施例的结合RPA和AI实现IA的防疫监督装置500，可以执行上述实施例提供的结合RPA和AI实现IA的防疫监督方法。其中，结合RPA和AI实现IA的防疫监督装置500可以由RPA机器人实现，例如，结合RPA和AI实现IA的防疫监督装置500可以为RPA机器人，或者结合RPA和AI实现IA的防疫监督装置500可以配置在RPA机器人中，本申请对此不作限制。
其中，RPA机器人可以配置在电子设备中，该电子设备可以包括但不限于终端设备、 服务器等，该实施例对电子设备不作具体限定。
在本申请的一个实施例中，第一获取模块510，包括：
登录单元，用于登录视频监控平台；
获取单元，用于从视频监控平台获取第一数量，第一数量，是视频监控平台对目标场所的入口位置的监控视频进行人流量统计得到的；或者，用于从视频监控平台获取监控视频，并对监控视频进行人流量统计，以获取第一数量。
在本申请的一个实施例中，第二获取模块520，包括：
发送单元，用于通过信息管理平台提供的查询接口，向信息管理平台发送查询请求，查询请求用于从信息管理平台中获取第二数量；
接收单元，用于接收信息管理平台返回的第二数量。
在本申请的一个实施例中，确定模块530，包括：
第一确定单元，用于确定第二数量与第一数量的比值；
第二确定单元，用于在比值大于预设阈值的情况下，确定目标场所符合防疫工作要求；
第三确定单元，用于在比值不大于预设阈值的情况下，确定目标场所不符合防疫工作要求。
在本申请的一个实施例中，结合RPA和AI实现IA的防疫监督装置500还包括：
登录模块，用于在目标场所不符合防疫工作要求的情况下，登录网格化管理平台；
处理模块，用于通过网格化管理平台，向目标场所对应的网格员下发工单，以使网格员对目标场所进行现场管理。
需要说明的是，前述对结合RPA和AI实现IA的防疫监督方法实施例的解释说明也适用于该实施例的结合RPA和AI实现IA的防疫监督装置，本申请结合RPA和AI实现IA的防疫监督装置实施例中未公布的细节，此处不再赘述。
综上，本申请实施例的结合RPA和AI实现IA的防疫监督装置，基于AI技术，获取预设时间段内进入目标场所的人员的第一数量，以及获取预设时间段内，在目标场所进行信息登记的人员的第二数量，进而基于第一数量与第二数量，确定目标场所是否符合防疫工作要求。由此，通过RPA结合AI代替人工实现IA的对目标场所的防疫工作进行监督，降低了防疫监督所需的人工成本，提高了防疫监督的效率。
为了实现上述实施例，本申请实施例还提出一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述计算机程序时，实现如前述任一方法实施例所述的结合RPA和AI实现IA的防疫监督方法。
为了实现上述实施例，本申请实施例还提出一种计算机可读存储介质，其上存储有计算机程序，该计算机程序被处理器执行时实现如前述任一方法实施例所述的结合RPA和AI实现IA的防疫监督方法。
为了实现上述实施例，本申请实施例还提出一种计算机程序产品，当所述计算机程序产品中的指令处理器执行时，实现如前述任一方法实施例所述的结合RPA和AI实现IA的防疫监督方法。
图6示出了适于用来实现本申请实施方式的示例性电子设备的框图。图6显示的电子设 备10仅仅是一个示例，不应对本申请实施例的功能和使用范围带来任何限制。
如图6所示，电子设备10以通用计算设备的形式表现。电子设备10的组件可以包括但不限于：一个或者多个处理器或者处理单元16，系统存储器28，连接不同系统组件(包括存储器28和处理单元16)的总线18。
总线18表示几类总线结构中的一种或多种，包括存储器总线或者存储器控制器，外围总线，图形加速端口，处理器或者使用多种总线结构中的任意总线结构的局域总线。举例来说，这些体系结构包括但不限于工业标准体系结构(Industry Standard Architecture；以下简称：ISA)总线，微通道体系结构(Micro Channel Architecture；以下简称：MAC)总线，增强型ISA总线、视频电子标准协会(Video Electronics Standards Association；以下简称：VESA)局域总线以及外围组件互连(Peripheral Component Interconnection；以下简称：PCI)总线。
电子设备10典型地包括多种计算机系统可读介质。这些介质可以是任何能够被电子设备10访问的可用介质，包括易失性和非易失性介质，可移动的和不可移动的介质。
存储器28可以包括易失性存储器形式的计算机系统可读介质，例如随机存取存储器(Random Access Memory；以下简称：RAM)30和/或高速缓存存储器32。电子设备10可以进一步包括其它可移动/不可移动的、易失性/非易失性计算机系统存储介质。仅作为举例，存储系统34可以用于读写不可移动的、非易失性磁介质(图6未显示，通常称为“硬盘驱动器”)。尽管图6中未示出，可以提供用于对可移动非易失性磁盘(例如“软盘”)读写的磁盘驱动器，以及对可移动非易失性光盘(例如：光盘只读存储器(Compact Disc Read Only Memory；以下简称：CD-ROM)、数字多功能只读光盘(Digital Video Disc Read Only Memory；以下简称：DVD-ROM)或者其它光介质)读写的光盘驱动器。在这些情况下，每个驱动器可以通过一个或者多个数据介质接口与总线18相连。存储器28可以包括至少一个程序产品，该程序产品具有一组(例如至少一个)程序模块，这些程序模块被配置以执行本申请各实施例的功能。
具有一组(至少一个)程序模块42的程序/实用工具40，可以存储在例如存储器28中，这样的程序模块42包括但不限于操作系统、一个或者多个应用程序、其它程序模块以及程序数据，这些示例中的每一个或某种组合中可能包括网络环境的实现。程序模块42通常执行本申请所描述的实施例中的功能和/或方法。
电子设备10也可以与一个或多个外部设备14(例如键盘、指向设备、显示器24等)通信，还可与一个或者多个使得用户能与该电子设备10交互的设备通信，和/或与使得该电子设备10能与一个或多个其它计算设备进行通信的任何设备(例如网卡，调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口22进行。并且，电子设备10还可以通过网络适配器20与一个或者多个网络(例如局域网(Local Area Network；以下简称：LAN)，广域网(Wide Area Network；以下简称：WAN)和/或公共网络，例如因特网)通信。如图6所示，网络适配器20通过总线18与电子设备10的其它模块通信。应当明白，尽管图6中未示出，可以结合电子设备10使用其它硬件和/或软件模块，包括但不限于：微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、RAID系统、磁带驱动器以及数据备份存储系统等。
处理单元16通过运行存储在存储器28中的程序，从而执行各种功能应用以及数据处理， 例如实现前述实施例中提及的方法。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本申请的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。在本申请的描述中，“多个”的含义是至少两个，例如两个，三个等，除非另有明确具体的限定。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或更多个用于实现定制逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本申请的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序，包括根据所涉及的功能按基本同时的方式或按相反的顺序，来执行功能，这应被本申请的实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以被认为是用于实现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用，或结合这些指令执行系统、装置或设备而使用。就本说明书而言，"计算机可读介质"可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下：具有一个或多个布线的电连接部(电子装置)，便携式计算机盘盒(磁装置)，随机存取存储器(RAM)，只读存储器(ROM)，可擦除可编辑只读存储器(EPROM或闪速存储器)，光纤装置，以及便携式光盘只读存储器(CDROM)。另外，计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序，然后将其存储在计算机存储器中。
应当理解，本申请的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。如，如果用硬件来实现和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，该程序在执行时，包括方法实施例的步骤之一或其组合。
此外，在本申请各个实施例中的各功能单元可以集成在一个处理模块中，也可以是各个 单元单独物理存在，也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。
上述提到的存储介质可以是只读存储器，磁盘或光盘等。尽管上面已经示出和描述了本申请的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本申请的限制，本领域的普通技术人员在本申请的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (12)

  1. 一种结合机器人流程自动化RPA和人工智能AI实现智能自动化IA的防疫监督方法，应用于RPA机器人，所述方法包括：
    基于AI技术，获取预设时间段内进入目标场所的人员的第一数量；
    获取所述预设时间段内，在所述目标场所进行信息登记的人员的第二数量；
    基于所述第一数量与所述第二数量，确定所述目标场所是否符合防疫工作要求。
  2. 根据权利要求1所述的方法，其中，所述基于AI技术，获取预设时间段内进入目标场所的人员的第一数量，包括：
    登录视频监控平台；
    从所述视频监控平台获取所述第一数量，所述第一数量，是所述视频监控平台，基于计算机视觉CV技术，对所述目标场所的入口位置的监控视频进行视频分析得到的；或者，从所述视频监控平台获取所述监控视频，并基于所述计算机视觉CV技术，对所述监控视频进行视频分析，以获取所述第一数量。
  3. 根据权利要求1或2所述的方法，其中，所述获取所述预设时间段内，在所述目标场所进行信息登记的人员的第二数量，包括：
    通过信息管理平台提供的查询接口，向所述信息管理平台发送查询请求，所述查询请求用于从所述信息管理平台中获取所述第二数量；
    接收所述信息管理平台返回的所述第二数量。
  4. 根据权利要求1-3中任一项所述的方法，其中，所述基于所述第一数量与所述第二数量，确定所述目标场所是否符合防疫工作要求，包括：
    确定所述第二数量与所述第一数量的比值；
    在所述比值大于预设阈值的情况下，确定所述目标场所符合防疫工作要求；
    在所述比值不大于所述预设阈值的情况下，确定所述目标场所不符合防疫工作要求。
  5. 根据权利要求1-4中任一项所述的方法，还包括：
    在所述目标场所不符合防疫工作要求的情况下，登录网格化管理平台；
    通过所述网格化管理平台，向所述目标场所对应的网格员下发工单，以使所述网格员对所述目标场所进行现场管理。
  6. 一种结合RPA和AI实现IA的防疫监督装置，应用于RPA机器人，所述装置包括：
    第一获取模块，用于基于AI技术，获取预设时间段内进入目标场所的人员的第一数量；
    第二获取模块，用于获取所述预设时间段内，在所述目标场所进行信息登记的人员的第二数量；
    确定模块，用于基于所述第一数量与所述第二数量，确定所述目标场所是否符合防疫工作要求。
  7. 根据权利要求6所述的装置，其中，所述第一获取模块，包括：
    登录单元，用于登录视频监控平台；
    获取单元，用于从所述视频监控平台获取所述第一数量，所述第一数量，是所述视频监控平台，基于计算机视觉CV技术，对所述目标场所的入口位置的监控视频进行视频分析得到的；或者，用于从所述视频监控平台获取所述监控视频，并基于所述计算机视觉CV技术，对所述监控视频进行视频分析，以获取所述第一数量。
  8. 根据权利要求6或7所述的装置，其中，所述第二获取模块，包括：
    发送单元，用于通过信息管理平台提供的查询接口，向所述信息管理平台发送查询请求，所述查询请求用于从所述信息管理平台中获取所述第二数量；
    接收单元，用于接收所述信息管理平台返回的所述第二数量。
  9. 根据权利要求6-8中任一项所述的装置，其中，所述确定模块，包括：
    第一确定单元，用于确定所述第二数量与所述第一数量的比值；
    第二确定单元，用于在所述比值大于预设阈值的情况下，确定所述目标场所符合防疫工作要求；
    第三确定单元，用于在所述比值不大于所述预设阈值的情况下，确定所述目标场所不符合防疫工作要求。
  10. 一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述计算机程序时，实现如权利要求1-5中任一项所述的方法。
  11. 一种计算机可读存储介质，其上存储有计算机程序，其中，该计算机程序被处理器执行时实现如权利要求1-5中任一项所述的方法。
  12. 一种计算机程序产品，包括计算机程序，其中，所述计算机程序被处理器执行时实现如权利要求1-5中任一项所述的方法。
PCT/CN2023/116250 2022-09-01 2023-08-31 结合rpa和ai实现ia的防疫监督方法、装置及电子设备 WO2024046433A1 (zh)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109559008A (zh) * 2018-09-19 2019-04-02 中建科技有限公司深圳分公司 施工监控方法、装置及系统
US20200073729A1 (en) * 2018-08-29 2020-03-05 Accenture Global Solutions Limited Adapter extension for inbound messages from robotic automation platforms to unified automation platform
CN111724909A (zh) * 2020-06-28 2020-09-29 北京来也网络科技有限公司 一种结合rpa和ai的疫情排查方法和装置
CN111724908A (zh) * 2020-06-28 2020-09-29 北京来也网络科技有限公司 基于机器人流程自动化rpa的疫情排查方法和装置
US10817314B1 (en) * 2019-10-01 2020-10-27 NTT DATA Services, LLC Augmented shareable video files for robotic process automation
CN114241394A (zh) * 2021-12-24 2022-03-25 中国联合网络通信集团有限公司 物品交接检测方法、装置、设备及可读存储介质
CN114827550A (zh) * 2022-05-19 2022-07-29 上海来也伯特网络科技有限公司 结合rpa和ai的监控设备的巡检方法、装置及电子设备
CN114970787A (zh) * 2022-06-22 2022-08-30 河南海宇交通设施有限公司 一种基于人数统计的验证方法、系统、装置及存储介质

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200073729A1 (en) * 2018-08-29 2020-03-05 Accenture Global Solutions Limited Adapter extension for inbound messages from robotic automation platforms to unified automation platform
CN109559008A (zh) * 2018-09-19 2019-04-02 中建科技有限公司深圳分公司 施工监控方法、装置及系统
US10817314B1 (en) * 2019-10-01 2020-10-27 NTT DATA Services, LLC Augmented shareable video files for robotic process automation
CN111724909A (zh) * 2020-06-28 2020-09-29 北京来也网络科技有限公司 一种结合rpa和ai的疫情排查方法和装置
CN111724908A (zh) * 2020-06-28 2020-09-29 北京来也网络科技有限公司 基于机器人流程自动化rpa的疫情排查方法和装置
CN114241394A (zh) * 2021-12-24 2022-03-25 中国联合网络通信集团有限公司 物品交接检测方法、装置、设备及可读存储介质
CN114827550A (zh) * 2022-05-19 2022-07-29 上海来也伯特网络科技有限公司 结合rpa和ai的监控设备的巡检方法、装置及电子设备
CN114970787A (zh) * 2022-06-22 2022-08-30 河南海宇交通设施有限公司 一种基于人数统计的验证方法、系统、装置及存储介质

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