CN114827550A - RPA and AI combined monitoring equipment inspection method and device and electronic equipment - Google Patents

RPA and AI combined monitoring equipment inspection method and device and electronic equipment Download PDF

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Publication number
CN114827550A
CN114827550A CN202210547162.1A CN202210547162A CN114827550A CN 114827550 A CN114827550 A CN 114827550A CN 202210547162 A CN202210547162 A CN 202210547162A CN 114827550 A CN114827550 A CN 114827550A
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China
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monitoring
target
monitoring equipment
equipment
state
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CN202210547162.1A
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Chinese (zh)
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葛瑞锴
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Shanghai Laiyibert Network Technology Co ltd
Laiye Technology Beijing Co Ltd
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Shanghai Laiyibert Network Technology Co ltd
Laiye Technology Beijing Co Ltd
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Priority to CN202210547162.1A priority Critical patent/CN114827550A/en
Publication of CN114827550A publication Critical patent/CN114827550A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
    • G07C1/20—Checking timed patrols, e.g. of watchman

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The application relates to a method, a device and an electronic device for routing inspection of monitoring equipment combined with RPA and AI, relates to the technical field of RPA and AI, is applied to a RPA routing inspection robot, and comprises the following steps: acquiring first equipment state information of a plurality of monitoring equipment installed in a target area from a monitoring platform; acquiring attribute information of target monitoring equipment under the condition that the target monitoring equipment in an offline state exists in all monitoring equipment installed in a target area according to the first equipment state information; and recording the attribute information of the target monitoring equipment. Therefore, the RPA inspection robot is combined with the AI to replace manual work, the attribute information of the target monitoring equipment in the non-online state is automatically acquired and recorded, automatic inspection of the monitoring equipment is achieved, labor cost required by inspection of the monitoring equipment is reduced, inspection efficiency and accuracy are improved, operation and maintenance personnel can timely process the target monitoring equipment in the non-online state, and online rate of the monitoring equipment is improved.

Description

RPA and AI combined monitoring equipment inspection method and device and electronic equipment
Technical Field
The application relates to the technical field of robot process automation and artificial intelligence, in particular to a method and a device for polling monitoring equipment by combining RPA and AI and electronic equipment.
Background
Robot Process Automation (RPA for short) simulates the operation of a human on a computer through specific robot software, and automatically executes a Process task according to rules.
Artificial Intelligence (AI) is a technical science that studies and develops theories, methods, techniques and application systems for simulating, extending and expanding human Intelligence.
Currently, many cumbersome and repetitive services require manual handling. For example, when whether each monitoring device in a city works normally is inspected, the monitoring device in the city needs to be screened manually to find the monitoring device which does not work normally, and then information such as the installation position and the name of the monitoring device which does not work normally is recorded, so that operation and maintenance personnel can maintain the monitoring device which does not work normally. This kind of supervisory equipment's mode of patrolling and examining needs the manual work to carry out screening and information recording, and the cost of labor is high, patrol and examine inefficiency, and the manual work carries out information recording and makes mistakes easily. How to patrol monitoring equipment to reduce the labor cost required by patrol of the monitoring equipment and improve the patrol efficiency and accuracy becomes a problem to be solved urgently.
Disclosure of Invention
The application provides a method and a device for polling monitoring equipment by combining RPA and AI and electronic equipment, which are used for solving the technical problems of high labor cost, low polling efficiency and poor accuracy of polling modes of monitoring equipment in the related technology.
The embodiment of the first aspect of the application provides a polling method of monitoring equipment combined with an RPA and an AI, which is applied to an RPA polling robot and comprises the following steps: acquiring first equipment state information of a plurality of monitoring equipment installed in a target area from a monitoring platform; acquiring attribute information of target monitoring equipment under the condition that the target monitoring equipment in an offline state exists in all monitoring equipment installed in a target area according to the first equipment state information; and recording the attribute information of the target monitoring equipment.
The embodiment of the second aspect of this application provides a supervisory equipment's of combination RPA and AI inspection device, is applied to the RPA and patrols and examines the robot, and the device includes: the first acquisition module is used for acquiring first equipment state information of a plurality of monitoring equipment installed in a target area from the monitoring platform; the second acquisition module is used for acquiring the attribute information of the target monitoring equipment under the condition that the target monitoring equipment in the offline state exists in all the monitoring equipment installed in the target area according to the first equipment state information; and the recording module is used for recording the attribute information of the target monitoring equipment.
An embodiment of the third aspect of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method according to the embodiment of the first aspect of the present application is implemented.
An embodiment of a fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to the embodiment of the first aspect of the present application.
An embodiment of the fifth aspect of the present application provides a computer program product, which includes a computer program, and the computer program, when executed by a processor, implements the method according to the embodiment of the first aspect of the present application.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the RPA inspection robot is combined with the AI to replace manual work, attribute information of target monitoring equipment in a non-online state in a plurality of monitoring equipment installed in a target area is automatically acquired and recorded, automatic inspection of each monitoring equipment installed in the target area is realized, labor cost required by inspection of the monitoring equipment is reduced, inspection efficiency and accuracy are improved, operation and maintenance personnel can timely process the target monitoring equipment in the non-online state, and online rate of the monitoring equipment is improved.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
In the drawings, like reference characters designate like or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are therefore not to be considered limiting of its scope.
Fig. 1 is a schematic flowchart of a polling method of a monitoring device according to a first embodiment of the present application, which combines RPA and AI;
fig. 2 is a schematic flowchart of a polling method of a monitoring device according to a second embodiment of the present application, which combines RPA and AI;
fig. 3 is a schematic flowchart of a polling method of a monitoring device according to a third embodiment of the present application, in which RPA and AI are combined;
fig. 4 is a schematic flowchart of a polling method of a monitoring device according to a fourth embodiment of the present application, in which RPA and AI are combined;
FIG. 5 is an exemplary diagram of a display interface of a monitoring platform according to a fourth embodiment of the present application;
fig. 6 is a schematic structural diagram of an inspection device of a monitoring apparatus combining an RPA and an AI according to a fifth embodiment of the present application;
fig. 7 is a block diagram of an electronic device for implementing the polling method of the monitoring device combining RPA and AI according to the embodiment of the present application.
Detailed Description
Reference will now be made in detail to the embodiments of the present application/disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application/disclosure, and should not be construed as limiting the present application/disclosure.
These and other aspects of the embodiments of the present application/disclosure will be apparent with reference to the following description and attached drawings. In the description and drawings, particular embodiments of the present application/disclosed embodiments are disclosed in detail as being indicative of some of the ways in which the principles of the present application/disclosed embodiments may be practiced, but it is understood that the scope of the present application/disclosed embodiments is not limited thereby. Rather, the embodiments of the application/disclosure include all changes, modifications and equivalents coming within the spirit and terms of the claims appended hereto.
It should be noted that, in the technical solution of the present disclosure, the acquisition, storage, application, and the like of the personal information of the related user all conform to the regulations of the related laws and regulations, and do not violate the customs of the public order.
In the description of the present application/disclosure, the term "plurality" means two or more.
The application provides a mode of patrolling and examining robot and AI combination through RPA replaces artifical automatic thinking that carries out supervisory equipment and patrols and examines. The RPA inspection robot can acquire first equipment state information of a plurality of monitoring equipment installed in a target area from a monitoring platform, acquire attribute information of the target monitoring equipment and record the attribute information of the target monitoring equipment when the target monitoring equipment in an offline state exists in all the monitoring equipment installed in the target area according to the first equipment state information.
The inspection method of the monitoring equipment combining the RPA and the AI can be applied to management systems such as safe cities, the inspection robot combines the AI to replace manpower, the attribute information of the target monitoring equipment in the non-online state is automatically acquired and recorded in a plurality of monitoring equipment installed in the city, automatic inspection of each monitoring equipment installed in the city is realized, the labor cost required by inspection of the monitoring equipment is reduced, the inspection efficiency and accuracy are improved, and operation and maintenance personnel can timely process the target monitoring equipment in the non-online state, so that the online rate of the monitoring equipment is improved.
For the purpose of clearly explaining the embodiments of the present invention, terms related to the embodiments of the present invention will be explained first.
In the description of the application, the RPA inspection robot refers to a software robot capable of automatically performing inspection of monitoring equipment by combining an AI technology and an RPA technology. The RPA inspection robot has two characteristics of 'connector' and 'non-invasion', and extracts, integrates and communicates data of different systems in a non-invasive mode on the premise of not changing an information system by simulating an operation method of a human.
In the description of the present application, an information entry robot refers to a software robot that can automatically perform information entry.
In the description of the present application, the target area is an area to be inspected whether the monitoring device installed therein is working normally, such as a city, a town, and the like. The target area may be divided into a plurality of sub-areas, for example, a city may be divided into a plurality of streets, or a town may be divided into a plurality of villages, etc.
In the description of the present application, a monitoring device refers to a device having a video monitoring function, such as a monitoring camera. The working state of the monitoring equipment can comprise an online state, an offline state and the like. The monitoring equipment is in an online state and indicates that the monitoring equipment is working normally; the monitoring device is in an off-line state, which indicates that the monitoring device is not working normally.
In the description of the present application, the first device status information is comprehensive information indicating the operating status of each monitoring device installed in a certain area, and according to the first device status information of each monitoring device installed in a certain area, it may be determined whether there is a monitoring device in an offline state in each monitoring device in the area. For example, the first device status information may include the number of monitoring devices in an online status, the number of monitoring devices in an offline status, the total number of monitoring devices, and/or the like in a certain area.
In the description of the present application, the second device status information is specific information indicating an operating status of a certain monitoring device, and whether the monitoring device is in an online status may be determined according to the second device status information of the certain monitoring device. For example, the second device status information may include a display status of a monitoring screen of a certain monitoring device and/or a display status of an icon of a certain monitoring device. Wherein, the monitoring picture is a real-time picture collected by the monitoring equipment. The display state of the monitoring screen may include a normal display state, and an abnormal display state such as failure to acquire image data of the monitoring screen or screen blur of the monitoring screen. An icon of the monitoring device is a computer graphic representing the monitoring device. The display state of the icon may specifically be a display color of the icon, for example, the icon is gray or colored.
In the description of the present application, a monitoring platform refers to a management platform of monitoring devices, and information such as first device status information and second device status information of each monitoring device managed by the monitoring platform can be displayed on the monitoring platform.
In the description of the present application, the operation and maintenance platform refers to an online platform for implementing functions of a maintenance worker inquiring or changing the working state and maintenance condition of the monitoring device, and may include, for example, a mobile terminal, a web terminal (accessed through a web page), and a backend database.
In the description of the present application, the attribute information is information indicating an attribute of the monitoring apparatus, such as an identification for uniquely distinguishing the monitoring apparatus from other monitoring apparatuses, an installation area, a model, and the like of the monitoring apparatus. Because different monitoring devices are usually installed in different areas, the installation area of the monitoring device can be used as the identifier corresponding to the monitoring device.
In the description of the application, the two-dimensional code (2-dimensional bar code) records data symbol information by using a black and white alternating rectangular matrix which is distributed on a plane (two-dimensional direction) according to a certain rule by using a specific geometric figure, consists of a two-dimensional code matrix figure, a two-dimensional code number and a lower explanatory text, and has the characteristics of large information amount, strong error correction capability, high reading speed, omnibearing reading and the like. The two-dimensional code image is an image including a two-dimensional code.
Two-dimensional code recognition, specifically, a technology for detecting a two-dimensional code in a two-dimensional code image and a position and content of the two-dimensional code, and is generally used in scenes such as two-dimensional code reading, image verification and the like.
A polling method, an apparatus, an electronic device, and a storage medium of a monitoring device that combines an RPA and an AI according to the present application/disclosure are described below with reference to the drawings.
First, an inspection method applied to a monitoring device combining an RPA and an AI of an RPA inspection robot in the embodiment of the present application will be described with reference to the drawings.
Fig. 1 is a flowchart of a polling method of a monitoring device that combines RPA and AI according to a first embodiment of the present application. As shown in fig. 1, the method may include the steps of:
step 101, obtaining first device state information of a plurality of monitoring devices installed in a target area from a monitoring platform.
It should be noted that the inspection method of the monitoring device combined with the RPA and the AI according to the embodiment of the present application may be executed by an inspection apparatus of the monitoring device combined with the RPA and the AI, and the inspection apparatus of the monitoring device combined with the RPA and the AI is simply referred to as an inspection apparatus hereinafter. Wherein, this inspection device can be patrolled and examined the robot by RPA and realize, for example, inspection device can patrol and examine the robot for RPA, perhaps inspection device can dispose in RPA patrols and examines the robot, and this application does not do the restriction to this.
The RPA inspection robot may be configured in an electronic device, and the electronic device may include, but is not limited to, a terminal device, a server, and the like. The embodiment of the application takes the inspection device as an example of an RPA inspection robot installed in a terminal device for explanation.
The RPA inspection robot in this embodiment may execute the method in real time in a specific time period or all day, or execute the method at a preset time interval in a specific time period or all day, which is not limited in this application. Wherein, the specific time period and the preset time interval can be set according to the requirement.
Alternatively, the RPA inspection robot may be started at regular time or based on the received start instruction. For example, the worker may trigger the above start instruction for the RPA inspection robot by means of a dialog. The triggering of the starting instruction for the RPA inspection robot may be implemented in various manners, for example, the starting instruction for the RPA inspection robot may be triggered in a manner of voice and/or text, and for example, the starting instruction for the RPA inspection robot may also be triggered in a manner of triggering a designated control on a human-computer interaction interface.
In the embodiment of the application, after the RPA inspection robot opens the monitoring platform, the mouse click operation can be simulated, the target area to be inspected is selected from the area list corresponding to the managed monitoring equipment displayed on the display interface of the monitoring platform, and then the first equipment state information of the monitoring equipment installed in the target area is acquired from the monitoring platform.
Step 102, acquiring attribute information of the target monitoring equipment under the condition that the target monitoring equipment in an offline state exists in all the monitoring equipment installed in the target area according to the first equipment state information.
And 103, recording the attribute information of the target monitoring equipment.
In the embodiment of the application, the RPA inspection robot can determine whether the target monitoring equipment in the offline state exists in each monitoring equipment installed in the target area according to the first equipment state information. And under the condition that the target monitoring equipment in the offline state does not exist, namely under the condition that all the monitoring equipment installed in the target area are in the online state, the RPA inspection robot can output prompt information, the inspection process is finished, after the preset time duration is waited, the step 101 is executed again, and a new round of inspection process is started. And when the RPA polling robot determines that the target monitoring equipment in the non-online state exists in the monitoring equipment installed in the target area according to the first equipment state information, the RPA polling robot can acquire the attribute information of the target monitoring equipment from the monitoring platform and record the attribute information of the target monitoring equipment so that operation and maintenance personnel can maintain the target monitoring equipment in the non-online state.
To sum up, according to the inspection method of monitoring devices combining the RPA and the AI provided in the embodiment of the present application, the RPA inspection robot obtains the first device status information of the multiple monitoring devices installed in the target area from the monitoring platform, and obtains the attribute information of the target monitoring device and records the attribute information of the target monitoring device when it is determined that the target monitoring device in the offline state exists in the monitoring devices installed in the target area according to the first device status information. Therefore, the RPA inspection robot is combined with the AI to replace manual work, attribute information of target monitoring equipment in a non-online state in a plurality of monitoring equipment installed in a target area is automatically acquired and recorded, automatic inspection of each monitoring equipment installed in the target area is realized, labor cost required by inspection of the monitoring equipment is reduced, inspection efficiency and accuracy are improved, operation and maintenance personnel can timely process the target monitoring equipment in the non-online state, and online rate of the monitoring equipment is improved.
The inspection method of the monitoring device combining the RPA and the AI provided in the embodiment of the present application is further described below with reference to fig. 2. Fig. 2 is a flowchart of a polling method of a monitoring device combining RPA and AI according to a second embodiment of the present application, and as shown in fig. 2, the method includes:
step 201, obtaining first device state information of a plurality of monitoring devices installed in a target area from a monitoring platform.
Step 202, according to the first device status information, determining whether a target monitoring device in an offline state exists in the monitoring devices installed in the target area, if so, executing step 203, otherwise, returning to execute step 201.
In the embodiment of the application, the first device state information may include the total number of the multiple pieces of monitoring equipment installed in the target area and the number of the pieces of monitoring equipment in the online state, and the RPA inspection robot may determine, according to the total number of the multiple pieces of monitoring equipment installed in the target area and the number of the pieces of monitoring equipment in the online state, whether there is any piece of target monitoring equipment in the offline state among the pieces of monitoring equipment installed in the target area. When the number of the monitoring devices in the online state is smaller than the total number, it can be determined that target monitoring devices in the offline state exist in the monitoring devices installed in the target area; when the number of the monitoring devices in the online state is not less than the total number, it may be determined that no target monitoring device in the offline state exists in the monitoring devices installed in the target area.
In the embodiment of the application, under the condition that it is determined that there is no target monitoring device in an offline state, that is, under the condition that each monitoring device installed in the target area is in an online state, the RPA inspection robot may output a prompt message, end the inspection process, wait for a preset time period, then return to re-execute step 201, and start a new round of inspection process. In a case where the RPA inspection robot determines that there is a target monitoring device in an offline state among the monitoring devices installed in the target area, the following step 203 may be performed.
And 203, acquiring second equipment state information of each monitoring equipment from the monitoring platform.
And 204, determining the working state corresponding to each monitoring device according to the second device state information of each monitoring device.
In a possible implementation form of the application, the RPA inspection robot can acquire the display state of the icon corresponding to each monitoring device installed in the target area from the monitoring platform, and then determine the working state corresponding to each monitoring device according to the display state of the icon corresponding to each monitoring device. That is, the second device status information may include a display status of an icon corresponding to each monitoring device; step 204 may include: and determining the working state corresponding to each monitoring device according to the display state of the icon corresponding to each monitoring device.
The display state of the icon may be specifically a display color of the icon, for example, the icon is gray or colored.
In the embodiment of the application, the RPA inspection robot can determine that the working state of the monitoring equipment is the off-line state when determining that the display color of the icon corresponding to the monitoring equipment is gray, and determine that the working state of the monitoring equipment is the on-line state when determining that the display color of the icon corresponding to the monitoring equipment is not gray.
Therefore, the RPA inspection robot can conveniently, quickly and accurately determine the working state corresponding to each monitoring device based on the display state of the icon of each monitoring device displayed on the display interface of the monitoring platform.
In another possible implementation form of the application, the RPA inspection robot may obtain the display state of the monitoring picture of each monitoring device installed in the target area from the monitoring platform, and further determine the working state corresponding to each monitoring device according to the display state of the monitoring picture of each monitoring device. That is, the second device status information may include a display status of a monitoring screen of each monitoring device; step 204 may include: and determining the working state corresponding to each monitoring device according to the display state of the monitoring picture of each monitoring device.
The display state of the monitoring picture can include a normal display state, and abnormal display states such as image data of the monitoring picture or picture blurring of the monitoring picture which cannot be acquired, the RPA inspection robot can determine that the working state of the monitoring device is an off-line state when determining that the display state of the monitoring picture of the monitoring device is the abnormal display state, and determine that the working state of the monitoring device is an on-line state when determining that the display state of the monitoring picture of the monitoring device is the normal display state.
Therefore, the RPA inspection robot can conveniently, quickly and accurately determine the working state corresponding to each monitoring device based on the display state of the monitoring picture of each monitoring device displayed on the display interface of the monitoring platform.
In the embodiment of the application, the target area may be divided into a plurality of sub-areas, and the RPA inspection robot may sequentially acquire the second device state information of the monitoring devices installed in each sub-area, and sequentially determine the working state of the monitoring device installed in the corresponding sub-area according to the second device state information of the monitoring devices installed in each sub-area. That is, step 204 may include: and determining the working state of the monitoring equipment installed in the corresponding sub-area according to the second equipment state information of the monitoring equipment installed in each sub-area in sequence.
The working state of the monitoring equipment installed in the corresponding sub-area can be determined according to the display state of the icon of the monitoring equipment installed in each sub-area and/or the display state of the monitoring picture.
For example, assuming that the target area is a city a, the city a is divided into 10 villages, for the 10 villages, the RPA inspection robot may sequentially obtain the second device status information of the monitoring devices installed in each village from the monitoring platform, and sequentially determine the working status of the monitoring devices installed in the corresponding village according to the second device status information of the monitoring devices installed in each village.
Therefore, the RPA inspection robot can automatically determine the working state corresponding to the monitoring equipment installed in each subarea based on the second equipment state information of the monitoring equipment installed in each subarea.
Step 205, determining the corresponding monitoring device with the working state of the offline state as the target monitoring device.
And step 206, acquiring the attribute information of the target monitoring equipment from the monitoring platform.
In the embodiment of the application, the attribute information of the target monitoring device can be displayed on the display interface of the monitoring platform, so that the RPA inspection robot can acquire the attribute information of the target monitoring device from the monitoring platform.
Step 207, recording the attribute information of the target monitoring device.
In the embodiment of the application, the RPA polling robot may repeatedly execute step 201 and step 207 at preset time intervals every day to realize repeated polling of a plurality of monitoring devices installed in a target area, establish an offline condition list of the monitoring devices of the current day with the attribute information of the target monitoring device recorded for the first time of the current day as a reference, and update the attribute information of the target monitoring device recorded in history by using the attribute information of the target monitoring device acquired subsequently in the current day to realize recording of the attribute information of the target monitoring device.
Accordingly, step 207 may be implemented by:
acquiring a history record; the historical records comprise attribute information of historical target monitoring equipment which is not in an online state in all monitoring equipment installed in the target area;
and under the condition that the attribute information of the target monitoring equipment is inconsistent with the attribute information of the historical target monitoring equipment, updating the historical record by using the attribute information of the target monitoring equipment.
The historical target monitoring equipment is monitoring equipment which is recorded in the historical record and is in an offline state.
In the embodiment of the application, the RPA inspection robot can compare the attribute information of the currently acquired target monitoring equipment with the attribute information of the target monitoring equipment recorded in the history record. And under the condition that the attribute information of the target monitoring equipment is consistent with the attribute information of the historical target monitoring equipment, the RPA inspection robot can take the historical record as the latest record. And under the condition that the attribute information of the target monitoring equipment is inconsistent with the attribute information of the historical target monitoring equipment, the RPA inspection robot can update the historical record by using the attribute information of the target monitoring equipment. For example, if the attribute information of a certain monitoring device a is contained in the history record but the currently acquired attribute information of the target monitoring device is not contained, the RPA inspection robot may change the operating state of the monitoring device a in the history record to the online state, and use the updated history record as the latest record. Or, the attribute information of a certain monitoring device b is not included in the history, but is included in the currently acquired attribute information of the target monitoring device, the RPA inspection robot may newly add the attribute information of the monitoring device b in the history, and use the updated history as the latest record.
Therefore, the RPA inspection robot can replace manual work by combining AI, automatically acquires and records attribute information of target monitoring equipment in a non-online state in a plurality of monitoring equipment installed in a target area, realizes automatic inspection of each monitoring equipment installed in the target area, reduces labor cost required by inspection of the monitoring equipment, improves inspection efficiency and accuracy, enables operation and maintenance personnel to timely process the target monitoring equipment in the non-online state, and improves the online rate of the monitoring equipment.
In a possible implementation form, in order to enable operation and maintenance personnel to timely maintain target monitoring equipment which is not in an online state in a target area, attribute information of the target monitoring equipment recorded by the RPA inspection robot can be recorded into an operation and maintenance platform, the operation and maintenance platform can operate in an extranet environment, and the monitoring platform can operate in an intranet environment. With reference to fig. 3, a process of recording attribute information of a target monitoring device recorded by an RPA inspection robot into an operation and maintenance platform in the inspection method of a monitoring device combining an RPA and an AI according to the embodiment of the present application will be described below.
Fig. 3 is a flowchart of a polling method of a monitoring device combining RPA and AI according to a third embodiment of the present application, and as shown in fig. 3, the method includes:
step 301, obtaining first device status information of a plurality of monitoring devices installed in a target area from a monitoring platform.
Step 302, when it is determined that the target monitoring device in the offline state exists in the monitoring devices installed in the target area according to the first device state information, sequentially acquiring second device state information of the monitoring devices installed in the sub-areas from the monitoring platform.
Wherein the target area may be divided into a plurality of sub-areas.
Step 303, determining the working state of the monitoring devices installed in the corresponding sub-areas according to the second device state information of the monitoring devices installed in the sub-areas in sequence.
The RPA inspection robot can determine the working state of the monitoring equipment installed in the corresponding sub-area according to the display state of the icon of the monitoring equipment installed in each sub-area and/or the display state of the monitoring picture.
And step 304, determining the corresponding monitoring equipment with the working state of the offline state as target monitoring equipment.
And 305, acquiring the attribute information of the target monitoring equipment from the monitoring platform.
Step 306, recording the attribute information of the target monitoring device.
The specific implementation process and principle of steps 301-306 may refer to the description of the foregoing embodiments, and are not described herein again.
Step 307, generating a two-dimensional code image containing the attribute information of the target monitoring device according to the attribute information of the target monitoring device.
And 308, displaying the two-dimension code image, so that the information entry robot analyzes the two-dimension code image by adopting a two-dimension code recognition technology, acquires the attribute information of the target monitoring equipment, and enters the acquired attribute information of the target monitoring equipment into the operation and maintenance platform.
In the embodiment of the application, the monitoring platform and the RPA patrol and examine robot operate in an intranet environment, the monitoring platform and the RPA patrol and examine robot can operate on the same terminal device P, the information input robot and the operation and maintenance platform operate in an extranet environment, and the information input robot and the operation and maintenance platform can operate on the same terminal device Q. After recording the attribute information of the target monitoring device, the RPA inspection robot may generate a two-dimensional code image including the attribute information of the target monitoring device, and display the two-dimensional code image on the display screen of the terminal device P.
In addition, in this embodiment of the application, an intermediate device may be used to scan whether a two-dimensional code image is displayed on the display screen of the terminal device P in real time, and when the two-dimensional code image is displayed on the display screen of the terminal device P, the two-dimensional code image may be sent to the terminal device Q to trigger the operation of the information entry robot on the terminal device Q.
Furthermore, the information entry robot can analyze the two-dimensional code image by adopting a two-dimensional code recognition technology to obtain the attribute information of the target monitoring equipment, and enter the obtained attribute information of the target monitoring equipment into a database of the operation and maintenance platform.
The information input robot can input the two-dimensional code image into the two-dimensional code recognition model in the AI field, so that the two-dimensional code image is analyzed by using the two-dimensional code recognition model, and the attribute information of the target monitoring equipment is obtained.
In addition, after the information entry robot acquires the attribute information of the target monitoring equipment, the acquired attribute information of the target monitoring equipment can be recorded. In addition, the information entry robot can compare the currently acquired attribute information of the target monitoring device with the attribute information of the target monitoring device recorded in the history record after acquiring the attribute information of the target monitoring device each time. And under the condition that the attribute information of the target monitoring equipment is consistent with the attribute information of the historical target monitoring equipment, the information entry robot can take the historical record as the latest record. And under the condition that the attribute information of the target monitoring equipment is inconsistent with the attribute information of the historical target monitoring equipment, the information entry robot can update the historical record by using the attribute information of the target monitoring equipment.
In the embodiment of the application, after the information entry robot enters the attribute information of the target monitoring device into the operation and maintenance platform, the operation and maintenance personnel can inquire the attribute information, the maintenance condition and the like of the target monitoring device by logging in the operation and maintenance platform.
It should be noted that, in the embodiment of the present application, in order to facilitate the operation and maintenance staff to query the attribute information, the maintenance condition, and the like of the target monitoring device, a conversation interface may be provided by using the conversation robot, the operation and maintenance staff may directly input the area to be queried or the identifier of the monitoring device, and the like on the conversation interface, and then the conversation robot may perform semantic understanding on the information input on the conversation interface to understand the intention of the user, and then query the database according to the intention, and display the query result on the conversation interface. Therefore, operation and maintenance personnel can conveniently inquire data related to the monitoring equipment.
Therefore, the RPA polling robot generates a two-dimensional code image containing the attribute information of the target monitoring equipment according to the attribute information of the target monitoring equipment and displays the two-dimensional code image, so that the information input robot analyzes the two-dimensional code image by adopting a two-dimensional code recognition technology to obtain the attribute information of the target monitoring equipment, which is obtained from a monitoring platform operated in an intranet environment, is sent to an information input robot operated in an extranet environment by the RPA polling robot, and the attribute information of the target monitoring equipment is automatically input into an operation and maintenance platform by the information input robot, thereby reducing the labor cost required by information input, improving the efficiency of information input, and enabling operation and maintenance personnel to obtain the attribute information of the target monitoring equipment in an off-line state in time through the operation and maintenance platform, and then the target monitoring equipment is processed in time so as to improve the online rate of the monitoring equipment.
The following describes a method for routing inspection of a monitoring device that combines an RPA and an AI according to an embodiment of the present application with reference to a flowchart of a method for routing inspection of a monitoring device that combines an RPA and an AI shown in fig. 4 and a display interface diagram of a monitoring platform shown in fig. 5. In the present embodiment, the target area is XX city, and the city is divided into N villages in a plurality of towns. Wherein N is an integer greater than 1.
Fig. 4 is a flowchart of a polling method of a monitoring device that combines RPA and AI according to a fourth embodiment of the present application.
Referring to fig. 4, the RPA patrol robot may open the monitoring platform, obtain first device status information of a plurality of monitoring devices in a target area XX city from the monitoring platform, and determine whether a target monitoring device in an offline state exists in the plurality of monitoring devices installed in XX city according to the first device status information of the plurality of monitoring devices. And under the condition that the target monitoring equipment which is not in the online state does not exist, finishing the inspection, waiting for a preset time period of 10 minutes, returning to the state of reopening the monitoring platform, and acquiring the first equipment state information of the plurality of monitoring equipment installed on the XX city on the monitoring platform. And under the condition that the target monitoring equipment in the offline state is determined to exist, acquiring the attribute information of the target monitoring equipment from the monitoring platform, and recording the attribute information of the target monitoring equipment.
For example, referring to fig. 5, first device status information of a plurality of monitoring devices installed in the XX city, that is, "(474/480)" shown in 501 in fig. 5, may be displayed on the monitoring platform, where "480" represents the total number of monitoring devices installed in the XX city, and "474" represents the number of monitoring devices in an online state. The RPA inspection robot can determine whether there is a target monitoring device in an offline state among the monitoring devices installed in XX according to "(474/480)". Since the number 474 of the monitoring devices in the online state in fig. 5 is smaller than the total number 480, the RPA inspection robot may determine that there is a monitoring device in the offline state in each monitoring device installed in the XX city, and then the RPA inspection robot may simulate a mouse click operation, click the next level mechanism in the XX city, that is, the XX town in fig. 5, and inspect the monitoring devices installed in each village in the town to obtain the attribute information of the target monitoring device in the offline state.
Specifically, the RPA patrol robot may obtain a total number N of villages governed by XX, set a total number of checked villages as M, and a total number of remaining unchecked villages as N, where an initial value of M is 0 and an initial value of N is N. The RPA inspection robot can click on the (M + 1) th village of the XX town, obtain second equipment state information of monitoring equipment installed in the village, determine the working state corresponding to each monitoring equipment according to the second equipment state information of each monitoring equipment, determine the monitoring equipment as target monitoring equipment when the monitoring equipment with the working state of being in an offline state is determined to exist in the village, further obtain attribute information of the target monitoring equipment from a monitoring platform, and record the attribute information of the target monitoring equipment in a document. When it is determined that there is no monitoring device in the village whose operating state is offline, it may be recorded in a document that there is no target monitoring device in the village whose operating state is offline. Further, n-1 and M-1 may be set, and then the M +1 th village in town XX is clicked, and the operating state of the monitoring device installed in the village is determined in a similar manner as described above until the total number n of remaining unseen villages is 0.
For each village, referring to the icon 502 of the monitoring device shown in fig. 5, the RPA inspection robot may sequentially obtain the display state of the icon 502 of each monitoring device in the village, and determine the working state of the corresponding monitoring device according to the display state of the icon 502 of each monitoring device. Or, referring to the monitoring picture on the right side of fig. 5, the RPA inspection robot may sequentially acquire the display state of the monitoring picture of each monitoring device in the village, and determine the working state of the corresponding monitoring device according to the display state of the monitoring picture of each monitoring device.
Further, the RPA polling robot may compare the recorded attribute information of the target monitoring devices in all the villages in XX town with the history record to obtain a document recording the attribute information of the target monitoring devices in all the villages in XX town, and return to perform polling again.
It should be noted that the above processes may be all executed in the intranet environment.
Further, the RPA inspection robot can also send the recorded document to an information input robot running in an external network environment so as to trigger the running of the information input robot. The RPA inspection robot can generate a two-dimensional code image containing attribute information of target monitoring equipment according to recorded documents, the two-dimensional code image is displayed on a display screen of the terminal equipment where the RPA inspection robot is located, and when the intermediate equipment scans the display screen of the terminal equipment where the RPA inspection robot is located and displays the two-dimensional code image, the intermediate equipment can send the two-dimensional code image to the terminal equipment where the information input robot is located, so that the operation of the information input robot on the terminal equipment is triggered.
The information entry robot can adopt a two-dimensional code recognition technology to analyze the two-dimensional code image so as to obtain the attribute information of the target monitoring equipment, and the obtained attribute information of the target monitoring equipment is entered into a database of the operation and maintenance platform, so that operation and maintenance personnel can inquire the attribute information, the maintenance condition and the like of the target monitoring equipment by logging in the operation and maintenance platform.
Therefore, the RPA inspection robot is combined with the AI to replace manual work, attribute information of target monitoring equipment in a non-online state in a plurality of monitoring equipment installed in a target area is automatically acquired and recorded, automatic inspection of each monitoring equipment installed in the target area is realized, labor cost required by inspection of the monitoring equipment is reduced, inspection efficiency and accuracy are improved, operation and maintenance personnel can timely process the target monitoring equipment in the non-online state, and online rate of the monitoring equipment is improved.
In order to implement the above embodiment, the present application further provides an inspection device of a monitoring device that combines an RPA and an AI. Fig. 6 is a schematic structural diagram of an inspection device of a monitoring apparatus combining an RPA and an AI according to a fifth embodiment of the present application.
As shown in fig. 6, the inspection device 600 of the monitoring device combining RPA and AI is applied to an RPA inspection robot, and includes: a first obtaining module 601, a second obtaining module 602, and a recording module 603.
The first obtaining module 601 is configured to obtain, from the monitoring platform, first device state information of multiple monitoring devices installed in a target area;
a second obtaining module 602, configured to obtain attribute information of a target monitoring device when it is determined, according to the first device state information, that a target monitoring device in an offline state exists among monitoring devices installed in a target area;
the recording module 603 is configured to record attribute information of the target monitoring device.
It should be noted that the inspection device 600 of the monitoring device combining the RPA and the AI according to the embodiment of the present application may perform the inspection method of the monitoring device combining the RPA and the AI according to the above embodiment. Wherein, inspection device 600 of the supervisory equipment who combines RPA and AI can be patrolled and examined the robot by the RPA and realize, for example, inspection device 600 of the supervisory equipment who combines RPA and AI can patrol and examine the robot for the RPA, or inspection device of supervisory equipment can dispose in the RPA patrols and examines the robot, and this application does not limit to this.
The RPA inspection robot may be configured in an electronic device, and the electronic device may include, but is not limited to, a terminal device, a server, and the like.
In one embodiment of the present application, the first device status information includes a total number of the plurality of monitoring devices and a number of monitoring devices in an online state; inspection device 600 of supervisory equipment who combines RPA and AI still includes:
and the determining module is used for determining that the target monitoring equipment in the offline state exists in all the monitoring equipment installed in the target area under the condition that the number of the monitoring equipment in the online state is less than the total number.
In an embodiment of the present application, the second obtaining module 602 includes:
the first acquisition unit is used for acquiring second equipment state information of each monitoring equipment from the monitoring platform;
the first determining unit is used for determining the working state corresponding to each monitoring device according to the second device state information of each monitoring device;
the second determining unit is used for determining the corresponding monitoring equipment with the working state of the offline state as target monitoring equipment;
and the second acquisition unit is used for acquiring the attribute information of the target monitoring equipment from the monitoring platform.
In one embodiment of the present application, the target area is divided into a plurality of sub-areas; a first determination unit configured to:
and determining the working state of the monitoring equipment installed in the corresponding sub-area according to the second equipment state information of the monitoring equipment installed in each sub-area in sequence.
In an embodiment of the application, the second device status information includes a display status of an icon corresponding to each monitoring device; a first determination unit configured to:
and determining the working state corresponding to each monitoring device according to the display state of the icon corresponding to each monitoring device.
In an embodiment of the present application, the second device status information includes a display status of a monitoring screen of each monitoring device; a first determination unit configured to:
and determining the working state corresponding to each monitoring device according to the display state of the monitoring picture of each monitoring device.
In an embodiment of the present application, the recording module 603 includes:
a third acquisition unit configured to acquire a history; the historical records comprise attribute information of historical target monitoring equipment which is not in an online state in all monitoring equipment installed in the target area;
and the updating unit is used for updating the history record by utilizing the attribute information of the target monitoring equipment under the condition that the attribute information of the target monitoring equipment is inconsistent with the attribute information of the historical target monitoring equipment.
In an embodiment of the present application, the inspection device 600 of the monitoring device combined with RPA and AI further includes:
the generating module is used for generating a two-dimensional code image containing the attribute information of the target monitoring equipment according to the attribute information of the target monitoring equipment;
and the display module is used for displaying the two-dimensional code image so that the information input robot analyzes the two-dimensional code image by adopting a two-dimensional code recognition technology, acquires the attribute information of the target monitoring equipment and inputs the acquired attribute information of the target monitoring equipment into the operation and maintenance platform.
It should be noted that the foregoing explanation of the embodiment of the inspection method for monitoring equipment combined with RPA and AI is also applicable to the inspection device for monitoring equipment combined with RPA and AI in this embodiment, and details that are not published in the embodiment of the inspection device for monitoring equipment combined with RPA and AI in this application are not repeated here.
To sum up, the inspection device of monitoring devices combining RPA and AI according to the embodiment of the present application obtains, from a monitoring platform, first device state information of a plurality of monitoring devices installed in a target area, and obtains attribute information of the target monitoring device and records the attribute information of the target monitoring device when it is determined that a target monitoring device in an offline state exists in each monitoring device installed in the target area according to the first device state information. Therefore, the RPA is combined with the AI to replace manual work, the attribute information of the target monitoring equipment which is not in an online state in a plurality of monitoring equipment installed in the target area is automatically acquired and recorded, the automatic inspection of each monitoring equipment installed in the target area is realized, the labor cost required by inspection of the monitoring equipment is reduced, the inspection efficiency and accuracy are improved, and operation and maintenance personnel can timely process the target monitoring equipment which is not in the online state so as to improve the online rate of the monitoring equipment.
In order to implement the foregoing embodiments, an electronic device is further provided in an embodiment of the present application, and includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the polling method of the monitoring device combining the RPA and the AI according to any one of the foregoing method embodiments.
In order to implement the foregoing embodiments, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the inspection method of the monitoring device that combines RPA and AI according to any one of the foregoing method embodiments.
In order to implement the foregoing embodiments, the present application further provides a computer program product, where when executed by an instruction processor in the computer program product, the inspection method of a monitoring device that combines an RPA and an AI according to any one of the foregoing method embodiments is implemented.
FIG. 7 illustrates a block diagram of an exemplary electronic device suitable for use in implementing embodiments of the present application. The electronic device 12 shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in FIG. 7, electronic device 12 is embodied in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. These architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, to name a few.
Electronic device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by electronic device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 30 and/or cache Memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 7, and commonly referred to as a "hard drive"). Although not shown in FIG. 7, a disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk Read Only Memory (CD-ROM), a Digital versatile disk Read Only Memory (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the application.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination of which may comprise an implementation of a network environment. Program modules 42 generally perform the functions and/or methodologies of the embodiments described herein.
Electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with electronic device 12, and/or with any devices (e.g., network card, modem, etc.) that enable electronic device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, the electronic device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public Network such as the Internet) via the Network adapter 20. As shown in FIG. 7, the network adapter 20 communicates with the other modules of the electronic device 12 via the bus 18. It should be appreciated that although not shown in FIG. 7, other hardware and/or software modules may be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the memory 28, for example, implementing the methods mentioned in the foregoing embodiments.
In the description of the present specification, reference to the description of "one embodiment," "some embodiments," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims (15)

1. A method for polling a monitoring device combining Robot Process Automation (RPA) and Artificial Intelligence (AI), which is applied to a RPA polling robot, comprises the following steps:
acquiring first equipment state information of a plurality of monitoring equipment installed in a target area from a monitoring platform;
acquiring attribute information of the target monitoring equipment under the condition that the target monitoring equipment in an offline state exists in all the monitoring equipment installed in the target area according to the first equipment state information;
and recording the attribute information of the target monitoring equipment.
2. The method of claim 1, wherein the first device status information comprises a total number of the plurality of monitoring devices and a number of monitoring devices in an online state;
before obtaining the attribute information of the target monitoring device, in a case that it is determined that there is a target monitoring device in an offline state among the monitoring devices installed in the target area according to the first device state information, the method further includes:
and determining that the target monitoring equipment in the offline state exists in each monitoring equipment installed in the target area under the condition that the number of the monitoring equipment in the online state is less than the total number.
3. The method according to claim 1, wherein the obtaining attribute information of the target monitoring device comprises:
acquiring second equipment state information of each monitoring equipment from the monitoring platform;
determining a working state corresponding to each monitoring device according to the second device state information of each monitoring device;
determining the corresponding monitoring equipment with the working state of the off-line state as the target monitoring equipment;
and acquiring the attribute information of the target monitoring equipment from the monitoring platform.
4. The method of claim 3, wherein the target region is divided into a plurality of sub-regions;
determining the working state corresponding to each monitoring device according to the second device state information of each monitoring device, including:
and determining the working state of the monitoring equipment installed in the corresponding sub-area according to the second equipment state information of the monitoring equipment installed in each sub-area in sequence.
5. The method according to claim 3, wherein the second device status information includes a display status of an icon corresponding to each monitoring device;
determining the working state corresponding to each monitoring device according to the second device state information of each monitoring device, including:
and determining the working state corresponding to each monitoring device according to the display state of the icon corresponding to each monitoring device.
6. The method according to claim 3, wherein the second device status information includes a display status of a monitoring screen of each of the monitoring devices;
determining the working state corresponding to each monitoring device according to the second device state information of each monitoring device, including:
and determining the working state corresponding to each monitoring device according to the display state of the monitoring picture of each monitoring device.
7. The method according to any one of claims 1-6, wherein the recording attribute information of the target monitoring device comprises:
acquiring a history record; the historical record comprises attribute information of historical target monitoring equipment which is not in an online state in each monitoring equipment installed in the target area;
and under the condition that the attribute information of the target monitoring equipment is inconsistent with the attribute information of the historical target monitoring equipment, updating the historical record by using the attribute information of the target monitoring equipment.
8. The method according to any one of claims 1-6, wherein after recording the attribute information of the target monitoring device, further comprising:
generating a two-dimensional code image containing the attribute information of the target monitoring equipment according to the attribute information of the target monitoring equipment;
and displaying the two-dimension code image so that the information input robot analyzes the two-dimension code image by adopting a two-dimension code recognition technology, acquires the attribute information of the target monitoring equipment, and inputs the acquired attribute information of the target monitoring equipment into an operation and maintenance platform.
9. The utility model provides a combination RPA and AI's supervisory equipment's inspection device which characterized in that is applied to the RPA and patrols and examines the robot, the device includes:
the first acquisition module is used for acquiring first equipment state information of a plurality of monitoring equipment installed in a target area from the monitoring platform;
a second obtaining module, configured to obtain attribute information of the target monitoring device when it is determined, according to the first device state information, that a target monitoring device in an offline state exists in each monitoring device installed in the target area;
and the recording module is used for recording the attribute information of the target monitoring equipment.
10. The apparatus of claim 9, wherein the first device status information comprises a total number of the plurality of monitoring devices and a number of monitoring devices in an online status;
the device, still include:
and the determining module is used for determining that target monitoring equipment in an offline state exists in the monitoring equipment installed in the target area under the condition that the number of the monitoring equipment in the online state is less than the total number.
11. The apparatus of claim 9, wherein the second obtaining module comprises:
the first acquisition unit is used for acquiring second equipment state information of each monitoring equipment from the monitoring platform;
a first determining unit, configured to determine a working state corresponding to each monitoring device according to second device state information of each monitoring device;
the second determining unit is used for determining the corresponding monitoring equipment with the working state of offline as the target monitoring equipment;
and the second acquisition unit is used for acquiring the attribute information of the target monitoring equipment from the monitoring platform.
12. The apparatus of claim 11, wherein the target region is divided into a plurality of sub-regions;
the first determining unit is configured to:
and determining the working state of the monitoring equipment installed in the corresponding sub-area according to the second equipment state information of the monitoring equipment installed in each sub-area in sequence.
13. The apparatus according to claim 11, wherein the second device status information includes a display status of an icon corresponding to each monitoring device;
the first determining unit is configured to:
and determining the working state corresponding to each monitoring device according to the display state of the icon corresponding to each monitoring device.
14. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1-8 when executing the computer program.
15. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-8.
CN202210547162.1A 2022-05-19 2022-05-19 RPA and AI combined monitoring equipment inspection method and device and electronic equipment Pending CN114827550A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024046433A1 (en) * 2022-09-01 2024-03-07 北京来也网络科技有限公司 Epidemic prevention supervision method and apparatus for realizing ia by combining rpa and ai, and electronic device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024046433A1 (en) * 2022-09-01 2024-03-07 北京来也网络科技有限公司 Epidemic prevention supervision method and apparatus for realizing ia by combining rpa and ai, and electronic device

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