CN116665336B - Inspection task execution method and system based on functional area - Google Patents
Inspection task execution method and system based on functional area Download PDFInfo
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- CN116665336B CN116665336B CN202310570640.5A CN202310570640A CN116665336B CN 116665336 B CN116665336 B CN 116665336B CN 202310570640 A CN202310570640 A CN 202310570640A CN 116665336 B CN116665336 B CN 116665336B
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- 238000007689 inspection Methods 0.000 title claims abstract description 77
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000006870 function Effects 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 230000002159 abnormal effect Effects 0.000 claims abstract description 6
- 238000012549 training Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000012552 review Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims 1
- 238000005299 abrasion Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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- 230000006872 improvement Effects 0.000 description 1
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- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000003860 storage Methods 0.000 description 1
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- 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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- 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
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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- 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
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- 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
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- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
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Abstract
The invention provides a patrol task execution method based on a functional area, which comprises the following steps: s1, configuration of a patrol task: the cloud platform is configured with a robot inspection task, and comprises inspection elements, execution time, a map, point positions and inspection functions, wherein each inspection function is set in a specific area of a park; s2, sending a patrol task: the cloud platform issues the task of completing configuration to the corresponding robot; s3, executing a patrol task: the robot which receives the task executes the inspection task according to the task package, packages and compresses the inspection record, the alarm record and the video monitoring record according to preset intervals, actively reports the packaged and compressed inspection record and the compressed inspection record to the cloud platform, and the cloud platform records the task execution condition and informs a user of related abnormal information and alarm information; the preset interval T is set to be in direct proportion to the predicted time T1 of the robot completing the task and the duration T2 of the robot, so that working data can be returned in time during the execution period and the duration of the robot task. The invention improves the intelligence and reliability of the robot inspection.
Description
Technical Field
The invention relates to the technical field of monitoring and inspection, in particular to an inspection task execution method and system based on a functional area.
Background
Inspection is an important means for guaranteeing production and life safety, related inspection technologies are continuously developed for many years, and manual inspection is changed into man-machine combination, and intelligence is gradually realized. In the existing inspection scheme, on one hand, due to the fact that the input manpower inspection is in direct proportion to the size of the area of the park, a large amount of manpower and material resources are required to be spent in conventional manpower inspection, on the other hand, part of the park environments are severe, the human body can be damaged when the manpower inspection is adopted, and therefore the inspection becomes more and more a development trend by means of robots.
The existing garden inspection robots in the market basically simply shoot and store through the cradle head, and the functions are simpler. The following disadvantages are mainly present: (1) At present, a routing inspection robot on the market can only travel along one path in the routing inspection aspect of a park, and has poor flexibility; (2) The camera only can take photos and upload videos through the holder, but cannot monitor and intelligently analyze the surrounding environment through thermal imaging or gas detection sensors and the like, so that the function is single.
Disclosure of Invention
Aiming at the defects and improvement demands of the existing method, the invention aims to provide the inspection task execution method and system based on the functional area, and the inspection functions are enriched and the intelligent degree and the reliability of the inspection of the robot are improved through the whole monitoring technical scheme that the inspection task of the campus inspection robot is intelligently issued, executed and returned.
According to the purpose of the invention, the invention provides a patrol task execution method based on a functional area, which comprises the following steps:
s1, configuration of a patrol task: the cloud platform is configured with a robot inspection task, and comprises inspection elements, execution time, a map, point positions and inspection functions, wherein each inspection function is set in a specific area of a park;
s2, sending a patrol task: the cloud platform issues the task of completing configuration to the corresponding robot;
s3, executing a patrol task: the robot which receives the task executes the inspection task according to the task package, packages and compresses the inspection record, the alarm record and the video monitoring record according to preset intervals, actively reports the packaged and compressed inspection record and the compressed inspection record to the cloud platform, and the cloud platform records the task execution condition and informs a user of related abnormal information and alarm information;
the preset interval T is set to be in direct proportion to the predicted time T1 of the robot completing the task and the duration T2 of the robot, so that working data can be returned in time during the execution period and the duration of the robot task.
The user can review the inspection record, the alarm record and the video monitoring record of the appointed point location through the webpage.
Further, the method also comprises the following steps: s4, charging back: after each robot completes the inspection task, automatically returning to the charging pile and waiting for the next inspection task to trigger; s5, updating the equipment state: each robot regularly reports its own status to the cloud platform.
In the step S2, the cloud platform performs neural network training through big data based on an artificial intelligent model to complete the establishment of the model, so that tasks can be automatically configured after training; the cloud platform regularly receives the robot information in place in the park, then invokes an algorithm to distribute the inspection tasks according to available robot resources, and sends the inspection tasks to be executed by each robot to the corresponding robot through a wireless network.
Wherein, the inspection function includes: mask identification, high-temperature detection and illegal personnel intrusion.
Preferably, t= [ α×t1+ (1- α) ×t2]/F, where α is a scaling factor and F is a preset frequency.
When a certain robot fails, the cloud platform calculates the remaining tasks according to the inspection tasks allocated to the robot and the working data of the robot received before the failure, and adds the remaining tasks to the standby robot, if no standby robot is available, the movable robot to be completed in the current robot is selected, so that inspection resources are well controlled in the first time.
According to the purpose of the invention, the invention provides a patrol task execution system based on a functional area, which is characterized in that: the system is configured to perform the above-described individual method steps.
The method and the system for executing the patrol task based on the functional area solve the technical problems that the daily task of the campus patrol robot needs personnel to manually issue and the campus patrol robot is unreliable in reporting and processing abnormal conditions in the task, realize the intelligent and reliable assistance to the campus security personnel to efficiently execute the patrol task, replace the manual operation to carry out the patrol task in the high-risk area and timely alarm of the abnormal conditions, and have remarkable progress.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate and do not limit the invention.
Fig. 1 is a flow chart of a method for executing a patrol task based on a functional area according to an embodiment of the invention.
Detailed Description
In order to more clearly illustrate the objects and technical solutions of the present invention, the present invention will be further described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the embodiments described below are only some, but not all, embodiments of the invention. Other embodiments, which are derived from the embodiments of the invention by a person skilled in the art without creative efforts, shall fall within the protection scope of the invention. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be arbitrarily combined with each other.
The invention provides a patrol task execution method based on a functional area, which comprises the following steps:
s1, configuration of a patrol task: the cloud platform is configured with a robot inspection task, including inspection elements, execution time, a map, point positions and inspection functions;
the cloud platform is based on an artificial intelligent model, and the neural network training is carried out through big data to complete the establishment of the model, so that tasks can be automatically configured;
the inspection function comprises: mask identification, high temperature detection, personnel illegal intrusion and the like are used for safety protection of a park, and each inspection function is set in a specific area of the park.
The map is used for setting a navigation path during the task execution of the robot.
S2, sending a patrol task: the cloud platform issues the task of completing configuration to the corresponding robot;
the cloud platform regularly receives the robot information in place in the park, then invokes an algorithm to distribute the inspection tasks according to available robot resources, and sends the inspection tasks to be executed by each robot to the corresponding robot through a wireless network;
the robot comprises a cleaning robot, an entrance checking robot, a patrol robot and the like;
the wireless network includes WIFI, zigBee,2.4G,5G,6G;
s3, executing a patrol task: the robot which receives the task executes the inspection task according to the task package, packages and compresses the inspection record, the alarm record and the video monitoring record according to preset intervals, actively reports the packaged and compressed inspection record and the compressed inspection record to the cloud platform, and the cloud platform records the task execution condition and informs a user of related abnormal information and alarm information;
the user can review the inspection record, the alarm record and the video monitoring record of the appointed point location through the webpage;
the preset interval is adopted to realize the timely and distributed uploading of the inspection data, so that the situation that the data is lost and even the data packet cannot be decompressed normally due to the influence of a network and the like because the data packet is excessively large to be uploaded at one time is avoided; in addition, in order to cope with the possible machine faults of the robot in the middle, the preset interval T is set to be in direct proportion to the expected time T1 of the robot completing the task and the duration T2 of the robot, so that working data can be returned in time during the execution period and the duration of the robot task, the storage of the working data before the faults and relay inspection of the follow-up robot are ensured when the faults occur, and the reliability of the system is improved through the two mechanisms.
Preferably, t= [ α×t1+ (1- α) ×t2]/F, where α is a scaling factor, and F is a preset frequency, and the range of values is [5,20].
Preferably, when a certain robot fails, the cloud platform calculates a remaining task according to the inspection task allocated to the robot and the working data of the robot received before the failure, and adds the remaining task to a movable robot to be completed in the current robot, so that inspection resources are distributed and controlled in the first time.
S4, charging back: after each robot completes the inspection task, the robot automatically returns to the charging pile and waits for the next inspection task to trigger.
Meanwhile, each robot reports the state of the robot to the cloud platform regularly, wherein the state comprises the abrasion degree of the part, the current electric quantity and the like.
Furthermore, the embodiment of the invention also provides a patrol task execution system based on the functional area, which is constructed to execute the steps of the method.
The present invention also provides various types of programmable processors (FPGA, ASIC or other integrated circuit) for running a program, wherein the program when run performs the steps of the embodiments described above.
The invention also provides corresponding computer equipment, comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the memory realizes the steps in the embodiment when the program is executed.
Although the embodiments of the present invention are described above, the embodiments are only used for facilitating understanding of the present invention, and are not intended to limit the present invention. Any person skilled in the art to which the present invention pertains may make any modifications, changes, equivalents, etc. in form and detail of the implementation without departing from the spirit and principles of the present invention disclosed herein, which are within the scope of the present invention. Accordingly, the scope of the invention should be determined from the following claims.
Claims (4)
1. The method for executing the inspection task based on the functional area is characterized by comprising the following steps:
s1, configuration of a patrol task: the cloud platform is configured with a patrol task of the robot, wherein the patrol task comprises patrol elements, execution time, a use map, point positions and patrol functions, and each patrol function is set in a specific area of a park;
s2, sending a patrol task: the cloud platform issues the configured inspection task to the corresponding robot; the cloud platform is based on an artificial intelligent model, and the neural network training is carried out through big data to complete the establishment of the model, so that tasks can be automatically configured after training;
s3, executing a patrol task: the robot which receives the inspection task executes the inspection task according to the task package, packages the inspection record, the alarm record and the video monitoring record according to a preset interval T, actively reports the packaged and compressed record to the cloud platform, records the task execution condition, and notifies the user of related abnormal information and alarm information;
the preset interval T is set to be in direct proportion to the predicted time T1 of the robot completing the inspection task and the duration T2 of the robot, so that working data can be returned in time during the execution period and the duration of the robot task;
the specific calculation formula of the predetermined interval T is as follows: t= [ α×t1+ (1- α) ×t2]/F, where α is a scaling factor and F is a preset frequency;
s4, charging back: after each robot completes the inspection task, automatically returning to the charging pile and waiting for the triggering of the next inspection task;
s5, updating the equipment state: each robot reports the state of the robot to the cloud platform regularly;
when a certain robot fails, the cloud platform calculates the residual task according to the inspection task allocated to the robot and the working data of the robot received before the failure, and adds the residual task to the standby robot, if no standby robot is available, the movable robot which is about to complete the task in the current robot is selected, so that inspection resources are well controlled in the first time.
2. The method of claim 1, wherein the user is able to review the inspection record, the alarm record, and the video surveillance record for the specified point location via a web page.
3. The method of any one of claims 1-2, wherein: in step S2, the cloud platform periodically receives the robot information in place in the campus, and then invokes an algorithm to allocate the inspection tasks according to available robot resources, and sends the inspection tasks to be executed by each robot to the corresponding robot through a wireless network.
4. A method as claimed in claim 3, wherein: the inspection function comprises: mask identification, high-temperature detection and illegal personnel intrusion.
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| CN116938984B (en) * | 2023-09-14 | 2023-11-21 | 四川泓宝润业工程技术有限公司 | Pipeline inspection method based on unmanned aerial vehicle and automatic hangar |
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