CN112165526B - Mobile inspection method based on intelligent sensor - Google Patents
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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
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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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- 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
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- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
Abstract
The invention discloses a mobile inspection device and a mobile inspection method based on an 'intelligent sensor', and the mobile inspection device comprises an intelligent acquisition terminal, a rear-end cloud server and a mobile inspection system, wherein the rear-end cloud server comprises an Internet of things acquisition system, a monitoring service platform and an abnormity monitoring and early warning model module, the intelligent acquisition terminal is connected with the Internet of things acquisition system through a 4G, 5G, NB-IOT and other mobile Internet of things transmission network or wired optical fibers, the Internet of things acquisition system is in signal connection with the monitoring service platform, the intelligent acquisition terminal, the monitoring service platform and the Internet of things acquisition system are in message linkage with the mobile inspection system, the monitoring service platform and the Internet of things acquisition system are in message linkage with the abnormity monitoring and early warning model module, and the mobile inspection system is installed on an operation terminal. The invention solves the technical problem that a large number of false reports or misinformation caused by intelligent acquisition means cannot be effectively solved in the prior art, and effectively improves the data quality of inspection and monitoring.
Description
Technical Field
The invention relates to the field of inspection systems, in particular to a mobile inspection device and a mobile inspection method based on an intelligent sensor.
Background
One train from Jinnan to Guangzhou in 3.30.3.2020, derailment occurs in Chenzhou Yongxing county in the Hunan of the Jingguang railway, the accident cause system 'the train is turned over due to mud-rock flow landslide', major holes exist in geological disaster monitoring along the exposed railway, certain defects exist in the 'prevention and pre-control' aspect of various industries reflected from the side surface, particularly, a monitoring and monitoring system based on 'information management means' also has a certain blind area, and how to timely find abnormality and eliminate hidden danger develops into a 'prevention and pre-control' service focus.
At present, three technical modes are mainly adopted for monitoring and monitoring means based on informatization, namely a traditional electronic patrol system based on an IC card mode seriously depends on patrol personnel to carry out patrol inspection at fixed time and fixed point, so that problems cannot be found in time, an abnormal tracking and processing mechanism is lacked, and the effective processing of abnormal problems cannot be ensured. Secondly, the mobile intelligent terminal patrol system regularly and fixedly carries out patrol, so that the problems caused by the IC card mode can be solved, but the real-time discovery and abnormity solving cannot be still met, namely, the conventional abnormity cannot be timely responded and solved. And thirdly, real-time monitoring is carried out by adopting an intelligent monitoring and collecting means, although the means of intelligent monitoring and mobile patrol are available on the market, the problems of a large number of false reports and false reports caused by the intelligent collecting means cannot be effectively solved, and an intelligent means is urgently expected to solve the problems.
Disclosure of Invention
The invention aims to provide a mobile patrol device and a mobile patrol method based on an intelligent sensor, which are used for solving the technical problem that a large number of false reports or misinformation caused by intelligent acquisition means cannot be effectively solved in the prior art.
The invention solves the problems through the following technical scheme:
a mobile inspection method based on an intelligent sensor is realized by adopting a mobile inspection device based on the intelligent sensor, the mobile inspection device comprises an intelligent acquisition terminal, a rear-end cloud server and a mobile inspection system, the rear-end cloud server comprises an internet of things acquisition system, a monitoring service platform and an abnormal monitoring and early warning model module, the intelligent acquisition terminal is connected with the internet of things acquisition system through a mobile internet of things or a wired optical fiber, the internet of things acquisition system is in signal connection with the monitoring service platform, the intelligent acquisition terminal, the monitoring service platform and the internet of things acquisition system are in message linkage with the mobile inspection system, the monitoring service platform and the internet of things acquisition system are in message linkage with the abnormal monitoring and early warning model module, and the mobile inspection system is installed on an operation terminal;
the mobile patrol method comprises the following steps:
step A1) the intelligent acquisition terminal initiates data real-time reporting;
step A2) after the data are received by the Internet of things acquisition system, judging whether the data type is service data, equipment early warning data or hardware state data, if the data are the service data or the equipment early warning data, entering the step A3), and if the data are the hardware state data, refreshing the hardware state data;
step A3), starting an 'abnormity early warning monitoring model' by an Internet of things acquisition system to identify data, and if the data cannot be judged or identified, entering step A4), and if the data is identified successfully, entering step A5);
step A4), the patrolman of the mobile patrolling system verifies and collects the data which can not be identified in the step A3) to submit, and the step A3 is returned);
step A5), the Internet of things acquisition system dispatches an 'abnormity early warning monitoring model' again, judges whether the identified data triggers abnormity early warning, if yes, initiates abnormity early warning to the monitoring service platform and enters step A6), and if not, records the data and enters step A9);
step A6), after receiving the abnormal early warning of the data, the monitoring service platform judges whether the abnormal early warning is directed at surface inspection or unpredictable content, if yes, the monitoring service platform enters step A7), if not, a work order is automatically created and issued to a mobile inspection system, and the monitoring service platform enters step A8);
step A7), the monitoring service platform creates a regular inspection plan, generates inspection tasks regularly and issues the inspection tasks to each mobile inspection system, and then the step A8 is carried out;
step A8), moving patrolmen of the patrolling system to go to the specified position of the abnormal early warning, filling up patrolman tasks, collecting abnormal information, submitting the abnormal information, carrying out service data early warning by an abnormal early warning monitoring model, judging whether to start an abnormal work order, if so, entering the step A9), if not, finishing data abnormal early warning processing result confirmation, recording the data, and entering the step A10);
step A9), the patrolman of the mobile patrolling system retreats the abnormal work order and returns to the step A8);
step A10), the monitoring service platform dispatches the 'abnormity early warning monitoring model' again according to the abnormity early warning processing condition and the recorded monitoring data, and issues an abnormity evaluation analysis report regularly.
Preferably, the intelligent acquisition terminal is provided with a service monitoring function module, a transmission module and an independent bluetooth communication transmission module, the service monitoring function module comprises a geomagnetic terminal, a meter reading terminal, a tension monitor, an environment monitoring acquisition terminal, a video analysis camera and a video monitoring camera, the transmission module comprises an SIM (subscriber identity module) communication module, an Ethernet communication module, a bluetooth communication module, a time clock module and a data storage card module, and the independent bluetooth communication transmission module is in signal connection with the mobile patrol terminal.
Preferably, the registration mode of the intelligent acquisition terminal is set as real-time intelligent acquisition terminal equipment registration at a fixed point location or mobile intelligent terminal acquisition equipment registration at a non-fixed point location, the real-time intelligent acquisition terminal equipment at the fixed point location is set as a 'unique access authorization code' and a secret key, and the secret key is set as an encryption work key and a decryption work key.
Preferably, the internet of things acquisition system and the monitoring service platform are deployed in a server cluster mode.
Preferably, the anomaly monitoring model of the anomaly monitoring and early warning model module adopts a decision tree structure mode.
Preferably, the operation terminal is set as a computer operation terminal and a mobile intelligent terminal.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the intelligent acquisition terminal and the mobile inspection system are organically combined, a service abnormity monitoring system which is uniformly established by an abnormity monitoring early warning model is fully exerted, the problems of error report and error report caused by an intelligent acquisition monitoring means are effectively solved by fully utilizing a linkage system of intelligent monitoring acquisition, model monitoring analysis and mobile inspection response, the convenience and convenience brought by the intelligent acquisition terminal are fully exerted, namely the intelligent monitoring acquisition is organically embedded into the mobile inspection system, the intelligent monitoring acquisition is concentrated on the unpredictable abnormity real-time monitoring and monitoring, inspection personnel focuses on the unconventionality of unpredictable risk identification and analysis, real-time problem analysis and problem processing, and the like, the inspection work efficiency and the inspection quality of the inspection personnel are effectively improved, the 'inspection problem' of the mobile inspection system is really improved, the abnormal problem is solved, and the problem is solved, Ability to resolve risks ".
Drawings
FIG. 1 is a schematic diagram of the architecture of the present invention.
FIG. 2 is a schematic diagram of the external features of the anomaly monitoring and early warning model according to the present invention.
FIG. 3 is a diagram of data information interaction according to the present invention.
Fig. 4 is a flow chart of the operation of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples, but the embodiments of the present invention are not limited thereto.
Example 1:
referring to fig. 1, a mobile patrol device based on an intelligent sensor comprises an intelligent acquisition terminal, a rear-end cloud server and a mobile patrol system, wherein the intelligent acquisition terminal is provided with a service monitoring function module, a transmission module and an independent bluetooth communication transmission module, the service monitoring function module comprises a geomagnetic terminal, a meter reading terminal, a tension monitor, an environment monitoring acquisition terminal, a video analysis camera and a video monitoring camera, the transmission module comprises an SIM communication module, an ethernet communication module, a bluetooth communication module, a time clock module and a data storage card module, the independent bluetooth communication transmission module is in signal connection with the mobile patrol system, and the mobile patrol system can wirelessly read off-line data which is not reported by the intelligent acquisition terminal in time and meet the operation and maintenance patrol requirements of operation and maintenance personnel; the rear-end cloud server comprises an Internet of things acquisition system, a monitoring service platform and an abnormity monitoring and early warning model module, wherein the Internet of things acquisition system and the monitoring service platform are deployed in a server cluster mode, the intelligent acquisition terminal is connected with the Internet of things acquisition system through a mobile Internet of things or a wired optical fiber, the Internet of things acquisition system establishes a standardized Internet of things data acquisition bus protocol, and the intelligent acquisition terminal needs to follow the bus protocol to initiate functions such as safety verification, data reporting and data continuous transmission. The internet of things acquisition system provides a data query channel, and meets the requirement of a mobile patrol system for querying historical data.
The registration of the intelligent acquisition terminal is set as real-time intelligent acquisition terminal equipment registration of a fixed point location or mobile intelligent terminal acquisition equipment registration of a non-fixed point location, the real-time intelligent acquisition terminal equipment registration of the fixed point location is set as a 'unique access authorization code' and a secret key, and the secret key comprises an encryption work key and a decryption work key.
The internet of things collection system is in signal connection with the monitoring service platform, and the monitoring service platform receives data such as abnormal problems and equipment early warning forwarded by the internet of things collection terminal. The intelligent acquisition terminal, the monitoring service platform and the Internet of things acquisition system are all in message linkage with the mobile patrol system, the monitoring service platform, the Internet of things acquisition system and the abnormal monitoring and early warning model module are in message linkage, the monitoring service platform provides an intelligent acquisition terminal configuration function, a mobile patrol system configuration function, a real-time monitoring confirmation and linkage configuration function, an abnormal monitoring and early warning model module configuration function and a patrol management and evaluation function, namely, all data are analyzed in a unified mode by means of an abnormal monitoring and early warning model, abnormal monitoring and analysis reports are generated periodically, and the analysis reports comprise service data acquired by the intelligent acquisition terminal and equipment early warning data abnormal information gathering and analysis results. The monitoring service platform creates a corresponding abnormal work order according to the abnormal early warning, and dispatches the work order to related departments and personnel according to a preset work order processing rule, patrolling personnel daily move and patrol related patrol reporting records, abnormal work order processing process analysis conditions and the like, so that the needs of potential risk and problem mining are met. The monitoring service platform and the Internet of things acquisition system both adopt message middleware to meet the requirement of timely pushing messages.
The mobile patrol system is installed on the operation terminal. The mobile patrol system can look up data reported by the internet of things acquisition system, confirm the data and also look up 'abnormal/fault work orders and patrol tasks' assigned to a patrol inspector by the monitoring service platform. After the patrolman prejudges and analyzes, processes abnormity and solves problems on the spot, the patrolman checks and verifies item by item according to work orders or patrolling task requirements, and then the patrolman carries out patrolling and filling in the mobile patrolman system by means of photographing, video recording, filling in and checking, and feeds back to a monitoring service platform or an internet of things acquisition system. The operation terminal is set as a computer operation terminal and a mobile intelligent terminal. The mobile intelligent terminal needs to be provided with a camera module, a Bluetooth module, a GPS or Beidou satellite positioning module, a Wifi module and an SIM card mobile phone functional module, uses an Android system (more than 4.0 version), supports the installation of a mobile patrol system, and meets the requirements of patrol personnel for looking up service linkage information and supporting patrol filling operation through the mobile intelligent terminal. The computer operation terminal needs to support installation of a WEB browser and relevant functional software or plug-ins and access to a monitoring service platform, and operators can complete configuration and management of a patrol plan, query of abnormal work orders and patrol task execution conditions, query of historical monitoring data, setting of an abnormal monitoring early warning model (custom configuration of monitoring contents) and a mobile patrol system, and control of patrol results and judgment, analysis and summarization of patrol quality.
Referring to fig. 2, the anomaly monitoring and early warning model of the anomaly monitoring and early warning model module adopts a decision tree structure mode. The monitoring method comprises the steps of configuration of a foreseeable abnormity monitoring system related to an intelligent acquisition terminal and unforeseeable abnormity monitoring related to a mobile inspection system, wherein an abnormity monitoring early warning model comprises specific monitoring items, monitoring content description, monitoring index requirements and a service early warning judgment algorithm.
Referring to fig. 3 and 4, a mobile patrol method based on a "smart sensor" is adopted, and the mobile patrol device based on a "smart sensor" includes the following steps:
step A1) the intelligent acquisition terminal initiates data real-time reporting; after the intelligent acquisition terminal completes the monitoring and analysis of the service data, or monitors the equipment failure, or regularly reports the heartbeat of the intelligent acquisition terminal, the service data, the equipment early warning data, the hardware state data or the acquired heartbeat are encrypted through an encryption work key, then the reported data is initiated through a unique access authorization code, and the data is reported to the acquisition system of the Internet of things.
Step A2) after the Internet of things acquisition system receives the data, judging whether the data type is service data, equipment early warning data or hardware state data, if the data is the service data or the equipment early warning data, entering the step A3), and if the data is the hardware state data, refreshing the hardware state data;
step A3) the Internet of things acquisition system starts an 'abnormity early warning monitoring model' to identify data, if the data cannot be judged or identified, the step A4) is carried out, and if the identification is successful, the step A5) is carried out;
step A4), the mobile patrol system dispatches a patrol officer to check and collect the data which can not be identified in the step A3), and then submits the data and returns to the step A3);
step A5), the Internet of things acquisition system dispatches an 'abnormity early warning monitoring model' again, judges whether the identified data triggers abnormity early warning, if yes, initiates abnormity early warning to the monitoring platform and enters step A6), and if not, records the data and enters step A9);
step A6), after receiving the abnormal early warning of the data, the monitoring service platform judges whether the abnormal early warning is directed at surface inspection or unpredictable content, if yes, the monitoring service platform enters step A7), if not, a work order is automatically created and issued to a mobile inspection system, and the monitoring service platform enters step A8); the intelligent acquisition terminals are fixed at certain point locations, cannot complete coverage of inspection surfaces, cannot cope with unknown abnormalities and risk investigation, and therefore manual inspection of the surfaces needs to be carried out regularly, namely a monitoring service platform needs to create a regular inspection plan, periodically and automatically create periodic inspection tasks regularly, and appointments are sent to the point locations for inspection processing.
Step A7), the monitoring service platform creates a regular inspection plan, generates inspection tasks regularly and issues the inspection tasks to the mobile inspection systems, generates inspection tasks regularly and issues the inspection tasks to each mobile inspection system, and the step A8 is started;
step A8) moving a patrolman of the patrolling system to a specified position of the abnormal early warning, filling a patrolling task, submitting after collecting abnormal information, carrying out data early warning by an abnormal early warning monitoring model to judge whether an abnormal work order is started, if so, entering the step A9), and if not, finishing data abnormal early warning processing result confirmation, recording data, and entering the step A10);
step A9), the patrolman of the mobile patrolling system retreats the work order of the abnormal early warning and returns to the step A8); in view of the fact that the analysis or problem solving capability of the patrol personnel is different, the patrol personnel can find the problem and can not solve the problem, and other resources need to be coordinated for processing through background personnel; meanwhile, in order to ensure the exception processing result, multiple persons can be assigned to participate in exception processing at the same time, and the inspection processing quality is ensured.
Step A10), the monitoring service platform dispatches the 'abnormity early warning monitoring model' again according to the abnormity early warning processing condition and the recorded monitoring data, and issues an abnormity evaluation analysis report regularly.
The patrolman may receive three types of tasks, namely task one and response to an intelligent acquisition terminal linkage 'authentication request', namely, the patrolman can quickly confirm the message reported by the intelligent acquisition terminal. And a second task, processing abnormal work orders and inspection tasks issued by the mobile inspection system platform, and requiring inspection personnel to carry out inspection reporting in real time or regularly. And a third task, the patrol command forwarded by other platforms or sources, or the fact that some unknown abnormalities exist is reminded according to a message sent by the intelligent acquisition terminal (sensor), a patrol worker can go to the place to patrol, the found problems are reported, and the patrol worker is appointed to process by matching with a background.
The intelligent acquisition terminal and the mobile inspection system are organically combined, a service abnormity monitoring system which is uniformly established by an abnormity monitoring early warning model is fully exerted, the problems of error report and error report caused by an intelligent acquisition monitoring means are effectively solved by fully utilizing a linkage system of intelligent monitoring acquisition, model monitoring analysis and mobile inspection response, the convenience and convenience brought by the intelligent acquisition terminal are fully exerted, namely the intelligent monitoring acquisition is organically embedded into the mobile inspection system, the intelligent monitoring acquisition is concentrated on the unpredictable abnormity real-time monitoring and monitoring, inspection personnel focuses on the unconventionality of unpredictable risk identification and analysis, real-time problem analysis and problem processing, and the like, the inspection work efficiency and the inspection quality of the inspection personnel are effectively improved, the 'inspection problem' of the mobile inspection system is really improved, the abnormal problem is solved, and the problem is solved, Ability to resolve risks ".
Although the present invention has been described herein with reference to the illustrated embodiments thereof, which are intended to be preferred embodiments of the present invention, it is to be understood that the invention is not limited thereto, and that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure.
Claims (6)
1. A mobile patrol method based on an intelligent sensor is realized by adopting a mobile patrol device based on the intelligent sensor, and is characterized in that: the mobile inspection device comprises an intelligent acquisition terminal, a rear-end cloud server and a mobile inspection system, wherein the rear-end cloud server comprises an internet of things acquisition system, a monitoring service platform and an abnormity monitoring early warning model module, the intelligent acquisition terminal is connected with the internet of things acquisition system through a mobile internet of things or a wired optical fiber, the internet of things acquisition system is in signal connection with the monitoring service platform, the intelligent acquisition terminal, the monitoring service platform and the internet of things acquisition system are in message linkage with the mobile inspection system, the monitoring service platform and the internet of things acquisition system are in message linkage with the abnormity monitoring early warning model module, and the mobile inspection system is installed on an operation terminal;
the mobile patrol method comprises the following steps:
step A1) the intelligent acquisition terminal initiates data real-time reporting;
step A2) after the data are received by the Internet of things acquisition system, judging whether the data type is service data, equipment early warning data or hardware state data, if the data are the service data or the equipment early warning data, entering the step A3), and if the data are the hardware state data, refreshing the hardware state data;
step A3), starting an 'abnormity early warning monitoring model' by an Internet of things acquisition system to identify data, and if the data cannot be judged or identified, entering step A4), and if the data is identified successfully, entering step A5); step A4), the patrolman of the mobile patrolling system verifies and collects the data which can not be identified in the step A3) to submit, and the step A3 is returned);
step A5), the Internet of things acquisition system dispatches an 'abnormity early warning monitoring model' again, judges whether the identified data triggers abnormity early warning, if yes, initiates abnormity early warning to the monitoring service platform and enters step A6), and if not, records the data and enters step A9);
step A6), after receiving the abnormal early warning of the data, the monitoring service platform judges whether the abnormal early warning is directed at surface inspection or unpredictable content, if yes, the monitoring service platform enters step A7), if not, a work order is automatically created and issued to a mobile inspection system, and the monitoring service platform enters step A8);
step A7), the monitoring service platform creates a regular inspection plan, generates inspection tasks regularly and issues the inspection tasks to each mobile inspection system, and then the step A8 is carried out;
step A8), moving patrolmen of the patrolling system to go to the specified position of the abnormal early warning, filling up patrolman tasks, collecting abnormal information, submitting the abnormal information, carrying out service data early warning by an abnormal early warning monitoring model, judging whether to start an abnormal work order, if so, entering the step A9), if not, finishing data abnormal early warning processing result confirmation, recording the data, and entering the step A10); step A9), the patrolman of the mobile patrolling system retreats the abnormal work order and returns to the step A8); step A10), the monitoring service platform dispatches the 'abnormity early warning monitoring model' again according to the abnormity early warning processing condition and the recorded monitoring data, and issues an abnormity evaluation analysis report regularly.
2. The mobile patrol method based on the intelligent sensor as claimed in claim 1, wherein: the intelligent acquisition terminal is provided with service monitoring function module, transmission module and solitary bluetooth communication transmission module, service monitoring function module includes earth magnetism terminal, terminal of checking meter, pulling force monitor, environmental monitoring acquisition terminal, video analysis camera and video monitoring camera, transmission module includes SIM communication module, ethernet communication module, bluetooth communication module, time clock module and data storage card module, solitary bluetooth communication transmission module and removal inspection terminal signal connection.
3. The mobile patrol method based on the intelligent sensor as claimed in claim 1, wherein: the registration mode of the intelligent acquisition terminal is set as real-time intelligent acquisition terminal equipment registration of a fixed point location or mobile intelligent terminal acquisition equipment registration of a non-fixed point location, and the real-time intelligent acquisition terminal equipment of the fixed point location is set as a unique access authorization code and a secret key.
4. The mobile patrol method based on the intelligent sensor as claimed in claim 1, wherein: the Internet of things acquisition system and the monitoring service platform are deployed in a server cluster mode.
5. The mobile patrol method based on the intelligent sensor as claimed in claim 1, wherein: and an anomaly monitoring model of the anomaly monitoring and early warning model module adopts a decision tree structure mode.
6. The mobile patrol method based on the intelligent sensor as claimed in claim 1, wherein: the operation terminal is set as a computer operation terminal and a mobile intelligent terminal.
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