CN108880919A - Internet of things equipment operating status management method and system - Google Patents
Internet of things equipment operating status management method and system Download PDFInfo
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- CN108880919A CN108880919A CN201811071151.0A CN201811071151A CN108880919A CN 108880919 A CN108880919 A CN 108880919A CN 201811071151 A CN201811071151 A CN 201811071151A CN 108880919 A CN108880919 A CN 108880919A
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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
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0823—Errors, e.g. transmission errors
- H04L43/0829—Packet loss
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
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Abstract
Present disclose provides a kind of internet of things equipment operating status management methods, including：Internet of Things Topology Structure Modeling, the equipment established during internet of things data acquisition are subordinate to association relation model, relate generally to the equipment such as sensor, RTU, PLC, interchanger；Transmission state diagnosis, chooses network performance evaluation index, establishes network quality superiority and inferiority quantization diagnostic model, determine the superiority and inferiority grade of network quality；Running state data and data collection service process that single or multiple equipment acquire are blended analysis, establish the condition diagnosing model for having service feature by RTU/PLC condition diagnosing；Sensor states diagnosis carries out classification analysis to the data of sensor acquisition, establishes no data, the diagnostic model of the Various types of data abnormal phenomenon such as instrument transfinites, data are constant, data wander；And diagnostic result output, the internet of things equipment found during above-mentioned diagnosis is operating abnormally state and is exported according to specification.The disclosure additionally provides a kind of internet of things equipment operating status management system.
Description
Technical field
This disclosure relates to a kind of internet of things equipment operating status management method and system.
Background technique
The purpose of Internet of Things construction is that all items are connected by information sensor equipment with internet, carries out letter
Breath exchange, i.e. object object mutually ceases, to realize Weigh sensor and management.Internet of Things is in wisdom oil field, smart city, intelligent family at present
The industries such as residence, smart grid, which all have, to be widely applied, and terminal device, sensor, RTU are established（Remote Terminal
Unit, remote-terminal unit）/PLC（Programmable Logic Controller, programmable logic controller (PLC)）, interchanger
The signaling pathway and network topology structure of each link of network realize the intelligence, networking in part direction in every profession and trade
Management.
During every profession and trade constructs internet of things equipment topological structure, data acquisition is mainly got through and has led to what is transmitted
Road.On the one hand management for relevant device itself in Internet of Things process of construction is the calibration and test carried out in construction, separately
On the one hand taken in follow-up maintenance it is out of question inspect periodically calibrator (-ter) unit, the problematic mode temporarily checked is managed.Always
For body, lack the hand that integration, automated analysis management are carried out for internet of things equipment topological structure operating status of profession
Section.
In traditional internet of things equipment operating status management, it is unable to fully the shape using the data, equipment that acquire in real time
State information etc. carries out self diagnosis analysis, equipment management inefficiency, not can guarantee the stability of Internet of Things acquisition data and accurate
Property, great uncertainty is brought to subsequent applied analysis, have the safety management of terminal device also can biggish hidden
Suffer from.
Summary of the invention
At least one of in order to solve the above-mentioned technical problem, present disclose provides a kind of internet of things equipment operating status pipes
Manage method and system.
According to one aspect of the disclosure, a kind of internet of things equipment operating status management method, including：
Internet of Things Topology Structure Modeling, the equipment established during internet of things data acquisition are subordinate to association relation model, mainly relate to
And the equipment such as sensor, RTU, PLC, interchanger；
Transmission state diagnosis, chooses network performance evaluation index, establishes network quality superiority and inferiority quantization diagnostic model, determine net
The superiority and inferiority grade of network quality；
RTU/PLC condition diagnosing mutually melts running state data and data collection service process that single or multiple equipment acquire
Analysis is closed, the condition diagnosing model for having service feature is established；
Sensor states diagnosis, to sensor acquisition data carry out classification analysis, establish no data, instrument transfinites, data not
The diagnostic model of the Various types of data abnormal phenomenon such as change, data wander；And
The internet of things equipment found during above-mentioned diagnosis is operating abnormally state and exported according to specification by diagnostic result output.
According at least one embodiment of the disclosure, when establishing Internet of Things topology controlment, need to construct sensing
Subordinate relation between the different types equipment such as device, RTU, PLC, interchanger, and the equipment itself such as RTU, interchanger also need to examine
The subordinate relation of equipment between worry same type.
It is obtained by way of ping according at least one embodiment of the disclosure in transmission state diagnosis
The indexs such as data packetloss rate, the data two-way time of network quality quality are characterized, and multistage based on such Index Establishment（It is excellent, just
Often, poor, obstructed etc.）Network quality superiority and inferiority quantization diagnostic model.
According at least one embodiment of the disclosure, in RTU/PLC condition diagnosing, based on to Internet of Things topological structure
The service logic understanding embodied, establishes the targeted diagnostic models such as direct diagnosis, more equipment linkage diagnosises.
According at least one embodiment of the disclosure, the RTU/PLC diagnostic model based on foundation reads the equipment in real time
Operating status select one or more of them diagnostic method to determine that the RTU/PLC is based on the different situations of institute's reading state
It is no to be in abnormality.
It needs to be acquired according to sensor in sensor states diagnosis according at least one embodiment of the disclosure
Data characteristics（Such as instantaneous value, aggregate-value）Different, data exception reason difference（Such as no data has data but inaccuracy）It establishes
Multiple sensors condition diagnosing model, diagnostic model includes but is not limited to no data, instrument transfinites, data are constant, data drift
Move four seed types.
According at least one embodiment of the disclosure, transmission state diagnosis, RTU/PLC condition diagnosing, sensor
There are certain association between three links of condition diagnosing, fully consider that the diagnostic result of other links could be accurate in diagnosis
Determine abnormal cause.
It can be by diagnostic message according to subsequent after diagnostic result determines according at least one embodiment of the disclosure
It shows, requirement output needed for analysis, such as output diagnostic device, Diagnostic Time, device status data, equipment state diagnosis knot
By etc. data.
According to another aspect of the present disclosure, a kind of internet of things equipment operating status management system, including：
Internet of Things Topology Structure Modeling, the equipment established during internet of things data acquisition are subordinate to association relation model, mainly relate to
And the equipment such as sensor, RTU, PLC, interchanger；
Transmission state diagnosis, chooses network performance evaluation index, establishes network quality superiority and inferiority quantization diagnostic model, determine net
The superiority and inferiority grade of network quality；
RTU/PLC condition diagnosing mutually melts running state data and data collection service process that single or multiple equipment acquire
Analysis is closed, the condition diagnosing model for having service feature is established；
Sensor states diagnosis, to sensor acquisition data carry out classification analysis, establish no data, instrument transfinites, data not
The diagnostic model of the Various types of data abnormal phenomenon such as change, data wander；And
The internet of things equipment found during above-mentioned diagnosis is operating abnormally state and exported according to specification by diagnostic result output.
According at least one embodiment of the disclosure, firstly, typing Internet of Things topology data, establishes Internet of Things and opens up
Flutter structural model；Secondly, determining transmission state diagnostic model and optimal biography in conjunction with network environment and amount of bandwidth situation
Defeated network state diagnoses frequency；Again, RTU/PLC, sensor states diagnostic model are established in conjunction with place industry requirement, and passed through
Obtain RTU/PLC real-time status, sensor real-time data collection carries out auto state diagnosis；Finally, diagnostic message is defeated in real time
Out.
Detailed description of the invention
Attached drawing shows the illustrative embodiments of the disclosure, and it is bright together for explaining the principles of this disclosure,
Which includes these attached drawings to provide further understanding of the disclosure, and attached drawing is included in the description and constitutes this
Part of specification.
Fig. 1 shows the signal of internet of things equipment operating status management process in accordance with one embodiment of the present disclosure
Figure.
Fig. 2 shows the schematic diagrames diagnosed according to the transmission state of one embodiment of the disclosure.
Fig. 3 shows the schematic diagram of the RTU/PLC condition diagnosing according to one embodiment of the disclosure.
Fig. 4 shows the schematic diagram diagnosed according to the sensor states of one embodiment of the disclosure.
Specific embodiment
The disclosure is described in further detail with embodiment with reference to the accompanying drawing.It is understood that this place
The specific embodiment of description is only used for explaining related content, rather than the restriction to the disclosure.It also should be noted that being
Convenient for description, part relevant to the disclosure is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the disclosure can
To be combined with each other.The disclosure is described in detail below with reference to the accompanying drawings and in conjunction with embodiment.
Present disclose provides a kind of internet of things equipment operating status management methods.Below will be to this method the step of, carries out detailed
Thin description, it will be understood by those of skill in the art that not all step is necessary, those skilled in the art
It can select certain steps therein according to the actual situation to realize the internet of things equipment operating status management method of the disclosure.
Fig. 1 shows the schematic diagram of the internet of things equipment operating status management process of the disclosure.
In step sl, Internet of Things topology controlment is established.In this step, the record of internet of things equipment attribute information is supported
Enter, edit, and realizes sensor->RTU/PLC->Subordinate relation management of the equipment such as interchanger in data transmission procedure.
In step s 2, transmission state diagnosis is carried out.In this step, referred to based on the evaluation to network quality quality
Target analysis, establishes multistage network quality good or not quantization diagnostic model, and the grading evaluation of network quality is realized by diagnostic model,
Grade quantity, grade name, grading standard can carry out flexible configuration according to practical business scene.In this step, it is based on
The diagnostic model of foundation can carry out the on-line evaluation of current network state in conjunction with the data returned after ping.
In step s3, RTU/PLC condition diagnosing is carried out.In this step, according to the operating status of RTU/PLC itself,
The data of the different sensors acquisition connected under the operating status of difference RTU/PLC, same RTU/PLC under same telephone net node
Situation can establish a variety of different RTU/PLC operating status diagnostic models.In this step, based on the diagnostic model of foundation, benefit
The diagnostic analysis that various dimensions are carried out with RTU/PLC status data, the sensing data acquired in real time, determines whether RTU/PLC locates
In normal operating condition.
In step s 4, sensor states diagnosis is carried out.In this step, in conjunction with practical business application scenarios, analysis is passed
The function and data characteristics of sensor, parameter needed for defining sensor fault classification, fault diagnosis model, diagnostic model.?
In the step, the data volume obtained needed for diagnostic model is different number of parameters of different sizes, required is different.
In step s 5, diagnostic result output is carried out.In this step, step S2 to the S4 result information diagnosed is pressed
It is exported according to cannonical format.
Fig. 2 shows the schematic diagrames of the transmission state of step S2 diagnosis.
In the step s 21, frequency is diagnosed according to network environment and bandwidth situation reasonably optimizing network state, and with ping's
Mode sends test instruction.In step S22, real-time reception step S21 issues the returned data of test instruction, and will be received
Data-pushing is to step S23.In step S23, based on the data of step S22 push, mould is diagnosed using the network state of foundation
Type carries out automatic Evaluation, if network normally thens follow the steps S25, if Network Abnormal thens follow the steps S24.In step s 24, will
The abnormal results of step S23 diagnosis are exported according to cannonical format.In step s 25, since network is without exception, RTU/PLC is carried out
Condition diagnosing link.
Fig. 3 shows the schematic diagram of the RTU/PLC condition diagnosing of step S3.
In step S31, the running state data for obtaining RTU/PLC in real time thens follow the steps if data can be got
S32 thens follow the steps S33 if obtained less than data.In step s 32, based on the equipment running status data got,
Using direct diagnosis can accurate judgement RTU/PLC currently whether be in normal condition.In step S33, due to that can not obtain
The current status data of monitored RTU/PLC, it is therefore desirable to obtain other RTU/PLC under telephone net node associated by the equipment
Current status data and the equipment associated by sensor real-time data collection, and utilize more equipment linkage diagnosises carry out
Diagnosis.In step S34, the diagnostic result of step S32, S33 is exported according to specification.
Fig. 4 shows the schematic diagram of the sensor states diagnosis of step S4.
In step S41, the evaluation model for diagnosing different problems is established based on business scenario applied by sensor, and really
Parameter is inputted required for fixed each diagnostic model.In step S42, according to the difference of diagnostic model, corresponding sensor is obtained
Real time data carries out step S44 if it can get data, if cannot get data carries out step S43.In step S43
In, no data cause diagnosis is carried out based on the correlation model that step S41 is established, and diagnostic result is pushed into step S45.In step
In rapid S44, sensing data abnormity diagnosis is carried out based on the correlation model that step S41 is established, and diagnostic result is pushed into step
Rapid S45.In step S45, diagnostic result is exported according to specification.
The disclosure additionally provides a kind of internet of things equipment operating status management system, including：Internet of Things topology structure management,
Transmission state diagnosis, the diagnosis of RTU/PLC condition diagnosing, sensor states, diagnostic result output and display module.It needs to infuse
Meaning, those skilled in the art can select certain steps therein according to the actual situation to realize the Internet of Things of the disclosure
Equipment running status management system.
The corresponding function in the above method may be implemented in above-mentioned module, to realize the function of internet of things equipment operating status management
Energy.
The disclosure is further explained combined with specific embodiments below.
In the first embodiment, by taking the Network switch nodes condition diagnosing of oil field as an example.
The information such as nodename, node IP, the father node title of the oil field the A network switch are collected, 32 interchangers are amounted to
Node（Wherein first nodes 1, two-level node 8, three-level node 23）, establish oil field Network switch nodes topological diagram.
The server place network that transmission state diagnostic service is disposed is located at first nodes, using packet loss as transmission network shape
The evaluation index of state quality, and diagnostic result is divided into excellent（Packet loss is equal to 0）, it is normal（Packet loss is less than 25%）, it is poor（It loses
Packet rate is greater than 25% and less than 100%）, it is obstructed（Packet loss is equal to 100%）Level Four.Background service passes through once every minute step by step
The mode of ping obtains the newest packet loss data of each telephone net node, and it is real-time to combine transmission state diagnostic model to carry out
Diagnosis, and diagnostic result is exported.
In a second embodiment, by taking well site of oil field RTU operating status can not obtain as an example.
10 RTU are connected under the B telephone net node of oil field, each RTU is responsible for the data transmission in a well site.If B is exchanged
Machine node is in normal condition but some RTU of its connection can not get real-time running state, can only determine it is that B is handed at this time
It is obstructed for changing planes between node and the RTU, but the problem of can not determine RTU itself or fiber problem.At this point, by adopting
The real-time running state for collecting other 9 RTU carries out auxiliary judgment analysis, as long as there is a sensor that can obtain data in 9,
The problem of explanation is RTU itself.
In the third embodiment, by taking returning-oil temperature sensing data total between the oil-collecting of oil field drift as an example.
Between the C oil-collecting of oil field in total include 7 oil collecting rings, between oil-collecting export pipeline and each oil collecting ring pipeline pacify
Temperature sensor is filled, under normal circumstances, the intake pipeline between oil-collecting can mix hot water, make the crude oil temperature liter inside oil collecting ring
It is high and be easier to flow, so the temperature of the export pipeline liquid in the case where considering oil collecting ring heat dissipation itself between oil-collecting wants low
The temperature of liquid in oil collecting ring.For this business scenario, total returning-oil temperature sensing data drift is examined between the oil-collecting of foundation
Disconnected model is " returning-oil temperature is above the fluid temperature in each oil collecting ring between the real time data oil-collecting continuously acquired three times ".It is logical
The fluid temperature for analyzing recently returning-oil temperature and 7 oil collecting rings between oil-collecting three times in real time is crossed, when the condition for meeting diagnostic model
When illustrate that total returning-oil temperature sensor is proofreaded there are data wander phenomenon between oil-collecting.
In the above-described embodiments, it by being modeled to oil field Internet of Things topological structure, and combines business scenario to establish and passes
Defeated network state diagnostic model, RTU operating status diagnostic model, sensing data drift model, in conjunction with the network obtained in real time
The data such as total returning-oil temperature, oil collecting ring fluid temperature carry out real-time online diagnosis between packet loss, well site RTU operating status, oil-collecting,
The automatic diagnosis system of oil field internet of things equipment state is established, to guarantee the stability of internet of things data acquisition and the standard of data
True property provides strong guarantee.
It will be understood by those of skill in the art that above embodiment is used for the purpose of clearly demonstrating the disclosure, and simultaneously
Non- be defined to the scope of the present disclosure.For those skilled in the art, may be used also on the basis of disclosed above
To make other variations or modification, and these variations or modification are still in the scope of the present disclosure.
Claims (10)
1. a kind of internet of things equipment operating status management method, which is characterized in that including：
Internet of Things Topology Structure Modeling, the equipment established during internet of things data acquisition are subordinate to association relation model, mainly relate to
And the equipment such as sensor, RTU, PLC, interchanger；
Transmission state diagnosis, chooses network performance evaluation index, establishes network quality superiority and inferiority quantization diagnostic model, determine net
The superiority and inferiority grade of network quality；
RTU/PLC condition diagnosing mutually melts running state data and data collection service process that single or multiple equipment acquire
Analysis is closed, the condition diagnosing model for having service feature is established；
Sensor states diagnosis, to sensor acquisition data carry out classification analysis, establish no data, instrument transfinites, data not
The diagnostic model of the Various types of data abnormal phenomenon such as change, data wander；And
The internet of things equipment found during above-mentioned diagnosis is operating abnormally state and exported according to specification by diagnostic result output.
2. the method as described in claim 1, which is characterized in that when establishing Internet of Things topology controlment, need to construct biography
Subordinate relation between the different types equipment such as sensor, RTU, PLC, interchanger, and the equipment such as RTU, interchanger also need to consider
The subordinate relation of equipment between same type.
3. method according to claim 2, which is characterized in that in transmission state diagnosis, obtained by way of ping
The indexs such as data packetloss rate, the data two-way time of characterization network quality quality are taken, and multistage based on such Index Establishment（Excellent,
Normally, poor, obstructed etc.）Network quality superiority and inferiority quantization diagnostic model.
4. method as described in any one of claims 1 to 3, which is characterized in that in RTU/PLC condition diagnosing, based on to object
The service logic understanding that networking topographies structure is embodied, it is targeted to establish direct diagnosis, more equipment linkage diagnosises etc.
Diagnostic model.
5. method as claimed in claim 4, which is characterized in that the RTU/PLC diagnostic model based on foundation reads this in real time and sets
Standby operating status selects one or more of them diagnostic method to determine the RTU/PLC based on the different situations of institute's reading state
Whether abnormality is in.
6. the method according to claim 1 to 5, which is characterized in that in sensor states diagnosis, need according to biography
Sensor different data feature collected（Such as instantaneous value, aggregate-value）, different data abnormal cause（Such as no data, have data but
Inaccuracy）Establish multiple sensors condition diagnosing model, diagnostic model include but is not limited to no data, instrument transfinite, data
Constant, four seed type of data wander.
7. such as method as claimed in any one of claims 1 to 6, which is characterized in that transmission state diagnosis, RTU/PLC state
There are certain associations between diagnosis, sensor states three links of diagnosis, and the diagnosis of other links is fully considered in diagnosis
As a result abnormal cause could be accurately determined.
8. the method for claim 7, which is characterized in that, can be by diagnostic message according to rear after diagnostic result determines
Extend the requirement output needed for showing, analyzing, such as output diagnostic device, Diagnostic Time, device status data, equipment state diagnosis
The data such as conclusion.
9. a kind of internet of things equipment operating status management system, which is characterized in that including：
Internet of Things Topology Structure Modeling, the equipment established during internet of things data acquisition are subordinate to association relation model, mainly relate to
And the equipment such as sensor, RTU, PLC, interchanger；
Transmission state diagnosis, chooses network performance evaluation index, establishes network quality superiority and inferiority quantization diagnostic model, determine net
The superiority and inferiority grade of network quality；
RTU/PLC condition diagnosing mutually melts running state data and data collection service process that single or multiple equipment acquire
Analysis is closed, the condition diagnosing model for having service feature is established；
Sensor states diagnosis, to sensor acquisition data carry out classification analysis, establish no data, instrument transfinites, data not
The diagnostic model of the Various types of data abnormal phenomenon such as change, data wander；And
The internet of things equipment found during above-mentioned diagnosis is operating abnormally state and exported according to specification by diagnostic result output.
10. system as claimed in claim 9, which is characterized in that firstly, typing Internet of Things topology data, establishes Internet of Things
Net topology structural model；Secondly, determining transmission state diagnostic model and optimal in conjunction with network environment and amount of bandwidth situation
Transmission state diagnose frequency；Again, RTU/PLC, sensor states diagnostic model are established in conjunction with place industry requirement, and
By obtaining RTU/PLC real-time status, sensor real-time data collection carries out auto state diagnosis；Finally, by diagnostic message reality
When export.
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| CN116151999B (en) * | 2023-03-17 | 2023-09-26 | 杭州工猫科技有限公司 | RPA-based enterprise automatic tax return method and system |
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