CN105553747B - A kind of data acquisition fault early warning system and its control method based on Internet of Things - Google Patents
A kind of data acquisition fault early warning system and its control method based on Internet of Things Download PDFInfo
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- CN105553747B CN105553747B CN201610066093.7A CN201610066093A CN105553747B CN 105553747 B CN105553747 B CN 105553747B CN 201610066093 A CN201610066093 A CN 201610066093A CN 105553747 B CN105553747 B CN 105553747B
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000012546 transfer Methods 0.000 claims abstract description 14
- 230000002159 abnormal effect Effects 0.000 claims description 21
- 238000004458 analytical method Methods 0.000 claims description 4
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- 238000012544 monitoring process Methods 0.000 abstract description 13
- 238000007726 management method Methods 0.000 description 4
- 241001269238 Data Species 0.000 description 3
- 238000004378 air conditioning Methods 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000005057 refrigeration Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 206010033799 Paralysis Diseases 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
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- 235000008434 ginseng Nutrition 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
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- 230000008016 vaporization Effects 0.000 description 1
- 238000009834 vaporization Methods 0.000 description 1
Classifications
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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
- H04L43/16—Threshold monitoring
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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
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0695—Management of faults, events, alarms or notifications the faulty arrangement being the maintenance, administration or management system
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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
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
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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
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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Abstract
The invention discloses a kind of, and the data based on Internet of Things acquire fault early warning system and its control method, including data acquisition gateway, transfer bus and the multiple running equipments for being connected to transfer bus, the data acquisition gateway is equipped with memory and alarm module, and the real time data of each running equipment is received by transfer bus；The data acquisition gateway further includes fault pre-alarming device, and fault pre-alarming device is equipped with warning module, detector and comparing device, and the data that the warning module generates when breaking down for recording equipment simultaneously generate early warning rule；Detector identifies real time data, and is compared and analyzed the early warning rule of data and warning module by comparing device, and when being consistent with early warning rule, control alarm module is issued warning signal.The data mode when present invention is by device fails records, and forms the early warning rule of fault data, applied to the monitoring of subsequent data acquisition, gives warning in advance, prevents equipment from breaking down again.
Description
Technical field
The present invention relates to industrial internet of things field, refer in particular to a kind of data acquisition fault early warning system based on Internet of Things
And its control method.
Background technique
Technology of Internet of things gradually adopt to each mega project as most basic hardware data in Internet of Things application by popularization and application
Collecting system, the mass data generated when base's equipment is run collect cloud server terminal, make corresponding cloud application, realize to system
In a large amount of running equipments real time monitoring and management.For example, the central air-conditioning management system based on Internet of Things, existing central hollow
Adjusting system is made of cold and heat source system and air handling system.The principle of liquid vaporization refrigeration is used to provide for air handling system
Institute's chilling requirement, to offset the refrigeration duty of indoor environment；Heating system provides for air handling system to offset indoor environment
The heat of thermic load.A large amount of basic running equipments are equipped in the system, such as air compressor, condenser, throttling set, evaporator
Deng, each equipment can generate a large amount of real time data during day-to-day operation, by monitoring these real time datas, can to its into
The management works such as row daily maintenance or fault pre-alarming.
In the process of real time of monitoring collection, when running equipment breaks down, monitoring personnel will turn out for work in time, arrive
Scene remotely repairs and maintenance work.When breaking down every time, remembered according to the case where real time data at that time
Record, and warning data record rule is set, form the early warning mechanism of monitoring work from now on.Such as above-mentioned central air-conditioning management system,
Common failure includes: that suction temperature is too high or too low, delivery temperature is abnormal, pressure at expulsion is higher or excessively low, is being occurred
The real time data generated when failure, such as fault code, data attribute, the upper and lower limits of data, message content and connects
Object etc. is received, a series of this real-time data record gets off, and sets failure report, sets monitoring rules, pre- as failure from now on
Police will be highly desirable to.
Summary of the invention
It is an object of that present invention to provide a kind of, and the data based on Internet of Things acquire fault early warning system and its control method, will
The data mode generated when device fails is recorded and is formed the early warning rule of fault data, is applied to logarithm from now on
According to the real time monitoring of acquisition, and early warning work is made in advance, prevent the failure of equipment in the same circumstances from occurring again.
It provides in order to achieve the above object, technical solution of the present invention:
A kind of data acquisition fault early warning system based on Internet of Things, including data acquisition gateway, transfer bus and company
Multiple running equipments of transfer bus are connected to, the data acquisition gateway is equipped with memory and alarm module, and total by transmission
Line receives the real time data of each running equipment；The data acquisition gateway further includes fault pre-alarming device, the fault pre-alarming dress
Warning module, detector and comparing device have been installed, what the warning module generated when breaking down for recording equipment
Data simultaneously generate early warning rule；The detector identifies real time data, and passes through comparing device for data and early warning
The early warning rule of module compares and analyzes, and when being consistent with early warning rule, control alarm module is issued warning signal.
Wherein, the warning module includes logger and early warning rule base, and the logger is for recording running equipment event
The data generated when barrier, and the parameter of fault data is generated into early warning rule, it is stored in the early warning rule base, for the data ratio
Device is called.
Further, the alarm module includes message display and sound precaution device, and the message display issues
The information warning of picture and text；The sound precaution device issues the audio alarm of early warning jingle bell.It allows alarm module by vision and listens
The diversified forms of feel remind monitoring personnel.
Further, the memory includes general data message store and COV datagram library；The general data report
Library is used to store the normal data of running equipment normal operation generation；COV datagram library is for storing running equipment
Abnormal generated abnormal data.
About COV data, the biggish data of dispersion degree are generally referred to.In practical applications, if running equipment generation is different
Often, then the data that its operation data generated is generated with the running equipment before are with large variation.Therefore, data of the invention
Acquiring fault early warning system, the generated operation data under abnormality is identified as COV data by running equipment, and makees corresponding
Operation.
On the basis of the above, the detector analyzes real time data, and the data after analysis are separately sent to
General data message store or COV datagram library.
The present invention also provides a kind of control method using above-mentioned data acquisition fault early warning system, step includes:
Q1: the data acquisition gateway receives the real time data of each running equipment by transfer bus；
Q2: the fault pre-alarming device is monitored received real time data；
Q3: the detector analyzes real time data, when real time data is the abnormal data that running equipment generates,
Jump to step Q4；When real time data is the normal data that running equipment generates, the memory is sent by normal data
General data message store；
Q4: abnormal data is compared the comparing device with the early warning rule of early warning rule base, works as abnormal data
When meeting early warning value, issues command signal control alarm module and sound an alarm；Otherwise, memory is sent by abnormal data
COV datagram library.
It further, further include the setting procedure to early warning rule before the detector analyzes real time data,
Its step includes:
S1: when running equipment breaks down, the logger of the warning module is by the fault data recorder of running equipment
And generate parameter list；
S2: fault data parameter list is stored in early warning rule base by the logger；
S3: degree is generated according to the standard operating status and abnormal data of running equipment and is preset, early warning value is set.
Wherein, the fault data of the running equipment includes: fault code, data attribute, data upper and lower limits, message
The real time datas content such as content and reception object.
Further, the control method further includes the setting procedure to the early warning value, which is to reach the failure
Advance value setting before data.Specifically, the advance value may be provided in the upper and lower range of the fault data parameter, can root
The parameter setting of advance value is carried out according to practical situations.
Further, the alarm module issues information warning by message form and/or is sent out by early warning jingle bell form
Audio alarm out.The two ways of picture and text and jingle bell according to the actual situation, while can be carried out or respectively individually be carried out, to lead to
Know that monitoring personnel arouses attention in time, and handles accordingly.
A kind of data acquisition fault early warning system and its control method based on Internet of Things of the present invention, passes through data acquisition network
The fault pre-alarming device being equipped with is closed, generated real time data records when running equipment failure is occurred, and forms failure
The early warning rule of data.When data acquisition, the real time data of operation data is carried out by the detector of fault pre-alarming device
Identification then carries out the early warning value of the abnormal data and above-mentioned record and formation early warning rule such as the abnormal data that equipment generates
Analysis is compared, if being consistent with early warning value, confirms that the operating status of the running equipment will move closer to the state of failure generation, answers
Early warning is carried out at once reminds work, notice monitoring personnel makes respective handling, the running equipment is avoided to break down again, thus
Cause the running equipment to be paralysed, influences the operational paradigm of entire data collection system.
Detailed description of the invention
Fig. 1 is the structural schematic diagram that a kind of data based on Internet of Things of the present invention acquire fault early warning system；
Fig. 2 is using a kind of control method flow chart of the data acquisition fault early warning system based on Internet of Things of the present invention.
Specific embodiment
A kind of data acquisition fault early warning system and its control method based on Internet of Things of the invention is described with reference to the drawings.
As shown in Figure 1, the data acquire fault early warning system, including data acquisition gateway, transfer bus and it is connected to
Multiple running equipments of transfer bus, the data acquisition gateway is equipped with memory and alarm module, and is connect by transfer bus
Receive the real time data of each running equipment；The data acquisition gateway further includes fault pre-alarming device, and the fault pre-alarming device is set
There are warning module, detector and comparing device, the data that the warning module generates when breaking down for recording equipment
And generate early warning rule；The detector identifies real time data, and passes through comparing device for data and warning module
Early warning rule compare and analyze, when being consistent with early warning rule, control alarm module issue warning signal.
Wherein, the warning module includes logger and early warning rule base, and the logger is for recording running equipment event
The data generated when barrier, and the parameter of fault data is generated into early warning rule, it is stored in the early warning rule base, for the data ratio
Device is called.
Preferably, the alarm module includes message display and sound precaution device, and the message display issues figure
The information warning of text；The sound precaution device issues the audio alarm of early warning jingle bell.Alarm module is allowed to pass through vision and the sense of hearing
Diversified forms, remind monitoring personnel.
Preferably, the memory includes general data message store and COV datagram library；The general data message
Library is used to store the normal data of running equipment normal operation generation；COV datagram library is different for storing running equipment
Abnormal data caused by often.
On the basis of the above, the detector analyzes real time data, and the data after analysis are separately sent to
General data message store or COV datagram library.
As shown in Fig. 2, control method of the present invention using above-mentioned data acquisition fault early warning system, step includes: institute
State the real time data that data acquisition gateway receives each running equipment by transfer bus；The fault pre-alarming device is to received reality
When data be monitored；The detector analyzes real time data:
When real time data is the abnormal data that running equipment generates, the comparing device is by abnormal data and pre- police regulations
Then the early warning rule in library is compared, and when abnormal data meets early warning value, issues command signal control alarm module and issues police
Report；Otherwise, abnormal data is sent to the COV datagram library of memory；
When real time data is the normal data that running equipment generates, the common of the memory is sent by normal data
Datagram library.
It further include the setting procedure to early warning rule, step packet before the detector analyzes real time data
Include: when running equipment breaks down, the logger of the warning module by the fault data recorder of running equipment and generates ginseng
Number table；It states logger and fault data parameter list is stored in early warning rule base；According to the standard operating status and exception of running equipment
Data generate degree and preset, and set early warning value.
The fault data of the running equipment includes: fault code, data attribute, data upper and lower limits, message content
And receive the real time datas contents such as object.
Preferably, the control method further includes the setting procedure to the early warning value, which is to reach the number of faults
It is arranged according to preceding advance value.Wherein, the advance value may be provided in the upper and lower range of the fault data parameter, can be according to reality
The parameter setting of border applicable cases progress advance value.
Preferably, the alarm module issues information warning by message form and/or is issued by early warning jingle bell form
Audio alarm.The two ways of picture and text and jingle bell according to the actual situation, while can be carried out or respectively individually be carried out, to notify
Monitoring personnel arouses attention in time, and handles accordingly.
According to the disclosure and teachings of the above specification, those skilled in the art in the invention can also be to above-mentioned embodiment party
Formula is changed and is modified.Therefore, the invention is not limited to the specific embodiments disclosed and described above, to of the invention
Some modifications and changes should also be as falling into the scope of the claims of the present invention.In addition, although being used in this specification
Some specific terms, these terms are merely for convenience of description, does not limit the present invention in any way.
Claims (9)
1. a kind of data based on Internet of Things acquire fault early warning system, including data acquisition gateway, transfer bus and connection
To multiple running equipments of transfer bus, the data acquisition gateway is equipped with memory and alarm module, and passes through transfer bus
Receive the real time data of each running equipment；It is characterized in that, the data acquisition gateway further includes fault pre-alarming device, the event
Hinder prior-warning device and be equipped with warning module, detector and comparing device, the warning module breaks down for recording equipment
When the data that generate and generate early warning rule, the warning module includes logger and early warning rule base, and the logger is used for
The data generated when recording running equipment failure, and the parameter of fault data is generated into early warning rule, it is stored in the early warning rule
Library is called for the comparing device；The detector identifies real time data, and by comparing device by data with
The early warning rule of warning module compares and analyzes, and when being consistent with early warning rule, control alarm module is issued warning signal.
2. data according to claim 1 acquire fault early warning system, which is characterized in that the alarm module includes message
Display and sound precaution device, the message display issue the information warning of picture and text；The sound precaution device issues pre-
The audio alarm of alert jingle bell.
3. data according to claim 1 acquire fault early warning system, which is characterized in that the memory includes common number
According to message store and COV datagram library；The general data message store generates just for storing running equipment normal operation
Regular data；COV datagram library is for storing the extremely generated abnormal data of running equipment.
4. data according to claim 3 acquire fault early warning system, which is characterized in that the detector is to real time data
It is analyzed, and the data after analysis is separately sent to general data message store or COV datagram library.
5. a kind of control method using any one of Claims 1-4 data acquisition fault early warning system, feature exist
In including at least following steps:
Q1: the data acquisition gateway receives the real time data of each running equipment by transfer bus；
Q2: the fault pre-alarming device is monitored received real time data；
Q3: the detector analyzes real time data, when real time data is the abnormal data that running equipment generates, jumps
To step Q4；When real time data is the normal data that running equipment generates, the general of the memory is sent by normal data
Logical datagram library；
Q4: abnormal data is compared the comparing device with the early warning rule of early warning rule base, when abnormal data meets
When early warning value, issues command signal control alarm module and sound an alarm；Otherwise, abnormal data is sent to the COV number of memory
According to message store.
6. the control method of data acquisition fault early warning system according to claim 5, which is characterized in that before step Q3
It further include the setting procedure to early warning rule, step includes:
S1: when running equipment breaks down, the logger of the warning module is by the fault data recorder of running equipment and life
At parameter list；
S2: fault data parameter list is stored in early warning rule base by the logger；
S3: degree is generated according to the standard operating status and abnormal data of running equipment and is preset, early warning value is set.
7. the control method of data acquisition fault early warning system according to claim 6, which is characterized in that the operation is set
Standby fault data includes: the number in real time such as fault code, data attribute, data upper and lower limits, message content and reception object
According to content.
8. the control method of data acquisition fault early warning system according to claim 7, which is characterized in that further include to institute
The setting procedure of early warning value is stated, which is the advance value setting before reaching the fault data.
9. the control method of data acquisition fault early warning system according to claim 5, which is characterized in that the alarm mould
Block issues information warning by message form and/or makes a sound alarm by early warning jingle bell form.
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Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106201835A (en) * | 2016-07-14 | 2016-12-07 | 浪潮软件股份有限公司 | The method that the implementation method that a kind of early warning manages automatically is put |
| CN106919167B (en) * | 2017-04-21 | 2023-06-02 | 山东中实易通集团有限公司 | Fault early warning system and method suitable for field bus control |
| CN108712283A (en) * | 2018-05-10 | 2018-10-26 | 国网江西省电力有限公司信息通信分公司 | Fault early warning method based on resource associations relationship in information system and device |
| CN109237604A (en) * | 2018-11-02 | 2019-01-18 | 安徽安泽电工有限公司 | It is a kind of based on the energy-accumulating solid of Internet of Things for water-tube boiler early warning system |
| CN109444763A (en) * | 2018-11-12 | 2019-03-08 | 福建工程学院 | A kind of automobile storage battery fault early warning system and method based on OBD and car networking |
| CN111159224A (en) * | 2020-01-03 | 2020-05-15 | 珠海格力电器股份有限公司 | Energy storage system control method and device and park level energy storage system |
| CN111174108A (en) * | 2020-02-14 | 2020-05-19 | 福建中科云杉信息技术有限公司 | Oil stealing prevention system for oil pipeline and control method thereof |
| CN111404774B (en) * | 2020-03-11 | 2021-12-10 | 腾讯云计算（北京）有限责任公司 | Data monitoring method, device, equipment and storage medium |
| CN111682960A (en) * | 2020-05-14 | 2020-09-18 | 深圳市有方科技股份有限公司 | Fault diagnosis method and device for Internet of things network and equipment |
| CN111970155B (en) * | 2020-08-26 | 2023-01-24 | 前海道森自动化科技(深圳)有限公司 | Intelligent early warning system for fault state of crane equipment |
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Denomination of invention: A Data Collection and Fault Warning System Based on the Internet of Things and Its Control Method Granted publication date: 20190607 Pledgee: Bank of China Limited by Share Ltd. Guangzhou Panyu branch Pledgor: Guangzhou dyyun Service Technology Co.,Ltd. Registration number: Y2024980003109 |