CN108363364A - Alarm method based on industrial big data drive - Google Patents
Alarm method based on industrial big data drive Download PDFInfo
- Publication number
- CN108363364A CN108363364A CN201711475786.2A CN201711475786A CN108363364A CN 108363364 A CN108363364 A CN 108363364A CN 201711475786 A CN201711475786 A CN 201711475786A CN 108363364 A CN108363364 A CN 108363364A
- Authority
- CN
- China
- Prior art keywords
- data
- big data
- industrial big
- alarm
- sent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004519 manufacturing process Methods 0.000 claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 238000007726 management method Methods 0.000 claims abstract description 8
- 241000282326 Felis catus Species 0.000 claims description 13
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000009825 accumulation Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 abstract description 5
- 238000010276 construction Methods 0.000 abstract 1
- 238000012913 prioritisation Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 6
- 238000011161 development Methods 0.000 description 3
- 230000018109 developmental process Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000007906 compression Methods 0.000 description 2
- 230000006835 compression Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000002360 preparation method Methods 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013144 data compression Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31439—Alarms can be warning, alert or fault
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to the technical field of industrial big data, and provides an alarm method based on industrial big data drive, which comprises the following steps: s1, selecting the target needing alarming in advance, and completing the full analysis of the industrial big data; s2, uploading the manufacturing process data, the production data and the management data collected in real time to a data platform to complete the construction of the data platform; s3, transmitting the target data source needing alarming to the association rule model through the data platform to complete the establishment of the association rule model; s4, transmitting the data of the data platform to an alarm server; s5, after receiving the data, the alarm server analyzes the data to obtain fault information; and S6, sending the analyzed fault information to the terminal and displaying the fault information on the terminal. According to the invention, through comprehensive analysis of the big data, reference information which is as accurate as possible is provided for the reason of equipment failure, and failure alarm information is sent to equipment maintenance personnel in time, so that the high-efficiency operation of the equipment is ensured.
Description
Technical field
The present invention relates to industrial big data technical field, specially a kind of alarm method based on the driving of industrial big data.
Background technology
With the development of the social economy, the progress of automatic technology, more and more manufacturing industry in order to improve production efficiency,
All equipment fault time and failure frequency of occurrence are reduced to the greatest extent actively seeking various methods.Therefore, many enterprise developments vehicle
Intercaste equipment fault phonetic warning system, once device fails, failure warning system can send out loudspeaker alarm voice, to carry
Show that the local equipment of the personnel for being responsible for repair breaks down.Simultaneously by fault message include on monitoring room computer interface,
To inform maintenance personal's failure scene and its severity, personnel easy to repair rushed towards in the shortest time position of fault into
Row failure disposing task.
With the development of science and technology, manufacturing main feature turns to intelligence and internet, the operation of enterprise are increasingly dependent on
Information technology, the entire value chain of manufacturing industry, the whole life cycle of manufacturing industry product are directed to many data, data volume
Risen suddenly and sharply the severe challenge faced jointly at many industries and valuable opportunity.If manufacturing business can build in industrial environment
Big data platform is erected, the ability that the magnanimity information that distinct device is collected by factory is combed is improved, improves company information system
The computing capability and data digestion power of system, it will enable enterprise while low cost operation, effectively realize raw on demand
Production, to while realizing green production, improve the business efficiency of enterprise.The present invention is namely based under such background and proposes
Come.
Invention content
The purpose of the present invention is to provide a kind of alarm methods based on the driving of industrial big data, can at least solve existing
Segmental defect in technology.
To achieve the above object, the embodiment of the present invention provides the following technical solutions：It is a kind of based on industrial big data driving
Alarm method includes the following steps：
S1, the target alarmed in advance needs are selected, and the abundant analysis to industrial big data is completed；
Real-time collected manufacturing process data, creation data and management data are uploaded to data platform, with complete by S2
At building for data platform；
S3 will need the target data source alarmed to be sent to Association Rules Model, to complete to close by the data platform
Join the foundation of rule model；
S4, by the data transfer of the data platform to Alarm Server；
S5 parses data after the Alarm Server receives data, obtains fault message；
The fault message parsed is sent to terminal, and showed in the terminal by S6.
Further, carrying out selected method to target in the S1 steps is specially：It is accumulated using production scene experience, knowledge
Tired, estimation of the user to target, and all high-frequency data groups are found out from data acquisition system, to complete the selected of target.
Further, the method for building up of Association Rules Model is specifically included in the S3 steps：Industrial big data is collected, is closed
Join intensity, the support of correlation rule, the Confidence of correlation rule, generation frequent item set and the create-rule of rule.
Further, using the algorithm for reducing frequent item set generated time, i.e., one set is frequent item set, then it
All subsets are frequent item set.
Further, the transmission detailed process of data is in the S4 steps：First by data collecting module collected data, and lead to
It crosses network and sensor to be connected with data platform, data platform is connected with Alarm Server again.
Further, in the S5 steps, the failure sending method and failure rank of fault message are determined, and simultaneously by terminal
It is divided into different stage and different zones, to receive corresponding fault message.
Further, in the S6 steps, the mode for sending fault message is specially；
When being sent using short message form, then fault message is sent to GSM MODEM short message cats by Alarm Server, then by
GSM MODEM short message cats are sent to terminal；
When being sent using handset formats, then text information is converted into voice by Alarm Server by voice conversion module
File, and it is sent to wireless digital intermediate station, voice is then sent to terminal by wireless digital intermediate station.
Further, the terminal is intercom or mobile phone；It, need to be by writing in frequency software and wireless digital when using intercom
Turntable frequency matches；When using mobile phone, SIM card need to be equipped with.
Compared with prior art, the beneficial effects of the invention are as follows：
1, it is provided by carrying out comprehensive analysis to big data, the reason of to device fails as far as possible accurately with reference to letter
Breath, and fault alarm information is sent in time to maintenance of equipment personnel, help it quickly to solve equipment fault, it is ensured that equipment high efficiency
Operation.
2, the utilization rate for improving enterprise's industry big data, decision is provided for enterprise's produced on-site condition monitoring, by enterprise
The collection and analysis processing of each item data of industry can be to helping enterprise technology personnel that can judge incipient fault information, with auxiliary
Enterprise's reasonable arrangement is helped to shut down or arrange repair schedule.
3, fault text message can be converted into voice by the voice SMS alarm system of big data driving in first time,
It is sent to staff's interphone terminal, makes staff that can know equipment fault not spending monitoring room, for which save dimensions
Repair Diagnostic Time.
Even if 4, enterprise work personnel remotely can receive fault reference information not if working site by short message, from
And related management personnel and plant maintenance personnel is enable to judge failure cause.
Description of the drawings
Fig. 1 is a kind of step flow chart of alarm method based on the driving of industrial big data provided in an embodiment of the present invention；
Fig. 2 is a kind of flow frame diagram of alarm method based on the driving of industrial big data provided in an embodiment of the present invention；
Fig. 3 is a kind of Association Rules Model of alarm method based on the driving of industrial big data provided in an embodiment of the present invention
Implement block diagram.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
It please refers to Fig.1 and Fig. 3, the embodiment of the present invention provides a kind of alarm method driven based on industrial big data, including
Following steps：S1, the target alarmed in advance needs are selected, and the abundant analysis to industrial big data is completed；S2, will be real-time
Collected manufacturing process data, creation data and management data are uploaded to data platform, to complete building for data platform；
S3 will need the target data source alarmed to be sent to Association Rules Model, to complete correlation rule mould by the data platform
The foundation of type；S4, by the data transfer of the data platform to Alarm Server；S5, the Alarm Server receive data
Afterwards, data are parsed, obtains fault message；The fault message parsed is sent to terminal by S6, and in the terminal exhibition
It is existing.In the present embodiment, the target alarmed in advance needs is needed to select, to complete the abundant analysis to industrial big data,
Manufacturing process data, creation data and management data are then acquired in real time, data platform are built, to coordinate Alarm Server
Data are parsed, data analysis can be carried out in the Association Rules Model of foundation, then by Alarm Server to receiving
To data parsed, obtain fault message, the fault message be finally sent to terminal, inform staff's to reach
Purpose.In data platform, one side video data becomes compressed data, another aspect real process data warp after treatment
It crosses after memory cache to block data compression, the also data of other field is based on, this three passes through data integration, realizes unified number
It is last for statistical analysis according to description and conversion.The present invention to big data by carrying out comprehensive analysis, to device fails
Reason provides reference information as accurate as possible, and sends fault alarm information in time to maintenance of equipment personnel, helps it fast
Speed solves equipment fault, it is ensured that equipment high efficiency is run.
It is specific embodiment below：
As the prioritization scheme of the embodiment of the present invention, referring to Fig. 1, it is specific to carry out selected method to target in S1 steps
For：Estimation using production scene experience, knowledge accumulation, user to target, and all high frequencies are found out from data acquisition system
Data group, to complete the selected of target.It, need to be not influence execution efficiency, avoid waste system resource to be original in selected target
Then, the data of appropriate minimum support and Minimum support4 are chosen as data preparation object.By taking factory's large fan as an example,
Branch's equipment that influence wind turbine integral device is run, such as motor, coupler, the standard value of wind turbine, warning value, actual measurement value parameter
It is set as data acquisition system object, data source is included in by determination after the analysis of historical data.
As the prioritization scheme of the embodiment of the present invention, please refer to Fig.1, in Fig. 2 and Fig. 3, S3 step to correlation rule mould
The method for building up of type specifically includes：Industrial big data collects, the intensity of correlation rule, the support of correlation rule, correlation rule
Confidence, generate frequent item set and create-rule.Association Rules Model is established, need to be in level-one frequency from two level frequent item set
It being generated on the basis of numerous item collection, three-level frequent item set generates on the basis of two level frequent item set, and so on.Using
The algorithm of the frequent item set generated time is reduced, i.e., one set is frequent item set, then its all subsets are frequent episode
Collection.Such as：Assuming that a set { A, B } is frequent item set, i.e., A, B appear in the number of a record more than or equal to minimum simultaneously
Support min_support, then its subset { A }, { B } occurrence number be necessarily greater than equal to min_support, i.e. its subset
All it is frequent item set.Similarly, if a set is not frequent item set, its all supersets are not frequent item sets.Citing：
Assuming that set { A } is not frequent item set, i.e. the number that A occurs is less than min_support, then its any superset such as { A, B } goes out
Existing number is necessarily smaller than min_support, therefore its superset must be nor frequent item set.
As the prioritization scheme of the embodiment of the present invention, referring to Fig. 1, the transmission detailed process of data is in S4 steps：First
It is connected with data platform by data collecting module collected data, and by network and sensor, data platform takes with alarm again
Business device is connected.Then, Alarm Server is connected with wireless digital intermediate station and GSM MODEM short message cats again.Data platform is adopted
With the process industry data block compression method based on variation, the compression to these data and distributed storage are realized, in conjunction with it
All data are carried out uniform data description and conversion by his data source, the device fails that institute's statistical analysis is come out
Reference information carries out classification classification storage, and these reference informations are sent to Alarm Server.
As the prioritization scheme of the embodiment of the present invention, referring to Fig. 1, in S5 steps, determine that the failure of fault message is sent
Mode and failure rank, and terminal is divided into different stage and different zones simultaneously, to receive corresponding fault message.
As the prioritization scheme of the embodiment of the present invention, referring to Fig. 1, in S6 steps, the mode for sending fault message is specific
For；When being sent using short message form, then fault message is sent to GSM MODEM short message cats by Alarm Server, then by GSM
MODEM short message cats are sent to terminal；When being sent using handset formats, then Alarm Server by voice conversion module by word
Information is converted into voice document, and is sent to wireless digital intermediate station, and voice is then sent to end by wireless digital intermediate station
End.In the present embodiment, GSM MODEM short messages cat and wireless digital intermediate station can have more.Wireless digital intermediate station
After receiving alarm voice signal, the alarm voice information is launched by specific channel immediately, makes setting in the frequency
Interphone terminal on road can receive alarm voice information.It is corresponding wide that different zones are set on wireless digital special secondary school platform
Broadcast frequency range.GSM MODEM short message cats support USB wireless communication terminals, and it is short with word to act on the warning message for being will receive
The mode of letter is sent to target mobile phones terminal.
As the prioritization scheme of the embodiment of the present invention, referring to Fig. 1, terminal is intercom or mobile phone；When using intercom,
It need to be matched with wireless digital intermediate station frequency by writing frequency software；When using mobile phone, SIM card need to be equipped with.In the present embodiment, hand
Machine terminal can also have more, they correspond to more above-mentioned GSM MODEM short message cats respectively, short for receiving GSM MODEM
The information that letter cat is transmitted.Interphone terminal can be divided into multiple regions, they correspond to more above-mentioned wireless digital intermediate stations respectively,
And there are multiple interphone terminals in each region.The quantity phase of the quantity and mobile phone terminal of preferred GSM MODEM short message cats
Together, the quantity of wireless digital intermediate station and the quantity in region are identical, the quantity of interphone terminal also with wireless digital intermediate station
Quantity is identical.
As the prioritization scheme of the embodiment of the present invention, as shown in Figure 1, selecting a computer as Alarm Server.It is complete
The management and control of pairs of wireless digital intermediate station, realize wireless digital intermediate station channel selection, the functions such as voice transfer；It completes
Management and control to GSM MODEM；Receive warning message simultaneously to be parsed, be required according to warning message, by text information and
It sends target terminal and is sent to GSM MODEM short message cats in a manner of character message, or text information is soft using voice conversion
Part is converted into voice, is sent to wireless digital intermediate station.The phone number of enterprise personnel is added on Alarm Server as text
Word short message sending target terminal, and number is pressed into rank and territorial classification.
As the prioritization scheme of the embodiment of the present invention, the terminal is intercom or mobile phone；When using intercom, it need to pass through
Frequency software is write to match with wireless digital intermediate station frequency；When using mobile phone, SIM card need to be equipped with.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of variations, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (8)
1. a kind of alarm method based on the driving of industrial big data, which is characterized in that include the following steps：
S1, the target alarmed in advance needs are selected, and the abundant analysis to industrial big data is completed；
Real-time collected manufacturing process data, creation data and management data are uploaded to data platform, to complete number by S2
According to building for platform；
S3 will need the target data source alarmed to be sent to Association Rules Model by the data platform, to complete association rule
The then foundation of model；
S4, by the data transfer of the data platform to Alarm Server；
S5 parses data after the Alarm Server receives data, obtains fault message；
The fault message parsed is sent to terminal, and showed in the terminal by S6.
2. a kind of alarm method based on the driving of industrial big data as described in claim 1, which is characterized in that the S1 steps
In selected method carried out to target be specially：Estimation using production scene experience, knowledge accumulation, user to target, and
All high-frequency data groups are found out from data acquisition system, to complete the selected of target.
3. a kind of alarm method based on the driving of industrial big data as described in claim 1, which is characterized in that the S3 steps
In the method for building up of Association Rules Model is specifically included：Industrial big data collects, the intensity of correlation rule, the branch of correlation rule
Degree of holding, the Confidence of correlation rule, generation frequent item set and create-rule.
4. a kind of alarm method based on the driving of industrial big data as claimed in claim 3, it is characterised in that：Using reduction institute
The algorithm of frequent item set generated time is stated, i.e., one set is frequent item set, then its all subsets are frequent item set.
5. a kind of alarm method based on the driving of industrial big data as described in claim 1, which is characterized in that the S4 steps
The transmission detailed process of middle data is：First by data collecting module collected data, and by network and sensor come flat with data
Platform is connected, and data platform is connected with Alarm Server again.
6. a kind of alarm method based on the driving of industrial big data as described in claim 1, which is characterized in that the S5 steps
In, determine the failure sending method and failure rank of fault message, and terminal is divided into different stage and different zones simultaneously, with
Receive corresponding fault message.
7. a kind of alarm method based on the driving of industrial big data as described in claim 1, which is characterized in that the S6 steps
In, the mode for sending fault message is specially：
When being sent using short message form, then fault message is sent to GSM MODEM short message cats by Alarm Server, then by GSM
MODEM short message cats are sent to terminal；
When being sent using handset formats, then text information is converted into voice text by Alarm Server by voice conversion module
Part, and it is sent to wireless digital intermediate station, voice is then sent to terminal by wireless digital intermediate station.
8. a kind of alarm method based on the driving of industrial big data as described in claim 1, it is characterised in that：The terminal is
Intercom or mobile phone；When using intercom, it need to be matched with wireless digital intermediate station frequency by writing frequency software；When using mobile phone,
SIM card need to be equipped with.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711475786.2A CN108363364A (en) | 2017-12-29 | 2017-12-29 | Alarm method based on industrial big data drive |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711475786.2A CN108363364A (en) | 2017-12-29 | 2017-12-29 | Alarm method based on industrial big data drive |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108363364A true CN108363364A (en) | 2018-08-03 |
Family
ID=63010464
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711475786.2A Pending CN108363364A (en) | 2017-12-29 | 2017-12-29 | Alarm method based on industrial big data drive |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108363364A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109979170A (en) * | 2019-03-28 | 2019-07-05 | 山东中烟工业有限责任公司 | Wisdom cigarette power-equipment alarm system and method |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101937447A (en) * | 2010-06-07 | 2011-01-05 | 华为技术有限公司 | Alarm association rule mining method, and rule mining engine and system |
| CN102809965A (en) * | 2012-07-30 | 2012-12-05 | 燕山大学 | Fault early warning method for hydraulic equipment based on fault frequent pattern |
| CN103414581A (en) * | 2013-07-24 | 2013-11-27 | 佳都新太科技股份有限公司 | Equipment fault alarm, prediction and processing mechanism based on data mining |
| CN104460651A (en) * | 2014-10-24 | 2015-03-25 | 北京交控科技有限公司 | ZC double-system downtime fault early-warning method and device based on autonomous learning |
| CN105809906A (en) * | 2014-12-30 | 2016-07-27 | 上海天跃科技股份有限公司 | Alarm processing backtracking system in security monitoring system |
| CN105958638A (en) * | 2016-06-08 | 2016-09-21 | 上海南华兰陵电气有限公司 | Distributed renewable energy intelligent station power supply system |
| CN106199494A (en) * | 2016-07-25 | 2016-12-07 | 国网上海市电力公司 | A kind of intelligent diagnosis system based on metering device fault |
| CN106874491A (en) * | 2017-02-22 | 2017-06-20 | 北京科技大学 | A kind of device fault information method for digging based on dynamic association rules |
| CN107395773A (en) * | 2017-09-08 | 2017-11-24 | 深圳市智物联网络有限公司 | A kind of Internet of Things management method and Internet of Things management platform |
-
2017
- 2017-12-29 CN CN201711475786.2A patent/CN108363364A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101937447A (en) * | 2010-06-07 | 2011-01-05 | 华为技术有限公司 | Alarm association rule mining method, and rule mining engine and system |
| CN102809965A (en) * | 2012-07-30 | 2012-12-05 | 燕山大学 | Fault early warning method for hydraulic equipment based on fault frequent pattern |
| CN103414581A (en) * | 2013-07-24 | 2013-11-27 | 佳都新太科技股份有限公司 | Equipment fault alarm, prediction and processing mechanism based on data mining |
| CN104460651A (en) * | 2014-10-24 | 2015-03-25 | 北京交控科技有限公司 | ZC double-system downtime fault early-warning method and device based on autonomous learning |
| CN105809906A (en) * | 2014-12-30 | 2016-07-27 | 上海天跃科技股份有限公司 | Alarm processing backtracking system in security monitoring system |
| CN105958638A (en) * | 2016-06-08 | 2016-09-21 | 上海南华兰陵电气有限公司 | Distributed renewable energy intelligent station power supply system |
| CN106199494A (en) * | 2016-07-25 | 2016-12-07 | 国网上海市电力公司 | A kind of intelligent diagnosis system based on metering device fault |
| CN106874491A (en) * | 2017-02-22 | 2017-06-20 | 北京科技大学 | A kind of device fault information method for digging based on dynamic association rules |
| CN107395773A (en) * | 2017-09-08 | 2017-11-24 | 深圳市智物联网络有限公司 | A kind of Internet of Things management method and Internet of Things management platform |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109979170A (en) * | 2019-03-28 | 2019-07-05 | 山东中烟工业有限责任公司 | Wisdom cigarette power-equipment alarm system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6461246B2 (en) | Safety inspection method and equipment based on Industrial Internet Operation System | |
| CN109190915B (en) | Carbon emission management system based on urban planning | |
| CN103856339A (en) | Method and device for compressing alarm information | |
| CN102736601B (en) | Device data acquisition, treating apparatus and method and apparatus system for managing state | |
| CN103632245A (en) | Cloud service-based intelligent production system and implementation method | |
| CN106650841A (en) | Intelligent production process management system | |
| CN110688906A (en) | Intelligent detection method for wind power equipment and related product | |
| CN114138861A (en) | Multi-source heterogeneous data processing method, device and system | |
| CN117033498A (en) | Integrated converged communication command method and system | |
| CN108363364A (en) | Alarm method based on industrial big data drive | |
| CN103916870B (en) | Four net coordination with the synthesis analysis systems and method | |
| CN113487087A (en) | Method and device for predicting service life of equipment, computer equipment and computer-readable storage medium | |
| CN103197618A (en) | Method and system of monitoring wind-driven generator | |
| CN205375163U (en) | Industrial production remote monitering system | |
| CN116029701B (en) | Data center energy consumption assessment method, system and device and electronic equipment | |
| CN203759850U (en) | Machinery equipment monitoring system | |
| CN104852983A (en) | Monitoring and early warning system based on water environment sensor network and method thereof | |
| CN116028015A (en) | Group manufacturing enterprise mobile portal system and construction method | |
| CN203299854U (en) | Linkage acquisition device of operation optimization data | |
| CN201040791Y (en) | Textile industry loom intelligentized automatic broadcast system | |
| CN202523180U (en) | Mountain torrent disaster master-slave station pre-warning system | |
| CN203299891U (en) | Optimization data acquisition device of police command system | |
| CN114157690B (en) | Internet of things management control system and method | |
| CN212724314U (en) | NB-IoT data acquisition terminal based on narrowband Internet of things | |
| CN116542811A (en) | Intelligent plant energy management system and management method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20190311 Address after: 430060 No. 16 Guanshan Road, Donghu High-tech Zone, Hongshan District, Wuhan City, Hubei Province Applicant after: Wuhan Steel Engineering Technology Group Communication Co., Ltd. Address before: 430000 East Lake New Technology Development Zone, Wuhan City, Hubei Province, north of the Central Line and west of Guanshan Avenue Applicant before: Wuhan Wugang Information System Co., Ltd. |
|
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: 430080 floor 15-22, building 4, Wuhan International Steel Logistics Service Center (Ganggu), Qingshan Town, Qingshan District, Wuhan City, Hubei Province Applicant after: Baoxin software (Wuhan) Co., Ltd Address before: 430060 Guan Shan Road, East Lake Hi-tech Zone, Hongshan District, Wuhan, Hubei Province, No. 16 Applicant before: Wuhan Steel Engineering Technology Group Communication Co., Ltd. |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180803 |