CN109949436A - Industrial intelligent Optimization of Energy Saving system based on the analysis of emphasis energy consumption equipment Model Diagnosis - Google Patents
Industrial intelligent Optimization of Energy Saving system based on the analysis of emphasis energy consumption equipment Model Diagnosis Download PDFInfo
- Publication number
- CN109949436A CN109949436A CN201910168130.9A CN201910168130A CN109949436A CN 109949436 A CN109949436 A CN 109949436A CN 201910168130 A CN201910168130 A CN 201910168130A CN 109949436 A CN109949436 A CN 109949436A
- Authority
- CN
- China
- Prior art keywords
- analysis
- fault
- energy consumption
- consumption equipment
- diagnosis
- 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
Landscapes
- Testing And Monitoring For Control Systems (AREA)
Abstract
The entitled industrial intelligent Optimization of Energy Saving system based on the analysis of emphasis energy consumption equipment Model Diagnosis of the invention.Belong to energy management and field of energy-saving technology.It mainly solves existing system and is not able to satisfy the requirement for identifying real-time to equipment fault, lack man-machine communication, system cannot let the user know that the specific component that failure occurs and reason and the method for exclusion, equipment operating data analysis and the mutually isolated problem of maintenance of equipment inspection system when failure occurs.It is mainly characterized by comprising: using information management as core, under the support of the application systems such as status monitoring, equipment routing inspection, intelligent diagnostics reasoning, intelligent maintenance decision support, carry out device diagnostic maintenance work, including fault information collection subsystem, fault information analysis subsystem, fault message output subsystem according to equipment running status collaboration；A kind of analyzing and diagnosing model for collecting operation information acquisition, fault pre-alarming and fault diagnosis and equipment management is provided, intelligent production management platform is made.
Description
Technical field
The invention belongs to energy managements and field of energy-saving technology, and in particular to a kind of industrial intelligent Optimization of Energy Saving system.
Background technique
Currently, energy shortage and problem of environmental pollution have become global problem, and it is close that emphasis energy consumption enterprise belongs to equipment
Collection type industry, production process is normal for equipment and the dependency degree of economical operation is larger, and equipment operation condition drastically influences enterprise
Industry benefits of production and management.Current equipment Managing Model all haves the defects that simple technical management, causes equipment blindness, long week
The problems such as expire (super) load running, and equipment fault maintenance time is long, Knowledge of Maintenance experience is unable to fully utilization, releases in the market
Intelligent optimization energy conserving system, be able to solve the subproblem of above equipment management；However, the energy consumption equipment of existing energy conserving system
There are still some shortcomings for management module, are not able to satisfy the needs of fining, intelligent operation, specific manifestation are as follows:
Firstly, existing system is not able to satisfy the requirement to equipment fault identification real-time；Secondly, equipment unit lacks people at present
Machine exchange, most systems can only take self-shield to shut down in failure occurrence time group, and cannot let the user know that failure
Specific component and reason and the method for exclusion；Third, in existing energy conserving system, equipment operating data analysis is tieed up with equipment
It is mutually isolated to repair inspection system, can not fully ensure that service life of equipment under conditions of equipment, which is run, to be allowed, or as far as possible
Extend equipment length of service.
Summary of the invention
The present invention proposes in view of the above-mentioned problems of the prior art, for building emphasis energy consumption equipment operating analysis system
A kind of collection operation information acquisition, fault pre-alarming and fault diagnosis and equipment management emphasis energy consumption equipment model, provide one
The industrial intelligent Optimization of Energy Saving system that kind is diagnosed based on the emphasis energy consumption equipment model analysis.
The technical solution of the invention is as follows: a kind of industrial intelligent optimization based on the analysis of emphasis energy consumption equipment Model Diagnosis
Energy conserving system, it is characterised in that: the system is pushed away using information management as core in status monitoring, equipment routing inspection, intelligent diagnostics
Under the supports of application systems such as reason, intelligent maintenance decision support, carry out device diagnostic maintenance workers according to equipment running status collaboration
Make, including fault information collection subsystem, fault information analysis subsystem, fault message output subsystem.
Fault information collection subsystem described in technical solution of the invention is to collect, arrange various information, together
When carry out information read, the keeping of record content and the increase work of new content, including facility information automatic collection and equipment
Offline inspection, the state parameter used by the operating parameter and inspection device of automatic acquisition equipment；It is corresponding to parameter to set
It is standby to carry out sub-unit, subsystem, subregional acquisition, and concentrate the collected data of acquisition institute；These data are used different
The normal and abnormal two kinds of situations of color identifier；To the data that acquisition module obtains, it is deposited into database according to certain rules.
Fault information analysis subsystem described in technical solution of the invention be using appropriate analysis method with
Technology is analysed in depth the content that fault information collection subsystem is collected, and is handled according to certain rules data, including
Analysis on Fault Diagnosis, auxiliary three submodules of reasoning and expert consultation based on data mining technology.
Analysis on Fault Diagnosis described in technical solution of the invention includes accident analysis and fault diagnosis, described
Accident analysis is the data obtained to acquisition, is arranged, and becomes the rule for meeting data mining and user requires；Input
After phenomenon of the failure, the key factor of equipment fault is surrounded by means of data mining analysis function, is taken out from fault data resources bank
Sensitive information relevant to equipment fault diagnosis is taken, is examined using association analysis, classification analysis, comparative analysis, forecast analysis, deviation
It the data mining technologies such as surveys and sufficiently excavates in information hiding value, inquire that whether there is or not this phenomena of the failure in the database, if having
This record, then enter fault real-time diagnosis process；Assuming that it has not, then providing query result；After the completion of all tests, no matter
Whether determine trouble location, then provides corresponding diagnosis report.
Fault message output subsystem described in technical solution of the invention be by it is various it is appropriate in a manner of provide
Processed data according to certain rules in time by the data transmission of processing into user hand, and provide close friend's for user
Service, including fault pre-alarming module and device management module.
Fault pre-alarming module described in technical solution of the invention mainly includes index analysis, data analysis and shape
State analyzes three parts, by receiving, recording related data, completes to parameters such as equipment index, measurement data and working conditions
Analysis assessment；It is compared with the identical equipment of historical data and other different geographicals, and using data mining technology to product
Tired data are handled, and fault pre-alarming testing result is provided.
The essential characteristic of fault pre-alarming module described in technical solution of the invention includes rapidity, can be quickly
Corresponding dependent failure position；Real-time, can the data to real-time update carry out analysis play real-time early warning；Accuracy, failure
Early warning is accomplished accurately, to play targetedly early warning.
Device management module described in technical solution of the invention mainly includes maintenance management, fault management and shape
State manages three functional modules, and function is weighing device ability, analyzes and counts to equipment fault, carries out to equipment state
Management will usually equipment management unite with operation task management.
Maintenance of equipment described in technical solution of the invention mainly on the basis of condition managing and device analysis,
Aiming at the problem that occurring or potential problems, reclamation activities is taken in time, prophylactic function is degenerated.
The present invention is building emphasis energy consumption equipment operating analysis system, provide a kind of collection operation information acquire, failure it is pre-
The analyzing and diagnosing model of alert and fault diagnosis and equipment management solves existing generally existing simple technical management, ignores equipment
Technical indicator is in the optimization collocation of production process system and the oepration at full load of equipment long period, equipment fault maintenance time is long and
Service experience is unable to fully the problem of utilizing, and makes intelligent production management platform.
Detailed description of the invention
Fig. 1 is the structural block diagram of energy consumption equipment diagnostic analysis model of the invention.
Fig. 2 is the function framework figure of energy consumption equipment diagnostic analysis model of the invention.
Fig. 3 is information excavating analytical procedure schematic diagram of the invention.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings.
As shown in Figure 1.A kind of industrial intelligent Optimization of Energy Saving system based on the analysis of emphasis energy consumption equipment Model Diagnosis of the present invention
System is to apply using information management as core in status monitoring, equipment routing inspection, intelligent diagnostics reasoning, intelligent maintenance decision support etc.
Under the support of system, is cooperateed with according to equipment running status and carry out device diagnostic maintenance work, including fault information collection subsystem,
Fault information analysis subsystem, fault message output subsystem.
As shown in Figure 2.Fault information collection subsystem is to collect, arrange various information, while carrying out information and reading, record
The keeping of content and the increase work of new content, including facility information automatic collection and equipment off-line inspection, by adopting automatically
The state parameter that the operating parameter and inspection device for collecting equipment use；To the corresponding equipment of parameter carry out sub-unit, subsystem,
Subregional acquisition, and concentrate the collected data of acquisition institute；These data are identified into normal and abnormal two using different colours
Kind situation；To the data that acquisition module obtains, it is deposited into database according to certain rules.
Fault information analysis subsystem is to analyse in depth fault information collection subsystem using appropriate analysis method and technology
The content that system is collected, and data are handled according to certain rules, including the fault diagnosis based on data mining technology point
Analysis, auxiliary three submodules of reasoning and expert consultation.
Analysis on Fault Diagnosis includes that accident analysis and fault diagnosis are answered by establishing particular device diagnostic analysis model
It is the important content for completing fault diagnosis with the accident analysis that data mining carries out.By carrying out classification analysis to acquisition data,
Classified to phenomenon of the failure, comparative analysis, association analysis etc., establishes equipment fault analysis diagnostic model.Accident analysis is logical
The data that model obtains acquisition are crossed, are arranged, the rule for meeting data mining is become and user requires；Input fault
After phenomenon, by means of data mining analysis function surround equipment fault key factor, from fault data resources bank extract with
The relevant sensitive information of equipment fault diagnosis, utilizes association analysis, classification analysis, comparative analysis, forecast analysis, separate-blas estimation etc.
Data mining technology sufficiently excavates the value hidden in information, and the visualization technique of data mining can make equipment fault diagnosis knot
Fruit is presented to policymaker in intuitive, clear form, enable equipment user more preferably, quickly understand analysis as a result, to
The safe operation of holding equipment.It inquires that whether there is or not this phenomena of the failure in the database, if there is this record, then enters failure and examine in real time
Disconnected process；Assuming that it has not, then providing query result.Using expert consultation system, effective solution exceptional fault can also be right
Failure is manually parsed, and auxiliary guarantees the accuracy of fault diagnosis.After the completion of all tests, regardless of whether determining failure
Position then provides corresponding diagnosis report.
Fault message output subsystem be by it is various it is appropriate in a manner of processed data according to certain rules are provided, and
When by the data transmission of processing into user hand, and friendly service, including fault pre-alarming module and equipment pipe are provided for user
Manage module.
Fault pre-alarming module mainly includes index analysis, data analysis and three parts of state analysis, by receiving, recording
Related data is completed the analysis to parameters such as equipment index, measurement data and working conditions and is assessed；With historical data and other not
It is compared with the identical equipment of region, and is handled using data of the data mining technology to accumulation, provide fault pre-alarming
Testing result.The essential characteristic of the module is: rapidity, can quickly correspond to dependent failure position；Real-time, can be in real time more
New data carry out analysis and play real-time early warning；Accuracy, fault pre-alarming are accomplished accurately, to play targetedly early warning.
Device management module mainly includes three maintenance management, fault management and condition managing functional modules, and function is
Weighing device ability, analyzes and counts equipment fault, is managed to equipment state, will usually equipment management and operation appoint
Business management is united.Wherein, maintenance of equipment mainly on the basis of condition managing and device analysis, occur aiming at the problem that or
Potential problems, take reclamation activities in time, and prophylactic function is degenerated.
The above is merely preferred embodiments of the present invention, be not intended to restrict the invention, it is all in spirit of the invention and
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within principle.
Claims (9)
1. a kind of industrial intelligent Optimization of Energy Saving system based on the analysis of emphasis energy consumption equipment Model Diagnosis, it is characterised in that: including
Fault information collection subsystem, fault information analysis subsystem, fault message output subsystem；The information collection subsystem packet
Include acquisition module, the use state ginseng of the operating parameter of automatic collection emphasis energy consumption equipment and offline inspection emphasis energy consumption equipment
Number；The information analysis subsystem includes Analysis on Fault Diagnosis submodule, auxiliary reasoning submodule and expert consultation submodule, is led to
It crosses and fault diagnosis is carried out to the operating parameter and use state parameter of acquisition, and provide corresponding diagnosis report；The information is defeated
Subsystem completely includes that fault pre-alarming module and device management module according to diagnosis report and historical data provide fault pre-alarming out
Testing result, and emphasis energy consumption equipment state is managed.
2. the industrial intelligent Optimization of Energy Saving system according to claim 1 based on the analysis of emphasis energy consumption equipment Model Diagnosis,
It is characterized by: the information output subsystem provides fault pre-alarming testing result by fault pre-alarming module, pass through equipment
Management module is managed emphasis energy consumption equipment state.
3. the industrial intelligent Optimization of Energy Saving system according to claim 1 or 2 based on the analysis of emphasis energy consumption equipment Model Diagnosis
System, it is characterised in that: the fault information analysis subsystem (information excavating analyzing subsystem) is single to emphasis energy consumption equipment point
Member, subsystem, subregion carry out the acquisition of operating parameter or use state parameter, and concentrate the collected data of acquisition institute, deposit
Enter into database.
4. the industrial intelligent Optimization of Energy Saving system according to claim 1 or 2 based on the analysis of emphasis energy consumption equipment Model Diagnosis
System, it is characterised in that: the Analysis on Fault Diagnosis submodule analyzes acquisition data, carries out to the phenomenon of the failure of input
Classification, comparative analysis and association analysis enter event into failure diagnostic process if the phenomenon of the failure for having the input in database
Hinder real-time diagnosis process, if in database without the phenomenon of the failure of the input if provide query result；Assist reasoning submodule to event
Barrier is manually parsed；Expert consultation submodule.
5. the industrial intelligent Optimization of Energy Saving system according to claim 4 based on the analysis of emphasis energy consumption equipment Model Diagnosis,
It is characterized by: it is the data obtained to acquisition that the Analysis on Fault Diagnosis submodule, which carries out analysis to acquisition data, carry out
It arranges, the rule and user for complying with data mining require；After input fault phenomenon, enclosed by means of data mining analysis function
Around the key factor of emphasis energy consumption equipment failure, sensitive information relevant to equipment fault diagnosis is extracted from database, is utilized
Association analysis, classification analysis, comparative analysis, forecast analysis and separate-blas estimation data mining technology are sufficiently excavated in information and are hidden
Value, inquire that whether there is or not this phenomena of the failure in the database；After the completion of all tests, regardless of whether determine trouble location,
Then provide corresponding diagnosis report.
6. the industrial intelligent Optimization of Energy Saving system according to claim 1 or 2 based on the analysis of emphasis energy consumption equipment Model Diagnosis
System, it is characterised in that: the fault pre-alarming module includes index analysis, data analysis and three parts of state analysis, is passed through
It receives, record related data, completes the analysis to emphasis energy consumption equipment index, measurement data and working condition and assess；With history
The identical emphasis energy consumption equipment of data and other different geographicals is compared, and using data mining technology to the data of accumulation into
Row processing, provides fault pre-alarming testing result.
7. the industrial intelligent Optimization of Energy Saving system according to claim 1 or 2 based on the analysis of emphasis energy consumption equipment Model Diagnosis
System, it is characterised in that: the device management module includes three maintenance management, fault management and condition managing functional modules,
Emphasis energy consumption equipment failure is analyzed and counted, emphasis energy consumption equipment state is managed, equipment management and operation are appointed
Business management is united.
8. the industrial intelligent Optimization of Energy Saving system according to claim 7 based on the analysis of emphasis energy consumption equipment Model Diagnosis,
It is characterized by: the maintenance management functional module is on the basis of condition managing and device analysis, aiming at the problem that occurring
Or potential problems, reclamation activities is taken in time, and prophylactic function is degenerated.
9. the industrial intelligent Optimization of Energy Saving system according to claim 8 based on the analysis of emphasis energy consumption equipment Model Diagnosis,
It is characterized by: the fault message output subsystem provides processed data according to certain rules, it in time will processing
Data transmission into user hand.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910168130.9A CN109949436A (en) | 2019-03-06 | 2019-03-06 | Industrial intelligent Optimization of Energy Saving system based on the analysis of emphasis energy consumption equipment Model Diagnosis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910168130.9A CN109949436A (en) | 2019-03-06 | 2019-03-06 | Industrial intelligent Optimization of Energy Saving system based on the analysis of emphasis energy consumption equipment Model Diagnosis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109949436A true CN109949436A (en) | 2019-06-28 |
Family
ID=67009160
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910168130.9A Pending CN109949436A (en) | 2019-03-06 | 2019-03-06 | Industrial intelligent Optimization of Energy Saving system based on the analysis of emphasis energy consumption equipment Model Diagnosis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109949436A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110309981A (en) * | 2019-07-09 | 2019-10-08 | 华能四川水电有限公司 | A kind of power station Decision-making of Condition-based Maintenance system based on industrial big data |
| CN110765633A (en) * | 2019-10-31 | 2020-02-07 | 中船动力研究院有限公司 | Intelligent management method and device for power device |
| CN111553664A (en) * | 2020-05-11 | 2020-08-18 | 重庆金美通信有限责任公司 | Method for realizing intelligent management of design and production of communication equipment based on 5G technology |
| CN111766514A (en) * | 2020-06-19 | 2020-10-13 | 南方电网调峰调频发电有限公司 | Data analysis method for equipment detection points |
| CN111781498A (en) * | 2020-06-19 | 2020-10-16 | 南方电网调峰调频发电有限公司 | Data analysis system of equipment detection point |
| CN112421454A (en) * | 2020-09-23 | 2021-02-26 | 国家电网有限公司 | Substation equipment diagnosis and maintenance platform based on Internet of things |
| CN112783127A (en) * | 2020-12-31 | 2021-05-11 | 北京四方继保自动化股份有限公司 | Enterprise energy station-oriented comprehensive energy real-time optimization operation and maintenance management system and method |
| CN113091817A (en) * | 2021-04-06 | 2021-07-09 | 重庆大学 | Triethylene glycol dewatering device state monitoring and fault diagnosis system |
| CN113762901A (en) * | 2020-06-02 | 2021-12-07 | 山东征途信息科技股份有限公司 | Industrial park energy consumption management system based on big data |
| CN113947216A (en) * | 2020-06-30 | 2022-01-18 | 宝山钢铁股份有限公司 | Intelligent diagnosis, maintenance and management system for equipment |
| CN117665495A (en) * | 2024-02-01 | 2024-03-08 | 山西省财政税务专科学校 | Industrial power supply and distribution fault diagnosis system based on intelligent computer |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010014339A2 (en) * | 2008-07-31 | 2010-02-04 | Gm Global Technology Operations, Inc. | Online health monitoring via multi-dimensional temporal data mining |
| CN101893875A (en) * | 2009-05-18 | 2010-11-24 | 中国石化集团南京化学工业有限公司 | State-based machine integrated comprehensive management system |
| CN104571099A (en) * | 2015-01-26 | 2015-04-29 | 北京国能日新系统控制技术有限公司 | Photovoltaic fault diagnosis system and method based on theoretical calculation and data analysis |
| CN108008332A (en) * | 2017-11-29 | 2018-05-08 | 国网山东省电力公司电力科学研究院 | A kind of new energy Remote testing device method for diagnosing faults based on data mining |
-
2019
- 2019-03-06 CN CN201910168130.9A patent/CN109949436A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010014339A2 (en) * | 2008-07-31 | 2010-02-04 | Gm Global Technology Operations, Inc. | Online health monitoring via multi-dimensional temporal data mining |
| CN101893875A (en) * | 2009-05-18 | 2010-11-24 | 中国石化集团南京化学工业有限公司 | State-based machine integrated comprehensive management system |
| CN104571099A (en) * | 2015-01-26 | 2015-04-29 | 北京国能日新系统控制技术有限公司 | Photovoltaic fault diagnosis system and method based on theoretical calculation and data analysis |
| CN108008332A (en) * | 2017-11-29 | 2018-05-08 | 国网山东省电力公司电力科学研究院 | A kind of new energy Remote testing device method for diagnosing faults based on data mining |
Non-Patent Citations (4)
| Title |
|---|
| 唐晓青: "《制造企业质量信息管理系统实施技术》", 30 November 2009 * |
| 沈标正: "《电机故障诊断技术》", 31 May 1996 * |
| 舰船科学技术: "舰船科学技术", 《舰船科学技术》 * |
| 陈新元: "《中国优秀硕士学位论文全文数据库 信息科技辑》", 15 March 2013 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110309981A (en) * | 2019-07-09 | 2019-10-08 | 华能四川水电有限公司 | A kind of power station Decision-making of Condition-based Maintenance system based on industrial big data |
| CN110765633A (en) * | 2019-10-31 | 2020-02-07 | 中船动力研究院有限公司 | Intelligent management method and device for power device |
| CN111553664A (en) * | 2020-05-11 | 2020-08-18 | 重庆金美通信有限责任公司 | Method for realizing intelligent management of design and production of communication equipment based on 5G technology |
| CN111553664B (en) * | 2020-05-11 | 2022-10-14 | 重庆金美通信有限责任公司 | System for realizing intelligent management of communication equipment design and production based on 5G technology |
| CN113762901A (en) * | 2020-06-02 | 2021-12-07 | 山东征途信息科技股份有限公司 | Industrial park energy consumption management system based on big data |
| CN111766514A (en) * | 2020-06-19 | 2020-10-13 | 南方电网调峰调频发电有限公司 | Data analysis method for equipment detection points |
| CN111781498A (en) * | 2020-06-19 | 2020-10-16 | 南方电网调峰调频发电有限公司 | Data analysis system of equipment detection point |
| CN113947216A (en) * | 2020-06-30 | 2022-01-18 | 宝山钢铁股份有限公司 | Intelligent diagnosis, maintenance and management system for equipment |
| CN112421454A (en) * | 2020-09-23 | 2021-02-26 | 国家电网有限公司 | Substation equipment diagnosis and maintenance platform based on Internet of things |
| CN112421454B (en) * | 2020-09-23 | 2022-11-08 | 国家电网有限公司 | Substation equipment diagnosis and maintenance platform based on Internet of things |
| CN112783127A (en) * | 2020-12-31 | 2021-05-11 | 北京四方继保自动化股份有限公司 | Enterprise energy station-oriented comprehensive energy real-time optimization operation and maintenance management system and method |
| CN113091817A (en) * | 2021-04-06 | 2021-07-09 | 重庆大学 | Triethylene glycol dewatering device state monitoring and fault diagnosis system |
| CN117665495A (en) * | 2024-02-01 | 2024-03-08 | 山西省财政税务专科学校 | Industrial power supply and distribution fault diagnosis system based on intelligent computer |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109949436A (en) | Industrial intelligent Optimization of Energy Saving system based on the analysis of emphasis energy consumption equipment Model Diagnosis | |
| CN105337765A (en) | Distributed hadoop cluster fault automatic diagnosis and restoration system | |
| CN108398934B (en) | equipment fault monitoring system for rail transit | |
| CN109490713A (en) | A kind of method and system moving inspection and interactive diagnosis for cable run | |
| CN103049365B (en) | Information and application resource running state monitoring and evaluation method | |
| CN107798395A (en) | A kind of power grid accident signal automatic diagnosis method and system | |
| CN101726568A (en) | Early-warning prediction method for water environment safety | |
| CN105967063B (en) | Maintenance platform fault analysis process system and method | |
| CN103023028A (en) | Rapid grid failure positioning method based on dependency graph of entities | |
| CN115393142A (en) | Intelligent park management method and management platform | |
| CN105022373A (en) | Port equipment maintenance system based on zigbee technology | |
| CN102830694A (en) | Automatic fault inspection system and client monitoring terminal | |
| CN104794771B (en) | One kind patrols inspection automatic planning and a device | |
| CN111159487A (en) | Predictive maintenance intelligent system for automobile engine spindle | |
| CN116992346A (en) | Enterprise production data processing system based on artificial intelligence big data analysis | |
| CN112215370A (en) | Electronic inspection system and mobile terminal | |
| CN115639801A (en) | Fault diagnosis and analysis decision platform based on multiple intelligent agents | |
| CN115796569A (en) | Safety risk grading monitoring platform for building construction enterprises | |
| CN202854576U (en) | Automobile production line data management system | |
| CN106682742A (en) | Real-time data acquisition and analysis method based on Internet of Things | |
| CN212990152U (en) | Agricultural sewage management system | |
| CN212647305U (en) | On-line monitoring system for whole process of producing, treating and discharging sewage | |
| CN117579143A (en) | Diagnosis method for large power grid and backbone optical communication fault equipment | |
| CN113537681A (en) | Method and system for refining enterprise equipment management informatization | |
| CN115641111A (en) | Big data drive-based power transmission line fault early warning system |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190628 |