CN109051104A - A kind of bottle placer operating status intelligent Detection and method - Google Patents
A kind of bottle placer operating status intelligent Detection and method Download PDFInfo
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- CN109051104A CN109051104A CN201810697039.1A CN201810697039A CN109051104A CN 109051104 A CN109051104 A CN 109051104A CN 201810697039 A CN201810697039 A CN 201810697039A CN 109051104 A CN109051104 A CN 109051104A
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- 238000001514 detection method Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 8
- 238000012545 processing Methods 0.000 claims abstract description 33
- 238000007405 data analysis Methods 0.000 claims abstract description 18
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 238000004519 manufacturing process Methods 0.000 claims description 12
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 claims description 5
- 230000001953 sensory effect Effects 0.000 claims description 4
- 239000000835 fiber Substances 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 2
- 230000001360 synchronised effect Effects 0.000 claims description 2
- 230000002159 abnormal effect Effects 0.000 abstract description 7
- 239000000047 product Substances 0.000 description 21
- 238000007689 inspection Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000012535 impurity Substances 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000036651 mood Effects 0.000 description 2
- 230000007115 recruitment Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 208000033748 Device issues Diseases 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- 238000005259 measurement Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000035479 physiological effects, processes and functions Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000009781 safety test method Methods 0.000 description 1
- 210000000697 sensory organ Anatomy 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65B—MACHINES, APPARATUS OR DEVICES FOR, OR METHODS OF, PACKAGING ARTICLES OR MATERIALS; UNPACKING
- B65B57/00—Automatic control, checking, warning, or safety devices
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B67—OPENING, CLOSING OR CLEANING BOTTLES, JARS OR SIMILAR CONTAINERS; LIQUID HANDLING
- B67C—CLEANING, FILLING WITH LIQUIDS OR SEMILIQUIDS, OR EMPTYING, OF BOTTLES, JARS, CANS, CASKS, BARRELS, OR SIMILAR CONTAINERS, NOT OTHERWISE PROVIDED FOR; FUNNELS
- B67C3/00—Bottling liquids or semiliquids; Filling jars or cans with liquids or semiliquids using bottling or like apparatus; Filling casks or barrels with liquids or semiliquids
- B67C3/007—Applications of control, warning or safety devices in filling machinery
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Testing And Monitoring For Control Systems (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses a kind of bottle placer operating status intelligent Detection and method, which includes data acquisition unit, data processing unit, data analysis unit and control processing unit.Data acquisition unit acquires the parameter of filling machine equipment operation by sensor and industrial camera, forms initial data and is sent to data processing unit；Data processing unit handles initial data, forms valid data；Data analysis unit carries out various index operations and analysis by scheduled algorithm to the valid data automatically, forms director data；Director data is converted the identifiable instruction of PLC system by control processing unit, executes and remotely sends instructions to bottle placer PLC system, drive control executing agency.The present invention provides wider deeper data analysis by big data platform, facilitates monitoring personnel more comprehensively to understand equipment running status, can predict that equipment running status tendency, the chance automatic controlling equipment of abnormal conditions occur to prevent accident, intelligence degree is higher.
Description
Technical field
The present invention relates to machine vision, artificial intelligence Industry Control and safety testing field application, and in particular to one
Kind bottle placer operating status intelligent Detection and method.
Background technique
Bottle placer is a kind of equipment mechanically operated, will appear various abnormal problems unavoidably in production and application, such as
High temperature, pan feeding leakage or very few, overspeed produce product substandard products increase, yield and energy consumption are uncoordinated etc..In reproduction practice,
In order to avoid or find these exceptions, enterprise would generally arrange special messenger to be responsible for the inspection observation of producing line equipment, pass through the face of people
Whether sense organ goes impression and the state that judge equipment good, or is detected based on instrument and equipment and artificial registration data, and carries out letter
Single statistical analysis is to identify the abnormality with discovering device.If there is abnormal phenomenon, then carries out live manual control and set
It is standby to achieve the purpose that protect producing line equipment.The mode of this artificial inspection detection depends critically upon the subjective of people and conjestures, and
Registration and statistical data analysis can only be simply acquired, there is many drawbacks, is unable to reach enterprise's the set goal.
Sum up, manual detection mode there are the problem of it is as follows: (1) low efficiency, artificial detection, that is, artificial site inspection and measurement, row
It is slow to abnormal perception and response speed for low efficiency；(2) at high cost, artificial i.e. cost, the more producing line the longer, direct cost
It is higher with management cost；(3) risk is big, and the detection itself in operation with the producing line equipment in inoperative has biggish risk
Property, risk probability of happening is higher if the manpower amount of labour used is more, and to avoid or anticipating risk occur required investment get over
It is high；(4) stability or accuracy are poor, and artificial detection may require patrol officer and have certain profession, security knowledge, may be also
Dependent on the physical fitness of people, therefore testing result will receive the physiologic factor of people, mood, professional and enterprises using the labor stabilization
The interference of property can be easy to cause the phenomenon that detection effect stability is poor, the data precision is not high along with getting sth into one's head for people.
Summary of the invention
In view of the above-mentioned problems, artificial on-site test is substituted using multisensor, Image Acquisition by the present invention and data acquire,
Using or install the impurity detection device of view-based access control model additional and collect the substandard products data of product, substitute artificial carry out using computer
The prediction of equipment and the index of production, judgement and feedback, and the remote of warping apparatus is completed in conjunction with industrial automation technology
Journey manipulation, thus instead of inefficient artificial live manipulation behavior；The index of use includes the failure rate, utilization rate, power output of equipment
Rate, energy input, the defect rate of product, yield；Furthermore it carries out effective state recognition in conjunction with all kinds of data acquired in real time and sentences
It is fixed, and automatic remote executes equipment manipulation, realizes automation, intelligent monitoring and the operation of equipment state, thus for production pipe
Reason person provides managerial convenience, also promotes to be finally reached the target for protecting filling machine equipment, high-efficiency high-quality production, meets country
The industrial strategic direction advocated.
To achieve the above object, the technical solution adopted by the present invention is a kind of bottle placer operating status intellectualized detection system
System, the system include that data acquisition unit, data processing unit, data analysis unit and control processing unit, the data are adopted
Collection unit acquires the parameter of filling machine equipment operation by sensor and industrial camera, forms initial data, is sent by network
To data processing unit, data processing unit handles initial data, forms valid data and saves, data analysis unit
Various index operations and analysis are carried out by scheduled algorithm to the valid data automatically, forms director data and is sent to control
Director data is converted the identifiable instruction of PLC system by processing unit processed, control processing unit, and execution is remotely sent instructions to
Bottle placer PLC system, drive control executing agency, and operation information is uploaded, it is used convenient for subsequent analysis and statistics, thus real
Existing intelligent monitoring and control.
Further, the parameter of above-mentioned filling machine equipment operation includes temperature, voltage, electric current, revolving speed, vibration, sound, figure
Picture.
Above-mentioned data processing unit to initial data carry out processing include initial data be decoded conversion, filtering, screening,
It repairs, union operation.
The index that the index operation that above-mentioned data analysis unit carries out is related to includes the failure rate, utilization rate, power output of equipment
Rate, energy input, the defect rate and yield of product.
The present invention is it is further proposed that a kind of detected using above-mentioned bottle placer operating status intelligent Detection
Method, comprising the following steps:
S1: acquiring the multi-dimensional state data of filling machine equipment by sensor, is acquired by industrial camera and obtains bottle placer
The image data of product on line, above-mentioned raw sensory data are connected by fiber optic network and the data acquisition for being passed to system is single
Member；
S2: data acquisition unit handles raw sensory Data Data, exports valid data, carries out to product image
Substandard products identification or foreign matter distinguish, export recognition result data, to synchronous driving after above data storage to data analysis unit；
S3: data analysis unit receives data, carries out real-time statistic analysis in conjunction with historical data and analysis result, is shown
Show, and carry out the trend intelligent predicting of equipment and production status and determine, thus according to the corresponding behaviour of result triggering transmission is determined
Control instruction；
S4: control processing unit receives manipulation instruction information, is adapted to conversion instruction, calls PLC system by network remote
Interface carries out instruction operation, to realize remote control effect.
Preferably, above-mentioned multi-dimensional state data include temperature, voltage, revolving speed, vibration information.
Compared with prior art, the invention has the following advantages:
1, the present invention can substitute the work of artificial detection, realize include equipment running status detect automatically, product quality
The acquisition and record, equipment state and the analysis and report of production Product Status, equipment of detection, equipment with production product data are different
The contents such as normal feedback, emergency operation.
2, The present invention reduces manpower recruitment, the detection work of sensor and industrial camera substitution risk zones is reduced
Personnel's detection risk.
3, the present invention substitutes artificial realization high efficiency by using computer, and big data platform possesses more frequent faster and more
Ground acquisition equipment operating data simultaneously records, and analysis and operation incessantly, real-time output equipment operating status can get set at any time
The report of received shipment row, the state that more timely notes abnormalities simultaneously respond rapidly.
4, the present invention reduces manpower recruitment to the maximum extent, reduces human cost, keeps management simpler, to reduce pipe
Manage cost.
5, present invention employs multisensors, machine vision technique, and the operation data for acquiring equipment is more acurrate, analyze and pre-
Survey it is more acurrate, thus guarantee equipment running status detection it is more acurrate, make correct response, reject substandard product in time, mention
High production yield.
6, not by the physiology of people, mood, personality, flow effect, platform can ensure the big data platform that the present invention uses
The normal operation of detection and monitoring, reliable and stable guarantee is provided for equipment production run.
7, the present invention provides wider deeper data by big data platform and analyzes, and facilitates monitoring personnel more comprehensively to understand and sets
Standby operating status can predict equipment running status tendency, meet the automatic controlling equipment of abnormal conditions come generation of preventing accident, intelligence
Change degree is higher.
Detailed description of the invention
Fig. 1 is the building-block of logic of bottle placer operating status intelligent Detection of the present invention.
Fig. 2 is the logical flow chart of bottle placer operating status intellectualized detection method of the present invention.
Fig. 3 is the system construction drawing of bottle placer operating status intelligent Detection embodiment
Specific embodiment
The invention will now be described in further detail with reference to the accompanying drawings.
The overall structure of bottle placer operating status intelligent Detection of the present invention is by data acquisition unit, data processing list
Member, data analysis unit control processing unit totally 4 core components, as shown in Figure 1.They be each responsible for acquisition initial data,
It processing and saves valid data, analysis and alarm and control, centralized control and long-range execute and the relevant movement such as manipulates.
The principle logic chart of bottle placer operating status intellectualized detection method is as shown in Figure 2:
1) data acquisition unit by sensor, industrial camera acquire the temperature of filling machine equipment operation, voltage, electric current,
The initial data such as revolving speed, vibration, sound, image distinguish substandard products using vision impurities identification device and obtain substandard products related data
Data are transmitted to data processing unit by network by statistics；This process works for substituting artificial on-site test and data record,
It acquires fast, quasi-.
2) after data processing unit receives initial data, by initial data be decoded conversion, filtering, screening, reparation,
After the operations such as merging, valid data are saved, data operation and analysis is provided for data analysis unit, substitutes at artificial data
Reason, possesses more acurrate powerful processing capacity；
3) data analysis unit carries out various index operations and analysis by scheduled algorithm automatically, and statistical dimension includes number
According to dimensions such as, time, relationships, the index being related to includes the failure rate of equipment, utilization rate, goes out power rate, energy input, the substandard products of product
Rate, yield, result are used to the identification, judgement and prediction of equipment state and production status；
4) control processing unit is central control unit, is responsible for receiving the manipulation command of data analysis unit, and be converted into
The identifiable instruction of PLC system executes and remotely sends instructions to bottle placer PLC system, drive control executing agency, such as electronic
Machine accelerates, slows down, stopping or solenoid valve is opened and closed etc., is rejected even for filling substandard product, and information is uploaded, just
It is used in subsequent analysis and statistics, to realize intelligent monitoring and control.
Further to implement the present invention convenient for those skilled in the art, a specific embodiment, technical side are now provided
Case is as follows:
Firstly, acquiring bottle placer in real time for sensors such as filling machine equipment reload temperature, electric current, voltage, vibration, sound
Corresponding data information installs the image information of industrial camera captured in real-time bottle placer detected part additional, is connected by fiber optic network
And it is transferred to the data processing unit being mounted on monitoring central server (intelligent checking system).
Intelligent checking system receives initial data and image information, which is actually to be made of multiple servers, often
A server is responsible for specific data processing target, can mutually be accessed between server by network.
Acquired by product quality device and product image and identify whether product is substandard products, for overall detection provide yield and
The data of fail statistics dimension.
Above data is successively handled, counted and is analyzed by each function server, or based on built-in big data mould
Type, the development trend of prediction data index determine the abnormal conditions being likely to occur, the state index of all data, statistical analysis
And image information can be transferred through terminal and show, the display information content includes equipment status data instantly, index trend, different
Normal warning information etc..
Industrial personal computer is connected into the network, and provides link address and port to intelligent checking system, and provide development interface, with
When can receive peripheral operation command service.
When the analytical unit of intelligent checking system identifies and determine that equipment state or production status are deposited when abnormal, by touching
It sends out alarming processing corresponding, different warning strategies is implemented according to different Exception Types and rank, such as classification notice, triggering are remote
Process control, when needing through control equipment to adapt to status, analytical unit server will be by network to control unit service
Device issues operational order, is communicated by control unit service with industrial personal computer, realizes remote operation apparatus, also finally realizes the intelligence of system
Functional effect can be changed.
The description of the above specific embodiment is not intended to limit the invention, all within the spirits and principles of the present invention institute
Any modification, equivalent substitution, improvement and etc. of work, should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of bottle placer operating status intelligent Detection, it is characterised in that the system includes data acquisition unit, data
Processing unit, data analysis unit and control processing unit, the data acquisition unit are acquired by sensor and industrial camera
The parameter of filling machine equipment operation, forms initial data, is sent to data processing unit by network；Data processing unit is to original
Beginning data are handled, and are formed valid data and are saved；Data analysis unit passes through scheduled algorithm certainly to the valid data
It is dynamic to carry out various index operations and analysis, it forms director data and is sent to control processing unit；Controlling processing unit will instruct
Data are converted into the identifiable instruction of PLC system, execute and remotely send instructions to bottle placer PLC system, and drive control executes machine
Structure, and operation information is uploaded, it is used convenient for subsequent analysis and statistics, to realize intelligent monitoring and control.
2. bottle placer operating status intelligent Detection according to claim 1, which is characterized in that the bottle placer is set
The parameter of received shipment row includes temperature, voltage, electric current, revolving speed, vibration, sound, image.
3. bottle placer operating status intelligent Detection according to claim 1, which is characterized in that the data processing
It includes that initial data is decoded conversion, filtering, screening, reparation, union operation that unit, which carries out processing to initial data,.
4. bottle placer operating status intelligent Detection according to claim 1, which is characterized in that the data analysis
The index that the index operation that unit carries out is related to includes the failure rate of equipment, utilization rate, goes out power rate, energy input, the substandard products of product
Rate and yield.
5. a kind of method detected using bottle placer operating status intelligent Detection described in claim 1, special
Sign is comprising the steps of:
S1: acquiring the multi-dimensional state data of filling machine equipment by sensor, is acquired and is obtained on bottle placer line by industrial camera
Above-mentioned raw sensory data are connected by fiber optic network and are passed to the data acquisition unit of system by the image data of product；
S2: data acquisition unit handles raw sensory Data Data, exports valid data, carries out substandard products to product image
Identification or foreign matter distinguish, export recognition result data, to synchronous driving after above data storage to data analysis unit；
S3: data analysis unit receives data, carries out real-time statistic analysis in conjunction with historical data and analysis result, is shown,
And carry out the trend intelligent predicting of equipment and production status and determine, refer to send corresponding manipulation according to judgement result triggering
It enables；
S4: control processing unit receives manipulation instruction information, is adapted to conversion instruction, calls PLC system interface by network remote
Instruction operation is carried out, to realize remote control effect.
6. detection method according to claim 5, it is characterised in that the multi-dimensional state data include temperature, voltage, turn
Speed, vibration information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810697039.1A CN109051104A (en) | 2018-06-29 | 2018-06-29 | A kind of bottle placer operating status intelligent Detection and method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110597211A (en) * | 2019-09-26 | 2019-12-20 | 浙江一木智能科技有限公司 | Intelligent production state monitoring system |
| CN112859769A (en) * | 2020-12-31 | 2021-05-28 | 广东工业大学 | Energy consumption monitoring device in intelligent production equipment and operation method thereof |
| CN113213402A (en) * | 2021-05-25 | 2021-08-06 | 普拉博智能测控设备(湖北)有限公司 | Full-automatic intelligent grouting machine |
| CN114265390A (en) * | 2021-12-22 | 2022-04-01 | 苏州华星光电技术有限公司 | Equipment data acquisition diagnosis method and device, server and storage medium |
| CN115426483A (en) * | 2022-09-07 | 2022-12-02 | 南京西坝码头有限公司 | Equipment state monitoring system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080172417A1 (en) * | 2007-01-16 | 2008-07-17 | Thomas Oehler | Automatic Monitoring and Control of Fill Levels |
| CN101615026A (en) * | 2009-07-28 | 2009-12-30 | 西安交通大学 | The dynamic tracing control method of a kind of process control system and multilayer |
| CN103869797A (en) * | 2014-03-31 | 2014-06-18 | 立白日化有限公司 | Intelligent management system of filling production line |
| CN106227176A (en) * | 2016-08-31 | 2016-12-14 | 北京泰清科技有限公司 | A kind of filling and package production line real-time data transmission method |
| CN106227175A (en) * | 2016-08-31 | 2016-12-14 | 北京泰清科技有限公司 | A kind of collection filling and package production line stop data system and acquisition method thereof |
| CN107239064A (en) * | 2016-03-27 | 2017-10-10 | 中国食品发酵工业研究院 | A kind of method for assessing filling production lines efficiency and board state |
| CN107450501A (en) * | 2017-09-14 | 2017-12-08 | 长春北方化工灌装设备股份有限公司 | A kind of manufacturing execution system for being applied to automate filling workshop |
| CN107748546A (en) * | 2017-10-10 | 2018-03-02 | 江苏省邮电规划设计院有限责任公司 | A kind of factory's intelligent inspection system based on LoRa technologies |
| CN108803517A (en) * | 2018-06-22 | 2018-11-13 | 江苏高远智能科技有限公司 | A kind of Intelligentized regulation system and its method of drinks bottle placer production speed |
-
2018
- 2018-06-29 CN CN201810697039.1A patent/CN109051104A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080172417A1 (en) * | 2007-01-16 | 2008-07-17 | Thomas Oehler | Automatic Monitoring and Control of Fill Levels |
| DE102007002351A1 (en) * | 2007-01-16 | 2008-07-17 | Vega Grieshaber Kg | Automatic monitoring and control of levels |
| CN101615026A (en) * | 2009-07-28 | 2009-12-30 | 西安交通大学 | The dynamic tracing control method of a kind of process control system and multilayer |
| CN103869797A (en) * | 2014-03-31 | 2014-06-18 | 立白日化有限公司 | Intelligent management system of filling production line |
| CN107239064A (en) * | 2016-03-27 | 2017-10-10 | 中国食品发酵工业研究院 | A kind of method for assessing filling production lines efficiency and board state |
| CN106227176A (en) * | 2016-08-31 | 2016-12-14 | 北京泰清科技有限公司 | A kind of filling and package production line real-time data transmission method |
| CN106227175A (en) * | 2016-08-31 | 2016-12-14 | 北京泰清科技有限公司 | A kind of collection filling and package production line stop data system and acquisition method thereof |
| CN107450501A (en) * | 2017-09-14 | 2017-12-08 | 长春北方化工灌装设备股份有限公司 | A kind of manufacturing execution system for being applied to automate filling workshop |
| CN107748546A (en) * | 2017-10-10 | 2018-03-02 | 江苏省邮电规划设计院有限责任公司 | A kind of factory's intelligent inspection system based on LoRa technologies |
| CN108803517A (en) * | 2018-06-22 | 2018-11-13 | 江苏高远智能科技有限公司 | A kind of Intelligentized regulation system and its method of drinks bottle placer production speed |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110597211A (en) * | 2019-09-26 | 2019-12-20 | 浙江一木智能科技有限公司 | Intelligent production state monitoring system |
| CN112859769A (en) * | 2020-12-31 | 2021-05-28 | 广东工业大学 | Energy consumption monitoring device in intelligent production equipment and operation method thereof |
| CN112859769B (en) * | 2020-12-31 | 2022-09-06 | 广东工业大学 | Energy consumption monitoring device in intelligent production equipment and operation method thereof |
| CN113213402A (en) * | 2021-05-25 | 2021-08-06 | 普拉博智能测控设备(湖北)有限公司 | Full-automatic intelligent grouting machine |
| CN114265390A (en) * | 2021-12-22 | 2022-04-01 | 苏州华星光电技术有限公司 | Equipment data acquisition diagnosis method and device, server and storage medium |
| CN114265390B (en) * | 2021-12-22 | 2024-02-20 | 苏州华星光电技术有限公司 | Equipment data acquisition diagnosis method, device, server and storage medium |
| CN115426483A (en) * | 2022-09-07 | 2022-12-02 | 南京西坝码头有限公司 | Equipment state monitoring system |
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Effective date of registration: 20191230 Address after: Room 401, unit 2, building 12, lvyechundi Cuiyuan, Xianlin street, Yuhang District, Hangzhou City, Zhejiang Province Applicant after: Fang Rusong Address before: 223001 No. 67, Xi Yuan Street, qingJiangpu District, Huaian, Jiangsu. Applicant before: Jiangsu Gao Yuan Intelligent Technology Co., Ltd. |
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Application publication date: 20181221 |
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