CN110908350A - Intelligent equipment point inspection system and intelligent equipment point inspection method - Google Patents
Intelligent equipment point inspection system and intelligent equipment point inspection method Download PDFInfo
- Publication number
- CN110908350A CN110908350A CN201911147631.5A CN201911147631A CN110908350A CN 110908350 A CN110908350 A CN 110908350A CN 201911147631 A CN201911147631 A CN 201911147631A CN 110908350 A CN110908350 A CN 110908350A
- Authority
- CN
- China
- Prior art keywords
- module
- parameter information
- equipment
- point inspection
- various
- 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
Images
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], computer integrated manufacturing [CIM]
- G05B19/4183—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], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- 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], computer integrated manufacturing [CIM]
- G05B19/4184—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], computer integrated manufacturing [CIM] characterised by fault tolerance, reliability of production system
-
- 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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
-
- 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]
Abstract
A point inspection system and a point inspection method for intelligent equipment comprise the following steps: the device comprises a data entry module, a threshold setting module, a data comparison module and an execution module; the data entry module is used for entering parameter information of various production equipment into the intelligent equipment point inspection system; the threshold setting module can set the threshold of the parameter information of various production equipment; the data comparison module can compare data information which is input into the intelligent equipment point inspection system in real time with parameter information of various corresponding production equipment in the threshold setting module so as to detect whether the various production equipment is abnormal or not; the execution module comprises: the display normal module and the display abnormal module are used for feeding back the comparison result of the data comparison module; the beneficial effects are that: the full-automatic detection process is adopted, the detection time of various production equipment is greatly shortened, the shutdown of various production equipment is not needed, and the production efficiency of the liquid crystal display panel is effectively improved.
Description
Technical Field
The application relates to the field of display, in particular to a point inspection system and a point inspection method for intelligent equipment.
Background
Liquid crystal display panels are widely used in daily life due to their many advantages. However, in the existing liquid crystal display panel production process, many process steps and equipment are involved, and the working state of each equipment affects the quality of the liquid crystal display panel, so that the production state of various production equipment generally needs to be checked regularly in the existing liquid crystal display panel production process, and the good state of various production equipment is ensured, and a high-quality liquid crystal display panel is produced safely.
However, in the existing production process of the liquid crystal display panel, the safety detection of various production devices is still performed in a manual detection mode, so that the accuracy is not high enough, the efficiency is low, and the cycle of production operation is seriously affected.
Therefore, in the existing display panel production technology, the problems of original safety detection mode of the liquid crystal display panel production equipment and low efficiency influence on the cycle of production operation exist, and improvement is urgently needed.
Disclosure of Invention
The application relates to an intelligent equipment point inspection system and an intelligent equipment point inspection method, which are used for solving the problems that in the prior art, the safety detection mode of liquid crystal display panel production equipment is original, the efficiency is low, and the production operation period is influenced.
In order to solve the above problems, the technical solution provided by the present application is as follows:
the application provides a system is examined to smart machine point, includes: the device comprises a data entry module, a threshold setting module, a data comparison module and an execution module; wherein the content of the first and second substances,
the data entry module is used for entering parameter information of various production equipment into the intelligent equipment point inspection system;
the threshold setting module can set the threshold of the parameter information of various production equipment;
the data comparison module can compare data information which is input into the intelligent equipment point inspection system in real time with parameter information of various corresponding production equipment in the threshold setting module so as to detect whether the various production equipment is abnormal or not;
the execution module comprises: and the normal display module and the abnormal display module are used for feeding back the comparison result of the data comparison module.
According to an embodiment provided by the application, the information of the data entry module is respectively from a manufacturing execution system, an engineering data analysis system and a fault detection and classification system, and the abnormality display module further comprises carriers of various corresponding devices.
According to an embodiment provided by the application, the various production devices can be connected to a local area network, and transmit various parameter information to the manufacturing execution system, the engineering data analysis system and the fault detection and classification system in a wireless connection manner.
According to an embodiment provided by the application, the manufacturing execution system, the engineering data analysis system and the fault detection and classification system are connected in parallel to form a whole and then connected in series with the data entry system.
According to an embodiment provided by the application, the manufacturing execution system, the engineering data analysis system and the fault detection and classification system are all provided with timing modules, so that time is updated in real time, and parameter information of various production devices is output in corresponding time periods.
According to an embodiment of the present application, the timing module comprises at least one timing mode.
According to an embodiment of the present application, the manufacturing execution system, the engineering data analysis system and the fault detection and classification system are output separately or simultaneously.
According to an embodiment provided herein, the various production apparatuses include: cutting machine, burnishing machine, coating machine, exposure machine, conveyer belt and polisher.
According to an embodiment provided by the present application, the parameter information of the various production devices includes: one or more of an ambient humidity value, an ambient temperature value, a pressure value, a current value, a vibration amplitude, a speed and a displacement amount are combined.
The application also provides a method for checking the intelligent equipment, which comprises all the characteristics of the intelligent equipment checking system, and the method comprises the following steps:
s10, setting automatic detection time in each timing module;
s20, when the set time is reached, the various production equipments automatically transmit different parameter information to the manufacturing execution system, the engineering data analysis system or the fault detection and classification system respectively;
s30, the manufacturing execution system, the engineering data analysis system and the fault detection and classification system respectively transmit various parameter information to the data entry module;
s40, the data entry module transmits various parameter information to the data comparison module, and the data comparison module compares the received various parameter information with the threshold of the corresponding parameter set in the threshold setting module;
s50, if the various parameter information is in the threshold range of the corresponding parameter in the threshold setting module, the normal information of the equipment is output by the normal display module, and a green light is turned on;
and S60, if some of the various parameter information is not in the threshold range of the corresponding parameters in the intelligent equipment point inspection system, the abnormal display module outputs equipment abnormal information, opens an equipment abnormal list, and lights a red light at the carrier of the corresponding equipment with the abnormal condition in the intelligent equipment point inspection system.
Compared with the prior art, the intelligent equipment point inspection system and the intelligent equipment point inspection method have the beneficial effects that:
the application provides a smart machine point inspection system includes: the device comprises a data entry module, a threshold setting module, a data comparison module and an execution module; the data entry module enters parameter information of various production equipment into the intelligent equipment point inspection system, and the threshold setting module can set thresholds of the parameter information of various production equipment; the data comparison module can compare data information which is input into the intelligent equipment point inspection system in real time with parameter information of various corresponding production equipment in the threshold setting module so as to detect whether the various production equipment is abnormal or not; the execution module comprises: and the normal display module and the abnormal display module are used for feeding back the comparison result of the data comparison module. And the abnormal display module is also internally provided with carriers of various corresponding devices, so that when abnormal conditions are detected, corresponding fault devices can be quickly and accurately positioned. The full-automatic detection process is adopted, the detection time of various production equipment is greatly shortened, the shutdown of various production equipment is not needed, and the production efficiency of the liquid crystal display panel is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of an intelligent device spot inspection system provided in an embodiment of the present application.
Fig. 2 is a schematic flowchart of a method for performing spot inspection on an intelligent device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it is to be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the present application and for simplicity in description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated in a particular manner, and are not to be construed as limiting the present application. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", may explicitly or implicitly include one or more of the described features. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; may be mechanically connected, may be electrically connected or may be in communication with each other; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
In this application, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may comprise direct contact of the first and second features, or may comprise contact of the first and second features not directly but through another feature in between. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
The following disclosure provides many different embodiments or examples for implementing different features of the application. In order to simplify the disclosure of the present application, specific example components and arrangements are described below. Of course, they are merely examples and are not intended to limit the present application. Moreover, the present application may repeat reference numerals and/or letters in the various examples, such repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. In addition, examples of various specific processes and materials are provided herein, but one of ordinary skill in the art may recognize applications of other processes and/or use of other materials.
The application provides a point inspection system and a point inspection method for intelligent equipment, and particularly refers to fig. 1-2.
The existing liquid crystal display panel has many steps and processes, so the number of machines used is large. In order to ensure the processing quality of the liquid crystal display panel in the production process, the good state of various production devices needs to be ensured. Therefore, it is important to detect the operation state of the various production apparatuses. However, the existing detection mode of the production equipment is original, takes long time, has long downtime, low efficiency and is easy to make mistakes, and the intelligent equipment point inspection system and the intelligent equipment point inspection method provided by the application are used for solving the problems.
Firstly, the application provides a system is examined to smart machine point, exists as the form of software, convenient and practical just saves space and time cost. Referring to fig. 1, the intelligent device spot inspection system includes: the device comprises a data entry module 6, a threshold setting module 5, a data comparison module 7 and an execution module 8; wherein the content of the first and second substances,
the data entry module 6 enters parameter information of various production devices 1 into the intelligent device point inspection system, the parameter information is key influence factors and indexes of various production processes corresponding to different production devices, each production device corresponds to corresponding parameter information during normal operation, and the parameter information may be one or more, including at least one; the parameter information may be the same or different for different production devices, and the threshold ranges for different parameter information may be the same or different, in most cases different. Therefore, before detecting various production devices, the parameter information corresponding to the production device to be measured needs to be set in the intelligent device spot inspection system.
Therefore, the intelligent device spot inspection system further comprises a threshold setting module 5, which can set the threshold of the relevant parameter information of various production devices to be detected into the intelligent device detection system before detecting the production devices each time;
the data comparison module 7 compares the data information input into the intelligent equipment point inspection system in real time with the threshold values of the parameter information of various corresponding production equipment in the threshold setting module 5 during detection so as to detect whether the various production equipment is abnormal or not;
the execution module 8, the execution module 8 further includes a normal display module 81 and an abnormal display module 82, when the detected values of the parameter information of the various production devices are within the threshold range of the corresponding parameter information in the threshold setting module 5 of the intelligent device point inspection system, the normal display module 81 outputs the normal device information, and lights a green light, and only when all the detected production devices are not abnormal, the normal display module 81 can output the normal device information; when detecting the numerical value of the parameter information of various production facilities is greater than or less than the intelligent equipment point inspection system when the threshold value sets up corresponding parameter information's in the module 5 threshold value within range, then show unusual module 82 output device unusual information, leave out equipment unusual list, because still be provided with the carrier of various corresponding equipment in the unusual display module, consequently, work as when producing when unusual in the intelligent equipment point inspection system, the carrier department of corresponding equipment can the bright red light for maintenance personal can be quick, accurate location to corresponding faulty equipment, and the maintenance personal of being convenient for promptly salvages, reduces the emergence of production accident. The display abnormality module 82 outputs an abnormality signal whenever there is an abnormality in one of the detected production apparatuses. The connection mode between the display normal module 81 and the display abnormal module 82 is an interlocking connection mode, that is, when the display normal module 81 outputs display, the display abnormal module 82 is disconnected and does not output; when the display abnormality module 82 outputs a display, the display normal module 81 is turned off and does not output, that is, the display normal module 81 and the display abnormality module 82 always do not operate simultaneously.
Further, the information in the data entry module 6 comes from a Manufacturing Execution System (MES), an Engineering data analysis System (EDA), and a Fault Detection and Classification System (FDC) 2 (Manufacturing Execution System), an Engineering data analysis System 3 (EDA), and a Fault Detection and Classification System 4 (FDC), respectively. According to different product types, the information input by the manufacturing execution system 2, the engineering data analysis system 3 and the fault detection and classification system 4 is different, and the manufacturing execution system 2 is mainly used for collecting index information of the characteristics of production equipment; the engineering data analysis system 3 is mainly used for collecting relevant index information in the production and processing process; the fault detection and classification system 4 is mainly used for detecting the change condition of the equipment in the processing process of the production equipment in real time.
Furthermore, the various production devices can be connected to a local area network, and various parameter information is transmitted to the manufacturing execution system 2, the engineering data analysis system 3 and the fault detection and classification system 4 in a wireless connection manner, so that the method is simple and convenient.
Furthermore, the manufacturing execution system 2, the engineering data analysis system 3 and the fault detection and classification system 4 are connected in parallel, and the whole of the manufacturing execution system 2, the engineering data analysis system 3 and the fault detection and classification system 4 connected in parallel is connected in series with the data entry system 6. That is to say, when the intelligent device spot inspection system is used for inspecting the safety of various production devices, all the production devices can be measured at one time, or only a part of the production devices can be measured at one time, if a part of the production devices are measured, the parameter information of the production devices is the same and can be measured simultaneously, and the parameter information of the production devices is different and can be measured for multiple times.
Further, the manufacturing execution system 2, the engineering data analysis system 3 and the fault detection and classification system 4 are all provided with timing modules, namely, a first timing module 21 is arranged in the manufacturing execution system 2, a second timing module 31 is arranged in the engineering data analysis system 3, a third timing module 41 is arranged in the fault detection and classification system 4, and the first timing module 21, the second timing module 31 and the third timing module 41 update and output the parameter information of various production devices in real time in corresponding time periods, the time and number of detections required may be set periodically at the beginning, and subsequent detections, as long as in the case of power-on, the intelligent equipment point inspection system can automatically detect the production states of various equipment, and the automatic detection time or period is required to be changed and reset. Further, each of the first timing module 21, the second timing module 31 and the third timing module 41 at least includes a timing mode, such as an accumulative formula, a zero-returning formula, etc., the accumulative formula is presented in a clock manner, and then after a certain set time interval or a set production period interval is circulated, the system starts self-checking; and resetting the time after each detection of the return-to-zero type is finished, and then running a certain set time interval or performing self-detection after the set production cycle interval.
In an embodiment of the present application, the manufacturing execution system 2, the engineering data analysis system 3, and the fault detection and classification system 4 may output separately or simultaneously, and in the actual detection process, the output is determined according to the equipment requirements of the lcd panel manufacturing plant.
In one embodiment of the present application, the various production equipment includes: a cutter, a polisher, a coater, an exposure machine, a conveyor, a polisher, and the like. Accordingly, the parameter information of the various production apparatuses includes: one or a combination of a plurality of environmental humidity values, environmental temperature values, pressure values, current values, vibration amplitudes, speeds and displacement quantities, and the parameter information is a factor influencing the normal production operation of relevant production equipment and is an important index for measuring whether the corresponding production equipment can normally operate. When various production equipment processes a certain amount of products, the basic range of the parameter information is fixed, and the abnormal equipment can be found out in such a way only when the production capacity changes or the equipment is abnormal and the parameter information changes, and only by ensuring that the quantity of the products produced each time is certain.
The present application further provides a method for performing point inspection on an intelligent device, including all the features of the above-mentioned system for performing point inspection on an intelligent device, referring to fig. 2, the method includes the following steps: s10, setting automatic detection time in each timing module; s20, when the set time is reached, the various production equipments automatically transmit different parameter information to the manufacturing execution system, the engineering data analysis system or the fault detection and classification system respectively; s30, the manufacturing execution system, the engineering data analysis system and the fault detection and classification system respectively transmit various parameter information to the data entry module; s40, the data entry module transmits various parameter information to the data comparison module, and the data comparison module compares the received various parameter information with the threshold of the corresponding parameter set in the threshold setting module; s50, if the various parameter information is in the threshold range of the corresponding parameter in the threshold setting module, the normal information of the equipment is output by the normal display module, and a green light is turned on; and S60, if some of the various parameter information is not in the threshold range of the corresponding parameters in the intelligent equipment point inspection system, the abnormal display module outputs equipment abnormal information, opens an equipment abnormal list, and lights a red light at the carrier of the corresponding equipment with the abnormal condition in the intelligent equipment point inspection system.
Therefore, the beneficial effects are as follows: the application provides a smart machine point inspection system includes: the device comprises a data entry module, a threshold setting module, a data comparison module and an execution module; the data entry module enters parameter information of various production equipment into the intelligent equipment point inspection system, and the threshold setting module can set thresholds of the parameter information of various production equipment; the data comparison module can compare data information which is input into the intelligent equipment point inspection system in real time with parameter information of various corresponding production equipment in the threshold setting module so as to detect whether the various production equipment is abnormal or not; the execution module comprises: and the normal display module and the abnormal display module are used for feeding back the comparison result of the data comparison module. And the abnormal display module is also internally provided with carriers of various corresponding devices, so that when abnormal conditions are detected, corresponding fault devices can be quickly and accurately positioned. The full-automatic detection process greatly shortens the detection time of various production equipment, does not need the shutdown of various production equipment, and effectively improves the production efficiency of the liquid crystal display panel.
The above detailed description is given to the system and method for point inspection of intelligent devices provided in the embodiments of the present application, and specific examples are applied in the present application to explain the principle and implementation manner of the present application, and the description of the above embodiments is only used to help understand the technical solution and core ideas of the present application; those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications or substitutions do not depart from the spirit and scope of the present disclosure as defined by the appended claims.
Claims (10)
1. The utility model provides a smart machine point inspection system which characterized in that includes: the device comprises a data entry module, a threshold setting module, a data comparison module and an execution module; wherein the content of the first and second substances,
the data entry module is used for entering parameter information of various production equipment into the intelligent equipment point inspection system;
the threshold setting module can set the threshold of the parameter information of various production equipment;
the data comparison module can compare data information which is input into the intelligent equipment point inspection system in real time with parameter information of various corresponding production equipment in the threshold setting module so as to detect whether the various production equipment is abnormal or not;
the execution module comprises: and the normal display module and the abnormal display module are used for feeding back the comparison result of the data comparison module.
2. The intelligent equipment point inspection system of claim 1, wherein the information of the data entry module is respectively from a manufacturing execution system, an engineering data analysis system and a fault detection and classification system, and the abnormality display module further comprises carriers of various corresponding equipment.
3. The intelligent equipment point inspection system of claim 1, wherein the various production equipment can be connected to a local area network, and transmit various parameter information to the manufacturing execution system, the engineering data analysis system and the fault detection and classification system by wireless connection.
4. The intelligent equipment point inspection system of claim 3, wherein the manufacturing execution system, the engineering data analysis system, and the fault detection and classification system are connected in parallel as a whole and then connected in series with the data entry system.
5. The intelligent equipment point inspection system according to claim 4, wherein the manufacturing execution system, the engineering data analysis system and the fault detection and classification system are provided with timing modules, and time is updated in real time and parameter information of various production equipment is output in corresponding time periods.
6. The intelligent device point inspection system of claim 5, wherein the timing module comprises at least one timing mode.
7. The smart device point inspection system of claim 5, wherein the manufacturing execution system, the engineering data analysis system, and the fault detection and classification system are output separately or simultaneously.
8. The intelligent device point inspection system of claim 4, wherein the various production devices comprise: cutting machine, burnishing machine, coating machine, exposure machine, conveyer belt and polisher.
9. The intelligent device spot inspection system according to claim 8, wherein the parameter information of the various production devices comprises: one or more of an ambient humidity value, an ambient temperature value, a pressure value, a current value, a vibration amplitude, a speed and a displacement amount are combined.
10. A method for intelligent device spot inspection, comprising the features of the intelligent device spot inspection system of any one of claims 1 to 9, the method comprising the steps of:
s10, setting automatic detection time in each timing module;
s20, when the set time is reached, the various production equipments automatically transmit different parameter information to the manufacturing execution system, the engineering data analysis system or the fault detection and classification system respectively;
s30, the manufacturing execution system, the engineering data analysis system and the fault detection and classification system respectively transmit various parameter information to the data entry module;
s40, the data entry module transmits various parameter information to the data comparison module, and the data comparison module compares the received various parameter information with the threshold of the corresponding parameter set in the threshold setting module;
s50, if the various parameter information is in the threshold range of the corresponding parameter in the threshold setting module, the normal information of the equipment is output by the normal display module, and a green light is turned on;
and S60, if some of the various parameter information is not in the threshold range of the corresponding parameters in the intelligent equipment point inspection system, the abnormal display module outputs equipment abnormal information, opens an equipment abnormal list, and lights a red light at the carrier of the corresponding equipment with the abnormal condition in the intelligent equipment point inspection system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911147631.5A CN110908350A (en) | 2019-11-21 | 2019-11-21 | Intelligent equipment point inspection system and intelligent equipment point inspection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911147631.5A CN110908350A (en) | 2019-11-21 | 2019-11-21 | Intelligent equipment point inspection system and intelligent equipment point inspection method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110908350A true CN110908350A (en) | 2020-03-24 |
Family
ID=69818374
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911147631.5A Pending CN110908350A (en) | 2019-11-21 | 2019-11-21 | Intelligent equipment point inspection system and intelligent equipment point inspection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110908350A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113359647A (en) * | 2021-06-30 | 2021-09-07 | 信利(仁寿)高端显示科技有限公司 | Automatic monitoring method and system for equipment point inspection data |
| 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 |
| CN114326489A (en) * | 2021-12-15 | 2022-04-12 | 太仓北新建材有限公司 | Voice broadcasting system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002235599A (en) * | 2001-02-09 | 2002-08-23 | Isuzu Motors Ltd | Trouble diagnosing device for cab-over type truck |
| CN103929483A (en) * | 2014-04-18 | 2014-07-16 | 中国地质调查局水文地质环境地质调查中心 | Automatic layering monitoring system for underground water |
| CN204215032U (en) * | 2014-10-30 | 2015-03-18 | 西北工业大学 | The hexa-atomic sensor array positioning system of ultrasound wave based on wireless sensor network technology |
| CN105096512A (en) * | 2015-09-24 | 2015-11-25 | 奇瑞汽车股份有限公司 | Smoke sensing alarm system based on GSM short message technology and operation method thereof |
| CN109240236A (en) * | 2018-09-29 | 2019-01-18 | 安徽海螺水泥股份有限公司 | Equipment management and auxiliary cruising inspection system |
-
2019
- 2019-11-21 CN CN201911147631.5A patent/CN110908350A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002235599A (en) * | 2001-02-09 | 2002-08-23 | Isuzu Motors Ltd | Trouble diagnosing device for cab-over type truck |
| CN103929483A (en) * | 2014-04-18 | 2014-07-16 | 中国地质调查局水文地质环境地质调查中心 | Automatic layering monitoring system for underground water |
| CN204215032U (en) * | 2014-10-30 | 2015-03-18 | 西北工业大学 | The hexa-atomic sensor array positioning system of ultrasound wave based on wireless sensor network technology |
| CN105096512A (en) * | 2015-09-24 | 2015-11-25 | 奇瑞汽车股份有限公司 | Smoke sensing alarm system based on GSM short message technology and operation method thereof |
| CN109240236A (en) * | 2018-09-29 | 2019-01-18 | 安徽海螺水泥股份有限公司 | Equipment management and auxiliary cruising inspection system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113359647A (en) * | 2021-06-30 | 2021-09-07 | 信利(仁寿)高端显示科技有限公司 | Automatic monitoring method and system for equipment point inspection data |
| CN114326489A (en) * | 2021-12-15 | 2022-04-12 | 太仓北新建材有限公司 | Voice broadcasting system |
| CN114326489B (en) * | 2021-12-15 | 2024-02-02 | 北新建材(苏州)有限公司 | Voice broadcasting system |
| 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 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110908350A (en) | Intelligent equipment point inspection system and intelligent equipment point inspection method | |
| CN109326539B (en) | Solar cell production real-time monitoring digital system | |
| CN112987696A (en) | Regional power distribution network equipment management platform and operation method thereof | |
| CN102538661A (en) | System and method for rapidly detecting flatness of sectional material | |
| CN102555436B (en) | Gold stamping system for cigarette labels and gold stamping process for cigarette labels | |
| CN113625672B (en) | Equipment monitoring method and device and storage medium | |
| CN113172000A (en) | Cigarette system with weight supervision and management platform | |
| CN104120497A (en) | System and method for cleaning spinneret orifices of spinneret plate | |
| CN109309022A (en) | A kind of defect sampling observation method | |
| CN103811367A (en) | Product defect detection method | |
| CN110763979A (en) | LED wafer point measurement automatic system based on MES system | |
| CN202499312U (en) | Adverse detection rejection system for tobacco factory | |
| CN103163402B (en) | Relay protection device state monitoring apparatus based on secondary circuit and monitoring method | |
| CN105253389A (en) | Bottle falling and bottle omission detecting device and method | |
| US11374534B2 (en) | Optoelectronic solar cell test system for an in-line solar cell production plant, and method for optimizing the in-line production of solar cells using an optoelectronic solar cell test system of this type | |
| CN112184031A (en) | Automatic equipment selection system and method for production control | |
| CN204759441U (en) | Two -dimensional code check out test set and corresponding detecting system | |
| CN102062817A (en) | Frequency offset detection method and device for crystal oscillator of electronic product | |
| CN105759748B (en) | A kind of dynamic monitoring system and monitoring method of semiconductor production board hardware performance | |
| CN101726367A (en) | Temperature detection device of important temperature detection point | |
| CN116629447A (en) | Intelligent detection system applied to PCBA products | |
| CN204422670U (en) | A kind of online aging testing system | |
| CN115265635A (en) | Industrial machine vision detection management system based on data analysis | |
| CN103067101B (en) | Communication terminal testing and monitoring method and device | |
| CN202393349U (en) | Device for quickly detecting planeness of sectional materials |
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: 20200324 |