CN113671911A - Production condition monitoring system - Google Patents

Production condition monitoring system Download PDF

Info

Publication number
CN113671911A
CN113671911A CN202110853074.XA CN202110853074A CN113671911A CN 113671911 A CN113671911 A CN 113671911A CN 202110853074 A CN202110853074 A CN 202110853074A CN 113671911 A CN113671911 A CN 113671911A
Authority
CN
China
Prior art keywords
module
product
processing unit
central processing
production
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
Application number
CN202110853074.XA
Other languages
Chinese (zh)
Inventor
王晓东
宋刚
吴俊峰
王小明
郑凯
李书芳
杨志强
刘著文
李鹏举
庞艳红
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Tobacco Henan Industrial Co Ltd
Original Assignee
China Tobacco Henan Industrial Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Tobacco Henan Industrial Co Ltd filed Critical China Tobacco Henan Industrial Co Ltd
Priority to CN202110853074.XA priority Critical patent/CN113671911A/en
Publication of CN113671911A publication Critical patent/CN113671911A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32368Quality control
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • General Factory Administration (AREA)

Abstract

The application discloses a production condition monitoring system, which comprises a central processing unit and a product quality monitoring subsystem; the product quality monitoring subsystem comprises a product detection module, a data analysis module, a classification statistical module and a product quality detection report generation module; the product detection module is used for collecting at least one detection parameter of at least one batch of products; the data analysis module is used for comparing the detection parameters of each product with corresponding standard parameters to obtain a detection result about whether the product is qualified or not; the classification statistical module is used for counting the qualified product quantity and the unqualified product quantity; the product quality detection report generation module is used for generating a product quality detection report according to the qualified product quantity and the unqualified product quantity; the central processing unit is connected with the product quality monitoring subsystem and is used for receiving the product quality detection report. The application is convenient for improving the follow-up production work of the cigarettes.

Description

Production condition monitoring system
Technical Field
The application relates to the technical field of cigarette production, in particular to a monitoring system for production conditions.
Background
Cigarette is at the in-process of production, and its quality and quantity are the core demand, and most cigarette production systems do not gather the integration to cigarette quality inspection data at present to lead to the managers can't in time know the production situation, then can't make the improvement to the follow-up production work of cigarette.
At the same time. The existing cigarette production does not have statistics on the number of cigarettes, the production efficiency cannot be accurately grasped, the environment and personnel are not monitored, and the emergency situation in the production cannot be timely processed.
Disclosure of Invention
The application provides a monitored control system of production situation, analyzes cigarette quality inspection data and obtains the quality testing report, conveniently makes the improvement to the follow-up production work of cigarette.
The application provides a production condition monitoring system, which comprises a central processing unit and a product quality monitoring subsystem;
the product quality monitoring subsystem comprises a product detection module, a data analysis module, a classification statistical module and a product quality detection report generation module;
the product detection module is used for collecting at least one detection parameter of at least one batch of products;
the data analysis module is used for comparing the detection parameters of each product with corresponding standard parameters to obtain a detection result about whether the product is qualified or not;
the classification statistical module is used for counting the qualified product quantity and the unqualified product quantity;
the product quality detection report generation module is used for generating a product quality detection report according to the qualified product quantity and the unqualified product quantity;
the central processing unit is connected with the product quality monitoring subsystem and is used for receiving the product quality detection report.
Preferably, the system also comprises a yield data input module, an extraction module and a chart generation module;
the product data input module is used for inputting a target yield and an actual yield to the central processing unit;
the extraction module is used for extracting the target yield and the actual yield from the central processor;
the chart generation module is used for making a yield comparison chart according to the target yield and the actual yield extracted by the extraction module, and sending the yield comparison chart to the central processing unit.
Preferably, the system further comprises an environmental data acquisition subsystem, wherein the environmental data acquisition subsystem is connected with the central processing unit and is used for acquiring parameters of the production environment as environmental data.
Preferably, the environmental data collection subsystem comprises a temperature and humidity sensor, a combustible gas sensor, a smoke sensor and/or a photosensitive sensor.
Preferably, the intelligent analysis device further comprises an intelligent analysis module and an alarm;
the intelligent analysis module is used for extracting the environmental data from the central processing unit and analyzing the alarm condition of the environmental data;
if the alarm condition exists, the intelligent analysis module sends the alarm condition to the central processing unit, and the central processing unit sends an alarm signal to the alarm.
Preferably, the system also comprises a personnel monitoring subsystem, wherein the personnel monitoring subsystem is connected with the central processing unit and is used for monitoring the field behavior data of the workers;
and the number of the first and second electrodes,
the intelligent analysis module is also used for extracting the field behavior data from the central processing unit and analyzing the abnormal behavior of the field behavior data;
if the abnormal behavior exists, the intelligent analysis module sends the abnormal behavior to the central processing unit, and the central processing unit sends an alarm signal to the alarm.
Preferably, the people monitoring subsystem comprises an infrared sensor, a high-definition camera and/or a sound sensor.
Preferably, the monitoring system further comprises an acquisition center, the acquisition center is connected with the central processing unit through the wireless transmission module, and the acquisition center is used for acquiring product quality detection reports, yield comparison charts and/or environmental data.
Preferably, the monitoring system further comprises a memory for storing the product quality inspection report, the target production volume and the actual production volume.
Further features of the present application and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which is to be read in connection with the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the application and together with the description, serve to explain the principles of the application.
FIG. 1 is a block diagram of a production condition monitoring system provided herein;
fig. 2 is a block diagram of a product quality monitoring subsystem provided herein.
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
The application provides a monitoring system of production situation, analyzes cigarette quality inspection data and obtains the quality testing report, conveniently improves the follow-up production work of cigarette. Simultaneously, this application still provides output contrast chart, production environment's control and personnel's control, provides the safety guarantee for production when integrating production data.
Fig. 1 is a block diagram of a monitoring system for production status provided in the present application. As shown in fig. 1, the monitoring system for production conditions includes a central processing unit 1 and a product quality monitoring subsystem 3.
As shown in fig. 2, the product quality monitoring subsystem 3 includes a product detection module 31, a data analysis module 32, a classification statistic module 33, and a product quality detection report generation module 34.
The product detection module 31 is configured to collect at least one detection parameter of at least one batch of products, such as weight, moisture content, end cut amount, appearance quality of cigarettes, appearance quality of cigarette packets, and the like. The detection parameter may be a plurality of parameters for each production process, a parameter of a product for each production plant, or each parameter in the entire production line.
The data analysis module 32 is configured to compare the detection parameters of each product (e.g., tobacco shred, cigarette, tobacco bale, etc.) with the corresponding standard parameters, and obtain a detection result about whether the product is qualified.
The classification statistic module 33 is used for counting the number of qualified products and the number of unqualified products. And if the data analysis module 32 obtains the analysis result that the product is qualified, adding one to the counter of the sub-module of the qualified product, otherwise, adding one to the counter of the sub-module of the unqualified product.
The product quality inspection report generating module 34 is used for generating a product quality inspection report according to the qualified product quantity and the unqualified product quantity.
Preferably, the data analysis module 32 also analyzes the defective products and the causes of the defects. In the preferred embodiment, the product quality inspection report generation module 34 also counts defects and causes of defects of similar products, and provides corresponding solutions or preventive measures according to the causes of defects.
The central processing unit 1 is connected with the product quality monitoring subsystem 3, and the central processing unit 1 is used for receiving a product quality detection report.
Preferably, as shown in fig. 1, the monitoring system further comprises a production data input module 2, an extraction module 5 and a chart generation module 6.
The product data input module 2 is used for inputting the target yield and the actual yield to the central processing unit 1. Preferably, the product data input module 2 includes a target yield setting submodule for setting a target yield within a specified time period and an actual yield input submodule for inputting an actual yield within a specified time period in the target yield setting submodule.
The extraction module 5 is used for extracting the target yield and the actual yield from the central processing unit 1.
The chart generating module 6 is used for making a yield comparison chart according to the target yield and the actual yield extracted by the extracting module 5, and the chart generating module 6 sends the yield comparison chart to the central processing unit 1. Preferably, the graph generation module 6 also graphically displays the ring ratio growth rate of the actual production volume over different specified time periods and the ring ratio growth rate of the same production facility or the same production environment.
As shown in fig. 1, the monitoring system further includes an environmental data collection subsystem 9, the environmental data collection subsystem 9 is connected to the central processing unit 1, and the environmental data collection subsystem 9 is configured to collect parameters of the production environment as environmental data. As an example, the environmental data collection subsystem includes, but is not limited to, a temperature and humidity sensor, a combustible gas sensor, a smoke sensor, a light-sensitive sensor, and the like.
On the basis, the monitoring system further comprises an intelligent analysis module 11 and an alarm (not shown in the figure).
The intelligent analysis module 11 is used for extracting the environment data from the central processing unit 1 and analyzing the alarm condition of the environment data. If the alarm condition exists, the intelligent analysis module 11 sends the alarm condition to the central processing unit 1, and the central processing unit 1 sends an alarm signal to the alarm to give an alarm.
Preferably, as shown in fig. 1, the monitoring system further includes a personnel monitoring subsystem 10, the personnel monitoring subsystem 10 is connected to the central processor 1, and the personnel monitoring subsystem 10 is configured to monitor field behavior data of a worker. On the basis, the intelligent analysis module 11 is also used for extracting the field behavior data from the central processing unit 1 and performing abnormal behavior analysis on the field behavior data. If the abnormal behavior exists, the intelligent analysis module 11 sends the abnormal behavior to the central processing unit 1, and the central processing unit 1 sends an alarm signal to an alarm to give an alarm.
As an embodiment, the personnel monitoring subsystem 10 includes, but is not limited to, an infrared sensor, a high definition camera, a sound sensor, and the like, and can automatically collect the position, image, and video parameters of the personnel, and when the intelligent analysis module 11 identifies dangerous actions such as smoking, equipment damage, and the like, the central processing unit 1 drives an alarm in the workshop to give an alarm to prompt relevant information.
The environment data acquisition subsystem and the personnel monitoring subsystem can realize the monitoring of the environment and personnel in a production workshop, ensure the standardability and quality of cigarette production and simultaneously improve the production safety.
Preferably, as shown in fig. 1, the monitoring system further includes an acquisition center 8, the acquisition center is connected with the central processor 1 through the wireless transmission module 7, and the acquisition center 8 is used for acquiring a product quality detection report, a yield comparison chart and/or environmental data. The staff receives the information according to the collection center, on one hand, the production process of the cigarettes can be improved from the two points of quality and yield of the cigarette products, and on the other hand, the production environment can be improved from the relationship between the production environment and the product quality and/or yield.
Preferably, as shown in fig. 1, the monitoring system further includes a memory 4, and the memory 4 is used for storing the product quality detection report, the target production volume and the actual production volume, so as to facilitate subsequent data query. Preferably, the memory comprises a first database and a second database, the first database is used for storing the product quality detection report and the related parameter data. The second database is used for storing the yield data of the product.
The beneficial effect of this application is as follows:
1. the method and the device analyze the cigarette quality inspection data and obtain the quality detection report, the data precision is high, the report is clear, and the follow-up production work of the cigarettes is conveniently improved.
2. According to the method and the device, data acquisition of actual yield and data comparison of target yield are performed, and the data are displayed in a chart mode, so that the definition degree is high, and good conditions are created for production improvement of subsequent cigarette products.
3. This application carries out environment and personnel's monitoring to the workshop, has guaranteed the standardization and the quality of cigarette production, has also improved the security of production simultaneously.
Although some specific embodiments of the present application have been described in detail by way of example, it should be understood by those skilled in the art that the above examples are for illustrative purposes only and are not intended to limit the scope of the present application. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present application. The scope of the application is defined by the appended claims.

Claims (9)

1. A production condition monitoring system is characterized by comprising a central processing unit and a product quality monitoring subsystem;
the product quality monitoring subsystem comprises a product detection module, a data analysis module, a classification statistical module and a product quality detection report generation module;
the product detection module is used for collecting at least one detection parameter of at least one batch of products;
the data analysis module is used for comparing the detection parameters of each product with corresponding standard parameters to obtain a detection result about whether the product is qualified or not;
the classification statistical module is used for counting the qualified product quantity and the unqualified product quantity;
the product quality detection report generation module is used for generating a product quality detection report according to the qualified product quantity and the unqualified product quantity;
the central processing unit is connected with the product quality monitoring subsystem and is used for receiving the product quality detection report.
2. The system for monitoring production conditions of claim 1, further comprising a production data input module, an extraction module and a chart generation module;
the product data input module is used for inputting a target yield and an actual yield to the central processing unit;
the extracting module is used for extracting the target yield and the actual yield from the central processor;
the chart generation module is used for making a yield comparison chart according to the target yield and the actual yield extracted by the extraction module, and sending the yield comparison chart to the central processing unit.
3. The system for monitoring production conditions of claim 2, further comprising an environmental data collection subsystem, wherein the environmental data collection subsystem is connected to the central processor, and the environmental data collection subsystem is configured to collect parameters of the production environment as environmental data.
4. A system for monitoring the condition of a process according to claim 3, wherein the environmental data collection subsystem comprises a temperature and humidity sensor, a combustible gas sensor, a smoke sensor and/or a light sensitive sensor.
5. A monitoring system for production conditions according to claim 3, further comprising an intelligent analysis module and an alarm;
the intelligent analysis module is used for extracting the environment data from the central processing unit and analyzing the alarm condition of the environment data;
if the alarm exists, the intelligent analysis module sends the alarm to a central processing unit, and the central processing unit sends an alarm signal to the alarm.
6. The monitoring system for the production condition according to claim 5, further comprising a personnel monitoring subsystem, wherein the personnel monitoring subsystem is connected with the central processing unit and is used for monitoring field behavior data of workers;
and the number of the first and second electrodes,
the intelligent analysis module is also used for extracting the field behavior data from the central processing unit and carrying out abnormal behavior analysis on the field behavior data;
and if the abnormal behavior exists, the intelligent analysis module sends the abnormal behavior to a central processing unit, and the central processing unit sends an alarm signal to the alarm.
7. A monitoring system for production conditions according to claim 6, characterised in that the people monitoring subsystem comprises an infrared sensor, a high definition camera and/or a sound sensor.
8. The system for monitoring production conditions of claim 5, further comprising an acquisition center connected to said central processor via a wireless transmission module, said acquisition center being configured to acquire said product quality inspection report, said yield comparison chart and/or said environmental data.
9. The system for monitoring the condition of production of claim 2 further comprising a memory for storing the product quality inspection report, the target production volume and the actual production volume.
CN202110853074.XA 2021-07-27 2021-07-27 Production condition monitoring system Pending CN113671911A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110853074.XA CN113671911A (en) 2021-07-27 2021-07-27 Production condition monitoring system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110853074.XA CN113671911A (en) 2021-07-27 2021-07-27 Production condition monitoring system

Publications (1)

Publication Number Publication Date
CN113671911A true CN113671911A (en) 2021-11-19

Family

ID=78540523

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110853074.XA Pending CN113671911A (en) 2021-07-27 2021-07-27 Production condition monitoring system

Country Status (1)

Country Link
CN (1) CN113671911A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114580950A (en) * 2022-03-15 2022-06-03 再发现(北京)科技有限公司 Intelligent management method and system for quality of assembly line
CN115437535A (en) * 2022-11-08 2022-12-06 北京德风新征程科技有限公司 Data processing method, device, equipment and medium for tobacco shred manufacturing workshop

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765322A (en) * 2014-01-02 2015-07-08 齐齐哈尔轨道交通装备有限责任公司 Production line monitoring system
CN107704988A (en) * 2017-08-24 2018-02-16 北京融通智慧科技有限公司 The building site technical management system of power network wisdom building site control platform
CN110034964A (en) * 2019-05-06 2019-07-19 广西壮族自治区基础地理信息中心 CORS data quality checking and early warning system based on TEQC
CN110209141A (en) * 2019-07-12 2019-09-06 青海盐湖工业股份有限公司 A kind of quality testing management system
CN112258012A (en) * 2020-10-16 2021-01-22 南京专注智能科技有限公司 Comprehensive quality management platform for cigarette production

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104765322A (en) * 2014-01-02 2015-07-08 齐齐哈尔轨道交通装备有限责任公司 Production line monitoring system
CN107704988A (en) * 2017-08-24 2018-02-16 北京融通智慧科技有限公司 The building site technical management system of power network wisdom building site control platform
CN110034964A (en) * 2019-05-06 2019-07-19 广西壮族自治区基础地理信息中心 CORS data quality checking and early warning system based on TEQC
CN110209141A (en) * 2019-07-12 2019-09-06 青海盐湖工业股份有限公司 A kind of quality testing management system
CN112258012A (en) * 2020-10-16 2021-01-22 南京专注智能科技有限公司 Comprehensive quality management platform for cigarette production

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114580950A (en) * 2022-03-15 2022-06-03 再发现(北京)科技有限公司 Intelligent management method and system for quality of assembly line
CN115437535A (en) * 2022-11-08 2022-12-06 北京德风新征程科技有限公司 Data processing method, device, equipment and medium for tobacco shred manufacturing workshop
CN115437535B (en) * 2022-11-08 2023-09-12 北京德风新征程科技股份有限公司 Data processing method, device, equipment and medium for tobacco shredding workshop

Similar Documents

Publication Publication Date Title
CN110366031B (en) Vision-based abnormal state monitoring and fault diagnosis method for MES (manufacturing execution system) of digital workshop
CN112925279A (en) Fault comprehensive analysis system based on MES system
CN113671911A (en) Production condition monitoring system
CN110705834B (en) Industrial and mining enterprise dangerous state identification method
CN111080775A (en) Server routing inspection method and system based on artificial intelligence
CN115077627B (en) Multi-fusion environmental data supervision method and supervision system
CN117309065B (en) Unmanned aerial vehicle-based remote monitoring method and system for converter station
CN116245420A (en) Production management system and management method
CN112185086B (en) Grain depot safety early warning system based on deviation analysis
CN109051104A (en) A kind of bottle placer operating status intelligent Detection and method
CN114137302A (en) Monitoring system for whole verification process of electric energy metering device
CN114244866A (en) Production equipment supervisory systems based on thing networking
CN116665401A (en) Accident prevention alarm system for chemical production
CN115356970A (en) Dynamic loop monitoring system and method based on real-time data and operation and maintenance data
CN117289745B (en) Operation monitoring method for digital power distribution room
CN117785854A (en) Equipment monitoring management method and system based on equipment data interaction
CN117478830A (en) Equipment state management system and equipment state management method based on video monitoring
CN112200988A (en) Safety management system for industrial Internet of things data acquisition terminal
CN112235741A (en) Patrol and examine robot workshop state detecting system based on degree of depth learning
CN111667391A (en) Environment-friendly big data monitoring system
CN110266811B (en) Workshop abnormal information pushing device and method based on MQTT technology
CN115933477A (en) Centralized display system for production state of storage battery
CN114554156A (en) Industrial production safety management platform based on Internet of things
CN118034210A (en) Device and method for acquiring data in production process of cigarette products
CN111949125A (en) Site operation panoramic perception management system based on knowledge graph

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: 20211119