CN116107283A - AI production management system based on human-computer interaction - Google Patents
AI production management system based on human-computer interaction Download PDFInfo
- Publication number
- CN116107283A CN116107283A CN202310393228.0A CN202310393228A CN116107283A CN 116107283 A CN116107283 A CN 116107283A CN 202310393228 A CN202310393228 A CN 202310393228A CN 116107283 A CN116107283 A CN 116107283A
- Authority
- CN
- China
- Prior art keywords
- data
- production
- module
- data processing
- production line
- 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.)
- Granted
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 216
- 230000003993 interaction Effects 0.000 title claims abstract description 75
- 238000012545 processing Methods 0.000 claims abstract description 98
- 238000011958 production data acquisition Methods 0.000 claims abstract description 13
- 238000007726 management method Methods 0.000 claims description 82
- 238000004364 calculation method Methods 0.000 claims description 22
- 230000002452 interceptive effect Effects 0.000 claims description 16
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 5
- 230000002950 deficient Effects 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 5
- 238000000034 method Methods 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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]
- G05B19/41885—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 modeling, simulation of the manufacturing 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32339—Object oriented modeling, design, analysis, implementation, simulation language
Abstract
The invention provides an AI production management system based on man-machine interaction, which comprises a production data acquisition terminal, an AI data processing terminal, an instruction management terminal, an emergency control terminal, an interaction information generation terminal and a man-machine interaction terminal; the production data acquisition terminal is used for acquiring equipment data, product data and production line data in the production process; the AI data processing terminal is used for carrying out AI data processing on the equipment data, the product data and the production line data to generate data processing information; the instruction management terminal is used for generating instruction information according to the data processing information; the emergency control terminal is used for carrying out emergency control on equipment in the production process according to the instruction information; the interaction information generating terminal is used for generating corresponding interaction information according to the instruction information; the man-machine interaction terminal is used for carrying out man-machine interaction with an operator and displaying interaction information. The invention has the effect of improving the management stability of the production management system.
Description
Technical Field
The invention relates to the technical field of artificial intelligence production equipment, in particular to an AI production management system based on man-machine interaction.
Background
Man-machine interaction refers to the process of information exchange between a person and a computer for completing a determined task in a certain interaction mode by using a certain dialogue language between the person and the computer. Artificial intelligence (Artificial Intelligence), abbreviated AI, is a new technical science for studying, developing theories, methods, techniques and application systems for simulating, extending and expanding human intelligence. The production management system is developed aiming at the production application of manufacturing enterprises, can help the enterprises to establish a standard accurate and instant production database, simultaneously realizes the integrated management work of easy, standard and fine production business and inventory business, improves the management efficiency, grasps timely, accurate and comprehensive production dynamics, and effectively controls the production process.
Many production management systems have been developed, and through extensive searching and reference, the prior art production management systems have been found to have production management systems as disclosed in publication nos. CN109739202B, CN100440092A, EP1416347A4, US20080046106A1, JP2020174184A, which generally include: a first system for controlling at least one production device to execute production instructions; a second system for monitoring a first mode of the production equipment or controlling the at least one production equipment to execute a second mode of the production instruction in real time, wherein when the first system is operating normally, the second system operates in the first mode and synchronizes production information in the first system; when the first system is interrupted, the second system is switched from the first mode to a second mode of operation. Because the management mode of the production management system is single, when the production management system is applied to different types of production lines, the situation of different management effects is easy to occur, and the defect of reduced management stability of the production management system is caused.
Disclosure of Invention
The invention aims to provide an AI production management system based on man-machine interaction aiming at the defects of the production management system.
The invention adopts the following technical scheme:
an AI production management system based on man-machine interaction comprises a production data acquisition terminal, an AI data processing terminal, an instruction management terminal, an emergency control terminal, an interaction information generation terminal and a man-machine interaction terminal;
the production data acquisition terminal is used for acquiring equipment data, product data and production line data in the production process; the AI data processing terminal is used for carrying out AI data processing on the equipment data, the product data and the production line data to generate data processing information;
the instruction management terminal is used for generating instruction information according to the data processing information; the emergency control terminal is used for carrying out emergency control on equipment in the production process according to the instruction information; the interactive information generating terminal is used for generating corresponding interactive information according to the instruction information; the man-machine interaction terminal is used for carrying out man-machine interaction with an operator and displaying interaction information.
Optionally, the production data acquisition terminal comprises an equipment data acquisition module, a product data acquisition module and a production line data acquisition module; the equipment data acquisition module is used for acquiring data of all equipment in the production process and generating equipment data; the product data acquisition module is used for carrying out data acquisition on the produced product to generate product data; the production line data acquisition module is used for carrying out data acquisition on the production speed and the production efficiency of the production line and generating production line data.
Optionally, the AI data processing terminal includes an equipment data processing module, a product data processing module, a production line data processing module and a data processing information generating module; the equipment data processing module is used for carrying out data processing on the equipment data and calculating the state indexes of all the equipment in the production process; the product data processing module is used for carrying out data processing on the product data and calculating the quality score of the product; the production line data processing module is used for carrying out data processing on production line data and calculating an efficiency index of the production line; the data processing information generation module is used for generating corresponding data processing information according to the state index, the quality score and the efficiency index.
Optionally, the instruction management terminal comprises an emergency instruction management module and an interactive instruction management module; the emergency instruction management module is used for generating corresponding emergency instructions according to the data processing information; the emergency instruction is used for controlling the emergency control terminal; the interactive instruction management module is used for generating corresponding interactive instructions according to the data processing information; the interaction instruction is used for controlling the interaction information generating terminal.
Optionally, the device data processing module includes a device data reading sub-module and a state index calculating sub-module; the equipment data reading sub-module is used for reading the equipment data of all the equipment; the state index calculation sub-module is used for calculating the state index of the equipment in the production process according to the equipment data of all the equipment;
when the state index calculation sub-module works, the following equation is satisfied:
wherein ,
a state index representing the equipment in the production process; />
Coefficient selection function representing a device based on operating current conditions；/>
The +.o among all devices representing the production process>
An operating temperature of the individual device greater than the reference temperature; />
The +.o among all devices representing the production process>
A reference temperature of the individual devices; />
Representing the total number of devices in the production process; />
Representing the average working time of all the devices in the production process;
when (when)
When the equipment state is abnormal in the production process; when->
When the equipment is in a normal state in the production process; />
The state index judgment threshold is set empirically by an administrator.
Optionally, the product data processing module comprises a product data reading sub-module and a quality score calculating sub-module; the product data reading submodule is used for reading product data of a product; the quality score calculating submodule is used for calculating the quality score of the product in the production process according to the product data;
when the quality score calculation sub-module calculates, the following equation is satisfied:
wherein ,
representing a quality score for the corresponding sampled sample; />
Representing the total number of samples sampled; />
Indicating the number of unacceptable samples in the sample; />
Indicating the%>
The interval duration of the occurrence interval of the unqualified samples; />
Indicating the total number of defective sample occurrence intervals during sampling, +.>
；/>
and />
Respectively representing a proportional weight coefficient and a mean weight coefficient, which are set by an administrator according to experience;
when (when)
When the quality score of the samples in the current batch is qualified; when->
When the quality score of the samples in the current batch is unqualified; />
The quality score judgment threshold is set empirically by an administrator.
Optionally, the production line data processing module comprises a production line data reading sub-module and an efficiency index calculating sub-module; the production line data reading submodule is used for reading production line data of a production line; the efficiency index calculation submodule is used for calculating the efficiency index of the corresponding production line according to the production line data;
when the efficiency index calculation sub-module calculates, the following equation is satisfied:
wherein ,
an efficiency index representing the production line; />
Representing a specified period +.>
Total number of products produced in the inner production line; />
Representing a specified period of time; />
Representing a specified period +.>
The number of unqualified products of the inner production line; />
and />
Representing different index value conversion coefficients, each of which is empirically set by an administrator;
when the efficiency index of the production line is
When the efficiency index of the current production line is unqualified; when the efficiency index of the production line is->
And when the efficiency index of the current production line is qualified.
An AI production management method based on man-machine interaction is applied to the AI production management system based on man-machine interaction, and the AI production management method comprises the following steps:
s1, collecting equipment data, product data and production line data in the production process;
s2, AI data processing is carried out on the equipment data, the product data and the production line data, and data processing information is generated;
s3, generating instruction information according to the data processing information;
s4, emergency control is carried out on equipment in the production process according to the instruction information;
s5, generating corresponding interaction information according to the instruction information;
s6, man-machine interaction is carried out, and interaction information is displayed.
The beneficial effects obtained by the invention are as follows:
1. the production data acquisition terminal, the AI data processing terminal, the instruction management terminal, the emergency control terminal, the interaction information generation terminal and the man-machine interaction terminal are arranged to facilitate data acquisition according to different types of production lines, instruction management is rapidly carried out in an AI data processing mode, emergency control is conveniently carried out according to specific conditions, the cooperation of the interaction information generation terminal and the man-machine interaction terminal is beneficial to optimizing man-machine interaction processes of staff and corresponding equipment, auxiliary management work is conveniently carried out by the staff better, and therefore management stability of an AI production management system is improved;
2. the equipment data acquisition module, the product data acquisition module and the production line data acquisition module are arranged to be beneficial to data acquisition of different types of production lines, and the adaptability of the production management system is improved in a multi-dimensional data acquisition mode, so that the management stability of the AI production management system is improved;
3. the equipment data processing module, the product data processing module, the production line data processing module and the data processing information generation module are arranged to facilitate multidimensional management through calculating the state index, the quality score and the efficiency index so as to conveniently and accurately generate data processing information, thereby improving the accuracy of the data processing information and the management stability of the AI production management system;
4. the emergency command management module and the interaction command management module are arranged to be beneficial to generating accurate emergency commands and interaction commands according to data processing information, so that the interaction control is finished while the emergency control is performed, the management effect is improved, and the management stability of the AI production management system is improved;
5. the equipment data reading sub-module and the state index calculating sub-module are matched with a state index algorithm, so that the equipment data can be more reasonably utilized, the state index is more accurate, and the management stability of the AI production management system is improved;
6. the product data reading sub-module and the quality scoring computation sub-module are matched with a quality scoring algorithm, so that accuracy of quality scoring is improved; the production line data reading sub-module and the efficiency index calculation sub-module are matched with an efficiency index algorithm, so that the accuracy of the efficiency index is improved, and more accurate data processing information is generated by matching with an accurate state index, so that the management effect of the system is stronger and more accurate, and the management stability of the AI production management system is improved;
7. the human-computer interaction module, the staff operation time calculation module and the operation warning module are arranged in cooperation with a staff operation time algorithm, so that the staff operation index is calculated according to the operation type, the working age and the production line data of the production line of the staff, the adaptability and the accuracy of the staff operation time are improved, and the staff can be better assisted to manage.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic block diagram of a connection structure of the present invention;
FIG. 2 is a schematic diagram of the overall structure of the present invention;
FIG. 3 is a schematic flow chart of a method for AI production management based on human-computer interaction in the invention;
FIG. 4 is a schematic diagram of the overall structure of the man-machine interaction terminal according to the present invention;
reference numerals illustrate:
1. a production data acquisition terminal; 2. an AI data processing terminal; 3. an instruction management terminal; 4. an emergency control terminal; 5. an interactive information generating terminal; 6. and a man-machine interaction terminal.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not drawn to actual dimensions, and are stated in advance. The following embodiments will further illustrate the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: the embodiment provides an AI production management system based on man-machine interaction. Referring to fig. 1 and 2, an AI production management system based on man-machine interaction includes a production data acquisition terminal 1, an AI data processing terminal 2, an instruction management terminal 3, an emergency control terminal 4, an interaction information generation terminal 5, and a man-machine interaction terminal 6;
the production data acquisition terminal 1 is used for acquiring equipment data, product data and production line data in the production process; the AI data processing terminal 2 is used for carrying out AI data processing on the equipment data, the product data and the production line data to generate data processing information;
the instruction management terminal 3 is used for generating instruction information according to the data processing information; the emergency control terminal 4 is used for carrying out emergency control on equipment in the production process according to the instruction information; the interactive information generating terminal 5 is used for generating corresponding interactive information according to the instruction information; the man-machine interaction terminal 6 is used for carrying out man-machine interaction with an operator and displaying interaction information.
Optionally, the production data acquisition terminal 1 comprises an equipment data acquisition module, a product data acquisition module and a production line data acquisition module; the equipment data acquisition module is used for acquiring data of all equipment in the production process and generating equipment data; the product data acquisition module is used for carrying out data acquisition on the produced product to generate product data; the production line data acquisition module is used for carrying out data acquisition on the production speed and the production efficiency of the production line and generating production line data.
Optionally, the AI data processing terminal 2 includes an equipment data processing module, a product data processing module, a production line data processing module and a data processing information generating module; the equipment data processing module is used for carrying out data processing on the equipment data and calculating the state indexes of all the equipment in the production process; the product data processing module is used for carrying out data processing on the product data and calculating the quality score of the product; the production line data processing module is used for carrying out data processing on production line data and calculating an efficiency index of the production line; the data processing information generation module is used for generating corresponding data processing information according to the state index, the quality score and the efficiency index.
Optionally, the instruction management terminal 3 includes an emergency instruction management module and an interactive instruction management module; the emergency instruction management module is used for generating corresponding emergency instructions according to the data processing information; the emergency instruction is used for controlling the emergency control terminal; the interactive instruction management module is used for generating corresponding interactive instructions according to the data processing information; the interaction instruction is used for controlling the interaction information generating terminal.
Optionally, the device data processing module includes a device data reading sub-module and a state index calculating sub-module; the equipment data reading sub-module is used for reading the equipment data of all the equipment; the state index calculation sub-module is used for calculating the state index of the equipment in the production process according to the equipment data of all the equipment;
when the state index calculation sub-module works, the following equation is satisfied:
wherein ,
a state index representing the equipment in the production process; />
A coefficient selection function representing a condition based on the operating current of the device; />
The +.o among all devices representing the production process>
An operating temperature of the individual device greater than the reference temperature; />
The +.o among all devices representing the production process>
A reference temperature of the individual devices; />
Representing the total number of devices in the production process; />
Representing the average working time of all the devices in the production process;
when (when)
When the equipment state is abnormal in the production process; when->
When the equipment is in a normal state in the production process; />
The state index judgment threshold is set empirically by an administrator.
Optionally, the product data processing module comprises a product data reading sub-module and a quality score calculating sub-module; the product data reading submodule is used for reading product data of a product; the quality score calculating submodule is used for calculating the quality score of the product in the production process according to the product data;
when the quality score calculation sub-module calculates, the following equation is satisfied:
wherein ,
representing a quality score for the corresponding sampled sample; />
Representing the total number of samples sampled; />
Indicating the number of unacceptable samples in the sample; />
Indicating the%>
The interval duration of the occurrence interval of the unqualified samples; />
Indicating the total number of defective sample occurrence intervals during sampling, +.>
；/>
and />
Respectively representing a proportional weight coefficient and a mean weight coefficient, which are set by an administrator according to experience;
when (when)
When the quality score of the samples in the current batch is qualified; when->
When the quality score of the samples in the current batch is unqualified; />
The quality score judgment threshold is set empirically by an administrator.
Optionally, the production line data processing module comprises a production line data reading sub-module and an efficiency index calculating sub-module; the production line data reading submodule is used for reading production line data of a production line; the efficiency index calculation submodule is used for calculating the efficiency index of the corresponding production line according to the production line data;
when the efficiency index calculation sub-module calculates, the following equation is satisfied:
wherein ,
an efficiency index representing the production line; />
Representing a specified period +.>
Total number of products produced in the inner production line; />
Representing a specified period of time; />
Representing a specified period +.>
Product reject of inner lineA number of; />
and />
Representing different index value conversion coefficients, each of which is empirically set by an administrator;
when the efficiency index of the production line is
When the efficiency index of the current production line is unqualified; when the efficiency index of the production line is->
And when the efficiency index of the current production line is qualified.
It should be noted that, when any one of the state index, the quality score and the efficiency index in the data processing information fails, the instruction management terminal generates instruction information for driving the emergency control terminal to control the production line to enter a preset mode according to the data processing information; the preset mode is a production line working mode preset by an administrator, and the setting of the preset mode comprises a production speed adjustment setting and a staff number adjustment setting.
When the state index, the quality score and the efficiency index in the data processing information are all unqualified, the instruction management terminal generates instruction information for driving the emergency control terminal to control the production line to enter a stop state according to the data processing information.
An AI production management method based on man-machine interaction is applied to the AI production management system based on man-machine interaction, and is shown in fig. 3, and the AI production management method includes:
s1, collecting equipment data, product data and production line data in the production process;
s2, AI data processing is carried out on the equipment data, the product data and the production line data, and data processing information is generated;
s3, generating instruction information according to the data processing information;
s4, emergency control is carried out on equipment in the production process according to the instruction information;
s5, generating corresponding interaction information according to the instruction information;
s6, man-machine interaction is carried out, and interaction information is displayed.
Embodiment two: the embodiment includes the whole content of the first embodiment, and provides an AI production management system based on man-machine interaction, and referring to fig. 4, the man-machine interaction terminal includes a man-machine interaction module, a worker operation time calculation module and an operation warning module; the man-machine interaction module is used for carrying out man-machine interaction with an operator and displaying interaction information; the staff operation time calculation module is used for calculating the staff operation time according to the operation type, the working age and the production line data of the corresponding staff; the operation warning module is used for displaying corresponding warning information to the staff according to the operation time of the staff.
When the staff operation time calculation module calculates, the following formula is satisfied:
wherein ,
representing the operation time of a worker; />
Representing an adjustment coefficient selection function based on the operation type; />
Indicating the operation reference time of the staff; />
Representing the average working age of all staff responsible for the production line in the factory; />
Representing the working age of a worker responsible for a corresponding man-machine interaction module at a corresponding station; />
Conversion coefficients representing work age and duration; />
Representing a product reference production target number of a production line in a factory; />
Representing the number of product production targets in the current production task of the corresponding production line in the factory; />
Conversion coefficients representing the number of production targets and the duration; />
、/>
and />
Are set by an administrator according to experience; />
Representing the operation type of the staff; />
Representing a first type of operation; />
Representing a second type of operation; />
Representing a third type of operation; />
Representing operations of the fourth typePerforming type; the operations specifically corresponding to the first type operation type, the second type operation type, the third type operation type and the fourth type operation type are preset and matched by an administrator, generally, the administrator performs matching according to the difficulty of the operation types of the staff, the difficulty of the operation types of the staff corresponding to the first type operation type is the lowest, and the difficulty of the operation types of the staff corresponding to the fourth type operation type is the highest.
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by the application of the present invention and the accompanying drawings are included in the scope of the invention, and in addition, the elements in the invention can be updated with the technical development.
Claims (8)
1. The AI production management system based on man-machine interaction is characterized by comprising a production data acquisition terminal, an AI data processing terminal, an instruction management terminal, an emergency control terminal, an interaction information generation terminal and a man-machine interaction terminal;
the production data acquisition terminal is used for acquiring equipment data, product data and production line data in the production process; the AI data processing terminal is used for carrying out AI data processing on the equipment data, the product data and the production line data to generate data processing information;
the instruction management terminal is used for generating instruction information according to the data processing information; the emergency control terminal is used for carrying out emergency control on equipment in the production process according to the instruction information; the interactive information generating terminal is used for generating corresponding interactive information according to the instruction information; the man-machine interaction terminal is used for carrying out man-machine interaction with an operator and displaying interaction information.
2. The AI production management system based on human-computer interaction of claim 1, wherein the production data acquisition terminal comprises an equipment data acquisition module, a product data acquisition module and a production line data acquisition module; the equipment data acquisition module is used for acquiring data of all equipment in the production process and generating equipment data; the product data acquisition module is used for carrying out data acquisition on the produced product to generate product data; the production line data acquisition module is used for carrying out data acquisition on the production speed and the production efficiency of the production line and generating production line data.
3. The AI production management system based on man-machine interaction of claim 2, wherein the AI data processing terminal comprises a device data processing module, a product data processing module, a production line data processing module and a data processing information generating module; the equipment data processing module is used for carrying out data processing on the equipment data and calculating the state indexes of all the equipment in the production process; the product data processing module is used for carrying out data processing on the product data and calculating the quality score of the product; the production line data processing module is used for carrying out data processing on production line data and calculating an efficiency index of the production line; the data processing information generation module is used for generating corresponding data processing information according to the state index, the quality score and the efficiency index.
4. The AI production management system of claim 3 wherein the command management terminal includes an emergency command management module and an interactive command management module; the emergency instruction management module is used for generating corresponding emergency instructions according to the data processing information; the emergency instruction is used for controlling the emergency control terminal; the interactive instruction management module is used for generating corresponding interactive instructions according to the data processing information; the interaction instruction is used for controlling the interaction information generating terminal.
5. The AI production management system of claim 4, wherein the device data processing module includes a device data reading sub-module and a state index calculation sub-module; the equipment data reading sub-module is used for reading the equipment data of all the equipment; the state index calculation sub-module is used for calculating the state index of the equipment in the production process according to the equipment data of all the equipment;
when the state index calculation sub-module works, the following equation is satisfied:
wherein ,
a state index representing the equipment in the production process; />
A coefficient selection function representing a condition based on the operating current of the device; />
The +.o among all devices representing the production process>
An operating temperature of the individual device greater than the reference temperature; />
The +.o among all devices representing the production process>
A reference temperature of the individual devices; />
Representing the total number of devices in the production process; />
Representing the average working time of all the devices in the production process;
when (when)
When the equipment state is abnormal in the production process; when->
When the equipment is in a normal state in the production process; />
Representing a state index judgment threshold.
6. The AI production management system of claim 5 wherein the product data processing module includes a product data reading sub-module and a quality score computing sub-module; the product data reading submodule is used for reading product data of a product; the quality score calculating submodule is used for calculating the quality score of the product in the production process according to the product data;
when the quality score calculation sub-module calculates, the following equation is satisfied:
wherein ,
representing a quality score for the corresponding sampled sample; />
Representing the total number of samples sampled; />
Indicating the number of unacceptable samples in the sample; />
Indicating the%>
The interval duration of the occurrence interval of the unqualified samples; />
Indicating the total number of defective sample occurrence intervals during sampling, +.>
；/>
and />
Respectively representing a proportional weight coefficient and a mean weight coefficient;
when (when)
When the quality score of the samples in the current batch is qualified; when->
When the quality score of the samples in the current batch is unqualified; />
Representing a quality score judgment threshold.
7. The AI production management system of claim 6 wherein the production line data processing module includes a production line data reading sub-module and an efficiency index calculation sub-module; the production line data reading submodule is used for reading production line data of a production line; the efficiency index calculation submodule is used for calculating the efficiency index of the corresponding production line according to the production line data;
when the efficiency index calculation sub-module calculates, the following equation is satisfied:
wherein ,
an efficiency index representing the production line; />
Representing a specified period +.>
Total number of products produced in the inner production line; />
Representing a specified period of time; />
Representing a specified period +.>
The number of unqualified products of the inner production line; />
and />
Representing different index value conversion coefficients;
when the efficiency index of the production line is
When the efficiency index of the current production line is unqualified; when the efficiency index of the production line is->
And when the efficiency index of the current production line is qualified.
8. The AI production management method based on man-machine interaction, which is applied to the AI production management system based on man-machine interaction as claimed in claim 7, is characterized in that the AI production management method comprises the following steps:
s1, collecting equipment data, product data and production line data in the production process;
s2, AI data processing is carried out on the equipment data, the product data and the production line data, and data processing information is generated;
s3, generating instruction information according to the data processing information;
s4, emergency control is carried out on equipment in the production process according to the instruction information;
s5, generating corresponding interaction information according to the instruction information;
s6, man-machine interaction is carried out, and interaction information is displayed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310393228.0A CN116107283B (en) | 2023-04-13 | 2023-04-13 | AI production management system based on human-computer interaction |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310393228.0A CN116107283B (en) | 2023-04-13 | 2023-04-13 | AI production management system based on human-computer interaction |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116107283A true CN116107283A (en) | 2023-05-12 |
| CN116107283B CN116107283B (en) | 2023-06-09 |
Family
ID=86265931
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310393228.0A Active CN116107283B (en) | 2023-04-13 | 2023-04-13 | AI production management system based on human-computer interaction |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116107283B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117495203A (en) * | 2023-12-28 | 2024-02-02 | 南京中电科能技术有限公司 | Multi-target electric energy management method and system based on energy storage system |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102436238A (en) * | 2011-11-03 | 2012-05-02 | 广东轻工职业技术学院 | Data acquisition and information management system and acquisition method for production line |
| CN107682662A (en) * | 2017-09-01 | 2018-02-09 | 中车青岛四方机车车辆股份有限公司 | A kind of acquisition system for manufacturing data |
| US20180053124A1 (en) * | 2016-08-18 | 2018-02-22 | i Smart Technologies Corporation | Production management system, production management apparatus and production management method for manufacturing line |
| CN110045664A (en) * | 2019-05-21 | 2019-07-23 | 陕西青朗万城环保科技有限公司 | A kind of MW-LEP exhaust gas apparatus operating status online monitoring system and method |
| CN110989521A (en) * | 2019-11-30 | 2020-04-10 | 航天科技控股集团股份有限公司 | Intelligent management system for production line |
| CN111144700A (en) * | 2019-12-03 | 2020-05-12 | 中国五洲工程设计集团有限公司 | Safety monitoring and early warning system applied to dangerous chemical production |
| WO2020159066A1 (en) * | 2019-01-29 | 2020-08-06 | 호전실업 주식회사 | Method and system for optimizing manufacture and operation of garment manufacturing factory |
| US20210141366A1 (en) * | 2019-11-11 | 2021-05-13 | Jtekt Corporation | Factory management system |
| CN114065974A (en) * | 2021-11-29 | 2022-02-18 | 重庆允成互联网科技有限公司 | Intelligent management method and system for equipment |
| CN114089690A (en) * | 2021-10-25 | 2022-02-25 | 西北工业大学 | Edge computing device and method for workshop monitoring |
| CN115392534A (en) * | 2022-07-13 | 2022-11-25 | 广东工业大学 | FFM (fringe field model) -based workshop equipment comprehensive efficiency prediction method and system |
-
2023
- 2023-04-13 CN CN202310393228.0A patent/CN116107283B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102436238A (en) * | 2011-11-03 | 2012-05-02 | 广东轻工职业技术学院 | Data acquisition and information management system and acquisition method for production line |
| US20180053124A1 (en) * | 2016-08-18 | 2018-02-22 | i Smart Technologies Corporation | Production management system, production management apparatus and production management method for manufacturing line |
| CN107682662A (en) * | 2017-09-01 | 2018-02-09 | 中车青岛四方机车车辆股份有限公司 | A kind of acquisition system for manufacturing data |
| WO2020159066A1 (en) * | 2019-01-29 | 2020-08-06 | 호전실업 주식회사 | Method and system for optimizing manufacture and operation of garment manufacturing factory |
| CN110045664A (en) * | 2019-05-21 | 2019-07-23 | 陕西青朗万城环保科技有限公司 | A kind of MW-LEP exhaust gas apparatus operating status online monitoring system and method |
| US20210141366A1 (en) * | 2019-11-11 | 2021-05-13 | Jtekt Corporation | Factory management system |
| CN110989521A (en) * | 2019-11-30 | 2020-04-10 | 航天科技控股集团股份有限公司 | Intelligent management system for production line |
| CN111144700A (en) * | 2019-12-03 | 2020-05-12 | 中国五洲工程设计集团有限公司 | Safety monitoring and early warning system applied to dangerous chemical production |
| CN114089690A (en) * | 2021-10-25 | 2022-02-25 | 西北工业大学 | Edge computing device and method for workshop monitoring |
| CN114065974A (en) * | 2021-11-29 | 2022-02-18 | 重庆允成互联网科技有限公司 | Intelligent management method and system for equipment |
| CN115392534A (en) * | 2022-07-13 | 2022-11-25 | 广东工业大学 | FFM (fringe field model) -based workshop equipment comprehensive efficiency prediction method and system |
Non-Patent Citations (2)
| Title |
|---|
| 蒋研川 等: ""摩托车零部件企业集成化车间生产管理系统集成框架及实现技术"", 《重庆大学学报》, vol. 34, no. 8, pages 73 - 81 * |
| 赵开尧: ""不锈钢生产线能耗控制分析"", 《冶金经济与管理》, no. 5, pages 33 - 35 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117495203A (en) * | 2023-12-28 | 2024-02-02 | 南京中电科能技术有限公司 | Multi-target electric energy management method and system based on energy storage system |
| CN117495203B (en) * | 2023-12-28 | 2024-03-19 | 南京中电科能技术有限公司 | Multi-target electric energy management method and system based on energy storage system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116107283B (en) | 2023-06-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116107283B (en) | AI production management system based on human-computer interaction | |
| CN104700200B (en) | A kind of product multivariate quality monitoring method towards digitlization workshop | |
| CN110442911B (en) | High-dimensional complex system uncertainty analysis method based on statistical machine learning | |
| CN113084388B (en) | Welding quality detection method, system, device and storage medium | |
| CN116028887B (en) | Analysis method of continuous industrial production data | |
| CN115392037A (en) | Equipment fault prediction method, device, equipment and storage medium | |
| CN115438726A (en) | Device life and fault type prediction method and system based on digital twin technology | |
| CN101908190A (en) | Radar chart index expression method for analysis and evaluation on power market | |
| CN113485305A (en) | Aircraft outwork fault diagnosis system and method | |
| CN113112123A (en) | Aircraft avionics system fault diagnosis and evaluation method based on incidence matrix | |
| CN111737067A (en) | Hard disk fault prediction model interpretation method and device | |
| CN116561692A (en) | Dynamic update real-time measurement data detection method | |
| CN103439964B (en) | A kind of online updating system and method for OCSVM monitoring model | |
| CN116739147A (en) | BIM-based intelligent energy consumption management and dynamic carbon emission calculation combined method and system | |
| CN110766248A (en) | Workshop human factor reliability evaluation method based on SHEL and interval intuition fuzzy evaluation | |
| CN115575579A (en) | Carbon monitoring method and system based on monitoring source analysis | |
| CN113569358A (en) | Digital twin system model construction method oriented to product quality feedback | |
| CN109767062B (en) | Dynamic generation method of power grid task disposal scheme | |
| CN111428344B (en) | Construction method of degradation analysis model of electromechanical equipment of expressway | |
| CN114575942B (en) | Steam turbine operation and maintenance auxiliary system based on multidimensional decision diagram | |
| CN111210122B (en) | Parameter isolation-based sintering non-optimal operation performance reason tracing method and system | |
| CN117348631A (en) | Pulse control method of intelligent temperature control system | |
| CN116468205B (en) | Method and system for monitoring environment-friendly detection quality of motor vehicle | |
| US20240095589A1 (en) | Information processing device, information processing program, and information processing method | |
| CN116307407B (en) | Enterprise data visualization processing system and method based on cloud computing |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |