CN117314025A - Cable production process information system based on Internet of things - Google Patents
Cable production process information system based on Internet of things Download PDFInfo
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Abstract
The invention relates to the field of cable production, in particular to a cable production process information system based on the Internet of things, which comprises a service server, a production information management database, a cable production process information system, a digital terminal and production equipment, wherein the service server is used for storing production information of the cable production process information system; the business server is used for processing various enterprise businesses; the production information management database is used for storing various data related to cable production; the cable production process information system is used for generating a process file; the digital terminal is used for displaying the process file and receiving the instructions of the staff; the production equipment is used for producing the cable. The method and the device can judge the signals sent by the retrieval unit through the judgment unit, can know whether the process data in the production information management database meets the requirements, can generate corresponding process files or expansion process files according to the process data, and can supplement the process data in the production information management database when needed.
Description
Technical Field
The invention relates to the field of cable production, in particular to a cable production process information system based on the Internet of things.
Background
In conventional cable production processes, monitoring and control is often decentralized, relying on manual inspection and periodic maintenance. And the introduction of the Internet of things technology can realize real-time monitoring and automatic adjustment of the production process, so that the production efficiency and the product quality are improved.
The utility model discloses a cable processing manufacturing real-time monitoring system based on thing networking as the prior art of CN116839682A relates to cable processing control technical field, and this system is through real-time acquisition sensor data and image information to detect temperature anomaly, including temperature, humidity, tension, pressure value and the vibration value of exerting on the cable, the humidity difference around the cable insulation.
Another typical cable production quality data management system based on big data of the internet of things as disclosed in the prior art of CN115983721 a. The system obtains production quality data and quality standard range of each process based on big data of the Internet of things; acquiring the quality grade of each cable according to the production quality data; obtaining a deviation factor of production quality data by using an LOF algorithm, and obtaining a deviation index of a target process according to the deviation factor; obtaining a cluster according to the deviation factor; acquiring quality difference indexes of a target process according to the numerical distribution of production quality data in the cluster; acquiring an outlier index according to the deviation index and the quality difference index, adjusting outlier density in an LOF algorithm according to the outlier index, and determining a quality improvement value of a target process according to an optimal deviation factor; and adjusting the quality standard range of the target process according to the quality improvement value.
Looking at a cable production process real-time monitoring system based on the Internet of things, which is disclosed in the prior art of CN111680578A, the cable production system relates to the field of cable production, and a monitoring display screen is used for displaying monitoring pictures in cable production, including real-time monitoring in factories and real-time monitoring of machine operation data; and the wire drawing module is used for drawing and forming wires in the cable.
At present, most cable enterprises have tens of technological files to guide production in the production process of products, and paper technological files bring a plurality of inconveniences, such as difficulty in finding corresponding technological files in the order production process by staff, and the like.
Disclosure of Invention
The invention aims to provide a cable production process information system based on the Internet of things, aiming at the defects existing at present.
In order to overcome the defects in the prior art, the invention adopts the following technical scheme:
the cable production process information system based on the Internet of things comprises a service server, a production information management database, a cable production process information system, a digital terminal and production equipment; the business server is used for processing various enterprise businesses; the production information management database is used for storing various data related to cable production; the cable production process information system is used for generating a process file; the digital terminal is used for displaying the process file and receiving the instructions of the staff; the production equipment is used for producing cables;
the business server comprises an ERP system, an MES system and a business database, wherein the ERP system is used for managing customer orders, the MES system is used for managing production workshops, the business database is used for storing business data, and the business database is respectively in data intercommunication with the ERP system, the MES system and the production information management database.
Further, the cable production process information system comprises a production task analysis module, a retrieval module, a process file generation module, a process condition analysis module and a communication module; the production task analysis module is used for analyzing production tasks selected by workers; the retrieval module is used for retrieving corresponding process data in the production information management database according to the analysis result of the production task analysis module; the process file generation module is used for generating a process file according to the retrieval result of the retrieval module; the process condition analysis module is used for analyzing the time consumption and the material preparation condition of the process corresponding to the process piece; the communication module is used for communicating with the digital terminal.
Further, the analysis content of the analysis module comprises an identification unit and a process standard acquisition unit, wherein the identification unit is used for identifying content related to the process standard of the cable in the production task, and the process standard acquisition unit is used for acquiring specific content of each process standard according to the identification result of the identification unit, and the specific content comprises the model number of the cable, the performance of the cable and the size of the cable.
Further, the process file generating module comprises a judging unit, a process file template, a process file expansion template, a search command generating unit and a process content filling unit, wherein the judging unit is used for judging whether a signal received by the process file generating module is a search completion signal or a search incompletion signal; the process file template is used for generating a process file; the process file expansion template is used for generating an expansion process file; the search command generating unit is used for generating a re-search command to the search module; the process content filling unit is used for inputting the content retrieved by the retrieval module into the process file module and the process file expansion template.
Further, the workflow of the cable production process information system comprises the following steps:
s1, a worker selects a production task to be executed on a digital terminal;
s2, an analysis module identifies a process standard;
s3, the retrieval module retrieves process data corresponding to the process standard in the production information management database and sends a corresponding signal to the process file generation module;
s4, the process file generation module generates a corresponding process file according to the search result;
s5, the process condition analysis module analyzes the time consumption and the material preparation condition of the process corresponding to the process file;
and S6, the communication module is communicated with the digital terminal, and the process file generated by the process file generation module and the analysis result of the process condition analysis module are displayed on the terminal.
Further, the process file generating module generates a corresponding process file including the following steps:
s41, judging whether the signal sent by the searching unit is a searching completion signal or a searching incompletion signal, if the signal is the searching completion signal, executing S42, and if the signal is the searching incompletion signal, executing S43;
s42, the process content filling unit fills the process data retrieved by the retrieval module into the process file template, so as to generate a process file;
s43, the search command generating unit generates a re-search command to the search module;
s44, the retrieval module retrieves the process data of the similar process standard closest to the process standard according to the re-retrieval command and sends the process data to the process file generation module;
s45, the process content filling unit fills the process data of the similar process standard retrieved by the retrieval module into the expanding process file template, so as to generate an expanding process file.
Still further, the retrieving module retrieving process data of a similar process standard closest to the process standard comprises the steps of:
s441, all standard indexes in the process standard are obtained and classified into numerical standard indexes and non-numerical standard indexes;
s442, obtaining process data of all indexes with highest similarity with non-numerical standard indexes in a production information management database through a text similarity algorithm;
s443, obtaining process data of all indexes closest to the numerical standard indexes in the production information management database through a difference algorithm;
s444, the process data corresponding to the numerical standard index and the non-numerical standard index are packaged and sent to a process file generation module.
Further, the process condition analysis module analyzes the material preparation condition of the process corresponding to the process file, including the following steps:
s511, acquiring a production workshop selected by a worker according to the production task selected by the worker;
s512, extracting the residual amounts of various raw materials in the production workshop from the MES system;
s513, extracting an available resource matrix with the size of 2*M from the MES system:
[]
wherein M is the number of available resource types of all workshops,total stock of raw materials numbered 1, < >>Total stock of raw materials numbered M;
s514, generating an Available matrix with the size of 2*M according to the extraction result from the MES system:
[]
wherein,for the stock of raw material number 1 in the production plant,/-for>Stock of raw material numbered 1 in the production plant;
s515, generating a Need matrix with the size of 2*M according to the process file:
[]
wherein,is the demand for raw material number 1 in the process file, +.>The demand for raw materials numbered M in the process file;
s516, generating a material demand matrix D according to the following formula;
D=[]
wherein MAX is a maximum function;
s517, removing columns comprising 0 in the D, and regenerating the matrix to obtain a simplified material demand matrix NEOD, and outputting NEOD to a material demand template to obtain an analysis result.
The beneficial effects obtained by the invention are as follows: 1. the judgment unit is used for judging the signals sent by the retrieval unit, so that whether the process data in the production information management database meets the requirements can be known, corresponding process files or extended process files can be generated, the process files can be successfully acquired by workers, and meanwhile, the process data in the production information management database can be supplemented when needed.
2. The process condition analysis module is used for analyzing the material preparation condition of the process corresponding to the process file, so that whether the materials in the workshop are enough or not can be known, and the materials can be timely delivered when the materials are insufficient, and the process condition analysis module is also beneficial to workers to change production tasks according to whether the materials are sufficient or not.
Drawings
The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate like parts in the different views.
Fig. 1 is a schematic structural view of the present invention.
Fig. 2 is a flow chart of the operation of the present invention.
FIG. 3 is a flowchart illustrating the process file generation module of the present invention.
Fig. 4 is a flowchart illustrating the operation of the second embodiment of the present invention.
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 intended to be drawn to actual dimensions. The following embodiments will further illustrate the related art content of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: according to fig. 1, 2 and 3, the present embodiment provides a cable production process information system based on the internet of things, including a service server, a production information management database, a cable production process information system, a digital terminal and production equipment; the business server is used for processing various enterprise businesses; the production information management database is used for storing various data related to cable production; the cable production process information system is used for generating a process file; the digital terminal is used for displaying the process file and receiving the instructions of the staff; the production equipment is used for producing cables;
the business server comprises an ERP system, an MES system and a business database, wherein the ERP system is used for managing customer orders, the MES system is used for managing production workshops, the business database is used for storing business data, and the business database is respectively in data intercommunication with the ERP system, the MES system and the production information management database.
Further, the cable production process information system comprises a production task analysis module, a retrieval module, a process file generation module, a process condition analysis module and a communication module; the production task analysis module is used for analyzing production tasks selected by workers; the retrieval module is used for retrieving corresponding process data in the production information management database according to the analysis result of the production task analysis module; the process file generation module is used for generating a process file according to the retrieval result of the retrieval module; the process condition analysis module is used for analyzing the time consumption and the material preparation condition of the process corresponding to the process piece; the communication module is used for communicating with the digital terminal.
Further, the analysis content of the analysis module comprises an identification unit and a process standard acquisition unit, wherein the identification unit is used for identifying content related to the process standard of the cable in the production task, and the process standard acquisition unit is used for acquiring specific content of each process standard according to the identification result of the identification unit, and the specific content comprises the model number of the cable, the performance of the cable and the size of the cable.
In particular, the types of the cables include, but are not limited to, materials of the respective structures of the cables, the performances of the cables include, but are not limited to, the maximum operating voltage and the breakdown voltage of the cables, and the sizes of the cables include, but are not limited to, the thickness of each layer of the cables.
Further, the process file generating module comprises a judging unit, a process file template, a process file expansion template, a search command generating unit and a process content filling unit, wherein the judging unit is used for judging whether a signal received by the process file generating module is a search completion signal or a search incompletion signal; the process file template is used for generating a process file; the process file expansion template is used for generating an expansion process file; the search command generating unit is used for generating a re-search command to the search module; the process content filling unit is used for inputting the content retrieved by the retrieval module into the process file module and the process file expansion template.
Specifically, when the search module can search the production process corresponding to the process standard provided by the analysis module, the search module sends search contents and search completion signals to the process file generation module, and if the search module fails to search the related process, the search module sends search incompletion signals to the process file generation module.
Further, the workflow of the cable production process information system comprises the following steps:
s1, a worker selects a production task to be executed on a digital terminal;
s2, an analysis module identifies a process standard;
s3, the retrieval module retrieves process data corresponding to the process standard in the production information management database and sends a corresponding signal to the process file generation module;
s4, the process file generation module generates a corresponding process file according to the search result;
s5, the process condition analysis module analyzes the time consumption and the material preparation condition of the process corresponding to the process file;
and S6, the communication module is communicated with the digital terminal, and the process file generated by the process file generation module and the analysis result of the process condition analysis module are displayed on the terminal.
Specifically, the process standard refers to parameters related to the cable itself, such as maximum operating voltage, inner insulation layer material, inner insulation layer thickness, etc.; process data refers to the flows of the related processes capable of achieving the process standard, and equipment and set parameters of the equipment required in each flow, etc.
Specifically, the staff can select whether the current production task is still executed or not according to the analysis result of the process condition analysis module, if not, the staff returns to S1 and reselects the production task.
Further, the process file generating module generates a corresponding process file including the following steps:
s41, judging whether the signal sent by the searching unit is a searching completion signal or a searching incompletion signal, if the signal is the searching completion signal, executing S42, and if the signal is the searching incompletion signal, executing S43;
s42, the process content filling unit fills the process data retrieved by the retrieval module into the process file template, so as to generate a process file;
s43, the search command generating unit generates a re-search command to the search module;
s44, the retrieval module retrieves the process data of the similar process standard closest to the process standard according to the re-retrieval command and sends the process data to the process file generation module;
s45, the process content filling unit fills the process data of the similar process standard retrieved by the retrieval module into the expanding process file template, so as to generate an expanding process file.
Specifically, a worker can perform trial production on the cable by acquiring the expanding process file, perform trial production according to the process data of the similar process standard, continuously adjust the process data and the process in the trial production process, thereby communicating the process data conforming to the process standard, and store the process data in the production information management database. Through the operation, even if the production information management database does not have the process data corresponding to the process standard, the smooth proceeding of the production process can be ensured, and meanwhile, the data support is provided for the next production.
Still further, the retrieving module retrieving process data of a similar process standard closest to the process standard comprises the steps of:
s441, all standard indexes in the process standard are obtained and classified into numerical standard indexes and non-numerical standard indexes;
s442, obtaining process data of all indexes with highest similarity with non-numerical standard indexes in a production information management database through a text similarity algorithm;
specifically, the text similarity algorithm performs semantic analysis on the text to obtain the similarity of two text segments, such as materials in a non-numerical standard index: the method comprises the steps that high-pressure crosslinked polyethylene and a text similarity algorithm can obtain the material name closest to the high-pressure crosslinked polyethylene in polyethylene materials in a production information management database, so that process data of an index with the highest similarity with the high-pressure crosslinked polyethylene are obtained;
s443, obtaining process data of all indexes closest to the numerical standard indexes in the production information management database through a difference algorithm;
specifically, the difference algorithm calculates the absolute value of the difference between two numerical values, so as to obtain the process data of the index closest to the numerical standard index;
s444, the process data corresponding to the numerical standard index and the non-numerical standard index are packaged and sent to a process file generation module.
Further, the process condition analysis module analyzes the material preparation condition of the process corresponding to the process file, including the following steps:
s511, acquiring a production workshop selected by a worker according to the production task selected by the worker;
s512, extracting the residual amounts of various raw materials in the production workshop from the MES system;
s513, extracting an available resource matrix with the size of 2*M from the MES system:
[]
wherein M is the number of available resource types of all workshops,total stock of raw materials numbered 1, < >>Total stock of raw materials numbered M;
specifically, the numbering of the raw materials is set by a person skilled in the art and is saved in a numbering protocol;
s514, generating an Available matrix with the size of 2*M according to the extraction result from the MES system:
[]
wherein,for the stock of raw material number 1 in the production plant,/-for>Stock of raw material numbered 1 in the production plant;
specifically, if a certain raw material is not included in the production plant, the stock corresponding to the raw material is displayed as 0 in the matrix.
S515, generating a Need matrix with the size of 2*M according to the process file:
[]
wherein,is the demand for raw material number 1 in the process file, +.>The demand for raw materials numbered M in the process file;
s516, generating a material demand matrix D according to the following formula;
D=[]
wherein MAX is a maximum function;
s517, removing columns comprising 0 in the D, and regenerating the matrix to obtain a simplified material demand matrix NEOD, and outputting NEOD to a material demand template to obtain an analysis result.
Specifically, the material requirement template, the process file template and the extended process file template are set by those skilled in the art.
The method has the advantages that the judging unit judges the signals sent by the searching unit, so that whether the process data in the production information management database meets the requirements can be known, corresponding process files or expansion process files are generated, the process files can be successfully acquired by workers, and meanwhile, the process data in the production information management database can be supplemented when needed; in addition, the process condition analysis module is used for analyzing the material preparation condition of the process corresponding to the process file, so that whether the materials in the workshop are enough or not can be known, and the materials can be timely delivered when the materials are insufficient, and the process is also beneficial to workers to change the production task according to whether the materials are sufficient or not.
Embodiment two: this embodiment should be understood to include all the features of any one of the foregoing embodiments, and be further modified based thereon, according to fig. 4, in that the process condition analysis module analyzes the time consumption of the process corresponding to the process file, including the following steps:
s521, identifying the process file and obtaining the process steps in the process file;
s522, screening independent processes and non-independent processes according to the labels of the process steps;
specifically, the process file template comprises a process step label, wherein the process step label is divided into an independent process and a non-independent process, the independent process refers to a process which can be independently executed and does not need to finish the pre-process, and the non-independent process refers to a process which cannot be independently executed and does not need to finish the pre-process;
s523, obtaining the implementation time of each independent process and each non-independent process according to the following formula:
X=；
Y=；
wherein X is the implementation time of the independent process, Y is the implementation time of the dependent process,the working time required for the i-th equipment required for the independent process to complete one process, +.>The number of the current to-be-completed processes of the ith equipment required to be used for the independent process, I is the total number of the equipment required to complete the independent process, J is the total number of the equipment required to complete the non-independent process, (-)>The working time required for completing one process for the j-th equipment required for the non-independent process,/->The number of the current processes to be completed of the j-th equipment required to be used for the non-independent process;
specifically, the number of the to-be-completed processes refers to the number of the process tasks to be executed, which are scheduled by other staff members of the equipment;
s524, judging the values of SUMX and MAXY, and selecting the larger value as the time consumption of the process corresponding to the process file;
specifically, SUMX is the sum of X for each independent process, and MAXY is the maximum between Y for each independent process.
The beneficial effects of this embodiment are: the time consumption of the process corresponding to the process file is obtained through calculation, a worker can compare the time consumption of the process in different process files, know the time required by executing different production tasks, and can better conduct time planning by comparing the time required by different production tasks, and select or replace the production task to be executed according to own requirements.
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 applying the description of the present invention and the accompanying drawings are included in the scope of the present invention, and in addition, elements in the present invention can be updated as the technology develops. The above units are only examples, and those skilled in the art can implement the present embodiment according to actual requirements to implement different designs to adopt corresponding units.
Claims (8)
1. The cable production process information system based on the Internet of things is characterized by comprising a service server, a production information management database, a cable production process information system, a digital terminal and production equipment; the business server is used for processing various enterprise businesses; the production information management database is used for storing various data related to cable production; the cable production process information system is used for generating a process file; the digital terminal is used for displaying the process file and receiving the instructions of the staff; the production equipment is used for producing cables;
the business server comprises an ERP system, an MES system and a business database, wherein the ERP system is used for managing customer orders, the MES system is used for managing production workshops, the business database is used for storing business data, and the business database is respectively in data intercommunication with the ERP system, the MES system and the production information management database.
2. The cable production process information system based on the internet of things according to claim 1, wherein the cable production process information system comprises a production task analysis module, a retrieval module, a process file generation module, a process condition analysis module and a communication module; the production task analysis module is used for analyzing production tasks selected by workers; the retrieval module is used for retrieving corresponding process data in the production information management database according to the analysis result of the production task analysis module; the process file generation module is used for generating a process file according to the retrieval result of the retrieval module; the process condition analysis module is used for analyzing the time consumption and the material preparation condition of the process corresponding to the process piece; the communication module is used for communicating with the digital terminal.
3. The system of claim 2, wherein the analysis content of the analysis module comprises an identification unit and a process standard acquisition unit, the identification unit is used for identifying content related to a process standard of the cable in a production task, and the process standard acquisition unit is used for acquiring specific content of each process standard according to the identification result of the identification unit, wherein the specific content comprises a model of the cable, performance of the cable and size of the cable.
4. The system of claim 3, wherein the process file generating module comprises a judging unit, a process file template, a process file expansion template, a search command generating unit and a process content filling unit, and the judging unit is used for judging whether the signal received by the process file generating module is a search completion signal or a search incompletion signal; the process file template is used for generating a process file; the process file expansion template is used for generating an expansion process file; the search command generating unit is used for generating a re-search command to the search module; the process content filling unit is used for inputting the content retrieved by the retrieval module into the process file module and the process file expansion template.
5. The cable production process information system based on the internet of things according to claim 4, wherein the workflow of the cable production process information system comprises the following steps:
s1, a worker selects a production task to be executed on a digital terminal;
s2, an analysis module identifies a process standard;
s3, the retrieval module retrieves process data corresponding to the process standard in the production information management database and sends a corresponding signal to the process file generation module;
s4, the process file generation module generates a corresponding process file according to the search result;
s5, the process condition analysis module analyzes the time consumption and the material preparation condition of the process corresponding to the process file;
and S6, the communication module is communicated with the digital terminal, and the process file generated by the process file generation module and the analysis result of the process condition analysis module are displayed on the terminal.
6. The system of claim 5, wherein the process file generating module generates the corresponding process file comprising the steps of:
s41, judging whether the signal sent by the searching unit is a searching completion signal or a searching incompletion signal, if the signal is the searching completion signal, executing S42, and if the signal is the searching incompletion signal, executing S43;
s42, the process content filling unit fills the process data retrieved by the retrieval module into the process file template, so as to generate a process file;
s43, the search command generating unit generates a re-search command to the search module;
s44, the retrieval module retrieves the process data of the similar process standard closest to the process standard according to the re-retrieval command and sends the process data to the process file generation module;
s45, the process content filling unit fills the process data of the similar process standard retrieved by the retrieval module into the expanding process file template, so as to generate an expanding process file.
7. The internet of things-based cable production process information system of claim 6, wherein the retrieval module retrieves process data of a similar process standard that is closest to the process standard, comprising the steps of:
s441, all standard indexes in the process standard are obtained and classified into numerical standard indexes and non-numerical standard indexes;
s442, obtaining process data of all indexes with highest similarity with non-numerical standard indexes in a production information management database through a text similarity algorithm;
s443, obtaining process data of all indexes closest to the numerical standard indexes in the production information management database through a difference algorithm;
s444, the process data corresponding to the numerical standard index and the non-numerical standard index are packaged and sent to a process file generation module.
8. The system of claim 7, wherein the process condition analysis module analyzes the material preparation condition of the process corresponding to the process file, and comprises the following steps:
s511, acquiring a production workshop selected by a worker according to the production task selected by the worker;
s512, extracting the residual amounts of various raw materials in the production workshop from the MES system;
s513, extracting an available resource matrix with the size of 2*M from the MES system:
[]
wherein M is the number of available resource types of all workshops,total stock of raw materials numbered 1, < >>Total stock of raw materials numbered M;
s514, generating an Available matrix with the size of 2*M according to the extraction result from the MES system:
[]
wherein,for the stock of raw material number 1 in the production plant,/-for>Stock of raw material numbered 1 in the production plant;
s515, generating a Need matrix with the size of 2*M according to the process file:
[]
wherein,is the demand for raw material number 1 in the process file, +.>The demand for raw materials numbered M in the process file;
s516, generating a material demand matrix D according to the following formula;
D=[]
wherein MAX is a maximum function;
s517, removing columns comprising 0 in the D, and regenerating the matrix to obtain a simplified material demand matrix NEOD, and outputting NEOD to a material demand template to obtain an analysis result.
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