CN113793050A - Communication cabinet production line supervision system based on big data - Google Patents
Communication cabinet production line supervision system based on big data Download PDFInfo
- Publication number
- CN113793050A CN113793050A CN202111113973.2A CN202111113973A CN113793050A CN 113793050 A CN113793050 A CN 113793050A CN 202111113973 A CN202111113973 A CN 202111113973A CN 113793050 A CN113793050 A CN 113793050A
- Authority
- CN
- China
- Prior art keywords
- production line
- analysis
- production
- signal
- efficiency
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 336
- 238000004891 communication Methods 0.000 title claims abstract description 116
- 230000002159 abnormal effect Effects 0.000 claims abstract description 30
- 238000000034 method Methods 0.000 claims abstract description 22
- 238000004458 analytical method Methods 0.000 claims description 231
- 238000001514 detection method Methods 0.000 claims description 55
- 239000003973 paint Substances 0.000 claims description 7
- 239000010865 sewage Substances 0.000 claims description 7
- 238000005507 spraying Methods 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 6
- 238000012544 monitoring process Methods 0.000 claims description 3
- 239000002699 waste material Substances 0.000 abstract description 3
- 238000003891 environmental analysis Methods 0.000 description 5
- 238000012797 qualification Methods 0.000 description 4
- 238000012937 correction Methods 0.000 description 3
- 238000010606 normalization Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses a communication cabinet production line supervision system based on big data, which relates to the technical field of communication cabinet production line supervision, solves the technical problem of high supervision difficulty of a cabinet production line in the prior art, analyzes natural environment and equipment environment, judges whether the production line is influenced by environment or not, collects influence factors of the production line to facilitate the management and control of the production line, and can improve the production quality of a communication cabinet; the method has the advantages that the staff corresponding to the production abnormal signals are detected, the phenomenon that production of the production line is abnormal due to the fact that the staff are abnormal is prevented, production stability of the production line is improved, production of the production line is prevented from being abnormal, production cost waste is caused, rework is caused at the same time, and production progress is hindered; the pollution of each production line is analyzed, the pollution influence of the production lines is prevented from exceeding the standard, the rectification cost is increased, the production cost is increased, and the production efficiency of the production lines is indirectly reduced.
Description
Technical Field
The invention relates to the technical field of supervision of a production line of a communication cabinet, in particular to a supervision system of the production line of the communication cabinet based on big data.
Background
The communication cabinet is a cabinet used in communication, and the product is a cabinet shell processed by sheet metal equipment, the cabinet is used for providing space for power supply, mainboard, various expansion board cards, floppy disk drive, CD drive, hard disk drive and other storage devices, and the spare and accessory parts are firmly fixed in the cabinet through the support, bracket, various screws or clip and other connecting pieces in the cabinet to form an intensive whole;
however, in the prior art, the communication cabinet production line cannot be subjected to environmental analysis, and whether the production line is influenced by the environment or not cannot be determined, so that the management and control difficulty of the production line is increased; in addition, the detection personnel cannot be detected, so that the production stability of a production line is reduced, and the production progress is hindered; meanwhile, the pollution influence of a production line cannot be analyzed, so that the generation cost cannot be controlled, and the production efficiency is reduced;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide a communication cabinet production line supervision system based on big data, which analyzes natural environment and equipment environment to judge whether a production line is influenced by environment or not, collects influence factors of the production line to facilitate management and control of the production line and can improve the production quality of a communication cabinet; the method has the advantages that the staff corresponding to the production abnormal signals are detected, the phenomenon that production of the production line is abnormal due to the fact that the staff are abnormal is prevented, production stability of the production line is improved, production of the production line is prevented from being abnormal, production cost waste is caused, rework is caused at the same time, and production progress is hindered; the pollution of each production line is analyzed, the pollution influence of the production lines is prevented from exceeding the standard, the rectification cost is increased, the production cost is increased, and the production efficiency of the production lines is indirectly reduced.
The purpose of the invention can be realized by the following technical scheme:
a communication cabinet production line supervision system based on big data comprises a production line supervision platform, wherein a server is arranged in the production line supervision platform, and the server is in communication connection with an environment analysis unit, an efficiency detection unit, a personnel detection unit and an influence analysis unit;
the production line supervision platform is used for monitoring and managing a production line of the communication cabinet, the server generates an environment analysis signal and sends the environment analysis signal to the environment analysis unit, the environment analysis unit is used for analyzing the production line environment, generating an environment qualified signal and an environment unqualified signal through analysis, and sending the environment qualified signal and the environment unqualified signal to the server;
after receiving the environment qualified signal, the server generates an efficiency detection signal and sends the efficiency detection signal to an efficiency detection unit, wherein the efficiency detection unit is used for carrying out efficiency analysis on the production line which is qualified in environment; the server generates a personnel detection signal and sends the personnel detection signal to the personnel detection unit, and the personnel detection unit detects the staff corresponding to the production abnormal signal after receiving the personnel detection signal; the server generates an influence analysis signal and sends the influence analysis signal to the influence analysis unit, and the influence analysis unit is used for analyzing the pollution influence generated by the production line of the communication cabinet.
Further, the analysis process of the environment analysis unit is as follows:
marking the production line of the communication cabinet as i, wherein i is a natural number more than 1, acquiring the ambient temperature all-day average variation value and the ambient humidity all-day average variation value of the production line of the communication cabinet, and respectively marking the ambient temperature all-day average variation value and the ambient humidity all-day average variation value of the production line of the communication cabinet as WSPi and SSPi; acquiring a corresponding natural environment analysis coefficient Xi of a communication cabinet production line through analysis;
acquiring the time length of the production equipment in the communication cabinet production line in use and the time length of the production equipment in the communication cabinet production line in use, and respectively marking the time length of the production equipment in use and the time length of the production equipment in the communication cabinet production line in use as TRi and YXi; acquiring the frequency of the production equipment of the communication cabinet production line failing in the time length of putting into use and the frequency of the production equipment failing in the time length of operating, and respectively marking the frequency of the production equipment of the communication cabinet production line failing in the time length of putting into use and the frequency of the production equipment failing in the time length of operating as TPLi and GPLi; obtaining an environment analysis coefficient Zi of corresponding equipment of a communication cabinet production line through analysis;
analyzing a natural environment analysis coefficient Xi and an equipment environment analysis coefficient Zi corresponding to a communication cabinet production line, if the natural environment analysis coefficient Xi and the equipment environment analysis coefficient Zi corresponding to the communication cabinet production line are both smaller than corresponding thresholds, judging that the production line environment is qualified, generating an environment qualified signal and sending the environment qualified signal to a server; and if any value of the natural environment analysis coefficient Xi corresponding to the production line of the communication cabinet and the equipment environment analysis coefficient Zi is larger than or equal to the corresponding threshold value, judging that the production line environment is unqualified, generating an environment unqualified signal and sending the environment unqualified signal to the server.
Further, the efficiency analysis process of the efficiency detection unit is as follows:
marking the production line with qualified environment as an efficiency analysis production line, setting a mark o, wherein o is a natural number greater than 1, acquiring the number of communication cabinets corresponding to the historical order of the efficiency analysis production line and the order construction period, acquiring the production speed of the efficiency analysis production line according to the number of communication cabinets corresponding to the historical order of the efficiency analysis production line and the order construction period, marking the production speed as a speed threshold value, and setting a mark SCVo; acquiring the production speed of an efficiency analysis production line in real time, marking the production speed as a real-time speed, and setting a mark SSVo;
collecting the number of the communication cabinets finished being produced at the current moment, collecting the proportion of unqualified communication cabinets in the number of the communication cabinets finished being produced at the current moment, marking the proportion as the unqualified cabinet proportion, and setting a label ZBo;
carrying out efficiency analysis on the efficiency analysis production line, if the real-time speed is greater than a speed threshold value and the unqualified cabinet occupation ratio is less than an occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is qualified, generating an efficiency detection qualified signal and sending the efficiency detection qualified signal and the corresponding efficiency analysis production line to a server;
if the real-time speed is smaller than the difference of the speed threshold value and the unqualified cabinet occupation ratio is smaller than the occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is unqualified, generating a production slow signal, sending the production slow signal and the corresponding efficiency analysis production line to a server, and performing production speed adjustment on the corresponding efficiency analysis production line after the server receives the production slow signal;
if the real-time speed is greater than the speed threshold value and the unqualified cabinet occupation ratio is greater than the occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is unqualified, generating a production efficiency unqualified signal, sending the production efficiency unqualified signal and the corresponding efficiency analysis production line to a server, and performing production quality finishing on the corresponding efficiency analysis production line after the server receives the production efficiency unqualified signal;
if the real-time speed is smaller than the speed threshold value and the unqualified cabinet occupation ratio is larger than the occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is unqualified, generating a production abnormal signal and sending the production abnormal signal and the corresponding efficiency analysis production line to a server, and detecting workers of the corresponding efficiency analysis production line after the server receives the production abnormal signal.
Further, the detection process of the person detection unit is as follows:
marking the staff corresponding to the production abnormal signal as u, wherein u is a natural number greater than 1, acquiring the entry duration of the staff and the working duration of the staff at the position corresponding to the production line, and respectively marking the entry duration of the staff and the working duration of the staff at the position corresponding to the production line as RHu and SCu; acquiring a skilled analysis coefficient Gu of a worker through analysis;
acquiring the times of the misoperation and the frequency of the misoperation of a worker in the entering duration, and respectively marking the times of the misoperation and the frequency of the misoperation of the worker in the entering duration as CCSu and CPLU; acquiring a capability analysis coefficient Qu of a worker through analysis;
comparing the skilled analysis coefficient Gu of the worker and the competence analysis coefficient Qu of the worker with a skilled analysis coefficient threshold value and a competence analysis coefficient threshold value, respectively:
if the skilled analysis coefficient Gu of the worker is larger than the skilled analysis coefficient threshold value and the capability analysis coefficient Qu of the worker is smaller than the capability analysis coefficient threshold value, judging that the corresponding worker is qualified in detection, generating a qualified worker signal and sending the qualified worker signal and the corresponding worker to the server;
if the skilled analysis coefficient Gu of the worker is larger than the skilled analysis coefficient threshold value and the capability analysis coefficient Qu of the worker is larger than the capability analysis coefficient threshold value, judging that the attitude of the corresponding worker has a problem, generating an attitude unqualified signal and sending the attitude unqualified signal and the corresponding worker to the server;
and if the proficiency analysis coefficient Gu of the worker is smaller than the proficiency analysis coefficient threshold value and the capability analysis coefficient Qu of the worker is larger than the capability analysis coefficient threshold value, judging that the capability of the corresponding worker is in problem, generating a capability unqualified signal and sending the capability unqualified signal and the corresponding worker to the server.
Further, the analysis process of the influence analysis unit is as follows:
collecting decibel values, paint spraying usage amounts and sewage discharge amounts of a production line of a communication cabinet in the operation process, and respectively marking the decibel values, the paint spraying usage amounts and the sewage discharge amounts of the production line of the communication cabinet in the operation process as FBZi, YPTi and WPFi; obtaining a corresponding influence analysis coefficient YXi of the production line of the communication cabinet through analysis;
comparing the production line corresponding influence analysis coefficient YXi of the communication cabinet with an influence analysis coefficient threshold:
if the corresponding influence analysis coefficient YXi of the production line of the communication cabinet is greater than or equal to the influence analysis coefficient threshold, judging that the corresponding production line is unqualified in influence analysis, generating a pollution standard exceeding signal and sending the pollution standard exceeding signal to the server;
and if the corresponding influence analysis coefficient YXi of the production line of the communication cabinet is less than the influence analysis coefficient threshold, judging that the corresponding production line is qualified in influence analysis, generating a signal that the pollution does not exceed the standard, and sending the signal that the pollution does not exceed the standard to the server.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, whether the production line is influenced by the environment is judged by analyzing the natural environment and the equipment environment, the influence factors of the production line are collected, so that the management and control of the production line are facilitated, and meanwhile, the production quality of the communication cabinet can be improved; the production efficiency of the communication cabinet is judged through efficiency analysis, the control of the production cycle of the communication cabinet is facilitated, and the phenomena that the completion is not in time or the quality of the cabinet does not meet the requirement and the cabinet is reworked are prevented;
the method has the advantages that the staff corresponding to the production abnormal signals are detected, the phenomenon that production of the production line is abnormal due to the fact that the staff are abnormal is prevented, production stability of the production line is improved, production of the production line is prevented from being abnormal, production cost waste is caused, rework is caused at the same time, and production progress is hindered; the pollution of each production line is analyzed, the pollution influence of the production lines is prevented from exceeding the standard, the rectification cost is increased, the production cost is increased, and the production efficiency of the production lines is indirectly reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a communication cabinet production line supervision system based on big data comprises a production line supervision platform, wherein a server is arranged in the production line supervision platform, and the server is in communication connection with an environment analysis unit, an efficiency detection unit, a personnel detection unit and an influence analysis unit;
production line supervision platform is used for monitoring the management to the production line of communication rack, the server generates the environmental analysis signal and sends the environmental analysis signal to the environmental analysis unit, the environmental analysis unit is used for the production line environment to carry out the analysis, the production line environment includes natural environment and equipment environment, carry out the analysis through natural environment and equipment environment, judge whether the production line receives the environmental impact, gather the management and control of the influence factor of production line of being convenient for, the production quality of communication rack also can be improved simultaneously, concrete analytic process is as follows:
marking the production line of the communication cabinet as i, wherein i is a natural number more than 1, acquiring the ambient temperature all-day average variation value and the ambient humidity all-day average variation value of the production line of the communication cabinet, and respectively marking the ambient temperature all-day average variation value and the ambient humidity all-day average variation value of the production line of the communication cabinet as WSPi and SSPi; by the formula Xi ═ beta 1(WSPi × a1+ SSPi × a2)2Acquiring a natural environment analysis coefficient Xi corresponding to a communication cabinet production line, wherein a1 and a2 are preset proportionality coefficients, a1 is larger than a2 is larger than 0, and beta 1 is an error correction factor and takes a value of 1.36; the natural environment analysis coefficient is a numerical value used for judging the qualification probability of the peripheral natural environment of the communication cabinet production line by carrying out normalization processing on the parameters of the peripheral natural environment of the communication cabinet production line; the larger the ambient temperature all-day average change value and the ambient humidity all-day average change value obtained by a formula are, the larger the natural environment analysis coefficient of the communication cabinet production line is, and the smaller the qualification probability of the ambient natural environment of the communication cabinet production line is;
acquiring the time length of the production equipment in the communication cabinet production line in use and the time length of the production equipment in the communication cabinet production line in use, and respectively marking the time length of the production equipment in use and the time length of the production equipment in the communication cabinet production line in use as TRi and YXi; collection-to-communication cabinet production lineThe frequency of the production equipment in failure in the time length of putting into use and the frequency of the production equipment in failure in the time length of running are respectively marked as TPLi and GPLi; by the formula
Acquiring an environment analysis coefficient Zi of corresponding equipment of a communication cabinet production line, wherein b1 and b2 are preset proportionality coefficients, b1 is larger than b2 is larger than 0, e is a natural constant, and beta 2 is an error correction factor and takes a value of 1.25; the time length of the operation is represented as the interval time length between the time when the equipment is manufactured and used in a production line and the current system time, the failure frequency generated when the equipment is operated and the failure frequency not operated can be analyzed by collecting the failure frequency generated when the time length of the operation is used and the failure frequency in the operation time length, and the operation state of the equipment can be reflected; the equipment environment analysis coefficient is a numerical value used for judging the qualification probability of the equipment corresponding to the communication cabinet production line by carrying out normalization processing on the parameters of the communication cabinet production line equipment; the frequency of equipment failure in the time length of putting into use and the larger the failure of production equipment in the time length of operation can be obtained through a formula, the larger the equipment environment analysis coefficient of the communication cabinet production line is, and the smaller the equipment qualification probability of the communication cabinet production line is represented;
analyzing a natural environment analysis coefficient Xi and an equipment environment analysis coefficient Zi corresponding to a communication cabinet production line, if the natural environment analysis coefficient Xi and the equipment environment analysis coefficient Zi corresponding to the communication cabinet production line are both smaller than corresponding thresholds, judging that the production line environment is qualified, generating an environment qualified signal and sending the environment qualified signal to a server; if any value of the natural environment analysis coefficient Xi corresponding to the production line of the communication cabinet and the equipment environment analysis coefficient Zi is larger than or equal to the corresponding threshold value, judging that the production line environment is unqualified, generating an environment unqualified signal and sending the environment unqualified signal to a server;
after the server received the unqualified signal of environment, will correspond the production line and carry out the mortgage, after the server received the qualified signal of environment, generate efficiency detected signal and with efficiency detected signal transmission to efficiency detecting element, efficiency detecting element is used for carrying out efficiency analysis to the qualified production line of environment, judge the production efficiency of communication rack through efficiency analysis, the control of communication rack production cycle of being convenient for, prevent that the completion is untimely or the rack quality is not conform to the phenomenon of requirement and rework, concrete efficiency analysis process is as follows:
marking the production line with qualified environment as an efficiency analysis production line, setting a mark o, wherein o is a natural number greater than 1, acquiring the number of communication cabinets corresponding to the historical order of the efficiency analysis production line and the order construction period, acquiring the production speed of the efficiency analysis production line according to the number of communication cabinets corresponding to the historical order of the efficiency analysis production line and the order construction period, marking the production speed as a speed threshold value, and setting a mark SCVo; acquiring the production speed of an efficiency analysis production line in real time, marking the production speed as a real-time speed, and setting a mark SSVo;
collecting the number of the communication cabinets finished being produced at the current moment, collecting the proportion of unqualified communication cabinets in the number of the communication cabinets finished being produced at the current moment, marking the proportion as the unqualified cabinet proportion, and setting a label ZBo;
carrying out efficiency analysis on the efficiency analysis production line, if the real-time speed is greater than a speed threshold value and the unqualified cabinet occupation ratio is less than an occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is qualified, generating an efficiency detection qualified signal and sending the efficiency detection qualified signal and the corresponding efficiency analysis production line to a server;
if the real-time speed is smaller than the difference of the speed threshold value and the unqualified cabinet occupation ratio is smaller than the occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is unqualified, generating a production slow signal, sending the production slow signal and the corresponding efficiency analysis production line to a server, and performing production speed adjustment on the corresponding efficiency analysis production line after the server receives the production slow signal;
if the real-time speed is greater than the speed threshold value and the unqualified cabinet occupation ratio is greater than the occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is unqualified, generating a production efficiency unqualified signal, sending the production efficiency unqualified signal and the corresponding efficiency analysis production line to a server, and performing production quality finishing on the corresponding efficiency analysis production line after the server receives the production efficiency unqualified signal;
if the real-time speed is smaller than the speed threshold value and the unqualified cabinet occupation ratio is larger than the occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is unqualified, generating a production abnormal signal and sending the production abnormal signal and the corresponding efficiency analysis production line to a server, and detecting workers of the corresponding efficiency analysis production line after the server receives the production abnormal signal;
the server generates personnel detection signals and sends the personnel detection signals to the personnel detection unit, and after the personnel detection unit receives the personnel detection signals, the personnel detection unit detects the staff corresponding to the production abnormal signals, so that the phenomenon that the production line is abnormal due to the abnormity of the staff is prevented from occurring, the production stability of the production line is improved, the production line is avoided being abnormal, the production cost is wasted, the rework is caused at the same time, the production progress is blocked, and the specific detection process is as follows:
marking the staff corresponding to the production abnormal signal as u, wherein u is a natural number greater than 1, acquiring the entry duration of the staff and the working duration of the staff at the position corresponding to the production line, and respectively marking the entry duration of the staff and the working duration of the staff at the position corresponding to the production line as RHu and SCu; by the formula
Obtaining a skilled analysis coefficient Gu of a worker, wherein c1 and c2 are preset proportionality coefficients, and c1 is greater than c2 is greater than 0;
acquiring the times of the misoperation and the frequency of the misoperation of a worker in the entering duration, and respectively marking the times of the misoperation and the frequency of the misoperation of the worker in the entering duration as CCSu and CPLU; acquiring a capacity analysis coefficient Qu of a worker through a formula Qu (CCSu × c3+ CPLU × c4) (c3+ c4), wherein c3 and c4 are preset proportionality coefficients, and c3 is greater than c4 is greater than 0;
comparing the skilled analysis coefficient Gu of the worker and the competence analysis coefficient Qu of the worker with a skilled analysis coefficient threshold value and a competence analysis coefficient threshold value, respectively:
if the skilled analysis coefficient Gu of the worker is larger than the skilled analysis coefficient threshold value and the capability analysis coefficient Qu of the worker is smaller than the capability analysis coefficient threshold value, judging that the corresponding worker is qualified in detection, generating a qualified worker signal and sending the qualified worker signal and the corresponding worker to the server;
if the skilled analysis coefficient Gu of the worker is larger than the skilled analysis coefficient threshold value, and the ability analysis coefficient Qu of the worker is larger than the ability analysis coefficient threshold value, judging that the attitude of the corresponding worker has a problem, generating an attitude unqualified signal, sending the attitude unqualified signal and the corresponding worker to a server, and after receiving the attitude unqualified signal and the corresponding worker, the server mortises the corresponding worker;
if the proficiency analysis coefficient Gu of the worker is smaller than the proficiency analysis coefficient threshold value and the capability analysis coefficient Qu of the worker is larger than the capability analysis coefficient threshold value, judging that the capability of the corresponding worker is in problem, generating a capability unqualified signal, sending the capability unqualified signal and the corresponding worker to a server, and after receiving the capability unqualified signal and the corresponding worker, the server carries out post movement on the corresponding worker;
the server generates the influence analysis signal and sends the influence analysis signal to the influence analysis unit, the influence analysis unit is used for carrying out analysis on the pollution influence generated by the production line of the communication cabinet, the pollution influence comprises decibel values in the production line operation process, the paint spraying usage amount and the sewage discharge amount, the pollution of each production line is analyzed, the pollution influence of the production line is prevented from exceeding the standard, the rectification cost is increased, the production efficiency of the production line is indirectly reduced, the specific analysis process is as follows:
collecting decibel values, paint spraying usage amounts and sewage discharge amounts of a production line of a communication cabinet in the operation process, and respectively marking the decibel values, the paint spraying usage amounts and the sewage discharge amounts of the production line of the communication cabinet in the operation process as FBZi, YPTi and WPFi;
by the formula
Obtaining a corresponding influence analysis coefficient YXi of a production line of the communication cabinet, wherein f1, f2 and f3 are all preset proportionality coefficients, f1 is more than f2 is more than f3 is more than 0, and alpha is an error correction factor and is 2.13;
comparing the production line corresponding influence analysis coefficient YXi of the communication cabinet with an influence analysis coefficient threshold:
if the corresponding influence analysis coefficient YXi of the production line of the communication cabinet is greater than or equal to the influence analysis coefficient threshold, judging that the corresponding production line is unqualified in influence analysis, generating a pollution standard exceeding signal and sending the pollution standard exceeding signal to the server;
and if the corresponding influence analysis coefficient YXi of the production line of the communication cabinet is less than the influence analysis coefficient threshold, judging that the corresponding production line is qualified in influence analysis, generating a signal that the pollution does not exceed the standard, and sending the signal that the pollution does not exceed the standard to the server.
The working principle of the invention is as follows: a production line supervision system of a communication cabinet based on big data monitors and manages a production line of the communication cabinet through a production line supervision platform during working, a server generates an environment analysis signal and sends the environment analysis signal to an environment analysis unit, the environment of the production line is analyzed through the environment analysis unit, an environment qualified signal and an environment unqualified signal are generated through analysis, and the environment qualified signal and the environment unqualified signal are sent to the server; after receiving the environment qualified signal, the server generates an efficiency detection signal and sends the efficiency detection signal to an efficiency detection unit, and the efficiency detection unit performs efficiency analysis on the production line with qualified environment; the server generates a personnel detection signal and sends the personnel detection signal to the personnel detection unit, and after the personnel detection signal is received by the personnel detection unit, the staff corresponding to the production abnormal signal is detected; the server generates an influence analysis signal and sends the influence analysis signal to the influence analysis unit, and the influence analysis unit analyzes the pollution influence on the production line of the communication cabinet.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. A communication cabinet production line supervision system based on big data is characterized by comprising a production line supervision platform, wherein a server is arranged in the production line supervision platform and is in communication connection with an environment analysis unit, an efficiency detection unit, a personnel detection unit and an influence analysis unit;
the production line supervision platform is used for monitoring and managing a production line of the communication cabinet, the server generates an environment analysis signal and sends the environment analysis signal to the environment analysis unit, the environment analysis unit is used for analyzing the production line environment, generating an environment qualified signal and an environment unqualified signal through analysis, and sending the environment qualified signal and the environment unqualified signal to the server;
after receiving the environment qualified signal, the server generates an efficiency detection signal and sends the efficiency detection signal to an efficiency detection unit, wherein the efficiency detection unit is used for carrying out efficiency analysis on the production line which is qualified in environment; the server generates a personnel detection signal and sends the personnel detection signal to the personnel detection unit, and the personnel detection unit detects the staff corresponding to the production abnormal signal after receiving the personnel detection signal; the server generates an influence analysis signal and sends the influence analysis signal to the influence analysis unit, and the influence analysis unit is used for analyzing the pollution influence generated by the production line of the communication cabinet.
2. The big data based communication cabinet production line supervision system according to claim 1, wherein the analysis process of the environment analysis unit is as follows:
marking the production line of the communication cabinet as i, wherein i is a natural number more than 1, acquiring the ambient temperature all-day average variation value and the ambient humidity all-day average variation value of the production line of the communication cabinet, and respectively marking the ambient temperature all-day average variation value and the ambient humidity all-day average variation value of the production line of the communication cabinet as WSPi and SSPi; acquiring a corresponding natural environment analysis coefficient Xi of a communication cabinet production line through analysis;
acquiring the time length of the production equipment in the communication cabinet production line in use and the time length of the production equipment in the communication cabinet production line in use, and respectively marking the time length of the production equipment in use and the time length of the production equipment in the communication cabinet production line in use as TRi and YXi; acquiring the frequency of the production equipment of the communication cabinet production line failing in the time length of putting into use and the frequency of the production equipment failing in the time length of operating, and respectively marking the frequency of the production equipment of the communication cabinet production line failing in the time length of putting into use and the frequency of the production equipment failing in the time length of operating as TPLi and GPLi; obtaining an environment analysis coefficient Zi of corresponding equipment of a communication cabinet production line through analysis;
analyzing a natural environment analysis coefficient Xi and an equipment environment analysis coefficient Zi corresponding to a communication cabinet production line, if the natural environment analysis coefficient Xi and the equipment environment analysis coefficient Zi corresponding to the communication cabinet production line are both smaller than corresponding thresholds, judging that the production line environment is qualified, generating an environment qualified signal and sending the environment qualified signal to a server; and if any value of the natural environment analysis coefficient Xi corresponding to the production line of the communication cabinet and the equipment environment analysis coefficient Zi is larger than or equal to the corresponding threshold value, judging that the production line environment is unqualified, generating an environment unqualified signal and sending the environment unqualified signal to the server.
3. The big data based communication cabinet production line supervision system according to claim 1, wherein the efficiency analysis process of the efficiency detection unit is as follows:
marking the production line with qualified environment as an efficiency analysis production line, setting a mark o, wherein o is a natural number greater than 1, acquiring the number of communication cabinets corresponding to the historical order of the efficiency analysis production line and the order construction period, acquiring the production speed of the efficiency analysis production line according to the number of communication cabinets corresponding to the historical order of the efficiency analysis production line and the order construction period, marking the production speed as a speed threshold value, and setting a mark SCVo; acquiring the production speed of an efficiency analysis production line in real time, marking the production speed as a real-time speed, and setting a mark SSVo;
collecting the number of the communication cabinets finished being produced at the current moment, collecting the proportion of unqualified communication cabinets in the number of the communication cabinets finished being produced at the current moment, marking the proportion as the unqualified cabinet proportion, and setting a label ZBo;
carrying out efficiency analysis on the efficiency analysis production line, if the real-time speed is greater than a speed threshold value and the unqualified cabinet occupation ratio is less than an occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is qualified, generating an efficiency detection qualified signal and sending the efficiency detection qualified signal and the corresponding efficiency analysis production line to a server;
if the real-time speed is smaller than the difference of the speed threshold value and the unqualified cabinet occupation ratio is smaller than the occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is unqualified, generating a production slow signal, sending the production slow signal and the corresponding efficiency analysis production line to a server, and performing production speed adjustment on the corresponding efficiency analysis production line after the server receives the production slow signal;
if the real-time speed is greater than the speed threshold value and the unqualified cabinet occupation ratio is greater than the occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is unqualified, generating a production efficiency unqualified signal, sending the production efficiency unqualified signal and the corresponding efficiency analysis production line to a server, and performing production quality finishing on the corresponding efficiency analysis production line after the server receives the production efficiency unqualified signal;
if the real-time speed is smaller than the speed threshold value and the unqualified cabinet occupation ratio is larger than the occupation ratio threshold value, judging that the efficiency of the corresponding efficiency analysis production line is unqualified, generating a production abnormal signal and sending the production abnormal signal and the corresponding efficiency analysis production line to a server, and detecting workers of the corresponding efficiency analysis production line after the server receives the production abnormal signal.
4. The big data based communication cabinet production line supervision system according to claim 1, wherein the detection process of the personnel detection unit is as follows:
marking the staff corresponding to the production abnormal signal as u, wherein u is a natural number greater than 1, acquiring the entry duration of the staff and the working duration of the staff at the position corresponding to the production line, and respectively marking the entry duration of the staff and the working duration of the staff at the position corresponding to the production line as RHu and SCu; acquiring a skilled analysis coefficient Gu of a worker through analysis;
acquiring the times of the misoperation and the frequency of the misoperation of a worker in the entering duration, and respectively marking the times of the misoperation and the frequency of the misoperation of the worker in the entering duration as CCSu and CPLU; acquiring a capability analysis coefficient Qu of a worker through analysis;
comparing the skilled analysis coefficient Gu of the worker and the competence analysis coefficient Qu of the worker with a skilled analysis coefficient threshold value and a competence analysis coefficient threshold value, respectively:
if the skilled analysis coefficient Gu of the worker is larger than the skilled analysis coefficient threshold value and the capability analysis coefficient Qu of the worker is smaller than the capability analysis coefficient threshold value, judging that the corresponding worker is qualified in detection, generating a qualified worker signal and sending the qualified worker signal and the corresponding worker to the server;
if the skilled analysis coefficient Gu of the worker is larger than the skilled analysis coefficient threshold value and the capability analysis coefficient Qu of the worker is larger than the capability analysis coefficient threshold value, judging that the attitude of the corresponding worker has a problem, generating an attitude unqualified signal and sending the attitude unqualified signal and the corresponding worker to the server;
and if the proficiency analysis coefficient Gu of the worker is smaller than the proficiency analysis coefficient threshold value and the capability analysis coefficient Qu of the worker is larger than the capability analysis coefficient threshold value, judging that the capability of the corresponding worker is in problem, generating a capability unqualified signal and sending the capability unqualified signal and the corresponding worker to the server.
5. The big data based communication cabinet production line supervision system according to claim 1, wherein the analysis process of the influence analysis unit is as follows:
collecting decibel values, paint spraying usage amounts and sewage discharge amounts of a production line of a communication cabinet in the operation process, and respectively marking the decibel values, the paint spraying usage amounts and the sewage discharge amounts of the production line of the communication cabinet in the operation process as FBZi, YPTi and WPFi; obtaining a corresponding influence analysis coefficient YXi of the production line of the communication cabinet through analysis;
comparing the production line corresponding influence analysis coefficient YXi of the communication cabinet with an influence analysis coefficient threshold:
if the corresponding influence analysis coefficient YXi of the production line of the communication cabinet is greater than or equal to the influence analysis coefficient threshold, judging that the corresponding production line is unqualified in influence analysis, generating a pollution standard exceeding signal and sending the pollution standard exceeding signal to the server;
and if the corresponding influence analysis coefficient YXi of the production line of the communication cabinet is less than the influence analysis coefficient threshold, judging that the corresponding production line is qualified in influence analysis, generating a signal that the pollution does not exceed the standard, and sending the signal that the pollution does not exceed the standard to the server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111113973.2A CN113793050A (en) | 2021-09-23 | 2021-09-23 | Communication cabinet production line supervision system based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111113973.2A CN113793050A (en) | 2021-09-23 | 2021-09-23 | Communication cabinet production line supervision system based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113793050A true CN113793050A (en) | 2021-12-14 |
Family
ID=78879152
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111113973.2A Pending CN113793050A (en) | 2021-09-23 | 2021-09-23 | Communication cabinet production line supervision system based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113793050A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114319165A (en) * | 2021-12-28 | 2022-04-12 | 中铁水利水电规划设计集团有限公司 | Precast concrete culvert pipe stagnant water component monitoring processing system based on data analysis |
| CN114690729A (en) * | 2022-05-31 | 2022-07-01 | 山东柏源技术有限公司 | Rubber tire production quality management system based on internet |
| CN114997565A (en) * | 2022-04-18 | 2022-09-02 | 南京林业大学 | Big data-based smart city forestry gridding management system |
| CN115049280A (en) * | 2022-06-22 | 2022-09-13 | 安徽金源药业有限公司 | Health food processing operation supervisory systems based on 5G network |
| CN115657631A (en) * | 2022-12-12 | 2023-01-31 | 北京珞安科技有限责任公司 | Intelligent monitoring system for industrial control equipment operation field environment |
| CN115996259A (en) * | 2023-03-22 | 2023-04-21 | 深圳百沃彰世科技有限公司 | Smart phone communication test system based on communication monitoring technology |
| CN116167604A (en) * | 2023-04-26 | 2023-05-26 | 广东广泽实业有限公司 | Intelligent management system for power product production based on production full-flow tracking |
| CN116184926A (en) * | 2023-04-21 | 2023-05-30 | 山东力乐新材料有限公司 | Full-automatic intelligent production line flow detection system for plastic hollow plate |
| CN116700141A (en) * | 2023-07-22 | 2023-09-05 | 广州市燊雅精密科技有限公司 | Numerical control lathe machining efficiency detecting system based on artificial intelligence |
| CN117130332A (en) * | 2023-08-29 | 2023-11-28 | 西安速度时空大数据科技有限公司 | Intelligent monitoring system for production line of military industry enterprise based on data analysis |
-
2021
- 2021-09-23 CN CN202111113973.2A patent/CN113793050A/en active Pending
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114319165A (en) * | 2021-12-28 | 2022-04-12 | 中铁水利水电规划设计集团有限公司 | Precast concrete culvert pipe stagnant water component monitoring processing system based on data analysis |
| CN114997565A (en) * | 2022-04-18 | 2022-09-02 | 南京林业大学 | Big data-based smart city forestry gridding management system |
| CN114690729A (en) * | 2022-05-31 | 2022-07-01 | 山东柏源技术有限公司 | Rubber tire production quality management system based on internet |
| CN115049280A (en) * | 2022-06-22 | 2022-09-13 | 安徽金源药业有限公司 | Health food processing operation supervisory systems based on 5G network |
| CN115657631A (en) * | 2022-12-12 | 2023-01-31 | 北京珞安科技有限责任公司 | Intelligent monitoring system for industrial control equipment operation field environment |
| CN115657631B (en) * | 2022-12-12 | 2023-03-10 | 北京珞安科技有限责任公司 | Intelligent monitoring system for industrial control equipment operation field environment |
| CN115996259A (en) * | 2023-03-22 | 2023-04-21 | 深圳百沃彰世科技有限公司 | Smart phone communication test system based on communication monitoring technology |
| CN115996259B (en) * | 2023-03-22 | 2023-06-30 | 深圳百沃彰世科技有限公司 | Smart phone communication test system based on communication monitoring technology |
| CN116184926A (en) * | 2023-04-21 | 2023-05-30 | 山东力乐新材料有限公司 | Full-automatic intelligent production line flow detection system for plastic hollow plate |
| CN116167604A (en) * | 2023-04-26 | 2023-05-26 | 广东广泽实业有限公司 | Intelligent management system for power product production based on production full-flow tracking |
| CN116167604B (en) * | 2023-04-26 | 2023-08-11 | 广东汇海材料有限公司 | Intelligent management system for power product production based on production full-flow tracking |
| CN116700141A (en) * | 2023-07-22 | 2023-09-05 | 广州市燊雅精密科技有限公司 | Numerical control lathe machining efficiency detecting system based on artificial intelligence |
| CN116700141B (en) * | 2023-07-22 | 2024-02-06 | 广州市燊雅精密科技有限公司 | Numerical control lathe machining efficiency detecting system based on artificial intelligence |
| CN117130332A (en) * | 2023-08-29 | 2023-11-28 | 西安速度时空大数据科技有限公司 | Intelligent monitoring system for production line of military industry enterprise based on data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113793050A (en) | Communication cabinet production line supervision system based on big data | |
| CN116758719B (en) | Online monitoring system for production workshop equipment environment | |
| CN115049232B (en) | Method and system for judging station area abnormity | |
| CN117791869B (en) | Data online monitoring method and system based on intelligent power distribution cabinet | |
| CN115514318A (en) | Photovoltaic power plant monitored control system | |
| CN112016206A (en) | Method and system for judging instability state of tower, computer equipment and application | |
| CN111160598A (en) | Energy prediction and energy consumption control method and system based on dynamic energy consumption benchmark | |
| CN117391357B (en) | Scheduling self-checking system for power grid scheduling operation management based on big data | |
| CN113934536A (en) | Data acquisition method facing edge calculation | |
| CN117670313A (en) | Power plant inspection method, power plant inspection system and storable medium | |
| CN114665610B (en) | Capacitor monitoring method, system and equipment based on reactive power acquisition | |
| CN115766793A (en) | Based on data center computer lab basis environmental monitoring alarm device | |
| CN115357451A (en) | Real-time monitoring and alarming device and method for dynamic power consumption of server | |
| CN115222307A (en) | Pipeline worker safety control method based on data analysis | |
| CN115494347A (en) | Method, device, equipment and storage medium for confirming abnormal power utilization users in transformer area | |
| CN114355205A (en) | Storage battery state monitoring method and device | |
| CN113176962A (en) | Machine room IT equipment fault accurate detection method and system for data center | |
| CN116307860B (en) | Photovoltaic power station monitoring and alarming method, device, equipment and storage medium | |
| CN117118086A (en) | Active power distribution network monitoring system and method based on big data | |
| CN117215498B (en) | Enterprise data storage intelligent management system based on hardware storage supervision | |
| CN117762716B (en) | Method and system for rapidly positioning memory bank abnormality on main board | |
| CN115511126A (en) | Cross-data center cooperative management method | |
| CN116243072A (en) | Electric equipment systematic maintenance management system and method suitable for construction site | |
| CN115877254B (en) | Online self-checking system for UPS running state | |
| CN111400284B (en) | Method for establishing dynamic anomaly detection model based on performance data |
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 |