CN117408641A - Pressure sensor production line processing operation supervision system based on data analysis - Google Patents
Pressure sensor production line processing operation supervision system based on data analysis Download PDFInfo
- Publication number
- CN117408641A CN117408641A CN202311688011.9A CN202311688011A CN117408641A CN 117408641 A CN117408641 A CN 117408641A CN 202311688011 A CN202311688011 A CN 202311688011A CN 117408641 A CN117408641 A CN 117408641A
- Authority
- CN
- China
- Prior art keywords
- value
- production line
- preset
- production
- threshold
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 352
- 238000012545 processing Methods 0.000 title claims abstract description 156
- 238000007405 data analysis Methods 0.000 title claims abstract description 12
- 238000011156 evaluation Methods 0.000 claims abstract description 105
- 238000004458 analytical method Methods 0.000 claims abstract description 37
- 230000004927 fusion Effects 0.000 claims abstract description 29
- 239000000463 material Substances 0.000 claims description 76
- 238000009825 accumulation Methods 0.000 claims description 59
- 238000000034 method Methods 0.000 claims description 23
- 238000012544 monitoring process Methods 0.000 claims description 21
- 238000010606 normalization Methods 0.000 claims description 18
- 230000002159 abnormal effect Effects 0.000 claims description 6
- 239000000428 dust Substances 0.000 claims description 6
- 230000001154 acute effect Effects 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000001276 controlling effect Effects 0.000 claims description 2
- 230000001105 regulatory effect Effects 0.000 claims description 2
- 238000011112 process operation Methods 0.000 claims 3
- 239000007795 chemical reaction product Substances 0.000 abstract description 6
- 239000000047 product Substances 0.000 description 43
- 230000006854 communication Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000007175 bidirectional communication Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
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
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
-
- 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
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of production line operation supervision, in particular to a pressure sensor production line processing operation supervision system based on data analysis, which comprises a supervision platform, a data acquisition unit, a stability evaluation unit, a supply supervision unit, a stacking flow unit, a production fusion unit, a trend evaluation unit and a production line management unit; according to the invention, the production of the processing production line is monitored and analyzed in a point-to-surface manner, so that the production efficiency and the production stability of the processing production line are improved, meanwhile, the operation safety of the processing production line is ensured, the analysis is performed from the surface angle, namely, the flow evaluation value of the production line is subjected to deep data fusion evaluation analysis, so that the degree of influence of front-end feeding, interruption equipment and rear-end products on the whole production of the processing production line is known, the processing production line is reasonably managed by combining the whole influence condition, and the reasonable adjustment of the management decision of the processing production line is facilitated, so that the production efficiency and the production stability of the processing production line are ensured.
Description
Technical Field
The invention relates to the technical field of production line operation supervision, in particular to a pressure sensor production line processing operation supervision system based on data analysis.
Background
The pressure sensor is a device or an apparatus which can sense pressure signals and can convert the pressure signals into usable output electric signals according to a certain rule; the production line is a route which is passed by the production process of the product, namely, a route which is formed by a series of production activities such as processing, conveying, assembling, checking and the like from the raw materials entering a production site, and the production line is organized according to the object principle to finish a production organization form of the technological process of the product;
however, the traditional analysis mode is too single in data at present, so that the error of analysis results is large, the management rationality of a processing production line is reduced, the whole pressure sensor processing production line cannot be reasonably and pertinently managed, the processing efficiency and the stable operation safety of the pressure sensor processing production line are further affected, the data support cannot be improved by combining the management decision of front-end feeding, interrupting equipment and rear-end products on the processing production line, and the operation stability of the processing production line is further reduced;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a pressure sensor production line processing operation monitoring system based on data analysis, which solves the technical defects, monitors and analyzes the production of a processing production line in a point-to-surface mode to improve the production efficiency and the production stability of the processing production line, and simultaneously ensures the operation safety of the processing production line, analyzes the flow evaluation value of the production line in a surface angle, namely, carries out deep data fusion evaluation analysis on the flow evaluation value of the production line so as to know the production influence degree of front-end feeding, interruption equipment and rear-end products on the whole processing production line, so as to reasonably manage the processing production line in combination with the whole influence condition, ensure the whole operation stability and the production efficiency of the processing production line, know whether the whole influence change trend of the production efficiency of the processing production line of the pressure sensor is normal or not, reasonably manage the processing production line in time, and reasonably adjust the management decision of the processing production line in time so as to ensure the production efficiency and the production stability of the processing production line.
The aim of the invention can be achieved by the following technical scheme: the pressure sensor production line processing operation monitoring system based on data analysis comprises a monitoring platform, a data acquisition unit, a stability evaluation unit, a supply monitoring unit, a stacking flow unit, a production fusion unit, a trend evaluation unit and a production line management unit;
when the supervision platform generates a management command, immediately sending the management command to a data acquisition unit, immediately acquiring equipment risk data, auxiliary material supply data and product accumulation data of a processing production line after the data acquisition unit receives the management command, wherein the equipment risk data comprises an operation characteristic value, an environment influence value and a self management value, the auxiliary material supply data comprises a supply delay value and a material scheduling value, the product accumulation data comprises an accumulation growth rate, accumulation times and accumulation total time length, the equipment risk data, the auxiliary material supply data and the product accumulation data are respectively sent to a stability evaluation unit, a supply supervision unit and an accumulation flow unit, the stability evaluation unit immediately carries out production line processing stability evaluation analysis on the equipment risk data after receiving the equipment risk data, sends an obtained feedback command to a production line management unit and sends an obtained risk signal to the production line management unit;
the supply supervision unit immediately performs production material supply influence operation on the auxiliary material supply data after receiving the auxiliary material supply data, and sends an obtained influence signal to the production line management unit;
the stacking flow unit immediately performs stacking fluidity supervision and evaluation analysis on the product stacking data after receiving the product stacking data, sends the obtained product line flow evaluation value to the production fusion unit, and sends the obtained early warning signal to the product line management unit;
the production fusion unit immediately carries out deep data fusion evaluation analysis on the production line flow evaluation value after receiving the production line flow evaluation value, sends the obtained normal signal to the trend evaluation unit, and sends the obtained interference signal to the production line management unit;
and the trend evaluation unit immediately carries out production efficiency damage supervision trend analysis on the production interference risk coefficient R after receiving the normal signal, and sends the obtained regulation and control signal to the production line management unit through the production fusion unit.
Preferably, the production line processing stability evaluation analysis process of the stability evaluation unit is as follows:
s1: acquiring the time length of a processing production line in a period of operation, marking a time threshold value, dividing the time threshold value into i sub-time periods, wherein i is a natural number larger than zero, marking each device in the processing production line as g, g is a natural number larger than zero, acquiring an operation characteristic value YTIG and an environment influence value HJig of each device in the processing production line in each sub-time period, wherein the operation characteristic value YTIG represents a part of a product value obtained by carrying out data normalization on an abnormal equipment operation mean value and a vibration amplitude mean value and exceeding a preset threshold value, the environment influence value HJig represents an area surrounded by a line segment above the preset environment temperature characteristic curve and the preset environment temperature characteristic curve, and then carrying out data normalization on the product value formed by intersecting an environment dust concentration curve with the preset environment dust concentration threshold value curve for the first time, and acquiring an acute angle management value ZGg of each device in the processing production line in the time threshold, wherein the self management value ZGg represents a sum value obtained by carrying out data normalization on a fault interval mean value and a maintenance interval mean value;
s2: in the number of sub-time periods X, respectively taking an operation characteristic value YTIG and an environment influence value HJig as Y axes to establish a rectangular coordinate system, drawing an operation characteristic value curve and an environment influence value curve in a dot drawing mode, further respectively obtaining the change trend values of the operation characteristic value curve and the environment influence value curve from the operation characteristic value curve and the environment influence value curve, and respectively marking the change trend values as characteristic trend values and interference trend values, wherein the numbers are TQg and GQg respectively;
s3: comparing the characteristic trend value TQg, the interference trend value GQg and the self-management value ZGg with a preset characteristic trend value threshold value, a preset interference trend value threshold value and a preset self-management value threshold value which are recorded and stored in the processing line, if the characteristic trend value TQg, the interference trend value GQg and the self-management value ZGg are not met and are smaller than the preset characteristic trend value threshold value, the preset interference trend value threshold value and the preset self-management value threshold value, generating a feedback instruction, obtaining the number of devices corresponding to the feedback instruction, marking the ratio of the number of devices corresponding to the feedback instruction to the total number of devices in the processing line as a stable interference value, and comparing the stable interference value with the preset stable interference value threshold value recorded and stored in the processing line:
if the ratio between the stable interference value and the preset stable interference value threshold is smaller than 1, no signal is generated;
and if the ratio between the stable interference value and the preset stable interference value threshold is greater than or equal to 1, generating a risk signal.
Preferably, the production material supply influencing operation of the supply supervision unit is as follows:
t1: obtaining a supply delay value of a processing production line in a time threshold, wherein the supply delay value represents a product value obtained by carrying out data normalization processing on the sum of the supply delay times of auxiliary materials and the part of the total sum of the supply delay time exceeding a preset supply delay time threshold, comparing the supply delay value with a stored preset supply delay value threshold, and marking the part of the supply delay value larger than the preset supply delay value threshold as a supply delay value if the supply delay value is larger than the preset supply delay value threshold;
t2: acquiring a material scheduling value of a processing production line in a time threshold, wherein the material scheduling value represents a ratio of a part of a scheduling interval time average value of a supplied material exceeding a preset scheduling interval time average value to a data normalization processing of a supplied material scheduling transportation speed, comparing the material scheduling value with a preset material scheduling value threshold, if the material scheduling value is larger than the preset material scheduling value threshold, marking a part of the material scheduling value larger than the preset material scheduling value threshold as a scheduling risk value, and comparing a supply delay value and a scheduling risk value with a preset supply delay value threshold and a preset scheduling risk value threshold which are recorded and stored in the material scheduling value and the material scheduling risk value:
if the supply delay value is smaller than the preset supply delay value threshold value and the scheduling risk value is smaller than the preset scheduling risk value threshold value, no signal is generated;
and generating an influence signal if the supply delay value is greater than or equal to a preset supply delay value threshold or the scheduling risk value is greater than or equal to a preset scheduling risk value threshold.
Preferably, the stacking fluidity monitoring, evaluating and analyzing process of the stacking flow unit is as follows:
acquiring the accumulation times and the accumulation total time length of the processing production line in each sub-time period, further acquiring accumulation values obtained by carrying out data normalization processing on the accumulation times and the accumulation total time length of the processing production line in each sub-time period, marking the accumulation values as accumulation risk values, acquiring the accumulation growth rate of the processing production line in each sub-time period, and respectively marking the accumulation risk values and the accumulation growth rate as DFi and DSi;
obtaining a production line flow risk coefficient Li according to a formula, comparing the production line flow risk coefficient Li with a stored preset production line flow risk coefficient threshold, if the production line flow risk coefficient Li is larger than the preset production line flow risk coefficient threshold, comparing the production line flow risk coefficient Li with the ratio of the number of sub-time periods corresponding to the preset production line flow risk coefficient threshold to the total number of sub-time periods, marking the ratio as a production line flow evaluation value, and comparing the production line flow evaluation value with a preset production line flow evaluation value threshold which is recorded in the production line flow evaluation value and is stored in the production line flow evaluation value:
if the line flow evaluation value is smaller than a preset line flow evaluation value threshold, no signal is generated;
and if the line flow evaluation value is greater than or equal to a preset line flow evaluation value threshold, generating an early warning signal.
Preferably, the in-depth data fusion evaluation analysis process of the production fusion unit is as follows:
the stable interference value is called from the stable evaluation unit, the supply delay value and the scheduling risk value are called from the supply supervision unit, meanwhile, the production line flow evaluation value of the processing production line in the time threshold is obtained, and the stable interference value, the supply delay value, the scheduling risk value and the production line flow evaluation value are respectively marked as WG, GT, DD and CL;
according to the formulaObtaining production interference risk coefficients, wherein f1, f2, f3 and f4 are respectively a stable interference value, a supply delay value, a scheduling risk value and a preset weight factor coefficient of a production line flow evaluation value, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset fault tolerance factor coefficient, the value is 2.211, R is a production interference risk coefficient, and the production interference risk coefficient R is compared with a preset production interference risk coefficient threshold value recorded and stored in the production interference risk coefficient R:
if the production interference risk coefficient R is smaller than a preset production interference risk coefficient threshold value, generating a normal signal;
and if the production interference risk coefficient R is greater than or equal to a preset production interference risk coefficient threshold value, generating an interference signal.
Preferably, the production efficiency supervision trend analysis process of the trend evaluation unit is as follows:
the method comprises the steps of obtaining production interference risk coefficients Rk of normal processing production lines in k time thresholds, wherein k is a natural number larger than zero, establishing a rectangular coordinate system with the number of sub-time periods as an X axis and the production interference risk coefficients Rk as a Y axis, drawing a production interference risk coefficient curve in a dot drawing mode, further obtaining an area surrounded by the production interference risk coefficient curve and the X axis, marking the area surrounded by the production interference risk coefficient curve and the X axis as an efficiency trend value, and comparing the efficiency trend value with a preset efficiency trend value threshold value recorded and stored in the efficiency trend value to analyze:
if the ratio between the efficiency trend value and the preset efficiency trend value threshold is smaller than 1, no signal is generated;
and if the ratio between the efficiency trend value and the preset efficiency trend value threshold is greater than or equal to 1, generating a regulating and controlling signal.
The beneficial effects of the invention are as follows:
(1) According to the invention, the production of the processing production line is monitored and analyzed in a point-to-surface mode to improve the production efficiency and the production stability of the processing production line, meanwhile, the operation safety of the processing production line is ensured, and the analysis is performed in a point angle, namely, the equipment risk data is subjected to production line processing stability evaluation analysis to judge whether the equipment operation stability in the processing production line is normal or not, so as to ensure the operation safety and the control force of the processing production line, the auxiliary material supply data is subjected to production material supply influence operation to know the influence condition of the auxiliary material supply on the production of the processing production line, so that the auxiliary material supply is reasonably adjusted to reduce the influence degree of the auxiliary material supply on the production of the processing production line, so as to improve the production stability of the processing production line, the accumulation flow monitoring evaluation analysis is performed on the product accumulation data to judge the influence condition of the accumulation at the rear end of the processing product on the flow of the processing production line, so as to timely process the accumulation product, and reduce the influence degree of the accumulation product on the production efficiency and the operation flow of the processing production line;
(2) The invention analyzes from the aspect of the surface, namely, carries out deep data fusion evaluation analysis on the flow evaluation value of the production line so as to know the production influence degree of front-end feeding, interruption equipment and rear-end products on the whole production line, so as to reasonably manage the production line in combination with the whole influence condition, ensure the whole running stability and production efficiency of the production line, and know whether the whole influence change trend of the production efficiency of the pressure sensor processing line is normal or not so as to reasonably manage the production line in time, and simultaneously be beneficial to reasonably adjusting the management decision of the processing line so as to ensure the production efficiency and production stability of the processing line.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
fig. 2 is a partial analysis reference diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
referring to fig. 1 to 2, the present invention is a pressure sensor production line processing operation monitoring system based on data analysis, which comprises a monitoring platform, a data acquisition unit, a stability evaluation unit, a supply monitoring unit, a stacking flow unit, a production fusion unit, a trend evaluation unit and a production line management unit, wherein the monitoring platform is in unidirectional communication connection with the data acquisition unit, the stability evaluation unit, the supply monitoring unit and the stacking flow unit are all in unidirectional communication connection with the production line management unit and the production fusion unit, the production fusion unit is in unidirectional communication connection with the production line management unit, and the production fusion unit is in bidirectional communication connection with the trend evaluation unit;
when the supervision platform generates a pipe transporting instruction, the pipe transporting instruction is immediately sent to the data acquisition unit, the data acquisition unit immediately acquires equipment risk data, auxiliary material supply data and product accumulation data of a processing production line after receiving the pipe transporting instruction, the equipment risk data comprises an operation characteristic value, an environment influence value and a self management value, the auxiliary material supply data comprises a supply delay value and a material scheduling value, the product accumulation data comprises an accumulation growth rate, accumulation times and accumulation total time length, the equipment risk data, the auxiliary material supply data and the product accumulation data are respectively sent to the stability evaluation unit, the supply supervision unit and the accumulation flow unit, the stability evaluation unit immediately carries out production line processing stability evaluation analysis on the equipment risk data after receiving the equipment risk data so as to judge whether the equipment operation stability in the processing production line is normal or not, so as to ensure the operation safety of the processing production line, and on one hand, the equipment in the processing production line is helped to carry out operation supervision and early warning on the other hand, the equipment is helped to carry out integral evaluation on the operation stability of the processing production line, and the specific production line processing stability evaluation analysis process is as follows:
acquiring the duration of a period of operation of a processing production line, marking a time threshold value, dividing the time threshold value into i sub-time periods, wherein i is a natural number larger than zero, marking each device in the processing production line as g, g is a natural number larger than zero, acquiring an operation characteristic value YTIG and an environment influence value HJig of each device in the processing production line in each sub-time period, wherein the operation characteristic value YTIG represents a part of a product value obtained by carrying out data normalization on an abnormal device operation mean value and a vibration amplitude mean value and exceeding a preset threshold value, the environment influence value HJig represents an area surrounded by a line segment above the preset environment temperature characteristic curve and the preset environment temperature characteristic curve, and then an acute angle formed by intersecting the environment dust concentration curve with the preset environment dust concentration threshold value curve for the first time is acquired by carrying out data normalization on the product value, and meanwhile, acquiring an acute angle management value ZGg of each device in the processing production line in the time threshold value, wherein the self management value ZGg represents a sum value obtained by carrying out data normalization on a fault interval mean value and a maintenance interval mean value, and the required to indicate that the operation characteristic value HJig is located above the preset environment temperature characteristic curve and the preset environment temperature characteristic curve is located on the area surrounded by the preset environment temperature characteristic curve, and the value is larger than the corresponding to the abnormal operation threshold value in the processing line;
in the number of sub-time periods X, an operation characteristic value YTIG and an environment influence value HJig are respectively used as Y axes to establish a rectangular coordinate system, an operation characteristic value curve and an environment influence value curve are drawn in a dot drawing mode, and then change trend values of the operation characteristic value curve and the environment influence value curve are respectively obtained from the operation characteristic value curve and the environment influence value curve and are respectively marked as characteristic trend values and interference trend values, and the characteristic trend values TQg and the interference trend values GQg are respectively marked as TQg and GQg, and are two influence parameters reflecting the operation states of equipment in a processing production line;
comparing the characteristic trend value TQg, the interference trend value GQg and the self-management value ZGg with a preset characteristic trend value threshold, a preset interference trend value threshold and a preset self-management value threshold which are recorded and stored in the product line management unit, if the characteristic trend value TQg, the interference trend value GQg and the self-management value ZGg are not met and are smaller than the preset characteristic trend value threshold, the preset interference trend value threshold and the preset self-management value threshold, generating a feedback command, sending the feedback command to the product line management unit, immediately displaying a preset early warning text corresponding to the feedback command after the feedback command is received by the product line management unit, so as to manage equipment corresponding to the feedback command, improve the operation safety and the processing stability of the equipment corresponding to the feedback command, and when the feedback command is generated, acquiring the number of the equipment corresponding to the feedback command, marking the ratio of the number of the equipment corresponding to the feedback command to the total number of the equipment in the processing line as a stable interference value, and comparing the stable interference value with the preset stable interference value threshold stored in the product line management unit:
if the ratio between the stable interference value and the preset stable interference value threshold is smaller than 1, no signal is generated;
if the ratio between the stable interference value and the preset stable interference value threshold is greater than or equal to 1, generating a risk signal, and sending the risk signal to a production line management unit, wherein the production line management unit immediately displays preset early warning characters corresponding to the risk signal after receiving the risk signal so as to improve the control force of the processing production line, ensure the running stability and safety of the processing production line, and further facilitate the improvement of the production efficiency of the processing production line and the running supervision early warning effect of each device in the processing production line;
the supply supervision unit immediately carries out production material supply influence operation on the auxiliary material supply data after receiving the auxiliary material supply data so as to know the influence condition of the auxiliary material supply on the production of the processing production line, so that the auxiliary material supply is reasonably adjusted, the influence degree of the auxiliary material supply on the production of the processing production line is reduced, the production stability of the processing production line is improved, and the specific production material supply influence operation process is as follows:
obtaining a supply delay value of the processing production line in a time threshold, wherein the supply delay value represents a product value obtained by carrying out data normalization processing on the sum of the number of times of supply delay of auxiliary materials and the part of the total sum of the supply delay time exceeding a preset supply delay time threshold, comparing the supply delay value with a stored preset supply delay value threshold, and if the supply delay value is larger than the preset supply delay value threshold, marking the part of the supply delay value larger than the preset supply delay value threshold as a supply delay value, wherein the larger the value of the supply delay value is, the larger the abnormal risk of the production efficiency of the processing production line is;
acquiring a material scheduling value of a processing production line in a time threshold, wherein the material scheduling value represents a ratio of a part of a scheduling interval time length average value of a supplied material exceeding a preset scheduling interval time length average value to a data normalization processing of a supplied material scheduling transportation speed, comparing the material scheduling value with a preset material scheduling value threshold, and analyzing the ratio, if the material scheduling value is larger than the preset material scheduling value threshold, marking a part of the material scheduling value larger than the preset material scheduling value threshold as a scheduling risk value, wherein the larger the value of the scheduling risk value is, the larger the abnormal risk of the production efficiency of the processing production line is;
comparing the supply delay value and the scheduling risk value with a preset supply delay value threshold value and a preset scheduling risk value threshold value which are recorded and stored in the supply delay value and the scheduling risk value:
if the supply delay value is smaller than the preset supply delay value threshold value and the scheduling risk value is smaller than the preset scheduling risk value threshold value, no signal is generated;
if the supply delay value is greater than or equal to a preset supply delay value threshold value or the scheduling risk value is greater than or equal to a preset scheduling risk value threshold value, an influence signal is generated and sent to the line management unit, and after the influence signal is received, the line management unit immediately displays preset early warning characters corresponding to the influence signal, so that the auxiliary material supply is reasonably adjusted, the influence degree of the auxiliary material supply on the production of the processing line is reduced, and the production stability of the processing line is improved.
Embodiment two:
the pile-up flow unit immediately carries out pile-up fluidity supervision and evaluation analysis on the product pile-up data after receiving the product pile-up data so as to judge the influence condition of the pile-up of the rear end of the processed product on the flow of the processing production line, so as to treat the pile-up product in time, reduce the influence degree of the pile-up product on the production efficiency and the running flow of the processing production line, and the specific pile-up fluidity supervision and evaluation analysis process is as follows:
acquiring the accumulation times and the accumulation total duration of the processing production lines in each sub-time period, further acquiring accumulation values obtained by carrying out data normalization processing on the accumulation times and the accumulation total duration of the processing production lines in each sub-time period, marking the accumulation values as accumulation risk values, simultaneously acquiring the accumulation growth rates of the processing production lines in each sub-time period, and respectively marking the accumulation risk values and the accumulation growth rates as DFi and DSi;
according to the formulaObtaining a production line flow risk coefficient, wherein a1 and a2 are preset scale factor coefficients of a stacking risk value and a stacking growth rate respectively, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that calculation results are more accurate, a1 and a2 are positive numbers larger than zero, a3 is a preset correction factor coefficient, the value is 1.172, li is the production line flow risk coefficient, the production line flow risk coefficient is compared with a stored preset production line flow risk coefficient threshold value, if the production line flow risk coefficient Li is larger than the preset production line flow risk coefficient threshold value, the production line flow risk coefficient Li is larger than the ratio of the number of sub-time periods corresponding to the preset production line flow risk coefficient threshold value to the total number of sub-time periods, the product line flow evaluation value is marked as a product line flow evaluation value, the product line flow evaluation value is sent to a production fusion unit, and the product line flow evaluation value is compared with the preset product flow evaluation threshold value stored in the product fusion unit:
if the line flow evaluation value is smaller than a preset line flow evaluation value threshold, no signal is generated;
if the line flow evaluation value is greater than or equal to a preset line flow evaluation value threshold, generating an early warning signal, and sending the early warning signal to a line management unit, wherein the line management unit immediately displays preset early warning characters corresponding to the early warning signal after receiving the early warning signal so as to process stacked products in time, thereby reducing the influence degree of the stacked products on the production efficiency and the running flow of the processing line;
the production fusion unit immediately carries out deep data fusion evaluation analysis on the production line flow evaluation value after receiving the production line flow evaluation value so as to know the overall production influence degree of front-end feeding, interruption equipment and rear-end products on the processing production line, so that the processing production line is reasonably managed by combining the overall influence condition, the overall operation stability and the production efficiency of the processing production line are ensured, and the specific deep data fusion evaluation analysis process is as follows:
the stable interference value is called from the stable evaluation unit, the supply delay value and the scheduling risk value are called from the supply supervision unit, meanwhile, the production line flow evaluation value of the processing production line in the time threshold is obtained, and the stable interference value, the supply delay value, the scheduling risk value and the production line flow evaluation value are respectively marked as WG, GT, DD and CL;
according to the formulaObtaining production interference risk coefficients, wherein f1, f2, f3 and f4 are respectively a stable interference value, a supply delay value, a scheduling risk value and a preset weight factor coefficient of a production line flow evaluation value, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset fault tolerance factor coefficient, the value is 2.211, R is a production interference risk coefficient, and the production interference risk coefficient R is compared with a preset production interference risk coefficient threshold value recorded and stored in the production interference risk coefficient R:
if the production interference risk coefficient R is smaller than a preset production interference risk coefficient threshold value, generating a normal signal and sending the normal signal to a trend evaluation unit;
if the production interference risk coefficient R is greater than or equal to a preset production interference risk coefficient threshold value, an interference signal is generated and sent to a production line management unit, and after the interference signal is received, the production line management unit immediately displays preset early warning characters corresponding to the interference signal so as to timely manage the whole processing production line, thereby ensuring the running stability and the production efficiency of the whole processing production line;
the trend evaluation unit immediately carries out production efficiency damage supervision trend analysis on the production interference risk coefficient R after receiving the normal signal so as to know whether the overall influence change trend suffered by the production efficiency of the pressure sensor processing production line is normal or not, so that the processing production line is reasonably managed in time, and meanwhile, the trend evaluation unit is favorable for reasonably adjusting the management decision of the processing production line so as to ensure the production efficiency and the production stability of the processing production line, and the specific production efficiency supervision trend analysis process is as follows:
the method comprises the steps of obtaining production interference risk coefficients Rk of normal processing production lines in k time thresholds, wherein k is a natural number larger than zero, establishing a rectangular coordinate system with the number of sub-time periods as an X axis and the production interference risk coefficients Rk as a Y axis, drawing a production interference risk coefficient curve in a dot drawing mode, further obtaining an area surrounded by the production interference risk coefficient curve and the X axis, marking the area surrounded by the production interference risk coefficient curve and the X axis as an efficiency trend value, and comparing the efficiency trend value with a preset efficiency trend value threshold value recorded and stored in the efficiency trend value to analyze:
if the ratio between the efficiency trend value and the preset efficiency trend value threshold is smaller than 1, no signal is generated;
if the ratio between the efficiency trend value and the preset efficiency trend value threshold is greater than or equal to 1, generating a regulation and control signal, and sending the regulation and control signal to a production line management unit through a production fusion unit, wherein the production line management unit immediately displays preset early warning characters corresponding to the regulation and control signal after receiving the regulation and control signal, so that the processing production line can be reasonably managed in time, and meanwhile, the reasonable adjustment of the management decision of the processing production line is facilitated, so that the production efficiency and the production stability of the processing production line are ensured;
in summary, the invention performs supervision analysis on the production of the processing production line in a point-to-surface manner to improve the production efficiency and the production stability of the processing production line, and simultaneously ensures the operation safety of the processing production line, while performing analysis on the equipment risk data in a point manner, namely performing production line processing stability evaluation analysis on equipment risk data to judge whether the equipment operation stability in the processing production line is normal or not so as to ensure the operation safety and the control strength of the processing production line, performing production material supply influence operation on auxiliary material supply data so as to know the influence condition of the auxiliary material supply on the production of the processing production line, so as to reasonably adjust the auxiliary material supply, reduce the influence degree of the auxiliary material supply on the production of the processing production line, improve the production stability of the processing production line, and perform accumulation fluidity supervision evaluation analysis on the product accumulation data, to judge the influence condition of the rear end accumulation of the processed products on the flow of the processing production line so as to process the accumulated products in time, to reduce the influence degree of the accumulated products on the production efficiency and the running flow of the processing production line, and to analyze the flow evaluation value of the production line from the aspect of surface, namely to perform deep data fusion evaluation analysis on the flow evaluation value of the production line so as to understand the influence degree of front end feeding, interruption equipment and rear end products on the whole production of the processing production line, to reasonably manage the processing production line by combining the whole influence condition, to ensure the whole running stability and the production efficiency of the processing production line, to understand whether the whole influence change trend of the production efficiency of the processing production line of the pressure sensor is normal or not, so as to reasonably manage the processing production line in time, and to facilitate reasonable adjustment of the management decision of the processing production line, so as to ensure the production efficiency and the production stability of the processing production line.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (5)
1. The pressure sensor production line processing operation monitoring system based on data analysis is characterized by comprising a monitoring platform, a data acquisition unit, a stability evaluation unit, a supply monitoring unit, a stacking flow unit, a production fusion unit, a trend evaluation unit and a production line management unit;
when the supervision platform generates a management command, immediately sending the management command to a data acquisition unit, immediately acquiring equipment risk data, auxiliary material supply data and product accumulation data of a processing production line after the data acquisition unit receives the management command, wherein the equipment risk data comprises an operation characteristic value, an environment influence value and a self management value, the auxiliary material supply data comprises a supply delay value and a material scheduling value, the product accumulation data comprises an accumulation growth rate, accumulation times and accumulation total time length, the equipment risk data, the auxiliary material supply data and the product accumulation data are respectively sent to a stability evaluation unit, a supply supervision unit and an accumulation flow unit, the stability evaluation unit immediately carries out production line processing stability evaluation analysis on the equipment risk data after receiving the equipment risk data, sends an obtained feedback command to a production line management unit and sends an obtained risk signal to the production line management unit;
the supply supervision unit immediately performs production material supply influence operation on the auxiliary material supply data after receiving the auxiliary material supply data, and sends an obtained influence signal to the production line management unit;
the stacking flow unit immediately performs stacking fluidity supervision and evaluation analysis on the product stacking data after receiving the product stacking data, sends the obtained product line flow evaluation value to the production fusion unit, and sends the obtained early warning signal to the product line management unit;
the production fusion unit immediately carries out deep data fusion evaluation analysis on the production line flow evaluation value after receiving the production line flow evaluation value, sends the obtained normal signal to the trend evaluation unit, and sends the obtained interference signal to the production line management unit;
the trend evaluation unit immediately carries out production efficiency damage supervision trend analysis on the production interference risk coefficient R after receiving the normal signal, and sends the obtained regulation and control signal to the production line management unit through the production fusion unit;
the production line processing stability evaluation analysis process of the stability evaluation unit is as follows:
s1: acquiring the time length of a processing production line in a period of operation, marking a time threshold value, dividing the time threshold value into i sub-time periods, wherein i is a natural number larger than zero, marking each device in the processing production line as g, g is a natural number larger than zero, acquiring an operation characteristic value YTIG and an environment influence value HJig of each device in the processing production line in each sub-time period, wherein the operation characteristic value YTIG represents a part of a product value obtained by carrying out data normalization on an abnormal equipment operation mean value and a vibration amplitude mean value and exceeding a preset threshold value, the environment influence value HJig represents an area surrounded by a line segment above the preset environment temperature characteristic curve and the preset environment temperature characteristic curve, and then carrying out data normalization on the product value formed by intersecting an environment dust concentration curve with the preset environment dust concentration threshold value curve for the first time, and acquiring an acute angle management value ZGg of each device in the processing production line in the time threshold, wherein the self management value ZGg represents a sum value obtained by carrying out data normalization on a fault interval mean value and a maintenance interval mean value;
s2: in the number of sub-time periods X, respectively taking an operation characteristic value YTIG and an environment influence value HJig as Y axes to establish a rectangular coordinate system, drawing an operation characteristic value curve and an environment influence value curve in a dot drawing mode, further respectively obtaining the change trend values of the operation characteristic value curve and the environment influence value curve from the operation characteristic value curve and the environment influence value curve, and respectively marking the change trend values as characteristic trend values and interference trend values, wherein the numbers are TQg and GQg respectively;
s3: comparing the characteristic trend value TQg, the interference trend value GQg and the self-management value ZGg with a preset characteristic trend value threshold value, a preset interference trend value threshold value and a preset self-management value threshold value which are recorded and stored in the processing line, if the characteristic trend value TQg, the interference trend value GQg and the self-management value ZGg are not met and are smaller than the preset characteristic trend value threshold value, the preset interference trend value threshold value and the preset self-management value threshold value, generating a feedback instruction, obtaining the number of devices corresponding to the feedback instruction, marking the ratio of the number of devices corresponding to the feedback instruction to the total number of devices in the processing line as a stable interference value, and comparing the stable interference value with the preset stable interference value threshold value recorded and stored in the processing line:
if the ratio between the stable interference value and the preset stable interference value threshold is smaller than 1, no signal is generated;
and if the ratio between the stable interference value and the preset stable interference value threshold is greater than or equal to 1, generating a risk signal.
2. The data analysis based pressure sensor line process run monitoring system of claim 1, wherein the production material supply impact operation process of the supply monitoring unit is as follows:
t1: obtaining a supply delay value of a processing production line in a time threshold, wherein the supply delay value represents a product value obtained by carrying out data normalization processing on the sum of the supply delay times of auxiliary materials and the part of the total sum of the supply delay time exceeding a preset supply delay time threshold, comparing the supply delay value with a stored preset supply delay value threshold, and marking the part of the supply delay value larger than the preset supply delay value threshold as a supply delay value if the supply delay value is larger than the preset supply delay value threshold;
t2: acquiring a material scheduling value of a processing production line in a time threshold, wherein the material scheduling value represents a ratio of a part of a scheduling interval time average value of a supplied material exceeding a preset scheduling interval time average value to a data normalization processing of a supplied material scheduling transportation speed, comparing the material scheduling value with a preset material scheduling value threshold, if the material scheduling value is larger than the preset material scheduling value threshold, marking a part of the material scheduling value larger than the preset material scheduling value threshold as a scheduling risk value, and comparing a supply delay value and a scheduling risk value with a preset supply delay value threshold and a preset scheduling risk value threshold which are recorded and stored in the material scheduling value and the material scheduling risk value:
if the supply delay value is smaller than the preset supply delay value threshold value and the scheduling risk value is smaller than the preset scheduling risk value threshold value, no signal is generated;
and generating an influence signal if the supply delay value is greater than or equal to a preset supply delay value threshold or the scheduling risk value is greater than or equal to a preset scheduling risk value threshold.
3. The data analysis-based pressure sensor production line process operation monitoring system of claim 1, wherein the stack fluidity monitoring, evaluating and analyzing process of the stack flow unit is as follows:
acquiring the accumulation times and the accumulation total time length of the processing production line in each sub-time period, further acquiring accumulation values obtained by carrying out data normalization processing on the accumulation times and the accumulation total time length of the processing production line in each sub-time period, marking the accumulation values as accumulation risk values, acquiring the accumulation growth rate of the processing production line in each sub-time period, and respectively marking the accumulation risk values and the accumulation growth rate as DFi and DSi;
obtaining a production line flow risk coefficient Li according to a formula, comparing the production line flow risk coefficient Li with a stored preset production line flow risk coefficient threshold, if the production line flow risk coefficient Li is larger than the preset production line flow risk coefficient threshold, comparing the production line flow risk coefficient Li with the ratio of the number of sub-time periods corresponding to the preset production line flow risk coefficient threshold to the total number of sub-time periods, marking the ratio as a production line flow evaluation value, and comparing the production line flow evaluation value with a preset production line flow evaluation value threshold which is recorded in the production line flow evaluation value and is stored in the production line flow evaluation value:
if the line flow evaluation value is smaller than a preset line flow evaluation value threshold, no signal is generated;
and if the line flow evaluation value is greater than or equal to a preset line flow evaluation value threshold, generating an early warning signal.
4. The data analysis-based pressure sensor production line process operation monitoring system according to claim 1, wherein the in-depth data fusion evaluation analysis process of the production fusion unit is as follows:
the stable interference value is called from the stable evaluation unit, the supply delay value and the scheduling risk value are called from the supply supervision unit, meanwhile, the production line flow evaluation value of the processing production line in the time threshold is obtained, and the stable interference value, the supply delay value, the scheduling risk value and the production line flow evaluation value are respectively marked as WG, GT, DD and CL;
according to the formulaObtaining production interference risk coefficients, wherein f1, f2, f3 and f4 are respectively a stable interference value, a supply delay value, a scheduling risk value and a preset weight factor coefficient of a production line flow evaluation value, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset fault tolerance factor coefficient, the value is 2.211, R is a production interference risk coefficient, and the production interference risk coefficient R is compared with a preset production interference risk coefficient threshold value recorded and stored in the production interference risk coefficient R:
if the production interference risk coefficient R is smaller than a preset production interference risk coefficient threshold value, generating a normal signal;
and if the production interference risk coefficient R is greater than or equal to a preset production interference risk coefficient threshold value, generating an interference signal.
5. The data analysis-based pressure sensor production line process operation monitoring system of claim 4, wherein the production efficiency monitoring trend analysis process of the trend evaluation unit is as follows:
the method comprises the steps of obtaining production interference risk coefficients Rk of normal processing production lines in k time thresholds, wherein k is a natural number larger than zero, establishing a rectangular coordinate system with the number of sub-time periods as an X axis and the production interference risk coefficients Rk as a Y axis, drawing a production interference risk coefficient curve in a dot drawing mode, further obtaining an area surrounded by the production interference risk coefficient curve and the X axis, marking the area surrounded by the production interference risk coefficient curve and the X axis as an efficiency trend value, and comparing the efficiency trend value with a preset efficiency trend value threshold value recorded and stored in the efficiency trend value to analyze:
if the ratio between the efficiency trend value and the preset efficiency trend value threshold is smaller than 1, no signal is generated;
and if the ratio between the efficiency trend value and the preset efficiency trend value threshold is greater than or equal to 1, generating a regulating and controlling signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311688011.9A CN117408641B (en) | 2023-12-11 | 2023-12-11 | Pressure sensor production line processing operation supervision system based on data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311688011.9A CN117408641B (en) | 2023-12-11 | 2023-12-11 | Pressure sensor production line processing operation supervision system based on data analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117408641A true CN117408641A (en) | 2024-01-16 |
| CN117408641B CN117408641B (en) | 2024-02-20 |
Family
ID=89494689
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311688011.9A Active CN117408641B (en) | 2023-12-11 | 2023-12-11 | Pressure sensor production line processing operation supervision system based on data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117408641B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117571200A (en) * | 2024-01-16 | 2024-02-20 | 无锡芯感智半导体有限公司 | Pressure sensor water pressure fatigue test system based on artificial intelligence |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116633816A (en) * | 2023-05-30 | 2023-08-22 | 合肥正非数字科技有限公司 | Media display terminal safety supervision early warning system based on enterprise digitization |
| CN116800517A (en) * | 2023-07-13 | 2023-09-22 | 江西睿文高科技有限公司 | Data acquisition intelligent management system based on data analysis |
| CN116820050A (en) * | 2023-06-30 | 2023-09-29 | 广西兵将自动化科技有限公司 | Automatic control system for production line based on industrial Internet |
| CN116859857A (en) * | 2023-07-31 | 2023-10-10 | 安徽中恒电喷系统有限公司 | Intelligent management system of fuel pump assembly production line based on remote control |
| CN117032004A (en) * | 2023-06-29 | 2023-11-10 | 苏州诺达佳自动化技术有限公司 | Industrial production automatic control platform based on Internet of things |
| CN117060594A (en) * | 2023-10-11 | 2023-11-14 | 宁波天仑电气股份有限公司 | Power distribution operation monitoring system based on Internet of things |
| CN117132064A (en) * | 2023-08-30 | 2023-11-28 | 蚌埠市高远光电有限公司 | Liquid crystal display produces line operation management system based on thing networking |
| CN117193203A (en) * | 2023-10-09 | 2023-12-08 | 安徽众成合金科技有限公司 | Alloy material processing production line monitoring system based on data analysis |
-
2023
- 2023-12-11 CN CN202311688011.9A patent/CN117408641B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116633816A (en) * | 2023-05-30 | 2023-08-22 | 合肥正非数字科技有限公司 | Media display terminal safety supervision early warning system based on enterprise digitization |
| CN117032004A (en) * | 2023-06-29 | 2023-11-10 | 苏州诺达佳自动化技术有限公司 | Industrial production automatic control platform based on Internet of things |
| CN116820050A (en) * | 2023-06-30 | 2023-09-29 | 广西兵将自动化科技有限公司 | Automatic control system for production line based on industrial Internet |
| CN116800517A (en) * | 2023-07-13 | 2023-09-22 | 江西睿文高科技有限公司 | Data acquisition intelligent management system based on data analysis |
| CN116859857A (en) * | 2023-07-31 | 2023-10-10 | 安徽中恒电喷系统有限公司 | Intelligent management system of fuel pump assembly production line based on remote control |
| CN117132064A (en) * | 2023-08-30 | 2023-11-28 | 蚌埠市高远光电有限公司 | Liquid crystal display produces line operation management system based on thing networking |
| CN117193203A (en) * | 2023-10-09 | 2023-12-08 | 安徽众成合金科技有限公司 | Alloy material processing production line monitoring system based on data analysis |
| CN117060594A (en) * | 2023-10-11 | 2023-11-14 | 宁波天仑电气股份有限公司 | Power distribution operation monitoring system based on Internet of things |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117571200A (en) * | 2024-01-16 | 2024-02-20 | 无锡芯感智半导体有限公司 | Pressure sensor water pressure fatigue test system based on artificial intelligence |
| CN117571200B (en) * | 2024-01-16 | 2024-03-22 | 无锡芯感智半导体有限公司 | Pressure sensor water pressure fatigue test system based on artificial intelligence |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117408641B (en) | 2024-02-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117408641B (en) | Pressure sensor production line processing operation supervision system based on data analysis | |
| CN116258431B (en) | Cold chain transportation safety remote monitoring system based on internet | |
| CN116820050A (en) | Automatic control system for production line based on industrial Internet | |
| CN117060594A (en) | Power distribution operation monitoring system based on Internet of things | |
| CN104858242B (en) | A kind of negative deviation of steel bar with rib monitoring system and minus deviation detect computational methods | |
| CN101870076A (en) | Method for predicting service life of guide pair of numerical control machine on basis of performance degradation model | |
| CN114326594A (en) | Machine tool performance evaluation system based on machine tool data and evaluation method thereof | |
| CN109306385B (en) | Blast furnace top pressure stability control system and control method thereof | |
| CN115102290A (en) | Real-time safety early warning system of smart power grids | |
| CN115290145B (en) | Intelligent feeding system and feeding method of solid waste weighing feeder | |
| CN114879622B (en) | Industrial control log auditing system and method based on multi-source data | |
| CN116800517A (en) | Data acquisition intelligent management system based on data analysis | |
| CN117454114B (en) | Subway tunnel tunneling blasting vibration safety monitoring device based on multi-point location distribution | |
| CN115358626A (en) | Safety inspection early warning system for mineral processing production equipment | |
| CN110749532A (en) | Hydraulic engineering seepage intelligent monitoring system and method | |
| CN114226282A (en) | A operating efficiency monitoring system for case and bag production line | |
| CN116893643A (en) | Intelligent robot driving track safety control system based on data analysis | |
| CN115657631A (en) | Intelligent monitoring system for industrial control equipment operation field environment | |
| CN117291316B (en) | Cabin positioning system for ship unloader based on laser scanner | |
| CN117268455A (en) | Monitoring system of engineering construction quality detection equipment | |
| CN115616993B (en) | Industrial equipment operation management and control system based on industrial machine vision detection technology | |
| CN116934162A (en) | Agricultural machinery equipment operation management and control system based on data analysis | |
| CN114012229A (en) | Intelligent control platform for resistance spot welding | |
| CN114862251A (en) | Casting production line management system with capacity management function | |
| CN110243138B (en) | Air separation equipment model feedforward control system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |