CN117492490B - Intelligent temperature control system for glass processing based on data analysis - Google Patents
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Abstract
The invention discloses an intelligent temperature control system for glass processing based on data analysis, which relates to a glass processing temperature control technology and solves the technical problem that in the prior art, the influence of equipment temperature and the influence of environmental temperature cannot be synchronously analyzed during glass processing, so that the influence analysis of the glass processing temperature is low-efficiency, in particular to the temperature influence analysis of a processing temperature influence analysis unit on the glass processing process, and the types of all sub-processes of the glass processing are divided; the historical processing analysis unit is used for carrying out historical processing analysis on glass processing, carrying out influence analysis on each sub-process of the processing flow in the historical processing process, carrying out efficiency analysis on temperature supply in the glass processing process by the temperature supply analysis unit, and evaluating the temperature satisfaction of the glass processing by the satisfaction evaluation unit.
Description
Technical Field
The invention relates to a glass processing temperature control technology, in particular to an intelligent glass processing temperature control system based on data analysis.
Background
Glass is an amorphous solid, can keep a certain shape, and is obtained by gradually cooling glass paste melt and gradually increasing the degree; glass products, glass cups for drinking water, glass windows, glass doors, screen protection glass on computer displays, glass buildings and the like are all seen everywhere, so far as electronic and display type glass is concerned, how it is processed by glass processing factories.
But in the prior art, when glass processing is performed, accurate temperature control is not performed, so that the qualification rate of glass products is reduced, and when glass processing is performed, the influence of equipment temperature and the influence of environmental temperature cannot be synchronously analyzed, so that the influence analysis of the glass processing temperature is low-efficiency, the control cannot be performed in time, and meanwhile, the satisfaction analysis cannot be performed on the glass processing, so that the temperature analysis control cannot be performed on a specific flow.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problems and provides an intelligent temperature control system for glass processing based on data analysis.
The aim of the invention can be achieved by the following technical scheme:
the intelligent temperature control system for glass processing based on data analysis comprises a server, wherein the server is in communication connection with a processing temperature influence analysis unit, a history processing analysis unit, a temperature supply analysis unit and a satisfaction evaluation unit;
The processing temperature influence analysis unit analyzes the temperature influence of the glass processing process, divides the glass processing process into i sub-processes, i is a natural number larger than 1, divides each sub-process of the glass processing process into types, uniformly marks the equipment temperature high influence process and the environment temperature high influence process as high influence processes, and uniformly marks the equipment temperature low influence process and the environment temperature low influence process as low influence processes;
The historical processing analysis unit is used for carrying out historical processing analysis on glass processing, carrying out influence analysis on each sub-process of the processing flow in the historical processing process, carrying out efficiency analysis on temperature supply in the glass processing process by the temperature supply analysis unit, and evaluating the temperature satisfaction of the glass processing by the satisfaction evaluation unit.
As a preferred embodiment of the invention, the operating process of the process temperature influence analysis unit is as follows:
The temperature peak rising speed of processing equipment corresponding to each sub-process in the glass processing process and the temperature maximum floating span of processing equipment corresponding to the sub-process under different production speeds are obtained, and compared with the peak rising speed threshold and the temperature maximum floating span threshold respectively:
If the temperature peak rising speed of the processing equipment corresponding to each sub-process exceeds the peak rising speed threshold value in the glass processing process or the temperature maximum floating span of the processing equipment corresponding to the sub-process exceeds the temperature maximum floating span threshold value under different production speeds, marking the corresponding sub-process as an equipment temperature high influence process; and if the temperature peak rising speed of the processing equipment corresponding to each sub-process in the glass processing process does not exceed the peak rising speed threshold value and the temperature maximum floating span of the processing equipment corresponding to the sub-process under different production speeds does not exceed the temperature maximum floating span threshold value, marking the corresponding sub-process as an equipment temperature low influence process.
As a preferred embodiment of the invention, the processing temperature value floating speed reduction is obtained and compared with the synchronous floating time period duty ratio threshold and the floating speed reduction threshold respectively when the processing temperature and the ambient temperature are synchronous in the execution process of each sub-process and when the processing temperature and the ambient temperature are asynchronous in the execution process of each sub-process in the glass processing process:
if the ratio of the time length of synchronous floating of the processing temperature and the ambient temperature exceeds the threshold value of the ratio of the synchronous floating time length in the execution process of each sub-process in the glass processing process, or the numerical value floating speed of the processing temperature exceeds the threshold value of the floating speed reduction when the processing temperature and the ambient temperature are asynchronous in the execution process of each sub-process, marking the current sub-process as an ambient temperature high influence process;
If the time length proportion of synchronous floating of the processing temperature and the ambient temperature in the execution process of each sub-process in the glass processing process does not exceed the synchronous floating time length proportion threshold value, and the numerical floating speed reduction of the processing temperature does not exceed the floating speed reduction threshold value when the processing temperature and the ambient temperature in the execution process of each sub-process are asynchronous, marking the current sub-process as an ambient temperature low influence process.
As a preferred embodiment of the invention, each sub-process of glass processing is classified, the high-influence process of equipment temperature and the high-influence process of environmental temperature are uniformly marked as high-influence processes, and the low-influence process of equipment temperature and the low-influence process of environmental temperature are uniformly marked as low-influence processes; acquiring the ratio of the execution time length of the high-impact flow to the execution time length of the low-impact flow in the period when the processing temperature is not in the set temperature range in the glass processing process, acquiring the yield failure rate increment of the corresponding period in the glass processing process, judging that the current processing temperature is abnormal, generating a processing temperature influence abnormal signal and sending the processing temperature influence abnormal signal to a server, and controlling the temperature of the current glass processing after the server receives the processing temperature influence abnormal signal if the ratio of the execution time length of the high-impact flow to the execution time length of the low-impact flow in the period when the processing temperature is not in the set temperature range exceeds a time length ratio threshold and the yield failure rate increment of the corresponding period in the glass processing process exceeds a failure rate increment threshold;
If the ratio of the execution time length of the high-influence flow to the execution time length of the low-influence flow in the period when the processing temperature is not in the set temperature range in the glass processing process does not exceed the time length ratio threshold value, and the yield failure rate increment of the corresponding period in the glass processing process does not exceed the failure rate increment threshold value, judging that the current processing temperature influences normal, generating a processing temperature influence normal signal and sending the processing temperature influence normal signal to a historical processing analysis unit.
As a preferred embodiment of the present invention, the history analysis unit operates as follows:
the method comprises the steps of obtaining the frequency that the numerical value of the sub-process processing temperature in the same type of glass processing process floats to exceed a set temperature and the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the sub-process processing temperature in the same type of glass processing process floats to exceed the set temperature, and comparing the frequency that the numerical value of the sub-process processing temperature in the same type of glass processing process floats to exceed the set temperature and the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the sub-process processing temperature in the same type of glass processing process floats to respectively with a temperature floating frequency threshold and an increasing speed threshold:
If the frequency of the numerical value of the processing temperature of the sub-process exceeds the set temperature and exceeds the temperature floating frequency threshold in the glass processing process of the same type, or the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the processing temperature of the sub-process is floating exceeds the increasing speed threshold, marking the corresponding sub-process as a high risk process; if the frequency of the numerical value floating of the processing temperature of the sub-process in the glass processing process of the same type exceeds the set temperature and does not exceed the temperature floating frequency threshold, and the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the processing temperature of the sub-process is floating does not exceed the increasing speed threshold, marking the corresponding sub-process as a low risk process.
As a preferred embodiment of the invention, the temperature supply analysis unit operates as follows:
The method comprises the steps of obtaining a numerical deviation between a set numerical value of a processing environment temperature and an actual environment temperature in a glass processing process and a reciprocating floating span value of a temperature value when the processing environment temperature is constant in the glass processing process, and comparing the numerical deviation between the set numerical value of the processing environment temperature and the actual environment temperature in the glass processing process and the reciprocating floating span value of the temperature value when the processing environment temperature is constant in the glass processing process with a temperature numerical deviation threshold value and a reciprocating floating span value threshold value respectively:
if the deviation of the set value of the processing environment temperature and the actual environment temperature exceeds a temperature value deviation threshold value in the glass processing process, or the reciprocating floating span value of the temperature value exceeds a reciprocating floating span value threshold value when the processing environment temperature is constant in the glass processing process, judging that the glass processing temperature supply analysis is abnormal, generating a temperature supply abnormal signal and sending the temperature supply abnormal signal to a server, and performing temperature supply control on the glass processing after the server receives the temperature supply abnormal signal;
If the deviation of the set value of the processing environment temperature and the actual environment temperature in the glass processing process does not exceed the temperature value deviation threshold value and the reciprocating floating span value of the temperature value does not exceed the reciprocating floating span value threshold value when the processing environment temperature is constant in the glass processing process, judging that the glass processing temperature supply analysis is normal, generating a temperature supply normal signal and sending the temperature supply normal signal to a server.
As a preferred embodiment of the invention, the operation of the satisfaction evaluation unit is as follows:
Acquiring a time length duty ratio of inconsistent actual temperature values and set temperature values of a high-impact process in the glass processing process, and a temperature control time length delay amount after temperature deviation of a high-risk process in the glass processing process; acquiring the flow quantity increasing speed of repeated temperature value deviation of the same low-risk flow in the glass processing process;
Obtaining a satisfaction evaluation coefficient of glass processing through analysis; comparing the satisfaction evaluation coefficient of the glass processing to a satisfaction evaluation coefficient threshold:
if the satisfaction evaluation coefficient of the glass processing exceeds the satisfaction evaluation coefficient threshold, generating a satisfaction abnormal signal and sending the satisfaction abnormal signal to a server, and after the server receives the satisfaction abnormal signal, performing temperature control on the glass processing flow and simultaneously performing temperature influence analysis on each sub-flow; and if the satisfaction evaluation coefficient of the glass processing does not exceed the satisfaction evaluation coefficient threshold, generating a satisfaction normal signal and sending the satisfaction normal signal to a server.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the method, temperature influence analysis is carried out on the glass processing process, the influence of the temperature in the glass processing process is judged, meanwhile, whether the equipment temperature and the environment temperature in the glass processing process influence the glass processing quality or not is analyzed, and the temperature influence in the glass processing process is accurately analyzed, so that the glass processing quality can be ensured, and the glass processing quality is prevented from being influenced by the temperature; and carrying out historical processing analysis on glass processing, carrying out influence analysis on each sub-process of the processing flow in the historical processing process, judging the influence of each sub-process on the whole processing flow, improving the rationality and pertinence of glass processing temperature control, and further improving the glass processing operation efficiency.
2. According to the invention, efficiency analysis is carried out on temperature supply in the glass processing process, and whether the temperature supply efficiency in the glass processing process meets the actual requirement is judged, so that high temperature control monitoring efficiency in the glass processing process is ensured, the temperature control on the glass processing is convenient in time, and the operation efficiency of the glass processing is improved; and evaluating the temperature satisfaction of the glass processing, and judging whether the processing temperature satisfaction evaluation is qualified or not in the glass processing process, so that the temperature monitoring control is performed on the glass processing, the high efficiency of the glass processing is ensured, and the quality reduction of glass products caused by low temperature control efficiency in the glass processing process is avoided.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, 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.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, an intelligent temperature control system for glass processing based on data analysis includes a server, wherein the server is in communication connection with a processing temperature influence analysis unit, a history processing analysis unit, a temperature supply analysis unit and a satisfaction evaluation unit, and the server is in two-way communication connection with the processing temperature influence analysis unit, the history processing analysis unit, the temperature supply analysis unit and the satisfaction evaluation unit;
The server generates a processing temperature influence analysis signal and sends the processing temperature influence analysis signal to a processing temperature influence analysis unit, the processing temperature influence analysis unit receives the processing temperature influence analysis signal, then carries out temperature influence analysis on the glass processing process, judges the influence of temperature in the glass processing process, simultaneously analyzes whether the equipment temperature and the environmental temperature in the glass processing process influence the glass processing quality or not, and carries out accurate temperature influence analysis on the glass processing process, so that the glass processing quality can be ensured, and the glass processing quality is prevented from being influenced by the temperature;
Dividing a glass processing flow into i sub-flows, wherein i is a natural number larger than 1, acquiring the temperature peak rising speed of processing equipment corresponding to each sub-flow in the glass processing process and the temperature maximum floating span of processing equipment corresponding to the sub-flow under different production speeds, and comparing the temperature peak rising speed of processing equipment corresponding to each sub-flow in the glass processing process and the temperature maximum floating span of processing equipment corresponding to the sub-flow under different production speeds with a peak rising speed threshold and a temperature maximum floating span threshold respectively:
If the temperature peak rising speed of the processing equipment corresponding to each sub-process exceeds the peak rising speed threshold value in the glass processing process or the temperature maximum floating span of the processing equipment corresponding to the sub-process exceeds the temperature maximum floating span threshold value under different production speeds, marking the corresponding sub-process as an equipment temperature high influence process; if the temperature peak rising speed of the processing equipment corresponding to each sub-process in the glass processing process does not exceed the peak rising speed threshold value and the temperature maximum floating span of the processing equipment corresponding to the sub-process at different production speeds does not exceed the temperature maximum floating span threshold value, marking the corresponding sub-process as an equipment temperature low influence process;
Acquiring a time length proportion of synchronous floating of the processing temperature and the ambient temperature in each sub-process execution process in the glass processing process and a numerical value floating speed reduction of the processing temperature when the processing temperature and the ambient temperature in each sub-process execution process are asynchronous, and comparing the time length proportion of synchronous floating of the processing temperature and the ambient temperature in each sub-process execution process in the glass processing process and the numerical value floating speed reduction of the processing temperature with a synchronous floating time length proportion threshold value and a floating speed reduction threshold value respectively when the processing temperature and the ambient temperature in each sub-process execution process are asynchronous:
if the ratio of the time length of synchronous floating of the processing temperature and the ambient temperature exceeds the threshold value of the ratio of the synchronous floating time length in the execution process of each sub-process in the glass processing process, or the numerical value floating speed of the processing temperature exceeds the threshold value of the floating speed reduction when the processing temperature and the ambient temperature are asynchronous in the execution process of each sub-process, marking the current sub-process as an ambient temperature high influence process; if the ratio of the time length of synchronous floating of the processing temperature and the ambient temperature in the execution process of each sub-process in the glass processing process does not exceed the threshold value of the synchronous floating time length, and the numerical floating speed of the processing temperature does not exceed the threshold value of the floating speed reduction when the processing temperature and the ambient temperature in the execution process of each sub-process are asynchronous, marking the current sub-process as an ambient temperature low-influence process;
Classifying types of all sub-processes of glass processing, uniformly marking the high-influence process of equipment temperature and the high-influence process of environmental temperature as high-influence processes, and uniformly marking the low-influence process of equipment temperature and the low-influence process of environmental temperature as low-influence processes; acquiring the ratio of the execution time length of the high-impact flow to the execution time length of the low-impact flow in the period when the processing temperature is not in the set temperature range in the glass processing process, acquiring the yield failure rate increment of the corresponding period in the glass processing process, judging that the current processing temperature is abnormal, generating a processing temperature influence abnormal signal and sending the processing temperature influence abnormal signal to a server, and controlling the temperature of the current glass processing after the server receives the processing temperature influence abnormal signal if the ratio of the execution time length of the high-impact flow to the execution time length of the low-impact flow in the period when the processing temperature is not in the set temperature range exceeds a time length ratio threshold and the yield failure rate increment of the corresponding period in the glass processing process exceeds a failure rate increment threshold;
If the ratio of the execution time length of the high-influence flow to the execution time length of the low-influence flow in the period of the processing temperature which is not in the set temperature range in the glass processing process does not exceed the time length ratio threshold value, and the yield failure rate increment of the corresponding period in the glass processing process does not exceed the failure rate increment threshold value, judging that the current processing temperature influences normal, generating a processing temperature influence normal signal and sending the processing temperature influence normal signal to a historical processing analysis unit;
After receiving the normal signal of the influence of the processing temperature, the history processing analysis unit carries out history processing analysis on the glass processing, carries out influence analysis on each sub-process of the processing flow according to the history processing process, judges the influence of each sub-process on the whole processing flow, improves the rationality and pertinence of the temperature control of the glass processing, and further improves the operation efficiency of the glass processing;
the method comprises the steps of obtaining the frequency that the numerical value of the sub-process processing temperature in the same type of glass processing process floats to exceed a set temperature and the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the sub-process processing temperature in the same type of glass processing process floats to exceed the set temperature, and comparing the frequency that the numerical value of the sub-process processing temperature in the same type of glass processing process floats to exceed the set temperature and the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the sub-process processing temperature in the same type of glass processing process floats to respectively with a temperature floating frequency threshold and an increasing speed threshold:
If the frequency of the numerical value of the processing temperature of the sub-process exceeds the set temperature and exceeds the temperature floating frequency threshold in the glass processing process of the same type, or the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the processing temperature of the sub-process is floating exceeds the increasing speed threshold, marking the corresponding sub-process as a high risk process; if the frequency of the numerical value floating of the processing temperature of the sub-process in the glass processing process of the same type exceeds the set temperature and does not exceed the temperature floating frequency threshold, and the increasing speed of the semi-finished product rate of the processed glass product after the numerical value floating of the processing temperature of the sub-process does not exceed the increasing speed threshold, marking the corresponding sub-process as a low risk process;
The high risk process and the low risk process are sent to a server together;
After the server receives the temperature supply analysis signal, the temperature supply analysis signal is generated and sent to the temperature supply analysis unit, and after the temperature supply analysis unit receives the temperature supply analysis signal, efficiency analysis is carried out on temperature supply in the glass processing process, and whether the temperature supply efficiency in the glass processing process meets the actual requirement is judged, so that the high temperature control monitoring efficiency in the glass processing process is ensured, the temperature control on the glass processing is conveniently carried out in time, and the operating efficiency of the glass processing is improved;
The method comprises the steps of obtaining a numerical deviation between a set numerical value of a processing environment temperature and an actual environment temperature in a glass processing process and a reciprocating floating span value of a temperature value when the processing environment temperature is constant in the glass processing process, and comparing the numerical deviation between the set numerical value of the processing environment temperature and the actual environment temperature in the glass processing process and the reciprocating floating span value of the temperature value when the processing environment temperature is constant in the glass processing process with a temperature numerical deviation threshold value and a reciprocating floating span value threshold value respectively:
if the deviation of the set value of the processing environment temperature and the actual environment temperature exceeds a temperature value deviation threshold value in the glass processing process, or the reciprocating floating span value of the temperature value exceeds a reciprocating floating span value threshold value when the processing environment temperature is constant in the glass processing process, judging that the glass processing temperature supply analysis is abnormal, generating a temperature supply abnormal signal and sending the temperature supply abnormal signal to a server, and performing temperature supply control on the glass processing after the server receives the temperature supply abnormal signal;
If the numerical deviation between the set numerical value of the processing environment temperature and the actual environment temperature in the glass processing process does not exceed the numerical deviation threshold value of the temperature, and the reciprocating floating span value of the temperature value does not exceed the threshold value of the reciprocating floating span value when the processing environment temperature is constant in the glass processing process, judging that the glass processing temperature supply analysis is normal, generating a temperature supply normal signal and sending the temperature supply normal signal to a server;
After receiving the normal temperature supply signal, the server generates a satisfaction evaluation signal and sends the satisfaction evaluation signal to a satisfaction evaluation unit, and after receiving the satisfaction evaluation signal, the satisfaction evaluation unit evaluates the temperature satisfaction of the glass processing and judges whether the processing temperature satisfaction evaluation is qualified or not in the glass processing process, so that the temperature monitoring control is performed on the glass processing, the high efficiency of the glass processing is ensured, and the quality reduction of glass products caused by low temperature control efficiency in the glass processing process is avoided;
Acquiring a time length proportion of inconsistent high-impact flow actual temperature values and set temperature values in the glass processing process and a temperature control time length delay amount after temperature deviation occurs in a high-risk flow in the glass processing process, and respectively marking the time length proportion of inconsistent high-impact flow actual temperature values and set temperature values in the glass processing process and the temperature control time length delay amount after temperature deviation occurs in the high-risk flow in the glass processing process as SCZ and WDB; acquiring the flow number increasing speed of the temperature numerical value deviation repeatedly occurring in the same low-risk flow in the glass processing process, and marking the flow number increasing speed of the temperature numerical value deviation repeatedly occurring in the same low-risk flow in the glass processing process as ZJV;
obtaining a satisfaction evaluation coefficient G of glass processing through a formula , wherein f1, f2 and f3 are preset proportionality coefficients, and f1 is more than f2 and more than f3 is more than 1;
Comparing the glass processing satisfaction evaluation coefficient G with a satisfaction evaluation coefficient threshold value:
If the satisfaction evaluation coefficient G of the glass processing exceeds the satisfaction evaluation coefficient threshold, generating a satisfaction abnormal signal and sending the satisfaction abnormal signal to a server, and after the server receives the satisfaction abnormal signal, performing temperature control on the glass processing flow and performing temperature influence analysis on each sub-flow;
If the satisfaction evaluation coefficient G of the glass processing does not exceed the satisfaction evaluation coefficient threshold, generating a satisfaction normal signal and sending the satisfaction normal signal to a server.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
When the method is used, the processing temperature influence analysis unit analyzes the temperature influence of the glass processing process, divides the glass processing process into i sub-processes, i is a natural number larger than 1, divides each sub-process of the glass processing process into types, uniformly marks the equipment temperature high influence process and the environment temperature high influence process as high influence processes, and uniformly marks the equipment temperature low influence process and the environment temperature low influence process as low influence processes; the historical processing analysis unit is used for carrying out historical processing analysis on glass processing, carrying out influence analysis on each sub-process of the processing flow in the historical processing process, carrying out efficiency analysis on temperature supply in the glass processing process by the temperature supply analysis unit, and evaluating the temperature satisfaction of the glass processing by the satisfaction evaluation unit.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The intelligent temperature control system for glass processing based on data analysis comprises a server, and is characterized in that the server is in communication connection with a processing temperature influence analysis unit, a history processing analysis unit, a temperature supply analysis unit and a satisfaction evaluation unit;
The processing temperature influence analysis unit analyzes the temperature influence of the glass processing process, divides the glass processing process into i sub-processes, i is a natural number larger than 1, divides each sub-process of the glass processing process into types, uniformly marks the equipment temperature high influence process and the environment temperature high influence process as high influence processes, and uniformly marks the equipment temperature low influence process and the environment temperature low influence process as low influence processes;
The historical processing analysis unit is used for carrying out historical processing analysis on glass processing, carrying out influence analysis on each sub-process of the processing flow in the historical processing process, carrying out efficiency analysis on temperature supply in the glass processing process by the temperature supply analysis unit, and carrying out temperature satisfaction evaluation on the glass processing by the satisfaction evaluation unit;
The operation process of the processing temperature influence analysis unit is as follows:
The temperature peak rising speed of processing equipment corresponding to each sub-process in the glass processing process and the temperature maximum floating span of processing equipment corresponding to the sub-process under different production speeds are obtained, and compared with the peak rising speed threshold and the temperature maximum floating span threshold respectively:
If the temperature peak rising speed of the processing equipment corresponding to each sub-process exceeds the peak rising speed threshold value in the glass processing process or the temperature maximum floating span of the processing equipment corresponding to the sub-process exceeds the temperature maximum floating span threshold value under different production speeds, marking the corresponding sub-process as an equipment temperature high influence process; if the temperature peak rising speed of the processing equipment corresponding to each sub-process in the glass processing process does not exceed the peak rising speed threshold value and the temperature maximum floating span of the processing equipment corresponding to the sub-process at different production speeds does not exceed the temperature maximum floating span threshold value, marking the corresponding sub-process as an equipment temperature low influence process;
Acquiring a time length proportion of synchronous floating of the processing temperature and the ambient temperature in the execution process of each sub-process in the glass processing process and a numerical floating speed reduction of the processing temperature when the processing temperature and the ambient temperature in the execution process of each sub-process are asynchronous, and comparing the time length proportion with a synchronous floating time length proportion threshold value and a floating speed reduction threshold value respectively:
if the ratio of the time length of synchronous floating of the processing temperature and the ambient temperature exceeds the threshold value of the ratio of the synchronous floating time length in the execution process of each sub-process in the glass processing process, or the numerical value floating speed of the processing temperature exceeds the threshold value of the floating speed reduction when the processing temperature and the ambient temperature are asynchronous in the execution process of each sub-process, marking the current sub-process as an ambient temperature high influence process;
If the ratio of the time length of synchronous floating of the processing temperature and the ambient temperature in the execution process of each sub-process in the glass processing process does not exceed the threshold value of the synchronous floating time length, and the numerical floating speed of the processing temperature does not exceed the threshold value of the floating speed reduction when the processing temperature and the ambient temperature in the execution process of each sub-process are asynchronous, marking the current sub-process as an ambient temperature low-influence process;
Classifying types of all sub-processes of glass processing, uniformly marking the high-influence process of equipment temperature and the high-influence process of environmental temperature as high-influence processes, and uniformly marking the low-influence process of equipment temperature and the low-influence process of environmental temperature as low-influence processes; acquiring the ratio of the execution time length of the high-impact flow to the execution time length of the low-impact flow in the period when the processing temperature is not in the set temperature range in the glass processing process, acquiring the yield failure rate increment of the corresponding period in the glass processing process, judging that the current processing temperature is abnormal, generating a processing temperature influence abnormal signal and sending the processing temperature influence abnormal signal to a server, and controlling the temperature of the current glass processing after the server receives the processing temperature influence abnormal signal if the ratio of the execution time length of the high-impact flow to the execution time length of the low-impact flow in the period when the processing temperature is not in the set temperature range exceeds a time length ratio threshold and the yield failure rate increment of the corresponding period in the glass processing process exceeds a failure rate increment threshold;
If the ratio of the execution time length of the high-influence flow to the execution time length of the low-influence flow in the period when the processing temperature is not in the set temperature range in the glass processing process does not exceed the time length ratio threshold value, and the yield failure rate increment of the corresponding period in the glass processing process does not exceed the failure rate increment threshold value, judging that the current processing temperature influences normal, generating a processing temperature influence normal signal and sending the processing temperature influence normal signal to a historical processing analysis unit.
2. The intelligent temperature control system for glass processing based on data analysis according to claim 1, wherein the history processing analysis unit operates as follows:
the method comprises the steps of obtaining the frequency that the numerical value of the sub-process processing temperature in the same type of glass processing process floats to exceed a set temperature and the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the sub-process processing temperature in the same type of glass processing process floats to exceed the set temperature, and comparing the frequency that the numerical value of the sub-process processing temperature in the same type of glass processing process floats to exceed the set temperature and the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the sub-process processing temperature in the same type of glass processing process floats to respectively with a temperature floating frequency threshold and an increasing speed threshold:
If the frequency of the numerical value of the processing temperature of the sub-process exceeds the set temperature and exceeds the temperature floating frequency threshold in the glass processing process of the same type, or the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the processing temperature of the sub-process is floating exceeds the increasing speed threshold, marking the corresponding sub-process as a high risk process; if the frequency of the numerical value floating of the processing temperature of the sub-process in the glass processing process of the same type exceeds the set temperature and does not exceed the temperature floating frequency threshold, and the increasing speed of the semi-finished product rate of the processed glass product after the numerical value of the processing temperature of the sub-process is floating does not exceed the increasing speed threshold, marking the corresponding sub-process as a low risk process.
3. The intelligent temperature control system for glass processing based on data analysis according to claim 1, wherein the temperature supply analysis unit operates as follows:
The method comprises the steps of obtaining a numerical deviation between a set numerical value of a processing environment temperature and an actual environment temperature in a glass processing process and a reciprocating floating span value of a temperature value when the processing environment temperature is constant in the glass processing process, and comparing the numerical deviation between the set numerical value of the processing environment temperature and the actual environment temperature in the glass processing process and the reciprocating floating span value of the temperature value when the processing environment temperature is constant in the glass processing process with a temperature numerical deviation threshold value and a reciprocating floating span value threshold value respectively:
if the deviation of the set value of the processing environment temperature and the actual environment temperature exceeds a temperature value deviation threshold value in the glass processing process, or the reciprocating floating span value of the temperature value exceeds a reciprocating floating span value threshold value when the processing environment temperature is constant in the glass processing process, judging that the glass processing temperature supply analysis is abnormal, generating a temperature supply abnormal signal and sending the temperature supply abnormal signal to a server, and performing temperature supply control on the glass processing after the server receives the temperature supply abnormal signal;
If the deviation of the set value of the processing environment temperature and the actual environment temperature in the glass processing process does not exceed the temperature value deviation threshold value and the reciprocating floating span value of the temperature value does not exceed the reciprocating floating span value threshold value when the processing environment temperature is constant in the glass processing process, judging that the glass processing temperature supply analysis is normal, generating a temperature supply normal signal and sending the temperature supply normal signal to a server.
4. The intelligent temperature control system for glass processing based on data analysis according to claim 1, wherein the operation process of the satisfaction evaluation unit is as follows:
Acquiring a time length duty ratio of inconsistent actual temperature values and set temperature values of a high-impact process in the glass processing process, and a temperature control time length delay amount after temperature deviation of a high-risk process in the glass processing process; acquiring the flow quantity increasing speed of repeated temperature value deviation of the same low-risk flow in the glass processing process;
Obtaining a satisfaction evaluation coefficient of glass processing through analysis; comparing the satisfaction evaluation coefficient of the glass processing to a satisfaction evaluation coefficient threshold:
if the satisfaction evaluation coefficient of the glass processing exceeds the satisfaction evaluation coefficient threshold, generating a satisfaction abnormal signal and sending the satisfaction abnormal signal to a server, and after the server receives the satisfaction abnormal signal, performing temperature control on the glass processing flow and simultaneously performing temperature influence analysis on each sub-flow; and if the satisfaction evaluation coefficient of the glass processing does not exceed the satisfaction evaluation coefficient threshold, generating a satisfaction normal signal and sending the satisfaction normal signal to a server.
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