CN114034826B - Production environment monitoring system for freeze-drying cubilose process based on data analysis - Google Patents

Production environment monitoring system for freeze-drying cubilose process based on data analysis Download PDF

Info

Publication number
CN114034826B
CN114034826B CN202111308196.7A CN202111308196A CN114034826B CN 114034826 B CN114034826 B CN 114034826B CN 202111308196 A CN202111308196 A CN 202111308196A CN 114034826 B CN114034826 B CN 114034826B
Authority
CN
China
Prior art keywords
environment
product
analysis
humidity
marking
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.)
Active
Application number
CN202111308196.7A
Other languages
Chinese (zh)
Other versions
CN114034826A (en
Inventor
凌喜林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Shantu Industrial Co ltd
Original Assignee
Shenzhen Shantu Industrial Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenzhen Shantu Industrial Co ltd filed Critical Shenzhen Shantu Industrial Co ltd
Priority to CN202111308196.7A priority Critical patent/CN114034826B/en
Publication of CN114034826A publication Critical patent/CN114034826A/en
Application granted granted Critical
Publication of CN114034826B publication Critical patent/CN114034826B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/02Food
    • AHUMAN NECESSITIES
    • A23FOODS OR FOODSTUFFS; TREATMENT THEREOF, NOT COVERED BY OTHER CLASSES
    • A23LFOODS, FOODSTUFFS, OR NON-ALCOHOLIC BEVERAGES, NOT COVERED BY SUBCLASSES A21D OR A23B-A23J; THEIR PREPARATION OR TREATMENT, e.g. COOKING, MODIFICATION OF NUTRITIVE QUALITIES, PHYSICAL TREATMENT; PRESERVATION OF FOODS OR FOODSTUFFS, IN GENERAL
    • A23L33/00Modifying nutritive qualities of foods; Dietetic products; Preparation or treatment thereof
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00Thermometers specially adapted for specific purposes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Food Science & Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Medicinal Chemistry (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Mycology (AREA)
  • Nutrition Science (AREA)
  • Polymers & Plastics (AREA)
  • General Factory Administration (AREA)
  • Drying Of Solid Materials (AREA)

Abstract

The invention discloses a production environment monitoring system for a freeze-dried cubilose process based on data analysis, relates to the technical field of production environment monitoring, solves the technical problem that the accuracy of environment monitoring cannot be improved in the prior art, judges whether the freeze-dried cubilose process is qualified or not, and provides a monitoring standard for production environment monitoring so as to improve the accuracy efficiency of freeze-dried cubilose monitoring; the method has the advantages that the qualified parameter threshold range of the current environment is effectively acquired through the actual product, the accuracy of production environment monitoring is effectively improved, errors of environmental parameters are prevented, the production efficiency of the process is reduced, and the reject ratio of the product is increased; and analyzing the production environment of the monitored product so as to judge whether the regional environment is in the threshold range of the monitored product, accurately monitoring the production of the monitored product, and preventing the production abnormality of the monitored product caused by the abnormal environment from occurring, thereby reducing the qualification rate of the monitored product.

Description

Production environment monitoring system for freeze-drying cubilose process based on data analysis
Technical Field
The invention relates to the technical field of production environment monitoring, in particular to a production environment monitoring system for a freeze-drying cubilose process based on data analysis.
Background
The freeze-dried bird's nest is prepared by pre-freezing bird's nest which is stewed and contains a large amount of moisture substances by an XY freeze dryer in advance, cooling to 37 ℃ below zero, freezing to form solid, directly sublimating water vapor under the vacuum condition of a drying bin of the XY freeze dryer, and immediately drying under the freezing condition, so that only about 1% of moisture is left after the bird's nest is dried, the volume is unchanged, and the nutritional value is still maintained; therefore, environmental monitoring is particularly important in the production process of freeze-dried bird's nest.
In the prior art, environmental monitoring standards cannot be obtained in real time in a freeze-drying cubilose process, so that the accuracy and efficiency of environmental monitoring are reduced; the real-time environment cannot be compared with the corresponding parameter threshold range, so that an error exists in the environment parameters, and the production efficiency of the process is reduced; in addition, the influence parameter analysis can not be carried out through unqualified products, so that the production of the products can not prevent faults in advance, and unnecessary cost waste is caused.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problem, and provides a production environment monitoring system for a freeze-dried bird's nest process based on data analysis, which is used for judging whether the freeze-dried bird's nest process is qualified or not and providing a monitoring standard for production environment monitoring so as to improve the accuracy and efficiency of freeze-dried bird's nest monitoring; the method has the advantages that the qualified parameter threshold range of the current environment is effectively acquired through the actual product, the accuracy of production environment monitoring is effectively improved, errors of environmental parameters are prevented, the production efficiency of the process is reduced, and the reject ratio of the product is increased; analyzing the production environment of the monitored product so as to judge whether the regional environment is in the threshold range of the monitored product, accurately monitoring the production of the monitored product, and preventing the production abnormality of the monitored product caused by the occurrence of the environment abnormality, thereby reducing the qualification rate of the monitored product, reducing the efficiency of the corresponding process of the monitored product and indirectly influencing the production of the product; and analyzing the unqualified products, and analyzing parameters affecting the products through the unqualified products, so that the production of the products is prevented, and the qualification rate of the products is improved.
The aim of the invention can be achieved by the following technical scheme:
a production environment monitoring system for a freeze-dried cubilose process based on data analysis comprises a product inspection unit, a threshold value acquisition unit, an influence analysis unit, a regional environment monitoring unit, a rectifying unit and a database;
detecting the freeze-dried bird's nest through a product detection unit, dividing the freeze-dried bird's nest which is produced into unqualified products through division, and analyzing the preparation efficiency of a freeze-dried bird's nest process; sending the qualified products to a threshold value acquisition unit, and sending the unqualified products to an influence analysis unit; analyzing the qualified products through a threshold value acquisition unit, and acquiring a temperature threshold value range and a humidity threshold value range of the qualified products; the temperature threshold range and the humidity threshold range are sent to the regional environment monitoring unit, and the regional environment monitoring unit analyzes the production environment of the monitored product so as to judge whether the regional environment is in the threshold range of the monitored product; analyzing the unqualified products through an influence analysis unit; the production of monitoring product is put in full through the unit of putting in full.
As a preferred embodiment of the present invention, the product inspection process of the product inspection unit is as follows:
marking the freeze-dried bird's nest after production as a monitoring product, setting a label i, wherein i is a natural number greater than 1, collecting the frequency of production of the monitoring product, and marking the frequency of production of the monitoring product as PLi; collecting the real-time sales volume and the number of times of good comments corresponding to the sales volume of the monitored product, and marking the real-time sales volume and the number of times of good comments corresponding to the sales volume of the monitored product as XLI and CSI respectively; obtaining an analysis test coefficient Xi of the monitored product through analysis; comparing the analytical test coefficient of the monitored product to an analytical test coefficient threshold value:
if the analysis and inspection coefficient of the monitored product is more than or equal to the analysis and inspection coefficient threshold value, judging that the analysis and inspection of the corresponding monitored product is qualified, generating a product qualified signal, marking the corresponding monitored product as a qualified product, and sending the product qualified signal and the qualified product to a threshold value acquisition unit together; if the analysis and inspection coefficient of the monitored product is smaller than the analysis and inspection coefficient threshold value, judging that the analysis and inspection of the corresponding monitored product is unqualified, generating a product unqualified signal, marking the corresponding monitored product as an unqualified product, and sending the product unqualified signal and the unqualified product to an influence analysis unit.
As a preferred embodiment of the present invention, the threshold value acquisition process of the threshold value acquisition unit is as follows:
collecting qualified products, counting production environment parameters of the qualified products, wherein the production environment parameters comprise an environment temperature value and an environment humidity value, collecting the environment temperature value and the environment humidity value during the production of the qualified products, constructing an environment temperature value set and an environment humidity value set, marking the temperature value corresponding to the largest subset of the numerical values in the environment temperature value set as a preset temperature upper limit value, and marking the temperature value corresponding to the smallest subset of the numerical values in the environment temperature value set as a preset temperature lower limit value; marking a humidity value corresponding to the maximum subset of the values in the environment humidity set as a preset humidity upper limit value; marking humidity values corresponding to the minimum subset of the numerical values in the environment humidity set as a preset humidity lower limit value; acquiring a temperature threshold range through a preset temperature upper limit value and a preset temperature lower limit value, and acquiring a humidity threshold range through a preset humidity upper limit value and a preset humidity lower limit value;
and transmits the temperature threshold range and the humidity threshold range to the area environment monitoring unit.
As a preferred embodiment of the present invention, the monitoring process of the regional environment monitoring unit is as follows:
setting environment analysis time, dividing the environment analysis time into o sub-time periods, collecting an environment temperature value and an environment humidity value in each sub-time period, comparing the environment temperature value and the environment humidity value in each sub-time period with a temperature threshold range and a humidity threshold range respectively, and marking the corresponding sub-time period as a temperature abnormal time period if the environment temperature value is not in the temperature threshold range and the environment humidity value is in the humidity threshold range; if the environmental temperature value is in the temperature threshold range and the environmental humidity value is not in the humidity threshold range, marking the corresponding sub-time period as a humidity abnormal time period; if the environmental temperature value is not in the temperature threshold range and the environmental humidity value is not in the humidity threshold range, marking the corresponding sub-time period as an even abnormal time period; if the environmental temperature value is in the temperature threshold range and the environmental humidity value is in the humidity threshold range, marking the corresponding sub-time period as a normal time period;
analyzing each sub-time period, collecting the ratio of the number of the uniform normal time periods to the number of the uniform abnormal time periods, and marking the corresponding ratio as a positive-negative end ratio; marking the humidity abnormal time period and the temperature abnormal time period as semi-abnormal time periods; acquiring the ratio of the number of the semi-abnormal time periods adjacent to the normal time periods to the number of the semi-abnormal time periods adjacent to the normal time periods, and marking the ratio of the corresponding number as an adjacent quantization ratio;
if the positive-negative electrode ratio is smaller than the positive-negative electrode ratio threshold or the adjacent quantification ratio is smaller than the adjacent quantification threshold, judging that the environment analysis of the corresponding area is abnormal in the environment analysis time, generating an environment disqualification signal, and sending the environment disqualification signal and a semi-abnormal time period and an even abnormal time period of the corresponding area to a rectifying unit together; if the positive-negative electrode ratio is larger than the positive-negative electrode ratio threshold and the adjacent quantification ratio is larger than the adjacent quantification threshold, judging that the environment analysis of the corresponding area is normal within the environment analysis time, generating an environment qualified signal and sending the environment qualified signal to the rectifying unit.
As a preferred embodiment of the present invention, the analysis process of the influence analysis unit is as follows:
collecting analysis parameters of the monitored products, analyzing the analysis parameters of the qualified products, and marking the corresponding analysis parameters as predicted influence parameters if the analysis parameters of the same qualified products are the same; if the analysis parameters of the same qualified products are different, marking the corresponding analysis parameters as influence-free parameters; analyzing the analysis parameters of the unqualified products and the analysis parameters of the qualified products; if the analysis parameters of the unqualified products and the qualified products in the same category are the same, marking the corresponding analysis parameters as influence-free parameters; if the analysis parameters of the unqualified products and the qualified products in the same category are different, marking the corresponding analysis parameters as determined influence parameters;
if the predicted influence parameter is consistent with the determined influence parameter, marking the predicted influence parameter as the determined influence parameter, and sending the determined influence parameter and the corresponding product category to the rectifying unit; if the predicted influence parameter is inconsistent with the determined influence parameter, the predicted influence parameter, the determined influence parameter and the corresponding product category are sent to the rectifying unit together.
As a preferred embodiment of the present invention, after receiving the predicted influence parameter, determining the influence parameter and the corresponding product category, the rectifying unit regulates and controls the determined influence parameter of the corresponding product category in the production process of the corresponding product category, monitors the predicted influence parameter of the corresponding product category, and marks the corresponding predicted influence parameter as the determined influence parameter and regulates and controls if the predicted influence parameter has influence; transmitting the regulated and controlled definite sound parameters and the monitored predicted influence parameters to a database for storage;
after receiving the environment disqualification signal, the semi-abnormal time period and the uniform abnormal time period of the corresponding area, the rectifying unit regulates and controls the semi-abnormal time period and the uniform abnormal time period of the corresponding area, and monitors the uniform normal time period; and sending the regulation and control amounts of the semi-abnormal time period and the uniform abnormal time period of the corresponding region to a database for storage.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the preparation efficiency of the freeze-dried bird's nest process is analyzed, so that whether the freeze-dried bird's nest process is qualified or not is judged, and meanwhile, a monitoring standard is provided for monitoring the production environment, so that the accurate efficiency of freeze-dried bird's nest monitoring is improved; the method has the advantages that the qualified parameter threshold range of the current environment is effectively acquired through the actual product, the accuracy of production environment monitoring is effectively improved, errors of environmental parameters are prevented, the production efficiency of the process is reduced, and the reject ratio of the product is increased; analyzing the production environment of the monitored product so as to judge whether the regional environment is in the threshold range of the monitored product, accurately monitoring the production of the monitored product, and preventing the production abnormality of the monitored product caused by the occurrence of the environment abnormality, thereby reducing the qualification rate of the monitored product, reducing the efficiency of the corresponding process of the monitored product and indirectly influencing the production of the product; and analyzing the unqualified products, and analyzing parameters affecting the products through the unqualified products, so that the production of the products is prevented, and the qualification rate of the products is improved.
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
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious 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.
Referring to fig. 1, a production environment monitoring system for a freeze-drying cubilose process based on data analysis comprises a product inspection unit, a threshold value acquisition unit, an influence analysis unit, a regional environment monitoring unit, a rectifying unit and a database;
the product detection unit is used for detecting freeze-dried bird's nest, divides the freeze-dried bird's nest that will accomplish the production to divide the freeze-dried bird's nest that will accomplish the production into qualified product disqualification product through dividing, analyzes the preparation efficiency of freeze-dried bird's nest technology, thereby judges whether freeze-dried bird's nest technology is qualified, provides the monitoring standard for production environment monitoring simultaneously, thereby improved the accurate efficiency of freeze-dried bird's nest monitoring, specific product inspection process is as follows:
marking the freeze-dried bird's nest after production as a monitoring product, setting a label i, wherein i is a natural number greater than 1, collecting the frequency of production of the monitoring product, and marking the frequency of production of the monitoring product as PLi; collecting real-time sales of the monitored productThe number of times of good comments corresponding to the sales volume, and the real-time sales volume and the number of times of good comments corresponding to the sales volume of the monitored product are respectively marked as XLI and CSI; by the formulaObtaining analysis and inspection coefficients Xi of the monitoring product, wherein s1, s2 and s3 are preset proportionality coefficients, s1 is more than s2 is more than s3 is more than 0, and e is a natural constant; the analysis and inspection coefficient of the monitored product is a numerical value for judging the qualification probability of the monitored product by carrying out normalization processing on the parameters of the monitored product; the higher the frequency of full production, the higher the number of good scores corresponding to the real-time sales and sales, the larger the analysis and inspection coefficient of the monitored product, and the higher the qualification probability of the monitored product;
comparing the analytical test coefficient of the monitored product to an analytical test coefficient threshold value:
if the analysis and inspection coefficient of the monitored product is more than or equal to the analysis and inspection coefficient threshold value, judging that the analysis and inspection of the corresponding monitored product is qualified, generating a product qualified signal, marking the corresponding monitored product as a qualified product, and sending the product qualified signal and the qualified product to a threshold value acquisition unit together;
if the analysis and inspection coefficient of the monitored product is smaller than the analysis and inspection coefficient threshold value, judging that the analysis and inspection of the corresponding monitored product is unqualified, generating a product unqualified signal, marking the corresponding monitored product as an unqualified product, and transmitting the product unqualified signal and the unqualified product to an influence analysis unit;
after receiving the qualified signals and the qualified products, the threshold value acquisition unit analyzes the qualified products, so that an environment parameter threshold value range of the qualified products is acquired, the environment parameter threshold value comprises an environment temperature threshold value range and an environment humidity threshold value range, the qualified parameter threshold value range of the current environment is effectively acquired through the actual products, the accuracy of production environment monitoring is effectively improved, the environment parameters are prevented from being in error, the production efficiency of the process is reduced, the reject ratio of the products is increased, and the specific threshold value acquisition process is as follows:
collecting qualified products, counting production environment parameters of the qualified products, wherein the production environment parameters comprise an environment temperature value and an environment humidity value, collecting the environment temperature value and the environment humidity value during the production of the qualified products, constructing an environment temperature value set and an environment humidity value set, marking the temperature value corresponding to the largest subset of the numerical values in the environment temperature value set as a preset temperature upper limit value, and marking the temperature value corresponding to the smallest subset of the numerical values in the environment temperature value set as a preset temperature lower limit value; marking a humidity value corresponding to the maximum subset of the values in the environment humidity set as a preset humidity upper limit value; marking humidity values corresponding to the minimum subset of the numerical values in the environment humidity set as a preset humidity lower limit value; acquiring a temperature threshold range through a preset temperature upper limit value and a preset temperature lower limit value, and acquiring a humidity threshold range through a preset humidity upper limit value and a preset humidity lower limit value;
the temperature threshold range and the humidity threshold range are sent to the regional environment monitoring unit;
the regional environment monitoring unit is used for analyzing the production environment of the monitored product so as to judge whether the regional environment is in the threshold range of the monitored product, accurately monitor the production of the monitored product, prevent the abnormal production of the monitored product caused by abnormal environment, reduce the qualification rate of the monitored product, reduce the efficiency of the corresponding process of the monitored product, indirectly influence the production of the product, and specifically monitor the process as follows:
setting environment analysis time, dividing the environment analysis time into o sub-time periods, collecting an environment temperature value and an environment humidity value in each sub-time period, comparing the environment temperature value and the environment humidity value in each sub-time period with a temperature threshold range and a humidity threshold range respectively, and marking the corresponding sub-time period as a temperature abnormal time period if the environment temperature value is not in the temperature threshold range and the environment humidity value is in the humidity threshold range; if the environmental temperature value is in the temperature threshold range and the environmental humidity value is not in the humidity threshold range, marking the corresponding sub-time period as a humidity abnormal time period; if the environmental temperature value is not in the temperature threshold range and the environmental humidity value is not in the humidity threshold range, marking the corresponding sub-time period as an even abnormal time period; if the environmental temperature value is in the temperature threshold range and the environmental humidity value is in the humidity threshold range, marking the corresponding sub-time period as a normal time period;
analyzing each sub-time period, collecting the ratio of the number of the uniform normal time periods to the number of the uniform abnormal time periods, and marking the corresponding ratio as a positive-negative end ratio; marking the humidity abnormal time period and the temperature abnormal time period as semi-abnormal time periods; acquiring the ratio of the number of the semi-abnormal time periods adjacent to the normal time periods to the number of the semi-abnormal time periods adjacent to the normal time periods, and marking the ratio of the corresponding number as an adjacent quantization ratio;
if the positive-negative electrode ratio is smaller than the positive-negative electrode ratio threshold or the adjacent quantification ratio is smaller than the adjacent quantification threshold, judging that the environment analysis of the corresponding area is abnormal in the environment analysis time, generating an environment disqualification signal, and sending the environment disqualification signal and a semi-abnormal time period and an even abnormal time period of the corresponding area to a rectifying unit together; if the positive-negative electrode ratio is larger than the positive-negative electrode ratio threshold and the adjacent quantification ratio is larger than the adjacent quantification threshold, judging that the environment analysis of the corresponding area is normal within the environment analysis time, generating an environment qualified signal and sending the environment qualified signal to the rectifying unit;
after receiving the product disqualification signal and the disqualification product, the influence analysis unit analyzes the disqualification product, analyzes parameters influencing the product through the disqualification product, thereby preventing the production of the product, improving the qualification rate of the product, and specifically analyzing the product with the following steps:
collecting analysis parameters of the monitored product, wherein the analysis parameters represent parameters which affect the quality of the monitored product, such as the operation time length, the fault frequency and the like of a device corresponding to the monitored product; analyzing the analysis parameters of the qualified products, and if the analysis parameters of the same qualified products are the same, marking the corresponding analysis parameters as predicted influence parameters; if the analysis parameters of the same qualified products are different, marking the corresponding analysis parameters as influence-free parameters; analyzing the analysis parameters of the unqualified products and the analysis parameters of the qualified products; if the analysis parameters of the unqualified products and the qualified products in the same category are the same, marking the corresponding analysis parameters as influence-free parameters; if the analysis parameters of the unqualified products and the qualified products in the same category are different, marking the corresponding analysis parameters as determined influence parameters;
if the predicted influence parameter is consistent with the determined influence parameter, marking the predicted influence parameter as the determined influence parameter, and sending the determined influence parameter and the corresponding product category to the rectifying unit; if the predicted influence parameter is inconsistent with the determined influence parameter, the predicted influence parameter, the determined influence parameter and the corresponding product category are sent to the rectifying unit together;
after receiving the predicted influence parameters, determining the influence parameters and the corresponding product types, the rectifying unit regulates and controls the determined influence parameters of the corresponding product types in the production process of the corresponding product types, monitors the predicted influence parameters of the corresponding product types, and marks the corresponding predicted influence parameters as the determined influence parameters and regulates and controls if the predicted influence parameters have influence; transmitting the regulated and controlled definite sound parameters and the monitored predicted influence parameters to a database for storage;
after receiving the environment disqualification signal, the semi-abnormal time period and the uniform abnormal time period of the corresponding area, the rectifying unit regulates and controls the semi-abnormal time period and the uniform abnormal time period of the corresponding area, and monitors the uniform normal time period; and sending the regulation and control amounts of the semi-abnormal time period and the uniform abnormal time period of the corresponding region to a database for storage.
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 freeze-dried bird's nest processing production environment monitoring system based on data analysis is used, freeze-dried bird's nest is detected through the product detection unit, the freeze-dried bird's nest which is produced is divided into unqualified products through division, and the preparation efficiency of the freeze-dried bird's nest processing is analyzed; sending the qualified products to a threshold value acquisition unit, and sending the unqualified products to an influence analysis unit; analyzing the qualified products through a threshold value acquisition unit, and acquiring a temperature threshold value range and a humidity threshold value range of the qualified products; the temperature threshold range and the humidity threshold range are sent to the regional environment monitoring unit, and the regional environment monitoring unit analyzes the production environment of the monitored product so as to judge whether the regional environment is in the threshold range of the monitored product; analyzing the unqualified products through an influence analysis unit; the production of monitoring product is put in full through the unit of putting in full.
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 (2)

1. The production environment monitoring system for the freeze-dried cubilose process based on data analysis is characterized by comprising a product inspection unit, a threshold value acquisition unit, an influence analysis unit, a regional environment monitoring unit, a rectifying unit and a database;
detecting the freeze-dried bird's nest through a product detection unit, dividing the freeze-dried bird's nest which is produced into unqualified products through division, and analyzing the preparation efficiency of a freeze-dried bird's nest process; sending the qualified products to a threshold value acquisition unit, and sending the unqualified products to an influence analysis unit; analyzing the qualified products through a threshold value acquisition unit, and acquiring a temperature threshold value range and a humidity threshold value range of the qualified products; the temperature threshold range and the humidity threshold range are sent to the regional environment monitoring unit, and the regional environment monitoring unit analyzes the production environment of the monitored product so as to judge whether the regional environment is in the threshold range of the monitored product; analyzing the unqualified products through an influence analysis unit; the production of the monitoring product is regulated by a regulating unit;
the product inspection process of the product inspection unit is as follows:
marking the freeze-dried bird's nest after production as a monitoring product, setting a label i, wherein i is a natural number greater than 1, collecting the frequency of production of the monitoring product, and marking the frequency of production of the monitoring product as PLi; collecting the real-time sales volume and the number of times of good comments corresponding to the sales volume of the monitored product, and marking the real-time sales volume and the number of times of good comments corresponding to the sales volume of the monitored product as XLI and CSI respectively; by the formulaObtaining analysis and inspection coefficients Xi of the monitoring product, wherein s1, s2 and s3 are preset proportionality coefficients, s1 is more than s2 is more than s3 is more than 0, and e is a natural constant; comparing the analytical test coefficient of the monitored product to an analytical test coefficient threshold value:
if the analysis and inspection coefficient of the monitored product is more than or equal to the analysis and inspection coefficient threshold value, judging that the analysis and inspection of the corresponding monitored product is qualified, generating a product qualified signal, marking the corresponding monitored product as a qualified product, and sending the product qualified signal and the qualified product to a threshold value acquisition unit together; if the analysis and inspection coefficient of the monitored product is smaller than the analysis and inspection coefficient threshold value, judging that the analysis and inspection of the corresponding monitored product is unqualified, generating a product unqualified signal, marking the corresponding monitored product as an unqualified product, and transmitting the product unqualified signal and the unqualified product to an influence analysis unit;
the threshold value acquisition process of the threshold value acquisition unit is as follows:
collecting qualified products, counting production environment parameters of the qualified products, wherein the production environment parameters comprise an environment temperature value and an environment humidity value, collecting the environment temperature value and the environment humidity value during the production of the qualified products, constructing an environment temperature value set and an environment humidity value set, marking the temperature value corresponding to the largest subset of the numerical values in the environment temperature value set as a preset temperature upper limit value, and marking the temperature value corresponding to the smallest subset of the numerical values in the environment temperature value set as a preset temperature lower limit value; marking a humidity value corresponding to the maximum subset of the values in the environment humidity set as a preset humidity upper limit value; marking humidity values corresponding to the minimum subset of the numerical values in the environment humidity set as a preset humidity lower limit value; acquiring a temperature threshold range through a preset temperature upper limit value and a preset temperature lower limit value, and acquiring a humidity threshold range through a preset humidity upper limit value and a preset humidity lower limit value;
the temperature threshold range and the humidity threshold range are sent to the regional environment monitoring unit;
the monitoring process of the regional environment monitoring unit is as follows:
setting environment analysis time, dividing the environment analysis time into o sub-time periods, collecting an environment temperature value and an environment humidity value in each sub-time period, comparing the environment temperature value and the environment humidity value in each sub-time period with a temperature threshold range and a humidity threshold range respectively, and marking the corresponding sub-time period as a temperature abnormal time period if the environment temperature value is not in the temperature threshold range and the environment humidity value is in the humidity threshold range; if the environmental temperature value is in the temperature threshold range and the environmental humidity value is not in the humidity threshold range, marking the corresponding sub-time period as a humidity abnormal time period; if the environmental temperature value is not in the temperature threshold range and the environmental humidity value is not in the humidity threshold range, marking the corresponding sub-time period as an even abnormal time period; if the environmental temperature value is in the temperature threshold range and the environmental humidity value is in the humidity threshold range, marking the corresponding sub-time period as a normal time period;
analyzing each sub-time period, collecting the ratio of the number of the uniform normal time periods to the number of the uniform abnormal time periods, and marking the corresponding ratio as a positive-negative end ratio; marking the humidity abnormal time period and the temperature abnormal time period as semi-abnormal time periods; acquiring the ratio of the number of the semi-abnormal time periods adjacent to the normal time periods to the number of the semi-abnormal time periods adjacent to the normal time periods, and marking the ratio of the corresponding number as an adjacent quantization ratio;
if the positive-negative electrode ratio is smaller than the positive-negative electrode ratio threshold or the adjacent quantification ratio is smaller than the adjacent quantification threshold, judging that the environment analysis of the corresponding area is abnormal in the environment analysis time, generating an environment disqualification signal, and sending the environment disqualification signal and a semi-abnormal time period and an even abnormal time period of the corresponding area to a rectifying unit together; if the positive-negative electrode ratio is larger than the positive-negative electrode ratio threshold and the adjacent quantification ratio is larger than the adjacent quantification threshold, judging that the environment analysis of the corresponding area is normal within the environment analysis time, generating an environment qualified signal and sending the environment qualified signal to the rectifying unit;
the analysis process of the influence analysis unit is as follows:
collecting analysis parameters of the monitored products, analyzing the analysis parameters of the qualified products, and marking the corresponding analysis parameters as predicted influence parameters if the analysis parameters of the same qualified products are the same; if the analysis parameters of the same qualified products are different, marking the corresponding analysis parameters as influence-free parameters; analyzing the analysis parameters of the unqualified products and the analysis parameters of the qualified products; if the analysis parameters of the unqualified products and the qualified products in the same category are the same, marking the corresponding analysis parameters as influence-free parameters; if the analysis parameters of the unqualified products and the qualified products in the same category are different, marking the corresponding analysis parameters as determined influence parameters;
if the predicted influence parameter is consistent with the determined influence parameter, marking the predicted influence parameter as the determined influence parameter, and sending the determined influence parameter and the corresponding product category to the rectifying unit; if the predicted influence parameter is inconsistent with the determined influence parameter, the predicted influence parameter, the determined influence parameter and the corresponding product category are sent to the rectifying unit together.
2. The production environment monitoring system for the freeze-dried bird's nest process based on data analysis according to claim 1, wherein after receiving the predicted influence parameter, determining the influence parameter and the corresponding product category, the rectifying unit regulates and controls the determined influence parameter of the corresponding product category in the production process of the corresponding product category, monitors the predicted influence parameter of the corresponding product category, and marks the corresponding predicted influence parameter as the determined influence parameter and regulates and controls if the predicted influence parameter has influence; transmitting the regulated and controlled definite sound parameters and the monitored predicted influence parameters to a database for storage;
after receiving the environment disqualification signal, the semi-abnormal time period and the uniform abnormal time period of the corresponding area, the rectifying unit regulates and controls the semi-abnormal time period and the uniform abnormal time period of the corresponding area, and monitors the uniform normal time period; and sending the regulation and control amounts of the semi-abnormal time period and the uniform abnormal time period of the corresponding region to a database for storage.
CN202111308196.7A 2021-11-05 2021-11-05 Production environment monitoring system for freeze-drying cubilose process based on data analysis Active CN114034826B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111308196.7A CN114034826B (en) 2021-11-05 2021-11-05 Production environment monitoring system for freeze-drying cubilose process based on data analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111308196.7A CN114034826B (en) 2021-11-05 2021-11-05 Production environment monitoring system for freeze-drying cubilose process based on data analysis

Publications (2)

Publication Number Publication Date
CN114034826A CN114034826A (en) 2022-02-11
CN114034826B true CN114034826B (en) 2024-01-23

Family

ID=80136463

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111308196.7A Active CN114034826B (en) 2021-11-05 2021-11-05 Production environment monitoring system for freeze-drying cubilose process based on data analysis

Country Status (1)

Country Link
CN (1) CN114034826B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114838767B (en) * 2022-05-06 2022-12-20 徐州工程学院 Temperature and humidity intelligent monitoring system and method for cold-chain logistics
CN115049280B (en) * 2022-06-22 2023-05-23 安徽金源药业有限公司 Health food processing operation supervision system based on 5G network
CN115826538B (en) * 2023-02-13 2023-06-27 深圳市博硕科技股份有限公司 Intelligent production system for electronic components and control method thereof
CN117078113B (en) * 2023-10-16 2024-04-02 超耐斯(深圳)新能源集团有限公司 Outdoor battery production quality management system based on data analysis

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201387412Y (en) * 2009-03-24 2010-01-20 山西农业大学 Water content online monitoring device during freeze drying process of fresh products
CN103963256A (en) * 2014-05-14 2014-08-06 格力电器(武汉)有限公司 Intelligent water temperature monitoring method, device and equipment
EP3250868A1 (en) * 2015-01-28 2017-12-06 IMA Life North America Inc. Process monitoring and control using battery-free multipoint wireless product condition sensing
CN107809632A (en) * 2017-11-01 2018-03-16 深圳创维数字技术有限公司 Audio frequency and video method of testing, device, test system and readable storage medium storing program for executing
CN110500371A (en) * 2019-08-27 2019-11-26 戴腾清 A kind of stamping line equipment working state detection method
WO2020002605A1 (en) * 2018-06-29 2020-01-02 Universiteit Gent Freezing, drying and/or freeze-drying of product dose units
CN111861350A (en) * 2020-08-04 2020-10-30 祝振英 Give birth to bright cold chain transportation commodity quality monitoring early warning management system based on big data
CN112232685A (en) * 2020-10-20 2021-01-15 汤涛 Engineering quality supervision acceptance real-time detection analysis management system based on big data
CN212519054U (en) * 2020-06-19 2021-02-09 武汉市仟吉食品有限公司 Freezer temperature identification system is used in fermented bread production
CN112383630A (en) * 2020-11-17 2021-02-19 安徽三达信息科技有限公司 Distributed pluggable process data reporting system based on production line tangent plane
CN112865021A (en) * 2020-12-31 2021-05-28 深圳市知视智能技术有限公司 Motor protection method, device, equipment and storage medium
CN213881731U (en) * 2020-09-08 2021-08-06 深圳市善土实业有限公司 Freeze-dried cubilose forming device capable of ensuring uniform forming
CN113298450A (en) * 2021-07-27 2021-08-24 深圳润符新材料科技有限公司 Coating processing production line supervision feedback system based on internet
CN113313453A (en) * 2021-07-29 2021-08-27 深圳贝标新材料科技有限公司 Waterproof coating freight transportation management system based on internet

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201387412Y (en) * 2009-03-24 2010-01-20 山西农业大学 Water content online monitoring device during freeze drying process of fresh products
CN103963256A (en) * 2014-05-14 2014-08-06 格力电器(武汉)有限公司 Intelligent water temperature monitoring method, device and equipment
EP3250868A1 (en) * 2015-01-28 2017-12-06 IMA Life North America Inc. Process monitoring and control using battery-free multipoint wireless product condition sensing
CN107809632A (en) * 2017-11-01 2018-03-16 深圳创维数字技术有限公司 Audio frequency and video method of testing, device, test system and readable storage medium storing program for executing
WO2020002605A1 (en) * 2018-06-29 2020-01-02 Universiteit Gent Freezing, drying and/or freeze-drying of product dose units
CN110500371A (en) * 2019-08-27 2019-11-26 戴腾清 A kind of stamping line equipment working state detection method
CN212519054U (en) * 2020-06-19 2021-02-09 武汉市仟吉食品有限公司 Freezer temperature identification system is used in fermented bread production
CN111861350A (en) * 2020-08-04 2020-10-30 祝振英 Give birth to bright cold chain transportation commodity quality monitoring early warning management system based on big data
CN213881731U (en) * 2020-09-08 2021-08-06 深圳市善土实业有限公司 Freeze-dried cubilose forming device capable of ensuring uniform forming
CN112232685A (en) * 2020-10-20 2021-01-15 汤涛 Engineering quality supervision acceptance real-time detection analysis management system based on big data
CN112383630A (en) * 2020-11-17 2021-02-19 安徽三达信息科技有限公司 Distributed pluggable process data reporting system based on production line tangent plane
CN112865021A (en) * 2020-12-31 2021-05-28 深圳市知视智能技术有限公司 Motor protection method, device, equipment and storage medium
CN113298450A (en) * 2021-07-27 2021-08-24 深圳润符新材料科技有限公司 Coating processing production line supervision feedback system based on internet
CN113313453A (en) * 2021-07-29 2021-08-27 深圳贝标新材料科技有限公司 Waterproof coating freight transportation management system based on internet

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Developing an UPLC-MS/MS method to quantify maoecrystal A in rat plasma: Application to a pharmacokinetic study;Zhang, CN;《JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES》;第1086卷;105-109 *
HACCP在燕窝加工过程中的应用;陈长兴;《食品安全质量检测学报》;第9卷(第14期);3846-3853 *
基于BREEAM Communities标准的小城镇规划策略与评价研究;李颖慧;《持续发展 理性规划——2017中国城市规划年会论文集(19小城镇规划)》;743-754 *

Also Published As

Publication number Publication date
CN114034826A (en) 2022-02-11

Similar Documents

Publication Publication Date Title
CN114034826B (en) Production environment monitoring system for freeze-drying cubilose process based on data analysis
CN112034095B (en) System and method for analyzing structure of cut tobacco after online drying
CN115409131B (en) Production line abnormity detection method based on SPC process control system
CN111368428B (en) Sensor precision degradation fault detection method based on monitoring second-order statistics
CN110378618A (en) Quality evaluating method and system based on online pipe tobacco surface defects detection
CN116843236A (en) Food storage supervision system based on artificial intelligence
CN1161091A (en) Process for analysing a measurement and measurement analyser for implementing it
CN110245460A (en) A kind of batch process fault monitoring method based on multistage OICA
CN116028887A (en) Analysis method of continuous industrial production data
CN117592656A (en) Carbon footprint monitoring method and system based on carbon data accounting
CN116366756A (en) Intelligent test operation monitoring system for mobile phone
CN111599033A (en) Processing method for diagnosing cigarette machine fault
CN111507374A (en) Power grid mass data anomaly detection method based on random matrix theory
CN108562622A (en) A kind of fresh sheep breast fast detecting method for total number of bacterial colony based on dielectric property technology
CN115015483A (en) Feeding supply analysis processing system based on meat pigeon growth data
CN107817784A (en) A kind of procedure failure testing method based on concurrent offset minimum binary
CN113333304A (en) Environment-friendly coiled material detection, evaluation and sorting system based on Internet
CN113984708A (en) Maintenance method and device of chemical index detection model
CN114969140B (en) Method for detecting and analyzing performance data of fluent strip products
Zhang et al. Research on dairy products detection based on machine learning algorithm
CN117826693B (en) Intelligent oil depot monitoring and early warning system and method
CN116757535B (en) Intelligent management method and system for industrial application platform
CN118034417A (en) Plant introduction and conservation environment monitoring management system
CN116976754B (en) High-precision capacitance measurement method
CN117786445B (en) Intelligent processing method for operation data of automatic yarn reeling machine

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