CN115049280A - Health food processing operation supervisory systems based on 5G network - Google Patents
Health food processing operation supervisory systems based on 5G network Download PDFInfo
- Publication number
- CN115049280A CN115049280A CN202210710935.3A CN202210710935A CN115049280A CN 115049280 A CN115049280 A CN 115049280A CN 202210710935 A CN202210710935 A CN 202210710935A CN 115049280 A CN115049280 A CN 115049280A
- Authority
- CN
- China
- Prior art keywords
- analysis
- processing
- analysis object
- signal
- processing environment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012545 processing Methods 0.000 title claims abstract description 251
- 235000013402 health food Nutrition 0.000 title claims abstract description 55
- 238000004140 cleaning Methods 0.000 claims abstract description 94
- 238000004519 manufacturing process Methods 0.000 claims abstract description 39
- 235000013305 food Nutrition 0.000 claims abstract description 16
- 230000002159 abnormal effect Effects 0.000 claims description 18
- 239000000428 dust Substances 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 5
- 230000006854 communication Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 claims description 3
- 235000013361 beverage Nutrition 0.000 abstract description 4
- 239000007787 solid Substances 0.000 abstract description 4
- 230000008901 benefit Effects 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000012797 qualification Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 235000019789 appetite Nutrition 0.000 description 1
- 230000036528 appetite Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007175 bidirectional communication Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 239000003205 fragrance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
- 230000035764 nutrition Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a health food processing operation supervision system based on a 5G network, which relates to the technical field of processing operation supervision and solves the technical problem that the environment and sanitary cleaning of health food cannot be analyzed in the prior art, the processing environment of the health food is analyzed, and whether the processing environment of the health food is qualified or not is judged, so that the influence of the processing environment on the production of the health food is analyzed in real time, the processing qualified efficiency of the health food is ensured, and the health food is prevented from being low in qualified rate and failing to meet the market demand; the health food in this application is a solid beverage type health food; the processing area of the analysis object is subjected to sanitary cleaning analysis, whether the sanitary cleaning of the processing area of the analysis object is qualified or not is judged, the processing quality of the analysis object is prevented from being influenced by the unqualified sanitation of the processing area of the analysis object, the safety performance of health-care food is reduced, and the working efficiency of health-care food processing is reduced.
Description
Technical Field
The invention relates to the technical field of processing operation supervision, in particular to a health-care food processing operation supervision system based on a 5G network.
Background
The health food is a kind of food, has the common characteristics of common food, can regulate the functions of human bodies, is suitable for specific people to eat, but cannot treat diseases. A health food, providing nutrition; secondly, the color, the fragrance, the taste and the shape which can increase the appetite of the human body are provided; and regulating human body function.
However, in the prior art, the environment and sanitation of the health food cannot be analyzed in the production process of the health food, so that the health food has low qualification rate and cannot meet the market demand;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a health food processing operation supervision system based on a 5G network, which analyzes the processing environment of health food and judges whether the processing environment of the health food is qualified, so that the influence of the processing environment on the production of the health food is analyzed in real time, the processing qualified efficiency of the health food is ensured, and the health food is prevented from having low qualification rate and being incapable of meeting the market requirements; the health food in this application is a solid beverage type health food; the processing area of the analysis object is subjected to sanitary cleaning analysis, whether the sanitary cleaning of the processing area of the analysis object is qualified or not is judged, the processing quality of the analysis object is prevented from being influenced by the unqualified sanitation of the processing area of the analysis object, the safety performance of health-care food is reduced, and the working efficiency of health-care food processing is reduced.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a health food processing operation supervisory systems based on 5G network, includes the server, and the server communication is connected with:
the processing environment analysis unit is used for analyzing the processing environment of the health food and judging whether the processing environment of the health food is qualified or not, so that the influence of the processing environment on the production of the health food is analyzed in real time, the health food is marked as an analysis object, an analysis object processing environment analysis coefficient is generated through analysis, a processing environment analysis abnormal signal and a processing environment analysis normal signal are generated through analysis of the analysis object processing environment analysis coefficient, and the processing environment analysis abnormal signal and the processing environment analysis normal signal are sent to the server;
the sanitation cleaning analysis unit is used for carrying out sanitation cleaning analysis on the processing area of the analysis object, judging whether the sanitation cleaning of the processing area of the analysis object is qualified or not, acquiring a sanitation cleaning analysis coefficient of the processing area of the analysis object through analysis, generating a sanitation cleaning analysis unqualified signal and a sanitation cleaning analysis qualified signal through the sanitation cleaning analysis coefficient analysis of the processing area of the analysis object, and sending the sanitation cleaning analysis unqualified signal and the sanitation cleaning analysis qualified signal to the server;
the processing type analysis unit is used for analyzing the processing type of the corresponding analysis object, accurately analyzing the processing efficiency of the analysis object, generating a processing type analysis qualified signal and a processing type analysis unqualified signal through analysis, and sending the processing type analysis qualified signal and the processing type analysis unqualified signal to the server;
and the market trend analysis unit is used for analyzing the current market of the analysis object, judging the sales trend of the analysis object in the market, generating a hot sales signal and a cold sales signal through analysis, and sending the hot sales signal and the cold sales signal to the server.
As a preferred embodiment of the present invention, the process environment analyzing unit operates as follows:
acquiring a maximum floating value of the temperature in the processing environment of the analysis object and an average humidity value in the corresponding processing environment, and respectively marking the maximum floating value of the temperature in the processing environment of the analysis object and the average humidity value in the corresponding processing environment as FDZi and SDZi; collecting the dust content in the air in the processing environment of the analysis object, and marking the dust content in the air in the processing environment of the analysis object as HCHi;
by the formula
Acquiring an analysis coefficient Xi of the processing environment of the analysis object, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is greater than a2 is greater than a3 is greater than 0;
comparing the analysis object processing environment analysis coefficient Xi with a processing environment analysis coefficient threshold value:
if the analysis coefficient Xi of the processing environment of the analysis object exceeds the threshold value of the analysis coefficient of the processing environment, judging that the analysis of the processing environment of the analysis object is abnormal, generating an abnormal signal of the analysis of the processing environment and sending the abnormal signal of the analysis of the processing environment to a server, and after receiving the abnormal signal of the analysis of the processing environment, the server completes the processing environment of the corresponding analysis object; and if the analysis coefficient Xi of the processing environment of the analysis object does not exceed the threshold value of the analysis coefficient of the processing environment, judging that the analysis of the processing environment of the analysis object is normal, generating a normal signal of the analysis of the processing environment, and sending the normal signal of the analysis of the processing environment to the server.
As a preferred embodiment of the present invention, the operation of the sanitary cleaning and analyzing unit is as follows:
acquiring the sanitary cleaning frequency and the average time consumption corresponding to the sanitary cleaning in the processing area of the analysis object, and respectively marking the sanitary cleaning frequency and the average time consumption corresponding to the sanitary cleaning in the processing area of the analysis object as PLi and HSi; acquiring the average air circulation speed in the processing area of the analysis object, and marking the average air circulation speed in the processing area of the analysis object as SDi;
acquiring a sanitary cleaning analysis coefficient Ci of an analysis object processing region through a formula Ci ═ beta (PLi × s1+ HSi × s2+ SDi × s3), wherein s1, s2 and s3 are preset proportional coefficients, s1 is greater than s2 is greater than s3 is greater than 0, and beta is an error correction factor and is 0.98;
comparing the sanitary clearance analysis coefficient Ci of the processing area of the analysis object with a sanitary clearance analysis coefficient threshold value: if the sanitary cleaning analysis coefficient Ci of the processing area of the analysis object exceeds the sanitary cleaning analysis coefficient threshold, judging that the sanitary cleaning analysis of the corresponding processing area of the analysis object is qualified, generating a sanitary cleaning analysis qualified signal and sending the sanitary cleaning analysis qualified signal to a server; and if the sanitary cleaning analysis coefficient Ci of the processing area of the analysis object does not exceed the sanitary cleaning analysis coefficient threshold, judging that the sanitary cleaning analysis of the corresponding processing area of the analysis object is unqualified, generating a sanitary cleaning analysis unqualified signal and sending the sanitary cleaning analysis unqualified signal to the server.
As a preferred embodiment of the present invention, the operation of the process type analyzing unit is as follows:
acquiring the number of types in the real-time production process of the analysis object and the increasing speed of the types of the analysis object in the production process, and comparing the number of types in the real-time production process of the analysis object and the increasing speed of the types of the analysis object in the production process with a type number threshold and an increasing speed threshold respectively:
if the type number of the analysis object in the real-time production process exceeds the type number threshold value and the increasing speed of the analysis object type in the production process exceeds the increasing speed threshold value, judging that the processing type of the corresponding analysis object is qualified for analysis, generating a processing type analysis qualified signal and sending the processing type analysis qualified signal to a server;
if the type number of the analysis object in the real-time production process does not exceed the type number threshold value, or the increasing speed of the analysis object type in the production process does not exceed the increasing speed threshold value, determining that the processing type analysis of the corresponding analysis object is unqualified, generating a processing type analysis unqualified signal and sending the processing type analysis unqualified signal to the server.
As a preferred embodiment of the present invention, the market trend analysis unit operates as follows:
the real-time demand of an analysis object in the current market and the average replenishment time length of the corresponding analysis object in the market are collected, and the real-time demand of the analysis object in the current market and the average replenishment time length of the corresponding analysis object in the market are respectively compared with a real-time demand threshold value and a replenishment time length threshold value:
if the real-time demand of the analysis object in the current market exceeds the real-time demand threshold, or the average replenishment time length of the corresponding analysis object in the market does not exceed the replenishment time length threshold, judging that the market trend analysis of the corresponding analysis object is qualified, marking the corresponding analysis object as a hot-selling product, generating a hot-selling signal and sending the hot-selling signal to a server;
if the real-time demand of the analysis object in the current market does not exceed the real-time demand threshold value, and the average replenishment time length of the corresponding analysis object in the market exceeds the replenishment time length threshold value, judging that the market trend analysis of the corresponding analysis object is unqualified, marking the corresponding analysis object as a cold pin product, generating a cold pin signal and sending the cold pin signal to the server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the processing environment of the health food is analyzed, and whether the processing environment of the health food is qualified or not is judged, so that the influence of the processing environment on the production of the health food is analyzed in real time, the processing qualified efficiency of the health food is ensured, and the health food is prevented from being low in qualified rate and being incapable of meeting market requirements; the health food in this application is a solid beverage type health food; the processing area of the analysis object is subjected to sanitary cleaning analysis, whether the sanitary cleaning of the processing area of the analysis object is qualified or not is judged, the processing quality of the analysis object is prevented from being influenced by the unqualified sanitation of the processing area of the analysis object, the safety performance of health-care food is reduced, and the working efficiency of health-care food processing is reduced;
2. in the invention, the processing type corresponding to the analysis object is analyzed, the processing efficiency of the analysis object is accurately analyzed, and whether the production efficiency of the analysis object meets the current market demand or not is judged, so that the processing of the analysis object is optimized in real time, and the generation benefit of the analysis object is ensured; the current market of the analysis object is analyzed, and the sales trend of the analysis object in the market is judged, so that the production of the analysis object is accurately controlled according to the sales trend, and the phenomena of lost sales or accumulation of the analysis object are prevented.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a health food processing operation monitoring system based on a 5G network.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a health food processing operation supervision system based on a 5G network comprises a server, wherein the server is in communication connection with a processing environment analysis unit, a sanitation cleaning analysis unit, a processing type analysis unit and a market trend analysis unit, and the server is in bidirectional communication connection with the processing environment analysis unit, the sanitation cleaning analysis unit, the processing type analysis unit and the market trend analysis unit;
the server generates a processing environment analysis signal and sends the processing environment analysis signal to the processing environment analysis unit, and the processing environment analysis unit analyzes the processing environment of the health food after receiving the processing environment analysis signal and judges whether the processing environment of the health food is qualified or not, so that the influence of the processing environment on the production of the health food is analyzed in real time, the processing qualified efficiency of the health food is ensured, and the health food is prevented from being low in qualified rate and being incapable of meeting market requirements; the health food in the present application is a solid beverage type health food;
marking the health food as an analysis object, setting a mark i, wherein i is a natural number greater than 1, acquiring a maximum floating value of the temperature in a processing environment of the analysis object and an average humidity value in a corresponding processing environment, and marking the maximum floating value of the temperature in the processing environment of the analysis object and the average humidity value in the corresponding processing environment as FDZi and SDZi respectively; collecting the dust content in the air in the processing environment of the analysis object, and marking the dust content in the air in the processing environment of the analysis object as HCHi;
by the formula
Acquiring an analysis coefficient Xi of the processing environment of the analysis object, wherein a1, a2 and a3 are all preset proportionality coefficients, and a1 is greater than a2 is greater than a3 is greater than 0;
comparing the analysis object processing environment analysis coefficient Xi with a processing environment analysis coefficient threshold value:
if the analysis coefficient Xi of the processing environment of the analysis object exceeds the threshold value of the analysis coefficient of the processing environment, judging that the analysis of the processing environment of the analysis object is abnormal, generating an abnormal signal of the analysis of the processing environment and sending the abnormal signal of the analysis of the processing environment to a server, and after receiving the abnormal signal of the analysis of the processing environment, the server completes the processing environment of the corresponding analysis object;
if the analysis object processing environment analysis coefficient Xi does not exceed the processing environment analysis coefficient threshold, judging that the processing environment analysis of the analysis object is normal, generating a processing environment analysis normal signal and sending the processing environment analysis normal signal to a server;
the server generates a sanitary cleaning analysis signal and sends the sanitary cleaning analysis signal to the sanitary cleaning analysis unit after receiving the processing environment analysis normal signal, the sanitary cleaning analysis unit performs sanitary cleaning analysis on the processing area of the analysis object after receiving the sanitary cleaning analysis signal, and judges whether the sanitary cleaning of the processing area of the analysis object is qualified or not, so that the processing quality of the analysis object is prevented from being influenced by the unqualified sanitation of the processing area of the analysis object, the safety performance of health-care food is reduced, and the working efficiency of health-care food processing is reduced;
acquiring the sanitary cleaning frequency and the average time consumption corresponding to the sanitary cleaning in the processing area of the analysis object, and respectively marking the sanitary cleaning frequency and the average time consumption corresponding to the sanitary cleaning in the processing area of the analysis object as PLi and HSi; acquiring the average air circulation speed in the processing area of the analysis object, and marking the average air circulation speed in the processing area of the analysis object as SDi;
acquiring a sanitary cleaning analysis coefficient Ci of an analysis object processing region through a formula Ci ═ beta (PLi × s1+ HSi × s2+ SDi × s3), wherein s1, s2 and s3 are preset proportional coefficients, s1 is greater than s2 is greater than s3 is greater than 0, and beta is an error correction factor and is 0.98;
comparing the sanitary cleaning analysis coefficient Ci of the processing area of the analysis object with a sanitary cleaning analysis coefficient threshold value:
if the sanitary cleaning analysis coefficient Ci of the processing area of the analysis object exceeds the sanitary cleaning analysis coefficient threshold, judging that the sanitary cleaning analysis of the corresponding processing area of the analysis object is qualified, generating a sanitary cleaning analysis qualified signal and sending the sanitary cleaning analysis qualified signal to a server;
if the sanitary cleaning analysis coefficient Ci of the processing area of the analysis object does not exceed the sanitary cleaning analysis coefficient threshold, judging that the sanitary cleaning analysis of the corresponding processing area of the analysis object is unqualified, generating a signal of unqualified sanitary cleaning analysis and sending the signal of unqualified sanitary cleaning analysis to a server; after receiving the unqualified sanitary cleaning analysis signal, the server completes the sanitary cleaning of the processing area corresponding to the analysis object;
the server generates a processing type analysis signal and sends the processing type analysis signal to the processing type analysis unit, and the processing type analysis unit analyzes the processing type of the corresponding analysis object after receiving the processing type analysis signal, accurately analyzes the processing efficiency of the analysis object, and judges whether the production efficiency of the analysis object meets the current market demand, so that the processing of the analysis object is optimized in real time, and the generation benefit of the analysis object is ensured;
acquiring the number of types in the real-time production process of the analysis object and the increasing speed of the types of the analysis object in the production process, and comparing the number of types in the real-time production process of the analysis object and the increasing speed of the types of the analysis object in the production process with a type number threshold value and an increasing speed threshold value respectively: the type of the analysis object is represented as the change of the production parameters of the analysis object, and if the parameters such as the shape, the volume and the like are different, the type of the analysis object corresponds to different food types;
if the type number of the analysis object in the real-time production process exceeds the type number threshold value and the increasing speed of the analysis object type in the production process exceeds the increasing speed threshold value, judging that the processing type of the corresponding analysis object is qualified for analysis, generating a processing type analysis qualified signal and sending the processing type analysis qualified signal to a server;
if the type number of the analysis object in the real-time production process does not exceed the type number threshold value, or the increasing speed of the analysis object type in the production process does not exceed the increasing speed threshold value, judging that the processing type analysis of the corresponding analysis object is unqualified, generating a processing type analysis unqualified signal and sending the processing type analysis unqualified signal to a server, and after receiving the processing type unqualified signal, the server carries out real-time development on the processing type of the corresponding analysis object;
the server generates a market trend analysis signal and sends the market trend analysis signal to the market trend analysis unit, and the market trend analysis unit analyzes the current market of the analysis object after receiving the market trend analysis signal and judges the sales trend of the analysis object in the market, so that the production of the analysis object is accurately controlled according to the sales trend, and the analysis object is prevented from being lost or stacked;
the real-time demand of an analysis object in the current market and the average replenishment time length of the corresponding analysis object in the market are collected, and the real-time demand of the analysis object in the current market and the average replenishment time length of the corresponding analysis object in the market are respectively compared with a real-time demand threshold value and a replenishment time length threshold value:
if the real-time demand of the analysis object in the current market exceeds the real-time demand threshold, or the average replenishment time length of the corresponding analysis object in the market does not exceed the replenishment time length threshold, judging that the market trend analysis of the corresponding analysis object is qualified, marking the corresponding analysis object as a hot-selling product, generating a hot-selling signal and sending the hot-selling signal to a server; after receiving the hot-off signal, the server increases the production of the corresponding analysis object;
if the real-time demand of the analysis object in the current market does not exceed the real-time demand threshold value and the average replenishment time length of the corresponding analysis object in the market exceeds the replenishment time length threshold value, judging that the market trend analysis of the corresponding analysis object is unqualified, marking the corresponding analysis object as a cold pin product, generating a cold pin signal and sending the cold pin signal to a server; and after receiving the cold pin signal, the server controls the production of the corresponding analysis object.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the system is used, the processing environment of the health food is analyzed through the processing environment analysis unit, whether the processing environment of the health food is qualified or not is judged, so that the influence of the processing environment on the production of the health food is analyzed in real time, the health food is marked as an analysis object, an analysis object processing environment analysis coefficient is generated through analysis, a processing environment analysis abnormal signal and a processing environment analysis normal signal are generated through analysis of the analysis object processing environment analysis coefficient, and the processing environment analysis abnormal signal and the processing environment analysis normal signal are sent to a server; the method comprises the steps that a sanitary cleaning analysis unit is used for carrying out sanitary cleaning analysis on a processing area of an analysis object, judging whether the sanitary cleaning of the processing area of the analysis object is qualified or not, analyzing to obtain a sanitary cleaning analysis coefficient of the processing area of the analysis object, analyzing the sanitary cleaning analysis coefficient of the processing area of the analysis object to generate a sanitary cleaning analysis unqualified signal and a sanitary cleaning analysis qualified signal, and sending the signals to a server; analyzing the processing type of the corresponding analysis object through a processing type analysis unit, accurately analyzing the processing efficiency of the analysis object, generating a processing type analysis qualified signal and a processing type analysis unqualified signal through analysis, and sending the processing type analysis qualified signal and the processing type analysis unqualified signal to a server; the current market of the analysis object is analyzed through a market trend analysis unit, the sales trend of the analysis object in the market is judged, and a hot sales signal and a cold sales signal are generated through analysis and are sent to a server.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. The utility model provides a health food processing operation supervisory systems based on 5G network which characterized in that, includes the server, and the server communication is connected with:
the processing environment analysis unit is used for analyzing the processing environment of the health-care food and judging whether the processing environment of the health-care food is qualified or not, so that the influence of the processing environment on the production of the health-care food is analyzed in real time, the health-care food is marked as an analysis object, an analysis coefficient of the processing environment of the analysis object is generated through analysis, a processing environment analysis abnormal signal and a processing environment analysis normal signal are generated through analysis of the analysis coefficient of the processing environment of the analysis object, and the processing environment analysis abnormal signal and the processing environment analysis normal signal are sent to the server;
the sanitation cleaning analysis unit is used for carrying out sanitation cleaning analysis on the processing area of the analysis object, judging whether the sanitation cleaning of the processing area of the analysis object is qualified or not, acquiring a sanitation cleaning analysis coefficient of the processing area of the analysis object through analysis, generating a sanitation cleaning analysis unqualified signal and a sanitation cleaning analysis qualified signal through the sanitation cleaning analysis coefficient analysis of the processing area of the analysis object, and sending the sanitation cleaning analysis unqualified signal and the sanitation cleaning analysis qualified signal to the server;
the processing type analysis unit is used for analyzing the processing type of the corresponding analysis object, accurately analyzing the processing efficiency of the analysis object, generating a processing type analysis qualified signal and a processing type analysis unqualified signal through analysis, and sending the processing type analysis qualified signal and the processing type analysis unqualified signal to the server;
and the market trend analysis unit is used for analyzing the current market of the analysis object, judging the sales trend of the analysis object in the market, generating a hot sales signal and a cold sales signal through analysis, and sending the hot sales signal and the cold sales signal to the server.
2. A health food processing operation supervision system based on 5G network according to claim 1, characterized by that, the processing environment analysis unit operates as follows:
acquiring a maximum floating value of the temperature in the processing environment of the analysis object and an average humidity value in the corresponding processing environment, and respectively marking the maximum floating value of the temperature in the processing environment of the analysis object and the average humidity value in the corresponding processing environment as FDZi and SDZi; collecting the dust content in the air in the processing environment of the analysis object, and marking the dust content in the air in the processing environment of the analysis object as HCHi;
obtaining an analysis coefficient of the processing environment of the analysis object through analysis; comparing the analysis coefficient of the processing environment of the analysis object with a threshold value of the analysis coefficient of the processing environment:
if the analysis coefficient of the processing environment of the analysis object exceeds the threshold value of the analysis coefficient of the processing environment, judging that the analysis of the processing environment of the analysis object is abnormal, generating an abnormal signal of the analysis of the processing environment and sending the abnormal signal of the analysis of the processing environment to a server, and after receiving the abnormal signal of the analysis of the processing environment, the server completes the processing environment corresponding to the analysis object; and if the analysis coefficient of the processing environment of the analysis object does not exceed the threshold value of the analysis coefficient of the processing environment, judging that the analysis of the processing environment of the analysis object is normal, generating a normal signal of the analysis of the processing environment, and sending the normal signal of the analysis of the processing environment to the server.
3. A 5G network-based health food processing operation supervision system according to claim 1, characterized in that the operation of the sanitation cleaning and analyzing unit is as follows:
acquiring the sanitary cleaning frequency and the average time consumption corresponding to the sanitary cleaning in the processing area of the analysis object, and respectively marking the sanitary cleaning frequency and the average time consumption corresponding to the sanitary cleaning in the processing area of the analysis object as PLi and HSi; acquiring the average air circulation speed in the processing area of the analysis object, and marking the average air circulation speed in the processing area of the analysis object as SDi;
acquiring a sanitary cleaning analysis coefficient of an analysis object processing area through analysis; comparing the sanitary cleaning analysis coefficient of the processing area of the analysis object with a sanitary cleaning analysis coefficient threshold value:
if the sanitary cleaning analysis coefficient of the analysis object processing area exceeds the sanitary cleaning analysis coefficient threshold value, judging that the sanitary cleaning analysis of the corresponding analysis object processing area is qualified, generating a sanitary cleaning analysis qualified signal and sending the sanitary cleaning analysis qualified signal to a server; and if the sanitation cleaning analysis coefficient of the analysis object processing area does not exceed the sanitation cleaning analysis coefficient threshold value, judging that the sanitation cleaning analysis of the corresponding analysis object processing area is unqualified, generating a sanitation cleaning analysis unqualified signal and sending the sanitation cleaning analysis unqualified signal to the server.
4. A health food processing operation supervision system based on 5G network according to claim 1, characterized by that, the operation process of the processing type analysis unit is as follows:
acquiring the number of types in the real-time production process of the analysis object and the increasing speed of the types of the analysis object in the production process, and comparing the number of types in the real-time production process of the analysis object and the increasing speed of the types of the analysis object in the production process with a type number threshold value and an increasing speed threshold value respectively:
if the type number of the analysis object in the real-time production process exceeds the type number threshold value and the increasing speed of the analysis object type in the production process exceeds the increasing speed threshold value, judging that the processing type of the corresponding analysis object is qualified for analysis, generating a processing type analysis qualified signal and sending the processing type analysis qualified signal to a server;
if the type number of the analysis object in the real-time production process does not exceed the type number threshold value, or the increasing speed of the analysis object type in the production process does not exceed the increasing speed threshold value, determining that the processing type analysis of the corresponding analysis object is unqualified, generating a processing type analysis unqualified signal and sending the processing type analysis unqualified signal to the server.
5. The health food processing operation supervision system based on 5G network as claimed in claim 1, wherein the market trend analysis unit operates as follows:
the real-time demand of an analysis object in the current market and the average replenishment time length of the corresponding analysis object in the market are collected, and the real-time demand of the analysis object in the current market and the average replenishment time length of the corresponding analysis object in the market are respectively compared with a real-time demand threshold value and a replenishment time length threshold value:
if the real-time demand of the analysis object in the current market exceeds the real-time demand threshold, or the average replenishment time length of the corresponding analysis object in the market does not exceed the replenishment time length threshold, judging that the market trend analysis of the corresponding analysis object is qualified, marking the corresponding analysis object as a hot-selling product, generating a hot-selling signal and sending the hot-selling signal to a server;
if the real-time demand of the analysis object in the current market does not exceed the real-time demand threshold value, and the average replenishment time length of the corresponding analysis object in the market exceeds the replenishment time length threshold value, judging that the market trend analysis of the corresponding analysis object is unqualified, marking the corresponding analysis object as a cold pin product, generating a cold pin signal and sending the cold pin signal to the server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210710935.3A CN115049280B (en) | 2022-06-22 | 2022-06-22 | Health food processing operation supervision system based on 5G network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210710935.3A CN115049280B (en) | 2022-06-22 | 2022-06-22 | Health food processing operation supervision system based on 5G network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115049280A true CN115049280A (en) | 2022-09-13 |
| CN115049280B CN115049280B (en) | 2023-05-23 |
Family
ID=83162684
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210710935.3A Active CN115049280B (en) | 2022-06-22 | 2022-06-22 | Health food processing operation supervision system based on 5G network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115049280B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115660395A (en) * | 2022-11-02 | 2023-01-31 | 江苏理工学院 | Product anti-counterfeiting method based on artificial intelligence |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016175178A1 (en) * | 2015-04-27 | 2016-11-03 | オリンパス株式会社 | Image analysis device, image analysis system, and operation method for image analysis device |
| CN112684838A (en) * | 2020-12-30 | 2021-04-20 | 凤台县正祥农业科技发展有限公司 | Pig farm environmental control system based on epidemic prevention |
| CN113793050A (en) * | 2021-09-23 | 2021-12-14 | 安徽飞凯电子技术有限公司 | Communication cabinet production line supervision system based on big data |
| CN114034826A (en) * | 2021-11-05 | 2022-02-11 | 深圳市善土实业有限公司 | Production environment monitoring system for freeze-drying cubilose process based on data analysis |
| CN114548876A (en) * | 2022-02-28 | 2022-05-27 | 江苏立阔科技有限公司 | Logistics storage monitoring system based on artificial intelligence |
-
2022
- 2022-06-22 CN CN202210710935.3A patent/CN115049280B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016175178A1 (en) * | 2015-04-27 | 2016-11-03 | オリンパス株式会社 | Image analysis device, image analysis system, and operation method for image analysis device |
| CN112684838A (en) * | 2020-12-30 | 2021-04-20 | 凤台县正祥农业科技发展有限公司 | Pig farm environmental control system based on epidemic prevention |
| CN113793050A (en) * | 2021-09-23 | 2021-12-14 | 安徽飞凯电子技术有限公司 | Communication cabinet production line supervision system based on big data |
| CN114034826A (en) * | 2021-11-05 | 2022-02-11 | 深圳市善土实业有限公司 | Production environment monitoring system for freeze-drying cubilose process based on data analysis |
| CN114548876A (en) * | 2022-02-28 | 2022-05-27 | 江苏立阔科技有限公司 | Logistics storage monitoring system based on artificial intelligence |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115660395A (en) * | 2022-11-02 | 2023-01-31 | 江苏理工学院 | Product anti-counterfeiting method based on artificial intelligence |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115049280B (en) | 2023-05-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115049280B (en) | Health food processing operation supervision system based on 5G network | |
| CN108573761A (en) | A kind of Nuclear Power Plant Equipment real-time performance monitoring method and system | |
| CN114838767B (en) | Temperature and humidity intelligent monitoring system and method for cold-chain logistics | |
| CN112684838A (en) | Pig farm environmental control system based on epidemic prevention | |
| CN115473331B (en) | Digital twin power grid electricity consumption monitoring system based on dynamic modeling | |
| CN108390793A (en) | A kind of method and device of analysis system stability | |
| CN117391482B (en) | Greenhouse temperature intelligent early warning method and system based on big data monitoring | |
| CN112101658A (en) | Fattening pig breeding feed consumption prediction method | |
| CN112493100B (en) | Cotton moisture monitoring drip irrigation control method and system based on soil water potential | |
| CN107168403B (en) | A kind of environment of chicken house system for detecting temperature based on CAN fieldbus | |
| CN116151860A (en) | Intelligent ocean service digital management system based on electronic commerce data analysis | |
| CN115136798B (en) | Intelligent ventilation system for granary | |
| CN116862731A (en) | Gastrodia elata processing raw material product storage environment supervisory systems based on thing networking | |
| CN115311114A (en) | Intelligent health management cloud platform based on health big data | |
| CN115034617A (en) | Cloud computing system for agricultural information integration | |
| CN111916096A (en) | Tibetan sheep grazing behavior monitoring method based on raspberry pie | |
| CN115053735A (en) | Constant temperature greenhouse temperature control system | |
| CN114012229A (en) | Intelligent control platform for resistance spot welding | |
| Gordon et al. | Testing for output substitution possibilities in cod fish processing in Norway | |
| CN113191559A (en) | Improved neural network short-term resident load prediction method based on autoregressive selection | |
| CN113641113B (en) | Food production line monitoring and management system based on big data | |
| CN217715353U (en) | Intelligent gateway for monitoring and controlling HVAC system | |
| CN112730765A (en) | Method and device for monitoring rice noodle cooking gelatinization degree | |
| CN117196547B (en) | Design construction integrated platform design system based on digital full life cycle | |
| CN113762369A (en) | Edible oil control system applied to food processing |
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 |