A Method and System for Monitoring the Operating State Temperature of a Steam Sterilization Device

The method and system for monitoring steam sterilization equipment in pre-cooked food processing address the lack of timely risk detection by using historical data to establish safety evaluation strategies, ensuring food safety and quality through real-time anomaly detection.

CN117782361BActive Publication Date: 2025-07-15CHINESE ACAD OF INSPECTION & QUARANTINE +1
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Patent Information

Application Number
CN202311830133.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-12-28
Publication Date
2025-07-15
Estimated Expiration
2043-12-28

AI Technical Summary

Technical Problem

The existing monitoring methods for pre-made vegetables steam sterilization equipment cannot promptly warn of potential risks, and only warns will be issued when equipment is abnormal, which cannot meet the needs of food safety and hygiene.

Method used

By collecting historical operation data of each dish type, establishing operation safety evaluation strategies, conducting abnormal analysis and early warning, including real-time monitoring and comparison of temperature, time, and steam supply, and using temperature sensors and historical data to calculate risk coefficients for early warning.

Benefits of technology

It realizes timely warning of steam sterilization equipment, avoids interference from abnormal analysis on normal monitoring, improves food safety and equipment operation reliability, and ensures the safety and quality of the steam sterilization process.

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Abstract

The present invention relates to the field of monitoring the processing of prefabricated dishes, and discloses a method and system for monitoring the temperature of the operating state of a steam sterilization device, including: S100, collecting historical operating data when each type of dish is steam sterilized; S200, obtaining the corresponding operating reference data for each type of dish for the historical operating data, and establishing an operating safety evaluation strategy for each type of dish according to the operating reference data; S300, performing abnormal analysis and early warning on each steam sterilization process according to the operating safety evaluation strategy corresponding to each type of dish. When each type of dish is steam sterilized, the present invention evaluates the sterilization process of this type of dish through the corresponding operating safety evaluation strategy. Therefore, when the operating parameters of this type of dish during steam sterilization deviate significantly from the subordinate operating data, it can accurately determine whether the steam sterilization process is safe, thereby ensuring the safety of the steam sterilization device.
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Description

Technical Field

[0001] The present invention relates to the field of monitoring the processing of prefabricated dishes, and specifically to a method and system for monitoring the temperature of the operating state of a steam sterilization device. Background Art

[0002] The development of the modern food industry and consumers' increasing demands for food safety and health. In the food industry, in order to meet consumers' demands and improve the quality and safety of products, various effective sterilization methods are needed to ensure the safety and hygiene of food.

[0003] Steam sterilization is an effective sterilization method that can kill microorganisms in food and ensure the safety and hygiene of food; in terms of prefabricated dish processing technology, through steam sterilization, the storage period of prefabricated dishes can be extended, reducing the possibility of food spoilage; and the original flavor and taste of food can be maintained, improving the quality and competitiveness of products.

[0004] Most of the existing monitoring of the steam sterilization state of prefabricated dishes often only obtains data related to the operating state of the equipment, and often issues warnings only after abnormalities have occurred, and cannot give early warnings of potential risks in a timely manner according to the working state of the prefabricated dish steam sterilization equipment; therefore, a method and system for monitoring the temperature of the operating state of a steam sterilization device are proposed to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to provide a method and system for monitoring the temperature of the operating state of a steam sterilization device to solve the above technical problems.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A method for monitoring the temperature of the operating state of a steam sterilization device includes:

[0008] S100. Collect historical operation data when each type of dish is subjected to steam sterilization;

[0009] S200. Obtain the corresponding operation reference data for each type of dish based on the historical operation data, and establish an operation safety evaluation strategy for each type of dish according to the operation reference data;

[0010] S300. Conduct abnormal analysis and early warning on each steam sterilization process according to the operation safety evaluation strategy corresponding to each type of dish.

[0011] As a further technical solution, the operation reference data includes a sterilization reference temperature and a sterilization reference duration.

[0012] As a further technical solution, the process of the abnormal analysis includes:

[0013] Obtain the curve T(t) of the sterilization temperature of the i-th type of dish changing with time within a working cycle, and compare T(t) with the sterilization reference temperature T0(t) of the i-th type of dish;

[0014] Obtain the duration t during which T(t) is below T0(t) down and the number of times n d ;

[0015] Obtain the duration t during which T(t) is above T0(t) up and the number of times n u ;

[0016] Through the formula:

[0017]

[0018] Calculate the coefficient of variation F chg ;

[0019] where P s is the time length when T(t) coincides with T0(t);

[0020] Compare the coefficient of variation F chg with the average value of the coefficient of variation within a preset time period for comparison;

[0021] If then conduct a secondary analysis;

[0022] If do not conduct a secondary analysis.

[0023] As a further technical solution, the process of the anomaly analysis further includes:

[0024] Establish the curve L(w) of the sterilization duration of the i-th type of dish changing with the processing quantity according to the processing quantity and sterilization duration of the i-th type of dish in the historical working cycle;

[0025] Fit the K value of the curve L(w) according to the linear regression algorithm;

[0026] Judge the influence of the current dish processing quantity on the K value;

[0027] When the increase in the K value caused by the current dish processing quantity is greater than the preset threshold, conduct a secondary analysis;

[0028] Otherwise, do not conduct a secondary analysis.

[0029] As a further technical solution, the process of the secondary analysis of the sterilization temperature is:

[0030] Based on the temperature sensor, obtain the real-time temperature t of the current steam sterilization equipment during the steam sterilization process r ;

[0031] Divide a working cycle into multiple preset time periods, obtain the lowest temperature value of the steam sterilization equipment during the steam sterilization process of the i-th type of dish in each preset time period, and calculate the average value of the lowest temperatures.

[0032] According to the historical average value of the lowest temperature and the real-time temperature t r Calculate the temperature risk coefficient q of the steam sterilization equipment;

[0033] Compare the temperature risk coefficient q with the preset threshold q th for comparison;

[0034] When q > q th it is determined that the operation risk of the steam sterilization equipment is relatively large, and a warning is issued;

[0035] Otherwise, it is determined that the operation state of the steam sterilization equipment is good.

[0036] As a further technical solution, the method for obtaining the temperature risk coefficient q is:

[0037] Through the formula:

[0038]

[0039] Calculate the temperature risk coefficient q of the steam sterilization equipment;

[0040] where n is the total number of dish types, i ∈ n, t i is the real-time temperature of the i-th type of dish during steam sterilization, and t0 is the reference temperature of the i-th type of dish during steam sterilization.

[0041] As a further technical solution, the operation reference data further includes steam supply amount data;

[0042] Perform status warning analysis based on the historical steam supply amount information and the current steam supply amount of the steam sterilization equipment.

[0043] As a further technical solution, the process of the status warning analysis includes:

[0044] Calculate the average value of the steam supply amount used each time by the steam sterilization equipment according to the historical steam supply amount and the range

[0045] Through the formula:

[0046]

[0047] Calculate the upper limit value M of the steam supply amount up;

[0048] Through the formula:

[0049]

[0050] The lower limit value M of the steam supply is calculated down ;

[0051] Among them, α and β are preset coefficients, which are determined by selecting according to historical data and empirical data;

[0052] When the steam supply M of the steam sterilization equipment i ≥M up or M i ≤M down it is determined that the state of the steam sterilization equipment is abnormal and a warning is given;

[0053] Otherwise, it is determined that the state of the steam sterilization equipment is normal.

[0054] A temperature monitoring system for the operating state of a steam sterilization equipment, comprising:

[0055] An information acquisition module for acquiring historical operation parameter information of the steam mold equipment;

[0056] An analysis and processing module for obtaining corresponding safe operation reference data for each dish type based on the historical operation parameter information, and establishing an operation safety evaluation strategy for each dish type according to the operation reference data;

[0057] A warning module for performing abnormal analysis and warning on each steam sterilization process according to the operation safety evaluation strategy corresponding to each dish type.

[0058] Advantages of the present invention:

[0059] (1) According to the historical operation data, a corresponding operation safety evaluation strategy is established for each dish. Therefore, when each dish is steam sterilized, the sterilization process of this dish is evaluated through the corresponding operation safety evaluation strategy. Therefore, when the operation parameters of the steam sterilization of this dish deviate greatly from the affiliated operation data, it can accurately judge whether the steam sterilization process is safe, thereby ensuring the safety of the steam sterilization equipment; at the same time, the corresponding operation safety evaluation strategy can take into account the actual sterilization requirements of each dish, has strong adaptability, and can ensure that under the premise of safety warning, the process of abnormal analysis and warning does not cause inconvenience to the normal monitoring process, improves the safety warning effect, and ensures the normal operation state monitoring. Description of the Drawings

[0060] The present invention will be further described below with reference to the accompanying drawings.

[0061] Figure 1 It is the process step diagram of the present invention;

[0062] Figure 2 It is the system structure block diagram of the present invention. Specific embodiments

[0063] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0064] Please refer to Figure 1 As shown, the present invention is a method for monitoring the temperature of the operating state of a steam sterilization device, including:

[0065] S100. Collect historical operation data when each type of dish is steam sterilized;

[0066] S200. Obtain the operation reference data corresponding to each type of dish for the historical operation data, and establish an operation safety evaluation strategy for each type of dish according to the operation reference data; the operation reference data includes a sterilization reference temperature and a sterilization reference duration;

[0067] S300. Perform abnormal analysis and early warning on each steam sterilization process according to the operation safety evaluation strategy corresponding to each type of dish.

[0068] Through the above technical solution, an operation safety evaluation strategy corresponding to each type of dish is established according to the historical operation data. Therefore, when each type of dish is steam sterilized, the operation safety evaluation strategy corresponding to it is used to evaluate the sterilization process of this type of dish. Therefore, when the operation parameters of the steam sterilization of this type of dish deviate greatly from the affiliated operation data, it can accurately judge whether the steam sterilization process is safe, thereby ensuring the safety of the steam sterilization device; at the same time, the corresponding operation safety evaluation strategy can take into account the actual sterilization requirements of each type of dish, has strong adaptability, and can ensure that under the premise of safety early warning, the process of abnormal analysis and early warning does not cause inconvenience to the normal monitoring process, improve the safety early warning effect, and ensure the normal operation state monitoring.

[0069] The process of the abnormal analysis includes:

[0070] Obtain the curve T(t) of the sterilization temperature of the i-th type of dish changing with time within a working cycle, and compare T(t) with the sterilization reference temperature T0(t) of the i-th type of dish;

[0071] Obtain the duration t during which T(t) is below T0(t) down and the number of times n d ;

[0072] Obtain the duration t during which T(t) is above T0(t) up and the number of times n u ;

[0073] Through the formula:

[0074]

[0075] Calculate the coefficient of variation F chg ;

[0076] where P s is the time length during which T(t) coincides with T0(t);

[0077] Compare the coefficient of variation F chg with the average value of the coefficient of variation within the preset time period ;

[0078] If then conduct a secondary analysis;

[0079] If do not conduct a secondary analysis.

[0080] Through the above technical solution, a method for analyzing steam sterilization anomalies based on historical operation data is provided in this embodiment. Specifically, through the formula: Calculate the coefficient of variation F chg ; Obviously, when the duration during which the temperature is lower than the sterilization reference temperature during each steam sterilization process is longer and the number of times is more, it indicates that the coefficient of variation of the temperature during this steam sterilization process is larger; when the duration during which the temperature is higher than the sterilization reference temperature during each steam sterilization process is longer and the number of times is more, it indicates that the coefficient of variation of the temperature during this steam sterilization process is larger; Therefore, by comparing the coefficient of variation F chg with the average value of the coefficient of variation within the preset time period ; If then conduct a secondary analysis, it means that the change in the steam sterilization temperature this time causes the coefficient of variation F chg to be too large. Therefore, a safety confirmation is carried out through the secondary analysis, and at the same time, is updated while maintaining updated. And if it means that the temperature change during this steam sterilization will not cause the coefficient of variation F chg to be too large. Therefore, no secondary analysis is conducted, and at the same time, Update; through the above analysis process, timely warnings can be given when the duration of deviation of the temperature from the sterilization reference temperature during the steam sterilization process of each dish suddenly changes significantly, thereby preventing potential dangers from affecting the safety during the steam sterilization process.

[0081] The process of the abnormal analysis further includes:

[0082] Establish a change curve L(w) of the sterilization duration of the i-th type of dish with the processing amount according to the processing amount and sterilization duration of the i-th type of dish within the historical working cycle;

[0083] Fit the K value of the curve L(w) according to the linear regression algorithm;

[0084] Judge the influence of the current dish processing amount on the K value;

[0085] When the increase in the K value caused by the current dish processing amount is greater than the preset threshold, perform secondary analysis;

[0086] Otherwise, do not perform secondary analysis.

[0087] Through the above technical solution, a method for abnormal analysis and warning according to the corresponding relationship between the processing amount and sterilization duration of each dish is provided. Specifically, establish a change curve L(w) of the sterilization duration of the i-th type of dish with the processing amount according to the processing amount and sterilization duration of the i-th type of dish within the historical working cycle; fit the K value of the curve L(w) according to the linear regression algorithm; at the same time, add the processing amount of this dish to the change curve L(w) of the sterilization duration with the processing amount, and fit the K value of the curve in real time. When the increase in the K value caused by the processing amount of this dish during sterilization is greater than the preset threshold, it indicates that there is an abnormality in the processing amount of this dish. Therefore, timely judgment is made through secondary analysis, which can avoid operation risks and ensure the safety of the dish during the steam sterilization process.

[0088] The process of performing secondary analysis on the sterilization temperature is as follows:

[0089] Based on the temperature sensor, obtain the real-time temperature t of the current steam sterilization equipment during the steam sterilization process r ;

[0090] Divide a working cycle into multiple preset time periods, obtain the lowest temperature value of the steam sterilization equipment during the steam sterilization process of the i-th type of dish in each preset time period, and calculate the average value of the lowest temperatures

[0091] According to the historical average value of the lowest temperatures and the real-time temperature t r Calculate the temperature risk coefficient q of the steam sterilization equipment;

[0092] Compare the temperature risk coefficient q with the preset threshold qth Make a comparison;

[0093] When q > q th it is determined that the operation risk of the steam sterilization equipment is relatively large, and a warning is issued;

[0094] Otherwise, it is determined that the operation state of the steam sterilization equipment is good.

[0095] The method for obtaining the temperature risk coefficient q is as follows:

[0096] Through the formula:

[0097]

[0098] Calculate the temperature risk coefficient q of the steam sterilization equipment;

[0099] where n is the total number of dish types, i ∈ n, t i is the real-time temperature of the i-th dish during steam sterilization, and t0 is the reference temperature of the i-th dish during steam sterilization.

[0100] Through the above technical solution, a secondary analysis method based on the lowest temperature average value is provided. Specifically, by dividing a working cycle into multiple preset time periods, obtaining the lowest temperature value of the steam sterilization equipment during the steam sterilization of the i-th dish in each preset time period, and calculating the lowest temperature average value Then through the formula: Calculate the temperature risk coefficient q of the steam sterilization equipment; where n is the total number of dish types, i ∈ n, t i is the real-time temperature of the i-th dish during steam sterilization, and t0 is the reference temperature of the i-th dish during steam sterilization; obviously, F chg The larger it is, the larger the temperature risk coefficient q indicates, the larger the difference is, the larger the ratio to t0 indicates, and the larger the temperature risk coefficient q indicates. Therefore, the temperature risk coefficient q is compared with the preset threshold q th Make a comparison; when q > q th it is determined that the operation risk of the steam sterilization equipment is relatively large, and a warning is issued; otherwise, it is determined that the operation state of the steam sterilization equipment is good; thus, a warning for temperature safety is carried out during the steam sterilization process, and a warning is issued in a timely manner when a temperature risk is detected, avoiding the further expansion of the risk, which can not only accurately judge the abnormal temperature state during the operation of the steam sterilization equipment, pre-detect potential temperature risks, but also improve the safety of the steam sterilization process and the final quality control of the prefabricated dishes.

[0101] The operating reference data also includes steam supply data;

[0102] Perform status warning analysis based on the historical steam supply information and the current steam supply of the steam sterilization equipment.

[0103] The process of the status warning analysis includes:

[0104] Calculate the average value of the steam supply per use of the steam sterilization equipment based on the historical steam supply. And the range

[0105] Through the formula:

[0106]

[0107] Calculate the upper limit value M of the steam supply up ;

[0108] Through the formula:

[0109]

[0110] Calculate the lower limit value M of the steam supply down ;

[0111] Among them, α and β are preset coefficients, which are determined by selecting according to historical data and empirical data;

[0112] When the steam supply M of the steam sterilization equipment i ≥M up or M i ≤M down judge that the status of the steam sterilization equipment is abnormal and give a warning;

[0113] Otherwise, judge that the status of the steam sterilization equipment is normal.

[0114] Through the above technical solution, a method for steam status warning analysis is provided. Specifically, calculate the average value of the steam supply per use of the steam sterilization equipment based on the historical steam supply and the range Through the formula: Calculate the upper limit value M of the steam supply up ; Through the formula: Calculate the lower limit value M of the steam supply down ; Among them, α and β are preset coefficients, which are determined by fitting calculation according to historical data and empirical data; Therefore, through the upper limit value M of the steam supply up and the lower limit value M of the steam supply down Compare with the steam supply of the steam sterilization equipment this time, and then it can quickly determine whether there is an abnormality in the steam supply this time. If M i ≥M up or M i≤M down When ≤ M down , it indicates that the steam supply during this steam sterilization process is significantly too little or too much, indicating that the state of the steam sterilization equipment is abnormal and an early warning process is carried out, thereby ensuring the safety of the steam supply volume during the steam sterilization process; and the supply volume during this steam sterilization process can be monitored in real time. Once it is found during the operation process that the steam supply volume exceeds the upper limit value M of the steam supply volume up , an abnormality is judged in a timely manner, and the operation of the steam sterilization equipment is aborted to prevent the internal steam supply from being excessive and causing the expansion of danger, and ultimately causing serious accidents such as explosion, so as to improve the safety of the overall steam sterilization equipment.

[0115] Please refer to Figure 2 shown in Figure 0000328, a temperature monitoring system for the operating state of a steam sterilization device, comprising:

[0116] An information collection module for collecting historical operation parameter information of the steam sterilization device;

[0117] An analysis and processing module for obtaining the corresponding safe operation reference data for each dish type according to the historical operation parameter information, and establishing an operation safety evaluation strategy for each dish type according to the operation reference data;

[0118] An early warning module for performing abnormality analysis and early warning on each steam sterilization process according to the operation safety evaluation strategy corresponding to each dish type.

[0119] The above has described an embodiment of the present invention in detail, but the content described is only a preferred embodiment of the present invention and cannot be considered as being used to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the application of the present invention shall still fall within the scope covered by the patent of the present invention.

Claims

1. A method for monitoring the temperature of the operating state of a steam sterilization device, characterized in that, Including: S100. Collect the historical operation data when each type of dish is steam sterilized; S200. Obtain the operation reference data corresponding to each type of dish for the historical operation data, and establish an operation safety evaluation strategy for each type of dish according to the operation reference data; S300. Conduct abnormal analysis and early warning for each steam sterilization process according to the operation safety evaluation strategy corresponding to each type of dish; The process of the abnormal analysis includes: Obtain the curve of the sterilization temperature of the i-th type of dish changing with time within one working cycle , compare with the sterilization reference temperature of the i-th type of dish ; Obtain Located at Duration below And number of times ; Obtain Located at Duration above And number of times ; Through the formula: ; Calculate the coefficient of variation ; Among them, is the time length that coincides with the overlapping time length; Compare the coefficient of variation with the average value of the coefficient of variation within a preset time period for comparison; If , then perform secondary analysis; If , no secondary analysis is performed; The process of secondary analysis of the sterilization temperature is: Obtain the real-time temperature of the current steam sterilization equipment during the steam sterilization process based on a temperature sensor ; Divide a working cycle into multiple preset time periods, obtain the lowest temperature value during the steam sterilization process of the steam sterilization equipment for the i-th type of dish in each preset time period, and calculate the average value of the lowest temperatures ; Based on the average of historical minimum temperatures and the real-time temperature calculate the temperature risk coefficient of this steam sterilization equipment ; Compare the temperature risk coefficient with a preset threshold value for comparison; When it is determined that the operating risk of the steam sterilization equipment is relatively high, a warning is issued; Otherwise, it is judged that the operation state of the steam sterilization equipment is good; The temperature risk coefficient is obtained by the following method: Through the formula: ; Calculate the temperature risk coefficient of the steam sterilization equipment ; where n is the total number of dish types, and i ∈ n, is the real-time temperature for steam sterilization of the i-th dish, is the reference temperature for steam sterilization of the i-th dish; The process of the abnormal analysis further includes: Establish a curve showing the change of the sterilization duration of the i-th type of dish with the processing quantity based on the processing quantity and sterilization duration of the i-th type of dish within the historical working cycle ; Fitting a curve according to the linear regression algorithm of the K value; Judge the influence of the current dish processing amount on the K value; When the increase in the K value caused by the current dish processing amount is greater than the preset threshold, secondary analysis is performed; Otherwise, no secondary analysis is performed.

2. The method for monitoring the temperature of the operating state of the steam sterilization equipment according to claim 1, wherein The operation reference data includes the sterilization reference temperature and the sterilization reference duration.

3. The method for monitoring the temperature of the operating state of the steam sterilization equipment according to claim 1, wherein The operation reference data further includes steam supply amount data; Conduct status early warning analysis according to the historical steam supply amount information and the current steam supply amount of the steam sterilization equipment.

4. The method for monitoring the temperature of the operating state of the steam sterilization equipment according to claim 3, wherein, The process of the status early warning analysis includes: Calculate the average value of the steam supply amount used each time for this steam sterilization equipment based on the historical steam supply amount and the range ; Through the formula: ; Calculate the upper limit value of the steam supply ; Through the formula: ; Calculate the lower limit value of the steam supply ; Among them, and are preset coefficients, which are selected and determined according to historical data and empirical data; At the steam supply amount of this steam sterilization equipment or judge that the state of this steam sterilization equipment is abnormal and give an early warning; Otherwise, it is judged that the state of the steam sterilization equipment is normal.

5. A temperature monitoring system for the operating state of a steam sterilization device, characterized in that, This system is used to execute the steam sterilization equipment operation state temperature monitoring method described in claim 1, including: An information collection module, which is used to collect the historical operation parameter information of the steam sterilization equipment; An analysis and processing module, which is used to obtain the safe operation reference data corresponding to each type of dish for the historical operation parameter information, and establish an operation safety evaluation strategy for each type of dish according to the operation reference data; An early warning module, which is used to conduct abnormal analysis and early warning for each steam sterilization process according to the operation safety evaluation strategy corresponding to each type of dish.

Citation Information

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