Real-time intelligent detection system and method for air tightness of steam cabinet

Abstract

The invention relates to the technical field of steam cabinet air tightness detection, and particularly discloses a steam cabinet air tightness real-time intelligent detection system and method.The system is provided with a steam cabinet sealing strip analysis module, a steam cabinet overall state data acquisition module, an air tightness detection deviation matching module, an air tightness state analysis module and a steam cabinet air tightness intelligent detection module; the problems that a traditional steam cabinet detection method mainly adopts manual regular inspection, the efficiency is low, the accuracy is difficult to guarantee, traditional detection mainly adopts simple appearance inspection or pressure test, the influence of the steam cabinet on the air tightness in an actual working state cannot be well considered, data utilization and analysis are insufficient, and an intelligent early warning function is lacked are solved. The air tightness state of the steam cabinet can be evaluated more comprehensively, and the actual situation of the air tightness of the steam cabinet can be reflected more accurately. Moreover, the method can better adapt to the characteristics of different steam cabinets, and improves the detection accuracy and practicability.

Description

Technical Field

[0001] The present invention relates to the technical field of steam cabinet air tightness detection, and in particular to a steam cabinet air tightness real-time intelligent detection system and method. Background Art

[0002] In the food processing industry, steam cabinets are commonly used cooking equipment. Steam cabinets consume a lot of energy to generate steam during operation. If the air tightness of the steam cabinet is not good, steam leakage will cause heat loss, and the steam cabinet will require more energy to maintain the set working temperature and pressure. According to statistics, the energy loss of a steam cabinet with poor air tightness may be 20%-30% higher than that of a steam cabinet with good air tightness. Against the background of rising energy costs and increasing environmental awareness, improving the air tightness of the steam cabinet is of great significance to reducing energy consumption and achieving energy conservation and emission reduction. Good air tightness of the steam cabinet can reduce the discomfort caused by steam leakage, and the real-time intelligent detection system can ensure the safety of users, while improving the user's cooking experience by optimizing the performance of the steam cabinet.

[0003] Nowadays, there are still some deficiencies in the research on real-time intelligent detection of steam cabinet air tightness. Specifically, the traditional steam cabinet detection method is mainly manual regular inspection, which is not only inefficient but also difficult to guarantee accuracy. In addition, traditional detection is mainly simple appearance inspection or pressure test. However, this test method is not accurate enough. It cannot well consider the impact of the steam cabinet on air tightness under actual working conditions. In addition, data utilization and analysis are insufficient. It is difficult to accurately determine all possible leakage locations through a single pressure test, and it lacks intelligent early warning function. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a real-time intelligent detection system and method for air tightness of a steam cabinet, which can effectively solve the problems involved in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides a real-time intelligent detection system for air tightness of a steamer, comprising a steamer sealing strip analysis module, a steamer overall state data acquisition module, an air tightness detection deviation matching module, an air tightness state analysis module and a steamer air tightness intelligent detection module, wherein: the steamer sealing strip analysis module is used to analyze the historical usage characteristics of the steamer sealing strip to obtain a steamer sealing strip historical usage data set; the steamer overall state data acquisition module is used to analyze the state of the steamer cabinet, cabinet door and internal storage to obtain a steamer cabinet, cabinet door and internal storage state data set; the air tightness detection deviation matching module , which is used to obtain the influencing factor of the steamer air tightness detection based on the historical usage data set of the steamer sealing strip and the data set of the steamer cabinet body, cabinet door and internal storage status, and match the steamer air tightness detection deviation value; the air tightness status analysis module is used to obtain the steamer air tightness status analysis data, and the steamer air tightness status analysis data specifically includes the steamer inside and outside temperature difference analysis index, the steamer inside and outside air pressure analysis index, and the steamer airflow analysis index. Based on the steamer air tightness status analysis data, the steamer air tightness status analysis signal is obtained; the steamer air tightness intelligent detection module is used to combine the steamer air tightness status analysis signal and the steamer air tightness detection deviation value to obtain the real-time intelligent detection result of the steamer air tightness.

[0006] As a further solution, the historical usage characteristics of steam cabinet sealing strips are analyzed to obtain a historical usage data set of steam cabinet sealing strips. The specific analysis process is as follows: from the maintenance records, production batch information and historical data of built-in sensors of the steam cabinet, the time points of replacement or repair of steam cabinet sealing strips are collected, and the historical service life T of steam cabinet sealing strips is calculated. seal , the first installation year is t sc , the current year is t dx , then T seal =t dx -t sc Based on the temperature sensor arranged near the sealing strip of the steam cabinet, the temperature value T is recorded during the past operation period. i , i is the number of each sampling moment, i = 1, 2.3, ..., n, n is the total number of sampling moments, and the historical average temperature T of the steam cabinet sealing strip is calculated according to the arithmetic mean method tem :

[0007]

[0008] Based on the humidity sensor arranged near the sealing strip of the steam cabinet, the humidity value H is recorded during the past operation period. i , calculate the average humidity H of the steam cabinet sealing strip in history according to the arithmetic mean method wsd :

[0009]

[0010] The historical service life of the steam cabinet sealing strip, the historical average temperature of the steam cabinet sealing strip and the historical average humidity of the steam cabinet sealing strip are recorded as the steam cabinet sealing strip historical use data set.

[0011] As a further solution, the status of the steam cabinet, cabinet door and internal storage are analyzed to obtain the status data set of the steam cabinet, cabinet door and internal storage. The specific analysis process is as follows: a strain gauge sensor is installed on the steam cabinet body, and the steam cabinet is heated from room temperature T zc Heating to working high temperature T work During the process, the strain change of the steam cabinet body ΔL is measured pz , the original length L of the steam cabinet is known pz , calculate the thermal expansion coefficient A of the steam cabinet material pz :

[0012]

[0013] Use a laser flatness measuring instrument to scan the cabinet door in multiple directions (horizontally and vertically) to obtain the height deviation value h of each measuring point. ab , a is the number of each horizontal measurement line, b is the number of each longitudinal measurement line, a=1,2.3,...,x; b=1,2.3,...,y, the flatness index F of the steam cabinet door is characterized by calculating the root mean square of the height deviation value of each measurement point door :

[0014]

[0015] Get the total number of shelves N inside the steam cabinet zw , the total area of ​​the internal rack pores of the steam cabinet is A pore , the internal cross-sectional area of ​​the steam cabinet is A cabinet , calculate the porosity index K of the internal shelf of the steam cabinet x :

[0016]

[0017] Among them, e is a natural constant;

[0018] The thermal expansion coefficient of the steam cabinet body material, the flatness index of the steam cabinet door, and the porosity index of the internal storage rack of the steam cabinet are marked as the steam cabinet body, cabinet door and internal storage status data set.

[0019] As a further solution, based on the historical usage data set of the steamer sealing strip and the data set of the steamer cabinet body, cabinet door and internal storage status, the steamer air tightness detection influencing factor is obtained, and the steamer air tightness detection deviation value is matched. The specific analysis process is: based on the historical usage data set of the steamer sealing strip and the data set of the steamer cabinet body, cabinet door and internal storage status, the steamer air tightness detection influencing factor is obtained through comprehensive analysis, and the steamer air tightness detection influencing factor is used as the analysis basis for matching the steamer air tightness detection deviation value; the steamer air tightness detection influencing factor-steamer air tightness detection deviation value mapping table pre-stored in the database is obtained, and by searching the mapping table, the matching steamer air tightness detection deviation value is found according to the calculated steamer air tightness detection influencing factor.

[0020] As a further solution, the influencing factors of steam cabinet air tightness detection, the specific analysis process is as follows:

[0021]

[0022] In the formula, γ is the influencing factor of steam cabinet air tightness detection, α is the first influencing factor of steam cabinet air tightness detection, β is the second influencing factor of steam cabinet air tightness detection, σ 1 T is set seal The compensation factor, σ 2 T is set tem The compensation factor, σ 3 The set H wsd The compensation factor, τ 1 A is set pz The compensation factor, τ 2 The set F door The compensation factor, τ 3 K is set x compensation factor.

[0023] As a further solution, the air tightness status analysis data of the steam cabinet is obtained, and the air tightness status analysis data of the steam cabinet specifically includes the temperature difference analysis index inside and outside the steam cabinet, the air pressure analysis index inside and outside the steam cabinet, and the air flow analysis index of the steam cabinet. The specific analysis process is: high-precision temperature sensors are arranged inside and outside the steam cabinet respectively, and the internal temperature T of the steam cabinet is collected in real time. in and external ambient temperature T out , calculate the temperature difference analysis index I inside and outside the steam cabinet T :

[0024]

[0025] Install air pressure sensors inside and outside the steam cabinet to measure the air pressure P inside the steam cabinet. in and external air pressure P out , calculate the pressure analysis index I inside and outside the steam cabinet P :

[0026]

[0027] Based on the air flow velocity sensor arranged inside the steam cabinet, the air flow velocity V at each position is measured. P , p is the number of each measurement position, p = 1, 2.3, ..., q, q is the total number of measurement positions, calculate the average air velocity V jz :

[0028]

[0029] Get the airflow reference velocity V stored in the database 0 , Steam cabinet airflow analysis index I V The calculation formula is:

[0030]

[0031] The temperature difference analysis index inside and outside the steam cabinet, the air pressure analysis index inside and outside the steam cabinet, and the air flow analysis index of the steam cabinet are used as the analysis basis for obtaining the air tightness status analysis signal of the steam cabinet.

[0032] As a further solution, based on the steam cabinet air tightness state analysis data, a steam cabinet air tightness state analysis signal is obtained. The specific analysis process is: based on the steam cabinet air tightness state analysis data, a comprehensive analysis is performed to obtain the steam cabinet air tightness state analysis signal, and the steam cabinet air tightness state analysis signal is used as an analysis basis for obtaining the steam cabinet air tightness real-time intelligent detection result;

[0033]

[0034] Where, ω is the air tightness state analysis signal of the steam cabinet, μ 1 For setting I T The compensation factor, μ 2 For setting I P The compensation factor, μ 3 For setting I V compensation factor.

[0035] As a further solution, the steam cabinet air tightness state analysis signal and the steam cabinet air tightness detection deviation value are combined to obtain the real-time intelligent detection result of the steam cabinet air tightness. The specific analysis process is as follows: Combine the steam cabinet air tightness state analysis signal and the steam cabinet air tightness detection deviation value, and comprehensively analyze and obtain the steam cabinet air tightness state analysis feature S airtight , the steam cabinet air tightness state analysis characteristics are used as the analysis basis for obtaining the real-time intelligent detection results of the steam cabinet air tightness; the steam cabinet air tightness state analysis characteristics S airtight The steam cabinet air tightness status analysis range stored in the database [S airtight，1 , S airtight，2 ] for comparison; if S airtight Belong to [Sairtight，1 , S airtight，2 ], the real-time intelligent detection result of the steam cabinet air tightness is average; if S airtight Higher than S airtight，2 , then the real-time intelligent detection result of the steam cabinet air tightness is good; if S airtight Lower than S airtight，1 , the real-time intelligent detection result of the steam cabinet air tightness is leakage, and a steam cabinet air tightness leakage alarm is issued.

[0036] As a further solution, the steam cabinet air tightness status analysis characteristics, the specific analysis process is:

[0037]

[0038] In the formula, S airtight is the air tightness state analysis characteristic of the steam cabinet, γ 0 is the deviation value of the steam cabinet air tightness detection, ω is the steam cabinet air tightness state analysis signal, and e is a natural constant.

[0039] A second aspect of the present invention provides a real-time intelligent detection method for the air tightness of a steam cabinet, comprising the following steps: analyzing the historical usage characteristics of the steam cabinet sealing strip to obtain a historical usage data set of the steam cabinet sealing strip; analyzing the status of the steam cabinet body, cabinet door and internal storage to obtain a data set of the status of the steam cabinet body, cabinet door and internal storage; obtaining an air tightness detection influencing factor of the steam cabinet based on the historical usage data set of the steam cabinet sealing strip and the data set of the status of the steam cabinet body, cabinet door and internal storage, and matching the air tightness detection deviation value of the steam cabinet; obtaining the air tightness status analysis data of the steam cabinet, the air tightness status analysis data of the steam cabinet specifically including an analysis index of the temperature difference between the inside and outside of the steam cabinet, an analysis index of the air pressure between the inside and outside of the steam cabinet, and an analysis index of the air flow of the steam cabinet, and obtaining an air tightness status analysis signal of the steam cabinet based on the air tightness status analysis data of the steam cabinet; and obtaining a real-time intelligent air tightness detection result of the steam cabinet by combining the air tightness status analysis signal of the steam cabinet and the air tightness detection deviation value of the steam cabinet.

[0040] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0041] (1) The present invention provides a real-time intelligent detection system and method for the air tightness of a steam cabinet. The steam cabinet sealing strip analysis module can conduct an in-depth analysis of the historical usage characteristics of the sealing strip, and can provide a detailed understanding of the loss of the sealing strip under different environmental conditions. The steam cabinet overall status data acquisition module analyzes the cabinet body, cabinet door and internal storage status, covering many factors that affect air tightness, and can more comprehensively evaluate the air tightness status of the steam cabinet.

[0042] (2) The present invention can more accurately reflect the actual situation of the steam cabinet's air tightness by calculating the influencing factor of the steam cabinet's air tightness detection and matching the detection deviation value. The air tightness state analysis module generates an air tightness state analysis signal by obtaining multiple analysis indicators such as the temperature difference between the inside and outside of the steam cabinet, air pressure, and airflow, and can more comprehensively grasp the air tightness state of the steam cabinet. The steam cabinet air tightness intelligent detection module combines the air tightness state analysis signal and the detection deviation value, outputs real-time intelligent detection results, and can provide more reliable detection conclusions.

[0043] (3) The present invention obtains the influencing factors of steam cabinet air tightness detection through the historical usage data set of steam cabinet sealing strips and the data set of the cabinet body, cabinet door and internal storage status of the steam cabinet, and matches the deviation value of steam cabinet air tightness detection, which can comprehensively consider the influence of various factors on the air tightness of the steam cabinet. The usage of the steam cabinet sealing strip reflects the basic conditions of sealing, while the cabinet body, cabinet door and internal storage status involve the effect of the overall structure and internal layout of the steam cabinet on air tightness. Combining these factors can avoid the problem of inaccurate evaluation of the air tightness of the steam cabinet due to only considering a single factor. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0045] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0046] Figure 2 The figure is a schematic flow chart of the method steps of the present invention. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0048] Reference Figure 1 As shown, the first aspect of the present invention provides a real-time intelligent detection system for air tightness of a steamer, including a steamer sealing strip analysis module, a steamer overall state data acquisition module, an air tightness detection deviation matching module, an air tightness state analysis module and a steamer air tightness intelligent detection module.

[0049] The steam cabinet sealing strip analysis module is used to analyze the historical usage characteristics of the steam cabinet sealing strip and obtain the historical usage data set of the steam cabinet sealing strip.

[0050] The specific analysis process is as follows: from the maintenance records of the steam cabinet, production batch information and historical data of the built-in sensor, the time points of replacement or repair of the steam cabinet seal strip are collected to calculate the historical service life T of the steam cabinet seal strip. seal , the first installation year is t sc , the current year is t dx , then T seal =t dx -t sc Based on the temperature sensor arranged near the sealing strip of the steam cabinet, the temperature value T is recorded during the past operation period (with n sampling moments). i (i=1,2.3,...,n, n is the total number of sampling moments), i is the number of each sampling moment, and the historical average temperature T of the steam cabinet sealing strip is calculated according to the arithmetic mean method. tem :

[0051]

[0052] Based on the humidity sensor arranged near the sealing strip of the steam cabinet, the humidity value H is recorded during the past operation period (with n sampling moments). i , calculate the average humidity H of the steam cabinet sealing strip in history according to the arithmetic mean method wsd :

[0053]

[0054] The steam cabinet sealing strip historical usage data set specifically includes the historical usage years of the steam cabinet sealing strip, the historical usage average temperature of the steam cabinet sealing strip, and the historical usage average humidity of the steam cabinet sealing strip.

[0055] By calculating the historical service life of the steam cabinet sealing strip, you can intuitively understand the service time of the sealing strip. This is one of the key factors in evaluating the aging degree of the sealing strip, and can more accurately determine the replacement time of the sealing strip. This helps to reduce the risk of reduced airtightness due to aging of the sealing strip. Temperature and humidity are important environmental factors that affect the performance of the sealing strip material. For example, high temperature environment will accelerate the aging process of rubber sealing strips, making them hard, brittle, and lose elasticity, thus affecting the sealing effect. High humidity environment may cause problems such as mold and corrosion of the sealing strip. By recording these historical data, the performance changes of the sealing strip under different temperature and humidity conditions can be analyzed, providing a basis for evaluating its current and future sealing performance.

[0056] The historical usage data set of steam cabinet sealing strips covers three aspects: age, average temperature and average humidity. This multi-dimensional data can more comprehensively evaluate the historical usage of the sealing strips. These data can be used as the basis for personalized airtightness testing to obtain a more targeted airtightness testing plan for each steam cabinet, thereby improving the accuracy and effectiveness of the test.

[0057] The steam cabinet overall status data acquisition module is used to analyze the status of the steam cabinet body, cabinet doors and internal storage items, and obtain the steam cabinet body, cabinet doors and internal storage item status data set.

[0058] The specific analysis process is as follows: Install a strain gauge sensor in the steam cabinet body, and zc Heating to working high temperature T work During the process, the strain change of the steam cabinet body ΔL is measured pz , the original length L of the steam cabinet is known pz , calculate the thermal expansion coefficient A of the steam cabinet material pz :

[0059]

[0060] Use a laser flatness measuring instrument to scan the cabinet door in multiple horizontal and vertical directions (such as x horizontal measurement lines and y vertical measurement lines) to obtain the height deviation value h of each measurement point. ab , a is the number of each horizontal measurement line, b is the number of each longitudinal measurement line, a=1,2.3,...,x; b=1,2.3,...,y, the flatness index F of the steam cabinet door is characterized by calculating the root mean square of the height deviation value of each measurement point door :

[0061]

[0062] Get the total number of shelves N inside the steam cabinet zw , the total area of ​​the internal rack pores of the steam cabinet is A pore , the internal cross-sectional area of ​​the steam cabinet is A cabinet , e is a natural constant, calculate the porosity index K of the internal shelf of the steam cabinet x :

[0063]

[0064] The data set of the state of the steam cabinet body, cabinet door and internal storage specifically includes the thermal expansion coefficient of the steam cabinet body material, the flatness index of the steam cabinet door and the porosity index of the internal storage rack of the steam cabinet.

[0065] By installing strain gauge sensors on the steam cabinet to calculate the thermal expansion coefficient, the thermal expansion degree of the steam cabinet during temperature changes can be accurately quantified. During the operation of the steam cabinet, the temperature will rise from room temperature to high operating temperature, and the cabinet material will deform due to thermal expansion and contraction. This deformation may cause gaps in the connection between the cabinet and the door, and between the various components of the cabinet, which will affect the airtightness of the steam cabinet. The potential impact of this thermal deformation on the airtightness of the steam cabinet can be predicted in advance.

[0066] Using a laser flatness measuring instrument to measure the flatness of the cabinet door can accurately obtain the flatness information of the cabinet door surface. The flatness of the cabinet door is directly related to the sealing effect between it and the cabinet body. If the cabinet door has poor flatness and a large height deviation value, it will be difficult to ensure that the cabinet door fits tightly with the cabinet body when closing the cabinet door. It is easy to have a gap, causing steam leakage and affecting the air tightness of the steam cabinet. By calculating the flatness index, you can intuitively understand the sealing condition of the cabinet door. door The larger it is, the more uneven the cabinet door will be.

[0067] Calculating the porosity index of the racks inside the steam cabinet can evaluate the impact of the racks on the airflow distribution and overall air tightness inside the steam cabinet. The pore area of ​​the racks, the cross-sectional area inside the steam cabinet, and the number of racks will affect the flow path and speed of steam in the steam cabinet. If the porosity is not appropriate, the flow of steam near the racks may be blocked, resulting in local pressure changes, which in turn affects the air tightness of the steam cabinet.

[0068] The data set of the state of the steam cabinet body, cabinet door and internal storage includes the thermal expansion coefficient of the steam cabinet body material, the flatness index of the steam cabinet door and the porosity index of the internal storage rack of the steam cabinet, which can comprehensively consider the impact of the overall state of the steam cabinet on the airtight performance.

[0069] The air tightness detection deviation matching module is used to obtain the air tightness detection influencing factor of the steamer and match the air tightness detection deviation value of the steamer based on the historical usage data set of the steamer sealing strip and the data set of the steamer cabinet, cabinet door and internal storage status.

[0070] The specific analysis process is as follows: based on the historical usage dataset of the steamer sealing strip and the dataset of the steamer cabinet, cabinet door and internal storage status, a comprehensive analysis is performed to obtain the steamer air tightness detection influencing factor, and the steamer air tightness detection influencing factor is used as the analysis basis for matching the steamer air tightness detection deviation value; the steamer air tightness detection influencing factor-steamer air tightness detection deviation value mapping table pre-stored in the database is obtained, and by searching the mapping table, the matching steamer air tightness detection deviation value is found according to the calculated steamer air tightness detection influencing factor.

[0071] The influencing factors of steam cabinet air tightness detection, the specific analysis process is:

[0072]

[0073] In the formula, γ is the influencing factor of steam cabinet air tightness detection, α is the first influencing factor of steam cabinet air tightness detection, β is the second influencing factor of steam cabinet air tightness detection, σ 1 T is set seal The compensation factor, σ 2 T is set tem The compensation factor, σ 3 The set H wsdThe compensation factor, τ 1 A is set pz The compensation factor, τ 2 The set F door The compensation factor, τ 3 K is set x compensation factor.

[0074] To T seal , T tem , H wsd , A pz 、F door , K x And all the following parameters are normalized.

[0075] It should be explained that the T seal , T tem , H wsd , A pz 、F door , K x The compensation factor is obtained from the database. Based on the historical data, the historical service life of the steam cabinet sealing strip, the historical average temperature of the steam cabinet sealing strip, the historical average humidity of the steam cabinet sealing strip, the thermal expansion coefficient of the steam cabinet body material, the flatness index of the steam cabinet door and the porosity index of the steam cabinet internal shelf are established. seal , T tem , H wsd , A pz 、F door , K x The mapping set of compensation factors is obtained to obtain the current T seal , T tem , H wsd , A pz 、F door , K x The corresponding T seal , T tem , H wsd , A pz 、F door , K x compensation factor.

[0076] It should be noted that μ 1 , μ 2 , μ 3 They are also obtained through a mapping set of historical data and compensation factors established in a database, that is, the corresponding compensation factors are obtained according to the current data.

[0077] The influencing factors of steam cabinet air tightness detection are obtained by integrating the historical usage data set of steam cabinet sealing strips and the data set of steam cabinet body, cabinet door and internal storage status. This method can take into account multiple key factors related to air tightness. The service life, historical average temperature and average humidity of the steam cabinet sealing strip reflect the aging and performance changes of the sealing strip; the thermal expansion coefficient of the steam cabinet body, the flatness index of the steam cabinet door and the porosity index of the internal storage rack of the steam cabinet reflect the influence of the overall structure of the steam cabinet and the internal storage on the air tightness performance. Combining these factors can more comprehensively and accurately evaluate the air tightness status of the steam cabinet, avoiding the one-sidedness that may be caused by single factor analysis. The calculated influencing factor of steam cabinet air tightness detection is a comprehensive quantitative index, which can accurately express the comprehensive influence of various factors on the air tightness performance of the steam cabinet.

[0078] By using the pre-stored steam cabinet air tightness test influencing factor-steam cabinet air tightness test deviation value mapping table to find the matching deviation value, a personalized air tightness performance evaluation can be performed according to the specific situation of each steam cabinet. Different steam cabinets have different normal ranges of air tightness performance due to their different usage history, structural characteristics, working environment and other factors.

[0079] The airtightness status analysis module is used to obtain the airtightness status analysis data of the steam cabinet. The airtightness status analysis data of the steam cabinet specifically includes the temperature difference analysis index inside and outside the steam cabinet, the air pressure analysis index inside and outside the steam cabinet, and the airflow analysis index of the steam cabinet. Based on the airtightness status analysis data of the steam cabinet, the airtightness status analysis signal of the steam cabinet is obtained.

[0080] The specific analysis process is as follows: high-precision temperature sensors are arranged inside and outside the steam cabinet to collect the internal temperature T of the steam cabinet in real time. in and external ambient temperature T out , calculate the temperature difference analysis index I inside and outside the steam cabinet T :

[0081]

[0082] Install air pressure sensors inside and outside the steam cabinet to measure the air pressure P inside the steam cabinet. in and external air pressure P out , calculate the pressure analysis index I inside and outside the steam cabinet P :

[0083] I P =lg(1+(P in -P out +1) 2 );

[0084] Based on the air flow velocity sensors arranged at key positions inside the steam cabinet, the air flow velocity V at each position is measured. P, p is the number of each measurement position, p = 1, 2.3, ..., q, q is the total number of measurement positions, calculate the average air velocity V jz :

[0085]

[0086] Get the airflow reference velocity V stored in the database 0 , Steam cabinet airflow analysis index I V The calculation formula is:

[0087]

[0088] The temperature difference analysis index inside and outside the steam cabinet, the air pressure analysis index inside and outside the steam cabinet, and the air flow analysis index of the steam cabinet are used as the analysis basis for obtaining the air tightness status analysis signal of the steam cabinet.

[0089] Based on the steam cabinet air tightness state analysis data, a steam cabinet air tightness state analysis signal is obtained through comprehensive analysis, and the steam cabinet air tightness state analysis signal is used as an analysis basis for obtaining the steam cabinet air tightness real-time intelligent detection result;

[0090]

[0091] Where, ω is the air tightness state analysis signal of the steam cabinet, μ 1 For setting I T The compensation factor, μ 2 For setting I P The compensation factor, μ 3 For setting I V compensation factor.

[0092] By placing high-precision temperature sensors inside and outside the steam cabinet and calculating the temperature difference analysis index between the inside and outside of the steam cabinet, the temperature difference between the inside and outside of the steam cabinet can be accurately monitored. When the steam cabinet is working normally, the internal temperature will be significantly higher than the external ambient temperature. When there is a leak in the steam cabinet, the internal steam will escape, causing the internal temperature to drop and the temperature difference between the inside and outside to decrease.

[0093] Installing a pressure sensor to measure the pressure inside and outside the steam cabinet and calculate the pressure analysis index inside and outside the steam cabinet can fully evaluate the impact of the pressure difference inside and outside the steam cabinet. When the steam cabinet is working, the internal pressure is usually higher than the external pressure. If the steam cabinet is not sealed well, internal steam leakage will reduce the pressure difference between the inside and outside.

[0094] Airflow velocity sensors at key internal locations (cabinet door and sealing strip area, shelf periphery and shelf pores, steam inlet and exhaust port vicinity, corners and edge areas inside the steam cabinet) measure the airflow velocity at each location and calculate the average value, which can be used to reflect the overall situation of the airflow inside the steam cabinet. By comparing the average airflow velocity with the airflow reference velocity stored in the database and calculating the steam cabinet airflow analysis index, the rationality of the airflow inside the steam cabinet can be better evaluated.

[0095] The steam cabinet internal and external temperature difference analysis index, steam cabinet internal and external air pressure analysis index and steam cabinet airflow analysis index are used as the basis for obtaining the steam cabinet air tightness state analysis signal, which can realize the comprehensive analysis of multiple indicators. By combining these three indicators, the air tightness of the steam cabinet can be judged more comprehensively and accurately.

[0096] The steam cabinet air tightness intelligent detection module is used to combine the steam cabinet air tightness status analysis signal and the steam cabinet air tightness detection deviation value to obtain the real-time intelligent air tightness detection result of the steam cabinet.

[0097] The specific analysis process is as follows: Combine the steam cabinet air tightness state analysis signal and the steam cabinet air tightness detection deviation value, and comprehensively analyze to obtain the steam cabinet air tightness state analysis feature S airtight , the steam cabinet air tightness state analysis characteristics are used as the analysis basis for obtaining the real-time intelligent detection results of the steam cabinet air tightness; the steam cabinet air tightness state analysis characteristics S airtight The steam cabinet air tightness status analysis range stored in the database [S airtight，1 , S airtight，2 ] for comparison; if S airtight Belong to [S airtight，1 , S airtight，2 ], the real-time intelligent detection result of the steam cabinet air tightness is average; if S airtight Higher than S airtight，2 , then the real-time intelligent detection result of the steam cabinet air tightness is good; if S airtight Lower than S airtight，1 , the real-time intelligent detection result of the steam cabinet air tightness is leakage, and a steam cabinet air tightness leakage alarm is issued.

[0098] The characteristics of the steam cabinet air tightness state analysis, the specific analysis process is:

[0099]

[0100] In the formula, S airtight is the air tightness state analysis characteristic of the steam cabinet, γ 0 It is the deviation value of the steam cabinet air tightness detection.

[0101] By combining the steam cabinet air tightness state analysis signal and the steam cabinet air tightness detection deviation value to obtain the steam cabinet air tightness state analysis characteristics, multiple factors can be comprehensively considered. The steam cabinet air tightness state analysis signal reflects the real-time status of the steam cabinet such as temperature, air pressure and air flow velocity during actual operation, while the detection deviation value considers the potential impact of the historical use of the steam cabinet (such as the aging of the sealing strip, the change of the state of the cabinet body and the door, etc.) on the air tightness. This comprehensive evaluation method avoids the limitation of relying on a single factor for judgment, and reflects the air tightness performance of the steam cabinet more comprehensively and accurately.

[0102] The result of the calculation is a comprehensive quantitative characteristic index, which can accurately describe the airtightness of the steam cabinet. Compared with single indicators such as temperature difference, pressure difference or air flow velocity, this index combines the influence of multiple factors and combines these factors through a specific calculation formula, making it more effective to describe the airtightness of the steam cabinet.

[0103] By comparing the steam cabinet air tightness status analysis characteristics with the steam cabinet air tightness status analysis range stored in the database, a clear real-time intelligent test result of the steam cabinet air tightness can be obtained. This classification method is simple and clear, and divides the air tightness status into three situations: "good", "general" and "leaking", which is convenient for users to quickly understand the air tightness performance of the steam cabinet. airtight Lower than S airtight，1 The steam cabinet air tightness leakage alarm is issued in time, which can timely detect and remind users that there is an air tightness leakage problem in the steam cabinet.

[0104] In a specific embodiment, a steam cabinet was first installed in 2018, the current year is 2024, and there are 10 sampling moments in the past operation period. The temperature values ​​(unit: ° C) recorded by the temperature sensor arranged near the sealing strip of the steam cabinet are: 25, 26, 24, 27, 28, 23, 26, 25, 24, 25; the humidity values ​​(unit: %) recorded by the humidity sensor are: 50, 52, 48, 55, 53, 49, 51, 50, 47, 50.

[0105] The calculated historical service life of the steam cabinet sealing strip is 6 years, the calculated historical average temperature of the steam cabinet sealing strip is 25.3 degrees Celsius, and the calculated historical average humidity of the steam cabinet sealing strip is 50.5%.

[0106] The original length of the steam cabinet is 200cm. When the steam cabinet is heated from room temperature 20℃ to working high temperature 100℃, the strain change of the steam cabinet is measured to be 2cm. There are 5 measuring lines along the horizontal direction and 4 measuring lines along the vertical direction of the cabinet door using the laser flatness measuring instrument. The height deviation value of each measuring point is:

[0107] b＝1 b＝2 b＝3 b＝4 a＝1 1 2 1 0 a＝2 0 1 2 1 a＝3 2 0 1 2 a＝4 1 2 0 1 a＝5 0 1 2 0

[0108] The total number of shelves inside the steam cabinet is 3, and the total area of ​​the shelves inside the steam cabinet is 500cm 2 The internal cross-sectional area of ​​the steam cabinet is 2000cm 2 .

[0109] The thermal expansion coefficient of the steam cabinet body material is calculated to be 0.000125 degrees Celsius, the flatness index of the steam cabinet door is calculated to be 1.22, and the porosity index of the internal storage rack of the steam cabinet is calculated to be 3.01.

[0110] σ 1 T is set seal The compensation factor is 0.1, σ 2 T is set tem The compensation factor is 0.2, σ 3 The set H wsd The compensation factor is 0.05, τ 1 A is set pz The compensation factor is 0.3, τ 2 The set F door The compensation factor is 0.4, τ 3 K is set x The compensation factor is 0.5.

[0111] The first influencing factor of the steam cabinet air tightness detection is calculated to be 93.105, the second influencing factor of the steam cabinet air tightness detection is calculated to be 1.385, the influencing factor of the steam cabinet air tightness detection is calculated to be 5.90, and the matching deviation value of the steam cabinet air tightness detection is 0.5.

[0112] High-precision temperature sensors are placed inside and outside the steam cabinet to collect real-time data of the internal temperature of the steam cabinet at 100°C and the external ambient temperature at 25°C. Air pressure sensors are installed inside and outside the steam cabinet to measure the internal air pressure of 101325Pa and the external air pressure of 101000Pa. Five air flow velocity sensors are placed at key positions inside the steam cabinet to measure the air flow velocity (unit: m / s) at each position: 1.2, 1.3, 1.1, 1.4, 1.2. The air flow reference velocity stored in the database is 1.2m / s, μ 1 For setting I T The compensation factor is 0.5, μ 2 For setting I P The compensation factor is 0.3, μ 3 For setting I V The compensation factor is 0.4.

[0113] The calculated temperature difference analysis index inside and outside the steam cabinet is 2.60, the calculated air pressure analysis index inside and outside the steam cabinet is 5.03, the calculated average air flow velocity is 1.24, the calculated air flow analysis index of the steam cabinet is 1.02, and the calculated air tightness status analysis signal of the steam cabinet is 1.26.

[0114] The calculated air tightness state analysis characteristic of the steam cabinet is 1.29.

[0115] The air tightness status analysis range of the steam cabinet stored in the database is [1.2, 1.5]. Since 1.2<1.29<1.5, the real-time intelligent detection result of the air tightness of the steam cabinet is average.

[0116] Reference Figure 2 As shown, the second aspect of the present invention provides a real-time intelligent detection method for air tightness of a steam cabinet, comprising the following steps: analyzing the historical usage characteristics of the steam cabinet sealing strip to obtain a historical usage data set of the steam cabinet sealing strip.

[0117] The status of the steam cabinet body, cabinet door and internal storage are analyzed to obtain a data set of the status of the steam cabinet body, cabinet door and internal storage.

[0118] Based on the historical usage dataset of steam cabinet sealing strips and the dataset of the status of the steam cabinet body, cabinet door and internal storage, the influencing factors of steam cabinet air tightness detection are obtained, and the deviation values ​​of steam cabinet air tightness detection are matched.

[0119] The air tightness status analysis data of the steam cabinet is obtained. The air tightness status analysis data of the steam cabinet specifically includes an analysis index of the temperature difference between the inside and outside of the steam cabinet, an analysis index of the air pressure between the inside and outside of the steam cabinet, and an analysis index of the air flow of the steam cabinet. Based on the air tightness status analysis data of the steam cabinet, an analysis signal of the air tightness status of the steam cabinet is obtained.

[0120] Combining the steam cabinet air tightness status analysis signal and the steam cabinet air tightness detection deviation value, the real-time intelligent detection result of the steam cabinet air tightness is obtained.

[0121] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A real-time intelligent detection system for air tightness of a steam cabinet, characterized in that: It includes a steam cabinet sealing strip analysis module, a steam cabinet overall status data acquisition module, an airtightness detection deviation matching module, an airtightness status analysis module and a steam cabinet airtightness intelligent detection module, wherein: The steam cabinet sealing strip analysis module is used to analyze the historical usage characteristics of the steam cabinet sealing strip to obtain a historical usage data set of the steam cabinet sealing strip; The steam cabinet overall status data acquisition module is used to analyze the status of the steam cabinet body, cabinet door and internal storage items to obtain a data set of the status of the steam cabinet body, cabinet door and internal storage items; The air tightness detection deviation matching module is used to obtain the air tightness detection influencing factor of the steamer based on the historical usage data set of the steamer sealing strip and the data set of the steamer cabinet body, cabinet door and internal storage status, and match the air tightness detection deviation value of the steamer; The airtightness state analysis module is used to obtain the airtightness state analysis data of the steam cabinet, wherein the airtightness state analysis data of the steam cabinet specifically includes the temperature difference analysis index between the inside and outside of the steam cabinet, the air pressure analysis index between the inside and outside of the steam cabinet, and the airflow analysis index of the steam cabinet, and obtain the airtightness state analysis signal of the steam cabinet based on the airtightness state analysis data of the steam cabinet; The steam cabinet air tightness intelligent detection module is used to obtain a real-time intelligent air tightness detection result of the steam cabinet by combining the steam cabinet air tightness state analysis signal and the steam cabinet air tightness detection deviation value.

2. The real-time intelligent detection system for air tightness of a steam cabinet according to claim 1, characterized in that: The historical usage characteristics of the steam cabinet sealing strip are analyzed to obtain a historical usage data set of the steam cabinet sealing strip. The specific analysis process is as follows: From the maintenance records, production batch information, and historical data of built-in sensors of the steam cabinet, the time points of replacement or repair of the steam cabinet seal strip are collected to calculate the historical service life T of the steam cabinet seal strip. seal , the first installation year is t sc , the current year is t dx , then T seal =t dx -t sc ; Based on the temperature sensor arranged near the sealing strip of the steam cabinet, the temperature value T is recorded during the past operation period. i , i is the number of each sampling moment, i = 1, 2.3, ..., n, n is the total number of sampling moments, and the historical average temperature T of the steam cabinet sealing strip is calculated according to the arithmetic mean method tem : Based on the humidity sensor arranged near the sealing strip of the steam cabinet, the humidity value H is recorded during the past operation period. i , calculate the average humidity H of the steam cabinet sealing strip in history according to the arithmetic mean method wsd : The historical service life of the steam cabinet sealing strip, the historical average temperature of the steam cabinet sealing strip and the historical average humidity of the steam cabinet sealing strip are recorded as the steam cabinet sealing strip historical use data set.

3. The real-time intelligent detection system for air tightness of a steam cabinet according to claim 1, characterized in that: The steam cabinet body, cabinet door and internal storage status are analyzed to obtain a steam cabinet body, cabinet door and internal storage status data set. The specific analysis process is as follows: Install a strain gauge sensor on the steam cabinet body and zc Heating to working high temperature T work During the process, the strain change of the steam cabinet body ΔL is measured pz , the original length L of the steam cabinet is known pz , calculate the thermal expansion coefficient A of the steam cabinet material pz : Use a laser flatness measuring instrument to scan the cabinet door in multiple directions horizontally and vertically to obtain the height deviation value h of each measuring point. ab , a is the number of each horizontal measurement line, b is the number of each longitudinal measurement line, a=1,2.3,...,x; b=1,2.3,...,y, calculate the root mean square of the height deviation value of each measurement point to characterize the flatness index F of the steam cabinet door door : Get the total number of shelves N inside the steam cabinet zw , the total area of ​​the internal rack pores of the steam cabinet is A pore , the internal cross-sectional area of ​​the steam cabinet is A cabinet , calculate the porosity index K of the internal shelf of the steam cabinet x : Among them, e is a natural constant; The thermal expansion coefficient of the steam cabinet body material, the flatness index of the steam cabinet door, and the porosity index of the internal storage rack of the steam cabinet are marked as the steam cabinet body, cabinet door and internal storage status data set.

4. The real-time intelligent detection system for air tightness of a steam cabinet according to claim 3, characterized in that: Based on the historical usage dataset of steam cabinet sealing strips and the dataset of the status of the steam cabinet body, cabinet door and internal storage, the influencing factors of steam cabinet air tightness detection are obtained, and the deviation values ​​of steam cabinet air tightness detection are matched. The specific analysis process is as follows: Based on the historical usage dataset of steam cabinet sealing strips and the dataset of the status of the steam cabinet body, cabinet door and internal storage, a comprehensive analysis was conducted to obtain the influencing factors of steam cabinet air tightness detection. The influencing factors of steam cabinet air tightness detection were used as the analysis basis for matching the deviation value of steam cabinet air tightness detection. A mapping table of steam cabinet air tightness detection influencing factors and steam cabinet air tightness detection deviation values ​​pre-stored in the database is obtained, and a matching steam cabinet air tightness detection deviation value is found according to the calculated steam cabinet air tightness detection influencing factors by searching the mapping table.

5. The real-time intelligent detection system for air tightness of a steam cabinet according to claim 4, characterized in that: The specific analysis process of the influencing factors of the steam cabinet air tightness detection is as follows: In the formula, γ is the influencing factor of steam cabinet air tightness detection, α is the first influencing factor of steam cabinet air tightness detection, β is the second influencing factor of steam cabinet air tightness detection, and σ1 is the set T seal The compensation factor is σ2, which is the set T tem The compensation factor of H wsd The compensation factor is τ1, which is the set A pz The compensation factor is τ2, which is the set F door The compensation factor is τ3, which is the set K x The compensation factor, T seal is the historical service life of the steam cabinet sealing strip, T tem is the average temperature of the steam cabinet sealing strip in history, H wsd Use average humidity for cabinet seal history.

6. The real-time intelligent detection system for air tightness of a steam cabinet according to claim 1, characterized in that: The steam cabinet air tightness state analysis data is obtained, and the steam cabinet air tightness state analysis data specifically includes the steam cabinet internal and external temperature difference analysis index, the steam cabinet internal and external air pressure analysis index, and the steam cabinet air flow analysis index. The specific analysis process is: Temperature sensors are arranged inside and outside the steam cabinet to collect the internal temperature T of the steam cabinet in real time. in and external ambient temperature T out , calculate the temperature difference analysis index I inside and outside the steam cabinet T : Install air pressure sensors inside and outside the steam cabinet to measure the air pressure P inside the steam cabinet. in and external air pressure P out , calculate the pressure analysis index I inside and outside the steam cabinet P : AND P =lg(1+(P in -P out +1) 2 ); Based on the air flow velocity sensor arranged inside the steam cabinet, the air flow velocity V at each position is measured. P , p is the number of each measurement position, p = 1, 2.3, ..., q, q is the total number of measurement positions, calculate the average air velocity V jz : Get the airflow reference speed V0 and steam cabinet airflow analysis index I stored in the database V The calculation formula is: The temperature difference analysis index inside and outside the steam cabinet, the air pressure analysis index inside and outside the steam cabinet, and the air flow analysis index of the steam cabinet are used as the analysis basis for obtaining the air tightness status analysis signal of the steam cabinet.

7. A real-time intelligent detection system for air tightness of a steam cabinet according to claim 6, characterized in that: Based on the steam cabinet air tightness state analysis data, the steam cabinet air tightness state analysis signal is obtained, and the specific analysis process is as follows: Based on the steam cabinet air tightness state analysis data, a steam cabinet air tightness state analysis signal is obtained through comprehensive analysis, and the steam cabinet air tightness state analysis signal is used as an analysis basis for obtaining the steam cabinet air tightness real-time intelligent detection result; Where ω is the air tightness state analysis signal of the steam cabinet, μ1 is the set I T The compensation factor, μ2 is the set I P The compensation factor is μ3, which is the set I V compensation factor.

8. The real-time intelligent detection system for air tightness of a steam cabinet according to claim 1, characterized in that: The steam cabinet air tightness state analysis signal and the steam cabinet air tightness detection deviation value are combined to obtain the steam cabinet air tightness real-time intelligent detection result. The specific analysis process is as follows: Combining the steam cabinet air tightness state analysis signal and the steam cabinet air tightness detection deviation value, a comprehensive analysis is performed to obtain the steam cabinet air tightness state analysis feature S airtight , the steam cabinet air tightness state analysis characteristics are used as the analysis basis for obtaining the real-time intelligent detection results of the steam cabinet air tightness; The steam cabinet airtightness state analysis characteristic S airtight The steam cabinet air tightness status analysis range stored in the database [S airtight，1 , S airtight，2 ] for comparison; If S airtight Belong to [S airtight，1 , S airtight，2 ], the real-time intelligent detection result of the steam cabinet air tightness is fair; If S airtight Higher than S airtight，2 , then the real-time intelligent detection result of the steam cabinet air tightness is good; If S airtight Lower than S airtight，1 , the real-time intelligent detection result of the steam cabinet air tightness is leakage, and a steam cabinet air tightness leakage alarm is issued.

9. The real-time intelligent detection system for air tightness of a steam cabinet according to claim 8, characterized in that: The analysis characteristics of the steam cabinet air tightness state, the specific analysis process is: In the formula, S airtight is the air tightness state analysis characteristic of the steam cabinet, γ0 is the air tightness detection deviation value of the steam cabinet, ω is the air tightness state analysis signal of the steam cabinet, and e is a natural constant.

10. A real-time intelligent detection method for air tightness of a steam cabinet, applied to a real-time intelligent detection system for air tightness of a steam cabinet according to any one of claims 1 to 9, characterized in that: The following steps are involved: Analyze the historical usage characteristics of steam cabinet sealing strips to obtain a historical usage dataset of steam cabinet sealing strips; Analyze the status of the steam cabinet body, cabinet door and internal storage to obtain a data set of the status of the steam cabinet body, cabinet door and internal storage; Based on the historical usage dataset of steam cabinet sealing strips and the dataset of the status of the steam cabinet body, cabinet door and internal storage, the influencing factors of steam cabinet air tightness detection are obtained, and the deviation values ​​of steam cabinet air tightness detection are matched; Acquire steam cabinet air tightness state analysis data, wherein the steam cabinet air tightness state analysis data specifically includes a steam cabinet internal and external temperature difference analysis index, a steam cabinet internal and external air pressure analysis index, and a steam cabinet air flow analysis index, and obtain a steam cabinet air tightness state analysis signal based on the steam cabinet air tightness state analysis data; Combining the steam cabinet air tightness status analysis signal and the steam cabinet air tightness detection deviation value, the real-time intelligent detection result of the steam cabinet air tightness is obtained.

Images