An automated manufacturing system for medical irradiated membranes

Abstract

The present invention relates to the field of automation control technology, specifically to an automated manufacturing system for medical irradiation membranes, the system comprising a material supply adjustment module, a real-time thickness control module, a quality monitoring feedback module, and an optimization adjustment module. The present invention adjusts the speed and frequency of raw material delivery through real-time data analysis to ensure real-time matching of material supply with production demand, improves the continuity of the production line and reduces material waste, uses precise thickness detection and feedback mechanisms to adjust the pressure and spacing in the production process, ensures the thickness consistency of the medical irradiation membrane, improves product quality, accurately adjusts irradiation parameters by analyzing thickness and quality data, optimizes the effect of irradiation treatment, effectively improves product consistency and safety, improves production efficiency, reduces costs, reduces human errors, and dynamically adjusts production strategies to meet different production needs, thereby enhancing production flexibility and adaptability.

Description

Technical Field

[0001] The invention relates to the technical field of automatic control, and in particular to an automatic manufacturing system for medical irradiation film. Background Art

[0002] The field of automation and control technology mainly involves the use of control systems to operate machines, equipment and processes, thereby reducing human intervention. The field includes a variety of systems and equipment, such as sensors, actuators, control software and user interfaces. Automation and control systems are widely used in manufacturing, production, transportation and service industries to improve efficiency, accuracy and reliability, while reducing costs and manpower requirements, and to monitor and adjust process parameters in real time to ensure the optimization of the production process.

[0003] Among them, the automated manufacturing system for medical irradiated films is designed to produce irradiated films for medical device packaging through an automated control system. It ensures product consistency and quality by precisely controlling each link in the production process, such as the automatic delivery of raw materials, film formation and cutting, quality inspection, and temperature, pressure and speed during processing, while improving production efficiency and reducing costs, and enhancing product reliability by reducing human errors and improving repetition accuracy.

[0004] Traditional manufacturing systems have certain limitations in processing real-time data feedback and dynamic adjustments of production lines. For example, raw material supply and product quality monitoring usually rely on preset standards and lack the ability to respond quickly to real-time data, resulting in material waste or fluctuations in product quality during the production process. Traditional systems are not flexible enough to deal with changes in production demand and require manual intervention to adjust production strategies, which increases operational complexity and reduces production efficiency. As a result, operating parameters cannot be optimized in real time during the production process, affecting production efficiency and product quality consistency. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose an automated manufacturing system for medical irradiation films.

[0006] In order to achieve the above-mentioned object, the present invention adopts the following technical solution: an automated manufacturing system for medical irradiation film, the system comprising:

[0007] The material supply adjustment module is based on the automated production line of medical irradiated membranes. It calculates the deviation between the current material delivery speed and the actual consumption, adjusts the feeding speed of the raw material delivery machine, and adjusts the feeding frequency according to the fluctuation of production demand to match the current production demand and obtain the material supply adjustment data.

[0008] The real-time thickness control module implements the material supply adjustment data, collects the real-time thickness data in the production process of the medical irradiated film through the thickness detection equipment, compares it with the target thickness data, calculates the thickness deviation index and the thickness change trend, adjusts the spacing of the irradiated film production rollers, and adjusts the processing pressure to obtain thickness control feedback data;

[0009] The quality monitoring feedback module obtains the processing quality data of the medical irradiated film based on the thickness control feedback data, identifies the quality deviation of the medical irradiated film, and adjusts the production parameters of the medical irradiated film according to the quality deviation, including adjusting the irradiation temperature, irradiation time and irradiation intensity, to generate quality adjustment parameters;

[0010] The optimization and adjustment module evaluates the mutual influence of production efficiency, production speed and product quality based on the quality adjustment parameters and the historical production efficiency data of the medical irradiated film, adjusts the production speed according to the current production demand, and obtains the production strategy optimization information.

[0011] The present invention is improved in that the method for adjusting the feeding speed of the raw material feeding machine is:

[0012] Based on the automated production line of medical irradiated film, receive the real-time data of the production line, including the current material consumption rate and raw material delivery rate;

[0013] Based on the real-time data of the production line, the formula:

[0014] Δv=v s -v c

[0015] Calculate the actual deviation Δv,

[0016] Where Δv is the actual deviation, v s is the original material feeding speed, v c is the current material consumption rate;

[0017] Based on the actual deviation Δv, the actual deviation Δv is compared with a preset threshold T. When Δv is greater than T or Δv is less than -T, the formula is:

[0018]

[0019] Calculate the adjusted feed rate v n , adjust the feeding speed of the raw material feeding machine;

[0020] Where k is the adjustment coefficient, sgn(Δv) is the sign function, T is the preset threshold, Δv is the actual deviation, d is the power exponent, and v n is the adjusted feed rate, v s is the raw delivery velocity.

[0021] The present invention is improved in that the step of obtaining the material supply adjustment data is:

[0022] Based on the automated production line of medical irradiated film, monitor the production demand data, analyze the demand fluctuations of the current production line, and use the formula:

[0023]

[0024] Calculate the production demand change rate ΔR;

[0025] Among them, ΔR is the rate of change of production demand, dt represents the time change, and dR represents the change in demand;

[0026] Based on the production demand change rate ΔR, through the formula:

[0027]

[0028] Calculate the adjusted feeding frequency f new , and combined with the adjusted feed rate v n , get material supply adjustment data;

[0029] Among them, f old is the original feeding frequency, c is the adjustment sensitivity coefficient, ΔR is the demand change rate, R avg is the average production demand.

[0030] The present invention is improved in that the method for calculating the thickness deviation index and the thickness change trend is:

[0031] Based on the automated production line of medical irradiated film, the real-time thickness data of the medical irradiated film during the production process is collected by thickness detection equipment to obtain the thickness measurement value h t ;

[0032] Based on the thickness measurement value h t , and the preset target thickness h p For comparison, use the formula:

[0033] δ h =|h t -h p |

[0034]

[0035] Calculation of thickness deviation index δ h and thickness change rate Δh, to obtain thickness change information;

[0036] Among them, δ h is the thickness deviation index, Δh is the thickness change rate, β is the adjustment parameter, and ht is the thickness measurement value at time t, h p is the target thickness, h t-1 is the measured thickness value at time t-1, t is the time point of the current measurement, and t-1 is the time point of the previous measurement.

[0037] The present invention is improved in that the step of obtaining the thickness control feedback data is:

[0038] Based on the thickness deviation index δ h And thickness change rate Δh, through the formula:

[0039]

[0040] Calculate the adjusted roller spacing d new :

[0041] Among them, d new is the adjusted roller spacing, d old is the original roller spacing, α and γ are adjustment coefficients, δ h is the thickness deviation index, Δh is the thickness change rate, and ∈ is a constant;

[0042] Based on the thickness deviation index δ h and thickness change rate Δh,

[0043]

[0044] Calculate the adjusted roller pressure p new ;

[0045] Among them, P old is the original roller pressure, δ h is the thickness deviation index, Δh is the thickness change rate, β and θ are adjustment coefficients, and κ is a constant;

[0046] The roller spacing d after the adjustment is implemented new and the adjusted roller pressure p new , adjust the spacing and processing pressure of the irradiated film production rollers to obtain thickness control feedback data.

[0047] The present invention is improved in that the step of obtaining the quality adjustment parameter is:

[0048] Based on the automated production line of medical irradiated film, the real-time irradiation dose D and dose distribution D of the medical irradiated film during the production process are obtained through irradiation detection equipment. d data.

[0049] Based on the real-time irradiation dose D and dose distribution D d data, and the predetermined target dose D t and the target distribution Ddt Compare and obtain the irradiation dose deviation ΔD and dose distribution deviation ΔD d ;

[0050] Based on the irradiation dose deviation ΔD and the dose distribution deviation ΔD d , through the formula:

[0051] T new =T old +k T ΔD

[0052]

[0053] Calculate the adjusted irradiation temperature T new , adjusted irradiation time t new and the adjusted irradiance I new , and get the quality adjustment parameters:

[0054] Where ΔD is the radiation dose deviation, ΔD d is the dose distribution deviation, e is the base of the natural logarithm, T old ,t old and I old are the original irradiation temperature, time and intensity, k T , k t and k I is the adjustment coefficient, ∈ is a constant, T new is the adjusted irradiation temperature, t new is the adjusted irradiation time, I new is the adjusted irradiation intensity.

[0055] The present invention is improved in that the method for evaluating the mutual influence of production efficiency, production speed and product quality is:

[0056] According to the historical production data of medical irradiated membrane, the historical production efficiency, production speed and product quality data of medical irradiated membrane are extracted to obtain the historical production data set.

[0057] Based on the historical production data set, the formula is:

[0058]

[0059] Calculate the correlation coefficient, evaluate the mutual impact between production efficiency, production speed and product quality, and obtain the mutual impact evaluation results:

[0060] Among them, ρ XY represents the correlation coefficient between X and Y, where X and Y represent any two of production efficiency, production speed and product quality. i and Y iIt represents the value of production efficiency, production speed or production quality at time point i. and Represents the average of X and Y.

[0061] The present invention is improved in that the steps of obtaining the production strategy optimization information are as follows:

[0062] Identify target production efficiency and target product quality based on current production needs;

[0063] Based on the target production efficiency and target product quality, combined with the mutual impact evaluation results, the formula is:

[0064]

[0065] Calculate the adjusted production speed S new , obtain production strategy optimization information;

[0066] Among them, S cur is the current production speed, S new is the adjusted production speed, ρ ES is the correlation coefficient between production efficiency E and production speed S, ρ QS is the correlation coefficient between production quality Q and production speed S, E cur is the current production efficiency, E tgt is the target production efficiency, Q cur is the current product quality, Q tgt is the target product quality, and k is the adjustment coefficient.

[0067] Compared with the prior art, the advantages and positive effects of the present invention are:

[0068] In the present invention, the speed and frequency of raw material delivery are adjusted through real-time data analysis to ensure real-time matching of material supply with production demand, improve the continuity of the production line and reduce material waste, utilize accurate thickness detection and feedback mechanism to adjust the pressure and spacing in the production process, ensure the thickness consistency of the medical irradiated film, improve product quality, analyze thickness and quality data, accurately adjust irradiation parameters, optimize the effect of irradiation treatment, effectively improve product consistency and safety, effectively improve production efficiency, reduce costs, reduce human errors, and dynamically adjust production strategies to meet different production needs, thereby enhancing production flexibility and adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 is a system flow chart of the present invention;

[0070] Figure 2 A flow chart of adjusting the feeding speed of the raw material feeding machine of the present invention;

[0071] Figure 3 A flow chart for obtaining material supply adjustment data for the present invention;

[0072] Figure 4 A flow chart of calculating the thickness deviation index and thickness variation trend of the present invention;

[0073] Figure 5 A flow chart for obtaining thickness control feedback data for the present invention;

[0074] Figure 6 A flow chart for obtaining quality adjustment parameters for the present invention;

[0075] Figure 7 A flow chart for evaluating the mutual influence of production efficiency, production speed and product quality for the present invention;

[0076] Figure 8 A flow chart for obtaining production strategy optimization information for the present invention. DETAILED DESCRIPTION

[0077] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0078] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0079] Example

[0080] See also Figure 1 The present invention provides a technical solution: an automated manufacturing system for medical irradiation film, the system comprising:

[0081] The material supply adjustment module is based on the automated production line of medical irradiated membranes, receives production line speed and real-time material consumption data, calculates the deviation between the current material delivery speed and actual consumption, and adjusts the feeding speed of the raw material delivery machine according to the deviation. It also adjusts the feeding frequency according to fluctuations in production demand to match the current production demand and obtain material supply adjustment data.

[0082] The real-time thickness control module implements material supply adjustment data, collects real-time thickness data during the production process of medical irradiation film through thickness detection equipment, compares it with the target thickness data, calculates the thickness deviation index and thickness change trend, and adjusts the spacing of the irradiation film production rollers and the processing pressure according to the thickness deviation data and thickness change trend, optimizes the consistency of the medical irradiation film thickness, and obtains thickness control feedback data;

[0083] The quality monitoring feedback module obtains the processing quality data of the medical irradiated film based on the thickness control feedback data. The quality data includes the irradiation dose and dose distribution of the irradiated film, identifies the quality deviation of the medical irradiated film, and adjusts the production parameters of the medical irradiated film according to the quality deviation, including adjusting the irradiation temperature, irradiation time and irradiation intensity, and generates quality adjustment parameters;

[0084] The optimization and adjustment module evaluates the mutual influence of production efficiency, production speed and product quality based on the quality adjustment parameters and the historical production efficiency data of medical irradiated membranes, adjusts the production speed according to the current production demand, and obtains the production strategy optimization information.

[0085] The material supply adjustment data includes the adjusted feeding speed, feeding time interval and material consumption rate. The thickness control feedback data specifically includes the adjusted roller spacing, roller pressure and thickness deviation index. The quality adjustment parameters include the optimized irradiation temperature setting, irradiation intensity setting and irradiation time setting. The production strategy optimization information includes the adjusted production speed and resource allocation.

[0086] See also Figure 2 , the method to adjust the feeding speed of the raw material feeding machine is:

[0087] Based on the automated production line of medical irradiated film, receive the real-time data of the production line, including the current material consumption rate and raw material delivery rate;

[0088] Based on the real-time data of the production line, through the formula:

[0089] Δv=v s -v c

[0090] Calculate the actual deviation Δv,

[0091] Where Δv is the actual deviation, v s is the original material feeding speed, v c is the current material consumption rate;

[0092] Based on the actual deviation Δv, the actual deviation Δv is compared with the preset threshold T. When Δv is greater than T or Δv is less than -T, the formula is:

[0093]

[0094] Calculate the adjusted feed rate v n , adjust the feeding speed of the raw material feeding machine;

[0095] Where k is the adjustment coefficient, sgn(Δv) is the sign function, T is the preset threshold, Δv is the actual deviation, d is the power exponent, and v n is the adjusted feeding speed, vs is the original feeding speed.

[0096] formula:

[0097]

[0098] Parameter meaning and acquisition method:

[0099] v s : The raw material delivery speed is obtained directly from the production line monitoring system.

[0100] v c : The current material consumption rate is obtained directly from the production line monitoring system.

[0101] Δv: The deviation between the material delivery rate and the consumption rate, calculated through real-time monitoring data.

[0102] T: Deviation threshold, which is preset according to the stability requirements of the production line and usually depends on the tolerance of the specific production environment.

[0103] k: Adjustment coefficient, which is set according to the reaction sensitivity of the production line and historical adjustment experience to ensure the adaptability and efficiency of the adjustment.

[0104] sgn(Δv): Sign function used to indicate the positive or negative sign of the deviation, which is directly determined as +1 or -1 according to the value of Δv.

[0105] d: Power exponent, used to adjust the flexibility and nonlinear response of the deviation processing, which can be set according to the past adjustment effect.

[0106] Calculation example:

[0107] Assume that at a certain moment, the raw material delivery speed of the production line is v s is 200 kg / h, the current material consumption rate v c The deviation threshold T is set to 10 kg / hour, the adjustment coefficient k is set to 5 (to provide more significant adjustment), and the power exponent d is set to 1.5 (to increase the flexibility of adjustment).

[0108] First calculate the deviation Δv:

[0109] Δv=v s -v c

[0110] =200-180

[0111] =20

[0112] Because Δv is greater than the threshold T (20>10), it means that the raw material feeding speed is too high. According to the formula, the adjusted feeding speed v is calculated. n :

[0113]

[0114] Adjusted delivery speed v n It is 195 kg / hour, which means that the original delivery speed is reduced to match the consumption speed, which effectively reduces the pressure on the production line and achieves a more balanced production state.

[0115] See also Figure 3 , the steps to obtain material supply adjustment data are:

[0116] Based on the automated production line of medical irradiated film, monitor the production demand data, analyze the demand fluctuations of the current production line, and use the formula:

[0117]

[0118] Calculate the production demand change rate ΔR;

[0119] Among them, ΔR is the rate of change of production demand, dt represents the time change, and dR represents the change in demand;

[0120] Based on the production demand change rate ΔR, through the formula:

[0121]

[0122] Calculate the adjusted feeding frequency f new , combined with the adjusted feed rate v n , get material supply adjustment data;

[0123] Among them, f old is the original feeding frequency, c is the adjustment sensitivity coefficient, ΔR is the demand change rate, R avg is the average production demand.

[0124] formula:

[0125]

[0126] Parameter details and how to obtain them:

[0127] dR: Demand change, obtained by differentiating continuous production demand data. The parameter reflects the speed of demand change over time.

[0128] ΔR: Demand change rate, through the formula Calculated as , where dt is the time interval. This reflects the increase or decrease in demand over a short period of time.

[0129] R avg : The average production demand in the long term, calculated based on past production data. It is a statistical parameter used to balance the instantaneous changes in demand.

[0130] f old : Original feeding frequency, which is the data directly obtained from the production line control system, indicating the original material supply frequency.

[0131] c: Adjustment coefficient is a coefficient set based on the historical adjustment experience and expected adjustment responsiveness of the production line, which is used to determine the impact of demand changes on the adjustment of feeding frequency.

[0132] Calculation example:

[0133] Assume that at a certain point in time, the production demand is 500 pieces / hour, and the production demand in the previous hour is 480 pieces / hour, so the demand change dR is 20 pieces / hour. Set the time interval dt to 1 hour, so the demand change rate ΔR is calculated as:

[0134]

[0135] Assume that the long-term average demand R avg The original feeding frequency is 450 pieces / hour. old The adjustment factor c is set to 0.05. According to the adjustment formula:

[0136]

[0137] Substitute the values ​​to calculate:

[0138]

[0139] Adjusted feeding frequency f new At about 30.03 times / hour, this represents a slight increase to accommodate the growth in production demand while avoiding over- or under-production.

[0140] See also Figure 4 , the method for calculating thickness deviation index and thickness change trend is:

[0141] Based on the automated production line of medical irradiated film, the real-time thickness data of the medical irradiated film during the production process is collected by thickness detection equipment to obtain the thickness measurement value h t ;

[0142] Based on the thickness measurement ht , and the preset target thickness h p For comparison, use the formula:

[0143] δ h =|h t -h p |

[0144]

[0145] Calculation of thickness deviation index δ h and thickness change rate Δh, to obtain thickness change information;

[0146] Among them, δ h is the thickness deviation index, Δh is the thickness change rate, β is the adjustment parameter, and h t is the thickness measurement value at time t, h p is the target thickness, h t-1 is the measured thickness value at time t-1, t is the time point of the current measurement, and t-1 is the time point of the previous measurement.

[0147] formula:

[0148] δ h =|h t -h p |

[0149]

[0150] Parameter details and how to obtain them:

[0151] h t : The thickness measurement value at the current time point t. The value is directly measured by the thickness detection equipment.

[0152] h p : Target thickness is the ideal thickness value pre-set according to production specifications. The value is determined based on product design requirements and quality standards.

[0153] δ h : Thickness deviation index, calculated by actual measured thickness h t With target thickness h p The difference between the two is definitely worth it.

[0154] h t-1 : The measured thickness at the previous time point, obtained by thickness detection equipment.

[0155] β: Adjustment parameter used to modify the calculation of the time difference to smooth the thickness trend measurement. The selection of parameters is based on experimental data or past experience to reduce the impact of measurement errors.

[0156] Calculation example:

[0157] Assume that in a certain production process, the target thickness value h p It is 0.5mm.

[0158] The measurement results at two consecutive time points are h t-1 =0.48mm and h t =0.52 mm. The time interval t-(t-1) is 1 hour, and the adjustment parameter β is set to 0.1.

[0159] Calculation of thickness deviation index δ h :

[0160] δ h =|h t -h p |=|0.52-0.5|=0.02mm

[0161] Calculate the thickness variation trend Δh:

[0162]

[0163] The calculation process smoothes the influence of the time difference by adjusting the parameter β, making the calculation of the thickness change trend more stable and accurate.

[0164] See also Figure 5 , the steps for obtaining thickness control feedback data are:

[0165] Based on thickness deviation index δ h And thickness change rate Δh, through the formula:

[0166]

[0167] Calculate the adjusted roller spacing d new :

[0168] Among them, d new is the adjusted roller spacing, d old is the original roller spacing, α and γ are adjustment coefficients, δ h is the thickness deviation index, Δh is the thickness change rate, and ∈ is a constant;

[0169] Based on thickness deviation index δ h and thickness change rate Δh,

[0170]

[0171] Calculate the adjusted roller pressure p new ;

[0172] Among them, p old is the original roller pressure, δ his the thickness deviation index, Δh is the thickness change rate, β and θ are adjustment coefficients, and κ is a constant;

[0173] The roller spacing after adjustment d new and the adjusted roller pressure p new , adjust the spacing and processing pressure of the irradiated film production rollers to obtain thickness control feedback data.

[0174] formula:

[0175]

[0176] Parameter details and how to obtain them:

[0177] d old : Original roller spacing, obtained directly from the setup records of the production equipment.

[0178] α: Roller spacing adjustment coefficient, determined based on historical data and equipment performance tuning.

[0179] δ h : Thickness deviation index, obtained by the previous step.

[0180] Δh: Thickness change rate, obtained by the previous step.

[0181] γ: Adjustment factor for thickness change trend, set based on past production efficiency and adjustment response.

[0182] ∈: A small positive number used to stabilize calculations and prevent large adjustments due to small changes.

[0183] p old : Original roller pressure, directly obtained from the equipment's operating interface or records.

[0184] β: Pressure adjustment factor for thickness deviation, preset based on the physical properties of the equipment and thickness control requirements.

[0185] θ: Pressure adjustment factor, used to adjust the pressure according to the thickness variation trend, depending on material properties and production requirements.

[0186] κ: A positive number used to adjust the influence of thickness change trend to ensure that the pressure is not over-adjusted when the thickness change is small. It is generally selected based on the elasticity of the material and the response speed of the pressure roller.

[0187] Calculation example:

[0188] Assumption: Original roller spacing d old =2.0mm

[0189] Thickness deviation index δ h =0.05mm

[0190] Thickness change trend Δh=0.02mm / h

[0191] Adjustment coefficient α = 0.1, γ = 0.05, ∈ = 0.01

[0192] Original roller pressure p old =1000

[0193] Pressure adjustment coefficient β = 10, θ = 5, κ = 0.1

[0194] Calculation process of adjusted roller spacing:

[0195]

[0196] Calculation process of the adjusted roller pressure:

[0197]

[0198] The adjustment shows that after the thickness deviation is detected, by fine-tuning the gap and pressure of the rollers, the production process can be precisely controlled to improve the quality consistency of the product. The adjusted gap and pressure help mitigate the impact of the thickness variation of the raw material and ensure that the final product meets the thickness specification.

[0199] See also Figure 6 , the steps to obtain the quality adjustment parameters are:

[0200] Based on the automated production line of medical irradiated film, the real-time irradiation dose D and dose distribution D of the medical irradiated film during the production process are obtained through irradiation detection equipment. d data.

[0201] Based on real-time irradiation dose D and dose distribution D d data, and the predetermined target dose D t and the target distribution D dt Compare and obtain the irradiation dose deviation ΔD and dose distribution deviation ΔD d ;

[0202] Based on irradiation dose deviation ΔD and dose distribution deviation ΔD d , through the formula:

[0203] T new =T old +k T ΔD

[0204]

[0205] Calculate the adjusted irradiation temperature T new , adjusted irradiation time t new and the adjusted irradiance Inew , and get the quality adjustment parameters:

[0206] Where ΔD is the radiation dose deviation, ΔD d is the dose distribution deviation, e is the base of the natural logarithm, T old ,t old and I old are the original irradiation temperature, time and intensity, k T , k t and k I is the adjustment coefficient, ∈ is a constant, T new is the adjusted irradiation temperature, t new is the adjusted irradiation time, I new is the adjusted irradiation intensity.

[0207] formula:

[0208] T new =T old +k T ΔD

[0209]

[0210] Parameter details and how to obtain them:

[0211] D and D d :Irradiation dose and dose distribution obtained by real-time measurement by sensors on the irradiation equipment.

[0212] D t and D dt :The target value is set by the production specification or quality control department, specifying the ideal irradiation dose and distribution pattern to be achieved to ensure product quality and safety standards.

[0213] ΔD and ΔD d :The deviation calculation is completed by comparing the actual measured value with the target value. The calculation formula is ΔD=|DD t | and ΔD d =||D d -D dt ||, where the norm ||.|| means calculating the Euclidean distance of the vector difference.

[0214] T old ,t old and I old :The original setting value is recorded in the operation interface of the production equipment or in the manufacturing process record and used as the reference value before adjustment.

[0215] Adjustment factor k T , k t and k I: The coefficient is adjusted based on previous production experience and equipment performance to accurately control the impact of changes in production parameters on the irradiation process.

[0216] ∈: A small positive number introduced to prevent the denominator from being zero during calculations. It usually takes a very small value such as 0.01.

[0217] Calculation example:

[0218] The assumed parameter values ​​are as follows:

[0219] The actual measured radiation dose D = 50, the target dose D t =45.

[0220] Adjustment coefficient kT = 0.1, k t =0.05, k I =0.02.

[0221] Original irradiation temperature T old =30℃, original irradiation time t old = 60 minutes, original irradiation intensity I old =100W. Deviation ΔD=|50-45|=5Gy.

[0222] Temperature adjustment calculation:

[0223] T new =T old +k T ΔD

[0224] =30+0.1×5

[0225] =30.5℃

[0226] Time adjustment calculation:

[0227]

[0228] Calculation of irradiation intensity adjustment:

[0229] Assume ΔD d For 3

[0230]

[0231] Adjusted parameter T new ,t new and I new The display adjusts the production settings according to the actual irradiation deviation to ensure that the quality standards of medical irradiation films meet the predetermined treatment and safety requirements.

[0232] See also Figure 7 , the method to evaluate the mutual influence of production efficiency, production speed and product quality is:

[0233] According to the historical production data of medical irradiated membrane, the historical production efficiency, production speed and product quality data of medical irradiated membrane are extracted to obtain the historical production data set.

[0234] Based on the historical production data set, the formula is:

[0235]

[0236] Calculate the correlation coefficient, evaluate the mutual impact between production efficiency, production speed and product quality, and obtain the mutual impact evaluation results:

[0237] Among them, ρ XY represents the correlation coefficient between X and Y, where X and Y represent any two of production efficiency, production speed and product quality. i and Y i It represents the value of production efficiency, production speed or production quality at time point i. and Represents the average of X and Y.

[0238] formula:

[0239]

[0240] Parameter details and how to obtain them:

[0241] X and Y: These two variables represent any two of production efficiency and production speed or product quality, respectively. The data are obtained from the production database by collecting historical production records of medical irradiated films.

[0242] X i and Y i : It is the actual value of production efficiency and production speed or quality measured at a specific point in time, extracted directly from historical data records.

[0243] and The average of X and Y is calculated by adding all X i and Y i The values ​​are summed and divided by the total number of data points.

[0244] Calculation example:

[0245] Assume the following data points:

[0246] X (production efficiency): 100, 105, 98

[0247] Y (product quality): 95, 99, 93

[0248] Calculate the average

[0249]

[0250] Calculate the correlation coefficient:

[0251] calculate For each value of:

[0252] log(|95-95.67|+1)=log(0.67+1)

[0253] ≈log(1.67)

[0254] ≈0.511

[0255] log(|99-95.67|+1)=log(3.33+1)

[0256] ≈log(4.33)

[0257] ≈1.465

[0258] log(|93-95.67|+1)=log(2.67+1)

[0259] ≈log(3.67)

[0260] ≈1.301

[0261] Calculate X and The sum of squares and products of the differences:

[0262]

[0263] product:

[0264] (100-101)·0.511+(105-101)·1.465+(98-101)·1.301

[0265] =-0.511+5.86-3.903

[0266] =1.446

[0267] Calculate the correlation coefficient:

[0268]

[0269] This calculation example shows that the correlation coefficient between production efficiency X and product quality Y is about 0.14, indicating that there is a slight positive correlation between the two in this simplified data set.

[0270] See also Figure 8 , the steps to obtain the production strategy optimization information are:

[0271] Identify target production efficiency and target product quality based on current production needs;

[0272] Based on the target production efficiency and target product quality, combined with the results of the mutual impact assessment, the formula is:

[0273]

[0274] Calculate the adjusted production speed S new , obtain production strategy optimization information;

[0275] Among them, S cur is the current production speed, S new is the adjusted production speed, ρ ES is the correlation coefficient between production efficiency E and production speed S, ρ QS is the correlation coefficient between production quality Q and production speed S, E cur is the current production efficiency, E tgt is the target production efficiency, Q cur is the current product quality, Q tgt is the target product quality, and k is the adjustment coefficient.

[0276] formula:

[0277]

[0278] Parameter details and how to obtain them:

[0279] S cur : The current production speed is obtained directly from the production line monitoring system and is expressed as the quantity produced per unit time.

[0280] ρ ES and ρ QS : is the correlation coefficient between production efficiency and production speed, production quality and production speed. Obtained through the previous steps.

[0281] E cur and Q cur :Current production efficiency and product quality are obtained from the production data management system and calculated by quality control and efficiency monitoring tools.

[0282] E tgt and Q tgt : Target production efficiency and product quality are determined based on market demand and company strategy.

[0283] k: adjustment coefficient, set based on past experience and expected adjustment responsiveness. Used to adjust the range of production speed changes to ensure that the adjusted speed meets production requirements and does not cause instability in the production process.

[0284] Calculation example:

[0285] Assume that the current production parameters and goals are as follows:

[0286] S cur =50 units / hour

[0287] E cur =80%, E tgt =85%

[0288] Q cur =95%, Q tgt =90%

[0289] ρ ES =0.5,ρ QS =-0.3

[0290] k=0.1 Calculate the adjusted production speed according to the formula:

[0291]

[0292] This calculation shows that in order to achieve the improved production efficiency and product quality goals, the production rate needs to increase slightly from 50 units per hour to approximately 50.24 units per hour.

[0293] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An automated manufacturing system for medical irradiated films, characterized in that: The system comprises: The material supply adjustment module is based on the automated production line of medical irradiated membranes. It calculates the deviation between the current material delivery speed and the actual consumption, adjusts the feeding speed of the raw material delivery machine, and adjusts the feeding frequency according to the fluctuation of production demand to match the current production demand and obtain the material supply adjustment data. The real-time thickness control module implements the material supply adjustment data, collects the real-time thickness data in the production process of the medical irradiated film through the thickness detection equipment, compares it with the target thickness data, calculates the thickness deviation index and the thickness change trend, adjusts the spacing of the irradiated film production rollers, and adjusts the processing pressure to obtain thickness control feedback data; The quality monitoring feedback module obtains the processing quality data of the medical irradiated film based on the thickness control feedback data, identifies the quality deviation of the medical irradiated film, and adjusts the production parameters of the medical irradiated film according to the quality deviation, including adjusting the irradiation temperature, irradiation time and irradiation intensity, to generate quality adjustment parameters; The optimization and adjustment module evaluates the mutual influence of production efficiency, production speed and product quality based on the quality adjustment parameters and the historical production efficiency data of the medical irradiated film, adjusts the production speed according to the current production demand, and obtains the production strategy optimization information.

2. The automated manufacturing system for medical irradiation film according to claim 1, characterized in that: The method for adjusting the feeding speed of the raw material feeding machine is: Based on the automated production line of medical irradiated film, receive the real-time data of the production line, including the current material consumption rate and raw material delivery rate; Based on the real-time data of the production line, the formula: Δv=v s -v c Calculate the actual deviation Δv, Where Δv is the actual deviation, v s is the original material feeding speed, v c is the current material consumption rate; Based on the actual deviation Δv, the actual deviation Δv is compared with a preset threshold T. When Δv is greater than T or Δv is less than -T, the formula is: Calculate the adjusted feed rate v n , adjust the feeding speed of the raw material feeding machine; Where k is the adjustment coefficient, sgn(Δv) is the sign function, T is the preset threshold, Δv is the actual deviation, d is the power exponent, and v n is the adjusted feed rate, v s is the raw delivery velocity.

3. The automated manufacturing system for medical irradiation film according to claim 2, characterized in that: The steps for obtaining the material supply adjustment data are as follows: Based on the automated production line of medical irradiated film, monitor the production demand data, analyze the demand fluctuations of the current production line, and use the formula: Calculate the production demand change rate ΔR; Among them, ΔR is the rate of change of production demand, dt represents the time change, and dR represents the change in demand; Based on the production demand change rate ΔR, through the formula: Calculate the adjusted feeding frequency f new , and combined with the adjusted feed rate v n , get material supply adjustment data; Among them, f old is the original feeding frequency, c is the adjustment sensitivity coefficient, ΔR is the demand change rate, R avg is the average production demand.

4. The automated manufacturing system for medical irradiation film according to claim 1, characterized in that: The method for calculating the thickness deviation index and the thickness variation trend is: Based on the automated production line of medical irradiated film, the real-time thickness data of the medical irradiated film during the production process is collected by thickness detection equipment to obtain the thickness measurement value h t ; Based on the thickness measurement value h t , and the preset target thickness h p For comparison, use the formula: δ h =|h t -h p | Calculation of thickness deviation index δ h and thickness change rate Δh, to obtain thickness change information; Among them, δ h is the thickness deviation index, Δh is the thickness change rate, β is the adjustment parameter, and h t is the thickness measurement value at time t, h p is the target thickness, h t-1 is the measured thickness value at time t-1, t is the time point of the current measurement, and t-1 is the time point of the previous measurement.

5. The automated manufacturing system for medical irradiation film according to claim 4, characterized in that: The steps for obtaining the thickness control feedback data are as follows: Based on the thickness deviation index δ h And thickness change rate Δh, through the formula: Calculate the adjusted roller spacing d new : Among them, d new is the adjusted roller spacing, d old is the original roller spacing, α and γ are adjustment coefficients, δ h is the thickness deviation index, Δh is the thickness change rate, and ∈ is a constant; Based on the thickness deviation index δ h and thickness change rate Δh, Calculate the adjusted roller pressure p new ; Among them, p old is the original roller pressure, δ h is the thickness deviation index, Δh is the thickness change rate, β and θ are adjustment coefficients, and κ is a constant; The roller spacing d after the adjustment is implemented new and the adjusted roller pressure p new , adjust the spacing and processing pressure of the irradiated film production rollers to obtain thickness control feedback data.

6. The automated manufacturing system for medical irradiation film according to claim 1, characterized in that: The steps of obtaining the quality adjustment parameters are: Based on the automated production line of medical irradiated film, the real-time irradiation dose D and dose distribution D of the medical irradiated film during the production process are obtained through irradiation detection equipment. d data; Based on the real-time irradiation dose D and dose distribution D d data, and the predetermined target dose D t and the target distribution D dt Compare and obtain the irradiation dose deviation ΔD and dose distribution deviation ΔD d ; Based on the irradiation dose deviation ΔD and the dose distribution deviation ΔD d , through the formula: T new =T old +k T ·ΔD Calculate the adjusted irradiation temperature T new , adjusted irradiation time t new and the adjusted irradiance I new , and get the quality adjustment parameters: Where ΔD is the radiation dose deviation, ΔD d is the dose distribution deviation, e is the base of the natural logarithm, T old ,t old and I old are the original irradiation temperature, time and intensity, k T , k t and k I is the adjustment coefficient, ∈ is a constant, T new is the adjusted irradiation temperature, t new is the adjusted irradiation time, I new is the adjusted irradiation intensity.

7. The automated manufacturing system for medical irradiation film according to claim 1, characterized in that: The method for evaluating the mutual influence of production efficiency, production speed and product quality is: According to the historical production data of medical irradiated membrane, the historical production efficiency, production speed and product quality data of medical irradiated membrane are extracted to obtain the historical production data set. Based on the historical production data set, the formula is: Calculate the correlation coefficient, evaluate the mutual impact between production efficiency, production speed and product quality, and obtain the mutual impact evaluation results: Among them, ρ XY represents the correlation coefficient between X and Y, where X and Y represent any two of production efficiency, production speed and product quality. i and Y i A value representing the production efficiency, production speed or production quality at time point i, and Represents the average of X and Y.

8. The automated manufacturing system for medical irradiation film according to claim 7, characterized in that: The steps for obtaining the production strategy optimization information are as follows: Identify target production efficiency and target product quality based on current production needs; Based on the target production efficiency and target product quality, combined with the mutual impact evaluation results, the formula is: Calculate the adjusted production speed S new , obtain production strategy optimization information; Among them, S cur is the current production speed, S new is the adjusted production speed, ρ ES is the correlation coefficient between production efficiency E and production speed S, ρ QS is the correlation coefficient between production quality Q and production speed S, E cur is the current production efficiency, E tgt is the target production efficiency, Q cur is the current product quality, Q tgt is the target product quality, and k is the adjustment coefficient.

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