A method for validating a disinfectant based on a jelinek code

Abstract

This invention belongs to the field of data processing technology and relates to a disinfectant efficacy verification method based on Jelling codes. This invention aims to solve the problem of existing disinfectant anti-counterfeiting verification methods that separate identity from status, failing to identify biosafety hazards caused by environmental factors leading to a drop in disinfectant potency below a threshold. The method includes: responding to a code scanning operation, parsing the Jelling code to obtain the factory fingerprint, and splicing cloud logistics and terminal storage data to form a full-link environmental monitoring sequence; using a nonlinear dynamic model to calculate the environmental pressure acceleration coefficient for each time segment to assess the degree of environmental damage to chemical properties; calculating the cumulative chemical loss and remaining potency based on this coefficient; comparing the remaining potency with a threshold, and if the threshold is met, generating a dynamic hash token containing potency information for cloud verification. This invention achieves a deep integration of physical efficacy and digital verification, significantly improving the safety and reliability of disinfectant use without the need for expensive sensors.

Description

Technical Field

[0001] This invention belongs to the field of data processing technology, specifically relating to a disinfectant efficacy testing method based on Jelling codes. Background Technology

[0002] Non-steady-state disinfectants such as chlorine dioxide, hydrogen peroxide, and peracetic acid occupy a core position in medical wastewater treatment, food processing, livestock farming, and public health disinfection due to their excellent oxidative bactericidal efficacy. However, these chemical agents have extremely high thermodynamic instability, with low chemical bond energies, making them highly sensitive to changes in the external environment. During storage and transportation, the thermodynamic effects of ambient temperature, along with the synergistic interference of kinetic factors such as humidity and light, can easily induce irreversible decomposition reactions, leading to a rapid decrease in the concentration of their active ingredients. If disinfectants whose potency has fallen below the critical threshold due to environmental factors are put into use, an effective biosafety barrier cannot be established, potentially leading to the spread of severe bacterial resistance or even large-scale biosafety incidents.

[0003] Currently, the industry widely uses one-item-one-code technology, such as the JELIN code, for anti-counterfeiting and traceability. This mechanism mainly relies on terminal scanning devices to obtain the product's unique identifier and confirms the product's authenticity by comparing it with pre-stored information in a cloud database. However, this verification mode based on static database lookup has significant technical limitations. Current expiration date labeling methods are usually calculated based on linear decay models under ideal laboratory conditions, such as measurements in a constant temperature, humidity, and light-protected environment. In actual supply chain logistics and terminal storage, products often face extremely complex environmental stresses, such as high-temperature thermal shock caused by open-air storage in summer or the permeation effect caused by high humidity at night. These nonlinear environmental fluctuations can cause cumulative chemical damage to the liquid, and traditional linear duration calculations cannot accurately reflect this physicochemical process.

[0004] The result is a severe disconnect between existing technologies and product digital identity authentication and physicochemical state assessment, leading to the contradiction that while a product may have a genuine origin, its actual efficacy may have been lost. Even products that have become substantially ineffective due to harsh environments may still receive a verification pass signal in traditional static barcode scanning, preventing users from perceiving potential risks. Therefore, overcoming the limitations of traditional linear decay models and establishing a dynamic assessment mechanism based on end-to-end environmental monitoring data to accurately calculate the actual remaining potency of disinfectants and mitigate risks has become a critical technical challenge that urgently needs to be addressed in the fields of biosafety and IoT data processing. Summary of the Invention

[0005] The purpose of this invention is to propose a disinfectant efficacy verification method based on Jelling codes, in order to solve the technical problem that the existing disinfectant anti-counterfeiting verification mechanism has the defect of separating identity and status, and cannot identify the technical problem that the efficacy of the disinfectant drops below the safety threshold due to complex environmental factors, thus causing the authenticity to be guaranteed but the efficacy to be not guaranteed.

[0006] The technical solution of the disinfectant efficacy testing method based on Jelling codes provided by this invention is as follows:

[0007] The disinfectant efficacy testing method based on the Jelling code includes the following steps:

[0008] In response to scanning the Jelin code on the disinfectant packaging, the Jelin code is parsed to obtain the product's initial factory fingerprint, and cloud logistics data is retrieved based on the Jelin code. This data is then spliced ​​together with locally stored data on the terminal according to the timeline to form a full-link environmental monitoring sequence that includes temperature and humidity.

[0009] Based on the full-link environmental monitoring sequence, the environmental pressure acceleration coefficient corresponding to each time segment is calculated using a nonlinear dynamic model. The environmental pressure acceleration coefficient is used to characterize the aging rate under the current environment relative to the standard environment.

[0010] Based on the initial factory fingerprint and the environmental pressure acceleration coefficient, the cumulative loss of the disinfectant throughout the entire lifecycle is calculated, thereby determining the theoretical remaining potency at the current moment.

[0011] The theoretical remaining valence is compared with a preset minimum effective threshold. If the theoretical remaining valence is greater than or equal to the minimum effective threshold, a dynamic verification token is generated by combining the Jelling code and the theoretical remaining valence, and then a two-way hash verification is performed with the cloud to unlock the usage permission.

[0012] Furthermore, the initial factory fingerprint includes initial factory valence, production timestamp, and chemical stability constant.

[0013] Furthermore, missing values ​​in the full-link environmental monitoring sequence are filled in by linear interpolation. The full-link environmental monitoring sequence contains data tuples for multiple time segments, and each data tuple contains the average temperature, average relative humidity, and duration of the corresponding time segment.

[0014] Furthermore, the environmental pressure acceleration factor for each time segment is calculated using the following formula:

[0015] ;

[0016] in, Indicates the first Environmental pressure acceleration coefficient within a time segment Indicates the first The average Celsius temperature over a time segment; Indicates the standard laboratory storage temperature; Indicates the temperature sensitivity index; Indicates the first Average relative humidity over a time period; This represents the humidity normalization reference constant; This represents the humidity penetration weighting coefficient.

[0017] Furthermore, the calculation of the cumulative loss of the disinfectant throughout the entire lifecycle, and the determination of the theoretical remaining valence at the current moment, is based on the following formula:

[0018] ;

[0019] in, This indicates the currently predicted concentration of the remaining active ingredient. This indicates the total number of time segments contained in the end-to-end environmental monitoring sequence. This indicates the initial concentration obtained from the initial factory fingerprint analysis. This represents the natural decay rate constant under standard conditions. Indicates the first The duration of each time segment, This represents the integral of the equivalent aging time.

[0020] Furthermore, after comparing the theoretical residual valence with the preset minimum effective threshold, the method further includes: if the theoretical residual valence is less than the minimum effective threshold, determining that the disinfectant has failed and locking the device's functionality.

[0021] Furthermore, the minimum effective threshold is the product of the initial factory potency and the preset potency safety factor, whereby the potency safety factor is used to characterize the minimum concentration percentage required for the disinfectant to maintain its sterilization activity.

[0022] Preferably, the valence safety factor ranges from 80% to 90%.

[0023] Furthermore, the generation of the dynamic verification token is based on the following formula:

[0024]

[0025] in, This indicates a dynamic verification token. Represents the hash operation function. This represents a unique identifier for the Jelling code. This represents a string conversion function. This indicates the floor function. The + indicates the theoretical residual valence, and the + indicates a string concatenation operation.

[0026] Furthermore, the bidirectional hash verification with the cloud includes:

[0027] The dynamic verification token and the unique identifier of the Jelin code are uploaded to the cloud server. The cloud server uses the synchronously uploaded end-to-end environmental monitoring sequence data to run the same algorithm as the terminal device to calculate the cloud valence and cloud token. The cloud token is compared with the dynamic verification token. If they match, a verification pass command is issued.

[0028] The beneficial effects of this invention are as follows: By splicing and initializing the data across the entire supply chain, this invention can reconstruct the complete environmental history of the disinfectant from its production stage to the present moment, providing a complete and continuous data foundation for subsequent accurate assessment. This end-to-end data reconstruction mechanism ensures that subsequent kinetic calculations are based on real physical processes, rather than fragmented speculations, thereby significantly improving the accuracy of the disinfectant's state assessment.

[0029] This invention, by constructing an environmental pressure acceleration coefficient and introducing a nonlinear kinetic model, can accurately capture the nonlinear effects of temperature and humidity fluctuations on chemical reaction rates, solving the problem that traditional linear decay models cannot accurately reflect the destructive forces of extreme environments. This invention utilizes power functions and logarithmic functions to explain the thermodynamic effects of temperature and the osmotic saturation effect of humidity, respectively, making the evaluation model more consistent with physicochemical laws and effectively identifying potential hazards caused by short-term extreme environments.

[0030] This invention achieves an integral calculation of the chemical lifetime of a disinfectant throughout its entire lifecycle by calculating cumulative losses and remaining potency. It transforms physical time into an equivalent chemical aging time, thereby accurately determining the current true state of the disinfectant solution. This integral mechanism scientifically accumulates losses under different time periods and environmental pressures, avoiding the limitations of monitoring at a single time point and providing a scientific basis for deciding whether to continue using the batch of disinfectant.

[0031] This invention uses dynamic threshold determination and hash verification feedback to bind the efficacy value as the unlocking key, preventing the misuse of expired products and greatly improving the system's anti-counterfeiting and anti-attack capabilities. Only when the environmental data is authentic and the efficacy meets the standards can a correct hash token be generated. This renders attacks that simply copy the Jelling code ineffective, achieving dual verification of authenticity and efficacy. Attached Figure Description

[0032] Figure 1 This is a flowchart of the disinfectant efficacy testing method based on Jelling codes of the present invention;

[0033] Figure 2 This is a comparison chart of the efficacy monitoring effects of existing technologies and the present invention;

[0034] Figure 3 This is a schematic diagram illustrating the correlation analysis between environmental stress factors and valence decay in an embodiment of the present invention. Detailed Implementation

[0035] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0036] Specific implementation of the disinfectant efficacy testing method based on Jelling codes:

[0037] like Figure 1 As shown, the disinfectant efficacy testing method based on the Jelling code includes the following steps:

[0038] S1. In response to the scanning operation of the Jelin code on the disinfectant packaging, the Jelin code is parsed to obtain the initial factory fingerprint of the product, and cloud logistics data is retrieved according to the Jelin code. The data is then spliced ​​with the terminal local storage data according to the time axis to form a full-link environmental monitoring sequence including temperature and humidity.

[0039] In this embodiment, to achieve accurate assessment of the physicochemical state of the disinfectant, it is necessary to reconstruct the complete environmental history of the product from its manufacturing date to the present moment using technical means. This process begins with the user scanning the Jelin code on the disinfectant packaging using a smart terminal device such as a smart atomizer with an integrated scanning module. In response to this scan, the system parses the unique identification information contained in the Jelin code and establishes a connection with the cloud server to retrieve the initial manufacturing fingerprint data for that batch of products. This initial manufacturing fingerprint data specifically includes the initial manufacturing potency in milligrams per liter, the production timestamp, and the chemical stability constant for that specific formulation.

[0040] Furthermore, based on the parsed Jelling code ID, the system initiates a data request to the enterprise's cloud logistics platform, retrieving historical environmental records uploaded by the cold chain transport vehicle or warehouse node corresponding to that ID. These records are collected and uploaded in real time by the vehicle's GPS and temperature and humidity recorder. Simultaneously, the smart terminal device reads historical temperature and humidity logs about its current environment from its own storage. The system logically concatenates the aforementioned logistics environment data from the cloud with the environmental data stored locally on the terminal according to a unified timeline, and uses a linear interpolation algorithm to complete any missing parts that may occur during data transmission, thereby constructing a full-link environmental monitoring sequence that includes temperature and humidity elements. The full-link environmental monitoring sequence consists of data tuples for multiple time segments, each containing the average temperature, average relative humidity, and duration of the corresponding time segment.

[0041] S2. Based on the full-link environmental monitoring sequence, the environmental pressure acceleration coefficient corresponding to each time segment is calculated using a nonlinear dynamic model. The environmental pressure acceleration coefficient is used to characterize the aging rate under the current environment relative to the standard environment.

[0042] In this embodiment, to address the shortcomings of traditional linear decay models that rely solely on storage time to estimate aging and fail to objectively reflect the nonlinear impact of environmental fluctuations on chemical properties, this invention constructs a dimensionless quantitative index, namely the environmental pressure acceleration coefficient. This coefficient, based on physicochemical principles, fully considers the thermodynamic effect of temperature increases exponentially influencing molecular thermal motion and collision frequency, as well as the kinetic effect of increased humidity leading to increased permeation pressure in packaging materials and accelerated external moisture intrusion.

[0043] In this embodiment, the formula for calculating the environmental pressure acceleration coefficient is as follows:

[0044]

[0045] The first part of the formula is the temperature influence factor, where, Indicates the first Environmental pressure acceleration coefficient within a time segment For the first The average Celsius temperature of each time segment is converted to the thermodynamic absolute temperature scale Kelvin by adding 273.15. The standard laboratory storage temperature is usually set at 25 degrees Celsius, and it is also converted to an absolute temperature scale as the normalized reference denominator. The temperature sensitivity index, which is determined in the laboratory and, for example, is 3.0, is used to describe the degree to which the chemical reaction rate changes nonlinearly with temperature, reflecting the exponential accelerating effect of temperature on the reaction rate as revealed by the Arrhenius equation.

[0046] The second part of the formula is the humidity influence factor, where, For the first Average relative humidity over a time period; This serves as a humidity normalization reference constant, for example, set to 20%, to define the initial baseline for the influence of humidity. This is the humidity penetration weighting coefficient, for example, a value of 0.5, used to adjust the weight of humidity in the overall model. This part uses the natural logarithm function to illustrate the physical process that as humidity increases, the penetration of moisture into packaging materials gradually approaches saturation.

[0047] To help you understand the formula more intuitively, a specific calculation example is provided below.

[0048] Assuming in the first Monitoring data from various time segments show that the current environment is characterized by high temperature and high humidity, with an average temperature of [temperature value missing]. Average relative humidity The preset system parameters are as follows: standard laboratory storage temperature. Temperature sensitivity index Humidity normalized reference constant Humidity penetration weighting coefficient .

[0049] Substituting the above parameters into the formula yields:

[0050] The temperature influence factor is: ;

[0051] The humidity-related factors are: ;

[0052] The environmental pressure acceleration factor is: .

[0053] The calculation results show that under this specific high temperature and high humidity environment, the chemical aging rate of the disinfectant is approximately 1.99 times that under standard laboratory conditions. By constructing an environmental pressure acceleration coefficient, this embodiment uses a power function to explain the thermodynamic effect of temperature and a logarithmic function to explain the osmotic saturation effect of humidity. This allows for precise quantification of the accelerating effect of nonlinear environmental factors on the aging of the disinfectant, objectively reflecting the true physical relationship between environmental pressure and chemical decay.

[0054] S3. Based on the initial factory fingerprint and the environmental pressure acceleration coefficient, calculate the cumulative loss of the disinfectant throughout the entire lifecycle, and then determine the theoretical remaining potency at the current moment.

[0055] In this embodiment, given that the chemical failure process of a disinfectant is essentially a cumulative damage process dependent on environmental history, its current residual potency does not depend solely on physical storage time, but rather on the integral sum of the chemical bond breakdown caused by environmental pressure at all past moments. Therefore, the system combines the environmental pressure acceleration coefficients for each discrete time segment calculated in step S2 with their corresponding time lengths, and calculates the equivalent chemical aging time through a weighted summation. Subsequently, based on first-order reaction kinetics, the system substitutes this equivalent chemical aging time into an exponential decay model, thereby achieving accurate prediction of the residual amount of the active ingredient at the current moment.

[0056] The specific calculation formula is as follows:

[0057] ;

[0058] in, This is the currently predicted concentration of the remaining effective ingredient, and this value is the core basis for determining whether the disinfectant has become ineffective.

[0059] This indicates the total number of time segments contained in the end-to-end environmental monitoring sequence;

[0060] The initial concentration obtained from the initial factory fingerprint analysis represents the standard active ingredient content of the product at the time of factory shipment.

[0061] The natural decay rate constant under standard conditions is used to describe the inherent chemical instability of the disinfectant under no additional environmental pressure.

[0062] For the first The duration of a time segment, that is, the physical time of exposure under specific environmental conditions;

[0063] As an equivalent aging time integral, this term is used to convert the physical duration of all time segments into an equivalent chemical aging time under a standard environment by summing the physical duration under environmental pressure weights. This achieves accurate quantification of the cumulative chemical loss under complex environmental history.

[0064] To further clarify the calculation process of residual valence and its advantages over traditional methods, the following is a specific numerical calculation example based on the environmental pressure acceleration coefficient calculated in step S2:

[0065] Set the initial concentration obtained from the initial factory fingerprint analysis. Natural decay rate constant Using the result calculated in step S2, namely the environmental pressure acceleration coefficient... The value is approximately 1.99, and the duration of the time segment is within this high temperature and high humidity environment. It lasts for 10 hours.

[0066] The equivalent aging time for this time segment is: The result indicates that, under the aggravating effects of high temperature and high humidity, 10 hours of physical decay is equivalent to a standard aging process of 19.9 hours in terms of chemical degradation.

[0067] To simplify the explanation and visually demonstrate the impact of a single time segment, it is assumed that no other losses occurred before this time segment. The system substitutes the above equivalent aging time into the formula to obtain:

[0068] = .

[0069] If we use the linear decay model in existing technology, that is, ignore the additive effect of environmental pressure and only calculate based on a physical duration of 10 hours, the calculated residual valence should be: = The comparison revealed that the adverse environmental factors resulted in an additional loss of approximately 9.7 mg / L, a significant difference that could not be identified in traditional static validation.

[0070] In this way, by calculating the cumulative loss and residual potency through integration, the complex and ever-changing environmental process is transformed into a unified equivalent chemical aging time. This allows for the accurate assessment of the actual residual active ingredients of the product after experiencing various environmental fluctuations, providing a scientific basis for subsequent decision-making.

[0071] S4. Compare the theoretical remaining valence with the preset minimum effective threshold. If the theoretical remaining valence is greater than or equal to the minimum effective threshold, then combine the Jelling code and the theoretical remaining valence to generate a dynamic verification token, and perform bidirectional hash verification with the cloud to unlock the usage permission.

[0072] In this embodiment, the system presets a minimum effective threshold, which is the product of the initial factory potency and a preset potency safety factor. The potency safety factor characterizes the minimum concentration percentage required for the disinfectant to maintain its sterilizing activity. In this embodiment, the potency safety factor ranges from 80% to 90%. The system compares the theoretical remaining potency calculated in step S3 with the minimum effective threshold. If the theoretical remaining potency is less than the minimum effective threshold, the system determines that the disinfectant has failed, displays a red warning message on the device screen, and generates a lock command to forcibly lock the device's spray function, thereby preventing the use of the failed disinfectant. If the theoretical remaining potency is greater than or equal to the minimum effective threshold, the system determines that the efficacy meets the standard and generates a dynamic verification token based on the current data.

[0073] The generation of dynamic verification tokens follows a specific hash operation logic, and the generation formula is as follows:

[0074]

[0075] in, This indicates a dynamic verification token. Represents the hash operation function. This represents a unique identifier for the Jelling code. This represents a string conversion function. This indicates the floor function. The + indicates the theoretical residual valence, and the + indicates a string concatenation operation.

[0076] The following is a specific example to illustrate this:

[0077] Assuming the unique identifier of the Jelling code is the character sequence ABC12345, the calculated... mg / L, then The system then appends the valence string to the unique Jelling code identifier, forming the input string ABC1234598030 used for hash calculation. The system performs a SHA-256 hash operation on this input string, and the generated hash value is the dynamic verification token.

[0078] After generating a dynamic verification token, the device uploads the token along with its unique JELIN code identifier to the cloud server. The cloud server uses synchronously uploaded end-to-end environmental monitoring sequence data to run an environmental stress calculation and valence evaluation algorithm identical to that of the terminal device. It calculates the cloud valence and the corresponding cloud token, and compares it with the dynamic verification token uploaded by the device. Only when the valence calculated by the cloud and the valence calculated by the device are completely identical—that is, when the generated hash values ​​collide and match successfully—will the cloud server send a verification pass command to the terminal, unlocking the device's access.

[0079] Through the aforementioned dynamic threshold determination and hash verification feedback mechanism, this invention not only achieves intelligent control of drug efficacy but also transforms the efficacy calculation results into secure credentials. This approach establishes a deep binding between physical state and digital identity, preventing attackers from generating legitimate verification tokens without being able to forge complete and authentic environmental monitoring data. This significantly enhances the system's security and the credibility of anti-counterfeiting and traceability.

[0080] The following combination Figure 2 and Figure 3 The technical solution and technical effects of the present invention will be further explained.

[0081] Figure 2 This figure illustrates a comparison of disinfectant potency changes over a 20-day storage period. The dashed line represents the estimated value from existing technologies, which shows only a linear, slight decay over time; the solid line represents the dynamic calculation value of this invention, reflecting the actual decay caused by environmental fluctuations. Between the eighth and twelfth days, a sudden change in high temperature and humidity occurred. At this time, the dynamic calculation curve of this invention showed a sharp downward trend, and around the ninth day, it cut off from above and crossed the safe use standard line. This intersection visually indicates that the potency fell below the standard due to the sudden environmental change, strongly demonstrating that this invention can keenly detect drastic changes in chemical properties, thereby promptly preventing the use of expired products.

[0082] Figure 3A dual-axis overlay display method was used to further analyze the intrinsic relationship between environmental pressure and potency decay. The filled area in the background represents the environmental pressure index, while the foreground curve represents the cumulative loss of the drug solution. Before the pressure peak appears, the loss increases relatively slowly; when the pressure peak corresponding to the high temperature and humidity environment appears, the cumulative loss increases sharply and shows a step-like rise; as the peak ends, the loss rate returns to a gradual level. This figure vividly illustrates how environmental pressure is transformed into instantaneous and drastic loss through an integral formula, verifying that the scheme has extremely high sensitivity to occasional extreme environments.

[0083] While various embodiments of the invention have been shown and described in this specification, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Many modifications, alterations, and alternatives will occur to those skilled in the art without departing from the spirit and essence of the invention.

Claims

1. A disinfectant efficacy testing method based on Jelling codes, characterized in that, Includes the following steps: In response to scanning the Jelin code on the disinfectant packaging, the Jelin code is parsed to obtain the product's initial factory fingerprint, and cloud logistics data is retrieved based on the Jelin code. This data is then spliced ​​together with the terminal's locally stored data along a timeline to form a full-link environmental monitoring sequence that includes temperature and humidity. Based on the full-link environmental monitoring sequence, the environmental pressure acceleration coefficient corresponding to each time segment is calculated using a nonlinear dynamic model, including: , For the first Environmental pressure acceleration coefficient within a time segment , The first Average temperature in Celsius and average relative humidity for a given time period Standard laboratory storage temperature, This is a temperature sensitivity index. This is the humidity normalization reference constant. Humidity penetration weighting coefficient; Environmental pressure acceleration coefficient is used to characterize the rate of aging under the current environment relative to the standard environment. Based on the initial factory fingerprint and environmental pressure acceleration factor, the cumulative loss of the disinfectant throughout the entire lifecycle is calculated, thereby determining the theoretical remaining potency at the current moment, including: , This represents the currently predicted concentration of the remaining active ingredient. This refers to the total number of time segments contained in the end-to-end environmental monitoring sequence. The initial concentration is obtained from the initial factory fingerprint analysis. The natural decay rate constant under standard conditions. For the first The duration of each time segment, Represents the integral of equivalent aging time; The theoretical residual valence is compared with the preset minimum effective threshold. If the theoretical residual valence is greater than or equal to the minimum effective threshold, a dynamic verification token is generated by combining the Jelling code and the theoretical residual valence, and then a two-way hash verification is performed with the cloud to unlock the usage permission.

2. The disinfectant efficacy testing method based on Jelling codes according to claim 1, characterized in that, The initial factory fingerprint includes the initial factory valence, production timestamp, and chemical stability constant.

3. The disinfectant efficacy testing method based on Jelling codes according to claim 1, characterized in that, Missing values ​​in the full-link environmental monitoring sequence are filled in by linear interpolation. The full-link environmental monitoring sequence contains data tuples for multiple time segments, and each data tuple contains the average temperature, average relative humidity and duration of the corresponding time segment.

4. The disinfectant efficacy testing method based on Jelling codes according to claim 2, characterized in that, After comparing the theoretical residual potency with the preset minimum effective threshold, the method further includes: if the theoretical residual potency is less than the minimum effective threshold, determining that the disinfectant has failed and locking the device's functionality.

5. The disinfectant efficacy testing method based on Jelling codes according to claim 4, characterized in that, The minimum effective threshold is the product of the initial factory potency and the preset potency safety factor, whereby the potency safety factor is used to characterize the minimum concentration percentage required for the disinfectant to maintain its sterilization activity.

6. The disinfectant efficacy testing method based on Jelling codes according to claim 5, characterized in that, The range of the valence safety factor is 80% to 90%.

7. The disinfectant efficacy testing method based on Jelling codes according to claim 1, characterized in that, The generation of the dynamic verification token is based on the following formula: in, This indicates a dynamic verification token. Represents the hash operation function. This represents a unique identifier for the Jelling code. This represents a string conversion function. This indicates the floor function. The + indicates the theoretical residual valence, and the + indicates a string concatenation operation.

8. The disinfectant efficacy testing method based on Jelling codes according to claim 1, characterized in that, The bidirectional hash verification with the cloud includes: The dynamic verification token and the unique identifier of the Jelin code are uploaded to the cloud server. The cloud server uses the synchronously uploaded end-to-end environmental monitoring sequence data to run the same algorithm as the terminal device to calculate the cloud valence and cloud token. The cloud token is compared with the dynamic verification token. If they match, a verification pass command is issued.

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