A product quality excellent grade digital announcement method, system and device

Abstract

The application discloses a product quality excellent grade digital announcement method, system and equipment, relates to the product quality evaluation technical field, and the method comprises the following steps: obtaining detection data of at least three independent production batches of the same type of product, and pre-processing the detection data; the detection data covers all key quality indicators defined in the corresponding national standards of the product and detection values corresponding to all the key quality indicators; based on the pre-processed monitoring data and the national standard limit value corresponding to the key quality indicators, the product quality excellent index QEI is calculated by using a self-contained static model; based on the product quality excellent index, the product quality excellent grade is divided; and the product quality excellent grade and the product quality excellent index QEI are announced digitally, so that the product quality grade evaluation and digital announcement can be carried out, and the degree that the product is better than the national standard is objectively quantified.

Description

Technical Field

[0001] This invention relates to the field of product quality evaluation technology, and more specifically to a method, system, and equipment for digitally announcing the superior quality level of a product. Background Technology

[0002] Currently, product quality information has become a key factor influencing consumer decisions. In the digital market, consumers urgently need objective, comparable, and credible quality credentials, especially authoritative benchmarks that demonstrate whether a product is not only "qualified" but also "consistently superior to national standards" in core indicators.

[0003] However, existing technical solutions are insufficient to meet this requirement, mainly due to the following two limitations:

[0004] 1. Traditional methods of proof are failing. Relying on commercial awards, single test reports, or subjective recommendations from experts has inherent flaws such as inconsistent standards, opaque processes, and incomparable results, which are increasingly challenging public trust.

[0005] 2. Data-driven evaluation schemes suffer from directional biases: One type of scheme focuses on "multi-dimensional compliance screening," introducing "basic indicators" and "advanced indicators" to conduct a more comprehensive review of market access or compliance. These "advanced indicators" are often new, additional items independent of national standards (such as environmental friendliness and human adaptability). The logic is based on whether a product "has" or "has passed" a more stringent requirement, without quantifying the extent to which it "superior" the product to the national benchmark on the same key indicator already specified in the national standard. This addresses the issue of "stricter market access," not "advantage measurement." Another type of scheme focuses on "internal process control," integrating "compliance" and "stability" evaluations. However, the evaluation benchmark is the company's internal process parameter target value or industry-specific specification limit. Its core purpose is to monitor and optimize the production process, making it an inward-looking management tool. Because its evaluation results lack direct, quantitative comparison with unified and publicly available national standards, they cannot be directly transformed into widely credible competitive advantage proof for the consumer market.

[0006] Therefore, how to conduct product quality grade evaluation and digital announcement, and objectively quantify the degree to which products are superior to national standards, is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0007] In view of the above problems, the present invention is proposed to provide a method, system and device for digitally announcing the superior quality level of a product in order to overcome or at least partially solve the above problems.

[0008] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for digitally announcing the superior quality level of a product. The method for evaluating the superior quality level of a product includes the following steps: Obtain test data from at least three independent production batches of the same product model, and preprocess the test data; the test data should cover all key quality indicators defined in the national standard corresponding to the product and the test values ​​corresponding to all key quality indicators.

[0009] Based on the preprocessed monitoring data and the national standard limits corresponding to key quality indicators, a self-contained static model is used to calculate the Quality Excellence Index (QEI) of the product.

[0010] Based on the product quality excellence index, product quality is classified into excellent levels.

[0011] The product quality grade and the product quality excellence index (QEI) will be digitally announced.

[0012] The preferred formula for a self-contained static model is: QEI=100×C×(1+S +D); Where QEI is the Product Quality Excellence Index, C is the Compliance Coefficient, and S... D represents the relative advantage degree and the stability coefficient.

[0013] Preferably, the compliance coefficient C is calculated through the following steps: Key quality indicators are divided into two categories: those that are better the larger they are and those that are better the smaller they are.

[0014] For the "the larger the better" type of indicators, all mandatory safety indicators specified in national standards are identified. If the test values ​​of all batches of mandatory safety indicators are greater than or equal to the national standard limit, then the indicator is deemed qualified; if the test value of any batch of mandatory safety indicators is less than the national standard limit, then the indicator is deemed unqualified.

[0015] For the "smaller the better" type of indicators, all mandatory safety indicators specified in national standards are identified. If the test values ​​of all batches of mandatory safety indicators are less than or equal to the national standard limit, the indicator is deemed qualified; if the test value of any batch of mandatory safety indicators is greater than the national standard limit, the indicator is deemed unqualified.

[0016] If any mandatory safety indicator fails to meet the requirements, the compliance coefficient C is 0.

[0017] If all mandatory safety indicators are qualified, then calculate the average value of the test results for each of the "greater is better" and "less is better" indicators (excluding mandatory safety indicators), and determine whether the average value of the test results for each "greater is better" and "less is better" indicator meets the national standard limit: For indicators that are considered "the larger the better", if the average value of the test results is greater than or equal to the national standard limit, the indicator is deemed qualified; if the average value of the test results is less than the national standard limit, the indicator is deemed unqualified. For indicators that are considered "the smaller the better", if the average value of the test results is less than or equal to the national standard limit, the indicator is deemed qualified; if the average value of the test results is greater than the national standard limit, the indicator is deemed unqualified.

[0018] The number of key quality indicators that meet the standards is statistically significant.

[0019] The compliance coefficient C is calculated based on the number of qualified key quality indicators and the total number of all key quality indicators. The formula is: C = number of qualified key quality indicators / total number of all key quality indicators.

[0020] Preferred, relative advantage S The calculation is performed using the following steps: Calculate the percentage by which the average value of each qualified key quality indicator is better than the national standard limit, and determine whether the percentage reaches or exceeds the first threshold; if so, it is recorded as an advantageous indicator; if not, it is recorded as a non-advantageous indicator.

[0021] Calculate the advantage value of the advantage indicator.

[0022] Calculate the relative advantage S based on the advantage value of the advantage indicator. The calculation formula is: S = Sum of the advantage values ​​of all advantage indicators / Number of all key quality indicators.

[0023] Preferably, the stability coefficient D is calculated through the following steps: Calculate the coefficient of variation (CV) of all batch test values ​​for each key quality indicator. The formula is: CV = standard deviation of all batch test values ​​ / average value of all batch test values.

[0024] Based on the coefficient of variation (CV), a scoring rule based on absolute thresholds is adopted to map the CV value of each key quality indicator to a stability score.

[0025] Based on the stability score, the stability coefficient D is calculated using the formula: D = [(sum of stability scores of all indicators) / (total number of key indicators)] - 1.

[0026] Preferably, the digital announcement method for product quality superiority rating also considers the compliance coefficient C and the relative advantage degree S. And the stability coefficient D is announced digitally.

[0027] Preferably, the advantage value of the advantage indicator is calculated as follows: Identify the type of advantage indicator.

[0028] For the dominant indicator in the "the larger the better" type, the formula for calculating the dominant value is: Dominance value = (average of the detected value - national standard limit) / national standard limit; For the dominant indicator in the "the smaller the better" type, the formula for calculating the dominant value is: Dominance value = (national standard limit - average of the detected value) / national standard limit.

[0029] Secondly, this invention provides a digital announcement system for product quality superiority ratings, comprising: The data access module is used to acquire test data from at least three independent production batches of the same product model and to preprocess the test data; the test data covers all key quality indicators defined in the national standards corresponding to the product and the test values ​​corresponding to all key quality indicators.

[0030] The QEI calculation engine module is used to calculate the product quality excellence index (QEI) based on preprocessed monitoring data and the national standard limits corresponding to key quality indicators, using a self-contained static model; it is also used to classify product quality excellence levels based on the product quality excellence index.

[0031] The announcement generation module is used to digitally announce the product quality grade and the product quality excellence index (QEI).

[0032] Preferably, the digital announcement system for product quality superiority rating also includes: The verification service module is used to provide verification services for each digital announcement.

[0033] Thirdly, the present invention provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a method for digitally announcing the superior quality level of a product, as described above.

[0034] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following: As can be seen from the above technical solution, compared with the prior art, the present invention discloses a method, system, and device for digitally announcing the superior quality level of products. The method involves acquiring test data from at least three independent production batches of the same model of product and preprocessing the test data to ensure the accuracy of the test data. The test data covers all key quality indicators defined in the national standards corresponding to the product and the test values ​​corresponding to all key quality indicators, laying the foundation for subsequent determination of the superior quality level of the product. Based on the preprocessed monitoring data and the national standard limits corresponding to the key quality indicators, a self-contained static model is used to calculate the product quality superiority index (QEI), without the need for external dynamic industry data or subjective weighting by experts, ensuring a fair starting point for the evaluation of new and old products and brands of different sizes. Based on the product quality superiority index, the product quality superiority level is divided, and the product quality superiority level and product quality superiority index (QEI) are digitally announced, realizing accurate and objective evaluation and digital announcement of product quality levels. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0036] Figure 1 The present invention provides a general flowchart of a method for digitally announcing the superior quality level of a product. Figure 2 The following is a sub-flowchart of the QEI calculation process in a method for digitally announcing the superior quality level of a product, provided in an embodiment of the present invention. Figure 3 This invention provides an architectural block diagram of a digital announcement system for product quality superiority rating. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] Existing technologies have failed to establish a complete technical solution that uses national standards as the sole and absolute benchmark, objectively quantifies the degree of "superiority," and digitizes the results for public verification and dissemination. This results in the market failing to effectively recognize and trust the genuine quality advantages of many high-quality products, creating the market pain point of "high quality but difficult to command a high price."

[0039] To address this, the present invention proposes a method for digitally announcing the superior quality level of products, which specifically includes the following steps: Obtain test data from at least three independent production batches of the same product model, and preprocess the test data; the test data should cover all key quality indicators defined in the national standard corresponding to the product and the test values ​​corresponding to all key quality indicators.

[0040] Based on the preprocessed monitoring data and the national standard limits corresponding to key quality indicators, a self-contained static model is used to calculate the Quality Excellence Index (QEI) of the product.

[0041] Based on the product quality excellence index, product quality is classified into excellent levels.

[0042] The product quality grade and the product quality excellence index (QEI) will be digitally announced.

[0043] The method for digitally announcing the superior quality grade of the product is described through specific embodiments.

[0044] Example 1: like Figure 1 As shown in the figure, this invention discloses a method for digitally announcing the superior quality level of a product. The method for evaluating the superior quality level of a product includes the following steps: Step 1: Obtain test data from at least three independent production batches of the same product model, and preprocess the test data; the test data should cover all key quality indicators defined in the national standard corresponding to the product and the test values ​​corresponding to all key quality indicators.

[0045] Specifically, the input source is structured test report data issued by a third-party testing organization with China Metrology Accreditation (CMA) or China National Accreditation Service for Conformity Assessment (CNAS) qualifications.

[0046] Specifically, the evaluation objects of this invention are applicable to all physical products with clear and current national standards, including but not limited to household appliances, food-related products (such as purified water under GB 17323 "Bottled Drinking Purified Water"), and daily consumer goods (such as textiles under GB 18401 "National Basic Safety Technical Specifications for Textile Products"). The core requirement is that the evaluation object must have corresponding national standards and key quality indicators.

[0047] The data requirements include testing data from at least three independent production batches of the same product model, covering all Key Quality Indicators (KQIs) defined in the national standard for the product. KQIs refer to test items that have a decisive impact on product performance, safety, reliability, and service life.

[0048] Data preprocessing includes: format validation, verifying whether the data file format (such as JSON, XML, CSV) conforms to predefined specifications; integrity checks, ensuring that the report includes necessary fields such as product identification, testing items, national standard number and limits, batch test values, and testing institution information; logical validation, verifying data logic, such as the testing date should be before the report issuance date, and the batch number should be unique; and data cleaning, handling possible outliers or missing values ​​(such as values ​​exceeding reasonable physical limits), and requiring resubmission if critical data is missing.

[0049] Step 2: Based on the preprocessed monitoring data and the national standard limits corresponding to the key quality indicators, calculate the Quality Excellence Index (QEI) using a self-contained static model.

[0050] Specifically, the formula for a self-contained static model is: QEI=100×C×(1+S +D); Where QEI is the Product Quality Excellence Index, C is the Compliance Coefficient, and S... The relative advantage is denoted by D, and the stability coefficient is denoted by σ. The calculation of all three coefficients is based on a direct comparison between the input detection data and the corresponding national standard limit, without the need for external industry data, thus achieving the self-containment and fairness of the algorithm.

[0051] Specifically, the compliance coefficient C is calculated through the following steps: Key quality indicators are divided into two categories: those that are better the larger they are and those that are better the smaller they are.

[0052] For the "the larger the better" type of indicators, all mandatory safety indicators specified in national standards are identified. If the test values ​​of all batches of mandatory safety indicators are greater than or equal to the national standard limit, then the indicator is deemed qualified; if the test value of any batch of mandatory safety indicators is less than the national standard limit, then the indicator is deemed unqualified.

[0053] For the "smaller the better" type of indicators, all mandatory safety indicators specified in national standards are identified. If the test values ​​of all batches of mandatory safety indicators are less than or equal to the national standard limit, the indicator is deemed qualified; if the test value of any batch of mandatory safety indicators is greater than the national standard limit, the indicator is deemed unqualified.

[0054] If any mandatory safety indicator fails to meet the requirements, the compliance coefficient C will be 0, QEI will be 0, and the process will be terminated.

[0055] If all mandatory safety indicators are qualified, calculate the average value of the test values ​​for each of the "the bigger the better" and "the smaller the better" indicators other than the mandatory safety indicators, and determine whether the average value of the test values ​​for each of the "the bigger the better" and "the smaller the better" indicators meets the national standard limits.

[0056] For indicators that are considered "the larger the better", if the average value of the test results is greater than or equal to the national standard limit, the indicator is deemed qualified; if the average value of the test results is less than the national standard limit, the indicator is deemed unqualified. For indicators that are considered "the smaller the better", if the average value of the test results is less than or equal to the national standard limit, the indicator is deemed qualified; if the average value of the test results is greater than the national standard limit, the indicator is deemed unqualified.

[0057] The number of key quality indicators that meet the standards is statistically significant.

[0058] The compliance coefficient C is calculated based on the number of qualified key quality indicators and the total number of all key quality indicators. The formula is: C = number of qualified key quality indicators / total number of all key quality indicators.

[0059] Specifically, relative advantage S The calculation is performed using the following steps: Calculate the percentage by which the average measured value of each qualified key quality indicator is better than the national standard limit, and determine whether the percentage reaches or exceeds the first threshold; if yes, it is recorded as a superior indicator; if no, it is recorded as a non-superior indicator. Non-superior indicators are used in the calculation of S... Its advantage value is considered to be 0.

[0060] In this embodiment, the superior indicator refers to the indicator that stands out further on top of the qualified indicator.

[0061] In this embodiment, the first threshold is 5%. A key quality indicator is marked as an advantage indicator only when the average value of its test results is 5% or more better than the national standard limit.

[0062] The calculation of the advantage value of an advantage indicator involves: determining the type of advantage indicator; for advantage indicators in the "the larger the better" category (e.g., tensile strength, energy efficiency, effective ingredient content), the formula for calculating the advantage value is: Advantage value = (average measured value - national standard limit) / national standard limit. For example, if the national standard requires strength ≥ 100 MPa and the actual measured average is 120 MPa, then the advantage value = (120 - 100) / 100 = 0.20, indicating that the strength exceeds the national standard requirement by 20%; for advantage indicators in the "the smaller the better" category (e.g., harmful substance content, noise level, power consumption), the formula for calculating the advantage value is: Advantage value = (national standard limit - average measured value) / national standard limit. For example, if the national standard requires lead content ≤ 1.0 mg / kg and the actual measured average is 0.7 mg / kg, then the advantage value = (1.0 - 0.7) / 1.0 = 0.30, indicating that the lead content is 30% lower than the national standard limit, resulting in better safety.

[0063] In this embodiment, the calculation of the single-indicator advantage value can quantify the relative degree to which each advantageous indicator is superior to the national standard. The larger the advantage value, the greater the extent to which the indicator exceeds the national standard requirements, and the more significant the comparative advantage of the product in that dimension.

[0064] Although the physical meanings of the "bigger is better" and "smaller is better" indicators are opposite (one signifies "higher superiority," the other "lower superiority"), through the aforementioned symmetrical mathematical design, both are transformed into a non-negative advantage value. The larger this value, the higher the product's "superiority" relative to national benchmark requirements for that specific quality indicator. This lays the foundation for subsequent comprehensive calculations of the overall advantage S of indicators with different properties. It provides a unified mathematical foundation.

[0065] In this embodiment, to prevent the extreme advantage of a single indicator from excessively affecting the total score and to reflect the concept of quality balance, the upper limit of the advantage value of a single dominant indicator is set at 0.5 (i.e., better than the national standard by 50%). Any excess is calculated as 0.5.

[0066] Calculate the relative advantage S based on the advantage value of the advantage indicator. The calculation formula is: S = Sum of the advantage values ​​of all advantage indicators / Number of all key quality indicators.

[0067] Specifically, the stability coefficient D is calculated through the following steps: Calculate the coefficient of variation (CV) of all batch test values ​​for each key quality indicator to measure the variability between batches. The formula is: CV = standard deviation of all batch test values ​​ / average of all batch test values. Based on the coefficient of variation (CV), a scoring rule based on absolute thresholds is adopted to map the CV value of each key quality indicator to a stability score.

[0068] As Figure 2 shown, the scoring rule reflects the objectivity and consistency of the "stability" evaluation: If CV ≤ 0.02, the score = 1.0 (very small fluctuation, excellent stability).

[0069] If 0.02 < CV ≤ 0.05, the score = 0.8 (small fluctuation, good stability).

[0070] If 0.05 < CV ≤ 0.10, the score = 0.5 (acceptable fluctuation, average stability).

[0071] If CV > 0.10, the score = 0.0 (excessive fluctuation, poor stability).

[0072] Based on the stability scores, the stability coefficient D is calculated with the following formula: D = [(sum of stability scores of all indicators) / (total number of key indicators)] - 1.

[0073] In the calculation formula of the above stability coefficient D, subtracting "1" is because in the main formula (1+S +D) of QEI, a basic value "1" is already included, where D represents the net additional score or deduction in the stability dimension. When all indicators are excellent (average score = 1), D = 0, meaning there is no additional score or deduction for stability; when the stability is lower than excellent, D is a negative value.

[0074] Step 3: Based on the product quality excellence index, divide the product quality excellence grades.

[0075] Specifically, after the QEI value is calculated (theoretically ranges from 0 to 100, actually limited by the upper limit of advantage values and the possibility that D is negative), it is compared with preset fixed thresholds to automatically divide the excellence grades: Five-star excellence: QEI ≥ 90.

[0076] Four-star excellence: 80 ≤ QEI < 90.

[0077] Three-star excellence: 70 ≤ QEI < 80.

[0078] If QEI < 70 or there is a safety veto, the excellence grade shall not be granted.

[0079] Step 4: Digitally announce the product quality excellence grade and the product quality excellence index QEI.

[0080] Specifically, the digital announcement method for product quality excellence grade also digitally announces the compliance coefficient C, the relative advantage S and the stability coefficient D.

[0081] This embodiment relates to a method for digitally announcing product quality grades. It establishes an objective benchmark model and creates an automated quality index calculation model based entirely on current national standards and objective third-party testing data, ensuring the objectivity and authority of the evaluation. It achieves fair static calculation by designing a self-contained static algorithm. The evaluation process relies solely on a direct comparison between the product's own testing data and national standards, without requiring external dynamic industry data or subjective expert weighting, ensuring a fair starting point for evaluation of both new and old products, and brands of varying sizes. It quantifies the degree of "superiority to national standards": the core lies in defining and calculating the "relative advantage," precisely quantifying the extent to which key product indicators exceed national benchmarks, rather than simply judging "whether it is qualified." It generates a credible digital announcement—a publicly accessible, real-time verifiable, structured, and machine-readable digital announcement that replaces traditional static certificates, facilitating efficient dissemination, verification, and integration on the internet and various systems.

[0082] Example 2: like Figure 3 As shown, based on the same inventive concept, this embodiment of the invention also provides a digital announcement system for product quality superiority levels. The digital announcement system for product quality superiority levels includes: The data access module is used to acquire test data from at least three independent production batches of the same product model and to preprocess the test data; the test data covers all key quality indicators defined in the national standards corresponding to the product and the test values ​​corresponding to all key quality indicators.

[0083] The data access module provides a standard RESTful API interface or web service port for testing institutions or enterprises to automatically push structured testing report data. A built-in data preprocessing submodule (including format, integrity, and logical validation) ensures the quality of input data. The data access module automatically transmits the preprocessed clean data to the QEI computing engine module in the form of internal messages or database records.

[0084] The QEI calculation engine module is used to calculate the product quality excellence index (QEI) based on preprocessed monitoring data and the national standard limits corresponding to key quality indicators, using a self-contained static model; it is also used to classify product quality excellence levels based on the product quality excellence index.

[0085] Specifically, in this embodiment, the QEI calculation engine module is the core processing unit of this system, and it has built-in the aforementioned QEI algorithm model and rule base (such as national standard limits, indicator types, security indicator identifiers, and threshold parameters). After receiving data from the data access module, the QEI calculation engine module automatically triggers the calculation process; during the calculation process, it queries the specific national standard information from the standard library management submodule; after the calculation is completed, it outputs the QEI results, the coefficients of each sub-item, and the level information to the announcement generation module.

[0086] The announcement generation module is used to digitally announce the product quality grade and the product quality excellence index (QEI).

[0087] Specifically, the announcement generation module is used to synthesize announcement content, receive QEI calculation results, extract basic product information from input data, and synthesize a complete announcement data object; it is also used to automatically serialize the announcement data object into JSON-LD or JSON format, containing all structured fields for easy machine reading and integration with third-party systems; it is also used to automatically generate HTML format announcement detail pages using a template engine, displaying QEI scores, levels, comparison charts of advantageous indicators, verification QR codes, etc., in a human-readable manner; it is also used to generate a unique QR code for each announcement, with the encoded content being the unique access URL for that announcement; and it is also used to associate and store the generated announcement data (JSON format), HTML page path, QR code image, etc., in the announcement database and create an index.

[0088] The verification service module is used to provide verification services for each digital announcement.

[0089] Specifically, the verification service module provides a public API interface (such as GET / v1 / announcement / {id}) to receive the announcement ID or the ID parsed from a QR code, query the database and return the latest announcement status and core data (JSON format); it also provides a unique public URL for each announcement, allowing any user to view the complete digital announcement page through a browser, thus achieving transparent verification.

[0090] Example 3: Taking a certain model of rice cooker covered by GB 4706.1-2005 "Safety of household and similar electrical appliances - Part 1: General requirements" as an example, the entire process of QEI calculation is explained in detail: 1. Data Input Testing organization: A home appliance testing center with CMA and CNAS qualifications.

[0091] Test data: Test data of three independent production batches of this rice cooker (batch numbers: 20240501, 20240502, 20240503) covering 10 key quality indicators stipulated by national standards (including 3 mandatory safety indicators: electrical strength, grounding resistance, and temperature rise).

[0092] 2. Data Preprocessing After format verification, integrity check, logical verification, and data cleaning, the data was confirmed to have no outliers or missing values ​​and to meet the system input requirements.

[0093] 3. QEI Calculation Compliance coefficient C: Among the 10 key indicators, all batches of 3 safety indicators are qualified, the average values of the remaining 7 indicators all meet the national standard limits, and the number of qualified indicators is 10, therefore C=10 / 10=1.0.

[0094] Relative advantage degree S : Identification of advantage indicators: The measured average value of heating efficiency (of "the larger the better" type, national standard limit ≥75%) is 82%, 82%≥75%×1.05=78.75%; the measured average value of heat preservation energy consumption (of "the smaller the better" type, national standard limit ≤1.2W / h) is 1.0W / h, 1.0W / h≤1.2×0.95=1.14W / h, thus these two items are advantage indicators.

[0095] Advantage value of single indicator: Advantage value of heating efficiency=(82-75) / 75≈0.093; advantage value of heat preservation energy consumption=(1.2-1.0) / 1.2≈0.167, neither exceeds the upper limit of 0.5.

[0096] S =(0.093+0.167) / 10=0.026.

[0097] Stability coefficient D: Calculation of coefficient of variation: The CV values of all 10 indicators are ≤0.03, among which 6 indicators have CV≤0.02 (score 1.0), and 4 indicators have 0.02<CV≤0.05 (score 0.8).

[0098] Sum of stability scores=6×1.0+4×0.8=6+3.2=9.2.

[0099] D=(9.2 / 10)-1=0.92-1=-0.08.

[0100] QEI calculation: QEI=100×1.0×(1+0.026-0.08)=100×0.946=94.6.

[0101] 4. Grade Determination QEI=94.6≥90, which is determined as five-star high quality.

[0102] 5. Announcement Generation The system generates JSON format structured data and an HTML visualization page containing information such as the QEI score of the electric rice cooker, five-star identifier, comparison chart of advantage indicators, and verification QR code, stores them in the announcement database and opens a public verification channel.

[0103] This embodiment has the following technical effects and advantages: 1. Objective and impartial: Based entirely on objective testing data and publicly available algorithms, eliminating any subjective human intervention, the evaluation results are highly credible.

[0104] 2. Strong scientific basis: The model integrates three core dimensions of quality evaluation: "compliance", "comparative advantage" and "production consistency (stability)" to comprehensively reflect the true quality level of the product.

[0105] 3. Easy to implement: The "self-contained" static model does not rely on external dynamic industry databases, reducing system construction and maintenance costs and making it easy to promote and apply in different industries.

[0106] 4. High transparency: The algorithm rules, data sources, and calculation process (through examples) are made public, and the results can be traced and verified in real time through a unique ID or QR code, establishing trust among multiple parties.

[0107] 5. Strong anti-counterfeiting features: The digital announcement is bound to a unique ID, QR code and official verification platform, making it extremely difficult to forge and effectively avoiding the risk of counterfeiting.

[0108] 6. Good guidance: The evaluation criteria clearly guide enterprises not only to "meet national standards" but also to "stablely and significantly outperform national standards in multiple key indicators", thus helping to upgrade the overall quality of the industry.

[0109] Example 4: Based on the same inventive concept, this embodiment of the invention also provides a computer device including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a method for digitally announcing the superior quality level of a product as described in Embodiment 1.

[0110] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0111] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for digitally announcing the superior quality grade of a product, characterized in that, Specifically, the following steps are included: Obtain test data from at least three independent production batches of the same product model, and preprocess the test data; the test data covers all key quality indicators defined in the national standard corresponding to the product and the test values ​​corresponding to all key quality indicators; Based on the preprocessed monitoring data and the national standard limits corresponding to the key quality indicators, a self-contained static model is used to calculate the product quality excellence index (QEI). Based on the aforementioned product quality excellence index, product quality excellence levels are classified. The product quality grade and product quality index (QEI) will be digitally announced.

2. The method for digitally announcing the superior quality grade of products according to claim 1, characterized in that, The formula for the self-contained static model is: QEI=100×C×(1+S +D); Where QEI is the Product Quality Excellence Index, C is the Compliance Coefficient, and S... D represents the relative advantage degree and the stability coefficient.

3. The method for digitally announcing the superior quality grade of products according to claim 2, characterized in that, The compliance coefficient C is calculated through the following steps: The key quality indicators are divided into two categories: those that are better the larger they are and those that are better the smaller they are. The mandatory safety indicators specified in the national standards for the "the larger the better" type of indicators are determined. If the test values ​​of the mandatory safety indicators for all batches are greater than or equal to the national standard limit, the indicator is deemed qualified; if the test value of the mandatory safety indicator for any batch is less than the national standard limit, the indicator is deemed unqualified. The mandatory safety indicators specified in all national standards within the "smaller the better" category are identified. If the test values ​​of all batches of the mandatory safety indicators are less than or equal to the national standard limit, the indicator is deemed qualified; if the test value of any batch of the mandatory safety indicators is greater than the national standard limit, the indicator is deemed unqualified. If any of the mandatory safety indicators mentioned above are not met, the compliance coefficient C is 0; If all the mandatory safety indicators are qualified, then calculate the average value of the test values ​​for each of the "greater is better" and "smaller is better" indicators other than the mandatory safety indicators, and determine whether the average value of the test values ​​for each of the "greater is better" and "smaller is better" indicators meets the national standard limits: For indicators that are considered "the larger the better", if the average value of the test results is greater than or equal to the national standard limit, the indicator is deemed qualified; if the average value of the test results is less than the national standard limit, the indicator is deemed unqualified. For indicators that are considered "the smaller the better", if the average value of the test results is less than or equal to the national standard limit, the indicator is deemed qualified; if the average value of the test results is greater than the national standard limit, the indicator is deemed unqualified. Count the number of key quality indicators that meet the standards; The compliance coefficient C is calculated based on the number of qualified key quality indicators and the total number of key quality indicators. The calculation formula is: C = number of qualified key quality indicators / total number of key quality indicators.

4. The method for digitally announcing the superior quality grade of products according to claim 3, characterized in that, The relative dominance S The calculation is performed using the following steps: Calculate the percentage by which the average value of each qualified key quality indicator is better than the national standard limit, and determine whether the percentage reaches or exceeds a first threshold; if yes, it is recorded as an advantageous indicator; if no, it is recorded as a non-advantageous indicator. Calculate the advantage value of the aforementioned advantage index; The relative advantage S is calculated based on the advantage value of the aforementioned advantage index. The calculation formula is: S = Sum of the advantage values ​​of all advantage indicators / Number of all key quality indicators.

5. The method for digitally announcing the superior quality grade of products according to claim 2, characterized in that, The stability coefficient D is calculated through the following steps: Calculate the coefficient of variation (CV) of all batch test values ​​for each of the key quality indicators. The formula is: CV = Standard deviation of all batch test values ​​ / Average value of all batch test values. Based on the coefficient of variation (CV), a scoring rule based on an absolute threshold is used to map the CV value of each key quality indicator to a stability score. Based on the stability score, the stability coefficient D is calculated using the formula: D = [(sum of stability scores for all indicators) / (total number of key indicators)] - 1.

6. The method for digitally announcing the superior quality grade of products according to claim 2, characterized in that, The method for digitally announcing the superior quality level of products also includes the compliance coefficient C and the relative advantage degree S. And the stability coefficient D is announced digitally.

7. The method for digitally announcing the superior quality grade of products according to claim 4, characterized in that, The calculation of the advantage value of the advantage indicator is specifically as follows: Determine the type of the advantage indicator; For the dominant indicators in the "the larger the better" type of indicators, the formula for calculating the dominant value is: dominant value = (average value of the test results - national standard limit) / national standard limit; for the dominant indicators in the "the smaller the better" type of indicators, the formula for calculating the dominant value is: dominant value = (national standard limit - average value of the test results) / national standard limit.

8. A digital announcement system for product quality superiority rating, characterized in that, The product quality premium level digital announcement system includes: The data access module is used to acquire test data from at least three independent production batches of the same model of product and to preprocess the test data; the test data covers all key quality indicators defined in the national standard corresponding to the product and the test values ​​corresponding to all key quality indicators; The QEI calculation engine module is used to calculate the product quality excellence index (QEI) based on preprocessed monitoring data and the national standard limits corresponding to the key quality indicators using a self-contained static model; it is also used to classify the product quality excellence level based on the product quality excellence index. The announcement generation module is used to digitally announce the product quality grade and product quality index (QEI).

9. The product quality premium grade digital announcement system according to claim 8, characterized in that, The digital announcement system for the superior product quality level also includes: The verification service module is used to provide verification services for each digital announcement.

10. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement a method for digitally announcing the superior quality grade of a product according to any one of claims 1-7.

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