Quality inspection method and device, computing device, and storage medium

Abstract

Embodiments of the present specification provide a quality inspection method and device, a computing device and a storage medium, wherein the quality inspection method comprises: determining a settlement period, and acquiring transaction data and quality inspection data of a target material in the settlement period; clustering the transaction data according to time, determining at least one aggregated transaction data, and clustering the quality inspection data according to time, determining at least one aggregated quality inspection data; determining at least one summary quality inspection index corresponding to the aggregated transaction data based on the aggregated transaction data and the corresponding aggregated quality inspection data; and determining at least one target quality inspection index in the settlement period based on the at least one summary quality inspection index corresponding to each aggregated transaction data, wherein the at least one target quality inspection index is used to adjust the price of the corresponding target material. The method in the present specification can settle by period, improve settlement efficiency, and obtain a target quality inspection index by comprehensively considering all quality inspection indexes, thereby reducing the influence of abnormal values in the settlement period on overall data.

Description

Technical Field

[0001] The embodiments in this specification relate to the field of data processing technology, and in particular to a quality inspection method, apparatus, computing device, and storage medium. Background Technology

[0002] In the trading of chemical raw materials or other materials, in order to ensure the quality of the materials, it is necessary to conduct quality inspections and adjust the prices of the materials based on the inspection results.

[0003] For example, in coal trading, to ensure the reasonableness of coal prices, quality inspection is required, and prices are adjusted based on the inspection results. Currently, for coal transport vehicles, settlement is done for each truckload, and each settlement requires calculating the quality inspection results. This settlement process is overly complex and impractical. Alternatively, the trading parties may agree on a quality inspection index and corresponding standards for a specific time period, with all vehicles trading according to the estimated index during that period. This does not accurately reflect the most accurate quality indicators for that period. The inability to obtain the most truthful quality indicator information is unfair to both parties in the transaction.

[0004] Therefore, there is an urgent need to provide a solution to the above problems. Summary of the Invention

[0005] In view of this, embodiments of this specification provide a quality inspection method. One or more embodiments of this specification also relate to a quality inspection device, a computing device, a computer-readable storage medium, and a computer program, to address the technical deficiencies existing in the prior art.

[0006] According to a first aspect of the embodiments of this specification, a quality inspection method is provided, comprising:

[0007] Determine the settlement period and obtain the transaction data and quality inspection data of the target materials within the settlement period;

[0008] The transaction data is clustered according to time to determine at least one aggregated transaction data, and the quality inspection data is clustered according to time to determine at least one aggregated quality inspection data.

[0009] Based on the aggregated transaction data and the corresponding aggregated quality inspection data, at least one summary quality inspection indicator corresponding to the aggregated transaction data is determined.

[0010] Based on at least one aggregated quality inspection indicator corresponding to each aggregated transaction data, at least one target quality inspection indicator is determined within the settlement period, wherein the at least one target quality inspection indicator is used to adjust the price of the corresponding target material.

[0011] In one embodiment of this specification, the transaction data includes transaction time and corresponding transaction value, and the quality inspection data includes quality inspection time and at least one corresponding quality inspection indicator; the step of clustering the quality inspection data according to time to determine at least one aggregated quality inspection data includes:

[0012] Based on the transaction time and the quality inspection time, determine the valid quality inspection data from the quality inspection data;

[0013] The valid quality inspection data are grouped according to the quality inspection time to obtain at least one set of valid quality inspection data, wherein the set of valid quality inspection data includes quality inspection indicators corresponding to the same quality inspection time.

[0014] The quality inspection indicators in the valid quality inspection data of the target group are aggregated to obtain the corresponding aggregated quality inspection data. The valid quality inspection data of the target group can be any group of valid quality inspection data. The aggregated quality inspection data includes the aggregated quality inspection time and at least one corresponding aggregated quality inspection indicator.

[0015] In one embodiment of this specification, clustering the transaction data according to time to determine at least one aggregated transaction data includes:

[0016] The transaction data is grouped according to the transaction time to obtain at least one set of transaction data, wherein the set of transaction data includes transaction values ​​corresponding to the same transaction time;

[0017] The transaction values ​​in the target group transaction data are aggregated to obtain the corresponding aggregated transaction data. The target group transaction data is any set of transaction data, and the aggregated transaction data includes the aggregated transaction time and the corresponding aggregated transaction value.

[0018] In one embodiment of this specification, determining at least one aggregated quality inspection indicator corresponding to the aggregated transaction data based on the aggregated transaction data and the corresponding aggregated quality inspection data includes:

[0019] Based on the aggregated transaction data, determine the total transaction value within the settlement period;

[0020] Obtain the first aggregated transaction data from the aggregated transaction data, and determine the first aggregated quality inspection indicator corresponding to the first aggregated transaction data;

[0021] Based on the total transaction value during the period, the first aggregated transaction data, and the first aggregated quality inspection indicator, at least one summary quality inspection indicator corresponding to the first aggregated transaction data is determined.

[0022] In one embodiment of this specification, determining the first aggregated quality inspection indicator corresponding to the first aggregated transaction data includes:

[0023] Determine the first aggregated transaction time corresponding to the first aggregated transaction time, wherein the first aggregated transaction time is the target transaction time included in the first aggregated transaction data;

[0024] Determine at least one first aggregation quality inspection indicator corresponding to the first aggregation quality inspection time.

[0025] In one embodiment of this specification, determining at least one summary quality inspection indicator corresponding to the aggregated transaction data based on the total transaction value during the period, the first aggregated transaction data, and the first aggregated quality inspection indicator includes:

[0026] The index coefficient is determined based on the ratio of the first aggregated transaction value to the total transaction value during the period;

[0027] At least one summary quality inspection indicator corresponding to the first aggregated transaction data is determined based on the product of at least one first aggregated quality inspection indicator and the indicator coefficient, wherein the first aggregated transaction value is the aggregated transaction value included in the first aggregated transaction data.

[0028] In one embodiment of this specification, at least one aggregated quality inspection indicator corresponding to one of the aggregated transaction data belongs to different quality inspection dimensions. Determining at least one target quality inspection indicator within the settlement period based on the at least one aggregated quality inspection indicator corresponding to each aggregated transaction data includes:

[0029] Based on the aggregated quality inspection indicators of each aggregated transaction data under the target quality inspection dimension, the target quality inspection indicators under the target quality inspection dimension within the settlement period are determined, wherein the target quality inspection dimension refers to any one of the quality inspection dimensions.

[0030] According to a second aspect of the embodiments of this specification, a quality inspection device is provided, comprising:

[0031] The data acquisition module is configured to determine the settlement period and acquire the transaction data and quality inspection data of the target material within the settlement period;

[0032] The clustering module is configured to cluster the transaction data according to time to determine at least one aggregated transaction data, and to cluster the quality inspection data according to time to determine at least one aggregated quality inspection data;

[0033] The summary quality inspection indicator calculation module is configured to determine at least one summary quality inspection indicator corresponding to the aggregated transaction data based on the aggregated transaction data and the corresponding aggregated quality inspection data.

[0034] The target quality inspection index calculation module is configured to determine at least one target quality inspection index within the settlement period based on at least one aggregated quality inspection index corresponding to each aggregated transaction data, wherein the at least one target quality inspection index is used to adjust the price of the corresponding material.

[0035] According to a third aspect of the embodiments of this specification, a computing device is provided, comprising:

[0036] Memory and processor;

[0037] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the above-described quality inspection method.

[0038] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided that stores computer-executable instructions, which, when executed by a processor, implement the steps of the quality inspection method described above.

[0039] One embodiment of this specification divides the settlement period and acquires quality inspection data and transaction data within that period. In cases where some quality inspection data is excessively high or low within the settlement period, the system can cluster the transaction and quality inspection data by time, comprehensively calculating all data within the settlement period. This prevents individual settlement of abnormal data from impacting the overall stability of the data. Based on aggregated transaction data and corresponding aggregated quality inspection data, at least one summary quality inspection indicator corresponding to the aggregated transaction data is determined. The target quality inspection indicator for the settlement period is then determined based on this at least one summary quality inspection value. This allows for the determination of the final target quality inspection indicator by combining actual transaction data, avoiding the impact of untraded data on actual transactions. This calculation process, while reflecting the true condition of the materials, automatically completes the calculation and settlement of quality inspection indicators by collecting all quality inspection and transaction data within the settlement period, making the settlement process more convenient for users. Attached Figure Description

[0040] Figure 1 This is a flowchart of a quality inspection method provided in one embodiment of this specification;

[0041] Figure 2 This is a flowchart illustrating the processing procedure of a quality inspection method applied in a coal trading scenario, provided by another embodiment of this specification.

[0042] Figure 3 This is a schematic diagram of the structure of a quality inspection device provided in another embodiment of this specification;

[0043] Figure 4 This is a structural block diagram of a computing device provided in another embodiment of this specification. Detailed Implementation

[0044] Many specific details are set forth in the following description to provide a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar extensions without departing from the spirit of this specification. Therefore, this specification is not limited to the specific implementations disclosed below.

[0045] The terminology used in one or more embodiments of this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of this specification. The singular forms “a,” “described,” and “the” as used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0046] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this specification, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0047] In material trading scenarios, quality inspection is necessary to ensure material quality, and the price is adjusted based on the inspection results. For example, in a coal trading scenario, a customer purchases coal from a coal mine, which is then transported by truck to the customer's own site. The price of the coal is determined by its quality indicators, such as lower calorific value and sulfur content.

[0048] There are generally two settlement methods between customers and coal mines for traded coal. One is settlement per truckload, which requires calculating the quality inspection results each time and then determining the final price based on those results. This method is too complicated and impractical. The other method is for customers and coal mines to agree on the qualified quality inspection indicators for different quality inspection criteria within a certain period. In this way, all coal transported by vehicles within the agreed period is priced and settled according to the agreed qualified quality inspection indicators. However, the qualified quality inspection indicators estimated by both parties in this method do not accurately reflect the actual situation within that period, which is unfair to both parties.

[0049] Therefore, this specification provides a quality inspection method, and also relates to a quality inspection device, a computing device, and a computer-readable storage medium, which will be described in detail in the following embodiments.

[0050] See Figure 1 , Figure 1 A flowchart of a quality inspection method according to an embodiment of this specification is shown, which specifically includes the following steps.

[0051] Step 102: Determine the settlement period and obtain the transaction data and quality inspection data of the target material within the settlement period.

[0052] Specifically, target materials refer to materials for which payment needs to be settled. The settlement cycle refers to the period during which both parties in a transaction settle payment for the traded materials. At the end of each settlement cycle, all materials transported by vehicles within that cycle are settled uniformly. Settlement cycles can be set according to actual needs, such as one week, one month, or two months. Transaction data refers to relevant information corresponding to the materials actually traded within the settlement cycle, while quality inspection data refers to relevant information corresponding to the materials actually inspected.

[0053] Therefore, in order to facilitate settlement, it is necessary to divide the settlement cycle and conduct settlement once in each cycle. This can effectively reduce the complexity of settlement. According to the settlement cycle, transaction data and valid data in each intermediate period can be obtained, which is convenient for subsequent calculation of quality inspection data in the settlement cycle.

[0054] Step 104: Cluster the transaction data according to time to determine at least one aggregated transaction data, and cluster the quality inspection data according to time to determine at least one aggregated quality inspection data.

[0055] Specifically, since each settlement cycle contains multiple different preset time periods, the length of which can be set according to actual needs, in order to facilitate calculation, the transaction data and quality inspection data in different preset time periods need to be clustered according to time. That is, the transaction data is clustered according to time to obtain at least one aggregated transaction data corresponding to each preset time period in the settlement cycle, and the quality inspection data is clustered according to time to obtain at least one aggregated quality inspection data corresponding to each preset time period.

[0056] Furthermore, the transaction data includes transaction time and corresponding transaction value, and the quality inspection data includes quality inspection time and at least one corresponding quality inspection indicator; the step of clustering the quality inspection data according to time to determine at least one aggregated quality inspection data includes: determining valid quality inspection data from the quality inspection data based on the transaction time and the quality inspection time; grouping the valid quality inspection data according to the quality inspection time to obtain at least one group of valid quality inspection data, wherein the group of valid quality inspection data includes quality inspection indicators corresponding to the same quality inspection time; aggregating the quality inspection indicators in the target group of valid quality inspection data to obtain corresponding aggregated quality inspection data, wherein the target group of valid quality inspection data is any group of valid quality inspection data, and the aggregated quality inspection data includes aggregated quality inspection time and at least one corresponding aggregated quality inspection indicator.

[0057] Specifically, transaction data includes transaction time and corresponding transaction value. Transaction time refers to the actual time when the material is traded, and transaction value can be the weight of the material at the time of the actual transaction. Quality inspection data includes quality inspection time and at least one corresponding quality inspection indicator. Quality inspection time refers to the actual time when the material is inspected, and at least one quality inspection indicator refers to the quality inspection result obtained after each inspection. Each point in time corresponds to at least one quality inspection indicator. Each quality inspection indicator belongs to a different dimension and is used to reflect different aspects of the material's quality.

[0058] Based on this, the effective time for both trading and quality inspection is determined by the intersection of trading time and quality inspection time. Valid quality inspection data corresponding to the effective time is then selected from the quality inspection data. The valid quality inspection data is grouped according to the quality inspection time, with data within the same preset time period grouped together. Multiple preset time periods within the settlement cycle are also grouped to obtain at least one group of valid quality inspection data. Therefore, any group of valid quality inspection data includes the quality inspection time and corresponding quality inspection indicators within the same preset time period. The quality inspection indicators in the target group of valid quality inspection data are then aggregated to obtain the corresponding aggregated quality inspection data.

[0059] For example, in one embodiment of this specification, the transaction data and quality inspection data are shown in the following table:

[0060] Table 1

[0061]

[0062] Table 2

[0063]

[0064]

[0065] The period from January 1st to January 7th, XXXX, is defined as a settlement cycle. Transaction data and quality inspection data for this settlement cycle are obtained. Based on the transaction and quality inspection times in Tables 1 and 2, the valid quality inspection data is determined as shown in the following table:

[0066] Table 3

[0067]

[0068] Based on the quality inspection time of the valid quality inspection data in Table 3, the valid quality inspection data is grouped. The preset time period is determined to be 0:00-24:00 every day. Valid quality inspection data that fall within the same day are grouped together. For example, in Table 3, 9:00 on January 1, XXXX and 14:00 on January 1, XXXX are grouped together, and 14:00 on January 4, XXXX and 15:00 on January 4, XXXX are grouped together. Other quality inspection data have different preset time periods, so they are grouped separately.

[0069] Each set of valid quality inspection data is aggregated to obtain the corresponding aggregated quality inspection index. That is, the average value of each dimension index is calculated within a day. The aggregation results are shown in the table below:

[0070] Table 4

[0071]

[0072]

[0073] The aggregated quality inspection data includes the aggregated quality inspection time and at least one corresponding aggregated quality inspection indicator. For example, the aggregated quality inspection time in Table 4 is January 1, XXXX, and the corresponding at least one aggregated quality inspection indicator is 19.50%, 59.50%, and 2.00%, respectively.

[0074] The embodiments in this specification determine the valid quality inspection data based on the quality inspection time and transaction time, which can avoid the impact of data that has not been actually traded on the calculation results. The quality inspection data is aggregated according to time to avoid the impact of abnormal data within the preset time period on the overall stability of the indicator.

[0075] Step 106: Based on the aggregated transaction data and the corresponding aggregated quality inspection data, determine at least one summary quality inspection indicator corresponding to the aggregated transaction data.

[0076] Specifically, since both aggregated transaction data and aggregated quality inspection data are aggregated according to time into transaction data and quality inspection data within the same preset time period, the correspondence between aggregated transaction data and aggregated time data can be relative in time.

[0077] Based on this, based on aggregated transaction data and corresponding aggregated quality inspection data, at least one summary indicator can be calculated for each preset time period corresponding to the aggregated transaction data, wherein each indicator in the at least one summary indicator belongs to a different dimension.

[0078] Furthermore, to avoid the impact of data that only undergoes quality inspection but has not actually resulted in transactions on the quality inspection results, it is necessary to aggregate the business data for subsequent calculations. The step of clustering the transaction data according to time to determine at least one aggregated transaction data includes: grouping the transaction data according to the transaction time to obtain at least one group of transaction data, wherein the group of transaction data includes transaction values ​​corresponding to the same transaction time; and aggregating the transaction values ​​in the target group of transaction data to obtain corresponding aggregated transaction data, wherein the target group of transaction data is any group of the transaction data, and the aggregated transaction data includes aggregated transaction time and corresponding aggregated transaction value.

[0079] Specifically, according to the aforementioned preset time period, transaction data with transaction times falling within the same preset time period are grouped into one group to obtain at least one group of transaction data. The transaction values ​​in the target group of transaction data are aggregated until all groups of transaction data are aggregated to obtain the corresponding aggregated transaction data. The target group of transaction data can be any group of transaction data.

[0080] Following the previous example, with the preset time period being 0:00-24:00 daily, based on the transaction times corresponding to the transaction data in Table 1, transaction times and corresponding transaction values ​​within the same day are grouped into a single group of transaction data. All transaction data are grouped in this manner, and the transaction values ​​within the target transaction group are aggregated to obtain the corresponding aggregated transaction data as shown in the table below:

[0081] Table 5

[0082]

[0083]

[0084] The embodiments in this specification group and aggregate transaction data to facilitate the subsequent calculation of at least one summary quality inspection indicator corresponding to a preset time period.

[0085] It should be noted that the embodiments in this specification do not limit the order in which the aggregated transaction data or the aggregated quality inspection data is determined. The aggregated quality inspection data may be calculated first and then the aggregated transaction data, or the aggregated transaction data may be calculated first and then the aggregated quality inspection data, or the calculations may be performed simultaneously.

[0086] Step 108: Based on at least one aggregated quality inspection indicator corresponding to each aggregated transaction data, determine at least one target quality inspection indicator within the settlement period, wherein the at least one target quality inspection indicator is used to adjust the price of the corresponding target material.

[0087] Specifically, each aggregated transaction data point corresponds to at least one summary indicator that can only represent the quality of materials within a pre-defined time period. If settlement is conducted according to a settlement cycle, at least one target quality inspection indicator must be determined within the settlement cycle based on at least one summary quality inspection indicator corresponding to each aggregated transaction data point. Each target quality inspection indicator belongs to a different dimension. The target quality inspection indicator is used to adjust the price of the corresponding target material. Using at least one target quality inspection indicator to represent the quality of all target materials within the cycle simplifies the settlement process while reflecting the true quality of materials within the settlement cycle.

[0088] Furthermore, determining at least one summary quality inspection indicator corresponding to the aggregated transaction data based on the aggregated transaction data and the corresponding aggregated quality inspection data includes: determining the total transaction value within the settlement period based on the aggregated transaction data; obtaining first aggregated transaction data from the aggregated transaction data and determining a first aggregated quality inspection indicator corresponding to the first aggregated transaction data; and determining at least one summary quality inspection indicator corresponding to the first aggregated transaction data based on the total transaction value within the period, the first aggregated transaction data, and the first aggregated quality inspection indicator.

[0089] Specifically, the total transaction value during the period is the sum of the aggregated transaction values ​​corresponding to each group of aggregated transaction data within the settlement period. The first aggregated transaction data refers to any single aggregated transaction data.

[0090] Based on this, the aggregated transaction values ​​corresponding to all aggregated transaction data within the settlement period are added together to obtain the total transaction value within the settlement period. The first aggregated transaction data in the aggregated transaction data is obtained, and the first aggregated quality inspection data corresponding to the first aggregated transaction data is determined. The correspondence here means that the aggregated transaction time in the first data transaction data corresponds to the aggregated quality inspection time in the first aggregated quality inspection data.

[0091] Based on the total transaction value, the first aggregated transaction data, and the first aggregated quality inspection indicators, determine at least one summary quality inspection indicator corresponding to the first aggregated transaction data.

[0092] The embodiments in this specification calculate the summary quality inspection index corresponding to the aggregated transaction data in each preset time period using the total transaction value within the period, the first aggregated transaction data, and the first aggregated quality inspection index. The summary quality inspection index represents the material quality in this time period, which can reduce the impact of outliers in the preset time period on the quality inspection index in the preset time period.

[0093] Furthermore, determining the first aggregated quality inspection indicator corresponding to the first aggregated transaction data includes: determining the first aggregated quality inspection time corresponding to the first aggregated transaction time, wherein the first aggregated transaction time is the target transaction time included in the first aggregated transaction data; and determining at least one first aggregated quality inspection indicator corresponding to the first aggregated quality inspection time.

[0094] Specifically, the first aggregated transaction data includes the first aggregated transaction time and the corresponding first aggregated transaction value. The first aggregated quality inspection indicators include the first aggregated quality inspection time and the first aggregated quality inspection indicators. The first aggregated quality inspection time corresponding to the first aggregated transaction time is determined. At least one first aggregated quality inspection indicator is determined based on the first aggregated quality inspection time. Each of the first aggregated quality inspection indicators belongs to a different quality inspection dimension.

[0095] In one embodiment of this specification, a first aggregation quality inspection time corresponding to the first aggregation transaction time is determined, that is, a first aggregation quality inspection time that is the same as the first aggregation transaction time is determined.

[0096] The embodiments in this specification determine the quality inspection indicators corresponding to the quality inspection data by establishing the correspondence between the aggregated transaction time and the aggregated quality inspection time, which facilitates the subsequent calculation and summarization of the quality inspection indicators.

[0097] Furthermore, determining at least one summary quality inspection indicator corresponding to the aggregated transaction data based on the total transaction value during the period, the first aggregated transaction data, and the first aggregated quality inspection indicator includes: determining an indicator coefficient based on the ratio of the first aggregated transaction value to the total transaction value during the period; and determining at least one summary quality inspection indicator corresponding to the first aggregated transaction data based on the product of at least one first aggregated quality inspection indicator and the indicator coefficient, wherein the first aggregated transaction value is the aggregated transaction value included in the first aggregated transaction data.

[0098] Specifically, the first aggregated transaction value refers to any single aggregated transaction value.

[0099] Based on this, the ratio of the first aggregated transaction value to the total transaction value during the period is used as the indicator coefficient. Since there is at least one first aggregated quality inspection indicator corresponding to the first aggregated quality inspection time, in order to calculate the summary indicator corresponding to the first aggregated transaction time or the first aggregated quality inspection time in combination with the actual business that occurred, it is necessary to multiply each first aggregated quality inspection indicator by the indicator coefficient. The resulting products belong to different quality inspection dimensions and can represent the quality status of materials in different dimensions within the preset time period. The product is used as the summary quality inspection indicator corresponding to the first aggregated transaction time or the first aggregated quality inspection time.

[0100] Following the previous example, based on the aggregated transaction data in Table 5, the total transaction value within the settlement period is determined to be 150 tons. The first aggregated transaction data is obtained as follows:

[0101] January 1, XXXX 33

[0102] The first aggregated quality inspection indicators corresponding to the first aggregated transaction data are as follows:

[0103] January 1, XXXX 19.50％ 59.50％ 2.00％

[0104] The first aggregated transaction date is January 1, XXXX, and the corresponding first aggregated quality inspection date is also January 1, XXXX. The first aggregated transaction value is 33, and the total transaction value during the period is 150. The ratio between the two is 0.22. Using 0.22 as the indicator coefficient, at least one summary quality inspection indicator corresponding to the first aggregated transaction date or the first aggregated quality inspection date is calculated as follows:

[0105] Summary of quality inspection indicators 1: 0.22 * 19.5% = 0.0429.

[0106] Summary of quality inspection index 2: 0.22 * 59.5% = 0.1309.

[0107] Summary of quality inspection indicators 3: 0.22 * 2% = 0.0044.

[0108] Similarly, at least one summary quality inspection indicator corresponding to other cluster transaction times or cluster quality inspection times is calculated in the same way, and the final results are shown in the table below:

[0109] Table 6

[0110]

[0111] Furthermore, at least one summary quality inspection indicator corresponding to one of the aggregated transaction data belongs to different quality inspection dimensions, that is, indicator 1, indicator 2, and indicator 3 in the table belong to different quality inspection dimensions. The step of determining at least one target quality inspection indicator within the settlement period based on at least one summary quality inspection indicator corresponding to each aggregated transaction data includes: determining the target quality inspection indicator under the target quality inspection dimension within the settlement period according to the summary quality inspection indicator of each aggregated transaction data under the target quality inspection dimension, wherein the target quality inspection dimension refers to any one of the quality inspection dimensions.

[0112] Specifically, in one embodiment of this specification, the average value of the aggregated quality inspection indicators is calculated based on the aggregated quality inspection indicators of each transaction data under the target quality inspection dimension, and the calculated result of the average value is used as the target quality inspection indicator for the settlement period under the target quality inspection dimension.

[0113] Following the previous example, based on the summarized quality inspection indicators for different quality inspection dimensions each day in Table 6, the specific process for calculating the target quality inspection indicators for different quality inspection dimensions within the settlement period is as follows:

[0114] The target quality inspection indicator 1 during the settlement period is: (0.0429+0.0378+0.0304+0.0288+0.0342) / 5=0.03482.

[0115] Target quality inspection indicator 2 within the settlement period: (0.1309+0.1309+0.0928+0.0968+0.1064) / 5=0.10698.

[0116] The target quality inspection indicator 3 during the settlement period is: (0.0044+0.0072+0.0064+0.0096+0.0038) / 5=0.10698.

[0117] In another embodiment of this specification, based on the aggregated quality inspection indicators of each transaction data under the target quality inspection dimension, the maximum and minimum values ​​of the aggregated quality inspection indicators are removed, the average value of the remaining aggregated quality inspection indicators is calculated, and the result of the average value calculation is used as the target quality inspection indicator of the settlement period under the target quality inspection dimension.

[0118] In another embodiment of this specification, the median value among the aggregated quality inspection indicators of each transaction data under the target quality inspection dimension is obtained as the target quality inspection indicator for the settlement period under the target quality inspection dimension.

[0119] The embodiments in this specification utilize target quality inspection indicators to represent the overall quality of materials within the settlement period, enabling settlement once per period and simplifying the settlement process. Furthermore, by comprehensively calculating the aggregated quality inspection indicators corresponding to each aggregated quality inspection time or aggregated transaction time, the target quality inspection indicators within the settlement period can be obtained, thus avoiding the impact of outliers in the settlement period on the stability of the overall data.

[0120] In another embodiment of this specification, valid transaction data can be filtered from the transaction data based on the valid time, and then the valid transaction data can be aggregated to obtain aggregated transaction data.

[0121] Following the previous example, based on the transaction data in Table 1 and the quality inspection data in Table 2, valid transaction data is selected. Valid transaction data refers to data on the target material that was both traded and inspected at the same time, including transaction time and transaction value. The specific selection results are shown in the table below:

[0122] Table 7

[0123]

[0124] The valid transaction data is grouped and aggregated, and the resulting aggregated transaction data is shown in the table below:

[0125] Table 8

[0126]

[0127] Based on the aggregated quality inspection data in Table 4 and the aggregated transaction data in Table 8, the total transaction value within the settlement period is determined to be 73 tons. The first aggregated transaction data is obtained as follows:

[0128] January 1, XXXX 21

[0129] The first aggregated quality inspection indicators corresponding to the first aggregated transaction data are as follows:

[0130] January 1, XXXX 19.50％ 59.50％ 2.00％

[0131] The first aggregated transaction date is January 1, XXXX, and the corresponding first aggregated quality inspection date is also January 1, XXXX. The first aggregated transaction value is 21, and the total transaction value during the period is 73. The ratio between the two is 0.29. Using 0.29 as the indicator coefficient, at least one summary quality inspection indicator corresponding to the first aggregated transaction date or the first aggregated quality inspection date is calculated as follows:

[0132] The total quality inspection index is 1: 0.29 * 19.5% = 0.05655.

[0133] Summary of quality inspection index 2: 0.29 * 59.5% = 0.17255.

[0134] Summary of quality inspection indicators 3: 0.29 * 2% = 0.0058.

[0135] Similarly, at least one summary quality inspection indicator corresponding to other aggregated transaction times or aggregated quality inspection times is calculated in the same way, and the final results are shown in the table below:

[0136] Table 9:

[0137]

[0138] Furthermore, based on the summarized quality inspection indicators for different quality inspection dimensions each day in Table 9, the specific process for calculating the target quality inspection indicators for different quality inspection dimensions within the settlement period is as follows:

[0139] The target quality inspection indicator 1 during the settlement period is: (0.05655+0.0441+0.0285+0.0378+0.027) / 5=0.03879.

[0140] The target quality inspection indicator 2 during the settlement period is: (0.17255+0.126+0.087+0.12705+0.084) / 5=0.11932.

[0141] The target quality inspection indicator 3 during the settlement period is: (0.0058+0.0084+0.006+0.0126+0.003) / 5=0.00716.

[0142] The calculated target quality inspection indicators are:

[0143]

[0144] The calculated target quality inspection indicators are compared with the indicators agreed upon by both parties in the contract, and the price of the target material is adjusted based on the comparison results.

[0145] The following is in conjunction with the appendix Figure 2 Taking the application of the quality inspection methods provided in this specification in a coal trading scenario as an example, the quality inspection methods will be further explained. Among them, Figure 2 The present specification shows a process flowchart of a quality inspection method according to an embodiment, which specifically includes the following steps.

[0146] Step 202: Determine the settlement period and obtain the transaction data and quality inspection data of the target coal within the settlement period.

[0147] Step 204: The transaction data includes the transaction time and the corresponding transaction value; the quality inspection data includes the quality inspection time and at least one corresponding quality inspection indicator. Based on the transaction time and the quality inspection time, valid quality inspection data is determined from the quality inspection data. The valid quality inspection data is grouped according to the quality inspection time to obtain at least one group of valid quality inspection data, wherein the group of valid quality inspection data includes quality inspection indicators corresponding to the same quality inspection time. The quality inspection indicators in the target group of valid quality inspection data are aggregated to obtain corresponding aggregated quality inspection data, wherein the target group of valid quality inspection data is any group of valid quality inspection data, and the aggregated quality inspection data includes aggregated quality inspection time and at least one corresponding aggregated quality inspection indicator.

[0148] Step 206: Group the transaction data according to the transaction time to obtain at least one group of transaction data, wherein the group of transaction data includes transaction values ​​corresponding to the same transaction time; aggregate the transaction values ​​in the target group of transaction data to obtain corresponding aggregated transaction data, wherein the target group of transaction data is any group of the transaction data, and the aggregated transaction data includes aggregated transaction time and corresponding aggregated transaction value.

[0149] Step 208: Based on the aggregated transaction data, determine the total transaction value within the settlement period; obtain the first aggregated transaction data from the aggregated transaction data, and determine the first aggregated quality inspection indicator corresponding to the first aggregated transaction data; based on the total transaction value within the period, the first aggregated transaction data, and the first aggregated quality inspection indicator, determine at least one summary quality inspection indicator corresponding to the first aggregated transaction data.

[0150] Step 210: Based on the aggregated quality inspection indicators of each aggregated transaction data under the target quality inspection dimension, determine the target quality inspection indicators under the target quality inspection dimension within the settlement period, wherein the target quality inspection dimension refers to any one of the quality inspection dimensions.

[0151] This specification's embodiments, by dividing settlement cycles and acquiring quality inspection and transaction data within those cycles, can cluster transaction and quality inspection data by time when excessively high or low quality inspection data appear within a settlement cycle. This allows for comprehensive calculation of all data within the settlement cycle, preventing isolated settlement of abnormal data and ensuring overall data stability. Based on aggregated transaction data and corresponding aggregated quality inspection data, at least one summary quality inspection indicator is determined for the aggregated transaction data. Based on this summary quality inspection indicator, a target quality inspection indicator for the settlement cycle is determined. This approach combines actual transaction data to determine the final target quality inspection indicator, avoiding the impact of untraded data on actual transactions. This calculation process, while reflecting the true situation of coal, automatically completes the settlement of quality inspection indicators by collecting all quality inspection and transaction data within the settlement cycle, making the settlement process more convenient for users.

[0152] Corresponding to the above method embodiments, this specification also provides embodiments of quality inspection devices. Figure 3 A schematic diagram of a quality inspection device according to one embodiment of this specification is shown. Figure 3 As shown, the device includes:

[0153] The data acquisition module 302 is configured to determine the settlement period and acquire the transaction data and quality inspection data of the target material within the settlement period;

[0154] Clustering module 304 is configured to cluster the transaction data according to time to determine at least one aggregated transaction data, and to cluster the quality inspection data according to time to determine at least one aggregated quality inspection data;

[0155] The summary quality inspection indicator calculation module 306 is configured to determine at least one summary quality inspection indicator corresponding to the aggregated transaction data based on the aggregated transaction data and the corresponding aggregated quality inspection data.

[0156] The target quality inspection index calculation module 308 is configured to determine at least one target quality inspection index within the settlement period based on at least one aggregated quality inspection index corresponding to each aggregated transaction data, wherein the at least one target quality inspection index is used to adjust the price of the corresponding material.

[0157] Optionally, the transaction data includes the transaction time and the corresponding transaction value, and the quality inspection data includes the quality inspection time and at least one corresponding quality inspection indicator; the clustering module includes:

[0158] The valid quality inspection data determination submodule is configured to determine valid quality inspection data from the quality inspection data based on the transaction time and the quality inspection time.

[0159] The grouping submodule is configured to group the valid quality inspection data according to the quality inspection time to obtain at least one set of valid quality inspection data, wherein the set of valid quality inspection data includes quality inspection indicators corresponding to the same quality inspection time.

[0160] The aggregation submodule is configured to aggregate quality inspection indicators in the valid quality inspection data of the target group to obtain the corresponding aggregated quality inspection data. The valid quality inspection data of the target group can be any set of valid quality inspection data, and the aggregated quality inspection data includes the aggregated quality inspection time and at least one corresponding aggregated quality inspection indicator.

[0161] Optionally, the clustering module includes:

[0162] The grouping submodule is configured to group the transaction data according to the transaction time to obtain at least one group of transaction data, wherein the group of transaction data includes transaction values ​​corresponding to the same transaction time;

[0163] The aggregation submodule is configured to aggregate transaction values ​​in the target group transaction data to obtain corresponding aggregated transaction data. The target group transaction data is any set of transaction data, and the aggregated transaction data includes the aggregated transaction time and the corresponding aggregated transaction value.

[0164] Optional, the summary quality inspection index calculation module includes:

[0165] The total transaction value calculation submodule is configured to determine the total transaction value within the settlement period based on the aggregated transaction data.

[0166] The first aggregated quality inspection index calculation submodule is configured to obtain the first aggregated transaction data in the aggregated transaction data and determine the first aggregated quality inspection index corresponding to the first aggregated transaction data.

[0167] The summary quality inspection indicator calculation submodule is configured to determine at least one summary quality inspection indicator corresponding to the first aggregated transaction data based on the total transaction value during the period, the first aggregated transaction data, and the first aggregated quality inspection indicator.

[0168] Optionally, the first aggregated quality inspection index calculation submodule includes:

[0169] The first aggregated quality inspection time calculation submodule is configured to determine the first aggregated quality inspection time corresponding to the first aggregated transaction time, wherein the first aggregated transaction time is the target transaction time included in the first aggregated transaction data;

[0170] Determine at least one first aggregation quality inspection indicator corresponding to the first aggregation quality inspection time.

[0171] Optionally, the summary quality inspection index calculation submodule includes:

[0172] The indicator coefficient calculation submodule is configured to determine the indicator coefficient based on the ratio of the first aggregated transaction value to the total transaction value during the period.

[0173] The result calculation submodule is configured to determine at least one summary quality inspection indicator corresponding to the first aggregated transaction data based on the product of at least one first aggregated quality inspection indicator and the indicator coefficient, wherein the first aggregated transaction value is the aggregated transaction value included in the first aggregated transaction data.

[0174] Optionally, at least one aggregated quality inspection indicator corresponding to one of the aggregated transaction data belongs to different quality inspection dimensions, and the target quality inspection indicator calculation module includes:

[0175] Based on the aggregated quality inspection indicators of each aggregated transaction data under the target quality inspection dimension, the target quality inspection indicators under the target quality inspection dimension within the settlement period are determined, wherein the target quality inspection dimension refers to any one of the quality inspection dimensions.

[0176] The above is a schematic diagram of a quality inspection device according to this embodiment. It should be noted that the technical solution of this quality inspection device and the technical solution of the above-described quality inspection method belong to the same concept. For details not described in detail in the technical solution of the quality inspection device, please refer to the description of the technical solution of the above-described quality inspection method.

[0177] Figure 4 A structural block diagram of a computing device 400 according to one embodiment of this specification is shown. The components of the computing device 400 include, but are not limited to, a memory 410 and a processor 420. The processor 420 is connected to the memory 410 via a bus 430, and a database 450 is used to store data.

[0178] The computing device 400 also includes an access device 440, which enables the computing device 400 to communicate via one or more networks 460. Examples of these networks include Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or combinations of communication networks such as the Internet. The access device 440 may include one or more of any type of wired or wireless network interface (e.g., a network interface card (NIC)), such as an IEEE 802.11 Wireless Local Area Network (WLAN) wireless interface, a Wi-MAX (Worldwide Interoperability for Microwave Access) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth interface, or a Near Field Communication (NFC) interface.

[0179] In one embodiment of this specification, the aforementioned components of the computing device 400 and Figure 4 Other components, not shown, can also be connected to each other, for example, via a bus. It should be understood that... Figure 4 The block diagram of the computing device shown is for illustrative purposes only and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0180] Computing device 400 can be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (e.g., smartphones), wearable computing devices (e.g., smartwatches, smart glasses, etc.) or other types of mobile devices, or stationary computing devices such as desktop computers or personal computers (PCs). Computing device 400 can also be a mobile or stationary server.

[0181] The processor 420 is used to execute the following computer-executable instructions, which, when executed by the processor, implement the steps of the above-mentioned quality inspection method.

[0182] The above is a schematic representation of a computing device according to this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the aforementioned quality inspection method belong to the same concept. Details not described in detail in the technical solution of the computing device can be found in the description of the technical solution of the aforementioned quality inspection method.

[0183] An embodiment of this specification also provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the above-described quality inspection method.

[0184] The above is an illustrative scheme of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium and the technical solution of the above-described quality inspection method belong to the same concept. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the above-described quality inspection method.

[0185] An embodiment of this specification also provides a computer program, wherein when the computer program is executed in a computer, it causes the computer to perform the steps of the above-described quality inspection method.

[0186] The above is an illustrative scheme of a computer program according to this embodiment. It should be noted that the technical solution of this computer program and the technical solution of the above-described quality inspection method belong to the same concept. For details not described in detail in the technical solution of the computer program, please refer to the description of the technical solution of the above-described quality inspection method.

[0187] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0188] The computer instructions include computer program code, which may be in the form of source code, object code, executable file, or certain intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium may be appropriately added or removed according to the requirements of patent practice. For example, in some regions, according to patent practice, computer-readable media may not include electrical carrier signals and telecommunication signals.

[0189] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments in this specification are not limited to the described order of actions, because according to the embodiments in this specification, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the embodiments in this specification.

[0190] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0191] The preferred embodiments disclosed above are merely illustrative of this specification. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the embodiments described herein. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the embodiments, thereby enabling those skilled in the art to better understand and utilize this specification. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A quality inspection method, characterized in that, Applications in coal trading scenarios include: Determine the settlement period and obtain the transaction data and quality inspection data of the target material within the settlement period. The target material is target coal, and the quality inspection data includes the quality inspection time and at least one corresponding quality inspection indicator. Each quality inspection indicator belongs to a different quality inspection dimension, and the quality inspection dimension includes at least the lower heating value and sulfur content. The transaction data is clustered according to time to determine at least one aggregated transaction data, and the quality inspection data is clustered according to time to determine at least one aggregated quality inspection data. The aggregated quality inspection data is determined based on the valid quality inspection data in the quality inspection data. The valid quality inspection data refers to the quality inspection data that has both been traded and inspected. Based on the aggregated transaction data and the corresponding aggregated quality inspection data, at least one summary quality inspection indicator corresponding to the aggregated transaction data is determined. Based on at least one aggregated quality inspection indicator corresponding to each aggregated transaction data, at least one target quality inspection indicator is determined within the settlement period, wherein the at least one target quality inspection indicator is used to adjust the price of the corresponding target material; The step of determining at least one summary quality inspection indicator corresponding to the aggregated transaction data based on the aggregated transaction data and the corresponding aggregated quality inspection data includes: determining the total transaction value within the settlement period based on the aggregated transaction data; obtaining first aggregated transaction data from the aggregated transaction data and determining the first aggregated quality inspection indicator corresponding to the first aggregated transaction data; determining at least one summary quality inspection indicator corresponding to the first aggregated transaction data based on the total transaction value within the period, the first aggregated transaction data, and the first aggregated quality inspection indicator; the step of determining at least one summary quality inspection indicator corresponding to the aggregated transaction data based on the total transaction value within the period, the first aggregated transaction data, and the first aggregated quality inspection indicator includes: determining the indicator coefficient based on the ratio of the first aggregated transaction value to the total transaction value within the period; and using the product of at least one first aggregated quality inspection indicator and the indicator coefficient, wherein each product belongs to a different quality inspection dimension, representing the quality status of materials in different dimensions within a preset time period, as the product as at least one summary quality inspection indicator corresponding to the first aggregated transaction data, wherein the first aggregated transaction value is any aggregated transaction value included in the first aggregated transaction data; At least one summary quality inspection indicator corresponding to each aggregated transaction data belongs to different quality inspection dimensions. The step of determining at least one target quality inspection indicator within the settlement period based on at least one summary quality inspection indicator corresponding to each aggregated transaction data includes: determining the target quality inspection indicator under the target quality inspection dimension within the settlement period according to the summary quality inspection indicator of each aggregated transaction data under the target quality inspection dimension, wherein the target quality inspection dimension refers to any one of the quality inspection dimensions.

2. The quality inspection method according to claim 1, characterized in that, The transaction data includes the transaction time and the corresponding transaction value; the quality inspection data includes the quality inspection time and at least one corresponding quality inspection indicator; the step of clustering the quality inspection data according to time to determine at least one aggregated quality inspection data includes: Based on the transaction time and the quality inspection time, determine the valid quality inspection data from the quality inspection data; The valid quality inspection data are grouped according to the quality inspection time to obtain at least one set of valid quality inspection data, wherein the set of valid quality inspection data includes quality inspection indicators corresponding to the same quality inspection time. The quality inspection indicators in the valid quality inspection data of the target group are aggregated to obtain the corresponding aggregated quality inspection data. The valid quality inspection data of the target group can be any group of valid quality inspection data. The aggregated quality inspection data includes the aggregated quality inspection time and at least one corresponding aggregated quality inspection indicator.

3. The quality inspection method according to claim 2, characterized in that, The step of clustering the transaction data according to time to determine at least one aggregated transaction data includes: The transaction data is grouped according to the transaction time to obtain at least one set of transaction data, wherein the set of transaction data includes transaction values ​​corresponding to the same transaction time; The transaction values ​​in the target group transaction data are aggregated to obtain the corresponding aggregated transaction data. The target group transaction data is any set of transaction data, and the aggregated transaction data includes the aggregated transaction time and the corresponding aggregated transaction value.

4. The quality inspection method according to claim 1, characterized in that, The step of determining the first aggregated quality inspection indicator corresponding to the first aggregated transaction data includes: Determine the first aggregated transaction time corresponding to the first aggregated transaction time, wherein the first aggregated transaction time is the target transaction time included in the first aggregated transaction data; Determine at least one first aggregation quality inspection indicator corresponding to the first aggregation quality inspection time.

5. A quality inspection device, characterized in that, Applications in coal trading scenarios include: The data acquisition module is configured to determine the settlement period and acquire the transaction data and quality inspection data of the target material within the settlement period. The target material is target coal. The quality inspection data includes the quality inspection time and at least one corresponding quality inspection indicator. Each quality inspection indicator belongs to a different quality inspection dimension. The quality inspection dimension includes at least the lower heating value and sulfur content. The clustering module is configured to cluster the transaction data according to time to determine at least one aggregated transaction data, and to cluster the quality inspection data according to time to determine at least one aggregated quality inspection data, wherein the aggregated quality inspection data is determined based on valid quality inspection data, which refers to quality inspection data that has both been traded and inspected. The summary quality inspection indicator calculation module is configured to determine at least one summary quality inspection indicator corresponding to the aggregated transaction data based on the aggregated transaction data and the corresponding aggregated quality inspection data. The target quality inspection index calculation module is configured to determine at least one target quality inspection index within the settlement period based on at least one aggregated quality inspection index corresponding to each aggregated transaction data, wherein the at least one target quality inspection index is used to adjust the price of the corresponding material. The summary quality inspection index calculation module is further configured to: determine the total transaction value within the settlement period based on the aggregated transaction data; obtain first aggregated transaction data from the aggregated transaction data and determine the first aggregated quality inspection index corresponding to the first aggregated transaction data; determine at least one summary quality inspection index corresponding to the first aggregated transaction data based on the total transaction value within the period, the first aggregated transaction data, and the first aggregated quality inspection index; the summary quality inspection index calculation submodule includes: an index coefficient calculation submodule configured to determine the index coefficient based on the ratio of the first aggregated transaction value to the total transaction value within the period; and a result calculation submodule configured to use the product of at least one first aggregated quality inspection index and the index coefficient, wherein each product belongs to a different quality inspection dimension, representing the quality status of materials in different dimensions within a preset time period, and use the product as at least one summary quality inspection index corresponding to the first aggregated transaction data, wherein the first aggregated transaction value is any aggregated transaction value included in the first aggregated transaction data; At least one summary quality inspection indicator corresponding to one of the aggregated transaction data belongs to different quality inspection dimensions; the target quality inspection indicator calculation module is further configured to determine the target quality inspection indicator under the target quality inspection dimension within the settlement period based on the summary quality inspection indicator of each aggregated transaction data under the target quality inspection dimension, wherein the target quality inspection dimension refers to any one of the quality inspection dimensions.

6. A computing device, characterized in that, include: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the quality inspection method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, It stores computer-executable instructions that, when executed by a processor, implement the steps of the quality inspection method according to any one of claims 1 to 4.

8. A computer program product, characterized in that, It includes computer instructions that, when executed by a processor, implement the steps of the quality inspection method according to any one of claims 1 to 4.

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