CN113806623A

CN113806623A - Standard data processing method, device, equipment and storage medium of target field

Info

Publication number: CN113806623A
Application number: CN202010536633.XA
Authority: CN
Inventors: 曹燕; 刘冰; 祝悫智; 税碧垣; 李莉; 张妮; 施宁; 徐葱葱; 马江涛
Original assignee: Petrochina Co Ltd
Current assignee: Petrochina Co Ltd
Priority date: 2020-06-12
Filing date: 2020-06-12
Publication date: 2021-12-17
Anticipated expiration: 2040-06-12
Also published as: CN113806623B

Abstract

The application provides a standard data processing method, a standard data processing device, standard data processing equipment and a standard data processing storage medium in the field of targets, and belongs to the technical field of computers. The embodiment of the application acquires the instruction according to the indication of the target region, automatically acquires the target standard data corresponding to the target region, automatically executes the acquisition step by a machine, does not need to manually distinguish the region, can reduce the labor cost, can automatically weigh multiple items of matching information of the target standard data subsequently, and determines whether the target region is suitable for the target region, does not need to be judged by professionals according to self experience, reduces the subjective factors of people, can improve the accuracy of the determined result by automatic analysis of the machine, and improves the processing efficiency of the standard data of the target region.

Description

Standard data processing method, device, equipment and storage medium of target field

Technical Field

The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a storage medium for processing standard data in a target field.

Background

Currently, standards for each field are generally set in the field, and the relevant data processing methods in the field need to comply with the standards in the field. For different regions, the criteria for the region may also be set by technicians in the different regions. However, some standards may have a certain applicability, and the standard may not only be applicable to one region, but also may be applicable to other regions by analyzing the feasibility of the application of the standard to other regions.

At present, a standard data processing method in a target field is usually achieved by manually analyzing whether a standard of the target field is consistent with a regional characteristic of a target region by an expert in the target field, and then obtaining a conclusion. In the method, the expert is used for judging manually, the expert is required to have sufficient understanding on the standard of the target field and the regional characteristics of the target region, and the obtained conclusion depends on the subjective judgment of the expert, so that the objectivity is insufficient, and errors are easy to occur, therefore, the processing method has low processing efficiency and poor accuracy.

Disclosure of Invention

In view of this, embodiments of the present application provide a method, an apparatus, a device, and a storage medium for processing standard data in a target field, which can improve processing efficiency and accuracy of a processing result.

In one aspect, a method for processing standard data in a target domain is provided, the method comprising:

receiving an instruction acquisition instruction of a target region;

responding to the instruction acquisition instruction, and acquiring target standard data corresponding to the target region in the standard data of the target field;

weighting the multiple items of matching information according to the standard of the target field and the multiple items of matching information of the target field in the target standard data and the weights of the multiple items of matching information to obtain target indication information, wherein the target indication information is used for indicating the applicability degree of the standard of the target field in the target field;

and displaying whether the target field is suitable for the target region or not according to the target indication information.

Optionally, each item of matching information in the multiple items of matching information corresponds to at least one sub-matching item;

the weighting the multiple items of matching information according to the standard of the target field and the multiple items of matching information of the target field in the target standard data and the weights of the multiple items of matching information to obtain target indication information includes:

extracting sub-matching information of at least one sub-matching item corresponding to each item of matching information and the weight of each sub-matching item from the target standard data;

weighting the sub-matching information of the at least one sub-matching item according to the weight of each sub-matching item to obtain each item of matching information;

and weighting the multiple items of matching information according to the weights of the multiple items of matching information to obtain target indication information.

Optionally, the weighting the multiple items of matching information according to the standard of the target field and the multiple items of matching information of the target field in the target standard data and the weights of the multiple items of matching information to obtain target indication information includes:

calling an indication acquisition model, inputting the target standard data into the indication acquisition model, extracting multiple items of matching information of the target field and the target region in the target standard data by the indication acquisition model, and weighting the multiple items of matching information according to the multiple items of matching information and corresponding weights to obtain target indication information.

acquiring target matching information in the target standard data, wherein the target matching information is used for indicating the risk of the standard of the target field applied to the target region;

and in response to the target matching information indicating that the standard of the target field is applied to the target region without risk, weighting the other multiple items of matching information according to the standard of the target field in the target standard data, the other multiple items of matching information of the target field and the weights of the other multiple items of matching information to obtain target indication information.

Optionally, the method further includes:

and determining that the target indication information is zero in response to the target matching information indicating that the standard of the target field is applied to the target region with risk.

Optionally, the method further includes:

performing differentiation inspection on each item of matching information in the target standard data according to the target standard data;

in response to that the difference value of the differentiation test is smaller than or equal to a target value, executing the step of weighting the multiple items of matching information according to the target field standard in the target standard data, the multiple items of matching information of the target field and the weights of the multiple items of matching information to obtain target indication information;

and responding to the fact that the difference value of any difference test is larger than the target numerical value, and displaying prompt information, wherein the prompt information is used for indicating that the matching information corresponding to the difference value cannot be used as the basis for acquiring the target indication information.

Optionally, the obtaining of the target standard data corresponding to the target region from the standard data of the target field includes:

acquiring standard index requirements of the target region;

and comparing the standard data of the target field with the standard index requirements of the target region, and determining the target standard data corresponding to the target region in the standard data of the target field, wherein the standard index requirements comprise at least one of risk requirements, policy requirements, technical content requirements, benefit requirements and environment requirements.

Optionally, the obtaining, in response to the instruction obtaining instruction, target standard data corresponding to the target region in standard data of a target field includes:

and responding to the identification information of the target region in the instruction acquisition instruction, and extracting target standard data corresponding to the identification information from the standard data of the target region.

Optionally, the computer device is any node device in a blockchain system;

the obtaining of the target standard data corresponding to the target region in the standard data of the target field in response to the instruction obtaining instruction includes:

in response to the instruction acquisition instruction, extracting data corresponding to the block identifier on a block chain of the block chain system as the target standard data according to the block identifier in the instruction acquisition instruction;

the method further comprises the following steps:

generating a block according to the target indication information and the target standard data;

adding the block to the blockchain in response to the consensus of the block through the blockchain system.

In one aspect, a standard data processing apparatus in a target domain is provided, where the apparatus includes a plurality of functional modules, and the functional modules are configured to execute a standard data processing method in the target domain.

In one aspect, a computer device is provided that includes one or more processors and one or more memories having stored therein at least one instruction that is loaded and executed by the one or more processors to implement an operation performed by a standard data processing method of the target domain.

In one aspect, a computer-readable storage medium having at least one instruction stored therein is provided, which is loaded and executed by a processor to implement operations performed by a standard data processing method of the target domain.

The embodiment of the application acquires the instruction according to the indication of the target region, automatically acquires the target standard data corresponding to the target region, automatically executes the acquisition step by a machine, does not need to manually distinguish the region, can reduce the labor cost, can automatically weigh multiple items of matching information of the target standard data subsequently, and determines whether the target region is suitable for the target region, does not need to be judged by professionals according to self experience, reduces the subjective factors of people, can improve the accuracy of the determined result by automatic analysis of the machine, and improves the processing efficiency of the standard data of the target region.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a flowchart of a standard data processing method in a target domain according to an embodiment of the present application;

FIG. 2 is a flowchart of a standard data processing method in a target domain according to an embodiment of the present application;

FIG. 3 is a diagram illustrating a standard data processing method in a target domain according to an embodiment of the present disclosure;

FIG. 4 is a diagram illustrating a standard data processing method in a target domain according to an embodiment of the present disclosure;

FIG. 5 is a schematic structural diagram of a standard data processing apparatus in a target domain according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a terminal according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of a server 700 according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

It should be noted that the embodiments described below are some embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In this application, the terms "first," "second," and the like are used for distinguishing between similar items and items having substantially the same function, and it should be understood that "first," "second," and "n" have no logical or temporal dependency, nor are they limited in number or order of execution.

The following explains the terms referred to in the present application.

The standard is based on the combined result of scientific technology and practical experience, is agreed by related aspects, is approved by a competent organization, and is issued in a specific form as a rule and basis for common compliance.

Applicability: the degree of adaptation of an object in a defined tissue environment, and the ability to maintain or improve its competitive position.

The standard internationalization applicability refers to the degree of adaptation of a standard to a country or region other than the country from which the standard is issued, and the evaluation of the standard internationalization applicability is a pre-evaluation before the standard internationalization implementation, and is different from the evaluation after the standard implementation including the evaluation of the standard implementation condition and the evaluation of the implementation effect.

The current international Chinese standards can be roughly divided into the following 6 types: the method comprises the steps of establishing international standards, adopting Chinese standards, realizing standard mutual recognition, establishing standards in a combined mode, referring to key technical indexes of the Chinese standards, and becoming a factual standard.

The international standard is established by leading (or leading) of the Chinese institution or enterprise. The method is applicable to the countries and the fields: the method is applicable to industries/fields in developed countries such as south africa, europe and the united states (such as the English and the French), which adopt international standards and have high standard collection rate.

The adopted Chinese standard is directly equivalent to other countries or modified by adopting the Chinese standard; the construction of the demonstration area and the production of related products use Chinese standards, and the national standards are equivalently adopted or mainly established. The method is applicable to the countries and the fields: middle asia, eastern union, africa, etc., such as mongol, hassakestan, turkestan, russian, etc. The method is suitable for the fields with national advantages such as agriculture, machinery, railways (high-speed rails), nuclear power and the like.

The standard mutual recognition is that the two sides mutually recognize the standards with consistency aiming at specific fields. The applicable country: france, uk, germany, russia, south africa, etc. The method is suitable for the fields of satellites, airplanes, nuclear power, household appliances and the like.

The united standard is a standard which is mainly established by Chinese technology or Chinese standard in a plurality of countries or organizations in the united field. The applicable country: developing countries such as russia, south africa, india, etc. The method is suitable for the fields of satellites, airplanes, nuclear power and the like.

The Chinese standard key technical indexes refer to the fact that the main technical content of the Chinese standard is quoted by the foreign standard, and the core technical indexes of the Chinese standard are quoted by the foreign standard. The applicable country: middle asia, eastern union, africa, etc., such as mongol, hassakestan, turkestan, russian, etc. The method is suitable for the fields with national advantages such as agriculture, machinery, railways (high-speed rails), nuclear power and the like.

The Chinese standard is used in purchasing and detecting products, parts or accessories. The applicable country: middle asia, eastern union, africa, etc., such as pakistan, russia, philippines, etc. The method is suitable for the fields with national advantages such as agriculture, machinery, railways (high-speed rails), nuclear power and the like.

Fig. 1 is a flowchart of a standard data processing method in a target domain, which is applied to a computer device and provided by an embodiment of the present application, and with reference to fig. 1, the method includes:

101. the computer device receives an indication acquisition instruction for a target zone.

102. And the computer equipment responds to the instruction acquisition instruction to acquire target standard data corresponding to the target region in the standard data of the target field.

103. The computer equipment weights the multiple items of matching information according to the standard of the target field, the multiple items of matching information of the target field and the weight of the multiple items of matching information in the target standard data to obtain target indication information, wherein the target indication information is used for indicating the applicability degree of the standard of the target field in the target field.

104. And the computer equipment displays whether the target field is suitable for the target region or not according to the target indication information.

The embodiment of the application acquires the instruction according to the indication of the target region, automatically acquires the target standard data corresponding to the target region, automatically executes the acquisition step by a machine, does not need to manually distinguish the region, can reduce the labor cost, can automatically weight a plurality of items of matching information of the target standard data subsequently, determines whether the target region is suitable for the target region or not, does not need to be judged by professionals according to self experience, reduces the subjective factors of people, is automatically analyzed by the machine, can improve the accuracy of the determined result, and improves the processing efficiency of the standard data in the target region.

should according to the multiple matching information of the standard and the target region of the target field in this target standard data, and the weight of this multiple matching information, weight this multiple matching information, obtain the target indicating information, include:

Optionally, the weighting the multiple items of matching information according to the standard of the target field in the target standard data and the multiple items of matching information of the target field, and the weights of the multiple items of matching information to obtain the target indication information includes:

and calling an indication acquisition model, inputting the target standard data into the indication acquisition model, extracting multiple items of matching information of the standard of the target field and the target region in the target standard data by the indication acquisition model, and weighting the multiple items of matching information according to the multiple items of matching information and corresponding weights to obtain target indication information.

Optionally, the method further includes:

and determining that the target indication information is zero in response to the target matching information indicating that the target domain standard is applied to the target region with risk.

Optionally, the method further includes:

according to the target standard data, performing differentiation inspection on each item of matching information in the target standard data;

in response to that the difference value of the differentiation test is smaller than or equal to a target value, executing a step of weighting the multiple items of matching information according to the standard of the target field in the target standard data, the multiple items of matching information of the target field and the weight of the multiple items of matching information to obtain target indication information;

and responding to the fact that the difference value of any differentiation test is larger than the target value, and displaying prompt information, wherein the prompt information is used for indicating that the matching information corresponding to the difference value cannot be used as the acquisition basis of the target indication information.

Optionally, the obtaining of the target standard data corresponding to the target region in the standard data of the target field includes:

acquiring the standard index requirement of the target region;

Optionally, the obtaining, in response to the instruction obtaining instruction, target standard data corresponding to the target region in the standard data of the target field includes:

and responding to the instruction to acquire the identification information of the target region in the instruction, and extracting the target standard data corresponding to the identification information from the standard data of the target region.

Optionally, the computer device is any node device in the blockchain system;

the obtaining of the target standard data corresponding to the target region from the standard data of the target field in response to the instruction obtaining instruction includes:

responding to the instruction for obtaining the instruction, and extracting data corresponding to the block identifier on the block chain of the block chain system as the target standard data according to the block identifier in the instruction for obtaining the instruction;

the method further comprises the following steps:

the block is added to the blockchain in response to a consensus that the block passed through the blockchain system.

Fig. 2 is a flowchart of a standard data processing method in a target domain according to an embodiment of the present application, and referring to fig. 2, the method may include the following steps.

200. The computer device obtains standard data of the target field.

In this embodiment, the computer device may match the target region with the standard data of the target region, and determine whether the standard of the target region is applicable to the target region.

The target field may be any field, for example, the field of oil and gas pipelines. The target region may be any country or any region, and the target region are not specifically limited in the embodiment of the present application. For example, the standard in the target field may be a chinese standard in the field of oil and gas pipelines, and the target region may be a certain asian country, and accordingly, the method provided in the embodiment of the present application may be used to analyze the applicability of the chinese standard in overseas countries.

The standard data of the target field may include a standard of the target field, or evaluation information of a relevant technician on the standard of the target field, or the standard data of the target field may include a standard of the target field and the evaluation information, and of course, the standard data of the target field may also include other data, for example, regional information in which the standard of the target field has been generalized, which is not limited in this embodiment of the application.

For the evaluation information of the relevant technician on the criterion of the target field, the evaluation information may include information that the relevant technician evaluates the criterion of the target field for a plurality of regions. When it is determined whether the criterion of the target area is applicable to a certain area of the plurality of areas, evaluation information corresponding to the area can be extracted from the criterion data and analyzed.

201. The computer device receives an indication acquisition instruction for a target zone.

The instruction obtaining instruction may be triggered by an instruction obtaining operation of a user, or may be triggered by the computer device after obtaining the standard data in the target field. In a possible implementation manner, the computer device may be any node device in the blockchain system, and the computer device may receive an instruction acquisition instruction sent by the user equipment.

The instruction acquisition instruction may include identification information of the target region, and the computer device may determine which region needs to be analyzed according to the identification information of the target region.

202. And the computer equipment responds to the instruction acquisition instruction to acquire target standard data corresponding to the target region in the standard data of the target field.

The computer device may perform the step of obtaining the target indication information in response to the instruction obtaining instruction. The target indication information is determined based on the target standard data corresponding to the target region, so that the computer device can acquire the target standard data corresponding to the target region from the standard data of the target region and use the target standard data as an acquisition basis of the target indication information.

In a possible implementation manner, the standard data of the target area may include standard data corresponding to at least one area, and the computer device may determine, according to the identification information of the target area, which standard data are data required for analyzing the target area. Specifically, in step 202, the computer device may, in response to the instruction, obtain the identification information of the target area in the instruction, and extract the target standard data corresponding to the identification information from the standard data of the target area. The required data can be accurately acquired according to the identification information, and then the subsequent steps are executed, all standard data are not needed to be analyzed, the calculated amount is reduced, and the data processing efficiency is improved.

In a possible implementation manner, the target standard data may include evaluation information obtained by analyzing, by at least one related technician, the standard of the target field and the regional characteristics of the target region and evaluating the applicability of the target region for the standard of the target field.

For example, a plurality of experts in the target area can evaluate whether or not the standard of the target area is suitable for the target area, and the plurality of experts have a high degree of understanding of the standard and a high degree of understanding of the requirement for the standard of the target area. The evaluation may include various evaluations, such as whether the target area criteria apply to the target area in terms of risk, policy, technical content, benefit, environment, and the like. For each item, more refined sub-items may also be subdivided to analyze each item.

In a specific example, the computer device may provide detailed evaluation rules to assist experts in evaluation, and during evaluation, multiple experts may form a meeting together according to the detailed evaluation rules to evaluate whether the criteria of the target field are applicable to the target area on each sub-project. For example, the evaluation rule may include a plurality of levels of evaluation indexes.

Specifically, a plurality of primary evaluation indexes may be included, a plurality of secondary evaluation indexes may be included under each primary evaluation index, and a plurality of tertiary evaluation indexes may be included under each secondary evaluation index. By thinning the evaluation rule, the applicability of the standard to the target region is measured in many aspects, the objectivity and the accuracy of the evaluation information can be effectively improved, and the objectivity and the accuracy of the target indication information are further improved.

In another possible implementation manner, the acquisition process of the target standard data may be automatically determined by the computer device according to the standard and the standard index requirement of the target area. Specifically, the computer device may obtain a standard index requirement of the target region, compare the standard data of the target region with the standard index requirement of the target region, and determine target standard data corresponding to the target region in the standard data of the target region, where the standard index requirement includes at least one of a risk requirement, a policy requirement, a technical content requirement, a benefit requirement, and an environmental requirement.

For example, in a specific example, the standard index as to whether the standard is applicable to the target zone division may be as shown in table 1, and may include a primary index, a secondary index, and a tertiary index, and the applicability of the standard is evaluated in various aspects in a detailed manner. Specifically, the standard indexes may include 5 first-level indexes (including potential risk, policy applicability, technical content applicability, benefit applicability, and environmental applicability), 16 second-level indexes (including policy risk, economic risk, domestic policy factor, bilateral relationship, target national policy factor, investment subject factor, technical level, standard operability, standard harmony, technical maturity, standard expected input-output condition, standard expected quality improvement, standard expected efficiency improvement, standard expected safety increase, social environmental benefit, and ecological environmental benefit), 25 third-level indexes, and an index system of 48 considered factors.

TABLE 1

In one particular example, the standard specification requirements may be as shown in table 2. According to the standard index requirement, the standard requirement is refined, and the evaluation rule can be unified through remarking, so that the accuracy of the evaluation information is effectively improved.

TABLE 2

In this implementation manner, after the target standard data is acquired by the computer device, the relevant technical staff may further check the target standard data, and if one or some of the data is desired to be corrected, the data correction operation may be performed, and the computer device may correct the target standard data in response to the data correction operation to obtain the corrected target standard data, and use the corrected target standard data as a basis for subsequently acquiring the target indication information. Of course, the computer device may also store the modified target standard data.

In another possible implementation manner, the multiple indexes may be split, some indexes are evaluated by a relevant technician according to standard index requirements, and other indexes are quantified and then determined by computer equipment. For example, the evaluation of the economic efficiency may be quantified, and for example, when the condition a is satisfied, the evaluation information is determined to be 1, and when the condition B is satisfied, the evaluation information is determined to be 2. Therefore, the accuracy of a processing result is ensured while the processing efficiency is ensured by a semi-manual processing mode of combining computer equipment and manual work.

203. And the computer equipment acquires target matching information in the target standard data, wherein the target matching information is used for indicating the risk of the standard of the target field applied to the target region.

After the computer equipment acquires the target standard data, whether the standard of the target field is suitable for the target region or not can be analyzed according to the target standard data.

The target standard data may include a plurality of items of matching information indicating applicability of the standard of the target area to the target area over a plurality of items. Each item of matching information is used to indicate the applicability of the criterion of the target area to the target area on each item.

The multiple items of matching information may include target matching information, and it can be known whether the standard of the target field is possibly risky when applied to the target region through the target matching information, and if there is a risk, it is indicated that the standard of the target field is not applicable to the target region, that is, the target matching information is not a reference item but a negative item, and once the indication result is negative (risky), it can be determined that the applicability degree of the standard of the target field in the target region is zero. If the indication is yes (no risk exists), the other reference items can be continued to determine the applicability degree of the standard of the target area in the target area.

In a possible implementation manner, before processing the target standard data, the computer device may perform preprocessing on the data, for example, may perform exception processing on the data, and remove the exception data, so as to avoid the exception data from affecting the target indication information, and improve the accuracy of the target indication information. Specifically, the computer device may obtain a degree of difference between each item of data and other items of data in the target standard data, and in response to the degree of difference of any item of data being greater than a target proportion, the computer device may remove the item of data from the target standard data. The target ratio is set according to requirements of related technicians, and the target ratio is not limited in the embodiment of the application.

For example, the target standard data may include evaluation information of ten experts, where nine experts have consistent or similar suitability evaluations for a certain item, and if the suitability evaluation of one expert for the item is greatly different from that of other experts, it may be considered that there is a possible error in the evaluation information of the expert, and therefore, the evaluation information of the expert may be removed, and the subsequent target indication information acquisition step may be performed based on the nine consistent suitability evaluations.

In one possible implementation, the computer device may also analyze the data as it is processed to determine whether the currently collected data is sufficient to obtain the target indication information. Specifically, the computer device may perform differentiation check on each item of matching information in the target standard data according to the target standard data. After the differential test, there may be the following two cases.

In case one, the computer device performs, in response to that the difference value of the differentiation test is less than or equal to a target value, the step of weighting the multiple items of matching information according to the standard of the target field and the multiple items of matching information of the target field in the target standard data and the weights of the multiple items of matching information to obtain target indication information.

And in the second situation, the computer equipment responds to that the difference value of any difference test is larger than the target value, and displays prompt information which is used for indicating that the matching information corresponding to the difference value cannot be used as the acquisition basis of the target indication information.

The target value may be set by a person skilled in the art according to requirements, for example, the target value may be 0.25, which is not limited in this embodiment of the application.

204. And the computer equipment responds to the target matching information and indicates that the standard of the target field is applied to the target region and has risk, and determines that the target indication information is zero.

If the target indication information is zero, the standard of the target field is not applicable to the target area, and in the following step 206, the computer device may display that the target field is not applicable to the target area.

205. The computer equipment responds to the target matching information and indicates that the standard of the target field is applied to the target region without risk, and weights other multiple items of matching information according to the standard of the target field in the target standard data, the other multiple items of matching information and the weights of the other multiple items of matching information to obtain target indication information.

And determining that no risk exists when the standard of the target field is applied to the target region through the target matching information, and determining whether the standard of the target field is applicable to the target region by the computer equipment according to other multiple items of matching information.

Specifically, each item of matching information in the plurality of items of matching information corresponds to at least one sub-matching item. The computer equipment can weight the sub-matching information of the sub-matching items to obtain each item of matching information, and then weight a plurality of items of matching information. Specifically, the computer device extracts sub-matching information of at least one sub-matching item corresponding to each item of matching information and the weight of each sub-matching item from the target standard data, weights the sub-matching information of the at least one sub-matching item according to the weight of each sub-matching item to obtain each item of matching information, and weights the items of matching information according to the weights of the items of matching information to obtain target indication information. Of course, each sub-matching item can also include sub-matching items, and the weighting process is the same as above.

The process of determining the weight of each level and each item of matching information may be determined step by step and class by class, and the process of determining the weight of the same-class index at the same layer may be as follows.

The computer device may construct an evaluation matrix based on the target criteria data. Let the weight vector composed of the weight ratio of each index be A_k(k. 1,2, n) n is an integer greater than 2. Structural index judgment matrix M, a_ijIs represented by A_iAnd A_jThe expression of the ratio of the degrees of influence of the evaluation targets can be shown as formula one.

Measured in a scale of 1 to 9, the computer device may obtain pairwise comparison matrices M ═ a (a)_ij)n×。

According to the comparison matrix, the computer equipment can carry out data expert scoring on the M matrixes to obtain M groups of expert scoring matrix data sets M_k(k. 1, 2. cndot. m). m is an integer greater than 2.

The computer equipment can calculate the standard deviation of each item of data in the matrix data set to verify the difference of the obtained data, and set a matrix M₁A of (a)_ijItem data is a_ij(A1)，M_mThe aij term data is aij (am), and a is calculated by the formula II and the formula III_ijMean value of item data

And standard deviation σ_ij。

The computer equipment utilizes a through the following formula IV_ijMean value of item data

And standard deviation σ_ijCalculating a_ijDifference of item data V_ijDetermining whether the evaluation data aiming at the index has larger divergence, if V_ijLess than or equal to 0.25 (that is, yes), it is determined that the data obtained by the index has a sufficient valueAnd (4) compliance with the evaluation requirement, otherwise, the grading data collection needs to be carried out again.

The computer equipment can adopt the following formula five, and the data is checked through the difference

Composition evaluation matrix

The computer equipment can use the following formula six to obtain an evaluation matrix by using matlab

Maximum eigenvalue λ of_maxAnd a feature vector A_k，A_kThe weight is a weight vector representing the weight ratio of each index in the level.

The computer equipment can verify the logic consistency of the index scoring result through the consistency check of the evaluation matrix. The seventh calculation formula of the consistency index Cl is as follows:

the computer device may further calculate the consistency ratio from the consistency index by the following formula eight.

Where Rl is a randomness index and can be obtained by referring to table 3, and the numerical values in table 3 are all empirical values, which is not limited in the embodiment of the present application.

TABLE 3

n	1	2	3	4	5	6	7	8	9
										Rl	0	0	0.58	0.90	1.12	1.24	1.32	1.41	1.45

After the computer device obtains the consistency ratio CR, whether the consistency of the evaluation matrix meets the requirement may be determined according to the magnitude relationship between the CR and a preset value. For example, if the predetermined value is 0.1 and CR < 0.10, the evaluation matrix is acceptable for consistency.

And according to the determining process, determining the index weight ratio under each branch of the index system step by step. And finally, determining the weight value of each three-level index, wherein the sum of the weight values of all three-level indexes is 1. The index weights can be calculated according to formula nine and formula ten.

α_i＝A_iB_iC_iEquation nine

Wherein, α i represents the weight value of each index layer index in the applicability evaluation system; ai represents the weight ratio of the criterion item to which the index of the alpha i item belongs; bi represents the weight ratio of the attached criterion items to which the index of the alpha i item belongs; ci represents the weight proportion of the index item of the alpha i item in the index layer; n represents the total number of indexes.

After the proportion of each index is calculated by the computer equipment, the index score (namely, the target indication information) can be obtained by weighting. Specifically, the computer device may calculate an arithmetic mean score Si of each of the three-level indices as a final score Si of each of the three-level indices of the standard by the following formula eleven.

Wherein Si represents the evaluation score of the alpha i index; sj represents the scoring value of the jth expert; m represents the number of experts.

After the specific gravity and the evaluation score of each index are obtained through calculation by the computer equipment, index scores (namely target indication information) can be obtained through weighting.

Wherein Qs represents a standard overseas suitability evaluation score (i.e., target indication information); alpha i represents a weight coefficient of each index layer index in a applicability evaluation system; n represents the total number of indexes.

A target threshold value may be set for the target indication information, and when the target indication information is greater than the target threshold value, it is determined that the standard of the target field is applicable to the target field, otherwise, it is not applicable. In step 206, the computer device may display the target indication information according to the size relationship between the target indication information and the target threshold.

The target threshold may be set by a related technician according to requirements, for example, the target threshold may be 75, and when the score of the internationalization applicability evaluation of a certain standard is not lower than 75 points and no veto item exists, the standard may be considered to be promoted to internationalize.

As shown in table 2, based on the standard international applicability evaluation index system, factors such as characteristics and application conditions of each index are researched and analyzed, the relevance of each index is analyzed, a standard international model is provided by combining the weight relation of each index in the standard international applicability evaluation index system, and a relevance table of the international index and the standard international applicability evaluation index system is provided. The standard internationalization mode mainly comprises two types, one is used for establishing an international standard, and the other is used for adopting a national standard aiming at a target country, referring to a key technical index of the national standard, becoming a fact standard, jointly establishing the standard and mutually recognizing the standard. The implementer can look up and select a suitable standard internationalization mode according to the actual score condition of the internationalization applicability evaluation of a certain standard and the score interval of the table 2. These two types of internationalization modes have priority. Then, comparative analysis judgment is carried out. And comparing and analyzing the index requirements of the corresponding internationalized modes of the Si and the table 2, and considering that the index requirements of the mode meet the corresponding indexes of the mode when the index requirements of a certain mode in the corresponding table are met. And counting the quantity NY meeting the requirements of the three-level indexes and the quantity NN not meeting the requirements of the three-level indexes in a certain international mode. And finally calculating the result. If NY/(NY + NN) is greater than or equal to 75%, it is suggested that the standard may be internationalized according to this model.

The above steps 203 to 205 are processes of weighting the multiple items of matching information according to the criteria of the target field and the multiple items of matching information in the target criteria data and the weights of the multiple items of matching information to obtain the target indication information, and the above description only takes the example that the multiple items of matching information include the target matching information, and the corresponding steps may be optional steps, and the computer device may directly weight the multiple items of matching information, and the embodiment of the present application does not specifically limit which manner is adopted.

In one possible implementation, the target indication information obtaining process may be implemented by a model. Specifically, the computer device may invoke an indication obtaining model, input the target standard data into the indication obtaining model, extract multiple items of matching information of the target domain and the target domain in the target standard data by the indication obtaining model, and weight the multiple items of matching information according to the multiple items of matching information and corresponding weights to obtain target indication information.

For example, as shown in fig. 3, the instruction acquisition model may be regarded as a black box, and the process of acquiring the target instruction information may be implemented by a Standard international Applicability evaluation (SIAA) that is an evaluation method based on a Standard international Applicability index system. The computer equipment can obtain the target indication information by taking the target standard data as the input of the black box. The computer equipment can take mass standards as the input of the black box, takes each standard as each evaluation object, takes a target region (target country) as an evaluation environment, evaluates each evaluation object through an evaluation index system, obtains comprehensive evaluation according to multi-level evaluation indexes and index weight evaluation, and further outputs the standard suitable for being popularized internationally as the black box. As shown in fig. 4, for multiple items of matching information, the computer device may first determine whether potential risks (including policy risks and economic risks) exist, if so, the computer device may determine that the applicability of the standard to a certain country is 0, if not, the computer device may continue to determine policy applicability, technical content applicability, benefit applicability, and environmental applicability, each applicability may also consider multiple factors, calculate corresponding scores for the multiple factors according to weights, and further determine whether the composite score is lower than 75, and if not, and no negative item exists, it may be determined that the standard may be generalized to a target country.

206. And the computer equipment displays whether the target field is suitable for the target region or not according to the target indication information.

When the target indication information is greater than the target threshold, the computer device may display that the standard of the target field is applicable to the target region. When the target indication information is less than or equal to the target threshold, the computer device may display that the standard of the target field is not applicable to the target area.

In a possible implementation manner, the computer device may further generate an application report of the standard of the target field in the target area according to the target indication information and the target standard data.

In a possible implementation manner, the computer device may be any node device in a blockchain system, and accordingly, the step 202 may be: and the computer equipment responds to the instruction acquisition instruction and extracts data corresponding to the block identifier on the block chain of the block chain system as the target standard data according to the block identifier in the instruction acquisition instruction. Accordingly, the computer device may further generate a chunk according to the target indication information and the target standard data, and add the chunk to the blockchain in response to a consensus of the chunk through the blockchain system. The block chain system stores the standard data, links the target indication information after the target indication information is determined, and ensures the safety and the accuracy of the standard data by utilizing the non-falsification characteristic of the data in the block chain system, thereby ensuring the accuracy of the target indication information.

A specific example is provided below, which is described by taking the target field as an example of the oil and gas pipeline field. Taking the standard of the target field as the standard GB 50251-2015 'design Specification for gas transmission pipeline engineering and the target region as Gilg Gilsstan for explanation, 8 experts in the standard field of oil and gas pipelines can be invited to evaluate the applicability or the thinking of the GB 50251-2015' design Specification for gas transmission pipeline engineering in Gilg Gilsstan according to the expert, and a scoring calculation table is included, and can be shown in a table 4. And calculating the evaluation result of each expert according to the oil and gas pipeline standard internationalized applicability evaluation model, and finally checking and calculating the average value of 8-expert scores as the result of whether the standard is internationalized applicability evaluation or not.

TABLE 4

From the calculation results, it can be known that: the standard has no potential risk and has the possibility of internationalization. The final scoring result for each expert was calculated from the model, and finally the criteria was evaluated with a final score of 88.40. According to the evaluation score standard of the internationalization applicability of the oil and gas pipeline standard, the internationalization applicability of the standard is considered to be high, and the internationalization can be considered.

Looking at the evaluation and scoring condition of the applicability of the standard internationalized to Gillgistan, it can be known that: comparing the requirement of 'adopting the national standard' mode, except 5 items [ friendly degree in 2-2-2 culture (containing religion and customs), standardization policy of 2-3-1 target country, industry policy of 2-3-2 target country, whether 3-3-1 is mutually coordinated with the foreign standard on main content after internationalization, and increase in 4-4-1 safety ] can not reach the index score required by the 'adopting the national standard' mode, and the other items all meet the requirement. When more than 75% of all three-level indexes (20 items) of a certain standard (namely more than 15 items) conform to a certain internationalized mode, the standard can be considered to adopt the mode internationalization. In this example, 15 items meet the index requirements of adopting the national standard, namely meet more than 75% of indexes, so that the international standard is proposed to Gilbesteins, and an international mode of adopting the national standard can be adopted. Because the international mode of 'adopting the national standard' has higher difficulty compared with the mode of 'jointly formulating the standard', and the like, the mode of 'jointly formulating the standard', 'adopting the Chinese standard key technical index', and the like is also a mode which can be considered (the index value requirement of the mode of 'jointly formulating the standard', 'adopting the Chinese standard key technical index' is verified, and the case can be known to meet the index requirements of 'jointly formulating the standard' and 'adopting the Chinese standard key technical index' of more than 75 percent). According to the principle of convenience, operability and easy realizability, the international mode of the standard suggestion is a mode of adopting the national standard by combining the analysis contents. Of course, the above description is only an exemplary illustration and not a limitation of the present application.

Fig. 5 is a schematic structural diagram of a standard data processing apparatus in a target domain according to an embodiment of the present application, and referring to fig. 5, the apparatus includes:

a receiving module 501, configured to receive an instruction obtaining instruction for a target area;

an obtaining module 502, configured to obtain, in response to the instruction obtaining instruction, target standard data corresponding to the target region from standard data in the target field;

a processing module 503, configured to weight multiple items of matching information according to the standard of the target field in the target standard data, multiple items of matching information of the target field, and weights of the multiple items of matching information, so as to obtain target indication information, where the target indication information is used to indicate an applicability degree of the standard of the target field in the target field;

the display module 504 is configured to display whether the target area is suitable for the target area according to the target indication information.

the processing module 503 is configured to:

Optionally, the processing module 503 is configured to invoke an indication obtaining model, input the target standard data into the indication obtaining model, extract multiple items of matching information of the standard of the target field and the target region in the target standard data by the indication obtaining model, and weight the multiple items of matching information according to the multiple items of matching information and corresponding weights, so as to obtain target indication information.

Optionally, the processing module 503 is configured to:

Optionally, the processing module 503 is further configured to determine that the target indication information is zero in response to that the target matching information indicates that there is a risk that the standard of the target area is applied to the target area.

Optionally, the processing module 503 is further configured to:

Optionally, the obtaining module 502 is configured to:

acquiring the standard index requirement of the target region;

Optionally, the obtaining module 502 is configured to obtain, in response to the instruction, the identification information of the target region in the instruction, and extract the target standard data corresponding to the identification information from the standard data of the target region.

Optionally, the computer device is any node device in the blockchain system;

the obtaining module 502 is configured to respond to the instruction obtaining instruction, and extract data corresponding to the block identifier in the block chain of the block chain system as the target standard data according to the block identifier in the instruction obtaining instruction;

the device also includes:

the generating module is used for generating a block according to the target indication information and the target standard data;

a storage module for adding the chunk to the blockchain in response to a consensus of the chunk through the blockchain system.

The device that this application embodiment provided, through obtaining the instruction according to the instruction to the target region, the automatic acquisition corresponds the target standard data of target region, by the automatic execution of machine acquisition step, need not the artificial region of distinguishing, can reduce the cost of labor, follow-up can be automatic to the multinomial matching information of target standard data weight, confirm whether this target field is applicable to this target region, need not to judge according to self experience by the professional, human subjective factor has been reduced, by the automatic analysis of machine, can improve the accuracy of the result of confirming, improve the treatment effeciency to the standard data of this target field.

It should be noted that: in the above embodiment, when processing the standard data of the target domain, the standard data processing apparatus of the target domain is only illustrated by the division of the functional modules, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules, so as to complete all or part of the above described functions. In addition, the standard data processing apparatus in the target field and the standard data processing method in the target field provided in the above embodiments belong to the same concept, and specific implementation processes thereof are described in detail in the method embodiments and are not described herein again.

The computer device in the standard data processing method in the above target field may be a terminal shown in fig. 6, and fig. 6 is a schematic structural diagram of a terminal provided in an embodiment of the present application. Referring to fig. 6, the terminal 600 may be: a smart phone, a tablet computer, an MP3(Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3) player, an MP4(Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4) player, a notebook computer or a desktop computer. The terminal 600 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, etc.

In general, the terminal 600 includes: one or more processors 601 and one or more memories 602.

The processor 601 may include one or more processing cores, such as a 4-core processor, a 6-core processor, and so on. The processor 601 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 601 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 601 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, processor 601 may also include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.

The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 602 is used to store at least one instruction for execution by processor 601 to implement a standard data processing method of the target domain provided by the method embodiments in the present application.

In some embodiments, the terminal 600 may further optionally include: a peripheral interface 603 and at least one peripheral. The processor 601, memory 602, and peripheral interface 603 may be connected by buses or signal lines. Various peripheral devices may be connected to the peripheral interface 603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 604, a display 605, a camera assembly 606, an audio circuit 607, a positioning component 608, and a power supply 609.

The peripheral interface 603 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 601 and the memory 602. In some embodiments, the processor 601, memory 602, and peripheral interface 603 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 601, the memory 602, and the peripheral interface 603 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 604 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 604 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 604 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 604 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 604 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 604 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.

The display 605 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 605 is a touch display screen, the display screen 605 also has the ability to capture touch signals on or over the surface of the display screen 605. The touch signal may be input to the processor 601 as a control signal for processing. At this point, the display 605 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 605 may be one, providing the front panel of the terminal 600; in other embodiments, the display 605 may be at least two, respectively disposed on different surfaces of the terminal 600 or in a folded design; in some embodiments, the display 605 may be a flexible display disposed on a curved surface or a folded surface of the terminal 600. Even more, the display 605 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The Display 605 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and the like.

The camera assembly 606 is used to capture images or video. Optionally, camera assembly 606 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 606 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

Audio circuitry 607 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 601 for processing or inputting the electric signals to the radio frequency circuit 604 to realize voice communication. For the purpose of stereo sound collection or noise reduction, a plurality of microphones may be provided at different portions of the terminal 600. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 601 or the radio frequency circuit 604 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 607 may also include a headphone jack.

The positioning component 608 is used for positioning the current geographic Location of the terminal 600 to implement navigation or LBS (Location Based Service). The Positioning component 608 can be a Positioning component based on the united states GPS (Global Positioning System), the chinese beidou System, the russian graves System, or the european union's galileo System.

Power supply 609 is used to provide power to the various components in terminal 600. The power supply 609 may be ac, dc, disposable or rechargeable. When the power supply 609 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, the terminal 600 also includes one or more sensors 610. The one or more sensors 610 include, but are not limited to: acceleration sensor 611, gyro sensor 612, pressure sensor 613, fingerprint sensor 614, optical sensor 615, and proximity sensor 616.

The acceleration sensor 611 may detect the magnitude of acceleration in three coordinate axes of the coordinate system established with the terminal 600. For example, the acceleration sensor 611 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 601 may control the display screen 605 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 611. The acceleration sensor 611 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 612 may detect a body direction and a rotation angle of the terminal 600, and the gyro sensor 612 and the acceleration sensor 611 may cooperate to acquire a 3D motion of the user on the terminal 600. The processor 601 may implement the following functions according to the data collected by the gyro sensor 612: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

Pressure sensors 613 may be disposed on the side bezel of terminal 600 and/or underneath display screen 605. When the pressure sensor 613 is disposed on the side frame of the terminal 600, a user's holding signal of the terminal 600 can be detected, and the processor 601 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 613. When the pressure sensor 613 is disposed at the lower layer of the display screen 605, the processor 601 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 605. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The fingerprint sensor 614 is used for collecting a fingerprint of a user, and the processor 601 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 614, or the fingerprint sensor 614 identifies the identity of the user according to the collected fingerprint. Upon identifying that the user's identity is a trusted identity, the processor 601 authorizes the user to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying, and changing settings, etc. The fingerprint sensor 614 may be disposed on the front, back, or side of the terminal 600. When a physical button or vendor Logo is provided on the terminal 600, the fingerprint sensor 614 may be integrated with the physical button or vendor Logo.

The optical sensor 615 is used to collect the ambient light intensity. In one embodiment, processor 601 may control the display brightness of display screen 605 based on the ambient light intensity collected by optical sensor 615. Specifically, when the ambient light intensity is high, the display brightness of the display screen 605 is increased; when the ambient light intensity is low, the display brightness of the display screen 605 is adjusted down. In another embodiment, the processor 601 may also dynamically adjust the shooting parameters of the camera assembly 606 according to the ambient light intensity collected by the optical sensor 615.

A proximity sensor 616, also known as a distance sensor, is typically disposed on the front panel of the terminal 600. The proximity sensor 616 is used to collect the distance between the user and the front surface of the terminal 600. In one embodiment, when proximity sensor 616 detects that the distance between the user and the front face of terminal 600 gradually decreases, processor 601 controls display 605 to switch from the bright screen state to the dark screen state; when the proximity sensor 616 detects that the distance between the user and the front face of the terminal 600 is gradually increased, the processor 601 controls the display 605 to switch from the breath-screen state to the bright-screen state.

Those skilled in the art will appreciate that the configuration shown in fig. 6 is not intended to be limiting of terminal 600 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

The computer device in the standard data Processing method in the target field may be the server shown in fig. 7, where fig. 7 is a schematic structural diagram of a server 700 provided in this embodiment, and the server 700 may generate a relatively large difference due to a difference in configuration or performance, and may include one or more processors (CPUs) 701 and one or more memories 702, where the memory 702 stores at least one program code, and the at least one program code is loaded and executed by the processor 701 to implement the steps of the standard data Processing method in the target field provided in each embodiment. Of course, the server 700 may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input and output, and the server 700 may also include other components for implementing the functions of the device, which are not described herein again.

In an exemplary embodiment, there is also provided a computer readable storage medium, such as a memory, comprising instructions executable by a processor to perform the standard data processing method of the target field in the above embodiments. For example, the computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact Disc Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is intended to be exemplary only, and not to limit the present application, and any modifications, equivalents, improvements, etc. made within the spirit and scope of the present application should be construed as being included in the present application.

Claims

1. A standard data processing method of a target field is applied to a computer device, and the method comprises the following steps:

receiving an instruction acquisition instruction of a target region;

2. The method according to claim 1, wherein each item of matching information in the plurality of items of matching information corresponds to at least one sub-matching item;

3. The method according to claim 1, wherein the weighting the multiple items of matching information according to the multiple items of matching information of the target area and the standard of the target area in the target standard data and the weight of the multiple items of matching information to obtain target indication information includes:

4. The method of claim 3, further comprising:

5. The method of claim 1, further comprising:

6. The method according to claim 1, wherein the obtaining of the target standard data corresponding to the target area from the standard data of the target area comprises:

acquiring standard index requirements of the target region;

7. The method of claim 1, wherein the computer device is any node device in a blockchain system;

the method further comprises the following steps:

8. A standard data processing apparatus of a target domain, the apparatus comprising a plurality of functional modules for performing the standard data processing method of the target domain according to any one of claims 1 to 7.

9. A computer device comprising one or more processors and one or more memories having stored therein at least one instruction that is loaded and executed by the one or more processors to perform operations performed by a standard data processing method of the target domain as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium having stored therein at least one instruction which is loaded and executed by a processor to perform operations performed by a standard data processing method of a target area as claimed in any one of claims 1 to 7.