CN110782158B

CN110782158B - Object evaluation method and device

Info

Publication number: CN110782158B
Application number: CN201911018120.3A
Authority: CN
Inventors: 孟思妤; 赵华; 朱通
Original assignee: Alipay Hangzhou Information Technology Co Ltd
Current assignee: Alipay Hangzhou Information Technology Co Ltd
Priority date: 2019-10-24
Filing date: 2019-10-24
Publication date: 2022-07-08
Anticipated expiration: 2039-10-24
Also published as: CN110782158A; CN115146980A

Abstract

The embodiment of the specification discloses an object evaluation method and device, and the method comprises the following steps: acquiring first evaluation data from a target service unit BU system, wherein the target BU system is composed of an object to be evaluated and a service object associated with the service, and the first evaluation data is used for representing the behavior which is generated when the object to be evaluated and the service object carry out service traffic and is related to environmental protection evaluation; acquiring second evaluation data, wherein the second evaluation data is used for representing behaviors related to environmental protection evaluation in the operation configuration of the object to be evaluated; inputting data to be evaluated corresponding to an object to be evaluated into a green evaluation model to obtain an environment-friendly evaluation parameter, wherein the data to be evaluated comprises first evaluation data and second evaluation data; the green evaluation model is obtained by training based on sample data, and the sample data comprises first historical evaluation data corresponding to a historical evaluation object acquired from a target BU system and second historical evaluation data related to environmental protection evaluation in the operation configuration of the historical evaluation object.

Description

Object evaluation method and device

Technical Field

The embodiment of the specification relates to the technical field of computers, in particular to an object evaluation method and device.

Background

With the low-carbon environment-friendly operation becoming a development trend, more enterprises pay attention to and practice the low-carbon environment-friendly operation as a basis for developing green economy, and the attention to and practice the low-carbon environment-friendly operation is also a social responsibility of the enterprises. It is becoming more and more important to evaluate the environmental protection level of enterprises accurately to encourage and mobilize more enterprises to join the low-carbon environmental protection business.

At present, an existing Environmental protection assessment system mainly focuses on the assessment of Environmental protection level of large-scale enterprises, such as an ESG (Environmental Social interface & Governance) assessment system, and mainly performs Environmental protection level assessment from three dimensions of Environmental performance, Social responsibility and corporate Governance, wherein scoring data of the system is derived from data disclosed by medium-scale and large-scale enterprises with a relatively sound enterprise information disclosure system and Environmental data under the requirement of specifications, the dimensions are relatively fixed, and the assessment system mainly depends on publicly disclosed data, so that the stability and accuracy of Environmental protection level assessment results are influenced.

Disclosure of Invention

The embodiment of the specification provides an object evaluation method and device, and aims to solve the problems that an existing environment protection degree evaluation system is limited in application range and poor in stability and accuracy of evaluation results.

The embodiment of the specification adopts the following technical scheme:

in a first aspect, an embodiment of the present specification provides a method for evaluating a subject, the method including:

acquiring first evaluation data corresponding to an object to be evaluated from a target service unit (BU) system, wherein the target BU system is composed of the object to be evaluated and a service object which is in service association with the object to be evaluated, and the first evaluation data is used for representing a behavior which is generated when the object to be evaluated and the service object carry out service traffic and is related to environmental protection evaluation;

acquiring second evaluation data of the object to be evaluated, wherein the second evaluation data is used for representing behaviors related to environmental protection evaluation in the operation configuration of the object to be evaluated;

inputting the data to be evaluated corresponding to the object to be evaluated into a green evaluation model to obtain environment-friendly evaluation parameters of the object to be evaluated, wherein the data to be evaluated comprises the first evaluation data and the second evaluation data;

the green evaluation model is obtained by training based on sample data, wherein the sample data comprises first historical evaluation data corresponding to a historical evaluation object acquired from the target BU system and second historical evaluation data related to environmental protection evaluation in the operation configuration of the historical evaluation object.

In a second aspect, embodiments of the present specification provide a subject evaluation apparatus, including:

the system comprises a first acquisition module, a first evaluation module and a second acquisition module, wherein the first acquisition module is used for acquiring first evaluation data corresponding to an object to be evaluated from a target service unit (BU) system, the target BU system is composed of the object to be evaluated and a service object associated with the object to be evaluated in service, and the first evaluation data is used for representing behaviors which are generated when the object to be evaluated and the service object carry out service traffic and are related to environmental protection evaluation;

the second acquisition module is used for acquiring second evaluation data of the object to be evaluated, and the second evaluation data is used for representing behaviors related to environmental protection evaluation in the operation configuration of the object to be evaluated;

the evaluation module is used for inputting data to be evaluated corresponding to the object to be evaluated into a green evaluation model to obtain environment-friendly evaluation parameters of the object to be evaluated, wherein the data to be evaluated comprises the first evaluation data and the second evaluation data;

the green evaluation model is obtained by training based on sample data, and the sample data comprises first historical evaluation data corresponding to a historical evaluation object acquired from the target BU system and second historical evaluation data related to environmental protection evaluation in the operation configuration of the historical evaluation object.

In a third aspect, an embodiment of the present specification provides an electronic device, including:

a processor; and

a memory arranged to store computer executable instructions that, when executed, cause the processor to:

acquiring first evaluation data corresponding to an object to be evaluated from a target Business Unit (BU) system, wherein the target BU system is composed of the object to be evaluated and a business object which is in business association with the object to be evaluated, and the first evaluation data is used for representing a behavior which is generated when the object to be evaluated and the business object carry out business transaction and is related to environmental evaluation;

In a fourth aspect, embodiments of the present specification provide a computer readable storage medium storing one or more programs which, when executed by an electronic device including a plurality of application programs, cause the electronic device to perform operations comprising:

The embodiment of the present specification adopts at least one technical scheme that can achieve the following technical effects:

in the embodiment of the present specification, when the environmental protection degree of the object to be evaluated is evaluated, at least second evaluation data of the object to be evaluated, which can represent a behavior related to environmental protection evaluation in the operation configuration of the object to be evaluated, is required, where the second evaluation data can be directly obtained in a public manner and can ensure normal operation of the object to be evaluated. Further, first evaluation data capable of representing behaviors related to environmental evaluation generated when the object to be evaluated performs a specific service is obtained from a target BU system formed by the object to be evaluated and a service object associated with the service existing in the object to be evaluated, wherein the specific service can refer to the traffic between the object to be evaluated and other service objects in the target BU system. And then, inputting the acquired data serving as the data to be evaluated of the object to be evaluated into a pre-trained green evaluation model for automatic and intelligent data processing and analysis so as to quickly and accurately obtain an environmental protection evaluation parameter which can intuitively and quantitatively represent the environmental protection degree of the object to be evaluated. So, through richening the dimensionality of the original assessment data used by the environmental protection assessment, and to treat the assessment object at a more comprehensive angle to carry out the environmental protection assessment, the stability and accuracy of the assessment result of the environmental protection degree can be ensured, moreover, the universality of the object assessment scheme in the embodiment is better, the application range is wider, the coverage rate is higher, not only the assessment of the environmental protection degree of a large-scale enterprise can be realized, but also the assessment of the environmental protection degree of a small-scale enterprise can be realized.

Drawings

The accompanying drawings, which are included to provide a further understanding of the specification and are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description serve to explain the specification and not to limit the specification in a non-limiting sense. In the drawings:

fig. 1 is a schematic flowchart of a method for evaluating a subject according to an embodiment of the present disclosure;

FIG. 2 is a system diagram of an object evaluation system based on a wind control engine according to an embodiment of the present disclosure;

FIG. 3 is a schematic diagram of an evaluation process of the object evaluation system shown in FIG. 2 according to an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of an object evaluation apparatus provided in an embodiment of the present specification;

fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present specification.

Detailed Description

In order to make the objects, technical solutions and advantages of the present disclosure more clear, the technical solutions of the present disclosure will be clearly and completely described below with reference to the specific embodiments of the present disclosure and the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present disclosure, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort belong to the protection scope of the present specification.

For the existing environmental protection degree evaluation system stated in the background technology part, the system mainly focuses on medium and large-sized enterprises, such as enterprises with a more sound information disclosure system, such as 500 strong marketing companies, domestic certified companies and the like in the world; meanwhile, the fact that the low-carbon environment-friendly operation is not the spontaneous requirement of each enterprise is considered, especially for small and micro enterprises. Therefore, the existing environmental protection degree evaluation system lacks quantifiable indexes for guiding enterprises to practice low-carbon environmental protection operation, so that the overall excitation and mobilization mechanism is weak, and the enterprises lack subjective initiative of participating in the low-carbon environmental protection operation. Moreover, the existing environment protection degree evaluation system has limited application range and lacks stability and accuracy of evaluation results. Therefore, it is necessary to provide a new solution for evaluating the environmental protection level.

The technical solutions provided by the embodiments of the present description are described in detail below with reference to the accompanying drawings.

Referring to fig. 1, an embodiment of the present disclosure provides a method for evaluating a subject, which may include:

step 101: first evaluation data corresponding to an object to be evaluated is obtained from a target service unit BU system, the target BU system is composed of the object to be evaluated and a service object which is in service association with the object to be evaluated, and the first evaluation data is used for representing behaviors which are generated when the object to be evaluated and the service object carry out service traffic and are related to environmental protection evaluation.

Optionally, based on the difference in the property of the object to be evaluated, the Business objects associated with the Business existing in the object to be evaluated in the target Business Unit (BU) system may be different, and the corresponding first evaluation data may also be different.

Optionally, the first evaluation data at least may include service data related to the object to be evaluated in the business object.

It can be understood that when the business object of the object to be evaluated and the business object in the same BU system generate business transactions, the business object may keep a relevant business transaction record, and then the service data that can be used for performing environmental protection evaluation on the object to be evaluated may be collected from the record. For example, in the case that the object to be evaluated is a restaurant industry enterprise, the business object in the target BU system may include an enterprise providing takeout services, and the corresponding first evaluation data may include at least data indicating that a merchant providing online delivery services for the object to be evaluated, that is, the business object in the target BU system (such as hungry, mei group, and the like) can provide usage of environmental tableware; in the case that the object to be evaluated is a clothing business, the business object in the target BU system may include an enterprise providing a logistics transportation service, and the corresponding first evaluation data may include at least data representing usage of an eco-friendly package of the object to be evaluated, and the like.

Step 103: and acquiring second evaluation data of the object to be evaluated, wherein the second evaluation data is used for representing behaviors related to environmental protection evaluation in the operation configuration of the object to be evaluated.

Optionally, the second evaluation data at least includes data disclosed by the subject to be evaluated: business qualification data, environmental compliance status data, product service data, and production supply data.

The environmental compliance data may include known certification data of a degree or grade meeting the environmental related regulations. The product service data may include a product environmental protection level, product research and development environmental protection status data (such as data of whether pollution and pollution condition are caused), product packaging data, whether tableware is promised, green payment system construction data, green office popularization data, public welfare practice condition data, environmental protection publicity data, and the like. The production supply data can comprise self environmental protection responsibility trampling situation data such as energy utilization, greenhouse gas emission, sewage generation and waste recovery in the product production process, greening related data of the logistics operation environment and the whole logistics management process in the product supply process, pollution situation data of upstream and downstream supply chains of the object to be evaluated and the like. Therefore, various influences brought by enterprise production to atmosphere, soil, water resources and the like, direct pollution brought by enterprise production and indirect pollution brought by driving an upstream supply chain and a downstream supply chain can be comprehensively evaluated.

Optionally, the relevant data is collected from a publication or the like related to the object to be evaluated. For example, the corresponding data is captured from enterprise websites, enterprise official WeChats, news websites, online forums, government agency websites, academic institutions, online magazine websites, blog websites, microblog websites, social and professional networking sites, online publicity and financing websites and the like of the objects to be evaluated.

Step 105: inputting the data to be evaluated corresponding to the object to be evaluated into a green evaluation model to obtain environment-friendly evaluation parameters of the object to be evaluated, wherein the data to be evaluated comprises first evaluation data and second evaluation data;

the green evaluation model is obtained by training based on sample data, and the sample data comprises first historical evaluation data corresponding to a historical evaluation object acquired from a target BU system and second historical evaluation data related to environmental protection evaluation in the operation configuration of the historical evaluation object.

In the embodiment of the present specification, when the environmental protection degree of the object to be evaluated is evaluated, at least second evaluation data of the object to be evaluated, which can represent a behavior related to environmental protection evaluation in the operation configuration of the object to be evaluated, is required, where the second evaluation data can be directly obtained in a public manner and can ensure normal operation of the object to be evaluated. Further, first evaluation data capable of representing behaviors related to environmental evaluation generated when the object to be evaluated performs a specific service is obtained from a target BU system formed by the object to be evaluated and a service object associated with the service existing in the object to be evaluated, wherein the specific service can refer to the traffic between the object to be evaluated and other service objects in the target BU system. And then, inputting the acquired data serving as the data to be evaluated of the object to be evaluated into a pre-trained green evaluation model for automatic and intelligent data processing and analysis so as to quickly and accurately obtain an environmental protection evaluation parameter which can intuitively and quantitatively represent the environmental protection degree of the object to be evaluated. Therefore, the dimensionality of original assessment data used for environmental protection assessment is enriched, so that environmental protection assessment is carried out on an object to be assessed in a more comprehensive angle, the stability and accuracy of an assessment result of the environmental protection degree can be ensured, the object assessment scheme in the embodiment is better in universality, wider in application range and higher in coverage rate, assessment of the environmental protection degree of a large enterprise can be achieved, and assessment of the environmental protection degree of a small enterprise can be achieved.

It can be understood that, the content type of the first historical evaluation data in the sample data of the green evaluation model for training is the same as the first evaluation data of the object to be evaluated, and the content type of the second historical evaluation data is the same as the second evaluation data of the object to be evaluated, which is not described herein again.

Optionally, in the object evaluation method in the embodiment of the present specification, the step 105 may be specifically implemented as follows:

preprocessing data to be evaluated of an object to be evaluated, wherein the preprocessing can comprise at least one of normalization processing and missing value processing, and the data to be evaluated comprises first evaluation data and second evaluation data;

and inputting the preprocessed data to be evaluated into a green evaluation model to obtain an environment-friendly evaluation parameter.

It can be understood that the data to be evaluated with higher confidence can be obtained by preprocessing the data to be evaluated of the object to be evaluated, such as missing value completion, normalization and the like, so as to ensure the reliability of the input data of the green evaluation model, and thus the accuracy of the evaluation result is improved.

performing feature extraction on data to be evaluated based on the object to be evaluated to obtain the data to be evaluated after the feature extraction, wherein the data to be evaluated comprises first evaluation data and second evaluation data;

and inputting the data to be evaluated after the characteristic extraction into a green evaluation model to obtain an environment-friendly evaluation parameter.

It should be understood that, in this embodiment of the present specification, the data to be evaluated before feature extraction may be preprocessed data to be evaluated, or may also be raw data that is not preprocessed, and this is not limited in this embodiment of the present specification.

Optionally, in order to further enrich the dimension of the data used for the environmental protection degree evaluation and further improve the stability and accuracy of the environmental protection degree evaluation result, in the object evaluation method according to an embodiment of the present specification, the data to be evaluated further includes at least one of third evaluation data and fourth evaluation data, where the third evaluation data is used to represent the environmental protection evaluation result of the object to be evaluated by a third party, and the fourth evaluation data is used to represent the behavior of the user object end associated with the object to be evaluated, which is related to the environmental protection evaluation.

Optionally, the third evaluation data includes data in an environmental evaluation report issued by a third party; the fourth evaluation data comprises the behavior data of the internal employee object side and the behavior data of the external user object side.

It can be understood that the environmental protection assessment result of the object to be assessed by the third party may include data in an environmental protection assessment report issued by the third party, such as an environmental protection assessment report issued in the industry and the like by a government organization, a non-government organization and the object to be assessed, and based on the environmental protection assessment report, index data such as the environmental protection information disclosure degree, the environmental protection violation penalty and the major safety accident of the object to be assessed may be obtained.

The user object terminals associated with the object to be evaluated may include an internal employee object terminal and an external user object terminal of the object to be evaluated, and the fourth evaluation data may at least include behavior data of the internal employee object, such as data related to whether green travel is performed or not, water and electricity energy consumption condition and the like, and data for code scanning identification and reporting is performed through a green detection c (client) terminal, so as to map personal behaviors and the like of the user object terminals such as a manager, an employee, a client and the like of the object to be evaluated to a behavior of a b (business) terminal (i.e., a server terminal corresponding to the object to be evaluated). Therefore, the objective accuracy of the data for carrying out the environmental protection evaluation on the object to be evaluated can be further ensured by adding the third-party data and the data supplement of the user side.

Optionally, in this embodiment of the present specification, the deductive side index may be mined based on data of the supplemented third party and/or user object side, and the deficiency value may be supplemented.

Accordingly, the sample data for performing the green evaluation model training may further include at least one of third history evaluation data and fourth history evaluation data, the third history evaluation data is used for characterizing an environmental protection evaluation result of the third party on the history evaluation object, and the fourth history evaluation data is used for characterizing a behavior related to the environmental protection evaluation at the user object end associated with the history evaluation object.

It can be understood that the sample data for performing green evaluation model training may include, in addition to the first historical evaluation data and the second historical evaluation data, third historical evaluation data having the same content type as that of third evaluation data of the object to be evaluated, and/or fourth historical evaluation data having the same content type as that of fourth evaluation data of the object to be evaluated, which is not described herein again in detail.

Before the step 105, the object evaluation method in this specification may further include the following steps:

and acquiring at least one of the third evaluation data and the fourth evaluation data of the object to be evaluated to obtain the data to be evaluated of the object to be evaluated.

It is to be understood that, in the step 105 of the object evaluation method of the embodiment of the present specification, the input of the green evaluation model, that is, the data to be evaluated of the object to be evaluated may include at least one of the third evaluation data and the fourth evaluation data, the first evaluation data, and the second evaluation data. Therefore, the environmental protection assessment parameter which can visually and quantitatively represent the environmental protection degree of the object to be assessed can be quickly and accurately obtained through the data to be assessed with richer dimensions, and therefore assessment of the environmental protection degree of the object to be assessed is achieved.

Optionally, in order to further enrich the dimensionality of the data used for the environmental protection degree evaluation and further improve the stability and accuracy of the environmental protection degree evaluation result, in the object evaluation method in the embodiment of the present specification, the data to be evaluated further includes fifth evaluation data, and the fifth evaluation data is used for representing the risk degree of the object to be evaluated.

Optionally, the fifth evaluation data includes transaction and fund risk identification data of the object to be evaluated.

It can be understood that, in order to further ensure the objective accuracy of the environmental protection level evaluation of the object to be evaluated, the evaluation result representing the risk level of the object to be evaluated is also used as data for evaluating the environmental protection level, and specifically, transaction and fund risk identification data of the object to be evaluated, which is identified by the existing risk identification or evaluation model and the like, such as a risk evaluation result representing the possibility of black and grey products, such as fraudulent use, fraud, marketing cheating, garbage registration identification and the like, may be included, so as to avoid the occurrence of evaluating the environmental protection level of the object to be evaluated with a high risk level to a higher level.

Accordingly, the sample data for performing the green evaluation model training may further include fifth historical evaluation data for characterizing the degree of risk of the historical evaluation object.

It can be understood that the sample data for training the green evaluation model may further include, in addition to the first historical evaluation data and the second historical evaluation data, at least one of third historical evaluation data having a same content type as third evaluation data of the object to be evaluated, fourth historical evaluation data having a same content type as fourth evaluation data of the object to be evaluated, and fifth historical evaluation data having a same content type as fifth evaluation data of the object to be evaluated, which is not described herein again in detail.

Before the step 105, the object evaluation method in the embodiment of the present specification may further include the following steps:

and acquiring fifth evaluation data of the object to be evaluated to obtain the data to be evaluated of the object to be evaluated.

It is to be understood that, in the step 105 of the object evaluation method of the embodiment of the present specification, the input of the green evaluation model, that is, the data to be evaluated of the object to be evaluated may include at least one of the third evaluation data, the fourth evaluation data, and the fifth evaluation data, the first evaluation data, and the second evaluation data. Therefore, the environmental protection assessment parameter which can visually and quantitatively represent the environmental protection degree of the object to be assessed can be quickly and accurately obtained through the data to be assessed with richer dimensions, and therefore assessment of the environmental protection degree of the object to be assessed is achieved.

The third evaluation data, the fourth evaluation data and the fifth evaluation data can comprehensively evaluate the influence of environmental penalties of governments and sudden environmental events on reputation and operation of enterprises, the relevant system and information disclosure level of the ability of the enterprises to actively manage risks, the attention degree of the enterprises to employee rights and development, and the efforts of the enterprises on environmental awareness aspects such as charitable public welfare, environmental publicity education and the like, local community construction and the like.

Further optionally, in the object evaluation method in the embodiment of the present specification, the environmental evaluation parameter includes at least one of a comprehensive evaluation parameter and a module evaluation parameter corresponding to a target evaluation dimension;

the target evaluation dimension comprises at least one of a plurality of evaluation dimensions, the comprehensive evaluation parameter is determined based on the module evaluation parameter and the evaluation weight corresponding to each evaluation dimension in the plurality of evaluation dimensions, and the data to be evaluated corresponds to the features in the plurality of evaluation dimensions.

It can be understood that, in order to more accurately, comprehensively and in detail realize the evaluation of the environmental protection degree of the object to be evaluated according to the environmental protection evaluation parameter, besides outputting a comprehensive evaluation parameter representing the overall environmental protection degree of the object to be evaluated, a module evaluation parameter corresponding to at least one evaluation dimension can be output at the same time to represent the strong item and/or the weak item of the object to be evaluated in the process of practicing the environmental protection operation, the environmental protection degree of the object to be evaluated is fully known from different aspects, and a quantitative index which can be used for guiding the object to be evaluated to practice the environmental protection operation is provided; meanwhile, the environmental protection evaluation parameters output by the green evaluation model have high interpretability, so that the target to be evaluated can adjust the point of application of environmental protection operation according to the evaluation result, and the environmental protection degree is improved.

The plurality of evaluation dimensions for evaluating the environmental protection degree of the object to be evaluated respectively correspond to corresponding evaluation weights, so that under the condition of obtaining the module evaluation parameters corresponding to the evaluation dimensions, the comprehensive evaluation parameters of the object to be evaluated can be obtained according to each module evaluation parameter and the corresponding evaluation weight thereof, wherein the comprehensive evaluation parameters are positively correlated with the evaluation weights.

For example, as shown in fig. 2, the evaluation dimensions may include at least threshold admission, green product, green service, green awareness, green supply chain, green production, green C-side, etc., and each evaluation dimension has a corresponding evaluation weight. Different feature points (i.e., evaluation indexes) correspond to each evaluation dimension, the obtained original evaluation data can be matched and correspond to corresponding feature points in different evaluation dimensions after being processed, so as to realize evaluation of the corresponding dimensions, and a corresponding data processing process can refer to the flow shown in fig. 3. Furthermore, based on the framework of modular evaluation, when new knowledge is introduced, other modules cannot be influenced, and cost change can be directly estimated and initialization weight can be set.

Optionally, in the object evaluation method in the embodiment of the present specification, the environmental protection evaluation parameter may be embodied as a green evaluation score, so as to evaluate the environmental protection level of the object to be evaluated according to the green evaluation score. Specifically, after multiplying the evaluation score of each module by the corresponding evaluation weight, the sum operation is performed on all the product results corresponding to the multiple evaluation dimensions to obtain the comprehensive evaluation score of the object to be evaluated.

Further optionally, the evaluation of the environmental protection degree of the object to be evaluated according to the green evaluation score may specifically be: and determining the environmental protection grades corresponding to the target score intervals one by one according to the target score intervals where the green evaluation scores are located, so as to represent the environmental protection degree of the object to be evaluated through the environmental protection grades.

Optionally, the environmental evaluation parameter may be further embodied as an environmental evaluation grade or a classification, specifically, after obtaining the module evaluation scores corresponding to the evaluation dimensions, a comprehensive evaluation score may be obtained by combining the respective evaluation weights, and further, the corresponding environmental evaluation grade or the classification may be obtained based on the corresponding module evaluation scores and the comprehensive evaluation scores. In this way, when outputting, one or more of the comprehensive evaluation score, the evaluation score of each module, the comprehensive evaluation level, and the evaluation level of each module may be used as the environmental protection evaluation parameter.

Optionally, the environmental evaluation parameter may also be embodied as a composite environment or green index; or a plurality of evaluation scores, evaluation grades or classifications and indexes.

Optionally, in the object evaluation method in the embodiment of the present specification, the generating of the green evaluation model specifically includes:

acquiring sample data corresponding to a historical evaluation object;

and training by adopting sample data to generate a green evaluation model.

It can be understood that, in order to ensure the accuracy of the environmental protection assessment parameters for implementing the assessment of the environmental protection degree of the object to be assessed, thereby ensuring the stability and accuracy of the assessment result of the environmental protection degree, a green assessment model which runs stably needs to be trained in advance. The historical evaluation object comprises sample objects with different business scales, different business properties and different environmental protection degrees, the sample data corresponding to the historical evaluation object at least comprises first historical evaluation data and second historical evaluation data which are respectively of the same type as the first evaluation data and the second evaluation data, and further comprises at least one of third historical evaluation data, fourth historical evaluation data and fifth historical evaluation data which are respectively of the same type as the third evaluation data, the fourth evaluation data and the fifth evaluation data.

Further optionally, the green evaluation model is obtained by training based on preprocessed sample data.

Of course, it is understood that, in addition to preprocessing each evaluation data before the environmental protection evaluation using the green evaluation model, preprocessing may be performed before the green evaluation model is trained based on the sample data. In order to avoid the situation that some objects have data which have great influence on the evaluation effect of the whole model due to different operation scales, operation properties, data disclosure degrees and the like of historical evaluation objects, some objects have no corresponding data or less sample data, and model parameters are dominated by data with a larger or smaller distribution range, so that the evaluation result of the trained model is unstable, normalization processing can be performed on the obtained sample data first, so that the sample data of the objects with different levels are on the same reference, and then the normalized sample data is adopted to perform green evaluation model training. Meanwhile, dimension data required by model training and environmental protection evaluation can be indirectly mined through analysis processing of various types of sample data, and missing values are completed.

Further optionally, the green evaluation model is obtained by training based on sample data after feature extraction. Optionally, the basic feature extraction may be performed on the data based on the established knowledge graph, and the feature extraction method is also applicable to the application process of the green evaluation model, so as to perform feature extraction on the object to be evaluated of the object to be evaluated. Specifically, the data preprocessing operation and the feature extraction operation may be implemented in a Perception module (persistence) part of an object evaluation system based on an existing wind control engine as shown in fig. 2, and the training process of the green evaluation model may be implemented in an intelligent Evolution (Evolution) part.

Specifically, in the embodiment of the present specification, unsupervised learning may be adopted to perform model training, so as to obtain a green evaluation model capable of outputting module evaluation parameters corresponding to different evaluation dimensions and comprehensive evaluation parameters, that is, a module evaluation model is abstracted to a modular scoring structure based on cleaning distribution of basic features and is divided into multiple dimensions, such as threshold admission, green products, green services, green awareness, green supply chain, green production, green C-side, green FTG/credibility, and the like, where the green FTG is an adjustment factor for classifying block regional green thermodynamic diagrams, industry indexes, and the like, and differential scoring of small micro-enterprises of different types, regions, and the like is enhanced. The green scoring structure based on risk quantification design has high multiplexing and expansion flexibility, and the introduction characteristics of graph relation, FTG and the like added after data accumulation can better play the application value by means of the carrier.

For unsupervised model training, training samples without concept labels (classes) need to be learned to discover structural knowledge in the training sample set. In unsupervised model training, all labels (classes) are unknown. The algorithm of the unsupervised training model may include all clustering algorithms, such as k-means, Principal Component Analysis (PCA), Gaussian Mixture Model (GMM), and so on.

Further optionally, the object evaluation method in the embodiment of the present specification may further include the following:

performing performance evaluation on the green evaluation model by adopting the verification data;

and if the performance evaluation result indicates that the green evaluation model does not meet the relevant requirements, executing a model retraining process.

It can be understood that, in order to ensure the stability and accuracy of the evaluation result of the green evaluation model, the green evaluation model may be periodically evaluated and automatically retrained based on the verification data in the sample data, except for the data used for training the green evaluation model, for example, 70% of the sample data is used for training the green evaluation model, and 30% of the sample data is used as the verification data, so as to perfect the green evaluation model by adjusting parameters such as evaluation dimension, evaluation weight, and the like.

Optionally, in the object evaluation method in the embodiment of the present specification, the step 101 may be specifically executed as: and acquiring first evaluation data corresponding to the object to be evaluated from the target BU system according to a preset evaluation period.

The step 103 may be specifically executed as: and acquiring second evaluation data of the object to be evaluated according to a preset evaluation period.

Further, the step 105 may specifically be executed as:

and inputting the to-be-evaluated data corresponding to the to-be-evaluated object, which are respectively obtained in different preset evaluation periods, into the green evaluation model to obtain the environment-friendly evaluation parameters corresponding to the preset evaluation periods.

It can be understood that the to-be-evaluated data corresponding to the to-be-evaluated object may be repeatedly acquired according to a preset evaluation period, and the evaluation result of the environmental protection degree may be repeatedly output, for example, once per hour, so that the stability and accuracy of the evaluation result of the environmental protection degree of the to-be-evaluated object may be further ensured according to the evaluation results respectively obtained in different evaluation periods. The following may be specifically implemented:

if the difference between the environment-friendly evaluation parameters corresponding to different preset evaluation periods exceeds a preset value, determining an abnormal evaluation index corresponding to the difference;

and early warning is carried out on the abnormal evaluation index.

It can be understood that, by comparing the evaluation results obtained in different evaluation periods, when the difference between the evaluation results corresponding to different preset evaluation periods exceeds a preset value, the index causing evaluation abnormality is timely pre-warned, that is, the monitoring and pre-warning of the evaluation index are realized.

Optionally, the evaluation index may correspond to the evaluation dimension, or may correspond to a feature in a specific evaluation dimension.

Further optionally, in the object evaluation method in the embodiment of the present specification, a fusing mechanism under abnormal floating may be further set to prevent an influence caused by fluctuation and missing of external data.

Optionally, the object evaluation method in the embodiment of the present specification may further include the following:

determining a target interest item matched with the environmental protection evaluation parameter according to the fitting result of the environmental protection evaluation parameter and the plurality of interest items;

configuring a target right item for an object to be evaluated;

wherein the target equity item includes at least one of an interest-free equity, a business offer equity, and a green loan equity.

It can be understood that, in order to mobilize the enthusiasm of the object to be evaluated to participate in the low-carbon environmental protection operation, a corresponding incentive mechanism can be set, specifically, different environmental protection evaluation parameters and the existing rights and interests items can be flexibly fitted, a relation graph and an expected curve between the environmental protection evaluation parameters and the specific incentive rights and interests are generated, and therefore, the adaptive target rights and interests items are configured for the object to be evaluated according to the fitting results of the environmental protection evaluation parameters and the multiple rights and interests items.

For example, for an object to be evaluated corresponding to an environmental protection evaluation parameter representing a good environmental protection practice result, one or more rights items with a greater matching incentive or benefit may be used, and correspondingly, for an object to be evaluated corresponding to an environmental protection evaluation parameter representing a medium or general environmental protection practice result, one or more rights items with a matching incentive or benefit lower than the previous level may be used, that is, the incentive is appropriately reduced. Further, for the object to be evaluated corresponding to the environmental evaluation parameter with a poor characteristic environmental practice result, a punishment mechanism of the corresponding matching strength can be adopted.

In summary, the object assessment method in the embodiment of the present specification combines rich basic dimensions such as object disclosure data to be assessed, green spying, external data supplementary verification, and text reading recommendation generation side indexes through BU data linkage, and ensures sustainable update and accurate quality of assessment dimensions and indexes, so as to cover assessment of environmental protection degree of small and micro enterprises, overcome feature deficiency caused by less active disclosure information of small and micro business households, that is, overcome data acquisition and assessment difficulties; in addition, based on perception, monitoring, feature generation recommendation, no-supervision training and other data models and overall capabilities of the existing wind control engine architecture, comprehensive environmental protection states and behaviors are quantized, environmental protection evaluation data of more small and micro enterprises are excavated, the design of modular evaluation is realized, robustness is fully considered, the missing influence of individual features is reduced, and the stability of overall evaluation is enhanced, namely based on the capability of the intelligent wind control engine, the small and micro enterprises are expanded from data acquisition, processing and processing to modular output interpretable green scores; moreover, small and micro enterprises and even more individuals are mobilized to participate by combining an incentive mechanism, the robustness of the model and the high interpretation degree of an evaluation result are improved according to different enterprise properties and external application necessity, and the grading stability and high application fitting are ensured through guarantee mechanisms such as model intellectualization, monitoring fusing and the like.

An embodiment of the present specification further provides an object evaluation apparatus, and as shown in fig. 4, the apparatus may specifically include:

a first obtaining module 201, configured to obtain first evaluation data corresponding to an object to be evaluated from a target service unit BU system, where the target BU system is composed of the object to be evaluated and a service object associated with the object to be evaluated, and the first evaluation data is used to represent a behavior related to environmental evaluation, which is generated when the object to be evaluated and the service object perform service traffic;

the second obtaining module 203 is configured to obtain second evaluation data of the object to be evaluated, where the second evaluation data is used to represent a behavior related to environmental evaluation in the operation configuration of the object to be evaluated;

the evaluation module 205 is configured to input data to be evaluated corresponding to the object to be evaluated into the green evaluation model to obtain an environmental evaluation parameter of the object to be evaluated, where the data to be evaluated includes first evaluation data and second evaluation data;

Optionally, in the object assessment apparatus in an embodiment of the present specification, the data to be assessed further includes at least one of third assessment data and fourth assessment data, where the third assessment data is used to characterize an environmental protection assessment result of a third party on the object to be assessed, and the fourth assessment data is used to characterize a behavior, related to environmental protection assessment, of a user object end associated with the object to be assessed; the sample data further comprises at least one of third history evaluation data and fourth history evaluation data, wherein the third history evaluation data is used for representing an environment-friendly evaluation result of a third party on a history evaluation object, and the fourth history evaluation data is used for representing a behavior related to environment-friendly evaluation of a user object end associated with the history evaluation object;

the object evaluation apparatus according to an embodiment of the present specification may further include:

the third obtaining module is used for obtaining at least one of third evaluation data and fourth evaluation data of the object to be evaluated to obtain the data to be evaluated of the object to be evaluated before inputting the data to be evaluated corresponding to the object to be evaluated to the green evaluation model to obtain the environmental protection evaluation parameters of the object to be evaluated.

Optionally, in the object evaluation device in the embodiment of the present specification, the data to be evaluated further includes fifth evaluation data, where the fifth evaluation data is used to characterize a risk degree of the object to be evaluated; the sample data also comprises fifth historical evaluation data, and the fifth historical evaluation data is used for representing the risk degree of a historical evaluation object;

the fourth obtaining module is used for obtaining fifth evaluation data of the object to be evaluated to obtain the data to be evaluated of the object to be evaluated before inputting the data to be evaluated corresponding to the object to be evaluated to the green evaluation model to obtain the environmental protection evaluation parameters of the object to be evaluated.

Optionally, in the object evaluation apparatus in an embodiment of the present specification, the first evaluation data includes service data related to an object to be evaluated in the business object; the second evaluation data includes business qualification data, environmental compliance data, product service data and production supply data which are publicly disclosed by the object to be evaluated.

Optionally, in the object evaluation apparatus according to an embodiment of the present specification, the third evaluation data includes data in an environmental evaluation report issued by a third party; the fourth evaluation data comprises the behavior data of the internal employee object side and the behavior data of the external user object side.

Optionally, in the object evaluation device in the embodiment of the present specification, the fifth evaluation data includes transaction and fund risk identification data of the object to be evaluated.

Optionally, in the object evaluation apparatus in an embodiment of the present specification, the environmental evaluation parameter includes at least one of a comprehensive evaluation parameter and a module evaluation parameter corresponding to a target evaluation dimension;

Optionally, the object evaluation apparatus according to an embodiment of the present specification may further include:

the first determination module is used for determining a target interest item matched with the environmental protection evaluation parameter according to the fitting result of the environmental protection evaluation parameter and the plurality of interest items;

the configuration module is used for configuring a target interest item for the object to be evaluated;

Optionally, in the object evaluation apparatus in the embodiment of the present specification, the evaluation module 205 may be specifically configured to:

inputting the to-be-evaluated data corresponding to the to-be-evaluated object respectively acquired in different preset evaluation periods into a green evaluation model to obtain environment-friendly evaluation parameters corresponding to the preset evaluation periods;

the second determination module is used for determining an abnormal evaluation index corresponding to the difference under the condition that the difference between the environment-friendly evaluation parameters corresponding to different preset evaluation periods exceeds a preset value;

and the early warning module is used for early warning the abnormal evaluation index.

It can be understood that the object evaluation device provided in the embodiments of the present specification can implement the object evaluation method provided in the foregoing embodiments, and the related explanations about the object evaluation method are applicable to the object evaluation device, and are not described herein again.

Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. Referring to fig. 5, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.

The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 5, but this does not indicate only one bus or one type of bus.

And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.

The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the object evaluation device on the logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:

acquiring first evaluation data corresponding to an object to be evaluated from a target service unit BU system, wherein the target BU system is composed of the object to be evaluated and a service object which is in service association with the object to be evaluated, and the first evaluation data is used for representing a behavior which is generated when the object to be evaluated and the service object carry out service traffic and is related to environmental protection evaluation;

inputting the data to be evaluated corresponding to the object to be evaluated into a green evaluation model to obtain environment-friendly evaluation parameters of the object to be evaluated, wherein the data to be evaluated comprises first evaluation data and second evaluation data;

The method performed by the object evaluation apparatus according to the embodiment shown in fig. 1 of the present specification can be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present specification may be embodied directly in a hardware decoding processor, or in a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

In the embodiment of the present specification, when the environmental protection degree of the object to be evaluated is evaluated, at least second evaluation data of the object to be evaluated, which can represent behaviors related to environmental protection evaluation in the operation configuration of the object to be evaluated, is needed, where the second evaluation data can be directly obtained in a public manner and can ensure normal operation of the object to be evaluated. Further, first evaluation data capable of representing behaviors related to environmental evaluation generated when the object to be evaluated performs a specific service is obtained from a target BU system formed by the object to be evaluated and a service object associated with the service existing in the object to be evaluated, wherein the specific service can refer to the traffic between the object to be evaluated and other service objects in the target BU system. And then, inputting the acquired data serving as the data to be evaluated of the object to be evaluated into a pre-trained green evaluation model for automatic and intelligent data processing and analysis so as to quickly and accurately obtain an environmental protection evaluation parameter which can intuitively and quantitatively represent the environmental protection degree of the object to be evaluated. Therefore, the dimensionality of original assessment data used for environmental protection assessment is enriched, so that environmental protection assessment is carried out on an object to be assessed in a more comprehensive angle, the stability and accuracy of an assessment result of the environmental protection degree can be ensured, the object assessment scheme in the embodiment is better in universality, wider in application range and higher in coverage rate, assessment of the environmental protection degree of a large enterprise can be achieved, and assessment of the environmental protection degree of a small enterprise can be achieved.

The electronic device may further execute the method executed by the object evaluation apparatus in fig. 1, and implement the functions of the object evaluation apparatus in the embodiment shown in fig. 1, which are not described herein again in this specification.

Embodiments of the present specification also provide a computer-readable storage medium storing one or more programs, where the one or more programs include instructions, which, when executed by an electronic device including a plurality of application programs, enable the electronic device to perform the method performed by the object evaluation apparatus in the embodiment shown in fig. 1, and are specifically configured to perform:

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both permanent and non-permanent, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The above description is only an example of the present disclosure, and is not intended to limit the present disclosure. Various modifications and variations to the embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present specification should be included in the scope of the claims of the embodiments of the present specification.

Claims

1. A method of evaluating a subject, the method comprising:

acquiring first evaluation data corresponding to an object to be evaluated from a target service unit (BU) system, wherein the target BU system is composed of the object to be evaluated and a service object which is in service association with the object to be evaluated, and the first evaluation data is used for representing a behavior which is generated when the object to be evaluated and the service object carry out service traffic and is related to environmental protection evaluation; the first evaluation data comprises service data related to the object to be evaluated in the business object, and the service data is derived from related business transaction records reserved by the business object;

2. The method according to claim 1, wherein the data to be evaluated further comprises at least one of third evaluation data and fourth evaluation data, the third evaluation data is used for characterizing environmental protection evaluation results of a third party on the object to be evaluated, and the fourth evaluation data is used for characterizing behaviors related to environmental protection evaluation of a user object end associated with the object to be evaluated;

the sample data further comprises at least one of third history evaluation data and fourth history evaluation data, the third history evaluation data is used for representing the environmental protection evaluation result of a third party on the history evaluation object, and the fourth history evaluation data is used for representing the behavior related to the environmental protection evaluation of a user object end associated with the history evaluation object;

before the data to be evaluated corresponding to the object to be evaluated is input to a green evaluation model to obtain an environmental protection evaluation parameter of the object to be evaluated, the method further includes:

3. The method according to claim 1 or 2, wherein the data to be evaluated further comprises fifth evaluation data for characterizing a degree of risk of the subject to be evaluated;

the sample data also comprises fifth historical evaluation data, and the fifth historical evaluation data is used for representing the risk degree of the historical evaluation object;

and acquiring the fifth evaluation data of the object to be evaluated to obtain the data to be evaluated of the object to be evaluated.

4. The method according to claim 1 or 2, wherein the second evaluation data comprises business qualification data, environmental compliance status data, product service data and production supply data publicly disclosed by the subject to be evaluated.

5. The method of claim 2, the third assessment data comprising data in an environmental assessment report issued by a third party;

the fourth evaluation data comprises behavior data of an internal employee object side and behavior data of an external user object side.

6. The method of claim 3, the fifth assessment data comprising transaction and fund risk identification data for the subject to be assessed.

7. The method of claim 1, wherein the environmental assessment parameters include at least one of a composite assessment parameter and a module assessment parameter corresponding to a target assessment dimension;

8. The method of claim 7, further comprising:

determining a target interest item matched with the environmental protection evaluation parameter according to the fitting result of the environmental protection evaluation parameter and a plurality of interest items;

configuring the target rights and interests item for the object to be evaluated;

9. The method according to claim 1, wherein the inputting the data to be evaluated corresponding to the object to be evaluated into a green evaluation model to obtain the environmental protection evaluation parameter of the object to be evaluated comprises:

inputting the to-be-evaluated data corresponding to the to-be-evaluated object, which are respectively obtained in different preset evaluation periods, into the green evaluation model to obtain environment-friendly evaluation parameters corresponding to the preset evaluation periods;

wherein the method further comprises:

and early warning is carried out on the abnormal evaluation index.

10. A subject evaluation apparatus, the apparatus comprising:

the system comprises a first acquisition module, a first evaluation module and a second acquisition module, wherein the first acquisition module is used for acquiring first evaluation data corresponding to an object to be evaluated from a target service unit (BU) system, the target BU system is composed of the object to be evaluated and a service object associated with the object to be evaluated in service, and the first evaluation data is used for representing behaviors which are generated when the object to be evaluated and the service object carry out service traffic and are related to environmental protection evaluation; the first evaluation data comprises service data related to the object to be evaluated in the business object, and the service data is derived from related business transaction records reserved by the business object;

11. An electronic device, comprising:

a processor; and

acquiring first evaluation data corresponding to an object to be evaluated from a target service unit (BU) system, wherein the target BU system is composed of the object to be evaluated and a service object which is in service association with the object to be evaluated, and the first evaluation data is used for representing a behavior which is generated when the object to be evaluated and the service object carry out service traffic and is related to environmental protection evaluation; the first evaluation data comprises service data related to the object to be evaluated in the business object, and the service data is derived from related business transaction records reserved by the business object; acquiring second evaluation data of the object to be evaluated, wherein the second evaluation data is used for representing behaviors related to environmental protection evaluation in the operation configuration of the object to be evaluated;

12. A computer-readable storage medium storing one or more programs that, when executed by an electronic device including a plurality of application programs, cause the electronic device to: