Low-carbon park multi-dimensional evaluation method and system

Abstract

The application discloses a kind of low-carbon park multidimensional evaluation method and system, comprising: the first evaluation index system based on target low-carbon park is constructed and the first scoring standard for target low-carbon park first evaluation index system;Based on the first preset empowerment logic, the first preset empowerment model based on the first evaluation index system is established;According to the first preset empowerment model, the first target efficiency of the first evaluation index system is obtained, and the multidimensional evaluation of low-carbon park is carried out according to the first target efficiency.The proposed method can effectively evaluate the comprehensive development efficiency of low-carbon park, and provide benchmark reference for the efficiency improvement of low-carbon park, low-carbon building and other application objects in energy utilization, economic development, environmental protection and other aspects.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of low-carbon park evaluation, and particularly relates to a low-carbon park multi-dimensional evaluation method and system. BACKGROUND

[0002] With the global emphasis on environmental protection and sustainable development, the construction and management of low-carbon parks have become an important issue. However, how to scientifically and comprehensively evaluate the comprehensive performance of low-carbon parks is a problem to be solved. Traditional evaluation methods often focus on single-dimensional consideration, such as carbon emissions, energy utilization efficiency, etc., and are difficult to comprehensively reflect the overall situation of low-carbon parks. At present, the low-carbon park structure is complex and has obvious multi-dimensional coupling characteristics, and its evaluation faces challenges such as multiple scenes, complex dimensions, and inconsistent subjects, which further leads to problems such as complicated evaluation indexes, inconsistent and non-standard evaluation scoring criteria. In terms of evaluation methods, traditional evaluation methods are highly subjective and have low comprehensive indexes, and are still at the theoretical level, and the practicality of supporting specific case landing is difficult to verify. Therefore, it still faces severe challenges to systematically and comprehensively build a multi-attribute evaluation index system and innovate multi-criteria comprehensive evaluation methods.

[0003] Therefore, how to build an evaluation index system covering the overall economic cost, energy efficiency, carbon emission level, etc. of the park, propose a reasonable and effective low-carbon scheme optimization evaluation method, and conduct empirical application to actual cases will have important theoretical and practical guiding significance for the future development of low-carbon park energy supply resource optimization configuration mode. SUMMARY

[0004] This section aims to summarize some aspects of the embodiments of the present application and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of the specification to avoid obscuring the purpose of this section, abstract and title, and such simplifications or omissions cannot be used to limit the scope of the present application.

[0005] In view of the above-mentioned existing problems, the present application is proposed.

[0006] Therefore, the present application provides a low-carbon park multi-dimensional evaluation method and system, which can solve the problems mentioned in the background art.

[0007] To solve the above technical problems, the present application provides the following technical solutions:

[0008] In a first aspect, the present application provides a low-carbon park multi-dimensional evaluation method, comprising:

[0009] building a first evaluation index system based on a target low-carbon park and a first scoring standard for the first evaluation index system of the target low-carbon park;

[0010] According to the first preset weighting logic, a first preset weighting model based on the first evaluation index system is established.

[0011] According to the first preset weighting model, a first target efficiency of the first evaluation index system is obtained, and multi-dimensional evaluation of the low-carbon park is performed according to the first target efficiency.

[0012] As a preferred scheme of the multi-dimensional evaluation method of the low-carbon park, the first target efficiency of the first evaluation index system is obtained according to the first preset weighting model, and the multi-dimensional evaluation of the low-carbon park is performed according to the first target efficiency.

[0013] The index values of the first evaluation index system in the target low-carbon park are obtained.

[0014] The index values are input into the first preset weighting model to obtain corresponding weight values of different indexes.

[0015] The first target function under the corresponding weight values of different indexes is constructed, and the first target efficiency is solved according to the first target function.

[0016] As a preferred scheme of the multi-dimensional evaluation method of the low-carbon park, the multi-dimensional evaluation of the low-carbon park is performed according to the first target efficiency, which includes:

[0017] According to the first target efficiency, the first target score under the corresponding low-carbon park development stage is obtained by combining the first scoring standard of the first evaluation index system of the target low-carbon park.

[0018] The multi-dimensional evaluation of the low-carbon park is performed according to the first target score.

[0019] As a preferred scheme of the multi-dimensional evaluation method of the low-carbon park, the first evaluation index system includes: a plurality of preset evaluation criteria based on the target low-carbon park.

[0020] The preset evaluation criteria based on the target low-carbon park at least include criteria for emission reduction source control and criteria for carbon sink.

[0021] As a preferred scheme of the multi-dimensional evaluation method of the low-carbon park, the low-carbon park development stage includes: a first existing design stage, a second comprehensive energy development stage, and a third special improvement measure implementation stage.

[0022] As a preferred scheme of the multi-dimensional evaluation method of the low-carbon park, the preset evaluation criteria based on the target low-carbon park include: different preset evaluation criteria based on the target low-carbon park each contain a plurality of specific evaluation indexes.

[0023] As a preferred scheme of the low-carbon park multi-dimensional evaluation method, the preset evaluation criteria based on the target low-carbon park further comprises:

[0024] Different specific evaluation indexes are assigned different scoring standards;

[0025] Different scoring standards of different specific evaluation indexes constitute the first scoring standard.

[0026] In a second aspect, the present application provides a low-carbon park multi-dimensional evaluation system, comprising:

[0027] A system construction module is configured to construct a first evaluation index system based on a target low-carbon park and a first scoring standard for the first evaluation index system of the target low-carbon park;

[0028] A model construction module is configured to establish a first preset weighting model based on the first evaluation index system based on a first preset weighting logic;

[0029] An evaluation module is configured to obtain a first target efficiency of the first evaluation index system according to the first preset weighting model, and perform low-carbon park multi-dimensional evaluation according to the first target efficiency.

[0030] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method as described above when executing the computer program.

[0031] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the method as described above.

[0032] Compared with the prior art, the present application has the following advantages: the present application proposes a low-carbon park multi-dimensional evaluation method and system, constructs a first evaluation index system based on a target low-carbon park and a first scoring standard for the first evaluation index system of the target low-carbon park, establishes a first preset weighting model based on the first evaluation index system based on a first preset weighting logic, obtains a first target efficiency of the first evaluation index system according to the first preset weighting model, and performs low-carbon park multi-dimensional evaluation according to the first target efficiency. The proposed method can effectively evaluate the comprehensive development efficiency of low-carbon parks, and provide benchmarking reference for the efficiency improvement of low-carbon parks, low-carbon buildings and other application objects in terms of energy utilization, economic development, environmental protection and the like. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without any creative labor. Among them:

[0034] Figure 1 The method flow chart of the low-carbon park multi-dimensional evaluation method and system provided by an embodiment of the present application;

[0035] Figure 2 The low-carbon park evaluation final total score efficiency result schematic diagram of the low-carbon park multi-dimensional evaluation method and system provided by an embodiment of the present application;

[0036] Figure 3 The final score situation schematic diagram of each energy consumption building of the low-carbon park multi-dimensional evaluation method and system provided by an embodiment of the present application;

[0037] Figure 4 The internal structure diagram of the computer device of the low-carbon park multi-dimensional evaluation method and system provided by an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative labor should be within the protection scope of the present application.

[0039] Embodiment 1

[0040] Reference Figures 1-4 For the first embodiment of the present application, the embodiment provides a low-carbon park multi-dimensional evaluation method and system, which comprises:

[0041] Before the embodiments of the present application are described in detail, in order to be clear, some related concepts will be explained first.

[0042] Low-carbon park multi-dimensional evaluation: the low-carbon park multi-dimensional evaluation refers to a method of comprehensively evaluating the low-carbon park from multiple dimensions. Such evaluation not only focuses on the performance of a single aspect, but also covers various aspects of the park in low-carbon development, such as emission reduction source control, carbon sink capacity, operation management, culture creation and multiple dimensions. Such evaluation system can more comprehensively reflect the actual situation of the park in energy saving and emission reduction and promoting green development.

[0043] Emission reduction source control: This refers to the process of managing and controlling various sources of greenhouse gas emissions within the park. It includes measures such as reducing the total amount of carbon emissions within the park, reducing per capita carbon emissions, increasing the proportion of renewable energy use, adding new energy vehicle charging facilities, and increasing the proportion of green power procurement. These actions are aimed at reducing greenhouse gas emissions generated during the operation of the park, thereby achieving a more environmentally friendly goal.

[0044] Carbon sequestration: Carbon sequestration refers to the process of increasing the capacity of carbon sinks through natural or artificial means, thereby absorbing carbon dioxide or other greenhouse gases from the atmosphere. In the context of a low-carbon park, this typically refers to increasing the area of green coverage, such as planting more trees and other plants, and offsetting the park's own carbon emissions through the purchase of certified voluntary emission reductions. These strategies help mitigate the effects of climate change, as plants can absorb CO2 and fix it in biological bodies, while emission reductions represent the emission reduction achievements of external projects and can be used to offset the carbon footprint of the park.

[0045] In the prior art, the low-carbon park multi-dimensional evaluation system often lacks comprehensiveness and flexibility, and cannot accurately reflect the low-carbon effectiveness of the park at different development stages.

[0046] The present application provides a method that can effectively solve the above-mentioned problems, and the following will be described in detail how to realize the low-carbon park multi-dimensional evaluation method combined with multiple embodiments;

[0047] Figure 1 A method flowchart of a low-carbon park multi-dimensional evaluation method and system is shown, including:

[0048] S101, constructing a first evaluation index system based on a target low-carbon park and a first scoring standard for the first evaluation index system of the target low-carbon park;

[0049] In the embodiments of the present application, the first evaluation index system includes: a plurality of preset evaluation criteria based on the target low-carbon park;

[0050] In an optional embodiment, the preset evaluation criteria based on the target low-carbon park can include emission reduction source control criteria, carbon sequestration criteria, operation management criteria, culture creation criteria, and additional scoring criteria. Related technical personnel can preset specific evaluation criteria according to specific circumstances, for example, when the technical personnel only need to consider criteria related to "carbon", they only need to consider emission reduction source control criteria and carbon sequestration criteria. When operation management criteria need to be added, only three criteria of emission reduction source control criteria, carbon sequestration criteria, and operation management criteria are considered as the first evaluation index system.

[0051] In the embodiments of the present application, the emission reduction source control criterion, the carbon increment criterion, the operation management criterion, the culture creation criterion, and the additional score criterion are selected in order to make the evaluation more comprehensive and meet the actual development needs of the low-carbon park. The additional score criterion is set in order to encourage the outstanding performance of the park in energy saving and emission reduction, environmental protection innovation, and the like, and to improve the enthusiasm of the park in low-carbon development.

[0052] It should be noted that the criteria included in the first evaluation index system are not limited to the above-mentioned several criteria, and other criteria can be selected and added according to the specific circumstances, for example, when a low-carbon park pays special attention to water resource recycling, "water resource management" can be added as an additional evaluation criterion. These evaluation criteria together constitute the basic framework of the multi-dimensional evaluation of the low-carbon park, making the evaluation results more comprehensive and objective. For example, when a low-carbon park has a breakthrough in green building, a "green building" evaluation criterion can be added to highlight its contribution in this field. The setting of these evaluation criteria aims to reflect the actual development of the low-carbon park from multiple dimensions and in all directions.

[0053] In the embodiments of the present application, the preset evaluation criteria based on the target low-carbon park at least include criteria for emission reduction source control and criteria for carbon increment.

[0054] It should be noted that the preset evaluation criteria in the present application at least include criteria for emission reduction source control and criteria for carbon increment, and the purpose of the present application is to evaluate the low-carbon park, so the criteria related to "carbon" must be included, and therefore the evaluation system particularly focuses on the core characteristics of the low-carbon park, that is, its performance in reducing carbon emissions and increasing carbon sinks.

[0055] In the embodiments of the present application, the preset evaluation criteria based on the target low-carbon park include that different preset evaluation criteria based on the target low-carbon park each contain a plurality of specific evaluation indexes.

[0056] In the embodiments of the present application, when the emission reduction source control criterion, the carbon increment criterion, the operation management criterion, the culture creation criterion, and the additional score criterion are selected as the first evaluation index system, the evaluation indexes corresponding to different criteria are different. For example, in the embodiments of the present application, the total carbon emission index, the carbon emission per capita index, the renewable energy consumption proportion index, the new energy vehicle charging and swapping facility index, and the green power purchase proportion index are considered in the emission reduction source control criterion, the green coverage rate index and the carbon emission offsetting index by purchasing certified voluntary emission reduction are considered in the carbon increment criterion, the carbon emission management system index and the carbon emission monitoring system index are considered in the operation management criterion, the low-carbon publicity and education index and the office energy saving index are considered in the culture creation criterion, and the green building (two-star and above) certification index, the carbon neutral certification index, and the energy saving investment recovery period index are considered in the additional score criterion.

[0057] For example, when the emission reduction source control criterion, the carbon increment criterion, the operation management criterion, the culture creation criterion, and the additional score criterion are selected as the first evaluation index system, the indexes can be quantitatively described as the following calculation model:

[0058] The total carbon emission index calculation model is:

[0059]

[0060] wherein, represents the total carbon emission, represents the carbon emission factor of the energy-using equipment i, represents the output power of the energy-using equipment i.

[0061] Further, the carbon emission per capita index calculation model is:

[0062]

[0063] wherein, represents the carbon emission per capita, and S represents the total number of people in the park.

[0064] Further, the renewable energy consumption proportion index calculation model is:

[0065]

[0066] wherein, represents the renewable energy consumption proportion, represents the renewable energy consumption amount, represents the total energy consumption amount.

[0067] Further, the new energy vehicle charging and swapping facility index calculation model is:

[0068]

[0069] wherein, represents the proportion of new energy automobile charging and replacing facilities, represents the new energy automobile charging and replacing facility parking space, represents the total parking space.

[0070] Further, the green power purchase proportion index calculation model is:

[0071]

[0072] wherein, represents the proportion of green power in the purchased power, represents the total amount of green power purchased, represents the total amount of purchased power.

[0073] Further, the green coverage index calculation model is:

[0074]

[0075] wherein, represents the green coverage rate, represents the green coverage area, represents the total area.

[0076] Further, the carbon emission offsetting index calculation model by purchasing certified voluntary emission reduction and other means is:

[0077]

[0078] wherein, represents the proportion of purchased certified voluntary emission reduction, represents the purchased certified voluntary emission reduction.

[0079] Further, the carbon emission management system and carbon emission monitoring system qualitative indicators in the operation and management criteria are measured by whether a carbon emission management system has been established and a carbon emission monitoring system has been introduced.

[0080] Further, the low-carbon publicity and education and office energy saving qualitative indicators in the culture creation criteria are measured by whether low-carbon publicity and education activities have been carried out and office energy saving means have been improved.

[0081] Further, the green building (two-star and above rating) certification, carbon neutral certification, and energy saving investment recovery period qualitative indicators in the additional points criteria are measured by whether a green building (two-star and above rating) certification has been obtained, a carbon neutral certification has been obtained, and the energy saving investment recovery period is less than 10 years.

[0082] In an optional embodiment, the emission reduction source control criteria can also consider more specific indicators, such as carbon emissions per unit of output value, carbon emission intensity reduction rate, etc., to more accurately measure the effectiveness of the park in reducing carbon emissions. These indicators can reflect the carbon emission efficiency of the park in different economic activities, providing more detailed emission reduction strategy reference for park managers.

[0083] In an optional embodiment, in terms of carbon sequestration criteria, in addition to green coverage rate and purchase of certified voluntary emission reduction, indicators such as tree species diversity and carbon sequestration project sustainability can also be considered. These indicators can assess the long-term potential and stability of carbon sequestration in the park, ensuring the continuous growth of carbon sequestration capacity.

[0084] In an optional embodiment, in terms of operation management criteria, in addition to carbon emission management system and monitoring system, indicators such as energy audit and energy-saving and emission-reducing technology application can also be added. These indicators can reflect the energy-saving and emission-reducing measures and effectiveness of the park in the process of operation management, promoting the improvement of the park management level.

[0085] In an optional embodiment, in terms of culture creation criteria, in addition to low-carbon propaganda and education and office energy saving, indicators such as employee low-carbon behavior training and low-carbon cultural activities can also be considered. These indicators can evaluate the park's efforts in creating a low-carbon cultural atmosphere and enhance the employees' low-carbon awareness and participation.

[0086] In an optional embodiment, in terms of additional bonus criteria, indicators such as green building certification and carbon neutral certification can encourage the park's outstanding performance in energy-saving and emission-reducing and environmental protection innovation. At the same time, indicators such as environmental protection technology innovation and energy-saving and emission-reducing project award can also be considered to comprehensively reflect the park's contribution and achievements in low-carbon development.

[0087] In an optional embodiment, if "water resource management" is added as an additional evaluation criterion, i.e., six criteria are selected as the first evaluation index system, the water resource management criteria can consider indicators such as water recycling rate, rainwater collection utilization rate, and water-saving appliance popularization rate. These indicators can comprehensively reflect the effectiveness and efficiency of the park in water resource management, promoting the continuous improvement of the park in water resource conservation and recycling.

[0088] In the embodiments of the present application, the preset evaluation criteria based on the target low-carbon park further include:

[0089] Different specific evaluation indicators are assigned different scoring standards;

[0090] The different scoring standards of different specific evaluation indicators constitute the first scoring standard.

[0091] For example, the first scoring standard in the multi-dimensional evaluation of low-carbon parks can be as follows:

[0092]

[0093]

[0094] In an optional embodiment, different technicians or users can design other score standards according to actual needs. For example, when only considering the emission reduction source control criterion and the carbon increment criterion, the emission reduction source control criterion can be assigned 70 points, and the carbon increment criterion can be assigned 30 points. Similar score assignment rules based on the mode of the present application should be within the protection scope of the present application.

[0095] It should be noted that the low-carbon park multi-dimensional evaluation system can flexibly adjust the evaluation indexes and their scoring standards to adapt to the specific needs of different parks or users. By refining the specific indexes under each criterion and assigning them corresponding scores, the system can comprehensively and objectively evaluate the performance of the park in low-carbon development, providing scientific decision-making basis for park managers. At the same time, the system is also extensible, and can continuously adjust and improve the evaluation index system as the park's low-carbon development work deepens and new technologies and methods emerge, ensuring the accuracy and timeliness of the evaluation.

[0096] S102, based on a first preset weighting logic, a first preset weighting model based on a first evaluation index system is established;

[0097] In the embodiments of the present application, the first preset weighting logic is a weighting logic for assigning weights to the above-mentioned indexes. This part of the weighting logic is an objective weighting method. In the present application, projection pursuit method can be used as the first preset weighting logic. Projection pursuit method is a multi-dimensional data statistical analysis method and a data-driven objective weighting method. Projection pursuit method associates each direction in multi-dimensional space with an index that measures its "usefulness" as a projection axis, and then changes the projection direction to maximize the index. Once the optimal projection index of an evaluated object is found, the weight of the best projection direction of each criterion in the evaluation model is determined.

[0098] In the embodiments of the present application, the jth index value of the ith evaluated object (i.e. criterion) is Let represent n projection directions, which is equal to the weight of each criterion. The projection value of the evaluated object i can be represented as:

[0099]

[0100] wherein, represents the projection value of the evaluated object i (i.e. the first preset weighting model), represents the weight of the index j under the evaluated object.

[0101] It should be noted that the calculation result of the projection pursuit method depends on the projection function. In order to objectively reflect the weight of each criterion, realize the significant characteristics of local concentration and global expansion, a reasonable and classic projection index optimization model is proposed:

[0102]

[0103]

[0104] wherein, is the standard deviation of the projection value, is the "local density" of the point projected onto the projection axis, is the distance between points s and t, is the local density of the window radius related to the structure of the sample data, usually n = n, n is the number of criteria to be evaluated. is the unit step function.

[0105] It should be noted that through the above model, the weight of each evaluation object (criterion) in the multi-dimensional evaluation system can be calculated. This step is a key link to ensure the objectivity and accuracy of the evaluation system. The determination of the weight not only depends on the index value itself, but also is optimized through the scientific method of projection pursuit, to ensure that the weight distribution can truly reflect the importance of each criterion in the development of low-carbon park.

[0106] In an optional embodiment, common subjective or objective weight determination methods such as AHP (analytic hierarchy process), entropy weight method, fuzzy comprehensive evaluation method, etc. can also be selected, or determined comprehensively according to expert opinions and actual situations. Through such a weighting model, the weight of each evaluation index in the overall evaluation can be ensured to be reasonable, so as to obtain a more objective and scientific evaluation result.

[0107] It should be noted that the advantage of step S102 is that the weight of the evaluation index can be determined based on a scientific method, avoiding the deviation caused by subjective judgment. Through the projection pursuit method, the weight of each criterion can be objectively reflected, ensuring the accuracy and fairness of the evaluation system. At the same time, this method has flexibility and scalability, which can be adjusted and improved according to the specific needs of different parks or users. In addition, step S102 also embodies the guiding role of the evaluation system in the development of low-carbon park, through reasonable weight distribution, guiding park managers to focus on key areas of low-carbon development, and promoting the in-depth implementation of low-carbon development of the park.

[0108] S103, obtaining a first target efficiency of a first evaluation index system according to a first preset weighting model, and performing multi-dimensional evaluation of the low-carbon park according to the first target efficiency.

[0109] In the embodiments of the present application, the first target efficiency of the first evaluation index system is obtained according to the first preset weighting model, which comprises:

[0110] The index values of the first evaluation index system in the target low-carbon park are obtained.

[0111] The index values are input into the first preset weighting model to obtain the corresponding weight values of different indexes.

[0112] The first objective function under the corresponding weight values of different indexes is constructed, and the first target efficiency is solved according to the first objective function.

[0113] In the embodiments of the present application, the specific index values can be obtained according to the formula for solving the first evaluation index system in the target low-carbon park mentioned above, and the specific index values are input into the first preset weighting model to obtain the corresponding weight values of different indexes.

[0114] In the embodiments of the present application, the first objective function is a weight optimization model with the maximum efficiency value as the target, the optimal weight of each index can be solved, and the weights of various indexes are determined through the optimization model. The present application uses data envelopment analysis method for analysis.

[0115] For example, taking the system j to be evaluated as an example, the DEA (Data Envelopment Analysis) optimization model can be expressed as:

[0116]

[0117] wherein, is the weight of the mth input type index, is the weight of the kth output type index, is the value of the mth input type index of the evaluation object j, is the value of the kth output type index of the evaluation object j, M is the total number of input type indexes, K is the total number of output type indexes, and N is the evaluation object set.

[0118] Specifically, the model is converted into the following linear form through Charnes-Cooper transformation:

[0119]

[0120] wherein, is the relative efficiency value (i.e. the first target efficiency) of the evaluation object j.

[0121] In an optional embodiment, the first target function can also be designed using other methods, such as TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), grey correlation method, etc. These methods have their own characteristics and can be selected according to actual conditions and evaluation goals. The TOPSIS method ranks the relative closeness of each evaluation object to the ideal solution and the negative ideal solution, which is suitable for multi-objective decision analysis. The grey correlation method determines the weight by calculating the correlation between each evaluation object and the reference sequence, which is suitable for incomplete or uncertain information. By reasonably selecting the design method of the first target function, the accuracy and reliability of the multi-dimensional evaluation of low-carbon parks can be further improved. At the same time, no matter which method is used, the transparency and repeatability of the evaluation process should be ensured so that other researchers or stakeholders can verify and evaluate the results. On this basis, low-carbon park managers can develop appropriate low-carbon development strategies based on the evaluation results to promote the in-depth implementation of low-carbon development in the park.

[0122] In the embodiments of the present application, the multi-dimensional evaluation of the low-carbon park according to the first target efficiency includes:

[0123] Based on the first target efficiency, the first target score corresponding to the development stage of the low-carbon park is obtained in combination with the first scoring standard for the first evaluation index system of the target low-carbon park.

[0124] The multi-dimensional evaluation of the low-carbon park is performed according to the first target score.

[0125] In the embodiments of the present application, the development stage of the low-carbon park includes: the first existing design stage, the second comprehensive energy development stage, and the third special improvement measure implementation stage. The following table shows different score standards for different stages.

[0126]

[0127] It should be noted that the first existing design stage score, the second comprehensive energy development stage score, and the third special improvement measure implementation stage score in the above table are all total scores. The final first target score also needs to be obtained based on the first target efficiency in combination with the first scoring standard for the first evaluation index system of the target low-carbon park.

[0128] In summary, the present application provides a low-carbon park multi-dimensional evaluation method, a first evaluation index system based on a target low-carbon park and a first scoring standard for the first evaluation index system of the target low-carbon park are constructed; a first preset empowerment model based on the first evaluation index system is established based on a first preset empowerment logic; a first target efficiency of the first evaluation index system is obtained according to the first preset empowerment model, and multi-dimensional evaluation of the low-carbon park is performed according to the first target efficiency. The method can effectively evaluate the comprehensive development efficiency of the low-carbon park, and provide benchmarking reference for the efficiency improvement of application objects such as low-carbon parks and low-carbon buildings in terms of energy utilization, economic development, environmental protection, etc.

[0129] The embodiment also provides a low-carbon park multi-dimensional evaluation system, comprising:

[0130] The system construction module is configured to construct a first evaluation index system based on a target low-carbon park and a first scoring standard for the first evaluation index system of the target low-carbon park;

[0131] The model construction module is configured to establish a first preset empowerment model based on the first evaluation index system based on a first preset empowerment logic;

[0132] The evaluation module is configured to obtain a first target efficiency of the first evaluation index system according to the first preset empowerment model, and perform multi-dimensional evaluation of the low-carbon park according to the first target efficiency.

[0133] The above-mentioned each unit module can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to call and execute the operation corresponding to each module by the processor.

[0134] The embodiment also provides a computer device, which can be a terminal, and the internal structure diagram thereof can be as shown in Figure 4As shown in the figure. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capability. The memory of the computer device includes a non-volatile storage medium, an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used for wired or wireless communication with external terminals. Wireless mode can be achieved through WIFI, operator network, NFC (near field communication) or other technologies. The computer program is executed by the processor to implement a low-carbon park multi-dimensional evaluation method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad provided on the shell of the computer device. It can also be an external keyboard, touchpad or mouse, etc.

[0135] The embodiment also provides a computer readable storage medium having a computer program stored thereon, and the computer program is executed by a processor to implement the following steps:

[0136] A first evaluation index system based on the target low-carbon park and a first scoring standard for the first evaluation index system of the target low-carbon park are constructed;

[0137] A first preset weighting model based on the first evaluation index system is established based on a first preset weighting logic;

[0138] The first target efficiency of the first evaluation index system is obtained according to the first preset weighting model, and the low-carbon park multi-dimensional evaluation is performed according to the first target efficiency.

[0139] Embodiment 2

[0140] Reference Figures 2-3 For an embodiment of the present application, a low-carbon park multi-dimensional evaluation method and system are provided. In order to verify the beneficial effects of the present application, scientific demonstration is carried out through experiments.

[0141] In this embodiment, the multi-dimensional evaluation of the building object with self-scoring in the low-carbon park is carried out by using 7 energy-consuming building objects in a low-carbon park, including a metering center experimental building, a scientific research building and an experimental building, a metering center production building, a high-voltage hall, a welfare housing, an academic activity building and a comprehensive service building, and a canteen comprehensive building. The score results of the corresponding low-carbon park building objects with self-scoring are shown in the following table:

[0142]

[0143]

[0144] Figure 2 The first existing design stage score, the second comprehensive energy development stage score, and the third special improvement measure implementation stage score of each energy consumption building are depicted. It can be seen that in the second comprehensive energy development stage and the third special improvement measure implementation stage, the scores of different buildings increase to different degrees. The production building of the measurement center still has a low score of 0.15 in the emission reduction source control due to the limited distributed energy development. The experimental building and the research building of the measurement center have a large increase in the emission reduction source control (the evaluation value is from 0.2 to 0.89 and from 0.2 to 0.92) and carbon sink (the evaluation value is from 0.53 to 0.87 and from 0.53 to 0.87).

[0145] Figure 3 The final scores of each energy consumption building are shown. The experimental building and the research building of the measurement center and the experimental building have a large increase in the second comprehensive energy development stage and the third special improvement measure implementation stage, and can be used as a low-carbon park scale demonstration area. Both of them have good carbon reduction potential.

[0146] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application rather than limiting the present application. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present application, and all of them should be covered in the scope of the claims of the present application.

[0147] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can be in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer usable program code. The solutions in the embodiments of the present application can be implemented in various computer languages, such as object-oriented programming language Java and interpreted scripting language JavaScript.

[0148] The computer program instructions can 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 block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0149] These computer program instructions can 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 instructions which implement the function specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0150] The computer program instructions can 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 block or blocks. Figure 1 one or more flowcharts and / or blocks Figure 1 means for functionally implementing the steps listed in the flowchart block or blocks.

[0151] While the preferred embodiments of the application have been described, additional variations and modifications can be employed by those skilled in the art. Therefore, the appended claims intend to cover all such modifications and variations as fall within the true spirit and scope of the application.

[0152] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A low-carbon park multi-dimensional evaluation method, characterized in that, The method comprises the following steps: constructing a first evaluation index system based on a target low-carbon park and a first scoring standard for the first evaluation index system of the target low-carbon park; based on a first preset empowerment logic, establishing a first preset empowerment model based on the first evaluation index system; the first preset empowerment logic is a projection pursuit method; The first preset weighting model based on the first evaluation index system comprises: assuming that the jth index value of the ith evaluation criterion is , let represent n projection directions, which are equal to the weights of each criterion, and the projection value of the evaluation criterion i is represented as: wherein, denotes the projection value of the evaluation criterion i, i.e. the first pre-set weighting model, denotes the weight of the index j under the evaluation criterion i; obtaining a first target efficiency of the first evaluation index system according to the first preset empowerment model, and performing multi-dimensional evaluation of the low-carbon park according to the first target efficiency; the step of obtaining the first target efficiency of the first evaluation index system according to the first preset empowerment model comprises: obtaining index values of the first evaluation index system in the target low-carbon park; inputting the index values into the first preset empowerment model to obtain corresponding weight values of different indexes; constructing a first target function under the corresponding weight values of different indexes, and solving the first target efficiency according to the first target function; the first target function is a weight optimization model with the maximum efficiency value as the target, and the optimal weight of each index is determined by data envelopment analysis; the first target function determined by data envelopment analysis is expressed as follows: wherein, is the weight of the mth input-type indicator, is the weight of the kth output-type indicator, is the value of the mth input-type indicator of the evaluation criterion q, is the value of the kth output-type indicator of the evaluation criterion q, M is the total number of input-type indicators, K is the total number of output-type indicators, and N is the set of evaluation criteria. the step of performing multi-dimensional evaluation of the low-carbon park according to the first target efficiency comprises: based on the first target efficiency, combining the first scoring standard for the first evaluation index system of the target low-carbon park, obtaining a first target score under the development stage of the corresponding low-carbon park; performing multi-dimensional evaluation of the low-carbon park according to the first target score.

2. The low-carbon park multi-dimensional evaluation method of claim 1, wherein, The first evaluation index system comprises: a plurality of preset evaluation criteria based on the target low-carbon park; the preset evaluation criteria based on the target low-carbon park at least include criteria for emission reduction source control and criteria for carbon sink.

3. The low-carbon park multi-dimensional evaluation method of claim 2, wherein, The development stage of the low-carbon park includes: a first existing design stage, a second comprehensive energy development stage, and a third special improvement measure implementation stage.

4. The low-carbon park multi-dimensional evaluation method of claim 3, wherein, The preset evaluation criteria based on the target low-carbon park include: different preset evaluation criteria based on the target low-carbon park each contain a plurality of specific evaluation indexes.

5. The low-carbon park multi-dimensional evaluation method of claim 4, wherein, The preset evaluation criteria based on the target low-carbon park further comprise: different specific evaluation indexes are given different scoring standards; different scoring standards of different specific evaluation indexes constitute the first scoring standard.

6. A low-carbon park multi-dimensional evaluation system using the method of claim 1, characterized in that, The method comprises the following steps: a system construction module for constructing a first evaluation index system based on a target low-carbon park and a first scoring standard for the first evaluation index system of the target low-carbon park; a model construction module for establishing a first preset empowerment model based on the first evaluation index system based on a first preset empowerment logic; an evaluation module for obtaining a first target efficiency of the first evaluation index system according to the first preset empowerment model, and performing multi-dimensional evaluation of the low-carbon park according to the first target efficiency. 7.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-6 when the computer program is executed by the processor. The processor executes the computer program to realize the steps of the method of any one of claims 1 to 5.

8. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method of any one of claims 1 to 5.

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