CN114154782A - Method and system for evaluating conversion effect of new kinetic energy and old kinetic energy based on electric power data - Google Patents
Method and system for evaluating conversion effect of new kinetic energy and old kinetic energy based on electric power data Download PDFInfo
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Abstract
The invention provides a method and a system for evaluating new and old kinetic energy conversion effect based on electric power data, wherein the method comprises the steps of analyzing an electric power economy related index, and analyzing the electric power economy related index into the correlation between the regional power consumption and the regional production total value; acquiring power data for evaluating the conversion effect of the new and old kinetic energies, and establishing an evaluation index for evaluating the conversion effect of the new and old kinetic energies according to the power data on the premise that the power economy correlation index is in positive correlation; the evaluation indexes comprise electricity utilization growth indexes, power location quotients, new and old kinetic energy conversion power indexes, newly-arranged market subjects and super-productivity; and obtaining the effect index of the conversion of the new and old kinetic energies according to the effect evaluation index of the conversion of the new and old kinetic energies. Based on the method, the invention also provides a system for evaluating the conversion effect of the new and old kinetic energy based on the electric power data.
Description
Technical Field
The invention belongs to the technical field of evaluation of conversion efficiency of new and old kinetic energy, and particularly relates to a method and a system for evaluating conversion efficiency of new and old kinetic energy based on electric power data.
Background
At present, the economy changes from a high-speed growth stage to a high-quality development stage, the innovation drives the development strategy to be deeply implemented, and the public entrepreneurs are innovated and vigorously developed. The development of the economy is now being developed by taking technical innovation as a guide, taking new technology, new industry, new state and new mode as cores and taking new production elements such as knowledge, technology, information, data and the like as supports. Through institutional innovation and innovation, the main drivers for promoting economic growth are shifting from investment and epitaxial growth to innovation and connotative growth. Accelerating the cultivation and development of new kinetic energy, improving the traditional kinetic energy and promoting the conversion of the new kinetic energy and the old kinetic energy, is an important way for promoting the transformation of economic structures and the economic upgrade of entities, is an important gripper for striving to realize high-quality development, and is an important impetus for promoting the structural reform of the supply side.
At present, research on new and old kinetic energy conversion is in a complete starting stage, but the research content is mostly limited in aspects of relevant theoretical concepts, realization paths and the like, a research and a method for evaluating new and old kinetic energy conversion effects are lacked, and the effect of implementing a new and old kinetic energy conversion policy and the achievement of new and old kinetic energy conversion are difficult to quantify.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a system for evaluating the conversion effect of new and old kinetic energy based on electric power data.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for evaluating new and old kinetic energy conversion effects based on power data, comprising the steps of:
analyzing a power economy related index, wherein the power economy related index is the correlation between the regional power consumption and the total regional production value;
acquiring power data for evaluating the conversion effect of new and old kinetic energy, and establishing an evaluation index for evaluating the conversion effect of the new and old kinetic energy according to the power data on the premise that the power economy correlation index is in positive correlation; the evaluation indexes comprise electricity utilization growth indexes, power location quotients, new and old kinetic energy conversion power indexes, newly-arranged market subjects and super-productivity;
and obtaining the effect index of the conversion of the new and old kinetic energies according to the effect evaluation index of the conversion of the new and old kinetic energies.
Further, the calculation formula of the power economy related index is as follows:
wherein X is regional power consumption; y is the total value of regional production; COV (X, Y) is the covariance of X and Y; var [ X ] is the variance of X; var [ Y ] is the variance of Y.
Further, the calculation method of the electricity consumption increase index comprises the following steps:
further, the calculation method of the power location quotient comprises the following steps:
and the quotient of the power area is the ratio of the industrial electricity consumption in the area to the total industrial electricity consumption in the area.
Further, the calculation method of the new and old kinetic energy conversion power index comprises the following steps:
the new and old kinetic energy conversion power index is 0.8+ 0.2 of the industrial structure optimization power index and the industrial kinetic energy active power index;
wherein, the industrial structure optimized power index is the industrial structure optimized power index ═ Σ (backward kinetic energy decomposition, emerging kinetic energy cultivation, traditional kinetic energy improvement) power coefficient × -productivity ratio;
furthermore, the super-yield is the proportion of the number of users, which is larger than 100% of the monthly average power consumption of the enterprises in the same month in the same year and more than 100%, in the number of the users of all the monitored enterprises.
Further, the calculation method for obtaining the performance index of the conversion of the new and old kinetic energies according to the performance evaluation index of the conversion of the new and old kinetic energies comprises the following steps: and acquiring the weight of the new and old kinetic energy conversion performance evaluation indexes, and acquiring the performance index according to the weight of each evaluation index.
The invention also provides a system for evaluating the conversion effect of new and old kinetic energy based on the electric power data, which comprises an analysis module, an establishment module and a calculation module;
the analysis module is used for analyzing the power economy related index, and the analysis power economy related index is the correlation between the regional power consumption and the regional production total value;
the establishing module is used for acquiring power data for evaluating the conversion efficiency of the new and old kinetic energies, and establishing an evaluation index for evaluating the conversion efficiency of the new and old kinetic energies according to the power data on the premise that the power economy correlation index is in positive correlation; the evaluation indexes comprise electricity utilization growth indexes, power location quotients, new and old kinetic energy conversion power indexes, newly-arranged market subjects and super-productivity;
and the calculation module is used for obtaining the effect index of the conversion of the new and old kinetic energies according to the effect evaluation index of the conversion of the new and old kinetic energies.
Further, the establishing module comprises a first establishing module, a second establishing module, a third establishing module, a fourth establishing module and a fifth establishing module;
the first establishing module is used for establishing an electricity utilization increase index in the evaluation index;
the second establishing module is used for establishing the power location quotient in the evaluation index;
the third establishing module is used for establishing new and old kinetic energy conversion power indexes in the evaluation indexes;
the fourth establishing module is used for establishing a new market main body in the evaluation index;
the fifth establishing module is used for establishing the overproduction rate in the evaluation index.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
the invention provides a method and a system for evaluating new and old kinetic energy conversion effect based on electric power data, wherein the method comprises the steps of analyzing an electric power economy related index, and analyzing the electric power economy related index into the correlation between the regional power consumption and the regional production total value; acquiring power data for evaluating the conversion effect of new and old kinetic energy, and establishing an evaluation index for evaluating the conversion effect of the new and old kinetic energy according to the power data on the premise that the power economy correlation index is in positive correlation; the evaluation indexes comprise electricity utilization growth indexes, power location quotients, new and old kinetic energy conversion power indexes, newly-arranged market subjects and super-productivity; and obtaining the effect index of the conversion of the new and old kinetic energies according to the effect evaluation index of the conversion of the new and old kinetic energies. The invention relates to a method for evaluating the conversion effect of new and old kinetic energy based on electric power data, and also provides a system for evaluating the conversion effect of new and old kinetic energy based on electric power data. The power economy correlation coefficient uses the total area production value data and the power consumption data, reflects the degree of correlation between the total area production value data and the power consumption data, can remove the influence of the industrial scale according to the economic principle, and objectively shows the local development level of the industry from the power perspective.
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Fig. 1 is a flowchart of a method for evaluating the conversion efficiency of new and old kinetic energy based on electric power data according to embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a system for evaluating the conversion efficiency of new and old kinetic energies based on power data according to embodiment 2 of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
Example 1
The embodiment 1 of the invention provides a method for evaluating the conversion effect of new and old kinetic energy based on electric power data, wherein the electric power data is adopted, has the characteristics of instantaneity, authenticity, mirroring, coverage and the like, and can objectively and truly reflect the development current situation and the trend of the industry in the social and economic transformation process.
Fig. 1 is a flowchart of a method for evaluating the conversion efficiency of new kinetic energy and old kinetic energy based on power data according to embodiment 1 of the present invention. By constructing six power utilization indexes, namely a power utilization increase index, a power economy related index, a power region quotient, a new and old kinetic energy conversion power index, an overproduction rate and a new and old kinetic energy market main body, analysis is carried out on non-resident power consumption, new and old kinetic energy industry power consumption, the number of new and old market main bodies, production level related to enterprises and the like in an evaluation area, and the new and old kinetic energy conversion effect is comprehensively reflected.
In step S101, the power economy related index is analyzed, and the power economy related index is analyzed as the correlation between the regional power consumption and the regional production total value.
The power economy related index is used for exploring the degree of correlation between the total production value of a region and the power consumption, the range of the power economy related index is [ -1,1], and the calculation formula of the power economy related index is as follows:
wherein X is regional power consumption; y is the total value of regional production; COV (X, Y) is the covariance of X and Y; var [ X ] is the variance of X; var [ Y ] is the variance of Y.
The closer r is to 0, the weaker the correlation of the regional power usage to the total regional production value. When r >0, a positive correlation is indicated, in which case the values of the two variables, the area electricity usage and the area production total, tend to increase together. When r <0, indicates a negative correlation, in which case the total area production value tends to decrease as the area electricity usage increases.
In step S102, acquiring power data for evaluating the effect of converting new and old kinetic energy, and establishing an evaluation index for evaluating the effect of converting new and old kinetic energy according to the power data on the premise that the power economy correlation index is positively correlated; the evaluation indexes comprise electricity utilization growth indexes, power location quotients, new and old kinetic energy conversion power indexes, new market bodies and super productivity.
The electricity consumption acceleration rate is closely related to the production benefit conditions such as an industry added value and the like, and can reflect the operation conditions of regions, industries or industries in a macroscopic view. The calculation method of the electricity consumption growth index comprises the following steps:
the higher the electricity usage growth index, the better the development of the area, industry or industry is represented, and the lower the index, the slower the development of the area, industry or industry is represented.
The electric power regional business eliminates the influence of the industrial scale on the development level of the industry and can objectively reflect the development level of the industry.
The power area quotient is the ratio of the industrial power consumption in the area/the ratio of the industrial power consumption in the whole province
The proposal divides the power area quotient into five sections, and if the power area quotient is more than 2, the development of the industry in the area is in an absolute dominant position; if the power location quotient is between 1.2 and 2, it represents that the industry has a relatively high development level in the area; if the power location quotient is between 0.8 and 1.2, it represents that the industry is in a normal development level in the area; if the power location quotient is between 0.4 and 0.8, it represents that the industry is relatively lagged in developing in the whole province; if the power sector quotient is less than 0.4, it means that the industry is behind in the local area.
The index of the power converted from new kinetic energy to old kinetic energy is an index reflecting the conversion condition of new kinetic energy to old kinetic energy in the region. The division method adopts methods such as a diffusion index method, a synthetic index and the like, and is constructed from two aspects of industrial structure and industrial kinetic energy activity.
The calculation method of the new and old kinetic energy conversion power index comprises the following steps:
the new and old kinetic energy conversion power index is 0.8+ 0.2 of the industrial structure optimization power index and the industrial kinetic energy active power index;
theoretically, when all indexes of the industry are kept at the basic level, the index of the new and old kinetic energy conversion power is 1. When the power index is greater than 1, the conversion of new and old kinetic energy is good; when the power index is less than 1, it indicates that the conversion of new and old kinetic energy needs to be further strengthened.
Wherein, the industrial structure optimized power index is the industrial structure optimized power index ═ Σ (backward kinetic energy decomposition, emerging kinetic energy cultivation, traditional kinetic energy improvement) power coefficient × -productivity ratio;
when all indexes of the industry are kept at the same level as the basic level, the index of the conversion power of new and old kinetic energy is 1. When the power index is greater than 1, the conversion of new and old kinetic energy is good; when the power index is less than 1, it indicates that the conversion of new and old kinetic energy needs to be further strengthened.
The capacity occupation ratio is respectively the power consumption occupation ratio of the laggard, emerging and traditional kinetic energy industries
If the backward kinetic decomposition power coefficient is more than 1, the industrial kinetic decomposition is better; if the power coefficient is less than 1, the backward kinetic energy is slowly degraded or even aggravated.
If the power coefficient is larger than 1, the development of the industry is better; if the power coefficient is less than 1, the industrial cultivation and transformation are slow or even reversed.
The industrial structure optimization power index is larger than 1, which means that the industrial layout is good and has a certain development space, otherwise, the industrial structure is unreasonable and needs to be optimized.
The kinetic energy active power index is an index representing the activity degree of the industry and can reflect the future development trend of the industry.
If the kinetic energy activity power index is larger than 1, the activity of the industry is increased, and the kinetic energy activity power index is larger and more active; if the power index is less than 1, the activity of the industry is reduced, and the smaller the value, the lower the activity.
The newly-established market main body refers to the number of newly-added enterprises in the market, and can be used as a data measuring and calculating basis for judging that the market activity is continuously excited and the economic development toughness is continuously enhanced. In the scheme, new and old kinetic energy conversion effects are reflected mainly by comparing the change conditions of new and old kinetic energy industries and newly-established market main bodies and the change conditions of the quantity proportion of new and old kinetic energy enterprises.
The enterprise super-yield is an index which is widely and generally applied in scenes of evaluating enterprise, industry, industrial prosperity and operation level, and the formula is as follows:
the super yield is the proportion of the number of users, which is larger than 100% of the monthly average power consumption of the enterprises in the same month in the same year and more than 100%, in the number of the users of all the monitored enterprises.
In step S103, a performance index of the conversion of the new and old kinetic energies is obtained according to the performance evaluation index of the conversion of the new and old kinetic energies. And acquiring the weight of the new and old kinetic energy conversion performance evaluation indexes, and acquiring the performance index according to the weight of each evaluation index.
The method for evaluating the conversion effect of the new and old kinetic energies based on the power data, which is provided by the embodiment 1 of the invention, designs a set of indexes for evaluating the conversion effect of the new and old kinetic energies based on the power data by using the characteristics of real-time property, authenticity, mirroring, coverage and the like of the power data; the electric power data and the economic data are organically combined to construct an electric channel index system, and the electric channel index system can be widely used for evaluating the implementation effect of various economic policies.
Example 2
The embodiment 2 of the invention also provides a system for evaluating the conversion effect of new and old kinetic energy based on electric power data, which comprises an analysis module, an establishment module and a calculation module;
the analysis module is used for analyzing the power economy related index, wherein the power economy related index is the correlation between the regional power consumption and the regional production total value;
the establishing module is used for acquiring power data for evaluating conversion efficiency of new and old kinetic energy, and establishing evaluation indexes for evaluating conversion efficiency of new and old kinetic energy according to the power data on the premise that the power economy correlation indexes are in positive correlation; the evaluation indexes comprise electricity utilization growth indexes, power location quotients, new and old kinetic energy conversion power indexes, newly-arranged market subjects and super-productivity;
and the calculation module is used for obtaining the effect index of the conversion of the new and old kinetic energies according to the effect evaluation index of the conversion of the new and old kinetic energies.
The building module comprises a first building module, a second building module, a third building module, a fourth building module and a fifth building module;
the first establishing module is used for establishing an electricity utilization increase index in the evaluation index;
the second establishing module is used for establishing the power location quotient in the evaluation index;
the third establishing module is used for establishing new and old kinetic energy conversion power indexes in the evaluation indexes;
the fourth establishing module is used for establishing a new market main body in the evaluation index;
and the fifth establishing module is used for establishing the overproduction rate in the evaluation index.
The power economy related index is used for exploring the degree of correlation between the total production value of a region and the power consumption, the range of the power economy related index is [ -1,1], and the calculation formula of the power economy related index is as follows:
wherein X is regional power consumption; y is the total value of regional production; COV (X, Y) is the covariance of X and Y; var [ X ] is the variance of X; var [ Y ] is the variance of Y.
The closer r is to 0, the weaker the correlation of the regional power usage to the total regional production value. When r >0, a positive correlation is indicated, in which case the values of the two variables, the area electricity usage and the area production total, tend to increase together. When r <0, indicates a negative correlation, in which case the total area production value tends to decrease as the area electricity usage increases.
The electricity consumption acceleration rate is closely related to the production benefit conditions such as an industry added value and the like, and can reflect the operation conditions of regions, industries or industries in a macroscopic view. The calculation method of the electricity consumption growth index comprises the following steps:
the higher the electricity usage growth index, the better the development of the area, industry or industry is represented, and the lower the index, the slower the development of the area, industry or industry is represented.
The electric power regional business eliminates the influence of the industrial scale on the development level of the industry and can objectively reflect the development level of the industry.
The power area quotient is the ratio of the industrial power consumption in the area/the ratio of the industrial power consumption in the whole province
The proposal divides the power area quotient into five sections, and if the power area quotient is more than 2, the development of the industry in the area is in an absolute dominant position; if the power location quotient is between 1.2 and 2, it represents that the industry has a relatively high development level in the area; if the power location quotient is between 0.8 and 1.2, it represents that the industry is in a normal development level in the area; if the power location quotient is between 0.4 and 0.8, it represents that the industry is relatively lagged in developing in the whole province; if the power sector quotient is less than 0.4, it means that the industry is behind in the local area.
The index of the power converted from new kinetic energy to old kinetic energy is an index reflecting the conversion condition of new kinetic energy to old kinetic energy in the region. The division method adopts methods such as a diffusion index method, a synthetic index and the like, and is constructed from two aspects of industrial structure and industrial kinetic energy activity.
The calculation method of the new and old kinetic energy conversion power index comprises the following steps:
the new and old kinetic energy conversion power index is 0.8+ 0.2 of the industrial structure optimization power index and the industrial kinetic energy active power index;
theoretically, when all indexes of the industry are kept at the basic level, the index of the new and old kinetic energy conversion power is 1. When the power index is greater than 1, the conversion of new and old kinetic energy is good; when the power index is less than 1, it indicates that the conversion of new and old kinetic energy needs to be further strengthened.
Wherein, the industrial structure optimized power index is the industrial structure optimized power index ═ Σ (backward kinetic energy decomposition, emerging kinetic energy cultivation, traditional kinetic energy improvement) power coefficient × -productivity ratio;
when all indexes of the industry are kept at the same level as the basic level, the index of the conversion power of new and old kinetic energy is 1. When the power index is greater than 1, the conversion of new and old kinetic energy is good; when the power index is less than 1, it indicates that the conversion of new and old kinetic energy needs to be further strengthened.
The capacity occupation ratio is respectively the power consumption occupation ratio of the laggard, emerging and traditional kinetic energy industries
If the backward kinetic decomposition power coefficient is more than 1, the industrial kinetic decomposition is better; if the power coefficient is less than 1, the backward kinetic energy is slowly degraded or even aggravated.
If the power coefficient is larger than 1, the development of the industry is better; if the power coefficient is less than 1, the industrial cultivation and transformation are slow or even reversed.
The industrial structure optimization power index is larger than 1, which means that the industrial layout is good and has a certain development space, otherwise, the industrial structure is unreasonable and needs to be optimized.
The kinetic energy active power index is an index representing the activity degree of the industry and can reflect the future development trend of the industry.
If the kinetic energy activity power index is larger than 1, the activity of the industry is increased, and the kinetic energy activity power index is larger and more active; if the power index is less than 1, the activity of the industry is reduced, and the smaller the value, the lower the activity.
The newly-established market main body refers to the number of newly-added enterprises in the market, and can be used as a data measuring and calculating basis for judging that the market activity is continuously excited and the economic development toughness is continuously enhanced. In the scheme, new and old kinetic energy conversion effects are reflected mainly by comparing the change conditions of new and old kinetic energy industries and newly-established market main bodies and the change conditions of the quantity proportion of new and old kinetic energy enterprises.
The enterprise super-yield is an index which is widely and generally applied in scenes of evaluating enterprise, industry, industrial prosperity and operation level, and the formula is as follows:
the super yield is the proportion of the number of users, which is larger than 100% of the monthly average power consumption of the enterprises in the same month in the same year and more than 100%, in the number of the users of all the monitored enterprises.
In the system for evaluating the effect of converting new and old kinetic energy based on electric power data provided in embodiment 2 of the invention, a set of indexes for evaluating the effect of converting new and old kinetic energy based on electric power data are designed by using the characteristics of real-time property, authenticity, mirroring, coverage and the like of electric power data; the electric power data and the economic data are organically combined to construct an electric channel index system, and the electric channel index system can be widely used for evaluating the implementation effect of various economic policies.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Furthermore, 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 elements inherent in the list. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. In addition, parts of the above technical solutions provided in the embodiments of the present application, which are consistent with the implementation principles of corresponding technical solutions in the prior art, are not described in detail so as to avoid redundant description.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, the scope of the present invention is not limited thereto. Various modifications and alterations will occur to those skilled in the art based on the foregoing description. And are neither required nor exhaustive of all embodiments. On the basis of the technical scheme of the invention, various modifications or changes which can be made by a person skilled in the art without creative efforts are still within the protection scope of the invention.
Claims (9)
1. A method for evaluating new and old kinetic energy conversion effects based on power data, comprising the steps of:
analyzing a power economy related index, wherein the power economy related index is the correlation between the regional power consumption and the total regional production value;
acquiring power data for evaluating the conversion effect of new and old kinetic energy, and establishing an evaluation index for evaluating the conversion effect of the new and old kinetic energy according to the power data on the premise that the power economy correlation index is in positive correlation; the evaluation indexes comprise electricity utilization growth indexes, power location quotients, new and old kinetic energy conversion power indexes, newly-arranged market subjects and super-productivity;
and obtaining the effect index of the conversion of the new and old kinetic energies according to the effect evaluation index of the conversion of the new and old kinetic energies.
2. The method for assessing conversion efficiency of old and new kinetic energy into new and old kinetic energy according to claim 1, wherein the power economy related index is calculated by the following formula:
wherein X is regional power consumption; y is the total value of regional production; COV (X, Y) is the covariance of X and Y; var [ X ] is the variance of X; var [ Y ] is the variance of Y.
3. The method for evaluating new and old kinetic energy conversion effect based on power data as claimed in claim 1, wherein the power consumption increase index is calculated by:
4. the method of claim 1, wherein the power location quotient is calculated by:
and the quotient of the power area is the ratio of the industrial electricity consumption in the area to the total industrial electricity consumption in the area.
5. The method for evaluating the effect of converting new and old kinetic energy into electric power according to claim 1, wherein the index of the new and old kinetic energy into electric power is calculated by:
the new and old kinetic energy conversion power index is 0.8+ 0.2 of the industrial structure optimization power index and the industrial kinetic energy active power index;
wherein, the industrial structure optimized power index is the industrial structure optimized power index ═ Σ (backward kinetic energy decomposition, emerging kinetic energy cultivation, traditional kinetic energy improvement) power coefficient × -productivity ratio;
6. the method of claim 1, wherein the super-productivity is a ratio of users with monthly average power consumption of enterprises in the same month in the same year and more than 100% of the total number of users of the monitored enterprises.
7. The method according to claim 1, wherein the calculation method for obtaining the performance index of the new and old kinetic energy conversion according to the performance evaluation index of the new and old kinetic energy conversion comprises: and acquiring the weight of the new and old kinetic energy conversion performance evaluation indexes, and acquiring the performance index according to the weight of each evaluation index.
8. A system for evaluating new and old kinetic energy conversion effect based on electric power data is characterized by comprising an analysis module, an establishment module and a calculation module;
the analysis module is used for analyzing the power economy related index, and the analysis power economy related index is the correlation between the regional power consumption and the regional production total value;
the establishing module is used for acquiring power data for evaluating the conversion efficiency of the new and old kinetic energies, and establishing an evaluation index for evaluating the conversion efficiency of the new and old kinetic energies according to the power data on the premise that the power economy correlation index is in positive correlation; the evaluation indexes comprise electricity utilization growth indexes, power location quotients, new and old kinetic energy conversion power indexes, newly-arranged market subjects and super-productivity;
and the calculation module is used for obtaining the effect index of the conversion of the new and old kinetic energies according to the effect evaluation index of the conversion of the new and old kinetic energies.
9. The system for assessing conversion of old and new kinetic energy into effects based on electrical data of claim 1, wherein the building modules comprise a first building module, a second building module, a third building module, a fourth building module and a fifth building module;
the first establishing module is used for establishing an electricity utilization increase index in the evaluation index;
the second establishing module is used for establishing the power location quotient in the evaluation index;
the third establishing module is used for establishing new and old kinetic energy conversion power indexes in the evaluation indexes;
the fourth establishing module is used for establishing a new market main body in the evaluation index;
the fifth establishing module is used for establishing the overproduction rate in the evaluation index.
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