New and old kinetic energy conversion result analysis method and device based on data mining

Abstract

The present invention provides a method and device for analyzing the results of the conversion of new and old kinetic energy based on data mining, wherein the method includes: obtaining power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and upstream and downstream industry information of industries related to new and old kinetic energy in the power system; determining a power monitoring index based on the information on industries related to new and old kinetic energy and the capacity-related information; determining a power monitoring index based on the information on industries related to new and old kinetic energy, the power consumption information, and the capacity-related information; determining a power linkage coefficient of related industries based on the upstream and downstream industry information of industries related to new and old kinetic energy and the power consumption information; determining the results of the conversion of new and old kinetic energy based on the power monitoring index, the power monitoring index, and / or the power linkage coefficient of related industries. The present invention can provide important reference standards for economic trend and industrial structure analysis by adopting multiple indicators.

Description

Technical Field

[0001] The present invention relates to the field of electric power economic technology, and in particular to a method for analyzing results of new and old kinetic energy conversion based on data mining. Background Art

[0002] As a "barometer" of the national economy, power big data is an important indicator that reflects the operating conditions of enterprises in all walks of life and reflects the trend of economic development. At present, the analysis methods and means of industrial-level power are too traditional, lacking the application of big data technology, low monitoring and analysis efficiency, and less special monitoring and analysis work on the transformation of new and old kinetic energy. The linkage relationship between the upstream and downstream of the industrial chain has not been accurately grasped, and it is difficult to analyze the transformation of new and old kinetic energy based on power data, and it is also impossible to support the industry linkage analysis at the industrial chain level. There is a certain gap between the government's data needs and the company's lean management requirements. Summary of the invention

[0003] The present invention provides a method for analyzing the results of new and old kinetic energy conversion based on data mining, which is used to solve the defect of lack of indicators for measuring the results of new and old kinetic energy conversion in the prior art, realize the construction of a new and old kinetic energy power economic monitoring model, and provide a reference for economic analysis.

[0004] In a first aspect, the present invention provides a method for analyzing the results of conversion of new and old kinetic energy based on data mining, comprising:

[0005] Obtain information on power consumption, capacity, new and old energy-related industries, and upstream and downstream industries of new and old energy-related industries in the power system;

[0006] Determine the power monitoring index based on the information of the new and old kinetic energy related industries and the capacity related information;

[0007] Determine an electricity monitoring index according to the information of the new and old kinetic energy related industries, the electricity consumption information and the capacity related information;

[0008] Determine the electricity linkage coefficient of the related industries based on the upstream and downstream industry information of the new and old kinetic energy related industries and the electricity consumption information;

[0009] The result of the conversion of new and old kinetic energy is determined according to the power monitoring index, the power monitoring index and / or the power linkage coefficient of related industries.

[0010] According to the new and old kinetic energy conversion result analysis method based on data mining provided by the present invention, wherein the power monitoring index is determined according to the information of the new and old kinetic energy related industries and the capacity related information, specifically including:

[0011] Obtaining the in-service capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods;

[0012] Determine the overall industry equipment in-service rate based on the in-service capacity information of the current time period and the contract capacity information;

[0013] Determining a month-on-month growth rate of the in-service capacity according to the in-service capacity information of the current time period and the in-service capacity information of the previous time period;

[0014] Determining the month-on-month growth rate of the contract capacity based on the contract capacity information of the current time period and the contract capacity information of the previous time period;

[0015] The power monitoring index is determined according to the operating capacity information, the contract capacity information, the overall user equipment operating rate, the month-on-month growth rate of the operating capacity, and the month-on-month growth rate of the contract capacity.

[0016] According to the new and old kinetic energy conversion result analysis method based on data mining provided by the present invention, wherein the power monitoring index is determined according to the information of the new and old kinetic energy related industries and the power consumption information, specifically including:

[0017] Obtaining electricity consumption information of different time periods of the new and old kinetic energy related industries and contract capacity information of the current time period;

[0018] Determine the industry equipment utilization rate according to the power consumption information of the current time period and the contract capacity information of the current time period;

[0019] Determine the month-on-month growth rate of industry electricity consumption based on the electricity consumption information of the current time period and the electricity consumption information of the previous time period;

[0020] The electricity monitoring index is determined according to the electricity consumption information of the different time periods, the utilization rate of the industry equipment and the month-on-month growth rate of the industry electricity consumption.

[0021] According to the new and old kinetic energy conversion result analysis method based on data mining provided by the present invention, wherein, the electricity linkage coefficient of the related industry is determined according to the upstream and downstream industry information of the new and old kinetic energy related industries and the electricity consumption information, specifically including:

[0022] Obtain the electricity consumption of upstream and downstream industries in different time periods of the industries related to the new and old kinetic energy;

[0023] Constructing the periodic electricity consumption sequence of the upstream and downstream industries according to the electricity consumption in different time periods;

[0024] Determine the correlation coefficient and hysteresis coefficient of the upstream and downstream industries according to the periodic electricity consumption sequence of the upstream and downstream industries;

[0025] The electricity linkage coefficient of the associated industries is determined according to the correlation coefficient of the upstream and downstream industries and the lag coefficient of the upstream and downstream industries.

[0026] According to the new and old kinetic energy conversion result analysis method based on data mining provided by the present invention, wherein the acquisition of the in-service capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods specifically includes:

[0027] Obtaining the in-service capacity information and contract capacity information of each industry in the new and old kinetic energy related industries in different time periods;

[0028] The in-operation capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods are determined according to the in-operation capacity information and contract capacity information of each industry in different time periods.

[0029] In a second aspect, the present invention provides a new and old kinetic energy conversion result analysis device based on data mining, comprising:

[0030] An information acquisition module is used to obtain power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and information on upstream and downstream industries related to industries related to new and old kinetic energy;

[0031] An electric power indicator monitoring index module, used to determine an electric power monitoring index according to the information of the new and old kinetic energy related industries and the capacity related information;

[0032] An electric quantity monitoring index module, used to determine an electric quantity monitoring index according to the information of the new and old kinetic energy related industries, the electric quantity consumption information and the capacity related information;

[0033] The module for linking the power consumption of related industries is used to determine the linking coefficient of power consumption of related industries according to the upstream and downstream industry information of the new and old kinetic energy related industries and the power consumption information;

[0034] The conversion result module is used to determine the new and old kinetic energy conversion result according to the power monitoring index, the power monitoring index and / or the related industry power linkage coefficient.

[0035] According to the new and old kinetic energy conversion result analysis device based on data mining provided by the present invention, the power index monitoring index module is specifically used for:

[0036] Obtaining the in-service capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods;

[0037] Determine the overall industry equipment in-service rate based on the in-service capacity information of the current time period and the contract capacity information;

[0038] Determining a month-on-month growth rate of the in-service capacity according to the in-service capacity information of the current time period and the in-service capacity information of the previous time period;

[0039] Determining the month-on-month growth rate of the contract capacity based on the contract capacity information of the current time period and the contract capacity information of the previous time period;

[0040] The power monitoring index is determined according to the operating capacity information, the contract capacity information, the overall user equipment operating rate, the month-on-month growth rate of the operating capacity, and the month-on-month growth rate of the contract capacity.

[0041] According to the new and old kinetic energy conversion result analysis device based on data mining provided by the present invention, the power monitoring index module is specifically used for:

[0042] Obtaining electricity consumption information of different time periods of the new and old kinetic energy related industries and contract capacity information of the current time period;

[0043] Determine the industry equipment utilization rate according to the power consumption information of the current time period and the contract capacity information of the current time period;

[0044] Determine the month-on-month growth rate of industry electricity consumption based on the electricity consumption information of the current time period and the electricity consumption information of the previous time period;

[0045] The electricity monitoring index is determined according to the electricity consumption information of the different time periods, the utilization rate of the industry equipment and the month-on-month growth rate of the industry electricity consumption.

[0046] In a third aspect, the present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the method for analyzing the results of the conversion of new and old kinetic energy based on data mining as described in any one of the above are implemented.

[0047] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the above-mentioned methods for analyzing the results of conversion of new and old kinetic energy based on data mining.

[0048] The method and device for analyzing the results of the conversion of new and old kinetic energy based on data mining provided by the present invention obtain the power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and upstream and downstream industry information on industries related to new and old kinetic energy in the power system. Then, according to the tracking information obtained above, the utilization rate of industry equipment, the month-on-month growth rate of industry power consumption, and the month-on-month growth rate of industry power consumption are determined. Then, the conversion results of the new and old kinetic energy industries are determined based on the three generated indicators. The present invention constructs a new and old kinetic energy power economic monitoring model to give full play to the important role of power data in economic trend analysis, industrial structure analysis and other aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 It is a flow chart of the new and old kinetic energy conversion result analysis method based on data mining provided by the present invention;

[0051] Figure 2 It is a structural schematic diagram of a new and old kinetic energy conversion result analysis device based on data mining provided by the present invention;

[0052] Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Combine the following Figure 1 A method for analyzing the results of conversion of new and old kinetic energy based on data mining of the present invention is described, comprising:

[0055] Step 100: Obtaining power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and information on upstream and downstream industries related to industries related to new and old kinetic energy;

[0056] Specifically, combined with the government's documents on the conversion of new and old kinetic energy, enterprise directories and other information, all relevant industries involved in the new and old kinetic energy in a specific area are sorted out, and mapped with the system industry classification, the new and old kinetic energy industry classification in the system is clarified, and the correlation between the main economic indicators of the industry and the power data is calculated. In the present invention, by obtaining information on power consumption and capacity in the power system, and combining it with relevant industry information from the government, it is possible to effectively evaluate and analyze the industrial economy.

[0057] Step 200: Determine a power monitoring index according to the information of the new and old kinetic energy related industries and the capacity related information;

[0058] Specifically, the power monitoring index mainly analyzes the monthly (weekly) data changes of user installed capacity and in-operation capacity in key industries, analyzes the industry's investment intention and development potential through year-on-year, month-on-month or fitting functions, and predicts future trends. The installed capacity refers to the capacity applied for by customers when applying for electricity from power supply companies. The in-operation capacity refers to the actual power capacity provided by power supply companies.

[0059] Step 300: Determine an electricity monitoring index according to the information of the new and old kinetic energy related industries, the electricity consumption information and the capacity related information;

[0060] Specifically, the electricity monitoring index mainly analyzes the changes in data such as user electricity consumption and utilization rate in key industries in different time periods, and provides data support for the subsequent decision-making direction of the government and companies through year-on-year and month-on-month analysis of industry capacity utilization rate and market prosperity index.

[0061] Step 400: Determine the electricity linkage coefficient of the related industries according to the upstream and downstream industry information of the new and old kinetic energy related industries and the electricity consumption information;

[0062] Specifically, the power linkage coefficient and hysteresis coefficient between upstream and downstream industries are designed to explore potential economic connections and realize the adaptive update of industrial supply relations. The present invention determines the correlation between upstream and downstream industries through the power information between upstream and downstream industries.

[0063] Step 500: Determine the result of the conversion of new and old kinetic energy according to the power monitoring index, the power monitoring index and / or the power linkage coefficient of related industries.

[0064] Specifically, in the present invention, by designing the power monitoring index, the power monitoring index, and the power linkage coefficient of related industries, the data needs are sorted out, and the important role of power data in economic trend analysis, industrial structure analysis, etc. is maximized, so as to provide decision support for government agencies to optimize industrial models and precise industrial support. This is because the data meanings described by different indexes are not the same. By adopting multiple indexes, a more comprehensive display of the economic situation can be made, thereby providing a reliable basis for economic decision-making and other behaviors.

[0065] The method for analyzing the results of the conversion of new and old kinetic energy based on data mining provided by the present invention obtains the power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and upstream and downstream industry information on industries related to new and old kinetic energy in the power system. Then, according to the various information obtained above, the industry equipment utilization rate, the month-on-month growth rate of industry power consumption, and the month-on-month growth rate of industry power consumption are determined. Then, the conversion results of the new and old kinetic energy industries are determined based on the three generated indicators. The present invention constructs a new and old kinetic energy power economic monitoring model to give full play to the important role of power data in economic trend analysis, industrial structure analysis and other aspects.

[0066] According to the new and old kinetic energy conversion result analysis method based on data mining provided by the present invention, wherein the power monitoring index is determined according to the information of the new and old kinetic energy related industries and the capacity related information, specifically including:

[0067] Obtaining the in-service capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods;

[0068] Determine the overall industry equipment in-service rate based on the in-service capacity information of the current time period and the contract capacity information;

[0069] Determining a month-on-month growth rate of the in-service capacity according to the in-service capacity information of the current time period and the in-service capacity information of the previous time period;

[0070] Determining the month-on-month growth rate of the contract capacity based on the contract capacity information of the current time period and the contract capacity information of the previous time period;

[0071] The power monitoring index is determined according to the operating capacity information, the contract capacity information, the overall user equipment operating rate, the month-on-month growth rate of the operating capacity, and the month-on-month growth rate of the contract capacity.

[0072] Specifically, when monitoring the capacity level of industries related to new and old kinetic energy, we obtain the operating capacity C of an individual in the industry at different time periods. 在运 By comparing the changes in the in-service capacity in different time periods, the actual level of production capacity in the industry can be effectively reflected. In addition, the contract capacity C of an individual in the industry in different time periods can be obtained.合同 , and then compare the changes in contract capacity in different time periods, and the changes in contract capacity can effectively reflect the rise and fall of the industry's maximum production capacity level.

[0073] Obtain the changes in the operating rate of user equipment in industries related to new and old kinetic energy. The equipment change rate can effectively reflect the potential for industry development. The measurement formula for the operating rate of user equipment is:

[0074]

[0075] Among them, C 在运 (Current) refers to the capacity in operation of an individual in the current time period. 合同 (Current) refers to the contract capacity of an individual in the current time period. ∑C 在运 (Current) represents the sum of the in-service capacity of all individuals in the industry in the current time period. 合同 (Current) is the sum of the contract capacity of all individuals in the industry for the current time period.

[0076] The development trend of the new and old kinetic energy related industries can be judged according to the in-service capacity in different periods. For example, the change of the month-on-month growth rate indicator of the industry's in-service capacity can effectively reflect the short-term market expectations. The formula is:

[0077]

[0078] Among them, ∑C 在运 (Current) represents the sum of the in-operation capacity of all individuals in the industry in the previous time period.

[0079] The changes in the month-on-month growth rate of industry contract capacity can effectively reflect the long-term market expectations, where the formula is:

[0080]

[0081] Among them, ∑C 合同 (Previous Period) is the sum of the contract capacity of all individuals in the industry in the previous time period.

[0082] The industry capacity level detection, industry development potential detection and industry development trend detection together constitute the power monitoring index of the new and old kinetic energy related industries.

[0083] According to the new and old kinetic energy conversion result analysis method based on data mining provided by the present invention, wherein the power monitoring index is determined according to the information of the new and old kinetic energy related industries and the power consumption information, specifically including:

[0084] Obtaining electricity consumption information of different time periods of the new and old kinetic energy related industries and contract capacity information of the current time period;

[0085] Determine the industry equipment utilization rate according to the power consumption information of the current time period and the contract capacity information of the current time period;

[0086] Determine the month-on-month growth rate of industry electricity consumption based on the electricity consumption information of the current time period and the electricity consumption information of the previous time period;

[0087] The electricity monitoring index is determined according to the electricity consumption information of the different time periods, the utilization rate of the industry equipment and the month-on-month growth rate of the industry electricity consumption.

[0088] Specifically, when monitoring the output level of industries related to new and old kinetic energy, the monitoring of industry electricity consumption can effectively reflect the rise and fall of industry output levels. By obtaining the industry electricity consumption Q of each individual industry in the new and old kinetic energy related industries in different time periods. Then, by comparing the changes in industry electricity consumption, the rise and fall of industry output can be judged.

[0089] By monitoring the industry operating rate level, we can determine the operating level of different industries. The formula for determining the operating rate is:

[0090]

[0091] Among them, Q (current) refers to the electricity consumption of each industry in the new and old kinetic energy related industries in the current time period, t represents the number of days included in a time period, It represents the hourly electricity consumption of all industries related to new and old kinetic energy in the current time period.

[0092] Furthermore, the changes in industry electricity consumption reflect the overall trend of changes in industries related to new and old kinetic energy, and the determination formula is:

[0093]

[0094] Among them, ∑Q(current period) represents the sum of the electricity consumption of each individual industry in the new and old kinetic energy related industries in the current time period, and ∑Q(previous period) represents the sum of the electricity consumption of each individual industry in the new and old kinetic energy related industries in the previous time period.

[0095] In summary, the electricity monitoring index of industries related to new and old kinetic energy is determined by monitoring industry output levels, industry operating rate levels and changes in industry electricity consumption, and information such as industry output can be displayed.

[0096] According to the new and old kinetic energy conversion result analysis method based on data mining provided by the present invention, wherein, the electricity linkage coefficient of the related industry is determined according to the upstream and downstream industry information of the new and old kinetic energy related industries and the electricity consumption information, specifically including:

[0097] Obtain the electricity consumption of upstream and downstream industries in different time periods of the industries related to the new and old kinetic energy;

[0098] Constructing the periodic electricity consumption sequence of the upstream and downstream industries according to the electricity consumption in different time periods;

[0099] Determine the correlation coefficient and hysteresis coefficient of the upstream and downstream industries according to the periodic electricity consumption sequence of the upstream and downstream industries;

[0100] The electricity linkage coefficient of the associated industries is determined according to the correlation coefficient of the upstream and downstream industries and the lag coefficient of the upstream and downstream industries.

[0101] Specifically, according to the relevant information of the new and old kinetic energy industries, the upstream and downstream industries in the new and old kinetic energy industries are determined. Then the power consumption of each industry in the upstream industry in different time periods is determined, and then the overall power consumption of the upstream industry in different time periods is obtained. For example, when the time period is one month, the monthly power sequence X of the upstream industry is obtained. (i) Similarly, determine the power consumption of each industry in the downstream industry in different time periods, and then obtain the overall power consumption of the downstream industry in different time periods. For example, when the time period is one month, obtain the monthly power sequence Y of the downstream industry (i) .

[0102] The linkage coefficient of the upstream and downstream industries can be determined based on the monthly electricity series of the upstream and downstream industries, where the formula is:

[0103] Coupling coefficient = r(X (i) ,Y (i) ) (6)

[0104] The closer r is to 1, the stronger the correlation is; the closer it is to 0, the weaker the correlation is. The decrease in linkage coefficient indicates that the correlation between upstream and downstream industries is weakened, and there is insufficient supply capacity of upstream industries, weakened demand of downstream industries, or shift in supply relations.

[0105] Similarly, the hysteresis of the industrial impact of the upstream and downstream industries can be determined based on the above monthly electricity series. The determination method is:

[0106] Hysteresis coefficient = r(X (i+t) ,Y (i) ) (7)

[0107] The correlation analysis of Y and X(t) data is performed, and the correlation coefficient r(X(i), Y) of X(i) is the largest. If t is less than 0, it means that there is a lag effect, and the impact will not be fully reflected in X until about t days after the change of Y; if t is greater than 0, it means that there is a lead effect, and X has already changed significantly t days before the change of Y.

[0108] However, in the present invention, the industry correlation coefficient between upstream and downstream industries and the industry impact hysteresis coefficient are used together to determine the industry correlation coefficient, and the industry relationship between upstream and downstream industries is judged by the industry correlation coefficient.

[0109] According to the new and old kinetic energy conversion result analysis method based on data mining provided by the present invention, wherein the acquisition of the in-service capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods specifically includes:

[0110] Obtaining the in-service capacity information and contract capacity information of each industry in the new and old kinetic energy related industries in different time periods;

[0111] The in-operation capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods are determined according to the in-operation capacity information and contract capacity information of each industry in different time periods.

[0112] Specifically, when analyzing the in-operation capacity and contract capacity of industries related to new and old growth drivers, it is determined based on the in-operation capacity and contract capacity of each industry.

[0113] The present invention provides a new and old kinetic energy conversion result analysis device based on data mining, comprising:

[0114] The information acquisition module 21 is used to obtain the power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and information on upstream and downstream industries related to industries related to new and old kinetic energy in the power system;

[0115] The power indicator monitoring index module 22 is used to determine the power monitoring index according to the information of the new and old kinetic energy related industries and the capacity related information;

[0116] The power monitoring index module 23 is used to determine the power monitoring index according to the information of the new and old kinetic energy related industries, the power consumption information and the capacity related information;

[0117] The module 24 for determining the linkage coefficient of electricity consumption of related industries is used to determine the linkage coefficient of electricity consumption of related industries according to the upstream and downstream industry information of the new and old kinetic energy related industries and the electricity consumption information;

[0118] The conversion result module 25 is used to determine the new and old kinetic energy conversion result according to the power monitoring index, the power monitoring index and / or the related industry power linkage coefficient.

[0119] Since the device provided in the embodiment of the present invention can be used to execute the method described in the above embodiment, its working principle and beneficial effects are similar, so they are not described in detail here. For specific contents, please refer to the introduction of the above embodiment.

[0120] The device for analyzing the results of the conversion of new and old kinetic energy based on data mining provided by the present invention obtains the power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and upstream and downstream industry information on industries related to new and old kinetic energy in the power system. Then, according to the tracking information obtained above, the utilization rate of industry equipment, the month-on-month growth rate of industry power consumption, and the month-on-month growth rate of industry power consumption are determined. Then, the conversion results of the new and old kinetic energy industries are determined based on the three generated indicators. The present invention constructs a new and old kinetic energy power economic monitoring model to give full play to the important role of power data in economic trend analysis, industrial structure analysis and other aspects.

[0121] According to the new and old kinetic energy conversion result analysis device based on data mining provided by the present invention, the power index monitoring index module 22 is specifically used for:

[0122] Obtaining the in-service capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods;

[0123] Determine the overall industry equipment in-service rate based on the in-service capacity information of the current time period and the contract capacity information;

[0124] Determining a month-on-month growth rate of the in-service capacity according to the in-service capacity information of the current time period and the in-service capacity information of the previous time period;

[0125] Determining the month-on-month growth rate of the contract capacity based on the contract capacity information of the current time period and the contract capacity information of the previous time period;

[0126] The power monitoring index is determined according to the operating capacity information, the contract capacity information, the overall user equipment operating rate, the month-on-month growth rate of the operating capacity, and the month-on-month growth rate of the contract capacity.

[0127] According to the new and old kinetic energy conversion result analysis device based on data mining provided by the present invention, the power monitoring index module 24 is specifically used for:

[0128] Obtaining the electricity consumption information of the new and old kinetic energy related industries in different time periods and the contract capacity of the current time period;

[0129] Determine the industry equipment utilization rate according to the power consumption information of the current time period and the contract capacity information of the current time period;

[0130] Determine the month-on-month growth rate of industry electricity consumption based on the electricity consumption in the current time period and the electricity consumption in the previous time period;

[0131] The electricity monitoring index is determined according to the electricity consumption information of the different time periods, the utilization rate of the industry equipment and the month-on-month growth rate of the industry electricity consumption.

[0132] According to the new and old kinetic energy conversion result analysis device based on data mining provided by the present invention, the related industry electricity linkage coefficient module 24 is specifically used for:

[0133] Obtain the electricity consumption of upstream and downstream industries in different time periods of the industries related to the new and old kinetic energy;

[0134] Constructing the periodic electricity consumption sequence of the upstream and downstream industries according to the electricity consumption in different time periods;

[0135] Determine the correlation coefficient and hysteresis coefficient of the upstream and downstream industries according to the periodic electricity consumption sequence of the upstream and downstream industries;

[0136] The electricity linkage coefficient of the associated industries is determined according to the correlation coefficient of the upstream and downstream industries and the lag coefficient of the upstream and downstream industries.

[0137] According to the new and old kinetic energy conversion result analysis device based on data mining provided by the present invention, the related industry electricity linkage coefficient module 23 is specifically used for:

[0138] Obtaining the in-service capacity information and contract capacity information of each industry in the new and old kinetic energy related industries in different time periods;

[0139] The in-operation capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods are determined according to the in-operation capacity information and contract capacity information of each industry in different time periods.

[0140] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330 and a communication bus 340, wherein the processor 310, the communication interface 320 and the memory 330 complete mutual communication through the communication bus 340. The processor 310 may call the logic instructions in the memory 330 to execute a method for analyzing the result of the conversion of new and old kinetic energy based on data mining, the method comprising: obtaining the power consumption information, the capacity-related information, the information of the new and old kinetic energy-related industries and the upstream and downstream industry information of the new and old kinetic energy-related industries in the power system; determining the power monitoring index according to the information of the new and old kinetic energy-related industries and the capacity-related information; determining the power monitoring index according to the information of the new and old kinetic energy-related industries, the power consumption information and the capacity-related information; determining the power linkage coefficient of the associated industry according to the upstream and downstream industry information of the new and old kinetic energy-related industries and the power consumption information; determining the result of the conversion of new and old kinetic energy according to the power monitoring index, the power monitoring index and / or the power linkage coefficient of the associated industry.

[0141] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0142] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute a method for analyzing the results of the conversion of new and old kinetic energy based on data mining provided by the above methods, the method including: obtaining power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and upstream and downstream industry information on industries related to new and old kinetic energy in the power system; determining a power monitoring index based on the information on industries related to new and old kinetic energy and the capacity-related information; determining a power monitoring index based on the information on industries related to new and old kinetic energy, the power consumption information, and the capacity-related information; determining a related industry power linkage coefficient based on the upstream and downstream industry information of the industries related to new and old kinetic energy and the power consumption information; determining the result of the conversion of new and old kinetic energy based on the power monitoring index, the power monitoring index and / or the related industry power linkage coefficient.

[0143] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the above-mentioned method for analyzing the results of the conversion of new and old kinetic energy based on data mining, the method comprising: obtaining power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and upstream and downstream industry information on industries related to new and old kinetic energy in the power system; determining a power monitoring index based on the information on industries related to new and old kinetic energy and the capacity-related information; determining a power monitoring index based on the information on industries related to new and old kinetic energy, the power consumption information, and the capacity-related information; determining a related industry power linkage coefficient based on the upstream and downstream industry information on industries related to new and old kinetic energy and the power consumption information; determining the result of the conversion of new and old kinetic energy based on the power monitoring index, the power monitoring index and / or the related industry power linkage coefficient.

[0144] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0145] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0146] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for analyzing the results of the conversion of new and old kinetic energy based on data mining, characterized in that: include: Obtain information on power consumption, capacity, new and old energy-related industries, and upstream and downstream industries of new and old energy-related industries in the power system; Determine the power monitoring index based on the information of the new and old kinetic energy related industries and the capacity related information; Determine an electricity monitoring index according to the information of the new and old kinetic energy related industries, the electricity consumption information and the capacity related information; Determine the electricity linkage coefficient of the related industries based on the upstream and downstream industry information of the new and old kinetic energy related industries and the electricity consumption information; Determine the result of the conversion of new and old kinetic energy according to the power monitoring index, the power monitoring index and the power linkage coefficient of related industries; Determining the power monitoring index according to the information of the new and old kinetic energy related industries and the capacity related information specifically includes: Obtaining the in-service capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods; Determine the overall industry equipment availability rate based on the in-service capacity information of the current time period and the contract capacity information of the current time period; Determining a month-on-month growth rate of the in-service capacity according to the in-service capacity information of the current time period and the in-service capacity information of the previous time period; Determining the month-on-month growth rate of the contract capacity based on the contract capacity information of the current time period and the contract capacity information of the previous time period; Determine the power monitoring index according to the in-operation capacity information, the contract capacity information, the overall industry equipment in-operation rate, the month-on-month growth rate of the in-operation capacity and the month-on-month growth rate of the contract capacity; Determining the power monitoring index according to the information of the new and old kinetic energy related industries, the power consumption information and the capacity related information specifically includes: Obtaining electricity consumption information of different time periods of the new and old kinetic energy related industries and contract capacity information of the current time period; Determine the industry equipment utilization rate based on the power consumption information of the current time period and the contract capacity information of the current time period; Determine the month-on-month growth rate of industry electricity consumption based on the electricity consumption information of the current time period and the electricity consumption information of the previous time period; Determine the electricity monitoring index according to the electricity consumption information of the different time periods, the utilization rate of the industry equipment and the month-on-month growth rate of the industry electricity consumption; The determining of the electricity linkage coefficient of the related industries according to the upstream and downstream industry information of the new and old kinetic energy related industries and the electricity consumption information specifically includes: Obtaining electricity consumption information of upstream and downstream industries in different time periods of the industries related to the new and old kinetic energy; Constructing the periodic electricity consumption sequence of the upstream and downstream industries according to the electricity consumption in different time periods; Determine the correlation coefficients of the upstream and downstream industries and the hysteresis coefficients of the upstream and downstream industries according to the periodic electricity consumption sequences of the upstream and downstream industries; The electricity linkage coefficient of the associated industries is determined according to the correlation coefficient of the upstream and downstream industries and the hysteresis coefficient of the upstream and downstream industries.

2. The method for analyzing the results of the conversion of new and old kinetic energy based on data mining according to claim 1 is characterized in that: The obtaining of the in-service capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods specifically includes: Obtaining the in-service capacity information and contract capacity information of each industry in the new and old kinetic energy related industries in different time periods; The in-operation capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods are determined based on the in-operation capacity information and contract capacity information of each industry in different time periods.

3. A new and old kinetic energy conversion result analysis device based on data mining, characterized in that: include: An information acquisition module is used to obtain power consumption information, capacity-related information, information on industries related to new and old kinetic energy, and information on upstream and downstream industries related to industries related to new and old kinetic energy; An electric power indicator monitoring index module, used to determine an electric power monitoring index according to the information of the new and old kinetic energy related industries and the capacity related information; An electric quantity monitoring index module, used to determine an electric quantity monitoring index according to the information of the new and old kinetic energy related industries, the electric quantity consumption information and the capacity related information; The module for linking the power consumption of related industries is used to determine the linking coefficient of power consumption of related industries according to the upstream and downstream industry information of the new and old kinetic energy related industries and the power consumption information; A conversion result module, used to determine the result of the conversion of new and old kinetic energy according to the power monitoring index, the power monitoring index and the power linkage coefficient of related industries; The power indicator monitoring index module is specifically used for: Obtaining the in-service capacity information and contract capacity information of the new and old kinetic energy related industries in different time periods; Determine the overall industry equipment availability rate based on the in-service capacity information of the current time period and the contract capacity information of the current time period; Determining a month-on-month growth rate of the in-service capacity according to the in-service capacity information of the current time period and the in-service capacity information of the previous time period; Determining the month-on-month growth rate of the contract capacity based on the contract capacity information of the current time period and the contract capacity information of the previous time period; Determine the power monitoring index according to the in-operation capacity information, the contract capacity information, the overall industry equipment in-operation rate, the month-on-month growth rate of the in-operation capacity and the month-on-month growth rate of the contract capacity; The power monitoring index module is specifically used for: Obtaining electricity consumption information of different time periods of the new and old kinetic energy related industries and contract capacity information of the current time period; Determine the industry equipment utilization rate based on the power consumption information of the current time period and the contract capacity information of the current time period; Determine the month-on-month growth rate of industry electricity consumption based on the electricity consumption information of the current time period and the electricity consumption information of the previous time period; Determine the electricity monitoring index according to the electricity consumption information of the different time periods, the utilization rate of the industry equipment and the month-on-month growth rate of the industry electricity consumption; The module of electricity linkage coefficient of related industries is specifically used for: Obtaining electricity consumption information of upstream and downstream industries in different time periods of the industries related to the new and old kinetic energy; Constructing the periodic electricity consumption sequence of the upstream and downstream industries according to the electricity consumption in different time periods; Determine the correlation coefficients of the upstream and downstream industries and the hysteresis coefficients of the upstream and downstream industries according to the periodic electricity consumption sequences of the upstream and downstream industries; The electricity linkage coefficient of the associated industries is determined according to the correlation coefficient of the upstream and downstream industries and the hysteresis coefficient of the upstream and downstream industries.

4. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the new and old kinetic energy conversion result analysis method based on data mining as described in any one of claims 1 to 2 are implemented.

5. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for analyzing the results of conversion of new and old kinetic energy based on data mining as described in any one of claims 1 to 2 are implemented.

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