CN112381411B - Method for evaluating population production activity, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses a method for evaluating population production activity, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring power data of a group; calculating the distribution balance level of enterprise activity rate, production activity and overall production activity according to the electric power data of the group; and calculating an enterprise production activity index according to the enterprise activity rate, the production activity and the distribution balance level of the overall production activity so as to evaluate the power consumption level of the group. The invention realizes accurate portrait of each enterprise and can better match marketing development strategies.
Description
Technical Field
The invention relates to the field of power big data application in a power system, in particular to a group production activity assessment method, electronic equipment and a storage medium.
Background
The energy revolution and the digital revolution are integrated and developed, and the energy revolution and the digital revolution are important development trends of new energy and power industry revolution. The development of the current technology is digital, new states are explored, the value of the electric power big data is deeply excavated, and experience and foundation of the application of the energy big data are accumulated.
Wherein, because electric power is "thermometer" and "sunny rain" of national economy, the change of electric power demand rolls over the liveness of economic operation. Therefore, the economic and social development is reflected from the electric view angle, the energy big data enabling digital management is implemented, and the measurement of the electric power consumption level and the development trend is of great importance.
Disclosure of Invention
The invention aims to provide a group productivity assessment method, electronic equipment and a storage medium, which are used for carrying out 'accurate portraits' on enterprises according to the comparison relation between the historical electricity consumption and the current electricity consumption of the enterprises through massive power data acquired based on a smart city energy cloud platform so as to better match marketing development strategies and reasonably distribute electricity.
In order to achieve the above object, the present invention is realized by the following technical scheme:
a method for assessing population productivity, comprising: acquiring power data of a group; calculating the distribution balance level of enterprise activity rate, production activity and overall production activity according to the electric power data of the group; and calculating an enterprise production activity index according to the enterprise activity rate, the production activity and the distribution balance level of the overall production activity so as to evaluate the power consumption level of the group.
Preferably, the enterprise activity rate is characterized by a production state active enterprise duty cycle, the production state active enterprise duty cycle C on the ith day of the population i The following formula is adopted for calculation:
wherein N is InActive Representing a total number of active users in production status on day i of the population; n (N) NotActive Representing the number of users to be stimulated for the production status of the ith day of the population.
Preferably, the production activity is characterized by a production state active power ratio, the production state active power ratio Q of the ith day of the population i The following formula is adopted for calculation:
in which Q i,group Representing a production status active total amount of electricity on day i of the population; q (Q) active，group Representing the most active total charge on day i of the population.
Preferably, the level of distribution balance of global production activity is characterized by global production state activity balance C.V for the ith day of the population i The following formula is adopted for calculation:
wherein E represents the average number of the production activity values of the jth active user in the production state on the ith day; lambda (lambda) i,j The productivity value of the j-th user on the i-th day,representing the total daily power consumption of the jth user with the ith production status active.
Preferably, the enterprise viability index R on day i of the population i The following formula is adopted for calculation:
R i ＝(C i ×α+Q i ×β-C.V i ×(1-α-β))×100
in the method, in the process of the invention,
preferably, the method further comprises: the enterprise viability index of the population is displayed in tabular form.
In another aspect, the present invention also provides an electronic device comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, implements a method as described above.
In other aspects, the invention also provides a readable storage medium having stored therein a computer program which, when executed by a processor, implements a method as described above.
The invention has at least one of the following advantages:
according to the invention, through the mass electric power data (electric power data of groups) acquired based on the smart city energy cloud platform, the electric power big data value is deeply excavated, so that the advantages of wide electric power big data coverage, large data volume, good real-time performance and high accuracy are fully exerted, the enterprise production activity index is researched and proposed according to the comparison relation between the historical electric consumption and the current electric consumption of enterprises, the economic and social development is reflected by the electric view angle, the energy big data energized digital management is implemented, and the enterprises are subjected to 'accurate portraits' to better match marketing strategies and reasonable electric power distribution.
And constructing an enterprise production activity index from the enterprise activity (strength), the production activity (intensity) and the distribution balance level (risk) of the overall production activity, and further realizing reasonable distribution of power supply by taking the area where the user is and the industry where the user belongs as distribution factors. The invention also solves the problem of how to convert big data into commercial value.
Drawings
Fig. 1 is a flow chart of a method for evaluating population productivity according to an embodiment of the present invention.
Detailed Description
The following describes in further detail an evaluation method for population productivity, an electronic device and a storage medium according to the present invention with reference to the accompanying drawings and detailed description. The advantages and features of the present invention will become more apparent from the following description. It should be noted that the drawings are in a very simplified form and are all to a non-precise scale, merely for the purpose of facilitating and clearly aiding in the description of embodiments of the invention. For a better understanding of the invention with objects, features and advantages, refer to the drawings. It should be understood that the structures, proportions, sizes, etc. shown in the drawings are for illustration purposes only and should not be construed as limiting the invention to the extent that any modifications, changes in the proportions, or adjustments of the sizes of structures, proportions, or otherwise, used in the practice of the invention, are included in the spirit and scope of the invention which is otherwise, without departing from the spirit or essential characteristics thereof.
It is noted that relational terms such as first and second, and the like are 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. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As shown in fig. 1, the method for evaluating the productivity of a population provided in this embodiment includes: s1, acquiring power data of a group; s2, calculating the distribution balance level of enterprise activity rate, production activity and overall production activity according to the electric power data of the group; and step S3, calculating an enterprise production activity index according to the enterprise activity rate, the production activity degree and the distribution balance level of the overall production activity degree so as to evaluate the power consumption level of the group.
The enterprise activity rate is characterized by a production state active enterprise duty cycle, the production state active enterprise duty cycle C on the ith day of the population i The following formula is adopted for calculation:
wherein N is InActive Representing a total number of active users in production status on day i of the population; n (N) NotActive Representing the number of users to be stimulated for the production status of the ith day of the population.
The production activity is characterized by a production state active power ratio, and the production state active power ratio Q of the ith day of the population i The following formula is adopted for calculation:
in which Q i,group Representing a production status active total amount of electricity on day i of the population; q (Q) active，group Representing the first of the populationThe most active total power for i days.
The level of overall production activity distribution is characterized by overall production state activity balance C.V for the ith day of the population i The following formula is adopted for calculation:
wherein E represents the average number of the production activity values of the jth active user in the production state on the ith day; lambda (lambda) i,j The productivity value of the j-th user on the i-th day,representing the total daily power consumption of the jth user with the ith production status active.
The enterprise viability index R on day i of the population i The following formula is adopted for calculation:
R i ＝(C i ×α+Q i ×β-C.V i ×(1-α-β))×100
in the method, in the process of the invention,
in this embodiment, it is understood that the group may be all businesses, partitions, electricity industries, or enterprises within a particular area.
The power data of the group in the step S1 can be massive power data acquired by a smart city energy cloud platform; the data types are shown in table 1 below.
Table 1 is the data type of the power data of the population
Specifically, the flow of the method for evaluating the population productivity provided in this embodiment is as follows:
calculating an electric quantity index:
forward active freezing daily total power consumption of ith and jth running tables in group
In the method, in the process of the invention,indicating the total electric energy indication value of the positive active freezing day of the ith day+1th day of the jth block table; />Indicating the indicating value of total electric energy of the ith positive active freezing day of the jth block table; alpha j Indicating the overall magnification.
Positive active freezing: the positive active power refers to the output of positive active power, and the ammeter can freeze each rate and total power of the positive active power, each rate and total power of the reverse active power, each rate and total power of the positive reactive power, each rate and total power of the reverse reactive power at the time when the electricity meter crosses zero daily, and record the time mark (month, day, time and minute) at the time.
Daily total power consumption of user (group) on day i
Calculating a judgment index:
high voltage user base power consumption Q basic :
Wherein: average is the daily electricity consumption of the same period; the contemporaneous workday is defined as the last month of work, excluding legal holidays.
Most active production electricity consumption Q of high-voltage user active :
Wherein: max is the maximum power consumption for the same working day.
The analysis index is calculated and the analysis index is calculated,
first, calculating individual indexes:
production state S of the ith day of high voltage user i ：
Wherein lambda is i The viability values for day i of the high pressure user are shown.
The production activity value is the ratio of the daily electricity consumption of the enterprise to the maximum electricity consumption of the same period of working days, and the larger the value is, the more active the production state of the enterprise is.
Secondly, calculating group indexes, wherein the production state of the ith day of the group is to-be-excited user number N NotActive ：
N NotActive Total number of users to be excited in production state (7)
Wherein: the users all belong to the group.
Production status active user number N on ith day of population InActive ：
N InActive Total number of active users in production state (8)
Wherein: the users all belong to the group.
Production status active total power Q on day i of population i，group ：
Wherein: the users all belong to the group and the daily electricity of the users is valid (missing and burr not counted).
The most active total power Q on day i of the population active，group ：
Wherein: the users all belong to the group and the daily electricity of the users is valid (missing and burr not counted).
Active enterprise duty cycle C for production status on day i of population i ：
Wherein: the users all belong to the group.
Production state active power duty cycle Q on day i of population i ：
Wherein: the users all belong to the group.
Overall production status activity balance on day i of the population (regional, electricity industry) C.V i ：
Wherein: the users all belong to the group. (smaller index represents more balanced production activity of enterprises, active non-oligopolistic and strong overall risk resistance)
Viability index R on day i of group (area, street/village, electricity industry) i ：
R i ＝(C i ×α+Q i ×β-C.V i ×(1-α-β))×100 (14)
Wherein:the three sub-indexes respectively represent the activity rate (strength) C of the enterprise i Production liveness (intensity) Q i And a distribution balance level (risk) C.V of overall production activity i 。
The report output index is specifically as follows:
Q m，group ＝{Q i，group i epsilon the current month working day } (15)
In which Q m，group Representing the active total power Q of the monthly production state m，group 。
Q m，active ＝Q active，group (16)
In which Q m，active Is the most active total power for the month.
C m ＝{C i I epsilon the current month working day } (17)
Wherein C is m Representing the month production status active enterprise duty C m 。
Q m ＝{Q i I epsilon current month working day } (18)
In which Q m Representing the active power duty cycle for the monthly production status.
C.V m ＝{C.V i I epsilon the current month working day } (19)
In C.V m Indicating monthly overall production status activity balance.
R m ＝{R i I epsilon the current month working day } (20)
Wherein R is m Representing the monthly production activity index.
In the present embodiment, if the current user has no Q basic 、Q active And the current production state and daily electricity quantity data of all enterprises of the user do not participate in statistics.
If the current user has Q basic 、Q active But the daily electricity data is empty, the production state of the enterprise continues to the previous day state (recursively searches to the first day), and the vitality value is empty.
The embodiment further includes: the enterprise viability index of the population is displayed in tabular form.
Specifically, when the group is all enterprises in the area in xls file mode, output the following "xx area enterprise production activity analysis table" shown in table 2.
Table 2 is a Table for analysis of Enterprise viability
When the population is a region, the following "xx region production Activity analysis Table" is output.
TABLE 3 regional production vitality analysis Table
When the group is the electricity industry, the production activity analysis table of the electricity industry in xx area is output as shown in the following table 4.
Table 4 production activity analysis table for electricity industry
To sum up, in this embodiment, through the massive electric power data (the electric power data of crowd) based on the energy cloud platform of smart city obtains, deep-draw electric power big data value, thereby fully played electric power big data coverage wide, the data volume is big, real-time is good, the advantage that the precision is high, according to the historical power consumption of enterprise, when the comparison relation between the daily power consumption, research and put forward enterprise production activity index, with the economic society development of electric power visual angle reaction, implement energy big data enable digital governance, carry out "accurate portrait" to each enterprise, with better matching marketing strategy and carry out reasonable power distribution to it.
And constructing an enterprise production activity index from the enterprise activity (strength), the production activity (intensity) and the distribution balance level (risk) of the overall production activity, and further realizing reasonable distribution of power supply by taking the area where the user is and the industry where the user belongs as distribution factors. The present embodiment also solves the problem of how to translate big data into commercial value. An enterprise production vitality index comprising: the enterprise activity rate (strength), which characterizes the ratio of the total number of active users in the production state of the area/industry to the total number of active users in the area/industry (namely, the active enterprise ratio in the production state), is the basis for evaluating the production activity of the enterprise. The production activity (strength) represents the ratio of the total electric quantity of the active users in the production state of the area/industry in the most active total electric quantity of the active users in the production state of the area/industry (namely the ratio of the active electric quantity in the production state), the production activity state of an enterprise is represented, and the economic double-circulation level is reflected by the power data. The level of distribution balance (risk) of overall production activity characterizes overall production state activity balance. The smaller the index is, the more balanced the enterprise production activity is, the non-oligopolistic activity is, and the whole risk resistance is strong.
In another aspect, the present invention also provides an electronic device comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, implements a method as described above.
In other aspects, the invention also provides a readable storage medium having stored therein a computer program which, when executed by a processor, implements a method as described above.
It should be noted that the apparatus and methods disclosed in the embodiments herein may be implemented in other ways. The apparatus embodiments described above are merely illustrative, for example, flow diagrams and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments herein. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments herein may be integrated together to form a single part, or the modules may exist alone, or two or more modules may be integrated to form a single part.
While the present invention has been described in detail through the foregoing description of the preferred embodiment, it should be understood that the foregoing description is not to be considered as limiting the invention. Many modifications and substitutions of the present invention will become apparent to those of ordinary skill in the art upon reading the foregoing. Accordingly, the scope of the invention should be limited only by the attached claims.
Claims (4)
1. A method for assessing population productivity, comprising:
acquiring power data of a group;
calculating the distribution balance level of enterprise activity rate, production activity and overall production activity according to the electric power data of the group;
calculating an enterprise production activity index according to the enterprise activity rate, the production activity degree and the distribution balance level of the overall production activity degree so as to evaluate the power consumption level of the group;
the enterprise activity rate is characterized by adopting the production state active enterprise duty ratio, and the first group of the groupiThe production state active enterprise duty ratio of the dayC i The following formula is adopted for calculation:
in the method, in the process of the invention,N InActive representing the first of the populationiTotal number of active users in production status of day;N NotActive representing the first of the populationiThe number of users to be excited in the production state of the day; the production activity is characterized by adopting the ratio of the active electric quantity of the production state, and the first group of the populationiThe active power duty cycle of the production state of the dayQ i The following formula is adopted for meteringAnd (3) calculating:
in the method, in the process of the invention,Q i,group representing the first of the populationiThe production state of the day is active total electric quantity;Q active,group representing the first of the populationiThe most active total power on the day; the distribution balance level of the overall production activity is characterized by overall production state activity balance, the first group of the populationiActive equalization of the overall production state of the dayC.V i The following formula is adopted for calculation:
wherein E represents the average number of the production activity values of the jth active user in the production state on the ith day; lambda (lambda) i,j The productivity value of the j-th user on the i-th day,Q i,j DTotal representing the daily total power consumption of the jth user with the ith production state active; the first of the populationiDaily viability index of the enterpriseR i The following formula is adopted for calculation:
in (1) the->。
2. The method of assessing the viability of a population of claim 1, further comprising: the enterprise viability index of the population is displayed in tabular form.
3. An electronic device comprising a processor and a memory, the memory having stored thereon a computer program which, when executed by the processor, implements the method of any of claims 1 to 2.
4. A readable storage medium, characterized in that the readable storage medium has stored therein a computer program which, when executed by a processor, implements the method of any one of claims 1 to 2.
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