Small and micro enterprise operation situation monitoring method based on power consumption data multi-index analysis

Abstract

The invention discloses a small and micro enterprise operation situation monitoring method based on power consumption data multi-index analysis, and the method comprises the steps: summarizing the power consumption data of all provinces and cities throughout the country, and extracting the daily power consumption information of related enterprise users according to the screening standard of small and micro enterprises; five power utilization evaluation indexes including daily average power consumption year-on-year speed increase, a power utilization recovery rate, a full-yield rate, an over-yield rate and an illegal enterprise proportion are proposed to represent the operation condition of the small and micro enterprises, and the operation situation and the overall scene condition of the national small and micro enterprises in the current year are analyzed; by integrating and analyzing the power consumption data of the small and micro enterprises, evaluation indexes capable of effectively representing the operation conditions and the operation situations of the small and micro enterprises are provided, and the operation conditions and the development situations of the small and micro enterprises nationwide in the current year, all provinces and all industries are accurately judged and predicted; the method has obvious benefits for analyzing the economic conditions of the whole country, all provinces and all industries.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a method for monitoring the operating status of small and micro enterprises based on multi-indicator analysis of electricity consumption data. Background Technology

[0002] As the most active subject in the market economy, small and micro enterprises play an important role in meeting the diversified needs of residents, increasing employment, enhancing the driving force of economic development, and promoting innovation. With my country's vigorous promotion of "mass entrepreneurship and innovation" and the introduction of a series of policy measures to support the development of small and micro enterprises, small and micro enterprises have ushered in favorable opportunities for rapid and healthy development. However, when the market environment is severely impacted by external forces, small and micro enterprises with weak economic strength will fall into an uncertain and precarious situation. Therefore, real-time monitoring of the development and operation of small and micro enterprises is of great significance to helping the country to promptly help small and micro enterprises overcome difficulties and ensure the steady and long-term development of the economy.

[0003] With the continuous breakthroughs and gradual application of new information technologies such as the Internet of Things, big data, and cloud computing in recent years in various fields of the economy and society, a digital economy with data as the main production factor has emerged as an important driving force for sustainable economic development. The energy Internet is supported by key information technologies in the digital economy and deeply integrated with the concept of energy revolution to promote energy transformation, improve energy utilization efficiency, and achieve energy conservation and emission reduction. As an important part of developing the digital economy and building the energy Internet, power big data has the advantages of wide coverage, high value density, and strong implementation accuracy. Using big data technology to construct a power economic index can objectively reflect the economic operation, assist in predicting economic development trends, and provide a reference for the formulation of macroeconomic regulation and control policies. Therefore, making full use of and analyzing the power data of small and micro enterprise users is a key means to monitor the operating status of small and micro enterprises and the economic prosperity. SUMMARY OF THE INVENTION

[0004] The present invention provides a method for monitoring the operation status of small and micro enterprises based on multi-index analysis of electricity consumption data, which is used to solve the problem that the existing small and micro enterprise operation status lacks reasonable and efficient analysis and monitoring means, resulting in the inability to make effective evaluations of the operation status and economic prosperity of small and micro enterprises in the whole country, provinces and industries in real time.

[0005] The present invention provides a method for monitoring the operation status of small and micro enterprises based on multi-indicator analysis of electricity consumption data, including:

[0006] Step 1: Obtain enterprise user information, screen small and micro enterprises in the enterprise user information, and determine the electricity consumption data of small and micro enterprises;

[0007] Step 2: Analyze the electricity consumption data of small and micro enterprises, and obtain the business operation status and operation trend of small and micro enterprises;

[0008] Step 3: Obtain the five-index information of small and micro enterprises on a monthly and quarterly basis for the current year and the previous year according to the business operation status, and establish a five-index change curve based on the five-index information;

[0009] Step 4: Conduct regional division according to the regions of small and micro enterprises, and obtain the five-index change curves of multiple regions;

[0010] Step 5: Conduct industry division according to the industries of small and micro enterprises, and obtain the five-index change curves of multiple industries.

[0011] Preferably, the small and micro enterprises are electricity-consuming enterprise users with an access capacity less than or equal to 160 kVA.

[0012] Preferably, the screening of small and micro enterprises in the enterprise user information includes:

[0013] Screen and lock low-voltage non-resident and high-voltage enterprise users with an access capacity below 160 kVA;

[0014] Among the screened and locked users, remove the users whose accounts have been cancelled;

[0015] Retain the users with the metering points in the established and in-use status;

[0016] Remove the users with the electricity meter ID and the collection object ID being empty;

[0017] Remove the users with a user operation capacity less than 0;

[0018] Remove seasonal electricity-consuming and photovoltaic users.

[0019] Preferably, in Step 1, the enterprise user information includes the enterprise user file information and electricity consumption metering table information of multiple provinces or municipalities directly under the Central Government;

[0020] Step 1 further includes:

[0021] Obtain the information such as user files and metering tables of each province and municipality, and summarize them into a wide table;

[0022] Filter and screen the information in the wide table according to the small and micro enterprise screening criteria;

[0023] Extract the daily electricity consumption information of the enterprises involved in the user files.

[0024] Preferably, in the step 2, the analysis of the electricity consumption data of small and micro enterprises includes: extracting and calculating the year-on-year growth rate of the daily average electricity consumption, the electricity consumption recovery rate, the production rate, the overproduction rate, and the proportion of unprosperous enterprises in the electricity consumption data of small and micro enterprises, obtaining five indicators, and using the five indicators to characterize the overall operation status and operation trend of small and micro enterprises;

[0025] In addition, according to the electricity consumption information of small and micro enterprises, the daily electricity consumption information of small and micro enterprises in the current year and the previous year is extracted and used to analyze the operation trend of small and micro enterprises in the current year;

[0026] Calculating the five evaluations of the year-on-year growth rate of the daily average electricity consumption, the electricity consumption recovery rate, the production rate, the overproduction rate, and the proportion of unprosperous enterprises.

[0027] Preferably, the year-on-year growth rate index of the daily average electricity consumption is calculated by the formula (1):

[0028]

[0029] where w 1 and w 2 are the daily average electricity consumption in a certain month or quarter of the current year and the previous year respectively; W 1 and W 2 are the total electricity consumption in a certain month or quarter of the current year and the previous year respectively, that is, the sum of the daily electricity consumption of all days in a certain month or quarter, and the daily electricity consumption is the sum of the daily electricity consumption of all users participating in the electricity consumption statistics on the same day; n 1 and n 2 are the total number of statistical days in a certain month or quarter respectively.

[0030] Preferably, the users participating in the electricity consumption statistics are the users with electricity consumption activities on the same day and with electricity consumption activities on the same day of the previous year.

[0031] Preferably, the electricity consumption recovery rate index is calculated according to the formula (2):

[0032] Electricity consumption recovery rate = N h / N (2)

[0033] where N h is the total number of enterprises with electricity consumption recovery on the same day, and N is the number of enterprise users participating in the electricity consumption statistics on the same day;

[0034] Among them, the enterprises with electricity consumption recovery are defined as the enterprise users whose daily electricity consumption w r is greater than or equal to 60% of the benchmark electricity consumption compared with the benchmark electricity consumption, that is, the formula (3):

[0035] w r ≥60% * w j (3)

[0036] where wj is the average daily power consumption in the same month of the previous year, that is, (the total daily power consumption of the enterprise in one month of the same month of the previous year) / (the number of statistical days in one month of the same month of the previous year).

[0037] Preferably, the production - reaching rate index is calculated according to formula (4):

[0038] Production - reaching rate index = N d / N (4)

[0039] where, N d is the total number of enterprises reaching production on the day; an enterprise reaching production is defined as an enterprise user whose power consumption w r compared with the benchmark power consumption, is greater than or equal to 80% of it, that is:

[0040] w r ≥80% * w j (5)

[0041] where, w j is the average daily power consumption in the same month of the previous year, that is, (the total daily power consumption of the enterprise in one month of the same month of the previous year) / (the number of statistical days in one month of the same month of the previous year).

[0042] Preferably, the over - production rate index is calculated according to formula (6):

[0043] Over - production rate index = N c / N (6)

[0044] where, N c is the total number of enterprises with over - production on the day; an enterprise with over - production is defined as an enterprise user whose power consumption w r compared with the benchmark power consumption, is greater than or equal to 100% of it, that is formula (7):

[0045] w r ≥100% * w j (7)

[0046] where, w j is the average daily power consumption in the same month of the previous year, that is, (the total daily power consumption of the enterprise in one month of the same month of the previous year) / (the number of statistical days in one month of the same month of the previous year).

[0047] Preferably, the proportion index of unprosperous enterprises is calculated as follows:

[0048] Proportion index of unprosperous enterprises = N j / N (6)

[0049] where, N j is the total number of enterprises with over - production on the day; an enterprise with over - production is defined as an enterprise user whose power consumption w rEnterprise users with electricity consumption less than or equal to 20% of the benchmark electricity consumption, that is, formula (7):

[0050] w r ≤20% * w j (7)

[0051] wherein, w j is the average daily electricity consumption in the same month of the previous year, that is, (the total electricity consumption of enterprises in a month of the same month of the previous year) / (the number of statistical days in a month of the same month of the previous year).

[0052] Preferably, step 3 further includes:

[0053] Calculating five indicators of national small and micro enterprises every month and every quarter in the current year and the previous year, establishing a change curve of the five indicators, and analyzing the operation trend of small and micro enterprises and the overall economic prosperity across the country in the current year;

[0054] And calculating the average daily electricity consumption of national small and micro enterprises every month and every quarter in the current year, the average daily electricity consumption of the previous year and the year before last every month and every quarter, the number of enterprises participating in electricity statistics every day in the current year and the previous year, and the electricity-related parameters of the benchmark electricity consumption of small and micro enterprises;

[0055] Calculating five indicators of the year-on-year growth rate of the average daily electricity consumption, electricity recovery rate, production rate, overproduction rate, and the proportion of unprosperous enterprises of national small and micro enterprises every month and every quarter in the current year and the previous year respectively according to the electricity-related parameters and the five evaluation indicators, and establishing a change curve of each indicator according to the calculation results;

[0056] According to the calculation results of the five indicators, comparing with the indicators in the same period of the previous year, and making an analysis report on the operation trend and economic prosperity of national small and micro enterprises in the current year by sub-indicators.

[0057] Preferably, step 4 further includes:

[0058] Dividing by the provinces where small and micro enterprises are located, calculating five evaluation indicators of small and micro enterprises in each province every month and every quarter in the current year, establishing a change curve of the five indicators, and analyzing the business conditions of small and micro enterprises in each province and the differences between provinces in the current year;

[0059] And calculating the average daily electricity consumption of small and micro enterprises in each province every month and every quarter in the current year, the average daily electricity consumption of the previous year and the year before last every month and every quarter, the number of enterprises participating in electricity statistics every day in the current year and the previous year, and the electricity-related parameters of the benchmark electricity consumption by province;

[0060] Calculating five indicators of the year-on-year growth rate of the average daily electricity consumption, electricity recovery rate, production rate, overproduction rate, and the proportion of unprosperous enterprises of small and micro enterprises in each province every month and every quarter in the current year respectively according to the electricity-related parameters and the five evaluation indicators, and establishing a change curve of each indicator;

[0061] According to the change curves of the five indicators, analyze the operating conditions of small and micro enterprises in each province in the current year and the differences between provinces respectively.

[0062] Preferably, step 5 further includes:

[0063] Classify by the industry where the small and micro enterprises are located, calculate the five evaluation indicators of small and micro enterprises in each industry monthly and quarterly in the current year, establish the change curves of the five indicators, and analyze the operating conditions of small and micro enterprises in each industry in the current year and the differences between industries;

[0064] In addition, calculate the daily average electricity consumption of small and micro enterprises in each industry monthly and quarterly in the current year, the daily average electricity consumption monthly and quarterly in the previous year and the year before last, the number of enterprises participating in the electricity statistics daily in the current year and the previous year, and the electricity-related parameters of the benchmark electricity consumption by industry;

[0065] Calculate the year-on-year growth rate of the daily average electricity consumption, electricity recovery rate, production rate, overproduction rate, and the proportion of unprosperous enterprises of small and micro enterprises in each industry monthly and quarterly in the current year according to the electricity-related parameters and the five evaluation indicators, and establish the index curves of each indicator;

[0066] According to the results of the index curves of the five indicators, analyze the prosperity of small and micro enterprises in each industry in the current year and the differences between industries respectively.

[0067] Preferably, the industries of small and micro enterprises include: agriculture, forestry, animal husbandry, and fishery, mining, manufacturing, production and supply of electric power, heat power, gas and water, construction, wholesale and retail, transportation, warehousing and postal services, accommodation and catering, information transmission, software and information technology services, leasing and business services, scientific and technological services, water conservancy, environment and public facilities management, residential service repair and other services, culture, sports and entertainment.

[0068] Through the above analysis method conceived by the present invention, compared with the existing methods, the following beneficial effects can be obtained:

[0069] (1) The monitoring method for the operation trend of small and micro enterprises based on multi-index analysis of electricity consumption data provided by the present invention summarizes and filters the electricity consumption data of users in each province and city, extracts the daily electricity consumption information of the enterprise users involved according to the screening criteria of small and micro enterprises, and proposes five evaluation indicators that can effectively represent the operating conditions of small and micro enterprises, including: year-on-year growth rate of daily average electricity consumption, electricity recovery rate, production rate, overproduction rate, and the proportion of unprosperous enterprises. Calculate the indicators of small and micro enterprises nationwide in the current year and the previous year respectively, establish the change curves of each indicator, compare with the indicators in the same period of the previous year, and analyze the operation trend of small and micro enterprises in the current year by sub-indicators; the five indicators proposed can accurately describe the overall operation trend of small and micro enterprises nationwide and intuitively reflect the overall economic prosperity of the country.

[0070] (2) The present invention divides small and micro enterprises by the provinces where they are located, calculates the five evaluation indicators of small and micro enterprises in each province on a monthly and quarterly basis for the current year, and can effectively analyze the operating conditions of small and micro enterprises in each province and the differences between provinces based on the changes in the indicators.

[0071] (3) The present invention divides small and micro enterprises by the industries they are in, calculates the five evaluation indicators of small and micro enterprises in each industry on a monthly and quarterly basis for the current year, and can effectively analyze the operating conditions of small and micro enterprises in each industry and the differences between industries based on the changes in the indicators.

[0072] Other features and advantages of the present invention will be described in the following specification, and in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures specifically pointed out in the written specification and the drawings.

[0073] The technical solution of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0074] The drawings are used to provide a further understanding of the present invention, and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0075] Figure 1 is the flow chart of the monitoring method for the operation status of small and micro enterprises based on multi-index analysis of electricity consumption data provided by the present invention;

[0076] Figure 2(a) shows the year-on-year growth rate of the daily electricity consumption of small and micro enterprises in 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country from January to September 2020 and the third quarter, and each month and the third quarter of 2019;

[0077] Figure 2(b) shows the electricity recovery rate of small and micro enterprises in 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country from January to September 2020 and the third quarter, and each month and the third quarter of 2019;

[0078] Figure 2(c) shows the production rate of small and micro enterprises in 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country from January to September 2020 and the third quarter, and each month and the third quarter of 2019;

[0079] Figure 2(d) shows the overproduction rate of small and micro enterprises in 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country from January to September 2020 and the third quarter, and each month and the third quarter of 2019;

[0080] Figure 2(e) shows the proportion of unprosperous enterprises of small and micro enterprises in 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country from January to September 2020 and the third quarter, and each month and the third quarter of 2019;

[0081] Figure 3(a) shows the year-on-year growth rate of the daily electricity consumption of small and micro enterprises in each province of 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country in the third quarter of 2020;

[0082] Figure 3(b) shows the electricity recovery rate of small and micro enterprises in each province of 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country in the third quarter of 2020;

[0083] Figure 3(c) shows the production rate of small and micro enterprises in each province of 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country in the third quarter of 2020;

[0084] Figure 3(d) shows the overproduction rate of small and micro enterprises in each province of 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country in the third quarter of 2020;

[0085] Figure 3(e) shows the proportion of unprosperous enterprises of small and micro enterprises in each province of 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country in the third quarter of 2020;

[0086] Figure 4(a) shows the year-on-year growth rate of the daily electricity consumption of small and micro enterprises in each industry from January to September 2020;

[0087] Figure 4(b) shows the electricity recovery rate of small and micro enterprises in each industry from January to September 2020;

[0088] Figure 4(c) shows the production rate of small and micro enterprises in each industry from January to September 2020;

[0089] Figure 4(d) shows the overproduction rate of small and micro enterprises in each industry from January to September 2020;

[0090] Figure 4(e) shows the proportion of unprosperous enterprises of small and micro enterprises in each industry from January to September 2020. Specific implementation manner

[0091] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0092] The present invention provides a monitoring method for the operation trend of small and micro enterprises based on multi-index analysis of electricity consumption data. By proposing five electricity consumption evaluation indexes that can effectively represent the operation of small and micro enterprises, and dividing them by the provinces where small and micro enterprises are located and by the industries where small and micro enterprises are located, the operation and operation trend of small and micro enterprises across the country, in each province, and in each industry are analyzed to reflect the national economic prosperity.

[0093] The embodiment of the present invention provides a monitoring method for the operation trend of small and micro enterprises based on multi-index analysis of electricity consumption data, including:

[0094] Step 1: Obtain enterprise user information, screen for small and micro enterprises in the enterprise user information, and determine the electricity consumption data of small and micro enterprises.

[0095] Step 2: Analyze the electricity consumption data of small and micro enterprises, and obtain the enterprise operation status and operation trend of small and micro enterprises.

[0096] Step 3: Obtain the five-index information of small and micro enterprises in monthly and quarterly of the current year and the previous year according to the enterprise operation status, and establish a five-index change curve based on the five-index information.

[0097] Step 4: Conduct regional division according to the regions of small and micro enterprises, and obtain the five-index change curves of multiple regions.

[0098] Step 5: Conduct industry division according to the industries of small and micro enterprises, and obtain the five-index change curves of multiple industries.

[0099] Preferably, the small and micro enterprises are electricity-using enterprise users with an access capacity less than or equal to 160 kVA.

[0100] Preferably, the screening of small and micro enterprises in the enterprise user information includes:

[0101] Screen and lock low-voltage non-resident and high-voltage enterprise users with an access capacity below 160 kVA;

[0102] Among the screened and locked users, remove the users whose accounts have been cancelled;

[0103] Retain the users with the metering points in the established and in-use status;

[0104] Remove the users with empty electricity meter ID and acquisition object ID;

[0105] Remove the users with a user operation capacity less than 0;

[0106] Remove seasonal electricity users and photovoltaic users.

[0107] Preferably, in Step 1, the enterprise user information includes enterprise user file information and electricity consumption metering table information of multiple provinces or municipalities directly under the Central Government;

[0108] Step 1 further includes:

[0109] Obtain information such as user files and metering tables of each province and municipality, and summarize them into a wide table;

[0110] Filter and screen the information in the wide table according to the small and micro enterprise screening criteria;

[0111] Extract the daily electricity consumption information of the enterprises involved in the user files.

[0112] Preferably, in step 2, analyzing the electricity consumption data of small and micro enterprises includes: extracting and evaluating the average daily electricity consumption year-on-year growth rate, electricity recovery rate, production capacity utilization rate, overproduction rate, and depressed enterprises contained in the electricity consumption data of small and micro enterprises, obtaining five indicators, and characterizing the overall business status and operation status of small and micro enterprises based on the five indicators;

[0113] And, based on the electricity consumption information of small and micro enterprises, extract the daily electricity consumption information of small and micro enterprises in the current year and the previous year, and use it to analyze the operating situation of small and micro enterprises in the current year;

[0114] Calculation of five evaluation items based on the year-on-year growth rate of daily average electricity consumption, electricity recovery rate, production capacity utilization rate, overproduction rate, and the proportion of depressed enterprises.

[0115] Preferably, the average daily electricity consumption year-on-year growth rate index is calculated by formula (1):

[0116]

[0117] Where w 1 and w 2 respectively the average daily electricity consumption in a certain month or quarter of the current year and the previous year; W 1 and W 2 Respectively, it is the total electricity consumption of a month or quarter of the current year and the previous year, that is, the sum of all daily electricity consumption of a month or quarter. The daily electricity consumption is the sum of the daily electricity consumption of all users participating in the electricity statistics on that day; n 1 and n 2 Respectively, they are all the statistical days of a month or a quarter.

[0118] Preferably, the users participating in the electricity consumption statistics are users who have electricity consumption activities on the current day and on the same day of the previous year.

[0119] Preferably, the power recovery rate index is calculated according to formula (2):

[0120] Electricity recovery rate = N h / N (2)

[0121] Wherein, N h is the total number of enterprises that resumed electricity use on that day, and N is the number of enterprise users participating in the electricity consumption statistics on that day;

[0122] Among them, the power recovery enterprise is defined as the enterprise's daily power consumption w r Enterprise users whose electricity consumption is greater than or equal to 60% of the benchmark electricity consumption, that is, formula (3):

[0123] w r ≥60%*w j (3)

[0124] W​j is the average daily power consumption in the same month of the previous year, that is, (the total daily power consumption of the enterprise in one month of the same month of the previous year) / (the number of statistical days in one month of the same month of the previous year).

[0125] Preferably, the production - reaching rate index is calculated according to formula (4):

[0126] Production - reaching rate index = N d / N (4)

[0127] where N d is the total number of enterprises reaching production on the day; an enterprise reaching production is defined as an enterprise user whose power consumption w r compared with the benchmark power consumption, is greater than or equal to 80% of it, that is:

[0128] w r ≥ 80% * w j (5)

[0129] where w j is the average daily power consumption in the same month of the previous year, that is, (the total daily power consumption of the enterprise in one month of the same month of the previous year) / (the number of statistical days in one month of the same month of the previous year).

[0130] Preferably, the over - production rate index is calculated according to formula (6):

[0131] Over - production rate index = N c / N (6)

[0132] where N c is the total number of enterprises with over - production on the day; an enterprise with over - production is defined as an enterprise user whose power consumption w r compared with the benchmark power consumption, is greater than or equal to 100% of it, that is formula (7):

[0133] w r ≥ 100% * w j (7)

[0134] where w j is the average daily power consumption in the same month of the previous year, that is, (the total daily power consumption of the enterprise in one month of the same month of the previous year) / (the number of statistical days in one month of the same month of the previous year).

[0135] Preferably, the proportion index of unprosperous enterprises is calculated as follows:

[0136] Proportion index of unprosperous enterprises = N j / N (6)

[0137] where N j is the total number of enterprises with over - production on the day; an enterprise with over - production is defined as an enterprise user whose power consumption w rEnterprise users with electricity consumption less than or equal to 20% of the benchmark electricity consumption, i.e., formula (7):

[0138] w r ≤20% * w j (7)

[0139] where w j is the average daily electricity consumption in the same month of the previous year, i.e., (total electricity consumption of enterprises in one month of the same month of the previous year) / (number of statistical days in one month of the same month of the previous year).

[0140] Preferably, step 3 further includes:

[0141] Calculating five indicators of national small and micro enterprises every month and every quarter in the current year and the previous year, establishing change curves of the five indicators, and analyzing the operation trend of small and micro enterprises and the overall economic prosperity across the country in the current year;

[0142] And calculating the average daily electricity consumption of national small and micro enterprises every month and every quarter in the current year, the average daily electricity consumption of the previous year and the year before last every month and every quarter, the number of enterprises participating in electricity statistics every day in the current year and the previous year, and the electricity-related parameters of the benchmark electricity consumption of small and micro enterprises;

[0143] According to the electricity-related parameters and the five evaluation indicators, respectively calculate the year-on-year growth rate of the average daily electricity consumption, electricity recovery rate, production rate, overproduction rate, and proportion of unprosperous enterprises of national small and micro enterprises every month and every quarter in the current year and the previous year, and establish change curves of each indicator according to the calculation results;

[0144] According to the calculation results of the five indicators, compare with the indicators in the same period of the previous year, and make an analysis report on the operation trend and economic prosperity of national small and micro enterprises in the current year for each indicator.

[0145] Preferably, step 4 further includes:

[0146] Dividing by the provinces where small and micro enterprises are located, calculating the five evaluation indicators of small and micro enterprises in each province every month and every quarter in the current year, establishing change curves of the five indicators, and analyzing the business conditions of small and micro enterprises in each province and the differences between provinces in the current year;

[0147] And calculating the average daily electricity consumption of small and micro enterprises in each province every month and every quarter in the current year, the average daily electricity consumption of the previous year and the year before last every month and every quarter, the number of enterprises participating in electricity statistics every day in the current year and the previous year, and the electricity-related parameters of the benchmark electricity consumption by province;

[0148] According to the electricity-related parameters and the five evaluation indicators, respectively calculate the year-on-year growth rate of the average daily electricity consumption, electricity recovery rate, production rate, overproduction rate, and proportion of unprosperous enterprises of small and micro enterprises in each province every month and every quarter in the current year, and establish change curves of each indicator;

[0149] According to the change curves of the five indicators, analyze the operating conditions of small and micro enterprises in each province in that year and the differences among provinces respectively.

[0150] Preferably, step 5 further includes:

[0151] Classify according to the industries where small and micro enterprises are located, calculate the five evaluation indicators of small and micro enterprises in each industry on a monthly and quarterly basis in that year, establish change curves of the five indicators, and analyze the operating conditions of small and micro enterprises in each industry in that year and the differences among industries;

[0152] In addition, calculate the daily average electricity consumption of small and micro enterprises in each industry on a monthly and quarterly basis in that year, the daily average electricity consumption on a monthly and quarterly basis in the previous year and the year before last, the number of enterprises participating in electricity statistics every day in that year and the previous year, and the electricity-related parameters of the benchmark electricity;

[0153] Calculate five indicators including the year-on-year growth rate of the daily average electricity consumption, electricity recovery rate, production rate, overproduction rate, and proportion of unprosperous enterprises of small and micro enterprises in each industry on a monthly and quarterly basis in that year according to the electricity-related parameters and the five evaluation indicators, and establish curves of each indicator;

[0154] According to the results of the indicator curves of the five indicators, analyze the prosperity of small and micro enterprises in each industry in that year and the differences among industries respectively.

[0155] Preferably, the industries of small and micro enterprises include: agriculture, forestry, animal husbandry, and fishery, mining, manufacturing, production and supply of electric power, heat, gas and water, construction, wholesale and retail, transportation, warehousing and postal services, accommodation and catering, information transmission, software and information technology services, leasing and business services, scientific and technological services, water conservancy, environment and public facilities management, residential service, repair and other services, culture, sports and entertainment.

[0156] Embodiment

[0157] Figure 1 It is a flowchart of the monitoring method for the operation trend of small and micro enterprises provided by the embodiment. Taking the operation trend of small and micro enterprises in 2020 as the analysis object, the specific implementation process includes the following steps:

[0158] Step 1, integrate the electricity consumption data of small and micro enterprises:

[0159] First, obtain the user files, meter information and other information of each province (26 provinces (municipalities, autonomous regions) within the business scope of State Grid Corporation of China, including: Beijing, Tianjin, Hebei, Shanxi, Shandong, Shanghai, Jiangsu, Zhejiang, Anhui, Fujian, Hubei, Hunan, Henan, Jiangxi, Sichuan, Chongqing, Liaoning, Jilin, Heilongjiang, Inner Mongolia Eastern Electric Power Co., Ltd., Shaanxi, Gansu, Qinghai, Ningxia Hui Autonomous Region, Xinjiang Uygur Autonomous Region, Tibet Autonomous Region) and summarize them into a wide table, filter the enterprise user files according to the screening standards for small and micro enterprises, and extract the daily electricity consumption information of the enterprises involved in the screened user files;

[0160] Step 2, propose five evaluation indicators:

[0161] Based on the electricity consumption information of small and micro enterprises, the daily electricity consumption information of small and micro enterprises from January to September 2020 and the whole year of 2019 and 2018 was extracted to further analyze the operating status of small and micro enterprises in that year, and five evaluation items and their calculation methods were proposed, including the year-on-year growth rate of daily average electricity consumption, electricity recovery rate, production capacity utilization rate, overproduction rate, and proportion of depressed enterprises;

[0162] The year-on-year growth rate of daily average electricity consumption is calculated by formula (1):

[0163]

[0164] Where w 1 and w 2 respectively the average daily electricity consumption in a certain month or quarter of the current year and the previous year; W 1 and W 2 Respectively, it is the total electricity consumption of a month or quarter of the current year and the previous year, that is, the sum of all daily electricity consumption of a month or quarter. The daily electricity consumption is the sum of the daily electricity consumption of all users participating in the electricity statistics on that day; n 1 and n2 are the total number of statistical days in a month or quarter respectively.

[0165] Users participating in electricity consumption statistics are those who have electricity consumption activities on the same day and on the same day of the previous year. For example, the electricity consumption on July 31, 2020 is the sum of the electricity consumption on July 31, 2020 for users who have electricity consumption activities on July 31, 2020 and 2019.

[0166] The power recovery rate index is calculated according to formula (2):

[0167] Electricity recovery rate = N h / N (2)

[0168] Wherein, N h is the total number of enterprises that resumed electricity use on that day, and N is the number of enterprise users participating in electricity consumption statistics on that day;​

[0169] Among them, the power recovery enterprise is defined as the enterprise's daily power consumption w r Enterprise users whose electricity consumption is greater than or equal to 60% of the benchmark electricity consumption, that is, formula (3):

[0170] w r ≥60%*w j (3)

[0171] Where w j It is the average daily electricity consumption in the same month of the previous year, that is, (the sum of the daily electricity consumption of enterprises in the same month of the previous year) / (the number of statistical days in the same month of the previous year).

[0172] The power recovery rate is the daily index of the day, and the monthly power recovery rate index of the month is the average value of the daily power recovery rate of the month, which is shown in formula (8):

[0173]

[0174] Among them, the power recovery rate 第i日 is the power recovery rate of the ith day, m is the number of statistical days in the month; the quarterly power recovery rate indicator is the average of the daily power recovery rates of the three months of the quarter; the monthly and quarterly production rate, overproduction rate, and the proportion of depressed enterprises are similar and so on.

[0175] The production capacity utilization index is calculated according to formula (4):

[0176] Production rate index = N d / N (4)

[0177] Wherein, N d is the total number of enterprises that reach full capacity on that day; enterprises that reach full capacity are defined as the daily electricity consumption of the enterprise w r Compared with the benchmark electricity consumption, the enterprise users with electricity consumption greater than or equal to 80% are:

[0178] w r ≥80%*w j (5)

[0179] Where w j It is the average daily electricity consumption in the same month of the previous year, that is, (the sum of the daily electricity consumption of enterprises in the same month of the previous year) / (the number of statistical days in the same month of the previous year).

[0180] The overproduction rate index is calculated according to formula (6):

[0181] Overproduction rate index = N c / N (6)

[0182] Wherein, N cis the total number of enterprises with overproduction on the day; an enterprise with overproduction is defined as an enterprise whose electricity consumption w on the day r compared with the benchmark electricity consumption, is an enterprise user that is greater than or equal to 100% of it, that is, formula (7):

[0183] w r ≥100% * w j (7)

[0184] wherein, w j is the average daily electricity consumption in the same month of the previous year, that is, (the total electricity consumption of enterprises in a month of the same month of the previous year) / (the number of statistical days in a month of the same month of the previous year).

[0185] The calculation method of the proportion index of sluggish enterprises is as follows:

[0186] Proportion index of sluggish enterprises = N j / N (6)

[0187] wherein, N j is the total number of enterprises with overproduction on the day; an enterprise with overproduction is defined as an enterprise whose electricity consumption w on the day r compared with the benchmark electricity consumption, is an enterprise user that is less than or equal to 20% of it, that is, formula (7):

[0188] w r ≤20% * w j (7)

[0189] wherein, w j is the average daily electricity consumption in the same month of the previous year, that is, (the total electricity consumption of enterprises in a month of the same month of the previous year) / (the number of statistical days in a month of the same month of the previous year).

[0190] Step 3, calculate the five indicators of national small and micro enterprises in the same period of the current year and the previous year:

[0191] Calculate the average daily electricity consumption of small and micro enterprises in 26 provinces (municipalities, autonomous regions) of the country from January to September 2020, the average daily electricity consumption in the third quarter, the average daily electricity consumption in each month of the whole year of 2019 and 2018, the number of enterprises participating in electricity statistics every day from January to September 2020, the corresponding benchmark electricity consumption in each month from January to September 2020 and other relevant parameters. According to the relevant parameters and the calculation methods of the five evaluation indicators, calculate the year-on-year growth rate of the average daily electricity consumption, the electricity recovery rate, the production rate, the overproduction rate, and the proportion of sluggish enterprises of small and micro enterprises in 26 provinces (municipalities, autonomous regions) of the country in each month from January to September 2020 and each month of the whole year of 2019, respectively. At the same time, calculate the five indicators in the third quarter of 2020 and 2019 respectively;

[0192] Step 4, analyze the operation trend and overall prosperity of small and micro enterprises:

[0193] According to the calculation results of the five indicators, the changing trends of the five indicators of small and micro enterprises in 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country from January to September 2020 and the changing trends of the five indicators each month in 2019 are plotted. By comparing with the indicators in the same period of 2019, an analysis is made on the operating status and economic prosperity of small and micro enterprises in 2020 by sub-indicators; Figures 2(a), (b), (c), (d), and (e) respectively show the changing trends of the five indicators of the year-on-year growth rate of daily electricity consumption, electricity recovery rate, production rate, overproduction rate, and the proportion of unprosperous enterprises of small and micro enterprises in 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country from January to September 2020 and the third quarter, and each month and the third quarter in 2019;

[0194] Step 5, divide by the province where it is located:

[0195] Divide according to the province where the small and micro enterprise is located, including 26 provinces (municipalities directly under the Central Government and autonomous regions) such as Beijing, Tianjin, Hebei, Shanxi, Shandong, Shanghai, Jiangsu, Zhejiang, Anhui, Fujian, Hubei, Hunan, Henan, Jiangxi, Sichuan, Chongqing, Liaoning, Jilin, Heilongjiang, Inner Mongolia Eastern Power Co., Ltd., Shaanxi, Gansu, Qinghai, Ningxia Hui Autonomous Region, Xinjiang Uygur Autonomous Region, and Tibet Autonomous Region. Extract the daily electricity consumption information of small and micro enterprises in each province in the third quarter of 2020 and the third quarter of 2019 respectively;

[0196] Step 6, calculate the five indicators of each province in the third quarter of the current year:

[0197] Calculate relevant parameters such as the daily electricity consumption of small and micro enterprises in each province in the third quarter of 2020 and the third quarter of 2019, the number of enterprises participating in the electricity statistics every day in the third quarter of 2020, and the corresponding benchmark electricity in the third quarter of 2020 for each province. According to the relevant parameters and the calculation methods of the five evaluation indicators, calculate the five indicators of the year-on-year growth rate of daily electricity consumption, electricity recovery rate, production rate, overproduction rate, and the proportion of unprosperous enterprises of small and micro enterprises in each province in the third quarter of 2020 respectively;

[0198] Step 7, analyze the operating conditions and differences of small and micro enterprises in each province:

[0199] According to the calculation results of the five indicators, analyze the operating conditions of small and micro enterprises in each province in the third quarter of 2020 and the differences between provinces by sub-indicators; Figures 3(a), (b), (c), (d), and (e) respectively show the five indicators of the year-on-year growth rate of daily electricity consumption, electricity recovery rate, production rate, overproduction rate, and the proportion of unprosperous enterprises of small and micro enterprises in each province of 26 provinces (municipalities directly under the Central Government and autonomous regions) across the country in the third quarter of 2020;

[0200] Step 8, divide by the industry where it is located:

[0201] Divided according to the industries in which small and micro enterprises are located, they are divided into 14 industries including agriculture, forestry, animal husbandry, and fishery, mining, manufacturing, production and supply of electricity, heat, gas and water, construction, wholesale and retail, transportation, warehousing and postal services, accommodation and catering, information transmission, software and information technology services, leasing and business services, scientific and technological services, water conservancy, environment and public facilities management, residential services, repair and other services, culture, sports and entertainment. The daily electricity consumption information of small and micro enterprises in each industry from January to September 2020 and the whole year of 2019 was extracted respectively;

[0202] Step 9, calculate the five indicators of each industry in the current year for each month:

[0203] Calculate relevant parameters such as the daily average electricity consumption of small and micro enterprises in each industry from January to September 2020 and each month of the whole year of 2019, the number of enterprises participating in electricity statistics every day from January to September 2020, and the corresponding benchmark electricity consumption for each month from January to September 2020. According to the relevant parameters and the calculation methods of the five evaluation indicators, calculate the five indicators of the year-on-year growth rate of daily average electricity consumption, electricity recovery rate, production rate, overproduction rate, and the proportion of unprosperous enterprises in each industry from January to September 2020 respectively;

[0204] Step 10, analyze the business conditions and differences of small and micro enterprises in each industry:

[0205] According to the calculation results of the five indicators, analyze the business conditions of small and micro enterprises in each industry from January to September 2020 and the differences between industries for each indicator; Figures 4(a), (b), (c), (d), and (e) are respectively the changing trends of the five indicators of the year-on-year growth rate of daily average electricity consumption, electricity recovery rate, production rate, overproduction rate, and the proportion of unprosperous enterprises of small and micro enterprises in each industry from January to September 2020.

[0206] Based on the business conditions and operation trends of small and micro enterprises in 26 provinces (municipalities directly under the Central Government, autonomous regions) across the country from January to September 2020, summarize the economic prosperity of 26 provinces (municipalities directly under the Central Government, autonomous regions) across the country, each province, and each industry from January to September 2020.

[0207] The above-mentioned monitoring method for the operation trend of small and micro enterprises provided by the present invention can analyze the business conditions and operation trends of small and micro enterprises across the country, in each province, and in each industry, intuitively reflect the economic prosperity of the whole country, has very important practical significance, and can be widely applied to the monitoring of the operation trend of small and micro enterprises and the analysis of economic prosperity in each year.

[0208] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for monitoring the operation status of small and micro enterprises based on multi-indicator analysis of electricity consumption data, characterized in that: include: Step 1: obtain enterprise user information, and screen small and micro enterprises in the enterprise user information to determine the electricity consumption data of small and micro enterprises; Step 2: Analyze the electricity consumption data of small and micro enterprises and obtain the business status and operation status of small and micro enterprises; Step 3, according to the business status of the enterprises, obtain the monthly and quarterly information of the five indicators of the small and micro enterprises in the current year and the previous year, and establish the change curve of the five indicators based on the information of the five indicators; Step 4, divide the regions according to the regions of small and micro enterprises, and obtain the change curves of the five indicators in multiple regions; Step 5, divide the industries of small and micro enterprises into different categories and obtain the change curves of the five indicators in multiple industries.

2. A method for monitoring the operation status of small and micro enterprises based on multi-index analysis of electricity consumption data as claimed in claim 1, characterized in that: The small and micro enterprises mentioned above are corporate electricity users with an access capacity less than or equal to 160 kilovolt-amperes.

3. A method for monitoring the operation status of small and micro enterprises based on multi-index analysis of electricity consumption data as claimed in claim 1, characterized in that: The screening of small and micro enterprises in the enterprise user information includes: Screen and lock in low-voltage non-residential and high-voltage enterprise users with access capacity below 160 kVA; Among the screened and locked users, remove the users whose accounts have been cancelled; Users who keep metering points in an established and in-use state; Remove users whose energy meter ID and collection object ID are empty; Remove users whose running capacity is less than 0; Eliminate seasonal electricity and photovoltaic users.

4. A method for monitoring the operation status of small and micro enterprises based on multi-index analysis of electricity consumption data as claimed in claim 1, characterized in that: In step 1, the enterprise user information includes enterprise user profile information and electricity meter information of multiple provinces or municipalities; The step 1 also includes: Obtain user profiles, meter information, and other information from provinces and cities, and aggregate them into wide tables; Filter and select the information in the wide table according to the screening criteria for small and micro enterprises; Extract the daily electricity consumption information of the enterprises involved in the user profile.

5. The method for monitoring the operation status of small and micro enterprises based on multi-index analysis of electricity consumption data according to claim 1, characterized in that: In the step 2, analyzing the electricity consumption data of small and micro enterprises includes: extracting and evaluating the average daily electricity consumption year-on-year growth rate, electricity recovery rate, production capacity utilization rate, overproduction rate, and depressed enterprises contained in the electricity consumption data of small and micro enterprises, obtaining five indicators, and characterizing the overall operating status and operation status of small and micro enterprises based on the five indicators; Also, based on the electricity consumption information of small and micro enterprises, extract the daily electricity consumption information of small and micro enterprises in the current year and the previous year, and use it to analyze the operating situation of small and micro enterprises in the current year; The calculation is based on five evaluation items: year-on-year growth rate of average daily electricity consumption, electricity recovery rate, production capacity utilization rate, overproduction rate, and proportion of sluggish enterprises.

6. A method for monitoring the operation status of small and micro enterprises based on multi-index analysis of electricity consumption data as claimed in claim 5, characterized in that: The year-on-year growth rate of daily average electricity consumption is calculated by formula (1): Among them, w1 and w2 are the average daily electricity consumption in the current year and a month or a quarter of the previous year respectively; W1 and W2 are the total electricity consumption in the current year and a month or a quarter of the previous year respectively, that is, the sum of all daily electricity consumption in a month or a quarter, and the daily electricity consumption is the sum of the daily electricity consumption of all users participating in the electricity statistics on that day; n1 and n2 are all statistical days in a month or a quarter respectively.

7. The method for monitoring the operation status of small and micro enterprises according to claim 6, characterized in that: The users participating in electricity consumption statistics are users who have electricity consumption activities on the current day and on the same day of the previous year.

8. The method for monitoring the operation status of small and micro enterprises according to claim 5, characterized in that: The power recovery rate index is calculated according to formula (2): Power recovery rate = N h / N (2) Among them, N h is the total number of enterprises that resumed electricity use on that day, and N is the number of enterprise users participating in the electricity consumption statistics on that day; Among them, the power recovery enterprise is defined as the enterprise's daily power consumption w r For enterprise users whose electricity consumption is greater than or equal to 60% of the benchmark electricity consumption, that is, formula (3): In r ≥60%*in j (3) Among them, w j It is the average daily electricity consumption in the same month of the previous year, that is, (the sum of daily electricity consumption of enterprises in the same month of the previous year) / (the number of statistical days in the same month of the previous year).

9. The method for monitoring the operation status of small and micro enterprises according to claim 5, characterized in that: The production capacity utilization rate index is calculated according to formula (4): Production rate index = N d / N (4) Among them, N d is the total number of enterprises that reach full capacity on that day; enterprises that reach full capacity are defined as the daily electricity consumption of the enterprise w r Compared with the benchmark electricity consumption, the enterprise users with electricity consumption greater than or equal to 80% of the benchmark electricity consumption are: In r ≥80%*in j (5) Among them, w j It is the average daily electricity consumption in the same month of the previous year, that is, (the sum of daily electricity consumption of enterprises in the same month of the previous year) / (the number of statistical days in the same month of the previous year).

10. The method for monitoring the operation status of small and micro enterprises according to claim 5, characterized in that: The overproduction rate index is calculated according to formula (6): Overproduction rate index = N c / N (6) Among them, N c is the total number of enterprises with overproduction on that day; overproduction enterprises are defined as enterprises with daily electricity consumption w r Compared with the benchmark electricity consumption, the enterprise users whose electricity consumption is greater than or equal to 100% of the benchmark electricity consumption are as follows: In r ≥100%*in j (7) Among them, w j It is the average daily electricity consumption in the same month of the previous year, that is, (the sum of daily electricity consumption of enterprises in the same month of the previous year) / (the number of statistical days in the same month of the previous year).

11. The method for monitoring the operation status of small and micro enterprises according to claim 5, characterized in that: The specific calculation method of the proportion of depressed enterprises is as follows: The proportion of depressed enterprises = N j / N (6) Among them, N j is the total number of enterprises with overproduction on that day; overproduction enterprises are defined as enterprises with daily electricity consumption w r Compared with the benchmark electricity consumption, the enterprise users whose electricity consumption is less than or equal to 20% of the benchmark electricity consumption are: In r ≤20%*in j (7) Among them, w j It is the average daily electricity consumption in the same month of the previous year, that is, (the sum of daily electricity consumption of enterprises in the same month of the previous year) / (the number of statistical days in the same month of the previous year).

12. The method for monitoring the operation status of small and micro enterprises according to claim 1, characterized in that: The step 3 also includes: Calculate the five indicators of small and micro enterprises nationwide every month and quarter of the current year and the previous year, establish the change curve of the five indicators, and analyze the operating situation of small and micro enterprises and the overall economic prosperity across the country in the current year; Also, calculate the average daily electricity consumption of small and micro enterprises in the current year and the previous year, the number of enterprises participating in the daily electricity statistics in the current year and the previous year, and the electricity consumption parameters of small and micro enterprises with benchmark electricity; Based on the electricity-related parameters and five evaluation indicators, the five indicators of the year-on-year growth rate of daily average electricity consumption of small and micro enterprises nationwide, electricity recovery rate, production capacity utilization rate, overproduction rate, and the proportion of depressed enterprises were calculated for each month and quarter in the current year and the previous year, and the change curves of each indicator were established based on the calculation results; Based on the calculation results of the five indicators and compared with the indicators of the same period of the previous year, an analytical report is made on the operating status and economic prosperity of small and micro enterprises across the country in that year.

13. The method for monitoring the operation status of small and micro enterprises according to claim 1, characterized in that: The step 4 also includes: Small and micro enterprises are divided into provinces according to their locations, and five evaluation indicators of small and micro enterprises in each province are calculated every month and quarter of the year. The change curve of the five indicators is established to analyze the operating conditions of small and micro enterprises in each province and the differences between provinces in the year; In addition, calculate the monthly and quarterly average daily electricity consumption of small and micro enterprises in each province, the monthly and quarterly average daily electricity consumption of the previous year and the year before, the number of enterprises participating in the daily electricity statistics of the current year and the previous year, and the electricity consumption-related parameters of the benchmark electricity; Based on electricity-related parameters and five evaluation indicators, the five indicators of the year-on-year growth rate of daily average electricity consumption, electricity recovery rate, production capacity utilization rate, overproduction rate, and the proportion of depressed enterprises of small and micro enterprises in each province in each month and quarter of the year were calculated respectively, and the change curves of each indicator were established; Based on the changing curves of the five indicators, the operating conditions of small and micro enterprises in each province and the differences between the provinces were analyzed respectively.

14. The method for monitoring the operation status of small and micro enterprises according to claim 1, characterized in that: The step 5 also includes: Small and micro enterprises are divided into different industries, and five evaluation indicators of small and micro enterprises in each industry are calculated every month and quarter of the year. The change curve of the five indicators is established to analyze the operating conditions of small and micro enterprises in each industry and the differences between industries in the year; In addition, calculate the monthly and quarterly average daily electricity consumption of small and micro enterprises in each industry, the monthly and quarterly average daily electricity consumption of the previous year and the year before, the number of enterprises participating in the electricity statistics every day in the current year and the previous year, and the electricity consumption-related parameters of the benchmark electricity; Based on the electricity-related parameters and five evaluation indicators, the five indicators of the year-on-year growth rate of daily average electricity consumption, electricity recovery rate, production capacity utilization rate, overproduction rate, and the proportion of depressed enterprises of small and micro enterprises in each industry were calculated for each month and quarter of the year, and the curves of each indicator were established; Based on the indicator curve results of the five indicators, the business conditions of small and micro enterprises in each industry and the differences between industries in that year were analyzed respectively.

15. The method for monitoring the operation status of small and micro enterprises according to claim 1, characterized in that: The industries of small and micro enterprises include: agriculture, forestry, animal husbandry and fishery, mining, manufacturing, electricity, heat, gas and water production and supply, construction, wholesale and retail, transportation, warehousing and postal services, accommodation and catering, information transmission, software and information technology services, leasing and commercial services, scientific and technical services, water conservancy, environment and public facilities management, residential services, repairs and other services, culture, sports and entertainment.

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