User-side-oriented carbon emission management method and device and computer equipment

Abstract

The invention relates to a user-side-oriented carbon emission management method and device, computer equipment, a storage medium and a computer program product. Relates to the technical field of data processing. The method comprises the steps of determining a user type corresponding to a user based on behavior data of the user; according to the user type, carrying out point integration on the carbon emission behavior of the user in a preset point exchange period to obtain a total point; and determining a carbon emission management mode for the user according to the total point. By adopting the method, the utilization rate of low-carbon and energy-saving products and services by users can be improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a user-oriented carbon emission management method, apparatus, computer equipment, storage medium and computer program product. Background Art

[0002] With the introduction of the carbon neutrality goal, many electricity users are actively seeking green and low-carbon consumption. Therefore, developing a system architecture for green and low-carbon consumption on the user demand side and energy conservation, loss reduction and carbon reduction is an important way to promote the green and low-carbon transformation of energy.

[0003] However, most of the current carbon emission management work is based on the energy consumption ledger of the regulated party to fill in the carbon emission data, and this method cannot be based on the green and low-carbon energy demand of users in different scenarios. Data statistics cannot be accurately traced back to the energy consumption and carbon footprint of users; another part is based on the original "energy consumption monitoring system" and relies on the energy accounting system for inventory. This method cannot determine the carbon emission management method for different types of users based on energy sources and usage. Therefore, there is currently a problem of low user utilization of low-carbon energy-saving products and services. Summary of the invention

[0004] Based on this, it is necessary to provide a user-side carbon emission management method, device, computer equipment, computer-readable storage medium and computer program product to address the technical problem of low usage rate of low-carbon energy-saving products and services by the above-mentioned users.

[0005] In a first aspect, the present application provides a user-oriented carbon emission management method, including:

[0006] Determine the user type corresponding to the user based on the user's behavior data;

[0007] According to the user type, the carbon emission behavior of the user within a preset point redemption period is accumulated to obtain total points;

[0008] A carbon emission management method for the user is determined based on the total points.

[0009] In one of the embodiments, the carbon emission behavior of the user in a preset point redemption period is integrated according to the user type to obtain total points, including: determining the user's electricity price point correction coefficient according to the user type; and integrating the user's carbon emission behavior in a preset point redemption period according to the electricity price point correction coefficient to obtain total points.

[0010] In one of the embodiments, determining the electricity price integral correction coefficient for the user based on the user type includes: obtaining the electricity price corresponding to the user type and the highest electricity price among multiple preset user types; obtaining the ratio of the electricity price corresponding to the user type to the highest electricity price, and obtaining the electricity price integral correction coefficient corresponding to the user.

[0011] In one of the embodiments, the carbon emission behavior of the user within the preset point redemption period is integrated according to the electricity price point correction coefficient to obtain total points, including: obtaining the user's green electricity usage points according to the electricity price point correction coefficient and the user's green electricity usage within the preset point redemption period; obtaining the user's response electricity usage points according to the electricity price point correction coefficient and the user's actual response electricity consumption in the preset point redemption period; the response electricity consumption represents the user's reduced or increased electricity consumption; obtaining the user's substitution electricity usage points according to the electricity price point correction coefficient and the user's electricity substitution electricity consumption within the preset point redemption period; the electricity substitution electricity consumption represents the electricity that the user uses electricity to replace carbon emission energy; the green electricity usage points, the response electricity usage points and the substitution electricity usage points are added together to obtain the total points.

[0012] In one of the embodiments, determining the user type corresponding to the user based on the user's behavior data includes: obtaining the user's power consumption and power consumption rate based on the user's behavior data; comparing the power consumption and the power consumption rate with a preset power consumption threshold and a preset power consumption rate threshold, respectively; and determining the user type corresponding to the user based on the comparison result.

[0013] In one of the embodiments, determining the carbon emission management method for the user based on the total points includes: providing positive incentives to the user when the total points exceed the points threshold; and providing negative incentives to the user when the total points do not exceed the points threshold.

[0014] In a second aspect, the present application also provides a user-oriented carbon emission management device, including:

[0015] A user type determination module, used to determine the user type corresponding to the user based on the user's behavior data;

[0016] A total points acquisition module, used to accumulate points for the carbon emission behavior of the user within a preset points redemption period according to the user type, to obtain total points;

[0017] A management method determination module is used to determine the carbon emission management method for the user according to the total points.

[0018] In a third aspect, the present application further provides a computer device, the computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the following steps when executing the computer program:

[0019] Determine the user type corresponding to the user based on the user's behavior data;

[0020] According to the user type, the carbon emission behavior of the user within a preset point redemption period is accumulated to obtain total points;

[0021] A carbon emission management method for the user is determined based on the total points.

[0022] In a fourth aspect, the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0023] Determine the user type corresponding to the user based on the user's behavior data;

[0024] According to the user type, the carbon emission behavior of the user within a preset point redemption period is accumulated to obtain total points;

[0025] A carbon emission management method for the user is determined based on the total points.

[0026] In a fifth aspect, the present application further provides a computer program product, the computer program product comprising a computer program, which implements the following steps when executed by a processor:

[0027] Determine the user type corresponding to the user based on the user's behavior data;

[0028] According to the user type, the carbon emission behavior of the user within a preset point redemption period is accumulated to obtain total points;

[0029] A carbon emission management method for the user is determined based on the total points.

[0030] The above-mentioned carbon emission management method, device, computer equipment, storage medium and computer program product for the user side have the following beneficial effects in the process of carbon emission management for the user side: first, based on the user's behavior data, the user type corresponding to the user is determined; then, according to the user type, the user's carbon emission behavior within the preset point redemption period is integrated to obtain the total points; finally, according to the total points, the carbon emission management method for the user is determined. By analyzing the user's behavior data, the user type can be identified more accurately, so as to formulate a personalized carbon emission management strategy. The establishment of a points mechanism can motivate users to reduce carbon emissions, and the management of user carbon emissions through points can make the management process transparent, enhance the user's sense of participation, and thus increase the user's use of low-carbon energy-saving products and services. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 A schematic diagram of a process of a carbon emission management method for a user side in one embodiment;

[0033] Figure 2 A schematic flow chart of a total score determination step in one embodiment;

[0034] Figure 3 It is a flowchart of the steps of determining the electricity price integral correction coefficient corresponding to the user type in one embodiment;

[0035] Figure 4 A schematic flow chart of a total score determination step in another embodiment;

[0036] Figure 5 is a structural block diagram of a carbon emission management device facing the user side in one embodiment;

[0037] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0039] The present application embodiment provides a user-oriented carbon emission management method, which can be applied to Figure 1 In the application environment shown.

[0040] In one embodiment, Figure 1 As shown, a carbon emission management method for the user side is provided. This embodiment takes the method applied to a terminal as an example. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps S102 to S106. Among them:

[0041] Step S102: determining the user type corresponding to the user based on the user's behavior data.

[0042] Among them, user behavior data can be the user's activity records; user type is the classification result obtained based on the analysis of the user's behavior data.

[0043] Optionally, the user's behavioral data may include the frequency of use of transportation, the duration of use of electrical appliances, etc.; the user's activity records can be obtained through data collection methods; user types can be divided into users with strong environmental awareness, ordinary users, and users with weak environmental awareness, etc. In this application, user types can include industrial and commercial users, residential users, agricultural and rural users, and transportation users.

[0044] Step S104, according to the user type, the carbon emission behavior of the user within the preset point redemption period is integrated to obtain the total points.

[0045] Among them, the points redemption period is the time frame within which points can be accumulated and redeemed within a specific period of time; carbon emission behavior is the carbon emission activities generated by users in their daily lives; total points are the total points obtained by users during the points redemption period, usually based on the user's low-carbon behavior.

[0046] Optionally, the points redemption period can be set arbitrarily according to demand, such as one month, one quarter, etc.; carbon emission behaviors may include transportation, energy use, etc.

[0047] Step S106: Determine the carbon emission management method for the user according to the total points.

[0048] Among them, the carbon emission management method is to formulate corresponding management strategies and measures based on the user's total points.

[0049] Specifically, the carbon emission management method can be personalized for users with lower total points to help them reduce carbon emissions; points redemption policies can also be provided to users with higher total points, such as using points to redeem discounts on green products, public transportation fare coupons, etc.

[0050] In the above-mentioned carbon emission management method for the user side, the user type corresponding to the user is first determined based on the user's behavior data; then, according to the user type, the user's carbon emission behavior within the preset point redemption period is integrated to obtain the total points; finally, according to the total points, the carbon emission management method for the user is determined. By analyzing the user's behavior data, the user type can be identified more accurately, so as to formulate a personalized carbon emission management strategy. The establishment of a points mechanism can motivate users to reduce carbon emissions, and user carbon emission management through points can make the management process transparent, enhance the user's sense of participation, and thus increase the user's use of low-carbon energy-saving products and services.

[0051] In an exemplary embodiment, Figure 2 As shown, step S104 accumulates points for the carbon emission behavior of the user within the preset points redemption period according to the user type to obtain the total points, including:

[0052] Step S202, determining the electricity price points correction coefficient for the user according to the user type; Step S204, integrating the carbon emission behavior of the user within a preset points redemption period according to the electricity price points correction coefficient to obtain total points.

[0053] Among them, the electricity price integral correction coefficient is a coefficient used to adjust the user's integral, and varies according to the different adaptability of the user type.

[0054] Specifically, since electricity prices for different user types, such as industrial and commercial users, residential users, agricultural and rural users, and transportation users, are different, the benefits brought to power plants and power grid companies are also different. Therefore, when using the same amount of electricity, the compensation for different user types should also be different. The points awarded to different user types can be adjusted according to the electricity price points correction coefficient.

[0055] In this embodiment, by determining the electricity price point correction coefficient, which in turn affects the calculation of points for users during the point redemption period, and then scoring points for the user's carbon emission behavior during the point redemption period based on the electricity price point correction coefficient, the user's carbon emission behavior can be more fairly reflected, thereby encouraging users to adopt a lower-carbon lifestyle.

[0056] Further, in one embodiment, if Figure 3 As shown, according to the user type, the electricity price integral correction coefficient for the user is determined, including:

[0057] Step S302, obtaining the electricity price corresponding to the user type and the highest electricity price among multiple preset user types; Step S304, obtaining the ratio of the electricity price corresponding to the user type and the highest electricity price, and obtaining the electricity price integral correction coefficient corresponding to the user.

[0058] Among them, the maximum electricity price is the highest electricity price that can be achieved among multiple preset user types, indicating the most environmentally unfriendly electricity usage behavior or the most unfavorable user type. By determining the maximum electricity price, a benchmark can be set for the electricity prices of other user types for comparison and correction.

[0059] For example, if k is the user type, it includes four categories: industrial and commercial users, residential users, agricultural and rural users, and transportation users; W k is the electricity price for this user; maxW k is the highest electricity price for all types of users, then the expression of the electricity price integral correction coefficient is as follows:

[0060]

[0061] In this embodiment, the electricity price corresponding to the user type is obtained, and the highest electricity price among the preset multiple user types is determined. Then, the ratio of the electricity price corresponding to the user type to the highest electricity price is calculated to obtain the electricity price point correction coefficient corresponding to the user, and then a more reasonable point management strategy can be formulated according to the user's electricity consumption behavior and relative electricity price level to encourage users to adopt a lower carbon lifestyle.

[0062] In one embodiment, Figure 4 As shown, according to the electricity price point correction coefficient, the user's carbon emission behavior within the preset point redemption period is integrated to obtain the total points, including:

[0063] Step S402, obtaining the user's green electricity usage points according to the electricity price point correction coefficient and the user's green electricity usage within a preset point redemption period;

[0064] Step S404, obtaining the user's response power usage points according to the electricity price point correction coefficient and the actual response power of the user participating in the demand within the preset point redemption period; the response power indicates the user's reduced or increased power consumption;

[0065] Step S406, obtaining the user's replacement electricity usage points according to the electricity price point correction coefficient and the user's electricity replacement electricity within a preset point redemption period; the electricity replacement electricity indicates the electricity used by the user to replace carbon emission energy;

[0066] Step S408: Add the green electricity usage points, the response electricity usage points and the alternative electricity usage points to obtain a total point.

[0067] Among them, one points redemption cycle includes multiple points recording cycles.

[0068] Among them, the amount of green electricity used includes three parts: direct purchase of green electricity, self-generated and self-used green electricity, and indirect use of green electricity; direct purchase of green electricity refers to the purchase of green electricity through market-based transactions, which is based on the green electricity settlement certificate or bill; self-generated and self-used green electricity refers to the amount of distributed power generation consumed by users, which is measured and approved by the power grid marketing service department; indirect use of green electricity is calculated based on the settlement certificate of the power user participating in the green electricity certificate transaction and the purchased green electricity certificate.

[0069] For example, if S LT is the green electricity points obtained by the user within a points redemption period T; q is the total number of times the user uses green electricity points within the points redemption period T; β k k is the electricity price integral correction coefficient for this user type; i is the user energy consumption structure integral coefficient of the i-th integral recording period, see Table 1; L i，绿电 is the user's green electricity usage in the i-th points recording period, in kilowatt-hours (kWh); L i，直购绿电 is the total amount of green electricity purchased during the i-th integral recording period, in kilowatt-hours (kWh); L i，自发自用绿电 is the total amount of green electricity generated and used by oneself during the i-th integral recording period, in kilowatt-hours (kWh); L i，绿证 is the amount of electricity corresponding to the purchase of green electricity certificates during the i-th points recording period, in kilowatt-hours (kWh), then the green electricity usage points S LT The calculation expression is as follows:

[0070]

[0071]

[0072] Table 1 User energy structure integral coefficient table

[0073]

[0074] If S XT is the demand response points obtained by the user within a points redemption period T; e is the total number of times the user participates in demand response within a points redemption period T; β k Q is the electricity price integral correction coefficient for this user type; i，XT is the actual response power of the ith participation in demand response, in kilowatt-hours (kWh); Ti is the total duration of the ith participation in demand response, in hours (h); P t i，on is the total load power at time t when participating in load aggregation scheduling, in kilowatts (kW); P t i，offis the total load power at time t without participating in load aggregation scheduling, in kilowatts (kW); t i，dur The duration of each scheduling period is in hours (h), and the response power usage integral S XT The calculation expression is as follows:

[0075]

[0076]

[0077] If S TD The electric energy replacement points obtained by the user within a points redemption period T; β k Q is the electricity price integral correction coefficient for this user type; TD The electricity replacement amount points S obtained by users in a points redemption period T is the amount of electricity replaced by the user in the points redemption period. The specific value can be obtained from the power grid company. TD The calculation expression is:

[0078] S TD =β k Q TD ;

[0079] Therefore, calculate the total points S obtained by the user within a points redemption period T ZT The expression is:

[0080] S ZT =S LT +S XT +S TD ;

[0081] Where: S ZT S is the total points earned by the user within a points redemption period T; LT S is the green electricity points obtained by the user within a points redemption period T; XT S is the demand response points obtained by the user within a points redemption period T; TD It refers to the electricity replacement points obtained by the user within a points redemption period T.

[0082] In this embodiment, through the point system, users are encouraged to choose green electricity, participate in demand response and use electricity instead of traditional energy, thereby promoting the popularization of environmental protection behavior; the demand response mechanism can help users reasonably adjust electricity consumption during peak hours, reduce grid load, and improve overall energy efficiency; by rewarding the use of green electricity, users are encouraged to choose more renewable energy and reduce dependence on fossil fuels; the point system can enhance the user's sense of participation and responsibility, make them pay more attention to their own carbon emission behavior, and actively participate in environmental protection activities.

[0083] Specifically, in one embodiment, determining the user type corresponding to the user based on the user's behavior data includes:

[0084] Based on the user's behavior data, the user's power consumption and power consumption rate are obtained; the power consumption and power consumption rate are compared with a preset power consumption threshold and a preset power consumption rate threshold respectively; and the user type corresponding to the user is determined according to the comparison result.

[0085] Exemplarily, different consumption ranges are set based on a preset power consumption threshold and a preset power consumption rate threshold; when the power consumption and the power consumption rate are both within a first consumption range, the user type corresponding to the user is determined to be the first type; when the power consumption and the power consumption rate are both within a second consumption range, the user type corresponding to the user is determined to be the second type; when the power consumption and the power consumption rate are both within a third consumption range, the user type corresponding to the user is determined to be the third type; when the power consumption and the power consumption rate are both within a fourth consumption range, the user type corresponding to the user is determined to be the fourth type.

[0086] Among them, the first type, the second type, the third type and the fourth type can correspond to industrial and commercial users, residential users, agricultural and rural users, and transportation users respectively.

[0087] In this embodiment, by dividing users into different types, personalized electricity management strategies can be formulated for different types of users, and more targeted services and suggestions can be provided; high-energy-consuming users can be identified and corresponding energy-saving suggestions can be provided, encouraging users to take measures to reduce electricity consumption, thereby reducing carbon emissions; by understanding users' electricity usage behavior, the allocation of power resources can be better optimized, the grid load can be balanced, and power supply efficiency can be improved.

[0088] In one embodiment, the carbon emission management method for the user is determined based on the total points, including:

[0089] When the total points exceed the points threshold, the user is given positive incentives; when the total points do not exceed the points threshold, the user is given negative incentives.

[0090] Among them, positive incentives can be a point compensation system, that is, giving corresponding points rewards according to the user's energy-saving and emission-reduction behavior, establishing a positive reward mechanism, promoting users to adopt green and low-carbon behaviors, and obtaining corresponding green benefits; users can earn points through energy-saving behaviors, such as turning off unnecessary electrical appliances, using high-efficiency energy equipment, and choosing public transportation, and use points to redeem rewards, such as coupons, gift cards, free services, etc., or establish a user rating system based on the number of points, and evaluate and classify users according to their energy-saving and emission-reduction behaviors and participation; users of different levels can enjoy different degrees of rewards and privileges, for example, high-level users can get more points, discounts or exclusive discounts. In addition, a discount system can also be set up, that is, by cooperating with relevant companies, discounts can be provided when purchasing low-energy appliances or using low-carbon travel methods to encourage users to choose energy-saving and environmentally friendly products and services.

[0091] Furthermore, an energy consumption tax can be introduced to charge high energy users an additional fee. This tax mechanism can determine the rate based on the user's energy consumption level and collect the corresponding tax in the energy bill. High energy users will face higher economic pressure, which will encourage them to reduce the use of high-carbon emission energy and switch to clean low-carbon energy. Additional excess energy fees can be charged to high energy users. Similar to energy consumption taxes, excess energy fees can be calculated based on the user's energy consumption and reflected in the energy bill. The fee setting can be determined based on energy consumption exceeding a certain benchmark value or standard.

[0092] In this embodiment, positive incentives are used to encourage users to actively participate in environmental protection activities, enhance their awareness of green electricity use, and promote sustainable development; negative incentives can effectively prompt users to reflect on their electricity use behavior, take measures to reduce electricity consumption, and improve electricity use habits.

[0093] More importantly, establish a reverse metering and settlement mechanism on the user side, that is, measure according to the actual energy consumption and carbon emissions of users, and formulate corresponding compensation measures based on this to encourage users to reduce energy consumption and carbon emissions; Smart meter and sensor installation Grid companies can install smart meters and sensors to monitor users' energy usage and carbon emissions, and can record energy consumption data in real time or regularly, including electricity consumption, water consumption, gas usage, etc., and collect and analyze data through connected systems; Energy consumption and carbon emissions measurement Based on the data of smart meters and sensors, the energy consumption of users is measured. Different metering cycles can be set, such as monthly, quarterly or annually, to obtain the total energy consumption and carbon emissions of users. According to the source and use of energy, determine the carbon emission factor corresponding to different energy consumption. This can take into account factors such as the origin, type and conversion efficiency of energy to accurately estimate the carbon emissions of users; Make corresponding compensation Based on the energy consumption and carbon emissions of users, grid companies formulate corresponding compensation measures. This can include direct economic compensation, point rewards, energy fee reductions or other forms of incentives. The specific design of compensation measures takes into account fairness, operability and incentive effects, or establishes a management and operation system for the compensation mechanism, including data collection, metering, compensation calculation, and compensation payment. Ensure the accuracy of data, the reliability of calculation, and ensure the timely payment and recording of compensation. The user-side reverse metering and settlement mechanism provides users with compensation measures based on actual conditions by real-time or regular monitoring of energy consumption and carbon emissions, thereby encouraging them to take energy-saving and emission-reduction actions. This mechanism can help users quantify their own energy consumption and carbon footprint, and encourage users to reduce energy use and carbon emissions through incentives, thereby achieving low-carbon energy-saving goals; in addition, the service effect feedback survey and improvement mechanism is used to collect and analyze user feedback and evaluations on products or services, build an evaluation feedback system, promote users to obtain electricity evaluation, establish a user evaluation mechanism covering online and offline, improve evaluation channels, and promote service product optimization and upgrading. The evaluation feedback system can help understand user satisfaction and needs for products or services, discover and solve problems in a timely manner, and improve the quality and performance of products or services.

[0094] By imposing additional fees or restrictions on high-energy consumption and high-carbon emission users, they are encouraged to reduce energy use and carbon emissions; by studying the formation mechanism of economic compensation for green power trading, the enthusiasm and potential of power users to consume green power are enhanced through compensation methods such as fee reductions; the user-side reverse metering and settlement mechanism provides users with compensation measures based on actual conditions through real-time or regular monitoring of energy consumption and carbon emissions, thereby encouraging them to take energy-saving and emission reduction actions, which can help users quantify their own energy consumption and carbon footprint, and encourage users to reduce energy use and carbon emissions through incentives, thereby achieving low-carbon energy-saving goals; the user-side reverse metering and settlement mechanism measures according to the actual energy consumption and carbon emissions of users, and formulates corresponding compensation measures based on this to encourage users to reduce energy consumption and carbon emissions, including a positive reward mechanism for low-carbon energy conservation on the user side, a negative incentive mechanism for high energy consumption and high carbon emissions on the user side, and a reverse metering and calculation mechanism on the user side, aiming to design and implement feasible mechanisms to increase users' acceptance and utilization of low-carbon energy-saving products and services, thereby promoting the overall low-carbon energy-saving transformation of society.

[0095] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0096] Based on the same inventive concept, the embodiment of the present application also provides a user-side carbon emission management device for implementing the user-side carbon emission management method involved above. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above method, so the specific limitations in one or more user-side carbon emission management device embodiments provided below can refer to the limitations of the user-side carbon emission management method above, and will not be repeated here.

[0097] In an exemplary embodiment, Figure 5 As shown, a carbon emission management device for the user side is provided, including: a user type determination module 501, a total points acquisition module 502 and a management mode determination module 503, wherein:

[0098] The user type determination module 501 is used to determine the user type corresponding to the user based on the user's behavior data.

[0099] The total points acquisition module 502 is used to accumulate points for the carbon emission behavior of the user within a preset points redemption period according to the user type to obtain total points.

[0100] The management mode determination module 503 is used to determine the carbon emission management mode for the user according to the total points.

[0101] Furthermore, in one embodiment, the total points acquisition module 502 is also used to determine the electricity price points correction coefficient for the user according to the user type; based on the electricity price points correction coefficient, the user's carbon emission behavior within a preset points redemption period is integrated to obtain total points.

[0102] Furthermore, in one embodiment, the total points acquisition module 502 is also used to obtain the electricity price corresponding to the user type and the highest electricity price among multiple preset user types; obtain the ratio of the electricity price corresponding to the user type and the highest electricity price, and obtain the electricity price points correction coefficient corresponding to the user.

[0103] Furthermore, in one embodiment, the total points acquisition module 502 is also used to obtain the user's green electricity usage points based on the electricity price points correction coefficient and the user's green electricity usage within a preset points redemption period; obtain the user's response electricity usage points based on the electricity price points correction coefficient and the user's actual response electricity consumption in participating in the demand within the preset points redemption period; the response electricity consumption represents the user's reduced or increased electricity consumption; obtain the user's substitute electricity usage points based on the electricity price points correction coefficient and the user's electricity substitution electricity consumption within the preset points redemption period; the electricity substitution electricity consumption represents the electricity that the user uses to replace carbon emission energy; the green electricity usage points, the response electricity usage points and the substitute electricity usage points are added together to obtain the total points.

[0104] Furthermore, in one embodiment, the user type determination module 501 is also used to obtain the user's power consumption and power consumption rate based on the user's behavior data; compare the power consumption and the power consumption rate with a preset power consumption threshold and a preset power consumption rate threshold, respectively; and determine the user type corresponding to the user based on the comparison result.

[0105] Furthermore, in one embodiment, the management mode determination module 503 is also used to provide positive incentives to the user when the total points exceed the points threshold; and to provide negative incentives to the user when the total points do not exceed the points threshold.

[0106] Each module in the above-mentioned user-side carbon emission management device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0107] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store carbon emission management data for the user side. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a carbon emission management method for the user side is implemented.

[0108] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0109] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0110] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0111] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0112] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0113] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0114] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0115] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A user-oriented carbon emission management method, characterized in that: The method comprises: Determine the user type corresponding to the user based on the user's behavior data; According to the user type, the carbon emission behavior of the user within a preset point redemption period is accumulated to obtain total points; A carbon emission management method for the user is determined based on the total points.

2. The method according to claim 1, characterized in that According to the user type, the carbon emission behavior of the user within the preset point redemption period is scored to obtain the total points, including: Determining a correction coefficient for the electricity price points of the user according to the user type; According to the electricity price point correction coefficient, the carbon emission behavior of the user within a preset point redemption period is integrated to obtain total points.

3. The method according to claim 2, characterized in that The step of determining the electricity price integral correction coefficient for the user according to the user type includes: Obtaining the electricity price corresponding to the user type and the highest electricity price among multiple preset user types; The ratio of the electricity price corresponding to the user type to the maximum electricity price is obtained to obtain the electricity price integral correction coefficient corresponding to the user.

4. The method according to claim 2, characterized in that: The step of integrating the carbon emission behavior of the user within a preset point redemption period according to the electricity price point correction coefficient to obtain total points includes: Obtaining the green electricity usage points of the user according to the electricity price points correction coefficient and the green electricity usage of the user within the preset points redemption period; According to the electricity price integral correction coefficient and the actual response power of the user participating in the demand within the preset integral redemption period, the response power usage points of the user are obtained; the response power represents the reduction or increase of the power consumption of the user; According to the electricity price point correction coefficient and the amount of electricity substituted by the user within the preset point redemption period, the user's substitution electricity usage points are obtained; the electricity substituted amount represents the amount of electricity used by the user to replace carbon emission energy; The green electricity usage points, the response electricity usage points and the alternative electricity usage points are added together to obtain the total points.

5. The method according to claim 1, characterized in that The determining the user type corresponding to the user based on the user's behavior data includes: Based on the user's behavior data, obtaining the user's power consumption and power consumption rate; Respectively comparing the power consumption and the power consumption rate with a preset power consumption threshold and a preset power consumption rate threshold; According to the comparison result, the user type corresponding to the user is determined.

6. The method according to claim 1, characterized in that Determining the carbon emission management method for the user according to the total points includes: When the total points exceed the points threshold, positive incentives are provided to the user; When the total points do not exceed the points threshold, negative incentives are given to the user.

7. A carbon emission management device for the user side, characterized in that: The device comprises: A user type determination module, used to determine the user type corresponding to the user based on the user's behavior data; A total points acquisition module, used to accumulate points for the carbon emission behavior of the user within a preset points redemption period according to the user type, to obtain total points; A management method determination module is used to determine the carbon emission management method for the user according to the total points.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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