Construction method of carbon Plevatory standard system

Abstract

The invention relates to the technical field of carbon popularity data processing, and particularly discloses a carbon popularity standard system construction method, which comprises a carbon popularity network transmission anomaly detection system, a historical carbon behavior analysis system, a carbon behavior analysis system and a carbon behavior storage system. By acquiring and analyzing the network data transmission state data to which the user carbon behavior data in the carbon popularity system belongs in the transmission process, problems occurring in the data transmission process can be found in time, the accuracy and integrity of data transmission are ensured, the user historical carbon behavior data related to the power keywords are acquired, and the user experience is improved. According to the method, the power utilization habit and the carbon emission condition of the user can be known, data support is provided for follow-up user carbon emission reduction reference, the user can manage carbon behaviors according to the referenced carbon emission standard and obtain user power carbon behavior data, the carbon emission condition of the user can be comprehensively evaluated, the carbon emission level of the user can be reflected more accurately, and the user experience is improved. And the accuracy and scientificity of carbon behavior evaluation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon inclusiveness data processing, and in particular to a method for constructing a carbon inclusiveness standard system. Background Art

[0002] At present, with the increasingly severe global climate change, reducing greenhouse gas emissions and promoting green and low-carbon development have become important issues. Enterprises and individuals are encouraged to participate in energy conservation and emission reduction to achieve sustainable development goals. The carbon credit mechanism, as an innovative way of emission reduction, has effectively stimulated environmental awareness and participation from all sectors of society by quantifying and rewarding the public's low-carbon behavior.

[0003] For example, the invention patent with publication number CN117575694A discloses a carbon emission reduction trading method, device, carbon benefit platform, equipment and medium, the method including: receiving first behavior data generated by at least one low-carbon behavior of an enterprise user recorded by the enterprise user end and / or the scenario provider end; settling the first behavior data according to a preset scenario algorithm, and issuing low-carbon rights to the enterprise user based on the obtained settling result data, and the low-carbon rights at least include carbon emission reduction; after the low-carbon rights of the enterprise user are verified by the management end and the carbon certification agency end, the low-carbon rights of the enterprise user are traded with other enterprise users through the carbon exchange end.

[0004] For example, the invention patent with publication number CN117575693A discloses a carbon inclusive platform and a carbon inclusive system, which involves a carbon inclusive platform and a carbon inclusive system. The platform is built based on the B / S architecture, and includes, from bottom to top: a technical underlying module, a product module, a service module, and a top-level application module; the technical underlying module uses cloud computing as the computing power basis, and integrates blockchain technology, big data technology, artificial intelligence technology, and privacy computing technology to form a back-end SaaS; the product module can provide the following functions: redemption mall, low-carbon consulting, emission reduction calculation, public welfare donation, task management, knowledge quiz, emission reduction game, and data screen; the service module can provide the following functions: carbon certification, carbon training, carbon finance, carbon trading, carbon reporting, and carbon planning; and provides an external cooperation interface and a user-facing client for the top-level application module.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0006] In the existing carbon credit system, analysis is usually performed directly through recorded low-carbon behavior data. However, there is no guarantee that the recorded low-carbon behavior data is accurate. The analysis and evaluation results based on these low-carbon behavior data will also be affected, resulting in inaccurate evaluation of users' low-carbon behavior, thus affecting the construction of the carbon credit standard system. Summary of the invention

[0007] In view of the deficiencies in the prior art, the present invention provides a method for constructing a carbon credit standard system, which can effectively solve the problems involved in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for constructing a carbon inclusive standard system, comprising: S1. A transmission anomaly detection system for the network in carbon inclusiveness: The carbon inclusiveness system collects carbon usage-related data of the user to be analyzed during the carbon usage behavior cycle, and records it as user carbon behavior data, thereby analyzing the network data transmission status data of the user's carbon behavior data in the carbon inclusiveness system during the transmission process, and obtaining the network data transmission index of the carbon inclusiveness system, and comparing it with the network data transmission index boundary value of the carbon inclusiveness system preset in the standard system database to obtain a comparison result, and judging whether it is necessary to issue an early warning prompt for the data transmission status of the network in the carbon inclusiveness system according to the comparison result.

[0009] S2. Historical carbon behavior analysis system: obtain user history carbon behavior data related to electricity keywords, analyze to obtain user historical electricity carbon behavior indicators, and match them with user carbon behavior reference data corresponding to each user's historical electricity carbon behavior indicator interval preset in the standard system database to obtain user electricity carbon behavior reference data corresponding to the user's historical electricity carbon behavior indicators.

[0010] S3. Carbon behavior analysis system: The carbon behavior data related to the electricity keyword in the user's carbon behavior data is recorded as the user's electricity carbon behavior data, and a comprehensive analysis is performed with the user's electricity carbon behavior reference data and the network data transmission indicators of the carbon benefit system to obtain the user's electricity carbon behavior index.

[0011] S4. Carbon behavior storage system: Compare the user's electricity carbon behavior index with the user's electricity carbon behavior index threshold preset in the standard system database to obtain a comparison result, and finally determine whether to store the user's electricity carbon behavior data in the carbon benefit system based on the comparison result.

[0012] As a further method, the network data transmission index of the carbon credit system is specifically analyzed as follows:

[0013] The average capacity of user carbon behavior data packets, data packet loss rate, average transmission times of user carbon behavior data packets, average transmission time rate of user carbon behavior data packets and average throughput of the network within the data transmission detection period are comprehensively analyzed to obtain the network data transmission indicators of the carbon credit system.

[0014] As a further method, the comparison result is used to determine whether it is necessary to issue an early warning for the data transmission status of the network in the carbon credit system. The specific comparison process is as follows:

[0015] If the network data transmission index of the carbon credit system is less than or equal to the preset network data transmission index limit value of the carbon credit system, the comparison result is recorded as the first comparison result.

[0016] If the network data transmission index of the carbon credit system is greater than the preset network data transmission index limit value of the carbon credit system, the comparison result is recorded as the second comparison result.

[0017] If the comparison result is the first comparison result, an early warning will be issued for the data transmission status of the network in the carbon credit system.

[0018] As a further method, the user's historical electricity carbon behavior indicator, the specific analysis process is:

[0019] Obtain the historical network data transmission indicators of the carbon credit system corresponding to the user's historical carbon behavior data related to the electricity keyword during the data transmission process.

[0020] The average operating power of each power equipment in the historical carbon behavior cycle is subtracted from the reference operating power of each power equipment preset in the standard system database to obtain the operating power deviation value of each power equipment in the historical carbon behavior cycle.

[0021] The historical carbon behavior data of the user related to the electricity keyword is comprehensively analyzed during the data transmission process, including the historical network data transmission indicators of the carbon credit system, the average temperature of the environment during the historical carbon behavior cycle, the operating time of each power equipment during the historical carbon behavior cycle, the carbon emissions and the operating power deviation value, to obtain the user's historical electricity carbon behavior indicators.

[0022] As a further method, the user electricity carbon behavior index, the specific analysis process is:

[0023] The network data transmission index of the carbon credit system, the average allowed operating time of power equipment, the average allowed energy consumption of power equipment, the operating time of each power equipment in the carbon behavior cycle, energy consumption, average energy efficiency ratio and load rate are comprehensively analyzed to obtain the user power carbon behavior index. The specific analysis method is as follows:

[0024]

[0025] Where cb is the user electricity carbon behavior index, e is a natural constant, a is the number of each power equipment, a = 1, 2, 3, ..., b, b is the total number of power equipment, yc a is the operating time of the ath power equipment in the carbon behavior cycle, Δyc is the average allowed operating time of the power equipment, xh ais the energy consumption of the ath power equipment in the carbon behavior cycle, Δxh is the average allowable energy consumption of the power equipment, and fz a is the load rate of the ath power equipment in the carbon behavior cycle, k1 is the carbon behavior impact index corresponding to the load rate unit value preset in the standard system database, NTP is the network data transmission index of the carbon benefit system, k2 is the carbon behavior impact index corresponding to the network data transmission index unit value preset in the standard system database, nx a The average energy efficiency ratio of the ath power equipment during the carbon behavior cycle, k3 is the carbon behavior impact index corresponding to the average energy efficiency ratio unit value preset in the standard system database.

[0026] As a further method, the final determination of whether to store the user's electricity carbon behavior data into the carbon credit system is based on the comparison result. The specific comparison process is as follows:

[0027] If the user's electricity carbon behavior index is less than the user's electricity carbon behavior index threshold preset in the standard system database, the comparison result will be recorded as high-carbon behavior, and an early warning prompt will be issued for the high-carbon behavior.

[0028] If the user's electricity carbon behavior index is greater than or equal to the user's electricity carbon behavior index threshold preset in the standard system database, the comparison result will be recorded as low-carbon behavior, and the user's carbon behavior data will be stored in the carbon credit system.

[0029] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0030] (1) The present invention can timely discover problems arising in the data transmission process by obtaining the network data transmission status data of the user's carbon behavior data in the carbon credit system during the transmission process, ensure the accuracy and completeness of the data transmission, and analyze and obtain the network data transmission index of the carbon credit system. The network data transmission index of the carbon credit system is compared with the network data transmission index boundary value of the carbon credit system preset in the standard system database, which helps to give early warning of potential network problems, thereby avoiding data loss due to network transmission failure. When data transmission abnormality is detected, an early warning prompt can be issued to remind relevant personnel to take timely measures to reduce the inconvenience caused by data delay or loss.

[0031] (2) The present invention can understand the user's electricity usage habits and carbon emissions by acquiring the user's historical carbon behavior data related to electricity keywords, and analyze the user's historical electricity carbon behavior indicators to provide data support for subsequent user carbon emission reduction references. The user's historical electricity carbon behavior indicators are matched with the user's carbon behavior reference data corresponding to each user's historical electricity carbon behavior indicator interval preset in the standard system database to obtain the user's historical electricity carbon behavior reference data corresponding to the user's historical electricity carbon behavior indicators. This can provide the user with a reference carbon emission standard, and the user can manage carbon behavior according to the reference carbon emission standard.

[0032] (3) The present invention obtains user electricity carbon behavior data and conducts a comprehensive analysis with user electricity carbon behavior reference data and network data transmission indicators of the carbon credit system. It can comprehensively evaluate the user's carbon emissions and consider the impact of data transmission quality on the evaluation results to obtain the user's electricity carbon behavior index, which more accurately reflects the user's carbon emission level and improves the accuracy and scientificity of carbon behavior evaluation.

[0033] (4) The present invention compares the user's electricity carbon behavior index with the user's electricity carbon behavior index threshold preset in the standard system database, and can determine whether the user's carbon emission level meets the standard, providing the user with a clear carbon emission standard, which helps to understand whether the user's carbon emission performance meets the requirements. Finally, based on the comparison results, it is determined whether to store the user's electricity carbon behavior data in the carbon benefit system, ensuring that only user data that meets the requirements is included in the system, thereby improving the quality and credibility of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0035] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0037] Reference Figure 1As shown, the present invention provides a method for constructing a carbon credit standard system, including: S1. A transmission anomaly detection system for a network in carbon credit: The carbon credit system collects carbon usage-related data of the user to be analyzed within the carbon usage behavior cycle, and records it as user carbon behavior data, thereby analyzing the network data transmission status data to which the user carbon behavior data in the carbon credit system belongs during the transmission process, and obtaining the network data transmission index of the carbon credit system, and comparing it with the network data transmission index boundary value of the carbon credit system preset in the standard system database to obtain a comparison result, and determining whether it is necessary to issue an early warning prompt for the data transmission status of the network in the carbon credit system according to the comparison result.

[0038] It needs to be explained that the above-mentioned carbon credit is an innovative voluntary emission reduction mechanism, which aims to quantify and record the emission reduction behaviors of enterprises and the public and encourage enterprises and users to actively participate in the carbon credit mechanism through corresponding reward policies. The carbon credit standard system mainly focuses on the energy conservation and carbon reduction behaviors of small and micro enterprises, community households and individuals. The user's carbon behavior data includes but is not limited to low-carbon travel such as walking, cycling, and using public transportation, green office such as reducing paper use, electricity energy use such as electrical appliance usage, household electricity consumption behavior, and waste disposal such as recycling and garbage sorting. This application mainly constructs a carbon credit standard system through the user's behavior of using electricity energy.

[0039] S2. Historical carbon behavior analysis system: obtain user history carbon behavior data related to electricity keywords, analyze to obtain user historical electricity carbon behavior indicators, and match them with user carbon behavior reference data corresponding to each user's historical electricity carbon behavior indicator interval preset in the standard system database to obtain user electricity carbon behavior reference data corresponding to the user's historical electricity carbon behavior indicators.

[0040] S3. Carbon behavior analysis system: The carbon behavior data related to the electricity keyword in the user's carbon behavior data is recorded as the user's electricity carbon behavior data, and a comprehensive analysis is performed with the user's electricity carbon behavior reference data and the network data transmission indicators of the carbon benefit system to obtain the user's electricity carbon behavior index.

[0041] It should be explained that the user's historical carbon behavior data related to the electricity keyword and the user's electricity carbon behavior data are obtained by extracting the electricity keyword from the user's carbon behavior data. The specific electricity keyword extraction process is as follows:

[0042] In order to extract the electricity-related parts from the massive user carbon behavior data, it is necessary to first define some "electricity keywords", which include words related to electricity consumption, such as "electricity consumption", "electricity consumption", "electrical appliance use", "electrical energy", etc.; descriptions related to energy efficiency, such as "energy saving", "low-carbon electricity", "green electricity", etc.; characteristics of electricity sources or equipment, such as "power equipment", "LED lighting", "smart meters", etc.; in the collected user carbon behavior data, the Carbon HP system will use the natural language processing (NLP) method to identify the part containing the electricity keyword. This process is equivalent to "labeling" or "marking" the original user carbon behavior data, and extracting the data related to electricity use, thereby obtaining the user's historical carbon behavior data related to the electricity keywords and the user's electricity carbon behavior data.

[0043] In this embodiment, the above-mentioned historical carbon behavior analysis system and carbon behavior analysis system are both carbon credit accounting methods, and are set as the first-level subsystem in the standard system to achieve systematic management of carbon credit accounting methods and ensure the accuracy and consistency of accounting; the historical carbon behavior analysis system of this example obtains and analyzes the user's historical carbon behavior data related to electricity keywords, which can provide important reference for the current carbon behavior accounting, thereby improving the accuracy of accounting. The carbon behavior analysis system comprehensively considers the user's carbon behavior data, the user's electricity carbon behavior reference data and the network data transmission indicators, which can more comprehensively reflect the user's carbon behavior characteristics and further improve the accuracy of accounting.

[0044] S4. Carbon behavior storage system: Compare the user's electricity carbon behavior index with the user's electricity carbon behavior index threshold preset in the standard system database to obtain a comparison result, and finally determine whether to store the user's electricity carbon behavior data in the carbon benefit system based on the comparison result.

[0045] It needs to be explained that the present application describes a method for constructing a carbon inclusive standard system. This method includes a series of steps, including a transmission anomaly detection system for the network in carbon inclusiveness, a historical carbon behavior analysis system, a carbon behavior analysis system, and a carbon behavior storage system. Through these steps, a standard system capable of evaluating, analyzing and storing user carbon behavior data is constructed. These steps together constitute the core content of the system construction, and each step is designed to achieve the specific functions of the system. Therefore, the present application is closely related to the system construction, and it provides a detailed and operational construction process.

[0046] In this embodiment, the carbon credit system is a comprehensive framework that can promote the implementation of carbon credit. The carbon credit standard system is a specific component of the carbon credit system. The carbon credit standard system provides a standardized method to process and analyze user carbon behavior data in the carbon credit system. Similarly, the carbon credit system also provides a standardized method to process and analyze user carbon behavior data. In the design of the carbon credit system, only low-carbon user data is stored. By storing the data of low-carbon users, more users can be encouraged to adopt low-carbon behaviors, thereby promoting the implementation of carbon credit activities. Storing the data of low-carbon users can optimize the use of resources and avoid storing a large amount of invalid or redundant data. The user's carbon behavior data is the core data of the carbon credit system. These data can provide users with feedback on carbon behavior. The carbon credit system of this application can be applied to multiple scenarios, including but not limited to being used as part of a smart city to evaluate and manage the carbon behavior of urban residents; used as part of corporate carbon management to help companies monitor and manage the carbon behavior of their employees, as well as the application of photovoltaic power generation equipment, etc.

[0047] Specifically, the network data transmission status data of the user carbon behavior data in the carbon credit system during the transmission process includes the average throughput of the network during the data transmission detection period, the number of user carbon behavior data packets sent by the sending end, the number of user carbon behavior data packets received by the receiving end, the transmission time of each user carbon behavior data packet and the number of transmissions of each user carbon behavior data packet.

[0048] It should be explained that the above-mentioned data transmission detection period is a time period for monitoring the network data transmission status in the carbon credit system. During this period, relevant network data transmission data will be collected and analyzed to evaluate network performance and stability. In this embodiment, the data transmission detection period is randomly arranged according to the actual requirements of data transmission in the carbon credit system. The sending end specifically refers to the device or system that generates and sends the user carbon behavior data, such as the user's smart meter, smart home device, etc. These devices package the collected user carbon behavior data and send it to the receiving end. The receiving end is specifically the data platform of the carbon credit system, which is responsible for receiving the user carbon behavior data packet from the sending end and performing subsequent processing and storage; each user carbon behavior data packet may contain one or more carbon behavior data records of the user.

[0049] The memory capacity of each user carbon behavior data packet in the network during the data transmission detection period is obtained, and the total capacity of the user carbon behavior data packets in the network during the data transmission detection period is obtained by summing them up.

[0050] The total capacity of user carbon behavior data packets in the network during the data transmission detection period is ratioed to the number of user carbon behavior data packets sent by the sender to obtain the average capacity of user carbon behavior data packets in the network during the data transmission detection period.

[0051] The number of user carbon behavior data packets sent by the sender is subtracted from the number of user carbon behavior data packets received by the receiver to obtain the number of data packets lost in the network during the data transmission detection period, and then divided by the number of user carbon behavior data packets sent by the sender to obtain the data packet loss rate of the network during the data transmission detection period.

[0052] The transmission time of each user's carbon behavior data packet is summed up to obtain the total transmission time of the user's carbon behavior data packet in the network during the data transmission detection period, and the sum is compared with the number of user carbon behavior data packets sent by the sender to obtain the average transmission time rate of the user's carbon behavior data packet in the network during the data transmission detection period.

[0053] The number of transmissions of each user's carbon behavior data packet is summed up to obtain the total number of transmissions of the user's carbon behavior data packet in the network within the data transmission detection period, and the sum is compared with the number of user carbon behavior data packets sent by the sender to obtain the average number of transmissions of the user's carbon behavior data packet in the network within the data transmission detection period.

[0054] Specifically, the network data transmission indicators of the carbon credit system are analyzed in the following steps:

[0055] The average capacity of user carbon behavior data packets, data packet loss rate, average number of transmissions, average transmission time rate and average throughput of the network within the data transmission detection period are comprehensively analyzed to obtain the network data transmission indicators of the carbon credit system.

[0056] It needs to be explained that there is a mutually influencing relationship among the parameters such as the average capacity of user carbon behavior data packets within the data transmission detection period of the above-mentioned network, the data packet loss rate, the average number of transmissions of user carbon behavior data packets, the average transmission time consumption rate of user carbon behavior data packets and the average throughput. The larger the average capacity, the more difficulties the data packets may encounter during the transmission process, which will lead to an increase in the data packet loss rate. Data packets that are lost during transmission need to be retransmitted, which increases the average number of transmissions and therefore takes longer to transmit, resulting in an increase in the transmission time consumption rate. The increase in the transmission time consumption rate will reduce the average throughput of the network because longer transmission time means that less data can be transmitted in the same time.

[0057] The specific analysis method of the network data transmission indicators of the carbon credit system is as follows:

[0058]

[0059] In the formula, NTP is the network data transmission indicator of the carbon credit system, e is a natural constant, rl is the average capacity of the user carbon behavior data packet in the network during the data transmission detection period, Δrl is the reference capacity of the user carbon behavior data packet preset in the standard system database, ds is the data packet loss rate of the network during the data transmission detection period, j1 is the transmission impact index corresponding to the unit value of the data packet loss rate preset in the standard system database, cs is the average number of transmissions of the user carbon behavior data packet in the network during the data transmission detection period, Δcs is the reference number of transmissions of the user carbon behavior data packet preset in the standard system database, sx is the average transmission time consumption rate of the user carbon behavior data packet in the network during the data transmission detection period, j1 is the transmission impact index corresponding to the unit value of the transmission time consumption rate of the user carbon behavior data packet preset in the standard system database, tl is the average throughput of the network during the data transmission detection period, and j2 is the transmission impact index corresponding to the unit value of the average throughput preset in the standard system database.

[0060] It should be explained that the average capacity of the above-mentioned user carbon behavior data packet refers to the ratio between the total capacity of the user carbon behavior data packet and the number of user carbon behavior data packets sent by the sender, wherein the total capacity of the user carbon behavior data packet is obtained by summing the memory capacity of each user carbon behavior data packet, and the memory capacity of the user carbon behavior data packet is the data packet capacity size information in the header information of the data packet obtained by the data packet parsing technology, thereby obtaining the memory capacity of each data packet; the number of user carbon behavior data packets sent by the sender is obtained by checking the network monitoring log records; the reference capacity of the user carbon behavior data packet preset by the standard system database refers to the capacity standard of the user carbon emission behavior data packet preset by the standard system database; the data packet loss rate of the network within the data transmission detection period refers to the ratio between the number of data packet losses of the network within the data transmission detection period and the number of user carbon behavior data packets sent by the sender, wherein the number of data packet losses is obtained by subtracting the number of user carbon behavior data packets received by the receiving end from the number of user carbon behavior data packets sent by the sending end, and the number of user carbon behavior data packets received by the receiving end can also be obtained by checking the network monitoring log records; the average number of user carbon behavior data packet transmissions of the network within the data transmission detection period refers to the total number of user carbon behavior data packets transmitted divided by the number of times the data packets are sent The ratio between the number of user carbon behavior data packets sent by the transmitting end, wherein the total number of transmissions of the user carbon behavior data packets is obtained by summing the number of transmissions of each user carbon behavior data packet. The number of transmissions of each user carbon behavior data packet can be obtained by tracking the transmission path and status of the data packet through the data packet tracking technology, thereby obtaining the number of transmissions of each data packet; the reference number of transmissions of the user carbon behavior data packet preset in the standard system database refers to the reference value of the number of transmissions of the user carbon behavior data packet; the average transmission time consumption rate of the user carbon behavior data packet of the network within the data transmission detection period refers to the ratio of the total transmission time of the user carbon behavior data packet to the number of user carbon behavior data packets sent by the transmitting end, the total transmission time of the user carbon behavior data packet is obtained by summing the transmission time of each user carbon behavior data packet, and the transmission time of each user carbon behavior data packet is directly obtained by the network monitoring tool (such as Wireshark network packet analysis software); the average throughput of the network within the data transmission detection period refers to the ratio of the amount of data successfully transmitted by the network within the data transmission detection period to the time length of the data transmission detection period. The network traffic data can be collected through the network monitoring tool, the performance log of the switch can be viewed, and the traffic statistics of the interface can be obtained, thereby obtaining the average throughput.

[0061] The transmission impact index corresponding to the unit value of the packet loss rate preset in the standard system database represents the index of the degree of influence of the unit value of the packet loss rate on the network data transmission index of the carbon credit system. The standard system database stores the corresponding relationship between the packet loss rate and its corresponding transmission impact index. For example, when the packet loss rate is input into the standard system database, the standard system database can match the transmission impact index corresponding to the unit value of the packet loss rate. At the same time, in this example, its value range is (0, 1).

[0062] The unit value of the user carbon behavior data packet transmission time consumption rate preset in the standard system database represents an index of the degree of influence of the unit value of the user carbon behavior data packet transmission time consumption rate on the network data transmission index of the carbon benefit system. The standard system database stores the corresponding relationship between the unit value of the user carbon behavior data packet transmission time consumption rate and its corresponding transmission impact index. For example, the user carbon behavior data packet transmission time consumption rate is input into the standard system database, and the standard system database can match the unit value of the user carbon behavior data packet transmission time consumption rate. At the same time, in this example, its value range is (0, 1).

[0063] The transmission impact index corresponding to the average throughput unit value preset in the standard system database represents the index of the degree of influence of the average throughput unit value on the network data transmission index of the carbon credit system. The standard system database stores the corresponding relationship between the average throughput unit value and its corresponding transmission impact index. For example, when the average throughput is input into the standard system database, the standard system database can match the transmission impact index corresponding to the average throughput unit value. At the same time, in this example, its value range is (0, 1).

[0064] In this embodiment, if the average capacity of the user carbon behavior data packet is larger or smaller, that is, the deviation from the preset reference capacity of the user carbon behavior data packet is large, it will cause the network to unevenly allocate data packet transmission resources. Larger data packets will increase the risk of network congestion, resulting in an increase in the data packet loss rate and increased transmission time; while smaller data packets may increase the number of transmissions, reducing the reliability and efficiency of data transmission; a larger data packet loss rate means that the data packet transmission is incomplete, resulting in the loss or delay of the user carbon behavior data, affecting the accuracy and timeliness of the data; the average number of transmissions of the user carbon behavior data packet is large or small, that is, when the deviation from the preset reference number of transmissions of the user carbon behavior data packet is large, excessive transmissions will lead to data loss. A high number of transmissions may mean network congestion or frequent data packet loss, which requires retransmission; while too few transmissions may indicate that data is not sent frequently enough, resulting in untimely information updates; a high user carbon behavior data packet transmission time consumption rate means that the data packet takes a long time to transmit in the network, which may cause data delays or losses; a low average throughput means that the network has limited processing capacity within the data transmission detection cycle and cannot efficiently transmit user carbon behavior data, which will lead to data backlogs and increased transmission delays; therefore, through a detailed analysis of the parameters in the network data transmission indicators of the carbon credit system, problems in network transmission can be discovered in a timely manner, so that targeted measures can be taken to solve them in order to improve the efficiency and reliability of network transmission.

[0065] Furthermore, the comparison result is used to determine whether it is necessary to issue an early warning for the data transmission status of the network in the carbon credit system. The specific comparison process is as follows:

[0066] If the network data transmission index of the carbon credit system is less than or equal to the preset network data transmission index limit value of the carbon credit system, the comparison result is recorded as the first comparison result.

[0067] If the network data transmission index of the carbon credit system is greater than the preset network data transmission index limit value of the carbon credit system, the comparison result is recorded as the second comparison result.

[0068] If the comparison result is the first comparison result, an early warning will be issued for the data transmission status of the network in the carbon credit system.

[0069] In this embodiment, the network data transmission index of the carbon credit system is compared with the network data transmission index boundary value of the carbon credit system preset in the standard system database; if the network data transmission index of the carbon credit system is greater than the preset network data transmission index boundary value of the carbon credit system, the comparison result is recorded as the second comparison result, which means that the data transmission condition of the network is good, and the data transmission performance of the overall network is stable and efficient. In this case, the user carbon behavior data can be directly analyzed, because the good data transmission status ensures the integrity and timeliness of the data; if the network data transmission index of the carbon credit system is less than or equal to the preset network data transmission index boundary value of the carbon credit system, the comparison result is recorded as the first comparison result, which means that the data transmission condition of the network is poor. In this case, it is necessary to give an early warning prompt for the data transmission condition of the network in the carbon credit system. The specific early warning prompt can be given through a pop-up window and a text message in the pop-up window, such as "The carbon behavior data packet loss rate is high, please check the network connection stability and data transmission path to ensure data integrity.", "The network throughput is lower than the standard threshold, please check the bandwidth usage and network load to ensure the response speed of the system.".

[0070] Specifically, the user's historical carbon behavior data related to the electricity keyword includes the average temperature of the environment during the historical carbon behavior period, the operating time of each power equipment during the historical carbon behavior period, the energy consumption, the average operating current and the average operating voltage.

[0071] In this embodiment, the above-mentioned power equipment includes but is not limited to generators, such as photovoltaic power generation equipment, transformers, air conditioning / cooling equipment, lighting equipment, such as LEDs, fluorescent lamps, xenon lamps, etc.; the historical carbon behavior cycle refers to a specific time period used to record the carbon emissions and energy consumption of the user's power equipment. The specific historical carbon behavior cycle can be randomly arranged according to the carbon behavior needs. In this embodiment, the above-mentioned average ambient temperature refers to the average temperature of the area where the user and the user's power equipment are located during the user's historical power carbon behavior cycle. The ambient temperature directly affects the operating efficiency and energy consumption of the power equipment. In a high temperature environment, the frequency of use of refrigeration equipment such as air conditioners increases, resulting in an increase in energy consumption, which in turn affects carbon emissions. Therefore, monitoring the ambient temperature helps to optimize the equipment operation strategy. At the same time, the user's electricity usage habits at different temperatures will be different. For example, in the cold winter, the use of heating equipment will increase, while in the hot summer, the frequency of use of refrigeration equipment will be higher.

[0072] The average operating power of each power device during the historical carbon behavior cycle is obtained by multiplying the average operating current of each power device during the historical carbon behavior cycle by the average operating voltage of each power device during the historical carbon behavior cycle.

[0073] Multiply the energy consumption of each power equipment during the historical carbon behavior cycle by the carbon emission factor preset in the standard system database to obtain the carbon emissions of each power equipment during the historical carbon behavior cycle.

[0074] Specifically, the user's historical electricity carbon behavior indicator has a specific analysis process as follows:

[0075] Obtain the historical network data transmission indicators of the carbon credit system corresponding to the user's historical carbon behavior data related to the electricity keyword during the data transmission process.

[0076] In this embodiment, the network data history transmission index of the carbon credit system corresponding to the carbon behavior data related to the user history and electricity keywords during the data transmission process refers to the data transmission status of the network to which the carbon behavior data related to the user history and electricity keywords belongs during the data transmission of the carbon behavior data related to the user history and electricity keywords. It is an indicator at a different time than the network data transmission index of the carbon credit system. It needs to be explained that the analysis method of the network data history transmission index of the carbon credit system is the same as the analysis method of the network data transmission index of the carbon credit system.

[0077] The average operating power of each power equipment in the historical carbon behavior cycle is subtracted from the reference operating power of each power equipment preset in the standard system database to obtain the operating power deviation value of each power equipment in the historical carbon behavior cycle.

[0078] The historical carbon behavior data of the user related to the electricity keyword is comprehensively analyzed during the data transmission process, including the historical network data transmission indicators of the carbon credit system, the average temperature of the environment during the historical carbon behavior cycle, the operating time of each power equipment during the historical carbon behavior cycle, the carbon emissions and the operating power deviation value, to obtain the user's historical electricity carbon behavior indicators.

[0079] It needs to be explained that there is a complex correlation between the network data historical transmission indicators of the carbon credit system corresponding to the above-mentioned user history and electricity keyword-related carbon behavior data during the data transmission process, the average temperature of the environment in the historical carbon behavior cycle, the operating time of each power equipment in the historical carbon behavior cycle, carbon emissions and operating power deviation values. Lower network data transmission indicators mean the unreliability of power carbon behavior data during the transmission process, which directly affects the accuracy and timeliness of power carbon behavior data. In high or low temperature environments, power equipment may require more energy to maintain normal operation, resulting in increased carbon emissions. The longer the power equipment runs, the more energy it consumes, and the greater the carbon emissions generated. The operating power deviation value reflects the difference between the actual operating power of the power equipment and the rated power or expected power. A larger power deviation will lead to energy waste and increased carbon emissions.

[0080] The specific analysis method of the user's historical electricity carbon behavior indicator is as follows:

[0081]

[0082] Where LC is the user's historical electricity carbon behavior index, e is a natural constant, SNTP is the network data historical transmission index of the carbon benefit system, d1 is the historical carbon behavior impact index corresponding to the network data historical transmission index preset in the standard system database, hw is the average temperature of the environment within the historical carbon behavior cycle, Δhw is the environmental reference temperature preset in the standard system database, a is the number of each power equipment, a=1, 2, 3, ..., b, b is the total number of power equipment, yt a is the operating time of the ath power equipment in the historical carbon behavior cycle, Δyt is the operating reference time preset in the standard system database, tp a is the carbon emission of the ath power equipment in the historical carbon behavior cycle, Δtp is the allowable carbon emission preset in the standard system database, and gl a is the operating power deviation value of the ath power equipment in the historical carbon behavior cycle, and Δgl is the allowable operating power deviation value preset in the standard system database.

[0083] It should be explained that the above-mentioned average ambient temperature during the historical carbon behavior cycle refers to the average value of the ambient temperature in which the power equipment is operating during the historical carbon behavior cycle, which is obtained by monitoring the environment through temperature sensors during the historical carbon behavior cycle; the ambient reference temperature preset in the standard system database refers to a temperature reference value preset in the standard system database, which is used to compare with the ambient temperature during actual operation to evaluate the impact of the environment on the operating efficiency or carbon emissions of the power equipment; the operating time of the power equipment during the historical carbon behavior cycle refers to the total time that the power equipment actually operates during the historical carbon behavior cycle, which can be obtained by checking the operating records of the power equipment; The operating reference duration preset in the quasi-system database refers to a benchmark value of operating duration preset in the standard system database, which is used to compare with the actual operating duration to evaluate the operating efficiency or carbon emission level of power equipment; the carbon emissions of power equipment in the historical carbon behavior cycle refer to the product of the energy consumption of the power equipment in the historical carbon behavior cycle and the carbon emission factor preset in the standard system database, where the energy consumption is obtained by real-time monitoring and recording of the energy consumption of the power equipment through energy metering equipment; the allowable carbon emissions preset in the standard system database refer to the maximum amount of carbon content that the power equipment is allowed to emit; the carbon emissions of power equipment in the historical carbon behavior cycle are the product of the energy consumption of the power equipment in the historical carbon behavior cycle and the carbon emission factor preset in the standard system database. The operating power deviation value during the period refers to the difference between the average operating power of the power equipment during the historical carbon behavior cycle and the reference operating power of each power equipment preset in the standard system database. It should be explained that the average operating power is the product of the average operating current and the average operating voltage. The average operating current can be obtained by directly measuring the current value in the power equipment using an ammeter, and averaging the obtained current value to obtain the average operating current. The average operating voltage is obtained by directly measuring the voltage value of the power equipment using a voltmeter, making multiple measurements during the historical carbon behavior cycle, and recording the voltage value of each measurement. The average value of these voltage values ​​is calculated to obtain the average operating voltage; standard system data The allowable operating power deviation value preset in the database refers to the maximum deviation range between the actual power and the reference power of the power equipment during operation; the historical carbon behavior impact index corresponding to the network data historical transmission indicator preset in the standard system database is an index representing the degree of influence of the network data historical transmission indicator on the user's historical power carbon behavior indicator. The standard system database stores the correspondence between the network data historical transmission indicator and its corresponding historical carbon behavior impact index. For example, by inputting the network data historical transmission indicator into the standard system database, the standard system database can match the historical carbon behavior impact index corresponding to the network data historical transmission indicator. At the same time, in this example, its value range is (0, 1).

[0084] In this embodiment, a lower historical network data transmission index may mean that there are problems such as delays, packet loss or unstable transmission during the data transmission process, which directly leads to incomplete or distorted user history carbon behavior data related to the power keyword, thereby affecting the accurate recording and evaluation of user behavior by the carbon credit system; when the average temperature of the environment in the historical carbon behavior cycle is high or low, that is, when the degree of deviation from the preset environmental reference temperature is large, the extreme changes in the average ambient temperature may affect the operating efficiency and energy consumption of the power equipment. High temperature may cause the equipment to overheat, increase energy consumption and carbon emissions, and low temperature may cause difficulty in starting the equipment, which also increases energy consumption; when the operating time of the power equipment in the historical carbon behavior cycle is long, even greater than the preset operating reference time, it will directly lead to an increase in carbon emissions, thereby causing the user to... The historical electricity carbon behavior index is low; the carbon emissions of power equipment during the historical carbon behavior cycle are relatively large, even exceeding the preset allowable carbon emissions. The increase in carbon emissions will directly reduce the user's historical electricity carbon behavior index; the operating power deviation value of power equipment during the historical carbon behavior cycle is large, even greater than the preset allowable operating power deviation value, which means that the operation of the power equipment is unstable or energy-inefficient. This unstable or inefficient operating state will increase energy consumption and carbon emissions, thereby reducing the user's historical electricity carbon behavior index; therefore, through a detailed analysis of the parameters in the user's historical electricity carbon behavior index, the user's historical electricity carbon behavior can be more accurately evaluated, and the user's problems and deficiencies in energy conservation and emission reduction can be discovered in a timely manner, so as to take targeted measures to improve the energy efficiency and operating stability of power equipment.

[0085] Furthermore, the user power carbon behavior reference data corresponding to the user's historical power carbon behavior indicator specifically includes the allowed operating time of each power equipment and the allowed energy consumption of each power equipment.

[0086] In this embodiment, the user's historical electricity carbon behavior index is matched with the user carbon behavior reference data corresponding to each user's historical electricity carbon behavior index interval preset in the standard system database to obtain the user's historical electricity carbon behavior reference data corresponding to the user's historical electricity carbon behavior index. The specific matching process is:

[0087] The user's historical electricity carbon behavior index is matched with the user's carbon behavior reference data corresponding to each user's historical electricity carbon behavior index interval preset in the standard system database, thereby obtaining the user's electricity carbon behavior reference data corresponding to the user's historical electricity carbon behavior index.

[0088] In a specific embodiment, the user's historical electricity carbon behavior index is 5, and the historical electricity carbon behavior index interval of each user stored in the standard system database is [5, 10). Then the user's electricity carbon behavior reference data corresponding to the user's historical electricity carbon behavior index interval [5, 10) are that the allowed operating time of each power equipment is 30 hours, and the allowed energy consumption of each power equipment is 50 kWh.

[0089] Get the total number of power devices.

[0090] It should be explained that the total number of the above-mentioned power equipment is obtained by directly querying the number of power equipment and related information in the Carbon HP system.

[0091] The allowed operating time of each power equipment is summed to obtain the total allowed operating time of the power equipment, and the sum is processed by ratio with the total number of power equipment to obtain the average allowed operating time of the power equipment.

[0092] The allowable energy consumption of each power device is summed to obtain the total allowable energy consumption of the power device, and the sum is ratioed with the total number of power devices to obtain the average allowable energy consumption of the power devices.

[0093] In this embodiment, the user's historical electricity carbon behavior index is matched with the user carbon behavior reference data corresponding to the historical electricity carbon behavior index intervals of each user preset in the standard system database, and finally the average allowable operating time of the power equipment and the average allowable energy consumption of the power equipment are obtained. This can help users formulate more personalized energy-saving and emission reduction measures for power equipment. For example, if the energy consumption of a certain power equipment is much higher than the average level, improvement suggestions can be made for the power equipment or it can be replaced with a more efficient power equipment.

[0094] Specifically, the user's electricity carbon behavior data includes the operating time, energy consumption, average input voltage, average input current, average output current, average output current and average operating power of each power equipment during the carbon behavior cycle.

[0095] It needs to be explained that the above-mentioned carbon behavior cycle refers to a time period used to evaluate and record the behavior of power equipment in terms of electricity consumption and carbon emissions. It is a time period formulated based on specific carbon behavior needs. It should be noted that the carbon behavior cycle is not the same as the above-mentioned historical carbon behavior cycle.

[0096] The average input power of each power device during the carbon behavior cycle is obtained by multiplying the average input voltage of each power device during the carbon behavior cycle by the average input current.

[0097] The average output power of each power device in the carbon behavior cycle is obtained by multiplying the average output voltage of each power device in the carbon behavior cycle by the average output current.

[0098] The average output power of each power device during the carbon behavior cycle is divided by the average input power of each power device during the carbon behavior cycle to obtain the average energy efficiency ratio of each power device during the carbon behavior cycle.

[0099] The average operating power of each power device during the carbon behavior cycle is ratio-processed with the operating reference power of each power device preset in the standard system database to obtain the load rate of each power device during the carbon behavior cycle.

[0100] Specifically, the user electricity carbon behavior index has the following specific analysis process:

[0101] The user power carbon behavior index is obtained by comprehensively analyzing the network data transmission indicators of the carbon credit system, the average allowed operating time of power equipment, the average allowed energy consumption of power equipment, the operating time of each power equipment within the carbon behavior cycle, energy consumption, average energy efficiency ratio and load rate.

[0102] It needs to be explained that there is a mutual influence relationship between the above-mentioned network data transmission indicators, the operating time of each power equipment in the carbon behavior cycle, energy consumption, average energy efficiency ratio and load rate. The network transmission indicators affect the real-time and accuracy of the data in the carbon benefit system. Efficient data transmission can ensure that the power equipment operation data, energy consumption data, etc. are uploaded to the system in time, providing a basis for comprehensive analysis and evaluation. If the data transmission efficiency is low or there is a delay, the system may not be able to obtain the latest power equipment operation and energy consumption data in time, thereby affecting the accuracy and timeliness of the user's power carbon behavior index. The operating time of the power equipment directly affects its energy consumption. Under the same load and energy efficiency conditions, the longer the equipment runs, the more energy it consumes. If the operating time is too long, it will cause negative effects such as equipment overheating and increased wear, thereby reducing the energy efficiency ratio. When the load rate increases, if the equipment can maintain a high energy efficiency ratio, the energy consumption will also increase accordingly. However, if the load rate is too high and exceeds the carrying capacity of the equipment, it may cause the equipment energy efficiency to decrease, thereby increasing energy consumption.

[0103] The specific analysis method of the user electricity carbon behavior index is as follows:

[0104]

[0105] Where cb is the user electricity carbon behavior index, e is a natural constant, a is the number of each power equipment, a = 1, 2, 3, ..., b, b is the total number of power equipment, yc ais the operating time of the ath power equipment in the carbon behavior cycle, Δyc is the average allowed operating time of the power equipment, xh a is the energy consumption of the ath power equipment in the carbon behavior cycle, Δxh is the average allowable energy consumption of the power equipment, and fz a is the load rate of the ath power equipment in the carbon behavior cycle, k1 is the carbon behavior impact index corresponding to the load rate unit value preset in the standard system database, NTP is the network data transmission index of the carbon benefit system, k2 is the carbon behavior impact index corresponding to the network data transmission index unit value preset in the standard system database, nx a The average energy efficiency ratio of the ath power equipment during the carbon behavior cycle, k3 is the carbon behavior impact index corresponding to the average energy efficiency ratio unit value preset in the standard system database.

[0106] It should be explained that the operating time of the above-mentioned power equipment within the carbon behavior cycle refers to the total time that the power equipment actually operates within the carbon behavior cycle, which can be obtained by checking the operating records of the power equipment; the average allowable operating time of the power equipment preset in the standard system database refers to the average continuous operating time allowed for the power equipment under normal operating conditions preset in the standard system database; the energy consumption of the power equipment within the carbon behavior cycle refers to the amount of energy consumed by the power equipment within the carbon behavior cycle, which can be monitored and recorded in real time by energy metering equipment; the average allowable energy consumption of the power equipment refers to the average energy consumption allowed by the power equipment under normal operating conditions; the load rate of the power equipment within the carbon behavior cycle refers to the ratio of the average operating power of the power equipment within the carbon behavior cycle to the operating reference power of each power equipment preset in the standard system database. The average operating power is obtained by installing an electric energy metering device at the input or output end of the power equipment to monitor and record the electric energy consumed by the equipment in real time during operation. After the carbon behavior cycle ends, the equipment consumption is read from the electric energy metering device. The total electric energy consumed is divided by the total duration of the time period to obtain the average operating power; the average energy efficiency ratio of the power equipment during the carbon behavior cycle refers to the ratio of the average output power to the average input power, wherein the average input power is obtained by multiplying the average input voltage by the average input current, and the average input voltage is obtained by installing a voltage sensor at the input end of the power equipment to monitor the input voltage. During the carbon behavior cycle, the monitored voltage data is averaged to obtain the average input voltage, and the average input current is obtained by installing a current sensor at the input end of the power equipment to monitor the input current in real time. During the carbon behavior cycle, the monitored current data is averaged to obtain the average input current; the average output power is obtained by multiplying the average output voltage by the average output current, and the average output voltage is obtained by installing a voltage sensor at the output end of the power equipment to monitor the output voltage in real time. During the carbon behavior cycle, the monitored voltage data is averaged to obtain the average output voltage, and the average output current is obtained by installing a current sensor at the output end of the power equipment to monitor the output current in real time. During the carbon behavior cycle, the monitored current data is averaged to obtain the average output current.

[0107] The carbon behavior impact index corresponding to the load rate unit value preset in the standard system database is an indicator that represents the degree of influence of the load rate unit value on the user's electricity carbon behavior index. The standard system database stores the correspondence between the load rate unit value and its corresponding carbon behavior impact index. For example, when the load rate unit value is input into the standard system database, the standard system database can match the carbon behavior impact index corresponding to the load rate unit value. At the same time, its value range in this example is (0, 1).

[0108] The carbon behavior impact index corresponding to the unit value of the network data transmission indicator preset in the standard system database is an indicator that represents the degree of influence of the unit value of the network data transmission indicator on the user's electricity carbon behavior index. The standard system database stores the correspondence between the network data transmission indicator and its corresponding carbon behavior impact index. For example, when a negative network data transmission indicator is input into the standard system database, the standard system database can match the carbon behavior impact index corresponding to the network data transmission indicator. At the same time, in this example, its value range is (0, 1).

[0109] The carbon behavior impact index corresponding to the average energy efficiency ratio unit value preset in the standard system database is an indicator that represents the degree of influence of the average energy efficiency ratio unit value on the user's electricity carbon behavior index. The standard system database stores the correspondence between the average energy efficiency ratio unit value and its corresponding carbon behavior impact index. For example, when the average energy efficiency ratio unit value is input into the standard system database, the standard system database can match the carbon behavior impact index corresponding to the average energy efficiency ratio unit value. At the same time, its value range in this example is (0, 1).

[0110] In this embodiment, when the operating time of the power equipment in the carbon behavior cycle is long, or even longer than the preset average allowable operating time of the power equipment, it usually means that the equipment may be in an overused state, which increases the wear and aging rate of the equipment and may also lead to unnecessary energy consumption; when the energy consumption of the power equipment in the carbon behavior cycle is large, or even greater than the preset average allowable energy consumption of the power equipment, this directly increases carbon emissions. Therefore, this high energy consumption will reduce the user's power carbon behavior index; when the load rate of the power equipment in the carbon behavior cycle is high, it indicates that the equipment is in a high-load operation state for a long time. High-load operation not only increases the energy consumption of the equipment, but also may reduce the energy efficiency of the equipment; the network data transmission index of the carbon credit system When the index is low, it means that the data transmission efficiency is low. There may be delays or losses in the data transmission process, which will affect the overall performance of the carbon credit system, thereby leading to a decrease in the user's power carbon behavior index. At the same time, due to poor data transmission, users will not be able to obtain energy usage information in a timely manner; when the average energy efficiency of power equipment during the carbon behavior cycle is relatively low, it shows that the equipment is less efficient in converting input energy into useful output, and low energy efficiency will lead to increased energy consumption; therefore, through a detailed analysis of the parameters in the user's power carbon behavior index, users can be guided to optimize energy use strategies, improve energy efficiency, and reduce unnecessary energy consumption. At the same time, users are encouraged to adopt more environmentally friendly and energy-saving energy use methods, thereby promoting the realization of energy conservation and emission reduction goals.

[0111] Specifically, the final step of determining whether to store the user's electricity carbon behavior data in the carbon credit system is based on the comparison result. The specific comparison process is as follows:

[0112] If the user's electricity carbon behavior index is less than the user's electricity carbon behavior index threshold preset in the standard system database, the comparison result will be recorded as high-carbon behavior, and an early warning prompt will be issued for the high-carbon behavior.

[0113] In this embodiment, the user's power carbon behavior index is compared with the user's power carbon behavior index threshold preset in the standard system database. When the user's power carbon behavior index is less than the user's power carbon behavior index threshold preset in the standard system database, it means that the user's power usage pattern is less environmentally friendly than the standard state. In other words, the user's power behavior leads to more carbon emissions, which is not conducive to energy conservation and emission reduction and environmental protection. Therefore, this comparison result is recorded as high-carbon behavior, and an early warning prompt is issued for the high-carbon behavior. The specific early warning prompt can be achieved by sending a text message to the user to remind him that the carbon behavior index is too high, and provide suggestions or measures for energy conservation and emission reduction, such as promptly turning off unused electrical appliances and lamps to reduce standby power consumption.

[0114] If the user's electricity carbon behavior index is greater than or equal to the user's electricity carbon behavior index threshold preset in the standard system database, the comparison result will be recorded as low-carbon behavior, and the user's carbon behavior data will be stored in the carbon credit system.

[0115] It needs to be explained that when the user's electricity carbon behavior index is greater than or equal to the user's electricity carbon behavior index threshold preset in the standard system database, the user's electricity usage pattern is more environmentally friendly and low-carbon than the standard. In other words, the user's electricity consumption behavior performs well in energy conservation, emission reduction and environmental protection, and the carbon emissions are relatively low. At this time, recording the comparison result as "low-carbon behavior" is a positive affirmation of the user's active practice of energy conservation, emission reduction and carbon emission reduction. At the same time, storing the user's carbon behavior data in the carbon credit system is to further encourage users to maintain and optimize this low-carbon behavior, and also provide data support for the improvement and development of the carbon credit system.

[0116] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A method for constructing a carbon inclusive standard system, characterized in that: include: S1. Transmission anomaly detection system of the network in carbon credit system: The carbon credit system collects the carbon usage-related data of the user to be analyzed during the carbon usage behavior cycle, which is recorded as the user carbon behavior data. The network data transmission status data to which the user carbon behavior data belongs in the carbon credit system during the transmission process is analyzed, and the network data transmission index of the carbon credit system is obtained. The data transmission index boundary value of the carbon credit system preset in the standard system database is compared to obtain the comparison result, and the comparison result is used to determine whether it is necessary to issue an early warning prompt for the data transmission status of the network in the carbon credit system; S2. Historical carbon behavior analysis system: obtain the user's historical carbon behavior data related to the power keyword, analyze and obtain the user's historical power carbon behavior index, and match it with the user's carbon behavior reference data corresponding to each user's historical power carbon behavior index interval preset in the standard system database to obtain the user's power carbon behavior reference data corresponding to the user's historical power carbon behavior index; S3. Carbon behavior analysis system: record the carbon behavior data related to the power keyword in the user carbon behavior data as the user power carbon behavior data, and conduct a comprehensive analysis with the user power carbon behavior reference data and the network data transmission index of the carbon benefit system to obtain the user power carbon behavior index; S4. Carbon behavior storage system: Compare the user's electricity carbon behavior index with the user's electricity carbon behavior index threshold preset in the standard system database to obtain a comparison result, and finally determine whether to store the user's electricity carbon behavior data in the carbon benefit system based on the comparison result.

2. The method for constructing a carbon inclusive standard system according to claim 1, characterized in that: The network data transmission status data of the user carbon behavior data in the carbon credit system during the transmission process, specifically including the average throughput of the network during the data transmission detection period, the number of user carbon behavior data packets sent by the sending end, the number of user carbon behavior data packets received by the receiving end, the transmission time of each user carbon behavior data packet, and the number of transmission times of each user carbon behavior data packet; Obtaining the memory capacity of each user carbon behavior data packet in the network during the data transmission detection period, and summing them up to obtain the total capacity of the user carbon behavior data packets in the network during the data transmission detection period; The total capacity of the user carbon behavior data packets of the network within the data transmission detection period is processed by ratio with the number of user carbon behavior data packets sent by the sender to obtain the average capacity of the user carbon behavior data packets of the network within the data transmission detection period; The number of user carbon behavior data packets sent by the sender is subtracted from the number of user carbon behavior data packets received by the receiver to obtain the number of data packets lost in the network during the data transmission detection period, and then divided by the number of user carbon behavior data packets sent by the sender to obtain the data packet loss rate of the network during the data transmission detection period; The transmission time of each user carbon behavior data packet is summed up to obtain the total transmission time of the user carbon behavior data packet in the network during the data transmission detection period, and the sum is compared with the number of user carbon behavior data packets sent by the sender to obtain the average transmission time consumption rate of the user carbon behavior data packet in the network during the data transmission detection period; The number of transmissions of each user's carbon behavior data packet is summed up to obtain the total number of transmissions of the user's carbon behavior data packet in the network within the data transmission detection period, and the sum is compared with the number of user carbon behavior data packets sent by the sender to obtain the average number of transmissions of the user's carbon behavior data packet in the network within the data transmission detection period.

3. The method for constructing a carbon inclusive standard system according to claim 2, characterized in that: The network data transmission indicators of the carbon credit system are analyzed in detail as follows: The average capacity of user carbon behavior data packets, data packet loss rate, average transmission times of user carbon behavior data packets, average transmission time rate of user carbon behavior data packets and average throughput of the network within the data transmission detection period are comprehensively analyzed to obtain the network data transmission indicators of the carbon credit system.

4. The method for constructing a carbon inclusive standard system according to claim 1, characterized in that: The comparison result is used to determine whether it is necessary to issue an early warning for the data transmission status of the network in the carbon credit system. The specific comparison process is as follows: If the network data transmission index of the carbon credit system is less than or equal to the preset network data transmission index limit value of the carbon credit system, the comparison result is recorded as the first comparison result; If the network data transmission index of the carbon credit system is greater than the preset network data transmission index limit value of the carbon credit system, the comparison result is recorded as the second comparison result; If the comparison result is the first comparison result, an early warning will be issued for the data transmission status of the network in the carbon credit system.

5. The method for constructing a carbon inclusive standard system according to claim 1, characterized in that: The user's historical carbon behavior data related to the power keyword specifically includes the average temperature of the environment in the historical carbon behavior period, the operating time of each power device in the historical carbon behavior period, the energy consumption, the average operating current and the average operating voltage; The average operating power of each power device in the historical carbon behavior cycle is obtained by multiplying the average operating current of each power device in the historical carbon behavior cycle by the average operating voltage of each power device in the historical carbon behavior cycle; Multiply the energy consumption of each power equipment during the historical carbon behavior cycle by the carbon emission factor preset in the standard system database to obtain the carbon emissions of each power equipment during the historical carbon behavior cycle.

6. The method for constructing a carbon inclusive standard system according to claim 5, characterized in that: The specific analysis process of the user's historical electricity carbon behavior indicator is as follows: Obtain the historical network data transmission indicators of the carbon credit system corresponding to the user's historical carbon behavior data related to the power keyword during the data transmission process; The average operating power of each power device in the historical carbon behavior cycle is processed with the reference operating power of each power device preset in the standard system database to obtain the operating power deviation value of each power device in the historical carbon behavior cycle; The historical carbon behavior data of the user related to the electricity keyword is comprehensively analyzed during the data transmission process, including the historical network data transmission indicators of the carbon credit system, the average temperature of the environment during the historical carbon behavior cycle, the operating time of each power equipment during the historical carbon behavior cycle, the carbon emissions and the operating power deviation value, to obtain the user's historical electricity carbon behavior indicators.

7. The method for constructing a carbon inclusive standard system according to claim 1, characterized in that: The user power carbon behavior reference data corresponding to the user's historical power carbon behavior indicator specifically includes the allowed operation time of each power device and the allowed energy consumption of each power device; Get the total number of power equipment; The allowed operating time of each power device is summed to obtain the total allowed operating time of the power device, and the sum is processed by ratio with the total number of power devices to obtain the average allowed operating time of the power devices; The allowable energy consumption of each power device is summed to obtain the total allowable energy consumption of the power device, and the sum is ratioed with the total number of power devices to obtain the average allowable energy consumption of the power devices.

8. The method for constructing a carbon inclusive standard system according to claim 1, characterized in that: The user power carbon behavior data specifically includes the operating time, energy consumption, average input voltage, average input current, average output current, average output current and average operating power of each power device within the carbon behavior cycle; The average input power of each power device in the carbon behavior cycle is obtained by multiplying the average input voltage of each power device in the carbon behavior cycle by the average input current; The average output power of each power device in the carbon behavior cycle is obtained by multiplying the average output voltage of each power device in the carbon behavior cycle by the average output current; The average output power of each power device in the carbon behavior cycle is divided by the average input power of each power device in the carbon behavior cycle to obtain the average energy efficiency ratio of each power device in the carbon behavior cycle; The average operating power of each power device during the carbon behavior cycle is ratio-processed with the operating reference power of each power device preset in the standard system database to obtain the load rate of each power device during the carbon behavior cycle.

9. The method for constructing a carbon inclusive standard system according to claim 8, characterized in that: The specific analysis process of the user electricity carbon behavior index is as follows: The network data transmission index of the carbon credit system, the average allowed operating time of power equipment, the average allowed energy consumption of power equipment, the operating time of each power equipment in the carbon behavior cycle, energy consumption, average energy efficiency ratio and load rate are comprehensively analyzed to obtain the user power carbon behavior index. The specific analysis method is as follows: Where cb is the user electricity carbon behavior index, e is a natural constant, a is the number of each power equipment, a = 1, 2, 3, ..., b, b is the total number of power equipment, yc a is the operating time of the ath power equipment in the carbon behavior cycle, Δyc is the average allowed operating time of the power equipment, xh a is the energy consumption of the ath power equipment in the carbon behavior cycle, Δxh is the average allowable energy consumption of the power equipment, and fz a is the load rate of the ath power equipment in the carbon behavior cycle, k1 is the carbon behavior impact index corresponding to the load rate unit value preset in the standard system database, NTP is the network data transmission index of the carbon benefit system, k2 is the carbon behavior impact index corresponding to the network data transmission index unit value preset in the standard system database, nx a The average energy efficiency ratio of the ath power equipment during the carbon behavior cycle, k3 is the carbon behavior impact index corresponding to the average energy efficiency ratio unit value preset in the standard system database.

10. The method for constructing a carbon inclusive standard system according to claim 1, characterized in that: The final decision is whether to store the user's electricity carbon behavior data into the carbon credit system based on the comparison result. The specific comparison process is as follows: If the user's electricity carbon behavior index is less than the user's electricity carbon behavior index threshold preset in the standard system database, the comparison result will be recorded as high-carbon behavior, and an early warning prompt will be issued for the high-carbon behavior; If the user's electricity carbon behavior index is greater than or equal to the user's electricity carbon behavior index threshold preset in the standard system database, the comparison result will be recorded as low-carbon behavior, and the user's carbon behavior data will be stored in the carbon credit system.

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