A digital management method for energy management platform

Abstract

The present invention relates to the technical field of energy management, and specifically discloses a digital management method for an energy management platform, the method comprising: obtaining a data synchronization and storage status data set of the current management cycle of the energy management platform, comparing to obtain an energy use status assessment deviation value, comprehensively analyzing to obtain an energy use status assessment value of the current management cycle based on the energy use status assessment deviation value, a new energy use status characteristic value and a traditional energy use status characteristic value, obtaining a data set of energy use status of the historical management cycle of the energy management platform, comparing to obtain an energy use status reference assessment range, and judging whether the energy use status of the current management cycle is qualified, and comparing to obtain an unqualified solution when the energy use status of the current management cycle is unqualified. The present invention solves the problems of untimely information acquisition, unscientific decision-making and difficult effect assessment in traditional energy management methods, and improves the management level, decision-making effect and work efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and in particular to a digital management method for an energy management platform. Background Art

[0002] With the growth of global energy demand and the increasing scarcity of energy resources, energy management has become increasingly important. Effective energy management can help institutions and enterprises reduce energy consumption costs, improve energy efficiency, reduce environmental pollution, and achieve the goal of energy conservation and emission reduction. With the continuous development of information technology and the popularization of digital technology, energy management platforms can use sensors, the Internet of Things, big data analysis and other technical means to monitor energy usage, collect data and analyze it, providing more accurate data support for decision-making.

[0003] Nowadays, there are still some shortcomings in the research on a digital management method for energy management platform. Specifically, the traditional energy management method has the problems of untimely information acquisition, unscientific decision-making, and difficult effect evaluation. There is a certain lag in information acquisition, and it is difficult to monitor and analyze energy usage, and it is difficult to discover energy waste and hidden dangers. In addition, energy management decisions are made based on personal experience and subjective judgment, which is easily affected by subjective factors and misjudgments. The effect is unstable and it is difficult to make long-term continuous improvements. It is also impossible to provide detailed data support and analysis, and it is difficult to evaluate indicators such as energy-saving effects, energy utilization efficiency, and environmental benefits, and it is impossible to objectively evaluate the effectiveness of energy management measures. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a digital management method for an energy management platform, which can effectively solve the problems involved in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a digital management method for an energy management platform, comprising the following steps: obtaining a data synchronization and storage status data set of the current management cycle of the energy management platform, and comparing and obtaining an energy usage status assessment deviation value based on the obtained data synchronization and storage status data set of the current management cycle of the energy management platform; obtaining a new energy usage status data set of the current management cycle of the energy management platform, and obtaining a new energy usage status characteristic value based on the obtained new energy usage status data set of the current management cycle of the energy management platform; obtaining a traditional energy usage status data set of the current management cycle of the energy management platform, and obtaining a new energy usage status characteristic value based on the obtained traditional energy usage status data set of the current management cycle of the energy management platform Using the status data set, comprehensive analysis is performed to obtain the characteristic value of the traditional energy usage status; the energy usage status assessment deviation value, the new energy usage status characteristic value and the traditional energy usage status characteristic value are imported into the energy management assessment model to obtain the energy usage status assessment value of the current management cycle; the energy usage status data set of the historical management cycle of the energy management platform is obtained, and the reference assessment range of the energy usage status is obtained by comparison based on the obtained energy usage status data set of the historical management cycle of the energy management platform; based on the current management cycle energy usage status assessment value and combined with the energy usage status reference assessment range, it is determined whether the energy usage status of the current management cycle is qualified, and the unqualified solution is compared if the energy usage status of the current management cycle is unqualified.

[0006] As a further method, based on the acquired current management cycle data synchronization and storage status data set of the energy management platform, the energy usage status evaluation deviation value is obtained by comparison. The specific analysis process is: obtain the current management cycle data synchronization and storage status data set of the energy management platform, the current management cycle data synchronization and storage status data set of the energy management platform specifically includes the current management cycle data synchronization delay, the current management cycle data completion average storage time, and the current management cycle data synchronization process transmission network bandwidth; based on the acquired current management cycle data synchronization and storage status data set of the energy management platform, a comprehensive analysis is performed to obtain the current management cycle data synchronization and storage status evaluation value, and the current management cycle data synchronization and storage status evaluation value is used as the analysis basis for comparing to obtain the energy usage status evaluation deviation value; compare the current management cycle data synchronization and storage status evaluation value with the energy usage status evaluation deviation value corresponding to each current management cycle data synchronization and storage status evaluation value stored in the database, and obtain the energy usage status evaluation deviation value corresponding to the current management cycle data synchronization and storage status evaluation value.

[0007] As a further method, the current management cycle data synchronization and storage status evaluation value, the specific analysis process is as follows:

[0008]

[0009] Wherein, γ is the evaluation value of data synchronization and storage status of the current management cycle, sy is the data synchronization delay of the current management cycle, sc is the average storage time of data completion of the current management cycle, dk is the transmission network bandwidth of the data synchronization process of the current management cycle, μ1 is the compensation factor of the data synchronization delay of the current management cycle, μ2 is the compensation factor of the average storage time of data completion of the current management cycle, and μ3 is the compensation factor of the transmission network bandwidth of the data synchronization process of the current management cycle.

[0010] As a further method, based on the acquired data set of new energy usage status in the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the new energy usage status characteristic value. The specific analysis process is: obtaining the new energy usage status data set of the current management cycle of the energy management platform, the new energy usage status data set of the current management cycle of the energy management platform specifically includes the new energy usage amount in the current management cycle, the new energy usage time in the current management cycle, and the effective utilization rate of new energy in the current management cycle; based on the acquired data set of new energy usage status in the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the new energy usage status characteristic value, and the new energy usage status characteristic value is used as the analysis basis for judging whether the energy usage status in the current management cycle is qualified.

[0011] As a further method, the new energy use state characteristic value, the specific analysis process is:

[0012]

[0013] In the formula, α is the characteristic value of the new energy usage state, xl is the new energy usage in the current management cycle, xt is the duration of new energy usage in the current management cycle, xy is the effective utilization rate of new energy in the current management cycle, σ1 is the compensation factor for the set new energy usage in the current management cycle, σ2 is the compensation factor for the set duration of new energy usage in the current management cycle, σ3 is the compensation factor for the set effective utilization rate of new energy in the current management cycle, and e is a natural constant.

[0014] As a further method, based on the obtained traditional energy usage status data set of the energy management platform in the current management cycle, a comprehensive analysis is performed to obtain the characteristic value of the traditional energy usage status. The specific analysis process is: obtaining the traditional energy usage status data set of the energy management platform in the current management cycle, the traditional energy usage status data set of the energy management platform in the current management cycle specifically includes the traditional energy usage in the current management cycle, the traditional energy usage time in the current management cycle, and the effective utilization rate of traditional energy in the current management cycle; based on the obtained traditional energy usage status data set of the energy management platform in the current management cycle, a comprehensive analysis is performed to obtain the characteristic value of the traditional energy usage status, and the traditional energy usage status characteristic value is used as the analysis basis for judging whether the energy usage status in the current management cycle is qualified.

[0015] As a further method, the characteristic value of traditional energy use status, the specific analysis process is:

[0016]

[0017] Where β is the characteristic value of the traditional energy use state, cl is the traditional energy use in the current management cycle, ct is the traditional energy use duration in the current management cycle, cy is the effective utilization rate of traditional energy in the current management cycle, τ1 is the compensation factor for the set traditional energy use in the current management cycle, τ2 is the compensation factor for the set traditional energy use duration in the current management cycle, and τ3 is the compensation factor for the set effective utilization rate of traditional energy in the current management cycle.

[0018] As a further method, the energy usage status assessment deviation value, the new energy usage status characteristic value and the traditional energy usage status characteristic value are imported into the energy management assessment model to obtain the energy usage status assessment value of the current management cycle. The specific analysis process is: the energy usage status assessment deviation value, the new energy usage status characteristic value and the traditional energy usage status characteristic value are imported into the energy management assessment model, and the energy usage status assessment value of the current management cycle is obtained through comprehensive analysis. The energy usage status assessment value of the current management cycle is used as the analysis basis for judging whether the energy usage status of the current management cycle is qualified.

[0019] As a further method, based on the energy management platform's historical management cycle energy usage status data set obtained, a reference assessment range of energy usage status is obtained by comparison. The specific analysis process is: obtaining the energy management platform's historical management cycle energy usage status data set, the energy management platform's historical management cycle energy usage status data set specifically includes the historical management cycle average energy usage, the historical management cycle average energy effective utilization rate, and the historical management cycle average energy saving; based on the energy management platform's historical management cycle energy usage status data set obtained, a comprehensive analysis is performed to obtain a historical management cycle energy usage status assessment value, and the historical management cycle energy usage status assessment value is used as an analysis basis for judging whether the current management cycle energy usage status is qualified; the historical management cycle energy usage status assessment value is compared with the energy usage status reference assessment range corresponding to each historical management cycle energy usage status assessment value stored in the database, to obtain the energy usage status reference assessment range corresponding to the historical management cycle energy usage status assessment value.

[0020] As a further method, it is determined whether the energy usage status of the current management cycle is qualified, and an unqualified solution is obtained when the energy usage status of the current management cycle is unqualified. The specific analysis process is: comparing the current management cycle energy usage status evaluation value with the energy usage status reference evaluation range; if the current management cycle energy usage status evaluation value belongs to the energy usage status reference evaluation range, then the current management cycle energy usage status corresponding to the current management cycle energy usage status evaluation value is qualified; if the current management cycle energy usage status evaluation value does not belong to the energy usage status reference evaluation range, then the current management cycle energy usage status corresponding to the current management cycle energy usage status evaluation value is unqualified, and the difference between the median of the energy usage status reference evaluation range and the current management cycle energy usage status evaluation value is recorded as the current management cycle energy usage status evaluation deviation value, and the current management cycle energy usage status evaluation deviation value is compared with the unqualified solutions corresponding to each current management cycle energy usage status evaluation deviation value stored in the database to obtain the unqualified solution corresponding to the current management cycle energy usage status evaluation deviation value.

[0021] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0022] (1) The present invention provides a digital management method for an energy management platform, obtains data from the energy management platform, and performs comparison, analysis, and evaluation, thereby enabling timely monitoring and evaluation of energy usage status, timely discovery of problems, and taking measures. The data obtained based on the digital management method can provide scientific data support, help make more accurate and scientific energy management decisions, improve management levels and decision-making effects, and the digital management method can achieve data integration and automated processing, save human resource costs, improve work efficiency, reduce the occurrence of human errors, and improve the accuracy and consistency of management.

[0023] (2) The present invention obtains the current management cycle data synchronization and storage status data set of the energy management platform, and compares the energy use status evaluation deviation value, which can help to timely discover problems and deficiencies in energy management, and is conducive to the diagnosis and resolution of problems. The acquisition of the evaluation deviation value helps to achieve refined management of the energy use status. Through continuous optimization and improvement, the transparency and accuracy of the management process are improved, which is conducive to comprehensively improving the level and quality of energy management.

[0024] (3) The present invention determines whether the energy usage status of the current management cycle is qualified based on the evaluation value of the energy usage status of the current management cycle and in combination with the reference evaluation range of the energy usage status, and compares the unqualified solutions when the energy usage status of the current management cycle is unqualified. Problems can be discovered in time and corresponding solutions can be taken to avoid further expansion or deterioration of the problems and ensure the smooth progress of energy management. Comparing unqualified solutions can help quickly understand the problems and make targeted adjustments and improvements, improve management efficiency, save time and costs. By comparing unqualified solutions, the root causes of the problems can be summarized, providing reference and improvement directions for future energy management work, and promoting continuous improvement of management level. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] 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.

[0026] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0027] Figure 2 A flow chart showing the reference assessment scope for comparing energy usage status. DETAILED DESCRIPTION

[0028] 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.

[0029] Reference Figure 1As shown, the present invention provides a digital management method for an energy management platform, comprising the following steps: obtaining a data synchronization and storage status data set of the current management cycle of the energy management platform, and obtaining an energy usage status assessment deviation value by comparison based on the obtained data synchronization and storage status data set of the current management cycle of the energy management platform; obtaining a new energy usage status data set of the current management cycle of the energy management platform, and obtaining a new energy usage status characteristic value by comprehensive analysis based on the obtained data set of new energy usage status of the current management cycle of the energy management platform; obtaining a traditional energy usage status data set of the current management cycle of the energy management platform, and obtaining a traditional energy usage status characteristic value by comprehensive analysis based on the obtained data set of traditional energy usage status of the current management cycle of the energy management platform, Comprehensive analysis is performed to obtain the characteristic value of traditional energy usage status; the energy usage status assessment deviation value, the new energy usage status characteristic value and the traditional energy usage status characteristic value are imported into the energy management assessment model to obtain the energy usage status assessment value of the current management cycle; the energy usage status data set of the historical management cycle of the energy management platform is obtained, and the reference assessment range of the energy usage status is obtained by comparison based on the obtained energy usage status data set of the historical management cycle of the energy management platform; based on the current management cycle energy usage status assessment value and the energy usage status reference assessment range, it is determined whether the energy usage status of the current management cycle is qualified, and an unqualified solution is compared if the energy usage status of the current management cycle is unqualified.

[0030] The current management cycle data synchronization and storage status data set of the energy management platform are obtained, and the energy usage status assessment deviation value is obtained by comparison based on the obtained current management cycle data synchronization and storage status data set of the energy management platform.

[0031] Specifically, based on the acquired data synchronization and storage status data set of the current management cycle of the energy management platform, the energy usage status assessment deviation value is obtained by comparison. The specific analysis process is: the data synchronization and storage status data set of the current management cycle of the energy management platform is acquired. The data synchronization and storage status data set of the current management cycle of the energy management platform specifically includes the data synchronization delay of the current management cycle, the average storage time of the current management cycle data completion, and the network bandwidth of the current management cycle data synchronization process transmission. The data synchronization delay of the current management cycle refers to the time delay from the data acquisition device (such as sensors, meters, etc.) to the data storage device (such as servers, databases, etc.) to complete the synchronization within the current management cycle. The data synchronization delay reflects the efficiency and speed of data acquisition and transmission. The data synchronization delay can be obtained through the monitoring system or data management software. The average storage time of the current management cycle data completion refers to the average time for data to be transmitted from the acquisition device to the data storage device and completed storage within the current management cycle. The average storage time of the data completion reflects the efficiency of data storage. The rate and speed, the average time for completing data storage can be obtained through the log or monitoring software in the data storage device. The transmission network bandwidth of the data synchronization process in the current management cycle refers to the network bandwidth occupied by the data during the synchronization process in the current management cycle. The network bandwidth refers to the ability to transmit data in the network. Transmitting data requires a certain amount of bandwidth resources. The network bandwidth situation can be monitored and obtained through network monitoring software or network equipment (such as routers and switches); based on the acquired data set of the current management cycle data synchronization and storage status of the energy management platform, a comprehensive analysis is performed to obtain the current management cycle data synchronization and storage status evaluation value, and the current management cycle data synchronization and storage status evaluation value is used as the analysis basis for comparing and obtaining the energy use status evaluation deviation value; the current management cycle data synchronization and storage status evaluation value is compared with the energy use status evaluation deviation value corresponding to each current management cycle data synchronization and storage status evaluation value stored in the database to obtain the energy use status evaluation deviation value corresponding to the current management cycle data synchronization and storage status evaluation value.

[0032] It needs to be explained that the above-mentioned data synchronization delay is affected by the transmission network bandwidth. If the network bandwidth is small, the data transmission speed will slow down, resulting in an increase in the data synchronization delay. If the network bandwidth is large, the transmission speed will increase, reducing the data synchronization delay. The average time it takes to complete data storage is also related to the transmission network bandwidth. A larger network bandwidth can increase the transmission speed and quickly transfer data to the storage device, thereby reducing the data storage time, while a smaller network bandwidth will cause the data transmission speed to slow down and increase the data storage time. An increase in data synchronization delay will prolong the time it takes to transfer data to the storage device, thereby increasing the average time to complete storage, while a reduction in data synchronization delay can shorten the data storage time.

[0033] It should be explained that the above comparison of the current management cycle data synchronization and storage status evaluation value with the energy use status evaluation deviation value corresponding to each cycle data stored in the database can timely understand the deviation between the current energy use status and the historical data, which is helpful for managers to timely discover energy use anomalies and take corresponding adjustment measures to achieve energy management. Analysis of the data synchronization and storage status evaluation value and the energy use status evaluation deviation value can evaluate the efficiency and quality of data synchronization and storage, thereby guiding managers to optimize and improve data management. The comparison results can reflect the problems or improvement space in the data synchronization and storage process, and help improve the efficiency and accuracy of data management. Comparing the current management cycle data synchronization and storage status evaluation value and the energy use status evaluation deviation value can understand the impact and correlation of data synchronization and storage status on energy use status, which is helpful to optimize data synchronization and storage management strategies, improve data processing efficiency, reduce energy consumption, and thus optimize energy utilization efficiency. The energy use status evaluation deviation value obtained by comparison can provide data support and analysis basis to assist in predicting and making decisions on energy utilization status. Through in-depth analysis of the comparison results, the development trend of energy management can be more accurately grasped, targeted strategies and measures can be formulated, and energy utilization can be optimized.

[0034] It needs to be explained that the above-mentioned energy use status assessment deviation value obtained by obtaining the current management cycle data synchronization and storage status data set of the energy management platform and comparing them can help to timely discover problems and deficiencies in energy management, which is conducive to the diagnosis and resolution of problems. The acquisition of assessment deviation value helps to achieve refined management of energy use status, and through continuous optimization and improvement, it improves the transparency and accuracy of the management process, which is conducive to comprehensively improving the level and quality of energy management.

[0035] Furthermore, the current management cycle data synchronization and storage status evaluation value, the specific analysis process is as follows:

[0036]

[0037] Wherein, γ is the evaluation value of data synchronization and storage status of the current management cycle, sy is the data synchronization delay of the current management cycle, sc is the average storage time of data completion of the current management cycle, dk is the transmission network bandwidth of the data synchronization process of the current management cycle, μ1 is the compensation factor of the data synchronization delay of the current management cycle, μ2 is the compensation factor of the average storage time of data completion of the current management cycle, and μ3 is the compensation factor of the transmission network bandwidth of the data synchronization process of the current management cycle.

[0038] It should be explained that the above-mentioned current management cycle data synchronization and storage status evaluation value is calculated through the current management cycle data synchronization delay, the current management cycle data storage average time to complete, and the current management cycle data synchronization process transmission network bandwidth. The current management cycle data synchronization delay, the current management cycle data storage average time to complete, and the current management cycle data synchronization process transmission network bandwidth are normalized. By evaluating the data synchronization delay, the real-time status of data synchronization can be understood, and the data synchronization delay can be timely grasped, which helps to ensure the timeliness of data updates and improve the monitoring capability of data management. By evaluating the average data storage time, the efficiency of data storage can be understood. Understanding the average data storage time can help managers discover low data storage efficiency or optimize space, and then take targeted measures to optimize and improve data processing efficiency. By evaluating the data synchronization process transmission network bandwidth, the current network transmission resource usage can be understood. According to the evaluation results of the transmission network bandwidth, it is helpful to reasonably allocate network resources, improve the efficiency of data transmission, and ensure the stable transmission of data between different systems or devices. By evaluating the data synchronization and storage status, it can be checked whether there are errors or Problems. Continuous monitoring of these indicators helps to discover potential problems in data synchronization and storage, and deal with them in a timely manner, thereby improving data quality and integrity. Evaluating data synchronization and storage status can help identify system bottlenecks and performance bottlenecks. Based on the evaluation results, the system configuration can be adjusted or the data processing process can be optimized to improve the performance and stability of the entire system. The set compensation factors for the current management cycle data synchronization delay, the current management cycle data completion storage average time, and the current management cycle data synchronization process transmission network bandwidth are obtained from the database. Based on historical data, a mapping set of historically measured current management cycle data synchronization delay, the current management cycle data completion storage average time, and the current management cycle data synchronization process transmission network bandwidth and the current management cycle data synchronization delay, the current management cycle data completion storage average time, and the current management cycle data synchronization process transmission network bandwidth compensation factors are established to obtain the current management cycle data synchronization delay, the current management cycle data completion storage average time, and the current management cycle data synchronization process transmission network bandwidth corresponding to the compensation factors.

[0039] A new energy usage status data set of the current management cycle of the energy management platform is obtained, and based on the obtained new energy usage status data set of the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the new energy usage status characteristic value.

[0040] Specifically, based on the acquired data set of new energy usage status in the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the characteristic value of the new energy usage status. The specific analysis process is: obtaining the data set of new energy usage status in the current management cycle of the energy management platform. The data set of new energy usage status in the current management cycle of the energy management platform specifically includes the new energy usage in the current management cycle, the new energy usage duration in the current management cycle, and the effective utilization rate of new energy in the current management cycle. The new energy usage in the current management cycle refers to the total amount of new energy used in a specific management cycle, such as the usage of renewable energy such as solar energy and wind energy. It can be installed on buildings or equipment through energy monitoring equipment, such as solar photovoltaic panels, wind turbines and other equipment, by monitoring the energy generated by these devices. Acquisition: The duration of new energy use in the current management cycle refers to the length of time that new energy is used within a specific management cycle. The usage time of new energy can be recorded by energy monitoring equipment and obtained in combination with the time information recorded by other equipment or systems. The effective utilization rate of new energy in the current management cycle refers to the effectiveness of using new energy within a specific management cycle, that is, the utilization rate of new energy, which is usually expressed as a percentage. The actual use of energy and the effect produced can be monitored by energy monitoring equipment to calculate the effective utilization rate of new energy. Based on the acquired data set of new energy use status in the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the characteristic value of the new energy use status, and the characteristic value of the new energy use status is used as the analysis basis for judging whether the energy use status in the current management cycle is qualified.

[0041] It needs to be explained that when the above-mentioned new energy usage is large, it means that the usage time of new energy is also longer. If the usage time of new energy increases, then generally the usage of new energy will also increase. If the usage time of new energy decreases, the usage of new energy will also decrease. The usage of new energy and usage time are usually positively correlated. When the usage of new energy increases, the effective utilization rate of new energy may increase because more new energy is utilized. However, if the usage of new energy increases but the utilization efficiency does not increase, that is, there is energy waste, then the effective utilization rate of new energy may be lower. Generally speaking, if the usage time of new energy is longer, then the effective utilization rate of new energy may increase because new energy is continuously utilized. However, if the usage time of new energy is long but the utilization rate is not high, that is, there is idleness or waste in the use of new energy, then the effective utilization rate of new energy may decrease.

[0042] It needs to be explained that the above comprehensive analysis of data such as new energy usage, usage time and effective utilization rate can obtain more comprehensive and integrated new energy usage status characteristic values, which reflect the overall usage of new energy in a specific management cycle, and can avoid one-sided reliance on only one indicator to evaluate the usage status of new energy, so as to more accurately reflect the actual situation. The new energy usage status characteristic values ​​can help evaluate the utilization efficiency and conservation of new energy. By analyzing indicators such as the effective utilization rate of new energy, we can understand the utilization efficiency of new energy, which is helpful to evaluate the energy-saving effect and economic benefit of new energy. Based on the new energy usage status characteristic values, a set of judgment models or rules can be established to detect whether there are abnormal or abnormal conditions in the new energy usage status. Once an abnormality is found, corresponding management measures can be taken in time to ensure the normal operation of the energy system. The new energy usage status characteristic values ​​provide data support and decision-making basis, helping managers to better understand the use of new energy and make scientific and reasonable decisions. The analysis results based on these characteristic values ​​can provide a strong basis for the formulation and adjustment of energy management strategies.

[0043] Furthermore, the specific analysis process of the new energy usage state characteristic value is as follows:

[0044]

[0045] In the formula, α is the characteristic value of the new energy usage state, xl is the new energy usage in the current management cycle, xt is the duration of new energy usage in the current management cycle, xy is the effective utilization rate of new energy in the current management cycle, σ1 is the compensation factor for the set new energy usage in the current management cycle, σ2 is the compensation factor for the set duration of new energy usage in the current management cycle, σ3 is the compensation factor for the set effective utilization rate of new energy in the current management cycle, and e is a natural constant.

[0046] It needs to be explained that the above-mentioned characteristic values ​​of the new energy use status are calculated through the new energy use amount in the current management cycle, the new energy use time in the current management cycle, and the effective utilization rate of new energy in the current management cycle. The new energy use amount in the current management cycle, the new energy use time in the current management cycle, and the effective utilization rate of new energy in the current management cycle are normalized. By evaluating the new energy use amount and the new energy use time, we can fully understand the use of new energy in the current management cycle. Monitoring the new energy use amount and the use time is helpful to understand the consumption of new energy, help managers grasp the actual situation of energy use, and discover abnormal situations and problems in time. By calculating the effective utilization rate of new energy, we can evaluate the utilization efficiency of new energy. The effective utilization rate of new energy reflects the utilization efficiency of new energy in the current management cycle, and helps managers understand the efficiency of energy use, discover the waste or optimization space, and improve the effective utilization rate of new energy. Based on the characteristic value evaluation, it can help managers determine whether energy-saving and emission reduction measures are needed. Based on the characteristic value of the new energy use status, managers can formulate targeted energy-saving and emission reduction strategies, optimize energy use methods, improve the effective utilization rate of new energy, and reduce environmental pollution emissions. Evaluating the characteristic value of the new energy use status can help It helps managers to optimize and improve the management of new energy. According to the evaluation results, managers can adjust the new energy use strategy in time, improve the utilization efficiency of new energy, reduce energy costs, and achieve sustainable energy management. Evaluating the characteristic values ​​of the new energy use status can help improve the resource utilization efficiency. Understanding the characteristic values ​​such as the new energy use amount, use time and effective utilization rate can help optimize the energy management plan, improve the energy utilization efficiency, thereby reducing energy consumption and saving costs. The set compensation factors of the new energy use amount in the current management cycle, the new energy use time in the current management cycle, and the effective utilization rate of new energy in the current management cycle are obtained from the database. According to historical data, a mapping set of the historically measured new energy use amount in the current management cycle, the new energy use time in the current management cycle, and the effective utilization rate of new energy in the current management cycle is established, and the compensation factors of the new energy use amount in the current management cycle, the new energy use time in the current management cycle, and the effective utilization rate of new energy in the current management cycle are obtained. The current new energy use amount in the current management cycle, the new energy use time in the current management cycle, and the effective utilization rate of new energy in the current management cycle corresponding to the compensation factors of the new energy use amount in the current management cycle, the new energy use time in the current management cycle, and the effective utilization rate of new energy in the current management cycle are obtained.

[0047] A data set of traditional energy usage status in the current management cycle of the energy management platform is obtained. Based on the obtained data set of traditional energy usage status in the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the characteristic value of the traditional energy usage status.

[0048] Specifically, based on the obtained traditional energy use status data set of the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the characteristic value of the traditional energy use status. The specific analysis process is: obtain the traditional energy use status data set of the current management cycle of the energy management platform. The traditional energy use status data set of the current management cycle of the energy management platform specifically includes the traditional energy use amount of the current management cycle, the traditional energy use time of the current management cycle, and the effective utilization rate of the traditional energy in the current management cycle. The traditional energy use amount of the current management cycle refers to the total amount of traditional energy (such as coal, oil, natural gas, etc.) consumed in this management cycle, usually expressed in unit energy (such as kilowatt-hours or tons, etc.). The traditional energy use amount can reflect the consumption of traditional energy in this cycle, and is obtained through electricity meters, gas meters, water meters, etc. The current management The duration of traditional energy use in the management cycle refers to the length of time that traditional energy is continuously used during this management cycle, usually in hours. The duration of traditional energy use can reflect the continuous use of traditional energy. The specific acquisition equipment includes time recorders and timers. The effective utilization rate of traditional energy in the current management cycle refers to the proportion of traditional energy that is effectively utilized in this management cycle, that is, the energy utilization efficiency. The acquisition equipment includes operation data recorders of traditional energy consuming equipment (such as coal-fired boilers, engines, etc.), industrial control systems (SCADA), energy monitoring systems, etc.; based on the acquired traditional energy use status data set of the energy management platform in the current management cycle, a comprehensive analysis is performed to obtain the characteristic value of the traditional energy use status, and the characteristic value of the traditional energy use status is used as the analysis basis for judging whether the energy use status in the current management cycle is qualified.

[0049] It needs to be explained that, when the duration of traditional energy use increases, the amount of traditional energy used will often increase, because the long duration of traditional energy use means that traditional energy is continuously used during this period, resulting in an increase in the total amount of traditional energy consumption. If the duration of traditional energy use decreases, the amount of traditional energy used will also decrease accordingly. As the duration of use decreases, the total amount of traditional energy consumption will decrease accordingly. The amount of traditional energy used can be controlled and optimized through the effective utilization rate of traditional energy. When the effective utilization rate of traditional energy increases, it means that more energy output is obtained under the same amount of traditional energy use, that is, the energy utilization efficiency is improved. If the effective utilization rate of traditional energy is low, although the amount of traditional energy used increases, the effect is not obvious relative to the output, and the utilization efficiency is low, which will cause energy waste. The duration of traditional energy use has a certain impact on the effective utilization rate of traditional energy. Although the increase in the duration of traditional energy use increases the energy output, if the effective utilization rate of energy decreases, the relative amount of wasted energy will increase, resulting in a decrease in the overall energy utilization efficiency. If the duration of traditional energy use decreases, although the relative amount of energy waste will decrease, if the effective utilization rate of energy does not increase, the overall energy utilization efficiency will not be significantly improved.

[0050] It needs to be explained that the above-mentioned characteristic values ​​of the use status of traditional energy can concretize the abstract energy use situation and quantitatively evaluate the use status of traditional energy, which can help managers to more intuitively understand the use of traditional energy in the current management cycle and determine whether there is a problem of energy waste or inefficient use. The characteristic values ​​of the use status of traditional energy can provide managers with objective data support and help managers make more accurate and scientific management decisions. Evidence analysis based on data can provide more targeted suggestions for formulating energy-saving and emission reduction measures and optimizing energy utilization strategies. Comprehensive analysis of the characteristic values ​​of the use status of traditional energy can help achieve refined management of energy management, timely grasp the key characteristic values ​​of energy use, help discover problems, improve measures, and achieve precise control of each link, improve energy utilization efficiency, and based on the comprehensive analysis of the characteristic values ​​of the use status of traditional energy, data-driven energy management can be achieved. Through in-depth mining and analysis of data, potential problems, trends and opportunities can be discovered, providing a more scientific and forward-looking management solution for energy management.

[0051] Furthermore, the specific analysis process of the characteristic value of the traditional energy use state is as follows:

[0052]

[0053] Where β is the characteristic value of the traditional energy use state, cl is the traditional energy use in the current management cycle, ct is the traditional energy use duration in the current management cycle, cy is the effective utilization rate of traditional energy in the current management cycle, τ1 is the compensation factor for the set traditional energy use in the current management cycle, τ2 is the compensation factor for the set traditional energy use duration in the current management cycle, and τ3 is the compensation factor for the set effective utilization rate of traditional energy in the current management cycle.

[0054] It needs to be explained that the above-mentioned characteristic values ​​of the use status of traditional energy are calculated through the use of traditional energy in the current management cycle, the use time of traditional energy in the current management cycle, and the effective utilization rate of traditional energy in the current management cycle. The use of traditional energy in the current management cycle, the use time of traditional energy in the current management cycle, and the effective utilization rate of traditional energy in the current management cycle are normalized. By evaluating the use of traditional energy and the use time of traditional energy, we can have a comprehensive understanding of the use of traditional energy in the current management cycle. Monitoring the use of traditional energy helps managers understand energy consumption, identify potential energy-saving opportunities, and promptly discover and solve energy waste problems. By calculating the effective utilization rate of traditional energy, we can evaluate the utilization efficiency of traditional energy. The effective utilization rate of traditional energy reflects the effective utilization of traditional energy in the current management cycle, helping managers understand the efficiency level of energy utilization, discover opportunities to optimize energy utilization, and improve the effective utilization rate of traditional energy. The evaluation results of the characteristic values ​​of the use status of traditional energy can provide support for energy-saving and emission reduction decisions. By analyzing the characteristic values ​​of traditional energy use, use time, and effective utilization rate, we can formulate energy-saving and emission reduction strategies, reduce traditional energy consumption, and reduce environmental pollution emissions. The characteristics of the use status of traditional energy can be evaluated. The value can help optimize energy management. According to the characteristic value evaluation results, the energy use strategy can be adjusted to improve the utilization efficiency of traditional energy, optimize energy management measures, reduce energy costs, and improve energy utilization efficiency. It can also help improve resource utilization efficiency. Understanding the characteristic values ​​of traditional energy usage, usage time, and effective utilization rate can help optimize energy utilization strategies, improve resource utilization efficiency, reduce resource waste, and save costs. The set compensation factors of the current management cycle traditional energy usage, the current management cycle traditional energy usage time, and the current management cycle traditional energy effective utilization rate are obtained from the database. According to historical data, a mapping set of historically measured current management cycle traditional energy usage, current management cycle traditional energy usage time, current management cycle traditional energy effective utilization rate and current management cycle traditional energy usage, current management cycle traditional energy usage time, and current management cycle traditional energy effective utilization rate compensation factors is established to obtain the current management cycle traditional energy usage, current management cycle traditional energy usage time, and current management cycle traditional energy effective utilization rate corresponding to the current management cycle traditional energy usage, current management cycle traditional energy usage time, and current management cycle traditional energy effective utilization rate compensation factors.

[0055] The energy use status assessment deviation value, new energy use status characteristic value and traditional energy use status characteristic value are imported into the energy management assessment model to obtain the energy use status assessment value of the current management cycle.

[0056] Specifically, the energy usage status assessment deviation value, the new energy usage status characteristic value and the traditional energy usage status characteristic value are imported into the energy management assessment model to obtain the energy usage status assessment value of the current management cycle. The specific analysis process is: the energy usage status assessment deviation value, the new energy usage status characteristic value and the traditional energy usage status characteristic value are imported into the energy management assessment model, and the energy usage status assessment value of the current management cycle is obtained through comprehensive analysis. The energy usage status assessment value of the current management cycle is used as the analysis basis for judging whether the energy usage status of the current management cycle is qualified.

[0057] In a specific embodiment, the energy management evaluation model includes the following specific analysis process:

[0058]

[0059] Where δ is the energy use status assessment value of the current management cycle, α is the new energy use status characteristic value, β is the traditional energy use status characteristic value, γ0 is the energy use status assessment deviation value, and e is a natural constant.

[0060] It needs to be explained that the above-mentioned consideration of the energy use status assessment deviation value, the new energy use status characteristic value and the traditional energy use status characteristic value can more comprehensively assess the energy use status of the current management cycle, help to comprehensively understand the energy use situation from multiple dimensions, and improve the accuracy and credibility of the assessment. Combining the new energy use status characteristic value with the traditional energy use status characteristic value for assessment can help measure the effect of the conversion between new and old energy, compare the performance of new and old energy in terms of utilization efficiency and degree of conservation, help evaluate the actual application effect of new energy, and guide future energy strategic planning and adjustment. The energy use status assessment deviation value can be used as a reference value to help assess the deviation of the energy use status of the current management cycle from the expected value. The analysis of the deviation value can timely discover the problems and deficiencies in energy management, take targeted improvement measures, and improve energy utilization efficiency and management level. Based on the energy use status assessment value of the current management cycle, it is possible to monitor and adjust the energy use status, adjust the management strategy in time, optimize resource allocation, effectively respond to changes in energy use, and ensure the timeliness and flexibility of energy management.

[0061] The energy use status dataset of the historical management period of the energy management platform is obtained, and the reference assessment range of the energy use status is obtained by comparison based on the energy use status dataset of the historical management period of the energy management platform.

[0062] Specifically, based on the energy management platform's historical management cycle energy usage status data set obtained, the energy usage status reference assessment range is obtained by comparison. The specific analysis process is: obtain the energy management platform's historical management cycle energy usage status data set. The energy management platform's historical management cycle energy usage status data set specifically includes the historical management cycle's average energy usage, the historical management cycle's average effective energy utilization rate, and the historical management cycle's average energy savings. The historical management cycle's average energy usage represents the average amount of energy consumed per unit time during the historical management cycle, which can help evaluate the energy consumption per unit time and reflects the total amount of energy used. The historical management cycle's average effective energy utilization rate represents the effective utilization ratio of energy during the historical management cycle. The historical management cycle's average energy savings represents the energy achieved through energy-saving measures during the historical management cycle. The amount of savings describes the energy-saving effect achieved through energy-saving measures within a certain period, and is an effectiveness evaluation indicator of energy-saving measures. The average energy usage in the historical management period, the average effective energy utilization rate in the historical management period, and the average energy saving in the historical management period can be obtained through energy monitoring software; based on the energy management platform's historical management period energy usage status data set obtained, a comprehensive analysis is performed to obtain the historical management period energy usage status evaluation value, and the historical management period energy usage status evaluation value is used as an analysis basis for judging whether the current management period energy usage status is qualified; the historical management period energy usage status evaluation value is compared with the energy usage status reference evaluation range corresponding to the energy usage status evaluation values ​​of each historical management period stored in the database, and the energy usage status reference evaluation range corresponding to the historical management period energy usage status evaluation value is obtained.

[0063] In a specific embodiment, the average energy usage indicates the average amount of energy consumed per unit time, and the average effective energy utilization rate indicates the effective utilization ratio of energy. If the average energy usage is large, the average effective energy utilization rate may be low, because a large amount of energy consumption may lead to low utilization efficiency. The energy utilization efficiency should be improved to reduce the average energy usage and achieve the goal of saving energy. The average effective energy utilization rate reflects the degree of effective energy utilization, and the average energy saving amount indicates the energy saving amount achieved through energy-saving measures. If the average effective energy utilization rate is high, it indicates that the energy utilization efficiency is relatively good, and the corresponding energy-saving measures may achieve more energy saving. Improving the average effective energy utilization rate helps to increase the average energy saving amount and achieve more energy-saving effects. When the average energy usage is large, it indicates that more energy is consumed per unit time, and the corresponding average energy saving amount achieved through energy-saving measures may be greater. Reducing the average energy usage can provide more space for the realization of energy-saving goals and promote the increase of average energy saving.

[0064] It needs to be explained that the above comparison of the energy use status assessment value of the historical management cycle with the reference assessment range can realize the monitoring and evaluation of the energy use status of the current management cycle, which is helpful for managers to grasp the energy use situation in time, find abnormalities or problems, and take adjustment measures in time to ensure the realization of energy management goals. The reference assessment range of energy use status is formulated based on historical data and standards, reflecting a reasonable range of energy use status. By comparing the energy use status assessment value of the historical management cycle with the reference assessment range, the energy use status can be quantified into a standardized assessment value, which is conducive to comparing and analyzing the energy use status of different management cycles. The reference assessment range of energy use status can provide managers with a basis for decision-making. By comparing the energy use status assessment value of the historical management cycle with the reference assessment range, the degree of compliance of the energy use status of the current management cycle can be determined, and managers can be guided to adjust and optimize the energy use strategy to achieve the goals of energy saving and efficiency improvement. By constantly comparing the energy use status assessment value of the historical management cycle with the reference assessment range, potential problems and improvement space in energy management can be discovered, and improvement plans can be formulated. Continuous improvement can gradually improve energy utilization efficiency, reduce energy consumption, and achieve continuous energy saving and environmental protection effects.

[0065] It should be explained that the above historical management cycle energy usage status assessment value, the specific analysis process is as follows:

[0066]

[0067] Wherein, ω is the energy usage status assessment value of the historical management period, sy is the average energy usage of the historical management period, sl is the average effective utilization rate of energy in the historical management period, jn is the average energy saving in the historical management period, ε1 is the compensation factor of the set average energy usage of the historical management period, ε2 is the compensation factor of the set average effective utilization rate of energy in the historical management period, ε3 is the compensation factor of the set average energy saving in the historical management period, and e is a natural constant.

[0068] It should be explained that the above-mentioned historical management cycle energy usage status evaluation value is calculated through the historical management cycle average energy usage, historical management cycle average energy effective utilization rate, and historical management cycle average energy saving. The historical management cycle average energy usage, historical management cycle average energy effective utilization rate, and historical management cycle average energy saving are normalized to conduct historical trend analysis and understand the average energy usage, effective utilization rate, and energy saving in the past period of time. This can help managers understand the development trend of energy management, discover problems and improvement directions in energy utilization, and consider the historical management cycle average energy usage, effective utilization rate, and energy saving. Performance comparisons between different cycles can be performed. By comparing historical data, the improvement or decline in energy utilization efficiency can be evaluated, the key points of optimizing management measures can be found, and more effective management strategies can be formulated. The evaluation value of energy usage status in the historical management cycle can provide a reference for setting goals and plans for future energy management. By understanding the historical average usage, effective utilization rate, and energy saving, managers can determine future energy utilization goals, formulate specific plans and measures, and guide future energy management work. By evaluating the evaluation value of energy usage status in the historical management cycle, managers can continuously Improve energy management work. Based on the feedback from historical average data, managers can identify room for improvement and necessary measures, continuously optimize energy management methods, improve management efficiency, and achieve continuous improvement of energy management. By analyzing the evaluation value of energy usage status in the historical management cycle, managers can promptly discover potential risks. If there are abnormalities in the historical average data, it may mean that there are problems or hidden dangers in energy management. Timely measures should be taken to solve the problems and avoid unnecessary losses. The set compensation factors for the average energy usage of the historical management cycle, the average effective utilization rate of energy in the historical management cycle, and the average energy saving in the historical management cycle are obtained from the database. Based on historical data, a mapping set of the historically measured average energy usage of the historical management cycle, the average effective utilization rate of energy in the historical management cycle, the average energy saving in the historical management cycle and the compensation factors for the average energy usage of the historical management cycle, the average effective utilization rate of energy in the historical management cycle, and the average energy saving in the historical management cycle is established to obtain the compensation factors for the average energy usage of the historical management cycle, the average effective utilization rate of energy in the historical management cycle, and the average energy saving in the historical management cycle corresponding to the current average energy usage of the historical management cycle, the average effective utilization rate of energy in the historical management cycle, and the average energy saving in the historical management cycle.

[0069] Based on the current management cycle energy usage status assessment value, combined with the energy usage status reference assessment range, determine whether the current management cycle energy usage status is qualified, and compare the unqualified solution if the current management cycle energy usage status is unqualified.

[0070] Specifically, determine whether the energy usage status of the current management cycle is qualified, and compare the unqualified solution when the energy usage status of the current management cycle is unqualified. The specific analysis process is: compare the current management cycle energy usage status assessment value with the energy usage status reference assessment range; if the current management cycle energy usage status assessment value belongs to the energy usage status reference assessment range, then the current management cycle energy usage status corresponding to the current management cycle energy usage status assessment value is qualified; if the current management cycle energy usage status assessment value does not belong to the energy usage status reference assessment range, then the current management cycle energy usage status corresponding to the current management cycle energy usage status assessment value is unqualified, and the difference between the median of the energy usage status reference assessment range and the current management cycle energy usage status assessment value is recorded as the current management cycle energy usage status assessment deviation value, and the current management cycle energy usage status assessment deviation value is compared with the unqualified solutions corresponding to each current management cycle energy usage status assessment deviation value stored in the database to obtain the unqualified solution corresponding to the current management cycle energy usage status assessment deviation value.

[0071] It needs to be explained that the above comparison of the current management cycle energy usage status assessment value with the reference assessment range can quickly identify whether the energy usage status of the current management cycle is qualified. If the assessment value is not within the range, it means that there is a problem and further analysis and processing are required. By comparing the current management cycle energy usage status assessment deviation value with the unqualified solutions stored in the database, a personalized solution suitable for the current situation can be selected, which helps to solve the problem in a targeted manner and improve the efficiency and effectiveness of problem solving. The use of appropriate unqualified solutions can help optimize energy utilization, improve energy utilization efficiency, reduce energy consumption, help save costs, and enhance the competitiveness of enterprises or institutions. By comparing the current management cycle energy usage status assessment deviation value and the corresponding unqualified solutions, inspiration and suggestions for improvement can be obtained, which helps energy managers to make continuous improvements, help to gradually improve the level of energy management, and achieve long-term energy-saving effects.

[0072] It needs to be explained that the above-mentioned method judges whether the energy usage status of the current management cycle is qualified based on the evaluation value of the energy usage status of the current management cycle and combines the energy usage status with the reference evaluation scope, and compares the unqualified solutions when the energy usage status of the current management cycle is unqualified. It can timely discover the problem and take corresponding solutions to avoid further expansion or deterioration of the problem and ensure the smooth progress of energy management. Comparing unqualified solutions can help to quickly understand the problem and make targeted adjustments and improvements, improve management efficiency, save time and cost, and summarize the root cause of the problem by comparing unqualified solutions, which can provide reference and improvement direction for future energy management work and promote continuous improvement of management level.

[0073] It needs to be explained that the above-mentioned method provides a digital management method for the energy management platform, obtains the data of the energy management platform, and compares, analyzes and evaluates it, so as to realize timely monitoring and evaluation of the energy usage status, timely discover problems and take measures. The data obtained based on the digital management method can provide scientific data support, help make more accurate and scientific energy management decisions, improve management level and decision-making effect, and the digital management method can realize data integration and automated processing, save human resource costs, improve work efficiency, reduce the occurrence of human errors, and improve the accuracy and consistency of management.

[0074] 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 by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A digital management method for an energy management platform, characterized in that: The following steps are involved: Obtain the current management cycle data synchronization and storage status data set of the energy management platform, and compare and obtain the energy usage status assessment deviation value based on the obtained current management cycle data synchronization and storage status data set of the energy management platform; Based on the current management cycle data synchronization and storage status data set of the energy management platform, the energy usage status assessment deviation value is obtained by comparison. The specific analysis process is as follows: Obtain the data set of data synchronization and storage status of the current management cycle of the energy management platform. The data set of data synchronization and storage status of the current management cycle of the energy management platform specifically includes the data synchronization delay of the current management cycle, the average storage time of the data of the current management cycle, and the transmission network bandwidth of the data synchronization process of the current management cycle; Based on the acquired data set of data synchronization and storage status of the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the evaluation value of data synchronization and storage status of the current management cycle. The evaluation value of data synchronization and storage status of the current management cycle is used as the analysis basis for comparing and obtaining the evaluation deviation value of energy usage status; Compare the current management cycle data synchronization and storage status evaluation value with the energy use status evaluation deviation value corresponding to each current management cycle data synchronization and storage status evaluation value stored in the database to obtain the energy use status evaluation deviation value corresponding to the current management cycle data synchronization and storage status evaluation value; The current management cycle data synchronization and storage status evaluation value. The specific analysis process is as follows: ； In the formula, is the evaluation value of data synchronization and storage status in the current management cycle, sy is the data synchronization delay in the current management cycle, sc is the average storage time for data completion in the current management cycle, dk is the transmission network bandwidth of the data synchronization process in the current management cycle, is the compensation factor for the data synchronization delay of the current management cycle. The compensation factor for the average storage time of the current management cycle data. A compensation factor for the transmission network bandwidth of the data synchronization process of the current management cycle; Obtain a data set of new energy usage status in the current management cycle of the energy management platform, and obtain a new energy usage status characteristic value through comprehensive analysis based on the obtained data set of new energy usage status in the current management cycle of the energy management platform; Obtain a data set of the traditional energy use status in the current management period of the energy management platform, and obtain a characteristic value of the traditional energy use status through comprehensive analysis based on the obtained data set of the traditional energy use status in the current management period of the energy management platform; The energy use status assessment deviation value, the new energy use status characteristic value and the traditional energy use status characteristic value are introduced into the energy management assessment model to obtain the energy use status assessment value of the current management cycle; Obtaining a data set of energy usage status in the historical management period of the energy management platform, and obtaining a reference assessment range of energy usage status based on the obtained data set of energy usage status in the historical management period of the energy management platform; Based on the current management cycle energy usage status assessment value, combined with the energy usage status reference assessment range, determine whether the current management cycle energy usage status is qualified, and compare the unqualified solution if the current management cycle energy usage status is unqualified.

2. A digital management method for an energy management platform according to claim 1, characterized in that: The energy management platform obtains a new energy usage status data set in the current management period, and comprehensively analyzes the new energy usage status characteristic value. The specific analysis process is as follows: Obtain the new energy usage status data set of the current management cycle of the energy management platform. The new energy usage status data set of the current management cycle of the energy management platform specifically includes the new energy usage amount of the current management cycle, the new energy usage duration of the current management cycle, and the effective utilization rate of new energy in the current management cycle; Based on the acquired data set of new energy usage status in the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the new energy usage status characteristic value, which is used as the analysis basis for judging whether the energy usage status in the current management cycle is qualified.

3. A digital management method for an energy management platform according to claim 2, characterized in that: The specific analysis process of the new energy use state characteristic value is as follows: ； In the formula, is the characteristic value of the new energy use status, xl is the new energy use amount in the current management cycle, xt is the new energy use duration in the current management cycle, xy is the effective utilization rate of new energy in the current management cycle, is the compensation factor for the new energy usage in the current management cycle. The compensation factor for the duration of new energy use in the current management cycle is set. is the compensation factor for the effective utilization rate of new energy in the current management cycle, and e is a natural constant.

4. A digital management method for an energy management platform according to claim 1, characterized in that: The traditional energy use status data set of the current management cycle of the energy management platform is obtained, and the traditional energy use status characteristic value is obtained by comprehensive analysis. The specific analysis process is as follows: Obtain a data set of the traditional energy usage status of the current management cycle of the energy management platform. The data set of the traditional energy usage status of the current management cycle of the energy management platform specifically includes the traditional energy usage amount of the current management cycle, the traditional energy usage duration of the current management cycle, and the effective utilization rate of the traditional energy of the current management cycle; Based on the traditional energy usage status data set of the current management cycle of the energy management platform, a comprehensive analysis is performed to obtain the characteristic value of the traditional energy usage status. The characteristic value of the traditional energy usage status is used as the analysis basis for judging whether the energy usage status of the current management cycle is qualified.

5. A digital management method for an energy management platform according to claim 4, characterized in that: The specific analysis process of the characteristic value of the traditional energy use state is as follows: ； In the formula, is the characteristic value of the traditional energy use status, cl is the traditional energy use in the current management cycle, ct is the traditional energy use duration in the current management cycle, cy is the effective utilization rate of traditional energy in the current management cycle, is the compensation factor for the traditional energy usage in the current management cycle. The compensation factor for the traditional energy usage duration of the current management cycle is set. It is the compensation factor for the effective utilization rate of traditional energy in the current management cycle.

6. The digital management method for an energy management platform according to claim 1, characterized in that: The energy use status evaluation deviation value, the new energy use status characteristic value and the traditional energy use status characteristic value are introduced into the energy management evaluation model to obtain the energy use status evaluation value of the current management cycle. The specific analysis process is as follows: The energy usage status assessment deviation value, new energy usage status characteristic value and traditional energy usage status characteristic value are imported into the energy management assessment model, and a comprehensive analysis is performed to obtain the energy usage status assessment value of the current management cycle. The energy usage status assessment value of the current management cycle is used as the analysis basis for judging whether the energy usage status of the current management cycle is qualified.

7. A digital management method for an energy management platform according to claim 1, characterized in that: The energy use status data set of the historical management cycle of the energy management platform is obtained, and the reference assessment range of the energy use status is obtained by comparison. The specific analysis process is as follows: Obtain the energy usage status data set of the energy management platform in the historical management period. The energy usage status data set of the energy management platform in the historical management period specifically includes the average energy usage in the historical management period, the average effective utilization rate of energy in the historical management period, and the average energy saving in the historical management period; Based on the energy use status data set of the historical management cycle of the energy management platform, a comprehensive analysis is performed to obtain the energy use status evaluation value of the historical management cycle. The energy use status evaluation value of the historical management cycle is used as the analysis basis for judging whether the energy use status of the current management cycle is qualified. The energy usage status assessment value of the historical management cycle is compared with the energy usage status reference assessment range corresponding to each historical management cycle energy usage status assessment value stored in the database to obtain the energy usage status reference assessment range corresponding to the historical management cycle energy usage status assessment value.

8. The digital management method for an energy management platform according to claim 1, characterized in that: The specific analysis process of judging whether the energy usage status of the current management cycle is qualified and comparing the unqualified solution when the energy usage status of the current management cycle is unqualified is as follows: Compare the energy use status assessment value of the current management period with the energy use status reference assessment range; If the current management cycle energy usage status assessment value falls within the energy usage status reference assessment range, the current management cycle energy usage status corresponding to the current management cycle energy usage status assessment value is qualified; If the energy usage status assessment value of the current management cycle does not fall within the energy usage status reference assessment range, the energy usage status of the current management cycle corresponding to the energy usage status assessment value of the current management cycle is unqualified, and the difference between the median of the energy usage status reference assessment range and the energy usage status assessment value of the current management cycle is recorded as the current management cycle energy usage status assessment deviation value, and the current management cycle energy usage status assessment deviation value is compared with the unqualified solutions corresponding to each current management cycle energy usage status assessment deviation value stored in the database to obtain the unqualified solution corresponding to the current management cycle energy usage status assessment deviation value.

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