Electricity consumption monitoring analysis method

Abstract

The invention discloses a power consumption monitoring analysis method, which relates to the technical field of power data analysis, and comprises the following steps of: acquiring current monitored power consumption data by using a data acquisition module, substituting the power consumption data for calculation by using a data comprehensive processing module, and outputting to obtain a total power consumption value ZD, a power consumption efficiency value DX and a power consumption cost estimation value C; and based on the electricity consumption cost estimation value CG, analyzing the monitored electricity consumption condition by using a result analysis and feedback module, compiling an electricity consumption monitoring analysis report, and adjusting an electricity consumption strategy according to the analysis report. The method not only solves the problems of data singleness, lack of dynamic adjustment, one-sided efficiency evaluation and lack of comprehensive analysis ability in the prior art, but also provides powerful technical support and decision basis for energy management through accurate cost estimation and optimized efficiency evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of power data analysis, and in particular to a method for monitoring and analyzing power consumption. Background Art

[0002] With the continuous development and improvement of the power system, the power network has gradually realized automation and intelligent management. The power system can be roughly divided into five main links: power generation, transmission, transformation, distribution, and consumption. Power consumption monitoring mainly focuses on the distribution and consumption links. Modern power systems have put forward higher requirements on power supply reliability, power quality and power efficiency. Power consumption monitoring and analysis methods have emerged and become an important tool to ensure the stable operation and efficient management of power systems.

[0003] The electricity consumption monitoring and analysis method mainly relies on the development of modern power systems, the advancement of Internet of Things technology and the improvement of data analysis capabilities. This method is a technical means widely used in the field of energy management. It aims to achieve comprehensive monitoring and evaluation of electricity consumption behavior through real-time or regular data collection, processing and analysis.

[0004] Traditional electricity monitoring methods often rely only on single data indicators of total electricity and average power, ignoring the impact of peak power changes and load waste on electricity efficiency and cost. Cost estimation in existing technologies is mostly based on static estimated electricity charges, failing to fully consider the impact of changes in actual electricity efficiency on costs, resulting in inaccurate estimation results and lack of dynamic adjustment. Although some systems calculate electricity efficiency, the evaluation method is simple and fails to fully reflect the efficiency performance of the system under different load conditions, nor can it provide effective optimization suggestions, making the efficiency evaluation too one-sided. Existing technologies often lack the comprehensive analysis capabilities that organically combine electricity consumption, efficiency index and cost estimation, making it difficult to form a comprehensive electricity monitoring report and decision support. Summary of the invention

[0005] The purpose of the present invention is to provide a method for monitoring and analyzing electricity consumption, which solves the problems raised in the above-mentioned background technology.

[0006] To achieve the above purpose, the present invention provides the following technical solution, and the specific monitoring and analysis steps are as follows: Use the data acquisition module to collect the currently monitored power consumption data; Using the data comprehensive processing module, the electricity consumption data is substituted into the calculation, and the total electricity consumption value ZD, the electricity efficiency value DX and the electricity cost estimation value CG are output; The data comprehensive processing module includes a unit for providing and reflecting power consumption, a unit for evaluating the power efficiency in the actual operation of the system, and a unit for estimating the adjusted power cost; Based on the estimated value of electricity cost CG, and using the result analysis and feedback module, analyze the monitored electricity usage, compile an electricity monitoring analysis report, and adjust the electricity usage strategy according to the analysis report; The equipment used by the acquisition module includes a smart meter and a data collector; The equipment used by the data comprehensive processing module includes a server and a computer; The equipment used in the result analysis and feedback module includes analysis software.

[0007] Optionally, the calculation formula for providing and reflecting the power consumption unit is as follows: ZD=JYD+(DF-SF) 2 / 2; JYD=PG*SD; in: ZD is the total power consumption value; JYD is the basic electricity consumption value; PG is the average power value per hour, SD is the value per time unit; DF is the current peak power value; SF is the last recorded peak power value. SF represents the current peak power value that was last provided and reflected in the calculation of the power consumption unit.

[0008] Optionally, the calculation formula of the power efficiency evaluation unit in the actual operation of the system is as follows: ; XY = (1 + (LF / ZLF)); in: DX is the power efficiency value; XY is the efficiency adjustment factor, which is used to adjust the basic efficiency index to reflect the efficiency loss of the system in actual operation; LF is the wasted load value; ZLF is the total load value.

[0009] Optionally, the calculation formula of the adjusted electricity cost estimation unit is as follows: CG=YD*[DX+(ZD-YD*DX) / (YD*DX avg )]; DX avg =(DX 1 +DX 2 +DX 3 +......+DX n ) / n; in: CG is the estimated value of electricity cost; YD is the estimated electricity cost value; DX avg is the average power efficiency value; n is the total value, n represents DX 1 +DX 2 +DX 3 +......+DX n The total number of calculated parameters in the DX 1 +DX 2 +DX 3 +......+DX n Reflects DX 1 To DX n The sum of the power efficiency values ​​DX for each time.

[0010] Optionally, based on the average power efficiency value DX of the adjusted power cost estimation unit avg The analysis and adjustment of the output electricity cost estimate CG are as follows: S1. If the result value of the power efficiency value DX is greater than the average power efficiency value DX avg , and the result value of the electricity cost estimation value CG decreases, which indicates that the efficiency of the power system is improved and cost savings are achieved. The analysis concludes that the energy-saving measures are implemented effectively, and equipment upgrades and management are optimized; S2. If the result value of the power efficiency value DX is less than the average power efficiency value DX avg If the result value of the electricity cost estimation value CG increases, it means that the efficiency of the power system has decreased, resulting in increased costs. The cause should be found immediately and measures should be taken to improve efficiency, including strengthening equipment maintenance, optimizing load distribution and introducing energy-saving technologies.

[0011] Optionally, the electricity cost estimation value CG generates a decreasing and increasing evaluation criterion in the above analysis and adjustment, which is derived from the electricity cost estimation value CG output by the electricity cost estimation unit after the last round of adjustment in the previous round of cyclic analysis; After the power consumption unit is provided and reflected, the power efficiency evaluation unit in the actual operation of the system and the adjusted power cost estimation unit calculate in sequence and cycle, and the complete cycle feedback of the power cost estimation value CG that reaches the expected standard is one round.

[0012] Optionally, the average power efficiency value DX avg That is, the average value of the sum of the power efficiency values ​​DX in each round, and the current average power efficiency value DX avg The calculations all refer to all electricity efficiency values ​​DX from the previous round.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention introduces and reflects the power consumption unit, thereby realizing comprehensive data collection and processing of the hourly average power value PG, the time unit value SD, the current peak power value DF and the last recorded peak power value SF, and fully considers the impact of peak fluctuations on power consumption, thereby improving the accuracy and comprehensiveness of the data.

[0014] 2. The present invention calculates the power efficiency value DX through the power efficiency evaluation unit in the actual operation of the system. It not only takes into account the relationship between the total power consumption and the power, but also introduces the ratio of the wasted load value LF to the total load value ZLF as the efficiency adjustment factor XY, thereby realizing a dynamic evaluation of the system efficiency. This evaluation method is more comprehensive and objective, and can accurately reflect the efficiency performance of the system under different conditions.

[0015] 3. The present invention utilizes the estimation of the adjusted electricity cost estimation unit. On the basis of the estimated electricity fee value YD, it combines the current electricity efficiency value DX and the total electricity consumption value ZD, and estimates the adjusted electricity cost estimation value CG through an algorithm. This estimation method fully considers the impact of changes in actual electricity efficiency on costs, making the estimation result more accurate and reliable.

[0016] 4. The present invention forms a complete electricity consumption monitoring and analysis method by providing and reflecting the power consumption unit, the organic combination of the electricity efficiency evaluation unit in the actual operation of the system and the adjusted electricity cost estimation unit. The method can comprehensively analyze the relationship between electricity consumption, efficiency and cost, provide detailed monitoring reports and decision support, and at the same time, according to the analysis results, can put forward targeted optimization suggestions, so as to further improve electricity efficiency and reduce costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a method flow chart of the electricity consumption monitoring and analysis method; Figure 2 It is a structural schematic diagram of the data comprehensive processing module of the present invention; Figure 3 This is a schematic diagram of the process analysis for analyzing and adjusting the electricity consumption monitoring and analysis method. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Regarding this electricity consumption monitoring and analysis method, it is different from the traditional electricity consumption monitoring method. The traditional electricity consumption monitoring method ignores the impact of peak power changes and load waste on electricity efficiency and cost, and fails to fully consider the impact of changes in actual electricity efficiency on cost, resulting in inaccurate estimation results. In addition, it fails to fully reflect the efficiency performance of the system under different load conditions, and cannot provide effective optimization suggestions, making the efficiency evaluation too one-sided. Most importantly, the existing technology often lacks the comprehensive analysis ability to organically combine electricity consumption, efficiency index and cost estimation, making it difficult to form a comprehensive electricity consumption monitoring report and decision support. This algorithm unit realizes comprehensive monitoring and evaluation of electricity consumption, efficiency and cost. This method not only solves the problems of data singleness, lack of dynamic adjustment, one-sided efficiency evaluation and lack of comprehensive analysis ability in the existing technology, but also provides strong technical support and decision-making basis for energy management through accurate cost estimation and optimized efficiency evaluation.

[0020] For example, see Figures 1 to 3 , this implementation provides a method for monitoring and analyzing electricity consumption, and the specific monitoring and analysis steps are as follows: Use the data acquisition module to collect the currently monitored power consumption data; Using the data comprehensive processing module, the electricity consumption data is substituted into the calculation, and the total electricity consumption value ZD, the electricity efficiency value DX and the electricity cost estimation value CG are output; The data comprehensive processing module includes a unit for providing and reflecting power consumption, a unit for evaluating the power efficiency in the actual operation of the system, and a unit for estimating the adjusted power cost; Based on the estimated value of electricity cost CG, and using the result analysis and feedback module, analyze the monitored electricity usage, compile an electricity monitoring analysis report, and adjust the electricity usage strategy according to the analysis report; The equipment used in the acquisition module includes smart meters and data collectors; The equipment used in the data comprehensive processing module includes servers and computers; The equipment used in the result analysis and feedback module includes analysis software.

[0021] In this embodiment, the smart meter is used to measure and record electricity consumption data in real time, the data collector is used to collect data from the smart meter device, the server and computer serve as the data processing center and the hardware platform for running the analysis software, the analysis software is used for result analysis and report generation, and the printer is used to print the analysis report of the analysis software.

[0022] Through the above method steps, module division, key units and equipment used.

[0023] In this embodiment, the system forms a comprehensive and accurate analysis and evaluation system for electricity consumption behavior through the mutual cooperation of three algorithm units and the combination of three operation results of ZD, DX and CG. ZD is the total electricity consumption value. In the electricity consumption monitoring and analysis, it is very important to calculate the total electricity consumption value ZD. It can help users and managers understand the power consumption of equipment, systems and the entire building, so as to conduct energy efficiency evaluation, cost control and energy saving optimization. DX is the electricity efficiency value, which provides a quantitative indicator for evaluating the electricity efficiency of equipment and systems in actual operation, and can identify potential energy efficiency improvement opportunities, so as to guide the formulation and implementation of energy-saving measures. CG is the power consumption efficiency value. The estimated value of electricity cost is of great significance for electricity consumption monitoring and analysis. The estimated value of electricity cost CG can serve as a feedback signal to help users and managers understand the difference between the current electricity efficiency and the long-term average level, as well as the impact of this difference on electricity costs. It is an important basis for formulating energy-saving measures and evaluating energy-saving effects. The calculation results of CG can also affect the calculation of feedback to ZD and DX, so that the correlation and entanglement relationship between the three algorithms of this system is reflected in data dependence, logical progression, mutual influence, comprehensive evaluation and feedback adjustment. Together, they constitute a complete electricity consumption monitoring and analysis system, which provides strong support for the intelligent management and efficient operation of the power system.

[0024] See also Figures 1 to 3 , providing and reflecting the calculation formula of the power consumption unit as follows: ZD=JYD+(DF-SF) 2 / 2; JYD=PG*SD; in: ZD is the total power consumption value; JYD is the basic electricity consumption value; PG is the average power value per hour, SD is the value per time unit; DF is the current peak power value; SF is the last recorded peak power value. SF represents the current peak power value that was last provided and reflected in the calculation of the power consumption unit.

[0025] In this embodiment: First, in this algorithm unit, PG is the average power value per hour, SD is the time unit value, and the multiplication of the two is the basic power consumption value JYD of the system within a certain period of time without considering the peak fluctuation. The basic power consumption value JYD and (DF-SF) 2 / 2, we can get a more comprehensive and accurate total power consumption value ZD that takes into account the additional impact of peak fluctuations on power consumption; The DF-SF calculation reflects the change in peak power. Squaring this change will amplify the impact of this change, so that even small peak fluctuations can be reflected in the calculation of the power consumption unit. The square operation here plays a role in emphasizing the amplitude of fluctuations, making the calculation result more sensitive to changes in peak values; This algorithm unit takes into account the main components of the basic electricity consumption, the hourly average power value PG and the time unit value SD, and also introduces the change between the current peak power value DF and the last recorded peak power value SF, so as to more comprehensively reflect the actual electricity consumption situation. By introducing the square term of the peak power change, it provides and reflects that the power consumption unit can more accurately capture the fluctuation of electricity consumption, especially during peak hours, which is of great significance for evaluating electricity load and optimizing electricity consumption plans. The calculated total electricity consumption value ZD is the basis for subsequent electricity efficiency evaluation and cost estimation, and provides important data input for the entire electricity monitoring and analysis process.

[0026] See also Figures 1 to 3 , the calculation formula of the power efficiency evaluation unit in the actual operation of the system is as follows: ; XY = (1 + (LF / ZLF)); in: DX is the power efficiency value; XY is the efficiency adjustment factor, which is used to adjust the basic efficiency index to reflect the efficiency loss of the system in actual operation; LF is the wasted load value; ZLF is the total load value.

[0027] In this embodiment, first, the power consumption efficiency evaluation unit in the actual operation of the system performs evaluation calculation based on the power consumption unit provided and reflected, wherein: This part of the calculation measures the total amount of average power and peak power used by the system equipment under a given total power consumption. By calculating this ratio, we can preliminarily evaluate the efficiency of the system and equipment in using electrical energy. The higher the ratio, the greater the total amount of average power and peak power used by the system and equipment under a given total power consumption, indicating that its power utilization efficiency is higher. Subsequently, this part of the calculation result is multiplied by the efficiency adjustment factor XY, that is, the output is used to evaluate the power efficiency value DX of the equipment and system in actual operation; This part of the calculation only considers the proportional relationship between power and total power consumption, which is a relatively rough assessment. The introduction of the efficiency adjustment factor XY makes the assessment more precise because it takes into account the waste of load, that is, the part of electric energy that is not effectively utilized during the operation of the system and equipment. Through the efficiency adjustment factor XY, the power efficiency assessment unit in the actual operation of the system can more accurately reflect the actual operating efficiency of the system and equipment. For an efficient system equipment, the wasted load value LF should be relatively low, so the efficiency adjustment factor XY will be close to 1, indicating that most of the load is effectively utilized. On the contrary, if the wasted load value LF is high, the efficiency adjustment factor XY will decrease, thereby reducing the entire power efficiency value DX, reflecting the low efficiency of the system equipment. By observing the value of the efficiency adjustment factor XY, we can quickly identify the problems in the energy utilization of the system equipment, and if the efficiency adjustment factor XY is low, it means that there is a lot of load waste, and measures need to be taken to optimize the operation mode of the system or equipment, reduce waste, and improve energy utilization efficiency.

[0028] The power efficiency value DX output in this algorithm unit is a single numerical indicator that can intuitively reflect the power efficiency level of the system, making it easy for users to quickly understand the current power consumption status. In the actual operation of the system, the power efficiency evaluation unit comprehensively considers the total power consumption value ZD, the hourly average power value PG, the current peak power value DF, and the ratio of the wasted load value LF to the total load value ZLF, so as to more comprehensively evaluate the power efficiency. By calculating the power efficiency value DX, the reasons for low power efficiency can be identified, including excessive wasted load and large peak power fluctuations, thereby providing guidance for formulating energy-saving measures and optimizing power consumption strategies.

[0029] See also Figures 1 to 3 , the calculation formula of the adjusted electricity cost estimation unit is as follows: CG=YD*[DX+(ZD-YD*DX) / (YD*DX avg )]; DX avg =(DX 1 +DX 2 +DX 3 +......+DX n ) / n; in: CG is the estimated value of electricity cost; YD is the estimated electricity cost value; DX avg is the average power efficiency value; n is the total value, n represents DX 1 +DX 2 +DX 3+......+DX n The total number of calculated parameters in the DX 1 +DX 2 +DX 3 +......+DX n Reflects DX 1 To DX n The sum of the power efficiency values ​​DX for each time.

[0030] In this embodiment, the algorithm unit first calculates the YD*DX part to represent the estimated electricity cost under the current electricity efficiency value DX. The difference between the total power consumption value ZD and YD*DX reflects the difference in electricity cost between the current efficiency and the average efficiency. avg This part of the calculation is expressed in the average power efficiency value DX avg To calculate the estimated electricity cost under the above electricity cost difference, divide it by YD*DX avg , that is, standardize the deviation to the estimated electricity fee scale under the average efficiency. The purpose of this is to eliminate the influence of the estimated electricity fee value YD itself on the deviation evaluation, so that the efficiency deviation under different estimated electricity fee levels is comparable. Finally, add this standardized deviation to the electricity efficiency value DX. This step is actually to fine-tune the electricity fee corresponding to the total electricity consumption according to the deviation between the current efficiency and the average efficiency. In this algorithm unit, from the basic data collection of the unit that provides and reflects the power consumption, to the power efficiency evaluation unit in the actual operation of the system, to the cost estimation of the adjusted power cost estimation unit, these three algorithm units constitute a logically progressive analysis process. Each step is based on the results of the previous step, and together they constitute a comprehensive and in-depth analysis of power consumption behavior. The adjusted electricity cost estimation unit not only takes into account the estimated electricity cost value YD, but also introduces the current electricity efficiency value DX and the deviation between the total electricity consumption value ZD and the estimated electricity cost and efficiency index, thereby more accurately reflecting the electricity cost under current conditions; The calculation of the estimated value of electricity cost CG takes into account the impact of changes in electricity efficiency on costs, so that the estimated result can be dynamically adjusted as the electricity efficiency increases or decreases, which is more in line with the actual situation; By calculating the estimated value of electricity cost CG, enterprises and individuals can more clearly understand the changing trend of electricity cost, and provide strong decision-making support for formulating reasonable electricity budgets and optimizing electricity structure.

[0031] See also Figures 1 to 3 , based on the adjusted electricity cost, the average electricity efficiency value DX of the unit is estimated avg The analysis and adjustment of the output electricity cost estimate CG are as follows: S1. If the result value of the power efficiency value DX is greater than the average power efficiency value DX avg , and the result value of the electricity cost estimation value CG decreases, which indicates that the efficiency of the power system is improved and cost savings are achieved. The analysis concludes that the energy-saving measures are implemented effectively, and equipment upgrades and management are optimized; S2. If the result value of the power efficiency value DX is less than the average power efficiency value DX avg If the result value of the electricity cost estimation value CG increases, it means that the efficiency of the power system has decreased, resulting in increased costs. The cause should be found immediately and measures should be taken to improve efficiency, including strengthening equipment maintenance, optimizing load distribution and introducing energy-saving technologies.

[0032] In this embodiment, the algorithm unit is based on the average power efficiency value DX avg And a comprehensive analysis of the output electricity cost estimate CG; Specifically, the adjusted electricity cost estimation unit directly associates the electricity efficiency value DX with the cost by calculating the electricity cost estimation value CG. When the total electricity consumption value ZD calculated by the power consumption unit is provided and reflected, the change will directly affect the calculation of the electricity efficiency value DX, and then be reflected in the electricity cost estimation value CG through the adjusted electricity cost estimation unit. If the increase in the total electricity consumption value ZD leads to a significant increase in the electricity cost estimation value CG, it means that the current electricity consumption behavior is not efficient enough and there is a waste of cost. This feedback mechanism prompts managers or users to review and adjust electricity consumption behavior to reduce unnecessary electricity consumption and reduce electricity costs, thereby promoting the continuous optimization of electricity consumption behavior; Through the feedback of the adjusted electricity cost estimation unit, users can clearly see the impact of different electricity consumption behaviors on costs. When the increase in the total electricity consumption value ZD does not bring corresponding economic benefits, that is, the electricity cost estimation value CG rises, this intuitive comparison will enhance users' cost awareness and prompt them to pay more attention to the implementation of energy-saving measures. At the same time, this feedback mechanism is also helpful to cultivate users' energy-saving awareness, form good habits of saving electricity, and enhance cost awareness and energy-saving awareness; The adjusted electricity cost estimation unit provides and reflects the circular feedback of the power consumption unit, which not only reveals the problems of the current electricity consumption behavior, but also provides direction for the implementation and optimization of energy-saving measures. For example, when it is found that the increase in the total electricity consumption value ZD leads to a significant increase in the electricity cost estimation value CG, managers can formulate energy-saving measures according to specific circumstances, optimize load distribution, introduce high-efficiency energy-saving equipment, and strengthen equipment maintenance. By implementing these measures and observing the changes in the electricity cost estimation value CG, the effectiveness of the measures can be further verified and optimized, so as to achieve the purpose of guiding the implementation and optimization of energy-saving measures. The circular feedback mechanism of the adjusted electricity cost estimation unit for providing and reflecting the power consumption unit requires that electricity management must be more refined. Managers need to regularly collect and analyze electricity data, calculate the total electricity consumption value ZD by providing and reflecting the power consumption unit, and then evaluate the electricity efficiency and cost-effectiveness through the power efficiency evaluation unit and the adjusted electricity cost estimation unit in the actual operation of the system. This refined management method helps to timely discover and solve problems in the power consumption process, improve the efficiency and level of power management, and thus promote the refinement of power management; The adjusted electricity cost estimation unit provides and reflects the circular feedback mechanism of the electricity consumption unit, which provides strong support for the decision-making and strategic planning of enterprises. Through long-term monitoring and analysis of electricity consumption data, enterprises can understand the laws and characteristics of their own electricity consumption behavior, and provide a scientific basis for strategic decisions on setting energy conservation and emission reduction targets, optimizing energy structure, and improving energy utilization efficiency. At the same time, this feedback mechanism also helps enterprises evaluate the implementation effects of different energy-saving measures and provide guidance for future energy-saving work; In summary, in the specific implementation process, by calculating the total power consumption and reflecting the power consumption unit, the power efficiency evaluation unit in the actual operation of the system for evaluating the power efficiency, and the adjusted power cost estimation unit for estimating the power cost, the current power consumption situation can be fully understood. At the same time, these calculation results can also be used as feedback information to guide the subsequent optimization of power consumption behavior and formulation of energy-saving measures.

[0033] For example 2, please refer to Figures 1 to 3 The electricity cost estimation value CG generates the evaluation criteria of decrease and increase in the above analysis and adjustment, which is derived from the electricity cost estimation value CG output by the electricity cost estimation unit after the last round of adjustment in the previous cycle analysis; After providing and reflecting the power consumption unit, the power efficiency evaluation unit in the actual operation of the system and the adjusted power cost estimation unit are calculated in sequence, and the power cost estimation value CG of the expected standard is reached. This complete cycle feedback is one round; Average power efficiency value DX avg That is, the average value of the sum of the power efficiency values ​​DX in each round, and the current average power efficiency value DX avg The calculations all refer to all electricity efficiency values ​​DX from the previous round.

[0034] In this embodiment, for the power consumption monitoring and analysis method, each round of the cycle process of providing and reflecting the power consumption unit, the power consumption efficiency evaluation unit in the actual operation of the system and the adjusted power consumption cost estimation unit for cyclic calculation can achieve the purpose of power consumption monitoring and analysis to the prediction target, and in each round of analysis process, after n cycles, n power consumption efficiency values ​​DX and power consumption cost estimation values ​​CG will be output, and when the next round of introduction calculation is performed, the n power consumption efficiency values ​​DX, after (DX 1 +DX 2 +DX 3 +......+DX n ) / n, the average power efficiency value DX after adjustment will be output as the input value of the power cost estimation unit. avg When analyzing and adjusting this algorithm unit, the electricity cost estimation value CG output by the electricity cost estimation unit after the last round of adjustment in the previous cycle analysis will become one of the evaluation criteria for the analysis and adjustment.

[0035] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for monitoring and analyzing electricity consumption, characterized in that: The specific monitoring and analysis steps are as follows: Use the data acquisition module to collect the currently monitored power consumption data; Using the data comprehensive processing module, the electricity consumption data is substituted into the calculation, and the total electricity consumption value ZD, the electricity efficiency value DX and the electricity cost estimation value CG are output; The data comprehensive processing module includes a unit for providing and reflecting power consumption, a unit for evaluating the power efficiency in the actual operation of the system, and a unit for estimating the adjusted power cost; Based on the electricity cost estimation value CG, and using the result analysis and feedback module, analyze the monitored electricity usage, compile an electricity monitoring analysis report, and adjust the electricity usage strategy according to the analysis report.

2. The method for monitoring and analyzing electricity consumption according to claim 1, characterized in that: The equipment used by the acquisition module includes a smart meter and a data collector; The equipment used by the data comprehensive processing module includes a server and a computer; The equipment used in the result analysis and feedback module includes analysis software.

3. The method for monitoring and analyzing electricity consumption according to claim 2, characterized in that: The calculation formula provided and reflected in the power consumption unit is as follows: ZD=JYD+(DF-SF) 2 / 2; JYD=PG*SD; in: ZD is the total power consumption value; JYD is the basic electricity consumption value; PG is the average power value per hour, SD is the value per time unit; DF is the current peak power value; SF is the last recorded peak power value. SF represents the current peak power value that was last provided and reflected in the calculation of the power consumption unit.

4. The method for monitoring and analyzing electricity consumption according to claim 3, characterized in that: The calculation formula of the power efficiency evaluation unit in the actual operation of the system is as follows: ； XY = (1 + (LF / ZLF)); in: DX is the power efficiency value; XY is the efficiency adjustment factor, which is used to adjust the basic efficiency index to reflect the efficiency loss of the system in actual operation; LF is the wasted load value; ZLF is the total load value.

5. The method for monitoring and analyzing electricity consumption according to claim 4, characterized in that: The calculation formula of the adjusted electricity cost estimation unit is as follows: CG=YD*[DX+(ZD-YD*DX) / (YD*DX avg )]; DX avg =(DX1+DX2+DX3+......+DX n ) / n; in: CG is the estimated value of electricity cost; YD is the estimated electricity cost value; DX avg is the average power efficiency value; n is the total value, n represents DX1+DX2+DX3+......+DX n The total number of calculated parameters in the DX1+DX2+DX3+......+DX n Reflects DX1 to DX n The sum of the power efficiency values ​​DX for each time.

6. The method for monitoring and analyzing electricity consumption according to claim 5, characterized in that: The average power efficiency value DX of the unit is estimated based on the adjusted power cost avg The analysis and adjustment of the output electricity cost estimate CG are as follows: S1. If the result value of the power efficiency value DX is greater than the average power efficiency value DX avg , and the result value of the electricity cost estimation value CG decreases, which indicates that the efficiency of the power system is improved and cost savings are achieved. The analysis concludes that the energy-saving measures are implemented effectively, and equipment upgrades and management are optimized; S2. If the result value of the power efficiency value DX is less than the average power efficiency value DX avg If the result value of the electricity cost estimation value CG increases, it means that the efficiency of the power system has decreased, resulting in increased costs. The cause should be found immediately and measures should be taken to improve efficiency, including strengthening equipment maintenance, optimizing load distribution and introducing energy-saving technologies.

7. The method for monitoring and analyzing electricity consumption according to claim 6, characterized in that: The electricity cost estimation value CG generates a judgment standard of decrease and increase in the above analysis and adjustment, which is derived from the electricity cost estimation value CG output by the electricity cost estimation unit after the last round of adjustment in the previous cycle analysis; After the power consumption unit is provided and reflected, the power efficiency evaluation unit in the actual operation of the system and the adjusted power cost estimation unit calculate in sequence and cycle, and the complete cycle feedback of the power cost estimation value CG that reaches the expected standard is one round.

8. The method for monitoring and analyzing electricity consumption according to claim 7, characterized in that: The average power efficiency value DX avg That is, the average value of the sum of the power efficiency values ​​DX in each round, and the current average power efficiency value DX avg The calculations all refer to all electricity efficiency values ​​DX from the previous round.

Images