Energy management optimization method and system based on intelligent monitoring display

Abstract

The invention relates to the technical field of intelligent monitoring, and particularly discloses an energy management optimization method and system based on an intelligent monitoring displayer, and the method comprises the steps: dividing an air conditioner energy consumption monitoring period, precisely obtaining the power consumption of each time period, marking a high-energy-consumption time period, calculating a high-energy-consumption time ratio, a power ratio and an energy consumption analysis value, generating an energy consumption analysis signal when the energy consumption analysis value exceeds a threshold value, calculating a temperature deviation ratio between a set temperature and a suitable temperature range based on the energy consumption analysis signal to obtain a temperature energy consumption ratio, a variance, a mean value ratio and an energy consumption influence degree, generating a regulation and control signal when the energy consumption influence degree exceeds a corresponding threshold value, and constructing a temperature deviation ratio-high energy consumption power ratio scatter diagram; according to the intelligent monitoring display, the temperature regulation and control quantity is displayed in real time through the intelligent monitoring display, so that a worker can regulate and control the temperature of the air conditioning unit according to the displayed temperature regulation and control quantity, and optimization of energy management is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring, and specifically relates to an energy management optimization method and system based on an intelligent monitoring display. Background Art

[0002] Intelligent monitoring uses advanced technologies such as modern information technology, the Internet of Things, and big data to monitor, analyze, and control the operating status of the energy system in real time. This monitoring method can accurately grasp the real-time usage of energy, including key parameters such as the flow, pressure, and temperature of energy, so as to achieve a comprehensive control of the energy system. For example, the use of air-conditioning units is essential in large commercial supermarkets or large buildings, but there is a lack of effective monitoring and adjustment of the energy consumption of air-conditioning units, ignoring the in-depth analysis of the relationship between energy consumption and multiple factors such as temperature and time, and not studying in detail the change law of air-conditioning energy consumption under different temperature settings and the difference in energy consumption at different time periods.

[0003] Therefore, the present invention provides an energy management optimization method and system based on an intelligent monitoring display. Summary of the Invention

[0004] The purpose of the present invention is to provide an energy management optimization method and system based on an intelligent monitoring display to solve the problems in the above background.

[0005] The purpose of the present invention can be achieved through the following technical solutions: An energy management optimization method based on an intelligent monitoring display includes: Dividing the monitoring period of air-conditioning energy consumption into multiple monitoring time periods, and obtaining the power consumption of the air-conditioning unit in each time period; Marking the time periods with air-conditioning power consumption higher than the power consumption reference value as high-energy consumption time periods, calculating the ratio of high-energy consumption time length to the time length of the monitoring period to obtain the high-energy consumption time ratio Gn; calculating the ratio of high-energy consumption electricity to the power consumption reference value for the high-energy consumption time to obtain the high-energy consumption electricity ratio hd; Calculating an energy consumption analysis value Fx based on the high-energy consumption time ratio Gn and the high-energy consumption electricity ratio Hd. If the energy consumption analysis value Fx ≥ the energy consumption analysis threshold Fxz, generating an energy consumption analysis signal; Based on the energy consumption analysis signal, calculating the temperature deviation ratio by comparing the set temperature of the air-conditioning unit with the suitable temperature range; If the monitoring time period of the temperature deviation ratio coincides with the high-energy consumption time period, processing the temperature deviation ratio and the high-energy consumption electricity ratio for all coincident time periods to obtain the temperature-energy consumption ratio, and calculating the variance Fc of the temperature-energy consumption ratio within the monitoring period; Calculating the ratio Ch of the mean value of the coincident time periods to the number of monitoring time periods in the monitoring period; Calculate the energy consumption impact degree Yx based on the variance Fc of the temperature-energy consumption ratio and the mean ratio Ch of the overlapping periods. If the energy consumption impact degree Yx ≥ the energy consumption impact degree threshold Yxz, generate an energy consumption regulation signal. Based on the energy consumption regulation signal, construct a scatter plot of the temperature deviation ratio - high energy consumption electricity ratio, divide the regulation circles according to the distance between the scatter points, perform numerical calculation on the temperature deviation ratio within the regulation circles to obtain the temperature regulation amount, and regulate the temperature of the air conditioner unit based on the temperature regulation amount.

[0006] As a further technical solution of the present invention: The acquisition method of the energy consumption analysis value Fx is as follows: Calculate the energy consumption analysis value Fx based on the high energy consumption time ratio Gn and the high energy consumption electricity ratio Hd through a weighted formula.

[0007] As a further technical solution of the present invention: The acquisition method of the high energy consumption time ratio Gn is as follows: Based on the air conditioner power consumption of each monitoring period in the monitoring period, mark the monitoring periods with air conditioner power consumption higher than the power consumption reference value as high energy consumption periods; Obtain the time length of the high energy consumption periods within the monitoring period, and the time length of the monitoring period; Perform a ratio process on the time length of the high energy consumption and the time length of the monitoring period to obtain the high energy consumption time ratio, and mark the high energy consumption time ratio as Gn.

[0008] As a further technical solution of the present invention: The acquisition method of the average value Hd of the high energy consumption electricity ratio is as follows: Take the difference between the air conditioner power consumption in the high energy consumption period and the power consumption reference value and perform an absolute value process to obtain the high energy consumption power difference; Perform a ratio process on the high energy consumption power difference and the power consumption reference value to obtain the high energy consumption electricity ratio; Sum up and average all the high energy consumption electricity ratios within the monitoring period to obtain the average value of the high energy consumption electricity ratio, and mark the average value of the high energy consumption electricity ratio as Hd.

[0009] As a further technical solution of the present invention: The acquisition method of the energy consumption impact degree Yx is as follows: Calculate the energy consumption impact degree Yx based on the variance Fc of the temperature-energy consumption ratio and the mean ratio Ch of the overlapping periods; Through the formula: , calculate to obtain the energy consumption impact degree Yx, where ln(b1*Fc + b2*Ch) is the logarithmic function with base e, and b1, b2 are preset proportional coefficients.

[0010] As a further technical solution of the present invention: The acquisition method of the variance Fc of the temperature-energy consumption ratio is as follows: Obtain the working mode of the air conditioner unit in the monitoring period and the set temperature corresponding to the air conditioner unit; Take the difference between the set temperature of the air conditioner and the two end values of the suitable temperature range, and take the absolute value. Compare the two temperature differences obtained, and select the smallest temperature difference to obtain the set temperature difference; Perform a ratio process on the set temperature difference and the length of the suitable temperature range to obtain the temperature deviation ratio; Compare the monitoring period of the temperature deviation ratio with the high-energy consumption period; If the monitoring period of the temperature deviation ratio coincides with the high-energy consumption period, mark the monitoring period as the coincidence period; If the monitoring period of the temperature deviation ratio does not coincide with the high-energy consumption period, no processing is performed; Obtain the temperature deviation ratio and high-energy consumption electricity ratio of the coincidence period. Perform a ratio process on the temperature deviation ratio and high-energy consumption electricity ratio of the coincidence period to obtain the temperature-energy consumption ratio; Put the temperature-energy consumption ratios of all coincidence periods within the monitoring period into the temperature-energy consumption ratio data group, calculate the variance of the temperature-energy consumption ratios in the temperature-energy consumption ratio data group, and mark the variance of the temperature-energy consumption ratio as Fc.

[0011] As a further technical solution of the present invention: The obtaining method of the coincidence period mean ratio Ch is as follows: Obtain the number of coincidence periods within the monitoring period, perform a summation and averaging process on the number of coincidence periods to obtain the coincidence period mean; Perform a ratio process on the coincidence period mean and the number of monitoring periods of the monitoring period to obtain the coincidence period mean ratio, and mark the coincidence period mean ratio as Ch.

[0012] As a further technical solution of the present invention: The obtaining method of the temperature regulation amount is as follows: Obtain the maximum and minimum values of the regulation ratio within the regulation circle to obtain the regulation ratio range; If the high-energy consumption electricity ratio of the air conditioner unit is within the regulation ratio range, obtain the minimum value of the temperature deviation ratio among the coordinate points within the regulation circle corresponding to the regulation ratio range; Perform a product process on the minimum value of the temperature deviation ratio and the set temperature of the air conditioner unit to obtain the temperature regulation amount; Regulate the temperature of the air conditioner unit based on the temperature regulation amount.

[0013] As a further technical solution of the present invention: The obtaining method of the regulation circle is as follows: Based on the energy consumption regulation signal, obtain the temperature deviation ratio and high-energy consumption electricity ratio at the same moment within the coincidence period, and use the temperature deviation ratio and high-energy consumption electricity ratio at the same moment as a data pair; Based on the data pair, in a two-dimensional rectangular coordinate system, with the temperature deviation ratio as the X-axis and the high-energy consumption electricity ratio as the Y-axis, and using the data pair as the coordinate point, construct a scatter plot of the temperature deviation ratio - high-energy consumption electricity ratio; In a two-dimensional rectangular coordinate system, the distance between each coordinate point is calculated through the Euclidean formula to obtain the coordinate interval. Exemplarily, in a two-dimensional rectangular coordinate system, if there are two coordinates A(0.2, 0.5) and B(0.5, 2.0), through the Euclidean distance formula: The coordinate interval between points A and B is obtained as 0.583. The coordinate interval is compared with the coordinate interval threshold, and the coordinate points with a coordinate interval lower than the coordinate interval threshold are classified into a regulation circle.

[0014] As a further technical solution of the present invention: an energy management optimization system based on an intelligent monitoring display, including an energy consumption acquisition module, an energy consumption analysis module, a regulation analysis module, and a regulation calculation module, and the energy consumption acquisition module, the energy consumption analysis module, the regulation analysis module, and the regulation calculation module are integrated in the intelligent monitoring display: Energy consumption acquisition module: Divide the monitoring period of air conditioner energy consumption into multiple monitoring time periods, and obtain the power consumption of the air conditioner unit in each time period. Energy consumption analysis module: Based on the air conditioner power consumption, mark the time periods with air conditioner power consumption higher than the power consumption reference value as high energy consumption time periods, calculate the ratio of the high energy consumption time length to the time length of the monitoring period to obtain the high energy consumption time ratio Gn, calculate the ratio of the air conditioner power consumption in the high energy consumption time to the power consumption reference value to obtain the high energy consumption power ratio hd, and calculate the energy consumption analysis value Fx based on the high energy consumption time ratio Gn and the high energy consumption power ratio Hd. If the energy consumption analysis value Fx ≥ the energy consumption analysis threshold Fxz, generate an energy consumption analysis signal. Regulation analysis module: Based on the energy consumption analysis signal, obtain the set temperature of the air conditioner unit, calculate the temperature deviation ratio by comparing the set temperature with the suitable temperature range. If the monitoring time period of the temperature deviation ratio coincides with the high energy consumption time period, calculate the temperature deviation ratio and the high energy consumption power ratio of all coincident time periods to obtain the temperature-energy consumption ratio, calculate the variance Fc of the temperature-energy consumption ratio within the monitoring period, calculate the ratio Ch of the mean value of the coincident time periods to the number of monitoring time periods in the monitoring period, and calculate the energy consumption impact degree Yx based on the variance Fc of the temperature-energy consumption ratio and the ratio Ch of the mean value of the coincident time periods. If the energy consumption impact degree Yx ≥ the energy consumption impact degree threshold Yxz, generate an energy consumption regulation signal. Regulation calculation module: Based on the energy consumption regulation signal, construct a scatter plot of the temperature deviation ratio - high energy consumption power ratio, divide the regulation circle according to the distance between the scatter points, perform numerical calculation on the temperature deviation ratio within the regulation circle and the set temperature of the air conditioner unit to obtain the temperature regulation amount, and regulate the air conditioner based on the temperature regulation amount.

[0015] The beneficial effects of the present invention: By dividing the monitoring period according to the time of personnel activities and obtaining detailed power consumption data, calculating high-energy consumption related indicators and energy consumption analysis values, and constructing a relationship model between temperature and energy consumption, it is possible to accurately identify abnormal energy consumption periods and temperature influencing factors, provide a scientific basis for regulation, effectively avoid the blindness and singularity of traditional control methods, and help significantly reduce energy waste; The intelligent regulation strategy has remarkable effects. Based on the scatter plot, the regulation circle is divided to calculate the temperature regulation amount, realizing precise temperature control. It can be flexibly adjusted according to the actual situation, ensuring the continuous optimization of the energy-saving effect while meeting personalized needs, effectively improving the comfort of personnel, creating a high-quality indoor environment for various places such as offices and living, and reducing the operation cost at the same time. Brief Description of the Drawings

[0016] The present invention will be further described below with reference to the accompanying drawings.

[0017] Figure 1 It is a flowchart of an energy management optimization method based on an intelligent monitoring display of the present invention; Figure 2 It is a module diagram of an energy management optimization system based on an intelligent monitoring display in the present invention. Detailed Embodiments

[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] This application is based on an intelligent monitoring display, which includes an energy consumption acquisition module, an energy consumption analysis module, a regulation analysis module, and a regulation calculation module; And the 5G communication technology is directly applied to the intelligent monitoring display to achieve ultra-high-speed and low-latency wireless data transmission, ensuring the real-time transmission and interaction of remote high-definition video streams, improving the monitoring efficiency and response speed; by integrating the PoE technology, the display can directly obtain power supply from the Ethernet cable, eliminating the need for additional power wiring, reducing the complexity of engineering deployment, improving the installation flexibility, and at the same time reducing potential safety hazards; the organic combination of 5G communication and PoE power supply technology realizes the high integration and intelligence of the monitoring system, reduces the number of components and system complexity, and improves the reliability and stability of the overall system.

[0020] Applicable to a variety of complex scenarios, especially places that require rapid deployment or renovation and upgrading, such as large buildings, smart cities, industrial automation, etc., greatly shortening the construction period and reducing costs. Through the large bandwidth and low latency characteristics provided by the 5G network, high-quality monitoring information is transmitted in real time, which has a significant improvement effect on security warning and emergency response. That is, this integrated intelligent monitoring display is convenient for large-scale networking and system expansion, meeting the development needs of the future Internet of Things and smart cities. Embodiment

[0021] Please refer to Figure 1 As shown, this energy management optimization method relies on the energy management of large supermarkets or buildings, because large supermarkets or buildings usually require greater power supply or heating energy consumption. Therefore, it is very important how to optimize energy efficiency and intelligent energy consumption management. Based on this, an energy management optimization method based on an intelligent monitoring display is proposed. The specific method includes: Step 1: Divide the monitoring period of air-conditioning energy consumption into multiple monitoring time periods, and obtain the power consumption of each air-conditioning unit in each time period; It should be noted that the power consumption of the air conditioner is obtained through an electric energy meter, so as to obtain the energy consumption data of the air-conditioning unit; Step 2: Based on the air-conditioning power consumption, mark the time periods with air-conditioning power consumption higher than the power consumption reference value as high-energy consumption time periods, and process the ratio of the length of the high-energy consumption time to the length of the monitoring period to obtain the high-energy consumption time ratio Gn; Calculate the difference between the air-conditioning power consumption during the high-energy consumption time and the power consumption reference value to obtain the high-energy consumption power ratio hd; Calculate the energy consumption analysis value Fx based on the high-energy consumption time ratio Gn and the high-energy consumption power ratio Hd. If the energy consumption analysis value Fx ≥ the energy consumption analysis threshold Fxz, generate an energy consumption analysis signal; Based on the air-conditioning power consumption of each monitoring time period in the monitoring period, compare the air-conditioning power consumption of each monitoring time period with the power consumption reference value; Mark the monitoring time periods with air-conditioning power consumption higher than the power consumption reference value as high-energy consumption time periods; Mark the monitoring time periods with air-conditioning power consumption lower than the power consumption reference value as low-energy consumption time periods; Obtain the length of the high-energy consumption time period within the monitoring period and the length of the monitoring period; Process the ratio of the length of the high-energy consumption time to the length of the monitoring period to obtain the high-energy consumption time ratio, and mark the high-energy consumption time ratio as Gn; The length of the high-energy consumption time is the sum of the durations of all high-energy consumption time periods within the monitoring period; Take the absolute value of the difference between the air-conditioning power consumption during the high-energy consumption time period and the power consumption reference value to obtain the high-energy consumption power difference; The high - energy - consumption power difference is divided by the reference value of power consumption to obtain the high - energy - consumption power ratio; All the high - energy - consumption power ratios within the monitoring period are summed and averaged to obtain the average value of the high - energy - consumption power ratio, and the average value of the high - energy - consumption power ratio is marked as Hd; It should be noted that the reference value of power consumption is set by professional technical personnel in this field based on experience; Based on the high - energy - consumption time ratio Gn and the high - energy - consumption power ratio Hd, the energy - consumption analysis value Fx is calculated; Through the formula: , the energy - consumption analysis value Fx is calculated, where a = 0.57 and b = 0.43; The energy - consumption analysis value Fx is compared with the energy - consumption analysis threshold Fxz; If the energy - consumption analysis value Fx ≥ the energy - consumption analysis threshold Fxz, it indicates that the energy consumption of the air - conditioner unit in the current monitoring period exceeds the expectation, and an energy - consumption analysis signal is generated, and it is necessary to further analyze the air - conditioner energy - consumption data; If the energy - consumption analysis value Fx < the energy - consumption analysis threshold Fxz, it indicates that the energy consumption of the air - conditioner unit in the current monitoring period is within the expected range, and the change of the energy - consumption analysis value Fx of the air - conditioner is continuously monitored; The technical solution of this embodiment is as follows: Analyze the usage status of the air - conditioner unit in the target building, divide the monitoring period of the air - conditioner energy consumption into multiple time periods, obtain the power consumption of the air - conditioner unit in each time period, based on the air - conditioner power consumption, mark the time period with the air - conditioner power consumption higher than the reference value of power consumption as the high - energy - consumption time period, divide the length of the high - energy - consumption time by the length of the monitoring period to obtain the high - energy - consumption time ratio Gn, calculate the air - conditioner power consumption in the high - energy - consumption time and the reference value of power consumption to obtain the high - energy - consumption power ratio hd, based on the high - energy - consumption time ratio Gn and the high - energy - consumption power ratio Hd, calculate the energy - consumption analysis value Fx, if the energy - consumption analysis value Fx ≥ the energy - consumption analysis threshold Fxz, generate an energy - consumption analysis signal. Embodiment

[0022] The present invention is an energy - management optimization method based on an intelligent monitoring display, and further includes: Step 3: Based on the energy - consumption analysis signal, obtain the set temperature of the air - conditioner unit, calculate the set temperature and the suitable temperature range to obtain the temperature deviation ratio. If the monitoring time period of the temperature deviation ratio coincides with the high - energy - consumption time period, calculate the temperature - energy - consumption ratio by calculating the temperature deviation ratio and the high - energy - consumption power ratio of all coincident time periods, calculate the variance Fc of the temperature - energy - consumption ratio within the monitoring period, calculate the ratio Ch of the average value of the coincident time periods to the number of monitoring time periods in the monitoring period, based on the variance Fc of the temperature - energy - consumption ratio and the ratio Ch of the average value of the coincident time periods, calculate the energy - consumption influence degree Yx. If the energy - consumption influence degree Yx ≥ the energy - consumption influence degree threshold Yxz, generate an energy - consumption regulation signal; Obtain the working mode of the air conditioner unit and the set temperature corresponding to the air conditioner unit during the monitoring period; Take the absolute value of the difference between the air conditioner set temperature and the two end values of the suitable temperature range respectively, compare the two obtained temperature differences, and select the smallest temperature difference to obtain the set temperature difference; It should be noted that the suitable temperature range of the air conditioner unit refers to the temperature range described in the "Indoor Air Quality Standard" GB / T18883-2002 document, that is, the indoor temperature for cooling is 22-28°C, and the indoor temperature for heating is in the range of 16-24°C; Perform a ratio process on the set temperature difference and the length of the suitable temperature range to obtain the temperature deviation ratio; Compare the monitoring period of the temperature deviation ratio with the high energy consumption period; If the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, mark the monitoring period as the coincidence period; If the monitoring period of the temperature deviation ratio does not coincide with the high energy consumption period, do not make any treatment; Obtain the temperature deviation ratio and high energy consumption electricity ratio of the coincidence period, perform a ratio process on the temperature deviation ratio and high energy consumption electricity ratio of the coincidence period to obtain the temperature energy consumption ratio; Put the temperature energy consumption ratios of all coincidence periods within the monitoring period into the temperature energy consumption ratio data group, calculate the variance of the temperature energy consumption ratios in the temperature energy consumption ratio data group, and mark the temperature energy consumption ratio variance as Fc; Obtain the number of coincidence periods within the monitoring period, perform a sum and average process on the number of coincidence periods to obtain the coincidence period average value; Perform a ratio process on the coincidence period average value and the number of monitoring periods of the monitoring period to obtain the coincidence period average ratio, and mark the coincidence period average ratio as Ch; Calculate the energy consumption influence degree Yx based on the temperature energy consumption ratio variance Fc and the coincidence period average ratio Ch; Through the formula: , calculate to obtain the energy consumption influence degree Yx, where ln(b1*Fc + b2*Ch) is the logarithmic function with base e, b1 = 0.787, b2 = 0.213; Compare the energy consumption influence degree Yx with the energy consumption influence degree threshold Yxz; If the energy consumption influence degree Yx ≥ the energy consumption influence degree threshold Yxz, it indicates that during the current monitoring period, the air conditioner set temperature has a greater impact on the air conditioner energy consumption. Generate an energy consumption regulation signal to regulate the energy consumption of the air conditioner unit to achieve the purpose of energy conservation; If the energy consumption influence degree Yx < the energy consumption influence degree threshold Yxz, it indicates that during the current monitoring period, the impact of the air conditioner set temperature on the air conditioner energy consumption is within the expected range, and it is still necessary to continuously monitor the change of the energy consumption influence degree Yx; Step 4: Based on the energy consumption regulation signal, construct a scatter plot of temperature deviation ratio - high - energy - consumption electricity ratio. Divide the regulation circles according to the distances between the scatter points, perform numerical calculation on the temperature deviation ratios within the regulation circles to obtain the temperature regulation amount, and regulate the temperature of the air - conditioning unit based on the temperature regulation amount; Based on the energy consumption regulation signal, obtain the temperature deviation ratio and high - energy - consumption electricity ratio at the same moment during the overlapping period, and use the temperature deviation ratio and high - energy - consumption electricity ratio at the same moment as a data pair; Exemplarily, the temperature deviation ratio at 18:00 is 0.85 and the high - energy - consumption electricity ratio is 0.78, and the constructed data pair is (0.85, 0.78); Based on the data pairs, in a two - dimensional rectangular coordinate system, with the temperature deviation ratio as the X - axis and the high - energy - consumption electricity ratio as the Y - axis, and using the data pairs as coordinate points, construct a scatter plot of temperature deviation ratio - high - energy - consumption electricity ratio; In the two - dimensional rectangular coordinate system, calculate the distance between each coordinate point through the Euclidean formula to obtain the coordinate distance; Exemplarily, if there are two coordinates A(0.2, 0.5) and B(0.5, 2.0) in the two - dimensional rectangular coordinate system, through the Euclidean distance formula: Obtain the coordinate distance between points A and B as 0.583; Compare the coordinate distance with the coordinate distance threshold, and divide the coordinate points with a coordinate distance lower than the coordinate distance threshold into one regulation circle; It should be noted that there are multiple regulation circles in the scatter plot of temperature deviation ratio - high - energy - consumption electricity ratio, and the scatter threshold is set by those skilled in the art based on experience; Obtain the maximum and minimum values of the regulation ratio within the regulation circle to obtain the regulation ratio range; If the high - energy - consumption electricity ratio of the air - conditioning unit is within the regulation ratio range, obtain the minimum value of the temperature deviation ratio within the regulation circle corresponding to the regulation ratio range; Multiply the minimum value of the temperature deviation ratio by the set temperature of the air - conditioning unit to obtain the temperature regulation amount; Regulate the temperature of the air - conditioning unit based on the temperature regulation amount; Exemplarily, if the temperature regulation amount is 2.5, if the air - conditioning unit is currently in the cooling mode, raise the temperature of the air - conditioning unit by 2.5°C, and if the air - conditioning unit is in the heating mode, lower the temperature of the air - conditioning unit by 2.5°C; The monitoring display shows the temperature regulation amount in real - time so that the staff can regulate the temperature of the air - conditioning unit according to the displayed temperature regulation amount.

[0023] The technical solution of this embodiment is as follows: Based on the energy consumption analysis signal, obtain the set temperature of the air conditioner unit, calculate the set temperature and the suitable temperature range to obtain the temperature deviation ratio. If the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, calculate the temperature deviation ratio and the high energy consumption electricity ratio of all coincident periods to obtain the temperature energy consumption ratio. Calculate the variance Fc of the temperature energy consumption ratio within the monitoring period, calculate the ratio Ch of the mean value of the coincident period to the number of monitoring periods in the monitoring period. Based on the temperature energy consumption variance Fc and the ratio Ch of the mean value of the coincident period, calculate the energy consumption influence degree Yx. If the energy consumption influence degree Yx ≥ the energy consumption influence threshold Yxz, generate an energy consumption regulation signal. Based on the energy consumption regulation signal, construct a scatter plot of the temperature deviation ratio - high energy consumption electricity ratio, divide the regulation circle according to the distance between the scatter points, perform numerical calculation on the temperature deviation ratio within the regulation circle to obtain the temperature regulation amount, and regulate the air conditioner based on the temperature regulation amount. Embodiment

[0024] An energy management optimization system based on an intelligent monitoring display includes an energy consumption acquisition module, an energy consumption analysis module, a regulation analysis module, and a regulation calculation module. The energy consumption acquisition module, the energy consumption analysis module, the regulation analysis module, and the regulation calculation module are integrated in the intelligent monitoring display: Energy consumption acquisition module: Divide the monitoring period of the air conditioner energy consumption into multiple monitoring periods, and obtain the power consumption of the air conditioner unit in each period; Energy consumption analysis module: Based on the air conditioner power consumption, mark the period with the air conditioner power consumption higher than the power consumption reference value as the high energy consumption period, process the ratio of the high energy consumption time length to the time length of the monitoring period to obtain the high energy consumption time ratio Gn, calculate the high energy consumption electricity ratio hd by calculating the air conditioner power consumption during the high energy consumption time and the power consumption reference value. Based on the high energy consumption time ratio Gn and the high energy consumption electricity ratio Hd, calculate the energy consumption analysis value Fx. If the energy consumption analysis value Fx ≥ the energy consumption analysis threshold Fxz, generate an energy consumption analysis signal; Regulation analysis module: Based on the energy consumption analysis signal, obtain the set temperature of the air conditioner unit, calculate the set temperature and the suitable temperature range to obtain the temperature deviation ratio. If the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, calculate the temperature deviation ratio and the high energy consumption electricity ratio of all coincident periods to obtain the temperature energy consumption ratio. Calculate the variance Fc of the temperature energy consumption ratio within the monitoring period, calculate the ratio Ch of the mean value of the coincident period to the number of monitoring periods in the monitoring period. Based on the temperature energy consumption variance Fc and the ratio Ch of the mean value of the coincident period, calculate the energy consumption influence degree Yx. If the energy consumption influence degree Yx ≥ the energy consumption influence threshold Yxz, generate an energy consumption regulation signal; Regulation calculation module: Based on the energy consumption regulation signal, construct a scatter plot of temperature deviation ratio - high energy consumption electricity ratio, divide the regulation circles according to the distance between the scatter points, sum up the high energy consumption electricity ratios within the regulation circles and take the average value to obtain the average regulation ratio, sort the average regulation ratios of each regulation circle to form a regulation data group, perform numerical calculation on the temperature deviation ratio within the regulation circle and the set temperature of the air conditioner unit to obtain the temperature regulation amount, and regulate the air conditioner based on the temperature regulation amount; Specifically: The intelligent monitoring display shows the temperature regulation amount in real time, so that the staff can regulate the temperature of the air conditioner unit according to the displayed temperature regulation amount.

[0025] The above has described an embodiment of the present invention in detail, but the described content is only a preferred embodiment of the present invention and cannot be considered as limiting the implementation scope of the present invention. All equivalent changes and improvements made according to the scope of the present invention application should still fall within the coverage scope of the present invention.

Claims

1. An energy management optimization method based on an intelligent monitoring display, characterized in that: The following steps are involved: The monitoring cycle of air conditioning energy consumption is divided into multiple monitoring periods, and the power consumption of the air conditioning unit in each period is obtained; The period when the air conditioner power consumption is higher than the power consumption reference value is marked as a high energy consumption period, and the length of the high energy consumption time is calculated with the length of the monitoring period to obtain the high energy consumption time ratio Gn; the air conditioner power consumption during the high energy consumption time is calculated with the power consumption reference value to obtain the high energy consumption ratio hd; Calculate the energy consumption analysis value Fx based on the high energy consumption time ratio Gn and the high energy consumption power ratio Hd, and if the energy consumption analysis value Fx ≥ the energy consumption analysis threshold Fxz, generate an energy consumption analysis signal; Based on the energy consumption analysis signal, the set temperature of the air-conditioning unit is calculated with the appropriate temperature range to obtain the temperature deviation ratio; If the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, the temperature deviation ratio of all the overlapping periods is processed to obtain the temperature energy consumption ratio, and the temperature energy consumption ratio variance Fc within the monitoring period is calculated; The mean value of the overlap period is calculated with the number of monitoring periods in the monitoring cycle to obtain the mean value ratio of the overlap period Ch; The energy consumption impact Yx is calculated based on the temperature energy consumption ratio variance Fc and the overlap period mean ratio Ch. If the energy consumption impact Yx ≥ the energy consumption impact threshold Yxz, an energy consumption control signal is generated; Based on the energy consumption control signal, a scatter plot of temperature deviation ratio-high energy consumption ratio is constructed, and the control circle is divided according to the distance between the scatter points. The temperature deviation ratio within the control circle is numerically calculated to obtain the temperature control amount. The temperature of the air-conditioning unit is controlled based on the temperature control amount.

2. The energy management optimization method based on intelligent monitoring display according to claim 1 is characterized in that: The energy consumption analysis value Fx is obtained as follows: Based on the high energy consumption time ratio Gn and the high energy consumption electricity ratio Hd, the energy consumption analysis value Fx is calculated through a weighted formula.

3. The energy management optimization method based on intelligent monitoring display according to claim 2 is characterized in that: The high energy consumption time ratio Gn is obtained as follows: Based on the air conditioning power consumption in each monitoring period of the monitoring cycle, the monitoring period in which the air conditioning power consumption is higher than the power consumption reference value is marked as a high energy consumption period; Obtain the duration of the high energy consumption period within the monitoring period and the duration of the monitoring period; The length of the high energy consumption time is ratioed to the length of the monitoring period to obtain the high energy consumption time ratio, which is marked as Gn.

4. The energy management optimization method based on intelligent monitoring display according to claim 2 is characterized in that: The method for obtaining the high energy consumption ratio average value Hd is as follows: The air conditioning power consumption during the high energy consumption period is subtracted from the power consumption reference value and the absolute value is taken to obtain the high energy consumption difference; The high energy consumption difference is processed as a ratio with the power consumption reference value to obtain the high energy consumption ratio; All high energy consumption ratios in the monitoring period are summed and averaged to obtain the average high energy consumption ratio, which is marked as Hd.

5. The energy management optimization method based on intelligent monitoring display according to claim 1 is characterized in that: The energy consumption impact Yx is obtained as follows: Based on the temperature energy consumption ratio variance Fc and the overlap period mean ratio Ch, calculate the energy consumption impact Yx; By formula: , the energy consumption impact Yx is calculated, where ln(b1*Fc+b2*Ch) is a logarithmic function with base e, and b1 and b2 are preset proportional coefficients.

6. The energy management optimization method based on intelligent monitoring display according to claim 5 is characterized in that: The temperature energy consumption ratio variance Fc is obtained as follows: Obtain the working mode of the air-conditioning unit during the monitoring period and the corresponding set temperature of the air-conditioning unit; The air conditioner set temperature is respectively subtracted from the two end points of the suitable temperature range and the absolute value is taken. The two obtained temperature differences are compared and the smallest temperature difference is selected to obtain the set temperature difference. The set temperature difference is processed by ratio with the length of the suitable temperature range to obtain the temperature deviation ratio; comparing the monitoring period of the temperature deviation ratio with the high energy consumption period; If the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, the monitoring period is marked as the coincidence period; If the monitoring period of the temperature deviation ratio does not coincide with the high energy consumption period, no processing will be performed; Obtain the temperature deviation ratio and high energy consumption ratio of the overlap period, perform ratio processing on the temperature deviation ratio and high energy consumption ratio of the overlap period to obtain the temperature energy consumption ratio; The temperature-energy consumption ratios of all overlapping time periods within the monitoring cycle are placed in a temperature-energy consumption ratio data group, the temperature-energy consumption ratio variance in the temperature-energy consumption ratio data group is calculated, and the temperature-energy consumption ratio variance is marked as Fc.

7. The energy management optimization method based on intelligent monitoring display according to claim 5 is characterized in that: The method for obtaining the overlap period mean ratio Ch is as follows: Obtain the number of overlapping time periods within the monitoring period, sum and average the number of overlapping time periods, and obtain the average of the overlapping time periods; The mean value of the overlap period is ratioed to the number of monitoring periods in the monitoring cycle to obtain the mean ratio of the overlap period, which is marked as Ch.

8. The energy management optimization method based on intelligent monitoring display according to claim 1 is characterized in that: The temperature control amount is obtained in the following manner: Obtain the maximum and minimum values ​​of the control ratio within the control circle to obtain the control ratio range; If the high energy consumption ratio of the air-conditioning unit is within the control ratio range, the minimum value of the temperature deviation ratio in the control circle corresponding to the control ratio range is obtained; The minimum value of the temperature deviation ratio is multiplied by the set temperature of the air-conditioning unit to obtain the temperature control amount; The temperature of the air conditioning unit is regulated based on the temperature control amount.

9. The energy management optimization method based on intelligent monitoring display according to claim 8 is characterized in that: The method for obtaining the regulatory circle is: Based on the energy consumption control signal, the temperature deviation ratio and the high energy consumption ratio at the same time in the overlapping period are obtained, and the temperature deviation ratio and the high energy consumption ratio at the same time are taken as a data pair; Based on the data pairs, in a two-dimensional rectangular coordinate system, with the temperature deviation ratio as the X-axis, the high energy consumption ratio as the Y-axis, and the data pairs as coordinate points, a scatter plot of the temperature deviation ratio-high energy consumption ratio is constructed; In a two-dimensional rectangular coordinate system, the distance between each coordinate point is calculated using the Euclidean formula to obtain the coordinate spacing; The coordinate spacing is compared with the coordinate spacing threshold, and the coordinate points whose coordinate spacing is lower than the coordinate spacing threshold are divided into a control circle.

10. An energy management optimization system based on intelligent monitoring display, characterized in that: It includes an energy consumption acquisition module, an energy consumption analysis module, a control analysis module and a control calculation module, wherein the energy consumption acquisition module, the energy consumption analysis module, the control analysis module and the control calculation module are integrated in the intelligent monitoring display; Energy consumption acquisition module: divides the air conditioning energy consumption monitoring cycle into multiple monitoring periods, and obtains the power consumption of the air conditioning unit in each period; Energy consumption analysis module: based on the air-conditioning power consumption, the period when the air-conditioning power consumption is higher than the power consumption reference value is marked as a high energy consumption period, the length of the high energy consumption time is calculated with the length of the monitoring period to obtain the high energy consumption time ratio Gn, the air-conditioning power consumption during the high energy consumption time is calculated with the power consumption reference value to obtain the high energy consumption ratio hd, based on the high energy consumption time ratio Gn and the high energy consumption ratio Hd, the energy consumption analysis value Fx is calculated, if the energy consumption analysis value Fx ≥ the energy consumption analysis threshold Fxz, an energy consumption analysis signal is generated; Control and analysis module: Based on the energy consumption analysis signal, the set temperature of the air-conditioning unit is obtained, and the set temperature and the suitable temperature range are calculated to obtain the temperature deviation ratio. If the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, the temperature deviation ratio and the high energy consumption ratio of all the overlapping periods are calculated to obtain the temperature energy consumption ratio. The temperature energy consumption ratio variance Fc within the monitoring period is calculated, and the mean of the overlapping period is calculated with the number of monitoring periods in the monitoring period to obtain the mean ratio Ch of the overlapping period. Based on the temperature energy consumption ratio variance Fc and the mean ratio Ch of the overlapping period, the energy consumption impact Yx is calculated. If the energy consumption impact Yx ≥ the energy consumption impact threshold Yxz, an energy consumption control signal is generated; Control calculation module: Based on the energy consumption control signal, a scatter plot of temperature deviation ratio-high energy consumption ratio is constructed, and the control circle is divided according to the distance between the scatter points. The temperature deviation ratio within the control circle is numerically calculated to obtain the temperature control amount, and the air conditioner is controlled based on the temperature control amount.

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