An energy management optimization method and system based on intelligent monitoring display

Abstract

The application relates to the technical field of intelligent monitoring, and particularly discloses an energy management optimization method and system based on an intelligent monitoring display, which comprises the following steps: dividing an air conditioner energy consumption monitoring period, accurately obtaining power consumption of each period, marking a high energy consumption period, calculating a high energy consumption time ratio, an electric 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 of a set temperature and a suitable temperature range based on the energy consumption analysis signal, obtaining a temperature energy consumption ratio, a variance, a mean ratio and an energy consumption influence degree, generating a regulation and control signal when the energy consumption influence degree exceeds a corresponding threshold value, constructing a temperature deviation ratio-high energy consumption electric ratio scatter diagram, obtaining a temperature regulation amount through data processing, regulating the temperature of the air conditioner according to the temperature regulation amount to adjust the air conditioner energy consumption, and the temperature regulation amount is displayed in real time through the intelligent monitoring display, so that a worker can regulate the temperature of the air conditioner unit according to the displayed temperature regulation amount, and the optimization of energy management is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent monitoring, and particularly relates to an energy management optimization method and system based on an intelligent monitoring display. BACKGROUND

[0002] Intelligent monitoring uses modern information technology, the Internet of Things, big data and other advanced technologies to monitor, analyze and control the operation state of an energy system in real time. This monitoring method can accurately grasp the real-time use of energy, including the flow, pressure, temperature and other key parameters of energy, thereby achieving comprehensive control of the energy system.

[0003] For example, the use of air conditioning units is essential in large supermarkets or large buildings, but the energy consumption of air conditioning units lacks effective monitoring and adjustment. The relationship between energy consumption and temperature, time and other factors is not analyzed in depth, and the change rule of air conditioning energy consumption under different temperature settings and the difference in energy consumption in different time periods are not studied in detail.

[0004] Therefore, the present application provides an energy management optimization method and system based on an intelligent monitoring display. SUMMARY

[0005] The present application aims to provide an energy management optimization method and system based on an intelligent monitoring display to solve the problems in the background.

[0006] The object of the present application can be achieved by the following technical solutions:

[0007] An energy management optimization method based on an intelligent monitoring display, comprising:

[0008] dividing the monitoring period of air conditioning energy consumption into multiple monitoring periods, obtaining the power consumption of the air conditioning unit in each period;

[0009] marking the period when the air conditioning power consumption is higher than the reference value of power consumption as a high energy consumption period, calculating the high energy consumption time ratio Gn by comparing the length of the high energy consumption time with the length of the monitoring period, and calculating the high energy consumption power ratio Hd by comparing the air conditioning power consumption in the high energy consumption time with the reference value of power consumption;

[0010] calculating the energy consumption analysis value Fx based on the high energy consumption time ratio Gn and the high energy consumption power ratio Hd, and generating an energy consumption analysis signal if the energy consumption analysis value Fx is greater than or equal to the energy consumption analysis threshold Fxz;

[0011] based on the energy consumption analysis signal, calculating the temperature deviation ratio by comparing the set temperature of the air conditioning unit with the appropriate temperature range;

[0012] If the temperature deviation ratio monitoring period coincides with the high energy consumption period, the temperature energy consumption ratio is obtained by processing the temperature deviation ratio and the high energy consumption ratio of all coinciding periods, and the temperature energy consumption ratio variance Fc in the monitoring period is calculated;

[0013] The coinciding period mean value is calculated with the number of monitoring periods in the monitoring period to obtain the coinciding period mean value ratio Ch;

[0014] Based on the temperature energy consumption ratio variance Fc and the coinciding period mean value ratio Ch, the energy consumption influence degree Yx is calculated, if the energy consumption influence degree Yx is greater than or equal to the energy consumption influence degree threshold Yxz, an energy consumption regulation signal is generated;

[0015] Based on the energy consumption regulation signal, a scatter plot of the temperature deviation ratio-high energy consumption ratio is constructed, the regulation circle is divided according to the distance between the scatters, the temperature regulation amount is obtained by numerical calculation of the temperature deviation ratio in the regulation circle, and the temperature of the air conditioning unit is regulated based on the temperature regulation amount.

[0016] As a further technical solution of the application: the energy consumption analysis value Fx is obtained by:

[0017] Based on the high energy consumption time ratio Gn and the high energy consumption ratio Hd, the energy consumption analysis value Fx is calculated by a weighted formula.

[0018] As a further technical solution of the application: the high energy consumption time ratio Gn is obtained by:

[0019] Based on the air conditioning power consumption of each monitoring period in the monitoring period, the monitoring period with air conditioning power consumption higher than the power consumption reference value is marked as a high energy consumption period;

[0020] The time length of the high energy consumption period in the monitoring period is obtained, and the time length of the monitoring period is obtained.

[0021] The time length of the high energy consumption period is processed by ratio to the time length of the monitoring period to obtain the high energy consumption time ratio, and the high energy consumption time ratio is marked as Gn.

[0022] As a further technical solution of the application: the high energy consumption ratio mean value Hd is obtained by:

[0023] The air conditioning power consumption of the high energy consumption period is subtracted from the power consumption reference value and the absolute value is processed to obtain the high energy consumption power difference;

[0024] The high energy consumption power difference is processed by ratio to the power consumption reference value to obtain the high energy consumption ratio;

[0025] The high energy consumption ratios in the monitoring period are summed and averaged to obtain the high energy consumption ratio mean value, and the high energy consumption ratio mean value is marked as Hd.

[0026] As a further technical scheme of the present application, the acquisition method of the energy consumption influence degree Yx is:

[0027] The energy consumption influence degree Yx is calculated based on the temperature energy consumption ratio variance Fc and the coincidence period average ratio Ch.

[0028] The energy consumption influence degree Yx is calculated by the formula: , wherein ln(b1*Fc+b2*Ch) is a logarithmic function with base e, and b1 and b2 are preset proportion coefficients.

[0029] As a further technical scheme of the present application, the acquisition method of the temperature energy consumption ratio variance Fc is:

[0030] The working mode of the air conditioning unit in the monitoring period is acquired, and the set temperature corresponding to the air conditioning unit is acquired.

[0031] The set temperature of the air conditioner is respectively subtracted from the two end point values of the suitable temperature range, and the absolute values are taken, and the two temperature differences obtained are compared, and the smallest temperature difference is selected to obtain the set temperature difference.

[0032] The set temperature difference is compared with the length of the suitable temperature range to obtain the temperature deviation ratio.

[0033] The monitoring period of the temperature deviation ratio is compared with the high energy consumption period.

[0034] If the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, the monitoring period is marked as a coincidence period.

[0035] If the monitoring period of the temperature deviation ratio does not coincide with the high energy consumption period, no processing is performed.

[0036] The temperature deviation ratio of the coincidence period is acquired, and the high energy consumption ratio is acquired. The temperature deviation ratio of the coincidence period is compared with the high energy consumption ratio to obtain the temperature energy consumption ratio.

[0037] The temperature energy consumption ratios of all the coincidence periods in the monitoring period are put into 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.

[0038] As a further technical scheme of the present application, the acquisition method of the coincidence period average ratio Ch is:

[0039] The number of the coincidence periods in the monitoring period is acquired, the number of the coincidence periods is summed and averaged to obtain the coincidence period average.

[0040] The coincidence period average is compared with the number of the monitoring periods in the monitoring period to obtain the coincidence period average ratio, and the coincidence period average ratio is marked as Ch.

[0041] As a further technical scheme of the present application, the temperature regulation amount is obtained in the following manner:

[0042] The maximum and minimum values of the regulation ratio in the regulation circle are obtained to obtain a regulation ratio range;

[0043] If the high energy consumption ratio of the air conditioning unit is within the regulation ratio range, the minimum value of the temperature deviation ratio in the coordinate point in the regulation circle corresponding to the regulation ratio range is obtained;

[0044] The minimum value of the temperature deviation ratio is multiplied by the set temperature of the air conditioning unit to obtain a temperature regulation amount;

[0045] The temperature of the air conditioning unit is regulated based on the temperature regulation amount.

[0046] As a further technical scheme of the present application, the regulation circle is obtained in the following manner:

[0047] Based on the energy consumption regulation 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;

[0048] Based on the data pair, a scatter plot of the temperature deviation ratio-high energy consumption ratio is constructed in a two-dimensional rectangular coordinate system, with the temperature deviation ratio as the X-axis and the high energy consumption ratio as the Y-axis, and the data pair as the coordinate point;

[0049] In the two-dimensional rectangular coordinate system, the distance between each coordinate point is calculated by the Euclidean formula to obtain a coordinate distance;

[0050] For example, if there are two coordinates A (0.2, 0.5) and B (0.5, 2.0) in the two-dimensional rectangular coordinate system, the Euclidean distance formula is: The coordinate distance between points A and B is obtained as 0.583;

[0051] The coordinate distance is compared with a coordinate distance threshold, and the coordinate points with a coordinate distance lower than the coordinate distance threshold are divided into a regulation circle.

[0052] As a further technical scheme of the present application, 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, which are integrated in the intelligent monitoring display:

[0053] The energy consumption acquisition module divides the monitoring period of air conditioning energy consumption into multiple monitoring periods, and obtains the power consumption of the air conditioning unit in each period;

[0054] The energy consumption analysis module: based on the air conditioner power consumption, the period with air conditioner power consumption higher than the power consumption reference value is marked as a high energy consumption period, the high energy consumption time length and the time length of the monitoring period are calculated to obtain the high energy consumption time ratio Gn, the air conditioner power consumption of the high energy consumption time and the power consumption reference value are calculated to obtain the high energy consumption power ratio Hd, based on the high energy consumption time ratio Gn, the high energy consumption power ratio Hd, the energy consumption analysis value Fx is calculated, if the energy consumption analysis value Fx is greater than or equal to the energy consumption analysis threshold Fxz, the energy consumption analysis signal is generated;

[0055] The regulation analysis module: based on the energy consumption analysis signal, the set temperature of the air conditioning unit is obtained, 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 power ratio of the whole coincidence period are calculated to obtain the temperature energy consumption ratio, the temperature energy consumption ratio variance Fc in the monitoring period is calculated, the coincidence period average and the number of monitoring periods in the monitoring period are calculated to obtain the coincidence period average ratio Ch, based on the temperature energy consumption ratio variance Fc, the coincidence period average ratio Ch, the energy consumption influence degree Yx is calculated, if the energy consumption influence degree Yx is greater than or equal to the energy consumption influence degree threshold Yxz, the energy consumption regulation signal is generated;

[0056] The regulation calculation module: based on the energy consumption regulation signal, the temperature deviation ratio-high energy consumption power ratio scatter diagram is constructed, the regulation circle is divided according to the distance between the scatter points, the temperature regulation amount is obtained by numerical calculation of the temperature deviation ratio in the regulation circle and the set temperature of the air conditioning unit, and the air conditioner is regulated based on the temperature regulation amount.

[0057] The beneficial effects of the present application are:

[0058] By dividing the monitoring period according to the personnel activity time and obtaining detailed power consumption data, calculating the high energy consumption related indicators and energy consumption analysis value, constructing the temperature and energy consumption relationship model, the energy consumption abnormal period and temperature influencing factors can be accurately identified, which provides a scientific basis for regulation, effectively avoids the blindness and single of traditional control method, and is beneficial to significantly reduce energy waste;

[0059] The intelligent regulation strategy has remarkable effect, the temperature regulation amount is calculated based on the scatter diagram regulation circle, the temperature is accurately controlled, the actual situation is flexibly adjusted, the personalized demand is met while the energy saving effect is continuously optimized, the personnel comfort is effectively improved, and the high-quality indoor environment is created for various places such as office and life while the operation cost is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0060] The present application will be further described below with reference to the drawings.

[0061] Figure 1 It is a kind of energy management optimization method flow chart based on intelligent monitoring display of the present application;

[0062] Figure 2 is a module diagram of an energy management optimization system based on an intelligent monitoring display in the present application. DETAILED DESCRIPTION

[0063] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts fall within the scope of the present application.

[0064] The present application is based on an intelligent monitoring display, which includes an energy consumption acquisition module, an energy consumption analysis module, a regulation and control analysis module, and a regulation and control calculation module.

[0065] The 5G communication technology is directly applied to the intelligent monitoring display to realize ultra-high-speed and low-delay wireless data transmission, ensure real-time transmission and interaction of remote high-definition video streams, and improve monitoring efficiency and response speed. By integrating the PoE technology, the display can directly obtain power supply from the Ethernet line, without additional power supply wiring, which reduces the complexity of engineering deployment, improves installation flexibility, and reduces potential safety hazards. The 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.

[0066] It is suitable for various complex scenarios, especially for places that need to be quickly deployed or upgraded, such as large buildings, smart cities, industrial automation, etc., which greatly shortens the construction period and reduces costs. Through the large bandwidth and low delay characteristics provided by the 5G network, high-quality monitoring information can be transmitted in real time, which significantly improves the security warning and emergency response. The integrated intelligent monitoring display is convenient for large-scale networking and system expansion, and meets the development needs of future Internet of Things and smart cities. EMBODIMENT

[0067] As shown in Figure 1 The present energy management optimization method is based on energy management of large supermarkets or buildings. Since large supermarkets or buildings usually require larger power supply or heating energy consumption, it is very important to optimize energy efficiency and intelligently manage energy consumption. Based on this, an energy management optimization method based on an intelligent monitoring display is proposed, which specifically includes:

[0068] Step one, divide the monitoring period of air conditioning energy consumption into multiple monitoring periods, and obtain the power consumption of the air conditioning unit in each period;

[0069] It should be noted that the air conditioner power consumption is obtained through the electric energy meter, so as to obtain the energy consumption data of the air conditioning unit;

[0070] Step two, based on the air conditioner power consumption, the period with air conditioner power consumption higher than the reference value of power consumption is marked as a high energy consumption period, the length of the high energy consumption time is compared with the length of the monitoring period, and the high energy consumption time ratio Gn is obtained;

[0071] The air conditioner power consumption of the high energy consumption time is calculated with the reference value of power consumption, and the high energy consumption power ratio Hd is obtained;

[0072] 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, and if the energy consumption analysis value Fx is greater than or equal to the energy consumption analysis threshold Fxz, the energy consumption analysis signal is generated;

[0073] Based on the air conditioner power consumption of each monitoring period in the monitoring period, the air conditioner power consumption of each monitoring period is compared with the reference value of power consumption;

[0074] The monitoring period with air conditioner power consumption higher than the reference value of power consumption is marked as a high energy consumption period;

[0075] The monitoring period with air conditioner power consumption lower than the reference value of power consumption is marked as a low energy consumption period;

[0076] The length of the high energy consumption period in the monitoring period is obtained, and the length of the monitoring period is obtained;

[0077] The length of the high energy consumption time is compared with the length of the monitoring period, and the high energy consumption time ratio Gn is obtained;

[0078] The length of the high energy consumption time is the sum of the lengths of all high energy consumption periods in the monitoring period;

[0079] The air conditioner power consumption of the high energy consumption period is subtracted from the reference value of power consumption and the absolute value is processed, and the high energy consumption power difference is obtained;

[0080] The high energy consumption power difference is compared with the reference value of power consumption, and the high energy consumption power ratio is obtained;

[0081] The sum of all high energy consumption power ratios in the monitoring period is obtained, and the average value of the high energy consumption power ratio is obtained, and the average value of the high energy consumption power ratio is marked as Hd;

[0082] It should be noted that the reference value of power consumption is set by the professional technical personnel in the art according to experience;

[0083] 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;

[0084] Through the formula: , the energy consumption analysis value Fx is calculated, wherein a=0.57, b=0.43;

[0085] The energy consumption analysis value Fx is compared with the energy consumption analysis threshold Fxz;

[0086] If the energy consumption analysis value Fx is greater than or equal to the energy consumption analysis threshold Fxz, it indicates that the energy consumption of the air conditioning unit in the current monitoring period exceeds the expectation, and an energy consumption analysis signal is generated, and the air conditioning energy consumption data needs to be further analyzed;

[0087] If the energy consumption analysis value Fx is less than the energy consumption analysis threshold Fxz, it indicates that the energy consumption of the air conditioning unit in the current monitoring period is within the expected range, and the change of the air conditioning energy consumption analysis value Fx is continuously monitored;

[0088] The technical scheme of the embodiment is: analyzing the usage state of the air conditioning unit in the target building, dividing the monitoring period of the air conditioning energy consumption into multiple time periods, obtaining the power consumption of the air conditioning unit in each time period, based on the air conditioning power consumption, marking the time period with air conditioning power consumption higher than the power consumption reference value as a high energy consumption time period, performing ratio processing on the time length of the high energy consumption and the time length of the monitoring period to obtain a high energy consumption time ratio Gn, calculating the air conditioning power consumption of the high energy consumption time and the power consumption reference value to obtain a high energy consumption power ratio Hd, based on the high energy consumption time ratio Gn and the high energy consumption power ratio Hd, calculating the energy consumption analysis value Fx, and if the energy consumption analysis value Fx is greater than or equal to the energy consumption analysis threshold Fxz, an energy consumption analysis signal is generated. Embodiment

[0089] The application is an energy management optimization method based on an intelligent monitoring display, which further comprises:

[0090] Step three, based on the energy consumption analysis signal, obtaining the set temperature of the air conditioning unit, calculating the set temperature and the suitable temperature range to obtain a temperature deviation ratio, if the monitoring time period of the temperature deviation ratio coincides with the high energy consumption time period, calculating the temperature deviation ratio and the high energy consumption power ratio of all the coinciding time periods to obtain a temperature energy consumption ratio, calculating the temperature energy consumption ratio variance Fc in the monitoring period, calculating the coinciding time period average ratio Ch from the monitoring time period number of the monitoring period, based on the temperature energy consumption ratio variance Fc and the coinciding time period average ratio Ch, calculating the energy consumption influence degree Yx, and if the energy consumption influence degree Yx is greater than or equal to the energy consumption influence degree threshold Yxz, an energy consumption regulation signal is generated;

[0091] Obtaining the working mode of the air conditioning unit in the monitoring time period and the set temperature corresponding to the air conditioning unit;

[0092] The set temperature of the air conditioning unit is respectively compared with the two end point values of the suitable temperature range, the difference value is obtained and the absolute value is processed, and the two temperature difference values obtained are compared to select the smallest temperature difference to obtain a set temperature difference;

[0093] It should be noted that the appropriate temperature range of air conditioning unit refers to the temperature range described in the file of "Indoor Air Quality Standard" GB / T18883-2002, i.e. the refrigeration indoor temperature is 22-28℃, and the heating indoor temperature is in the range of 16-24℃;

[0094] The set temperature difference is compared with the length of the appropriate temperature range to obtain a temperature deviation ratio;

[0095] The monitoring period of the temperature deviation ratio is compared with the high energy consumption period;

[0096] If the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, the monitoring period is marked as a coincidence period;

[0097] If the monitoring period of the temperature deviation ratio does not coincide with the high energy consumption period, no processing is performed;

[0098] The temperature deviation ratio and the high energy consumption ratio of the coincidence period are obtained, and the temperature deviation ratio of the coincidence period is compared with the high energy consumption ratio to obtain a temperature energy consumption ratio;

[0099] The temperature energy consumption ratios of all coincidence periods in the monitoring period are put into 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;

[0100] The number of coincidence periods in the monitoring period is obtained, and the number of coincidence periods is summed and averaged to obtain a coincidence period average;

[0101] The coincidence period average is compared with the number of monitoring periods in the monitoring period to obtain a coincidence period average ratio, and the coincidence period average ratio is marked as Ch;

[0102] Based on the temperature energy consumption ratio variance Fc and the coincidence period average ratio Ch, the energy consumption influence degree Yx is calculated;

[0103] The energy consumption influence degree Yx is calculated by the formula: , wherein ln(b1*Fc+b2*Ch) is a logarithmic function with base e, b1=0.787, and b2=0.213;

[0104] The energy consumption influence degree Yx is compared with the energy consumption influence degree threshold Yxz;

[0105] If the energy consumption influence degree Yx is greater than or equal to the energy consumption influence degree threshold Yxz, it indicates that the set temperature of the air conditioner has a large influence on the energy consumption of the air conditioner in the current monitoring period, an energy consumption control signal is generated to control the energy consumption of the air conditioning unit, and the purpose of energy saving is achieved;

[0106] If the energy consumption influence degree Yx is less than the energy consumption influence degree threshold Yxz, it indicates that the air conditioner set temperature has an influence on the air conditioner energy consumption within the expected range in the current monitoring period, and the change of the energy consumption influence degree Yx still needs to be continuously monitored.

[0107] Step four, based on the energy consumption regulation signal, a scatter plot of temperature deviation ratio-high energy consumption electric ratio is constructed, the regulation circle is divided according to the distance between the scatter points, the temperature deviation ratio in the regulation circle is numerically calculated to obtain the temperature regulation amount, and the temperature of the air conditioning unit is regulated based on the temperature regulation amount.

[0108] Based on the energy consumption regulation signal, the temperature deviation ratio and the high energy consumption electric ratio at the same time in the overlapping period are obtained, and the temperature deviation ratio and the high energy consumption electric ratio at the same time are taken as a data pair.

[0109] For example, the temperature deviation ratio at 18:00 is 0.85, and the high energy consumption electric ratio is 0.78, and the constructed data pair is (0.85, 0.78).

[0110] Based on the data pair, a scatter plot of temperature deviation ratio-high energy consumption electric ratio is constructed in a two-dimensional rectangular coordinate system, taking the temperature deviation ratio as the X-axis and the high energy consumption electric ratio as the Y-axis, and taking the data pair as the coordinate point.

[0111] In the two-dimensional rectangular coordinate system, the distance between each coordinate point is calculated by the Euclidean formula to obtain the coordinate distance.

[0112] For example, if there are two coordinates A (0.2, 0.5) and B (0.5, 2.0) in the two-dimensional rectangular coordinate system, the Euclidean distance formula is: The coordinate distance between points A and B is 0.583.

[0113] The coordinate distance is compared with the coordinate distance threshold, and the coordinate points with a coordinate distance lower than the coordinate distance threshold are divided into a regulation circle.

[0114] It should be noted that the scatter plot of temperature deviation ratio-high energy consumption electric ratio has multiple regulation circles, and the scatter point threshold is set by the person skilled in the art based on experience.

[0115] The maximum and minimum values of the regulation ratio in the regulation circle are obtained to obtain the regulation ratio range.

[0116] If the high energy consumption electric ratio of the air conditioning unit is within the regulation ratio range, the minimum value of the temperature deviation ratio in the regulation circle corresponding to the regulation ratio range is obtained.

[0117] The minimum value of the temperature deviation ratio is multiplied by the set temperature of the air conditioning unit to obtain the temperature regulation amount.

[0118] The temperature of the air conditioning unit is regulated based on the temperature regulation amount.

[0119] For example, if the temperature regulation amount is 2.5, if the current air conditioning unit is in cooling mode, the temperature of the air conditioning unit is increased by 2.5℃, if the air conditioning unit is in heating mode, the temperature of the air conditioning unit is decreased by 2.5℃;

[0120] The monitoring display displays 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.

[0121] The technical scheme of the embodiment is: based on the energy consumption analysis signal, the set temperature of the air conditioning unit is obtained, the set temperature is calculated with 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, the temperature deviation ratio and the high energy consumption ratio of all the coinciding periods are calculated to obtain the temperature energy consumption ratio, the temperature energy consumption ratio variance Fc in the monitoring period is calculated, the average of the coinciding period is calculated with the number of monitoring periods in the monitoring period to obtain the average of the coinciding period Ch, based on the temperature energy consumption ratio variance Fc and the average of the coinciding period Ch, the energy consumption influence degree Yx is calculated, if the energy consumption influence degree Yx≥energy consumption influence degree threshold Yxz, the energy consumption regulation signal is generated, based on the energy consumption regulation signal, the scatter plot of the temperature deviation ratio-high energy consumption ratio is constructed, the regulation circle is divided according to the distance between the scatters, the numerical value of the temperature deviation ratio in the regulation circle is calculated to obtain the temperature regulation amount, and the air conditioner is regulated based on the temperature regulation amount. Embodiment

[0122] An energy management optimization system based on an intelligent monitoring display, comprising 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:

[0123] The energy consumption acquisition module: divides the monitoring period of the air conditioner energy consumption into multiple monitoring periods, and obtains the power consumption of the air conditioning unit in each period;

[0124] The energy consumption analysis module: based on the air conditioner power consumption, the period when the air conditioner power consumption is higher than the power consumption reference value is marked as a high energy consumption period, the time length of the high energy consumption is processed by ratio with the time length of the monitoring period to obtain the high energy consumption time ratio Gn, the air conditioner power consumption of 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≥energy consumption analysis threshold Fxz, the energy consumption analysis signal is generated;

[0125] The regulation analysis module: based on the energy consumption analysis signal, the set temperature of the air conditioning unit is obtained, the set temperature is calculated with the suitable temperature range, the temperature deviation ratio is obtained, if the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, the temperature energy consumption ratio is calculated by calculating the temperature deviation ratio and the high energy consumption ratio of all the coinciding periods, the temperature energy consumption ratio variance Fc in the monitoring period is calculated, the coinciding period average is calculated with the number of monitoring periods in the monitoring period, the coinciding period average ratio Ch is obtained, based on the temperature energy consumption ratio variance Fc and the coinciding period average ratio Ch, the energy consumption influence degree Yx is calculated, if the energy consumption influence degree Yx is greater than or equal to the energy consumption influence degree threshold Yxz, the energy consumption regulation signal is generated;

[0126] The regulation calculation module: based on the energy consumption regulation signal, the scatter plot of the temperature deviation ratio-high energy consumption ratio is constructed, the regulation circle is divided according to the distance between the scatter points, the regulation ratio average is obtained by summing and averaging the high energy consumption ratio in the regulation circle, the regulation ratio average of each regulation circle is sorted to form the regulation data group, the temperature regulation amount is obtained by numerical calculation of the temperature deviation ratio in the regulation circle and the set temperature of the air conditioning unit, and the air conditioner is regulated based on the temperature regulation amount.

[0127] Specifically: the intelligent monitoring display displays 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.

[0128] The above describes one embodiment of the present application in detail, but the content described is only the preferred embodiment of the present application, and cannot be considered as limiting the scope of the present application. Any equivalent changes and improvements made according to the scope of the present application should still belong to the scope of the present application.

Claims

1. An energy management optimization method based on an intelligent monitoring display, characterized in that: Includes the following steps: The monitoring cycle for air conditioning energy consumption is divided into multiple monitoring periods to obtain the power consumption of the air conditioning unit in each period. The period when the air conditioner's power consumption is higher than the power consumption reference value is marked as a high energy consumption period. The high energy consumption time length is calculated by comparing the high energy consumption time length with the monitoring cycle length to obtain the high energy consumption time ratio Gn; the air conditioner's power consumption during the high energy consumption time is calculated by comparing the power consumption reference value to obtain the high energy consumption ratio hd. The energy consumption analysis value Fx is calculated based on the high energy consumption time ratio Gn and the average high energy consumption electricity ratio Hd. If the energy consumption analysis value Fx ≥ the energy consumption analysis threshold Fxz, an energy consumption analysis signal is generated. Based on energy consumption analysis signals, the temperature deviation ratio is calculated by comparing the set temperature of the air conditioning unit with the suitable temperature range. If the monitoring period of the temperature deviation ratio coincides with the high energy consumption period, the temperature deviation ratio and high energy consumption ratio of all overlapping periods are processed to obtain the temperature energy consumption ratio, and the variance Fc of the temperature energy consumption ratio within the monitoring period is calculated. The average value of overlapping time periods is calculated by comparing it with the number of monitoring periods in the monitoring cycle to obtain the average value of overlapping time periods, Ch. The energy consumption impact Yx is calculated based on the temperature energy consumption ratio variance Fc and the mean ratio of overlapping time periods 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. Control circles are 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. The method for obtaining the average high energy consumption ratio Hd is as follows: The difference between the air conditioner power consumption during high energy consumption periods and the reference power consumption value is calculated and the absolute value is taken to obtain the high energy consumption power difference. The high energy consumption difference is calculated by comparing it with the reference value of energy consumption to obtain the high energy consumption ratio. The average of all high energy consumption ratios within the monitoring period is summed and averaged to obtain the average high energy consumption ratio, which is then labeled as Hd.

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

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

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

5. The energy management optimization method based on an intelligent monitoring display according to claim 4, characterized in that: The method for obtaining the temperature energy consumption ratio variance Fc is as follows: Obtain the operating mode of the air conditioning unit and the corresponding set temperature of the air conditioning unit during the monitoring period; The air conditioner set temperature is compared with the two endpoints of the suitable temperature range, and the absolute value of the difference is taken. The two temperature differences are then compared, and the smallest temperature difference is selected as the set temperature difference. The temperature deviation ratio is obtained by processing the ratio of the set temperature difference to the length of the suitable temperature range. Compare the monitoring period of temperature deviation ratio with the period of high energy consumption; If the monitoring period for the temperature deviation ratio coincides with the period of high energy consumption, the monitoring period will be marked as the overlapping period. If the monitoring period for the temperature deviation ratio does not coincide with the period of high energy consumption, no action will be taken. Obtain the temperature deviation ratio and high energy consumption ratio during the overlapping period. Then, process the ratio of the temperature deviation ratio and the high energy consumption ratio during the overlapping period to obtain the temperature energy consumption ratio. The temperature energy consumption ratios of all overlapping periods within the monitoring cycle are placed into the temperature energy consumption ratio data set. The variance of the temperature energy consumption ratios in the temperature energy consumption ratio data set is calculated and denoted as Fc.

6. The energy management optimization method based on an intelligent monitoring display according to claim 4, characterized in that: The method for obtaining the mean ratio Ch of the overlapping time periods is as follows: Obtain the number of overlapping time periods within the monitoring period, sum the number of overlapping time periods and take the average to obtain the average number of overlapping time periods; The average value of overlapping time periods is compared with the number of monitoring time periods in the monitoring cycle to obtain the average value ratio of overlapping time periods, which is then labeled as Ch.

7. The energy management optimization method based on an intelligent monitoring display according to claim 1, characterized in that: The method for obtaining the temperature control amount is as follows: Obtain the maximum and minimum values ​​of the control ratio within the control loop to obtain the control ratio range; If the high energy consumption ratio of the air conditioning unit is within the control ratio range, obtain the minimum value of the temperature deviation ratio within the control circle corresponding to the control ratio range; The minimum temperature deviation ratio is multiplied by the set temperature of the air conditioning unit to obtain the temperature control value. The temperature of the air conditioning unit is regulated based on the temperature control parameters.

8. The energy management optimization method based on an intelligent monitoring display according to claim 7, characterized in that: The control loop is obtained as follows: Based on energy consumption control signals, the temperature deviation ratio and high energy consumption ratio at the same time during overlapping periods are obtained, and the temperature deviation ratio and high energy consumption ratio at the same time are used as data pairs. Based on the data pairs, in a two-dimensional rectangular coordinate system, a scatter plot of temperature deviation ratio - high energy consumption ratio is constructed with temperature deviation ratio as the X-axis, high energy consumption ratio as the Y-axis, and data pairs as coordinate points. In a two-dimensional rectangular coordinate system, the distance between each coordinate point is calculated using Euclidean formulas to obtain the coordinate spacing.

9. An energy management optimization system based on an intelligent monitoring display, characterized in that: It includes an energy consumption acquisition module, an energy consumption analysis module, a regulation analysis module, and a regulation calculation module, all of which are integrated within an intelligent monitoring display. Energy consumption acquisition module: Divides the monitoring period of air conditioning energy consumption into multiple monitoring periods and acquires the power consumption of the air conditioning unit in each period; Energy consumption analysis module: Based on air conditioning power consumption, the time period when the air conditioning power consumption is higher than the power consumption reference value is marked as a high energy consumption time period. The length of the high energy consumption time period is calculated with the length of the monitoring cycle to obtain the high energy consumption time ratio Gn. The air conditioning power consumption during the high energy consumption time period 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 average high energy consumption electricity 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 energy consumption analysis signals, it obtains the set temperature of the air conditioning unit, calculates the temperature deviation ratio by comparing the set temperature with the suitable temperature range. If the monitoring period of temperature deviation ratio coincides with the high energy consumption period, calculate the temperature deviation ratio and high energy consumption ratio for all overlapping periods to obtain the temperature energy consumption ratio, and calculate the variance Fc of temperature energy consumption ratio within the monitoring period. The average value of overlapping time periods is calculated by comparing it with the number of monitoring periods in the monitoring cycle to obtain the average value of overlapping time periods, Ch. Based on the temperature energy consumption ratio variance Fc and the overlap period mean ratio Ch, calculate the energy consumption influence Yx. If the energy consumption influence Yx ≥ the energy consumption influence threshold Yxz, generate an energy consumption control signal. Control calculation module: Based on the energy consumption control signal, a scatter plot of temperature deviation ratio - high energy consumption ratio is constructed. 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 air conditioner is controlled based on the temperature control amount. The method for obtaining the average high energy consumption ratio Hd is as follows: The difference between the air conditioner power consumption during high energy consumption periods and the reference power consumption value is calculated and the absolute value is taken to obtain the high energy consumption power difference. The high energy consumption difference is calculated by comparing it with the reference value of energy consumption to obtain the high energy consumption ratio. The average of all high energy consumption ratios within the monitoring period is summed and averaged to obtain the average high energy consumption ratio, which is then labeled as Hd.

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