Energy management and control method and system based on AI smart park

Abstract

The present invention relates to the field of energy management and control technology, and discloses an energy management and control method and system based on an AI smart park. The park is divided into a plurality of sub-areas according to the number of office rooms of a target building; an image of the facade of the target building, the light intensity and temperature of the indoor and outdoor of each sub-area are collected at a fixed time interval t within a first preset time period; a shadow area is identified for the image of the facade of the target building, and the light-transmitting area of ​​each sub-area is calculated according to the shadow area; the light-transmitting area of ​​the sub-area and the outdoor light intensity as well as the influence of the outdoor temperature on the indoor temperature and the indoor light intensity are determined; the mapping relationship between the outdoor temperature and the indoor temperature of the sub-area is determined; the influence of the outdoor temperature of the sub-area on the actual heat load of the air conditioner is determined; and the light transmittance of the electroluminescent glass, the brightness of the lamp and the cooling capacity per unit time of the air conditioner in the sub-area are dynamically adjusted according to standard office space data.

Description

Technical Field

[0001] The present invention relates to the field of energy management and control, and more specifically, to an energy management and control method and system based on AI smart park. Background Art

[0002] With the rapid development of artificial intelligence technology, more and more parks have begun to adopt intelligent energy management systems. In these parks, the power consumption of air conditioning systems and lighting equipment often accounts for the majority of total energy consumption.

[0003] In campus buildings, electroluminescent glass is often used in the design and decoration of building facades due to its ability to adjust light transmittance. However, the control of electroluminescent glass, air conditioning systems and lighting equipment in existing technologies mostly relies on manual adjustment, which cannot fully utilize outdoor light and heat, resulting in low energy efficiency and unnecessary waste of electricity. Summary of the invention

[0004] The present invention provides an energy management and control method and system based on AI smart park to solve the technical problems raised in the background technology.

[0005] First, energy management and control methods based on AI smart parks include:

[0006] Step 1: Divide the park into several sub-areas according to the number of office rooms in the target building; collect images of the facade of the target building at fixed time intervals t within a first preset time period, and the light intensity and temperature of the indoor and outdoor areas of each sub-area;

[0007] Step 2, identifying the shadow area of ​​the target building facade image, and calculating the light transmission area of ​​each sub-area based on the shadow area;

[0008] Step 3, determine the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature and the indoor light intensity; determine the mapping relationship between the outdoor temperature and the indoor temperature of the sub-region; determine the influence of the outdoor temperature of the sub-region on the actual heat load of the air conditioner;

[0009] Step 4, dynamically adjusting the light transmittance of the electroluminescent glass, the brightness of the lamps and the cooling capacity per unit time of the air conditioner in the sub-area according to the standard office space data;

[0010] Among them, the standard office space data indicates that the temperature is , the light intensity is , and These are custom parameters.

[0011] Furthermore, the shadow area of ​​the target building facade image is identified, including:

[0012] Graying the image of the target building facade at the kth moment in the first preset time period to obtain a graying matrix;

[0013] The elements of the grayscale matrix are classified by a preset classification threshold. If the element value of an element in the grayscale matrix is ​​greater than the preset classification threshold, the element value of the element is replaced by 1, otherwise it is replaced by 0, and a classification matrix is ​​obtained;

[0014] Connected region detection is performed on the classification matrix, and adjacent elements with element values ​​of 0 are classified as the same connected region; where adjacent means that the eight neighborhoods in the classification matrix are adjacent;

[0015] Calculate the number of elements in each connected area, compare the number of elements in all connected areas, find the connected area whose number of elements is greater than the preset threshold, and determine the area as a shadow occlusion area;

[0016] A shadow matrix is ​​obtained according to the shadow occlusion area, in which the element values ​​of the elements in the shadow occlusion area in the shadow matrix are all 0, and the element values ​​of the other elements are all 1.

[0017] Furthermore, the light transmission area of ​​each sub-area is calculated according to the shadow area, including:

[0018] Performing manual semantic segmentation on the image of the exterior facade of the target building at the kth moment within the first preset time period, and marking each piece of electroluminescent glass in the image of the exterior facade of the target building;

[0019] Jointly marking the marked electro-luminescent glass and the sub-region where the electro-luminescent glass is located to obtain a reference matrix;

[0020] Overlap and align the reference matrix and the shadow matrix to obtain a composite matrix;

[0021] The element values ​​in the statistical composite matrix are elements of a feature vector constructed based on the labeling of the electroluminescent glass, the labeling of the sub-region and 0 or 1;

[0022] Compare the total number of elements of the electro-optical transmissive glass in the i-th sub-region with the number of elements of 0 and the number of elements of 1, respectively, to determine the proportion of the shadow-blocked area and the proportion of the illuminated area of ​​the electro-optical transmissive glass in the i-th sub-region;

[0023] The light-transmitting area of ​​the i-th sub-region is obtained according to the area of ​​the electro-light-transmitting glass in the i-th sub-region and the ratio of the illuminated area of ​​the electro-light-transmitting glass in the i-th sub-region.

[0024] Furthermore, the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature and the indoor light intensity is determined, including:

[0025] pass Determine the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor light intensity; among which, represents the influence of the light transmission area of ​​the ith sub-region, the outdoor light intensity, and the outdoor temperature on the indoor light intensity. represents the outdoor light intensity of the ith sub-area, represents the transmittance of the ith sub-region regulated by the electroluminescent glass, represents the light-transmitting area of ​​the ith sub-region, Indicates the spatial size of the i-th sub-region;

[0026] pass Determine the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature; among which, represents the influence of the light transmission area of ​​the ith sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature. Represents the light-to-heat conversion efficiency.

[0027] Furthermore, the mapping relationship between the outdoor temperature and the indoor temperature of the sub-area is determined, including:

[0028] In a first preset time period, the tth sub-area is selected as the test area, the light transmittance of the electroluminescent glass in the test area is adjusted to 0, and the air conditioner is turned off; the temperature data of the room in the sub-area is collected at a fixed time interval t;

[0029] The outdoor temperature data of the test area at each time in the first preset time period and the indoor temperature data at each time are aligned, and the mapping relationship between the indoor and outdoor temperatures at each time in the test area is captured by the following formula. The mapping relationship formula is as follows:

[0030] ;in, Indicates the outdoor temperature of the test area. Indicates the temperature in the test area. Represents the thermal conductivity of the electroluminescent glass in the test area, represents the area of ​​the electroluminescent glass in the test area, represents the thermal conductivity of the wall of the test area, Indicates the wall area of ​​the test area in contact with the outdoors. is the specific heat capacity of air, represents the air density, Indicates the spatial size of the test area;

[0031] The temperature data of indoor and outdoor at each time in the first preset time period after the alignment are fitted by the least square method, so as to obtain the thermal conductivity of the electroluminescent glass in the test area and the thermal conductivity of the wall in the test area.

[0032] Furthermore, the influence of the outdoor temperature of the sub-area on the actual heat load of the air conditioner is determined, including:

[0033] The standard operating temperature of the air conditioner in the i-th sub-area in the cooling and heating operations, as well as the maximum heat load per unit time of the air conditioner under the standard temperature, are obtained through the air conditioner manufacturer's label;

[0034] pass Determine the effect of the outdoor temperature of the sub-area on the actual heat load of the air conditioner; Indicates the maximum cooling or heating capacity of the air conditioner per unit time. Indicates the maximum cooling capacity of the air conditioner at the standard cooling temperature. Indicates the current outside temperature. Indicates the standard outside temperature in cooling mode. represents the standard office space temperature, Indicates the maximum heating capacity of the air conditioner at the standard heating temperature. Standard outside temperature in heating mode, and denote the cooling mode sensitivity coefficient and the heating mode sensitivity coefficient respectively;

[0035] Collect the air inlet air temperature, outlet air temperature, outlet air velocity and air mass flow data of the air conditioner in the i-th sub-area indoor during the first time period;

[0036] pass Get the maximum cooling or heating capacity of the air conditioner per unit time; is the mass flow rate of air, is the specific heat capacity of air, Indicates the air temperature at the air inlet. Indicates the air temperature at the air outlet; obtained by fitting using the least squares method based on the actual maximum cooling or heating capacity per unit time of the air conditioner, the maximum cooling capacity of the air conditioner at the standard cooling temperature, and the maximum heating capacity of the air conditioner at the standard heating temperature and .

[0037] Furthermore, the light transmittance of the electroluminescent glass, the brightness of the lamps and the cooling capacity per unit time of the air conditioner in the sub-area are dynamically adjusted according to the standard office space data, including:

[0038] Randomly generate an initial population of R antelopes that meet the constraints, and initialize the current iteration number Time to 1;

[0039] Encode the initialized population, the encoding is expressed as ;in, Indicates the transmittance of electroluminescent glass, Indicates the light intensity of the lamp. Indicates the cooling capacity or heating capacity of the air conditioner per unit time;

[0040] The constraints are as follows:

[0041] ; ;in, Indicates the maximum brightness of the lamp; between the air conditioning cooling capacity and the air conditioning heating capacity, if one is non-zero, the other is 0; when the air conditioning cooling capacity is hour, ; When the air conditioning heating capacity is hour, ;

[0042] ; represents the first error range;

[0043] ; represents the second error range;

[0044] The fitness function is as follows:

[0045] ;

[0046] ;

[0047] ;

[0048] ;

[0049] in, Indicates the light transmittance The power of the electroluminescent glass is Indicates the power of the electroluminescent glass when the transmittance is 0%, Indicates the power of electroluminescent glass when the transmittance is 100%, Maximum light transmittance of electroluminescent glass; Indicates the light intensity of the lamp is The power of the lamp; Indicates the maximum power of the lamp. Indicates the maximum light intensity of the lamp; Indicates the cooling or heating capacity per unit time of the air conditioner. The power of the air conditioner, and Respectively represent the maximum power of air conditioning cooling and heating;

[0050] Calculate the fitness values ​​of R antelopes and sort them from small to large, retain X antelopes with the lowest fitness values, and update the remaining antelopes as parents;

[0051] If the current number of iterations Time ≥ the maximum number of iterations, the iteration is stopped and the antelope with the smallest fitness value is output as the dynamic adjustment solution, otherwise it returns to update the antelope.

[0052] Furthermore, the remaining antelopes are updated as parents, including the development phase, exploration phase, and predator hunting behavior:

[0053] The development phase formula is as follows:

[0054] ;

[0055] in, represents the parent antelope, Denotes the offspring antelope, Indicates the first movement speed customized by the antelope; represents the first random number, ; represents a Brownian motion random vector with a mean of 0 and a variance of Normal distribution of Indicates the location of the current optimal solution;

[0056] The exploration phase formula is as follows:

[0057] ;

[0058] in, Indicates the antelope's customized second movement speed. represents the Levy flight step length, represents the random perturbation of the Lévy flight step length, ;

[0059] The formula for predator hunting behavior is as follows:

[0060] ;

[0061] in, Indicates the third movement speed customized by the antelope. Indicates custom parameters. .

[0062] In the second aspect, the energy management and control system based on AI smart park applies the method described, including:

[0063] The data acquisition module divides the park into several sub-areas according to the number of office rooms in the target building; collects images of the facade of the target building, the light intensity and temperature of the indoor and outdoor areas of each sub-area at fixed time intervals t within a first preset time period;

[0064] The shadow recognition module identifies the shadow area of ​​the target building facade image and calculates the light-transmitting area of ​​each sub-area based on the shadow area;

[0065] The judgment module determines the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature and the indoor light intensity; determines the mapping relationship between the outdoor temperature and the indoor temperature of the sub-region; determines the influence of the outdoor temperature of the sub-region on the actual heat load of the air conditioner;

[0066] The dynamic adjustment module dynamically adjusts the light transmittance of the electroluminescent glass, the brightness of the lamps and the cooling capacity per unit time of the air conditioner in the sub-area within the second preset time period according to the standard office space data.

[0067] According to a third aspect, a computing device includes:

[0068] one or more processors;

[0069] The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method described.

[0070] The beneficial effects of the present invention are: by dynamically adjusting the light transmittance of the electroluminescent glass, the brightness of the lamps and the cooling capacity of the air conditioner in each sub-area, the purpose of high efficiency and energy saving is achieved; by intelligently controlling energy use, energy utilization efficiency is significantly improved, and manual intervention and energy waste are reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 It is a flow chart of the energy management and control method based on AI smart park of the present invention. DETAILED DESCRIPTION

[0072] The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that the discussion of these embodiments is only to enable those skilled in the art to better understand and implement the subject matter described herein, and the functions and arrangements of the elements discussed may be changed without departing from the scope of protection of the contents of this specification. Each example may omit, replace or add various processes or components as needed. In addition, the features described relative to some examples may also be combined in other examples.

[0073] like Figure 1 As shown in the figure, the energy management and control method based on AI smart park includes:

[0074] Step 1: Divide the park into several sub-areas according to the number of office rooms in the target building; collect images of the facade of the target building at fixed time intervals t within a first preset time period, and the light intensity and temperature of the indoor and outdoor areas of each sub-area;

[0075] Step 2, identifying the shadow area of ​​the target building facade image, and calculating the light transmission area of ​​each sub-area based on the shadow area;

[0076] Step 3, determine the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature and the indoor light intensity; determine the mapping relationship between the outdoor temperature and the indoor temperature of the sub-region; determine the influence of the outdoor temperature of the sub-region on the actual heat load of the air conditioner;

[0077] Step 4, dynamically adjusting the light transmittance of the electroluminescent glass, the brightness of the lamps and the cooling capacity per unit time of the air conditioner in the sub-area according to the standard office space data;

[0078] Among them, the standard office space data indicates that the temperature is , the light intensity is , and These are custom parameters.

[0079] It should be noted that the temperature and light intensity in the standard office space data are set according to demand. For example, in summer, the temperature is set to 26 degrees and the light intensity is 300 lux; in winter, the temperature is set to 30 degrees and the light intensity is 500 lux.

[0080] In one embodiment of the present invention, identifying a shadow area of ​​an image of a target building facade includes:

[0081] Graying the image of the target building facade at the kth moment in the first preset time period to obtain a graying matrix;

[0082] The elements of the grayscale matrix are classified by a preset classification threshold. If the element value of an element in the grayscale matrix is ​​greater than the preset classification threshold, the element value of the element is replaced by 1, otherwise it is replaced by 0, and a classification matrix is ​​obtained;

[0083] Connected region detection is performed on the classification matrix, and adjacent elements with element values ​​of 0 are classified as the same connected region; wherein adjacent means that the eight neighborhoods in the classification matrix are adjacent;

[0084] Calculate the number of elements in each connected area, compare the number of elements in all connected areas, find the connected area whose number of elements is greater than the preset threshold, and determine the area as a shadow occlusion area;

[0085] A shadow matrix is ​​obtained according to the shadow occlusion area, in which the element values ​​of the elements in the shadow occlusion area in the shadow matrix are all 0, and the element values ​​of the other elements are all 1.

[0086] It should be noted that the target building facade refers to the facade of a building in the park; the facade is blocked by other buildings in the park, which causes a shadow on the facade of the target building; causing some office spaces of the target building to have direct sunlight, but some office spaces outside to have no direct sunlight.

[0087] After the captured image is grayed out, the grayscale value of the shadow part is significantly lower than that of the side; however, some office spaces are vacant and dark inside, which causes the corresponding grayscale value to be lower than that of the side; therefore, the connected area is detected; generally speaking, if the elements of the connected area are significantly larger than the elements of the windows of an office space, then it means that the connected area is a shadow area; for example, the target building in the park usually includes several office spaces with the same structure, and the windows of an office space include 1000 pixels (elements), then when the pixels (elements) of the connected area are significantly larger than 1000 pixels (elements), the connected area can be determined as a shadow area.

[0088] In one embodiment of the present invention, calculating the light transmission area of ​​each sub-region according to the shadow region includes:

[0089] Performing manual semantic segmentation on the image of the exterior facade of the target building at the kth moment within the first preset time period, and marking each piece of electroluminescent glass in the image of the exterior facade of the target building;

[0090] Jointly marking the marked electro-luminescent glass and the sub-region where the electro-luminescent glass is located to obtain a reference matrix;

[0091] Overlap and align the reference matrix and the shadow matrix to obtain a composite matrix;

[0092] The element values ​​in the statistical composite matrix are elements of a feature vector constructed based on the labeling of the electroluminescent glass, the labeling of the sub-region and 0 or 1;

[0093] Compare the total number of elements of the electro-optical transmissive glass in the i-th sub-region with the number of elements of 0 and the number of elements of 1, respectively, to determine the proportion of the shadow-blocked area and the proportion of the illuminated area of ​​the electro-optical transmissive glass in the i-th sub-region;

[0094] The light-transmitting area of ​​the i-th sub-region is obtained according to the area of ​​the electro-light-transmitting glass in the i-th sub-region and the ratio of the illuminated area of ​​the electro-light-transmitting glass in the i-th sub-region.

[0095] In one embodiment of the present invention, an image of the target building facade captured at the time of vertical sunlight at noon is randomly selected; at this time, the target building facade is clear and easy to manually annotate; for example, each pixel of the facade glass of office space No. 709 on the 7th floor of the target building is annotated as ; Thus, the semantic segmentation matrix of the facade about the glass is obtained; this matrix is ​​overlapped with the shadow matrix at any time; if the element feature vector obtained by updating , then it is determined that the pixel point (element) indicates that there is a light point on the glass of the office space in Room 709 on the 7th floor; if the updated element feature vector , it is determined that the pixel point (element) indicates that there is a shadow point on the facade glass of the office space No. 709 on the 7th floor;

[0096] The target building includes several office spaces with the same structure. The area of ​​the facade glass of one of the office spaces is measured; then the number of light points and shadow points of the facade glass of office space No. 709 on the 7th floor are calculated; for example, if the number of light points is 500 and the number of shadow points is 500, it is determined that the facade glass of office space No. 709 on the 7th floor has half shadow area and half light area; then, based on the measured area of ​​the facade glass of the office space, the light-transmitting area of ​​the facade glass of office space No. 709 on the 7th floor is obtained.

[0097] In one embodiment of the present invention, determining the light transmission area of ​​the sub-region and the outdoor light intensity as well as the influence of the outdoor temperature on the indoor temperature and the indoor light intensity includes:

[0098] pass Determine the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor light intensity; among which, represents the influence of the light transmission area of ​​the ith sub-region, the outdoor light intensity, and the outdoor temperature on the indoor light intensity. represents the outdoor light intensity of the ith sub-area, represents the transmittance of the ith sub-region regulated by the electroluminescent glass, represents the light-transmitting area of ​​the ith sub-region, Indicates the spatial size of the i-th sub-region;

[0099] pass Determine the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature; among which, represents the influence of the light transmission area of ​​the ith sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature. Represents the light-to-heat conversion efficiency.

[0100] It should be noted that the photothermal conversion efficiency is generally 30%.

[0101] In one embodiment of the present invention, determining a mapping relationship between an outdoor temperature and an indoor temperature of a sub-region includes:

[0102] In a first preset time period, the tth sub-area is selected as the test area, the light transmittance of the electroluminescent glass in the test area is adjusted to 0, and the air conditioner is turned off; the temperature data of the room in the sub-area is collected at a fixed time interval t;

[0103] The outdoor temperature data of the test area at each time in the first preset time period and the indoor temperature data at each time are aligned, and the mapping relationship between the indoor and outdoor temperatures at each time in the test area is captured by the following formula. The mapping relationship formula is as follows:

[0104] ;in, Indicates the outdoor temperature of the test area. Indicates the temperature in the test area. Represents the thermal conductivity of the electroluminescent glass in the test area, represents the area of ​​the electroluminescent glass in the test area, represents the thermal conductivity of the wall of the test area, Indicates the wall area of ​​the test area in contact with the outdoors. is the specific heat capacity of air, represents the air density, Indicates the spatial size of the test area;

[0105] The temperature data of indoor and outdoor at each time in the first preset time period after the alignment are fitted by the least square method, so as to obtain the thermal conductivity of the electroluminescent glass in the test area and the thermal conductivity of the wall in the test area.

[0106] In one embodiment of the present invention, within the first preset time period, the temperature of the test area at four moments is 30 degrees, 33 degrees, 35 degrees and 32 degrees; the temperature outside the test area at the same moment is 38 degrees, 40 degrees, 43 degrees and 39 degrees; 30 degrees and 38 degrees, 33 degrees and 40 degrees, 35 degrees and 43 degrees, and 32 degrees and 39 degrees are aligned respectively; then the thermal conductivity of the electroluminescent glass in the test area and the thermal conductivity of the wall in the test area are substituted into the formula for fitting.

[0107] In one embodiment of the present invention, determining the influence of the outdoor temperature of the sub-region on the actual heat load of the air conditioner includes:

[0108] The standard operating temperature of the air conditioner in the i-th sub-area in the cooling and heating operation is obtained through the air conditioner manufacturer's label, as well as the maximum heat load per unit time of the air conditioner at the corresponding temperature;

[0109] pass Determine the effect of the outdoor temperature of the sub-area on the actual heat load of the air conditioner; Indicates the maximum cooling or heating capacity of the air conditioner per unit time. Indicates the maximum cooling capacity of the air conditioner at the standard cooling temperature. Indicates the current outside temperature. Indicates the standard outside temperature in cooling mode. represents the standard office space temperature, Indicates the maximum heating capacity of the air conditioner at the standard heating temperature. Standard outside temperature in heating mode, and denote the cooling mode sensitivity coefficient and the heating mode sensitivity coefficient respectively;

[0110] Collect the air inlet air temperature, outlet air temperature, outlet air velocity and air mass flow data of the air conditioner in the i-th sub-area indoor during the first time period;

[0111] pass Get the maximum cooling or heating capacity of the air conditioner per unit time; is the mass flow rate of air, is the specific heat capacity of air, Indicates the air temperature at the air inlet. Indicates the air temperature at the air outlet; obtained by fitting using the least squares method based on the actual maximum cooling or heating capacity per unit time of the air conditioner, the maximum cooling capacity of the air conditioner at the standard cooling temperature, and the maximum heating capacity of the air conditioner at the standard heating temperature and .

[0112] It should be noted that when In normal circumstances, the air conditioner is kept off, so it is not considered situation.

[0113] It should be noted that the standard operating temperature of the indoor air conditioner in the i-th sub-area during cooling and heating operations is obtained through the air-conditioning manufacturer's label or by consulting the manufacturer. Generally, the brand and model of the air conditioners in the target building are the same, and the standard operating temperature of the indoor air conditioner in the i-th sub-area during cooling and heating operations can be used to replace the standard operating temperature of the indoor air conditioners in cooling and heating operations of all sub-areas; the standard operating temperature is the optimal operating temperature of the air conditioner, which can be obtained by inquiring from the manufacturer or consulting the manual of the air conditioner.

[0114] In one embodiment of the present invention, when the air conditioner is performing cooling and heating operations, there is a standard operating temperature, including the maximum cooling capacity at this temperature; the actual cooling capacity or heating capacity within a period of time is calculated by collecting the air temperature of the air conditioner inlet, the air temperature of the air outlet, the air velocity of the air outlet and the air mass flow data in the sub-area room, and the least squares method is used to fit the actual cooling capacity or heating capacity. and .

[0115] In one embodiment of the present invention, dynamically adjusting the light transmittance of the electroluminescent glass, the brightness of the lamps and the cooling capacity per unit time of the air conditioner in the sub-area according to the standard office space data includes:

[0116] Randomly generate an initial population of R antelopes that meet the constraints, and initialize the current iteration number Time to 1;

[0117] Encode the initialized population, the encoding is expressed as ;in, Indicates the transmittance of electroluminescent glass, Indicates the light intensity of the lamp. Indicates the cooling capacity or heating capacity of the air conditioner per unit time;

[0118] The constraints are as follows:

[0119] ; ;in, Indicates the maximum brightness of the lamp; between the air conditioning cooling capacity and the air conditioning heating capacity, if one is non-zero, the other is 0; when the air conditioning cooling capacity is hour, ; When the air conditioning heating capacity is hour, ;

[0120] ; represents the first error range;

[0121] ; represents the second error range;

[0122] The fitness function is as follows:

[0123] ;

[0124] ;

[0125] ;

[0126] ;

[0127] in, Indicates the light transmittance The power of the electroluminescent glass is Indicates the power of the electroluminescent glass when the transmittance is 0%, Indicates the power of electroluminescent glass when the transmittance is 100%, Maximum light transmittance of electroluminescent glass; Indicates the light intensity of the lamp is The power of the lamp; Indicates the maximum power of the lamp. Indicates the maximum light intensity of the lamp; Indicates the cooling or heating capacity per unit time of the air conditioner. The power of the air conditioner, and Respectively represent the maximum power of air conditioning cooling and heating;

[0128] Calculate the fitness values ​​of R antelopes and sort them from small to large, retain X antelopes with the lowest fitness values, and update the remaining antelopes as parents;

[0129] If the current number of iterations Time ≥ the maximum number of iterations, the iteration is stopped and the antelope with the smallest fitness value is output as the dynamic adjustment solution, otherwise it returns to update the antelope.

[0130] For example, during cooling operation, the maximum cooling capacity at that moment is obtained according to the outdoor temperature at that moment. If the maximum power of the cooling operation is 2000w, the actual power when the cooling capacity is Q can be obtained by the following formula:

[0131] ;

[0132] ;

[0133] in, and They represent the energy efficiency ratio at the standard outdoor temperature and the energy efficiency ratio at the current outdoor temperature respectively;

[0134] Since the maximum cooling power is 2000w, we get ;pass Get the power of the air conditioner when the cooling capacity per unit time is Q;

[0135] By the same token, the power of the air conditioner when the heating amount per unit time is Q.

[0136] In one embodiment of the present invention, the remaining antelopes are used as parent updates, including the development phase, exploration phase, and predator hunting behavior:

[0137] The development phase formula is as follows:

[0138] ;

[0139] in, represents the parent antelope, Denotes the offspring antelope, Indicates the first movement speed customized by the antelope; represents the first random number, ; represents a Brownian motion random vector with a mean of 0 and a variance of Normal distribution of Indicates the location of the current optimal solution;

[0140] The exploration phase formula is as follows:

[0141] ;

[0142] in, Indicates the antelope's customized second movement speed. represents the Levy flight step length, represents the random perturbation of the Lévy flight step length, ;

[0143] The formula for predator hunting behavior is as follows:

[0144] ;

[0145] in, Indicates the third movement speed customized by the antelope. Indicates custom parameters. .

[0146] In one embodiment of the present invention, the implementation of the method of the present invention is all driven by AI intelligence.

[0147] The energy management and control system based on AI smart park, applying the method described, includes:

[0148] The data acquisition module divides the park into several sub-areas according to the number of office rooms in the target building; collects images of the facade of the target building, the light intensity and temperature of the indoor and outdoor areas of each sub-area at fixed time intervals t within a first preset time period;

[0149] The shadow recognition module identifies the shadow area of ​​the target building facade image and calculates the light-transmitting area of ​​each sub-area based on the shadow area;

[0150] The judgment module determines the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature and the indoor light intensity; determines the mapping relationship between the outdoor temperature and the indoor temperature of the sub-region; determines the influence of the outdoor temperature of the sub-region on the actual heat load of the air conditioner;

[0151] The dynamic adjustment module dynamically adjusts the light transmittance of the electroluminescent glass, the brightness of the lamps and the cooling capacity per unit time of the air conditioner in the sub-area within the second preset time period according to the standard office space data.

[0152] A computing device comprising:

[0153] one or more processors;

[0154] The storage device is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method described.

[0155] The above describes an embodiment of the present embodiment, but the present embodiment is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present embodiment, ordinary technicians in this field can also make many forms, all of which are within the protection of the present embodiment.

Claims

1. The energy management and control method based on AI smart park is characterized by: include: Step 1: Divide the park into several sub-areas according to the number of office rooms in the target building; collect images of the facade of the target building at fixed time intervals t within a first preset time period, and the light intensity and temperature of the indoor and outdoor areas of each sub-area; Step 2, identifying the shadow area of ​​the target building facade image, and calculating the light transmission area of ​​each sub-area based on the shadow area; Step 3, determine the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature and the indoor light intensity; determine the mapping relationship between the outdoor temperature and the indoor temperature of the sub-region; determine the influence of the outdoor temperature of the sub-region on the actual heat load of the air conditioner; Step 4: dynamically adjust the light transmittance of the electroluminescent glass, the brightness of the lamps and the cooling capacity per unit time of the air conditioner in the sub-area according to the standard office space data; wherein the standard office space data indicates that the temperature is , the light intensity is , and All are custom parameters; dynamically adjusted, including: Randomly generate an initial population of R antelopes that meet the constraints, and initialize the current iteration number Time to 1; Encode the initialized population, the encoding is expressed as ;in, Indicates the transmittance of electroluminescent glass, Indicates the light intensity of the lamp. Indicates the cooling capacity or heating capacity of the air conditioner per unit time; The constraints are as follows: ; ;in, Indicates the maximum light intensity of the lamp; between the air conditioning cooling capacity and the air conditioning heating capacity, if one is non-zero, the other is 0; when the air conditioning cooling capacity is hour, ; When the air conditioning heating capacity is hour, ; ;in, represents the first error range; ;in, represents the second error range; is the specific heat capacity of air, Indicates the air density; The fitness function is as follows: ;in, Indicates the light transmittance The power of the electroluminescent glass is Indicates the light intensity of the lamp is The power of the lamp is Indicates the cooling or heating capacity per unit time of the air conditioner. The power of the air conditioner; ;in, Indicates the power of the electroluminescent glass when the transmittance is 0%, Indicates the power of electroluminescent glass when the transmittance is 100%, Indicates the maximum light transmittance of electroluminescent glass; ;in, Indicates the maximum power of the lamp; ;in, and Respectively represent the maximum power of air conditioning cooling and heating, Indicates the maximum cooling capacity of the air conditioner at the standard cooling temperature. Indicates the maximum heating capacity of the air conditioner at the standard heating temperature. Indicates the actual maximum cooling or heating capacity of the air conditioner per unit time; Calculate the fitness values ​​of R antelopes and sort them from small to large, retain X antelopes with the lowest fitness values, and update the remaining antelopes as parents; If the current number of iterations Time ≥ the maximum number of iterations, the iteration is stopped and the antelope with the smallest fitness value is output as the dynamic adjustment solution, otherwise it returns to update the antelope.

2. The energy management and control method based on AI smart park according to claim 1 is characterized in that: Identify shadow areas on the target building facade image, including: Grayscale the image of the target building facade at the kth moment in the first preset time period to obtain a grayscale matrix; The elements of the grayscale matrix are classified by a preset classification threshold. If the element value of an element in the grayscale matrix is ​​greater than the preset classification threshold, the element value of the element is replaced by 1, otherwise it is replaced by 0, and a classification matrix is ​​obtained; Connected region detection is performed on the classification matrix, and adjacent elements with element values ​​of 0 are classified as the same connected region; wherein adjacent means that the eight neighborhoods in the classification matrix are adjacent; Calculate the number of elements in each connected area, compare the number of elements in all connected areas, find the connected area whose number of elements is greater than the preset threshold, and determine the area as a shadow occlusion area; A shadow matrix is ​​obtained according to the shadow occlusion area, in which the element values ​​of the elements in the shadow occlusion area in the shadow matrix are all 0, and the element values ​​of the other elements are all 1.

3. The energy management and control method based on AI smart park according to claim 1 is characterized in that: Calculate the light transmission area of ​​each sub-area based on the shadow area, including: Performing manual semantic segmentation on the image of the exterior facade of the target building at the kth moment within the first preset time period, and marking each piece of electroluminescent glass in the image of the exterior facade of the target building; Jointly marking the marked electro-luminescent glass and the sub-region where the electro-luminescent glass is located to obtain a reference matrix; Overlap and align the reference matrix and the shadow matrix to obtain a composite matrix; The element values ​​in the statistical composite matrix are elements of a feature vector constructed based on the labeling of the electroluminescent glass, the labeling of the sub-region and 0 or 1; Compare the total number of elements of the electro-optical transmissive glass in the i-th sub-region with the number of elements of 0 and the number of elements of 1, respectively, to determine the proportion of the shadow-blocked area and the proportion of the illuminated area of ​​the electro-optical transmissive glass in the i-th sub-region; The light-transmitting area of ​​the i-th sub-region is obtained according to the area of ​​the electro-light-transmitting glass in the i-th sub-region and the ratio of the illuminated area of ​​the electro-light-transmitting glass in the i-th sub-region.

4. The energy management and control method based on AI smart park according to claim 3 is characterized in that: Determine the light transmission area of ​​the sub-area, the outdoor light intensity, and the impact of the outdoor temperature on the indoor temperature and indoor light intensity, including: pass Determine the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor light intensity; among which, represents the influence of the light transmission area of ​​the ith sub-region, the outdoor light intensity, and the outdoor temperature on the indoor light intensity. represents the outdoor light intensity of the ith sub-area, represents the transmittance of the ith sub-region regulated by the electroluminescent glass, represents the light-transmitting area of ​​the ith sub-region, Indicates the spatial size of the i-th sub-region; pass Determine the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature; among which, represents the influence of the light transmission area of ​​the ith sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature. Represents the light-to-heat conversion efficiency.

5. The energy management and control method based on AI smart park according to claim 1 is characterized in that: Determine the mapping relationship between the outdoor temperature and the indoor temperature of the sub-area, including: In a first preset time period, the tth sub-area is selected as the test area, the light transmittance of the electroluminescent glass in the test area is adjusted to 0, and the air conditioner is turned off; the temperature data of the room in the sub-area is collected at a fixed time interval t; The outdoor temperature data of the test area at each time in the first preset time period and the indoor temperature data at each time are aligned, and the mapping relationship between the indoor and outdoor temperatures at each time in the test area is captured by the following formula. The mapping relationship formula is as follows: ;in, Indicates the outdoor temperature of the test area. Indicates the temperature in the test area. Represents the thermal conductivity of the electroluminescent glass in the test area, represents the area of ​​the electroluminescent glass in the test area, represents the thermal conductivity of the wall of the test area, Indicates the wall area of ​​the test area in contact with the outdoors. is the specific heat capacity of air, represents the air density, Indicates the spatial size of the test area; The temperature data of indoor and outdoor at each time in the first preset time period after the alignment are fitted by the least square method, so as to obtain the thermal conductivity of the electroluminescent glass in the test area and the thermal conductivity of the wall in the test area.

6. The energy management and control method based on AI smart park according to claim 3 is characterized in that: Determine the effect of the sub-zone outdoor temperature on the actual heat load of the air conditioner, including: The standard operating temperature of the air conditioner in the i-th sub-area in the cooling and heating operations, as well as the maximum heat load per unit time of the air conditioner under the standard temperature, are obtained through the air conditioner manufacturer's label; pass Determine the effect of the outdoor temperature of the sub-area on the actual heat load of the air conditioner; Indicates the maximum cooling or heating capacity of the air conditioner per unit time. Indicates the maximum cooling capacity of the air conditioner at the standard cooling temperature. Indicates the current outside temperature. Indicates the standard outside temperature in cooling mode. represents the standard office space temperature, Indicates the maximum heating capacity of the air conditioner at the standard heating temperature. Standard outside temperature in heating mode, and denote the cooling mode sensitivity coefficient and the heating mode sensitivity coefficient respectively; Collect the air inlet air temperature, outlet air temperature, outlet air velocity and air mass flow data of the air conditioner in the i-th sub-area indoor during the first time period; pass Get the maximum cooling or heating capacity of the air conditioner per unit time; is the mass flow rate of air, Indicates the air velocity at the air outlet. Indicates the air temperature at the air inlet. Indicates the air temperature at the air outlet; obtained by fitting using the least squares method based on the actual maximum cooling or heating capacity per unit time of the air conditioner, the maximum cooling capacity of the air conditioner at the standard cooling temperature, and the maximum heating capacity of the air conditioner at the standard heating temperature and .

7. The energy management and control method based on AI smart park according to claim 1 is characterized in that: Update the remaining antelope as the parent generation, including the development phase, exploration phase, and predator hunting behavior: The development phase formula is as follows: ； in, represents the parent antelope, Denotes the offspring antelope, Indicates the first movement speed customized by the antelope; represents the first random number, ; represents a Brownian motion random vector with a mean of 0 and a variance of Normal distribution of Indicates the location of the current optimal solution; The exploration phase formula is as follows: ； in, Indicates the antelope's customized second movement speed. represents the Levy flight step length, represents the random perturbation of the Lévy flight step length, ; The formula for predator hunting behavior is as follows: ； in, Indicates the third movement speed customized by the antelope. Indicates custom parameters. .

8. An energy management and control system based on AI smart park, applying the method as described in any one of claims 1 to 7, characterized in that: include: The data acquisition module divides the park into several sub-areas according to the number of office rooms in the target building; collects images of the facade of the target building, the light intensity and temperature of the indoor and outdoor areas of each sub-area at fixed time intervals t within a first preset time period; The shadow recognition module identifies the shadow area of ​​the target building facade image and calculates the light-transmitting area of ​​each sub-area based on the shadow area; The judgment module determines the influence of the light transmission area of ​​the sub-region, the outdoor light intensity, and the outdoor temperature on the indoor temperature and the indoor light intensity; determines the mapping relationship between the outdoor temperature and the indoor temperature of the sub-region; determines the influence of the outdoor temperature of the sub-region on the actual heat load of the air conditioner; The dynamic adjustment module dynamically adjusts the light transmittance of the electroluminescent glass, the brightness of the lamps and the cooling capacity per unit time of the air conditioner in the sub-area according to the standard office space data; wherein the standard office space data indicates that the temperature is , the light intensity is , and All are custom parameters; dynamically adjusted, including: Randomly generate an initial population of R antelopes that meet the constraints, and initialize the current iteration number Time to 1; Encode the initialized population, the encoding is expressed as ;in, Indicates the transmittance of electroluminescent glass, Indicates the light intensity of the lamp. Indicates the cooling capacity or heating capacity of the air conditioner per unit time; The constraints are as follows: ; ;in, Indicates the maximum light intensity of the lamp; between the air conditioning cooling capacity and the air conditioning heating capacity, if one is non-zero, the other is 0; when the air conditioning cooling capacity is hour, ; When the air conditioning heating capacity is hour, ; ;in, represents the first error range; ;in, represents the second error range; is the specific heat capacity of air, Indicates the air density; The fitness function is as follows: ;in, Indicates the light transmittance The power of the electroluminescent glass is Indicates the light intensity of the lamp is The power of the lamp is Indicates the cooling or heating capacity per unit time of the air conditioner. The power of the air conditioner; ;in, Indicates the power of the electroluminescent glass when the transmittance is 0%, Indicates the power of electroluminescent glass when the transmittance is 100%, Indicates the maximum light transmittance of electroluminescent glass; ;in, Indicates the maximum power of the lamp; ;in, and Respectively represent the maximum power of air conditioning cooling and heating, Indicates the maximum cooling capacity of the air conditioner at the standard cooling temperature. Indicates the maximum heating capacity of the air conditioner at the standard heating temperature. Indicates the actual maximum cooling or heating capacity of the air conditioner per unit time; Calculate the fitness values ​​of R antelopes and sort them from small to large, retain X antelopes with the lowest fitness values, and update the remaining antelopes as parents; If the current number of iterations Time ≥ the maximum number of iterations, the iteration is stopped and the antelope with the smallest fitness value is output as the dynamic adjustment solution, otherwise it returns to update the antelope.

9. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in any one of claims 1 to 7.

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