Intelligent building management system

Abstract

The invention discloses an intelligent building management system, and relates to the technical field of intelligent management, three groups of algorithm units cooperate with one another to jointly form a core architecture of the intelligent building management system, and a plurality of influence factors such as a total electrical load Pload, a seasonal adjustment coefficient Sa and an energy efficiency value Cop of an air conditioning system are comprehensively considered. According to the method, the adjusted power distribution load Pdl in the building is calculated, the power distribution of the air conditioning system and the lighting system in the building can be dynamically adjusted by comparing the adjusted power distribution load Pdl at different time points with the rated load Y, it is ensured that the power system is not overloaded, and scientific and reliable data support is provided for the power distribution in the building; and by introducing a seasonal adjustment coefficient Sa, power resource distribution in the power distribution module in the building intelligent management system can be dynamically adjusted in different seasons according to seasonal characteristics, so that power consumption in the building is always in an optimal state, and energy waste is reduced.

Description

Technical Field

[0001] The present invention relates to the field of intelligent management technology, and in particular to a building intelligent management system. Background Art

[0002] Architecture is a general term for buildings and structures. It is an artificial environment created by people to meet the needs of social life, using the material and technological means they have mastered and applying certain scientific laws and aesthetic principles.

[0003] The most indispensable and important parts of a building are the air-conditioning system and the lighting system. Currently, most building management in existing technologies is still mainly carried out manually through property management. However, it is difficult for manual management to monitor and intelligently manage the air-conditioning system and lighting system in the building according to the changes in the air-conditioning system and lighting system in the building in different seasons, and it is difficult to dynamically allocate and adjust power resources according to the power load.

[0004] Therefore, there is an urgent need for a building intelligent management system to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a building intelligent management system to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a building intelligent management system, comprising: The data collection module is used to obtain the power consumption Pac of the air conditioning system, the initial set lighting power Pa, and the total power load P through the power distribution room in the building. load , and real-time voltage and current values, and upload them to the database; The current indoor temperature Tin and the current outdoor temperature Tout are obtained in real time through indoor and outdoor temperature sensors and uploaded to the database; The data preprocessing module is used to decode and preprocess the data information in the database to obtain the parameters involved in the calculation in the calculation processing module; A calculation processing module is used to substitute the parameter values ​​obtained after decoding preprocessing into the air conditioning system energy efficiency value algorithm unit and the lighting system power value algorithm unit to calculate the air conditioning system energy efficiency value Cop and the system power value Pac, and input the calculated air conditioning system energy efficiency value Cop and the lighting system power value Pac as input parameters into the distribution load value algorithm unit to calculate the adjusted distribution load Pdl, and upload it to the database; The power distribution module is used to distribute power resources.

[0007] Optionally, the power resource allocation of the power distribution module specifically includes: The rated load of the power distribution system is set as Y in the database based on the power of the lighting and air conditioning equipment in the building, and the calculated adjusted distribution load Pdl is compared with the rated load Y; When the calculated adjusted distribution load Pdl is greater than the rated load Y, the power distribution system in the power distribution module reduces the power consumption of air conditioning and lighting in the building; When the calculated adjusted distribution load Pdl is less than the rated load Y, the power distribution system in the power distribution module increases the power consumption of air conditioning and lighting in the building; The tools used by the data collection module include indoor temperature sensors and outdoor temperature sensors.

[0008] Optionally, the calculation and processing module includes an air conditioning system energy efficiency value algorithm unit, a lighting system power value algorithm unit, and a distribution load value algorithm unit.

[0009] Optionally, the air conditioning system energy efficiency value algorithm unit is as follows: ; in: Cop represents the energy efficiency value of the air conditioning system; Pac represents the power consumption of the air conditioning system; Tac stands for adjusted indoor temperature; Tout represents the current outdoor temperature, which is obtained in real time by the outdoor temperature sensor; In the calculation formula: This part takes the absolute value of the adjusted indoor temperature Tac minus the original current outdoor temperature Tout, which represents the temperature difference that the air conditioning system needs to overcome, that is, the difference between the indoor temperature and the outdoor temperature. The larger the temperature difference, the more power the air conditioning system needs to consume to maintain the indoor temperature. The temperature difference in this part is inversely proportional to the energy efficiency value Cop of the air conditioning system. When the value of this part decreases, the indoor and outdoor temperature difference is small, and the air conditioning system energy efficiency value Cop increases. On the contrary, when When the value of this part increases, the energy efficiency value Cop of the air conditioning system decreases.

[0010] Optionally, the calculation formula of the adjusted indoor temperature Tac is as follows: ; in: Tac stands for adjusted indoor temperature; Tin represents the current indoor temperature, which is obtained in real time by the indoor temperature sensor; Tout represents the current outdoor temperature; Tset represents the target temperature set by the air conditioner, which is the target temperature set in the building that can make the human body feel comfortable; k represents the weight coefficient, which is used to indicate the adjustment efficiency of the air conditioning system. This coefficient controls the adjustment speed and accuracy of the temperature difference. The value range of k is between 0 and 1, and it can be self-adjusted in the building intelligent management system: When k=1, it means that the air conditioning system is adjusted completely according to the temperature difference, so that the adjusted indoor temperature Tac tends to the target temperature Tset set by the set temperature air conditioner; When 0<k<1, it means that the air conditioning system does not react directly, but slows down the temperature adjustment after responding to the temperature difference; When k = 0, it means that the air conditioner has no response and does not make temperature adjustments; In the calculation formula: This part indicates that the average value is obtained by adding the current indoor temperature Tin to the current outdoor temperature Tout and dividing it by 2, which represents a basic ambient temperature. The value in this part indicates that the air conditioner will maintain the middle value between the indoor and outdoor temperatures when there is no set temperature deviation; This part represents that the air conditioning system will adjust the air conditioning temperature according to the difference between the current indoor temperature Tin and the target temperature Tset set by the air conditioning, that is, by calculating the difference between the two and multiplying it by the weight coefficient k, the amplitude of the air conditioning adjustment is determined.

[0011] Optionally, the lighting system power value algorithm unit is as follows: ; in: Pac represents the lighting system power value, which is the adjusted lighting power value; Cop represents the energy efficiency value of the air conditioning system; Pa represents the initial set lighting power, which is the original set lighting power without any adjustment factors; t represents the current time in hours, ranging from 0 to 24; D stands for sunshine duration, in hours, indicating the duration of sunlight exposure in a day; S represents the current season, ranging from 1 to 4, with spring being 1, summer being 2, autumn being 3, and winter being 4; In the calculation formula: This part indicates the relationship between the current time t and the sunshine duration D, and affects the adjustment of lighting power. During the day, the lighting demand is low due to natural light, and at night, the lighting demand increases; When tD is close to zero, the daylight hours are longer, and since the natural light from the outside provides sufficient illumination, the demand for artificial lighting is reduced, and the calculated lighting system power value Pac will be significantly reduced; When tD is close to 24, the night is longer. As night falls, the lighting demand increases, and the calculated lighting system power value Pac will also increase. This part is a negatively correlated term in the formula calculation, which means that the closer the current time t is to night, the larger the calculated lighting system power value Pac is; This part represents the seasonal adjustment factor that affects the calculation of the lighting system power value Pac, that is, adjusting the lighting power according to the season to adapt to the impact of different seasons on lighting needs.

[0012] Optionally, the power distribution load value algorithm unit is as follows: ; in: Pdl represents the adjusted distribution load; P load Represents the total electricity load; V represents the current voltage; I represents the current; Eb represents battery energy storage; Sa represents the seasonal adjustment coefficient; Cop represents the energy efficiency value of the air conditioning system; Pac represents the lighting system power value; Pa represents the initial set lighting power; In the calculation formula: This part is passed through the total power load P load Multiply the current voltage V divided by the current current I to calculate the actual demand of the current power load in the distribution system; This part expresses the influence of the building intelligent management system on the distribution load Pdl adjusted by the calculation result by flexibly adjusting the battery energy storage Eb according to seasonal changes through the product of the battery energy storage Eb and the seasonal coefficient Sa; The ratio of this part represents the adjustment ratio of the lighting system in the building. This ratio reflects the degree of adjustment of the lighting power and, when added with the energy efficiency value Cop of the air-conditioning system, jointly affects the adjusted distribution load Pdl.

[0013] Optionally, the calculation formula of the seasonal adjustment coefficient Sa is as follows: ; in: Sa represents the seasonal adjustment factor, which is used to adjust the value of battery energy storage Eb according to seasonal changes; S stands for the current season; α is an adjustment coefficient that represents the impact of seasonal changes on battery energy storage efficiency. Its value range is between 0.1 and 0.5, and it can be self-adjusted with the building intelligent management system.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention forms the core architecture of the building intelligent management system through the cooperation of three sets of algorithm units, which comprehensively consider the total power load P load , seasonal adjustment coefficient Sa, air-conditioning system energy efficiency value Cop, lighting system power value Pac and other influencing factors are used to calculate the adjusted distribution load Pdl in the building. By comparing the adjusted distribution load Pdl at different time points with the rated load Y, the power distribution of the air-conditioning system and the lighting system in the building can be dynamically adjusted to reduce the impact of power load fluctuations on system stability, ensure that the power system is not overloaded, and avoid unstable power supply. Especially when the air-conditioning efficiency is low, the system can automatically adjust the lighting power to avoid excessive energy consumption, providing scientific and reliable data support for power distribution in the building.

[0015] The present invention introduces a seasonal adjustment coefficient Sa into the lighting system power value algorithm unit and the distribution load value algorithm unit. It can dynamically adjust the power resource allocation in the power distribution module in the building intelligent management system in different seasons according to seasonal characteristics, so that the power consumption in the building is always in an optimal state. While ensuring the comfort of people in the building and energy efficiency, energy waste is minimized, and the present invention is worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of a building intelligent management system; Figure 2 The figure is a schematic diagram of the overall structure of a building intelligent management system. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] For example, see Figure 1 to Figure 2The present invention provides a building intelligent management system, comprising: The data collection module is used to obtain the power consumption Pac of the air conditioning system, the initial set lighting power Pa, and the total power load P through the power distribution room in the building. load , and real-time voltage and current values, and upload them to the database; The current indoor temperature Tin and the current outdoor temperature Tout are obtained in real time through indoor and outdoor temperature sensors and uploaded to the database; The data preprocessing module is used to decode and preprocess the data information in the database to obtain the parameters involved in the calculation in the calculation processing module; A calculation processing module is used to substitute the parameter values ​​obtained after decoding preprocessing into the air conditioning system energy efficiency value algorithm unit and the lighting system power value algorithm unit to calculate the air conditioning system energy efficiency value Cop and the system power value Pac, and input the calculated air conditioning system energy efficiency value Cop and the lighting system power value Pac as input parameters into the distribution load value algorithm unit to calculate the adjusted distribution load Pdl, and upload it to the database; Power distribution module, used to distribute power resources: According to the power of the lighting and air-conditioning equipment in the building, the rated load of the power distribution system is set as Y in the database, and the calculated adjusted distribution load Pdl is compared with the rated load Y; When the calculated adjusted distribution load Pdl is greater than the rated load Y, the power distribution system in the power distribution module reduces the power consumption of air conditioning and lighting in the building; When the calculated adjusted distribution load Pdl is less than the rated load Y, the power consumption of air conditioning and lighting in the building is increased through the power distribution system in the power distribution module.

[0019] In this embodiment: The present invention comprehensively considers the total power load P load , seasonal adjustment coefficient Sa, air-conditioning system energy efficiency value Cop and other influencing factors are taken into account to calculate the adjusted distribution load Pdl in the building. By comparing the adjusted distribution load Pdl at different time points with the rated load Y, the power distribution in the building can be dynamically adjusted to reduce the impact of power load fluctuations on system stability, to ensure that the power system is not overloaded, to avoid unstable power supply, and to ensure that the power consumption in the building is always in the optimal state. Especially when the air-conditioning efficiency is low, the system can automatically adjust the lighting power to avoid excessive energy consumption, providing scientific and reliable data support for the allocation of power resources in the building.

[0020] See also Figure 1 to Figure 2 , the energy efficiency value algorithm unit of the air conditioning system is as follows:

[0021] in: Cop represents the energy efficiency value of the air conditioning system; Pac represents the power consumption of the air conditioning system; Tac stands for adjusted indoor temperature; Tout represents the current outdoor temperature, which is obtained in real time by the outdoor temperature sensor; In the calculation formula: This part takes the absolute value of the adjusted indoor temperature Tac minus the original current outdoor temperature Tout, which represents the temperature difference that the air conditioning system needs to overcome, that is, the difference between the indoor temperature and the outdoor temperature. The larger the temperature difference, the more power the air conditioning system needs to consume to maintain the indoor temperature. The temperature difference in this part is inversely proportional to the energy efficiency value Cop of the air conditioning system. When the value of this part decreases, the indoor and outdoor temperature difference is small, which will increase the energy efficiency value Cop of the air conditioning system. When the value of this part increases, the energy efficiency value Cop of the air conditioning system will be reduced; The calculation formula of the adjusted indoor temperature Tac is as follows: ; in: Tac stands for adjusted indoor temperature; Tin represents the current indoor temperature, which is obtained in real time by the indoor temperature sensor; Tout represents the current outdoor temperature; Tset represents the target temperature set by the air conditioner, which is the target temperature set in the building that can make the human body feel comfortable; k represents the weight coefficient, which is used to indicate the adjustment efficiency of the air conditioning system. This coefficient controls the adjustment speed and accuracy of the temperature difference. The value range of k is between 0 and 1, and it can be self-adjusted in the building intelligent management system: When k=1, it means that the air conditioning system is adjusted completely according to the temperature difference, so that the adjusted indoor temperature Tac tends to the target temperature Tset set by the set temperature air conditioner; When 0<k<1, it means that the air conditioning system does not react directly, but slows down the temperature adjustment after responding to the temperature difference; When k = 0, it means that the air conditioner has no response and does not make temperature adjustments; For example: In the summer, when the temperature fluctuates greatly, especially when the temperature difference between day and night is large, the air conditioner needs a stronger response to keep the indoor temperature stable. The intelligent management system will set the k value to a larger value (such as 0.7 to 1) to ensure that the air conditioner adjusts the indoor temperature to a comfortable range in a short time. In winter, when the temperature fluctuation is small, the temperature difference between morning and evening is small, and the indoor temperature is easier to maintain. The building intelligent management system will set the k value to a smaller value (such as 0.4 to 0.6) to save energy. In indoor environments that require a high degree of comfort (e.g., office buildings, hospitals, etc.), where precise and rapid temperature adjustment is required, the building intelligent management system will set the k value to a larger value to ensure that the air conditioner quickly adjusts the temperature to a comfortable range; In areas with low comfort requirements or energy-saving requirements (such as warehouses or storage rooms), the building intelligent management system will set the k value to a smaller value to reduce unnecessary energy consumption, which is beneficial to energy conservation and environmental protection; In the calculation formula: This part indicates that the average value is obtained by adding the current indoor temperature Tin to the current outdoor temperature Tout and dividing it by 2. It represents a basic ambient temperature, which is the starting point of the air conditioning temperature adjustment. The value in this part reflects the midpoint between the indoor and outdoor temperatures that the air conditioner will maintain when there is no set temperature deviation. This part represents that the air conditioning system will adjust the air conditioning temperature according to the difference between the current indoor temperature Tin and the target temperature Tset set by the air conditioning, that is, by calculating the difference between the two and multiplying it by the weight coefficient k, the amplitude of the air conditioning adjustment is determined.

[0022] In this embodiment: The air conditioning energy efficiency value algorithm unit comprehensively considers multiple influencing factors such as the power consumption Pac of the air conditioning system, the indoor and outdoor temperature difference, seasonal factors, and the environment in the building, and calculates the air conditioning system energy efficiency value Cop. It can dynamically adjust the indoor temperature based on the real-time monitoring of indoor and outdoor temperature changes and air conditioning energy efficiency, optimize the power usage of the air conditioning system, and maximize energy utilization efficiency. By evaluating the air conditioning system energy efficiency value Cop calculated at different time points, the building intelligent management system can monitor the operating efficiency of the air conditioning system in real time, discover and eliminate inefficient operating modes. For example, if the air conditioning system energy efficiency value COP suddenly drops, it means that the air conditioning system may be inefficient due to certain factors (such as drastic changes in external temperature, system failure or load imbalance). The system can automatically adjust to avoid long-term inefficient operation.

[0023] The building intelligent management system can also make long-term predictions based on the Cop data of different air-conditioning system energy efficiency values ​​at multiple time points, plan the operating time and load of the air-conditioning, and reasonably schedule the working cycle of the air-conditioning system. For example, in some specific seasonal changes (such as in office buildings in summer), the system can adjust the temperature in advance so that the air-conditioning always maintains a high air-conditioning system energy efficiency value Cop when working, thereby reducing the demand for building energy supply and providing scientific and reliable data support for the management and decision-making of the air-conditioning system in the building intelligent management system.

[0024] See also Figure 1 to Figure 2 , the lighting system power value algorithm unit is as follows: ; in: Pac represents the lighting system power value, which is the adjusted lighting power value; Cop represents the energy efficiency value of the air conditioning system; Pa represents the initial set lighting power, which is the original set lighting power without any adjustment factors; t represents the current time in hours, ranging from 0 to 24; D stands for sunshine duration, in hours, indicating the duration of sunlight exposure in a day; S represents the current season, ranging from 1 to 4, with spring being 1, summer being 2, autumn being 3, and winter being 4; In the calculation formula: This part indicates the relationship between the current time t and the sunshine duration D, and affects the adjustment of lighting power. During the day, the lighting demand is low due to natural light, and at night, the lighting demand increases; When tD is close to zero, the daylight hours are longer, such as at noon when the sunshine hours are longer. Since the natural light sources outside provide sufficient light, the demand for artificial lighting is reduced, and the calculated lighting system power value Pac will be significantly reduced; When tD is close to 24, the night is longer. As night falls, the lighting demand increases, and the calculated lighting system power value Pac will also increase. This part is a negatively correlated term in the formula calculation, which means that the closer the current time t is to night, the larger the calculated lighting system power value Pac is; This part represents the seasonal adjustment factor that affects the calculation of the lighting system power value Pac, that is, adjusting the lighting power according to the season to adapt to the impact of different seasons on lighting needs, as follows: Spring, S=1, the daylight hours are moderate, the external light is strong, and the lighting demand is low. The value of this seasonal adjustment factor is 0.8, which is less than 1, and the calculated lighting system power value Pac will decrease; In summer, S=2, the daytime is the longest and the light is the strongest. The value of this part of the seasonal adjustment factor is 1. As a seasonal adjustment factor, the value is 1, which will not have a seasonal impact on the calculated lighting system power value Pac; In autumn, S=3, the daylight hours begin to shorten, the light intensity gradually weakens, and the lighting demand increases. The value of this seasonal adjustment factor is 1.2, and the calculated lighting system power value Pac will increase; In winter, S=4. The daytime is shortest, the light intensity is weakest, and the lighting demand is the greatest. The value of this seasonal adjustment factor is 1.4, and the calculated lighting system power value Pac will increase significantly.

[0025] In this embodiment: The lighting system power value algorithm unit comprehensively considers multiple influencing factors such as sunshine duration D, current season S and the initially set lighting power Pa, and calculates the lighting system power value Pac. By evaluating the lighting system power value Pac at different time points in different seasons, the lighting power in the building can be dynamically adjusted so that the building intelligent management system can reduce unnecessary lighting energy consumption. In particular, when there is sufficient sunlight or the air-conditioning system is operating efficiently, the system will automatically reduce unnecessary lighting power, and increase the lighting power of public areas in the building during periods that require more artificial lighting (such as at night or in winter), thereby improving overall energy efficiency.

[0026] In addition, the air-conditioning system energy efficiency value COP participates in the calculation of the lighting system power value algorithm unit as an input parameter, and is closely linked to the lighting system power value Pac. An efficient air-conditioning system reduces the demand for energy, allowing the lighting system to provide the required light without increasing the overall energy load of the building. Through this linkage, the building can achieve energy optimization and avoid the increase in overall energy consumption caused by adjusting a certain system alone. For example, when the operation of the air-conditioning and lighting systems is not coordinated, it may lead to an increase in the overall energy consumption of the building. That is, when the air-conditioning operating load is large, if the lighting power is too high, it may cause the overall energy consumption to exceed the standard. The linkage mechanism in the lighting system power value algorithm unit ensures that when the air-conditioning efficiency is low, the lighting power will be automatically adjusted to avoid excessive energy consumption in the building.

[0027] This dynamic adjustment method allows the building intelligent system to flexibly adjust the lighting power according to real-time data and predicted changes, thereby avoiding the energy waste that may be caused by fixed lighting control methods. Whether it is sunny or cloudy, summer or winter, the system can respond in a timely manner according to changes in the external environment to ensure that the lighting power is always within a reasonable range. By accurately calculating and evaluating the lighting system power value Pac, it can provide the building management system with more accurate energy consumption data, which is helpful for long-term energy forecasting, budget control and optimization, and provides scientific and reliable data support for the building management system.

[0028] See also Figure 1 to Figure 2 , the distribution load value algorithm unit is as follows: ; in: Pdl represents the adjusted distribution load; P load Represents the total electricity load; V represents the current voltage; I represents the current; Eb represents battery energy storage; Sa represents the seasonal adjustment coefficient; Cop represents the energy efficiency value of the air conditioning system; Pac represents the lighting system power value; Pa represents the initial set lighting power; The calculation formula of seasonal adjustment coefficient Sa is as follows:

[0029] in: Sa represents the seasonal adjustment factor, which is used to adjust the value of battery energy storage Eb according to seasonal changes; S stands for the current season; α is an adjustment coefficient that represents the impact of seasonal changes on battery energy storage efficiency. Its value range is between 0.1 and 0.5, and it can be self-adjusted with the building intelligent management system. For example: In the smart building system, when the system detects that the temperature is abnormally low in winter, it will increase the value of α to improve the battery energy storage efficiency and ensure the stable operation of the system; The specific seasonal adjustment coefficient values ​​are: Spring (S=1), Sa=1+α×(-1)=1-α; In spring, the sunshine duration is moderate and the battery charging and discharging demand is relatively balanced, so the calculated seasonal adjustment coefficient Sa is lower, so as to appropriately reduce the battery energy storage Eb; Summer (S=2), Sa=1+α×0=1; in summer, the sunshine time is the longest, the daytime light is sufficient, and the lighting system demand is low. The calculated seasonal adjustment coefficient Sa is 1. In the formula calculation, it means that the system is in the baseline state in this season and there is no additional adjustment; In autumn (S=3), Sa=1+α×1=1+α, and in winter (S=4), Sa=1+α×2=1+2α. In autumn and winter, the daylight hours are shorter and the temperature is lower, so more battery energy storage Eb is needed to cope with the longer lighting demand and the energy demand caused by low temperature. Therefore, the calculated seasonal adjustment coefficient Sa will gradually increase to increase the effective utilization of the energy storage system. The distribution load value algorithm formula takes into account the impact of seasonal changes on the adjusted battery energy storage Eb and the adjusted distribution load Pdl. As the lighting demand changes in different seasons, the adjusted distribution load Pdl changes.

[0030] In the calculation formula: This part is passed through the total power load P load Multiply the current voltage V divided by the current current I to calculate the actual demand of the current power load in the distribution system; This part expresses the influence of the system's flexible adjustment of battery energy storage Eb on the distribution load Pdl adjusted by the calculation result according to seasonal changes by multiplying the battery energy storage Eb by the seasonal coefficient Sa; The ratio of this part represents the adjustment ratio of the lighting system in the building. This ratio reflects the degree of adjustment of the lighting power and, when added with the energy efficiency value Cop of the air-conditioning system, jointly affects the adjusted distribution load Pdl.

[0031] In this embodiment: Comprehensive consideration of total power load P load , seasonal adjustment coefficient Sa, air-conditioning system energy efficiency value Cop, lighting system power value Pac and other influencing factors are taken into account to calculate the adjusted distribution load Pdl in the building. By analyzing and evaluating the adjusted distribution load Pdl at different time points, the power distribution in the building can be dynamically adjusted so that the distribution system can dynamically adjust the power supply according to the actual load, reduce the impact of power load fluctuations on the system stability, ensure that the power system is not overloaded, avoid unstable power supply, and keep the power consumption in the building in the optimal state at all times. Especially when the air-conditioning efficiency is low, the system can automatically adjust the lighting power to avoid excessive energy consumption, providing scientific and reliable data support for power distribution in the building.

[0032] Through seasonal adjustment of battery energy storage, the building intelligent management system can store electricity when energy demand is low and supply electricity when demand peaks, reducing dependence on the external power grid and improving energy efficiency within the building. The introduction of the seasonal adjustment coefficient Sa ensures that battery energy storage is used most appropriately in different seasons, and by reducing unnecessary energy consumption (such as automatically adjusting lighting and air-conditioning power), the building intelligent management system can significantly reduce energy costs. Especially in the context of rising energy costs, these intelligent adjustment methods can effectively reduce operating costs, which is worthy of promotion and use.

[0033] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A building intelligent management system, characterized in that: include: The data collection module is used to obtain the power consumption Pac of the air conditioning system, the initial set lighting power Pa, and the total power load P through the power distribution room in the building. load , and real-time voltage and current values, and upload them to the database; The current indoor temperature Tin and the current outdoor temperature Tout are obtained in real time through indoor and outdoor temperature sensors and uploaded to the database; The data preprocessing module is used to decode and preprocess the data information in the database to obtain the parameters involved in the calculation in the calculation processing module; A calculation processing module is used to substitute the parameter values ​​obtained after decoding preprocessing into the air conditioning system energy efficiency value algorithm unit and the lighting system power value algorithm unit to calculate the air conditioning system energy efficiency value Cop and the system power value Pac, and input the calculated air conditioning system energy efficiency value Cop and the lighting system power value Pac as input parameters into the distribution load value algorithm unit to calculate the adjusted distribution load Pdl, and upload it to the database; The power distribution module is used to distribute power resources.

2. A building intelligent management system according to claim 1, characterized in that: The power resource allocation of the power distribution module specifically includes: The rated load of the power distribution system is set as Y in the database based on the power of the lighting and air conditioning equipment in the building, and the calculated adjusted distribution load Pdl is compared with the rated load Y; When the calculated adjusted distribution load Pdl is greater than the rated load Y, the power distribution system in the power distribution module reduces the power consumption of air conditioning and lighting in the building; When the calculated adjusted distribution load Pdl is less than the rated load Y, the power distribution system in the power distribution module increases the power consumption of air conditioning and lighting in the building; The tools used by the data collection module include indoor temperature sensors and outdoor temperature sensors.

3. A building intelligent management system according to claim 2, characterized in that: The calculation and processing module includes an air conditioning system energy efficiency value algorithm unit, a lighting system power value algorithm unit and a distribution load value algorithm unit.

4. A building intelligent management system according to claim 3, characterized in that: The air conditioning system energy efficiency value algorithm unit is as follows: ； in: Cop represents the energy efficiency value of the air conditioning system; Pac represents the power consumption of the air conditioning system; Tac stands for adjusted indoor temperature; Tout represents the current outdoor temperature, which is obtained in real time by the outdoor temperature sensor; In the calculation formula: This part takes the absolute value of the adjusted indoor temperature Tac minus the original current outdoor temperature Tout, which represents the temperature difference that the air conditioning system needs to overcome, that is, the difference between the indoor temperature and the outdoor temperature. The larger the temperature difference, the more power the air conditioning system needs to consume to maintain the indoor temperature. The temperature difference in this part is inversely proportional to the energy efficiency value Cop of the air conditioning system. When the value of this part decreases, the indoor and outdoor temperature difference is small, which increases the energy efficiency value Cop of the air conditioning system. When the value of this part increases, the energy efficiency value Cop of the air conditioning system decreases.

5. A building intelligent management system according to claim 4, characterized in that: The calculation formula of the adjusted indoor temperature Tac is as follows: ; in: Tac stands for adjusted indoor temperature; Tin represents the current indoor temperature, which is obtained in real time by the indoor temperature sensor; Tout represents the current outdoor temperature; Tset represents the target temperature set by the air conditioner, which is the target temperature set in the building that can make the human body feel comfortable; k represents the weight coefficient, which is used to indicate the adjustment efficiency of the air conditioning system. This coefficient controls the adjustment speed and accuracy of the temperature difference. The value range of k is between 0 and 1, and it can be self-adjusted in the building intelligent management system: When k=1, it means that the air conditioning system is adjusted completely according to the temperature difference, so that the adjusted indoor temperature Tac tends to the target temperature Tset set by the set temperature air conditioner; When 0<k<1, it means that the air conditioning system does not react directly, but slows down the temperature adjustment after responding to the temperature difference; When k = 0, it means that the air conditioner has no response and does not make temperature adjustments; In the calculation formula: This part indicates that the average value is obtained by adding the current indoor temperature Tin to the current outdoor temperature Tout and dividing it by 2, which represents a basic ambient temperature. The value in this part indicates that the air conditioner will maintain the middle value between the indoor and outdoor temperatures when there is no set temperature deviation; This part represents that the air conditioning system will adjust the air conditioning temperature according to the difference between the current indoor temperature Tin and the target temperature Tset set by the air conditioning, that is, by calculating the difference between the two and multiplying it by the weight coefficient k, the amplitude of the air conditioning adjustment is determined.

6. A building intelligent management system according to claim 4, characterized in that: The lighting system power value algorithm unit is as follows: ; in: Pac represents the lighting system power value, which is the adjusted lighting power value; Cop represents the energy efficiency value of the air conditioning system; Pa represents the initial set lighting power, which is the original set lighting power without any adjustment factors; t represents the current time in hours, ranging from 0 to 24; D stands for sunshine duration, in hours, indicating the duration of sunlight exposure in a day; S represents the current season, ranging from 1 to 4, with spring being 1, summer being 2, autumn being 3, and winter being 4; In the calculation formula: This part indicates the relationship between the current time t and the sunshine duration D, and affects the adjustment of lighting power. During the day, the lighting demand is low due to natural light, and at night, the lighting demand increases; When tD is close to zero, the daylight hours are longer, and since the natural light from the outside provides sufficient illumination, the need for artificial lighting is reduced, and the calculated lighting system power value Pac will be significantly reduced; When tD is close to 24, the night is longer. As night falls, the lighting demand increases, and the calculated lighting system power value Pac will also increase. This part is a negatively correlated term in the formula calculation, which means that the closer the current time t is to night, the larger the calculated lighting system power value Pac is; This part represents the seasonal adjustment factor that affects the calculation of the lighting system power value Pac, that is, adjusting the lighting power according to the season to adapt to the impact of different seasons on lighting needs.

7. A building intelligent management system according to claim 6, characterized in that: The distribution load value algorithm unit is as follows: ; in: Pdl represents the adjusted distribution load; P load Represents the total electricity load; V represents the current voltage; I represents the current; Eb represents battery energy storage; Sa represents the seasonal adjustment coefficient; Cop represents the energy efficiency value of the air conditioning system; Pac represents the lighting system power value; Pa represents the initial set lighting power; In the calculation formula: This part is passed through the total power load P load Multiply the current voltage V divided by the current current I to calculate the actual demand of the current power load in the distribution system; This part expresses the influence of the building intelligent management system on the distribution load Pdl adjusted by the calculation result by flexibly adjusting the battery energy storage Eb according to seasonal changes through the product of the battery energy storage Eb and the seasonal coefficient Sa; The ratio of this part represents the adjustment ratio of the lighting system in the building. This ratio reflects the degree of adjustment of the lighting power and, when added with the energy efficiency value Cop of the air-conditioning system, jointly affects the adjusted distribution load Pdl.

8. A building intelligent management system according to claim 7, characterized in that: The calculation formula of the seasonal adjustment coefficient Sa is as follows: ; in: Sa represents the seasonal adjustment factor, which is used to adjust the value of battery energy storage Eb according to seasonal changes; S stands for the current season; α is an adjustment coefficient that represents the impact of seasonal changes on battery energy storage efficiency. Its value range is between 0.1 and 0.5, and it can be self-adjusted with the building intelligent management system.

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