Inter-building energy regulation and control method based on Internet of Things

Abstract

The invention relates to the technical field of energy regulation and control, in particular to an inter-building energy regulation and control method based on the Internet of Things. The method comprises the following steps: predicting and judging whether the actual energy consumption of a building is abnormal or not; when the actual energy consumption is predicted and judged to be abnormal and the maximum energy consumption deviation value is positive, external climate data is associated to determine an execution mode of power dispatching; when the maximum energy consumption deviation value is negative, obtaining an identification type result of the current time period; and determining whether to execute power dispatching control based on the identification type result. By monitoring the energy consumption deviation value of each building in real time, the energy consumption deviation condition of the building in the to-be-monitored range is determined, energy consumption abnormity is found in time, power distribution is optimized, energy waste is reduced, external climate data and building types are associated to dynamically adjust a power dispatching strategy, the energy consumption requirement of the building is judged more accurately, and the energy consumption of the building is improved. Therefore, different environment and energy scheduling requirements can be met, power distribution can be rapidly adjusted, and the stability of energy supply can be ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of energy regulation and control, and in particular to an inter-building energy regulation and control method based on the Internet of Things. Background Art

[0002] With the global emphasis on renewable energy and the improvement of energy efficiency, energy management and regulation between buildings have become increasingly important. Traditional energy management systems often rely on fixed energy consumption patterns and are difficult to adapt to dynamically changing energy demand and supply. In order to solve this problem, inter-building energy regulation technology based on power dispatching has emerged; hotel energy consumption loads change with seasons, weather, and room occupancy rates, and are prone to fluctuations. How to effectively manage and regulate energy consumption has become an important challenge, especially during peak power consumption periods. The sharp fluctuations in energy demand may lead to insufficient power supply, which in turn affects user comfort and building operational efficiency; and relying on the regulation of temperature control loads, energy management is achieved through the conversion of electrical energy to thermal energy; power dispatching plays a vital role in inter-building energy regulation; through real-time monitoring and analysis of building energy consumption data, external environmental factors (such as outdoor temperature, humidity, etc.) and the output of renewable energy, the power dispatching system can intelligently adjust the operating status of the temperature control load; power dispatching can optimize the charging and discharging period of virtual energy storage according to time-of-use electricity prices and the supply of renewable energy, thereby improving economic efficiency and solving the problem of renewable energy consumption. Through effective power dispatching, energy regulation between buildings can not only reduce operating costs, but also improve energy efficiency and reduce carbon emissions; this regulation method is in line with the goal of sustainable development and promotes the development of green buildings and smart buildings. With the continuous advancement of technology, energy regulation between buildings based on power dispatching will become an important trend in future building energy management.

[0003] Therefore, there is an urgent need for an inter-building energy control method for hotel management, which is crucial to improving the hotel's energy efficiency and reducing environmental impact.

[0004] A Chinese patent document with publication number CN113962601B discloses a method for energy regulation between buildings, which is characterized by comprising: an economic regulation model of a park energy system and a low-carbon operation regulation model of park energy based on an alternating direction multiplier method to solve: when renewable energy is sufficient, the surplus electric energy is used to produce hydrogen or stored by batteries, and when the load is peak, the fuel cell generates electricity or the battery discharges; based on the principle of the alternating direction multiplier method algorithm, a power coordination variable is introduced to decouple the interactive power between buildings, and the centralized optimization scheduling is converted into a decentralized autonomous sub-optimization problem of each building with consistency. The park energy management center can collect the power values ​​expected to be interacted between the buildings, and coordinate the shared power values ​​and send them to each building in combination with the output of renewable energy and controllable power sources inside each building. The shared part of the electric energy is consumed on-site by adjacent buildings, and internal resources are fully utilized; the electric energy demand is supplemented in a shared manner, thereby reducing the power interaction cost; it can be seen that in the existing energy regulation method between buildings, there is a lack of a method that enables hotels to effectively manage energy consumption even when energy consumption fluctuates greatly through real-time monitoring and intelligent adjustment. Summary of the invention

[0005] To this end, the present invention provides an inter-building energy control method based on the Internet of Things to overcome the problem of low energy control efficiency in the prior art due to the lack of real-time monitoring and intelligent adjustment of power dispatching, which fails to cope with the situation of large fluctuations in building energy consumption.

[0006] To achieve the above object, the present invention provides an inter-building energy control method based on the Internet of Things, comprising: The actual energy consumption deviation value and the maximum energy consumption deviation value of each building within the monitoring range are obtained in a preset monitoring cycle, and the standard energy consumption deviation value is compared with the maximum energy consumption deviation value, and it is predicted and determined whether there is an abnormality in the actual energy consumption of the building based on the comparison result; Among them, the maximum energy consumption deviation value is the maximum value of the absolute values ​​of the actual energy consumption deviation values; When the actual energy consumption between buildings is predicted to be abnormal, the positive or negative value of the maximum energy consumption deviation is obtained for judgment, and when the maximum energy consumption deviation is positive, the execution mode of power dispatch is determined by associating with external climate data; The external climate data is analyzed to obtain the real-time sunlight exposure area corresponding to each spatial region, the percentage of the real-time sunlight exposure area to the total area of ​​the corresponding spatial region is calculated to obtain the real-time exposure ratio, and the real-time exposure ratio is determined according to the first standard exposure ratio and the second standard exposure ratio, and the execution mode of power dispatch is selected according to the determination result and the real-time temperature in any of the spatial regions; The execution modes of the power dispatch include first energy storage dispatch, mode conversion dispatch and second energy storage dispatch; When the maximum energy consumption deviation value is negative, the identification type result of the current period is obtained; Whether to execute power dispatch control is determined based on the identification type result.

[0007] Further, predicting and determining whether the actual energy consumption of the building is abnormal based on the comparison result includes: Obtain the actual energy consumption of each building, and calculate the corresponding actual energy consumption deviation value and maximum energy consumption deviation value based on the actual energy consumption and expected energy consumption; Calculate standard energy consumption deviation value; Compare the standard energy consumption deviation value with the maximum energy consumption deviation value; Determine whether the actual energy consumption of each building is normal based on the comparison results; Among them, if the maximum energy consumption deviation value is less than or equal to the standard energy consumption deviation value, it is determined that the actual energy consumption of each building is normal; If the maximum energy consumption deviation value is greater than the standard energy consumption deviation value, it is predicted that there is an abnormality in the actual energy consumption of the building. The positive or negative value of the maximum energy consumption deviation value will be obtained for judgment to determine whether to execute power dispatch control.

[0008] Further, determining whether to execute power dispatch control based on the identification type result includes: If a peak period is identified, the type of the building to be analyzed is identified, and whether to perform the first power dispatch control is determined based on the identification result and the monitoring data; If the off-peak period is identified, the energy consumption deviation is determined to be normal; If a normal period is identified, the real-time room occupancy rate is obtained, the real-time room occupancy rate is determined, and whether to execute the first power dispatching control is determined based on the determination result.

[0009] Furthermore, the type of building to be analyzed is identified including: Classify each building according to its function into the first allocation type and the second allocation type; Marking the building corresponding to the maximum energy consumption deviation value as the building to be analyzed; Identify the type of the building to be analyzed, and obtain a first identification result and a second identification result; Among them, the first recognition result is that the building to be analyzed is of the first allocation type; the second recognition result is that the building to be analyzed is of the second allocation type.

[0010] Further, determining whether to execute the first power dispatch control based on the identification result and the monitoring data includes: Determine energy consumption deviation based on the identification result; When the energy consumption deviation is abnormal, obtaining environmental data at each monitoring point in the building to be analyzed, and analyzing the environmental data; Determine the operating status of the energy equipment based on the analysis results; When the operating state of the energy equipment is normal, executing the first power dispatching control; When the operating status of energy equipment is abnormal, a maintenance prompt is issued; Among them, the identification results include a first identification result and a second identification result; under the first identification result, the energy consumption deviation is judged to be normal; under the second identification result, the energy consumption deviation is judged to be abnormal; the first power dispatching control is to turn on the corresponding equipment and allocate power.

[0011] Further, the execution mode of power dispatching determined by associating external climate data includes: Acquire external climate data, analyze the external climate data, and obtain a first analysis result and a second analysis result; executing a second power dispatching control based on the first analysis result, wherein the second power dispatching control is to distribute power to each device in the building; Under the second analysis result, the real-time sunlight exposure area corresponding to each space area in the building to be analyzed is obtained, and the percentage of the real-time sunlight exposure area to the total area of ​​the corresponding space area is calculated to obtain the real-time exposure ratio; Determine the real-time irradiation ratio according to the first standard irradiation ratio and the second standard irradiation ratio, and obtain a first determination result, a second determination result, and a third determination result; A fourth determination result is determined based on the second determination result and the actual impact ratio. Under the fourth determination result or the third determination result, an execution mode of power scheduling is selected based on the real-time temperature in any of the spatial areas.

[0012] Further, the external climate data is analyzed to obtain a first analysis result and a second analysis result including: The external climate data includes real-time ambient temperature and real-time ambient humidity; Compare the real-time ambient temperature with the standard ambient temperature range, and compare the real-time ambient humidity with the standard ambient humidity range: If the real-time ambient temperature is not within the standard ambient temperature range or the real-time ambient humidity is not within the standard ambient humidity range, a first analysis result is obtained; If the real-time ambient temperature is within the standard ambient temperature range and the real-time ambient humidity is within the standard ambient humidity range, a second analysis result is obtained.

[0013] Furthermore, the real-time irradiation ratio is determined according to the first standard irradiation ratio and the second standard irradiation ratio: If the real-time irradiation ratio is less than the first standard irradiation ratio, a first determination result is obtained; If the real-time irradiation ratio is greater than or equal to the first standard irradiation ratio and less than or equal to the second standard irradiation ratio, a second determination result is obtained; If the real-time irradiation ratio is greater than the second standard irradiation ratio, a third determination result is obtained.

[0014] Further, the execution mode of selecting power dispatch based on the real-time temperature in any of the spatial areas includes: Under the fourth determination result or the third determination result, the real-time temperature in any of the spatial regions is obtained, and the real-time temperature is compared with the standard temperature range: If the real-time temperature is within the standard temperature range, the first energy storage scheduling is executed; If the real-time temperature is not within the standard temperature range, compare the real-time temperature with the standard temperature range, where: If the real-time temperature is greater than the maximum value of the standard temperature range, the mode conversion scheduling is executed; If the real-time temperature is lower than the minimum value of the standard temperature range, the second energy storage scheduling is executed.

[0015] Further, the first energy storage is scheduled to not distribute electricity and shut down the temperature control load; The mode conversion scheduling is to switch the temperature control device from cooling mode to ventilation mode; The second energy storage dispatch is to distribute electricity and turn on the temperature control load.

[0016] Compared with the prior art, the beneficial effect of the present invention lies in that, by monitoring the energy consumption deviation value of each building, the energy consumption deviation of the buildings within the monitoring range can be determined, energy consumption anomalies can be discovered in time, power distribution can be optimized, and energy waste can be reduced. Since the functions of different buildings, the time period at the current moment, external climate conditions, the height and layout of surrounding buildings affect energy consumption by affecting sunlight, these factors will affect the energy consumption demand of the building and cause fluctuations in the building energy consumption. Therefore, the power dispatching strategy can be dynamically adjusted by associating external climate data and building type, so as to more accurately judge the energy consumption demand of the building to adapt to different environments and energy dispatching requirements, quickly evaluate and adjust power distribution, and ensure the stability of energy supply.

[0017] Furthermore, the actual energy consumption between hotel buildings is periodically monitored to calculate whether the degree of deviation between the actual energy consumption and the expected energy consumption is normal. By obtaining the maximum value of the energy consumption deviation within the monitored range, the maximum energy consumption deviation value within the monitored range is compared with the standard. If the maximum energy consumption deviation value is determined to be less than or equal to the standard energy consumption deviation value, it means that the energy consumption deviations of each building within the monitored range are within the standard range, indicating that the energy utilization efficiency between buildings meets expectations, and the current power dispatching status can meet the load demand. If the maximum energy consumption deviation value is determined to be greater than the standard energy consumption deviation value, it means that there is a large deviation between the actual energy consumption of a building and the expected energy consumption, and it is necessary to determine whether electricity needs to be allocated based on the actual situation to ensure the stability of the energy supply.

[0018] Furthermore, when it is predicted that the actual energy consumption of a building deviates greatly from the expected energy consumption and is abnormally low, the time period corresponding to the current moment is accurately analyzed, so as to determine whether the current energy consumption deviation phenomenon is abnormal according to the actual situation in different time periods, so as to perform real-time energy allocation when it is abnormal. That is, when the current time period is determined to be a low period, it indicates that the abnormally low energy consumption of the building is a normal phenomenon, and no electricity needs to be allocated at this time. When it is identified that the current moment corresponds to a peak period, it may be due to the functional difference of the building, which makes the energy consumption demand larger, resulting in a large difference in energy consumption fluctuation. This situation is a normal phenomenon. For example, a catering building may have a large energy consumption fluctuation during the meal peak. If the energy consumption is high during a period of time, the type of building to be analyzed is identified to accurately determine whether there is an abnormal energy consumption deviation. That is, by monitoring the temperature data in the building, it is analyzed whether the operating status of the air conditioners, heat pumps and other equipment in the building is normal. When the operating status is abnormal, the staff is notified to carry out maintenance. When the operating status is normal, the corresponding equipment is turned on and electricity is allocated to ensure the stability of energy supply. When it is identified that the current time corresponds to a normal period, it is determined whether electricity is allocated in combination with the room occupancy rate, and the power dispatch is flexibly controlled to effectively improve energy utilization efficiency, reduce energy consumption, and ensure user comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of an inter-building energy control method based on the Internet of Things according to an embodiment of the present invention; Figure 2 A schematic diagram of a flow chart of predicting and determining whether the actual energy consumption of a building is abnormal based on the comparison results according to an embodiment of the present invention; Figure 3 A schematic diagram of a flow chart of determining whether to execute a first power dispatching control based on an identification result and monitoring data according to an embodiment of the present invention; Figure 4 A schematic diagram of a flow chart of an embodiment of the present invention for associating external climate data to determine an execution mode of power dispatching. DETAILED DESCRIPTION

[0020] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0021] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0022] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0023] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] See also Figure 1 As shown, it is a flow chart of an inter-building energy control method based on the Internet of Things according to an embodiment of the present invention. The present invention provides an inter-building energy control method based on the Internet of Things, comprising: Step S1, obtaining the actual energy consumption deviation value and the maximum energy consumption deviation value of each building within the monitoring range in a preset monitoring period, and comparing the standard energy consumption deviation value with the maximum energy consumption deviation value, and predicting and determining whether there is an abnormality in the actual energy consumption of the building based on the comparison result; Among them, the maximum energy consumption deviation value is the maximum value of the absolute values ​​of the actual energy consumption deviation values; Step S2, when the actual energy consumption between buildings is predicted to be abnormal, the positive or negative value of the maximum energy consumption deviation is obtained for determination, and when the maximum energy consumption deviation value is positive, the execution mode of power dispatch is determined by associating with external climate data; The external climate data is analyzed to obtain the real-time sunlight exposure area corresponding to each spatial region, the percentage of the real-time sunlight exposure area to the total area of ​​the corresponding spatial region is calculated to obtain the real-time exposure ratio, and the real-time exposure ratio is determined according to the first standard exposure ratio and the second standard exposure ratio, and the execution mode of power dispatch is selected according to the determination result and the real-time temperature in any of the spatial regions; The execution modes of the power dispatch include first energy storage dispatch, mode conversion dispatch and second energy storage dispatch; Step S3, when the maximum energy consumption deviation value is negative, obtaining the identification type result of the current time period; Step S4, determining whether to execute power dispatch control based on the identification type result.

[0025] The preset monitoring period in this embodiment is a period for monitoring energy consumption between hotel buildings, which is set to a few days to a month to quickly evaluate and adjust power distribution, which is particularly suitable for seasonal changes or special events and can achieve rapid response.

[0026] By monitoring the energy consumption deviation of each building, the energy consumption deviation of the buildings within the monitoring range can be determined, energy consumption anomalies can be discovered in time, power distribution can be optimized, and energy waste can be reduced. Since the functions of different buildings, the time period at the current moment, external climate conditions, and the height and layout of surrounding buildings affect energy consumption by affecting sunlight, these factors will affect the energy consumption demand of the building and cause fluctuations in building energy consumption. Therefore, dynamically adjusting the power dispatching strategy by associating external climate data and building types can more accurately judge the energy consumption demand of the building to adapt to different environments and energy dispatching needs, quickly evaluate and adjust power distribution, and ensure the stability of energy supply.

[0027] See also Figure 2 As shown, it is a schematic diagram of a flow chart of an embodiment of the present invention for predicting and determining whether the actual energy consumption of a building is abnormal based on the comparison result; Specifically, the comparison results are used to predict whether the actual energy consumption of the building is abnormal, including: Step S101, obtaining the actual energy consumption of each building, and calculating the corresponding actual energy consumption deviation value and maximum energy consumption deviation value according to the actual energy consumption and the expected energy consumption; Step S102, calculating the standard energy consumption deviation value; Step S103, comparing the standard energy consumption deviation value with the maximum energy consumption deviation value; Step S104, determining whether the actual energy consumption of each building is normal based on the comparison result; Among them, if the maximum energy consumption deviation value is less than or equal to the standard energy consumption deviation value, it is determined that the actual energy consumption of each building is normal; If the maximum energy consumption deviation value is greater than the standard energy consumption deviation value, it is predicted that there is an abnormality in the actual energy consumption of the building. The positive or negative value of the maximum energy consumption deviation value will be obtained for judgment to determine whether to execute power dispatch control.

[0028] In this embodiment, the actual energy consumption deviation value is the difference between the actual energy consumption of the building and the expected energy consumption, that is, the value obtained by subtracting the expected energy consumption from the actual energy consumption. The set value of the expected energy consumption is related to the scale, type, geographical location, architectural design, equipment efficiency and the number of guest rooms of the hotel. Generally, the expected energy consumption of a small hotel is set between 100,000 and 300,000 kWh, the expected energy consumption of a medium-sized hotel is set between 300,000 and 1,000,000 kWh, and the expected energy consumption of a large hotel is set between 1,000,000 and 5,000,000 kWh, and the selection is adapted according to the actual design characteristics of the hotel; the standard energy consumption deviation value is 10% of the expected energy consumption.

[0029] The actual energy consumption between hotel buildings is monitored periodically to calculate whether the degree of deviation between the actual energy consumption and the expected energy consumption is normal. The maximum value of the energy consumption deviation within the monitored range is obtained and the maximum energy consumption deviation value within the monitored range is compared with the standard. If the maximum energy consumption deviation value is determined to be less than or equal to the standard energy consumption deviation value, it means that the energy consumption deviations of each building within the monitored range are within the standard range, indicating that the energy utilization efficiency between buildings is in line with expectations and the current power dispatching status can meet the load demand. If the maximum energy consumption deviation value is determined to be greater than the standard energy consumption deviation value, it means that there is a large deviation between the actual energy consumption of a building and the expected energy consumption, and it is necessary to determine whether electricity needs to be allocated based on the actual situation to ensure the stability of the energy supply.

[0030] Specifically, the calculation of standard energy consumption deviation value includes: The standard energy consumption deviation value is calculated based on the number of floors, temperature and humidity, wind speed, noise, artificial lighting illumination, natural lighting illumination and carbon dioxide concentration. The calculation formula is: E=Eb+k1×F / Fr+k2×T / Tb+k3×H / Hb+k4×W / Wb+k5×N / Nb+k6×La / Lb+k7×Ln / Lb+k8×C / Cb; Where: Eb is the basic energy consumption; F is the number of floors; Fr is the reference value of the number of floors; T is the temperature (degrees Celsius); Tb is the standard temperature (degrees Celsius); H is the humidity (%); Hb is the standard humidity (%); W is the wind speed (m / s); Wb is the standard wind speed (m / s); N is the noise level (dB); Nb is the standard noise level (dB); La is the artificial lighting illuminance (lux); Lb is the standard lighting illuminance (lux); Ln is the natural lighting illuminance (lux); Lb is the standard lighting illuminance (lux); C is the carbon dioxide concentration (ppm); Cb is the standard carbon dioxide concentration (ppm); k1=10; k2=5; k3=2; k4=3; k5=1; k6=0.5; k7=0.2; k8=0.2.

[0031] In this embodiment, the basic energy consumption is 1000kWh, the reference value of the number of floors is 10, the standard temperature is between 23°C and 26°C, the standard humidity is 50%, the standard wind speed is 2m / s, the standard noise level is 50dB, the standard lighting illuminance is 500lux, the standard daylighting illuminance is 300lux, and the standard carbon dioxide concentration is 400ppm; for example, when the actual measured number of floors is 5, the temperature is 22°C, the humidity is 50%, the wind speed is 1.5m / s, the noise level is 40dB, the lighting illuminance is 300lux, the daylighting illuminance is 200lux, and the carbon dioxide concentration is 400ppm, the calculated standard energy consumption deviation value is 1008.084kWh.

[0032] The standard energy consumption deviation value is calculated based on the number of floors, temperature and humidity, wind speed, noise, artificial lighting illumination, natural lighting illumination and carbon dioxide concentration, so as to comprehensively consider various environmental factors. The calculated standard energy consumption deviation value can more accurately reflect the expected energy consumption of the hotel building under specific conditions, and make the comparison between the standard energy consumption deviation value and the actual energy consumption deviation value more accurate, thereby more effectively identifying energy consumption anomalies.

[0033] Specifically, determining whether to execute power dispatch control based on the identification type result includes: If a peak period is identified, the type of the building to be analyzed is identified, and whether to perform the first power dispatch control is determined based on the identification result and the monitoring data; If the off-peak period is identified, the energy consumption deviation is determined to be normal; If a normal period is identified, the real-time room occupancy rate is obtained, the real-time room occupancy rate is determined, and whether to execute the first power dispatching control is determined according to the determination result; In this embodiment, the peak period is the time period when the energy consumption in the hotel reaches the highest level, the trough period is the time period when the energy consumption in the hotel is the lowest, and the normal period is the time period between the peak period and the trough period. The passenger flow and energy consumption corresponding to this time period are relatively stable. The peak period includes the weekday peak period, the weekend peak period, the conference and activity peak period, and the weekend and holiday peak period. The weekday peak period includes the breakfast peak: 7:00-9:00 in the morning; the lunch peak: 12:00-14:00 in the afternoon; the dinner peak: 18:00-20:00 in the evening; the weekend peak period includes the breakfast peak and the evening leisure peak, the breakfast peak: 8:00-10:00 in the morning; the evening leisure peak: 19:00-21:00 in the evening; the conference and The activity peak is from 9:00 to 17:00 on weekdays; the trough period includes the weekday trough period and the weekend trough period, among which the weekday trough period includes the late night period and the afternoon trough period, among which the late night period is from 22:00 to 6:00 in the evening, and the afternoon trough period is from 14:00 to 17:00 in the afternoon; the normal period includes the weekday normal period and the weekend normal period, among which the weekday normal period is from 6:00 to 7:00, 9:00 to 12:00 in the morning, and from 17:00 to 18:00 and 20:00 to 22:00 in the evening; the weekend normal period is from 7:00 to 8:00, 10:00 to 12:00 in the morning, and from 12:00 to 15:00, 17:00 to 19:00 and 21:00 to 22:00 in the afternoon.

[0034] By predicting and judging that the actual energy consumption of a building deviates greatly from the expected energy consumption and is abnormally low, the time period corresponding to the current moment is accurately analyzed to determine whether the current energy consumption deviation is abnormal according to the actual situation in different time periods, so as to perform real-time energy allocation when it is abnormal. That is, when the current time period is determined to be a low period, it means that the abnormally low energy consumption of the building is normal, and no electricity needs to be allocated at this time. When it is identified that the current moment corresponds to a peak period, it may be due to the functional difference of the building, which makes the energy consumption demand larger, resulting in a large energy consumption fluctuation difference. This is a normal phenomenon. For example, the peak meal time in a catering building If the energy consumption is high, the type of building to be analyzed is identified to accurately determine whether there is an abnormal energy consumption deviation. That is, by monitoring the temperature data in the building, it is analyzed whether the operating status of the air conditioners, heat pumps and other equipment in the building is normal. When the operating status is abnormal, the staff is notified to carry out maintenance. When the operating status is normal, the corresponding equipment is turned on and electricity is allocated to ensure the stability of energy supply. When it is identified that the current time corresponds to a normal period, it is determined whether electricity is allocated in combination with the room occupancy rate, and the power dispatch is flexibly controlled to effectively improve energy utilization efficiency, reduce energy consumption, and ensure user comfort.

[0035] Specifically, the identification of the type of building to be analyzed includes: Classify each building according to its function into the first allocation type and the second allocation type; Marking the building corresponding to the maximum energy consumption deviation value as the building to be analyzed; Identify the type of the building to be analyzed, and obtain a first identification result and a second identification result; Among them, the first recognition result is that the building to be analyzed is of the first allocation type; the second recognition result is that the building to be analyzed is of the second allocation type.

[0036] In this embodiment, the first allocation type is low-energy consumption buildings, including guest rooms and offices. The energy consumption of the buildings corresponding to the first allocation type is relatively stable. The energy consumption increases when the occupancy rate is high, but the volatility is small. The second allocation type is high-energy consumption buildings within the monitoring range, including restaurants, conference rooms, gyms, etc. The buildings corresponding to the second allocation type have higher energy consumption during peak hours and the demand for electricity fluctuates greatly.

[0037] See also Figure 3 As shown, it is a flow chart of determining whether to execute the first power dispatching control based on the identification result and the monitoring data according to an embodiment of the present invention; Specifically, determining whether to execute the first power dispatch control based on the identification result and the monitoring data includes: Step S4001, determining energy consumption deviation based on the recognition result; Step S4002, when the energy consumption deviation is abnormal, obtaining environmental data at each monitoring point in the building to be analyzed, and analyzing the environmental data; Step S4003, determining the operating status of the energy device based on the analysis result; When the operating state of the energy equipment is normal, executing the first power dispatching control; When the operating status of energy equipment is abnormal, a maintenance prompt is issued; Among them, the identification results include a first identification result and a second identification result; under the first identification result, the energy consumption deviation is judged to be normal; under the second identification result, the energy consumption deviation is judged to be abnormal; the first power dispatching control is to turn on the corresponding equipment and allocate power.

[0038] Specifically, the operating status of energy equipment is determined based on the analysis results, including: Get the real-time indoor temperature at each monitoring point, calculate the difference between the real-time indoor temperature and the real-time outdoor temperature, get the real-time temperature control difference, and compare the real-time temperature control difference with the standard temperature control difference range: If the real-time temperature control difference is within the standard temperature control difference range, the operation status of the energy equipment is determined to be normal; If the real-time temperature control difference is not within the standard temperature control difference range, the operation status of the energy equipment is determined to be abnormal; Among them, each monitoring point corresponds to energy equipment one by one; In this embodiment, by monitoring the temperature difference between indoor and outdoor, an intelligent analysis is performed to determine whether the equipment is operating normally. Under normal circumstances, the temperature control device adjusts the indoor temperature according to the set temperature. Changes in the indoor and outdoor temperature difference can reflect the working efficiency and operating status of the equipment. If the indoor and outdoor temperature difference is too large, it means that the equipment is overworking and cannot effectively adjust the indoor temperature. This may be due to equipment aging, filter blockage, or insufficient refrigerant. A small temperature difference indicates that the equipment has failed to work properly and cannot effectively heat or cool. This may be due to equipment failure or improper settings. In addition to the indoor and outdoor temperature difference, the equipment's inlet and outlet air temperatures, equipment operating status, etc. can also be monitored to determine whether the equipment is operating normally.

[0039] Specifically, the determination of real-time room occupancy rate includes: If the real-time room occupancy rate is less than or equal to the standard room occupancy rate, the first power dispatching control is not performed; If the real-time room occupancy rate is greater than the standard room occupancy rate, the first power dispatching control is executed.

[0040] In this embodiment, the standard room occupancy rate represents the set room occupancy rate threshold. When it is higher than the threshold, it means that the real-time room occupancy rate is high. When it is lower than the threshold, it means that the real-time room occupancy rate is low. The standard room occupancy rate is set to 80%.

[0041] When the real-time room occupancy rate is low, by not executing power dispatching control, the overall energy consumption can be effectively reduced and energy costs can be saved. When the real-time room occupancy rate is high, power dispatching control is executed so that power resources should be allocated first to rooms in need, thereby achieving optimal energy management.

[0042] See also Figure 4 As shown, it is a flow chart of an embodiment of the present invention for associating external climate data to determine an execution mode of power dispatching; Specifically, the execution mode of power dispatch determined by associating external climate data includes: Step S201, acquiring external climate data, analyzing the external climate data, and obtaining a first analysis result and a second analysis result; Step S202, executing a second power dispatching control based on the first analysis result, wherein the second power dispatching control is to distribute power to each device in the building; Under the second analysis result, the real-time sunlight exposure area corresponding to each space area in the building to be analyzed is obtained, and the percentage of the real-time sunlight exposure area to the total area of ​​the corresponding space area is calculated to obtain the real-time exposure ratio; Step S203, determining the real-time irradiation ratio according to the first standard irradiation ratio and the second standard irradiation ratio, and obtaining a first determination result, a second determination result and a third determination result; Step S204, determining a fourth determination result based on the second determination result and the actual impact ratio, and selecting an execution mode of power dispatching based on the real-time temperature in any of the spatial areas under the fourth determination result or the third determination result; Among them, under the first judgment result, power dispatch is not performed.

[0043] In this embodiment, light sensors and high-resolution cameras are installed in various spatial areas in the building to monitor the sunlight intensity in real time. When the sunlight intensity is higher than the set intensity threshold, the camera is used to collect images, and the sunlight area is analyzed in combination with image processing technology. The image processing technology is to use image processing algorithms, such as OpenCV, to analyze the images taken by the camera, identify the sunlight area, and extract the sunlight area through image segmentation technology, such as threshold segmentation and edge detection, and calculate its area. The light sensor can be a photoelectric sensor or a light intensity sensor. This is a prior art and will not be described in detail.

[0044] When it is determined that the building energy consumption deviation is large and abnormally high, the external environmental factors are associated to analyze whether the abnormally high energy consumption is caused by climatic conditions, and power scheduling is carried out adaptively to ensure the effectiveness of energy consumption management.

[0045] Specifically, the external climate data is analyzed to obtain a first analysis result and a second analysis result including: The external climate data includes real-time ambient temperature and real-time ambient humidity; Compare the real-time ambient temperature with the standard ambient temperature range, and compare the real-time ambient humidity with the standard ambient humidity range: If the real-time ambient temperature is not within the standard ambient temperature range or the real-time ambient humidity is not within the standard ambient humidity range, a first analysis result is obtained; If the real-time ambient temperature is within the standard ambient temperature range and the real-time ambient humidity is within the standard ambient humidity range, a second analysis result is obtained.

[0046] In this embodiment, the first analysis result indicates that the external climate conditions are normal, and the second analysis result indicates that the external climate conditions are abnormal; the standard ambient temperature range and the standard ambient humidity range are set according to the use nature of the building, seasonal changes and the user's comfort requirements. The standard ambient temperature range in summer may be set to 20°C to 26°C, and in winter may be set to 18°C ​​to 24°C; the standard ambient humidity range is set to 30% to 60%.

[0047] Specifically, the real-time irradiation ratio is determined based on the first standard irradiation ratio and the second standard irradiation ratio: If the real-time irradiation ratio is less than the first standard irradiation ratio, a first determination result is obtained; If the real-time irradiation ratio is greater than or equal to the first standard irradiation ratio and less than or equal to the second standard irradiation ratio, a second determination result is obtained; If the real-time irradiation ratio is greater than the second standard irradiation ratio, a third determination result is obtained.

[0048] In this embodiment, the standard illumination ratio is the threshold value of the sunlight illumination area ratio of the corresponding space area. The first standard illumination ratio represents the allowable sunlight illumination area ratio. Below this ratio, the effect of sunlight illumination on energy consumption is not significant. The second standard illumination ratio represents the percentage of the illumination area where sunlight illumination has a greater impact on building energy consumption to the total area of ​​the space area. Above this ratio, the effect of sunlight illumination on energy consumption is significant. The first standard illumination ratio is set to 10%, and the second standard illumination ratio is set to 30%.

[0049] Since the height and layout of buildings around the building may affect sunlight exposure and thus affect energy consumption, the actual sunlight exposure area of ​​the building is monitored to analyze the impact of sunlight exposure on energy consumption. If it is determined that the real-time exposure ratio is less than the first standard exposure ratio, it means that the impact of sunlight exposure on the energy consumption of the building is negligible. If it is determined that the real-time exposure ratio is greater than or equal to the first standard exposure ratio and less than or equal to the second standard exposure ratio, it means that sunlight exposure has a greater impact on the energy consumption of the building. In this way, the spatial areas in the building are marked as associated areas, and the number of associated areas is analyzed to determine the impact of sunlight exposure on the energy consumption of the building. If it is determined that the real-time exposure ratio is greater than the second standard exposure ratio, it means that sunlight exposure has a great impact on the energy consumption of the building. It is necessary to select the power control mode according to the actual temperature in the building, and reasonably dispatch electricity to improve energy efficiency.

[0050] Specifically, the execution mode of selecting power dispatch based on the real-time temperature in any of the spatial areas includes: Under the fourth determination result or the third determination result, the real-time temperature in any of the spatial regions is obtained, and the real-time temperature is compared with the standard temperature range: If the real-time temperature is within the standard temperature range, the first energy storage scheduling is executed; If the real-time temperature is not within the standard temperature range, compare the real-time temperature with the standard temperature range, where: If the real-time temperature is greater than the maximum value of the standard temperature range, the mode conversion scheduling is executed; If the real-time temperature is lower than the minimum value of the standard temperature range, the second energy storage scheduling is executed.

[0051] The standard temperature interval in this embodiment represents the temperature comfort range, which is generally set between 22 degrees Celsius and 26 degrees Celsius. Within the comfortable temperature range, the equipment does not need to run, thereby saving energy. Under high temperature conditions, ventilation is performed to lower the indoor temperature and reduce energy consumption. Under low temperature conditions, electricity is allocated to ensure sufficient heating load, thereby ensuring indoor comfort. The power scheduling strategy is executed according to actual conditions to effectively improve energy utilization efficiency.

[0052] Specifically, the first energy storage dispatch is to not allocate electricity and shut down the temperature control load; The mode conversion scheduling is to switch the temperature control device from cooling mode to ventilation mode; The second energy storage dispatch is to distribute electricity and turn on the temperature control load.

[0053] Specifically, determining the fourth determination result based on the second determination result and the actual impact ratio includes: Under the second determination result, the corresponding spatial area is marked as an associated area, and the number of associated areas in the building is calculated to account for the total number of spatial areas to obtain the actual impact ratio; Compare the actual impact percentage with the standard impact percentage: If the actual impact ratio is less than the standard impact ratio, power dispatch will not be performed; If the actual impact ratio is greater than or equal to the standard impact ratio, a fourth determination result is obtained.

[0054] The standard impact ratio in this embodiment represents the minimum proportion of sunlight exposure that significantly affects building energy consumption. The set value is related to the building design, usage requirements and environmental conditions, reflecting the expected impact of sunlight exposure on energy consumption. The standard impact ratio is set to 30%.

[0055] By marking the corresponding spatial areas as associated areas under the second judgment result, it is possible to identify which areas are affected by sunlight exposure, which is convenient for subsequent analysis. By comparing the actual impact ratio with the standard impact ratio, the impact of sunlight exposure on building energy consumption can be effectively evaluated to optimize the power dispatching strategy and ensure the effective use of energy.

[0056] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0057] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A building energy control method based on the Internet of Things, characterized in that: include, The actual energy consumption deviation value and the maximum energy consumption deviation value of each building within the monitoring range are obtained in a preset monitoring cycle, and the standard energy consumption deviation value is compared with the maximum energy consumption deviation value, and it is predicted and determined whether there is an abnormality in the actual energy consumption of the building based on the comparison result; Among them, the maximum energy consumption deviation value is the maximum value of the absolute values ​​of the actual energy consumption deviation values; When the actual energy consumption between buildings is predicted to be abnormal, the positive or negative value of the maximum energy consumption deviation is obtained for judgment, and when the maximum energy consumption deviation is positive, the execution mode of power dispatch is determined by associating with external climate data; The external climate data is analyzed to obtain the real-time sunlight exposure area corresponding to each spatial region, the percentage of the real-time sunlight exposure area to the total area of ​​the corresponding spatial region is calculated to obtain the real-time exposure ratio, and the real-time exposure ratio is determined according to the first standard exposure ratio and the second standard exposure ratio, and the execution mode of power dispatch is selected according to the determination result and the real-time temperature in any of the spatial regions; The execution modes of the power dispatch include first energy storage dispatch, mode conversion dispatch and second energy storage dispatch; When the maximum energy consumption deviation value is negative, the identification type result of the current period is obtained; Whether to execute power dispatch control is determined based on the identification type result.

2. The method for inter-building energy control based on the Internet of Things according to claim 1 is characterized in that: Based on the comparison results, the actual energy consumption of the building is predicted to be abnormal, including: Obtain the actual energy consumption of each building, and calculate the corresponding actual energy consumption deviation value and maximum energy consumption deviation value based on the actual energy consumption and expected energy consumption; Calculate standard energy consumption deviation value; Compare the standard energy consumption deviation value with the maximum energy consumption deviation value; Determine whether the actual energy consumption of each building is normal based on the comparison results; Among them, if the maximum energy consumption deviation value is less than or equal to the standard energy consumption deviation value, it is determined that the actual energy consumption of each building is normal; If the maximum energy consumption deviation value is greater than the standard energy consumption deviation value, it is predicted that there is an abnormality in the actual energy consumption of the building. The positive or negative value of the maximum energy consumption deviation value will be obtained for judgment to determine whether to execute power dispatch control.

3. The method for inter-building energy control based on the Internet of Things according to claim 2 is characterized in that: Determining whether to execute power dispatch control based on the identification type result includes: If a peak period is identified, the type of the building to be analyzed is identified, and whether to perform the first power dispatch control is determined based on the identification result and the monitoring data; If the off-peak period is identified, the energy consumption deviation is determined to be normal; If a normal period is identified, the real-time room occupancy rate is obtained, the real-time room occupancy rate is determined, and whether to execute the first power dispatching control is determined based on the determination result.

4. The method for inter-building energy control based on the Internet of Things according to claim 3 is characterized in that: Identification of the type of building to be analyzed includes, Classify each building according to its function into the first allocation type and the second allocation type; Marking the building corresponding to the maximum energy consumption deviation value as the building to be analyzed; Identify the type of the building to be analyzed, and obtain a first identification result and a second identification result; Wherein, the first recognition result is that the building to be analyzed is of the first allocation type; The second recognition result is that the building to be analyzed is of the second allocation type.

5. The method for inter-building energy control based on the Internet of Things according to claim 3 is characterized in that: Determining whether to execute the first power dispatch control based on the identification result and the monitoring data includes: Determine energy consumption deviation based on the identification result; When the energy consumption deviation is abnormal, obtaining environmental data at each monitoring point in the building to be analyzed, and analyzing the environmental data; Determine the operating status of the energy equipment based on the analysis results; When the operating state of the energy equipment is normal, executing the first power dispatching control; When the operating status of energy equipment is abnormal, a maintenance prompt is issued; Among them, the identification results include a first identification result and a second identification result; under the first identification result, the energy consumption deviation is judged to be normal; under the second identification result, the energy consumption deviation is judged to be abnormal; the first power dispatching control is to turn on the corresponding equipment and allocate power.

6. The method for inter-building energy control based on the Internet of Things according to claim 1 is characterized in that: The execution mode of power dispatch determined by associating external climate data includes: Acquire external climate data, analyze the external climate data, and obtain a first analysis result and a second analysis result; executing a second power dispatching control based on the first analysis result, wherein the second power dispatching control is to distribute power to each device in the building; Under the second analysis result, the real-time sunlight exposure area corresponding to each space area in the building to be analyzed is obtained, and the percentage of the real-time sunlight exposure area to the total area of ​​the corresponding space area is calculated to obtain the real-time exposure ratio; Determine the real-time irradiation ratio according to the first standard irradiation ratio and the second standard irradiation ratio, and obtain a first determination result, a second determination result, and a third determination result; A fourth determination result is determined based on the second determination result and the actual impact ratio. Under the fourth determination result or the third determination result, an execution mode of power scheduling is selected based on the real-time temperature in any of the spatial areas.

7. The method for inter-building energy control based on the Internet of Things according to claim 6 is characterized in that: Analyzing the external climate data to obtain a first analysis result and a second analysis result includes: The external climate data includes real-time ambient temperature and real-time ambient humidity; Compare the real-time ambient temperature with the standard ambient temperature range, and compare the real-time ambient humidity with the standard ambient humidity range: If the real-time ambient temperature is not within the standard ambient temperature range or the real-time ambient humidity is not within the standard ambient humidity range, a first analysis result is obtained; If the real-time ambient temperature is within the standard ambient temperature range and the real-time ambient humidity is within the standard ambient humidity range, a second analysis result is obtained.

8. The method for inter-building energy control based on the Internet of Things according to claim 7 is characterized in that: The real-time exposure ratio is determined based on the first standard exposure ratio and the second standard exposure ratio: If the real-time irradiation ratio is less than the first standard irradiation ratio, a first determination result is obtained; If the real-time irradiation ratio is greater than or equal to the first standard irradiation ratio and less than or equal to the second standard irradiation ratio, a second determination result is obtained; If the real-time irradiation ratio is greater than the second standard irradiation ratio, a third determination result is obtained.

9. The method for inter-building energy control based on the Internet of Things according to claim 8 is characterized in that: The execution mode of selecting power dispatch based on the real-time temperature in any of the spatial areas includes: Under the fourth determination result or the third determination result, the real-time temperature in any of the spatial regions is obtained, and the real-time temperature is compared with the standard temperature range: If the real-time temperature is within the standard temperature range, the first energy storage scheduling is executed; If the real-time temperature is not within the standard temperature range, compare the real-time temperature with the standard temperature range, where: If the real-time temperature is greater than the maximum value of the standard temperature range, the mode conversion scheduling is executed; If the real-time temperature is lower than the minimum value of the standard temperature range, the second energy storage scheduling is executed.

10. The method for inter-building energy control based on the Internet of Things according to claim 9, characterized in that: The first energy storage dispatch is to not distribute electricity and shut down the temperature control load; The mode conversion scheduling is to switch the temperature control device from cooling mode to ventilation mode; The second energy storage dispatch is to distribute electricity and turn on the temperature control load.

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