An Internet of Things-based intelligent building energy management system

Abstract

The present invention discloses an intelligent building energy management system based on the Internet of Things, which relates to the technical field of energy management. The present invention includes: a public area energy data acquisition module, a public area energy loss assessment module, an air conditioning equipment analysis module, a transformer load analysis module, and a public area energy equipment processing module. Through the various sensors carried by the Internet of Things technology, the present invention can intelligently judge whether there are faults in the various components of the central air conditioning equipment, so as to be able to perform repairs in a timely manner, prevent the abnormal increase in the power consumption of the central air conditioning caused by component failures, and prevent the central air conditioning equipment from generating additional power consumption due to the too fast or too slow impeller speed of the cooling water pump by intelligently adjusting the impeller speed of the cooling water pump of the central air conditioning equipment. At the same time, by intelligently adjusting the number of turns of the high-voltage winding of each distribution transformer, additional energy losses of the distribution transformer due to low load and high load are prevented.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and particularly relates to an intelligent building energy management system based on the Internet of Things. Background Art

[0002] With the development of society, the energy consumption of various buildings during use continues to increase. Among them, due to the large number of people and long opening hours in public areas, the energy supply time in public areas is extremely long while the energy consumption is also extremely large. Due to the characteristic of the Internet of Things that everything is interconnected, it can conveniently and intelligently manage energy supply devices. If manual monitoring is adopted, it is not only difficult to monitor energy in a timely manner, but also difficult to monitor the inside of energy supply devices. Therefore, it is very necessary to study an intelligent energy management system for public areas based on the Internet of Things.

[0003] The prior art, such as a zero-carbon building intelligent management system based on the Internet of Things disclosed in the patent application with the publication number: CN116520732A, the system includes: a main control module, a photovoltaic module, a wind power module, a lighting module, a heating, ventilation and air conditioning (HVAC) module, and an electric vehicle module that are communicatively connected. The main control module includes a server, a converter, and a DC carrier module. The DC carrier module is directly connected to the photovoltaic module, the wind power module, the lighting module, the HVAC module, and the electric vehicle module. The present invention forms a DC carrier bridge through the cooperation of the converter and the DC carrier module, avoiding the energy loss in the traditional conversion between AC and DC, and realizing the interleaved voltage output of each module. On the premise of a fixed device switching period, the output pulse frequency is increased.

[0004] The prior art, such as a smart building energy consumption optimization system based on digital analysis disclosed in the patent application with the publication number: CN118014138A, the system includes: realizing the automatic control of building equipment through digital analysis to improve comfort and energy-saving effects; using artificial intelligence technology in intelligent analysis and decision-making to discover potential problems and propose solutions to improve management efficiency; establishing an early warning mechanism through a fault diagnosis algorithm to notify the management personnel to handle it in a timely manner; the early warning mechanism records the fault history of the equipment, providing reference for maintenance personnel, realizing the deep integration of new energy integration, and improving the comprehensive utilization rate of new energy.

[0005] As can be seen from the above solution, the current energy management system for public areas lacks the analysis of various energy supply devices in public area buildings. The power of energy supply devices varies dynamically in different stages, but such regulation is often lacking in various energy supply devices in public area buildings. On the one hand, it is easy to have a situation of excessive energy supply, resulting in energy waste in public areas and increasing the electricity expenses in public areas. On the other hand, it is easy to have a situation of insufficient energy supply, resulting in the devices powered by energy not being able to operate at the rated power, increasing the downtime rate of the devices powered by energy. Summary of the Invention

[0006] The purpose of the present invention is to provide an intelligent building energy management system based on the Internet of Things, which solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an intelligent building energy management system based on the Internet of Things, including: a public area energy data acquisition module, which is used to acquire the total power consumption of the central air-conditioning equipment of each building belonging to the public area in the current time period, the external environmental temperature at each monitoring time point, the cooling water temperature of the cooling water pump, the internal set temperature of each room, and acquire the current and voltage of each distribution transformer of each building belonging to the public area at each monitoring time point in the current time period.

[0008] A public area energy loss assessment module, which is used to analyze the abnormal coefficient of the equipment line power consumption of the central air-conditioning equipment of each building belonging to the public area, calculate the cooling efficiency coefficient of the cooling water pump of the central air-conditioning equipment of each building belonging to the public area, and evaluate the average load rate of each distribution transformer of each building belonging to the public area.

[0009] An air-conditioning equipment analysis module, which is used to acquire the external machine noise decibel value of the central air-conditioning equipment of each building belonging to the public area, evaluate the maintenance location of the central air-conditioning equipment of each building belonging to the public area, and analyze the impeller speed adjustment value of the cooling water pump of the central air-conditioning equipment of each building belonging to the public area.

[0010] A transformer load analysis module, which is used to screen each low-load distribution transformer and each high-load distribution transformer of each building belonging to the public area, calculate the reduced number of turns of the high-voltage winding of each low-load distribution transformer of each building belonging to the public area, and evaluate the increased number of turns of the high-voltage winding of each high-load distribution transformer of each building belonging to the public area.

[0011] The public area energy equipment processing module is used to send the reduced turns of the high-voltage windings of the low-load distribution transformers and the increased turns of the high-voltage windings of the high-load distribution transformers of each building in the public area to the person in charge of transformer maintenance, and send the maintenance locations of the central air-conditioning equipment and the impeller speed adjustment values of the cooling water pumps of each building in the public area to the person in charge of central air-conditioning maintenance.

[0012] Preferably, for analyzing the abnormal coefficient of the equipment line power consumption of the central air-conditioning equipment of each building in the public area, the specific analysis method is as follows: Obtain the volume a of each room of each building in the public area from the local database xn and the power consumption value A required for the central air-conditioning to adjust the unit temperature per unit volume, where x represents the number of each building, x = 1, 2,..., y, y is a positive integer greater than 2, n represents the number of each room, n = 1, 2,..., m, and m is a positive integer greater than 2.

[0013] According to the external environmental temperature b of the central air-conditioning equipment of each building in the public area at each monitoring time point xi and the internal set temperature c of each room xin , where i represents the number of each monitoring time point, i = 1, 2,..., j, and j is a positive integer greater than 2, calculate the estimated adjusted temperature power consumption value of the central air-conditioning equipment of each building in the public area in the current time period

[0014] According to the total power consumption d of the central air-conditioning equipment of each building in the public area in the current time period x , analyze the abnormal coefficient of the power consumption of the central air-conditioning equipment of each building in the public area where e represents the natural constant and y represents the number of buildings.

[0015] Preferably, for calculating the cooling efficiency coefficient of the cooling water pump of the central air-conditioning equipment of each building in the public area, the specific calculation method is as follows: Obtain the initial cooling water temperature t of the cooling water pump of the central air-conditioning equipment of each building in the public area from the local database x .

[0016] According to the cooling water temperature f of the cooling water pump of the central air-conditioning equipment of each building in the public area at each monitoring time point xi , calculate the cooling efficiency coefficient of the cooling water pump of the central air-conditioning equipment of each building in the public area where j represents the number of monitoring time points.

[0017] Preferably, for evaluating the average load rate of each distribution transformer of each building in the public area, the specific evaluation method is as follows: Obtain the rated load g of each distribution transformer of each building in the public area from the local databasexr , where r represents the number of each distribution transformer, r = 1, 2,..., s, and s is a positive integer greater than 2.

[0018] Calculate the actual load φ of each distribution transformer of each building in the public area at each monitoring time point xir .

[0019] Evaluate the average load rate of each distribution transformer of each building in the public area

[0020] Preferably, for calculating the actual load of each distribution transformer of each building in the public area at each monitoring time point, the specific calculation method is: based on the current h of each distribution transformer of each building in the public area at each monitoring time point xir and the voltage k xir , calculate the actual load φ of each distribution transformer of each building in the public area at each monitoring time point xir = h xir * k xir .

[0021] Preferably, for evaluating the maintenance location of the central air-conditioning equipment of each building in the public area, the specific evaluation method is: obtain the threshold of the abnormal coefficient of equipment line power consumption, the threshold of the external unit noise decibel value corresponding to each usage duration interval, and the usage duration of the central air-conditioning equipment of each building in the public area from the local database, and map to obtain the threshold of the abnormal coefficient of equipment line power consumption of the central air-conditioning equipment of each building in the public area.

[0022] If the abnormal coefficient of the equipment line power consumption of the central air-conditioning equipment of a certain building in the public area is greater than the threshold of the abnormal coefficient of equipment line power consumption, and the external unit noise decibel value of the central air-conditioning equipment of this building in the public area is greater than the threshold of the external unit noise decibel value, then the maintenance location of the central air-conditioning equipment of this building in the public area is the air-conditioning filter, evaporator and condenser.

[0023] If the abnormal coefficient of the equipment line power consumption of the central air-conditioning equipment of a certain building in the public area is greater than the threshold of the abnormal coefficient of equipment line power consumption, and the external unit noise decibel value of the central air-conditioning equipment of this building in the public area is less than or equal to the threshold of the external unit noise decibel value, then the maintenance location of the central air-conditioning equipment of this building in the public area is the evaporator and condenser.

[0024] If the abnormal coefficient of the equipment line power consumption of the central air-conditioning equipment of a certain building in the public area is less than or equal to the threshold of the abnormal coefficient of equipment line power consumption, and the external unit noise decibel value of the central air-conditioning equipment of this building in the public area is greater than the threshold of the external unit noise decibel value, then the maintenance location of the central air-conditioning equipment of this building in the public area is the air-conditioning filter.

[0025] Summarize the maintenance locations of the central air-conditioning equipment of each building belonging to the public area.

[0026] Preferably, for analyzing the impeller speed adjustment values of the cooling water pumps of the central air-conditioning equipment of each building belonging to the public area, the specific analysis method is as follows: Obtain the impeller speed adjustment values corresponding to each cooling efficiency coefficient interval from the local database, and map the cooling efficiency coefficients of the cooling water pumps of the central air-conditioning equipment of each building belonging to the public area to obtain the impeller speed adjustment values of the cooling water pumps of the central air-conditioning equipment of each building belonging to the public area.

[0027] Preferably, for screening each low-load distribution transformer and each high-load distribution transformer of each building belonging to the public area, the specific screening method is as follows: Obtain the appropriate load rate w of each distribution transformer of each building from the local database xr , the appropriate interval of the load evaluation coefficient, and the average load rate u of each distribution transformer of each building belonging to the public area in each historical time period xrp , where p represents the number of each historical time period, p = 1, 2,..., q, q is a positive integer greater than 2, and extract the maximum value and the minimum value of the appropriate interval of the load evaluation coefficient.

[0028] According to the average load rate of each distribution transformer of each building belonging to the public area Calculate the load evaluation coefficient of each distribution transformer of each building belonging to the public area

[0029]

[0030] Compare the load evaluation coefficient of each distribution transformer of each building belonging to the public area with the maximum value of the appropriate interval of the load evaluation coefficient. If the load evaluation coefficient of a certain distribution transformer of a certain building belonging to the public area is greater than the maximum value of the appropriate interval of the load evaluation coefficient, then mark this distribution transformer as a high-load distribution transformer. Otherwise, compare the load evaluation coefficient of this distribution transformer of this building belonging to the public area with the minimum value of the appropriate interval of the load evaluation coefficient. If the load evaluation coefficient of this distribution transformer of this building belonging to the public area is less than the minimum value of the appropriate interval of the load evaluation coefficient, then mark this distribution transformer as a low-load distribution transformer, so as to screen each low-load distribution transformer and each high-load distribution transformer of each building belonging to the public area.

[0031] Preferably, for calculating the reduced number of turns of the high-voltage winding of each low-load distribution transformer of each building belonging to the public area, the specific calculation method is as follows: Obtain the reduced number of turns corresponding to each load evaluation coefficient interval under low load from the local database.

[0032] According to the load evaluation coefficients of the distribution transformers of each building belonging to the public area, extract the load evaluation coefficients of the low-load distribution transformers of each building belonging to the public area, and map to obtain the reduced number of turns of the high-voltage windings of the low-load distribution transformers of each building belonging to the public area.

[0033] Preferably, for evaluating the increased number of turns of the high-voltage windings of the high-load distribution transformers of each building belonging to the public area, the specific evaluation method is: obtain the increased number of turns corresponding to each load evaluation coefficient interval under high load from the local database.

[0034] According to the load evaluation coefficients of the distribution transformers of each building belonging to the public area, extract the load evaluation coefficients of the high-load distribution transformers of each building belonging to the public area, and map to obtain the increased number of turns of the high-voltage windings of the high-load distribution transformers of each building belonging to the public area.

[0035] The beneficial effects of the present invention are as follows: (1) The public area energy data acquisition module of the present invention obtains the energy data of the central air-conditioning equipment and distribution transformers of each building belonging to the public area through various sensors carried by the Internet of Things, which is convenient for subsequent analysis.

[0036] (2) The public area energy loss evaluation module of the present invention analyzes whether there is abnormal energy loss in the central air-conditioning equipment and its cooling water pumps of each building belonging to the public area, and evaluates the average load rate of the distribution transformers of each building belonging to the public area, which is convenient for subsequent analysis.

[0037] (3) The air-conditioning equipment analysis module of the present invention, through the energy information of the central air-conditioning equipment of each building belonging to the public area obtained by the Internet of Things, judges whether there is abnormal power consumption loss in the central air-conditioning equipment, so as to intelligently detect the location where the central air-conditioning system needs to be repaired, prevent the central air-conditioning equipment from having abnormal power consumption loss due to its own aging and contamination, and intelligently judge whether the impeller speed of the cooling water pump of the central air-conditioning equipment is set unreasonably. On the one hand, prevent the impeller of the cooling water pump of the central air-conditioning equipment from rotating too fast, far exceeding the required speed, resulting in additional power consumption of the cooling water pump. On the other hand, prevent the impeller of the cooling water pump of the central air-conditioning equipment from rotating too slowly, resulting in damage to the central air-conditioning equipment.

[0038] (4) The transformer load analysis module of the present invention, through the Internet of Things, intelligently adjusts the number of turns of the high-voltage windings of the distribution transformers of each building belonging to the public area. On the one hand, prevent the distribution transformers of each building belonging to the public area from providing excessive electric energy due to low load, resulting in waste of electric energy. On the other hand, prevent the distribution transformers of each building belonging to the public area from having high load, which reduces the service life of the distribution transformers and is likely to cause a decrease in the power factor, resulting in an increase in electric energy loss and a reduction in the energy efficiency of the distribution transformers.

[0039] (5) The public area energy equipment processing module of the present invention notifies the person in charge of transformer maintenance and the person in charge of central air-conditioning equipment maintenance, facilitating the person in charge to carry out maintenance in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0041] Figure 1 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0043] Refer to Figure 1 As shown, the present invention provides an intelligent building energy management system based on the Internet of Things, including: a public area energy data acquisition module, a public area energy loss assessment module, an air-conditioning equipment analysis module, a transformer load analysis module, a public area energy equipment processing module, and a local database.

[0044] It should be noted that the public area energy data acquisition module is connected to the public area energy loss assessment module, the public area energy loss assessment module is connected to the air-conditioning equipment analysis module and the transformer load analysis module, the public area energy equipment processing module is connected to the air-conditioning equipment analysis module and the transformer load analysis module, and the local database is connected to the public area energy loss assessment module, the air-conditioning equipment analysis module, and the transformer load analysis module.

[0045] It should also be noted that the local database is used to store the volume of each room in each building belonging to the public area, the power consumption value required for the central air conditioner to adjust the unit temperature per unit volume, the rated load of each distribution transformer in each building belonging to the public area, the threshold of the abnormal coefficient of the equipment line power consumption corresponding to each usage duration interval, the threshold of the external unit noise decibel value, the usage duration of the central air conditioner equipment in each building belonging to the public area, the adjustment value of the impeller speed corresponding to each cooling efficiency coefficient interval, the appropriate load rate of each distribution transformer in each building, the appropriate interval of the load evaluation coefficient, the average load rate of each distribution transformer in each building belonging to the public area in each historical time period, the number of turns reduced corresponding to each load evaluation coefficient interval under low load, and the number of turns increased corresponding to each load evaluation coefficient interval under high load.

[0046] The public area energy data acquisition module is used to acquire the total power consumption of the central air conditioner equipment in each building belonging to the public area in the current time period, the external environmental temperature at each monitoring time point, the cooling water temperature of the cooling water pump, the internal set temperature of each room, and acquire the current and voltage of each distribution transformer in each building belonging to the public area at each monitoring time point in the current time period.

[0047] In a specific embodiment, the method for acquiring the total power consumption of the central air conditioner equipment in each building belonging to the public area in the current time period, the external environmental temperature at each monitoring time point, the cooling water temperature of the cooling water pump, and the internal set temperature of each room is as follows: the total power consumption of the central air conditioner equipment in each building belonging to the public area in the current time period can be acquired through the control system of the central air conditioner equipment, and the external environmental temperature at each monitoring time point, the cooling water temperature of the cooling water pump, and the internal set temperature of each room of the central air conditioner equipment in each building belonging to the public area in the current time period can be acquired through a temperature detector.

[0048] In a specific embodiment, the method for acquiring the current and voltage of each distribution transformer in each building belonging to the public area at each monitoring time point in the current time period is as follows: the voltage of each distribution transformer in each building belonging to the public area at each monitoring time point in the current time period is acquired through a voltmeter, and the current of each distribution transformer in each building belonging to the public area at each monitoring time point in the current time period is acquired through an ammeter.

[0049] The public area energy data acquisition module of the present invention acquires the energy data of the central air conditioner equipment and distribution transformers in each building belonging to the public area through various sensors carried by the Internet of Things, which is convenient for subsequent analysis.

[0050] The public area energy loss assessment module is used to analyze the abnormal coefficient of the power consumption of the equipment lines of the central air-conditioning equipment in each building belonging to the public area, calculate the cooling efficiency coefficient of the cooling water pumps of the central air-conditioning equipment in each building belonging to the public area, and evaluate the average load rate of each distribution transformer in each building belonging to the public area.

[0051] In a specific embodiment of the present invention, the method for specifically analyzing the abnormal coefficient of the power consumption of the equipment lines of the central air-conditioning equipment in each building belonging to the public area is as follows: Obtain the volume a of each room in each building belonging to the public area from the local database xn and the power consumption value A required for the central air-conditioning to adjust the unit temperature per unit volume, where x represents the number of each building, x = 1, 2,..., y, y is a positive integer greater than 2, n represents the number of each room, n = 1, 2,..., m, and m is a positive integer greater than 2.

[0052] According to the external environmental temperature b of the central air-conditioning equipment in each building belonging to the public area at each monitoring time point xi and the internal set temperature c of each room xin , where i represents the number of each monitoring time point, i = 1, 2,..., j, and j is a positive integer greater than 2, calculate the estimated adjusted temperature power consumption value of the central air-conditioning equipment in each building belonging to the public area in the current time period

[0053] According to the total power consumption d of the central air-conditioning equipment in each building belonging to the public area in the current time period x , analyze the abnormal coefficient of the power consumption of the central air-conditioning equipment in each building belonging to the public area where e represents the natural constant and y represents the number of buildings.

[0054] In a specific embodiment of the present invention, the method for specifically calculating the cooling efficiency coefficient of the cooling water pumps of the central air-conditioning equipment in each building belonging to the public area is as follows: Obtain the initial cooling water temperature t of the cooling water pumps of the central air-conditioning equipment in each building belonging to the public area from the local database x .

[0055] According to the cooling water temperature f of the cooling water pumps of the central air-conditioning equipment in each building belonging to the public area at each monitoring time point xi , calculate the cooling efficiency coefficient of the cooling water pumps of the central air-conditioning equipment in each building belonging to the public area where j represents the number of monitoring time points.

[0056] In a specific embodiment of the present invention, the method for specifically evaluating the average load rate of each distribution transformer in each building belonging to the public area is as follows: Obtain the rated load g of each distribution transformer in each building belonging to the public area from the local databasexr , where r represents the numbers of each distribution transformer, r = 1, 2,..., s, and s is a positive integer greater than 2.

[0057] Calculate the actual load φ of each distribution transformer of each building in the public area at each monitoring time point xir .

[0058] Evaluate the average load rate of each distribution transformer of each building in the public area

[0059] The public area energy loss evaluation module of the present invention analyzes whether there are abnormal energy losses in the central air-conditioning equipment and its cooling water pumps of each building in the public area, and evaluates the average load rate of each distribution transformer of each building in the public area, facilitating subsequent analysis.

[0060] The air-conditioning equipment analysis module is used to obtain the external machine noise decibel value of the central air-conditioning equipment of each building in the public area, evaluate the maintenance location of the central air-conditioning equipment of each building in the public area, and analyze the impeller speed adjustment value of the cooling water pump of the central air-conditioning equipment of each building in the public area.

[0061] In a specific embodiment, the method for obtaining the external machine noise decibel value of the central air-conditioning equipment of each building in the public area is as follows: Obtain the external machine noise decibel value of the central air-conditioning equipment of each building in the public area through a decibel detector installed on the external machine.

[0062] It should be noted that the maintenance locations include: evaporator, condenser, and air-conditioning filter.

[0063] In a specific embodiment of the present invention, the method for calculating the actual load of each distribution transformer of each building in the public area at each monitoring time point is as follows: Based on the current h of each distribution transformer of each building in the public area at each monitoring time point xir and voltage k xir , calculate the actual load φ of each distribution transformer of each building in the public area at each monitoring time point xir = h xir * k xir .

[0064] In a specific embodiment of the present invention, the method for evaluating the maintenance location of the central air-conditioning equipment of each building in the public area is as follows: Obtain the equipment line power consumption anomaly coefficient threshold, external machine noise decibel value threshold, and the usage duration of the central air-conditioning equipment of each building in the public area corresponding to each usage duration interval from the local database, and map to obtain the equipment line power consumption anomaly coefficient threshold of the central air-conditioning equipment of each building in the public area.

[0065] If the abnormal coefficient of the equipment line power consumption of the central air-conditioning equipment of a certain building to which the public area belongs is greater than the abnormal coefficient threshold of the equipment line power consumption, and the external unit noise decibel value of the central air-conditioning equipment of the building to which the public area belongs is greater than the external unit noise decibel value threshold, then the maintenance locations of the central air-conditioning equipment of the building to which the public area belongs are the air-conditioning filter, evaporator and condenser.

[0066] If the abnormal coefficient of the equipment line power consumption of the central air-conditioning equipment of a certain building to which the public area belongs is greater than the abnormal coefficient threshold of the equipment line power consumption, and the external unit noise decibel value of the central air-conditioning equipment of the building to which the public area belongs is less than or equal to the external unit noise decibel value threshold, then the maintenance locations of the central air-conditioning equipment of the building to which the public area belongs are the evaporator and condenser.

[0067] If the abnormal coefficient of the equipment line power consumption of the central air-conditioning equipment of a certain building to which the public area belongs is less than or equal to the abnormal coefficient threshold of the equipment line power consumption, and the external unit noise decibel value of the central air-conditioning equipment of the building to which the public area belongs is greater than the external unit noise decibel value threshold, then the maintenance location of the central air-conditioning equipment of the building to which the public area belongs is the air-conditioning filter.

[0068] Summarize the maintenance locations of the central air-conditioning equipment of each building to which the public area belongs.

[0069] In a specific embodiment of the present invention, for analyzing the impeller speed adjustment value of the cooling water pump of the central air-conditioning equipment of each building to which the public area belongs, the specific analysis method is as follows: Obtain the impeller speed adjustment value corresponding to each cooling efficiency coefficient interval from the local database, and map the cooling efficiency coefficient of the cooling water pump of the central air-conditioning equipment of each building to which the public area belongs to obtain the impeller speed adjustment value of the cooling water pump of the central air-conditioning equipment of each building to which the public area belongs.

[0070] The air-conditioning equipment analysis module of the present invention obtains the energy information of the central air-conditioning equipment of each building to which the public area belongs through the Internet of Things, judges whether there is abnormal power consumption loss in the central air-conditioning equipment, so as to intelligently detect the location where the central air-conditioning system needs maintenance, prevent abnormal power consumption loss of the central air-conditioning equipment due to its own aging and contamination, and intelligently judge whether the impeller speed of the cooling water pump of the central air-conditioning equipment is set unreasonably. On the one hand, prevent the impeller of the cooling water pump of the central air-conditioning equipment from rotating too fast, far exceeding the required speed, resulting in additional power consumption of the cooling water pump. On the other hand, prevent the impeller of the cooling water pump of the central air-conditioning equipment from rotating too slowly, resulting in damage to the central air-conditioning equipment.

[0071] The transformer load analysis module is used to screen the low-load distribution transformers and high-load distribution transformers of each building belonging to the public area, calculate the reduced number of turns of the high-voltage windings of the low-load distribution transformers of each building belonging to the public area, and evaluate the increased number of turns of the high-voltage windings of the high-load distribution transformers of each building belonging to the public area.

[0072] In a specific embodiment of the present invention, the method for screening the low-load distribution transformers and high-load distribution transformers of each building belonging to the public area is as follows: Obtain the appropriate load rate w of each distribution transformer of each building from the local database xr , the appropriate interval of the load evaluation coefficient, and the average load rate u of each distribution transformer of each building belonging to the public area in each historical time period xrp , where p represents the number of each historical time period, p = 1, 2,..., q, q is a positive integer greater than 2, and extract the maximum value and minimum value of the appropriate interval of the load evaluation coefficient.

[0073] According to the average load rate of each distribution transformer of each building belonging to the public area Calculate the load evaluation coefficient of each distribution transformer of each building belonging to the public area

[0074]

[0075] Compare the load evaluation coefficient of each distribution transformer of each building belonging to the public area with the maximum value of the appropriate interval of the load evaluation coefficient. If the load evaluation coefficient of a certain distribution transformer of a certain building belonging to the public area is greater than the maximum value of the appropriate interval of the load evaluation coefficient, then mark this distribution transformer as a high-load distribution transformer. Otherwise, compare the load evaluation coefficient of this distribution transformer of this building belonging to the public area with the minimum value of the appropriate interval of the load evaluation coefficient. If the load evaluation coefficient of this distribution transformer of this building belonging to the public area is less than the minimum value of the appropriate interval of the load evaluation coefficient, then mark this distribution transformer as a low-load distribution transformer, so as to screen the low-load distribution transformers and high-load distribution transformers of each building belonging to the public area.

[0076] In a specific embodiment of the present invention, the method for calculating the reduced number of turns of the high-voltage windings of the low-load distribution transformers of each building belonging to the public area is as follows: Obtain the reduced number of turns corresponding to each load evaluation coefficient interval under low load from the local database.

[0077] According to the load evaluation coefficient of each distribution transformer of each building belonging to the public area, extract the load evaluation coefficient of each low-load distribution transformer of each building belonging to the public area, and map to obtain the reduced number of turns of the high-voltage windings of each low-load distribution transformer of each building belonging to the public area.

[0078] In a specific embodiment of the present invention, the method for evaluating the increased turns of the high-voltage windings of each high-load distribution transformer in each building belonging to the public area is as follows: Obtain the increased turns corresponding to each load evaluation coefficient interval under high load from the local database.

[0079] According to the load evaluation coefficients of each distribution transformer in each building belonging to the public area, extract the load evaluation coefficients of each high-load distribution transformer in each building belonging to the public area, and map to obtain the increased turns of the high-voltage windings of each high-load distribution transformer in each building belonging to the public area.

[0080] The transformer load analysis module of the present invention intelligently adjusts the turns of the high-voltage windings of each distribution transformer in each building belonging to the public area through the Internet of Things. On the one hand, it prevents the waste of electric energy caused by excessive power supply due to low load of each distribution transformer in each building belonging to the public area. On the other hand, it prevents each distribution transformer in each building belonging to the public area from having a high load, which reduces the service life of the distribution transformer and is likely to cause a decrease in the power factor, resulting in an increase in power loss and a reduction in the energy efficiency of the distribution transformer.

[0081] The public area energy equipment processing module is used to send the reduced turns of the high-voltage windings of each low-load distribution transformer and the increased turns of the high-voltage windings of each high-load distribution transformer in each building belonging to the public area to the transformer maintenance person in charge, and send the maintenance locations of the central air-conditioning equipment and the impeller speed adjustment values of the cooling water pumps in each building belonging to the public area to the central air-conditioning maintenance person in charge.

[0082] The public area energy equipment processing module of the present invention notifies the transformer maintenance person in charge and the central air-conditioning equipment maintenance person in charge, facilitating the person in charge to carry out maintenance in a timely manner.

[0083] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements or use similar methods to replace the specific embodiments described, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. An intelligent building energy management system based on the Internet of Things, characterized in that: include: The public area energy data acquisition module is used to obtain the total power consumption of the central air-conditioning equipment of each building in the public area in the current time period, the external ambient temperature at each monitoring time point, the cooling water temperature of the cooling water pump, and the internal set temperature of each room, and obtain the current and voltage of each distribution transformer of each building in the public area in the current time period at each monitoring time point; The public area energy loss assessment module is used to analyze the abnormal power consumption coefficient of the equipment lines of the central air-conditioning equipment of each building in the public area, calculate the cooling efficiency coefficient of the cooling water pump of the central air-conditioning equipment of each building in the public area, and assess the average load rate of each distribution transformer in each building in the public area; The specific analysis method of analyzing the abnormal power consumption coefficient of the equipment line of the central air-conditioning equipment of each building in the public area is as follows: Get the volume a of each room in each building in the public area from the local database xn , the power consumption value A required for the central air conditioner to adjust the unit temperature of the unit volume, where x represents the number of each building, x = 1, 2, ..., y, y is a positive integer greater than 2, and n represents the number of each room, n = 1, 2, ..., m, m is a positive integer greater than 2; According to the external ambient temperature b of the central air-conditioning equipment of each building in the public area at each monitoring time point xi 、The internal set temperature of each room c xin , where i represents the number of each monitoring time point, i = 1, 2, ..., j, j is a positive integer greater than 2, and the estimated power consumption value of the central air-conditioning equipment in each building in the public area in the current time period is calculated Based on the total power consumption d of the central air-conditioning equipment of each building in the public area during the current time period x , analyze the power consumption anomaly coefficient of the central air-conditioning equipment in each building in the public area Where e represents the natural constant and y represents the number of buildings; The specific calculation method for calculating the cooling efficiency coefficient of the cooling water pump of the central air-conditioning equipment of each building in the public area is as follows: Obtain the initial cooling water temperature t of the cooling water pump of the central air-conditioning equipment of each building in the public area from the local database x ; According to the cooling water temperature f of the cooling water pump of the central air-conditioning equipment of each building in the public area at each monitoring time point xi , calculate the cooling efficiency coefficient of the cooling water pump of the central air-conditioning equipment of each building in the public area Where j represents the number of monitoring time points; The air conditioning equipment analysis module is used to obtain the decibel value of the outdoor unit noise of the central air conditioning equipment of each building in the public area, evaluate the maintenance location of the central air conditioning equipment of each building in the public area, and analyze the impeller speed adjustment value of the cooling water pump of the central air conditioning equipment of each building in the public area; The specific evaluation method for evaluating the maintenance location of the central air-conditioning equipment in each building in the public area is as follows: Obtain the device line power consumption abnormal coefficient threshold, the outdoor unit noise decibel value threshold, and the usage time of the central air-conditioning equipment of each building in the public area corresponding to each usage time interval from the local database, and map to obtain the device line power consumption abnormal coefficient threshold of the central air-conditioning equipment of each building in the public area; If the equipment line power consumption abnormality coefficient of the central air-conditioning equipment of a building in the public area is greater than the equipment line power consumption abnormality coefficient threshold, and the outdoor unit noise decibel value of the central air-conditioning equipment of the building in the public area is greater than the outdoor unit noise decibel value threshold, then the maintenance locations of the central air-conditioning equipment of the building in the public area are the air-conditioning filter, evaporator and condenser; If the equipment line power consumption abnormality coefficient of the central air-conditioning equipment of a building in the public area is greater than the equipment line power consumption abnormality coefficient threshold, and the outdoor unit noise decibel value of the central air-conditioning equipment of the building in the public area is less than or equal to the outdoor unit noise decibel value threshold, then the maintenance location of the central air-conditioning equipment of the building in the public area is the evaporator and the condenser; If the equipment line power consumption abnormality coefficient of the central air-conditioning equipment of a building in the public area is less than or equal to the equipment line power consumption abnormality coefficient threshold, and the outdoor unit noise decibel value of the central air-conditioning equipment of the building in the public area is greater than the outdoor unit noise decibel value threshold, then the maintenance location of the central air-conditioning equipment of the building in the public area is the air-conditioning filter; Summarize the maintenance locations of central air-conditioning equipment in each building in the public area; The specific analysis method of analyzing the impeller speed adjustment value of the cooling water pump of the central air-conditioning equipment of each building in the public area is as follows: Obtain the impeller speed adjustment value corresponding to each cooling efficiency coefficient interval from the local database, and map the impeller speed adjustment value of the cooling water pump of the central air-conditioning equipment of each building in the public area according to the cooling efficiency coefficient of the cooling water pump of the central air-conditioning equipment of each building in the public area; The transformer load analysis module is used to screen the low-load distribution transformers and high-load distribution transformers of the buildings in the public area, calculate the reduced number of turns of the high-voltage winding of the low-load distribution transformers of the buildings in the public area, and evaluate the increased number of turns of the high-voltage winding of the high-load distribution transformers of the buildings in the public area; The public area energy equipment processing module is used to send the reduced number of turns of the high-voltage winding of each low-load distribution transformer and the increased number of turns of the high-voltage winding of each high-load distribution transformer in each building in the public area to the transformer maintenance person in charge, and send the maintenance position of the central air-conditioning equipment in each building in the public area and the impeller speed adjustment value of the cooling water pump to the central air-conditioning maintenance person in charge.

2. According to claim 1, the intelligent building energy management system based on the Internet of Things is characterized in that: The specific evaluation method for evaluating the average load rate of each distribution transformer in each building in the public area is as follows: Get the rated load g of each distribution transformer of each building in the public area from the local database xr , where r represents the serial number of each distribution transformer, r = 1, 2, ..., s, s is a positive integer greater than 2; Calculate the actual load φ of each distribution transformer in each building in the public area at each monitoring time point xir ; Evaluate the average load factor of each distribution transformer in each building in the public area 3. The intelligent building energy management system based on the Internet of Things according to claim 2 is characterized in that: The specific calculation method for calculating the actual load of each distribution transformer of each building in the public area at each monitoring time point is as follows: According to the current h of each distribution transformer of each building in the public area at each monitoring time point xir and voltage k xir , calculate the actual load φ of each distribution transformer in each building in the public area at each monitoring time point xir =h xir *k xir .

4. The intelligent building energy management system based on the Internet of Things according to claim 2 is characterized in that: The specific screening method for screening each low-load distribution transformer and each high-load distribution transformer of each building in the public area is as follows: Obtain the appropriate load factor w of each distribution transformer in each building from the local database xr , the appropriate range of load assessment coefficients, and the average load rate u of each distribution transformer in each building in the public area in each historical period xrp , where p represents the number of each historical time period, p = 1, 2, ..., q, q is a positive integer greater than 2, and the maximum and minimum values ​​of the appropriate interval of the load assessment coefficient are extracted; Based on the average load rate of each distribution transformer in each building in the public area Calculate the load assessment factor for each distribution transformer in each building belonging to the public area The load assessment coefficient of each distribution transformer of each building belonging to the public area is compared with the maximum value of the suitable interval of the load assessment coefficient. If the load assessment coefficient of a distribution transformer of a building belonging to the public area is greater than the maximum value of the suitable interval of the load assessment coefficient, the distribution transformer is marked as a high-load distribution transformer. Otherwise, the load assessment coefficient of the distribution transformer of the building belonging to the public area is compared with the minimum value of the suitable interval of the load assessment coefficient. If the load assessment coefficient of the distribution transformer of the building belonging to the public area is less than the minimum value of the suitable interval of the load assessment coefficient, the distribution transformer is marked as a low-load distribution transformer, thereby screening the low-load distribution transformers and high-load distribution transformers of the buildings belonging to the public area.

5. The smart building energy management system based on the Internet of Things according to claim 4 is characterized in that: The specific calculation method for calculating the reduced number of turns of the high-voltage winding of each low-load distribution transformer in each building in the public area is as follows: Obtain the reduced number of turns corresponding to each load evaluation coefficient interval under low load from the local database; According to the load assessment coefficient of each distribution transformer of each building belonging to the public area, the load assessment coefficient of each low-load distribution transformer of each building belonging to the public area is extracted, and the reduced number of turns of the high-voltage winding of each low-load distribution transformer of each building belonging to the public area is mapped.

6. The smart building energy management system based on the Internet of Things according to claim 4 is characterized in that: The specific evaluation method for evaluating the number of turns of the high-voltage winding of each high-load distribution transformer in each building in the public area is as follows: Obtain the number of lifting turns corresponding to each load evaluation coefficient interval under high load from the local database; According to the load assessment coefficient of each distribution transformer of each building belonging to the public area, the load assessment coefficient of each high-load distribution transformer of each building belonging to the public area is extracted, and the increased number of turns of the high-voltage winding of each high-load distribution transformer of each building belonging to the public area is mapped.

Images