Building energy-saving system and method based on Internet

Abstract

The invention provides an Internet-based building energy-saving system and method, and the method comprises the steps: carrying out the networking detection of the power utilization state data of all power utilization clusters in a building, so as to judge whether the power utilization clusters are in an overload power consumption working state or not; monitoring and analyzing external environment parameter data of the power utilization cluster in the overload power consumption working state to obtain respective allowed adjustment operation state information of all the power utilization equipment subordinate to the power utilization cluster in the overload power consumption working state, and determining the capacity condition of allowing energy-saving adjustment of the corresponding power utilization equipment; and monitoring and analyzing internal environment parameter data corresponding to the electricity utilization cluster of which the operation state is adjusted to obtain internal environment change trend information of the building so as to determine respective optimal operation state adjustment target information of all the subordinate electricity utilization equipment of the electricity utilization cluster, thereby performing networking linkage operation control on the electricity utilization equipment, and improving the utilization rate of the electricity utilization cluster. In this way, independent energy-saving control is carried out on illumination and refrigeration in the building, and the energy-saving sustainability of the building is improved.

Description

Technical Field

[0001] The present invention relates to the field of green smart buildings, and in particular to an Internet-based building energy-saving system and method. Background Art

[0002] Large buildings such as office buildings consume a lot of electricity in their daily operations to maintain their normal operation. Generally speaking, indoor lighting and cooling of buildings are the main sources of electricity consumption. In order to realize the intelligent operation of buildings, centralized and unified control of lighting equipment and refrigeration equipment has been realized inside existing buildings, that is, all lighting equipment and all refrigeration equipment inside the building are automatically controlled by the Internet. However, the existing control of lighting equipment and refrigeration equipment inside buildings is carried out according to a fixed mode, which makes it impossible to independently control the lighting equipment and refrigeration equipment in a personalized manner, and it is impossible to adjust the lighting equipment and refrigeration equipment adaptively and in a targeted manner according to changes in the external environment of the building. It is impossible to effectively balance reducing the energy consumption of lighting equipment and refrigeration equipment and ensuring the comfort of the indoor office environment of the building, reducing the effectiveness and sustainability of energy conservation and emission reduction in buildings. Summary of the invention

[0003] The purpose of the present invention is to provide an Internet-based building energy-saving system and method, which detects the power consumption status data of all power consumption clusters in a building through networking, so as to judge whether the power consumption cluster is in an overloaded power consumption working state, and determine the equipment objects for subsequent energy-saving adjustment; monitor and analyze the external environmental parameter data of the power consumption cluster in the overloaded power consumption working state, obtain the respective allowed adjustment operation status information of all power consumption equipment under the power consumption cluster in the overloaded power consumption working state, determine the margin situation of the corresponding power consumption equipment for energy-saving adjustment, and provide adjustment basis for the subsequent reduction of power consumption of the power consumption equipment; also monitor and analyze the internal environmental parameter data corresponding to the power consumption cluster whose operating state is adjusted, obtain the internal environment change trend information of the building, and determine the optimal operation state adjustment target information of all power consumption equipment under the power consumption cluster, so as to perform networking linkage operation control on the power consumption equipment, so as to perform independent energy-saving control on the lighting and refrigeration aspects inside the building, effectively take into account the reduction of lighting and refrigeration energy consumption and the guarantee of the indoor environmental comfort of the building, and improve the sustainability of building energy conservation.

[0004] The present invention is achieved through the following technical solutions:

[0005] An Internet-based building energy-saving system, comprising:

[0006] The power consumption network detection module is used to perform distributed network detection on all power consumption clusters in the building to obtain the power consumption status data of all power consumption clusters;

[0007] A power consumption status identification module, used to analyze the power consumption status data to determine whether the power consumption cluster is in an overloaded power consumption working state;

[0008] The external environment monitoring module is used to monitor the external environment of the building where the power consumption cluster is located in the overloaded power consumption working state, and obtain the corresponding external environment parameter data;

[0009] The device adjustment-allowed state determination module is used to analyze the external environmental parameter data to obtain the adjustment-allowed operation state information of all the power-consuming devices under the power-consuming cluster in the overloaded power-consuming working state;

[0010] The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain the corresponding internal environment parameter data; analyze the internal environment parameter data to obtain the trend information of the internal environment change of the building;

[0011] The equipment linkage operation control module is used to determine the optimal operation state adjustment target information of all the power-consuming equipment under the power consumption cluster based on the internal environment change trend information of the building, so as to perform network linkage operation control on all the power-consuming equipment under the power consumption cluster.

[0012] Optionally, the power consumption network detection module is used to perform distributed network detection on all power consumption clusters in the building to obtain power consumption status data of all power consumption clusters, including:

[0013] Based on the power port addresses of the lighting cluster and the air-conditioning cluster inside the building, a distributed networked power consumption detection is performed on all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster to obtain power consumption status data of all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster; wherein the power consumption status data includes the electric energy received by each of the lighting devices and the air-conditioning devices from the power grid and the conversion efficiency data of the electric energy;

[0014] The power consumption state identification module is used to analyze the power consumption state data to determine whether the power consumption cluster is in an overloaded power consumption working state, including:

[0015] The power consumption status data is analyzed to obtain the power load change information generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; wherein the power load change information includes the average power load value and the power load fluctuation change rate generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; and based on the power load change information, it is determined whether the lighting cluster and the air-conditioning cluster are respectively in an overloaded power consumption working state.

[0016] Optionally, the external environment monitoring module is used to monitor the external environment of the building where the power consumption cluster in the overloaded power consumption working state is located, and obtain corresponding external environment parameter data, including:

[0017] Perform natural light monitoring on the external environment of the building where the lighting cluster in the overloaded power-consuming working state is located to obtain natural light parameter data of the corresponding external environment; wherein the natural light parameter data includes natural light intensity and angle data;

[0018] Monitor the temperature and humidity of the external environment of the building where the air-conditioning cluster is located in an overloaded power-consuming working state, and obtain the corresponding temperature and humidity change data of the external environment;

[0019] The device adjustment-allowed state determination module is used to analyze the external environment parameter data to obtain the adjustment-allowed operation state information of all power-consuming devices under the power-consuming cluster in the overloaded power-consuming working state, including:

[0020] Analyze the natural lighting parameter data to obtain natural lighting improvement information of the external environment of the building where the lighting cluster in the overloaded power consumption working state is located, thereby determining the allowable reduction of lighting brightness information of the lighting cluster in the overloaded power consumption working state, and use this as the allowable adjustment operation state information of the lighting cluster;

[0021] The temperature and humidity change data are analyzed to obtain the heat transfer rate from the external environment of the building to the internal environment of the building, thereby determining the allowable cooling temperature increase information of the air-conditioning cluster in an overloaded and power-consuming working state, which is used as the allowable adjustment operation status information of the air-conditioning cluster.

[0022] Optionally, the internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located to obtain corresponding internal environment parameter data; analyze the internal environment parameter data to obtain the internal environment change trend information of the building, including:

[0023] Monitor the internal environment of the building where the lighting cluster whose lighting brightness is reduced and the air-conditioning cluster whose cooling temperature is increased are located, and obtain indoor lighting brightness change data and indoor temperature change data of different areas of the corresponding internal environment; analyze the indoor lighting brightness change data and the indoor temperature change data to obtain indoor lighting brightness uniformity change trend information and indoor temperature uniformity change trend information of the internal environment;

[0024] The equipment linkage operation control module is used to determine the optimal operation state adjustment target information of all the power-consuming devices under the power consumption cluster based on the internal environment change trend information of the building, so as to perform network linkage operation control on all the power-consuming devices under the power consumption cluster, including:

[0025] Based on the indoor lighting brightness uniformity change trend information and the indoor temperature uniformity change trend information, the optimal lighting direction adjustment target information of all the lighting devices under the lighting cluster and the optimal cooling air output rate and direction adjustment target information of all the air-conditioning devices under the air-conditioning cluster are respectively determined, so as to send operation control instructions to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster based on the Internet gateways corresponding to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster.

[0026] Optionally, the internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain corresponding internal environment parameter data, including:

[0027] The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain the indoor lighting brightness value and indoor temperature value of different areas of the corresponding internal environment;

[0028] Compare the indoor lighting brightness value and indoor temperature value of each area with the indoor lighting brightness value and indoor temperature value corresponding to the previous data collection moment;

[0029] The data collection frequency adjustment coefficient is obtained according to the quantitative relationship between the indoor lighting brightness value and the indoor temperature value of each area and the indoor lighting brightness value and the indoor temperature value corresponding to the previous data collection time;

[0030] The data acquisition frequency adjustment coefficient is obtained by the following formula:

[0031]

[0032] Where Y represents the data collection frequency adjustment coefficient; n represents the number of times the indoor lighting brightness value and indoor temperature value corresponding to the area are collected; L i and T i They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-th indoor lighting brightness value and indoor temperature value data collection respectively; L i-1 and T i-1 They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-1th indoor lighting brightness value and indoor temperature value data collection respectively; Lb represents the standard deviation of the indoor lighting brightness values ​​corresponding to n acquisitions; L represents the indoor lighting brightness value corresponding to the current acquisition; T b represents the standard deviation of the indoor temperature values ​​corresponding to n acquisitions; T represents the indoor temperature value corresponding to the current acquisition;

[0033] Comparing the data acquisition frequency adjustment coefficient with a preset adjustment coefficient threshold;

[0034] When the data collection frequency adjustment coefficient is lower than the preset adjustment coefficient threshold, the data collection frequency of the indoor lighting brightness value and the indoor temperature value is not adjusted;

[0035] When the data acquisition frequency adjustment coefficient is not lower than the preset adjustment coefficient threshold, the data acquisition frequency of the indoor lighting brightness value and the indoor temperature value is adjusted using the data acquisition frequency adjustment coefficient to obtain an adjusted data acquisition frequency;

[0036] Among them, the adjusted data collection frequency is obtained by the following formula:

[0037]

[0038] Where F represents the data collection frequency after adjustment; F0 represents the data collection frequency before adjustment; Y represents the data collection frequency adjustment coefficient; F x Indicates the data collection frequency before adjustment corresponding to the last data collection frequency;

[0039] The data collection of indoor lighting brightness values ​​and indoor temperature values ​​in the corresponding area is controlled according to the adjusted data collection frequency.

[0040] An Internet-based building energy-saving method, comprising:

[0041] Conduct distributed networking detection on all power consumption clusters in the building to obtain power consumption status data of all power consumption clusters; analyze the power consumption status data to determine whether the power consumption cluster is in an overloaded power consumption working state;

[0042] Monitor the external environment of the building where the power consumption cluster in the overloaded power consumption working state is located to obtain corresponding external environment parameter data; analyze the external environment parameter data to obtain the respective adjustable operation status information of all power consumption equipment under the power consumption cluster in the overloaded power consumption working state;

[0043] The internal environment of the building where the power consumption cluster whose operating state is adjusted is located is monitored to obtain corresponding internal environment parameter data; the internal environment parameter data is analyzed to obtain information on the changing trend of the internal environment of the building; based on the information on the changing trend of the internal environment of the building, the optimal operating state adjustment target information of all the power consumption equipment under the power consumption cluster is determined, so as to perform networked linkage operation control for all the power consumption equipment under the power consumption cluster.

[0044] Optionally, performing distributed networking detection on all power consumption clusters in the building to obtain power consumption status data of all power consumption clusters; analyzing the power consumption status data to determine whether the power consumption cluster is in an overloaded power consumption working state, including:

[0045] Based on the power port addresses of the lighting cluster and the air-conditioning cluster inside the building, a distributed networked power consumption detection is performed on all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster to obtain power consumption status data of all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster; wherein the power consumption status data includes the electric energy received by each of the lighting devices and the air-conditioning devices from the power grid and the conversion efficiency data of the electric energy;

[0046] The power consumption status data is analyzed to obtain the power load change information generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; wherein the power load change information includes the average power load value and the power load fluctuation change rate generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; and based on the power load change information, it is determined whether the lighting cluster and the air-conditioning cluster are respectively in an overloaded power consumption working state.

[0047] Optionally, the external environment of the building where the power consumption cluster in the overloaded power consumption working state is located is monitored to obtain corresponding external environment parameter data; the external environment parameter data is analyzed to obtain the respective adjustable operation status information of all power consumption devices under the power consumption cluster in the overloaded power consumption working state, including:

[0048] Perform natural light monitoring on the external environment of the building where the lighting cluster in the overloaded power-consuming working state is located to obtain natural light parameter data of the corresponding external environment; wherein the natural light parameter data includes natural light intensity and angle data;

[0049] Monitor the temperature and humidity of the external environment of the building where the air-conditioning cluster is located in an overloaded power-consuming working state, and obtain the corresponding temperature and humidity change data of the external environment;

[0050] Analyze the natural lighting parameter data to obtain natural lighting improvement information of the external environment of the building where the lighting cluster in the overloaded power consumption working state is located, thereby determining the allowable reduction of lighting brightness information of the lighting cluster in the overloaded power consumption working state, and use this as the allowable adjustment operation state information of the lighting cluster;

[0051] The temperature and humidity change data are analyzed to obtain the heat transfer rate from the external environment of the building to the internal environment of the building, thereby determining the allowable cooling temperature increase information of the air-conditioning cluster in an overloaded and power-consuming working state, which is used as the allowable adjustment operation status information of the air-conditioning cluster.

[0052] Optionally, the internal environment of the building where the power consumption cluster whose operation state is adjusted is located is monitored to obtain corresponding internal environment parameter data; the internal environment parameter data is analyzed to obtain the internal environment change trend information of the building; based on the internal environment change trend information of the building, the optimal operation state adjustment target information of all the power consumption devices under the power consumption cluster is determined, so as to perform network linkage operation control on all the power consumption devices under the power consumption cluster, including:

[0053] Monitor the internal environment of the building where the lighting cluster whose lighting brightness is reduced and the air-conditioning cluster whose cooling temperature is increased are located, and obtain indoor lighting brightness change data and indoor temperature change data of different areas of the corresponding internal environment; analyze the indoor lighting brightness change data and the indoor temperature change data to obtain indoor lighting brightness uniformity change trend information and indoor temperature uniformity change trend information of the internal environment;

[0054] Based on the indoor lighting brightness uniformity change trend information and the indoor temperature uniformity change trend information, the optimal lighting direction adjustment target information of all the lighting devices under the lighting cluster and the optimal cooling air output rate and direction adjustment target information of all the air-conditioning devices under the air-conditioning cluster are respectively determined, so as to send operation control instructions to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster based on the Internet gateways corresponding to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster.

[0055] Optionally, the internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain corresponding internal environment parameter data, including:

[0056] The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain the indoor lighting brightness value and indoor temperature value of different areas of the corresponding internal environment;

[0057] Compare the indoor lighting brightness value and indoor temperature value of each area with the indoor lighting brightness value and indoor temperature value corresponding to the previous data collection moment;

[0058] The data collection frequency adjustment coefficient is obtained according to the quantitative relationship between the indoor lighting brightness value and the indoor temperature value of each area and the indoor lighting brightness value and the indoor temperature value corresponding to the previous data collection time;

[0059] The data acquisition frequency adjustment coefficient is obtained by the following formula:

[0060]

[0061] Where Y represents the data collection frequency adjustment coefficient; n represents the number of times the indoor lighting brightness value and indoor temperature value corresponding to the area are collected; L i and T i They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-th indoor lighting brightness value and indoor temperature value data collection respectively; L i-1 and T i-1 They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-1th indoor lighting brightness value and indoor temperature value data collection respectively; L b represents the standard deviation of the indoor lighting brightness values ​​corresponding to n acquisitions; L represents the indoor lighting brightness value corresponding to the current acquisition; T b represents the standard deviation of the indoor temperature values ​​corresponding to n acquisitions; T represents the indoor temperature value corresponding to the current acquisition;

[0062] Comparing the data acquisition frequency adjustment coefficient with a preset adjustment coefficient threshold;

[0063] When the data collection frequency adjustment coefficient is lower than the preset adjustment coefficient threshold, the data collection frequency of the indoor lighting brightness value and the indoor temperature value is not adjusted;

[0064] When the data acquisition frequency adjustment coefficient is not lower than the preset adjustment coefficient threshold, the data acquisition frequency of the indoor lighting brightness value and the indoor temperature value is adjusted using the data acquisition frequency adjustment coefficient to obtain an adjusted data acquisition frequency;

[0065] Among them, the adjusted data collection frequency is obtained by the following formula:

[0066]

[0067] Where F represents the data collection frequency after adjustment; F0 represents the data collection frequency before adjustment; Y represents the data collection frequency adjustment coefficient; F xIndicates the data collection frequency before adjustment corresponding to the last data collection frequency;

[0068] The data collection of indoor lighting brightness values ​​and indoor temperature values ​​in the corresponding area is controlled according to the adjusted data collection frequency.

[0069] Compared with the prior art, the present invention has the following beneficial effects:

[0070] The present application provides an Internet-based building energy-saving system and method for detecting the power consumption status data of all power consumption clusters in a building through networking, so as to determine whether the power consumption cluster is in an overloaded power consumption working state, and determine the equipment objects for subsequent energy-saving adjustment; monitoring and analyzing the external environmental parameter data of the power consumption cluster in the overloaded power consumption working state, obtaining the respective allowed adjustment operation status information of all power consumption equipment under the power consumption cluster in the overloaded power consumption working state, determining the margin of energy-saving adjustment allowed for the corresponding power consumption equipment, and providing adjustment basis for the subsequent reduction of power consumption of the power consumption equipment; also monitoring and analyzing the internal environmental parameter data corresponding to the power consumption cluster whose operating state is adjusted, obtaining the internal environment change trend information of the building, and determining the optimal operation state adjustment target information of all power consumption equipment under the power consumption cluster, so as to perform networked linkage operation control on the power consumption equipment, so as to perform independent energy-saving control on the lighting and refrigeration aspects inside the building, effectively taking into account both reducing the energy consumption of lighting and refrigeration and ensuring the indoor environmental comfort of the building, and improving the sustainability of building energy conservation. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0072] Figure 1 A schematic structural diagram of an Internet-based building energy-saving system provided by the present invention.

[0073] Figure 2 A schematic diagram of a flow chart of an Internet-based building energy-saving method provided by the present invention. DETAILED DESCRIPTION

[0074] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. It is to be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some structures related to the present application are shown in the accompanying drawings, rather than all structures. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0075] The terms "including" and "having" and any variations thereof in this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0076] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0077] See also Figure 1 As shown, an embodiment of the present application provides an Internet-based building energy-saving system. The Internet-based building energy-saving system includes:

[0078] The power consumption network detection module is used to perform distributed network detection on all power consumption clusters in the building to obtain the power consumption status data of all power consumption clusters;

[0079] A power consumption status identification module is used to analyze the power consumption status data to determine whether the power consumption cluster is in an overloaded power consumption working state;

[0080] The external environment monitoring module is used to monitor the external environment of the building where the power consumption cluster is located in the overloaded power consumption working state, and obtain the corresponding external environment parameter data;

[0081] The device adjustment-allowed state determination module is used to analyze the external environmental parameter data to obtain the adjustment-allowed operation state information of all the power-consuming devices under the power-consuming cluster in the overloaded power-consuming working state;

[0082] The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation status is adjusted is located, and obtain the corresponding internal environment parameter data; analyze the internal environment parameter data to obtain the trend information of the internal environment of the building;

[0083] The equipment linkage operation control module is used to determine the optimal operation state adjustment target information of all the power-consuming equipment under the power cluster based on the internal environment change trend information of the building, so as to perform network linkage operation control for all the power-consuming equipment under the power cluster.

[0084] The beneficial effects of the above embodiments are as follows: the Internet-based building energy-saving system is networked to detect the power consumption status data of all power consumption clusters in the building, so as to determine whether the power consumption cluster is in an overloaded power consumption working state, and determine the equipment objects for subsequent energy-saving adjustments; monitor and analyze the external environmental parameter data of the power consumption cluster in the overloaded power consumption working state, obtain the allowed adjustment operation status information of all power consumption equipment under the power consumption cluster in the overloaded power consumption working state, determine the margin of energy-saving adjustment allowed for the corresponding power consumption equipment, and provide adjustment basis for the subsequent reduction of power consumption of the power consumption equipment; also monitor and analyze the internal environmental parameter data corresponding to the power consumption cluster whose operating state is adjusted, obtain the trend information of the internal environment change of the building, and determine the optimal operation state adjustment target information of all power consumption equipment under the power consumption cluster, so as to control the power consumption equipment through network linkage operation, so as to independently control the lighting and refrigeration inside the building, effectively take into account the reduction of lighting and refrigeration energy consumption and the guarantee of the indoor environmental comfort of the building, and improve the sustainability of building energy conservation.

[0085] In another embodiment, the power consumption network detection module is used to perform distributed network detection on all power consumption clusters in the building to obtain power consumption status data of all power consumption clusters, including:

[0086] Based on the power port addresses of the lighting cluster and the air-conditioning cluster inside the building, a distributed networked power consumption detection is performed on all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster to obtain power consumption status data of all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster; wherein the power consumption status data includes the electric energy received by each of the lighting device and the air-conditioning device from the power grid and the conversion efficiency data of the electric energy;

[0087] The power consumption status identification module is used to analyze the power consumption status data to determine whether the power consumption cluster is in an overloaded power consumption working state, including:

[0088] The power consumption status data is analyzed to obtain the power load change information generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; wherein the power load change information includes the average power load value and the power load fluctuation change rate generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; and then based on the power load change information, it is determined whether the lighting cluster and the air-conditioning cluster are respectively in an overloaded power consumption working state.

[0089] The beneficial effect of the above embodiment is that lighting clusters and air-conditioning clusters are arranged inside different floors of the building, each lighting cluster includes lighting equipment distributed in different positions, each air-conditioning cluster includes air-conditioning equipment distributed in different positions, each lighting equipment and each air-conditioning equipment can provide lighting and environmental cooling for the location where it is located and its surrounding areas, and each lighting cluster and each air-conditioning cluster are individually connected to corresponding power ports inside their own floors. Based on the power port addresses, distributed networked power consumption detection is performed on all lighting equipment under the lighting cluster and all air-conditioning equipment under the air-conditioning cluster, and the power consumption status data of all lighting equipment under the lighting cluster and all air-conditioning equipment under the air-conditioning cluster are obtained. In this way, the electric energy received by all lighting equipment and all air-conditioning equipment from the power grid in the corresponding time period and the conversion efficiency data of the electric energy can be obtained, so as to quantify the power consumption load generated by the subsequent lighting cluster and air-conditioning cluster on the power grid during operation. The power consumption status data is also analyzed to obtain the power load change information generated by the lighting cluster and the air-conditioning cluster on the power grid respectively, and the average power load value and the power load fluctuation change rate generated by the lighting cluster and the air-conditioning cluster on the power grid respectively during operation are determined. If the average power load value of the lighting cluster or the air-conditioning cluster exceeds a preset load threshold and the power load fluctuation change rate exceeds a preset change rate threshold, it is determined that the lighting cluster or the air-conditioning cluster is in an overloaded power consumption working state; otherwise, it is determined that the lighting cluster or the air-conditioning cluster is not in an overloaded power consumption working state; when the lighting cluster or the air-conditioning cluster is in an overloaded power consumption working state, it indicates that the lighting cluster or the air-conditioning cluster needs to perform energy-saving operations, thereby determining the corresponding adjustment objects for subsequent energy-saving adjustments to the equipment inside the building.

[0090] In another embodiment, the external environment monitoring module is used to monitor the external environment of the building where the power consumption cluster in the overloaded power consumption working state is located, and obtain corresponding external environment parameter data, including:

[0091] Perform natural light monitoring on the external environment of the building where the lighting cluster in the overloaded power consumption working state is located to obtain natural light parameter data of the corresponding external environment; wherein the natural light parameter data includes natural light intensity and angle data;

[0092] Monitor the temperature and humidity of the external environment of the building where the air-conditioning cluster is located in an overloaded power-consuming working state, and obtain the corresponding temperature and humidity change data of the external environment;

[0093] The device adjustment-allowed state determination module is used to analyze the external environmental parameter data to obtain the adjustment-allowed operation state information of all power-consuming devices under the power-consuming cluster in the overloaded power-consuming working state, including:

[0094] The natural lighting parameter data is analyzed to obtain natural lighting improvement information of the external environment of the building where the lighting cluster in the overloaded power consumption working state is located, thereby determining the allowable reduction of lighting brightness information of the lighting cluster in the overloaded power consumption working state, and using this as the allowable adjustment operation state information of the lighting cluster;

[0095] The temperature and humidity change data are analyzed to obtain the heat transfer rate from the external environment of the building to the internal environment of the building, so as to determine the allowable cooling temperature increase information of the air-conditioning cluster in an overloaded power-consuming working state, which is used as the allowable adjustment operation status information of the air-conditioning cluster.

[0096] The beneficial effect of the above embodiment is that in the process of energy-saving adjustment of the lighting cluster and the air-conditioning cluster in the overloaded power-consuming working state, the actual conditions of the external environment of the building where the lighting cluster and the air-conditioning cluster are located need to be considered. If the natural light of the external environment of the building is weak and the temperature is high, if the lighting brightness of the lighting cluster is blindly reduced and the cooling temperature of the air-conditioning cluster is increased, the office environment inside the building where the lighting cluster and the air-conditioning cluster are located will not be able to provide comfortable office conditions, which is contrary to the purpose of taking into account both reducing the energy consumption of lighting and cooling and ensuring the comfort of the indoor environment of the building. For this reason, the natural light of the external environment of the building where the lighting cluster is located in the overloaded power-consuming working state is monitored to obtain the corresponding natural light parameter data of the external environment, and the temperature and humidity of the external environment of the building where the air-conditioning cluster is located in the overloaded power-consuming working state is monitored to obtain the corresponding temperature and humidity change data of the external environment. In this way, the environmental parameters such as natural light, temperature and humidity of the external environment of the building can be quantified and determined, providing an accurate basis for energy-saving adjustment of the lighting cluster and the air-conditioning cluster, and avoiding the lighting cluster and the air-conditioning cluster from making large-scale energy-saving adjustments and affecting the physical comfort of the internal environment of the building where they are located. The natural lighting parameter data is also analyzed to obtain the natural lighting improvement information of the external environment of the building where the lighting cluster in the overloaded power consumption working state is located (i.e., the increase in the natural light brightness of the external environment of the building). If the natural light brightness of the external environment of the building increases, the natural light entering the internal environment of the building from the external environment of the building also increases accordingly. At this time, the artificial lighting brightness provided by the lighting cluster can be adaptively reduced, thereby determining the allowable reduction in lighting brightness information of the lighting cluster in the overloaded power consumption working state. The allowable reduction in lighting brightness of the lighting cluster is positively correlated with the increase in the natural light brightness of the external environment of the building. In addition, the temperature and humidity change data are analyzed to obtain The heat transfer rate from the external environment of the building to the internal environment of the building. If the heat value transferred from the external environment of the building to the internal environment of the building per unit time becomes smaller, the cooling temperature of the air-conditioning cluster can be adaptively increased at this time, thereby determining the allowable cooling temperature increase information of the air-conditioning cluster in an overloaded power-consuming working state. The allowable cooling temperature increase value of the air-conditioning cluster is negatively correlated with the heat transfer rate from the external environment of the building to the internal environment of the building. The smaller the heat transfer rate, the larger the allowable cooling temperature increase value, thereby providing a reliable basis for the energy-saving adjustment of the lighting cluster and the air-conditioning cluster, and effectively taking into account both reducing the energy consumption of lighting and refrigeration and ensuring the indoor environmental comfort of the building.

[0097] In another embodiment, the internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located to obtain corresponding internal environment parameter data; analyze the internal environment parameter data to obtain the trend information of the internal environment of the building, including:

[0098] Monitor the internal environment of the building where the lighting cluster whose lighting brightness is reduced and the air conditioning cluster whose cooling temperature is increased are located, and obtain indoor lighting brightness change data and indoor temperature change data of different areas of the corresponding internal environment; analyze the indoor lighting brightness change data and the indoor temperature change data to obtain indoor lighting brightness uniformity change trend information and indoor temperature uniformity change trend information of the internal environment;

[0099] The equipment linkage operation control module is used to determine the optimal operation state adjustment target information of all the power-consuming equipment under the power consumption cluster based on the internal environment change trend information of the building, so as to perform network linkage operation control on all the power-consuming equipment under the power consumption cluster, including:

[0100] Based on the indoor lighting brightness uniformity change trend information and the indoor temperature uniformity change trend information, the optimal lighting direction adjustment target information of all the lighting devices under the lighting cluster and the optimal cooling air output rate and direction adjustment target information of all the air-conditioning equipment under the air-conditioning cluster are determined respectively, so as to send operation control instructions to all the lighting devices under the lighting cluster and all the air-conditioning equipment under the air-conditioning cluster based on the Internet gateways corresponding to all the lighting devices under the lighting cluster and all the air-conditioning equipment under the air-conditioning cluster.

[0101] The beneficial effect of the above embodiment is that during the process of the lighting cluster reducing the lighting brightness and during the process of the air-conditioning cluster increasing the cooling temperature, the indoor lighting brightness and indoor temperature of the internal environment of the building where the lighting cluster and the air-conditioning cluster are located are monitored to obtain indoor lighting brightness change data and indoor temperature change data in different areas of the internal environment. In this way, during the process of the lighting brightness reduction of the lighting cluster and during the process of the air-conditioning cluster increasing the cooling temperature, the indoor lighting brightness uniformity change trend and indoor temperature uniformity change trend of the corresponding internal environment area of ​​the building can be determined and analyzed, and the areas with darker lighting brightness and higher temperature can be identified, providing a reliable basis for subsequent adjustment of the working status of lighting equipment and air-conditioning equipment. In addition, based on the indoor lighting brightness uniformity change trend information and the indoor temperature uniformity change trend information, the optimal lighting direction adjustment target information of all the lighting devices under the lighting cluster and the optimal cooling air output rate and direction adjustment target information of all the air-conditioning devices under the air-conditioning cluster are respectively determined, so that directional lighting can be performed on the areas with darker lighting brightness and directional cooling air can be delivered to the areas with higher temperatures. In addition, based on the Internet gateways corresponding to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster, operation control instructions are sent to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster, so as to perform independent energy-saving control on the lighting and refrigeration inside the building and improve the sustainability of building energy conservation.

[0102] In another embodiment, the internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain corresponding internal environment parameter data, including:

[0103] The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain the indoor lighting brightness value and indoor temperature value of different areas of the corresponding internal environment;

[0104] Compare the indoor lighting brightness value and indoor temperature value of each area with the indoor lighting brightness value and indoor temperature value corresponding to the previous data collection moment;

[0105] The data collection frequency adjustment coefficient is obtained according to the quantitative relationship between the indoor lighting brightness value and the indoor temperature value of each area and the indoor lighting brightness value and the indoor temperature value corresponding to the previous data collection time;

[0106] The data acquisition frequency adjustment coefficient is obtained by the following formula:

[0107]

[0108] Where Y represents the data collection frequency adjustment coefficient; n represents the number of times the indoor lighting brightness value and indoor temperature value corresponding to the area are collected; L i and T i They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-th indoor lighting brightness value and indoor temperature value data collection respectively; L i-1 and T i-1 They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-1th indoor lighting brightness value and indoor temperature value data collection respectively; L b represents the standard deviation of the indoor lighting brightness values ​​corresponding to n acquisitions; L represents the indoor lighting brightness value corresponding to the current acquisition; T b represents the standard deviation of the indoor temperature values ​​corresponding to n acquisitions; T represents the indoor temperature value corresponding to the current acquisition;

[0109] Comparing the data acquisition frequency adjustment coefficient with a preset adjustment coefficient threshold;

[0110] When the data collection frequency adjustment coefficient is lower than the preset adjustment coefficient threshold, the data collection frequency of the indoor lighting brightness value and the indoor temperature value is not adjusted;

[0111] When the data acquisition frequency adjustment coefficient is not lower than the preset adjustment coefficient threshold, the data acquisition frequency of the indoor lighting brightness value and the indoor temperature value is adjusted using the data acquisition frequency adjustment coefficient to obtain an adjusted data acquisition frequency;

[0112] Among them, the adjusted data collection frequency is obtained by the following formula:

[0113]

[0114] Where F represents the data collection frequency after adjustment; F0 represents the data collection frequency before adjustment; Y represents the data collection frequency adjustment coefficient; F x Indicates the data collection frequency before adjustment corresponding to the last data collection frequency;

[0115] The data collection of indoor lighting brightness values ​​and indoor temperature values ​​in the corresponding area is controlled according to the adjusted data collection frequency.

[0116] The beneficial effect of the above embodiment is that by comparing the indoor lighting brightness and temperature values ​​of each area at different data collection times, the technology can identify the changing trend and fluctuation range of environmental parameters. When these parameters change relatively smoothly, that is, the difference between the continuously collected data is small, the system automatically reduces the data collection frequency, thereby reducing unnecessary sensor activation and data transmission, and effectively saving energy and computing resources. On the contrary, when the environmental parameters fluctuate greatly, increasing the data collection frequency can ensure that more detailed changes are captured, providing more accurate data support for subsequent environmental control decisions. This dynamic adjustment mechanism significantly improves the overall efficiency of the monitoring system. In intelligent building management, timely and accurate acquisition of indoor environmental data is crucial to maintaining a comfortable living or working environment. The technical solution calculates the data collection frequency adjustment coefficient in real time and adjusts the collection frequency accordingly, ensuring that the system can respond quickly at critical moments of environmental changes and providing sufficiently dense data points to capture rapidly changing environmental conditions. This not only helps to achieve more refined environmental control, such as automatically adjusting the lighting intensity and air conditioning system, but also reduces energy waste and reduced user experience caused by delays or misjudgments. With the global emphasis on energy conservation, emission reduction and sustainable development, intelligent buildings, as an important field of energy consumption, have become a research hotspot in energy efficiency optimization. This technical solution effectively balances the relationship between monitoring accuracy and energy consumption by intelligently adjusting the frequency of data collection, ensuring accurate monitoring of environmental parameters while avoiding unnecessary energy waste. In the long run, this will help reduce the operating costs of buildings, improve energy efficiency, and comply with the concepts of green buildings and sustainable development. Good indoor environmental quality is one of the key factors in improving occupant satisfaction and work efficiency. This technical solution ensures immediate response and adjustment to indoor lighting and temperature conditions by precisely controlling data collection, thus providing users with a more stable and comfortable environment. Finally, the implementation of this technical solution has promoted technological innovation in the field of intelligent buildings, especially in the intelligent upgrade of environmental monitoring and data analysis. By introducing dynamic adjustment mechanisms and data-driven decision support, it provides a more flexible and efficient operation mode for future intelligent building systems, and also provides new ideas and methods for scientific research and technological development in related fields.

[0117] To sum up, this technical solution not only improves monitoring efficiency and resource utilization, enhances the responsiveness and accuracy of environmental control by dynamically adjusting the data collection frequency, but also promotes energy conservation and emission reduction, improves user experience, and promotes technological innovation and intelligent upgrading. It has significant technical effects and social value.

[0118] See also Figure 2 As shown, an embodiment of the present application provides an Internet-based building energy-saving method. The Internet-based building energy-saving method includes:

[0119] Conduct distributed networking detection on all power consumption clusters in the building to obtain the power consumption status data of all power consumption clusters; analyze the power consumption status data to determine whether the power consumption cluster is in an overloaded power consumption working state;

[0120] Monitor the external environment of the building where the power consumption cluster in the overloaded power consumption working state is located to obtain corresponding external environment parameter data; analyze the external environment parameter data to obtain the respective adjustable operation status information of all power consumption equipment under the power consumption cluster in the overloaded power consumption working state;

[0121] The internal environment of the building where the power consumption cluster whose operating state is adjusted is located is monitored to obtain corresponding internal environment parameter data; the internal environment parameter data is analyzed to obtain information on the changing trend of the internal environment of the building; based on the information on the changing trend of the internal environment of the building, the optimal operating state adjustment target information of all the power consumption equipment under the power consumption cluster is determined, so as to perform networked linkage operation control for all the power consumption equipment under the power consumption cluster.

[0122] The beneficial effects of the above embodiments are as follows: the Internet-based building energy-saving method detects the power consumption status data of all power consumption clusters inside the building through networking, thereby determining whether the power consumption cluster is in an overloaded power consumption working state, and determining the equipment objects for subsequent energy-saving adjustments; monitors and analyzes the external environmental parameter data of the power consumption cluster in the overloaded power consumption working state, obtains the respective allowed adjustment operation status information of all power consumption equipment under the power consumption cluster in the overloaded power consumption working state, determines the margin of energy-saving adjustment allowed for the corresponding power consumption equipment, and provides an adjustment basis for the subsequent reduction of the power consumption of the power consumption equipment; also monitors and analyzes the internal environmental parameter data corresponding to the power consumption cluster whose operating state is adjusted, obtains the internal environment change trend information of the building, and determines the optimal operation state adjustment target information of all power consumption equipment under the power consumption cluster, thereby performing networking linkage operation control on the power consumption equipment, thereby performing independent energy-saving control on the lighting and refrigeration aspects inside the building, effectively taking into account both reducing the energy consumption of lighting and refrigeration and ensuring the indoor environmental comfort of the building, and improving the sustainability of building energy conservation.

[0123] In another embodiment, distributed networking detection is performed on all power consumption clusters in the building to obtain power consumption status data of all power consumption clusters; the power consumption status data is analyzed to determine whether the power consumption cluster is in an overloaded power consumption working state, including:

[0124] Based on the power port addresses of the lighting cluster and the air-conditioning cluster inside the building, a distributed networked power consumption detection is performed on all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster to obtain power consumption status data of all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster; wherein the power consumption status data includes the electric energy received by each of the lighting device and the air-conditioning device from the power grid and the conversion efficiency data of the electric energy;

[0125] The power consumption status data is analyzed to obtain the power load change information generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; wherein the power load change information includes the average power load value and the power load fluctuation change rate generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; and then based on the power load change information, it is determined whether the lighting cluster and the air-conditioning cluster are respectively in an overloaded power consumption working state.

[0126] The beneficial effect of the above embodiment is that lighting clusters and air-conditioning clusters are arranged inside different floors of the building, each lighting cluster includes lighting equipment distributed in different positions, each air-conditioning cluster includes air-conditioning equipment distributed in different positions, each lighting equipment and each air-conditioning equipment can provide lighting and environmental cooling for the location where it is located and its surrounding areas, and each lighting cluster and each air-conditioning cluster are individually connected to corresponding power ports inside their own floors. Based on the power port addresses, distributed networked power consumption detection is performed on all lighting equipment under the lighting cluster and all air-conditioning equipment under the air-conditioning cluster, and the power consumption status data of all lighting equipment under the lighting cluster and all air-conditioning equipment under the air-conditioning cluster are obtained. In this way, the electric energy received by all lighting equipment and all air-conditioning equipment from the power grid in the corresponding time period and the conversion efficiency data of the electric energy can be obtained, so as to quantify the power consumption load generated by the subsequent lighting cluster and air-conditioning cluster on the power grid during operation. The power consumption status data is also analyzed to obtain the power load change information generated by the lighting cluster and the air-conditioning cluster on the power grid respectively, and the average power load value and the power load fluctuation change rate generated by the lighting cluster and the air-conditioning cluster on the power grid respectively during operation are determined. If the average power load value of the lighting cluster or the air-conditioning cluster exceeds a preset load threshold and the power load fluctuation change rate exceeds a preset change rate threshold, it is determined that the lighting cluster or the air-conditioning cluster is in an overloaded power consumption working state; otherwise, it is determined that the lighting cluster or the air-conditioning cluster is not in an overloaded power consumption working state; when the lighting cluster or the air-conditioning cluster is in an overloaded power consumption working state, it indicates that the lighting cluster or the air-conditioning cluster needs to perform energy-saving operations, thereby determining the corresponding adjustment objects for subsequent energy-saving adjustments to the equipment inside the building.

[0127] In another embodiment, the external environment of the building where the power consumption cluster in the overloaded power consumption working state is located is monitored to obtain corresponding external environment parameter data; the external environment parameter data is analyzed to obtain the respective adjustable operation status information of all power consumption devices under the power consumption cluster in the overloaded power consumption working state, including:

[0128] Perform natural light monitoring on the external environment of the building where the lighting cluster in the overloaded power consumption working state is located to obtain natural light parameter data of the corresponding external environment; wherein the natural light parameter data includes natural light intensity and angle data;

[0129] Monitor the temperature and humidity of the external environment of the building where the air-conditioning cluster is located in an overloaded power-consuming working state, and obtain the corresponding temperature and humidity change data of the external environment;

[0130] The natural lighting parameter data is analyzed to obtain natural lighting improvement information of the external environment of the building where the lighting cluster in the overloaded power consumption working state is located, thereby determining the allowable reduction of lighting brightness information of the lighting cluster in the overloaded power consumption working state, and using this as the allowable adjustment operation state information of the lighting cluster;

[0131] The temperature and humidity change data are analyzed to obtain the heat transfer rate from the external environment of the building to the internal environment of the building, so as to determine the allowable cooling temperature increase information of the air-conditioning cluster in an overloaded power-consuming working state, which is used as the allowable adjustment operation status information of the air-conditioning cluster.

[0132] The beneficial effect of the above embodiment is that in the process of energy-saving adjustment of the lighting cluster and the air-conditioning cluster in the overloaded power-consuming working state, the actual conditions of the external environment of the building where the lighting cluster and the air-conditioning cluster are located need to be considered. If the natural light of the external environment of the building is weak and the temperature is high, if the lighting brightness of the lighting cluster is blindly reduced and the cooling temperature of the air-conditioning cluster is increased, the office environment inside the building where the lighting cluster and the air-conditioning cluster are located will not be able to provide comfortable office conditions, which is contrary to the purpose of taking into account both reducing the energy consumption of lighting and cooling and ensuring the comfort of the indoor environment of the building. For this reason, the natural light of the external environment of the building where the lighting cluster is located in the overloaded power-consuming working state is monitored to obtain the corresponding natural light parameter data of the external environment, and the temperature and humidity of the external environment of the building where the air-conditioning cluster is located in the overloaded power-consuming working state is monitored to obtain the corresponding temperature and humidity change data of the external environment. In this way, the environmental parameters such as natural light, temperature and humidity of the external environment of the building can be quantified and determined, providing an accurate basis for energy-saving adjustment of the lighting cluster and the air-conditioning cluster, and avoiding the lighting cluster and the air-conditioning cluster from making large-scale energy-saving adjustments and affecting the physical comfort of the internal environment of the building where they are located. The natural lighting parameter data is also analyzed to obtain the natural lighting improvement information of the external environment of the building where the lighting cluster in the overloaded power consumption working state is located (i.e., the increase in the natural light brightness of the external environment of the building). If the natural light brightness of the external environment of the building increases, the natural light entering the internal environment of the building from the external environment of the building also increases accordingly. At this time, the artificial lighting brightness provided by the lighting cluster can be adaptively reduced, thereby determining the allowable reduction in lighting brightness information of the lighting cluster in the overloaded power consumption working state. The allowable reduction in lighting brightness of the lighting cluster is positively correlated with the increase in the natural light brightness of the external environment of the building. In addition, the temperature and humidity change data are analyzed to obtain The heat transfer rate from the external environment of the building to the internal environment of the building. If the heat value transferred from the external environment of the building to the internal environment of the building per unit time becomes smaller, the cooling temperature of the air-conditioning cluster can be adaptively increased at this time, thereby determining the allowable cooling temperature increase information of the air-conditioning cluster in an overloaded power-consuming working state. The allowable cooling temperature increase value of the air-conditioning cluster is negatively correlated with the heat transfer rate from the external environment of the building to the internal environment of the building. The smaller the heat transfer rate, the larger the allowable cooling temperature increase value, thereby providing a reliable basis for the energy-saving adjustment of the lighting cluster and the air-conditioning cluster, and effectively taking into account both reducing the energy consumption of lighting and refrigeration and ensuring the indoor environmental comfort of the building.

[0133] In another embodiment, the internal environment of the building where the power consumption cluster whose operation state is adjusted is located is monitored to obtain corresponding internal environment parameter data; the internal environment parameter data is analyzed to obtain the internal environment change trend information of the building; based on the internal environment change trend information of the building, the optimal operation state adjustment target information of all the power consumption equipment under the power consumption cluster is determined, so as to perform network linkage operation control on all the power consumption equipment under the power consumption cluster, including:

[0134] Monitor the internal environment of the building where the lighting cluster whose lighting brightness is reduced and the air conditioning cluster whose cooling temperature is increased are located, and obtain indoor lighting brightness change data and indoor temperature change data of different areas of the corresponding internal environment; analyze the indoor lighting brightness change data and the indoor temperature change data to obtain indoor lighting brightness uniformity change trend information and indoor temperature uniformity change trend information of the internal environment;

[0135] Based on the indoor lighting brightness uniformity change trend information and the indoor temperature uniformity change trend information, the optimal lighting direction adjustment target information of all the lighting devices under the lighting cluster and the optimal cooling air output rate and direction adjustment target information of all the air-conditioning equipment under the air-conditioning cluster are determined respectively, so as to send operation control instructions to all the lighting devices under the lighting cluster and all the air-conditioning equipment under the air-conditioning cluster based on the Internet gateways corresponding to all the lighting devices under the lighting cluster and all the air-conditioning equipment under the air-conditioning cluster.

[0136] The beneficial effect of the above embodiment is that during the process of the lighting cluster reducing the lighting brightness and during the process of the air-conditioning cluster increasing the cooling temperature, the indoor lighting brightness and indoor temperature of the internal environment of the building where the lighting cluster and the air-conditioning cluster are located are monitored to obtain indoor lighting brightness change data and indoor temperature change data in different areas of the internal environment. In this way, during the process of the lighting brightness reduction of the lighting cluster and during the process of the air-conditioning cluster increasing the cooling temperature, the indoor lighting brightness uniformity change trend and indoor temperature uniformity change trend of the corresponding internal environment area of ​​the building can be determined and analyzed, and the areas with darker lighting brightness and higher temperature can be identified, providing a reliable basis for subsequent adjustment of the working status of lighting equipment and air-conditioning equipment. In addition, based on the indoor lighting brightness uniformity change trend information and the indoor temperature uniformity change trend information, the optimal lighting direction adjustment target information of all the lighting devices under the lighting cluster and the optimal cooling air output rate and direction adjustment target information of all the air-conditioning devices under the air-conditioning cluster are respectively determined, so that directional lighting can be performed on the areas with darker lighting brightness and directional cooling air can be delivered to the areas with higher temperatures. In addition, based on the Internet gateways corresponding to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster, operation control instructions are sent to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster, so as to perform independent energy-saving control on the lighting and refrigeration inside the building and improve the sustainability of building energy conservation.

[0137] In another embodiment, the internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain corresponding internal environment parameter data, including:

[0138] The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain the indoor lighting brightness value and indoor temperature value of different areas of the corresponding internal environment;

[0139] Compare the indoor lighting brightness value and indoor temperature value of each area with the indoor lighting brightness value and indoor temperature value corresponding to the previous data collection moment;

[0140] The data collection frequency adjustment coefficient is obtained according to the quantitative relationship between the indoor lighting brightness value and the indoor temperature value of each area and the indoor lighting brightness value and the indoor temperature value corresponding to the previous data collection time;

[0141] The data acquisition frequency adjustment coefficient is obtained by the following formula:

[0142]

[0143] Where Y represents the data collection frequency adjustment coefficient; n represents the number of times the indoor lighting brightness value and indoor temperature value corresponding to the area are collected; L i and T i They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-th indoor lighting brightness value and indoor temperature value data collection respectively; L i-1 and T i-1 They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-1th indoor lighting brightness value and indoor temperature value data collection respectively; L b represents the standard deviation of the indoor lighting brightness values ​​corresponding to n acquisitions; L represents the indoor lighting brightness value corresponding to the current acquisition; T b represents the standard deviation of the indoor temperature values ​​corresponding to n acquisitions; T represents the indoor temperature value corresponding to the current acquisition;

[0144] Comparing the data acquisition frequency adjustment coefficient with a preset adjustment coefficient threshold;

[0145] When the data collection frequency adjustment coefficient is lower than the preset adjustment coefficient threshold, the data collection frequency of the indoor lighting brightness value and the indoor temperature value is not adjusted;

[0146] When the data acquisition frequency adjustment coefficient is not lower than the preset adjustment coefficient threshold, the data acquisition frequency of the indoor lighting brightness value and the indoor temperature value is adjusted using the data acquisition frequency adjustment coefficient to obtain an adjusted data acquisition frequency;

[0147] Among them, the adjusted data collection frequency is obtained by the following formula:

[0148]

[0149] Where F represents the data collection frequency after adjustment; F0 represents the data collection frequency before adjustment; Y represents the data collection frequency adjustment coefficient; F x Indicates the data collection frequency before adjustment corresponding to the last data collection frequency;

[0150] The data collection of indoor lighting brightness values ​​and indoor temperature values ​​in the corresponding area is controlled according to the adjusted data collection frequency.

[0151] The beneficial effect of the above embodiment is that by comparing the indoor lighting brightness and temperature values ​​of each area at different data collection times, the technology can identify the changing trend and fluctuation range of environmental parameters. When these parameters change relatively smoothly, that is, the difference between the continuously collected data is small, the system automatically reduces the data collection frequency, thereby reducing unnecessary sensor activation and data transmission, and effectively saving energy and computing resources. On the contrary, when the environmental parameters fluctuate greatly, increasing the data collection frequency can ensure that more detailed changes are captured, providing more accurate data support for subsequent environmental control decisions. This dynamic adjustment mechanism significantly improves the overall efficiency of the monitoring system. In intelligent building management, timely and accurate acquisition of indoor environmental data is crucial to maintaining a comfortable living or working environment. The technical solution calculates the data collection frequency adjustment coefficient in real time and adjusts the collection frequency accordingly, ensuring that the system can respond quickly at critical moments of environmental changes and providing sufficiently dense data points to capture rapidly changing environmental conditions. This not only helps to achieve more refined environmental control, such as automatically adjusting the lighting intensity and air conditioning system, but also reduces energy waste and reduced user experience caused by delays or misjudgments. With the global emphasis on energy conservation, emission reduction and sustainable development, intelligent buildings, as an important field of energy consumption, have become a research hotspot in energy efficiency optimization. This technical solution effectively balances the relationship between monitoring accuracy and energy consumption by intelligently adjusting the frequency of data collection, ensuring accurate monitoring of environmental parameters while avoiding unnecessary energy waste. In the long run, this will help reduce the operating costs of buildings, improve energy efficiency, and comply with the concepts of green buildings and sustainable development. Good indoor environmental quality is one of the key factors in improving occupant satisfaction and work efficiency. This technical solution ensures immediate response and adjustment to indoor lighting and temperature conditions by precisely controlling data collection, thus providing users with a more stable and comfortable environment. Finally, the implementation of this technical solution has promoted technological innovation in the field of intelligent buildings, especially in the intelligent upgrade of environmental monitoring and data analysis. By introducing dynamic adjustment mechanisms and data-driven decision support, it provides a more flexible and efficient operation mode for future intelligent building systems, and also provides new ideas and methods for scientific research and technological development in related fields.

[0152] To sum up, this technical solution not only improves monitoring efficiency and resource utilization, enhances the responsiveness and accuracy of environmental control by dynamically adjusting the data collection frequency, but also promotes energy conservation and emission reduction, improves user experience, and promotes technological innovation and intelligent upgrading. It has significant technical effects and social value.

[0153] In general, the Internet-based building energy-saving system and method detect the power consumption status data of all power consumption clusters in the building through networking, so as to judge whether the power consumption cluster is in an overloaded power consumption working state and determine the equipment objects for subsequent energy-saving adjustment; monitor and analyze the external environmental parameter data of the power consumption cluster in the overloaded power consumption working state, obtain the allowed adjustment operation status information of all power consumption equipment under the power consumption cluster in the overloaded power consumption working state, determine the margin of energy-saving adjustment allowed for the corresponding power consumption equipment, and provide adjustment basis for the subsequent reduction of power consumption of the power consumption equipment; also monitor and analyze the internal environmental parameter data corresponding to the power consumption cluster whose operating state is adjusted, obtain the trend information of the internal environment change of the building, and determine the optimal operation state adjustment target information of all power consumption equipment under the power consumption cluster, so as to control the power consumption equipment through networking linkage operation, so as to independently control the lighting and refrigeration inside the building for energy saving, effectively take into account both reducing the energy consumption of lighting and refrigeration and ensuring the indoor environmental comfort of the building, and improve the sustainability of building energy saving.

[0154] The above is only a specific implementation of the present invention, and any other improvements made based on the concept of the present invention are considered to be within the protection scope of the present invention.

Claims

1. An Internet-based building energy-saving system, characterized in that: include: The power consumption network detection module is used to perform distributed network detection on all power consumption clusters in the building to obtain the power consumption status data of all power consumption clusters; A power consumption status identification module, used to analyze the power consumption status data to determine whether the power consumption cluster is in an overloaded power consumption working state; The external environment monitoring module is used to monitor the external environment of the building where the power consumption cluster is located in the overloaded power consumption working state, and obtain the corresponding external environment parameter data; The device adjustment-allowed state determination module is used to analyze the external environmental parameter data to obtain the adjustment-allowed operation state information of all the power-consuming devices under the power-consuming cluster in the overloaded power-consuming working state; The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain the corresponding internal environment parameter data; analyze the internal environment parameter data to obtain the trend information of the internal environment change of the building; The equipment linkage operation control module is used to determine the optimal operation state adjustment target information of all the power-consuming equipment under the power consumption cluster based on the internal environment change trend information of the building, so as to perform network linkage operation control on all the power-consuming equipment under the power consumption cluster.

2. The Internet-based building energy-saving system according to claim 1, characterized in that: The power consumption network detection module is used to perform distributed network detection on all power consumption clusters in the building to obtain power consumption status data of all power consumption clusters, including: Based on the power port addresses of the lighting cluster and the air-conditioning cluster inside the building, a distributed networked power consumption detection is performed on all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster to obtain power consumption status data of all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster; wherein the power consumption status data includes the electric energy received by each of the lighting devices and the air-conditioning devices from the power grid and the conversion efficiency data of the electric energy; The power consumption state identification module is used to analyze the power consumption state data to determine whether the power consumption cluster is in an overloaded power consumption working state, including: The power consumption status data is analyzed to obtain the power load change information generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; wherein the power load change information includes the average power load value and the power load fluctuation change rate generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; and based on the power load change information, it is determined whether the lighting cluster and the air-conditioning cluster are respectively in an overloaded power consumption working state.

3. The Internet-based building energy-saving system according to claim 1, characterized in that: The external environment monitoring module is used to monitor the external environment of the building where the power consumption cluster in the overloaded power consumption working state is located, and obtain corresponding external environment parameter data, including: Perform natural light monitoring on the external environment of the building where the lighting cluster in the overloaded power-consuming working state is located to obtain natural light parameter data of the corresponding external environment; wherein the natural light parameter data includes natural light intensity and angle data; Monitor the temperature and humidity of the external environment of the building where the air-conditioning cluster is located in an overloaded power-consuming working state, and obtain the corresponding external environment temperature and humidity change data; The device adjustment-allowed state determination module is used to analyze the external environment parameter data to obtain the adjustment-allowed operation state information of all power-consuming devices under the power-consuming cluster in the overloaded power-consuming working state, including: Analyze the natural lighting parameter data to obtain natural lighting improvement information of the external environment of the building where the lighting cluster in the overloaded power consumption working state is located, thereby determining the allowable reduction of lighting brightness information of the lighting cluster in the overloaded power consumption working state, and use this as the allowable adjustment operation state information of the lighting cluster; The temperature and humidity change data are analyzed to obtain the heat transfer rate from the external environment of the building to the internal environment of the building, thereby determining the allowable cooling temperature increase information of the air-conditioning cluster in an overloaded and power-consuming working state, which is used as the allowable adjustment operation status information of the air-conditioning cluster.

4. The Internet-based building energy-saving system according to claim 1, characterized in that: The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located to obtain corresponding internal environment parameter data; analyze the internal environment parameter data to obtain the trend information of the internal environment of the building, including: Monitor the internal environment of the building where the lighting cluster whose lighting brightness is reduced and the air-conditioning cluster whose cooling temperature is increased are located, and obtain indoor lighting brightness change data and indoor temperature change data of different areas of the corresponding internal environment; analyze the indoor lighting brightness change data and the indoor temperature change data to obtain indoor lighting brightness uniformity change trend information and indoor temperature uniformity change trend information of the internal environment; The equipment linkage operation control module is used to determine the optimal operation state adjustment target information of all the power-consuming devices under the power consumption cluster based on the internal environment change trend information of the building, so as to perform network linkage operation control on all the power-consuming devices under the power consumption cluster, including: Based on the indoor lighting brightness uniformity change trend information and the indoor temperature uniformity change trend information, the optimal lighting direction adjustment target information of all the lighting devices under the lighting cluster and the optimal cooling air output rate and direction adjustment target information of all the air-conditioning devices under the air-conditioning cluster are respectively determined, so as to send operation control instructions to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster based on the Internet gateways corresponding to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster.

5. The Internet-based building energy-saving system according to claim 4, characterized in that: The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain corresponding internal environment parameter data, including: The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain the indoor lighting brightness value and indoor temperature value of different areas of the corresponding internal environment; Compare the indoor lighting brightness value and indoor temperature value of each area with the indoor lighting brightness value and indoor temperature value corresponding to the previous data collection moment; The data collection frequency adjustment coefficient is obtained according to the quantitative relationship between the indoor lighting brightness value and the indoor temperature value of each area and the indoor lighting brightness value and the indoor temperature value corresponding to the previous data collection time; The data acquisition frequency adjustment coefficient is obtained by the following formula: Where Y represents the data collection frequency adjustment coefficient; n represents the number of times the indoor lighting brightness value and indoor temperature value corresponding to the area are collected; L i and T i They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-th indoor lighting brightness value and indoor temperature value data collection respectively; L i-1 and T i-1 They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-1th indoor lighting brightness value and indoor temperature value data collection respectively; L b represents the standard deviation of the indoor lighting brightness values ​​corresponding to n acquisitions; L represents the indoor lighting brightness value corresponding to the current acquisition; T b represents the standard deviation of the indoor temperature values ​​corresponding to n acquisitions; T represents the indoor temperature value corresponding to the current acquisition; Comparing the data acquisition frequency adjustment coefficient with a preset adjustment coefficient threshold; When the data collection frequency adjustment coefficient is lower than the preset adjustment coefficient threshold, the data collection frequency of the indoor lighting brightness value and the indoor temperature value is not adjusted; When the data acquisition frequency adjustment coefficient is not lower than the preset adjustment coefficient threshold, the data acquisition frequency of the indoor lighting brightness value and the indoor temperature value is adjusted using the data acquisition frequency adjustment coefficient to obtain an adjusted data acquisition frequency; Among them, the adjusted data collection frequency is obtained by the following formula: Wherein, F represents the data collection frequency after adjustment; F0 represents the data collection frequency before adjustment; Y represents the data acquisition frequency adjustment coefficient; F x Indicates the data collection frequency before adjustment corresponding to the last data collection frequency; The data collection of indoor lighting brightness values ​​and indoor temperature values ​​in the corresponding area is controlled according to the adjusted data collection frequency.

6. An Internet-based building energy-saving method, characterized in that: include: Conduct distributed network detection on all power consumption clusters inside the building to obtain the power consumption status data of all power consumption clusters; Analyze the power consumption status data to determine whether the power consumption cluster is in an overloaded power consumption working state; Monitor the external environment of the building where the power consumption cluster in the overloaded power consumption working state is located to obtain corresponding external environment parameter data; analyze the external environment parameter data to obtain the respective adjustable operation status information of all power consumption equipment under the power consumption cluster in the overloaded power consumption working state; The internal environment of the building where the power consumption cluster whose operating state is adjusted is located is monitored to obtain corresponding internal environment parameter data; the internal environment parameter data is analyzed to obtain information on the changing trend of the internal environment of the building; based on the information on the changing trend of the internal environment of the building, the optimal operating state adjustment target information of all the power consumption equipment under the power consumption cluster is determined, so as to perform networked linkage operation control for all the power consumption equipment under the power consumption cluster.

7. The Internet-based building energy-saving system according to claim 6, characterized in that: Conduct distributed network detection on all power consumption clusters inside the building to obtain the power consumption status data of all power consumption clusters; Analyzing the power consumption status data to determine whether the power consumption cluster is in an overloaded power consumption working state includes: Based on the power port addresses of the lighting cluster and the air-conditioning cluster inside the building, a distributed networked power consumption detection is performed on all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster to obtain power consumption status data of all lighting devices under the lighting cluster and all air-conditioning devices under the air-conditioning cluster; wherein the power consumption status data includes the electric energy received by each of the lighting devices and the air-conditioning devices from the power grid and the conversion efficiency data of the electric energy; The power consumption status data is analyzed to obtain the power load change information generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; wherein the power load change information includes the average power load value and the power load fluctuation change rate generated by the lighting cluster and the air-conditioning cluster on the power grid respectively; and based on the power load change information, it is determined whether the lighting cluster and the air-conditioning cluster are respectively in an overloaded power consumption working state.

8. The Internet-based building energy-saving system according to claim 6, characterized in that: The external environment of the building where the power consumption cluster in the overloaded power consumption working state is located is monitored to obtain corresponding external environment parameter data; the external environment parameter data is analyzed to obtain the respective adjustable operation status information of all power consumption devices under the power consumption cluster in the overloaded power consumption working state, including: Perform natural light monitoring on the external environment of the building where the lighting cluster in the overloaded power-consuming working state is located to obtain natural light parameter data of the corresponding external environment; wherein the natural light parameter data includes natural light intensity and angle data; Monitor the temperature and humidity of the external environment of the building where the air-conditioning cluster is located in an overloaded power-consuming working state, and obtain the corresponding external environment temperature and humidity change data; Analyze the natural lighting parameter data to obtain natural lighting improvement information of the external environment of the building where the lighting cluster in the overloaded power consumption working state is located, thereby determining the allowable reduction of lighting brightness information of the lighting cluster in the overloaded power consumption working state, and use this as the allowable adjustment operation state information of the lighting cluster; The temperature and humidity change data are analyzed to obtain the heat transfer rate from the external environment of the building to the internal environment of the building, thereby determining the allowable cooling temperature increase information of the air-conditioning cluster in an overloaded and power-consuming working state, which is used as the allowable adjustment operation status information of the air-conditioning cluster.

9. The Internet-based building energy-saving system according to claim 6, characterized in that: The internal environment of the building where the power consumption cluster whose operation state is adjusted is located is monitored to obtain corresponding internal environment parameter data; the internal environment parameter data is analyzed to obtain the internal environment change trend information of the building; based on the internal environment change trend information of the building, the optimal operation state adjustment target information of all the power consumption equipment under the power consumption cluster is determined, so as to perform network linkage operation control on all the power consumption equipment under the power consumption cluster, including: Monitor the internal environment of the building where the lighting cluster whose lighting brightness is reduced and the air-conditioning cluster whose cooling temperature is increased are located, and obtain indoor lighting brightness change data and indoor temperature change data of different areas of the corresponding internal environment; analyze the indoor lighting brightness change data and the indoor temperature change data to obtain indoor lighting brightness uniformity change trend information and indoor temperature uniformity change trend information of the internal environment; Based on the indoor lighting brightness uniformity change trend information and the indoor temperature uniformity change trend information, the optimal lighting direction adjustment target information of all the lighting devices under the lighting cluster and the optimal cooling air output rate and direction adjustment target information of all the air-conditioning devices under the air-conditioning cluster are respectively determined, so as to send operation control instructions to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster based on the Internet gateways corresponding to all the lighting devices under the lighting cluster and all the air-conditioning devices under the air-conditioning cluster.

10. The Internet-based building energy-saving system according to claim 9, characterized in that: The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain corresponding internal environment parameter data, including: The internal environment monitoring and analysis module is used to monitor the internal environment of the building where the power consumption cluster whose operation state is adjusted is located, and obtain the indoor lighting brightness value and indoor temperature value of different areas of the corresponding internal environment; Compare the indoor lighting brightness value and indoor temperature value of each area with the indoor lighting brightness value and indoor temperature value corresponding to the previous data collection moment; The data collection frequency adjustment coefficient is obtained according to the quantitative relationship between the indoor lighting brightness value and the indoor temperature value of each area and the indoor lighting brightness value and the indoor temperature value corresponding to the previous data collection time; The data acquisition frequency adjustment coefficient is obtained by the following formula: Where Y represents the data collection frequency adjustment coefficient; n represents the number of times the indoor lighting brightness value and indoor temperature value corresponding to the area are collected; L i and T i They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-th indoor lighting brightness value and indoor temperature value data collection respectively; L i-1 and T i-1 They represent the indoor lighting brightness value and indoor temperature value corresponding to the i-1th indoor lighting brightness value and indoor temperature value data collection respectively; L b represents the standard deviation of the indoor lighting brightness values ​​corresponding to n acquisitions; L represents the indoor lighting brightness value corresponding to the current acquisition; T b represents the standard deviation of the indoor temperature values ​​corresponding to n acquisitions; T represents the indoor temperature value corresponding to the current acquisition; Comparing the data acquisition frequency adjustment coefficient with a preset adjustment coefficient threshold; When the data collection frequency adjustment coefficient is lower than the preset adjustment coefficient threshold, the data collection frequency of the indoor lighting brightness value and the indoor temperature value is not adjusted; When the data acquisition frequency adjustment coefficient is not lower than the preset adjustment coefficient threshold, the data acquisition frequency of the indoor lighting brightness value and the indoor temperature value is adjusted using the data acquisition frequency adjustment coefficient to obtain an adjusted data acquisition frequency; Among them, the adjusted data collection frequency is obtained by the following formula: Wherein, F represents the data collection frequency after adjustment; F0 represents the data collection frequency before adjustment; Y represents the data acquisition frequency adjustment coefficient; F x Indicates the data collection frequency before adjustment corresponding to the last data collection frequency; The data collection of indoor lighting brightness values ​​and indoor temperature values ​​in the corresponding area is controlled according to the adjusted data collection frequency.

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