A Method and System for Intelligent Allocation of Public Building Resources Based on a Hydropower Quota Platform

Abstract

This application discloses a method and system for intelligent allocation of public building resources based on a water and electricity quota platform. The method includes: acquiring historical water and electricity consumption data of a target location to determine the water and electricity consumption characteristics of each public building; acquiring the first building attribute characteristics of each public building; acquiring the first water and electricity consumption data of each public building; determining whether there are any buildings with abnormal consumption based on the first building attribute characteristics and the first water and electricity consumption data; if no abnormal consumption buildings exist, acquiring the total water and electricity quota value of the target location; determining the optimal water and electricity quota allocation value for each public building based on the total water and electricity quota value and the water and electricity consumption characteristics of each public building; determining the water and electricity quota allocation plan for each public building in the target location based on the optimal water and electricity quota allocation value; and sending the water and electricity quota allocation plan to the water and electricity quota platform and displaying the water and electricity quota allocation plan. This application can effectively solve the problem of low resource allocation efficiency.

Description

Technical Field

[0001] This application relates to the field of resource quota allocation, and in particular to a method and system for intelligent allocation of public building resources based on a water and electricity quota platform. Background Technology

[0002] With the acceleration of urbanization and the continuous expansion of public building scale, the consumption and management of water and electricity resources has become an urgent problem to be solved. The water and electricity quota platform is a platform specifically designed to manage the consumption of water and electricity resources. By providing reasonable water and electricity consumption quota standards for different types of public buildings, it enables the rational allocation of water and electricity resources in public buildings.

[0003] Currently, hydropower resource management is primarily conducted manually. Traditional manual management methods are not only inefficient but also struggle to achieve precise control and optimized allocation of resources. For example, traditional manual management relies on manually collecting, organizing, and analyzing data—a process that is time-consuming, labor-intensive, and prone to errors. With the continuous expansion of public building scale and the dramatic increase in data volume, the efficiency bottleneck of manual processing has become increasingly apparent. Furthermore, due to a lack of flexibility and adaptability, resource allocation schemes under manual management are often rigid and unchanging, unable to be dynamically adjusted according to changes in actual needs, leading to resource waste and inefficiency.

[0004] Therefore, a solution is urgently needed to address the above problems. Summary of the Invention

[0005] This application provides a method and system for intelligent allocation of public building resources based on a hydropower quota platform, which is used to solve the problem of low resource allocation efficiency.

[0006] To achieve the above objectives, the embodiments of this application adopt the following technical solutions:

[0007] Firstly, a method for intelligent allocation of public building resources based on a hydropower quota platform is provided, applied to a quota management system, wherein the quota management system is equipped with a hydropower quota platform. The method includes:

[0008] Historical water and electricity consumption data of the target location is obtained through a first preset database, and the water and electricity consumption characteristics of each public building in the target location are determined based on the historical water and electricity consumption data.

[0009] Obtain the first architectural attribute characteristics of each public building;

[0010] The water and electricity quota platform is used to obtain the first water and electricity consumption data of each public building in the target location in real time.

[0011] Based on the first building attribute characteristics and the first water and electricity consumption data, determine whether there are buildings with abnormal consumption at the target location;

[0012] If there are no buildings with abnormal consumption at the target location, obtain the total water and electricity quota value of the target location;

[0013] Based on the total value of the water and electricity quotas and the water and electricity consumption characteristics of each of the public buildings, determine the optimal water and electricity quota allocation value for each of the public buildings;

[0014] Using a preset second allocation logic, the water and electricity quota allocation plan for each of the public buildings in the target location is determined based on the optimal water and electricity quota allocation value;

[0015] The hydropower quota allocation plan is sent to the hydropower quota platform and displayed.

[0016] In one possible implementation of the first aspect, the method further includes:

[0017] In the case that there is an abnormally consumed building at the target location, the second building attribute feature of the abnormally consumed building is obtained, and the second building attribute feature is used to characterize the attribute features related to the abnormal consumption.

[0018] The second building attribute features and the water and electricity consumption data are input into a pre-trained neural network model to determine the reasons for the abnormal consumption building exceeding the quota.

[0019] Based on the reasons for exceeding the quota, the excess water and electricity consumption data corresponding to the reasons for exceeding the quota are determined in the first preset database;

[0020] Obtain the abnormal water and electricity consumption values ​​of the currently abnormally consuming building;

[0021] The abnormal water and electricity consumption value is subtracted from the excessive water and electricity consumption data to obtain the corrected water and electricity consumption data.

[0022] In one possible implementation of the first aspect, the first building attribute feature includes building structural features, and determining whether there are buildings with abnormal consumption at the target location based on the first building attribute feature and the first water and electricity consumption data includes:

[0023] Based on the building structural features and the first water and electricity consumption data, the water and electricity usage efficiency and consumption pattern of each of the public buildings are determined;

[0024] In the second preset database, obtain the average water and electricity consumption values ​​of the rooms and the water and electricity consumption values ​​of the common areas of the building corresponding to the building structural features;

[0025] For any one of the public buildings, obtain the number of rooms in the public building;

[0026] Multiply the number of rooms by the average water and electricity consumption of the rooms to obtain the water and electricity consumption of each room in the public building;

[0027] The water and electricity consumption values ​​of the rooms and the water and electricity consumption values ​​of the common areas of the building are added together to determine the standard water and electricity consumption values ​​for each of the common buildings;

[0028] If the difference between the first water and electricity consumption data and the standard water and electricity consumption value is greater than a preset threshold, then it is determined that there are buildings with abnormal water and electricity consumption at the target location.

[0029] In one possible implementation of the first aspect, determining the optimal water and electricity quota allocation value for each of the public buildings based on the total value of the water and electricity quotas and the water and electricity consumption characteristics of each public building includes:

[0030] Based on the water and electricity consumption characteristics of each of the public buildings, a first basic consumption attribute is determined for each of the public buildings, wherein the first basic consumption attribute is used to reflect the impact of the water and electricity usage efficiency and the consumption pattern on the water and electricity consumption.

[0031] The weight of the first basic consumption attribute between the first basic consumption attribute and the water and electricity consumption is calculated using a preset weighting formula.

[0032] Multiply the weight of the first basic consumption attribute by the water and electricity consumption of each of the public buildings to obtain the weighted attribute value of each of the public buildings;

[0033] Add up the weighted attribute values ​​of all the public buildings to obtain the sum of the weights of the first basic consumption attribute;

[0034] The relative proportion of water and electricity consumption for each of the public buildings is determined by the ratio between the weighted attribute value of each of the public buildings and the sum.

[0035] The basic allocation value for each of the public buildings is determined by the relative proportion and the total value of the water and electricity quota;

[0036] Based on the preset first allocation logic, the basic allocation value is adjusted to obtain the adjusted basic allocation value, which is used to characterize the optimal hydropower quota allocation value.

[0037] In one possible implementation of the first aspect, determining the optimal water and electricity quota allocation value for each of the public buildings based on the total value of the water and electricity quotas and the water and electricity consumption characteristics of each public building further includes:

[0038] Based on the total value of the water and electricity quota and the water and electricity consumption characteristics of each of the public buildings, the water and electricity consumption data of each of the public buildings are predicted;

[0039] A goodness-of-fit test is performed on the water and electricity consumption data of each of the public buildings to obtain the probability density distribution of the water and electricity consumption data.

[0040] Based on the probability density distribution, a distribution table is constructed, which is used to display the distribution of energy consumption data;

[0041] In the distribution table, the quota value of the public building is determined according to the preset probability level, wherein the quota value is used to characterize the optimal water and electricity quota allocation value.

[0042] In one possible implementation of the first aspect, adjusting the base allocation value based on a preset first allocation logic to obtain an adjusted base allocation value includes:

[0043] The influencing factors of the basic allocation value are determined through the first allocation logic;

[0044] Compare any two of the influencing factors to obtain the ratio of any two of the influencing factors;

[0045] Construct a judgment matrix using the ratios, and calculate the eigenvalues ​​and eigenvectors of the judgment matrix;

[0046] The importance values ​​of the influencing factors are determined by the eigenvalues ​​and eigenvectors.

[0047] Based on the importance values ​​of the aforementioned influencing factors, an adjustment factor is generated;

[0048] The adjustment coefficient for each of the influencing factors is determined by using the importance value and the adjustment factor.

[0049] The basic allocation value is adjusted by using the adjustment coefficient corresponding to each of the influencing factors to obtain the adjusted basic allocation value.

[0050] In one possible implementation of the first aspect, the first allocation logic includes:

[0051] Based on the water and electricity consumption characteristics of the public building, determine the maximum value of water and electricity consumption in the public building;

[0052] The highest value of the water and electricity consumption shall be used as the upper limit of the maximum quota allocation for the public building.

[0053] The minimum quota allocation limit for the public building is determined by using the standard water and electricity consumption values.

[0054] Subtracting the upper limit of the highest quota allocation from the lower limit of the lowest quota allocation yields the difference in the quota allocation range.

[0055] Determine the preset excess range corresponding to the difference in the quota allocation range in the preset database, and determine the corresponding influencing factors based on the preset excess range.

[0056] In one possible implementation of the first aspect, determining the water and electricity quota allocation plan for each of the public buildings within the target site based on the optimal water and electricity quota allocation value includes:

[0057] Obtain the area where each of the public buildings in the target site is located and the usage function of each of the public buildings;

[0058] The water and electricity resource requirements of each of the aforementioned public buildings are determined through the aforementioned functions;

[0059] Based on the water and electricity resource demand and the location of the public buildings, the priority of quota allocation for the public buildings is determined;

[0060] The primary regional allocation value for each of the aforementioned public buildings is determined by using the optimal water and electricity quota allocation value for each of the aforementioned public buildings.

[0061] Based on the quota allocation priority and the primary area allocation value of each area, a preset second allocation logic is used to allocate quotas to each area to determine the water and electricity quota allocation plan for each public building in the target location.

[0062] The second allocation logic includes:

[0063] Based on the water and electricity consumption characteristics of each of the public buildings, a second basic consumption attribute is determined for each of the public buildings, wherein the second basic consumption attribute includes a peak consumption period consumption attribute and a low consumption period consumption attribute;

[0064] Obtain the second water and electricity consumption data for each of the public buildings from the consumption attributes during the peak consumption period;

[0065] Sort the second set of water and electricity consumption data to identify high-consumption buildings;

[0066] Obtain the priority of the high-consumption building;

[0067] If the priority is lower than the priority of any public building in the area where the high-consumption building is located, then the allocation quota of the high-consumption building is reduced to the preset allocation quota.

[0068] Secondly, this application provides a quota management system, including:

[0069] The memory is configured to store instructions; and

[0070] The processor, which is equipped with a water and electricity quota platform, is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the above-mentioned intelligent allocation method for public building resources based on the water and electricity quota platform.

[0071] Thirdly, this application provides a hydropower quota platform, which, when applied to the aforementioned hydropower quota platform, further includes:

[0072] The first data determination module is used to obtain historical water and electricity consumption data of the target location through a preset database, and to determine the water and electricity consumption characteristics of each public building in the target location based on the historical water and electricity consumption data.

[0073] The first feature acquisition module is used to acquire the first building attribute features of each public building;

[0074] The first data acquisition module is used to acquire, in real time, the water and electricity consumption data of each of the public buildings in the target location through the water and electricity quota platform;

[0075] The first anomaly determination module is used to determine whether there are buildings with abnormal consumption in the target location based on the first building attribute characteristics and the water and electricity consumption data.

[0076] The second data acquisition module is used to acquire the total value of the water and electricity quota of the target location if there are no buildings with abnormal consumption at the target location.

[0077] The first quota determination module is used to determine the optimal water and electricity quota allocation value for each of the public buildings based on the total value of the water and electricity quota and the water and electricity consumption characteristics of each of the public buildings.

[0078] The first planning module is used to determine the water and electricity quota allocation plan for each of the public buildings in the target location based on the optimal water and electricity quota allocation value using a preset second allocation logic.

[0079] The first plan display module is used to send the hydropower quota allocation plan to the hydropower quota platform and display the hydropower quota allocation plan.

[0080] By analyzing historical water and electricity consumption data using the above technical solutions, we can more accurately understand the water and electricity consumption characteristics of each public building, thereby formulating a quota allocation plan that better meets actual needs. Real-time acquisition of the initial water and electricity consumption data for each public building within the target site, and based on the initial building attribute characteristics and initial water and electricity consumption data, helps to identify any abnormal consumption buildings within the target site. This facilitates the timely detection of abnormal or wasteful water and electricity consumption, allowing for appropriate adjustments and improved resource utilization efficiency. Based on the total water and electricity quota and the water and electricity consumption characteristics of each public building, the optimal water and electricity quota allocation value for each public building is determined. Optimizing the water and electricity quota allocation can reduce unnecessary energy consumption, making the quota allocation more accurate, lowering the operating costs of manual resource allocation in public buildings, and improving resource allocation efficiency. By determining the optimal water and electricity quota allocation value, a water and electricity quota allocation plan for each public building within the target site is established, ensuring the rational allocation of water and electricity resources and thus solving the problem of low resource allocation efficiency.

[0081] Other features and advantages of the embodiments of this application will be described in detail in the following detailed description section. Attached Figure Description

[0082] Figure 1 A flowchart illustrating a method for intelligent allocation of public building resources based on a hydropower quota platform, provided in this application embodiment;

[0083] Figure 2 A schematic diagram illustrating the payment and payment inquiry process of a water and electricity quota platform provided in this application embodiment;

[0084] Figure 3 This is a schematic diagram of the structure of a hydropower quota platform provided in an embodiment of this application. Detailed Implementation

[0085] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for illustration and explanation of the embodiments of this application and are not intended to limit the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0086] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0087] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0088] Figure 1 This illustration schematically shows a flowchart of a method for intelligent allocation of public building resources based on a water and electricity quota platform according to an embodiment of this application. Figure 1 As shown in the embodiment of this application, a method for intelligent allocation of public building resources based on a water and electricity quota platform is provided. This method is applied to a quota management system, which is equipped with a water and electricity quota platform. The method may include the following steps.

[0089] S110. Obtain historical water and electricity consumption data of the target location through the first preset database, and determine the water and electricity consumption characteristics of each public building in the target location based on the historical water and electricity consumption data.

[0090] S120. Obtain the first building attribute characteristics of each public building;

[0091] S130. Obtain the first water and electricity consumption data of each public building in the target site in real time through the water and electricity quota platform;

[0092] S140. Based on the first building attribute characteristics and the first water and electricity consumption data, determine whether there are buildings with abnormal consumption at the target site;

[0093] S150. If there are no buildings with abnormal consumption at the target location, obtain the total value of the water and electricity quota for the target location.

[0094] S160. Based on the total value of water and electricity quotas and the water and electricity consumption characteristics of each public building, determine the optimal water and electricity quota allocation value for each public building.

[0095] S170. Using the preset second allocation logic, determine the water and electricity quota allocation plan for each public building in the target site based on the optimal water and electricity quota allocation value.

[0096] S180. Send the hydropower quota allocation plan to the hydropower quota platform and display the hydropower quota allocation plan.

[0097] like Figure 2As shown in the illustration, this application provides a flowchart of the payment and payment inquiry process for a water and electricity quota platform. First, the payment process involves each secondary unit paying water and electricity fees and generating a settlement statement. Next, the settlement information is verified by the energy center, which then prints the settlement statement and bill details. Finally, the financial reconciliation process involves confirming the settlement information with the finance department, including research funding and third-party payments, thus completing the payment and payment inquiry process.

[0098] Historical water and electricity consumption data of the target location is obtained from a first preset database. Based on this data, the water and electricity consumption characteristics of each public building in the target location are determined. In this embodiment, the target location can be determined according to actual conditions; it can be a centralized location such as a school or hospital. Specifically, firstly, historical water and electricity consumption data of the target location can be extracted from the database according to preset query conditions (such as time range, building ID, etc.). This historical data can include information such as date, building ID, and water and electricity consumption. Subsequently, the water and electricity consumption characteristics of each public building are determined by analyzing the historical data. These characteristics can be derived from time trend analysis, consumption trend analysis, and consumption pattern analysis. Time trend analysis involves analyzing the water and electricity consumption data of each building over time to observe its changes and identify patterns such as seasonal fluctuations and periodic changes. Consumption trend analysis compares the water and electricity consumption of different buildings within the same time period to identify buildings with higher or lower consumption. Consumption pattern analysis identifies the unique consumption characteristics of each building by analyzing its water and electricity consumption patterns in different time periods (such as weekdays and weekends, daytime and nighttime). Specifically, energy consumption patterns can be either peak-period or off-peak. Some public buildings experience peak energy consumption during specific time periods (such as weekdays). For example, teaching and office buildings experience a significant increase in energy consumption during the day due to the use of equipment such as offices, meetings, lighting, and air conditioning. Off-peak consumption patterns, the opposite of peak periods, refer to the energy consumption patterns of buildings during times when human activity decreases and equipment usage is reduced. For example, teaching and office buildings typically have lower energy consumption at night or on weekends because students and teachers are usually not present, and equipment usage is correspondingly reduced.

[0099] Next, the first architectural attribute characteristics of each public building are obtained. In this embodiment, the first architectural attribute characteristics include architectural structural characteristics, which refer to the physical properties and construction methods formed during the design and construction process of the building. The first architectural attribute characteristics of each public building can be obtained by reviewing design drawings and conducting on-site surveys.

[0100] Subsequently, the first water and electricity consumption data of each public building within the target site is acquired in real time through the water and electricity quota platform. In this embodiment, the first water and electricity consumption data refers to the real-time water and electricity consumption data of each public building. Specifically, the scope of the target site and all public buildings within it are defined in the water and electricity quota platform, and a unique identifier is assigned to each public building for differentiation and tracking on the platform. Then, data acquisition devices such as smart meters and water meters are pre-installed in each public building to collect water and electricity consumption data in real time. The data acquisition devices are connected to the water and electricity quota platform to ensure that the data can be uploaded to the platform in real time.

[0101] After obtaining the initial water and electricity consumption data for each public building, based on the initial building attribute characteristics and the initial water and electricity consumption data, it is determined whether there are buildings with abnormal consumption in the target location. Specifically, firstly, in a second preset database, the average water and electricity consumption values ​​for rooms and the water and electricity consumption values ​​for the building's public areas corresponding to the building's structural characteristics are obtained. That is, the building structural characteristics (such as building materials, building form, etc.) are input into the second preset database to determine the average water and electricity consumption values ​​for rooms and the water and electricity consumption values ​​for the building's public areas corresponding to the building structural characteristics. Subsequently, for any public building, the number of rooms in the public building is obtained, which can be determined by consulting the design drawings. Next, the number of rooms is multiplied by the average water and electricity consumption value for each room to obtain the water and electricity consumption value for each room in the public building. The room water and electricity consumption values ​​and the water and electricity consumption values ​​for the building's public areas are added together to determine the standard water and electricity consumption value for each public building. In this embodiment, the standard water and electricity consumption value refers to the standard data for water and electricity consumption of the public building determined by the initial building attribute characteristics. That is, a reasonable consumption benchmark or limit is formulated based on the building structural characteristics of the public building and comprehensively considering its water and electricity consumption characteristics. Once the standard water and electricity consumption value is determined, if the difference between the first water and electricity consumption data and the standard water and electricity consumption value is greater than a preset threshold, it is determined that there is an abnormal consumption building in the target location. In this embodiment, the preset threshold can be determined according to the actual situation.

[0102] When there are no buildings with abnormal water and electricity consumption at the target location, the total water and electricity quota value for the target location is obtained. In this embodiment, the water and electricity quota refers to a relatively reasonable unit water and electricity consumption value set for specific water and electricity users within a certain period. That is to say, when it is determined that there are no buildings with abnormal water and electricity consumption at the target location, the total water and electricity quota value for the target location can be a pre-set total water and electricity quota value.

[0103] Subsequently, based on the total value of water and electricity quotas and the water and electricity consumption characteristics of each public building, the optimal water and electricity quota allocation value for each public building is determined. The total value of water and electricity quotas refers to the total unit water and electricity consumption set for a target location or public building within a certain period. In other words, based on the water and electricity consumption characteristics of each public building, a suitable quota allocation method is formulated, which can be based on the benchmark quota method based on factors such as building area, number of personnel, and number of equipment. The benchmark quota method can be a quota allocation method based on historical data. According to the formulated quota allocation method, the optimal water and electricity quota allocation value for each public building is obtained. In this embodiment, the optimal water and electricity quota allocation value refers to the set value of water and electricity consumption determined for each public building based on its specific water and electricity consumption characteristics, historical data, area, number of people, and other factors, which can both meet its normal use needs and achieve reasonable allocation and effective utilization of resources.

[0104] After determining the optimal water and electricity quota allocation values, a preset second allocation logic is adopted. Based on the optimal water and electricity quota allocation values, the water and electricity quota allocation plan for each public building in the target site is determined. In other words, based on the preset second allocation logic and the optimal water and electricity quota allocation values, a specific allocation plan for each public building is formulated, clarifying the amount of water and electricity resources that should be allocated to each public building, as well as the corresponding allocation rules and schedule.

[0105] Subsequently, the water and electricity quota allocation plan is sent to the water and electricity quota platform and displayed. In other words, the water and electricity quota allocation plan for each public building is submitted to the water and electricity quota platform. When the water and electricity quota allocation plan is successfully submitted to the platform, the platform will display the data based on the submitted data. The displayed data may include the water and electricity quota values ​​for each public building, as well as other relevant information (such as building type, area, etc.).

[0106] By analyzing historical water and electricity consumption data, we can gain a more accurate understanding of the water and electricity consumption characteristics of each public building, thereby developing a quota allocation plan that better meets actual needs. Real-time acquisition of the initial water and electricity consumption data for each public building within the target site, and based on the initial building attribute characteristics and initial water and electricity consumption data, helps to identify any abnormal consumption buildings within the target site. This facilitates the timely detection of anomalies or waste in water and electricity consumption, allowing for appropriate adjustments and improved resource utilization efficiency. Based on the total water and electricity quota value and the water and electricity consumption characteristics of each public building, the optimal water and electricity quota allocation value for each public building can be determined. Optimizing the water and electricity quota allocation can reduce unnecessary energy consumption, making the quota allocation more accurate, helping to avoid energy waste, and thus reducing the operating costs of public buildings. By determining the optimal water and electricity quota allocation value, a water and electricity quota allocation plan for each public building within the target site can be established, improving the operational efficiency and service quality of public buildings, ensuring the rational allocation of water and electricity resources, and ultimately enhancing user experience and satisfaction.

[0107] In one embodiment of this invention, the method further includes:

[0108] S210. If there is an abnormally consumed building at the target location, obtain the second building attribute feature of the abnormally consumed building. The second building attribute feature is used to characterize the attribute features related to abnormal consumption.

[0109] S220. Input the second building attribute characteristics and water and electricity consumption data into the pre-trained neural network model to determine the reasons for the abnormal consumption of buildings exceeding the quota.

[0110] S230. Based on the reasons for exceeding the quota, determine the excess water and electricity consumption data corresponding to the reasons for exceeding the quota in the first preset database.

[0111] S240. Obtain the abnormal water and electricity consumption value of the building with abnormal consumption.

[0112] S250. Subtract the abnormal water and electricity consumption data from the excessive water and electricity consumption data to obtain the corrected water and electricity consumption data.

[0113] In the case of buildings with abnormal energy consumption at the target location, the second building attribute characteristics of these buildings are obtained. In this embodiment, the second building attribute characteristics are used to characterize attributes related to abnormal energy consumption, such as building area and volume, and the configuration and efficiency of energy-consuming equipment within the building. Building area and volume are important factors affecting energy consumption; larger buildings typically require more energy to maintain normal operation. The configuration and efficiency of equipment within the building are also key factors affecting energy consumption. For example, high-efficiency air conditioning, lighting, and elevator systems can significantly reduce energy consumption. Specifically, firstly, the second building attribute characteristics of the buildings with abnormal energy consumption can be obtained from a preset database. Information about the buildings with abnormal energy consumption, such as the building ID, is input into the preset database, and the second building attribute characteristics corresponding to the building ID are searched in the preset database.

[0114] Subsequently, the second building attribute characteristics and water and electricity consumption data are input into a pre-trained neural network model to determine the reasons for exceeding the quota for buildings with abnormal consumption. That is, the second building attribute characteristics, such as building type, area, structure, materials, and equipment configuration, are input into the pre-trained neural network model. The pre-trained neural network model can be a BP neural network, which is a multi-layer feedforward neural network trained using the backpropagation algorithm. Next, the trained neural network model is used to predict the water and electricity consumption of buildings with abnormal consumption. The prediction results are compared with the actual consumption data. Based on the model output and the second building attribute characteristics, the causes of abnormal consumption are analyzed to determine the reasons for exceeding the quota for buildings with abnormal consumption.

[0115] After determining the cause of the building's abnormal energy consumption exceeding the quota, the excess water and electricity consumption data corresponding to the cause is determined in a first preset database. In this embodiment, excess water and electricity consumption data refers to the portion of water and electricity consumption exceeding the normal level within a specific time period due to some abnormal reason (such as equipment failure, improper personnel behavior, etc.). Specifically, firstly, it is necessary to clarify the specific reason for the excess water and electricity consumption, which may be due to equipment aging, changes in personnel activity patterns, unreasonable building structural design, improper electricity use behavior, etc., leading to excess water and electricity consumption exceeding the quota. Subsequently, based on the cause of the excess, the fields to be queried in the database are determined. Based on the characteristics of the cause of the excess and the pre-set query conditions, data related to the cause of the excess is filtered out to obtain the excess water and electricity consumption data corresponding to the cause of the excess. For example, when it is determined that the cause of the excess is increased energy consumption due to equipment aging, query conditions are set based on the characteristics of the cause of the excess. The query conditions can be equipment type, such as air conditioning, lighting, elevator, etc. Subsequently, using database query tools (such as SQL) or data analysis software (such as Excel, Python, etc.), based on the pre-set equipment type, data related to the reasons for exceeding the quota are filtered out from the raw data to obtain the corresponding excess water and electricity consumption data.

[0116] The process involves obtaining the abnormal water and electricity consumption values ​​for the building with the current abnormal consumption patterns. Specifically, this means retrieving the abnormal water and electricity consumption values ​​from the quota management system. The abnormal water and electricity consumption values ​​refer to the total water and electricity resources consumed by the abnormally consuming building. Then, the abnormal water and electricity consumption values ​​are subtracted from the excess water and electricity consumption data to obtain the corrected water and electricity consumption data. In other words, the excess water and electricity consumption data caused by an abnormal reason is a special case and not a general situation. Therefore, it is necessary to subtract the excess water and electricity consumption data from the total water and electricity resources consumed by the abnormally consuming building to obtain the corrected water and electricity consumption data. The corrected water and electricity consumption data represents the amount of water and electricity resources the building should consume under normal circumstances after excluding abnormal factors. The corrected data more accurately reflects the amount of water and electricity resources the building should consume under normal circumstances. By subtracting the excess consumption, consumption caused by abnormal factors is eliminated, resulting in more accurate data.

[0117] By correcting the water and electricity consumption data of buildings with abnormal consumption patterns, the actual water and electricity consumption of buildings can be reflected more accurately, which helps to reduce energy consumption and improve energy efficiency.

[0118] In one embodiment of this invention, the first building attribute feature includes building structural features. Based on the first building attribute feature and the first water and electricity consumption data, determining whether there are buildings with abnormal consumption at the target location includes:

[0119] S310. Determine the water and electricity usage efficiency and consumption pattern of each public building based on building structural characteristics and primary water and electricity consumption data;

[0120] S320. In the second preset database, obtain the average water and electricity consumption values ​​of the rooms and the water and electricity consumption values ​​of the common areas of the building corresponding to the building structural characteristics.

[0121] S330. For any public building, obtain the number of rooms in the public building;

[0122] S340. Multiply the number of rooms by the average water and electricity consumption of each room to obtain the water and electricity consumption of each room in the public building.

[0123] S350. Add the water and electricity consumption values ​​of the rooms and the water and electricity consumption values ​​of the common areas of the building to determine the standard water and electricity consumption values ​​for each common building.

[0124] S360. If the difference between the first water and electricity consumption data and the standard water and electricity consumption value is greater than the preset threshold, it is determined that there is an abnormal consumption building in the target location.

[0125] Based on building structural characteristics and initial water and electricity consumption data, the water and electricity usage efficiency and consumption patterns of each public building are determined, including the following steps:

[0126] In the first preset database, the area data corresponding to the architectural structural characteristics of each public building is determined;

[0127] Based on the area data and initial water and electricity consumption data of each public building, calculate the water and electricity usage efficiency of each public building;

[0128] The consumption data of the first water and electricity and the structural characteristics of the buildings were analyzed to determine the consumption characteristics of each public building;

[0129] Based on the consumption characteristics of each public building, the consumption pattern of each public building is determined.

[0130] In the first preset database, the area data corresponding to the building structure features of each public building is determined. In this embodiment, the building structure features of the public building can be the number of building floors and the building structure form (such as frame structure). That is, based on the number of building floors and the building structure form (such as frame structure), the building structure features are matched with the area data according to the preset matching rules by using the database query method to determine the area data of each public building.

[0131] Subsequently, based on the area data and initial water and electricity consumption data of each public building, the water and electricity usage efficiency of each public building is calculated. In this embodiment, the initial water and electricity consumption data refers to the real-time water and electricity consumption data of each public building. That is, based on the acquired initial water and electricity consumption data and the area data of the public buildings, water and electricity usage efficiency indicators, such as electricity consumption per unit area and water consumption per unit of people, are calculated. To calculate the water and electricity usage efficiency indicators, the water and electricity consumption data of each public building are added together to obtain the total water and electricity consumption. The total water and electricity consumption is then divided by the area data of the public buildings to obtain the water and electricity consumption per unit area. The water and electricity consumption per unit area is used to characterize the water and electricity usage efficiency. Similarly, the water and electricity consumption per unit area of ​​each public building is calculated to obtain the water and electricity usage efficiency of each public building.

[0132] Next, the primary water and electricity consumption data and building structural characteristics are analyzed to determine the consumption characteristics of each public building. Specifically, primary water and electricity consumption data, including electricity and water consumption, are obtained from the public building quota management system. The building structural characteristics are analyzed, including the building's scale and area, layout and spatial structure. The scale and area of ​​the public buildings are examined, including the total building area and the area of ​​each floor; the layout and spatial structure include room layout, corridor width, and staircase location. Through the analysis of building structural characteristics, the impact of these characteristics on energy consumption is clarified. A comprehensive analysis is conducted by combining water and electricity consumption data with building structural characteristics, and based on the analysis results, the consumption characteristics of each public building are determined. These consumption characteristics may include energy consumption trends and energy consumption levels.

[0133] Based on the consumption characteristics of each public building, the consumption pattern of each building is determined. That is, by analyzing the consumption characteristics of each public building, the energy consumption trend and energy consumption level are identified. These characteristics are then categorized according to preset standards to determine the consumption pattern of each public building. The consumption pattern refers to the regularity of water and electricity consumption over time, such as diurnal variations or seasonal variations. Consumption patterns can be categorized based on the amount of energy consumed, such as high-energy-consumption patterns and low-energy-consumption patterns.

[0134] In the second preset database, the average water and electricity consumption values ​​for rooms and the water and electricity consumption values ​​for the building's common areas, corresponding to the building's structural characteristics, are retrieved. Specifically, first, the building's structural characteristics to be queried need to be defined. These characteristics can include the building type, number of floors, number of rooms, room types, building materials, insulation performance, etc. Next, the second preset database storing water and electricity consumption data needs to be accessed. In the second preset database, based on the determined building structural characteristics, the corresponding average water and electricity consumption values ​​for rooms and the building's common areas are retrieved.

[0135] Subsequently, for any given public building, the number of rooms in the building is obtained; that is, the total number of rooms contained within the public building is determined. This can be done by using the building floor plan and counting the number of rooms based on the markings on the floor plan. The water and electricity consumption values ​​of each room are added to the water and electricity consumption values ​​of the building's common areas to determine the standard water and electricity consumption value for each public building. Specifically, the water and electricity consumption data collected from each room in the public building is added to the water and electricity consumption data collected from the building's common areas (such as corridors, staircases, elevator shafts, lobbies, etc.). The total water and electricity consumption value of all rooms in the public building is then obtained. The water and electricity consumption values ​​of the building's common areas are then directly added to obtain the total water and electricity consumption value of the common areas. Finally, the total water and electricity consumption value of the rooms is added to the total water and electricity consumption value of the common areas to obtain the standard water and electricity consumption value for each public building. In this embodiment, the standard water and electricity consumption value is a theoretical water and electricity consumption calculated based on factors such as the building's structural characteristics, the number of rooms, historical consumption data, and industry averages. It represents the water and electricity consumption that the location should consume under normal circumstances.

[0136] After obtaining the standard water and electricity consumption values ​​for each public building, if the difference between the first water and electricity consumption data and the standard water and electricity consumption value is greater than a preset threshold, it is determined that there is an abnormal consumption building in the target location. In other words, when the difference between the actual consumption data (first water and electricity consumption data) and the standard consumption value exceeds the preset threshold, the target location is considered to be a building with abnormal consumption, indicating that there may be problems such as energy waste, equipment failure, or poor management in the location. Therefore, it can be determined that there is an abnormal situation in the energy use of the target location.

[0137] By identifying whether there are buildings with abnormal energy consumption in the target site, the building's energy usage can be accurately assessed, which helps to promptly detect abnormal consumption and take corresponding energy-saving measures, thereby improving the energy efficiency of public buildings.

[0138] In one embodiment of this invention, the optimal water and electricity quota allocation value for each public building is determined based on the total water and electricity quota value and the water and electricity consumption characteristics of each public building, including:

[0139] S410. Based on the water and electricity consumption characteristics of each public building, determine the first basic consumption attribute of each public building, wherein the first basic consumption attribute is used to reflect the impact of water and electricity usage efficiency and consumption pattern on water and electricity consumption.

[0140] S420. Calculate the weight of the first basic consumption attribute between the first basic consumption attribute and the water and electricity consumption using a preset weighting formula.

[0141] S430. Multiply the weight of the first basic consumption attribute by the water and electricity consumption of each public building to obtain the weighted attribute value of each public building.

[0142] S440. Sum the weighted attribute values ​​of all public buildings to obtain the sum of the weights of the first basic consumption attribute;

[0143] S450. Determine the relative proportion of water and electricity consumption for each public building by using the ratio between the weighted attribute value of each public building and the sum.

[0144] S460. Determine the basic allocation value for each public building by using relative proportions and the total value of water and electricity quotas;

[0145] S470. Based on the preset first allocation logic, the basic allocation value is adjusted to obtain the adjusted basic allocation value, which is used to represent the optimal hydropower quota allocation value.

[0146] First, based on the water and electricity consumption characteristics of each public building, a primary basic consumption attribute is determined for each building. In this embodiment, the primary basic consumption attribute reflects the impact of water and electricity usage efficiency and consumption patterns on water and electricity consumption. The water and electricity consumption characteristics of each public building refer to the unique properties and patterns exhibited by public buildings of different types, sizes, and functions in terms of water and electricity usage. In other words, by analyzing the water and electricity consumption characteristics of each public building, the impact of its usage efficiency and consumption patterns on water and electricity consumption is determined. Specifically, historical water and electricity consumption data of public buildings are analyzed using statistical methods to identify potential patterns and trends in energy consumption data. Combining the analysis results of water and electricity usage efficiency and consumption patterns, a comprehensive index is constructed as the primary basic consumption attribute. This index can be a weighted sum, product, or other form of combination, used to quantify the impact on water and electricity consumption.

[0147] Secondly, the weight of the first basic consumption attribute between the first basic consumption attribute and water and electricity consumption is calculated using a preset weighting formula. In this embodiment, the weight of the first basic consumption attribute between the first basic consumption attribute and water and electricity consumption can be calculated using a standardization method. The standardization method is mainly used to adjust the weight values ​​of different evaluation dimensions to the same proportion, so as to more objectively reflect the relative importance between elements. Specifically, the preprocessed data is substituted into the preset weighting formula, and the calculation is performed according to the preset weighting formula to obtain the weight of the first basic consumption attribute, which is the weight of the first basic consumption attribute between the first basic consumption attribute and water and electricity consumption. The weight of the first basic consumption attribute reflects the importance of the first basic consumption attribute in determining water and electricity consumption.

[0148] Multiply the weight of the first basic consumption attribute by the water and electricity consumption of each public building to obtain the weighted attribute value of each public building. In other words, after obtaining the weight of the first basic consumption attribute and the corresponding water and electricity consumption of each public building, the weighted attribute value is calculated using the weighted attribute value formula, as shown below:

[0149] Weighted attribute value = weight × water and electricity consumption

[0150] The weighted attribute value for each public building is calculated using a formula. This weighted attribute value reflects the relative magnitude of each public building's water and electricity consumption, taking into account the weight of the first basic consumption attribute. A higher weighted attribute value indicates that the building occupies a more significant position in overall energy consumption and may require more attention and management.

[0151] The weighted attribute values ​​of all public buildings are summed to obtain the total weight of the first basic consumption attribute. In other words, once the weighted attribute value of each public building is obtained, each weighted attribute value is added together to obtain the total, which is the total weight of the first basic consumption attribute.

[0152] After obtaining the sum of the weights of the first basic consumption attributes, the relative proportion of water and electricity consumption for each public building is determined by the ratio between the weighted attribute value of each public building and the sum. In other words, after determining the weighted attribute values ​​and the sum of the weighted attribute values ​​of all public buildings, for each public building, its weighted attribute value is divided by the sum to obtain the relative energy consumption proportion of that building. The formula for calculating the relative proportion is as follows:

[0153] Relative proportion = weighted attribute value of the building / total

[0154] By using the relative proportion calculation formula, the relative proportion of each public building can be obtained. Based on the calculated relative proportion, the relative size of each public building in terms of water and electricity consumption can be analyzed.

[0155] Next, the basic allocation value for each public building is determined using the relative proportions and the total water and electricity quota. That is, based on the previously obtained relative proportions and the total water and electricity quota, the total water and electricity quota can be calculated using parameters such as the building area and equipment quantity of each type of public building, along with the corresponding water and electricity quota data, to obtain the total water and electricity quota for the entire public building group. Multiplying the total water and electricity quota for the entire public building group by the relative proportion of each public building yields the basic allocation value for each type of public building. The formula for calculating the basic allocation value is shown below:

[0156] Basic allocation value = (Weight value of this type of public building / Sum of weight values ​​of all public buildings) × Total value of water and electricity quota

[0157] After obtaining the basic allocation value, it is adjusted based on a preset first allocation logic to obtain an adjusted basic allocation value. This adjusted basic allocation value represents the optimal water and electricity quota allocation value. In this embodiment, the preset first allocation logic is an allocation logic that adjusts the basic allocation value according to each of the aforementioned influencing factors. That is, based on the first allocation logic, it is determined which factors will affect the adjustment of the basic allocation value. These influencing factors may include the building's energy efficiency rating, usage frequency, special equipment requirements, geographical location, etc. Subsequently, a quantitative coefficient is assigned to each adjustment factor. This coefficient reflects the degree of influence of the factor on the water and electricity quota allocation. The coefficient can be positive (indicating an increase in allocation) or negative (indicating a decrease in allocation). Using the basic allocation value and the adjustment coefficient, the adjusted basic allocation value for each public building is calculated. The formula for calculating the adjusted basic allocation value is as follows:

[0158] Adjusted base allocation value = Base allocation value × (1 + Sum of adjustment coefficients)

[0159] By adjusting the coefficients, the adjusted basic allocation value of each public building is corrected to obtain the adjusted basic allocation value. In this embodiment, the adjusted basic allocation value is used to characterize the optimal water and electricity quota allocation value.

[0160] For example, suppose there are two public buildings, A and B, with first basic consumption attribute weights of 0.6 and 0.4 respectively, corresponding to attribute values ​​of 1000 and 800, and a total water and electricity quota of 10000 kWh. Calculate the weighted attribute value of building A: 0.6 x 1000 = 600; calculate the weighted attribute value of building B: 0.4 x 800 = 320. Add the weighted attribute values ​​of building A and building B together to get a total of 920. Therefore, the relative proportion of building A is 600 / 920 ~ 0.6522; the relative proportion of building B is 320 / 920 ~ 0.3478. Subsequently, calculate the basic allocation value based on the relative proportion and the total water and electricity quota: the basic allocation value of building A is 0.6522 x 10000 = 6522 kWh; the basic allocation value of building B is 0.3478 x 10000 = 3478 kWh.

[0161] By determining the optimal water and electricity quota allocation values ​​for each public building, we can reflect the efficiency and consumption patterns of water and electricity use, ensure a fairer allocation of water and electricity quotas, and gain a more accurate understanding of the water and electricity usage of public buildings, thereby enabling the development of more scientific and reasonable management strategies.

[0162] In one embodiment of this invention, determining the optimal water and electricity quota allocation value for each public building based on the total water and electricity quota value and the water and electricity consumption characteristics of each public building further includes:

[0163] S510. Based on the total value of water and electricity quotas and the water and electricity consumption characteristics of each public building, predict the water and electricity consumption data of each public building.

[0164] S520. Perform a goodness-of-fit test on the water and electricity consumption data of each public building to obtain the probability density distribution of the water and electricity consumption data.

[0165] S530. Based on the probability density distribution, construct a distribution table to display the distribution of energy consumption data;

[0166] S540. In the distribution table, the quota value of public buildings is determined according to the preset probability level, wherein the quota value is used to characterize the optimal water and electricity quota allocation value.

[0167] First, based on the total water and electricity quota and the water and electricity consumption characteristics of each public building, the water and electricity consumption data for each public building is predicted. Specifically, a prediction model is first established, which can be based on regression analysis, time series analysis, machine learning, or other prediction methods. A suitable prediction method is selected to build the model based on the collected data and the characteristics of the analysis. Historical data is then used to train the model to improve its prediction accuracy. Next, the prediction conditions are input; in this embodiment, the prediction conditions are the total water and electricity quota and the water and electricity consumption characteristics of each public building. Based on these conditions, the water and electricity consumption data for each public building during the prediction period is output.

[0168] Secondly, a goodness-of-fit test is performed on the water and electricity consumption data of each public building to obtain the probability density distribution of the water and electricity consumption data. The goodness-of-fit test is an important part of the statistical significance test using the chi-square statistic, used to evaluate whether the statistical model can well describe the observed data. Based on the overall distribution, the expected frequency of each category in the categorical variable is calculated and compared with the observed frequency of the distribution to determine whether there is a significant difference between the expected frequency and the observed frequency, thus achieving the purpose of analysis from the perspective of categorical variables. Specifically, firstly, water and electricity consumption data are collected from the water and electricity meters of each public building, and the collected data is preprocessed. Secondly, based on the characteristics of the data and the preset probability distribution type, a suitable candidate distribution is selected. Candidate distributions can be normal distribution, log-normal distribution, exponential distribution, Weibull distribution, etc. The preset probability distribution type can be determined according to the characteristics of the data (such as whether it is skewed, whether it has peaks, etc.) and the actual background of water and electricity consumption. Subsequently, statistical software or programming tools (such as R, Python, etc.) are used to perform a goodness-of-fit test on each candidate distribution. Goodness-of-fit tests can be performed using methods such as the chi-square test, Kolmogorov-Smirnov test, and Anderson-Darling test. Next, based on the results of the goodness-of-fit test, the candidate distribution with the smallest statistic is selected as the best-fit distribution. After determining the best-fit distribution, its parameters (such as mean, variance, shape parameters, etc.) are estimated. Finally, based on the selected distribution and the estimated parameters, the distribution characteristics of hydropower consumption data are interpreted, and energy-saving strategies and future consumption predictions may be formulated accordingly.

[0169] After obtaining the probability density distribution of water and electricity consumption data, a distribution table is constructed based on this distribution. In this embodiment, the distribution table is used to display the distribution of energy consumption data; that is, the distribution table is constructed according to the fitted probability density distribution. The distribution table includes the intervals of energy consumption data, the number or frequency of data points in each interval, and the probability density value of each interval. The distribution table can be used to intuitively display the distribution of energy consumption data, such as which intervals have more data points and which intervals have fewer data points.

[0170] Next, in the distribution table, the quota value for public buildings is determined according to a preset probability level. In this embodiment, the quota value is used to represent the optimal allocation of water and electricity quotas. That is, based on actual needs and management objectives, a probability level (such as 90%, 95%, etc.) is preset. The probability level is used to determine the range of energy consumption data covered by the quota value. Subsequently, the energy consumption data interval corresponding to the preset probability level is found in the distribution table, and the quota value for public buildings is determined according to the upper or lower limit of this interval (or a value determined according to specific circumstances). In this embodiment, the quota value is used to represent the optimal allocation of water and electricity quotas for public buildings under the preset probability level.

[0171] For example, assuming there is water and electricity consumption data for a public building, which, after fitting, is found to follow a log-normal distribution, the following distribution table can be constructed:

[0172] Assuming a preset probability level of 95%, the energy consumption interval with a cumulative probability of 95% found in the distribution table is [3, 4]. Based on the upper limit of this interval (4 on the logarithmic scale), it can be converted back to the original scale (assuming the logarithmic base is e, then the quota value on the original scale is e). 4 This serves as the quota value for the public building.

[0173] By determining the optimal water and electricity quota allocation values ​​for each public building, comprehensive management and optimization of water and electricity consumption data for public buildings can be achieved. This not only helps improve energy efficiency and reduce energy waste, but also promotes sustainable development and environmental protection.

[0174] In one embodiment of this invention, the basic allocation value is adjusted based on a preset first allocation logic to obtain an adjusted basic allocation value, including:

[0175] S610. Determine the influencing factors of the basic allocation value through the first allocation logic;

[0176] S620. Compare any two influencing factors to obtain the ratio of the two influencing factors;

[0177] S630. Construct a judgment matrix from the ratios, and calculate the eigenvalues ​​and eigenvectors of the judgment matrix;

[0178] S640. Determine the importance values ​​of influencing factors through eigenvalues ​​and eigenvectors;

[0179] S650. Generate adjustment factors based on the importance values ​​of the influencing factors;

[0180] S660. Determine the adjustment coefficient for each influencing factor using the importance value and adjustment factor;

[0181] S670. Adjust the basic allocation value using the adjustment coefficient corresponding to each influencing factor to obtain the adjusted basic allocation value.

[0182] Based on a preset first allocation logic, the basic allocation value is adjusted to obtain the adjusted basic allocation value. Specifically, firstly, the influencing factors of the basic allocation value are determined through the first allocation logic. In this embodiment, the preset first allocation logic is the allocation logic for determining the corresponding influencing factors based on a preset excess range. That is, by determining the difference between the minimum quota allocation lower limit and the maximum quota allocation upper limit of public buildings, the preset excess range corresponding to the quota allocation range difference is determined in the preset database, and the allocation logic for the corresponding influencing factors is determined based on the preset excess range.

[0183] Then, any two influencing factors are compared to obtain their ratio. In other words, the ratio is calculated by comparing two indicators that are different in nature but related. This ratio helps analyze the relative importance or correlation between different factors. For example, given two influencing factors X and Y, the ratio of X to Y can be calculated as follows:

[0184] Ratio = X / Y

[0185] The ratio provides a quantitative representation of X relative to Y. If the ratio is greater than 1, it means that X is more important or influential than Y. If the ratio is less than 1, it means that Y is more important or influential than X. If the ratio is close to 1, then X and Y are likely to be of similar importance or influence.

[0186] After obtaining the ratio of any two influencing factors, construct a judgment matrix using the ratio, and calculate the eigenvalues ​​and eigenvectors of the judgment matrix. For example, assuming there are n influencing factors, use these ratios to construct an n×n judgment matrix A, where the elements a of matrix A are... ij , representing the ratio of influencing factor i to influencing factor j. And in the judgment matrix, a ij >0 indicates that all ratios are positive, a ii =1 indicates that the ratio of each factor to itself is 1, and a ij =1 / a ji This means that if the ratio of i to j is a ij Then the ratio of j to i is 1 / a. ij Then, by calculating the characteristic polynomial of the judgment matrix A, n eigenvalues ​​can be obtained. For each eigenvalue, the corresponding eigenvector can be solved, and the largest eigenvalue can be found. The corresponding eigenvectors are usually used to represent the relative weights of each influencing factor.

[0187] Next, the importance values ​​of the influencing factors are determined using eigenvalues ​​and eigenvectors. Specifically, the eigenvectors corresponding to the largest eigenvalue are normalized so that the sum of all components is 1. The normalized eigenvector components are the importance values ​​of each influencing factor. Determining the importance values ​​of the influencing factors reflects their relative importance in the decision-making problem.

[0188] After determining the importance values ​​of the influencing factors, adjustment factors are generated based on these values. In other words, once the importance value of each influencing factor is determined, the computer automatically generates an adjustment factor, which is obtained by comparing the adjusted baseline value to the original baseline value. The adjustment factor reflects the relative influence of the factor on the project or decision outcome. Subsequently, using the importance value and the adjustment factor, an adjustment coefficient is determined for each influencing factor. That is, in this embodiment, the importance value reflects the relative importance of each influencing factor in the decision-making process. The adjustment factor is one or more coefficients set for each influencing factor based on the actual situation, used to reflect the changes of each factor under different circumstances, and can be determined according to the actual situation. The adjustment coefficient is obtained by combining the importance value with the adjustment factor. The specific calculation method may vary depending on the actual situation, but it usually involves multiplication or addition. For example, the importance value can be multiplied by the adjustment factor, or the adjustment factor can be added as a weight to the importance value.

[0189] The basic allocation value is adjusted using the adjustment coefficient corresponding to each influencing factor to obtain the adjusted basic allocation value. In this embodiment, the basic allocation value is an initial value assigned to each factor or activity before considering the differences in influencing factors. Once the adjustment coefficient for each influencing factor is determined, these coefficients can be applied to the basic allocation value through multiplication, i.e., multiplying the basic allocation value by the corresponding adjustment coefficient.

[0190] By comprehensively considering the importance of various influencing factors and adjusting the basic allocation value accordingly, we can ensure that resources are allocated to where they are most needed, thereby improving the efficiency of resource utilization.

[0191] In one embodiment of this example, the first allocation logic includes:

[0192] S710. Based on the water and electricity consumption characteristics of public buildings, determine the maximum value of water and electricity consumption in public buildings;

[0193] S720. The highest value of water and electricity consumption shall be used as the upper limit of the quota allocation for public buildings.

[0194] S730. Determine the minimum quota allocation limit for public buildings by using standard water and electricity consumption values;

[0195] S740. Subtract the upper limit of the highest quota allocation from the lower limit of the lowest quota allocation to obtain the difference in the quota allocation range;

[0196] S750. Determine the preset excess range corresponding to the difference in quota allocation range in the preset database, and determine the corresponding influencing factors based on the preset excess range.

[0197] Based on the water and electricity consumption characteristics of public buildings, this study aims to determine the highest water and electricity consumption values ​​among all public buildings. In other words, due to differences in building type and other factors, the water and electricity consumption characteristics of public buildings vary. For example, commercial office buildings, hospitals, transportation buildings (such as subways and airports), and sports stadiums will have different water and electricity consumption levels due to differences in their functions, equipment configurations, and personnel flow. The energy consumption levels of lighting equipment, air conditioning systems, elevators, ventilation equipment, and information and communication equipment depend on their efficiency, usage frequency, and operating time. By analyzing the water and electricity consumption characteristics of public buildings, the study aims to determine the highest water and electricity consumption values ​​among all these public buildings.

[0198] After determining the highest water and electricity consumption among all public buildings, this highest consumption value is used as the upper limit of the quota allocation for public buildings. In this embodiment, the upper limit of the quota allocation refers to the maximum allowable value of water and electricity consumption set for a specific public building or building complex, used to control energy consumption and avoid excessive consumption. In other words, the highest water and electricity consumption value is set as the upper limit of the quota allocation. Using standard water and electricity consumption values, the lower limit of the quota allocation for public buildings is determined. In this embodiment, the lower limit of the quota allocation refers to the minimum guaranteed value of water and electricity consumption set for public buildings, ensuring that the buildings can operate normally and meet basic needs. That is, based on building characteristics and needs, the minimum water and electricity consumption value required to meet basic operation is determined.

[0199] Subsequently, the difference between the highest and lowest quota allocation limits is obtained by subtracting the upper limit from the lower limit. This difference reflects the fluctuation range of energy consumption. Then, based on this difference, a corresponding preset excess range is found in a pre-defined database. Based on this preset excess range, the corresponding influencing factors are determined. The preset excess range reflects the potential energy consumption excess within the current energy consumption fluctuation range.

[0200] Through the first allocation logic, the allocation range of water and electricity consumption quotas for public buildings and its related influencing factors can be scientifically and rationally determined, which can produce effects such as the rationality of quota allocation, risk management and early warning, identification and management of influencing factors, and promotion of sustainable development.

[0201] In one embodiment of this invention, a water and electricity quota allocation plan for each public building within the target site is determined based on the optimal water and electricity quota allocation values, including:

[0202] S801. Obtain the area where each public building is located and the usage function of each public building in the target site;

[0203] S802. By using the function, determine the water and electricity resource requirements of each public building;

[0204] S803. Based on the demand for hydropower resources and the location of public buildings, determine the priority of quota allocation for public buildings;

[0205] S804. Determine the primary regional allocation value for each area based on the optimal water and electricity quota allocation value for each public building;

[0206] S805. Based on the quota allocation priority and the primary area allocation value of each area, the quota is allocated to each area using the preset second allocation logic to determine the water and electricity quota allocation plan for each public building in the target site.

[0207] The second allocation logic includes:

[0208] S806. Based on the water and electricity consumption characteristics of each public building, determine the second basic consumption attribute of each public building, wherein the second basic consumption attribute includes the consumption attribute during peak hours and the consumption attribute during off-peak hours.

[0209] S807. Obtain the second water and electricity consumption data for each public building in the consumption attributes during peak consumption periods;

[0210] S808. Sort the second water and electricity consumption data to identify high-consumption buildings;

[0211] S809, Prioritize acquiring high-consumption buildings;

[0212] S810. If the priority is lower than that of any public building in the area where the high-consumption building is located, then reduce the allocation quota of the high-consumption building to the preset allocation quota.

[0213] The location and function of each public building in the target site are obtained. In this embodiment, the target site can be determined according to the actual situation and can be obtained by querying urban planning maps and public databases. Urban planning maps are an important tool for understanding urban layout and can be found on municipal websites, planning bureau websites, or tourist information centers. By viewing urban planning maps, the specific location and approximate functional zoning of public buildings can be obtained.

[0214] After determining the location and function of each public building, the water and electricity requirements for each building are identified based on these functions. In other words, after determining the function of a public building, its water and electricity needs can be further analyzed. Different functions lead to different water and electricity consumption patterns. For example, hospitals may require a continuous power supply to support the operation of medical equipment, while schools may have higher electricity demands during the day to support teaching activities. Similarly, different types of buildings may have different water requirements; for example, the catering industry may require more water.

[0215] Subsequently, based on the demand for water and electricity resources and the location of public buildings, the priority of quota allocation for public buildings is determined. In other words, after understanding the water and electricity resource demands of public buildings, and combining this with information about their location, the priority of quota allocation can be further determined. According to the established standards and indicators, public buildings are prioritized, ensuring the water and electricity supply for critical public buildings (such as hospitals, schools, and emergency command centers) is prioritized. For public buildings with high resource demands but low operational efficiency, optimization and renovation or restrictions on their resource consumption are considered.

[0216] By using the optimal water and electricity quota allocation values ​​for each public building, the primary regional allocation values ​​for each area are determined. First, the optimal water and electricity quota allocation values ​​for all public buildings are summarized. These optimal allocation values ​​are derived from a comprehensive consideration of factors such as the specific needs of each building, historical consumption data, and operational efficiency. The target site is then divided into different areas, which can be administrative divisions, geographical zones, or functional zones. Based on the optimal quota values ​​for public buildings within each area, the primary regional allocation value for that area is calculated.

[0217] Secondly, based on the quota allocation priority and the initial regional allocation value for each area, a preset second allocation logic is used to allocate quotas to each area, determining the water and electricity quota allocation plan for each public building within the target site. In this embodiment, the preset second allocation logic determines the allocation quota for public buildings based on their priority. That is, a detailed water and electricity quota allocation plan is formulated based on the output of the second allocation logic. Specifically, the quota allocation priority and the initial regional allocation value are used as input parameters into the second allocation logic. Based on the output of the second allocation logic, the quota allocation values ​​for each area are adjusted to ensure they conform to the actual situation and priority requirements. Based on the adjusted regional quota allocation values, the quotas are further refined to each public building, formulating a detailed water and electricity quota allocation plan that clarifies the quota value, allocation schedule, and conditions for each public building.

[0218] The second allocation logic includes:

[0219] By analyzing the water and electricity consumption characteristics of each public building, a second basic consumption attribute is determined for each building. In this embodiment, the second basic consumption attribute includes peak-hour consumption attributes and off-hour consumption attributes. Specifically, historical water and electricity consumption data for each public building is obtained. The consumption patterns of each building during peak and off-hour periods are determined. Based on the analysis results, a second basic consumption attribute is set for each public building, including peak-hour consumption attributes and off-hour consumption attributes.

[0220] Subsequently, the second water and electricity consumption data for each public building is obtained from the peak consumption period consumption attributes. This allows for the extraction of water and electricity consumption data for each public building during peak hours from the data system. The second water and electricity consumption data is then sorted to identify high-consumption buildings; in other words, the extracted peak-hour water and electricity consumption data is sorted. Based on the sorting results, a list of buildings with the highest consumption is determined.

[0221] Next, the priority of high-consumption buildings is obtained by consulting relevant documents or databases to acquire priority information for each high-consumption building. If the priority of a high-consumption building is lower than that of any public building in the same area, its allocation quota is reduced to a preset allocation quota. In this embodiment, the preset allocation quota can be determined based on actual conditions; that is, the priority of the high-consumption building is compared with the priorities of other public buildings in its area. If the priority of a high-consumption building is low, its water and electricity allocation quota is reduced according to preset rules or standards. This ensures that the adjusted allocation quota meets the requirements of the preset allocation quota and maintains a reasonable allocation of resources.

[0222] By determining the water and electricity quota allocation plan for each public building within the target site, resource waste in high-consumption buildings can be reduced, the fairness of resource allocation can be ensured, and the excessive concentration of resources in certain buildings or areas can be avoided, which helps to reduce overall energy consumption and carbon emissions.

[0223] This application provides a quota management system, including:

[0224] The memory is configured to store instructions; and

[0225] The processor, which is equipped with a water and electricity quota platform, is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the above-mentioned intelligent allocation method for public building resources based on the water and electricity quota platform.

[0226] This application also provides a hydropower quota platform, which is applied to the aforementioned hydropower quota platform. Figure 3 This application provides a schematic diagram of the structure of a hydropower quota platform, as shown in the embodiment of the present application. Figure 3 As shown, it also includes:

[0227] The first data determination module 10 is used to obtain historical water and electricity consumption data of the target location through a preset database, and to determine the water and electricity consumption characteristics of each public building in the target location based on the historical water and electricity consumption data.

[0228] The first feature acquisition module 20 is used to acquire the first building attribute features of each public building;

[0229] The first data acquisition module 30 is used to acquire, in real time, the water and electricity consumption data of each of the public buildings in the target location through the water and electricity quota platform;

[0230] The first anomaly determination module 40 is used to determine whether there is an abnormal consumption building in the target location based on the first building attribute characteristics and the water and electricity consumption data.

[0231] The second data acquisition module 50 is used to acquire the total value of the water and electricity quota of the target location if there are no abnormal consumption buildings in the target location.

[0232] The first quota determination module 60 is used to determine the optimal water and electricity quota allocation value for each of the public buildings based on the total value of the water and electricity quota and the water and electricity consumption characteristics of each of the public buildings.

[0233] The first plan determination module 70 is used to determine the water and electricity quota allocation plan for each of the public buildings in the target location based on the optimal water and electricity quota allocation value using a preset second allocation logic.

[0234] The first plan display module 80 is used to send the hydropower quota allocation plan to the hydropower quota platform and display the hydropower quota allocation plan.

[0235] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0236] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0237] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0238] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0239] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0240] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0241] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0242] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0243] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for intelligent allocation of public building resources based on a hydropower quota platform, characterized in that, It is applied to a quota management system, wherein the quota management system is equipped with a water and electricity quota platform, including: Historical water and electricity consumption data of the target location is obtained through a first preset database, and the water and electricity consumption characteristics of each public building in the target location are determined based on the historical water and electricity consumption data. Obtain the first architectural attribute characteristics of each public building; The water and electricity quota platform is used to obtain the first water and electricity consumption data of each public building in the target location in real time. Based on the first building attribute characteristics and the first water and electricity consumption data, determine whether there are buildings with abnormal consumption at the target location; If there are no buildings with abnormal consumption at the target location, obtain the total water and electricity quota value of the target location; Based on the total value of the water and electricity quotas and the water and electricity consumption characteristics of each of the public buildings, determine the optimal water and electricity quota allocation value for each of the public buildings; Using a preset second allocation logic, the water and electricity quota allocation plan for each of the public buildings in the target location is determined based on the optimal water and electricity quota allocation value; The hydropower quota allocation plan is sent to the hydropower quota platform and displayed. In the case that there is an abnormally consumed building at the target location, the second building attribute feature of the abnormally consumed building is obtained, and the second building attribute feature is used to characterize the attribute features related to the abnormal consumption. The second building attribute features and the water and electricity consumption data are input into a pre-trained neural network model to determine the reasons for the abnormal consumption building exceeding the quota. Based on the reasons for exceeding the quota, the excess water and electricity consumption data corresponding to the reasons for exceeding the quota are determined in the first preset database; Obtain the abnormal water and electricity consumption values ​​of the currently abnormally consuming building; Subtract the abnormal water and electricity consumption value from the excessive water and electricity consumption data to obtain the corrected water and electricity consumption data; The first building attribute features include building structural features. The step of determining whether there are buildings with abnormal water and electricity consumption at the target location based on the first building attribute features and the first water and electricity consumption data includes: Based on the building structural features and the first water and electricity consumption data, the water and electricity usage efficiency and consumption pattern of each of the public buildings are determined; In the second preset database, obtain the average water and electricity consumption values ​​of the rooms and the water and electricity consumption values ​​of the common areas of the building corresponding to the building structural features; For any one of the public buildings, obtain the number of rooms in the public building; Multiply the number of rooms by the average water and electricity consumption of the rooms to obtain the water and electricity consumption of each room in the public building; The water and electricity consumption values ​​of the rooms and the water and electricity consumption values ​​of the common areas of the building are added together to determine the standard water and electricity consumption values ​​for each of the common buildings; If the difference between the first water and electricity consumption data and the standard water and electricity consumption value is greater than a preset threshold, then it is determined that there are buildings with abnormal water and electricity consumption at the target location.

2. The method according to claim 1, characterized in that, The step of determining the optimal water and electricity quota allocation value for each public building based on the total value of the water and electricity quotas and the water and electricity consumption characteristics of each public building includes: Based on the water and electricity consumption characteristics of each of the public buildings, a first basic consumption attribute is determined for each of the public buildings, wherein the first basic consumption attribute is used to reflect the impact of the water and electricity usage efficiency and the consumption pattern on the water and electricity consumption. The weight of the first basic consumption attribute between the first basic consumption attribute and the water and electricity consumption is calculated using a preset weighting formula. Multiply the weight of the first basic consumption attribute by the water and electricity consumption of each of the public buildings to obtain the weighted attribute value of each of the public buildings; Add up the weighted attribute values ​​of all the public buildings to obtain the sum of the weights of the first basic consumption attribute; The relative proportion of water and electricity consumption for each of the public buildings is determined by the ratio between the weighted attribute value of each of the public buildings and the sum. The basic allocation value for each of the public buildings is determined by the relative proportion and the total value of the water and electricity quota; Based on the preset first allocation logic, the basic allocation value is adjusted to obtain the adjusted basic allocation value, which is used to characterize the optimal hydropower quota allocation value.

3. The method according to claim 2, characterized in that, The step of determining the optimal water and electricity quota allocation value for each public building based on the total value of the water and electricity quotas and the water and electricity consumption characteristics of each public building further includes: Based on the total value of the water and electricity quota and the water and electricity consumption characteristics of each of the public buildings, the water and electricity consumption data of each of the public buildings are predicted; A goodness-of-fit test is performed on the water and electricity consumption data of each of the public buildings to obtain the probability density distribution of the water and electricity consumption data. Based on the probability density distribution, a distribution table is constructed, which is used to display the distribution of energy consumption data; In the distribution table, the quota value of the public building is determined according to the preset probability level, wherein the quota value is used to characterize the optimal water and electricity quota allocation value.

4. The method according to claim 2, characterized in that, The adjustment of the basic allocation value based on the preset first allocation logic to obtain the adjusted basic allocation value includes: The influencing factors of the basic allocation value are determined through the first allocation logic; Compare any two of the influencing factors to obtain the ratio of any two of the influencing factors; Construct a judgment matrix using the ratios, and calculate the eigenvalues ​​and eigenvectors of the judgment matrix; The importance values ​​of the influencing factors are determined by the eigenvalues ​​and eigenvectors. Based on the importance values ​​of the aforementioned influencing factors, an adjustment factor is generated; The adjustment coefficient for each of the influencing factors is determined by using the importance value and the adjustment factor. The basic allocation value is adjusted by using the adjustment coefficient corresponding to each of the influencing factors to obtain the adjusted basic allocation value.

5. The method according to claim 4, characterized in that, The first allocation logic includes: Based on the water and electricity consumption characteristics of the public building, determine the maximum value of water and electricity consumption in the public building; The highest value of the water and electricity consumption shall be used as the upper limit of the maximum quota allocation for the public building. The minimum quota allocation limit for the public building is determined by using the standard water and electricity consumption values. Subtracting the upper limit of the highest quota allocation from the lower limit of the lowest quota allocation yields the difference in the quota allocation range. Determine the preset excess range corresponding to the difference in the quota allocation range in the preset database, and determine the corresponding influencing factors based on the preset excess range.

6. The method according to claim 1, characterized in that, The step of determining the water and electricity quota allocation plan for each of the public buildings in the target site based on the optimal water and electricity quota allocation value includes: Obtain the area where each of the public buildings in the target site is located and the usage function of each of the public buildings; The water and electricity resource requirements of each of the aforementioned public buildings are determined through the aforementioned functions; Based on the water and electricity resource demand and the location of the public buildings, the priority of quota allocation for the public buildings is determined; The primary regional allocation value for each of the aforementioned public buildings is determined by using the optimal water and electricity quota allocation value for each of the aforementioned public buildings. Based on the quota allocation priority and the primary area allocation value of each area, a preset second allocation logic is used to allocate quotas to each area to determine the water and electricity quota allocation plan for each public building in the target location. The second allocation logic includes: Based on the water and electricity consumption characteristics of each of the public buildings, a second basic consumption attribute is determined for each of the public buildings, wherein the second basic consumption attribute includes a peak consumption period consumption attribute and a low consumption period consumption attribute; Obtain the second water and electricity consumption data for each of the public buildings from the consumption attributes during the peak consumption period; Sort the second set of water and electricity consumption data to identify high-consumption buildings; Obtain the priority of the high-consumption building; If the priority is lower than the priority of any public building in the area where the high-consumption building is located, then the allocation quota of the high-consumption building is reduced to the preset allocation quota.

7. A quota management system, characterized in that, include: The memory is configured to store instructions; as well as A processor, equipped with a hydropower quota platform, is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the intelligent allocation method for public building resources based on the hydropower quota platform according to any one of claims 1 to 6.

8. A hydropower quota platform, characterized in that, The method for intelligent allocation of public building resources based on a hydropower quota platform according to any one of claims 1-6 includes: The first data determination module is used to obtain historical water and electricity consumption data of the target location through a preset database, and to determine the water and electricity consumption characteristics of each public building in the target location based on the historical water and electricity consumption data. The first feature acquisition module is used to acquire the first building attribute features of each public building; The first data acquisition module is used to acquire, in real time, the water and electricity consumption data of each of the public buildings in the target location through the water and electricity quota platform; The first anomaly determination module is used to determine whether there are buildings with abnormal consumption in the target location based on the first building attribute characteristics and the water and electricity consumption data. The second data acquisition module is used to acquire the total value of the water and electricity quota of the target location if there are no buildings with abnormal consumption at the target location. The first quota determination module is used to determine the optimal water and electricity quota allocation value for each of the public buildings based on the total value of the water and electricity quota and the water and electricity consumption characteristics of each of the public buildings. The first planning module is used to determine the water and electricity quota allocation plan for each of the public buildings in the target location based on the optimal water and electricity quota allocation value using a preset second allocation logic. The first plan display module is used to send the hydropower quota allocation plan to the hydropower quota platform and display the hydropower quota allocation plan.

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