CN116090704A - Energy management method, device, equipment and medium for business tenant - Google Patents
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Abstract
The embodiment of the invention discloses an energy management method, device, equipment and medium for a business tenant. Wherein the method comprises the following steps: acquiring target energy consumption data of a target tenant, and determining target energy consumption information of the target tenant according to the target energy consumption data; the target energy consumption information is used for describing the change characteristics of the target energy consumption data along with time; determining the target energy consumption type of the target tenant according to the target energy consumption information and the energy consumption knowledge base; the energy consumption knowledge base is used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant, and the target energy consumption type is used for describing the business state characteristics of the target tenant; and performing energy management on the target tenant according to the target energy type. According to the technical scheme, the tenant energy management can be realized based on tenant energy type identification, the accuracy and reliability of tenant energy management are effectively improved, and meanwhile, the difficulty of tenant energy management is reduced.
Description
Technical Field
The present invention relates to the field of building asset management technologies, and in particular, to a method, an apparatus, a device, and a medium for managing energy of a business tenant.
Background
Tenant energy management in commercial buildings has various problems, such as: tenant electricity stealing and leakage, wrong power distribution and connection, abnormal energy consumption behavior, energy saving and emission reduction consultation and the like. Therefore, how to achieve efficient management of business tenant energy is one of the concerns in the field of building asset management.
The main scheme at present is that an energy consumption threshold is manually set according to experience for each commercial tenant, and when the actual energy consumption of the tenant exceeds the energy consumption threshold, the abnormal situation of the tenant is considered to exist. However, in this solution, if the same energy consumption threshold is set for each tenant, the accuracy and reliability of energy consumption management will be poor; if different energy consumption thresholds are set for each tenant, the randomness of energy consumption management is high, the management difficulty is high, and the actual energy consumption management requirement cannot be met.
Disclosure of Invention
The invention provides a method, a device, equipment and a medium for managing the energy of a business tenant, which can realize the management of the energy of the tenant based on the identification of the type of the energy of the tenant, effectively improve the accuracy and the reliability of the management of the energy of the tenant and reduce the difficulty of the management of the energy of the tenant.
According to an aspect of the present invention, there is provided a method of energy management for a business tenant, the method comprising:
Acquiring target energy consumption data of a target tenant, and determining target energy consumption information of the target tenant according to the target energy consumption data; the target energy consumption information is used for describing the change characteristics of the target energy consumption data along with time;
determining the target energy consumption type of the target tenant according to the target energy consumption information and the energy consumption knowledge base; the energy consumption knowledge base is used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant, and the target energy consumption type is used for describing the business state characteristics of the target tenant;
and performing energy management on the target tenant according to the target energy type.
According to another aspect of the present invention, there is provided an energy management apparatus for a business tenant, comprising:
the target energy consumption information determining module is used for acquiring target energy consumption data of a target tenant and determining target energy consumption information of the target tenant according to the target energy consumption data; the target energy consumption information is used for describing the change characteristics of the target energy consumption data along with time;
the target energy utilization type determining module is used for determining the target energy utilization type of the target tenant according to the target energy utilization information and the energy utilization knowledge base; the energy consumption knowledge base is used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant, and the target energy consumption type is used for describing the business state characteristics of the target tenant;
And the target tenant energy management module is used for managing the energy of the target tenant according to the target energy type.
According to another aspect of the present invention, there is provided an energy management electronic device for a business tenant, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of energy management of a business tenant according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the method of energy management of a business tenant according to any one of the embodiments of the present invention when executed.
According to the technical scheme, target energy consumption data of a target tenant are obtained, and target energy consumption information of the target tenant is determined according to the target energy consumption data; the target energy consumption information is used for describing the change characteristics of the target energy consumption data along with time; determining the target energy consumption type of the target tenant according to the target energy consumption information and the energy consumption knowledge base; the energy consumption knowledge base is used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant, and the target energy consumption type is used for describing the business state characteristics of the target tenant; and performing energy management on the target tenant according to the target energy type. According to the technical scheme, the tenant energy management can be realized based on tenant energy type identification, the accuracy and reliability of tenant energy management are effectively improved, and meanwhile, the difficulty of tenant energy management is reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of energy management for a business tenant provided in accordance with a first embodiment of the present invention;
FIG. 2 is a schematic diagram of determining a target energy usage type according to a first embodiment of the present invention;
FIG. 3 is a flow chart of a method of energy management for a business tenant provided in accordance with a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an energy management device for a commercial tenant according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device implementing a method for managing energy of a business tenant according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," "target," and the like in the description and claims of the present invention and in the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for managing energy of a business tenant according to an embodiment of the present invention, where the method may be performed by an energy management device of a business tenant, the energy management device of the business tenant may be implemented in hardware and/or software, and the energy management device of the business tenant may be configured in an electronic device with data processing capability. As shown in fig. 1, the method includes:
s110, acquiring target energy consumption data of a target tenant, and determining target energy consumption information of the target tenant according to the target energy consumption data; the target energy information is used for describing the change characteristics of the target energy consumption data along with time.
Wherein, the target tenant may refer to a business tenant waiting to be detected. The target energy consumption data may refer to energy consumption data of the target tenant, and may be used to reflect an electrical characteristic of the target tenant. Specifically, the target energy consumption data may be energy consumption data of different moments recorded in time sequence. For example, the time interval of adjacent target energy consumption data may be set to 15 minutes. The target energy information can be used for describing the change characteristics of the target energy consumption data along with time, and can reflect the actual energy characteristics of the target tenant to the greatest extent.
In this embodiment, first, target energy information of a target tenant is determined according to the obtained target energy consumption data of the target tenant. Optionally, determining the target energy information of the target tenant according to the target energy consumption data includes: determining daily energy consumption information of a target tenant in a preset day according to the target energy consumption data; determining standard energy utilization information of a target tenant according to the median of target energy consumption data in daily energy utilization information at the same moment; and determining the target energy information of the target tenant according to the similarity between the daily energy information and the standard energy information.
The preset number of days may be a preset reference number of days, and may be set according to actual requirements. For example, the preset number of days may be one week, 20 days, one month, or the like. Daily energy information may refer to daily energy information of a target tenant, and may be used to describe a change characteristic of target energy consumption data over time in a day. The standard energy information may be used as a basis for determining the target energy information.
In this embodiment, the obtained target energy consumption data is first grouped by taking a day as a unit, so as to obtain target energy consumption data of each day of the target tenant, and the target energy consumption data is used as a daily energy consumption target sample. And then according to the corresponding relation between the daily energy consumption target sample and time of the preset days, determining daily energy consumption information of the target tenant in the preset days, normalizing the target energy consumption data in the daily energy consumption information, and processing the target energy consumption data into data between 0 and 1. And further, the median is obtained for the target energy consumption data corresponding to the daily energy consumption information subjected to normalization processing in the preset days at the same time, and the standard energy consumption information of the target tenant is determined according to the median. And finally, calculating the similarity between the daily energy information and the standard energy information, and determining the daily energy information corresponding to the highest similarity as the target energy information of the target tenant. Therefore, the energy consumption characteristics of the target tenant in the preset days can be reflected to the greatest extent only through the target energy consumption data in the time of day. In this embodiment, the method for calculating the similarity is not limited, and may be set according to actual requirements. For example, the similarity may be calculated based on the Frechet distance, by calculating the Frechet distance between the daily energy information and the standard energy information, and taking the daily energy information with the minimum Frechet distance as the target energy information of the target tenant.
For example, assuming that the time interval of the adjacent target energy consumption data is 15 minutes and the preset number of days is 20 days, 20 daily energy consumption target samples can be obtained through data grouping, and each daily energy consumption target sample contains 96 target energy consumption data. According to the corresponding relation between each daily energy consumption target sample and time within 20 days, 20 groups of daily energy consumption information can be determined. For 20 sets of daily energy information, the target energy consumption data at the same time is respectively median calculated, so that standard energy information containing 96 median can be obtained. And respectively calculating the Frechet distances between 20 groups of daily energy information and standard energy information, wherein the daily energy information corresponding to the minimum Frechet distance can be determined as target energy information of a target tenant.
According to the scheme, through the arrangement, the target energy information of the target tenant can be rapidly and accurately determined according to the similarity between the daily energy information and the standard energy information.
S120, determining the target energy utilization type of the target tenant according to the target energy utilization information and the energy utilization knowledge base; the energy consumption knowledge base is used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant, and the target energy consumption type is used for describing the business state characteristics of the target tenant.
The energy consumption knowledge base can be used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant. Specifically, the energy consumption knowledge base is a database obtained by statistical analysis based on energy consumption data of a large number of tenants with different business types. For example, the business type of tenant may include clothing (child, man, or woman, etc.), dining (fast food, hot pot, or coffee, etc.), or syndication, etc. The target energy type may be used to describe the property characteristics of the target tenant, i.e., characterize the property type of the target tenant.
In this embodiment, in order to determine the target energy type of the target tenant, an energy consumption knowledge base needs to be established in advance. Optionally, the establishing process of the energy consumption knowledge base comprises the following steps: acquiring historical energy consumption data of a historical tenant, performing data quality inspection on the historical energy consumption data, and adding an abnormal identifier to the historical energy consumption data which does not pass the data quality inspection; determining historical energy utilization information of a historical tenant according to the historical energy consumption data which does not carry the abnormal identification; the historical energy consumption information is used for describing the change condition of historical energy consumption data along with time; classifying the historical tenants according to the attribute information of the historical tenants, and determining the historical energy types of the historical tenants according to classification results; the historical energy utilization type is used for describing the business state characteristics of the historical tenant; determining typical energy information corresponding to the historical energy type according to the historical energy information corresponding to the historical energy type; the typical energy utilization information is used for describing the change characteristics of the historical energy consumption data corresponding to the historical energy utilization type along with time; and establishing an energy consumption knowledge base according to the mapping relation between the historical energy consumption type and the typical energy consumption information.
The historical tenants can be used as reference tenants for building the energy knowledge base. In particular, the historic tenants can have different business types. The historical energy consumption data may refer to energy consumption data of a historical tenant, and may be used to reflect electrical characteristics of the historical tenant. The historical energy usage information may be used to describe the change in historical energy consumption data over time. The attribute information may be used as a basis for classifying the historical tenants, for example, the attribute information may include a tenant name and a tenant property type. The historical energy usage type may be used to describe the business state characteristics of the historical tenant, i.e., characterize the business state type of the historical tenant. Typical energy usage information may be used to describe the time-dependent characteristics of the historical energy consumption data corresponding to the historical energy usage types, i.e., to reflect the energy usage characteristics corresponding to each energy usage type to the greatest extent.
In this embodiment, when the energy consumption knowledge base is established, first, the historical energy consumption data of the historical tenant is obtained, and the data quality inspection is performed on the historical energy consumption data, so as to determine whether the historical energy consumption data is abnormal. If the historical energy consumption data is abnormal (the data quality inspection is not passed), adding an abnormal identifier to the historical energy consumption data with the abnormality; if there is no abnormality in the historical energy consumption data (passing the data quality check), no identification is added to the historical energy consumption data. It should be noted that, the data quality inspection method in this embodiment is not limited at all, and may be set according to actual requirements. For example, the data quality check may be performed using a preset rule, a 3 sigma criterion, or a box plot method. For example, the preset rule may be set such that a single point value less than 0 or greater than 10000 is abnormal and a non-zero value lasts for 2 hours as abnormal. In the 3σ criterion, assuming that the data distribution is a normal distribution, the values of one normal distribution data set are almost all concentrated in the (μ -3σ, μ+3σ) interval, where σ is the standard deviation, μ is the mean value, and the probability of exceeding this interval range is only less than 0.3%, so that data points located outside this interval range can be determined as abnormal. In the box-plot method, the data distribution is not limited to satisfy the normal distribution, and a data point larger than q3+1.5IQR or smaller than Q1-1.5IQR may be set as an outlier, where Q3 represents the third quartile, Q1 represents the first quartile, and IQR represents the third quartile minus the first quartile, i.e., iqr=q3-Q1. After the data quality inspection is completed, the historical energy consumption information of the historical tenant can be determined according to the corresponding relation between the historical energy consumption data which does not carry the abnormal identification and the time. The determining process of the historical energy information may refer to the determining process of the target energy information, which is not described herein. In order to ensure the accuracy of the historical energy consumption information, in the process of determining the historical energy consumption information, data screening can be performed on a daily energy consumption historical sample (daily historical energy consumption data of a historical tenant) obtained after data grouping, so that interference of abnormal data is avoided. Specifically, if a data point carrying an abnormal mark exists in the daily energy consumption historical sample, the daily energy consumption historical sample is removed. And if the daily energy consumption history samples of a certain historical tenant are less than 10, rejecting the tenant.
And then acquiring attribute information of the historical tenant, classifying the historical tenant according to the tenant type dictionary and the attribute information, and determining the historical energy utilization type of the historical tenant according to the classification result. The tenant type dictionary provides unified standards for historical tenant classification, and common tenants can be classified uniformly according to services. Specifically, the tenant type dictionary may include two levels of classification, the first level being a primary classification, for example: clothing, dining, synthesis, etc.; the second category is sub-categories, such as: fast food restaurants, hot pot restaurants, coffee shops, child clothing shops, women's clothing shops, and the like.
After the historical energy types of the historical tenants are determined, typical energy information corresponding to the historical energy types can be determined according to the historical energy information corresponding to the historical energy types. Optionally, determining typical energy information corresponding to the historical energy type according to the historical energy information corresponding to the historical energy type includes: determining whether the historical energy information in the historical energy type meets a preset screening condition or not; the preset screening conditions are determined according to the use area of the historical tenant and daily historical energy consumption; if yes, determining reference energy information corresponding to the historical energy type according to the median of the historical energy consumption data corresponding to the historical energy type at the same moment; and determining typical energy information corresponding to the historical energy type according to the similarity between the historical energy information corresponding to the historical energy type and the reference energy information.
The preset screening conditions may be preset data screening conditions, and specifically may be determined according to a usage area of a historical tenant and daily historical energy consumption. For example, the preset screening condition may be set such that the usage area of the history tenant and the daily history energy are both located in a range of up and down quarters. The reference energy information may be used as a basis for determining typical energy information.
In this embodiment, first, data screening is performed on the historical energy information in each historical energy type, and whether the historical energy information meets a preset screening condition is determined. For example, if the usage area of the historical tenant and the daily historical energy are both located in the interval range of the upper quarter and the lower quarter, the historical energy information of the historical tenant can be considered to meet the preset screening condition, otherwise, the historical energy information of the historical tenant does not meet the preset screening condition. And then, carrying out normalization processing on the historical energy data in each piece of historical energy information meeting the preset screening condition, and processing the historical energy data into data between 0 and 1. And further, according to the median of the normalized historical energy consumption data corresponding to the historical energy consumption type at the same moment, determining the reference energy consumption information corresponding to the historical energy consumption type. The determining process of the reference energy information may refer to the determining process of the reference energy information, which is not described herein. And finally, determining the similarity between the historical energy information corresponding to the historical energy type and the reference energy information, and determining the historical energy information corresponding to the maximum similarity as typical energy information corresponding to the historical energy type.
For example, the similarity may be calculated based on the Frechet distance, by calculating the Frechet distance between the historical energy information and the reference energy information, and using the historical energy information having the smallest Frechet distance as the typical energy information corresponding to the historical energy type. After the typical energy information is determined, an energy consumption knowledge base can be established according to the mapping relation between the historical energy type and the typical energy information. Specifically, in the Frechet distance-based similarity algorithm, for two curves a (t) and B (t) that vary with time, the minimum distance between a (t) and B (t) at each moment is calculated, and a (t) and B (t) can only go forward and cannot go backward with time. The maximum distance among these minimum distances is then calculated, which can also be interpreted as being different at different track rates, in order to make this maximum distance as small as possible. It should be noted that, when the curve waveform translates, the Frechet distance increases rapidly, and the corresponding similarity value decreases rapidly, so that the error of calculating the similarity by using the Frechet distance is larger. In order to overcome the above problem, the calculation of the Frechet distance can be optimized, wherein the optimization method is to roll one curve from time point to time point, recalculate the Frechet distance and the similarity once every time, and take the maximum similarity in the calculation process. By the optimization method, accuracy and reliability of similarity calculation can be effectively improved.
By means of the arrangement, the energy consumption knowledge base is built based on the historical energy consumption data of a large number of historical tenants with different business types, and accurate and effective reference basis can be provided for the follow-up determination of the target energy consumption type of the target tenant.
In this embodiment, optionally, determining the target energy type of the target tenant according to the target energy information and the energy knowledge base includes: and determining the similarity of the target energy information and each candidate energy information in the energy knowledge base, and determining the target energy type of the target tenant according to the similarity result.
The candidate energy information may refer to any typical energy information in the energy knowledge base. In this embodiment, the target energy type of the target tenant may be determined based on the similarity calculation. Specifically, firstly, calculating the similarity between the target energy information and each candidate energy information in the energy use knowledge base, arranging the similarities in the order from large to small, and taking the previous preset number of similarities as candidate similarities. The preset number can be set according to actual requirements. And then judging whether the candidate similarity is larger than or equal to a preset similarity threshold value. If so, determining a historical energy type with a mapping relation with the candidate energy information according to the candidate energy information corresponding to the candidate similarity, and determining the historical energy type as a target energy type of a target tenant; otherwise, eliminating the candidate similarity smaller than the preset similarity threshold, determining a historical energy type with a mapping relation with the candidate energy information according to the candidate energy information corresponding to the residual candidate similarity, and determining the historical energy type as a target energy type of the target tenant.
According to the scheme, through the setting, the target energy utilization type of the target tenant can be rapidly and accurately determined through similarity calculation, so that the energy utilization management of the target tenant can be conducted according to the target energy utilization type.
Fig. 2 is a schematic diagram of determining a target energy type according to a first embodiment of the present invention. As shown in fig. 2, the left column is historical energy information of historical tenants belonging to fast food restaurants in the energy knowledge base, wherein the historical tenants include Ji Ye, kender and mcdonald; the middle column is typical energy information corresponding to each historical energy type in the energy knowledge base, wherein the historical energy types comprise coffee shops, fast food restaurants, western-style restaurants and hot pot restaurants; the hamburger king in the right side is the target tenant. Taking a fast food restaurant as an example, the historical energy types can be used for obtaining typical energy information corresponding to the fast food restaurant according to the historical energy information of the three historical tenants, so that the corresponding relation between the fast food restaurant and the typical energy information thereof is established. Similarly, the corresponding relation of the information of the coffee shop, the western-style food shop and the hot pot shop and the typical energy consumption can be respectively established to establish an energy consumption knowledge base. Aiming at the target tenant hamburger, the similarity between the target energy information of the hamburger and each candidate energy information in the energy use knowledge base is calculated, and the similarity between the hamburger and a coffee shop, a fast food restaurant, a western-style food restaurant and a hot pot restaurant can be obtained to be 0.76, 0.91, 0.35 and 0.22 respectively. If the preset number is 2 and the preset similarity threshold is 0.7, the target energy type of the hamburger king can be determined to be a fast food restaurant or a coffee shop.
S130, performing energy utilization management on the target tenant according to the target energy utilization type.
In this embodiment, optionally, performing energy management on the target tenant according to the target energy type includes: matching the actual energy type of the target tenant with the target energy type; and determining the current energy utilization state of the target tenant according to the matching result, so as to manage the energy utilization of the target tenant according to the current energy utilization state.
In this embodiment, after determining the target energy type of the target tenant, the actual energy type of the target tenant may be matched with the target energy type. If the actual energy type exists in the target energy type, the matching is successful, and the current energy state of the target tenant is normal; and if the actual energy type does not exist in the target energy type, indicating that the matching is failed, wherein the current energy state of the target tenant is abnormal. When the current energy utilization state of the target tenant is abnormal, the situation that the target user possibly has electricity stealing and leakage or power distribution misconnection is indicated, and at the moment, the reason of the abnormal energy utilization of the target tenant is required to be checked, or an energy saving and emission reduction suggestion is provided for the target tenant according to the target energy utilization information, so that the energy utilization management of the target tenant is realized. Taking fig. 2 as an example, the target energy type for obtaining the hamburger king is identified as a fast food restaurant or a coffee shop, and the actual energy type of the hamburger king is identified as a fast food restaurant. Because the actual energy type exists in the target energy type, the successful matching can be determined, and the current energy state of the hamburger king is normal.
According to the scheme, through the arrangement, the target tenant energy can be accurately and efficiently managed according to the target energy type, and the accuracy and reliability of tenant energy management are improved.
According to the technical scheme, target energy consumption data of a target tenant are obtained, and target energy consumption information of the target tenant is determined according to the target energy consumption data; the target energy consumption information is used for describing the change characteristics of the target energy consumption data along with time; determining the target energy consumption type of the target tenant according to the target energy consumption information and the energy consumption knowledge base; the energy consumption knowledge base is used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant, and the target energy consumption type is used for describing the business state characteristics of the target tenant; and performing energy management on the target tenant according to the target energy type. According to the technical scheme, the tenant energy management can be realized based on tenant energy type identification, the accuracy and reliability of tenant energy management are effectively improved, and meanwhile, the difficulty of tenant energy management is reduced.
In this embodiment, optionally, before determining the target energy consumption information of the target tenant according to the target energy consumption data, the method further includes: performing data quality inspection on the target energy consumption data, and adding an abnormal identifier to the target energy consumption data which does not pass the data quality inspection; correspondingly, determining the target energy information of the target tenant according to the target energy consumption data comprises the following steps: and determining target energy consumption information of the target tenant according to the target energy consumption data which does not carry the abnormal identification.
In this embodiment, in order to improve accuracy of the target energy consumption information, before determining the target energy consumption information of the target tenant according to the target energy consumption information energy consumption data, data quality inspection may be performed on the target energy consumption data to determine whether there is an abnormality in the target energy consumption data. If the target energy consumption data is abnormal (fails the data quality inspection), the abnormal identification is added to the target energy consumption data with the abnormality, so that the target energy consumption information of the target tenant can be determined according to the target energy consumption data without the abnormal identification. The data quality inspection method of the target energy consumption data can refer to the data quality inspection process of the historical energy consumption data, and is not repeated here.
Through the arrangement, abnormal data can be removed rapidly through data quality inspection of the target energy consumption data, abnormal data interference is avoided, and therefore accuracy of target energy consumption information is improved.
Example two
Fig. 3 is a flowchart of a method for managing energy of a business tenant according to a second embodiment of the present invention, where the method is optimized based on the foregoing embodiment.
As shown in fig. 3, the method of this embodiment specifically includes the following steps:
S210, acquiring historical energy consumption data of a historical tenant, performing data quality inspection on the historical energy consumption data, and adding an abnormal identifier to the historical energy consumption data which does not pass the data quality inspection.
S220, determining the historical energy consumption information of the historical tenant according to the historical energy consumption data which does not carry the abnormal identification.
The historical energy consumption information is used for describing the change condition of historical energy consumption data along with time.
S230, classifying the historical tenants according to the attribute information of the historical tenants, and determining the historical energy types of the historical tenants according to the classification result.
The historical energy utilization type is used for describing the business state characteristics of the historical tenant.
S240, determining typical energy information corresponding to the historical energy type according to the historical energy information corresponding to the historical energy type.
The typical energy utilization information is used for describing the change characteristics of the historical energy consumption data corresponding to the historical energy utilization type along with time.
S250, establishing a power consumption knowledge base according to the mapping relation between the historical power consumption type and the typical power consumption information.
S260, acquiring target energy consumption data of the target tenant, performing data quality inspection on the target energy consumption data, and adding an abnormal identifier to the target energy consumption data which does not pass the data quality inspection.
S270, determining target energy utilization information of the target tenant according to the target energy consumption data which does not carry the abnormal identification.
The target energy consumption information is used for describing the change characteristics of the target energy consumption data along with time.
S280, determining the similarity between the target energy information and each candidate energy information in the energy knowledge base, and determining the target energy type of the target tenant according to the similarity result.
S290, performing energy utilization management on the target tenant according to the target energy utilization type.
According to the technical scheme, the tenant energy management can be realized based on tenant energy type identification, the accuracy and reliability of tenant energy management are effectively improved, and meanwhile, the difficulty of tenant energy management is reduced.
Example III
Fig. 4 is a schematic structural diagram of a device for managing energy of a business tenant, which is provided in the third embodiment of the present invention, and the device can execute the method for managing energy of a business tenant, which is provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 4, the apparatus includes:
the target energy information determining module 310 is configured to obtain target energy consumption data of a target tenant, and determine target energy information of the target tenant according to the target energy consumption data; the target energy consumption information is used for describing the change characteristics of the target energy consumption data along with time;
A target energy usage type determining module 320, configured to determine a target energy usage type of the target tenant according to the target energy usage information and an energy usage knowledge base; the energy consumption knowledge base is used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant, and the target energy consumption type is used for describing the business state characteristics of the target tenant;
and the target tenant energy management module 330 is configured to manage energy of the target tenant according to the target energy type.
Optionally, the target energy information determining module 310 is configured to:
determining daily energy consumption information of the target tenant in a preset day according to the target energy consumption data;
determining standard energy consumption information of the target tenant according to the median of the target energy consumption data in the daily energy consumption information at the same moment;
and determining the target energy information of the target tenant according to the similarity between the daily energy information and the standard energy information.
Optionally, the apparatus further includes:
the historical data quality inspection module is used for acquiring historical energy consumption data of a historical tenant, performing data quality inspection on the historical energy consumption data, and adding an abnormal identifier to the historical energy consumption data which does not pass the data quality inspection;
The historical energy consumption information determining module is used for determining the historical energy consumption information of the historical tenant according to the historical energy consumption data which does not carry the abnormal identifier; the historical energy consumption information is used for describing the change condition of the historical energy consumption data along with time;
the historical energy utilization type determining module is used for classifying the historical tenants according to the attribute information of the historical tenants and determining the historical energy utilization types of the historical tenants according to classification results; the history energy type is used for describing the business state characteristics of the history tenant;
the typical energy utilization information determining module is used for determining typical energy utilization information corresponding to the historical energy utilization type according to the historical energy utilization information corresponding to the historical energy utilization type; the typical energy utilization information is used for describing the change characteristics of the historical energy consumption data corresponding to the historical energy utilization type along with time;
and the energy utilization knowledge base building module is used for building an energy utilization knowledge base according to the mapping relation between the historical energy utilization type and the typical energy utilization information.
Optionally, the typical energy information determining module is configured to:
determining whether the historical energy information in the historical energy type meets a preset screening condition or not; the preset screening conditions are determined according to the use area of the historical tenant and daily historical energy consumption;
If yes, determining the reference energy information corresponding to the historical energy type according to the median of the historical energy consumption data corresponding to the historical energy type at the same moment;
and determining typical energy information corresponding to the historical energy type according to the similarity between the historical energy information corresponding to the historical energy type and the reference energy information.
Optionally, the target energy usage type determining module 320 is configured to:
and determining the similarity of the target energy information and each candidate energy information in the energy utilization knowledge base, and determining the target energy type of the target tenant according to a similarity result.
Optionally, the target tenant energy management module 330 is configured to:
matching the actual energy type of the target tenant with the target energy type;
and determining the current energy utilization state of the target tenant according to the matching result, so as to manage the energy utilization of the target tenant according to the current energy utilization state.
Optionally, the apparatus further includes:
the target data quality inspection module is used for performing data quality inspection on the target energy consumption data before determining target energy consumption information of the target tenant according to the target energy consumption data, and adding an abnormal identifier to the target energy consumption data which does not pass the data quality inspection;
Accordingly, the target energy information determining module 310 is configured to:
and determining target energy utilization information of the target tenant according to the target energy consumption data which does not carry the abnormal identifier.
The energy management device of the commercial tenant provided by the embodiment of the invention can execute the energy management method of the commercial tenant provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 5 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the business tenant's energy management method.
In some embodiments, the method of energy management for a business tenant may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the business tenant's energy management method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the business tenant's method of energy management in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems-on-chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of energy management for a business tenant, the method comprising:
acquiring target energy consumption data of a target tenant, and determining target energy consumption information of the target tenant according to the target energy consumption data; the target energy consumption information is used for describing the change characteristics of the target energy consumption data along with time;
determining the target energy consumption type of the target tenant according to the target energy consumption information and the energy consumption knowledge base; the energy consumption knowledge base is used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant, and the target energy consumption type is used for describing the business state characteristics of the target tenant;
And performing energy management on the target tenant according to the target energy type.
2. The method of claim 1, wherein determining target energy usage information for the target tenant from the target energy consumption data comprises:
determining daily energy consumption information of the target tenant in a preset day according to the target energy consumption data;
determining standard energy consumption information of the target tenant according to the median of the target energy consumption data in the daily energy consumption information at the same moment;
and determining the target energy information of the target tenant according to the similarity between the daily energy information and the standard energy information.
3. The method of claim 1, wherein the process of establishing the energy consumption knowledge base comprises:
acquiring historical energy consumption data of a historical tenant, performing data quality inspection on the historical energy consumption data, and adding an abnormal identifier to the historical energy consumption data which does not pass the data quality inspection;
determining historical energy consumption information of the historical tenant according to the historical energy consumption data which does not carry the abnormal identifier; the historical energy consumption information is used for describing the change condition of the historical energy consumption data along with time;
Classifying the historical tenants according to the attribute information of the historical tenants, and determining the historical energy utilization type of the historical tenants according to classification results; the history energy type is used for describing the business state characteristics of the history tenant;
determining typical energy utilization information corresponding to the historical energy utilization type according to the historical energy utilization information corresponding to the historical energy utilization type; the typical energy utilization information is used for describing the change characteristics of the historical energy consumption data corresponding to the historical energy utilization type along with time;
and establishing an energy consumption knowledge base according to the mapping relation between the historical energy consumption type and the typical energy consumption information.
4. The method of claim 3, wherein determining typical usage information corresponding to the historical usage type from the historical usage information corresponding to the historical usage type comprises:
determining whether the historical energy information in the historical energy type meets a preset screening condition or not; the preset screening conditions are determined according to the use area of the historical tenant and daily historical energy consumption;
if yes, determining the reference energy information corresponding to the historical energy type according to the median of the historical energy consumption data corresponding to the historical energy type at the same moment;
And determining typical energy information corresponding to the historical energy type according to the similarity between the historical energy information corresponding to the historical energy type and the reference energy information.
5. The method of claim 1, wherein determining the target energy type of the target tenant from the target energy information and energy knowledge base comprises:
and determining the similarity of the target energy information and each candidate energy information in the energy utilization knowledge base, and determining the target energy type of the target tenant according to a similarity result.
6. The method of claim 1, wherein performing energy management on the target tenant according to the target energy usage type comprises:
matching the actual energy type of the target tenant with the target energy type;
and determining the current energy utilization state of the target tenant according to the matching result, so as to manage the energy utilization of the target tenant according to the current energy utilization state.
7. The method of claim 1, wherein prior to determining target energy usage information for the target tenant from the target energy consumption data, the method further comprises:
performing data quality inspection on the target energy consumption data, and adding an abnormal identifier to the target energy consumption data which does not pass the data quality inspection;
Correspondingly, determining the target energy information of the target tenant according to the target energy consumption data comprises the following steps:
and determining target energy utilization information of the target tenant according to the target energy consumption data which does not carry the abnormal identifier.
8. An energy management apparatus for a business tenant, the apparatus comprising:
the target energy consumption information determining module is used for acquiring target energy consumption data of a target tenant and determining target energy consumption information of the target tenant according to the target energy consumption data; the target energy consumption information is used for describing the change characteristics of the target energy consumption data along with time;
the target energy utilization type determining module is used for determining the target energy utilization type of the target tenant according to the target energy utilization information and the energy utilization knowledge base; the energy consumption knowledge base is used for describing the mapping relation between the energy consumption type and the energy consumption information of the tenant, and the target energy consumption type is used for describing the business state characteristics of the target tenant;
and the target tenant energy management module is used for managing the energy of the target tenant according to the target energy type.
9. An energy management electronic device for a business tenant, the electronic device comprising:
At least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of energy management of a business tenant of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to implement the method of energy management of a business tenant of any one of claims 1-7 when executed.
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