CN112487046A - Power utilization information analysis method, device, system, computer equipment and storage medium - Google Patents
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Abstract
The embodiment of the application relates to a power utilization information analysis method, a power utilization information analysis device, a power utilization information analysis system, computer equipment and a storage medium. The method comprises the following steps: the server determines the historical electricity consumption and the current month electricity consumption of a tenant from a database by receiving a first electricity consumption information acquisition request sent by an owner client according to the electricity meter identification and the access time of the tenant carried in the request, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain predicted electricity consumption; generating a first electricity analysis report according to the predicted electricity consumption, the historical electricity consumption and the current month electricity consumption of the tenant, and then sending the first electricity analysis report to the owner client; the server can assist the owner in analyzing and predicting the electricity utilization condition of the tenant, and generates an electricity utilization analysis report, so that the owner can master other electricity utilization information except the electricity consumption of the tenant in each month, and convenience and accuracy of the owner in acquiring the electricity utilization information of the tenant are improved.
Description
Technical Field
The present application relates to the field of data analysis technologies, and in particular, to a method, an apparatus, a system, a computer device, and a storage medium for analyzing power consumption information.
Background
At present, with the development of society, more and more office buildings are provided in cities, a plurality of enterprises generally rent a certain floor in the office building as an office area of the enterprise in a renting manner, and managers (such as property) of the office building need to regularly count respective electricity consumption conditions of tenants of the enterprises in the office building.
The traditional mode of counting the electricity consumption is generally a mode of manually reading the meter through property, the current meter code value of the electricity meter is recorded, and the electricity consumption of each tenant is calculated according to the last recorded meter code value.
However, the manual meter reading method adopting the conventional technology is inefficient in obtaining electricity consumption of the tenant, and the obtained electricity consumption information of the tenant is deficient.
Disclosure of Invention
In view of the above, it is necessary to provide a power consumption information analysis method, a device, a system computer device, and a storage medium capable of effectively acquiring power consumption information of tenants in view of the above technical problems.
In a first aspect, a power utilization information analysis method is provided and applied to a server in a power utilization interaction system; the method comprises the following steps:
the method comprises the steps that a server receives a first power consumption information acquisition request sent by an owner client, wherein the first power consumption information acquisition request comprises an ammeter identification of a tenant accessed to a power consumption interactive system and access time of the tenant accessed to the power consumption interactive system;
the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from a database according to the electricity meter identification and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
and the server generates a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the current month power consumption of the tenant and then sends the first power consumption analysis report to the owner client.
In one embodiment, the server determines the historical power consumption of the tenant and the current month power consumption of the tenant from the database according to the electric meter identification and the access time, and includes: the server determines a target electric meter corresponding to the electric meter identification from the database according to the electric meter identification; the server acquires the monthly electricity consumption collected by the target electricity meter from the target electricity meter, and acquires the historical electricity consumption of the last month from the access time from the target electricity meter according to the access time.
In one embodiment, before the server receives the first power consumption information acquisition request sent by the owner client, the method further includes: the server receives power utilization information sent by power acquisition equipment in the power utilization interaction system through the concentrator; the electricity utilization information comprises electricity utilization quantity collected by a plurality of electricity meters and current and voltage information of each electricity meter.
In one embodiment, the method further comprises: the server calculates the maximum electricity utilization threshold value of each electric meter according to the current and voltage information of each electric meter; the server sends electricity utilization warning information to the owner client under the condition that the electricity consumption collected by the electricity meter is greater than the maximum electricity utilization threshold; the electricity utilization warning information is used for prompting the owner that the electricity quantity collected by the electricity meter is abnormal; and the server stores the electricity consumption collected by the ammeter to the database under the condition that the electricity consumption collected by the ammeter is not greater than the maximum electricity consumption threshold.
In one embodiment, the method further comprises: the server receives a second electricity information acquisition request sent by a tenant client, wherein the second electricity information acquisition request comprises an electricity meter identification of the tenant and access time for the tenant to access the electricity utilization interaction system; the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from the database according to the electricity meter identification of the tenant and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; and the server generates a second electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the current month electricity consumption of the tenant and then sends the second electricity analysis report to the tenant client.
In one embodiment, the method further comprises: the server receives the archive information of each tenant and the electric meter account information corresponding to each tenant sent by the owner client; the profile information comprises the access time of the tenant to the electricity utilization interaction system, and the electric meter account information comprises electric meter identifications of all electric meters related to the tenant.
In one embodiment, the profile information further comprises at least one of the following information: the method comprises the following steps of (1) acquiring the name of a tenant, the electricity utilization type of the tenant, the industry type of the tenant, the electricity utilization mode of the tenant, the contract time of the tenant accessing the electricity utilization interaction system and the payment state information of the tenant; the electric meter standing book information further comprises at least one of the following information: the method comprises the steps of obtaining the electric meter name of a tenant, the electric meter type of the tenant, the electric meter state of the tenant, the electric meter attribution of the tenant and the electric meter position of the tenant.
In one embodiment, the method further comprises: acquiring the historical electricity consumption of each tenant in a preset historical time period; and adopting a time series prediction analysis algorithm to carry out model construction on the historical power consumption in the preset historical time period to obtain a power consumption trend characteristic model corresponding to each tenant.
In one embodiment, the method further comprises: a server receives a session request of a tenant, wherein the session request carries electricity demand information of the tenant; and the server sends the electricity demand information of the tenant to the owner client.
In a second aspect, a power consumption information analysis method is provided, which is applied to an owner client in a power consumption interaction system; the method comprises the following steps:
the method comprises the steps that an owner client sends a first power utilization information acquisition request to a server in the power utilization interaction system; the first electricity information acquisition request is used for indicating a server to determine the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant from a database according to the electricity meter identification and the access time, predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity utilization trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant, and indicating the server to generate a first electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants; the owner client receives the first power analysis report sent by the server.
In one embodiment, the method further comprises: the method comprises the steps that an owner client side obtains archive information of each tenant and ammeter ledger information corresponding to each tenant; the electric meter account information comprises electric meter identifications of all electric meters related to the tenant; and the owner client sends the archive information of each tenant and the electric meter account book information corresponding to each tenant to the server.
In one embodiment, the method further comprises: the business owner client receives the session request of the tenant forwarded by the server; the session request carries the electricity demand information of the tenant.
In a third aspect, an electricity consumption interaction system is provided, where the electricity consumption interaction system includes a tenant client, an owner client, a server, and an electricity collection device, where the electricity collection device includes an electricity meter and a concentrator that are electrically connected to each other, and the concentrator, the tenant client, and the owner client are respectively in communication connection with the server; the server is configured to execute any one of the electricity consumption information analysis methods of the first aspect, and the owner client is configured to execute any one of the electricity consumption information analysis methods of the second aspect.
In a fourth aspect, there is provided a power consumption information analysis apparatus, including:
the first receiving module is used for receiving a first power consumption information acquisition request sent by an owner client, wherein the first power consumption information acquisition request comprises an electric meter identification of a tenant accessed to the power consumption interactive system and access time of the tenant accessed to the power consumption interactive system;
the determining module is used for determining the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from a database according to the electricity meter identification and the access time;
the prediction module is used for predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
the first generation module is used for generating a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the monthly power consumption of the tenant;
and the sending module is used for sending the first electricity analysis report to the owner client.
In a fifth aspect, there is provided a power consumption information analysis apparatus, including:
the sending module is used for sending a first power utilization information obtaining request to a server in the power utilization interaction system; the first electricity information acquisition request is used for indicating a server to determine the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant from a database according to the electricity meter identification and the access time, predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity utilization trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant, and indicating the server to generate a first electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
and the receiving module is used for receiving the first power analysis report sent by the server.
In a sixth aspect, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program:
the method comprises the steps that a server receives a first power consumption information acquisition request sent by an owner client, wherein the first power consumption information acquisition request comprises an ammeter identification of a tenant accessed to a power consumption interactive system and access time of the tenant accessed to the power consumption interactive system;
the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from a database according to the electricity meter identification and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
and the server generates a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the current month power consumption of the tenant and then sends the first power consumption analysis report to the owner client.
In a seventh aspect, a computer device is provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:
the method comprises the steps that an owner client sends a first power utilization information acquisition request to a server in the power utilization interaction system; the first electricity information acquisition request is used for indicating a server to determine the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant from a database according to the electricity meter identification and the access time, predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity utilization trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant, and indicating the server to generate a first electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
the owner client receives the first power analysis report sent by the server.
In an eighth aspect, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
the method comprises the steps that a server receives a first power consumption information acquisition request sent by an owner client, wherein the first power consumption information acquisition request comprises an ammeter identification of a tenant accessed to a power consumption interactive system and access time of the tenant accessed to the power consumption interactive system;
the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from a database according to the electricity meter identification and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
and the server generates a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the current month power consumption of the tenant and then sends the first power consumption analysis report to the owner client.
In a ninth aspect, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
the method comprises the steps that an owner client sends a first power utilization information acquisition request to a server in the power utilization interaction system; the first electricity information acquisition request is used for indicating a server to determine the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant from a database according to the electricity meter identification and the access time, predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity utilization trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant, and indicating the server to generate a first electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
the owner client receives the first power analysis report sent by the server.
According to the electricity consumption information analysis method, the electricity consumption information analysis device, the electricity consumption information analysis system, the computer equipment and the storage medium, the server receives a first electricity consumption information acquisition request sent by the owner client, determines the historical electricity consumption of a tenant and the monthly electricity consumption of the tenant from a database according to the electricity meter identification and the access time of the tenant carried in the first electricity consumption information acquisition request, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; generating a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the monthly power consumption of the tenant, and then sending the first power consumption analysis report to the owner client; that is to say, the server can assist the owner to analyze the historical power consumption of the tenant who obtains under the owner, predict the power consumption in the future preset time period according to the historical power consumption, and generate the power consumption analysis report of the owner, so that the owner can master more power consumption information except the power consumption of the tenant in each month, and the convenience and the accuracy of the owner in obtaining the power consumption information of the tenant are improved. In addition, in this embodiment, the owner can acquire the historical power consumption and the current month power consumption of all the tenants under the flag through the server, and does not need to manually check the meter by the owner, so that the acquisition efficiency of the power consumption data of the tenants is greatly improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of an application environment of a power consumption information analysis method;
FIG. 2 is a schematic flow chart illustrating a method for analyzing power consumption information according to an embodiment;
FIG. 3 is a schematic flow chart showing a method for analyzing electricity consumption information according to another embodiment;
FIG. 4 is a schematic flow chart showing a method for analyzing electricity consumption information according to another embodiment;
FIG. 5 is a schematic flow chart showing a method for analyzing electricity consumption information according to another embodiment;
FIG. 6 is a flow chart illustrating a method for analyzing power consumption information according to an embodiment;
FIG. 7 is a block diagram showing the structure of a power consumption information analyzing apparatus according to an embodiment;
FIG. 8 is a block diagram showing the structure of a power consumption information analyzing apparatus according to an embodiment;
FIG. 9 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The electricity consumption information analysis method provided by the application can be applied to a user interaction system shown in fig. 1, and the system comprises a tenant client 101, an owner client 102, a server 103 and an electricity quantity collection device 104. The tenant client 101 may be software, or may be a device combining software and hardware, for example, a hardware device carrying and running the tenant client software. The owner client 102 may be software, or may be a device combining software and hardware, for example, a hardware device carrying and running the owner client software. The server 103 may be implemented by an independent server or a server cluster composed of a plurality of servers, and the server may be a cloud server or a background server. The power collection device 104 may include a concentrator 1041 and an electric meter 1042, wherein the concentrator 1041 and the electric meter 1042 may be electrically connected to transmit data.
In one embodiment, as shown in fig. 2, a power consumption information analysis method is provided, which is described by taking the application of the method to the server in fig. 1 as an example, and includes the following steps:
In this embodiment, the owner may be a large client who enters into a power supply contract with a power supply department, a national grid, and the like, and the owner may be a management enterprise of an office building or a management enterprise of a scientific and technological park. The owner may include a plurality of tenants that are able to enter into a power contract with the owner or into an office building or a technology park. The owner flag may include a plurality of electric meters, and after the tenant contracts with the owner, the owner may associate one electric meter or a plurality of electric meters for each tenant.
Specifically, this embodiment provides a tenant management system, where an owner may log in a tenant management system in an owner client through a login account of the owner, create an account of a tenant in the tenant management system for the tenant, configure, in the tenant management system, an electric meter identifier of an electric meter associated with the tenant for the tenant, and record access time of the tenant accessing the electric meter, where the access time is time when the tenant accesses the electricity utilization interaction system in this embodiment. In fact, as shown in fig. 1, since the power collecting device in the user interaction system includes the concentrator and the electric meter, the tenant accesses the electric meter as well as the tenant accesses the power utilization interaction system.
After configuring the electric meter identification and the access time for the tenant in the tenant management system, the owner can send a first electric information acquisition request to the server through the owner client according to own requirements, for example, the owner wants to know the electric consumption analysis report of all tenants under the flag, where the first electric information acquisition request includes the electric meter identification of the tenant and the access time for the tenant to access the electric consumption interaction system.
The server can determine the historical power consumption of the tenant and the current monthly power consumption of the tenant from the database according to the received power meter identification and access time in the first power consumption information acquisition request; optionally, the server may determine, according to the electric meter identifier, a target electric meter corresponding to the electric meter identifier from the database, obtain, from the target electric meter, the monthly power consumption collected by the target electric meter, and obtain, according to the access time, historical power consumption of the last month from the access time from the target electric meter. The content of the database in the server can be obtained by the server through communication with the electricity quantity acquisition equipment, namely, the electricity meters in the electricity quantity acquisition equipment are sent to the server through the concentrator after acquiring the electricity consumption of the tenants for associated storage of the electricity consumption and the tenants, and by the method, manual meter reading is avoided, and the efficiency of acquiring the electricity consumption data of the tenants is greatly improved.
Optionally, in a case that the first electricity information obtaining request carries the electricity meter identifiers of the electricity meters associated with the multiple tenants and the respective access times of the multiple tenants, the server may obtain the historical electricity consumption of each tenant and the current month electricity consumption of each tenant, and then the server may use the sum of the historical electricity consumptions of all the tenants as the historical electricity consumption of the owner, and may use the sum of the current month electricity consumptions of all the tenants as the current month electricity consumption of the owner.
Further, after obtaining the historical power consumption of the tenant and the current monthly power consumption of the tenant, the server may predict the power consumption of the tenant in a future preset time period according to a preset power consumption trend characteristic model and the historical power consumption of the tenant, so as to obtain the predicted power consumption of the tenant, for example: the server can predict the current month electricity consumption of the user according to the historical electricity consumption of the tenant, and can also predict the electricity consumption of the tenant in the next month or several months. Optionally, the preset power consumption trend characteristic model may be a power consumption trend characteristic model constructed by using a time series prediction analysis algorithm to obtain the acquired historical power consumption of the tenant, and in the process of constructing the model, some influence factors may be used to improve the accuracy of the model, for example: the influence factor can be the industry type or the holiday condition and the like; optionally, if the obtained historical power consumption includes a plurality of continuous months or a plurality of continuous days, the historical power consumption of a part of months in the historical power consumption of the tenant may also be selected as the sample data for constructing the power consumption trend characteristic model.
Optionally, after the power consumption trend characteristic model is constructed, the server may also calculate the accuracy of the power consumption trend characteristic model by comparing the current month power consumption of the tenant with the predicted power consumption. When the difference value between the current month electricity consumption and the predicted current month electricity consumption is smaller than a preset error, determining that the electricity consumption trend characteristic model of the tenant is accurate; when the difference value between the current electricity consumption and the predicted current electricity consumption is larger than or equal to the preset error, the electricity utilization trend characteristic model of the tenant is determined to be inaccurate, and the historical electricity consumption of the tenant and the actual current electricity consumption of the tenant can be used as sample data to optimize the electricity utilization trend characteristic model to obtain the optimized electricity utilization trend characteristic model.
In step 203, the server generates a first electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the current month electricity consumption of the tenant, and sends the first electricity analysis report to the owner client.
Specifically, after obtaining the predicted power consumption of the tenant, the server may generate a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant, and the current monthly power consumption of the tenant, and send the first power consumption analysis report to the owner client; optionally, basic information of the tenant (at least one of basic information related to the tenant, which may be a tenant name, an electric meter identifier of the tenant, an electricity type of the tenant, an access time of the tenant, and the like) may also be included in the first electricity analysis report, a comparison between the monthly electricity consumption and a numerical value of a predicted electricity consumption, electricity consumption conditions of the tenant during a peak period, a normal period, and a low valley period in a historical time, electricity consumption habits of the tenant analyzed according to the historical electricity consumption, electricity charge information corresponding to the electricity consumption used each month, and a recommendation for saving the electricity consumption obtained for the historical electricity consumption and the electricity consumption habits of the tenant, and the like.
In the electricity consumption information analysis method, a server receives a first electricity consumption information acquisition request sent by an owner client, determines the historical electricity consumption of a tenant and the current month electricity consumption of the tenant from a database according to the electricity meter identification and the access time of the tenant carried in the first electricity consumption information acquisition request, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; generating a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the monthly power consumption of the tenant, and then sending the first power consumption analysis report to the owner client; that is to say, the server can assist the owner to analyze the historical power consumption of the tenant who obtains under the owner, predict the power consumption in the future preset time period according to the historical power consumption, and generate the power consumption analysis report of the owner, so that the owner can master more power consumption information except the power consumption of the tenant in each month, and the convenience and the accuracy of the owner in obtaining the power consumption information of the tenant are improved. In addition, in this embodiment, the owner can acquire the historical power consumption and the current month power consumption of all the tenants under the flag through the server, and does not need to manually check the meter by the owner, so that the acquisition efficiency of the power consumption data of the tenants is greatly improved.
In one optional embodiment, as shown in fig. 1, the power consumption interaction system includes a power consumption collecting device, which may include a meter and a concentrator electrically connected to each other; before the server receives a first electricity consumption information acquisition request sent by the owner client, the server can also receive electricity consumption information sent by the electricity quantity acquisition equipment through the concentrator, wherein the electricity consumption information can comprise electricity consumption collected by a plurality of electricity meters and current and voltage information of each electricity meter.
Specifically, the communication between the server and the concentrator may be wireless communication or wired communication, and the communication method between the server and the concentrator is not limited in this embodiment. When the ammeter gathered the power consumption information of corresponding tenant, the ammeter can be through giving the concentrator with this power consumption transmission, and then sends power consumption information for the server through the concentrator. Optionally, the electricity consumption information may include electricity consumption collected by a plurality of electricity meters and current and voltage information of each electricity meter, where the electricity consumption collected by the plurality of electricity meters may include electricity consumption collected by different electricity meters associated with the same tenant, and may also include electricity consumption collected by different electricity meters associated with different tenants, and each electricity consumption is associated with an identifier of an electricity meter. That is, the electricity consumption information includes a plurality of electricity consumption amounts and current-voltage information, each of which corresponds to an electricity meter identifier.
Optionally, the electricity consumption information may further include meter code information of the electricity meter of the tenant (the electricity consumption collected by the electricity meter may be represented by the meter code information, for example, the server may obtain the electricity consumption collected by the electricity meter in one day by subtracting the meter code information collected in the previous day from the meter code information collected in the same day), abnormal alarm information, and the like; the acquisition frequency of current and voltage information in the electricity utilization information can be once every 15 minutes, the acquisition frequency of table code information can be once a day, and the acquisition of abnormal alarm information can be real-time acquisition; in addition, a heartbeat detection mechanism can be established between the server and the concentrator and/or between the concentrator and the electric meter, so that offline early warning of the electric meter can be supported; the storage period of the server for the electricity utilization information can be 60 months; the content, the collection frequency and the storage period of the power consumption information are not limited in the embodiment of the application.
Further, the server receives the power consumption information sent by the power collection device through the concentrator, optionally, a plurality of electric meters may be connected to the same concentrator, and the connection between each electric meter and the concentrator may be through a wired connection, for example: the electric meter can send the collected meter code information and the collected current and voltage information to the concentrator through the RS485 bus, and the concentrator receives the meter code information and the collected current and voltage information sent by the plurality of electric meters respectively and then sends the meter code information and the collected current and voltage information to the server in a centralized manner; the connection mode between the electric meter and the concentrator may be referred to as a topological connection relationship of the electric meter ledger, and in the case of many electric meters, the topological connection relationship may further include connection relationships between a plurality of concentrators and a plurality of electric meters, for example: the concentrator 1 can be connected with an ammeter 1-an ammeter 10, and the concentrator 2 can be connected with an ammeter 11-an ammeter 20 and the like; in the case of a change in the connection of the meter to the concentrator, for example: under the condition that the owner additionally adds the electric meters to be connected to the concentrator, the owner can manually adjust the topological connection relation in the electricity utilization interaction system and also can automatically adjust the topological connection relation according to the electricity utilization information of the electric meters, received by the server and sent by different concentrators, and the updating frequency of the topological connection relation can be updated in real time; in addition, in the electricity interactive system, the topological connection relationship can be displayed in a plan view mode or a building three-dimensional mode.
In this embodiment, the server is through receiving the power consumption information that electric quantity collection equipment sent through the concentrator, can realize the automatic acquisition of the power consumption information of each ammeter, has improved the collection rate of ammeter power consumption information greatly.
Fig. 3 is a schematic flow chart of a power consumption information analysis method in another embodiment, which relates to an optional implementation process of verifying received power consumption information by a server, as shown in fig. 3.
Specifically, under the condition that the electric meters work normally, the server can receive the electricity utilization information of each electric meter sent by the concentrator when the electric meters work normally, but under the condition that the electric meters are damaged, the electricity utilization information of each electric meter sent by the concentrator and received by the server is inaccurate. Therefore, after receiving the electricity utilization information of each electricity meter sent by the concentrator, the server can check the electricity utilization information to ensure that the electricity utilization information is collected under the condition that each electricity meter normally works.
The specific checking mode may be: the server can calculate the maximum electricity utilization threshold value of the electricity meter according to the current and voltage information in the electricity utilization information of the electricity meter every day, wherein the maximum electricity utilization threshold value can be calculated according to the maximum current value of the day, the maximum voltage value of the day and the time length of the day. The server judges the size relation between the power consumption collected by the ammeter and the maximum power utilization threshold value, and can judge that the power consumption is abnormal under the condition that the power consumption collected by the ammeter is greater than the maximum power utilization threshold value, and then can send power utilization warning information to the owner client side to prompt that the power consumption condition collected by the ammeter is abnormal.
After the electric quantity condition that this ammeter of suggestion owner gathered is unusual, the owner can confirm whether this power consumption is the abnormal condition through the actual work condition who examines this ammeter, if the ammeter goes wrong and leads to the measurement of power consumption unusual, then can in time maintain this ammeter.
In this embodiment, the server judges whether the ammeter appears unusually through verifying the power consumption information that receives to in time inform the owner when the ammeter appears unusually to maintain, can judge the trouble condition of ammeter fast, make the owner can master the operating condition of ammeter in real time, improved the management of owner to each ammeter and maintained efficiency.
Fig. 4 is a flowchart illustrating a power consumption information analysis method in another embodiment, where this embodiment relates to an optional implementation process in which a server receives a power consumption information acquisition request of a tenant and generates a power consumption analysis report of the tenant, as shown in fig. 4.
Specifically, the tenant may log in the tenant management system through the account of the tenant, and in the tenant management system, the tenant may query the power consumption information of the electric meter associated with the tenant and may also obtain a power consumption analysis report corresponding to the tenant. When a tenant needs to obtain a power consumption analysis report corresponding to the tenant, the tenant may send a second power information obtaining request to the server through the tenant client, and the server receives the second power information obtaining request sent by the tenant client, where the second power information obtaining request may include an electric meter identifier of the tenant and access time of the tenant accessing the power consumption interaction system.
Specifically, the server may determine, according to the electricity meter identifier of the tenant and the access time of the tenant, the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from the database, and predict, according to the preset electricity trend characteristic model and the historical electricity consumption of the tenant, the electricity consumption of the tenant in a future preset time period to obtain the predicted electricity consumption of the tenant, and the process of obtaining the predicted electricity consumption of the tenant by the server may refer to the content described in step 202, which is not described herein again.
In step 403, the server generates a second electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant, and the current electricity consumption of the tenant, and sends the second electricity analysis report to the tenant client.
Specifically, after obtaining the predicted power consumption of the tenant, the server may generate a second power analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant, and the current month power consumption of the tenant, and send the second power analysis report to the tenant client. After receiving the second electricity analysis report, the tenant may learn about its actual electricity usage according to the second electricity analysis report, or may adjust its electricity usage according to the electricity consumption saving advice provided in the second electricity analysis report.
Optionally, the server may further receive specific parameters of a plurality of electrical devices actually used by the tenant, where the parameters are sent by the tenant, for example: the power of the electric equipment, the service life of the electric equipment and the like can be obtained; when the server predicts the predicted power consumption of the tenant, the server may calculate the predicted power consumption of the tenant in a future preset time period by combining the received parameters of the power consumption device actually used by the tenant, the historical power consumption of the tenant, and the current monthly power consumption of the tenant. Because the actual use parameters of the electric equipment of the tenant are considered in the prediction process, the accuracy of the prediction of the power consumption is greatly improved
In this embodiment, the server may obtain the historical power consumption and the current month power consumption of the tenant according to the second power consumption information acquisition request sent by the tenant through the tenant client, construct the power consumption trend characteristic model of the tenant according to the historical power consumption of the tenant, predict the predicted power consumption of the tenant in a future preset time period according to the power consumption trend characteristic model, generate the second power consumption analysis report of the tenant according to the predicted power consumption, the historical power consumption and the current month power consumption of the tenant, and send the second power consumption analysis report to the tenant client, so that the tenant may master its own power consumption condition through the power consumption interaction system, thereby providing convenience for the tenant, improving user experience of the tenant, and reducing communication cost between the tenant and the owner.
In one optional embodiment, the server may further receive profile information of each tenant and electric meter account information corresponding to each tenant, which are sent by the owner client; the profile information may include access time of the tenant accessing the electricity utilization interaction system, and the electric meter account information may include electric meter identifiers of all electric meters associated with the tenant. Optionally, the profile information may further include at least one of a tenant name, an electricity usage type of the tenant, an industry type of the tenant, an electricity usage manner of the tenant, contract time for the tenant to access the electricity usage interaction system, payment state information of the tenant, and the like, and the electric meter account information may further include at least one of an electric meter name of the tenant, an electric meter type of the tenant, an electric meter state of the tenant, an electric meter attribution of the tenant, an electric meter position of the tenant, and the like.
The electricity utilization type of the tenant can mean that the tenant is household electricity or industrial electricity, and the electricity utilization mode of the tenant can be day electricity utilization or night electricity utilization of the tenant; the payment state information of the tenant can be whether the tenant is in an arrearage state or a non-arrearage state, and the tenant pays the electric charge and the like. Optionally, the electric meter type of the tenant in the electric meter account information may be a direct current electric energy meter, an alternating current electric energy meter, a single-phase electric energy meter, a three-phase three-wire electric energy meter, a three-phase four-wire electric energy meter, and the like.
Fig. 5 is a flowchart illustrating a method for analyzing power consumption information in another embodiment, where this embodiment relates to an alternative implementation process of a server responding to a session request of a tenant, as shown in fig. 5.
Specifically, the server may receive a session request sent by a tenant through a tenant client, where the session request may carry power demand information of the tenant; optionally, the electricity demand information may include electricity fee inquiry information, electricity fee error problem or electricity meter first-aid repair information, and the like.
Specifically, after receiving a session request of a tenant, the server extracts the power demand information of the tenant in the session request, and sends the power demand information of the tenant to the owner client to prompt the owner to reply to the power demand information of the tenant, and optionally, the server may also send the power demand information of the tenant to a contact mobile phone related to the owner in a form of a short message.
In the embodiment, the server receives the session request of the tenant and sends the electricity demand information in the session request of the tenant to the owner, so that the communication convenience between the tenant and the owner is improved, and the communication cost is reduced.
In one optional embodiment, the server may further receive a session request of the owner, where the session request carries various kinds of consultation information that the owner gives to an administrator (may be a relevant person in charge of the property, or a relevant person in charge of the power supply office), the server extracts the consultation information in the session request, and by comparing a keyword in the consultation information with a preset correspondence between a participle and reply content, the server may send the corresponding reply content to the owner client when determining that the keyword has the corresponding reply content, so as to implement automatic reply, and may archive and record the reply condition; the server can also send the information in the session request to an administrator, and the administrator can be reminded in a form of short message through manual reply, and can reply in a form of client or short message.
In an alternative embodiment, after the administrator replies to the owner, the server may further determine whether the content request fed back by the owner is received again within a preset time, and if not, the server may end the session and instruct the client to close the session window.
In an alternative embodiment, the server may also receive various types of files sent by the administrator and/or the owner, such as: the server can store the various files and can also send the various files to the owner client and/or the tenant client.
In the embodiment, the server can realize the online communication between the owner and the administrator by receiving the session request sent by the owner client; meanwhile, the server can store various files, so that the various files can be conveniently sent to owners and tenants in real time, the related electricity charge and price files can be conveniently shared, and the effective management and lossless transmission of the various files are improved.
Fig. 6 is a schematic flow chart of an electricity consumption information analysis method in an embodiment, which is described by taking the application of the method to the owner client in fig. 1 as an example, and includes the following steps:
The first electricity information acquisition request is used for indicating a server to determine the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant from a database according to the electricity meter identification and the access time, predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity utilization trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant, and indicating the server to generate a first electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants.
Specifically, in this embodiment, a tenant management system is integrated on an owner client, an owner can log in the tenant management system in the owner client through a login account of the owner, and create an account of the tenant in the tenant management system for the tenant, configure an electric meter identifier of an electric meter associated with the tenant in the tenant management system, and record access time of the tenant to the electric meter.
Optionally, the owner may also configure archive information and electric meter account information of each tenant for each tenant through the tenant management system on the owner client, and optionally, the electric meter account information may also be acquired by the owner client from the electric power department. Optionally, the profile information includes, in addition to the access time of the tenant to access the electricity consumption interaction system, at least one of the following information: the method comprises the steps of obtaining the name of a tenant, the electricity utilization type of the tenant, the industry type of the tenant, the electricity utilization mode of the tenant, contract time of the tenant accessing the electricity utilization interaction system and payment state information of the tenant. Optionally, the electric meter ledger information further includes at least one of the following information in addition to the electric meter identifiers of all the electric meters associated with the tenant: the method comprises the steps of obtaining the electric meter name of a tenant, the electric meter type of the tenant, the electric meter state of the tenant, the electric meter attribution of the tenant and the electric meter position of the tenant. For explanation of each content in the archive information and each content in the electric meter ledger information, reference may be made to the description of the above embodiments, which are not repeated herein.
After the owner acquires the archive information of each tenant and the electric meter account information corresponding to each tenant acquired by the client, the archive information of each tenant and the electric meter account information corresponding to each tenant can be sent to the server, so that the online storage of the relevant information of each tenant can be realized, the problem that the relevant information of the tenant is lost due to manual recording is avoided, and in addition, the server can conveniently perform next processing or generation of an electric analysis report based on the information.
In addition, the detailed description of step 601 may refer to the process of step 201, and is not repeated herein.
In step 602, the owner client receives the first power consumption analysis report sent by the server.
Specifically, the owner client may receive the first electricity consumption analysis report sent by the server, and the owner may know the electricity consumption condition of each tenant in detail according to the first electricity consumption analysis report, so as to remind the tenant with a large electricity consumption amount of electricity consumption; the overall electricity utilization condition of all tenants under the owner flag can be known.
In the embodiment, when a second electricity analysis report of a tenant needs to be acquired, a first electricity information acquisition request is sent to a server by an owner client, so that the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from a database according to an electricity meter identifier and access time of the tenant carried in the first electricity information acquisition request, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; generating a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the monthly power consumption of the tenant, and then sending the first power consumption analysis report to the owner client; that is to say, based on the first power consumption information acquisition request sent by the owner client, the trigger server assists the owner in analyzing the acquired historical power consumption of the tenant under the owner, predicts the power consumption in a future preset time period according to the historical power consumption, and generates an electricity consumption analysis report of the owner, so that the owner can master more power consumption information except the power consumption of the tenant in each month, and the convenience and the accuracy of the owner in acquiring the power consumption information of the tenant are improved. In addition, in this embodiment, the owner can acquire the historical power consumption and the current month power consumption of all the tenants under the flag through the server, and does not need to manually check the meter by the owner, so that the acquisition efficiency of the power consumption data of the tenants is greatly improved.
In one optional embodiment, the owner client may further receive a session request of the tenant forwarded by the server; the session request carries the electricity demand information of the tenant; the owner client can display the received session request of the tenant in a session frame or forum interface mode, so as to remind the owner to reply to the request of the tenant, and the effective communication between the tenant and the owner is facilitated.
It should be understood that although the various steps in the flow charts of fig. 2-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-6 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 7, there is provided an electricity information analysis apparatus including: a first receiving module 701, a determining module 702, a predicting module 703, a first generating module 704 and a sending module 705, wherein:
a first receiving module 701, configured to receive a first power consumption information obtaining request sent by an owner client, where the first power consumption information obtaining request includes an electric meter identifier of a tenant accessing the power consumption interactive system and access time for the tenant to access the power consumption interactive system;
a determining module 702, configured to determine, according to the electric meter identifier and the access time, a historical power consumption of the tenant and a current month power consumption of the tenant from a database;
the prediction module 703 is configured to predict the power consumption of the tenant in a future preset time period according to a preset power consumption trend characteristic model and the historical power consumption of the tenant, so as to obtain the predicted power consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
a first generating module 704, configured to generate a first power analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant, and the monthly power consumption of the tenant;
a sending module 705, configured to send the first power analysis report to the owner client.
In one embodiment, the determining module 702 is specifically configured to determine, according to the meter identifier, a target meter corresponding to the meter identifier from the database, obtain the current month electricity consumption collected by the target meter from the target meter, and obtain, according to the access time, historical electricity consumption of the previous month since the access time.
In one embodiment, the apparatus further includes a second receiving module, configured to receive power consumption information sent by the power consumption acquisition device in the power consumption interaction system through the concentrator; the electricity utilization information comprises electricity utilization quantity collected by a plurality of electricity meters and current and voltage information of each electricity meter.
In one embodiment, the device further comprises a calculating module and a judging module, wherein the calculating module is used for calculating the maximum electricity utilization threshold value of each electricity meter according to the current and voltage information of each electricity meter; the judging module is used for sending electricity utilization warning information to the owner client under the condition that the electricity consumption collected by the electricity meter is greater than the maximum electricity utilization threshold; the electricity utilization warning information is used for prompting the owner that the electricity quantity collected by the electricity meter is abnormal; the judging module is also used for storing the electricity consumption collected by the ammeter to the database under the condition that the electricity consumption collected by the ammeter is not larger than the maximum electricity consumption threshold.
In one embodiment, the apparatus further comprises a third receiving module and a second generating module. The third receiving module is configured to receive a second electrical information acquisition request sent by a tenant client, where the second electrical information acquisition request includes an electric meter identifier of the tenant and access time for the tenant to access the electricity utilization interaction system; the determining module 702 is further configured to determine, according to the electric meter identifier of the tenant and the access time, the historical electric consumption of the tenant and the current month electric consumption of the tenant from the database; the predicting module 703 is further configured to predict the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant, so as to obtain the predicted electricity consumption of the tenant; the second generation module is used for generating a second electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant; the sending module is further configured to send the second electricity analysis report to the tenant client.
In one embodiment, the first receiving module 701 is further configured to receive archive information of each tenant and electric meter account information corresponding to each tenant, where the archive information is sent by the owner client; the profile information comprises the access time of the tenant to the electricity utilization interaction system, and the electric meter account information comprises electric meter identifications of all electric meters related to the tenant.
In one embodiment, the profile information further comprises at least one of the following information: the method comprises the following steps of (1) acquiring the name of a tenant, the power utilization type of the tenant, the industry type of the tenant, the power utilization mode of the tenant, the contract time of the tenant and the payment state information of the tenant; the electric meter standing book information further comprises at least one of the following information: the method comprises the steps of obtaining the electric meter name of a tenant, the electric meter type of the tenant, the electric meter state of the tenant, the electric meter attribution of the tenant and the electric meter position of the tenant.
In one embodiment, the device further comprises an acquisition module and a model construction module, wherein the acquisition module is used for acquiring the historical electricity consumption of each tenant in a preset historical time period; the model construction module is used for carrying out model construction on the historical power consumption in the preset historical time period by adopting a time series prediction analysis algorithm to obtain a power consumption trend characteristic model corresponding to each tenant.
In one embodiment, the third receiving module is further configured to receive a session request of a tenant, where the session request carries information about power demand of the tenant; the sending module is further configured to send the electricity demand information of the tenant to the owner client.
In one embodiment, as shown in fig. 8, there is provided an electricity information analysis apparatus including: a sending module 801 and a receiving module 802, wherein:
a sending module 801, configured to send a first power consumption information obtaining request to a server in the power consumption interaction system; the first electricity information acquisition request is used for indicating a server to determine the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant from a database according to the electricity meter identification and the access time, predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity utilization trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant, and indicating the server to generate a first electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
a receiving module 802, configured to receive the first power analysis report sent by the server.
In one embodiment, the apparatus further comprises an acquisition module. The acquisition module is used for acquiring the archive information of each tenant and the electric meter account information corresponding to each tenant; the electric meter account information comprises electric meter identifications of all electric meters related to the tenant; the sending module 801 is further configured to send the archive information of each tenant and the electric meter account information corresponding to each tenant to the server.
In one embodiment, the receiving module 802 is further configured to receive a session request of the tenant forwarded by a server; the session request carries the electricity demand information of the tenant.
For specific limitations of the power consumption information analysis device, reference may be made to the above limitations of the power consumption information analysis method, which are not described herein again. All or part of each module in the electricity consumption information analysis device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, an owner client, or a computer device integrated with an owner client and/or a tenant client, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing archive information of different tenants, account book information of electric meters respectively corresponding to the different tenants and historical electricity consumption data of each electric meter. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a power usage information analysis method.
Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
the method comprises the steps that a server receives a first power consumption information acquisition request sent by an owner client, wherein the first power consumption information acquisition request comprises an ammeter identification of a tenant accessed to a power consumption interactive system and access time of the tenant accessed to the power consumption interactive system;
the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from a database according to the electricity meter identification and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
and the server generates a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the current month power consumption of the tenant and then sends the first power consumption analysis report to the owner client.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from the database according to the electricity meter identification and the access time, and the method comprises the following steps: the server determines a target electric meter corresponding to the electric meter identification from the database according to the electric meter identification; the server acquires the monthly electricity consumption collected by the target electricity meter from the target electricity meter, and acquires the historical electricity consumption of the last month from the access time from the target electricity meter according to the access time.
In one embodiment, the processor, when executing the computer program, further performs the steps of: before the server receives a first power utilization information acquisition request sent by the owner client, the method further comprises the following steps: the server receives power utilization information sent by power acquisition equipment in the power utilization interaction system through the concentrator; the electricity utilization information comprises electricity utilization quantity collected by a plurality of electricity meters and current and voltage information of each electricity meter.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the server calculates the maximum electricity utilization threshold value of each electric meter according to the current and voltage information of each electric meter; the server sends electricity utilization warning information to the owner client under the condition that the electricity consumption collected by the electricity meter is greater than the maximum electricity utilization threshold; the electricity utilization warning information is used for prompting the owner that the electricity quantity collected by the electricity meter is abnormal; and the server stores the electricity consumption collected by the ammeter to the database under the condition that the electricity consumption collected by the ammeter is not greater than the maximum electricity consumption threshold.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the server receives a second electricity information acquisition request sent by a tenant client, wherein the second electricity information acquisition request comprises an electricity meter identification of the tenant and access time for the tenant to access the electricity utilization interaction system; the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from the database according to the electricity meter identification of the tenant and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; and the server generates a second electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the current month electricity consumption of the tenant and then sends the second electricity analysis report to the tenant client.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the server receives the archive information of each tenant and the electric meter account information corresponding to each tenant sent by the owner client; the profile information comprises the access time of the tenant to the electricity utilization interaction system, and the electric meter account information comprises electric meter identifications of all electric meters related to the tenant.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the profile information further includes at least one of the following information: the method comprises the following steps of (1) acquiring the name of a tenant, the power utilization type of the tenant, the industry type of the tenant, the power utilization mode of the tenant, the contract time of the tenant and the payment state information of the tenant; the electric meter standing book information further comprises at least one of the following information: the method comprises the steps of obtaining the electric meter name of a tenant, the electric meter type of the tenant, the electric meter state of the tenant, the electric meter attribution of the tenant and the electric meter position of the tenant.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the historical electricity consumption of each tenant in a preset historical time period; and adopting a time series prediction analysis algorithm to carry out model construction on the historical power consumption in the preset historical time period to obtain a power consumption trend characteristic model corresponding to each tenant.
In one embodiment, the processor, when executing the computer program, further performs the steps of: a server receives a session request of a tenant, wherein the session request carries electricity demand information of the tenant; and the server sends the electricity demand information of the tenant to the owner client.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
the method comprises the steps that an owner client sends a first power utilization information acquisition request to a server in the power utilization interaction system; the first electricity information acquisition request is used for indicating a server to determine the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant from a database according to the electricity meter identification and the access time, predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity utilization trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant, and indicating the server to generate a first electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
the owner client receives the first power analysis report sent by the server.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the owner client acquires the archive information of each tenant and the electric meter account information corresponding to each tenant; the electric meter account information comprises electric meter identifications of all electric meters related to the tenant; and the owner client sends the archive information of each tenant and the electric meter account book information corresponding to each tenant to the server.
In one embodiment, the processor, when executing the computer program, further performs the steps of: the business owner client receives the session request of the tenant forwarded by the server; the session request carries the electricity demand information of the tenant.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
the method comprises the steps that a server receives a first power consumption information acquisition request sent by an owner client, wherein the first power consumption information acquisition request comprises an ammeter identification of a tenant accessed to a power consumption interactive system and access time of the tenant accessed to the power consumption interactive system;
the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from a database according to the electricity meter identification and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
and the server generates a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the current month power consumption of the tenant and then sends the first power consumption analysis report to the owner client.
In one embodiment, the computer program when executed by the processor further performs the steps of: the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from the database according to the electricity meter identification and the access time, and the method comprises the following steps: the server determines a target electric meter corresponding to the electric meter identification from the database according to the electric meter identification; the server acquires the monthly electricity consumption collected by the target electricity meter from the target electricity meter, and acquires the historical electricity consumption of the last month from the access time from the target electricity meter according to the access time.
In one embodiment, the computer program when executed by the processor further performs the steps of: before the server receives a first power utilization information acquisition request sent by the owner client, the method further comprises the following steps: the server receives power utilization information sent by power acquisition equipment in the power utilization interaction system through the concentrator; the electricity utilization information comprises electricity utilization quantity collected by a plurality of electricity meters and current and voltage information of each electricity meter.
In one embodiment, the computer program when executed by the processor further performs the steps of: the server calculates the maximum electricity utilization threshold value of each electric meter according to the current and voltage information of each electric meter; the server sends electricity utilization warning information to the owner client under the condition that the electricity consumption collected by the electricity meter is greater than the maximum electricity utilization threshold; the electricity utilization warning information is used for prompting the owner that the electricity quantity collected by the electricity meter is abnormal; and the server stores the electricity consumption collected by the ammeter to the database under the condition that the electricity consumption collected by the ammeter is not greater than the maximum electricity consumption threshold.
In one embodiment, the computer program when executed by the processor further performs the steps of: the server receives a second electricity information acquisition request sent by a tenant client, wherein the second electricity information acquisition request comprises an electricity meter identification of the tenant and access time for the tenant to access the electricity utilization interaction system; the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from the database according to the electricity meter identification of the tenant and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; and the server generates a second electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the current month electricity consumption of the tenant and then sends the second electricity analysis report to the tenant client.
In one embodiment, the computer program when executed by the processor further performs the steps of: the server receives the archive information of each tenant and the electric meter account information corresponding to each tenant sent by the owner client; the profile information comprises the access time of the tenant to the electricity utilization interaction system, and the electric meter account information comprises electric meter identifications of all electric meters related to the tenant.
In one embodiment, the computer program when executed by the processor further performs the steps of: the profile information further includes at least one of the following information: the method comprises the following steps of (1) acquiring the name of a tenant, the power utilization type of the tenant, the industry type of the tenant, the power utilization mode of the tenant, the contract time of the tenant and the payment state information of the tenant; the electric meter standing book information further comprises at least one of the following information: the method comprises the steps of obtaining the electric meter name of a tenant, the electric meter type of the tenant, the electric meter state of the tenant, the electric meter attribution of the tenant and the electric meter position of the tenant.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the historical electricity consumption of each tenant in a preset historical time period; and adopting a time series prediction analysis algorithm to carry out model construction on the historical power consumption in the preset historical time period to obtain a power consumption trend characteristic model corresponding to each tenant.
In one embodiment, the computer program when executed by the processor further performs the steps of: a server receives a session request of a tenant, wherein the session request carries electricity demand information of the tenant; and the server sends the electricity demand information of the tenant to the owner client.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
the method comprises the steps that an owner client sends a first power utilization information acquisition request to a server in the power utilization interaction system; the first electricity information acquisition request is used for indicating a server to determine the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant from a database according to the electricity meter identification and the access time, predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity utilization trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant, and indicating the server to generate a first electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the monthly electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
the owner client receives the first power analysis report sent by the server.
In one embodiment, the computer program when executed by the processor further performs the steps of: the method comprises the steps that an owner client side obtains archive information of each tenant and ammeter ledger information corresponding to each tenant; the electric meter account information comprises electric meter identifications of all electric meters related to the tenant; and the owner client sends the archive information of each tenant and the electric meter account book information corresponding to each tenant to the server.
In one embodiment, the computer program when executed by the processor further performs the steps of: the business owner client receives the session request of the tenant forwarded by the server; the session request carries the electricity demand information of the tenant.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (17)
1. A power utilization information analysis method is characterized by being applied to a server in a power utilization interaction system; the method comprises the following steps:
the server receives a first power consumption information acquisition request sent by an owner client, wherein the first power consumption information acquisition request comprises an electric meter identification of a tenant accessed to the power consumption interactive system and access time of the tenant accessed to the power consumption interactive system;
the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from a database according to the electricity meter identification and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
and the server generates a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the current month power consumption of the tenant and then sends the first power consumption analysis report to the owner client.
2. The method of claim 1, wherein the server determines the historical power usage of the tenant and the current monthly power usage of the tenant from a database based on the meter identification and the access time, comprising:
the server determines a target electric meter corresponding to the electric meter identification from the database according to the electric meter identification;
and the server acquires the monthly power consumption collected by the target electric meter from the target electric meter and acquires the historical power consumption of the last month from the access time from the target electric meter according to the access time.
3. The method according to claim 2, wherein before the server receives the first power consumption information acquisition request sent by the owner client, the method further comprises:
the server receives power utilization information sent by power acquisition equipment in the power utilization interaction system through a concentrator;
the electricity utilization information comprises electricity utilization quantity collected by a plurality of electricity meters and current and voltage information of each electricity meter.
4. The method of claim 3, further comprising:
the server calculates the maximum electricity utilization threshold value of each electric meter according to the current and voltage information of each electric meter;
the server sends power utilization warning information to the owner client under the condition that the power consumption collected by the ammeter is greater than the maximum power utilization threshold; the electricity utilization warning information is used for prompting an owner that the electricity quantity collected by the electricity meter is abnormal;
and the server stores the electricity consumption collected by the ammeter to the database under the condition that the electricity consumption collected by the ammeter is not greater than the maximum electricity consumption threshold value.
5. The method according to any one of claims 1-4, further comprising:
the server receives a second electricity information acquisition request sent by a tenant client, wherein the second electricity information acquisition request comprises an electricity meter identification of the tenant and access time for the tenant to access the electricity utilization interaction system;
the server determines the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from the database according to the electricity meter identification of the tenant and the access time, and predicts the electricity consumption of the tenant in a future preset time period according to a preset electricity consumption trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant;
and the server generates a second electricity analysis report according to the predicted electricity consumption of the tenant, the historical electricity consumption of the tenant and the current month electricity consumption of the tenant and then sends the second electricity analysis report to the tenant client.
6. The method of claim 5, further comprising:
the server receives the archive information of each tenant and the electric meter account information corresponding to each tenant sent by the owner client; the profile information comprises the access time of the tenant to the electricity utilization interaction system, and the electricity meter account information comprises the electricity meter identifications of all electricity meters related to the tenant.
7. The method of claim 6, wherein the profile information further comprises at least one of: the method comprises the following steps of (1) acquiring the name of a tenant, the electricity utilization type of the tenant, the industry type of the tenant, the electricity utilization mode of the tenant, the contract time of the tenant accessing the electricity utilization interaction system and the payment state information of the tenant;
the electricity meter standing book information further includes at least one of the following information: the method comprises the steps of obtaining the electric meter name of a tenant, the electric meter type of the tenant, the electric meter state of the tenant, the electric meter attribution of the tenant and the electric meter position of the tenant.
8. The method of claim 1, further comprising:
acquiring the historical electricity consumption of each tenant in a preset historical time period;
and adopting a time series prediction analysis algorithm to carry out model construction on the historical power consumption in the preset historical time period to obtain a power consumption trend characteristic model corresponding to each tenant.
9. The method according to any one of claims 1-4, further comprising:
the server receives a session request of a tenant, wherein the session request carries power demand information of the tenant;
and the server sends the electricity demand information of the tenant to the owner client.
10. The power utilization information analysis method is characterized by being applied to an owner client in a power utilization interaction system; the method comprises the following steps:
the owner client sends a first power consumption information acquisition request to a server in the power consumption interaction system; the first power consumption information acquisition request comprises an electric meter identification of a tenant accessing the power consumption interaction system and access time of the tenant accessing the power consumption interaction system, and is used for indicating a server to determine historical power consumption of the tenant and monthly power consumption of the tenant from a database according to the electric meter identification and the access time, predicting the power consumption of the tenant in a future preset time period according to a preset power consumption trend characteristic model and the historical power consumption of the tenant to obtain predicted power consumption of the tenant, and indicating the server to generate a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the monthly power consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
and the owner client receives the first power consumption analysis report sent by the server.
11. The method of claim 10, further comprising:
the owner client acquires archive information of each tenant and electric meter account information corresponding to each tenant; the profile information comprises access time of the tenant to the electricity utilization interaction system, and the electric meter account information comprises electric meter identifications of all electric meters related to the tenant;
and the owner client side sends the archive information of each tenant and the electric meter account book information corresponding to each tenant to the server.
12. The method according to claim 10 or 11, characterized in that the method further comprises:
the owner client receives the session request of the tenant forwarded by the server; and the session request carries the electricity demand information of the tenant.
13. The electricity utilization interaction system is characterized by comprising a tenant client, an owner client, a server and electricity quantity acquisition equipment, wherein the electricity quantity acquisition equipment comprises an electricity meter and a concentrator which are electrically connected with each other, and the concentrator, the tenant client and the owner client are respectively in communication connection with the server;
the server is used for executing the electricity consumption information analysis method of any one of the claims 1 to 9;
the owner client is configured to execute the electricity consumption information analysis method according to any one of claims 10 to 12.
14. An electricity information analysis apparatus, characterized in that the apparatus comprises:
the first receiving module is used for receiving a first power consumption information acquisition request sent by an owner client, wherein the first power consumption information acquisition request comprises an electric meter identification of a tenant accessed to the power consumption interactive system and access time of the tenant accessed to the power consumption interactive system;
the determining module is used for determining the historical electricity consumption of the tenant and the current month electricity consumption of the tenant from a database according to the electricity meter identification and the access time;
the prediction module is used for predicting the electricity consumption of the tenant in a future preset time period according to a preset electricity utilization trend characteristic model and the historical electricity consumption of the tenant to obtain the predicted electricity consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
the first generation module is used for generating a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the monthly power consumption of the tenant;
and the sending module is used for sending the first power consumption analysis report to the owner client.
15. An electricity information analysis apparatus, characterized in that the apparatus comprises:
the sending module is used for sending a first power utilization information obtaining request to a server in the power utilization interaction system; the first power consumption information acquisition request comprises an electric meter identification of a tenant accessing the power consumption interaction system and access time of the tenant accessing the power consumption interaction system, and is used for indicating a server to determine historical power consumption of the tenant and monthly power consumption of the tenant from a database according to the electric meter identification and the access time, predicting the power consumption of the tenant in a future preset time period according to a preset power consumption trend characteristic model and the historical power consumption of the tenant to obtain predicted power consumption of the tenant, and indicating the server to generate a first power consumption analysis report according to the predicted power consumption of the tenant, the historical power consumption of the tenant and the monthly power consumption of the tenant; the database comprises historical electricity consumption collected by electricity meters related to a plurality of tenants;
the receiving module is used for receiving the first power analysis report sent by the server.
16. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 12.
17. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 12.
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