CN210776794U - Device for carrying out load analysis and prediction aiming at temperature change - Google Patents
Device for carrying out load analysis and prediction aiming at temperature change Download PDFInfo
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- CN210776794U CN210776794U CN201922168516.8U CN201922168516U CN210776794U CN 210776794 U CN210776794 U CN 210776794U CN 201922168516 U CN201922168516 U CN 201922168516U CN 210776794 U CN210776794 U CN 210776794U
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Abstract
The utility model relates to a carry out device of load analysis prediction to temperature variation, it includes: the system comprises a data acquisition module, a server and a terminal, wherein the server is respectively connected with the data acquisition module and the terminal; the data acquisition module comprises a thermometer, an electric energy meter and a first communication unit, the thermometer and the electric energy meter are both connected with the first communication unit, and the first communication unit is connected with the server; the terminal comprises a second communication module, a load prediction module and a control module, wherein the second communication module is connected with the server, and the load prediction module is respectively connected with the second communication module and the server; the control module is used for controlling the load forecasting module to acquire the temperature and the electricity consumption at a plurality of preset moments every day in a preset time period from the server, and forecasting the load of the forecast day by adopting an intelligent method. The device has high accuracy rate to load prediction, and is convenient for a power utilization manager to visually monitor load data and more comprehensively know the power utilization condition.
Description
Technical Field
The utility model relates to a power supply management technical field especially relates to a device to temperature variation carries out load analysis prediction.
Background
In recent years, with the continuous development of economy in China, a power grid is rapidly developed, load prediction of a regional power grid is very important basic work of a power supply enterprise in the process of power grid construction and dispatching, the load prediction of the regional power grid is as small as that of a factory, and the prediction result of the regional power grid is as large as that of cooling load prediction research in the whole provincial range, and the prediction result of the regional power grid can play a leading role in the management of factories in the region and the planning and construction of power departments.
The load and the temperature have strong relevance, summer is the season with the most electricity consumption in one year, and the cooling load is one of the main reasons for the increase of the electricity consumption in summer. Therefore, it is desired to develop a device capable of accurately predicting a cooling load so as to satisfy the cooling load and the demand for electricity for normal social operations and prevent the economic development from being hindered due to insufficient electricity supply.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problem that a load prediction precision is high is provided, the device that carries out load analysis prediction to the temperature variation that the rate of accuracy of load prediction is high to make things convenient for the audio-visual monitoring load data of power consumption administrator and more comprehensive understanding power consumption condition.
In order to solve the above problems, the utility model adopts the following technical proposal:
an apparatus for load analysis prediction for temperature changes, comprising: the system comprises a data acquisition module, a server and a terminal, wherein the server is respectively connected with the data acquisition module and the terminal;
the data acquisition module comprises a thermometer, an electric energy meter and a first communication unit, the thermometer and the electric energy meter are both connected with the first communication unit, and the first communication unit is connected with the server; the thermometer and the electric energy meter are respectively used for measuring the temperature and the electricity consumption at a plurality of preset moments every day in a historical year and sending the temperature and the electricity consumption to the server through the first communication unit;
the terminal comprises a second communication module, a load prediction module and a control module, wherein the second communication module is connected with the server, and the load prediction module is respectively connected with the second communication module and the server; the control module is used for controlling the load forecasting module to acquire the temperature and the electricity consumption at a plurality of preset moments every day in a preset time period from the server through the second communication module, and forecasting the load of the forecast day by adopting an intelligent method.
As a further improvement of the present invention, the terminal further includes a calling module, and the calling module is respectively connected to the control module and the server;
the calling module is used for calling the temperature and the electricity consumption at a plurality of preset moments every day in the preset time period based on the instruction of the control module and sending the temperature and the electricity consumption to the load prediction module.
As a further improvement of the present invention, the terminal further includes a prediction data management module, and the prediction data management module is connected to the load prediction module and the control module respectively;
the prediction data management module comprises a data management unit and a system setting unit;
the data management unit and the load prediction module are used for storing, inquiring and displaying historical prediction result data;
the system sets up the unit and includes regional information setting, and the system sets up the unit and is used for accomplishing power consumption administrator's management and authority limit conduct the utility model discloses a further improvement, intelligent method includes grey theory, data fitting.
As a further improvement of the present invention, the server includes a server storage module, the server storage module is connected to the data acquisition device, the server storage module is used for storing the temperature and the power consumption.
As a further improvement of the present invention, the terminal further includes: and the human-computer interaction module is connected with the control module and is used for a worker to input the preset time period and the prediction day.
As a further improvement of the utility model, the human-computer interaction module include button and liquid crystal display.
As a further improvement of the utility model, the terminal is a computer.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in:
the utility model provides a carry out device of load analysis prediction to temperature variation, to include temperature and power consumption data acquisition module, server and including the terminal organic combination of load prediction module and control module, consider the relation between temperature and the load, done the load prediction based on load analysis, carry out effective management with load analysis and load prediction to adopt intelligent algorithm to improve the precision of load prediction, improved the rate of accuracy of load prediction; moreover, the management system module is designed more humanized, so that a power utilization manager can monitor load data more intuitively and know the power utilization condition more comprehensively.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the technical solutions in the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an apparatus for load analysis and prediction with respect to temperature change according to the present invention.
Fig. 2 is a schematic structural diagram of another apparatus for load analysis and prediction with respect to temperature change according to the present invention.
FIG. 3 is a flow diagram of a load prediction module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the following description of the present invention with reference to the accompanying drawings and specific embodiments is provided for clarity and completeness.
Fig. 1 is a schematic structural diagram of an apparatus for load analysis and prediction for temperature variation according to the present invention, as shown in fig. 1, the apparatus includes: the system comprises a data acquisition module 1, a server 2 and a terminal 3, wherein the server 2 is respectively connected with the data acquisition module 1 and the terminal 3, and the terminal 3 can be a computer.
The data acquisition module 1 comprises a thermometer 101, an electric energy meter 102 and a first communication unit 103, wherein the thermometer 101 and the electric energy meter 102 are both connected with the first communication unit 103, and the first communication unit 103 is connected with the server 2; the thermometer 101 and the electric energy meter 102 are respectively used for measuring the temperature and the electricity consumption at a plurality of preset moments every day in a historical year and sending the temperature and the electricity consumption to the server 2 through the first communication unit;
the terminal 3 comprises a second communication module 301, a load prediction module 302 and a control module 303, wherein the second communication module 301 is connected with the server 2, and the load prediction module 302 is respectively connected with the second communication module 301 and the server 2; the control module 303 is configured to control the load prediction module 302 to obtain, through the second communication module 301, the temperature and the power consumption at a plurality of preset times each day in a preset time period from the server 2, and predict the load on the predicted day by using an intelligent method.
In a possible implementation manner, in order to facilitate the load prediction module 302 to obtain the temperature and the power consumption at a plurality of preset times each day within a preset time period, as shown in fig. 2, the terminal 3 further includes a calling module, and the calling module is respectively connected with the control module 303 and the server 2;
the calling module 304 is configured to call temperatures and electricity consumption amounts at a plurality of preset times every day within a preset time period based on an instruction of the control module 303, and send the temperatures and electricity consumption amounts to the load prediction module 302.
Fig. 3 is a flowchart of the load prediction module 302, and as shown in fig. 3, the load prediction module 302 predicts the following steps: the method comprises the steps of firstly obtaining the temperature and the power consumption at a plurality of preset moments every day in a preset time period, namely acquiring sample data 31, and then establishing a functional relation 35 in a gray theory 32, an artificial neural network 33 and a data fitting 34 mode, so as to generate a load 36 of a forecast day according to the functional relation.
For example, the preset moments can be whole moments of each day, such as 1 point and 2 points … … 24 points, the gray system theory is to predict a system containing known information and unknown or non-determined information, the patent determines a plurality of reference days by performing gray correlation analysis on the daily maximum electricity consumption and the daily maximum temperature of the electricity consumption valley month, and obtains the average value of the electricity consumption corresponding to 24 hours of each day in the reference days as the reference charge; obtaining a load day in a preset time period through an artificial neural network, respectively making a difference between the load day and the corresponding time of a reference day to obtain a cooling load corresponding to 24 hours every day, and taking the maximum cooling load as the daily maximum cooling load to obtain the maximum temperature corresponding to the daily maximum cooling load; and finally, performing data fitting on the maximum cooling load of a plurality of groups of days and the maximum temperature of the day corresponding to the maximum cooling load of the day to obtain a fitting function of the maximum cooling load of the day and the maximum temperature of the day, so as to obtain the load of the prediction day according to the fitting function and the maximum temperature of the prediction day.
As shown in fig. 2, the terminal 3 further includes a prediction data management module, and the prediction data management module is respectively connected to the load prediction module 302 and the control module 303;
the prediction data management module 305 includes a data management unit and a system setting unit;
the data management unit and load prediction module 302 is configured to store, query, and display historical prediction result data, and after obtaining a predicted load result, the power utilization manager may select to store the predicted load result in a local database, so that the power utilization manager can review the predicted load result at a later stage.
The system setting unit comprises area information setting and is used for completing the functions of power utilization manager management, authority limitation and password modification.
Regarding the storage mode of the temperature and the power consumption at a plurality of preset moments every day in the historical years acquired by the data acquisition module 1, in one possible implementation mode, the server 2 comprises a server 2 storage module, the server 2 storage module is connected with the data acquisition device, and the server 2 storage module is used for storing the temperature and the power consumption.
Of course, the terminal 3 may also include: and the human-computer interaction module comprises a key and a liquid crystal display screen, is connected with the control module 303, and is used for a worker to input a preset time period and a forecast day.
The utility model provides a carry out device of load analysis prediction to temperature variation, to include temperature and power consumption data acquisition module, server and including the terminal organic combination of load prediction module and control module, consider the relation between temperature and the load, done the load prediction based on load analysis, carry out effective management with load analysis and load prediction to adopt intelligent algorithm to improve the precision of load prediction, improved the rate of accuracy of load prediction; moreover, the management system module is designed more humanized, so that a power utilization manager can monitor load data more intuitively and know the power utilization condition more comprehensively.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention.
Claims (8)
1. An apparatus for analyzing and predicting a load for a temperature change, comprising: the system comprises a data acquisition module, a server and a terminal, wherein the server is respectively connected with the data acquisition module and the terminal;
the data acquisition module comprises a thermometer, an electric energy meter and a first communication unit, the thermometer and the electric energy meter are both connected with the first communication unit, and the first communication unit is connected with the server; the thermometer and the electric energy meter are respectively used for measuring the temperature and the electricity consumption at a plurality of preset moments every day in a historical year and sending the temperature and the electricity consumption to the server through the first communication unit;
the terminal comprises a second communication module, a load prediction module and a control module, wherein the second communication module is connected with the server, and the load prediction module is respectively connected with the second communication module and the server; the control module is used for controlling the load forecasting module to acquire the temperature and the electricity consumption at a plurality of preset moments every day in a preset time period from the server through the second communication module, and forecasting the load of the forecast day by adopting an intelligent method.
2. The apparatus for analyzing and predicting load according to temperature variation of claim 1, wherein the terminal further comprises a calling module, and the calling module is respectively connected to the control module and the server;
the calling module is used for calling the temperature and the electricity consumption at a plurality of preset moments every day in the preset time period based on the instruction of the control module and sending the temperature and the electricity consumption to the load prediction module.
3. The device for analyzing and predicting the load aiming at the temperature change is characterized in that the terminal further comprises a prediction data management module, and the prediction data management module is respectively connected with the load prediction module and the control module;
the prediction data management module comprises a data management unit and a system setting unit;
the data management unit and the load prediction module are used for storing, inquiring and displaying historical prediction result data;
the system setting unit comprises area information setting and is used for completing the functions of power utilization manager management, authority limitation and password modification.
4. The device for load analysis and prediction for temperature change according to claim 1, wherein the intelligent method comprises grey theory and data fitting.
5. The apparatus according to claim 1, wherein the server comprises a server storage module, the server storage module is connected to the data acquisition device, and the server storage module is configured to store the temperature and the power consumption.
6. The apparatus for load analysis and prediction on temperature change according to claim 1, wherein the terminal further comprises: and the human-computer interaction module is connected with the control module and is used for a worker to input the preset time period and the prediction day.
7. The apparatus according to claim 6, wherein the human-computer interaction module comprises a button and a liquid crystal display.
8. The apparatus for load analysis and prediction of temperature change according to claim 1, wherein the terminal is a computer.
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| CN201922168516.8U CN210776794U (en) | 2019-12-06 | 2019-12-06 | Device for carrying out load analysis and prediction aiming at temperature change |
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| CN201922168516.8U CN210776794U (en) | 2019-12-06 | 2019-12-06 | Device for carrying out load analysis and prediction aiming at temperature change |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112419699A (en) * | 2020-11-04 | 2021-02-26 | 国网山西省电力公司营销服务中心 | Resource allocation method and system suitable for power system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112419699A (en) * | 2020-11-04 | 2021-02-26 | 国网山西省电力公司营销服务中心 | Resource allocation method and system suitable for power system |
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