CN210776794U - Device for carrying out load analysis and prediction aiming at temperature change - Google Patents

Abstract

The utility model relates to a device for analyzing and predicting load against temperature changes, which 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 , both the thermometer and the electric energy meter are connected with the first communication unit, and the first communication unit is connected with the server; the terminal includes a second communication module, a load prediction module and a control module, the second communication module is connected with the server, and the load prediction module is respectively connected with the second communication module, load prediction module and control module. The communication module is connected to the server; the control module is used to control the load forecasting module to obtain the temperature and electricity consumption at multiple preset moments in a preset time period every day from the server, and use an intelligent method to predict the load on the predicted day. The device has a high accuracy rate for load prediction, which facilitates the power consumption manager to monitor the load data intuitively and to understand the power consumption situation more comprehensively.

Description

A device for load analysis and prediction for temperature changes

technical field

The utility model relates to the technical field of power supply management, in particular to a device for performing load analysis and prediction for temperature changes.

Background technique

In recent years, with the continuous development of my country's economy, the power grid has also developed rapidly. The load forecasting of regional power grids is a very important basic work for power supply companies in the process of power grid construction and dispatching, as small as the load forecasting of a factory. , as large as the cooling load forecasting research in the whole province, the forecasting results will play a leading role in the operation and management of factories in the region and the planning and construction of the power sector.

There is a strong correlation between load and temperature. Summer is the season with the most electricity consumption in a year, and cooling load is one of the main reasons for the growth of electricity consumption in summer. Therefore, it is urgent to develop a device that can accurately predict the cooling load, so as to meet the cooling load and the electricity demand for normal operation of the society, and prevent the situation that the economic development is hindered due to insufficient power supply.

Utility model content

The technical problem to be solved by the utility model is to provide a device for analyzing and predicting load for temperature change with high load forecasting accuracy and high accuracy of load forecasting, so as to facilitate the intuitive monitoring of load data and a more comprehensive understanding of the power consumption manager. electricity usage.

In order to solve the above-mentioned problems, the technical scheme adopted by the present utility model is:

A device for analyzing and predicting load for temperature changes, comprising: a data acquisition module, a server and a terminal, wherein the server is respectively connected to the data acquisition module and the terminal;

The data acquisition module includes a thermometer, an electric energy meter and a first communication unit, the thermometer and the electric energy meter are both connected to the first communication unit, and the first communication unit is connected to the server; the thermometer and the electric energy meter are connected to the first communication unit. The electric energy meter is respectively used to measure the temperature and the power consumption at a plurality of preset times every day in a historical year, and send the temperature and the power consumption to the server through the first communication unit;

The terminal includes a second communication module, a load prediction module and a control module, the second communication module is connected with the server, and the load prediction module is connected with the second communication module and the server respectively; the control The module is used to control the load prediction module to obtain the temperature and power consumption at multiple preset moments in a preset time period from the server through the second communication module, and use an intelligent method to analyze the prediction of the day. load forecast.

As a further improvement of the present invention, the terminal further includes a calling module, and the calling module is respectively connected with the control module and the server;

The calling module is configured to call, based on an instruction of the control module, the temperature and power consumption at a plurality of preset moments every day in the preset time period, and send them to the load forecasting module.

As a further improvement of the present invention, the terminal further includes a forecast data management module, and the forecast data management module is respectively connected with the load forecast module and the control module;

The forecast data management module includes a data management unit and a system setting unit;

The data management unit and the load forecasting module are used for saving, querying and displaying historical forecasting result data;

The system setting unit includes area information setting, and the system setting unit is used to complete the management of power consumption managers and authority limits as a further improvement of the present invention, and the intelligent method includes grey theory and 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, and the server storage module is used to store the temperature and the power consumption.

As a further improvement of the present invention, the terminal further includes: a human-computer interaction module, the human-computer interaction module is connected with the control module, and the human-computer interaction module is used for the staff to input the preset time period and the said forecast date.

As a further improvement of the present invention, the human-computer interaction module includes buttons and a liquid crystal display.

As a further improvement of the present invention, the terminal is a computer.

The beneficial effects produced by the above technical solutions are:

The utility model provides a device for load analysis and prediction for temperature changes, which organically combines a data acquisition module including temperature and power consumption, a server, and a terminal including a load prediction module and a control module, taking into account the temperature and load The relationship between them achieves load forecasting based on load analysis, effectively manages load analysis and load forecasting, and adopts intelligent algorithms to improve the accuracy of load forecasting and the accuracy of load forecasting; and, the management system module is more The user-friendly design enables electricity managers to monitor the load data more intuitively and understand the electricity consumption more comprehensively.

Description of drawings

In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the accompanying drawings that need to be used in the description of the specific embodiments or the prior art. Obviously, the following descriptions The accompanying drawings are some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

FIG. 1 is a schematic structural diagram of a device for analyzing and predicting load for temperature changes provided by the present invention.

FIG. 2 is a schematic structural diagram of another device for performing load analysis and prediction for temperature changes provided by the present invention.

Figure 3 is a flow chart of the load prediction module.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present utility model more clear, the utility model will be described clearly and completely below with reference to the accompanying drawings and specific embodiments.

FIG. 1 is a schematic structural diagram of a device for load analysis and prediction for temperature changes provided by the present invention. As shown in FIG. 1 , it includes: a data acquisition module 1, a server 2 and a terminal 3. The server 2 and the data acquisition module are respectively 1 is connected to terminal 3, which can be a computer.

The data acquisition module 1 includes a thermometer 101, an electric energy meter 102 and a first communication unit 103. Both the thermometer 101 and the electric energy meter 102 are connected to the first communication unit 103, and the first communication unit 103 is connected to the server 2; the thermometer 101 and the electric energy meter 102 are respectively It is used to measure the temperature and power consumption at multiple preset moments every day in the history, and send the temperature and power consumption to the server 2 through the first communication unit;

The terminal 3 includes a second communication module 301, a load prediction module 302 and a control module 303. The second communication module 301 is connected to the server 2, and the load prediction module 302 is respectively connected to the second communication module 301 and the server 2; the control module 303 is used to control The load forecasting module 302 obtains, through the second communication module 301 , the temperature and power consumption at multiple preset times each day within a preset time period from the server 2 , and uses an intelligent method to predict the load on the predicted day.

In a possible implementation manner, in order to facilitate the load prediction module 302 to obtain the temperature and power consumption at multiple preset moments every day within a preset time period, as shown in FIG. 2 , the terminal 3 further includes a calling module that calls The modules are respectively connected with the control module 303 and the server 2;

The calling module 304 is configured to call, based on the instruction of the control module 303 , the temperature and the power consumption at multiple preset moments in a preset time period every day, and send them to the load forecasting module 302 .

FIG. 3 is a flowchart of the load forecasting module 302. As shown in FIG. 3, the forecasting process of the load forecasting module 302 is as follows: First, the temperature and power consumption at a plurality of preset times per day in a preset time period are obtained, that is, The sample data 31 is collected, and then a functional relationship 35 is established by means of grey theory 32, artificial neural network 33, and data fitting 34, so as to generate a predicted daily load 36 according to the functional relationship.

For example: the multiple preset moments can be the whole hour every day, such as 1 o'clock, 2 o'clock... 24 o'clock, the gray system theory is to predict the system that contains both known information and unknown or uncertain information. The patent determines a plurality of base days by performing a grey correlation analysis on the daily maximum power consumption and the daily maximum temperature in the month of low power consumption, and obtains the average value of the power consumption corresponding to 24 hours per day in the multiple base days as the benchmark. Then, through the artificial neural network, the load day in the preset time period is obtained, and the difference between the load day and the corresponding time of the base day is obtained to obtain the cooling load corresponding to 24 hours a day, and the maximum cooling load is taken as the daily maximum cooling load. load to obtain the maximum temperature corresponding to the daily maximum cooling load; finally, perform data fitting on multiple groups of the daily maximum cooling load and the daily maximum temperature corresponding to the daily maximum cooling load, and obtain the fitting function of the daily maximum cooling load and the daily maximum temperature , so as to obtain the load on the forecast day according to the fitting function and the maximum temperature on the forecast day.

As shown in FIG. 2, the terminal 3 further includes a forecast data management module, and the forecast data management module is respectively connected with the load forecast module 302 and the control module 303;

The forecast data management module 305 includes a data management unit and a system setting unit;

The data management unit and the load forecasting module 302 are used for saving, querying and displaying historical forecasting result data. After obtaining the predicted load result, the electricity manager can choose to store it in the local database, so as to facilitate the electricity manager to review it later The predicted load result.

The system setting unit includes regional information setting, and the system setting unit is used to complete the functions of power consumption manager management, authority restriction and password modification.

Regarding the storage method of the temperature and electricity consumption collected by the data acquisition module 1 at multiple preset moments every day in the historical year, in a possible implementation manner, the server 2 includes a server 2 storage module, and the server 2 storage module is connected to The data acquisition device is connected, and the server 2 storage module is used to store temperature and power consumption.

Of course, the terminal 3 may also include: a human-computer interaction module, the human-computer interaction module includes buttons and a liquid crystal display screen, the human-computer interaction module is connected to the control module 303, and the human-computer interaction module is used for the staff to input preset time periods and Forecast day.

The utility model provides a device for load analysis and prediction for temperature changes, which organically combines a data acquisition module including temperature and power consumption, a server, and a terminal including a load prediction module and a control module, taking into account the temperature and load The relationship between them achieves load forecasting based on load analysis, effectively manages load analysis and load forecasting, and adopts intelligent algorithms to improve the accuracy of load forecasting and the accuracy of load forecasting; and, the management system module is more The user-friendly design enables electricity managers to monitor the load data more intuitively and understand the electricity consumption more comprehensively.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present utility model, but not to limit them; although the present utility model has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements to some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions in 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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