Electric appliance system control method and device, electronic equipment and storage medium
A control method and technology for electrical appliances, which are applied in the fields of electronic equipment and storage media, devices, and electrical system control methods, can solve problems such as waste of electric energy and failure to meet user needs, so as to improve operating efficiency, reduce energy consumption, and improve accuracy. Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0026] figure 1 It is a flow chart of an electrical system control method provided by Embodiment 1 of the present invention. This embodiment is applicable to the intelligent control of electrical equipment in buildings. The method can be executed by an electrical system control device, which can adopt implemented in hardware and / or software, see figure 1 , the method provided in the embodiment of the present invention specifically includes the following steps:
[0027] Step 110, collect the traffic flow data of at least one area in the building through the traffic flow sensor.
[0028] Wherein, the people flow sensor may be a sensor for acquiring the number of people within the collection range, and may include an ultrasonic sensor, an infrared array sensor, and the like. Areas may be different locations in a building, for example, different rooms in a room or different stores in a shopping mall. The pedestrian flow data can be data that reflects the movement of pedestrians...
Embodiment 2
[0038] figure 2 It is a flow chart of an electrical system control method provided by Embodiment 2 of the present invention. The embodiment of the present invention is based on the embodiment of the above invention. Refer to figure 2 , the method provided in the embodiment of the present invention specifically includes the following steps:
[0039] Step 210, input the training set of people flow into the time series model sequentially according to time for training.
[0040] Among them, the human flow training set can be a collection of human flow data collected in the building in the past period of time, and the length of a period of time can be associated with local seasonal changes. In areas with large seasonal changes, the length of a period of time can be set For regions with shorter periods of time and less seasonal variation, the length of time can be set longer.
[0041] In the embodiment of the present invention, the people flow training set can be classified acco...
Embodiment 3
[0072] Figure 4 It is a schematic structural diagram of an electrical system control device provided in Embodiment 3 of the present invention, which can execute the electrical system control method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. The device can be realized by software and / or hardware, and specifically includes: a data collection module 301 , a data prediction module 302 and an electrical appliance control module 303 .
[0073] The data collection module 301 is configured to collect the traffic flow data of at least one area in the building through the traffic flow sensor.
[0074] The data prediction module 302 is configured to determine the predicted flow of people and movement trajectory at least one moment based on the flow of people data and the area based on the pre-trained time series model.
[0075] The electrical appliance control module 303 is configured to...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More