CN-122018278-A - Intelligent alarm clock system based on multidimensional dynamic data

CN122018278ACN 122018278 ACN122018278 ACN 122018278ACN-122018278-A

Abstract

The invention provides an intelligent alarm clock system based on multi-dimensional dynamic data, which comprises a data acquisition module, a calculation module and an execution module, wherein the data acquisition module is used for acquiring vehicle navigation real-time road conditions, weather office weather data and a national legal holiday database, the calculation module is internally provided with a calculation model, the calculation model calculates alarm time according to the data acquired by the data acquisition module, and the execution module is used for reminding a user according to the alarm time output by the calculation module. The invention can calculate the better getting-up alarm time by combining the multidimensional data such as weather, holidays, real-time road conditions and the like, thereby better meeting the demands of users.

Inventors

WU YALING
LI XIAOYUAN
YANG LIHONG
HU YANJIAO
LI JIE
CHEN ANQI
WU YOU

Assignees

安徽江淮汽车集团股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260326

Claims (10)

1. The intelligent alarm clock system based on the multi-dimensional dynamic data is characterized by comprising a data acquisition module, a calculation module and an execution module, wherein the data acquisition module is used for acquiring vehicle navigation real-time road conditions, weather office weather data and national legal holiday databases, the calculation module is internally provided with a calculation model, the calculation model calculates alarm time according to the data acquired by the data acquisition module, and the execution module is used for reminding a user according to the alarm time output by the calculation module.
2. The multi-dimensional dynamic data-based intelligent alarm clock system of claim 1, wherein the data acquisition module is further configured to acquire historical habit data of the user, the historical habit data of the user including washing time, breakfast time, and other habits.
3. The multi-dimensional dynamic data-based intelligent alarm clock system of claim 2, wherein the calculation model has a buffer time for correcting the alarm time, wherein the buffer time is determined based on historical delay probability and current road condition, weather and holiday information.
4. The multi-dimensional dynamic data-based intelligent alarm clock system of claim 3, wherein the calculation model is: T wake =T target -T prepare -T SUM -T buffe ; Wherein, T wake is alarm time, T target is time when the user expects to reach the destination, T prepare is time consuming of the user calculated according to the user history habit data, T SUM is commute time calculated according to weather conditions, holiday information and road conditions, and T buffer is buffer time.
5. The multi-dimensional dynamic data based intelligent alarm clock system of claim 4, wherein the user time consuming calculation formula is: T prepare =T wash +T breakfast +T other , Wherein T wash is the washing time, T breakfas is the breakfast time, and T other is the time consumption of other habits of the user.
6. The multi-dimensional dynamic data based intelligent alarm clock system of claim 4, wherein the commute time is calculated as: T SUM =a holiday × b weather× c traffic× T SUM_T , Wherein T SUM_T is historical average commute time, a holiday is holiday correction coefficient, c traffic road condition influence coefficient and b weather is weather influence coefficient.
7. The multi-dimensional dynamic data-based intelligent alarm clock system of claim 6, wherein the calculation formula of the buffering time is T buffer =k ×a 2 holiday ＋ b 2 weather＋ c 2 traffic , wherein k is a buffering coefficient.
8. The multi-dimensional dynamic data based intelligent alarm clock system of claim 6, wherein a holiday =0 during legal holidays and without commuting, a holiday =1 during normal working days, b weather =1 during sunny days, b weather =1.1 during light rain, b weather = 1.3 during medium rain, and b weather = 1.5 during heavy rain/snow/fog according to weather office data.
9. The intelligent alarm clock system based on multi-dimensional dynamic data according to claim 6, wherein when road conditions are clear, c traffic =1, when the road conditions are slow, c traffic =1.2, when the road conditions are congested, c traffic =1.5, and when the road conditions are severe, c traffic =2.
10. The intelligent alarm clock system based on multi-dimensional dynamic data according to any one of claims 1 to 9, wherein the execution device of the execution module comprises a smart phone, a smart watch or a smart home, and the execution module further comprises a vehicle pre-start module for turning on an air conditioning or defogging function according to weather conditions.

Description

Intelligent alarm clock system based on multidimensional dynamic data Technical Field The invention belongs to the technical field of alarm clock control, and particularly relates to an intelligent alarm clock system based on multidimensional dynamic data. Background In the traditional alarm clock setting scheme, a user usually needs to manually set alarm time, the alarm time cannot adapt to dynamically-changed commute environments, traffic speed reduction caused by extreme weather (such as heavy rain and heavy snow) is not considered, the user can delay according to the set alarm time, sudden traffic jams (such as accidents and construction) are not considered, the set alarm time is unreasonable, when holiday adjustment is not considered, an alarm is not required to be set, the alarm time is unreasonable, and the user requirements are difficult to meet. Therefore, how to design an intelligent alarm clock system based on multi-dimensional dynamic data, so as to calculate the optimal alarm time by combining the multi-dimensional data such as weather, holidays, real-time road conditions and the like, becomes a technical problem which needs to be solved by the technicians in the field. Disclosure of Invention The invention aims to provide an intelligent alarm clock system based on multidimensional dynamic data so as to solve the technical problems in the prior art. In order to achieve the above purpose, the present invention provides the following technical solutions: The intelligent alarm clock system based on the multi-dimensional dynamic data comprises a data acquisition module, a calculation module and an execution module, wherein the data acquisition module is used for acquiring vehicle navigation real-time road conditions, weather data of a weather bureau and a national legal holiday database, a calculation model is arranged in the calculation module, the calculation model calculates alarm time according to the data acquired by the data acquisition module, and the execution module is used for reminding a user according to the alarm time output by the calculation module. Preferably, the data acquisition module is further configured to acquire historical habit data of the user, where the historical habit data includes washing time, breakfast time and other habits. Preferably, the calculation model has a buffer time for correcting the alarm time, and the buffer time is determined based on the historical delay probability and the current road condition, weather and holiday information. Preferably, the calculation model is: Twake=Ttarget-Tprepare-TSUM-Tbuffe; Wherein, T wake is alarm time, T target is time when the user expects to reach the destination, T prepare is time consuming of the user calculated according to the user history habit data, T SUM is commute time calculated according to weather conditions, holiday information and road conditions, and T buffer is buffer time. Preferably, the user-time consuming calculation formula is: Tprepare=Twash+Tbreakfast+Tother, Wherein T wash is the washing time, T breakfas is the breakfast time, and T other is the time consumption of other habits of the user. Preferably, the commute time is calculated as: TSUM=aholiday ×bweather×ctraffic×TSUM_T, Wherein T SUM_T is historical average commute time, a holiday is holiday correction coefficient, c traffic road condition influence coefficient and b weather is weather influence coefficient. Preferably, the calculation formula of the buffering time is T buffer=k ×a2 holiday ＋b2 weather＋c2traffic, wherein k is a buffering coefficient. Preferably, holidays are legal and no commute is required a holiday =0, normal working days a holiday =1, weather office data is used, weather b weather =1, light rain b weather =1.1, medium rain b weather = =1.3, heavy rain/snow/fog b weather = 1.5. Preferably, when the road condition is clear, c traffic =1, when the road condition is slow, c traffic =1.2, when the road condition is congested, c traffic =1.5, and when the road condition is severe, c traffic =2. Preferably, the execution device of the execution module comprises a smart phone, a smart watch or a smart home, and the execution module further comprises a vehicle pre-starting module for opening an air conditioner or defogging function according to weather conditions. The invention has the beneficial effects that: The intelligent alarm clock system based on the multi-dimensional dynamic data can calculate the optimal alarm time by combining the multi-dimensional data such as weather, holidays, real-time road conditions and the like, so that the requirements of users can be better met. Drawings For a clearer description of embodiments of the present application or of the prior art, reference will be made briefly to the accompanying drawings, which are required to be used in the embodiments, and to further detail of specific embodiments of the present application, taken in conjunction with the accompanying drawings, wherein Fig. 1 is a