CN110083577B - Data collection method of intelligent home cloud platform - Google Patents
Data collection method of intelligent home cloud platform Download PDFInfo
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- CN110083577B CN110083577B CN201910175020.5A CN201910175020A CN110083577B CN 110083577 B CN110083577 B CN 110083577B CN 201910175020 A CN201910175020 A CN 201910175020A CN 110083577 B CN110083577 B CN 110083577B
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Abstract
The invention discloses a data collection method of an intelligent home cloud platform, which comprises the following steps: collecting raw data generated after a user uses the smart home, wherein the time for generating the raw data is 0-30 days, and sending the collected raw data to a data center; the data center detects the received raw data and screens the data once according to the integrity of the raw data. According to the data collection method of the intelligent home cloud platform, the integrity of data can be guaranteed, the data cross can be avoided, the flow of cloud platform data can be reduced, the data storage and analysis cost can be reduced, the speed of the cloud platform for controlling intelligent furniture can be increased, the accuracy of the data can be increased, the control effect of the intelligent home cloud platform can be improved, people can be helped to find problems of the intelligent home cloud platform in time, the use effect of the intelligent home cloud platform can be improved, and better use prospects can be brought.
Description
Technical Field
The invention relates to the field of intelligent home cloud platforms, in particular to a data collection method of an intelligent home cloud platform.
Background
With the rapid development of society, various intelligent home devices and equipment continuously appear, in order to better control the intelligent home devices, people invent an intelligent home cloud platform, and the most important link in the control process of the intelligent home cloud platform is data collection of the intelligent home cloud platform, the existing data collection method of the intelligent home cloud platform mainly embeds a data uploading function in a client program, then deploys a program monitoring data uploading port at the end of a server, collects data uploaded by the client, but with the development of science and technology, the requirements of people on the intelligent home cloud platform are higher and higher, so that the traditional data collection method of the intelligent home cloud platform cannot meet the use requirements of people;
the existing data collection method of the intelligent home cloud platform has certain disadvantages in use, firstly, the existing data collection method is directly uploaded to a server when collecting data and is arranged in a service area, the log data volume is large, the user bandwidth and the server bandwidth are occupied, the cost of storing and analyzing the large data is high, information loss is easy to occur, secondly, the data collected by the existing data collection method is uploaded incompletely and untimely, the result of calculation of the intelligent home cloud platform is inaccurate, and the use effect of the intelligent home cloud platform is influenced; finally, in the process of collecting data by the existing intelligent home cloud platform, a user cannot participate, and does not fit people, so that the result of management and control of the intelligent home cloud platform cannot meet the use requirements of people.
Disclosure of Invention
The invention mainly aims to provide a data collection method of an intelligent home cloud platform, which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
a data collection method of an intelligent home cloud platform comprises the following steps:
(1) Collecting original data generated after the user uses the smart home, wherein the generation time of the original data is 0-30 days, and sending the collected original data to a data center;
(2) The data center detects the received original data and carries out primary screening on the data according to the integrity of the original data;
(3) Setting a normal intelligent household numerical range, comparing the data after primary screening with the range by the data center, and performing secondary screening;
(4) Generating a corresponding statistical report from the secondarily screened intelligent household data, and generating a special report from the secondarily screened data;
(5) The generated statistical report and the special report are sent to a user and an expert for data verification, and the report is sent to the cloud platform after the data is verified to be correct;
(6) And the cloud platform respectively stores the verified statistical report and the verified special report, compares the received report with the existing report and clears the same report.
Preferably, the raw data collected in step (1) is a whole individual.
Preferably, the channels for collecting the raw data in the step (1) are as follows:
(1) the intelligent home keyword searching method comprises the steps of connecting a network, directly searching intelligent home keywords on the network, and directly importing retrieved data into a data center;
(2) the method comprises the steps of connecting the smart home used in a user home, receiving relevant data generated in the using process of the smart home by self, and directly importing the retrieved data into a data center;
(3) sending a corresponding smart home questionnaire to smart home users through a network, collecting the use data of the smart home, and directly importing the retrieved data into a data center;
(4) and directly inquiring related data of the intelligent home used by the intelligent home user through the customer service, and directly importing the data obtained by inquiry into a data center.
Preferably, in the step (2), the criteria for one screening are:
i, collecting the original data continuously, for example, collecting the data of the same whole house of the same user for seven days or half a month;
II, the collected original data are complete, for example, data generated by intelligent homes of the same type in different time and different environments are as follows:
and III, the collected original data are comprehensive, for example, the data generated when the smart home of the same model is matched with other smart homes for use.
Preferably, in the step (3), the remaining data after the second screening needs to be screened again, and the content screened out for the second screening is marked to separately generate a special report.
Preferably, in the step (4), the generated statistical report and the special report are automatically labeled with the data collection place and the data collection time.
Preferably, in the step (5), the data which is not verified in one period (one month or half month) is continuously stored in the data center for continuous verification, and the smart home data which is not verified in 3-8 periods is automatically deleted.
Preferably, in the step (6), after the corresponding report enters the cloud platform, file comparison is performed according to the marked collection place and the marked collection time, and repeated files are deleted.
Compared with the prior art, the invention has the following beneficial effects:
1. the data center is arranged at each place and processes local data, so that the integrity of the data can be guaranteed, the situation of data intersection is avoided, and the information is transmitted to the data center for screening and then transmitted to the cloud platform, so that the flow of the data of the cloud platform can be reduced, the cost of large data storage and analysis is reduced, the bandwidth of a server of the cloud platform and the bandwidth of a user of the cloud platform are improved, and the speed of the cloud platform for controlling the intelligent furniture is improved;
2. the information is screened in the information acquisition process of the intelligent home cloud platform, incomplete data are removed, and the accuracy of the data is further improved as a data generation report needs to be verified by experts and users, so that the accuracy of information collection of the intelligent home cloud platform is improved, and the management and control effect of the intelligent home cloud platform is improved;
3. the data generation report needs to be verified and mutually communicated by experts and users, the conditions of the special report are analyzed, people are timely helped to find the problems of the intelligent home cloud platform, and the using effect of the intelligent home cloud platform is improved.
Drawings
Fig. 1 is a flowchart of an overall structure of a data collection method of an intelligent home cloud platform according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Example 1
(1) The method comprises the following steps of collecting original data generated after a user uses the smart home, wherein the time for generating the original data is 0-10 days, sending the collected original data to a data center, collecting the original data into a whole individual, wherein the channels for collecting the original data comprise:
(1) the intelligent home network system is connected with a network, intelligent home keywords are directly searched on the network, and retrieved data are directly imported into a data center;
(2) the intelligent home system is connected with the intelligent home used in the home of the user, receives relevant data generated in the using process of the intelligent home, and directly imports the retrieved data into a data center;
(3) sending a corresponding smart home questionnaire to smart home users through a network, collecting the use data of the smart home, and directly importing the retrieved data into a data center;
(4) and directly inquiring related data of the intelligent home used by the intelligent home user through the customer service, and directly importing the data obtained by inquiry into a data center.
(2) The data center detects the received original data and carries out primary screening on the data according to the integrity of the original data; the criteria for one screening were:
i, collecting the original data continuously, for example, collecting the data of the same whole house of the same user for seven days or half a month;
II, the collected original data are complete, for example, the data generated by the smart home of the same model in different time and different environments:
and III, the collected original data are comprehensive, for example, the data generated when the smart home of the same model is matched with other smart homes for use.
(3) And the remaining data after the secondary screening needs to be screened again for the first time, the content screened out for the second time is marked, and a special report is generated independently.
(4) And generating a corresponding statistical report by using the intelligent household data subjected to secondary screening, generating a special report by using the data subjected to secondary screening, and automatically marking the data collection place and the data collection time by using the generated statistical report and the special report.
(5) And sending the generated statistical report and the special report to a user and an expert for data verification, sending the report to a cloud platform after verification is correct, continuously storing data which are not verified in one period (one month or half month) in a data center for continuous verification, and automatically deleting the intelligent home data which are not verified in 3-5 periods.
(6) And the cloud platform stores the verified statistical report and the verified special report respectively, compares the received report with the existing report, clears the same report, compares files according to the marked collection place and the marked collection time after the corresponding report enters the cloud platform, and deletes repeated files.
Example 2
(1) The method comprises the following steps of collecting original data generated after a user uses the smart home, wherein the time for generating the original data is 0-20 days, sending the collected original data to a data center, collecting the original data into a whole individual, wherein the channels for collecting the original data comprise:
(1) the intelligent home network system is connected with a network, intelligent home keywords are directly searched on the network, and retrieved data are directly imported into a data center;
(2) the intelligent home system is connected with the intelligent home used in the home of the user, receives relevant data generated in the using process of the intelligent home, and directly imports the retrieved data into a data center;
(3) sending a corresponding smart home questionnaire to smart home users through a network, collecting the use data of the smart home, and directly importing the retrieved data into a data center;
(4) and directly inquiring related data of the intelligent home used by the intelligent home user through the customer service, and directly importing the data obtained by inquiry into a data center.
(2) The data center detects the received original data and performs primary screening on the data according to the integrity of the original data, wherein the primary screening standard is as follows:
i, collecting the collected original data continuously, for example, collecting the data of the same whole house of the same user for seven days or half a month;
II, the collected original data are complete, for example, the data generated by the smart home of the same model in different time and different environments:
and III, the collected original data are comprehensive, for example, the data generated when the smart home of the same model is matched with other smart homes for use.
(3) And the remaining data after the secondary screening needs to be screened again for the first time, the content screened out for the second time is marked, and a special report is generated independently.
(4) Generating a corresponding statistical report from the secondarily screened intelligent household data, and generating a special report from the secondarily screened data; the generated statistical report and the special report automatically mark the data collection place and the data collection time.
(5) And sending the generated statistical report and the special report to a user and an expert for data verification, sending the report to a cloud platform after verification is correct, continuously storing data which are not verified in one period (one month or half month) in a data center for continuous verification, and automatically deleting the intelligent home data which are not verified in 3-6 periods.
(6) And the cloud platform respectively stores the verified statistical report and the verified special report, compares the received report with the existing report, removes the same report, compares the files according to the marked collection place and the marked collection time after the corresponding report enters the cloud platform, and deletes the repeated files.
Example 3
(1) The method comprises the following steps of collecting original data generated after a user uses the smart home, wherein the time for generating the original data is 0-30 days, sending the collected original data to a data center, collecting the original data into a whole individual, wherein the channels for collecting the original data comprise:
(1) the intelligent home keyword searching method comprises the steps of connecting a network, directly searching intelligent home keywords on the network, and directly importing retrieved data into a data center;
(2) the intelligent home system is connected with the intelligent home used in the home of the user, receives relevant data generated in the using process of the intelligent home, and directly imports the retrieved data into a data center;
(3) sending a corresponding smart home questionnaire to smart home users through a network, collecting the use data of the smart home, and directly importing the retrieved data into a data center;
(4) and directly inquiring related data of the intelligent home used by the intelligent home user through the customer service, and directly importing the data obtained by inquiry into a data center.
(2) The data center detects the received original data and performs primary screening on the data according to the integrity of the original data, wherein the primary screening standard is as follows:
i, collecting the original data continuously, for example, collecting the data of the same whole house of the same user for seven days or half a month;
II, the collected original data are complete, for example, the data generated by the smart home of the same model in different time and different environments:
and III, the collected original data are comprehensive, for example, the data generated when the smart home of the same model is matched with other smart homes for use.
(3) And after secondary screening, the remaining data needs to be screened again for the first time, the content screened for the second time is marked, and a special report is generated independently.
(4) Generating a corresponding statistical report from the secondarily screened intelligent household data, and generating a special report from the secondarily screened data; the generated statistical report and the special report automatically mark the data collection place and the data collection time.
(5) And sending the generated statistical report and the special report to a user and an expert for data verification, sending the report to a cloud platform after verification is correct, continuously storing data which are not verified in one period (one month or half month) in a data center for continuous verification, and automatically deleting the intelligent home data which are not verified in 3-8 periods.
(6) And the cloud platform stores the verified statistical report and the verified special report respectively, compares the received report with the existing report, clears the same report, compares files according to the marked collection place and the marked collection time after the corresponding report enters the cloud platform, and deletes repeated files.
It should be noted that, the embodiments 1, 2 and 3 are directed to areas with different temperature change speeds, the embodiment 1 is directed to an area with a relatively high speed, such as a desert area, the embodiment 2 is suitable for an area with normal temperature shift, such as Shanghai, and the embodiment 3 is suitable for an area with a relatively slow temperature change, such as Kunming;
when the intelligent home cloud platform collects data, an independent data center is arranged in each place, the data centers process local data, the integrity of the data can be guaranteed, the situation of data intersection is avoided, information is transmitted to the data centers and then transmitted to the cloud platform after being screened, the flow of cloud platform data can be reduced, the cost of large data storage and analysis is reduced, the server bandwidth and the user bandwidth of the cloud platform are improved, and therefore the speed of the cloud platform for controlling the intelligent furniture is improved;
in the information acquisition process of the intelligent home cloud platform, information is screened, incomplete data are removed, and a data generation report needs to be verified by experts and users, so that the accuracy of the data is further improved, the accuracy of information collection of the intelligent home cloud platform is improved, and the management and control effect of the intelligent home cloud platform is improved;
data generation report form needs through expert and user's verification, exchanges each other, and the situation that special report form exists is analyzed, and the problem that intelligent house cloud platform exists is discover to timely help people, improves intelligent house cloud platform's result of use, satisfies people to intelligent house cloud platform's requirement, and is comparatively practical.
The foregoing shows and describes the general principles and features of the present invention, together with the advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A data collection method of an intelligent home cloud platform is characterized by comprising the following steps: the method comprises the following steps:
(1) Collecting original data generated after the user uses the smart home, wherein the generation time of the original data is 0-30 days, and sending the collected original data to a data center;
(2) The data center detects the received original data and carries out primary screening on the data according to the integrity of the original data;
the criteria for one screening were:
i, coherent collection of original data;
II, the collected original data is complete:
III, the collected original data is comprehensive;
(3) Setting a normal intelligent household numerical range, comparing the data after primary screening with the range by the data center, and performing secondary screening;
(4) Generating a corresponding statistical report from the secondarily screened intelligent household data, and generating a special report from the secondarily screened data;
(5) The generated statistical report and the special report are sent to a user and an expert for data verification, and the report is sent to the cloud platform after the data is verified to be correct;
(6) And the cloud platform respectively stores the verified statistical report and the verified special report, compares the received report with the existing report and clears the same report.
2. The data collection method of the smart home cloud platform of claim 1, wherein: the raw data collected in step (1) is a complete individual.
3. The data collection method of the smart home cloud platform of claim 1, wherein: the channels for collecting the original data in the step (1) comprise:
(1) the intelligent home network system is connected with a network, intelligent home keywords are directly searched on the network, and retrieved data are directly imported into a data center;
(2) the intelligent home system is connected with the intelligent home used in the home of the user, receives relevant data generated in the using process of the intelligent home, and directly imports the retrieved data into a data center;
(3) sending a corresponding smart home questionnaire to smart home users through a network, collecting the use data of the smart home, and directly importing the retrieved data into a data center;
(4) and directly inquiring related data of the intelligent home used by the intelligent home user through the customer service, and directly importing the data obtained by inquiry into a data center.
4. The data collection method of the smart home cloud platform according to claim 1, wherein: in the step (3), the remaining data after the secondary screening needs to be screened again for the first time, the content screened out for the second time is marked, and a special report is generated independently.
5. The data collection method of the smart home cloud platform of claim 1, wherein: in the step (4), the generated statistical report and the special report are automatically marked with the data collection place and the data collection time.
6. The data collection method of the smart home cloud platform of claim 1, wherein: in the step (5), the data which is not verified in one period is continuously stored in the data center for continuous verification, and the intelligent household data which is not verified in 3-8 periods is automatically deleted.
7. The data collection method of the smart home cloud platform according to claim 1, wherein: in the step (6), after the corresponding report enters the cloud platform, file comparison is carried out according to the marked collection place and the marked collection time, and repeated files are deleted.
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