CN117097620A - Terminal resource intelligent supervision system and method based on big data - Google Patents
Terminal resource intelligent supervision system and method based on big data Download PDFInfo
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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Abstract
The invention relates to the field of resource supervision, in particular to a terminal resource intelligent supervision system and method based on big data, comprising the steps of obtaining historical operation records of various intelligent household devices; analyzing the priority of each intelligent home equipment after the intelligent home equipment is in an on state based on the data information of the intelligent home data in each history period; analyzing the network resource consumption state of the intelligent household equipment in the current period based on the historical terminal resource consumption data of the intelligent household equipment, and distributing the network bandwidth of the intelligent household equipment to obtain the predicted network bandwidth of the intelligent household equipment in the current period; based on the predicted network bandwidth of each intelligent home device in the current period, distributing the network bandwidth of each intelligent home device; and based on the priority of the intelligent home, performing intelligent regulation and control on the distributed network bandwidth of the intelligent home equipment.
Description
Technical Field
The invention relates to the field of resource supervision, in particular to a terminal resource intelligent supervision system and method based on big data.
Background
The large data is a massive, diversified and high-speed data set, and can be regarded as large data no matter unstructured, semi-structured and structured, and the large data mainly has the following characteristics, 1. The large data is usually in TB and PB, even some data can reach the processing capacity of the traditional data processing technology in EB units, 2. The diversity is large, the large data covers the data in various fields, the data diversity also makes the large data analysis more complex, 3. The real-time performance is realized, the generation and the transmission of the large data are fast, the data needs to be processed and analyzed in real time or is close to real time as much as possible, 4, the data relativity is realized, and the data in the large data often contains complex association relations including time sequence relations, network relations, space relations and the like.
At present, the intelligent household equipment is mainly allocated in a static mode, and resources cannot be allocated intelligently according to actual demands of users, so that the required resource amount of the intelligent household equipment is inconsistent with the allocated resource amount in actual use, and the use of the intelligent household equipment is seriously affected.
Disclosure of Invention
The invention aims to provide a terminal resource intelligent supervision system and method based on big data, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a terminal resource intelligent supervision method based on big data includes:
step S100: acquiring historical operation records of all intelligent home equipment; extracting data information of corresponding intelligent household equipment from the historical operation record; collecting data information of each intelligent home equipment in different history periods;
step S200: analyzing the priority of each intelligent home equipment after the intelligent home equipment is in an on state based on the data information of each intelligent home equipment in each history period;
step S300: acquiring historical terminal resource consumption data of intelligent household equipment; analyzing the network resource consumption state of the intelligent household equipment in the current period based on the historical terminal resource consumption data of the intelligent household equipment, and distributing the network bandwidth of the intelligent household equipment to obtain the predicted network bandwidth of the intelligent household equipment in the current period;
step S400: based on the predicted network bandwidth of each intelligent home device in the current period, distributing the network bandwidth of each intelligent home device; and based on the priority of the intelligent home, performing intelligent regulation and control on the distributed network bandwidth of the intelligent home equipment.
Further, step S100 includes:
step S101: when the intelligent home equipment logs in the intelligent home control system for the first time, sending a filling frame of the area where the intelligent home equipment is located to a user, and acquiring an area identifier of the intelligent home equipment set by the user;
step S102: acquiring a use record of the intelligent home equipment in each history period; acquiring a time point of opening the intelligent household equipment in the use record of the intelligent household equipment, and marking the time point as a mark time point corresponding to the use record; acquiring a marked time point of each use record of the intelligent home equipment;
step S103: obtaining a use record of the intelligent home equipment with the closest time distance from the current period, and marking the use record as a mark use record corresponding to the intelligent home equipment; setting a marking time length T ∝ The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a current period starting time point t a The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a time screening range t epsilon t of intelligent household equipment a -T ∝ ，t a ]The method comprises the steps of carrying out a first treatment on the surface of the When the marking time point of the marking use record of the intelligent household equipment is within the time screening range of the intelligent household equipment, the data information of the intelligent household equipment is reserved and marked as the marked intelligent household equipment;
step S104: when the marking time point of the marking use record of the intelligent household equipment is not in the time screening range of the intelligent household equipment, marking the intelligent household equipment as characteristic intelligent household equipment; acquiring the type of equipment to which the characteristic intelligent home equipment belongs; when the type of the equipment which the characteristic intelligent home equipment belongs to is the same as the type of the equipment which the characteristic intelligent home equipment belongs to, reserving data information corresponding to the characteristic intelligent home equipment, and marking the characteristic intelligent home equipment as first characteristic intelligent home equipment;
Step S105: the method comprises the steps of collecting data information of marked intelligent home equipment and first characteristic intelligent home equipment;
in the above steps, when the device type of the feature intelligent home device is the same as the device type of the mark intelligent home device, the data information corresponding to the feature intelligent home device is reserved, because if the data type of the feature intelligent home device is consistent with the data type of the mark intelligent home device, it can indicate that the intelligent home of the type is still being used, then the data information corresponding to the feature intelligent home device still has strong referential property to the intelligent home device in the current period, and the refined selection of the referred data information is beneficial to saving the time consumption of useless information.
Further, step S200 includes:
step S201: acquiring each use record in the history period of the marked intelligent household equipment, and accumulating the use time length corresponding to each use record to obtain the sum of the use time length of the marked intelligent household equipment in the history period; acquiring the sum of the using time of the marked intelligent home equipment in each history period;
step S202: the time distance between the historical period and the current period is recorded as the marking duration of the historical period; acquiring the marking time length corresponding to each history period; obtaining the maximum value of the time mark duration of each history period and marking as T l The method comprises the steps of carrying out a first treatment on the surface of the Calculating a first time influence factor w corresponding to a history period of the marked intelligent household equipment δ ：
Wherein T is γ Marking time length for marking history period of intelligent household equipment;
step S203: calculating a first priority value f for marking intelligent household equipment m ：
Wherein w is δi For marking intelligent householdPreparing a first time influence factor corresponding to the ith history period; j is the total number of history periods corresponding to the marked intelligent home equipment;the method comprises the steps of marking the sum of the use time length of the ith history period of the intelligent home equipment; />The sum of the using time of each intelligent home equipment in the ith history period is obtained;
step S204: acquiring the marked intelligent home equipment and the equipment type of the first characteristic intelligent home equipment; acquiring the total number of each usage record corresponding to each intelligent home device under the same device type; acquiring the total number of usage records corresponding to the intelligent home equipment in each history period; calculating a device type priority value D corresponding to the device type m ：
Wherein,recording the total number of the intelligent home equipment of the same equipment type in the x history period; s is S sum Recording the total number of the corresponding use records of each intelligent home equipment in the xth history period; t (T) l Marking a time mark duration maximum value for each history period; t (T) x Marking time length for the xth historical period; l is the total number of history periods;
step S205: setting an area data acquisition period, and acquiring the connection quantity of intelligent household equipment in an intelligent household control system in an area in the area data acquisition period; acquiring connection total quantity E of intelligent household equipment in an intelligent household control system in each region in a region data acquisition period sum The method comprises the steps of carrying out a first treatment on the surface of the Calculating a region priority value R of a region m ：
Wherein E is sum，m The connection quantity of the intelligent household equipment in the intelligent household control system is the connection quantity of the intelligent household equipment in the area data acquisition period.
Step S206: performing priority assignment on each marked intelligent home device according to the value of the first priority value of the marked intelligent home device, wherein the higher the value of the first priority value of the marked intelligent home device is, the higher the priority of the marked intelligent home device is, and the range of performing priority assignment on the marked intelligent home device is epsilon E [0, c ];
step S207: performing equipment priority assignment on the equipment type and the area based on the equipment type priority value corresponding to the equipment type and the area priority value of the area, wherein the priority assignment range of the equipment type is delta epsilon [0, d ]; the priority assignment range of the region is delta epsilon [0, b ]; wherein b+d=c;
Step S208: when the intelligent home equipment logs in the intelligent home control system for the first time in the current period, the equipment type and the area of the intelligent home equipment are obtained; taking the sum of the equipment type of the intelligent household equipment and the priority corresponding to the area where the equipment type of the intelligent household equipment is located as a priority value corresponding to the intelligent household equipment;
the higher the device type priority value corresponding to the device type in the above step, the higher the priority of the device type; the higher the region priority value corresponding to the region, the higher the region priority is, and the priority is assigned to the marked intelligent home equipment, so that the marked intelligent home equipment is assigned with the priority because the marked intelligent home equipment belongs to the intelligent home equipment which can be continuously used by a user in the current period, and when some intelligent home equipment is connected with the intelligent home control system for the first time, the priority at the time can be analyzed from the equipment type and the region where the equipment is located, so that the condition of simultaneously using the resource allocation to the intelligent home equipment can be scientifically and accurately processed.
Further, step S300 includes:
step S301: acquiring the corresponding terminal resource consumption of the marked intelligent home equipment in each history period; the terminal resource consumption is respectively the network flow consumed by uploading data by the intelligent home equipment and the network flow consumed by downloading data by the intelligent home equipment;
Step S302: acquiring an average value of network flow consumed by the marked intelligent home equipment for uploading data in a history period; acquiring an average value of network flow for marking the consumption of the downloaded data of the intelligent home equipment; calculating predicted uploading data consumption V of intelligent household equipment in current period up ：
Wherein z is the total number of history periods corresponding to the marked intelligent home equipment;marking the average value of network flow consumed by uploading data of the intelligent home equipment in the kth historical period;
calculating predicted downloading data consumption V of intelligent household equipment in current period down ：
Wherein,marking the average value of network flow consumed by the intelligent home equipment for downloading data in the kth historical period;
step S303: and analyzing the network bandwidth consumption of the marked intelligent home equipment in the current period based on the predicted uploading data consumption and the predicted downloading data consumption of the marked intelligent home equipment in the current period, and distributing the network bandwidth of the marked intelligent home equipment to obtain the predicted network bandwidth of the marked intelligent home equipment in the current period.
Further, step S400 includes:
step S401: obtaining the predicted network bandwidth of each marked intelligent home equipment in the current period; based on the predicted network bandwidth of each marked intelligent home equipment in the current period, the intelligent home control system distributes network bandwidth to each marked intelligent home equipment; acquiring the type of the equipment corresponding to the marked intelligent home equipment; acquiring a predicted network bandwidth average value of marked intelligent home equipment of the same equipment type;
Step S402: when new intelligent home equipment exists in the current period and is connected with the intelligent home control system for the first time, acquiring the area and equipment type of the intelligent home equipment; based on the equipment type of the intelligent home equipment, predicting a network bandwidth average value by using the marked intelligent home equipment of the same equipment type as the marked network bandwidth of the intelligent home equipment, and distributing the network bandwidth to the intelligent home equipment by an intelligent home control system;
step S403: when the network bandwidth of a plurality of intelligent household devices is insufficient in the current period, the network bandwidth of the intelligent household devices is sequentially redistributed from top to bottom according to the priority corresponding to each intelligent household device.
In order to better realize the method, the intelligent terminal resource monitoring system is also provided, and the monitoring system comprises a data information module, a device priority module, a predicted network bandwidth module and an intelligent regulation module;
the data information module is used for acquiring the historical operation records of all the intelligent household devices, extracting the data information of the intelligent household devices from the historical operation records and collecting the data information of all the intelligent household devices in different historical periods;
The device priority module is used for analyzing the priority of each intelligent home device after the intelligent home device is in an on state;
the prediction network bandwidth module is used for acquiring historical terminal resource consumption data of the intelligent household equipment, analyzing the network resource consumption state of the intelligent household equipment in the current period, and distributing the network bandwidth of the intelligent household equipment to obtain the prediction network bandwidth of the intelligent household equipment in the current period;
the intelligent regulation and control module is used for distributing network bandwidth of each intelligent home equipment; and based on the equipment priority of the intelligent home, intelligently regulating and controlling the distribution network bandwidth of the intelligent home equipment.
Further, the data information module comprises a data information screening unit and a data information unit;
the data information screening unit is used for acquiring the use records of the intelligent home equipment in each history period; when the marking time point of the marking use record of the intelligent household equipment is within the time screening range of the intelligent household equipment, the data information of the intelligent household equipment is reserved and marked as the marked intelligent household equipment;
and the data information unit is used for gathering the data information of the marked intelligent home equipment and the reserved first characteristic intelligent home equipment in each history period.
Further, the device priority module comprises a first priority unit and a priority unit;
the first priority unit is used for obtaining a long sum rectangle of marked intelligent home equipment used in each history period; calculating a first priority value of the marked intelligent home equipment;
the priority unit is used for calculating a device type priority value corresponding to the device type; calculating a region priority value of the region; performing priority assignment on each marked intelligent home device according to the numerical value of the first priority value of the marked intelligent home device; and taking the sum of the equipment type of the intelligent household equipment and the priority corresponding to the area as a priority value corresponding to the intelligent household equipment.
Further, the predicted network bandwidth module comprises a terminal resource unit and a predicted network bandwidth unit;
the terminal resource unit is used for acquiring the corresponding terminal resource consumption of the marked intelligent home equipment in each history period; the terminal resource consumption is respectively the network flow consumed by uploading data by the intelligent home equipment and the network flow consumed by downloading data by the intelligent home equipment;
the prediction network bandwidth unit is used for analyzing the network bandwidth consumption of the marked intelligent home equipment in the current period and distributing the network bandwidth of the marked intelligent home equipment to obtain the prediction network bandwidth of the marked intelligent home equipment in the current period.
Further, the intelligent regulation and control module comprises a network bandwidth allocation unit and an intelligent regulation and control unit;
the network bandwidth unit is used for acquiring the equipment type corresponding to the marked intelligent home equipment; acquiring a predicted network bandwidth average value of marked intelligent home equipment of the same equipment type; based on the equipment type of the intelligent home equipment, predicting a network bandwidth average value by using the marked intelligent home equipment of the same equipment type as the marked network bandwidth of the intelligent home equipment, and distributing the network bandwidth to the intelligent home equipment by an intelligent home control system;
the intelligent regulation and control unit is used for reallocating the network bandwidth of the intelligent home equipment from high to low according to the priority corresponding to each intelligent home equipment when the network bandwidth of a plurality of intelligent home equipment is insufficient in the current period, and allocating the network bandwidth to the intelligent home equipment with low priority value after the network bandwidth allocation of the intelligent home equipment with high priority value is completed.
Compared with the prior art, the invention has the following beneficial effects: according to the method and the system, the intelligent distribution of the resources of the intelligent household equipment is realized, when the intelligent household equipment is insufficient in resources, the resource supply can be regulated and controlled in real time according to actual conditions, the normal use of the intelligent household equipment is guaranteed to the greatest extent, the use experience of a user is improved, and when the resource problems occur to a plurality of intelligent household equipment at the same time, the intelligent household equipment is sequentially subjected to resource management according to the calculated priority, so that the regulation and control process is more reasonable and scientific.
Drawings
The drawings are intended to provide a further understanding of the invention and constitute a part of this specification and, together with the examples of the invention, serve to explain the invention and are not intended to limit the invention. In the drawings:
FIG. 1 is a flow chart of a method of the intelligent terminal resource supervision system and method based on big data of the present invention;
fig. 2 is a schematic block diagram of a terminal resource intelligent supervision system and method based on big data.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only embodiments of the location of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: a terminal resource intelligent supervision method based on big data includes:
step S100: acquiring historical operation records of all intelligent home equipment; extracting data information of corresponding intelligent household equipment from the historical operation record; collecting data information of each intelligent home equipment in different history periods;
Wherein, step S100 includes:
step S101: when the intelligent home equipment logs in the intelligent home control system for the first time, a relevant table of the area where the intelligent home equipment is located is sent to a user, and the area where the intelligent home equipment is located is identified based on the relevant table, so that an area identifier of the intelligent home equipment set by the user is obtained;
step S102: acquiring a use record of the intelligent home equipment in each history period; acquiring a time point when a user starts to use the intelligent household equipment in the intelligent household equipment use record, and recording the time point as a mark time point corresponding to the use record; acquiring a marked time point of each use record of the intelligent home equipment;
step S103: obtaining intelligent household equipment and current cycle timeThe nearest use record is recorded as a mark use record corresponding to the intelligent household equipment; setting a marking time length T ∝ The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a current period starting time point t a The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a time screening range t epsilon t of intelligent household equipment a -T ∝ ，t a ]The method comprises the steps of carrying out a first treatment on the surface of the When the marking time point of the marking use record of the intelligent household equipment is within the time screening range of the intelligent household equipment, the data information of the intelligent household equipment is reserved and marked as the marked intelligent household equipment;
Step S104: when the marking time point of the marking use record of the intelligent household equipment is not in the time screening range of the intelligent household equipment, marking the intelligent household equipment as characteristic intelligent household equipment; acquiring the type of equipment to which the characteristic intelligent home equipment belongs; when the type of the equipment which the characteristic intelligent home equipment belongs to is the same as the type of the equipment which the characteristic intelligent home equipment belongs to, reserving data information corresponding to the characteristic intelligent home equipment, and marking the data information as first characteristic intelligent home equipment;
step S105: the method comprises the steps that data information of marked intelligent home equipment and reserved first characteristic intelligent home equipment in each history period is collected;
step S200: analyzing the priority of each intelligent home equipment after the intelligent home equipment is in an on state based on the data information of each intelligent home equipment in each history period;
wherein, step S200 includes:
step S201: acquiring each use record in the history period of the marked intelligent household equipment, and accumulating the use time length corresponding to each use record to obtain the sum of the use time length of the marked intelligent household equipment in the history period; acquiring the sum of the using time of the marked intelligent home equipment in each history period;
Step S202: the time distance between the historical period and the current period is recorded as the marking duration of the historical period; acquiring the marking time length corresponding to each history period; obtaining the maximum value of the time mark duration of each history period and marking as T l The method comprises the steps of carrying out a first treatment on the surface of the Calculating a first time influence factor w corresponding to a history period of the marked intelligent household equipment δ ：
Wherein T is γ Marking time length for marking history period of intelligent household equipment;
step S203: calculating a first priority value f for marking intelligent household equipment m ：
Wherein w is δi The method comprises the steps of marking a first time influence factor corresponding to an ith history period of intelligent household equipment; j is the total number of history periods corresponding to the marked intelligent home equipment;the method comprises the steps of marking the sum of the use time length of the ith history period of the intelligent home equipment; />The sum of the using time of each intelligent home equipment in the ith history period is obtained;
for example, the first time influence factors corresponding to the 1 st, 2 nd and 3 rd historical periods of the marked intelligent home equipment are respectively 0.2, 0.3 and 0.4; marking the total use time length of the 1 st, 2 nd and 3 rd history periods of the intelligent household equipment as 2h, 3h and 2h respectively; the sum of the using time length of each intelligent household device in the 1 st, 2 nd and 3 rd historical periods is 20h, 30h and 20h respectively; calculating a first priority value for marking smart home devices
Step S204: acquiring the marked intelligent home equipment and the equipment type of the first characteristic intelligent home equipment; acquisition of the sameThe total number of each use record corresponding to each intelligent home equipment under one equipment type; acquiring the total number of usage records corresponding to the intelligent home equipment in each history period; calculating a device type priority value D corresponding to the device type m ：
Wherein,recording the total number of the intelligent home equipment of the same equipment type in the x history period; s is S sum Recording the total number of the corresponding use records of each intelligent home equipment in the xth history period; t (T) l Marking a time mark duration maximum value for each history period; t (T) x Marking time length for the xth historical period; l is the total number of history periods;
step S205: setting an area data acquisition period, and acquiring the connection quantity of intelligent household equipment in an intelligent household control system in an area in the area data acquisition period; acquiring connection total quantity E of intelligent household equipment in an intelligent household control system in each region in a region data acquisition period sum The method comprises the steps of carrying out a first treatment on the surface of the Calculating a region priority value R of a region m ：
Wherein E is sum，m The connection quantity of the intelligent household equipment in the intelligent household control system is the connection quantity of the intelligent household equipment in the area data acquisition period.
Step S206: performing priority assignment on each marked intelligent home device according to the value of the first priority value of the marked intelligent home device, wherein the higher the value of the first priority value of the marked intelligent home device is, the higher the priority of the marked intelligent home device is, and the range of performing priority assignment on the marked intelligent home device is epsilon E [0, c ];
step S207: performing equipment priority assignment on the equipment type and the area based on the equipment type priority value corresponding to the equipment type and the area priority value of the area, wherein the priority assignment range of the equipment type is delta epsilon [0, d ]; the priority assignment range of the region is delta epsilon [0, b ]; wherein b+d=c;
step S208: when the intelligent home equipment logs in the intelligent home control system for the first time in the current period, the equipment type and the area of the intelligent home equipment are obtained; taking the sum of the equipment type of the intelligent household equipment and the priority corresponding to the area where the equipment type of the intelligent household equipment is located as a priority value corresponding to the intelligent household equipment;
step S300: acquiring historical terminal resource consumption data of intelligent household equipment; analyzing the network resource consumption state of the intelligent household equipment in the current period based on the historical terminal resource consumption data of the intelligent household equipment, and distributing the network bandwidth of the intelligent household equipment to obtain the predicted network bandwidth of the intelligent household equipment in the current period;
Wherein, step S300 includes:
step S301: acquiring the corresponding terminal resource consumption of the marked intelligent home equipment in each history period; the terminal resource consumption is respectively the network flow consumed by uploading data by the intelligent home equipment and the network flow consumed by downloading data by the intelligent home equipment;
step S302: acquiring an average value of network flow consumed by the marked intelligent home equipment for uploading data in a history period; acquiring an average value of network flow for marking the consumption of the downloaded data of the intelligent home equipment; calculating predicted uploading data consumption V of intelligent household equipment in current period up ：
Wherein z is the total number of history periods corresponding to the marked intelligent home equipment;for the kth history weekMarking an average value of network flow consumed by uploading data by the intelligent home equipment in an period;
calculating predicted downloading data consumption V of intelligent household equipment in current period down ：
Wherein,marking the average value of network flow consumed by the intelligent home equipment for downloading data in the kth historical period;
step S303: based on the predicted uploading data consumption and the predicted downloading data consumption of the marked intelligent home equipment in the current period, analyzing the network bandwidth consumption of the marked intelligent home equipment in the current period, and distributing the network bandwidth of the marked intelligent home equipment to obtain the predicted network bandwidth of the marked intelligent home equipment in the current period;
Step S400: based on the predicted network bandwidth of each intelligent home device in the current period, distributing the network bandwidth of each intelligent home device; based on the priority of the intelligent home, intelligently regulating and controlling the bandwidth of the distribution network of the intelligent home equipment;
wherein, step S400 includes:
step S401: obtaining the predicted network bandwidth of each marked intelligent home equipment in the current period; based on the predicted network bandwidth of each marked intelligent home equipment in the current period, the intelligent home control system distributes network bandwidth to each marked intelligent home equipment; acquiring the type of the equipment corresponding to the marked intelligent home equipment; acquiring a predicted network bandwidth average value of marked intelligent home equipment of the same equipment type;
step S402: when new intelligent home equipment exists in the current period and is connected with the intelligent home control system for the first time, acquiring the area and equipment type of the intelligent home equipment; based on the equipment type of the intelligent home equipment, predicting a network bandwidth average value by using the marked intelligent home equipment of the same equipment type as the marked network bandwidth of the intelligent home equipment, and distributing the network bandwidth to the intelligent home equipment by an intelligent home control system;
Step S403: when a plurality of intelligent home equipment network bandwidths are insufficient in the current period, sequentially reallocating the network bandwidths of the intelligent home equipment from top to bottom according to the priorities corresponding to the intelligent home equipment;
in order to better realize the method, the intelligent terminal resource monitoring system is also provided, and the monitoring system comprises a data information module, a device priority module, a predicted network bandwidth module and an intelligent regulation module;
the data information module is used for acquiring the historical operation records of all the intelligent household devices, extracting the data information of the intelligent household devices from the historical operation records and collecting the data information of all the intelligent household devices in different historical periods;
the device priority module is used for analyzing the priority of each intelligent home device after the intelligent home device is in an on state;
the prediction network bandwidth module is used for acquiring historical terminal resource consumption data of the intelligent household equipment, analyzing the network resource consumption state of the intelligent household equipment in the current period, and distributing the network bandwidth of the intelligent household equipment to obtain the prediction network bandwidth of the intelligent household equipment in the current period;
The intelligent regulation and control module is used for distributing network bandwidth of each intelligent home equipment; based on the equipment priority of the intelligent home, intelligently regulating and controlling the distribution network bandwidth of the intelligent home equipment;
the data information module comprises a data information screening unit and a data information unit;
the data information screening unit is used for acquiring the use records of the intelligent home equipment in each history period; when the marking time point of the marking use record of the intelligent household equipment is within the time screening range of the intelligent household equipment, the data information of the intelligent household equipment is reserved and marked as the marked intelligent household equipment;
and the data information unit is used for gathering the data information of the marked intelligent home equipment and the reserved first characteristic intelligent home equipment in each history period.
Further, the device priority module comprises a first priority unit and a priority unit;
the first priority unit is used for obtaining a long sum rectangle of marked intelligent home equipment used in each history period; calculating a first priority value of the marked intelligent home equipment;
the priority unit is used for calculating a device type priority value corresponding to the device type; calculating a region priority value of the region; performing priority assignment on each marked intelligent home device according to the numerical value of the first priority value of the marked intelligent home device; taking the sum of the equipment type of the intelligent household equipment and the priority corresponding to the area where the equipment type of the intelligent household equipment is located as a priority value corresponding to the intelligent household equipment;
The prediction network bandwidth module comprises a terminal resource unit and a prediction network bandwidth unit;
the terminal resource unit is used for acquiring the corresponding terminal resource consumption of the marked intelligent home equipment in each history period; the terminal resource consumption is respectively the network flow consumed by uploading data by the intelligent home equipment and the network flow consumed by downloading data by the intelligent home equipment;
the prediction network bandwidth unit is used for analyzing the network bandwidth consumption of the marked intelligent home equipment in the current period and distributing the network bandwidth of the marked intelligent home equipment to obtain the prediction network bandwidth of the marked intelligent home equipment in the current period;
the intelligent regulation and control module comprises a network bandwidth allocation unit and an intelligent regulation and control unit;
the network bandwidth unit is used for acquiring the equipment type corresponding to the marked intelligent home equipment; acquiring a predicted network bandwidth average value of marked intelligent home equipment of the same equipment type; based on the equipment type of the intelligent home equipment, predicting a network bandwidth average value by using the marked intelligent home equipment of the same equipment type as the marked network bandwidth of the intelligent home equipment, and distributing the network bandwidth to the intelligent home equipment by an intelligent home control system;
The intelligent regulation and control unit is used for reallocating the network bandwidth of the intelligent home equipment from high to low according to the priority corresponding to each intelligent home equipment when the network bandwidth of a plurality of intelligent home equipment is insufficient in the current period, and allocating the network bandwidth to the intelligent home equipment with low priority value after the network bandwidth allocation of the intelligent home equipment with high priority value is completed.
It should be noted that in this document relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The intelligent terminal resource supervision method based on big data is characterized by comprising the following steps:
step S100: acquiring historical operation records of all intelligent home equipment; extracting data information of corresponding intelligent household equipment from the historical operation record; collecting data information of each intelligent home equipment in different history periods;
step S200: analyzing the priority of each intelligent home equipment after the intelligent home equipment is in an on state based on the data information of each intelligent home equipment in each history period;
step S300: acquiring historical terminal resource consumption data of intelligent household equipment; analyzing the network resource consumption state of the intelligent household equipment in the current period based on the historical terminal resource consumption data of the intelligent household equipment, and distributing the network bandwidth of the intelligent household equipment to obtain the predicted network bandwidth of the intelligent household equipment in the current period;
step S400: based on the predicted network bandwidth of each intelligent home device in the current period, distributing the network bandwidth of each intelligent home device; and based on the priority of the intelligent home, performing intelligent regulation and control on the distributed network bandwidth of the intelligent home equipment.
2. The intelligent terminal resource supervision method based on big data according to claim 1, wherein the step S100 includes:
step S101: when the intelligent home equipment logs in the intelligent home control system for the first time, sending a filling frame of the area where the intelligent home equipment is located to a user, and acquiring an area identifier of the intelligent home equipment set by the user;
step S102: acquiring a use record of the intelligent home equipment in each history period; acquiring a time point of opening the intelligent household equipment in the use record of the intelligent household equipment, and marking the time point as a mark time point corresponding to the use record; acquiring a marked time point of each use record of the intelligent home equipment;
step S103: obtaining a use record of the intelligent home equipment with the closest time distance from the current period, and marking the use record as a mark use record corresponding to the intelligent home equipment; setting a marking time length T ∝ The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a current period starting time point t a The method comprises the steps of carrying out a first treatment on the surface of the Acquiring a time screening range t epsilon t of intelligent household equipment a -T ∝ ，t a ]The method comprises the steps of carrying out a first treatment on the surface of the When intelligent homeMarking the equipment, namely reserving data information of the intelligent household equipment in the time screening range of the intelligent household equipment at a recorded marking time point, and marking the data information as the marked intelligent household equipment;
Step S104: when the marking time point of the marking use record of the intelligent household equipment is not in the time screening range of the intelligent household equipment, marking the intelligent household equipment as characteristic intelligent household equipment; acquiring the type of equipment to which the characteristic intelligent home equipment belongs; when the type of the equipment which the characteristic intelligent home equipment belongs to is the same as the type of the equipment which the characteristic intelligent home equipment belongs to, reserving data information corresponding to the characteristic intelligent home equipment, and marking the characteristic intelligent home equipment as first characteristic intelligent home equipment;
step S105: and collecting the data information of the marked intelligent home equipment and the first characteristic intelligent home equipment.
3. The intelligent terminal resource supervision method based on big data according to claim 2, wherein the step S200 includes:
step S201: acquiring each use record in the history period of the marked intelligent household equipment, and accumulating the use time length corresponding to each use record to obtain the sum of the use time length of the marked intelligent household equipment in the history period; acquiring the sum of the using time of the marked intelligent home equipment in each history period;
step S202: the time distance between the historical period and the current period is recorded as the marking duration of the historical period; acquiring the marking time length corresponding to each history period; obtaining the maximum value of the time mark duration of each history period and marking as T l The method comprises the steps of carrying out a first treatment on the surface of the Calculating a first time influence factor w corresponding to a history period of the marked intelligent household equipment δ ：
Wherein T is γ Marking time length for marking history period of intelligent household equipment;
step S203: calculating a first priority value f for marking intelligent household equipment m ：
Wherein w is δi The method comprises the steps of marking a first time influence factor corresponding to an ith history period of intelligent household equipment; j is the total number of history periods corresponding to the marked intelligent home equipment;the method comprises the steps of marking the sum of the use time length of the ith history period of the intelligent home equipment; />The sum of the using time of each intelligent home equipment in the ith history period is obtained;
step S204: acquiring the marked intelligent home equipment and the equipment type of the first characteristic intelligent home equipment; acquiring the total number of each usage record corresponding to each intelligent home device under the same device type; acquiring the total number of usage records corresponding to the intelligent home equipment in each history period; calculating a device type priority value D corresponding to the device type m ：
Wherein,recording the total number of the intelligent home equipment of the same equipment type in the x history period; s is S sum Recording the total number of the corresponding use records of each intelligent home equipment in the xth history period; t (T) l Marking a time mark duration maximum value for each history period; t (T) x Marking time length for the xth historical period; l is the history periodTotal number;
step S205: setting an area data acquisition period, and acquiring the connection quantity of intelligent household equipment in an intelligent household control system in an area in the area data acquisition period; acquiring connection total quantity E of intelligent household equipment in an intelligent household control system in each region in a region data acquisition period sum The method comprises the steps of carrying out a first treatment on the surface of the Calculating a region priority value R of a region m ：
Wherein E is sum,m And the connection quantity of the intelligent household equipment in the intelligent household control system is the connection quantity of the intelligent household equipment in the area data acquisition period.
Step S206: performing priority assignment on each marked intelligent home device according to the value of the first priority value of the marked intelligent home device, wherein the higher the value of the first priority value of the marked intelligent home device is, the higher the priority of the marked intelligent home device is, and the range of performing priority assignment on the marked intelligent home device is epsilon E [0, c ];
step S207: performing equipment priority assignment on the equipment type and the area based on the equipment type priority value corresponding to the equipment type and the area priority value of the area, wherein the priority assignment range of the equipment type is delta epsilon [0, d ]; the priority assignment range of the region is delta epsilon [0, b ]; wherein b+d=c;
Step S208: when the intelligent home equipment logs in the intelligent home control system for the first time in the current period, the equipment type and the area of the intelligent home equipment are obtained; and taking the sum of the equipment type of the intelligent household equipment and the priority corresponding to the area as a priority value corresponding to the intelligent household equipment.
4. The intelligent terminal resource supervision method based on big data according to claim 3, wherein the step S300 includes:
step S301: acquiring the corresponding terminal resource consumption of the marked intelligent home equipment in each history period; the terminal resource consumption is respectively the network flow consumed by uploading data by the intelligent home equipment and the network flow consumed by downloading data by the intelligent home equipment;
step S302: acquiring an average value of network flow consumed by the marked intelligent home equipment for uploading data in a history period; acquiring an average value of network flow for marking the consumption of the downloaded data of the intelligent home equipment; calculating predicted uploading data consumption V of intelligent household equipment in current period up ：
Wherein z is the total number of history periods corresponding to the marked intelligent home equipment;marking the average value of network flow consumed by uploading data of the intelligent home equipment in the kth historical period;
Calculating predicted downloading data consumption V of intelligent household equipment in current period down ：
Wherein,marking the average value of network flow consumed by the intelligent home equipment for downloading data in the kth historical period;
step S303: and analyzing the network bandwidth consumption of the marked intelligent home equipment in the current period based on the predicted uploading data consumption and the predicted downloading data consumption of the marked intelligent home equipment in the current period, and distributing the network bandwidth of the marked intelligent home equipment to obtain the predicted network bandwidth of the marked intelligent home equipment in the current period.
5. The intelligent terminal resource supervision method based on big data according to claim 1, wherein the step S400 includes:
step S401: obtaining the predicted network bandwidth of each marked intelligent home equipment in the current period; based on the predicted network bandwidth of each marked intelligent home equipment in the current period, the intelligent home control system distributes network bandwidth to each marked intelligent home equipment; acquiring the type of the equipment corresponding to the marked intelligent home equipment; acquiring a predicted network bandwidth average value of marked intelligent home equipment of the same equipment type;
Step S402: when new intelligent home equipment exists in the current period and is connected with the intelligent home control system for the first time, acquiring the area and equipment type of the intelligent home equipment; based on the equipment type of the intelligent home equipment, predicting a network bandwidth average value by using the marked intelligent home equipment of the same equipment type as the marked network bandwidth of the intelligent home equipment, and distributing the network bandwidth to the intelligent home equipment by an intelligent home control system;
step S403: when the network bandwidth of a plurality of intelligent household devices is insufficient in the current period, the network bandwidth of the intelligent household devices is sequentially redistributed from top to bottom according to the priority corresponding to each intelligent household device.
6. A terminal resource intelligent supervision system applied to the terminal resource intelligent supervision method based on big data in any of claims 1-5, wherein the supervision system comprises a data information module, a device priority module, a predicted network bandwidth module and an intelligent regulation module;
the data information module is used for acquiring the historical operation records of all intelligent household devices, extracting the data information of the intelligent household devices from the historical operation records, and collecting the data information of all the intelligent household devices in different historical periods;
The equipment priority module is used for analyzing the priority of each intelligent home equipment after the intelligent home equipment is in an on state;
the prediction network bandwidth module is used for acquiring historical terminal resource consumption data of the intelligent home equipment, analyzing the network resource consumption state of the intelligent home equipment in the current period, and distributing the network bandwidth of the intelligent home equipment to obtain the prediction network bandwidth of the intelligent home equipment in the current period;
the intelligent regulation and control module is used for distributing network bandwidth of each intelligent home equipment; and based on the equipment priority of the intelligent home, intelligently regulating and controlling the distribution network bandwidth of the intelligent home equipment.
7. The intelligent terminal resource supervision method according to claim 6, wherein the data information module comprises a data information screening unit and a data information unit;
the data information screening unit is used for acquiring the use records of the intelligent home equipment in each history period; when the marking time point of the marking use record of the intelligent household equipment is within the time screening range of the intelligent household equipment, the data information of the intelligent household equipment is reserved and marked as the marked intelligent household equipment;
The data information unit is used for gathering the data information of the marked intelligent home equipment and the reserved first characteristic intelligent home equipment in each history period.
8. The intelligent terminal resource supervision method according to claim 6, wherein the device priority module includes a first priority unit and a priority unit;
the first priority unit is used for obtaining a long sum rectangle of marked intelligent home equipment used in each history period; calculating a first priority value of the marked intelligent home equipment;
the priority unit is used for calculating a device type priority value corresponding to the device type; calculating a region priority value of the region; performing priority assignment on each marked intelligent home device according to the numerical value of the first priority value of the marked intelligent home device; and taking the sum of the equipment type of the intelligent household equipment and the priority corresponding to the area as a priority value corresponding to the intelligent household equipment.
9. The intelligent terminal resource supervision method according to claim 6, wherein the predicted network bandwidth module comprises a terminal resource unit and a predicted network bandwidth unit;
The terminal resource unit is used for acquiring corresponding terminal resource consumption of the marked intelligent home equipment in each history period; the terminal resource consumption is respectively the network flow consumed by uploading data by the intelligent home equipment and the network flow consumed by downloading data by the intelligent home equipment;
the prediction network bandwidth unit is used for analyzing the network bandwidth consumption of the marked intelligent home equipment in the current period and distributing the network bandwidth of the marked intelligent home equipment to obtain the prediction network bandwidth of the marked intelligent home equipment in the current period.
10. The intelligent terminal resource supervision method according to claim 6, wherein the intelligent regulation module comprises a network bandwidth allocation unit and an intelligent regulation unit;
the network bandwidth unit is used for acquiring the type of the equipment corresponding to the marked intelligent home equipment; acquiring a predicted network bandwidth average value of marked intelligent home equipment of the same equipment type; based on the equipment type of the intelligent home equipment, predicting a network bandwidth average value by using the marked intelligent home equipment of the same equipment type as the marked network bandwidth of the intelligent home equipment, and distributing the network bandwidth to the intelligent home equipment by an intelligent home control system;
The intelligent regulation and control unit is used for reallocating the network bandwidth of the intelligent home equipment from high to low according to the priority corresponding to each intelligent home equipment when the network bandwidth of a plurality of intelligent home equipment is insufficient in the current period, and allocating the network bandwidth to the intelligent home equipment with low priority value after the network bandwidth allocation of the intelligent home equipment with high priority value is completed.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117270412A (en) * | 2023-11-23 | 2023-12-22 | 松原市何悦科技有限公司 | Intelligent home control system based on wireless communication technology |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117270412A (en) * | 2023-11-23 | 2023-12-22 | 松原市何悦科技有限公司 | Intelligent home control system based on wireless communication technology |
| CN117270412B (en) * | 2023-11-23 | 2024-03-19 | 松原市何悦科技有限公司 | Intelligent home control system based on wireless communication technology |
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