CN113110194A - Intelligent house control method and system based on Internet of things - Google Patents
Intelligent house control method and system based on Internet of things Download PDFInfo
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- CN113110194A CN113110194A CN202110442529.9A CN202110442529A CN113110194A CN 113110194 A CN113110194 A CN 113110194A CN 202110442529 A CN202110442529 A CN 202110442529A CN 113110194 A CN113110194 A CN 113110194A
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
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Abstract
The invention discloses a smart house control method and system based on the Internet of things, wherein the method comprises the following steps: the method comprises the steps of collecting current environment parameters inside a target house, uploading the current environment parameters to a preset Internet of things server, generating working state adjusting requests of all household controlled equipment aiming at the current environment parameters by using the preset Internet of things server, transmitting the working state adjusting requests of all household controlled equipment to handheld terminal equipment of a target user, receiving feedback instructions of the target user on the working state adjusting requests of all household controlled equipment, and adaptively adjusting the current working state of all household controlled equipment according to the feedback instructions. When the target user is not at home, such as working or going out, the environmental parameters in the target house can be intelligently adjusted, so that the target user can keep a stable and appropriate environmental coefficient in the target house when returning to the target house, and the experience of the target user is improved.
Description
Technical Field
The invention relates to the technical field of intelligent control of household equipment, in particular to a smart house control method and system based on the Internet of things.
Background
With the continuous improvement of the living standard and the national technology level of people, the word of intellectualization in the daily life of people is increasingly popularized to daily use equipment, and an intelligent home (HomeAutomation) is a modern living system formed on the basis of a traditional house and assisted by an internet of things communication technology, an automatic control technology and an artificial intelligence technology. The intelligent home is mature day by day and brings great convenience for modern fast-paced life, good, comfortable and intelligent living environment can be provided for users, more and more internet companies including Hua and millet in China provide intelligent home equipment for the users, the users only need to connect each intelligent home equipment with terminals such as mobile phones in a Bluetooth, wireless or infrared mode when using, the working state of each intelligent home equipment can be controlled through the terminals, the life experience of the users is greatly enriched, but the method has the following defects: when a user goes to work or goes out, when the environmental parameters in the house are abnormal, the intelligent home devices cannot be intelligently started to improve the environmental parameters, and the environmental parameters can be improved only through the terminal held by the user when the user returns to the house, so that the experience of the user is reduced.
Disclosure of Invention
In view of the above-mentioned problems, the present invention provides a smart home control method and system based on the internet of things, which are used to solve the problems mentioned in the background art that when a user is on duty or out of a house, when environmental parameters in the house are abnormal, each smart home device cannot be intelligently turned on to improve the environmental parameters, and only when the user returns to the house, the environmental parameters can be improved through a terminal held by the user, so that the user experience is reduced.
An intelligent residence control method based on the Internet of things comprises the following steps:
acquiring current environmental parameters inside a target house, and uploading the current environmental parameters to a preset Internet of things server;
generating a working state adjusting request of each household controlled device aiming at the current environment parameter by using the preset Internet of things server;
transmitting the working state adjusting requests of the various household controlled devices to the handheld terminal device of the target user;
and receiving a feedback instruction of the target user for the working state adjustment request of each household controlled device, and adaptively adjusting the current working state of each household controlled device according to the feedback instruction.
Preferably, the acquiring current environmental parameters inside the target residence and uploading the current environmental parameters to a preset internet of things server includes:
detecting the temperature, the illumination intensity and the air freshness inside the target house;
determining the temperature, the illumination intensity and the air freshness as current environmental parameters inside a target house;
and connecting with the preset Internet of things server, and uploading the current environmental parameters to the preset physical network server.
Preferably, before the preset internet of things server is used to generate the operating state adjustment request of each home controlled device for the current environmental parameter, the method further includes:
acquiring standard environmental parameters of different time periods in a target house in a normal state;
carrying out statistical arrangement on the standard environmental parameters at different time intervals to obtain a normal environmental parameter interval in the target house;
and uploading the normal environment parameter interval to a preset Internet of things server.
Preferably, before the preset internet of things server is used to generate the operating state adjustment request of each home controlled device for the current environmental parameter, the method further includes:
determining a functional characteristic of each home controlled device;
attributing target home controlled devices having similar functional characteristics to a unified functional device;
connecting each target household controlled device in each type of uniform function device to the preset Internet of things server in a preset connection mode;
and configuring a common working node for a plurality of target household controlled devices in each type of uniform function device in the preset Internet of things server.
Preferably, the generating, by using the preset internet of things server, the working state adjustment request of each household controlled device for the current environmental parameter includes:
acquiring the current temperature, the current illumination intensity and the current air freshness in the current environmental parameters;
determining whether the current temperature is in a normal temperature interval corresponding to a normal environment parameter interval, if so, not needing subsequent operation, otherwise, determining whether the current temperature is in an overproof condition or an unqualified condition, if the current temperature is in the overproof condition, generating a refrigeration instruction of temperature regulating equipment, and if the current temperature is in the unqualified condition, generating a heating instruction of the temperature regulating equipment;
confirming whether the current illumination intensity is in a normal illumination intensity interval corresponding to a normal environment parameter interval, if so, not needing to carry out subsequent operation, otherwise, generating an illumination instruction of the illumination device;
confirming whether the current air freshness is in a normal air freshness interval corresponding to a normal environment parameter interval, if so, not needing to carry out subsequent operation, and otherwise, generating an air freshness instruction of air freshening equipment;
and generating a working state adjusting request of each target household controlled device in the target uniform function device according to the refrigerating instruction, the heating instruction, the lighting instruction or the air freshening instruction.
Preferably, after the preset internet of things server is used to generate the operating state adjustment request of each home controlled device for the current environment parameter, before the operating state adjustment request of each home controlled device is transmitted to the handheld terminal device of the target user, the method further includes:
generating control information of each target household controlled device, and acquiring current load information of the preset Internet of things server;
predicting the collision probability of a plurality of target household controlled devices when the target household controlled devices operate simultaneously according to the control information of each target household controlled device and the current load information of a preset Internet of things server;
determining whether the conflict probability is greater than or equal to a preset probability, if so, determining that the working state adjustment request of each target household controlled device in the target uniform function device is qualified, otherwise, determining that the working state adjustment request of each target household controlled device in the target uniform function device is unqualified;
when the working state adjusting request of each household controlled device is unqualified, the power consumption and the function effect of each target household controlled device are obtained;
determining the use priority of each target household controlled device according to the power consumption and the functional effect of the target household controlled device;
the screening target home controlled devices having the largest and the second largest use priority levels are confirmed as home controlled devices to be started.
Preferably, the receiving a feedback instruction of the target user for the adjustment request of the working state of each home-controlled device, and adaptively adjusting the current working state of each home-controlled device according to the feedback instruction includes:
analyzing a feedback instruction of the target user for the working state adjustment request of each household controlled device to obtain an execution instruction of the target user for each household controlled device;
and starting or closing each household controlled device according to the execution instruction of the target user for each household controlled device.
Preferably, the predicting the collision probability of the multiple target household controlled devices in the simultaneous operation according to the control information of each target household controlled device and the current load information of the preset internet of things server includes:
acquiring working parameter data of each target household controlled device in a normal working state according to the control information of each target household controlled device;
constructing a correlation matrix among the target household controlled devices according to the working parameter data of each target household controlled device in the normal working state;
acquiring the used time length and the maintenance record of each target household controlled device;
determining the reliability of each target household controlled device according to the use duration and the maintenance record of each target household controlled device;
quantifying the reliability of each target household controlled device by using a correlation matrix among the target household controlled devices;
acquiring maximum load information of a preset Internet of things server;
determining a conflict index between the preset Internet of things server and the control equipment by using the maximum load information of the preset Internet of things server and the preset average resource usage amount of the household controlled equipment;
determining a control mode of the preset Internet of things server for control setting according to a conflict index between the preset Internet of things server and the control equipment;
determining the probability of independent and stable work of each target household controlled device according to the control mode of the preset Internet of things server between control settings and the quantized reliability of each target household controlled device;
calculating the potential collision probability of the multiple target household controlled devices when the multiple target household controlled devices work simultaneously according to the probability that the target household controlled devices work independently and stably;
subtracting the current load information from the maximum load information of the preset Internet of things server to obtain available load information of the preset Internet of things server;
determining the number threshold of the target household controlled equipment in a normal working state in unit time according to available load information of a preset Internet of things server, the potential collision probability when a plurality of target household controlled equipment simultaneously work and the target resource usage amount when each target household controlled equipment works;
and predicting the collision probability of the multiple target household controlled devices in the simultaneous operation according to the quantity threshold value.
Preferably, the determining of the use priority according to the power consumption amount and the functional effect of each target home controlled device includes:
determining the working efficiency of each target household controlled device according to the functional effect of the target household controlled device;
generating target function tasks according to target function characteristics of a plurality of target household controlled devices and current environment parameters;
and calculating the completion degree of the target household controlled equipment to the target function task in the period according to the working efficiency of each target household controlled equipment:
wherein k isiExpressed as the degree of completion, p, of the target function task by the ith target home controlled device1Expressed as the current suitability of the current environmental parameter corresponding to the inside of the target dwelling, FiExpressed as the operating efficiency, p, of the ith target home controlled appliance2Expressed as a preset standard fitness level inside the target home, lg expressed as a logarithm, Mi expressed as the number of repairs of the ith target home-controlled appliance, SjiExpressed as the loss life factor, Q, of the ith target home controlled device after the jth repairiExpressed as the space utilization coefficient of the ith target home controlled device, and T expressed as the cycle duration;
calculating the priority of each target household controlled device according to the completion degree of each target household controlled device to the target function task:
wherein, BiExpressed as the priority of the ith target home controlled device, F' is expressed as a reference value of the work efficiency required for the target function task, theta1Expressed as the weight value of the work efficiency, the value is 0.3UiExpressed as the power consumption amount of the ith target home controlled device, U' is expressed as the preset desired power consumption amount, θ2Expressed as the weight value of the power consumption, wherein is 0.5, theta3Expressed as the weighted value of the task completion degree, the value is 0.2, t is expressed as the expected time length required for completing the target function task,e is expressed as a natural constant, the value is 2.72, log is expressed as logarithm, alpha is expressed as the relaxation degree of the target function task, beta is expressed as an important coefficient of the target function task, and delta is expressed as a difficulty coefficient when the target function task is executed;
and determining the use priority of each target household controlled device according to the priority sequence of the target household controlled devices.
An intelligent house control system based on the internet of things, the system comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring current environmental parameters inside a target house and uploading the current environmental parameters to a preset Internet of things server;
the generating module is used for generating working state adjusting requests of all household controlled equipment aiming at the current environment parameters by utilizing the preset Internet of things server;
the transmission module is used for transmitting the working state adjustment request of each household controlled device to the handheld terminal device of the target user;
and the adjusting module is used for receiving a feedback instruction of the target user for the working state adjusting request of each household controlled device and adaptively adjusting the current working state of each household controlled device according to the feedback instruction.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention.
Fig. 1 is a flowchart illustrating a method for controlling a smart home based on the internet of things according to the present invention;
fig. 2 is another work flow chart of the intelligent residence control method based on the internet of things provided by the invention;
fig. 3 is another work flow chart of the intelligent residence control method based on the internet of things provided by the invention;
fig. 4 is a schematic structural diagram of an intelligent home control system based on the internet of things according to the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
With the continuous improvement of the living standard and the national technology level of people, the word of intellectualization in the daily life of people is increasingly popularized to daily use equipment, and an intelligent home (HomeAutomation) is a modern living system formed on the basis of a traditional house and assisted by an internet of things communication technology, an automatic control technology and an artificial intelligence technology. The intelligent home is mature day by day and brings great convenience for modern fast-paced life, good, comfortable and intelligent living environment can be provided for users, more and more internet companies including Hua and millet in China provide intelligent home equipment for the users, the users only need to connect each intelligent home equipment with terminals such as mobile phones in a Bluetooth, wireless or infrared mode when using, the working state of each intelligent home equipment can be controlled through the terminals, the life experience of the users is greatly enriched, but the method has the following defects: when a user goes to work or goes out, when the environmental parameters in the house are abnormal, the intelligent home devices cannot be intelligently started to improve the environmental parameters, and the environmental parameters can be improved only through the terminal held by the user when the user returns to the house, so that the experience of the user is reduced. In order to solve the above problems, the present embodiment discloses a smart home control method based on the internet of things.
An intelligent residence control method based on the internet of things is shown in fig. 1, and comprises the following steps:
s101, collecting current environment parameters in a target house, and uploading the current environment parameters to a preset Internet of things server;
step S102, generating working state adjusting requests of all household controlled equipment aiming at the current environment parameters by utilizing the preset Internet of things server;
step S103, transmitting the working state adjusting requests of the various household controlled devices to the handheld terminal device of the target user;
step S104, receiving a feedback instruction of the target user for the working state adjustment request of each household controlled device, and adaptively adjusting the current working state of each household controlled device according to the feedback instruction;
in this embodiment, the preset internet of things server is connected to both the handheld terminal of the user and each household controlled device, which is equivalent to a third-party control device, and the target user can send an instruction to the preset internet of things server through the handheld terminal to further improve the environmental parameters in the target residence so as to achieve the purpose of optimizing the environment.
The working principle of the technical scheme is as follows: the method comprises the steps of collecting current environment parameters inside a target house, uploading the current environment parameters to a preset Internet of things server, generating working state adjusting requests of all household controlled equipment aiming at the current environment parameters by using the preset Internet of things server, transmitting the working state adjusting requests of all household controlled equipment to handheld terminal equipment of a target user, receiving feedback instructions of the target user on the working state adjusting requests of all household controlled equipment, and adaptively adjusting the current working state of all household controlled equipment according to the feedback instructions.
The beneficial effects of the above technical scheme are: the method comprises the steps of intelligently acquiring current environment parameters in a target house to judge whether corresponding household controlled equipment needs to be started or not, sending a request to a user when the household controlled equipment needs to be started, adjusting the working state of the household controlled equipment after receiving a feedback instruction of the target user, and intelligently adjusting the environment parameters in the target house when the target user is not at home such as working or going out, so that the target user keeps a stable and proper environment coefficient in the target house when returning to the target house, the experience of the target user is improved, and the target user can independently select whether to start the household controlled equipment or not, thereby improving the practicability, solving the problem that in the prior art, when the user is working or going out, when the environment parameters in the house are abnormal, the household controlled equipment cannot be intelligently started to improve the environment parameters, the problem of improvement via the terminal held by the user can only be waited for when the user returns to home.
In one embodiment, the acquiring current environmental parameters inside a target residence and uploading the current environmental parameters to a preset internet of things server includes:
detecting the temperature, the illumination intensity and the air freshness inside the target house;
determining the temperature, the illumination intensity and the air freshness as current environmental parameters inside a target house;
and connecting with the preset Internet of things server, and uploading the current environmental parameters to the preset physical network server.
The beneficial effects of the above technical scheme are: different household controlled devices can be reasonably started aiming at different parameters by collecting indoor parameters in different aspects, the limitation is reduced, and the internal environmental parameters of the target residence are ensured to meet the standards suitable for life of people.
In one embodiment, as shown in fig. 2, before generating the operation state adjustment request of each home controlled device for the current environment parameter by using the preset internet of things server, the method further includes:
step S201, acquiring standard environment parameters of different time periods in a target house in a normal state;
step S202, carrying out statistical arrangement on the standard environmental parameters at different time intervals to obtain a normal environmental parameter interval in the target house;
and S203, uploading the normal environment parameter interval to a preset Internet of things server.
The beneficial effects of the above technical scheme are: a good reference sample can be provided by acquiring a normal environment parameter interval in the target house, so that the normal life and health of the target user in the target house are ensured.
In one embodiment, as shown in fig. 3, before generating, by the preset internet of things server, an operation state adjustment request of each home controlled device for the current environment parameter, the method further includes:
step S301, determining the functional characteristics of each household controlled device;
step S302, target household controlled equipment with similar functional characteristics is integrated into unified functional equipment;
step S303, connecting each target household controlled device in each type of uniform function device to the preset Internet of things server in a preset connection mode;
step S304, configuring a common working node for a plurality of target household controlled devices in each type of uniform function device in the preset Internet of things server;
in this embodiment, the preset connection mode is one or more of bluetooth, wifi and infrared.
The beneficial effects of the above technical scheme are: by grouping home controlled devices with similar functions into one type of device and setting a common working node, a plurality of home controlled devices with the same functions can be rapidly used to improve the type of environmental parameters when the environmental parameters of a certain type in a target house are abnormal, and the efficiency of improving the environmental parameters is improved.
In one embodiment, the generating, by the preset internet of things server, an operating state adjustment request of each home controlled device for the current environmental parameter includes:
acquiring the current temperature, the current illumination intensity and the current air freshness in the current environmental parameters;
determining whether the current temperature is in a normal temperature interval corresponding to a normal environment parameter interval, if so, not needing subsequent operation, otherwise, determining whether the current temperature is in an overproof condition or an unqualified condition, if the current temperature is in the overproof condition, generating a refrigeration instruction of temperature regulating equipment, and if the current temperature is in the unqualified condition, generating a heating instruction of the temperature regulating equipment;
confirming whether the current illumination intensity is in a normal illumination intensity interval corresponding to a normal environment parameter interval, if so, not needing to carry out subsequent operation, otherwise, generating an illumination instruction of the illumination device;
confirming whether the current air freshness is in a normal air freshness interval corresponding to a normal environment parameter interval, if so, not needing to carry out subsequent operation, and otherwise, generating an air freshness instruction of air freshening equipment;
and generating a working state adjusting request of each target household controlled device in the target uniform function device according to the refrigerating instruction, the heating instruction, the lighting instruction or the air freshening instruction.
The beneficial effects of the above technical scheme are: the current environment parameters are intelligently judged to determine that the abnormal conditions of the current environment parameters can be quickly analyzed for different instructions of the equipment without functions, and the measures can be reasonably taken, so that the intelligence is improved.
In one embodiment, after the preset internet of things server is utilized to generate the working state adjustment request of each home controlled device for the current environment parameter, before the working state adjustment request of each home controlled device is transmitted to the handheld terminal device of the target user, the method further includes:
generating control information of each target household controlled device, and acquiring current load information of the preset Internet of things server;
predicting the collision probability of a plurality of target household controlled devices when the target household controlled devices operate simultaneously according to the control information of each target household controlled device and the current load information of a preset Internet of things server;
determining whether the conflict probability is greater than or equal to a preset probability, if so, determining that the working state adjustment request of each target household controlled device in the target uniform function device is qualified, otherwise, determining that the working state adjustment request of each target household controlled device in the target uniform function device is unqualified;
when the working state adjusting request of each household controlled device is unqualified, the power consumption and the function effect of each target household controlled device are obtained;
determining the use priority of each target household controlled device according to the power consumption and the functional effect of the target household controlled device;
the screening target home controlled devices having the largest and the second largest use priority levels are confirmed as home controlled devices to be started.
The beneficial effects of the above technical scheme are: the energy source loss caused by the simultaneous operation of a plurality of target household controlled devices is avoided, and the safety is improved.
In one embodiment, the receiving a feedback instruction of the target user for the operation state adjustment request of each home controlled device, and adaptively adjusting the current operation state of each home controlled device according to the feedback instruction includes:
analyzing a feedback instruction of the target user for the working state adjustment request of each household controlled device to obtain an execution instruction of the target user for each household controlled device;
and starting or closing each household controlled device according to the execution instruction of the target user for each household controlled device.
The beneficial effects of the above technical scheme are: the intelligence is further improved.
In one embodiment, the predicting, according to the control information of each target home controlled device and current load information of a preset internet of things server, a collision probability when a plurality of target home controlled devices operate simultaneously includes:
acquiring working parameter data of each target household controlled device in a normal working state according to the control information of each target household controlled device;
constructing a correlation matrix among the target household controlled devices according to the working parameter data of each target household controlled device in the normal working state;
acquiring the used time length and the maintenance record of each target household controlled device;
determining the reliability of each target household controlled device according to the use duration and the maintenance record of each target household controlled device;
quantifying the reliability of each target household controlled device by using a correlation matrix among the target household controlled devices;
acquiring maximum load information of a preset Internet of things server;
determining a conflict index between the preset Internet of things server and the control equipment by using the maximum load information of the preset Internet of things server and the preset average resource usage amount of the household controlled equipment;
determining a control mode of the preset Internet of things server for control setting according to a conflict index between the preset Internet of things server and the control equipment;
determining the probability of independent and stable work of each target household controlled device according to the control mode of the preset Internet of things server between control settings and the quantized reliability of each target household controlled device;
calculating the potential collision probability of the multiple target household controlled devices when the multiple target household controlled devices work simultaneously according to the probability that the target household controlled devices work independently and stably;
subtracting the current load information from the maximum load information of the preset Internet of things server to obtain available load information of the preset Internet of things server;
determining the number threshold of the target household controlled equipment in a normal working state in unit time according to available load information of a preset Internet of things server, the potential collision probability when a plurality of target household controlled equipment simultaneously work and the target resource usage amount when each target household controlled equipment works;
and predicting the collision probability of the multiple target household controlled devices in the simultaneous operation according to the quantity threshold value.
The beneficial effects of the above technical scheme are: whether the target household controlled devices can affect each other when working together can be visually determined according to a correlation matrix established among the target household controlled devices, meanwhile, whether other devices can be further determined when each target household controlled device works can be further determined by determining the reliability of each target household controlled device, further, whether conflicts can occur when a plurality of target household controlled devices work simultaneously can be visually determined according to the calculated quantity by determining the quantity of the devices which normally work under the controllable load information according to the control mode of the preset Internet of things server for the control setting, and the conflict probability can be accurately inferred, so that the safety and the data accuracy are improved.
In one embodiment, the determining the use priority of each target home controlled device according to the power consumption and the functional effect thereof includes:
determining the working efficiency of each target household controlled device according to the functional effect of the target household controlled device;
generating target function tasks according to target function characteristics of a plurality of target household controlled devices and current environment parameters;
and calculating the completion degree of the target household controlled equipment to the target function task in the period according to the working efficiency of each target household controlled equipment:
wherein k isiExpressed as the degree of completion, p, of the target function task by the ith target home controlled device1Expressed as the current suitability of the current environmental parameter corresponding to the inside of the target dwelling, FiExpressed as the operating efficiency, p, of the ith target home controlled appliance2Presentation as a preset standard fit within the target dwellingDegree, lg is logarithmic, Mi is maintenance number of ith target home controlled device, SjiExpressed as the loss life factor, Q, of the ith target home controlled device after the jth repairiExpressed as the space utilization coefficient of the ith target home controlled device, and T expressed as the cycle duration;
calculating the priority of each target household controlled device according to the completion degree of each target household controlled device to the target function task:
wherein, BiExpressed as the priority of the ith target home controlled device, F' is expressed as a reference value of the work efficiency required for the target function task, theta1Expressed as the weight value of the work efficiency, the value is 0.3UiExpressed as the power consumption amount of the ith target home controlled device, U' is expressed as the preset desired power consumption amount, θ2Expressed as the weight value of the power consumption, wherein is 0.5, theta3The value of the weighted value of the task completion degree is 0.2, t is the expected time required for completing the target function task, e is a natural constant and 2.72, log is logarithm, alpha is the relaxation degree of the target function task, beta is an important coefficient of the target function task, and delta is a difficulty coefficient when the target function task is executed;
and determining the use priority of each target household controlled device according to the priority sequence of the target household controlled devices.
The beneficial effects of the above technical scheme are: target household controlled equipment with low completion degree can be preliminarily eliminated by calculating the completion degree of each target household controlled equipment to the target function task in the period, energy consumption is saved, the situation that the target household controlled equipment with low completion degree is manually selected is avoided, the working efficiency is reduced, the experience feeling of a user is further improved, furthermore, the recommendation degree of each target household controlled equipment can be accurately evaluated according to the self parameters and the expected requirement of each target household controlled equipment by calculating the priority degree of each target household controlled equipment, intelligent recommendation is realized, and energy consumption is further reduced.
This embodiment also discloses an wisdom house control system based on thing networking, as shown in fig. 4, this system includes:
the system comprises an acquisition module 401, a storage module and a processing module, wherein the acquisition module is used for acquiring current environment parameters inside a target house and uploading the current environment parameters to a preset internet of things server;
a generating module 402, configured to generate, by using the preset internet of things server, a working state adjustment request of each household controlled device for the current environment parameter;
a transmission module 403, configured to transmit the operating state adjustment request of each home-controlled device to a handheld terminal device of a target user;
and the adjusting module 404 is configured to receive a feedback instruction of the target user for the working state adjustment request of each home controlled device, and adaptively adjust the current working state of each home controlled device according to the feedback instruction.
The working principle and the advantageous effects of the above technical solution have been explained in the method claims, and are not described herein again.
It will be understood by those skilled in the art that the first and second terms of the present invention refer to different stages of application.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. An intelligent house control method based on the Internet of things is characterized by comprising the following steps:
acquiring current environmental parameters inside a target house, and uploading the current environmental parameters to a preset Internet of things server;
generating a working state adjusting request of each household controlled device aiming at the current environment parameter by using the preset Internet of things server;
transmitting the working state adjusting requests of the various household controlled devices to the handheld terminal device of the target user;
and receiving a feedback instruction of the target user for the working state adjustment request of each household controlled device, and adaptively adjusting the current working state of each household controlled device according to the feedback instruction.
2. The intelligent house control method based on the internet of things of claim 1, wherein the collecting current environment parameters inside a target house and uploading the current environment parameters to a preset internet of things server comprises:
detecting the temperature, the illumination intensity and the air freshness inside the target house;
determining the temperature, the illumination intensity and the air freshness as current environmental parameters inside a target house;
and connecting with the preset Internet of things server, and uploading the current environmental parameters to the preset physical network server.
3. The intelligent residence control method based on internet of things of claim 1, wherein before generating the operation state adjustment request of each household controlled device for the current environmental parameter by the preset internet of things server, the method further comprises:
acquiring standard environmental parameters of different time periods in a target house in a normal state;
carrying out statistical arrangement on the standard environmental parameters at different time intervals to obtain a normal environmental parameter interval in the target house;
and uploading the normal environment parameter interval to a preset Internet of things server.
4. The intelligent residence control method based on internet of things of claim 1, wherein before generating the operation state adjustment request of each household controlled device for the current environmental parameter by the preset internet of things server, the method further comprises:
determining a functional characteristic of each home controlled device;
attributing target home controlled devices having similar functional characteristics to a unified functional device;
connecting each target household controlled device in each type of uniform function device to the preset Internet of things server in a preset connection mode;
and configuring a common working node for a plurality of target household controlled devices in each type of uniform function device in the preset Internet of things server.
5. The intelligent residence control method based on the internet of things as claimed in any one of claims 2 to 4, wherein the generating of the operation state adjustment request of each household controlled device for the current environmental parameter by the preset internet of things server comprises:
acquiring the current temperature, the current illumination intensity and the current air freshness in the current environmental parameters;
determining whether the current temperature is in a normal temperature interval corresponding to a normal environment parameter interval, if so, not needing subsequent operation, otherwise, determining whether the current temperature is in an overproof condition or an unqualified condition, if the current temperature is in the overproof condition, generating a refrigeration instruction of temperature regulating equipment, and if the current temperature is in the unqualified condition, generating a heating instruction of the temperature regulating equipment;
confirming whether the current illumination intensity is in a normal illumination intensity interval corresponding to a normal environment parameter interval, if so, not needing to carry out subsequent operation, otherwise, generating an illumination instruction of the illumination device;
confirming whether the current air freshness is in a normal air freshness interval corresponding to a normal environment parameter interval, if so, not needing to carry out subsequent operation, and otherwise, generating an air freshness instruction of air freshening equipment;
and generating a working state adjusting request of each target household controlled device in the target uniform function device according to the refrigerating instruction, the heating instruction, the lighting instruction or the air freshening instruction.
6. The method for controlling an intelligent home based on internet of things according to claim 5, wherein after the preset internet of things server generates the operation state adjustment request of each household controlled device for the current environmental parameter, before the operation state adjustment request of each household controlled device is transmitted to the handheld terminal device of the target user, the method further comprises:
generating control information of each target household controlled device, and acquiring current load information of the preset Internet of things server;
predicting the collision probability of a plurality of target household controlled devices when the target household controlled devices operate simultaneously according to the control information of each target household controlled device and the current load information of a preset Internet of things server;
determining whether the conflict probability is greater than or equal to a preset probability, if so, determining that the working state adjustment request of each target household controlled device in the target uniform function device is qualified, otherwise, determining that the working state adjustment request of each target household controlled device in the target uniform function device is unqualified;
when the working state adjusting request of each household controlled device is unqualified, the power consumption and the function effect of each target household controlled device are obtained;
determining the use priority of each target household controlled device according to the power consumption and the functional effect of the target household controlled device;
the screening target home controlled devices having the largest and the second largest use priority levels are confirmed as home controlled devices to be started.
7. The method for controlling the smart home based on the internet of things as claimed in claim 1, wherein the receiving of the feedback instruction of the operation state adjustment request of the target user for each household controlled device adaptively adjusts the current operation state of each household controlled device according to the feedback instruction comprises:
analyzing a feedback instruction of the target user for the working state adjustment request of each household controlled device to obtain an execution instruction of the target user for each household controlled device;
and starting or closing each household controlled device according to the execution instruction of the target user for each household controlled device.
8. The intelligent residence control method based on the internet of things as claimed in claim 6, wherein the predicting the collision probability of the multiple target household controlled devices when operating simultaneously according to the control information of each target household controlled device and the current load information of the preset internet of things server comprises:
acquiring working parameter data of each target household controlled device in a normal working state according to the control information of each target household controlled device;
constructing a correlation matrix among the target household controlled devices according to the working parameter data of each target household controlled device in the normal working state;
acquiring the used time length and the maintenance record of each target household controlled device;
determining the reliability of each target household controlled device according to the use duration and the maintenance record of each target household controlled device;
quantifying the reliability of each target household controlled device by using a correlation matrix among the target household controlled devices;
acquiring maximum load information of a preset Internet of things server;
determining a conflict index between the preset Internet of things server and the control equipment by using the maximum load information of the preset Internet of things server and the preset average resource usage amount of the household controlled equipment;
determining a control mode of the preset Internet of things server for control setting according to a conflict index between the preset Internet of things server and the control equipment;
determining the probability of independent and stable work of each target household controlled device according to the control mode of the preset Internet of things server between control settings and the quantized reliability of each target household controlled device;
calculating the potential collision probability of the multiple target household controlled devices when the multiple target household controlled devices work simultaneously according to the probability that the target household controlled devices work independently and stably;
subtracting the current load information from the maximum load information of the preset Internet of things server to obtain available load information of the preset Internet of things server;
determining the number threshold of the target household controlled equipment in a normal working state in unit time according to available load information of a preset Internet of things server, the potential collision probability when a plurality of target household controlled equipment simultaneously work and the target resource usage amount when each target household controlled equipment works;
and predicting the collision probability of the multiple target household controlled devices in the simultaneous operation according to the quantity threshold value.
9. The intelligent residence control method based on the internet of things as claimed in claim 6, wherein the determining of the usage priority according to the power consumption and the functional effect of each target household controlled device comprises:
determining the working efficiency of each target household controlled device according to the functional effect of the target household controlled device;
generating target function tasks according to target function characteristics of a plurality of target household controlled devices and current environment parameters;
and calculating the completion degree of the target household controlled equipment to the target function task in the period according to the working efficiency of each target household controlled equipment:
wherein k isiExpressed as the degree of completion, p, of the target function task by the ith target home controlled device1Expressed as the current suitability of the current environmental parameter corresponding to the inside of the target dwelling, FiExpressed as the operating efficiency, p, of the ith target home controlled appliance2Expressed as a preset standard fitness level inside the target home, lg expressed as a logarithm, Mi expressed as the number of repairs of the ith target home-controlled appliance, SjiExpressed as the loss life factor, Q, of the ith target home controlled device after the jth repairiExpressed as the space utilization coefficient of the ith target home controlled device, and T expressed as the cycle duration;
calculating the priority of each target household controlled device according to the completion degree of each target household controlled device to the target function task:
wherein, BiExpressed as the priority of the ith target home controlled device, F' is expressed as a reference value of the work efficiency required for the target function task, theta1Expressed as the weight value of the work efficiency, the value is 0.3UiExpressed as the power consumption amount of the ith target home controlled device, U' is expressed as the preset desired power consumption amount, θ2Expressed as the weight value of the power consumption, wherein is 0.5, theta3The value of the weighted value of the task completion degree is 0.2, t is the expected time required for completing the target function task, e is a natural constant and 2.72, log is logarithm, alpha is the relaxation degree of the target function task, beta is an important coefficient of the target function task, and delta is a difficulty coefficient when the target function task is executed;
and determining the use priority of each target household controlled device according to the priority sequence of the target household controlled devices.
10. An intelligent house control system based on the internet of things is characterized by comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring current environmental parameters inside a target house and uploading the current environmental parameters to a preset Internet of things server;
the generating module is used for generating working state adjusting requests of all household controlled equipment aiming at the current environment parameters by utilizing the preset Internet of things server;
the transmission module is used for transmitting the working state adjustment request of each household controlled device to the handheld terminal device of the target user;
and the adjusting module is used for receiving a feedback instruction of the target user for the working state adjusting request of each household controlled device and adaptively adjusting the current working state of each household controlled device according to the feedback instruction.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113759758A (en) * | 2021-09-13 | 2021-12-07 | 河南工业职业技术学院 | Intelligent control system based on Internet of things |
| CN113966049A (en) * | 2021-11-04 | 2022-01-21 | 大庆恒驰电气有限公司 | Low-carbon environment-friendly intelligent lighting induction system |
-
2021
- 2021-04-23 CN CN202110442529.9A patent/CN113110194A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113759758A (en) * | 2021-09-13 | 2021-12-07 | 河南工业职业技术学院 | Intelligent control system based on Internet of things |
| CN113966049A (en) * | 2021-11-04 | 2022-01-21 | 大庆恒驰电气有限公司 | Low-carbon environment-friendly intelligent lighting induction system |
| CN113966049B (en) * | 2021-11-04 | 2022-05-13 | 大庆恒驰电气有限公司 | Low-carbon environment-friendly intelligent lighting induction system |
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