WO2013113139A1

WO2013113139A1 - Cloud air conditioner adaptive defrosting method and system based on cloud computing

Info

Publication number: WO2013113139A1
Application number: PCT/CN2012/070756
Authority: WO
Inventors: 郑祖义; 方湘涛; 谭均必; 洪德欣; 杨铁军; 崔严鹏; 金听祥
Original assignee: 广东志高空调有限公司
Priority date: 2012-01-30
Filing date: 2012-01-30
Publication date: 2013-08-08

Abstract

Disclosed is a cloud air conditioner adaptive defrosting method based on cloud computing, and is applicable to a cloud air conditioning system connected to a cloud computing center platform by a communication network. The cloud computing center platform receives an adaptive defrosting function enabling instruction and current geographic information that are sent from a user; a cloud service center of the cloud computing center platform queries a weather forecast platform and obtains the current weather conditions comprising the real-time temperature, the humidity, and the rain and snow situations in the place where the cloud air conditioner is located; the cloud service center invokes a cloud service application module thereof to determine the optimal defrosting scheme according to the current weather conditions; and the cloud service center downloads the optimal defrosting scheme to the cloud air conditioner, so as to perform the adaptive defrosting. The present invention also provides a cloud air conditioner adaptive defrosting system based on cloud computing. The system determines the optimal defrosting scheme according to the current weather conditions, thereby ensuring that defrosting is performed automatically and thoroughly if frosting occurs, and ensuring the feeling of comfort when the air conditioner performs heating; defrosting is not performed in a frostless period, thereby avoiding unnecessary power consumption.

Description

Cloud-based cloud air conditioner adaptive defrosting method and system

Technical field

The invention relates to the field of household appliances and automatic control, in particular to a cloud computing-based cloud air conditioner adaptive defrosting method and system, which can be adaptively implemented according to ambient temperature, humidity and rain and snow conditions under heating conditions. Frost.

Background technique

In the existing air conditioning heating operation, the automatic frost is required under the condition that the outdoor condenser is frosted, and the defrosting control generally collects the relevant temperature through the outdoor ambient temperature sensor, the outdoor condenser coil temperature sensor, etc., and then presses the fixed software. The algorithm determines the entry and exit conditions of the defrosting, and finally realizes the defrosting operation. Due to the large differences in ambient temperature, humidity, and rain and snow conditions, when the same fixed defrosting algorithm is used, there may be cases where frost does not enter defrosting, defrosting is not complete, or frost-free defrosting occurs. It seriously affects the comfort of the air conditioner under heating conditions; on the other hand, if it is still defrosted without frost, it will cause unnecessary energy consumption.

With the rapid development of computer network technology, digital signal processing technology and modern communication technology, the trend of computer, communication and home appliance 3C integration has become increasingly obvious. At present, cloud air conditioners based on the Internet of Things and cloud computing center platforms have emerged. Cloud air conditioners can provide three-way interaction and communication between home appliance manufacturers and cloud air conditioners, manufacturers and users, users and cloud air conditioners. Air conditioner manufacturers or authorized users can customize the different application functions of air conditioners at any time, thus easily implementing cloud service functions such as automatic upgrade of air conditioner software, personalized temperature and humidity settings, but they do not pay sufficient attention to adaptive defrosting. It is therefore necessary to design a new defrosting solution.

Summary of the invention

In view of the above, the present invention provides a cloud computing-based cloud air conditioner adaptive defrosting method and system, which can adaptively perform defrosting according to local environmental temperature, humidity, and rain and snow conditions under heating conditions.

To solve the above technical problem, the technical solution of the cloud-based cloud air conditioner adaptive defrosting method of the present invention is adapted to the cloud air conditioning system connected to the cloud computing center platform through a communication network, which includes: The cloud computing center platform receives the adaptive defrosting function startup command sent by the user and the current geographic information;

The cloud service center of the cloud computing center platform queries the weather forecast platform to obtain the current weather conditions, and the current weather conditions obtained include the real-time temperature, humidity, rain and snow conditions of the cloud air conditioner location;

The cloud service center calls its cloud service application module to obtain an optimized frost plan based on current weather conditions;

The Cloud Service Center downloads the optimized frost solution to the cloud air conditioner for adaptive defrosting. Preferably, the user sends an adaptive defrosting function activation command and current geographic information through the user terminal.

Preferably, the cloud service center downloads the optimized frost scheme to the embedded controller of the cloud air conditioner to perform adaptive defrosting.

Preferably, the optimal frost scheme determines the cloud air conditioner entry determination condition and the defrosting exit determination condition according to the current weather condition, wherein: when the cloud air conditioner is in a low ambient temperature, a large humidity, or a rainy or snowy weather, the defrosting enters Determine the condition to maximize the frost running time, so that the defrost exit determination condition maximizes the frost running time, and adjusts the first coil temperature setting value and the second coil temperature setting value; when the cloud air conditioner is in the south In the area or normal weather, adjust the above parameters accordingly

On this basis, the present invention provides a cloud computing-based cloud air conditioner adaptive defrosting system, the technical solution of which is adapted to connect to a cloud air conditioning system of a cloud computing center platform through a communication network, the cloud computing center platform is connected to the weather a forecasting platform, wherein: the cloud computing center platform is configured to receive an adaptive frosting function startup instruction and current geographic information sent by the user; and query the weather forecasting platform through the cloud service center of the cloud computing center platform to obtain a current weather condition The current weather conditions obtained include real-time temperature, humidity, rain and snow conditions of the cloud air conditioner location; and the cloud service application module is invoked by the cloud service center to obtain an optimized frost scheme determined according to current weather conditions; The service center downloads the optimized frost plan to the cloud air conditioner for adaptive defrosting.

Preferably, the user terminal is connected to the cloud computing center platform through a communication network, and is used for the user to send an adaptive defrosting function startup instruction and current geographic information through the user terminal. Preferably, the cloud air conditioner is provided with an embedded controller, and the cloud service center is configured to download an optimized frost scheme into the embedded controller, so as to perform adaptive defrosting accordingly.

Preferably, the embedded controller is provided with a remote setting function module and a remote online software upgrading function module.

Preferably, the communication network is an Internet of Things.

Preferably, the optimized frost scheme obtained by the cloud service center determines the cloud air conditioner entry determination condition and the defrosting exit determination condition according to the current weather condition, wherein: when the cloud air conditioner is in an environment with a low ambient temperature, a large humidity, or a rain or snow In the weather, the defrosting enters the determination condition to maximize the frost running time, so that the defrosting exit determination condition maximizes the frost running time, and adjusts the first coil temperature setting value and the second coil temperature setting value; When the environment in which the cloud air conditioner is located is in the southern region or in normal weather, the above parameters are adjusted in reverse.

Compared with the prior art, the present invention utilizes the Internet of Things and the cloud computing platform to adaptively perform defrosting according to the ambient temperature, humidity, and rain and snow conditions of the local environment, specifically: in the case of frost, it can be automatically and thoroughly performed. Defrost ensures the comfort of the air conditioner under heating conditions; when there is no frost, it does not enter the defrosting, thus avoiding unnecessary energy consumption.

DRAWINGS

1 is a composition diagram of a cloud air conditioning network to which the adaptive defrosting method and system of the present invention are applied;

2 is a block diagram showing the composition of a cloud-based cloud air conditioner adaptive defrosting system according to the present invention;

3 is a flow chart of a cloud computing-based cloud air conditioner adaptive defrosting method according to the present invention.

detailed description

In order to facilitate the description of the embodiments of the present invention, the determination conditions of the air-conditioning heating frost and the basic principles of the cloud computing are first described.

The conditions for determining the air-conditioning heating cream are generally classified into entry defrosting conditions and exit defrosting conditions. The parameters for entering the defrosting determination are generally the heating operation time Theat, the coil temperature Tpipe, the minimum heating operation time Tmin, the coil temperature setting value Tsetl, etc.; when Tpipe<Tsetl and Theat>Tmin are satisfied, the air conditioner enters the defrosting. The exit defrosting determination parameter is generally to maximize the frost running time Tmax, the coil temperature Tpipe, the defrosting running time Tdefrost, the coil temperature setting value Tset2, etc.; when the defrosting operation is satisfied When Tdefrost>Tmax or Tpipe>Tset2, the air conditioner exits the defrosting operation. Ordinary air conditioners are designed according to the same judgment mode. For different seasons and different seasons and rain and snow conditions, Tsetl, Tset2, Tmax, Tmin and other spring numbers are unique. The defrosting control scheme cannot be combined with the real-time ambient temperature and humidity of the air conditioner. In accordance with the specific environmental conditions such as rain and snow, the defrosting is not timely, the defrosting is not thorough, and the frost-free defrosting is caused, resulting in poor comfort performance.

The so-called cloud computing, the basic principle is: By distributing the calculations on a large number of distributed computers, rather than local computers or remote servers, the enterprise data center will operate more like the Internet. This allows companies to switch resources to the applications they need and access computers and storage systems as needed. This is a revolutionary move, which is like a shift from the old single generator mode to the centralized power supply mode of the power plant. It means that computing power or computing power can also be circulated as a commodity, just like gas and water, it is easy to use and low cost. The biggest difference is that this computing power or storage capacity is transmitted over the Internet. In this way, only one laptop, one mobile phone or other terminal is needed, and everything that the user needs can be realized through the network service, even including the task of super computing. From this perspective, the end user is the true owner of cloud computing.

The core idea of the present invention is to solve the problem that the current air conditioning defrosting control scheme cannot adapt to the specific environmental conditions such as temperature, humidity, rain and snow, and thus the defrosting is not timely, the defrosting is not thorough, and the frost is not frosted. In the case of the situation, a cloud-based air conditioning control system solution based on cloud computing and adaptive frosting according to specific environmental conditions is proposed.

In order to make those skilled in the art better understand the technical solutions of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

As shown in Figure 1, it represents the network composition diagram of the cloud air conditioning system. The cloud air conditioning system is a cloud air conditioning system with an adaptive defrosting function, including a cloud air conditioner 4 connected by a communication network (Internet of Things) 5, a cloud computing center 2, a user terminal (MID device) 1, a weather forecasting platform The third part, thus forming a cloud air conditioning defrosting control system based on cloud computing technology.

Referring to Fig. 2, a preferred embodiment of the cloud computing-based cloud air conditioner adaptive defrosting system of the present invention is shown. among them:

The user terminal 1 can be a mobile phone, a notebook computer, etc., when the user confirms that the adaptive defrosting needs to be started, The user terminal 1 sends an adaptive defrosting function command and current geographic location information to the cloud service center of the cloud computing center platform to perform subsequent self-applied defrosting.

The cloud computing center platform 2 and the weather forecasting platform 3 are interconnected, and can query and feedback the real-time weather conditions of the user at any time, including temperature, humidity, rain and snow conditions, etc.;

The cloud computing center 2 includes a cloud service center 21 having various cloud application modules 22, thereby enabling specific algorithms to determine different operating modes of the air conditioner and providing an optimal frost scheme that best meets local conditions;

The weather forecasting platform 3 is a public center, and can provide real-time weather conditions in various places, and is used for reference of the cloud computing center platform 2 when determining the defrosting scheme;

The cloud air conditioner 4 is provided with an intelligent embedded controller that starts adaptive defrosting when a defrosting scheme is received. The intelligent embedded controller has functions such as remote setting and remote online software upgrade, and realizes online upgrade and personalized customization of the software through the cloud computing center platform under the condition of user confirmation.

As shown in FIG. 2, the working process of the cloud computing-based cloud air conditioner adaptive defrosting system mainly comprises: 1 a cloud computing center platform for receiving an adaptive defrosting function startup instruction sent by a user and current geographic information; The cloud service center of the cloud computing center platform queries the weather forecasting platform to obtain the current weather condition; 3 the cloud service application module is invoked by the cloud service center to obtain an optimized frost plan determined according to the current weather condition; 4 by the cloud The service center downloads the optimized frost plan to the cloud air conditioner for adaptive defrosting.

In this way, the manufacturer or authorized user can realize the optimal adaptation of the defrosting control and the local operating environment by relying on the cloud air-conditioning platform. At the same time, the online update and upgrade of the software for the air-conditioning through the cloud service center can ensure that the cloud air-conditioning adopts the most suitable local. Defrost control scheme for the current environment.

Referring to Fig. 3, a preferred embodiment of the cloud computing-based cloud air conditioner adaptive defrosting method of the present invention is shown. The cloud cloud air conditioner adaptive defrosting method shown in Figure 3 utilizes the powerful cloud service center function of the cloud computing center platform, and adopts an adaptive defrosting mode. The specific execution process mainly includes the following steps:

S301. The cloud computing center platform receives an adaptive defrosting function start instruction and current geographic information sent by the user through the user terminal. When the cloud air conditioner user confirms that the adaptive defrosting needs to be started, the user terminal sends the adaptive defrosting function command and the current geographical location information to the cloud service center of the cloud computing center platform to perform the subsequent self-applied defrosting.

5302. The cloud service center of the cloud computing center platform queries the weather forecast platform to obtain the current weather conditions.

The cloud service center of the cloud computing center platform automatically connects to the weather forecasting platform to query the current current weather conditions such as the real-time temperature, humidity, rain and snow conditions of the user's location, so that the cloud service application module generates an optimal frost plan.

5303. The cloud service center of the cloud computing center platform invokes its cloud service application module to obtain an optimized frost scheme determined according to current weather conditions.

After the cloud service center calls its cloud service application module, it determines the defrosting entry judgment condition and the exit determination conditions Tsetl, Tset2, Tmax, Tmin and other parameters that best meet the local environmental conditions according to the current weather conditions.

When the ambient temperature of the air conditioner is low, the humidity is too large, or the weather is rainy or snowy, the maximum running time Tmin of the judgment condition is reduced accordingly, and the exit condition is maximized. The frost running time Tmax is increased, and Tsetl and Tset2 are adjusted accordingly to avoid frost. No defrosting or defrosting is not complete.

If the air conditioner is in the south or normal weather, adjust the above parameters in reverse to avoid frost-free defrosting to reduce the power consumption of the air conditioner and improve its comfort.

5304. The cloud service center of the cloud computing center platform downloads the optimized frost scheme determined according to the current weather conditions to the embedded controller of the cloud air conditioner through the network, and uses the cloud air conditioner to adaptively defrost the scheme.

After the cloud service center generates the adaptive frosting method, it downloads to the cloud air conditioner embedded controller through the network; and the cloud air conditioner embedded controller obtains the defrosting parameters provided by the cloud center, and then provides the operating plan that is most suitable for the current environmental conditions. Determining and executing the defrosting work.

In this way, the present invention utilizes the Internet of Things and the cloud computing platform to adaptively perform defrosting according to ambient temperature, humidity, and rain and snow conditions. Specifically, in the case of frost, automatic and thorough defrosting can be performed to ensure air conditioning. Comfort under heating conditions; when there is no frost, it does not enter defrosting, thus avoiding Unnecessary energy consumption.

The above is only a preferred embodiment of the present invention, and it should be noted that the above-described preferred embodiments are not to be construed as limiting the scope of the invention, and the scope of the invention should be determined by the scope defined by the claims. It will be apparent to those skilled in the art that various modifications and improvements may be made without departing from the spirit and scope of the invention.

Claims

A cloud-based cloud air conditioner adaptive defrosting method, which is adapted to a cloud air conditioning system connected to a cloud computing center platform through a communication network, and is characterized in that:

The cloud computing center platform receives the adaptive defrosting function startup command sent by the user and the current geographic information;

The Cloud Service Center downloads the optimized frost solution to the cloud air conditioner for adaptive defrosting.

2. The cloud computing-based cloud air conditioner adaptive defrosting method according to claim 1, wherein the user transmits an adaptive defrosting function activation command and current geographic information through the user terminal.

3. The cloud computing-based cloud air conditioner adaptive defrosting method according to claim 1, wherein the cloud service center downloads the optimized frost scheme to the embedded controller of the cloud air conditioner to perform adaptiveization. Frost.

The cloud computing-based cloud air conditioner adaptive defrosting method according to claim 1, 2 or 3, wherein the optimization frost scheme determines the cloud air conditioner entry determination condition and the defrosting exit determination condition according to the current weather condition, Among them: When the ambient temperature of the cloud air conditioner is low, the humidity is too large, or the rain or snow weather, the defrosting enters the judgment condition to maximize the frost running time, so that the defrosting exit determination condition maximizes the frost running time, and the adjustment A coil temperature setting value and a second coil temperature setting value; when the cloud air conditioning environment is in the southern region or normal weather, the above parameters are reversely adjusted accordingly.

5. A cloud computing-based cloud air conditioner adaptive defrosting system, adapted to a cloud air conditioning system connected to a cloud computing center platform through a communication network, wherein the cloud computing center platform is connected to a weather forecasting platform, wherein: The cloud computing center platform is configured to receive an adaptive frosting function startup instruction and current geographic information sent by the user, and query the weather forecasting platform through the cloud service center of the cloud computing center platform to obtain a current weather condition, and obtain the current weather. The situation includes the real-time temperature, humidity, rain and snow conditions of the cloud air conditioner location; and the cloud service application module is invoked by the cloud service center to obtain the basis The optimal weather plan determines the optimal frost plan; then the cloud service center downloads the optimized frost plan to the cloud air conditioner for adaptive defrosting.

The cloud computing-based cloud air conditioner adaptive defrosting system according to claim 5, comprising: a user terminal, wherein the user terminal is connected to the cloud computing center platform through a communication network, and is used by the user to pass through The user terminal sends an adaptive defrosting function start command and current geographic information.

7. The cloud computing-based cloud air conditioner adaptive defrosting system according to claim 5, wherein the cloud air conditioner is provided with an embedded controller, and the cloud service center downloads an optimized frost scheme to In the embedded controller, an adaptive defrosting is performed accordingly.

8. The cloud computing-based cloud air conditioner adaptive defrosting system according to claim 7, wherein the embedded controller is provided with a remote setting function module and a remote online software upgrade function module.

The cloud computing-based cloud air conditioner adaptive defrosting system according to claim 5, wherein the communication network is an Internet of Things.

The cloud computing-based cloud air conditioner adaptive defrosting system according to any one of claims 5 to 9, wherein the optimal frost scheme acquired by the cloud service center determines the cloud air conditioner entry determination according to the current weather condition. Conditions and defrosting exit decision conditions, where: When the ambient temperature of the cloud air conditioner is low, the humidity is too large, or the rain or snow weather, the defrosting enters the judgment condition to maximize the frost running time, and the defrosting exit judgment condition is maximized. The frost running time is increased, and the first coil temperature setting value and the second coil temperature setting value are adjusted; when the environment of the cloud air conditioner is the southern region or the normal weather, the above parameters are reversely adjusted accordingly.