CN113959066A

CN113959066A - Remote upgrading method and system for multi-split air conditioner

Info

Publication number: CN113959066A
Application number: CN202111320822.4A
Authority: CN
Inventors: 赵海龙; 殷杰; 王正磊; 韩明哲
Original assignee: Qingdao Haier Air Conditioner Gen Corp Ltd; Qingdao Haier Air Conditioning Electric Co Ltd; Haier Smart Home Co Ltd
Current assignee: Qingdao Haier Air Conditioner Gen Corp Ltd; Qingdao Haier Air Conditioning Electric Co Ltd; Haier Smart Home Co Ltd
Priority date: 2021-11-09
Filing date: 2021-11-09
Publication date: 2022-01-21
Anticipated expiration: 2041-11-09
Also published as: CN113959066B

Abstract

The invention relates to the technical field of remote upgrading, in particular to a remote upgrading method and a remote upgrading system for a multi-split air conditioner, and aims to solve the problems that the existing remote upgrading method cannot meet the requirements of differential upgrading in different operation scenes and cannot achieve the optimal upgrading effect. For the purpose, the method and the system have the advantages that the operation scene of the equipment is obtained by analyzing the operation data of each equipment in the multi-split air conditioner, the equipment portrait is established for each equipment by combining the equipment information, and the upgrading program of the equipment is matched according to the equipment portrait so as to realize remote upgrading. Through the configuration mode, the method and the device can realize automatic identification of the operation scene of the equipment in the multi-split air conditioner, realize the optimal upgrading program which is accurately matched with the equipment and adapts to the actual operation scene of the equipment, and enable the equipment after remote upgrading to achieve better upgrading effect.

Description

Remote upgrading method and system for multi-split air conditioner

Technical Field

The invention relates to the technical field of remote upgrading, and particularly provides a remote upgrading method and system for a multi-split air conditioner.

Background

The current Air conditioner industry is increasingly using OTA (Over-the-Air Technology) upgrade techniques to upgrade the firmware of the Air conditioner. Especially, in the use process of the multi-split air conditioner, the firmware upgrading requirement often exists. In the existing upgrading technology, a fixed firmware upgrading package is mainly configured to perform OTA upgrading. In the case of using such an upgrade method, different multi-split air conditioners are upgraded by using the firmware upgrade package, or are not upgraded. However, in the process of practical application, different operation scenes often exist in the multi-split air conditioner, and the remote upgrading method cannot perform differentiated firmware upgrading according to the different operation scenes, so that the optimal upgrading effect cannot be obtained.

Accordingly, there is a need in the art for a new remote upgrade scheme for a multi-split air conditioner to solve the above problems.

Disclosure of Invention

The present invention is proposed to overcome the above-mentioned drawbacks, and to provide a solution or at least partially solve the problem that the existing remote upgrade method cannot meet the requirements of differential upgrade in different operation scenarios and cannot achieve the best upgrade effect.

In a first aspect, the present invention provides a method for remotely upgrading a multi-split air conditioner, the method being applied to a remote server, the method including:

analyzing the operation data of each device in the multi-split air conditioner respectively to obtain the operation scene of each device;

respectively establishing an equipment portrait of each equipment according to the operation scene of each equipment and the equipment information of each equipment; wherein the device image includes a device scene tag corresponding to the operation scene and a device tag corresponding to the device information;

respectively matching upgrading programs for upgrading programs of each device according to the device portrait;

and applying the upgrading program to remotely upgrade the equipment.

In one technical solution of the remote upgrading method for the multi-split air conditioner, "analyzing the operation data of each device in the multi-split air conditioner respectively, and acquiring the operation scene of each device" includes:

acquiring a training sample, wherein the training sample comprises operation data of each device in the multi-split air conditioner when the device operates in different operation scenes, and a sample label of the training sample comprises scene information of the operation scenes;

carrying out scene recognition training on a preset XGboost model by using the training samples to obtain a scene recognition model;

and respectively identifying the operation scene of each device by adopting the scene identification model according to the operation data of each device to obtain the operation scene of each device.

In one embodiment of the above remote upgrade method for a multi-split air conditioner, the program tag of the upgrade program includes at least one program scene tag and at least one device tag, and the step of "matching the upgrade program for upgrading the program of each device according to the device representation" includes:

acquiring an initial upgrading program matched with the current equipment according to an equipment label in an equipment portrait of the current equipment and an equipment label in a program label of each upgrading program;

acquiring a program scene label which is the same as an equipment scene label of current equipment in the program labels of the current initial upgrading program and a preset weight of each program scene label aiming at each initial upgrading program;

performing weighted calculation according to each identical program scene label and the corresponding weight to obtain the matching degree of the current initial upgrading program;

and selecting the initial upgrading program with the highest matching degree as the final upgrading program matched with the current equipment.

In one technical solution of the above remote upgrading method for a multi-split air conditioner, each of the program scene tags of the upgrade program respectively represents different operation data of devices in the multi-split air conditioner, and the method further includes setting a weight of the program scene tag according to the following steps:

setting weights for program scene labels corresponding to each type of operation data respectively according to the influence degree of each type of operation data of equipment in the multi-split air conditioner on the operation efficiency of the equipment;

wherein the weight is positively correlated with the degree of influence.

In one technical solution of the remote upgrade method for the multi-split air conditioner, the step of applying the upgrade program to remotely upgrade the device includes:

when all the indoor units are in a closed state, the upgrading program is applied to remotely upgrade the equipment, wherein the equipment comprises at least one part of indoor units and/or at least one part of outdoor units;

and/or, when the equipment is an indoor unit, if the indoor environment temperature of the indoor space where the indoor unit is located is the same as the temperature set by the indoor unit and the indoor environment humidity of the indoor space is the same as the humidity set by the indoor unit, applying the upgrading program to remotely upgrade the equipment; when the equipment is at least a part of outdoor units or all indoor units, if the indoor environment temperature of the indoor space where each indoor unit is located is the same as the temperature set by each indoor unit and the indoor environment humidity of the indoor space where each indoor unit is located is the same as the humidity set by each indoor unit, the upgrading program is applied to remotely upgrade the equipment;

and/or after the step of applying the upgrade program and remotely upgrading the device, the method further comprises the following steps:

and acquiring the power consumption before and after the equipment is upgraded, and determining the upgrading effect of the equipment according to the power consumption.

In a second aspect, the present invention provides a remote upgrade system for a multi-split air conditioner, the system being applied to a remote server, the system comprising:

an operation scene obtaining module configured to analyze operation data of each device in the multi-split air conditioner, respectively, and obtain an operation scene of each device;

the device portrait establishing module is configured to respectively establish a device portrait of each device according to the operation scene of each device and the device information of each device; wherein the device image includes a device scene tag corresponding to the operation scene and a device tag corresponding to the device information;

an upgrade program matching module configured to match an upgrade program for program upgrading each of the devices, respectively, according to the device portrait;

a remote upgrade module configured to apply the upgrade program to remotely upgrade the device.

In one technical solution of the remote upgrade system for a multi-split air conditioner, the operation scene obtaining module includes:

a training sample obtaining unit configured to obtain a training sample, where the training sample includes operation data of each device in the multi-split air conditioner when the device operates in different operation scenes, and a sample label of the training sample includes scene information of the operation scenes;

the XGboost model training unit is configured to perform scene recognition training on a preset XGboost model by using the training samples to obtain a scene recognition model;

and the operation scene acquisition unit is configured to adopt the scene recognition model, respectively recognize the operation scene of each device according to the operation data of each device, and acquire the operation scene of each device.

In one technical solution of the remote upgrade system for a multi-split air conditioner, the program tag of the upgrade program includes at least one program scene tag and at least one device tag, and the upgrade program matching module includes:

an initial upgrade program acquisition unit configured to acquire an initial upgrade program matching the current device, based on a device tag in a device portrait of the current device and a device tag in a program tag of each upgrade program;

a program scene tag and weight acquiring unit configured to acquire, for each initial upgrade program, a program scene tag that is the same as an apparatus scene tag of a current apparatus among program tags of a current initial upgrade program, and a preset weight of each of the program scene tags;

the initial upgrade generation matching degree calculation unit is configured to perform weighting calculation according to each identical program scene label and the corresponding weight to obtain the matching degree of the current initial upgrade program;

and the final upgrading program selecting unit is configured to select the initial upgrading program with the highest matching degree as the final upgrading program matched with the current equipment.

In an embodiment of the remote upgrade system for a multi-split air conditioner, each of the program scene tags of the upgrade program respectively represents different operating data of devices in the multi-split air conditioner, and the system further includes a program scene tag weight setting module, where the program scene tag weight setting module is configured to perform the following steps:

wherein the weight is positively correlated with the degree of influence.

In an aspect of the above remote upgrade system for a multi-split air conditioner, the remote upgrade module is further configured to perform the following steps:

and/or, the system further comprises an upgrade effect determination module configured to perform the steps of:

One or more technical schemes of the invention at least have one or more of the following beneficial effects:

in the technical scheme of the implementation of the invention, the operation scene of the equipment is obtained by analyzing the operation data of each equipment in the multi-split air conditioner, the equipment portrait is established for each equipment by combining the equipment information, and the upgrading program for upgrading the equipment program is matched according to the equipment portrait so as to remotely upgrade the equipment. Through the configuration mode, the method and the system can realize automatic identification of the operation scene of the equipment in the multi-split air conditioner, establish the equipment portrait for the equipment in the multi-split air conditioner, automatically match the upgrading program of the equipment through the equipment portrait, realize accurate matching of the equipment and the optimal upgrading program adapting to the actual operation scene of the equipment, and enable the equipment after remote upgrading to achieve a better upgrading effect.

Drawings

The disclosure of the present invention will become more readily understood with reference to the accompanying drawings. As is readily understood by those skilled in the art: these drawings are for illustrative purposes only and are not intended to constitute a limitation on the scope of the present invention. Wherein:

fig. 1 is a flow chart illustrating main steps of a remote upgrade method of a multi-split air conditioner according to an embodiment of the present invention;

fig. 2 is a flowchart illustrating main steps of a remote upgrade method of a multi-split air conditioner according to an embodiment of the present invention;

fig. 3 is a schematic diagram of a main logic architecture of a remote upgrade method of a multi-split air conditioner according to an embodiment of the present invention;

fig. 4 is a schematic view of main components of a multi-split air conditioner according to an embodiment of the present invention;

FIG. 5 is a flow chart illustrating main steps of acquiring an operation scenario of a device according to an embodiment of the present invention;

FIG. 6 is a schematic flow chart illustrating main steps of acquiring an operation scenario of a device according to another embodiment of the present invention;

FIG. 7 is a flow diagram illustrating the main steps of an upgrade procedure for program upgrade per device from device portrait matching in accordance with one implementation of an embodiment of the present invention;

FIG. 8 is a diagram illustrating a FOTA firmware packaging format according to an embodiment of the present invention;

fig. 9 is a main block diagram of a remote upgrade system of a multi-split air conditioner according to an embodiment of the present invention.

Detailed Description

Some embodiments of the invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and are not intended to limit the scope of the present invention.

In the description of the present invention, a "module" or "processor" may include hardware, software, or a combination of both. A module may comprise hardware circuitry, various suitable sensors, communication ports, memory, may comprise software components such as program code, or may be a combination of software and hardware. The processor may be a central processing unit, a microprocessor, a digital signal processor, or any other suitable processor. The processor has data and/or signal processing functionality. The processor may be implemented in software, hardware, or a combination thereof. Non-transitory computer readable storage media include any suitable medium that can store program code, such as magnetic disks, hard disks, optical disks, flash memory, read-only memory, random-access memory, and the like. The term "a and/or B" denotes all possible combinations of a and B, such as a alone, B alone or a and B. The term "at least one A or B" or "at least one of A and B" means similar to "A and/or B" and may include only A, only B, or both A and B. The singular forms "a", "an" and "the" may include the plural forms as well.

Referring to fig. 1, fig. 1 is a schematic flow chart illustrating main steps of a remote upgrade method of a multi-split air conditioner according to an embodiment of the present invention. As shown in fig. 1, the remote upgrade method of the multi-split air conditioner in the embodiment of the present invention is applied to a remote server, and the remote upgrade method mainly includes the following steps S101 to S104.

Step S101: and analyzing the operation data of each device in the multi-split air conditioner respectively to obtain the operation scene of each device.

In this embodiment, the operation data of each device in the multi-split air conditioner may be analyzed respectively to obtain an operation scene of each device. The equipment in the multi-split air conditioner comprises, but is not limited to, an indoor unit and an outdoor unit, the operation data of the equipment comprises, but is not limited to, environmental information of the equipment, such as an altitude, equipment setting parameter information, such as a pipe length, equipment load information, such as the number of the starting-up equipment, and the like, the operation scene of the equipment refers to an operation state of the equipment obtained according to the operation data of the equipment, and the state information of the operation state at least comprises the operation data and the setting parameter information of the equipment.

In one embodiment, the initial operation data of the device may be parsed and cleaned by using a flink streaming processing technique and a windowing technique to obtain the device operation data required in step S101. The flink streaming processing technology is a framework and distributed big data processing technology, can perform stateful calculation on bounded data streams and unbounded data streams, can be deployed in various cluster environments, and can perform rapid calculation on data scales of various sizes. The windowing technique is a technique of defining a window, collecting data in the window, and calculating the data in the window.

Step S102: respectively establishing an equipment portrait of each equipment according to the operation scene of each equipment and the equipment information of each equipment; the device portrait includes a device scene tag corresponding to the operation scene and a device tag corresponding to the device information. The device information of the device refers to basic information of the device, and the device information includes, but is not limited to, a model number of the device, the number of indoor units, the number of outdoor units, and the like.

In this embodiment, a device representation of each device may be created according to the operation scene of each device and the device information of each device. The device picture may contain a device scene tag corresponding to the operation scene and a device tag corresponding to the device information. Specifically, an equipment scene label corresponding to the operation scene can be set according to the operation scene of the equipment, an equipment label corresponding to the equipment information can be set according to the equipment information, and the equipment portrait of the equipment is formed by the equipment scene label and the equipment label. The device scene tag may include an altitude, a tubing length, and the like, and the device tag may include a model number, a serial number, a unique code, and the like of the device.

Step S103: and respectively matching upgrading programs for upgrading programs of each device according to the device portrait.

In the present embodiment, an upgrade program for upgrading a program for each device may be individually matched according to a device profile of the device.

In one embodiment, the upgrade program may be a firmware package for the device to upgrade.

Step S104: and applying an upgrading program to remotely upgrade the equipment.

In this embodiment, the upgrade program obtained in step S103 may be applied to remotely upgrade the corresponding device.

In one embodiment, The remote upgrade may be a remote upgrade using OTA, FOTA (Firmware Over-The-Air) upgrade techniques.

Based on the steps S101 to S104, the present invention obtains the operation scene of the device by analyzing the operation data of each device in the multi-split air conditioner, creates a device image for each device in combination with the device information, and matches an upgrade program for upgrading the device according to the device image, so as to remotely upgrade the device. Through the configuration mode, the method and the system can realize automatic identification of the operation scene of the equipment in the multi-split air conditioner, establish the equipment portrait for the equipment in the multi-split air conditioner, automatically match the upgrading program of the equipment through the equipment portrait, realize accurate matching of the equipment and the optimal upgrading program adapting to the actual operation scene of the equipment, and enable the equipment after remote upgrading to achieve a better upgrading effect.

Step S101, step S103, and step S104 will be further described below.

In one implementation of the embodiment of the present invention, step S101 may include the following steps:

step S1011: the method comprises the steps of obtaining a training sample, wherein the training sample comprises operation data of each device in the multi-split air conditioner when the device operates in different operation scenes, and a sample label of the training sample comprises scene information of the operation scenes.

Step S1012: and carrying out scene recognition training on a preset XGboost model by adopting a training sample to obtain a scene recognition model.

Step S1013: and respectively identifying the operation scene of each device by adopting a scene identification model according to the operation data of each device to obtain the operation scene of each device.

It should be noted that, in this embodiment, a conventional model training method in the field of machine learning technology may be adopted to perform scene recognition training on a preset XGBoost model by using training samples, so as to obtain a scene recognition model, which is not described herein again.

In this embodiment, reference may be made to fig. 5, where fig. 5 is a schematic flow chart of main steps of acquiring an operation scene of a device according to an embodiment of the present invention, and as shown in fig. 5, operation data of each device in a multi-split air conditioner when the device operates in different operation scenes may be acquired, where the operation scenes may include a small office/villa scene, an apartment/shop scene, a hotel scene, a high altitude scene, and the like, the operation data of the device in the operation scenes are used as training samples, and sample tags of the training samples include scene information of the operation scenes. The method includes the steps of carrying out scene recognition training on a preset XGboost model by using training samples to obtain a scene recognition model, applying the scene recognition model, and respectively recognizing the operation scene of each device according to operation data of each device to obtain the operation scene of each device. Among them, the XGBoost (eXtreme Gradient Boosting) model is a model including a massively parallel Boosting tree.

In one implementation, reference may be made to fig. 6, where fig. 6 is a schematic flow chart illustrating main steps of an operation scenario of an acquisition device according to another implementation of an embodiment of the present invention. As shown in fig. 6, after the operation data of the device is acquired, the data may be uploaded to a data center, the data center performs feature extraction on the operation data by using a CNN (Convolutional Neural network) to reduce the dimensionality of the operation data and remove useless information to obtain the operation data associated with the operation scene, and further performs scene recognition training on the XGBoost model by using the operation data associated with the operation scene as a training sample.

In one implementation of the embodiment of the present invention, the program tag of the upgrade program may include at least one program scenario tag and at least one device tag. The program scene tag refers to a tag of an operation scene corresponding to a function that can be realized by the upgrade program, which may be the same as the device scene tag in the device representation in the foregoing embodiment; the device tag refers to a tag of device information of a device for remote upgrade to which the upgrade program can be applied, and may be the same as the device tag in the device representation in the foregoing embodiment. Step S103 may include the steps of:

step S1031: and acquiring an initial upgrading program matched with the current equipment according to the equipment label in the equipment portrait of the current equipment and the equipment label in the program label of each upgrading program.

Step S1032: and acquiring a program scene label which is the same as the equipment scene label of the current equipment in the program labels of the current initial upgrading program and the preset weight of each program scene label aiming at each initial upgrading program.

Step S1033: and performing weighted calculation according to each identical program scene label and the corresponding weight to obtain the matching degree of the current initial upgrading program.

Step S1034: and selecting the initial upgrading program with the highest matching degree as the final upgrading program matched with the current equipment.

In this implementation, reference is made to FIG. 7, where FIG. 7 is a flow diagram illustrating the main steps of an upgrade procedure for each device for program upgrade based on device profile matching, according to one implementation of an embodiment of the present invention. The version of the backplane program represents the version of a program applied to a backplane in the device, the Hex (hexadecimal) firmware file represents an upgrade program in a hexadecimal format, the Bin (binary) upgrade package represents the upgrade program in a binary format, the machine unique code represents a unique code for determining device identity information, the firmware package management refers to setting a program scene tag, setting a device tag, matching the firmware package and the like for the firmware package, the firmware package matching algorithm refers to the method described in the foregoing steps S1031 to S1034, the climate, the piping length, the model external machine and the like shown on the left side of fig. 7 represent program tags (including the program scene tag and the device tag), and the climate, the number of internal machines, the number of external machines and the like shown on the right side of fig. 7 represent device drawings of the device. As shown in fig. 7, an initial upgrade program matching the current device may be acquired from a device tag in the device representation of the current device and a device tag in the program tag of each upgrade program (firmware package). That is, the acquired initial upgrade program is an upgrade program that can be applied to the current device. Further, for each initial upgrade program, a program scene tag in the program tags of the current initial upgrade program, which is the same as the device scene tag of the current device, and a preset weight of the program scene tag may be obtained, and a weighting calculation is performed according to each identical scene tag and the respective corresponding weight to obtain a matching degree of each initial upgrade program, and the initial upgrade program with the highest matching degree is selected as a final upgrade program matched with the current device.

In an implementation manner of the embodiment of the present invention, each program scene tag of the upgrade program may respectively represent different operation data of the devices in the multi-split air conditioner, and the present invention may further include, according to the following step S105, in addition to the above-mentioned step S101 to step S104, a weight of the program scene tag may be set according to the step S105:

step S105: respectively setting weights for program scene labels corresponding to each type of operation data according to the influence degree of each type of operation data of equipment in the multi-split air conditioner on the operation efficiency of the equipment; the weight is positively correlated with the influence degree, that is, the weight is larger when the influence degree is larger, and the weight is smaller when the influence degree is smaller. In the present embodiment, the degree of influence of the operation data on the operation efficiency of the plant means the degree of influence on the improvement of the operation efficiency.

In this embodiment, each program scene tag of the upgrade program may represent different operation data of the device in the multi-split air conditioner, and a weight may be set for each program scene tag corresponding to each type of operation data according to an influence degree of each type of operation data of the device in the multi-split air conditioner on the operation efficiency of the device, where the set weight is positively correlated to the influence degree of the corresponding operation data. Specifically, the program scene label with the higher influence degree on the equipment operation efficiency can be set with a higher weight, and the program scene label with the lower influence degree on the equipment operation efficiency can be set with a higher weight, so that in the process of matching the upgrading program, the upgrading program which is more beneficial to improving the equipment operation efficiency can be selected to carry out remote upgrading on the equipment according to the matching degree. It should be noted that, in this embodiment, the degree of influence of the operation data represented by different program scene tags on the operation efficiency of the equipment may be determined by a method for testing the multi-split air conditioner, for example, the length of the piping may be changed without changing other parameters, the operation efficiency of the equipment under different piping lengths may be obtained, so as to determine the degree of influence of different program scene tags corresponding to different piping lengths on the operation efficiency of the equipment, and further, the weight of the program scene tag corresponding to different piping lengths may be set according to the different degree of influence. It should be noted that, although the embodiment provides only one method for determining the influence degree of the operation data represented by the different program scene tags on the operation efficiency of the equipment through a method for testing the multi-split air conditioner, it can be understood by those skilled in the art that, without departing from the technical principle of the present invention, those skilled in the art may use other methods to determine the influence degree of the operation data represented by the different program scene tags on the operation efficiency of the equipment, and the modified solutions of these methods still fall within the protection scope of the present invention.

In one embodiment, tags may be modeled to specify valid tags, and device scenario tags, program scenario tags, and device tags may all be selected from the valid tags.

In one implementation manner of the embodiment of the present invention, step S104 may include:

step S1041: and when all the indoor units are in the closed state, the upgrading program is applied to remotely upgrade the equipment, namely the equipment is upgraded noninductively, wherein the equipment comprises at least one part of indoor units and/or at least one part of outdoor units.

In this embodiment, after the upgrade program for upgrading the program of the device is matched to the device, the device may be remotely upgraded by using the upgrade program obtained in step S103 when all indoor units of the multi-split air conditioner are in an off state. The equipment may comprise at least a part of the indoor unit and/or at least a part of the outdoor unit.

In an implementation manner of the embodiment of the present invention, step S104 may further include:

step S1042: when the equipment is an indoor unit, if the indoor environment temperature of the indoor space where the indoor unit is located is the same as the temperature set by the indoor unit and the indoor environment humidity of the indoor space is the same as the humidity set by the indoor unit, applying an upgrading program to remotely upgrade the equipment; when the equipment is at least a part of outdoor units or all indoor units, if the indoor environment temperature of the indoor space where each indoor unit is located is the same as the temperature set by each indoor unit and the indoor environment humidity of the indoor space where each indoor unit is located is the same as the humidity set by each indoor unit, the upgrading program is applied to remotely upgrade the equipment, and the mild upgrade of the equipment is realized.

In this embodiment, when the device is an indoor unit, if the indoor ambient temperature of the indoor space where the indoor unit is located is the same as the temperature set by the indoor unit and the indoor ambient humidity of the indoor space is the same as the humidity set by the indoor unit, the upgrade program obtained in step S103 may be applied to remotely upgrade the device. When the device is at least a part of the outdoor units or all the indoor units, if the indoor environment temperature of the indoor space in which each indoor unit is located is the same as the temperature set by each indoor unit and the indoor environment humidity of the indoor space in which each indoor unit is located is the same as the humidity set by each indoor unit, the application upgrade program obtained in step S103 may be applied to remotely upgrade the device.

In one implementation of the embodiment of the present invention, the present invention further includes the following step S106:

step S106: and acquiring the power consumption before and after the equipment is upgraded, and determining the upgrading effect of the equipment according to the power consumption.

In this embodiment, after the remote upgrade of the device is completed in step S104, the power consumption before and after the upgrade of the device may be obtained, and the upgrade effect of the device may be determined according to the power consumption. Meanwhile, the operation data of the equipment can be further monitored to upload to the remote server, and a new operation scene is continuously identified, so that the steps S101 to S106 are repeatedly executed.

The main process and the logical architecture composition of the remote upgrade method of the multi-split air conditioner are described in detail with reference to fig. 2 and 3, where fig. 2 is a schematic flow chart of the main steps of the remote upgrade method of the multi-split air conditioner according to an embodiment of the present invention, and fig. 3 is a schematic diagram of the main logical architecture of the remote upgrade method of the multi-split air conditioner according to an embodiment of the present invention. As shown in fig. 2 and 3, in the process of performing upgrade program matching and remote upgrade on the devices in the multi-split air conditioner, the upgrade effect of the devices can be monitored, and the device portrait can be dynamically updated; the equipment can ensure the safety and reliability of the equipment upgrading process in the upgrading process; the firmware package can be accurately matched (upgraded) according to the equipment portrait, and the firmware package is dynamically packaged; in the upgrading process, strict control of the upgrading process can be realized. The above process is mainly implemented by the logic architecture of fig. 3, and specifically, the device in the multi-split air conditioner may be connected to a remote server through an Internet of Things module, where the remote server may include a configurable IoT (Internet of Things) platform, a platform service logic center, and the multi-split platform. The configurable IoT platform can realize the functions of configuration management, module management, equipment management and system management, and can realize the functions of cleaning of running data, security authentication and permission policy. The platform service logic center can realize the functions of scene recognition, equipment portrait, upgrade effect monitoring, firmware matching, firmware management and the like. The multi-online platform can realize the functions of scene customization, centralized management, data analysis, equipment monitoring, data export, message service and the like.

In one embodiment, in order to ensure the effect of remote upgrading of the equipment, when an upgrading task is generated, a notification can be sent to a technician in a form of a short message, and the technician can check and examine the upgrading task through the cloud service platform. And after the upgrading task passes the audit, message pushing can be carried out on the relevant user in the forms of App and short message, after the user agrees to carry out remote upgrading, the corresponding upgrading task enters a state to be upgraded, and when the remote upgrading condition is met, the equipment can be remotely upgraded.

In one embodiment, the method described in step S1041 or step S1042 may be selected to perform remote upgrade of the device, or the user may select to immediately force upgrade.

In one embodiment, in order to ensure the security and success rate of the remote upgrade of the device, an a/B system upgrade scheme may be used, that is, when the a system is upgraded, a program before the upgrade may be stored in the B system in advance, and if the device upgrade is successful, the a system is used, and if the device upgrade is failed, the B system is used. It should be noted that the a/B system upgrade scheme is a conventional OTA upgrade method in the art, and the working principle thereof is not described herein again.

In one embodiment, to ensure security relating to the upgrade process, Unique Key encryption technology may be used. The Unique Key is Unique to a specific indoor unit node, and the Unique Key is used as a Unique identity address for verification in the process of remote upgrading of equipment. And the outdoor unit issues a commissioning key according to the indoor unit node list. And the indoor unit node decrypts and joins the network by using the acquired commissioning Key, acquires an upgrading program for remote upgrading, and does not reply or send communication data for signals without the Unique Key.

In one embodiment, after the upgrade program is obtained, an upgrade package may be generated in combination with the device information, that is, the upgrade program is encrypted and encapsulated to generate the upgrade package for remote upgrade of the device. Reference may be made in detail to fig. 8, wherein fig. 8 is a diagram illustrating a FOTA firmware packaging format according to an embodiment of the invention. As shown in fig. 8, the upgrade package may use a uniform packaging format that may support a remote upgrade service of devices within the multi-split air conditioner. The upgrade package information contains the unique identification code of the multi-split air conditioner, so that the non-target machine is prevented from being upgraded by mistake. The meanings of the main parameters in fig. 8 are as follows:

checking the bit: judging whether the corresponding data is correct or not;

firmware packaging version number: identifying the packaging mode version of the firmware package;

the firmware package supports the number of upgraded bottom plates: identifying how many backplane program upgrades this firmware package supports. I.e., the number of target backplanes;

the number of BIN files loaded in the firmware package is as follows: and identifying the total number of BIN files of the firmware package. Because a plurality of versions of the backplane programs may be upgraded to the same version, the number of BIN files is less than or equal to the number of the backplanes supporting the upgrade.

And (4) coding the whole machine: the firmware package corresponds to the whole machine model code. Optionally, no whole machine code representation is specified to allow all machines to be upgraded.

Daughter board number: and identifying the daughter board number needing to be upgraded. When the multiple daughter boards are upgraded, which daughter board is to be upgraded is identified.

Bottom board software identifier to be upgraded: program identification of the daughter board.

The current version number of the bottom plate to be upgraded is as follows: the current program version of the daughter board that needs to be upgraded.

Source code software identifier: and marking the program of the bottom plate corresponding to the source code.

Source code version number: version number after program upgrade.

Source code start line: the starting number of lines of the BIN.

Source code end line: the number of ending lines of this BIN.

In one embodiment, refer to fig. 4, wherein fig. 4 is a schematic diagram of main components of a multi-split air conditioner according to an embodiment of the present invention. As shown in fig. 4, after the update task is checked, the remote server (based on the cloud platform) may send the update instruction to the internet of things gateway by using MQTT (Message queue Telemetry Transport), and at the same time, download the update program from the remote server by using HTTPS (Hyper Text Transfer Protocol over Secure Socket Layer), check the update program according to the check bits after the update program is downloaded, and send the update instruction to the external unit host of the multi-split air conditioner by using RS485 Protocol after the check is passed, and report the update instruction to the remote server to start updating. After receiving an upgrade instruction, the external machine mainframe reads the content of the first 132 bytes of the upgrade program, acquires the quantity information of equipment to be upgraded according to the quantity of bottom plates which are supported and upgraded by the firmware package and the quantity of BIN files loaded by the firmware package in the upgrade program, finds a sub machine (equipment) to be upgraded according to the daughter board number in the bottom plate characteristic information to be upgraded, and judges whether the upgrade is needed according to the source code software identifier and the source code version number in the bottom plate software identifier to be upgraded, the current version number of the bottom plate to be upgraded and the source code characteristic information; after the upgrade is confirmed, reading the firmware content according to a source code initial line in the source code characteristic information, reading 132 bytes each time, if the upgraded bottom plate is confirmed to be the slave plate according to the daughter plate number, directly upgrading, if the upgraded bottom plate is confirmed to be other slave machines according to the daughter plate number, continuously reading until reading the line number represented by the source code end line, wherein the line number needs to be transmitted to other slave machines through an HBS (Home Bus System) protocol. If the upgrading program comprises upgrading of a plurality of sub machines, the upgrading is carried out sequentially. After the upgrade is finished, the bottom plate of the equipment and the Internet of things gateway return an upgrade result, and if the upgrade is successful, the Internet of things gateway deletes the upgrade program.

It should be noted that, although the foregoing embodiments describe each step in a specific sequence, those skilled in the art will understand that, in order to achieve the effect of the present invention, different steps do not necessarily need to be executed in such a sequence, and they may be executed simultaneously (in parallel) or in other sequences, and these changes are all within the protection scope of the present invention.

Further, the invention also provides a remote upgrading system of the multi-split air conditioner.

Referring to fig. 9, fig. 9 is a main structural block diagram of a remote upgrade system of a multi-split air conditioner according to an embodiment of the present invention. As shown in fig. 9, the remote upgrade system of a multi-split air conditioner in the embodiment of the present invention may be applied to a server, and the remote upgrade system of a multi-split air conditioner may include an operation scene obtaining module, an equipment representation establishing module, an upgrade program matching module, and a remote upgrade module. In this embodiment, the operation scene obtaining module may be configured to analyze the operation data of each device in the multi-split air conditioner, respectively, and obtain the operation scene of each device. The device portrait creation module may be configured to create a device portrait for each device, respectively, according to the operation scene of each device and the device information of each device; the device portrait includes a device scene tag corresponding to the operation scene and a device tag corresponding to the device information. The upgrade program matching module may be configured to match the upgrade programs for program-upgrading each device, respectively, according to the device images. The remote upgrade module may be configured to apply an upgrade program to remotely upgrade the device.

In one embodiment, the operation scene obtaining module may include a training sample obtaining unit, an XGBoost model training unit, and an operation scene obtaining unit. In this embodiment, the training sample obtaining unit may be configured to obtain a training sample, where the training sample includes operation data of each device in the multi-split air conditioner when the device operates in different operation scenes, and a sample label of the training sample includes scene information of the operation scenes. The XGboost model training unit can be configured to perform scene recognition training on a preset XGboost model by using training samples to obtain a scene recognition model. The operation scene obtaining unit may be configured to adopt a scene recognition model, and respectively recognize the operation scene of each device according to the operation data of each device, so as to obtain the operation scene of each device.

In one embodiment, the program tag of the upgrade program may include at least one program scene tag and at least one device tag, and the upgrade program matching module may include an initial upgrade program obtaining unit, a program scene tag and weight obtaining unit, an initial upgrade generation matching degree calculating unit, and a final upgrade program selecting unit. In this embodiment, the initial upgrade program acquisition unit may be configured to acquire an initial upgrade program matching the current device from a device tag in a device representation of the current device and a device tag in a program tag of each upgrade program. The program scene tag and weight acquiring unit may be configured to acquire, for each initial upgrade program, a program scene tag that is the same as the device scene tag of the current device among the program tags of the current initial upgrade program, and a preset weight of each program scene tag. The initial upgrade generation matching degree calculation unit may be configured to perform weighting calculation according to each identical program scene tag and the respective corresponding weight, so as to obtain the matching degree of the current initial upgrade program. The final upgrade program selecting unit may be configured to select the initial upgrade program with the highest matching degree as the final upgrade program matched with the current device.

In one embodiment, each program scene tag of the upgrade program may respectively represent different operation data of the devices in the multi-split air conditioner, and the system may further include a program scene tag weight setting module configured to perform the following steps: respectively setting weights for program scene labels corresponding to each type of operation data according to the influence degree of each type of operation data of equipment in the multi-split air conditioner on the operation efficiency of the equipment; wherein the weight is positively correlated with the degree of influence.

In one embodiment, the remote upgrade module may be further configured to perform the steps of: and when all the indoor units are in the closed state, applying an upgrading program to remotely upgrade the equipment, wherein the equipment comprises at least one part of indoor units and/or at least one part of outdoor units.

In one embodiment, the remote upgrade module may be further configured to perform the steps of: when the equipment is an indoor unit, if the indoor environment temperature of the indoor space where the indoor unit is located is the same as the temperature set by the indoor unit and the indoor environment humidity of the indoor space is the same as the humidity set by the indoor unit, applying an upgrading program to remotely upgrade the equipment; when the equipment is at least a part of outdoor units or all indoor units, if the indoor environment temperature of the indoor space where each indoor unit is located is the same as the temperature set by each indoor unit and the indoor environment humidity of the indoor space where each indoor unit is located is the same as the humidity set by each indoor unit, the upgrading program is applied to remotely upgrade the equipment.

In one embodiment, the remote upgrade system of the multi-split air conditioner may further include an upgrade effect determination module. In this embodiment, the upgrade effect determination module may be configured to perform the following steps: and acquiring the power consumption before and after the equipment is upgraded, and determining the upgrading effect of the equipment according to the power consumption.

The technical principles, the solved technical problems, and the generated technical effects of the remote upgrade system for a multi-split air conditioner described above are similar for implementing the embodiment of the remote upgrade method for a multi-split air conditioner shown in fig. 1, and it can be clearly understood by those skilled in the art that for convenience and brevity of description, the contents described in the embodiment of the remote upgrade method for a multi-split air conditioner may be referred to for specific working processes and related descriptions of the remote upgrade system for a multi-split air conditioner, and are not described herein again.

It will be understood by those skilled in the art that all or part of the flow of the method according to the above-described embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used to implement the steps of the above-described embodiments of the method when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying said computer program code, media, usb disk, removable hard disk, magnetic diskette, optical disk, computer memory, read-only memory, random access memory, electrical carrier wave signals, telecommunication signals, software distribution media, etc. It should be noted that the computer readable storage medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable storage media that does not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.

Further, it should be understood that, since the configuration of each module is only for explaining the functional units of the apparatus of the present invention, the corresponding physical devices of the modules may be the processor itself, or a part of software, a part of hardware, or a part of a combination of software and hardware in the processor. Thus, the number of individual modules in the figures is merely illustrative.

Those skilled in the art will appreciate that the various modules in the apparatus may be adaptively split or combined. Such splitting or combining of specific modules does not cause the technical solutions to deviate from the principle of the present invention, and therefore, the technical solutions after splitting or combining will fall within the protection scope of the present invention.

So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.

Claims

1. A remote upgrading method of a multi-split air conditioner is applied to a remote server, and comprises the following steps:

and applying the upgrading program to remotely upgrade the equipment.

2. The remote upgrading method of a multi-split air conditioner according to claim 1, wherein the step of analyzing the operation data of each device in the multi-split air conditioner, and acquiring the operation scene of each device, respectively, comprises:

3. The remote upgrade method of a multi-split air conditioner according to claim 2, wherein the program tags of the upgrade program include at least one program scene tag and at least one device tag, and the step of individually matching the upgrade program for program upgrade of each of the devices according to the device representation includes:

4. The method for remotely upgrading an air conditioner according to claim 3, wherein each of the program scene tags of the upgrade program respectively represents different operation data of devices within the multi-split air conditioner, the method further comprising setting weights of the program scene tags according to the following steps:

wherein the weight is positively correlated with the degree of influence.

5. The remote upgrade method of a multi-split air conditioner according to claim 1, wherein the step of remotely upgrading the device by applying the upgrade program comprises:

when all the indoor units are in a closed state, the upgrading program is applied to remotely upgrade the equipment, wherein the equipment comprises at least one part of indoor units and/or at least one part of outdoor units; and/or the presence of a gas in the gas,

when the equipment is an indoor unit, if the indoor environment temperature of the indoor space where the indoor unit is located is the same as the temperature set by the indoor unit and the indoor environment humidity of the indoor space is the same as the humidity set by the indoor unit, the equipment is remotely upgraded by applying the upgrading program; when the equipment is at least a part of outdoor units or all indoor units, if the indoor environment temperature of the indoor space where each indoor unit is located is the same as the temperature set by each indoor unit and the indoor environment humidity of the indoor space where each indoor unit is located is the same as the humidity set by each indoor unit, the upgrading program is applied to remotely upgrade the equipment; and/or the presence of a gas in the gas,

after the step of "applying the upgrade program, remotely upgrading the device", the method further comprises:

6. A remote upgrading system of a multi-split air conditioner is applied to a remote server and comprises:

7. The remote upgrade system of a multi-split air conditioner according to claim 6, wherein the operation scene acquisition module includes:

8. The remote upgrade system of a multi-split air conditioner according to claim 7, wherein the program tags of the upgrade program include at least one program scene tag and at least one device tag, and the upgrade program matching module includes:

9. The remote upgrade system of a multi-split air conditioner according to claim 8, wherein each of the program scene tags of the upgrade program respectively represents different operation data of devices within the multi-split air conditioner, the system further comprising a program scene tag weight setting module configured to perform the steps of:

wherein the weight is positively correlated with the degree of influence.

10. The remote upgrade system of a multi-split air conditioner as claimed in claim 6, wherein the remote upgrade module is further configured to perform the steps of:

the system further comprises an upgrade effect determination module configured to perform the steps of: