CN220911625U - Air conditioner health evaluation system - Google Patents

Abstract

The utility model provides an air conditioner health evaluation system, and relates to the technical field of air conditioners. The air conditioner health evaluation system includes: the system comprises a data acquisition unit, a cloud platform unit and a user unit, wherein the data acquisition unit is connected with an air conditioning system and the cloud platform unit, and the user unit is in communication connection with the cloud platform unit; the data acquisition unit is used for acquiring real-time operation data of the air conditioning system and uploading the real-time operation data to the cloud platform unit; the cloud platform unit is used for determining the health grade of the air conditioning system according to the real-time operation data; the user unit is used for sending an acquisition request to the cloud platform unit so as to acquire the health grade of the air conditioning system. The problem that a user can only rely on own experience and seek the help of maintenance personnel to solve the health of the air conditioning system is solved.

Description

Air conditioner health evaluation system

Technical Field

The utility model relates to the technical field of air conditioners, in particular to an air conditioner health assessment system.

Background

With the development of social economy, the application market of the multi-connected central air conditioning unit is wider and wider. Because the internal structure of the multi-split air conditioner is complex, the actual installation and operation environment is uncontrollable, the occurrence of health under long-time operation is difficult to avoid. Once healthy, detection and maintenance of the air conditioning system is relatively cumbersome.

In the related art, users can only rely on their own experience and seek the help of maintenance personnel to solve the health of the air conditioning system, so that the method is time-consuming and labor-consuming and has low intelligent degree.

Disclosure of utility model

The embodiment of the utility model provides an air conditioner health assessment system, which aims to solve the problem that the prior user can only rely on own experience and seek the help of maintenance personnel to solve the health of an air conditioner system.

In order to solve the technical problems, the utility model is realized as follows:

In a first aspect, an embodiment of the present application provides an air conditioner health evaluation system, including:

The system comprises a data acquisition unit, a cloud platform unit and a user unit, wherein the data acquisition unit is connected with an air conditioning system and the cloud platform unit, and the user unit is in communication connection with the cloud platform unit;

The data acquisition unit is used for acquiring real-time operation data of the air conditioning system and uploading the real-time operation data to the cloud platform unit;

The cloud platform unit is used for determining the health grade of the air conditioning system according to the real-time operation data;

The user unit is used for sending an acquisition request to the cloud platform unit so as to acquire the health grade of the air conditioning system.

The technical scheme provided by the embodiment of the application at least has the following beneficial effects: firstly, operation data of an air conditioning system are collected in real time through a data collection unit and uploaded to a cloud platform unit for processing and analysis. This allows the user to send an acquisition request to the cloud platform unit via the user unit at any time, to acquire the health level of the air conditioning system. The user can timely know the health state of the air conditioner and discover potential problems as soon as possible. And the cloud platform unit processes and analyzes the acquired air-conditioning data by utilizing the data mining and the artificial intelligence algorithm model. Through these algorithmic models, the system is able to detect and diagnose progressive faults of the air conditioner. The automated diagnosis process can help the user to evaluate the health condition of the air conditioner more accurately, and reduce errors of subjective judgment. Through data acquisition and analysis of the air conditioning system, the system can detect gradual faults of the air conditioner. In this way, the user can be warned before the fault occurs and take corresponding measures, such as timely maintenance or replacement of the components, to avoid further deterioration of the fault or inconvenience to the user. The user unit is in communication connection with the cloud platform unit, and the user can send an acquisition request to the cloud platform unit through the user unit to acquire the health grade of the air conditioning system. The design ensures that the user is easy and convenient to operate, the health condition of the air conditioning system can be obtained anytime and anywhere, and the convenience of the user for managing and maintaining the air conditioning system is improved.

In some embodiments, an air conditioning system includes:

An outdoor unit;

The indoor unit comprises a plurality of indoor units connected in parallel;

The data acquisition unit comprises at least one air conditioner sensor module and a first communication module;

the air conditioner sensor module is used for collecting first real-time operation data of the outdoor unit and second real-time operation data of the indoor unit and transmitting the first real-time operation data and the second real-time operation data to the first communication module;

The first communication module is used for sending the first real-time operation data and the second real-time operation data to the cloud platform unit according to a preset communication mode and receiving feedback information sent by the cloud platform unit, wherein the preset communication mode at least comprises one of Bluetooth communication and wireless communication.

In some embodiments, the cloud platform unit includes a second communication module, a data subscription management module, and a data processing module, where the data subscription management module is connected to the second communication module and the data processing module, respectively;

The second communication module is used for receiving the first real-time operation data and the second real-time operation data sent by the first communication module and transmitting the first real-time operation data and the second real-time operation data to the data subscription management module;

The data subscription management module is used for carrying out data distribution management on the first real-time operation data and the second real-time operation data;

the data processing module is used for receiving the first real-time operation data and the second real-time operation data subscribed from the data subscription management module and preprocessing the data to obtain target real-time operation data.

In some embodiments, the data processing module includes a data conversion sub-module, a data matching sub-module and a data processing sub-module,

The data matching submodule is respectively connected with the data conversion submodule and the data processing submodule;

The data conversion submodule is used for receiving the first real-time operation data and the second real-time operation data subscribed from the data subscription management module and storing the first real-time operation data and the second real-time operation data into the database;

The data matching sub-module is used for matching and integrating the first real-time operation data and the second real-time operation data in the database to obtain target real-time operation data;

The data processing submodule is used for carrying out characteristic processing on the target real-time operation data so as to obtain characteristic data of the target real-time operation data.

In some embodiments, the cloud platform unit further comprises a health diagnosis module, the health diagnosis module being connected with the data processing module;

The health diagnosis module is used for acquiring the characteristic data of the target real-time operation data from the data processing sub-module, determining the health grade of the air conditioning system according to the characteristic data of the target real-time operation data, and sending the health grade of the air conditioning system to the data processing sub-module.

In some embodiments, the health diagnosis module includes a health diagnosis sub-module and a health assessment sub-module, the health diagnosis sub-module being connected to the health assessment sub-module;

The health diagnosis sub-module is used for acquiring the characteristic data of the target real-time operation data from the data processing sub-module and determining whether the air conditioning system has faults or not according to the characteristic data of the target real-time operation data;

the health evaluation sub-module is used for determining the health evaluation score of the air conditioning system according to the characteristic data of the target real-time operation data under the condition that the air conditioning system has faults, determining the health grade of the air conditioning system according to the health evaluation score, and transmitting the health grade and the health evaluation score to the data processing sub-module.

In some embodiments, the cloud platform unit further comprises a third communication module;

The third communication module is used for acquiring the health grade and the health evaluation score from the data processing submodule after receiving the acquisition request sent by the user unit, and sending the health grade and the health evaluation score to the user unit.

In some embodiments, the subscriber unit includes an input module and a fourth communication module, the input module being coupled to the fourth communication module;

The input module is used for responding to an instruction input by a user, generating an acquisition request and transmitting the acquisition request to the fourth communication module for connection;

The fourth communication module is connected to send the acquisition request to the third communication module and receive the health grade and the health assessment score sent by the third communication module.

In some embodiments, the subscriber unit further comprises a suggestion module, the suggestion module being coupled to the fourth communication module;

The suggestion module is used for obtaining the health grade and the health assessment score from the fourth communication module and generating maintenance suggestions of the air conditioning system according to the health grade and the health assessment score.

In some embodiments, the subscriber unit further comprises a display module, the display module being coupled to the suggestion module;

the display module is used for displaying the health grade, the health evaluation score and the maintenance suggestion of the air conditioning system.

Drawings

In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the utility model, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic structural diagram of a connection principle of an air conditioner health evaluation system according to an embodiment of the present utility model;

Fig. 2 is a schematic structural diagram of a connection principle of another air conditioner health evaluation system according to an embodiment of the present utility model;

FIG. 3 is a schematic diagram of a connection principle structure of another air conditioner health assessment system according to an embodiment of the present utility model;

fig. 4 is a schematic structural diagram of a connection principle of another air conditioner health assessment system according to an embodiment of the present utility model;

fig. 5 is a schematic structural diagram of a connection principle of another air conditioner health evaluation system according to an embodiment of the present utility model;

fig. 6 is a schematic structural diagram of a connection principle of another air conditioner health assessment system according to an embodiment of the present utility model;

fig. 7 is a schematic structural diagram of a connection principle of another air conditioner health evaluation system according to an embodiment of the present utility model;

Fig. 8 is a schematic structural diagram of a connection principle of another air conditioner health assessment system according to an embodiment of the present utility model;

Fig. 9 is a schematic structural diagram of a connection principle of another air conditioner health evaluation system according to an embodiment of the present utility model;

fig. 10 is a schematic structural diagram of a connection principle of another air conditioner health assessment system according to an embodiment of the present utility model.

Reference numerals: 1. an air conditioning health assessment system; 11. a data acquisition unit; 12. a cloud platform unit; 13. a subscriber unit; 14. an air conditioning system; 111. an air conditioner sensor module; 112. a first communication module; 121. a second communication module; 122. a data subscription management module; 123. a data processing module; 1231. a data conversion sub-module; 1232. a data matching sub-module; 1233. a data processing sub-module; 124. a health diagnosis module; 1241. a health diagnosis sub-module; 1242. a health evaluation molecular module; 125. a third communication module; 131. an input module; 132. a fourth communication module; 133. a suggestion module; 134. and a display module.

Detailed Description

Embodiments of the present utility model will be described in detail below with reference to the accompanying drawings.

In the description of the present utility model, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present utility model and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present utility model.

The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present utility model, unless otherwise indicated, the meaning of "a plurality" is two or more.

In the description of the present utility model, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present utility model will be understood in specific cases by those of ordinary skill in the art.

In describing some embodiments, the expression "connected" and its derivatives may be used. For example, the term "connected" may be used in describing some embodiments to indicate that two or more elements are in direct physical or electrical contact with each other. The embodiments disclosed herein are not necessarily limited to the disclosure herein.

The use of "adapted" or "configured to" herein is meant to be an open and inclusive language that does not exclude devices adapted or configured to perform additional tasks or steps.

As is known in the art, the internal structure of existing air conditioning systems is relatively complex, including a number of critical components and parts, such as compressors, evaporators, condensers, sensors, controllers, etc. These components are interdependent and work cooperatively to provide a comfortable indoor environment.

However, air conditioning systems face some challenges due to the uncontrollability of the actual installation and operating environment. First, air conditioning systems are often subjected to different workloads and environmental conditions, such as temperature changes, humidity changes, and air pollution. These factors can negatively impact the proper operation of the system, leading to performance degradation and health. In particular, the system may suffer from various soft health. Soft health refers to a situation where the performance of a device is degraded for a number of reasons. For example, refrigerant leakage may lead to a reduced refrigeration effect and compressor wear may lead to a reduced refrigeration capacity. These soft health are typically due to gradual aging, wear or damage to system components. These health conditions may not be immediately perceived and are difficult to detect and diagnose during the early stages.

Also, these soft health conditions may have more serious consequences if not handled in time. First, soft health can cause premature failure of components of the air conditioning system, accelerating the aging process of the system. This not only increases the cost of maintaining and replacing the components, but may also result in a decrease in the overall performance of the system. Second, soft health may lead to reduced comfort for personnel and failure to provide desired indoor temperature and humidity control. This is unacceptable to users in residential, commercial or industrial environments. Finally, soft health also results in wasted energy, as the system may require more energy to achieve the desired temperature and humidity conditions in a degraded performance state.

In view of this problem, the applicant has proposed the technical idea of the present application: based on the method of data acquisition, processing and analysis, the traditional air conditioner health diagnosis algorithm model is combined to detect and diagnose the gradual health of the air conditioner. Through the technical means, the user can know the health state of the central air conditioner in real time, perform health pre-diagnosis, and provide health diagnosis results and treatment suggestions for the user.

Based on this, some embodiments of the present application provide an air conditioner health assessment system, and the air conditioner health assessment system and the air conditioner are described below.

As shown in fig. 1, fig. 1 is a schematic structural diagram of an air conditioner health evaluation system 1 according to an embodiment of the present utility model, which includes a data acquisition unit 11, a cloud platform unit 12, and a user unit 13, wherein the data acquisition unit 11 is connected with an air conditioning system 14 and the cloud platform unit 12, and the user unit 13 is connected with the cloud platform unit 12 in a communication manner;

The data acquisition unit 11 is used for acquiring real-time operation data of the air conditioning system 14 and uploading the real-time operation data to the cloud platform unit 12;

The cloud platform unit 12 is configured to determine a health level of the air conditioning system 14 according to the real-time operation data;

the user unit 13 is configured to send an acquisition request to the cloud platform unit 12 to acquire the health level of the air conditioning system 14.

In this embodiment, the whole air conditioning health assessment system 1 can be divided into three major parts from the whole architecture, and the part of the data acquisition unit 11 is responsible for acquiring the operation data of the air conditioning system 14, such as temperature, humidity, pressure, and other parameters in real time. It may include sensors or other devices for acquiring such data. The collected data is uploaded to the next component, the cloud platform unit 12.

This part of the cloud platform unit 12 receives real-time operation data uploaded from the data acquisition unit 11 and determines the health level of the air conditioning system 14 from these data. The health level may represent the health status of the air conditioning system 14, typically divided according to the severity of the health. The cloud platform unit 12 has data processing and analysis functions and can use data mining and artificial intelligence algorithm models to analyze and evaluate real-time data. This part of the user unit 13 allows the user to interact with the cloud platform unit 12.

The user may send a request to the cloud platform unit 12 to obtain a health level of the air conditioning system 14. This means that the user can query the health status of the air conditioning system 14 and learn the health level information through the corresponding application or interface.

The data acquisition unit 11 is responsible for acquiring real-time operation data of the air conditioning system 14 and uploading the data to the cloud platform unit 12. The cloud deck unit 12 uses these real-time data to determine the health level of the air conditioning system 14, which is assessed by data processing and analysis methods. Finally, the user may send a request to the cloud platform unit 12 through the user unit 13 to obtain the health level information of the air conditioning system 14, thereby constructing a health assessment system that can help the user intuitively understand the health of the air conditioning system 14 and can provide the user with accurate maintenance advice, so that the user can conveniently obtain and monitor the health status of the air conditioning system 14, so as to take appropriate measures in time to maintain and repair the air conditioning equipment.

In some embodiments, as shown in fig. 2, the data acquisition unit 11 includes at least one air conditioning sensor module 111 and a first communication module 112;

the air conditioner sensor module 111 is configured to collect first real-time operation data of the outdoor unit and second real-time operation data of the indoor unit, and transmit the first real-time operation data and the second real-time operation data to the first communication module 112;

The first communication module 112 is configured to send the first real-time operation data and the second real-time operation data to the cloud platform unit 12 according to a preset communication mode, and receive feedback information sent by the cloud platform unit 12, where the preset communication mode at least includes one of bluetooth communication and wireless communication.

In this embodiment, the air conditioning system 14 may be a multi-split air conditioning system 14, which includes: an outdoor unit; the indoor unit comprises a plurality of indoor units which are connected in parallel. The outdoor unit and the indoor unit are both provided with an air conditioner sensor module 111, the air conditioner sensor module 111 is used for collecting real-time operation data of the outdoor unit and the indoor unit, and the air conditioner sensor module 111 can comprise a plurality of sensors for measuring various parameters such as temperature, humidity, pressure and the like. The real-time operation data of the outdoor unit may include parameters of temperature, humidity, pressure, etc., and the real-time operation data of the indoor unit may include parameters of indoor temperature, wind speed, air quality, etc. The types of data to be collected by the outdoor unit and the indoor unit are adjusted according to actual requirements, and the application is not limited to this.

The first communication module 112 is responsible for communicating with the cloud platform unit 12. It receives real-time operation data collected by the air conditioner sensor module 111, including first real-time operation data of the outdoor unit and second real-time operation data of the indoor unit, and transmits the data to the cloud platform unit 12 through a preset communication mode. The first communication module 112 may be a gateway device in the central controller, and the preset communication mode may be one of bluetooth communication and wireless communication. The type of the first communication module 112 and the type of communication mode are adjusted according to actual requirements, which is not limited by the present application.

In some embodiments, as shown in fig. 3, the cloud platform unit 12 includes a second communication module 121, a data subscription management module 122, and a data processing module 123, where the data subscription management module 122 is connected to the second communication module 121 and the data processing module 123, respectively;

The second communication module 121 is configured to receive the first real-time operation data and the second real-time operation data sent by the first communication module 112, and transmit the first real-time operation data and the second real-time operation data to the data subscription management module 122;

The data subscription management module 122 is configured to perform data distribution management on the first real-time operation data and the second real-time operation data;

The data processing module 123 is configured to receive the first real-time operation data and the second real-time operation data subscribed from the data subscription management module 122, and perform data preprocessing to obtain target real-time operation data.

In the present embodiment, the second communication module 121 functions to receive the first real-time operation data and the second real-time operation data transmitted from the first communication module 112. The second communication module 121 serves as an intermediary for data transmission, receives data transmitted from the first communication module 112, and transmits the first real-time operation data and the second real-time operation data to the data subscription management module 122.

The main function of the data subscription management module 122 is to perform data distribution management on the received first real-time operation data and second real-time operation data. This means that the data subscription management module 122 can distribute the data to different modules or processing units for processing as required. The specific relationship of data distribution depends on the specific data subscription relationship, and the data processing module 123 needs to subscribe to the data of the data subscription management module 122 in advance, and after the data subscription management module 122 receives the first real-time operation data and the second real-time operation data uploaded by the data acquisition unit 11, the first real-time operation data and the second real-time operation data are sent to the data processing module 123.

The data processing module 123 receives the first real-time operation data and the second real-time operation data subscribed from the data subscription management module 122. The data is subjected to data preprocessing to acquire target real-time operation data. Data preprocessing may include data cleansing, data format conversion, outlier detection, feature extraction, etc., to make the data more suitable for subsequent analysis and processing.

In some embodiments, as shown in fig. 4, the data processing module 123 includes a data conversion sub-module 1231, a data matching sub-module 1232 and a data processing sub-module 1233,

The data matching sub-module 1232 is connected to the data conversion sub-module 1231 and the data processing sub-module 1233, respectively;

The data conversion sub-module 1231 is configured to receive the first real-time operation data and the second real-time operation data subscribed from the data subscription management module 122, and store the first real-time operation data and the second real-time operation data in the database;

The data matching submodule 1232 is used for matching and integrating the first real-time operation data and the second real-time operation data in the database to obtain target real-time operation data;

The data processing sub-module 1233 is configured to perform feature processing on the target real-time operation data to obtain feature data of the target real-time operation data.

In this embodiment, the main task of the data conversion submodule 1231 is to perform format conversion and storage on the received data so as to match and process the received data, and it should be noted that the data conversion submodule 1231 converts the received data into a format or structure that is more convenient to process. This conversion process may involve operations of data format conversion, data cleansing, data normalization, etc., to ensure consistency and accuracy of the data. Once the data has completed conversion, the transaction will use a cache database to store the converted data. The cache database has fast read-write operation and high concurrency performance, and can provide fast data access and response. The data is cached in the cache database, so that the data can be accessed and retrieved more efficiently in the subsequent data query and analysis process, and the data processing efficiency and performance are improved.

The data matching sub-module 1232 functions to match and integrate the first real-time operation data and the second real-time operation data stored in the database to obtain target real-time operation data. The data matching can be performed based on a certain key attribute or a time stamp, so that the accuracy and consistency of the data are ensured, and the key attribute can be a device code, a system number of the device, and the like. Because the data matching submodule 1232 receives the real-time operation data of the outdoor unit and the indoor unit from different brands and different systems, the data with the same equipment codes and the same system numbers and time stamps of the equipment can be used as a group of data, so that the data combination is performed, namely, the operation data belonging to the same air conditioning system at the same moment is used as the target real-time operation data.

The data processing sub-module 1233 is configured to receive the target real-time operation data, and perform feature processing on the target real-time operation data to obtain feature data of the target real-time operation data. The feature processing may include operations such as data cleaning, data transformation, feature extraction, dimension reduction, etc., and aims to extract meaningful features from the original data to support subsequent analysis and decision, where the feature data refers to important parameters or indexes capable of reflecting the current state and performance of the air conditioning system. For example, temperature, humidity, pressure, flow, etc. data may be used to evaluate the operating state of the air conditioning system.

Through the data processing flow, the system can better understand and utilize real-time operation data, and the detection, diagnosis and prediction of the health of the air conditioning system are realized.

In some embodiments, as shown in fig. 5, the cloud platform unit 12 further includes a health diagnosis module 124, the health diagnosis module 124 being connected with the data processing module 123; the health diagnosis module 124 is configured to obtain the feature data of the target real-time operation data from the data processing sub-module 1233, determine the health level of the air conditioning system according to the feature data of the target real-time operation data, and send the health level of the air conditioning system to the data processing sub-module 1233.

In this embodiment, the health diagnosis module 124 is connected to the data processing module 123, and it obtains feature data of the target real-time operation data by communicating with the data processing sub-module 1233. Based on the extracted feature data, the health diagnostic module 124 then uses a pre-trained algorithm model to determine if the air conditioning system is malfunctioning and to determine a level of health. It should be noted that these rules and algorithms are all methods existing in the prior art. Through analysis and comparison of the feature data, the health diagnostic module 124 may detect abnormal behavior, health patterns, or potential problems of the air conditioning system. When the health diagnostic module 124 determines the health of the air conditioning system, it assigns a corresponding health level to the health. The health rating reflects the severity or priority of health and can be used to guide subsequent maintenance and treatment work. For example, health grade may be classified as light, medium and severe. Finally, the health diagnostic module 124 sends the determined health level to the data processing sub-module 1233. This may be accomplished through the communication mechanism of the cloud platform, ensuring timely delivery of the health level to the relevant system or user.

In some embodiments, as shown in fig. 6, the health diagnosis module 124 includes a health diagnosis sub-module 1241 and a health scoring sub-module 1242, the health diagnosis sub-module 1241 being connected to the health scoring sub-module 1242;

The health diagnosis submodule 1241 is used for acquiring the characteristic data of the target real-time operation data from the data processing submodule 1233 and determining whether the air conditioning system has faults according to the characteristic data of the target real-time operation data;

The health evaluation sub-module 1242 is configured to determine a health evaluation score of the air conditioning system according to the feature data of the target real-time operation data in case of a failure of the air conditioning system, determine a health grade of the air conditioning system according to the health evaluation score, and transmit the health grade and the health evaluation score to the data processing sub-module 1233.

In this embodiment, the health diagnosis sub-module 1241 invokes the fault detection model to determine whether there is a fault in the air conditioning system according to the feature data of the target real-time operation data. If the health diagnostic sub-module 1241 determines that the air conditioning system is malfunctioning, it will output a specific type of malfunction. This may be a predefined health code or label for indicating a specific type of health, e.g. fault code 01 may represent a sensor fault, fault code 02 may represent a compressor fault, etc. Returning to a normal state: if the health diagnostic sub-module 1241 determines that the air conditioning system has not failed, it will return an indication of a normal condition.

The health evaluation sub-module 1242 invokes the fault diagnosis model when the air conditioning system has a fault, determines a health evaluation score of the air conditioning system according to the feature data of the target real-time operation data, and further determines a health grade. The working principle of the air conditioner system fault type analysis method is that the overall operation state of the air conditioner system is estimated by analyzing the characteristic data of the target real-time operation data, namely, the fault type of the air conditioner system in the current state of the air conditioner is determined. Then, based on the severity of the fault type, the health score sub-module 1242 performs a corresponding score deduction with reference to the score evaluation table shown in table 1, thereby calculating the health score of the air conditioner system. The score is indicative of the current health of the air conditioning system, and is typically a numerical indicator, which may be a percentage or other relative measure. And then determining the health grade of the air conditioning system according to the score interval in which the health evaluation score is located. The specific content of the score and the corresponding score in the score evaluation may be set according to the experience of the expert, which is not limited in the present application.

Table 1: score evaluation form

As an example: the air conditioning system A only has the abnormality of the expansion valve of the indoor unit, and the table lookup shows that 15 minutes need to be deducted. Assuming that the initial health evaluation score is 100 points, then due to the indoor unit expansion valve anomaly: deducting 15 points, the health evaluation score becomes 100-15=85 points, the final health evaluation score is 85 points according to the calculation above, and then the section to which the 85 points belong indicates that the health grade of the air conditioning system is good.

In some embodiments, as shown in fig. 7, the cloud platform unit 12 further comprises a third communication module 125;

the third communication module 125 is configured to, after receiving the acquisition request sent by the subscriber unit 13, acquire the health level and the health assessment score from the data processing sub-module 1233, and send the health level and the health assessment score to the subscriber unit 13.

In this embodiment, the third communication module 125 is responsible for communication with the subscriber unit 13. When the third communication module 125 receives the acquisition request sent by the subscriber unit 13, it communicates with the data processing sub-module 1233 and requests the acquisition of the health level and health assessment score. After the health level and health assessment score are obtained, the third communication module 125 will send these data back to the subscriber unit 13. And packages the data into the appropriate format for transmission to subscriber unit 13 using the appropriate communication protocol.

In some embodiments, as shown in fig. 8, the subscriber unit 13 includes an input module 131 and a fourth communication module 132, where the input module 131 is connected to the fourth communication module 132;

The input module 131 is configured to generate an acquisition request in response to an instruction input by a user, and transmit the acquisition request to the fourth communication module 132 for connection;

The fourth communication module 132 is connected to send the acquisition request to the third communication module 125, and receives the health level and the health assessment score sent by the third communication module 125.

In this embodiment, the user unit 13 is a user device or interface for interacting with the system, which may be a mobile application, a computer interface or other user interface. The user uses the APP health self-check function on the subscriber unit 13 and clicks the intelligent health diagnosis function. These user's operating instructions are received by the input module 131 and trigger corresponding acquisition requests. The input module 131 analyzes the user's instruction, and identifies information that the user wants to obtain, such as a failure pre-diagnosis result, an air conditioner screen condition, an actual operation state of the air conditioner, and the like.

The input module 131 parses the user instruction and determines the acquired information, which will generate a corresponding acquisition request. This acquisition request contains an identification of the specific information that needs to be acquired from the cloud or other necessary parameters. The generated acquisition request is transmitted to the fourth communication module 132 connected to the input module 131. The input module 131 is operative to respond to a user's instruction and generate a corresponding acquisition request. It serves as a bridge to translate user demand into specific requests. By generating the acquisition request, the input module 131 passes information required by the user to the fourth communication module 132, thereby initiating the subsequent communication and data acquisition process. The fourth communication module 132 functions to send an acquisition request to the third communication module 125 and receive a detailed explanation of the health level and health assessment score sent by the third communication module 125.

In some embodiments, as shown in fig. 9, the subscriber unit 13 further includes a suggestion module 133, the suggestion module 133 being connected to the fourth communication module 132;

The advice module 133 is configured to obtain the health level and the health assessment score from the fourth communication module 132, and generate maintenance advice for the air conditioning system based on the health level and the health assessment score.

In the present embodiment, the main function of the advice module 133 is to obtain the health level and the health assessment score, and generate the maintenance advice on the air conditioning system based on these data. The health rating and health assessment score may be obtained by the fourth communication module 132. Based on the obtained health level and health assessment score, the recommendation module 133 uses a particular algorithm or rule to generate a maintenance recommendation. These algorithms or rules may be based on the status of the air conditioning system, historical data, health assessment models, and the like. The maintenance recommendation may include periodic cleaning of the air conditioning filter screen, replacement of the filter cartridge, inspection of the air conditioning piping, etc. to ensure proper operation and maintenance of the air conditioning system, and the algorithm or rules may be determined based on historical data, as the application is not limited in this regard.

In some embodiments, as shown in fig. 10, the user unit 13 further includes a display module 134, where the display module 134 is connected to the suggestion module 133; the display module 134 is used to display health ratings, health assessment scores, and maintenance recommendations for the air conditioning system.

In this embodiment, the main function of the display module 134 is to present the health grade, the health assessment score, and the maintenance recommendation for the air conditioning system to the user. When the advice module 133 in the user unit 13 has completed the calculation of the health level, the health assessment score and the maintenance advice for the air conditioning system, these data will be transmitted to the display module 134. After receiving these data, the display module 134 converts them into appropriate image or text signals using a display controller and displays them to the user via a display screen. The user may interact with the display module 134 through a user interface, such as selecting a particular information display through a touch screen, or switching display pages, etc.

The application provides an air conditioner health evaluation system, which comprises the steps of firstly, collecting operation data of an air conditioner system in real time through a data collecting unit, and uploading the operation data to a cloud platform unit for processing and analysis. This allows the user to send an acquisition request to the cloud platform unit via the user unit at any time, to acquire the health level of the air conditioning system. The user can timely know the health state of the air conditioner and discover potential problems as soon as possible. And the cloud platform unit processes and analyzes the acquired air-conditioning data by utilizing the data mining and the artificial intelligence algorithm model. Through these algorithmic models, the system is able to detect and diagnose progressive faults of the air conditioner. The automated diagnosis process can help the user to evaluate the health condition of the air conditioner more accurately, and reduce errors of subjective judgment. Through data acquisition and analysis of the air conditioning system, the system can detect gradual faults of the air conditioner. In this way, the user can be warned before the fault occurs and take corresponding measures, such as timely maintenance or replacement of the components, to avoid further deterioration of the fault or inconvenience to the user. The user unit is in communication connection with the cloud platform unit, and the user can send an acquisition request to the cloud platform unit through the user unit to acquire the health grade of the air conditioning system. The design ensures that the user is easy and convenient to operate, the health condition of the air conditioning system can be obtained anytime and anywhere, and the convenience of the user for managing and maintaining the air conditioning system is improved.

In sum, the air conditioner health evaluation system provides a plurality of advantages such as real-time health monitoring, automatic diagnosis, health grade evaluation, early fault early warning, user friendliness and the like through real-time data acquisition, data processing and algorithm model analysis, and can help a user to better manage and maintain the air conditioner system, and the service effect and the service life are improved.

It should be noted that, the data conversion submodule 1231, the data matching submodule 1232, the data processing submodule 1233, the health diagnosis submodule 1241, the health assessment submodule 1242 and the adopted algorithm model in the air conditioner health assessment system 1 provided by the utility model are all existing in the prior art, and no improvement exists in any method; that is, the present technical solution does not make any improvement on the method itself in the case where the technical problem to be solved by the present utility model can be solved.

For example, in the patent publication No. CN114484735A, "S1: constructing a multi-split air conditioner fault diagnosis and energy-saving potential identification model based on association rules; s2: collecting operation data of a multi-split air conditioner in actual use; s3: and (3) processing the acquired data, and performing fault pre-diagnosis and energy-saving potential analysis by using the model established in the step (S1). "specifically, the functions and the algorithm models adopted by the data conversion sub-module 1231, the data matching sub-module 1232, the data processing sub-module 1233, the health diagnosis sub-module 1241 and the health evaluation sub-module 1242 in the present application are disclosed.

Although the application is described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

Although the application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

The foregoing is merely illustrative of specific embodiments of the present application, and the scope of the present application is not limited thereto, but any changes or substitutions within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims (10)

1. An air conditioning health assessment system, comprising:

the system comprises a data acquisition unit, a cloud platform unit and a user unit, wherein the data acquisition unit is connected with an air conditioning system and the cloud platform unit, and the user unit is in communication connection with the cloud platform unit;

The data acquisition unit is used for acquiring real-time operation data of the air conditioning system and uploading the real-time operation data to the cloud platform unit;

The cloud platform unit is used for determining the health grade of the air conditioning system according to the real-time operation data;

The user unit is used for sending an acquisition request to the cloud platform unit so as to acquire the health grade of the air conditioning system.

2. The air conditioning health assessment system of claim 1, wherein the air conditioning system comprises:

An outdoor unit;

The indoor unit comprises a plurality of indoor units connected in parallel;

the data acquisition unit comprises at least one air conditioner sensor module and a first communication module;

The air conditioner sensor module is used for collecting first real-time operation data of the outdoor unit and second real-time operation data of the indoor unit and transmitting the first real-time operation data and the second real-time operation data to the first communication module;

the first communication module is configured to send the first real-time operation data and the second real-time operation data to the cloud platform unit according to a preset communication mode, and receive feedback information sent by the cloud platform unit, where the preset communication mode at least includes one of bluetooth communication and wireless communication.

3. The air conditioner health assessment system according to claim 2, wherein the cloud platform unit comprises a second communication module, a data subscription management module and a data processing module, the data subscription management module being respectively connected with the second communication module and the data processing module;

The second communication module is used for receiving the first real-time operation data and the second real-time operation data sent by the first communication module and transmitting the first real-time operation data and the second real-time operation data to the data subscription management module;

The data subscription management module is used for carrying out data distribution management on the first real-time operation data and the second real-time operation data;

The data processing module is used for receiving the first real-time operation data and the second real-time operation data subscribed from the data subscription management module and carrying out data preprocessing to obtain target real-time operation data.

4. The air conditioner health assessment system according to claim 3, wherein the data processing module comprises a data conversion sub-module, a data matching sub-module and a data processing sub-module, the data matching sub-module being respectively connected with the data conversion sub-module and the data processing sub-module;

The data conversion submodule is used for receiving the first real-time operation data and the second real-time operation data subscribed from the data subscription management module and storing the first real-time operation data and the second real-time operation data into a database;

The data matching sub-module is used for matching and integrating the first real-time operation data and the second real-time operation data in the database to obtain the target real-time operation data;

the data processing sub-module is used for carrying out characteristic processing on the target real-time operation data so as to obtain characteristic data of the target real-time operation data.

5. The air conditioning health assessment system according to claim 4, wherein the cloud platform unit further comprises a health diagnostic module, the health diagnostic module being connected with the data processing module;

The health diagnosis module is used for acquiring the characteristic data of the target real-time operation data from the data processing sub-module, determining the health grade of the air conditioning system according to the characteristic data of the target real-time operation data, and sending the health grade of the air conditioning system to the data processing sub-module.

6. The air conditioning health assessment system according to claim 5, wherein the health diagnostic module comprises a health diagnostic sub-module and a health assessment sub-module, the health diagnostic sub-module being connected to the health assessment sub-module;

The health diagnosis submodule is used for acquiring the characteristic data of the target real-time operation data from the data processing submodule and determining whether the air conditioning system has faults or not according to the characteristic data of the target real-time operation data;

The health evaluation sub-module is used for determining the health evaluation score of the air conditioning system according to the characteristic data of the target real-time operation data under the condition that the air conditioning system has faults, determining the health grade of the air conditioning system according to the health evaluation score, and transmitting the health grade and the health evaluation score to the data processing sub-module.

7. The air conditioning health assessment system according to claim 6, wherein the cloud platform unit further comprises a third communication module;

The third communication module is configured to obtain the health grade and the health evaluation score from the data processing submodule after receiving the obtaining request sent by the user unit, and send the health grade and the health evaluation score to the user unit.

8. The system of claim 7, wherein the subscriber unit comprises an input module and a fourth communication module, the input module being coupled to the fourth communication module;

The input module is used for responding to an instruction input by a user, generating the acquisition request and transmitting the acquisition request to the fourth communication module for connection;

The fourth communication module is connected to send the acquisition request to the third communication module, and receives the health grade and the health assessment score sent by the third communication module.

9. The air conditioning health assessment system according to claim 8, wherein the subscriber unit further comprises a suggestion module, the suggestion module being connected to the fourth communication module;

the suggestion module is configured to obtain the health grade and the health assessment score from the fourth communication module, and generate a maintenance suggestion for the air conditioning system according to the health grade and the health assessment score.

10. The air conditioning health assessment system according to claim 9, wherein the subscriber unit further comprises a display module, the display module being coupled to the suggestion module;

the display module is used for displaying the health grade, the health evaluation score and the maintenance suggestion of the air conditioning system.