Communication method and control system of multi-split air conditioner, electronic equipment and storage medium

Abstract

The invention provides a multi-split communication method, a control system, electronic equipment and a storage medium. The multi-split communication method comprises the following steps: acquiring a working state of the multi-split; determining communication data required by the outdoor unit based on the working state; importing the working state and the communication data into a priority model, and generating a data list containing working priorities of the communication data; and based on the data list, sequentially sending the communication data to the outdoor unit according to the priorities of the communication data. According to the multi-split communication method provided by the invention, the communication data required by the outdoor unit in different working states are intelligently judged, and the data list is generated based on the priority model, so that the key data can be preferentially transmitted, and the transmission efficiency and speed of the communication data are remarkably improved. Therefore, the communication delay is reduced, the response speed of the system is improved, and the overall control effect is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of heat pumps, and particularly to a communication method, a control system, an electronic device, and a storage medium for a multi-connected air conditioner. Background Art

[0002] In a multi-connected air conditioner system, communication between the indoor unit and the outdoor unit is crucial to ensure the normal operation of the system. In traditional methods, designers fixed the priority of data between the indoor unit and the outdoor unit during the system R & D stage and set the data transmission frequency according to these priorities. This method optimized data transmission to a certain extent, enabling key data such as the operation mode and set temperature to be sent more frequently, while less important data such as coil temperature and expansion valve opening degree were sent at a lower frequency, and data that rarely changed such as the program version was sent even less frequently.

[0003] However, with the in-depth and complex application of multi-connected air conditioner systems, this method has gradually revealed its limitations. During actual operation, the response speed of this method is slow. The control requirements of the outdoor unit for the indoor unit change with the operating state because, during actual operation, the control parameters of the outdoor unit for the indoor unit are not fixed, and different operating modes require different indoor unit data to be concerned. For example, in the cooling mode, the outdoor unit needs to closely monitor the data of the gas pipe and liquid pipe sensors of the indoor unit for precise control; while in the heating mode, the outdoor unit is more concerned about the data of the liquid pipe sensor and the fan speed of the indoor unit. In addition, when the outdoor unit performs a defrosting operation, data such as the expansion valve opening degree becomes particularly important. Summary of the Invention

[0004] The present invention aims to at least solve one of the technical problems existing in the related art. For this purpose, the present invention provides a communication method for a multi-connected air conditioner, which solves the problem that when the existing multi-connected air conditioner uses priority transmission, the priority of the control parameters of the outdoor unit for the indoor unit remains fixed, affecting the slow response of multi-connected air conditioner data transmission.

[0005] According to the communication method for a multi-connected air conditioner provided by the first aspect embodiment of the present invention, the multi-connected air conditioner includes an outdoor unit and an indoor unit; the communication method for the multi-connected air conditioner includes:

[0006] Obtain the working state of the multi-connected air conditioner;

[0007] Based on the working state, determine the communication data required by the outdoor unit;

[0008] Import the working state and the communication data into a priority model to generate a data list of working priorities including the communication data;

[0009] Based on the data list, sequentially send the communication data to the outdoor unit according to the priorities of the respective communication data.

[0010] The communication method of the multi-connected unit provided by the present invention intelligently judges the communication data required by the outdoor unit in different working states and generates a data list based on a priority model. This method can ensure the priority transmission of key data, significantly improving the transmission efficiency and speed of communication data. This helps reduce communication latency, improve the system response speed, and thus enhance the overall control effect.

[0011] According to an embodiment of the present invention, the communication data includes multiple indoor unit data; the step of sequentially sending the communication data to the outdoor unit according to the priority of each piece of communication data based on the data list includes:

[0012] Group the indoor unit data in the data list according to the priority to generate multiple groups of communication characteristic words corresponding to each indoor unit data and the working priority; each group of communication characteristic words corresponds to a different priority;

[0013] Sequentially send each group of communication characteristic words to the indoor unit according to the priority, and control the indoor unit to feedback the indoor unit data according to the priority.

[0014] The embodiment of the present invention adopts this design, which not only optimizes the communication method of the multi-connected unit system, but also improves the processing efficiency and accuracy of communication data. Especially when processing the communication of multiple indoor unit data, by grouping and sending according to the priority, it can ensure that key data is preferentially processed, thereby improving the performance and stability of the entire system.

[0015] According to an embodiment of the present invention, the priority of the indoor unit data includes a first priority and a second priority; multiple groups of communication characteristic words include a first communication characteristic word corresponding to the first priority and a second communication characteristic word corresponding to the second priority; the step of sequentially sending each group of communication characteristic words to the indoor unit according to the priority and controlling the indoor unit to feedback the indoor unit data according to the priority includes:

[0016] Send the first communication characteristic word to the indoor unit, and the indoor unit feedbacks the indoor unit data corresponding to the first communication characteristic word;

[0017] After the first communication characteristic word is sent for a first preset time, the indoor unit feedbacks the indoor unit data corresponding to the second communication characteristic word.

[0018] The embodiment of the present invention adopts this design, which not only ensures that key data can be preferentially processed, but also realizes the on-demand transmission and efficient utilization of data. At the same time, by setting a preset time, it avoids data processing conflicts and interference, and improves the stability and reliability of the entire system.

[0019] According to an embodiment of the present invention, the priorities of the indoor unit data include a first priority, a second priority, and a third priority; multiple groups of the communication characteristic words include a first communication characteristic word corresponding to the first priority, a second communication characteristic word corresponding to the second priority, and a third communication characteristic word corresponding to the third priority; the step of sequentially sending each group of the communication characteristic words to the indoor unit according to the priority and controlling the indoor unit to feedback the indoor unit data according to the priority includes:

[0020] Send the first communication characteristic word to the indoor unit, and the indoor unit feeds back the indoor unit data corresponding to the first communication characteristic word;

[0021] After the first communication characteristic word is sent for a first preset time, the indoor unit feeds back the indoor unit data corresponding to the second communication characteristic word;

[0022] After the second communication characteristic word is sent for a second preset time, the indoor unit feeds back the indoor unit data corresponding to the third communication characteristic word.

[0023] This design adopted in the embodiment of the present invention not only realizes the priority processing of the indoor unit data in the multi-connected air conditioner system, but also ensures the orderly transmission and efficient utilization of the data. At the same time, by setting different preset times, the conflicts and interferences in data processing are avoided, and the stability and reliability of the entire system are improved.

[0024] According to an embodiment of the present invention, the process of establishing the priority model includes the following steps:

[0025] Collect a data set including the working state, the indoor unit data, and the corresponding priority tags;

[0026] Load the data set into a deep learning model, train and construct the priority model, and verify and test the priority model.

[0027] According to an embodiment of the present invention, the data set includes a training set, a validation set, and a test set; the step of loading the data set into a deep learning model, training and constructing the priority model, and verifying and testing the priority model includes:

[0028] Load the training set into the deep learning model, train and construct the priority model;

[0029] Load the validation set and the test set into the priority model, and verify and test the priority model.

[0030] In the embodiments of the present invention, through the verification and testing processes, a clear understanding of the performance of the priority model can be obtained, and the parameters and structure of the model can be adjusted as needed to further optimize the performance of the model. Finally, a stable and reliable priority model can be obtained for processing the priorities of communication data in an actual multi-connected air conditioner system.

[0031] According to an embodiment of the present invention, it further includes: preprocessing the data set, and the preprocessing includes at least one of data deduplication, outlier processing, missing value processing, and data formatting.

[0032] In the embodiments of the present invention, appropriate data preprocessing methods can be selected according to the specific situation of the data set and the performance requirements of the model.

[0033] According to an embodiment of the present invention, the deep learning model is one of a convolutional neural network model, a recurrent neural network model, or a Transformer model. In the embodiments of the present invention, different models have different advantages, disadvantages, and applicable scenarios, and can be weighed and selected as needed.

[0034] According to the control system of a multi-connected air conditioner provided in the second aspect embodiment of the present invention, it includes:

[0035] An acquisition module, configured to acquire the working state of the multi-connected air conditioner;

[0036] A determination module, configured to determine the communication data required by the outdoor unit based on the working state;

[0037] A generation module, configured to import the working state and the communication data into the priority model to generate a data list including the working priorities of the communication data;

[0038] A sending module, configured to sequentially send the communication data to the outdoor unit based on the data list according to the priorities of the respective communication data.

[0039] According to the electronic device provided in the third aspect embodiment of the present invention, it includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, it implements the communication method of the multi-connected air conditioner.

[0040] The fourth aspect embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the communication method of the multi-connected air conditioner.

[0041] In a fifth aspect of the present invention, there is also provided a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions that, when executed by a computer, enable the computer to execute the communication method of the multi-connected air conditioner system.

[0042] The communication method of the multi-connected air conditioner system provided by the present invention can intelligently determine the communication data required by the outdoor unit in different operating states and generate a data list based on a priority model. This method can ensure the priority transmission of key data, significantly improving the transmission efficiency and speed of communication data. This helps reduce communication latency and improve the system response speed, thereby enhancing the overall control effect. In addition, since this method is based on a deep learning algorithm and can analyze and adapt to different operating states of the multi-connected air conditioner system in real time, it can dynamically adjust the priority of communication data according to different operating states. This makes the system more flexible, capable of adapting to various complex control requirements, and improving the stability and reliability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments or related technologies. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0044] Figure 1 Schematic diagram of the multi-connected air conditioner system provided for the embodiments of the present invention;

[0045] Figure 2 One of the flowcharts of the communication method of the multi-connected air conditioner system provided for the embodiments of the present invention;

[0046] Figure 3 Another flowchart of the communication method of the multi-connected air conditioner system provided for the embodiments of the present invention;

[0047] Figure 4 Still another flowchart of the communication method of the multi-connected air conditioner system provided for the embodiments of the present invention;

[0048] Figure 5 Schematic structural diagram of the control system provided for the embodiments of the present invention;

[0049] Figure 6 Schematic structural diagram of the electronic device provided for the embodiments of the present invention.

[0050] Reference numerals:

[0051] 510. Acquisition module; 520. Determination module; 530. Generation module; 540. Transmission module; 610. Processor; 620. Communication interface; 630. Memory; 640. Communication bus. Detailed implementation

[0052] To make the objectives, technical solutions, and advantages of the invention clearer, the technical solutions in the invention will be clearly described below with reference to the accompanying drawings in the invention. Apparently, the described embodiments are some, but not all, of the embodiments of the invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the invention without creative efforts shall fall within the protection scope of the invention.

[0053] According to the communication method of a multi-connected air conditioner provided in the first aspect embodiment of the present invention. As Figure 1 shown, the multi-connected air conditioner includes: an outdoor unit and an indoor unit. Generally, one outdoor unit is paired with multiple indoor units.

[0054] As Figure 2 shown, the communication method of the multi-connected air conditioner includes the following steps:

[0055] Step S110: Obtain the working state of the multi-connected air conditioner.

[0056] Step S120: Based on the working state, determine the communication data required by the outdoor unit.

[0057] Step S130: Import the working state and communication data into the priority model to generate a data list containing the working priorities of the communication data.

[0058] Step S140: Based on the data list, sequentially send the communication data to the outdoor unit according to the priorities of the respective communication data.

[0059] In this step, the control system first obtains the current working state of the multi-connected air conditioner. The working state may include the cooling mode, heating mode, air supply mode, dehumidification mode, automatic mode, etc., as well as the specific operating parameters of the outdoor unit and the indoor unit, such as the temperature setting value, wind speed setting value, operating mode, etc. These state information can be collected and obtained through hardware devices such as sensors and the control system.

[0060] After obtaining the working state of the multi-connected air conditioner, the control system will determine the communication data required by the outdoor unit according to the current working state. These communication data may include the real-time operating data of the indoor unit and / or the outdoor unit. For example, the indoor unit communication data includes the set temperature, mode, ambient temperature, suction line temperature, liquid line temperature, expansion valve opening, wind speed, humidity, solenoid valve, etc., and the outdoor unit communication data includes the mode, high-side pressure, low-side pressure, discharge temperature, suction temperature, outdoor ambient temperature, etc. These data are crucial for the precise control and decision-making of the multi-connected air conditioner.

[0061] After that, the control system imports the working status and communication data into a pre-trained priority model. The priority model is a model constructed based on deep learning algorithms, which can intelligently judge the priority of the communication data required by the outdoor unit in different working states. By inputting the working status and communication data, the priority model generates a data list containing the working priorities of the communication data. This list is sorted according to the priority of the communication data, with the data of higher priority ranked in the front and the data of lower priority ranked in the back.

[0062] Finally, the control system sequentially sends the data to the outdoor unit according to the priority of the communication data in the data list. The data of higher priority will be sent first to ensure that the outdoor unit can obtain the key control information in a timely manner. This way of transmitting data on demand not only improves the communication efficiency but also guarantees the integrity of data transmission.

[0063] The communication method of the multi-connected air conditioner provided by the present invention can intelligently judge the communication data required by the outdoor unit in different working states and generate a data list based on the priority model. This method can ensure the priority transmission of key data, significantly improving the transmission efficiency and speed of communication data. This helps to reduce communication latency and improve the system response speed, thereby enhancing the overall control effect. In addition, since this method is based on deep learning algorithms and can analyze and adapt to different operating states of the multi-connected air conditioner system in real time, it can dynamically adjust the priority of communication data according to different working states. This makes the system more flexible, capable of adapting to various complex control requirements, and improving the stability and reliability of the system.

[0064] In some embodiments, as Figure 3 shown, the communication data includes multiple indoor unit data; Step S140: The step of sequentially sending the communication data to the outdoor unit based on the data list according to the priority of each communication data includes:

[0065] Step S1401: Group the indoor unit data in the data list according to the priority to generate multiple groups of communication characteristic words corresponding to each indoor unit data and the working priority; each group of communication characteristic words corresponds to a different priority.

[0066] Step S1402: Sequentially send each group of communication characteristic words to the indoor unit according to the priority, and control the indoor unit to feedback the indoor unit data according to the priority.

[0067] In this step, the system first groups the data of each indoor unit according to the priority of the communication data in the data list. Each group of data corresponds to a specific priority, and a communication signature word corresponding to the group of data and the priority is generated. The communication signature word is a specific identifier or code used to identify and distinguish data with different priorities and different indoor units. In this way, the system can easily identify and manage each group of data and prepare for subsequent data transmission.

[0068] After grouping and generating the communication signature words, the system sends each group of communication signature words to the corresponding indoor unit in order from the highest priority to the lowest priority. After receiving the communication signature word, the indoor unit will feedback the corresponding indoor unit data according to the indicated priority as required. This method ensures that data with high priority can be processed first, thus improving the response speed and communication efficiency of the entire system.

[0069] By implementing the above steps, the present invention not only optimizes the communication method of the multi-connected air-conditioning system, but also improves the processing efficiency and accuracy of communication data. Especially when processing the communication of data of multiple indoor units, by grouping and sending according to the priority, it can ensure that key data is processed first, thus improving the performance and stability of the entire system.

[0070] In a specific embodiment, the outdoor unit generates different communication signature words according to the priority. For example, there are 100 data on the data list of the indoor unit, and the indoor unit data is sorted in the designed order in turn.

[0071] In this embodiment, there are 100 data of the indoor unit, each data is represented by 1 bit, 1 means yes, 0 means no, a total of 100 bits are required. The data of each indoor unit in the data list is grouped according to the priority, and each 8 bits form 1 byte, and 13 bytes are required. That is, 13 bytes of communication signature words are generated for each priority.

[0072] Table 1

[0073]

[0074] Such as the communication data signature word of the first priority (priority 1): C0, 00, 00, 00, 00, 01, 00, 00, 00, 00, 00, 00, 00.

[0075] Through this communication signature word, all indoor unit data with priority 1 can be determined. For example, according to the first byte C0 which is in hexadecimal, the corresponding 8-bit binary is 1100,0000. After receiving C0, it can indicate that the set temperature of data number 1 and the operation mode of data number 2 are selected. After receiving the 6th byte 01, it can indicate that the program version of data number 48 is selected.

[0076] In some embodiments, the priorities of the indoor unit data include a first priority and a second priority; the multiple groups of communication characteristic words include a first communication characteristic word corresponding to the first priority and a second communication characteristic word corresponding to the second priority. Step S1402: The step of sequentially sending each group of communication characteristic words to the indoor unit according to the priority and controlling the indoor unit to feedback the indoor unit data according to the priority includes:

[0077] Step S14021: Send the first communication characteristic word to the indoor unit, and the indoor unit feeds back the indoor unit data corresponding to the first communication characteristic word.

[0078] Step S14022: After the first communication characteristic word is sent for a first preset time, the indoor unit feeds back the indoor unit data corresponding to the second communication characteristic word.

[0079] In this step, the control system will first control the outdoor unit to send the first communication characteristic word to the indoor unit. Since the first communication characteristic word corresponds to the data of the first priority, this data is usually the most critical and urgent information during the system operation. After receiving the first communication characteristic word, the indoor unit will immediately process and feed back the corresponding indoor unit data to the outdoor unit. In this way, the control system can preferentially obtain and process this key data to ensure the stable operation and efficient response of the outdoor unit receiving the corresponding data.

[0080] After sending the first communication characteristic word and obtaining the corresponding data, the control system will wait for a period of time, that is, the first preset time. This period of time is set to ensure that the control system has enough time to process the data of the first priority and avoid conflicts and interferences in data processing. After waiting, the control system will control the outdoor unit to send the second communication characteristic word to the indoor unit, and require the indoor unit to feed back the indoor unit data corresponding to the second priority to the outdoor unit. Since the priority of this data is relatively low, it can be obtained and processed after processing the data of the first priority.

[0081] By implementing the above steps, the present invention not only ensures that the key data can be preferentially processed, but also realizes the on-demand transmission and efficient utilization of the data. At the same time, by setting the preset time, conflicts and interferences in data processing are avoided, and the stability and reliability of the entire system are improved.

[0082] In another embodiment, the priorities of the indoor unit data include a first priority, a second priority, and a third priority; the multiple groups of communication characteristic words include a first communication characteristic word corresponding to the first priority, a second communication characteristic word corresponding to the second priority, and a third communication characteristic word corresponding to the third priority; the step of sequentially sending each group of communication characteristic words to the indoor unit according to the priority and controlling the indoor unit to feedback the indoor unit data according to the priority includes:

[0083] Step S14021: Send the first communication characteristic word to the indoor unit, and the indoor unit feeds back the indoor unit data corresponding to the first communication characteristic word.

[0084] Step S14022: After the first communication characteristic word is sent for the first preset time, the indoor unit feeds back the indoor unit data corresponding to the second communication characteristic word.

[0085] Step S14023: After the second communication characteristic word is sent for the second preset time, the indoor unit feeds back the indoor unit data corresponding to the third communication characteristic word.

[0086] In this step, the control system will first control the outdoor unit to send the first communication characteristic word to the indoor unit. Since the first communication characteristic word corresponds to the data of the first priority level, this data is usually the most critical and urgent information during the system operation. After receiving the first communication characteristic word, the indoor unit will immediately process and feed back the corresponding indoor unit data to the outdoor unit. In this way, the control system can preferentially obtain and process this key data to ensure the stable operation and efficient response of the outdoor unit when receiving the corresponding data.

[0087] After sending the first communication characteristic word and obtaining the corresponding data, the control system will wait for a period of time, that is, the first preset time. This time setting is to ensure that the control system has enough time to process the data of the first priority level and avoid conflicts and interferences in data processing. After waiting, the control system will control the outdoor unit to send the second communication characteristic word to the indoor unit, and require the indoor unit to feed back the indoor unit data corresponding to the second priority level to the outdoor unit. Since the priority of this data is relatively low, it can be obtained and processed after the data of the first priority level is processed.

[0088] After sending the second communication characteristic word and obtaining the corresponding data, the control system will wait again for a period of time, that is, the second preset time. This time setting is to ensure that the system can process data of different priority levels in sequence and avoid chaos and conflicts in data processing. After waiting, the control system will send the third communication characteristic word to the indoor unit, and require the indoor unit to feed back the indoor unit data corresponding to the third priority level to the outdoor unit. This data may be some auxiliary information or lower-level data during the system operation.

[0089] By implementing the above steps, the present invention not only realizes the priority processing of the indoor unit data in the multi-connected air-conditioning system, but also ensures the orderly transmission and efficient utilization of the data. At the same time, by setting different preset times, conflicts and interferences in data processing are avoided, and the stability and reliability of the entire system are improved. This priority processing and data transmission method can be flexibly adjusted and optimized according to actual requirements and scenarios to meet the operation requirements of different systems.

[0090] In a specific embodiment, the outdoor unit specifies the transmission frequencies for each priority level. For example, the first priority level is transmitted in real time, the second priority level is transmitted every 10 seconds, the third priority level is transmitted every 15 seconds, and so on.

[0091] After the outdoor unit sends the first communication characteristic word corresponding to the first priority level, the indoor unit extracts the data numbers that the current indoor unit needs to respond to the outdoor unit according to the first communication characteristic word. For example, the data numbers 1, 2, and 48 in Table 1. Only these 3 data are responded to, which can greatly shorten the length of the normal data frame and improve the transmission efficiency. When the communication characteristic word of the outdoor unit remains unchanged, the indoor unit replies with data according to the currently received communication characteristic word.

[0092] After 10 seconds, the outdoor unit needs to change the communication characteristic word and send the second communication characteristic word. The indoor unit extracts again the data numbers that the current indoor unit needs to respond to the outdoor unit according to the second communication characteristic word.

[0093] After 15 seconds, the outdoor unit needs to change the communication characteristic word and send the third communication characteristic word. The indoor unit extracts again the data numbers that the current indoor unit needs to respond to the outdoor unit according to the third communication characteristic word.

[0094] In addition, when the sending times of the communication characteristic words overlap, such as when both the second communication characteristic word and the third communication characteristic word need to be sent at a certain moment, the second communication characteristic word is sent first. After the indoor unit has completed all responses, the outdoor unit then communicates the third communication characteristic word.

[0095] To avoid confusion in the outdoor unit's parsing of the indoor unit's data, the communication data sent by the indoor unit to the outdoor unit should include the number of the communication characteristic word. For example, number 3 indicates that the current response is for the data corresponding to the third communication characteristic word.

[0096] In addition, in some embodiments, there are more priority levels, such as the fourth priority level, the fifth priority level, etc. The number of priority levels and the number of corresponding communication characteristic words can be increased or decreased as needed.

[0097] In some embodiments, as Figure 4 shown, the process of establishing the priority model includes the following steps:

[0098] Step 410: Collect a data set containing the working state, indoor unit data, and corresponding priority labels.

[0099] Step 420: Load the data set into a deep learning model, train and construct the priority model, and verify and test the priority model.

[0100] Collect a dataset containing the working status, indoor unit data, and corresponding priority labels. For example, the indoor unit communication data includes set temperature, mode, ambient temperature, suction line temperature, liquid line temperature, expansion valve opening, wind speed, humidity, solenoid valve, etc., and the outdoor unit communication data includes mode, high-side pressure, low-side pressure, discharge temperature, suction temperature, outdoor ambient temperature, etc. Ensuring the quality and diversity of the dataset is crucial for training an accurate deep learning model.

[0101] This step is the basis for establishing the priority model. First, a large amount of data needs to be collected, which should cover the indoor unit data of the multi-split air conditioning system under different working conditions and be accompanied by corresponding priority labels. This data can be obtained from the multi-split air conditioning system during actual operation and collected through devices such as sensors and control systems.

[0102] Specifically, the indoor unit data can include parameters such as set temperature, mode, ambient temperature, suction line temperature, liquid line temperature, expansion valve opening, wind speed, humidity, solenoid valve status, etc. This data can comprehensively reflect the operating status and performance of the multi-split air conditioning system. In some cases, a dataset containing the working status, outdoor unit data, and corresponding priority labels can also be collected synchronously. The outdoor unit communication data includes mode, high-side pressure, low-side pressure, discharge temperature, suction temperature, outdoor ambient temperature, etc.

[0103] At the same time, priority labels also need to be assigned to this data. These labels can be set according to actual needs and business logic. For example, for key data that affects the operating stability and safety of the system, a higher priority can be given; while for some auxiliary monitoring data, a lower priority can be given.

[0104] After collecting enough datasets, the deep learning model can be trained. Load the dataset into the deep learning model, train and construct the priority model, and verify and test the priority model.

[0105] In addition, to ensure the accuracy of the collected data, after step 410: the step of collecting a dataset containing the working status, indoor unit data, and corresponding priority labels, it also includes: preprocessing the dataset, and the preprocessing includes at least one of data deduplication, outlier handling, missing value handling, and data formatting.

[0106] Specifically, during the data collection process, duplicate records may appear in the dataset due to various reasons. Data deduplication is to remove these duplicate records to ensure that each record in the dataset is unique.

[0107] An outlier refers to a value in a dataset that significantly deviates from the normal range, which may be caused by equipment failures, sensor errors, data transmission errors, or other reasons. Outlier handling involves identifying outliers and processing them, such as deleting, replacing, or correcting them. This can be achieved by setting thresholds, using statistical methods, or machine learning algorithms to identify and handle outliers.

[0108] Missing values refer to the situation where certain fields in a dataset have no values. Handling missing values is an important part of data preprocessing because missing values may affect the training and prediction performance of the model. Methods for handling missing values include deleting records containing missing values, filling them with statistical measures such as the mean, median, or mode, or using machine learning algorithms for predictive filling.

[0109] Data formatting is to convert the dataset into a form suitable for model training. This includes converting data into numerical types (if required by the model), unifying the units of data, adjusting the dimensions and formats of data, etc. For example, for text data, it may be necessary to perform encoding (such as one-hot encoding, word embedding, etc.) to convert it into numerical data; for time series data, it may be necessary to perform normalization or standardization processing.

[0110] Data preprocessing is a flexible process, and the specific methods and techniques depend on the characteristics of the data and the requirements of the model. In practical applications, appropriate data preprocessing methods can be selected according to the specific situation of the dataset and the performance requirements of the model.

[0111] In some embodiments, the dataset includes: a training set, a validation set, and a test set; Step 420: The steps of loading the dataset into a deep learning model, training and constructing a priority model, and validating and testing the priority model include:

[0112] Step 4201: Load the training set into the deep learning model, and train and construct the priority model.

[0113] Step 4202: Load the validation and test sets into the priority model, and validate and test the priority model.

[0114] First, the collected training set data needs to be loaded into the deep learning model.

[0115] Next, use deep learning algorithms and model architectures to train the priority model. During the training process, the model will attempt to learn the features and patterns of the data from the training data, and optimize the model parameters according to the set loss function to minimize the prediction error. Through multiple iterations and optimizations, the model gradually adapts to and fits the training data, thus forming a model that can predict the priority of the internal machine data.

[0116] Note that during the training process, some hyperparameters such as learning rate, batch size, number of training epochs, etc. may need to be adjusted to optimize the performance of the model.

[0117] After the model training is completed, the model needs to be validated and tested to evaluate its performance and generalization ability.

[0118] First, load the validation set data into the trained priority model and observe the performance of the model on the validation set. By calculating metrics such as the accuracy, recall, and F1-score of the model, the performance of the model on unseen data can be evaluated. If the model performs well on the validation set, it indicates that the model has strong generalization ability.

[0119] Next, use the test set to further test the model. The test set is data independent of the training set and the validation set and is used to finally evaluate the performance of the model. Load the test set data into the model and obtain the prediction results of the model. Then, compare the prediction results with the true labels of the test set and calculate the corresponding evaluation metrics to comprehensively evaluate the performance of the model.

[0120] Through the validation and testing processes, a clear understanding of the performance of the priority model can be obtained, and the parameters and structure of the model can be adjusted as needed to further optimize the performance of the model. Finally, a stable and reliable priority model can be obtained for processing the priority of communication data in an actual multi-connected air conditioner system.

[0121] It should be noted that the deep learning model can adopt one of the convolutional neural network model, the recurrent neural network model, or the Transformer model.

[0122] Among them, the convolutional neural network performs well in processing image data and can extract effective feature representations from the original images. If the indoor unit data contains some information that can be converted into image form (for example, through heatmaps or visualizations of time series), then CNN may be a suitable choice. By constructing appropriate convolutional layers and pooling layers, CNN can learn the spatial features of the data and be used for priority prediction.

[0123] The recurrent neural network is particularly suitable for processing sequential data such as time series or text data. Since the indoor unit data usually has temporality, RNN can capture the time dependence and dynamic changes in the data. By stacking recurrent units (such as LSTM or GRU), RNN can learn the long-term dependencies in the sequence and make priority predictions accordingly.

[0124] The Transformer model is a deep learning model based on the self-attention mechanism, which has achieved remarkable success in the field of natural language processing. The Transformer model processes sequential data through multiple layers of self-attention mechanisms and positional encoding, and can capture global dependencies in the sequence. If the internal data has complex dependencies or requires capturing long-distance features, the Transformer model may be a powerful choice.

[0125] When selecting a deep learning model, factors such as the characteristics of the data, the complexity of the model, and computing resources need to be considered. Different models have different advantages, disadvantages, and applicable scenarios, so trade-offs and selections need to be made according to specific circumstances. At the same time, experiments and validations can also be used to evaluate the performance of different models in the priority prediction task, and the model with the best performance can be selected for application.

[0126] According to the control system of the multi-connected air conditioner provided by the second aspect of the present invention, please refer to Figure 5 , including:

[0127] An acquisition module 510, configured to acquire the working state of the multi-connected air conditioner.

[0128] A determination module 520, configured to determine the communication data required by the outdoor unit based on the working state.

[0129] A generation module 530, configured to import the working state and the communication data into a priority model to generate a data list of working priorities including the communication data.

[0130] A sending module 540, configured to sequentially send the communication data to the outdoor unit based on the data list according to the priorities of the respective communication data.

[0131] It should be noted that the above steps S110 to S140, as well as other steps, are only for convenient expression and do not constitute a timing limitation on the steps in the communication method. There are detailed descriptions therein, and all the contents in the communication method can also be applied to the embodiments provided in the first aspect. Therefore, in order to avoid repeated elaboration, they are not detailed in the control system provided in the second aspect. Similarly, the contents in the above two aspects of the embodiments can be used to explain the contents of all subsequent aspects of the embodiments. Therefore, the repeated contents in the subsequent embodiments are not elaborated. According to the control system provided by the embodiments of the present invention, its technical effects correspond to those of the above communication method, and are not elaborated here.

[0132] Figure 6The figure exemplifies a schematic diagram of the physical structure of an electronic device, which may include: a processor 610, a communications interface 620, a memory 630, and a communication bus 640. Among them, the processor 610, the communications interface 620, and the memory 630 complete their mutual communication through the communication bus 640. The processor 610 can call the logical instructions in the memory 630 to execute the communication method of a multi-connected air conditioner, and this method includes: obtaining the working state of the multi-connected air conditioner; determining the communication data required by the outdoor unit based on the working state; importing the working state and the communication data into a priority model to generate a data list containing the working priority of the communication data; and based on the data list, sequentially sending the communication data to the outdoor unit according to the priority of each communication data.

[0133] In addition, when the logical instructions in the above-mentioned memory 630 can be implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0134] Furthermore, an embodiment of the present invention discloses a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the communication method provided by each of the above method embodiments. This communication method includes: obtaining the working state of the multi-connected air conditioner; determining the communication data required by the outdoor unit based on the working state; importing the working state and the communication data into a priority model to generate a data list containing the working priority of the communication data; and based on the data list, sequentially sending the communication data to the outdoor unit according to the priority of each communication data.

[0135] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A communication method for a multi-connected air conditioner, characterized in that The multi-connected air conditioner includes an outdoor unit and indoor units; the communication method of the multi-connected air conditioner includes: Obtain the working state of the multi-connected air conditioner; Based on the working state, determine the communication data required by the outdoor unit; Import the working state and the communication data into a priority model to generate a data list containing the working priorities of the communication data; Based on the data list, sequentially send the communication data to the outdoor unit according to the priorities of the communication data.

2. The communication method of the multi-connected air conditioner according to claim 1, wherein The communication data includes multiple indoor unit data; the step of sequentially sending the communication data to the outdoor unit according to the priorities of the communication data based on the data list includes: Group the indoor unit data in the data list according to the priorities to generate multiple groups of communication characteristic words corresponding to the indoor unit data and the working priorities; each group of the communication characteristic words corresponds to a different priority; Sequentially send each group of the communication characteristic words to the indoor units according to the priorities, and control the indoor units to feedback the indoor unit data according to the priorities.

3. The communication method of the multi-connected unit according to claim 2, characterized in that, The priorities of the indoor unit data include a first priority and a second priority; the multiple groups of the communication characteristic words include a first communication characteristic word corresponding to the first priority and a second communication characteristic word corresponding to the second priority; The step of sequentially sending each group of the communication characteristic words to the indoor units according to the priorities, and controlling the indoor units to feedback the indoor unit data according to the priorities includes: Send the first communication characteristic word to the indoor unit, and the indoor unit feeds back the indoor unit data corresponding to the first communication characteristic word; After the first communication characteristic word is sent for a first preset time, the indoor unit feeds back the indoor unit data corresponding to the second communication characteristic word.

4. The communication method of the multi-connected air conditioner according to claim 2, wherein The priorities of the indoor unit data include a first priority, a second priority, and a third priority; the multiple groups of the communication characteristic words include a first communication characteristic word corresponding to the first priority, a second communication characteristic word corresponding to the second priority, and a third communication characteristic word corresponding to the third priority; The step of sequentially sending each group of the communication characteristic words to the indoor units according to the priorities, and controlling the indoor units to feedback the indoor unit data according to the priorities includes: Send the first communication characteristic word to the indoor unit, and the indoor unit feeds back the indoor unit data corresponding to the first communication characteristic word; After the first communication characteristic word is sent for a first preset time, the indoor unit feeds back the indoor unit data corresponding to the second communication characteristic word; After the second communication characteristic word is sent for a second preset time, the indoor unit feeds back the indoor unit data corresponding to the third communication characteristic word.

5. The communication method of the multi-connected air conditioner according to claim 2, wherein The establishment process of the priority model includes the following steps: Collect a data set containing the working state, the indoor unit data, and corresponding priority labels; Load the data set into a deep learning model, train and construct the priority model, and verify and test the priority model.

6. The communication method of the multi-connected air conditioner according to claim 5, characterized in that, The data set includes: a training set, a validation set, and a test set; the step of loading the data set into a deep learning model, training and constructing the priority model, and verifying and testing the priority model includes: Load the training set into the deep learning model, train and construct the priority model; Load the verification and the test set into the priority model, and verify and test the priority model.

7. The communication method of the multi-connected air conditioner according to claim 5, characterized in that It further includes: Preprocess the data set, where the preprocessing includes at least one of data deduplication, outlier processing, missing value processing, and data formatting.

8. The communication method of the multi-connected air conditioner according to claim 5, characterized in that The deep learning model is one of a convolutional neural network model, a recurrent neural network model, or a Transformer model.

9. A control system for a multi-connected air conditioner, characterized in that, It includes: An acquisition module for acquiring the working state of the multi-connected air conditioner; A determination module for determining the communication data required by the outdoor unit based on the working state; A generation module for importing the working state and the communication data into the priority model to generate a data list of working priorities including the communication data; A sending module for sequentially sending the communication data to the outdoor unit based on the data list according to the priorities of the respective communication data.

10. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the communication method of the multi-connected air conditioner according to any one of claims 1 to 8.

11. A non-transitory computer-readable storage medium storing a computer program thereon, characterized in that, When the computer program is executed by the processor, it implements the communication method of the multi-connected air conditioner according to any one of claims 1 to 8.

12. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the communication method of the multi-connected air conditioner according to any one of claims 1 to 8.

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