Remote intelligent operation and maintenance air cooler system based on cloud platform and control method

Abstract

The invention relates to the technical field of intelligent control of refrigeration equipment, in particular to a remote intelligent operation and maintenance air cooler system based on a cloud platform and a control method. An intelligent control unit and a centralized control module of the equipment terminal layer realize remote parameter configuration and real-time equipment state monitoring, and in combination with a data storage unit of the cloud platform layer, a user can remotely adjust parameters through a mobile phone APP / WeChat service number unit or a Web unit without field debugging; the multi-stage fault response module achieves minute-level response through a first-stage response unit, a second-stage response unit and a third-stage response unit, and abnormal conditions are monitored in real time in combination with high-pressure / low-pressure sensors on a compressor and a condenser. An authority management unit of the cloud platform layer distinguishes operation and maintenance authority, and a data storage unit supports USB export and cloud synchronization and is matched with an evaporator and a temperature sensor and a compressor pressure sensor at the outlet end of a processing fan to form closed-loop management from data acquisition to analysis, so that a basis is provided for energy efficiency optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control of refrigeration equipment, and in particular to a remote intelligent operation and maintenance air cooler system and a control method based on a cloud platform. Background Art

[0002] Traditional air cooler technology plays a vital role in the field of refrigeration and cooling, providing basic temperature regulation for workplaces requiring rapid cooling in numerous production environments. Using the principles of physical cooling, these technologies can effectively lower the temperature in work areas, improving the working environment and ensuring the normal operation of production equipment and the comfort of workers. In locations with more relaxed temperature requirements, traditional air coolers can meet basic cooling needs. Their mature technology and relatively low cost have led to their widespread adoption in the market.

[0003] However, the control of traditional air coolers relies on manual operation or local controllers, which has many limitations. First, the problem of inefficient operation and maintenance is prominent, and on-site parameter debugging is required, and the equipment status cannot be monitored remotely. Second, fault response is delayed, and abnormal conditions rely on manual inspections, which can easily delay processing. Third, data management is weak, and there is a lack of long-term operation data recording and analysis functions. Summary of the Invention

[0004] The purpose of the present invention is to provide a remote intelligent operation and maintenance chiller system and control method based on a cloud platform, aiming to solve the following technical problems in the prior art: first, the problem of inefficient operation and maintenance is prominent, and on-site parameter debugging is required, and the equipment status cannot be remotely monitored; second, fault response is delayed, and abnormal conditions rely on manual inspections, which are prone to delayed processing; third, data management is weak, and there is a lack of long-term operation data recording and analysis functions.

[0005] To achieve the above-mentioned purpose, the present invention adopts a remote intelligent operation and maintenance air cooler system based on a cloud platform, which includes a device terminal layer, a cloud platform layer and a user interaction layer. The device terminal layer includes an air cooler body, a communication unit, a backup power supply unit and an intelligent control unit. The air cooler body is equipped with an evaporator, a processing fan, a condenser, a condensing fan, a liquid reservoir, a compressor, a drying filter, an electrical control box and a centralized control module. The centralized control module in the air cooler body is connected to the intelligent control unit, the intelligent control unit is connected to the communication unit, the communication unit is connected to the cloud platform layer, and the cloud platform layer is connected to the user interaction layer.

[0006] Among them, the evaporator is located at the front end of the air processing end of the air cooler body, the processing fan is located behind the evaporator, the condenser is located at the condensing air exhaust end of the air cooler body, the condensing fan is located above the condenser side, the liquid reservoir is located at the liquid outlet end of the condenser, the compressor is located on one inner side of the air cooler body, the drying filter is located at the liquid outlet end of the liquid reservoir, the electrical control box is located on the other inner side of the air cooler body, and the centralized control module is located on the electrical control box.

[0007] Among them, a filter is provided at one end of the evaporator, an air duct is provided at the other end of the evaporator, an ambient temperature sensor and a drain pipe are provided on the evaporator, and the drain pipe extends out of the air cooler body, an expansion valve is provided on the drying filter, a high-pressure sensor and a low-pressure sensor are provided on the compressor, and an outlet temperature sensor is provided at the outlet end of the processing fan.

[0008] Wherein, the cloud platform layer includes a data storage unit and a rights management unit;

[0009] The data storage unit is responsible for storing the operating data of the air cooler for ≥24 months;

[0010] The authority management unit is used to distinguish between operator authority and manufacturer maintenance authority.

[0011] The user interaction layer includes mobile APP, WeChat service account unit and Web unit;

[0012] The mobile phone APP and WeChat service account unit is used to obtain device operation data in real time through the IoT communication of the centralized control module and display it in the form of charts or numbers on the mobile phone;

[0013] The web unit is used to display the geographical distribution of devices on the web side, and supports filtering by region or batch starting and stopping multiple devices.

[0014] The remote intelligent operation and maintenance chiller system based on the cloud platform further includes a multi-level fault response module, which is connected to the cloud platform layer and includes a first-level response unit, a second-level response unit and a third-level response unit.

[0015] The first-level response unit is used to push fault information to ≥3 designated contacts through the mobile phone APP and WeChat service account unit, including the fault type, occurrence time and preliminary suggestions;

[0016] The secondary response unit is used by the cloud platform's built-in AI algorithm to analyze data before and after the fault and generate a repair plan;

[0017] The three-level response unit is used by the manufacturer to remotely send a reset instruction or start a backup operation strategy through the Web unit.

[0018] The present invention also provides a cloud platform-based remote intelligent operation and maintenance air cooler control method, which is applied to the above-mentioned cloud platform-based remote intelligent operation and maintenance air cooler system, comprising the following steps:

[0019] Continuously collecting data based on the ambient temperature sensor, the outlet temperature sensor, the high-pressure sensor, and the low-pressure sensor, and uploading the data to the cloud platform through the centralized control module;

[0020] When the intelligent control unit detects a fault, it immediately sends an alarm to ≥3 designated contacts via the mobile app and WeChat service account. If no confirmation is received within 10 minutes, the cloud platform initiates AI analysis, generates a repair plan based on historical data, and sends it to the manufacturer's technical terminal. The manufacturer then remotely sends a reset instruction or activates a backup strategy via the web unit.

[0021] Users implement differentiated operations through the mobile APP / WeChat service account or the Web unit;

[0022] The cloud platform has built-in AI algorithms to regularly analyze operating data and generate equipment health reports and energy efficiency optimization plans.

[0023] The present invention provides a remote intelligent operation and maintenance air cooler system and control method based on a cloud platform. To address inefficient operation and maintenance, the intelligent control unit of the equipment terminal layer and the centralized control module realize remote configuration of parameters and real-time monitoring of equipment status. Combined with the data storage unit of the cloud platform layer, users can remotely adjust parameters through the mobile phone APP / WeChat service account unit or the Web unit without on-site debugging; to address fault response lag, the multi-level fault response module achieves minute-level response through the first-level response unit, the second-level response unit and the third-level response unit, and combines the high-pressure / low-pressure sensors on the compressor and the condenser to monitor abnormalities in real time; to address weak data management, the authority management unit of the cloud platform layer distinguishes between operation and maintenance authorities, and the data storage unit supports USB export and cloud synchronization, and cooperates with the temperature sensor of the evaporator and the processing fan outlet and the compressor pressure sensor to form a closed-loop management from data collection to analysis, providing a basis for energy efficiency optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 It is a schematic diagram of the principles of the cloud platform-based remote intelligent operation and maintenance air cooler system and control method of the present invention.

[0026] Figure 2 It is a schematic diagram of the principle of the cloud platform layer in the cloud platform-based remote intelligent operation and maintenance air cooler system and control method of the present invention.

[0027] Figure 3 It is a schematic diagram of the principle of the user interaction layer in the cloud platform-based remote intelligent operation and maintenance air cooler system and control method of the present invention.

[0028] Figure 4 It is a schematic diagram of the principle of the multi-level fault response module in the remote intelligent operation and maintenance air cooler system and control method based on the cloud platform of the present invention.

[0029] Figure 5 It is a horizontal schematic diagram of the interior of the condensing fan in the cloud platform-based remote intelligent operation and maintenance air cooler system and control method of the present invention.

[0030] Figure 6 It is an internal longitudinal schematic diagram of the condensing fan in the cloud platform-based remote intelligent operation and maintenance air cooler system and control method of the present invention.

[0031] Figure 7 It is a schematic diagram of the internal side of the condensing fan in the cloud platform-based remote intelligent operation and maintenance air cooler system and control method of the present invention.

[0032] Figure 8 This is a step flow chart of a remote intelligent operation and maintenance air cooler control method based on a cloud platform of the present invention.

[0033] 1-Device terminal layer, 2-Cloud platform layer, 3-User interaction layer, 4-Air cooler body, 5-Communication unit, 6-Backup power supply unit, 7-Intelligent control unit, 8-Evaporator, 9-Processing fan, 10-Condenser, 11-Condensing fan, 12-Liquid reservoir, 13-Compressor, 14-Drying filter, 15-Electrical control box, 16-Centralized control module, 17-Filter, 18-Air duct, 19-Ambient temperature sensor, 20-Drain pipe, 21-Expansion valve, 22-High pressure sensor, 23-Low pressure sensor, 24-Outlet temperature sensor, 25-Data storage unit, 26-Permission management unit, 27-Mobile APP and WeChat service account unit, 28-Web unit, 29-Multi-level fault response module, 30-First level response unit, 31-Second level response unit, 32-Third level response unit, 33-Touch screen, 34-Air supply outlet. DETAILED DESCRIPTION

[0034] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0035] See also Figures 1 to 7 The present invention provides a remote intelligent operation and maintenance air cooler system based on a cloud platform, comprising a device terminal layer 1, a cloud platform layer 2 and a user interaction layer 3, wherein the device terminal layer 1 comprises an air cooler body 4, a communication unit 5, a backup power supply unit 6 and an intelligent control unit 7, and the air cooler body 4 is provided with an evaporator 8, a processing fan 9, a condenser 10, a condensing fan 11, a liquid reservoir 12, a compressor 13, a drying filter 14, an electric control box 15 and a centralized control module 16, the centralized control module 16 in the air cooler body 4 is connected to the intelligent control unit 7, the intelligent control unit 7 is connected to the communication unit 5, the communication unit 5 is connected to the cloud platform layer 2, and the cloud platform layer 2 is connected to the user interaction layer 3.

[0036] In this embodiment, the device terminal layer 1 overcomes the limitations of traditional air coolers that rely on local control. Users can remotely monitor device status, start and stop devices, and adjust parameters through a mobile phone app / WeChat service account or a web client, reducing on-site inspection costs. The centralized control module 16 has built-in IoT communication and supports multi-band switching, maintaining basic communication in weak signal areas. The backup power supply unit 6 provides power for 24 hours or more after a power outage, ensuring the normal operation of the PLC and touch screen 33 and preventing data loss. The cloud platform layer 2 addresses the weak data management issues of traditional systems. The data storage unit 25 stores 24 months or more of operating data and supports USB export and cloud synchronization, providing a long-term data analysis foundation for enterprises. The permission management unit 26 distinguishes between operator and manufacturer maintenance permissions to ensure data security. The cloud platform has a built-in AI algorithm that combines data from the high-pressure sensor 22 and the low-pressure sensor 23 to regularly generate device health reports and energy efficiency optimization plans. The user interaction layer 3 improves the user experience. Operators can view device status and receive fault alarms in real time through their mobile phones. Managers can use the web client to perform device mapping, energy efficiency analysis, and batch management of multiple devices, achieving centralized operation and maintenance.

[0037] Furthermore, the evaporator 8 is located at the front end of the air processing end of the air cooler body 4, the processing fan 9 is located behind the evaporator 8, and the processing fan 9 is provided with an air supply port 34. The condenser 10 is located at the condensing air exhaust end of the air cooler body 4, the condensing fan 11 is located above the side of the condenser 10, the liquid reservoir 12 is located at the liquid outlet end of the condenser 10, the compressor 13 is located on one inner side of the air cooler body 4, the drying filter 14 is located at the liquid outlet end of the liquid reservoir 12, the electrical control box 15 is located on the other inner side of the air cooler body 4, and the centralized control module 16 is located on the electrical control box 15.

[0038] In this embodiment, the evaporator 8 is used to cooperate with the filter 17 and the drain pipe 20 to achieve air cooling and condensed water discharge, optimize the air processing path, the filter 17 intercepts dust impurities, the low temperature on the surface of the evaporator 8 causes the moisture in the air to condense, and the drain pipe 20 leads the condensed water to the sewer pipe to avoid secondary pollution; the processing fan 9 is responsible for sending the cooled air to the process site to ensure the air circulation efficiency. The processing fan 9 works together with the evaporator 8 to form a stable air supply system to meet the rapid cooling requirements of the production environment; the condenser 10 and the condensing fan 11 are used to discharge the heat of the refrigerant. The condenser 10 is connected to the process site through a pipeline. The compressor 13 is connected to cool the high-temperature and high-pressure refrigerant into a liquid state; the condensing fan 11 accelerates the air flow, improves the heat dissipation efficiency, and reduces the energy consumption of the system; the compressor 13, the liquid reservoir 12 and the drying filter 14: the compressor 13 provides the refrigerant circulation power, the liquid reservoir 12 stabilizes the refrigerant flow, and the drying filter 14 removes moisture and impurities to prevent the system from being blocked and extend the life of the equipment; the electrical control box 15 and the centralized control module 16: the electrical control box 15 integrates electrical control components to ensure the safe operation of the equipment; the centralized control module 16 uploads the equipment data to the cloud platform through the Internet of Things communication module to support remote control and fault warning.

[0039] Furthermore, a filter screen 17 is provided at one end of the evaporator 8, an air duct 18 is provided at the other end of the evaporator 8, an ambient temperature sensor 19 and a drain pipe 20 are provided on the evaporator 8, and the drain pipe 20 extends out of the air cooler body 4, an expansion valve 21 is provided on the drying filter 14, a high-pressure sensor 22 and a low-pressure sensor 23 are provided on the compressor 13, and an outlet temperature sensor 24 is provided at the outlet end of the processing fan 9.

[0040] In this embodiment, the ambient temperature sensor 19 feeds back data to the controller to automatically adjust the working mode of the evaporator 8; the drain pipe 20 prevents accumulation of condensed water and prevents equipment corrosion; the expansion valve 21 adjusts the refrigerant flow according to load changes, and the drying filter 14 ensures the cleanliness of the refrigerant and improves the stability of the system; the high-pressure sensor 22 prevents the system from overpressure, and the low-pressure sensor 23 prevents the compressor 13 from running due to lack of fluorine, thereby extending the life of the equipment; the outlet temperature sensor 24 feeds back data to the controller, and combined with the target temperature set by the touch screen 33, automatically adjusts the load of the compressor 13 and the condensing fan 11 to achieve precise temperature control.

[0041] Furthermore, the cloud platform layer 2 includes a data storage unit 25 and a rights management unit 26;

[0042] The data storage unit 25 is responsible for storing the operating data of the air cooler for ≥ 24 months;

[0043] The authority management unit 26 is used to distinguish between operator authority and manufacturer maintenance authority.

[0044] In this embodiment, the data storage unit 25 provides long-term data support for the enterprise, assists in analyzing equipment energy efficiency, failure modes and optimizes operation strategies, and reduces maintenance costs; the authority management unit 26 ensures data security, prevents unauthorized operations, and allows manufacturers to perform remote maintenance to improve service efficiency.

[0045] Furthermore, the user interaction layer 3 includes a mobile phone APP and WeChat service account unit 27 and a Web unit 28;

[0046] The mobile phone APP and WeChat service account unit 27 is used to obtain device operation data in real time through the Internet of Things communication of the centralized control module 16 and display it in the form of charts or numbers on the mobile phone;

[0047] The web unit 28 is used to display the geographical location distribution of devices on the web side, and supports filtering by region or batch starting and stopping of multiple devices.

[0048] In this embodiment, through the mobile phone APP and WeChat service account unit 27, users can monitor the equipment anytime and anywhere through their mobile phones, receive fault information pushed by WeChat, and quickly respond to abnormalities; the Web unit 28 can facilitate managers to centrally manage multiple devices through the Web terminal, generate energy efficiency reports, optimize production plans, and reduce operating costs.

[0049] Furthermore, the cloud platform-based remote intelligent operation and maintenance chiller system further includes a multi-level fault response module 29, which is connected to the cloud platform layer 2 and includes a first-level response unit 30, a second-level response unit 31, and a third-level response unit 32;

[0050] The first-level response unit 30 is used to push fault information to ≥3 designated contacts through the mobile phone APP and WeChat service account unit 27, including the fault type, occurrence time and preliminary suggestions;

[0051] The secondary response unit 31 is used by the cloud platform's built-in AI algorithm to analyze data before and after the fault and generate a repair plan;

[0052] The third-level response unit 32 is used by the manufacturer to remotely send a reset instruction through the Web unit 28, or to start a backup operation strategy.

[0053] In this embodiment, the fault response time is shortened by the first-level response unit 30, ensuring that the administrator is informed of the abnormality in the first time and avoiding production interruption; the AI ​​algorithm of the second-level response unit 31 quickly locates the cause of the fault by comparing historical data, and provides solutions to reduce on-site maintenance needs; the third-level response unit 32 allows manufacturers to directly reset the equipment remotely or switch to the backup mode to ensure production continuity and reduce downtime losses.

[0054] In the invention, a battery module is also provided. The battery module is installed in a guide rail manner, is small and compact, and is easy to install and integrate into the control cabinet; it provides battery backup power supply, thereby ensuring the normal operation of the PLC and touch screen 33, and reducing equipment damage caused by power quality; when the equipment is shut down, the data and program will be saved in time with the help of the 0-5V signal of the relay contact. In addition, there is no need to restart the automation equipment after a power outage.

[0055] In the invention, the technical effects achieved by this design are: first, remote control reduces the need for on-site inspections; second, the equipment administrator can be automatically notified immediately after a equipment fault alarm occurs; third, it supports unified management of the unit APP or Web terminal, reducing the customer's initial investment.

[0056] See also Figure 8 The present invention also provides a remote intelligent operation and maintenance air cooler control method based on a cloud platform, which is applied to the above-mentioned remote intelligent operation and maintenance air cooler system based on a cloud platform, and includes the following steps:

[0057] S1: Continuously collect data based on the ambient temperature sensor 19, the outlet temperature sensor 24, the high pressure sensor 22 and the low pressure sensor 23, and upload the data to the cloud platform through the centralized control module 16;

[0058] S2: The intelligent control unit 7 detects a fault and immediately sends an alarm to ≥3 designated contacts via the mobile phone APP and WeChat service account unit 27. If no confirmation is received within 10 minutes, the cloud platform initiates AI analysis, generates a repair plan based on historical data, and sends it to the manufacturer's technical terminal. The manufacturer then remotely sends a reset instruction or activates a backup strategy via the web unit 28.

[0059] S3: The user implements differentiated operations through the mobile phone APP / WeChat service account or the Web unit 28;

[0060] S4: The cloud platform has built-in AI algorithms to regularly analyze operating data and generate equipment health reports and energy efficiency optimization solutions.

[0061] The above disclosure is only a preferred embodiment of the present invention, and certainly cannot be used to limit the scope of the rights of the present invention. Ordinary technicians in this field can understand that all or part of the processes of the above embodiment and equivalent changes made in accordance with the claims of the present invention are still within the scope of the invention.

Claims

1. A remote intelligent operation and maintenance air cooler system based on a cloud platform, characterized in that: It includes a device terminal layer, a cloud platform layer and a user interaction layer. The device terminal layer includes an air cooler body, a communication unit, a backup power supply unit and an intelligent control unit. The air cooler body is equipped with an evaporator, a processing fan, a condenser, a condensing fan, a liquid reservoir, a compressor, a drying filter, an electric control box and a centralized control module. The centralized control module in the air cooler body is connected to the intelligent control unit, the intelligent control unit is connected to the communication unit, the communication unit is connected to the cloud platform layer, and the cloud platform layer is connected to the user interaction layer.

2. The cloud platform-based remote intelligent operation and maintenance air cooler system according to claim 1, characterized in that: The evaporator is located at the front end of the air processing end of the air cooler body, the processing fan is located behind the evaporator, the condenser is located at the condensing air exhaust end of the air cooler body, the condensing fan is located above the condenser side, the liquid reservoir is located at the liquid outlet end of the condenser, the compressor is located on one inner side of the air cooler body, the drying filter is located at the liquid outlet end of the liquid reservoir, the electrical control box is located on the other inner side of the air cooler body, and the centralized control module is located on the electrical control box.

3. The cloud platform-based remote intelligent operation and maintenance air cooler system according to claim 2, characterized in that: A filter is provided at one end of the evaporator, an air duct is provided at the other end of the evaporator, an ambient temperature sensor and a drain pipe are provided on the evaporator, and the drain pipe extends out of the air cooler body, an expansion valve is provided on the drying filter, a high-pressure sensor and a low-pressure sensor are provided on the compressor, and an outlet temperature sensor is provided at the outlet end of the processing fan.

4. The cloud platform-based remote intelligent operation and maintenance air cooler system according to claim 3, characterized in that: The cloud platform layer includes a data storage unit and a rights management unit; The data storage unit is responsible for storing the operating data of the air cooler for ≥24 months; The authority management unit is used to distinguish between operator authority and manufacturer maintenance authority.

5. The cloud platform-based remote intelligent operation and maintenance air cooler system according to claim 4, characterized in that: The user interaction layer includes mobile APP and WeChat service account units and Web units; The mobile phone APP and WeChat service account unit is used to obtain device operation data in real time through the IoT communication of the centralized control module and display it in the form of charts or numbers on the mobile phone; The web unit is used to display the geographical distribution of devices on the web side, and supports filtering by region or batch starting and stopping multiple devices.

6. The cloud platform-based remote intelligent operation and maintenance air cooler system according to claim 5, characterized in that: The remote intelligent operation and maintenance air cooler system based on the cloud platform also includes a multi-level fault response module, which is connected to the cloud platform layer and includes a first-level response unit, a second-level response unit and a third-level response unit; The first-level response unit is used to push fault information to ≥3 designated contacts through the mobile phone APP and WeChat service account unit, including the fault type, occurrence time and preliminary suggestions; The secondary response unit is used by the cloud platform's built-in AI algorithm to analyze data before and after the fault and generate a repair plan; The three-level response unit is used by the manufacturer to remotely send a reset instruction or start a backup operation strategy through the Web unit.

7. A remote intelligent operation and maintenance chiller control method based on a cloud platform, applied to the remote intelligent operation and maintenance chiller system based on a cloud platform as claimed in claim 6, characterized in that: The steps include: Continuously collecting data based on the ambient temperature sensor, the outlet temperature sensor, the high-pressure sensor, and the low-pressure sensor, and uploading the data to the cloud platform through the centralized control module; When the intelligent control unit detects a fault, it immediately sends an alarm to ≥3 designated contacts via the mobile app and WeChat service account. If no confirmation is received within 10 minutes, the cloud platform initiates AI analysis, generates a repair plan based on historical data, and sends it to the manufacturer's technical terminal. The manufacturer then remotely sends a reset instruction or activates a backup strategy via the web unit. Users implement differentiated operations through the mobile APP / WeChat service account or the Web unit; The cloud platform has built-in AI algorithms to regularly analyze operating data and generate equipment health reports and energy efficiency optimization plans.

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