An intelligent operation and maintenance system and method for a closed cooling tower based on an internet of things

Abstract

The application relates to an Internet of Things-based intelligent operation and maintenance system and method for a closed cooling tower, which comprises the following modules: a data acquisition module that acquires surrounding environment data and operation data of the closed cooling tower in real time; an abnormality analysis module that compares and analyzes the operation data to determine whether the closed cooling tower has operation abnormality; an environment analysis module that analyzes and calculates the surrounding environment data to obtain an environment influence index, and determines whether the closed cooling tower has surrounding environment abnormality according to the environment influence index; when the closed cooling tower has no operation abnormality and no surrounding environment abnormality, an operation and maintenance analysis module comprehensively analyzes the operation data in combination with the environment influence index to obtain an operation and maintenance risk index of the closed cooling tower, and determines whether the comprehensive operation condition of the closed cooling tower is abnormal according to the operation and maintenance risk index; and an abnormality alarm module sends abnormality alarm information to an operation and maintenance terminal. Real-time monitoring and rapid response are realized, and the problem of missed detection or misjudgment caused by human factors is avoided.

Description

Technical Field

[0001] This invention belongs to the field of cooling tower operation and maintenance technology, and particularly relates to an intelligent operation and maintenance system and method for closed cooling towers based on the Internet of Things. Background Technology

[0002] A closed-circuit cooling tower is a cooling device that integrates a tubular heat exchanger. It achieves cooling through air circulation and heat exchange between sprayed water and circulating water, ensuring the efficient and safe operation of the main equipment. Its closed-loop structure ensures water quality is not polluted and allows for adjustment of operating parameters according to environmental conditions, resulting in water conservation. In recent years, with the implementation of national energy conservation and emission reduction policies and the increasing scarcity of water resources, closed-circuit cooling towers have been widely used in industries such as power, metallurgy, aviation, chemical, machinery, and food. Taking ultra-high voltage direct current (UHVDC) transmission in the power sector as an example, the converter valve water cooling system is the core component ensuring the normal operation of the converter valve. It undertakes the critical tasks of heat dissipation and temperature control, removing the large amount of heat generated during valve operation and ensuring stable operation within a suitable temperature range, thereby guaranteeing the efficiency and reliability of the entire transmission system. In this system, the closed-circuit cooling tower, as a key component of the water cooling system, directly affects the cooling effect and even the safety of the converter valve and the transmission system. Therefore, timely and effective operation and maintenance checks of the closed-circuit cooling tower are crucial to effectively prevent equipment failure, extend equipment lifespan, and improve system operating efficiency.

[0003] However, the traditional operation and maintenance inspection methods for closed cooling towers mainly rely on manual periodic inspections and experience-based judgment. This method is not only inefficient and difficult to achieve real-time monitoring and rapid response, but it is also prone to missed inspections or misjudgments due to human factors, which increases the risk and cost of system operation. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides an intelligent operation and maintenance system and method for closed-loop cooling towers based on the Internet of Things.

[0005] The technical solution adopted in this invention is:

[0006] Firstly, an intelligent operation and maintenance system for closed-loop cooling towers based on the Internet of Things is provided, including:

[0007] Data acquisition module, anomaly analysis module, anomaly alarm module, environmental analysis module, and operation and maintenance analysis module;

[0008] The data acquisition module is used to collect real-time environmental data and operating data of the closed cooling tower through an IoT sensor array deployed on the closed cooling tower. The environmental data is sent to the environmental analysis module, and the operating data is sent to the anomaly analysis module and the operation and maintenance analysis module.

[0009] The anomaly analysis module is used to compare and analyze operational data to determine whether there are any operational anomalies in the closed cooling tower.

[0010] The environmental analysis module is used to analyze and calculate the environmental impact index of the surrounding environment of the closed cooling tower, and to determine whether there are any abnormalities in the surrounding environment of the closed cooling tower based on the environmental impact index.

[0011] The operation and maintenance analysis module is used to obtain the operation and maintenance risk index of the closed cooling tower by combining the operation data with the environmental impact index when there are no abnormalities in the operation of the closed cooling tower and no abnormalities in the surrounding environment. The operation and maintenance risk index is used to determine whether the overall operation status of the closed cooling tower is abnormal.

[0012] The abnormal alarm module is used to send abnormal alarm information to the operation and maintenance terminal when the closed cooling tower has an abnormal operation, abnormal surrounding environment, or abnormal overall operation status, so that the operation and maintenance personnel can handle the abnormality of the closed cooling tower according to the abnormal alarm information.

[0013] Furthermore, the IoT sensor array includes IoT-based temperature sensors, wind speed sensors, air pressure sensors, flow sensors, and vibration sensors.

[0014] Furthermore, the surrounding environmental data includes the ambient temperature, ambient wind speed, and atmospheric pressure around the closed cooling tower.

[0015] The operating data includes the temperature of the heat exchange coils, the flow rate of the nozzles, and the vibration intensity of the fan blades in the closed cooling tower.

[0016] Furthermore, the system also includes:

[0017] The data preprocessing module is used to standardize the ambient temperature, ambient wind speed, atmospheric pressure, heat exchange coil temperature, nozzle flow rate, and fan blade vibration intensity values. The standardization process uses the Min-Max standard method, the expression of which is:

[0018] ;

[0019] in, These are the standardized data values. For the first The numerical value of the data type , For the first The minimum value of the same type of data in the class. For the first The maximum value of the same type of data.

[0020] Furthermore, the anomaly analysis module includes:

[0021] The operation anomaly judgment unit is used to parse the operation data to obtain the heat exchange coil temperature value, nozzle flow rate value, and fan blade vibration intensity value. It compares the heat exchange coil temperature value, nozzle flow rate value, and fan blade vibration intensity value with the corresponding preset temperature threshold, preset flow rate threshold, and preset vibration threshold, respectively. If one or more of the heat exchange coil temperature value, nozzle flow rate value, and fan blade vibration intensity value are greater than the corresponding threshold, then an operation anomaly is determined to exist; if none of them are greater than the corresponding threshold, then no operation anomaly is determined to exist.

[0022] The operation exception information sending unit is used to send operation exception information to the exception alarm module according to the operation exception.

[0023] Furthermore, the environmental analysis module includes:

[0024] The Environmental Impact Index (EIA) calculation unit is used to analyze surrounding environmental data to obtain ambient temperature, wind speed, and atmospheric pressure values, and then calculate the EIA using the EIA calculation formula. The formula for calculating the Environmental Impact Index is as follows:

[0025] ;

[0026] in, This is the ambient temperature value. This is the preset maximum ambient temperature value during the stable operation of the closed-loop cooling tower. This is the preset minimum ambient temperature value for the stable operation of a closed-loop cooling tower. This refers to the ambient wind speed value. To preset the standard wind speed value, This is the atmospheric pressure value. This is the preset maximum atmospheric pressure value during the stable operation of the closed cooling tower. The preset minimum atmospheric pressure value for the stable operation of a closed-circuit cooling tower; Environmental Impact Index The higher the value, the greater the impact of the surrounding environment on the operation of the closed-circuit cooling tower; Environmental Impact Index The smaller the value, the less the surrounding environment of the closed cooling tower has an impact on its operation.

[0027] The surrounding environment anomaly judgment unit is used to obtain the preset environmental impact index. The preset environmental impact index will be used. Environmental Impact Index Compare; if Then it is determined that there is an anomaly in the surrounding environment; if If so, it can be determined that there is no abnormality in the surrounding environment;

[0028] The surrounding environment abnormality information sending unit is used to send surrounding environment abnormality information to the abnormality alarm module according to the surrounding environment abnormality.

[0029] Furthermore, the operations and maintenance analysis module includes:

[0030] The operation and maintenance risk index calculation unit is used to analyze operational data to obtain heat exchange coil temperature values, nozzle flow rates, and fan blade vibration intensity values, and to combine these with the environmental impact index. Substituting into the formula for calculating the operation and maintenance risk index, we obtain the operation and maintenance risk index. The formula for calculating the operation and maintenance risk index is as follows:

[0031] ;

[0032] in, This represents the average temperature of the heat exchange coil. This is the preset standard temperature value for the heat exchange coil. This is the nozzle flow rate value. To preset the maximum allowable flow rate of the nozzle, This represents the vibration intensity value of the wind turbine blades. This is the preset maximum allowable vibration intensity value for the wind turbine blades;

[0033] The comprehensive operational status anomaly judgment unit is used to obtain the preset operational risk upper limit threshold. and preset maintenance risk threshold ,when At that time, it was determined that the overall operating condition was good; when When, it is determined that the overall operating condition is not good; when At that time, it was determined that the overall operational condition was poor;

[0034] The comprehensive operation status abnormality information sending unit is used to send comprehensive operation status abnormality information to the abnormal alarm module when the comprehensive operation status of the closed cooling tower is poor or severe.

[0035] Secondly, an intelligent operation and maintenance method for closed-loop cooling towers based on the Internet of Things is provided, including:

[0036] By deploying an array of IoT sensors on the closed cooling tower, real-time data on the surrounding environment and the operation data of the closed cooling tower can be collected.

[0037] Comparative analysis of operational data is conducted to determine whether there are any operational abnormalities in the closed-loop cooling tower.

[0038] The environmental impact index of the surrounding environment of the closed cooling tower is obtained by analyzing and calculating the surrounding environmental data. Based on the environmental impact index, it is determined whether there is any abnormality in the surrounding environment of the closed cooling tower.

[0039] When there are no operational abnormalities in the closed-circuit cooling tower and no abnormalities in the surrounding environment, the operation and maintenance risk index of the closed-circuit cooling tower is obtained by comprehensive analysis based on the operation data and the environmental impact index. The operation and maintenance risk index is used to determine whether the overall operation status of the closed-circuit cooling tower is abnormal.

[0040] When a closed-circuit cooling tower experiences operational abnormalities, environmental anomalies, or overall operational status anomalies, it sends an alarm message to the maintenance terminal, enabling maintenance personnel to address the abnormality based on the alarm message.

[0041] The beneficial effects achieved by this invention are as follows:

[0042] The data acquisition module continuously collects and standardizes the surrounding environment and key operating parameters of the closed cooling tower, ensuring the consistency and comparability of the data and laying the foundation for subsequent analysis.

[0043] The anomaly analysis module performs real-time comparative analysis of the operating data of key components of the closed cooling tower, such as heat exchange coils, nozzles, and fan blades, including temperature, flow rate, and vibration intensity. Once an anomaly is detected, an alarm is triggered immediately. This not only ensures the stable operation of core components but also prevents the spread of local faults through timely intervention, thereby extending the overall lifespan of the equipment.

[0044] The environmental analysis module quantifies the impact of external conditions on equipment operation by calculating the environmental impact index, enabling the system to dynamically adapt to environmental changes and providing a scientific basis for operation and maintenance decisions.

[0045] The operation and maintenance analysis module integrates operational data with environmental impact indices to generate an operation and maintenance risk index, realizing a shift from passive response to proactive prevention. This enables maintenance personnel to formulate differentiated maintenance strategies based on the overall operational status of the closed cooling tower, optimizing the allocation of maintenance resources and significantly reducing the risk of sudden downtime.

[0046] This technology addresses the issue that traditional closed-loop cooling tower maintenance and inspection mainly rely on manual periodic inspections and experience-based judgment, enabling real-time monitoring and rapid response, and avoiding the problems of missed inspections or misjudgments caused by human factors. Attached Figure Description

[0047] Figure 1 This is a structural diagram of the IoT-based intelligent operation and maintenance system for closed-loop cooling towers according to the present invention.

[0048] Figure 2 This is a structural diagram of the intelligent operation and maintenance system for closed cooling towers, detailed in the anomaly analysis module of this invention.

[0049] Figure 3 This is a structural diagram of the intelligent operation and maintenance system for closed cooling towers, detailed in the environmental analysis module of this invention.

[0050] Figure 4 This is a structural diagram of the intelligent operation and maintenance system for closed cooling towers, detailed in the operation and maintenance analysis module of this invention.

[0051] Figure 5 This is a flowchart of the intelligent operation and maintenance method for closed cooling towers based on the Internet of Things according to the present invention. Detailed Implementation

[0052] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0053] like Figure 1 As shown, this embodiment of the invention provides an intelligent operation and maintenance system for closed-loop cooling towers based on the Internet of Things, including:

[0054] Data acquisition module 101, anomaly analysis module 102, environmental analysis module 103, operation and maintenance analysis module 104, and anomaly alarm module 105;

[0055] The data acquisition module 101 is used to collect surrounding environmental data and closed cooling tower operation data in real time through an IoT sensor array deployed on the closed cooling tower, and send the environmental data to the environmental analysis module 103, and the operation data to the anomaly analysis module 102 and the operation and maintenance analysis module 104.

[0056] The anomaly analysis module 102 is used to compare and analyze the operating data to determine whether there are any operational anomalies in the closed cooling tower.

[0057] The environmental analysis module 103 is used to analyze and calculate the environmental impact index of the surrounding environment of the closed cooling tower, and to determine whether there is any abnormality in the surrounding environment of the closed cooling tower based on the environmental impact index.

[0058] The operation and maintenance analysis module 104 is used to obtain the operation and maintenance risk index of the closed cooling tower by combining the operation data with the environmental impact index when there are no abnormalities in the operation of the closed cooling tower and no abnormalities in the surrounding environment. The operation and maintenance risk index is used to determine whether the overall operation status of the closed cooling tower is abnormal.

[0059] The abnormal alarm module 105 is used to send abnormal alarm information to the operation and maintenance terminal when the closed cooling tower has an abnormal operation, an abnormal surrounding environment, or an abnormal overall operation status, so that the operation and maintenance personnel can handle the abnormality of the closed cooling tower according to the abnormal alarm information.

[0060] Preferably, in some embodiments of the present invention, the Internet of Things (IoT) sensor array includes IoT-based temperature sensors (including an ambient temperature sensor for monitoring the environment and a coil temperature sensor for monitoring the heat exchange coil), wind speed sensors, air pressure sensors, flow sensors, and vibration sensors.

[0061] The surrounding environmental data includes the ambient temperature, ambient wind speed, and atmospheric pressure around the closed cooling tower; the operational data includes the heat exchange coil temperature, nozzle flow rate, and fan blade vibration intensity of the closed cooling tower.

[0062] Preferably, in some embodiments of the present invention, the system further includes:

[0063] The data preprocessing module is used to standardize the ambient temperature, ambient wind speed, atmospheric pressure, heat exchange coil temperature, nozzle flow rate, and fan blade vibration intensity values. The standardization process uses the Min-Max standard method, the expression of which is:

[0064] ;

[0065] in, These are the standardized data values. For the first The numerical value of the data type , For the first The minimum value of the same type of data in the class. For the first The maximum value of the same type of data.

[0066] The anomaly analysis module 102 receives operational data, compares and analyzes it, and determines the operational status of the closed-circuit cooling tower. Specific details include... Figure 2 As shown, in some embodiments of the present invention, the anomaly analysis module 102 includes:

[0067] The operation anomaly judgment unit 201 is used to parse the operation data to obtain the heat exchange coil temperature value, nozzle flow rate value, and fan blade vibration intensity value. It compares these values ​​with corresponding preset temperature thresholds, preset flow rate thresholds, and preset vibration thresholds, respectively. If one or more of these values ​​are greater than their corresponding thresholds, an operation anomaly is determined; if none are greater than their corresponding thresholds, no operation anomaly is determined. In other words, the preset temperature threshold, preset flow rate threshold, and preset vibration threshold are used to determine the operation anomaly. The threshold values ​​are set in advance. The preset temperature threshold is the upper limit of the temperature that the heat exchange coil can withstand when the closed cooling tower is running. If the temperature of the heat exchange coil exceeds the preset temperature threshold, it indicates an abnormal operation. The preset flow threshold is the theoretical maximum flow rate of the nozzles when the closed cooling tower is running. If the nozzle flow rate exceeds the preset flow rate threshold, it indicates that the nozzles may be damaged, i.e., an abnormal operation. The preset vibration threshold is the upper limit of the vibration intensity that the fan blades can withstand when the closed cooling tower is running. If the vibration intensity of the fan blades exceeds the preset vibration threshold, the fan blades may be damaged, i.e., an abnormal operation.

[0068] The operation abnormality information sending unit 202 is used to send operation abnormality information to the abnormality alarm module 105 according to the operation abnormality.

[0069] The environmental analysis module 103 receives environmental data surrounding the closed-circuit cooling tower and analyzes and calculates the environmental impact index of the surrounding environment. This environmental impact index reflects the impact of the surrounding environment on the operation of the closed-circuit cooling tower, such as... Figure 3 As shown, in some embodiments of the present invention, the environmental analysis module 103 includes:

[0070] The environmental impact index calculation unit 301 is used to analyze surrounding environmental data to obtain ambient temperature, ambient wind speed, and atmospheric pressure values, and to calculate the environmental impact index according to the environmental impact index calculation formula. The formula for calculating the Environmental Impact Index is as follows:

[0071] ;

[0072] in, This is the ambient temperature value. This is the preset maximum ambient temperature value during the stable operation of the closed-loop cooling tower. This is the preset minimum ambient temperature value for the stable operation of a closed-loop cooling tower. This refers to the ambient wind speed value. To preset the standard wind speed value, This is the atmospheric pressure value. This is the preset maximum atmospheric pressure value during the stable operation of the closed cooling tower. The preset minimum atmospheric pressure value for the stable operation of a closed-circuit cooling tower; Environmental Impact Index The higher the value, the greater the impact of the surrounding environment on the operation of the closed-circuit cooling tower; Environmental Impact Index The smaller the value, the less the surrounding environment of the closed cooling tower has an impact on its operation.

[0073] The surrounding environment anomaly judgment unit 302 is used to obtain a preset environmental impact index. The preset environmental impact index will be used. Environmental Impact Index Compare; if Then it is determined that there is an anomaly in the surrounding environment; if If so, it can be determined that there is no abnormality in the surrounding environment;

[0074] The surrounding environment abnormality information sending unit 303 is used to send surrounding environment abnormality information to the abnormality alarm module 105 according to the surrounding environment abnormality.

[0075] The operation and maintenance analysis module 104 receives the operating data of the closed-circuit cooling tower and performs a comprehensive analysis and calculation based on the environmental impact index to derive the operation and maintenance risk index of the closed-circuit cooling tower. This risk index reflects the overall operating status of the closed-circuit cooling tower, such as... Figure 4 As shown, in some embodiments of the present invention, the operation and maintenance analysis module 104 includes:

[0076] The operation and maintenance risk index calculation unit 401 is used to analyze operating data to obtain heat exchange coil temperature values, nozzle flow rates, and fan blade vibration intensity values, and to combine them with the environmental impact index. Substituting into the formula for calculating the operation and maintenance risk index, we obtain the operation and maintenance risk index. The formula for calculating the operation and maintenance risk index is as follows:

[0077] ;

[0078] in, This represents the average temperature of the heat exchange coil. This is the preset standard temperature value for the heat exchange coil. This is the nozzle flow rate value. To preset the maximum allowable flow rate of the nozzle, This represents the vibration intensity value of the wind turbine blades. This is the preset maximum allowable vibration intensity value for the wind turbine blades;

[0079] The comprehensive operation status anomaly judgment unit 402 is used to obtain the preset operation and maintenance risk upper limit threshold. and preset maintenance risk threshold ,when At that time, it was determined that the overall operating condition was good; when When, it is determined that the overall operating condition is not good; when At that time, it was determined that the overall operational condition was poor;

[0080] The comprehensive operation status abnormality information sending unit 403 is used to send comprehensive operation status abnormality information to the abnormal alarm module when the comprehensive operation status of the closed cooling tower is poor or severe.

[0081] If the overall operating condition of a closed-circuit cooling tower is poor, it will trigger the abnormal alarm unit to send abnormal information to the operation and maintenance terminal. Staff need to develop a short-term maintenance plan (such as completing the inspection within 24 hours) to prevent the overall operating condition of the closed-circuit cooling tower from deteriorating further. If the overall operating condition of a closed-circuit cooling tower is severe, it will trigger the abnormal alarm unit to send abnormal information to the operation and maintenance terminal and issue an alarm, and staff will be dispatched immediately to inspect and maintain the closed-circuit cooling tower.

[0082] The beneficial effects achieved by the embodiments of the present invention are as follows:

[0083] The data acquisition module continuously collects and standardizes the surrounding environment and key operating parameters of the closed cooling tower, ensuring the consistency and comparability of the data and laying the foundation for subsequent analysis.

[0084] The anomaly analysis module performs real-time comparative analysis of the operating data of key components of the closed cooling tower, such as heat exchange coils, nozzles, and fan blades, including temperature, flow rate, and vibration intensity. Once an anomaly is detected, an alarm is triggered immediately. This not only ensures the stable operation of core components but also prevents the spread of local faults through timely intervention, thereby extending the overall lifespan of the equipment.

[0085] The environmental analysis module quantifies the impact of external conditions on equipment operation by calculating the environmental impact index, enabling the system to dynamically adapt to environmental changes and providing a scientific basis for operation and maintenance decisions.

[0086] The operation and maintenance analysis module integrates operational data with environmental impact indices to generate an operation and maintenance risk index, realizing a shift from passive response to proactive prevention. This enables maintenance personnel to formulate differentiated maintenance strategies based on the overall operational status of the closed cooling tower, optimizing the allocation of maintenance resources and significantly reducing the risk of sudden downtime.

[0087] This technology addresses the issue that traditional closed-loop cooling tower maintenance and inspection mainly rely on manual periodic inspections and experience-based judgment, enabling real-time monitoring and rapid response, and avoiding the problems of missed inspections or misjudgments caused by human factors.

[0088] Based on the IoT-based intelligent operation and maintenance system for closed-loop cooling towers described in the above embodiments, the following embodiments illustrate the IoT-based intelligent operation and maintenance method for closed-loop cooling towers.

[0089] like Figure 5 As shown, this embodiment of the invention provides an intelligent operation and maintenance method for closed-loop cooling towers based on the Internet of Things, including:

[0090] 501. Through an IoT sensor array deployed on the closed cooling tower, real-time data on the surrounding environment and the operation data of the closed cooling tower are collected.

[0091] 502. Compare and analyze the operating data to determine if there are any operational abnormalities in the closed-circuit cooling tower;

[0092] 503. The environmental impact index of the surrounding environment of the closed cooling tower is obtained by analyzing and calculating the surrounding environmental data. The environmental impact index is used to determine whether there is any abnormality in the surrounding environment of the closed cooling tower.

[0093] 504. When there are no abnormalities in the operation of the closed cooling tower and no abnormalities in the surrounding environment, the operation and maintenance risk index of the closed cooling tower is obtained by comprehensive analysis based on the operation data and the environmental impact index. The operation and maintenance risk index is used to determine whether the overall operation status of the closed cooling tower is abnormal.

[0094] 505. When a closed-circuit cooling tower experiences operational abnormalities, environmental abnormalities, or overall operational abnormalities, an abnormal alarm message is sent to the maintenance terminal, enabling maintenance personnel to handle the abnormality of the closed-circuit cooling tower based on the alarm message.

[0095] It should be noted that the order of steps 502 and 503 above is not related.

[0096] The beneficial effects achieved by the embodiments of the present invention are as follows:

[0097] The data acquisition module continuously collects and standardizes the surrounding environment and key operating parameters of the closed cooling tower, ensuring the consistency and comparability of the data and laying the foundation for subsequent analysis.

[0098] The anomaly analysis module performs real-time comparative analysis of the operating data of key components of the closed cooling tower, such as heat exchange coils, nozzles, and fan blades, including temperature, flow rate, and vibration intensity. Once an anomaly is detected, an alarm is triggered immediately. This not only ensures the stable operation of core components but also prevents the spread of local faults through timely intervention, thereby extending the overall lifespan of the equipment.

[0099] The environmental analysis module quantifies the impact of external conditions on equipment operation by calculating the environmental impact index, enabling the system to dynamically adapt to environmental changes and providing a scientific basis for operation and maintenance decisions.

[0100] The operation and maintenance analysis module integrates operational data with environmental impact indices to generate an operation and maintenance risk index, realizing a shift from passive response to proactive prevention. This enables maintenance personnel to formulate differentiated maintenance strategies based on the overall operational status of the closed cooling tower, optimizing the allocation of maintenance resources and significantly reducing the risk of sudden downtime.

[0101] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0102] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0103] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0104] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0105] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. An intelligent operation and maintenance system for closed-loop cooling towers based on the Internet of Things, characterized in that, include: Data acquisition module, anomaly analysis module, anomaly alarm module, environmental analysis module, and operation and maintenance analysis module; The data acquisition module is used to collect ambient environmental data and the operation data of the closed cooling tower in real time through an IoT sensor array deployed on the closed cooling tower, and send the environmental data to the environmental analysis module, and the operation data to the anomaly analysis module and the operation and maintenance analysis module. The anomaly analysis module is used to compare and analyze the operating data to determine whether the closed cooling tower has any operational anomalies. The environmental analysis module is used to analyze and calculate the surrounding environmental data to obtain the environmental impact index of the environment surrounding the closed cooling tower, and to determine whether there is any abnormality in the surrounding environment of the closed cooling tower based on the environmental impact index. The operation and maintenance analysis module is used to obtain the operation and maintenance risk index of the closed cooling tower by comprehensively analyzing the operation data and the environmental impact index when there is no abnormal operation of the closed cooling tower and no abnormal surrounding environment. The module then determines whether the overall operation status of the closed cooling tower is abnormal based on the operation and maintenance risk index. The abnormal alarm module is used to send abnormal alarm information to the operation and maintenance terminal when the closed cooling tower has an abnormal operation, an abnormal surrounding environment, or an abnormal overall operation status, so that the operation and maintenance personnel can handle the abnormality of the closed cooling tower according to the abnormal alarm information.

2. The IoT-based intelligent operation and maintenance system for closed-loop cooling towers according to claim 1, characterized in that, The IoT sensor array includes IoT-based temperature sensors, wind speed sensors, air pressure sensors, flow sensors, and vibration sensors.

3. The IoT-based intelligent operation and maintenance system for closed-loop cooling towers according to claim 2, characterized in that, The surrounding environmental data includes the ambient temperature, ambient wind speed, and atmospheric pressure values ​​of the environment surrounding the closed cooling tower. The operating data includes the temperature of the heat exchange coils, the flow rate of the nozzles, and the vibration intensity of the fan blades in the closed cooling tower.

4. The IoT-based intelligent operation and maintenance system for closed-loop cooling towers according to claim 3, characterized in that, The system also includes: The data preprocessing module is used to standardize the ambient temperature, ambient wind speed, atmospheric pressure, heat exchange coil temperature, nozzle flow rate, and fan blade vibration intensity values. The standardization process uses the Min-Max standard method, and the expression for the Min-Max standard method is as follows: ； Among them, the The data values ​​are after standardization. For the first The numerical value of the data type The For the first The minimum value of the same type of data in the class, the For the first The maximum value of the same type of data.

5. The IoT-based intelligent operation and maintenance system for closed-loop cooling towers according to claim 3, characterized in that, The anomaly analysis module includes: An operational anomaly detection unit is used to parse the operational data to obtain the heat exchange coil temperature value, the nozzle flow rate value, and the fan blade vibration intensity value. It then compares these values ​​with corresponding preset temperature thresholds, preset flow rate thresholds, and preset vibration thresholds. If one or more of these values ​​are greater than their respective thresholds, an operational anomaly is determined to exist. If none of these values ​​are greater than their respective thresholds, no operational anomaly is determined to exist. An abnormal operation information sending unit is used to send abnormal operation information to the abnormal alarm module based on the abnormal operation.

6. The IoT-based intelligent operation and maintenance system for closed-loop cooling towers according to claim 3, characterized in that, The environmental analysis module includes: The environmental impact index calculation unit is used to analyze the surrounding environmental data to obtain the ambient temperature value, the ambient wind speed value, and the atmospheric pressure value, and to calculate the environmental impact index according to the environmental impact index calculation formula. The expression for the formula for calculating the environmental impact index is: ； Among them, the The ambient temperature value, the This is the preset maximum ambient temperature value during the stable operation of the closed cooling tower. The preset minimum ambient temperature value during the stable operation of the closed cooling tower is the The ambient wind speed value, the To preset the standard wind speed value, the The atmospheric pressure value, the The preset maximum atmospheric pressure value during the stable operation of the closed cooling tower is the value of the maximum atmospheric pressure. The preset minimum atmospheric pressure value during the stable operation of the closed cooling tower; the environmental impact index The larger the value, the greater the impact of the surrounding environment on the operation of the closed-circuit cooling tower; the environmental impact index The smaller the value, the less the surrounding environment of the closed cooling tower has an impact on its operation. The surrounding environment anomaly judgment unit is used to obtain the preset environmental impact index. The preset environmental impact index With the aforementioned environmental impact index Compare; if Then it is determined that there is an anomaly in the surrounding environment; if If so, it can be determined that there is no abnormality in the surrounding environment; An abnormal environment information sending unit is used to send abnormal environment information to the abnormal alarm module based on the abnormal environment.

7. The IoT-based intelligent operation and maintenance system for closed-loop cooling towers according to claim 3, characterized in that, The operation and maintenance analysis module includes: The operation and maintenance risk index calculation unit is used to analyze the operating data to obtain the heat exchange coil temperature value, the nozzle flow rate value, and the fan blade vibration intensity value, and to combine them with the environmental impact index. Substituting into the formula for calculating the operation and maintenance risk index, we obtain the operation and maintenance risk index. The expression for the formula used to calculate the operation and maintenance risk index is as follows: ； Among them, the This represents the average temperature of the heat exchange coil. The preset standard temperature value of the heat exchange coil, the The nozzle flow rate value, the The preset maximum allowable flow rate value for the nozzle is... The vibration intensity value of the wind turbine blades, the This is the preset maximum allowable vibration intensity value for the wind turbine blades; The comprehensive operational status anomaly judgment unit is used to obtain the preset operational risk upper limit threshold. and preset maintenance risk threshold ,when At that time, it was determined that the overall operating condition was good; when When, it is determined that the overall operating condition is not good; when At that time, it was determined that the overall operational condition was poor; The comprehensive operation status abnormality information sending unit is used to send comprehensive operation status abnormality information to the abnormality alarm module when the comprehensive operation status of the closed cooling tower is poor or severe.

8. A method for intelligent operation and maintenance of closed-loop cooling towers based on the Internet of Things, characterized in that, include: The surrounding environmental data and the operating data of the closed cooling tower are collected in real time through an IoT sensor array deployed on the closed cooling tower. The operational data is compared and analyzed to determine whether the closed-loop cooling tower has any operational abnormalities. The environmental impact index of the surrounding environment of the closed cooling tower is obtained by analyzing and calculating the surrounding environmental data, and the presence of any abnormal surrounding environment of the closed cooling tower is determined based on the environmental impact index. When the closed cooling tower is not in operation and there is no abnormality in the surrounding environment, the operation and maintenance risk index of the closed cooling tower is obtained by comprehensive analysis based on the operation data and the environmental impact index. The operation and maintenance risk index is used to determine whether the overall operation status of the closed cooling tower is abnormal. When the closed-circuit cooling tower experiences operational abnormalities, environmental abnormalities, or overall operational abnormalities, it sends an alarm message to the maintenance terminal, enabling maintenance personnel to address the abnormality based on the alarm message.

Images