An online management system for dry-type variable cooling fan application services

Abstract

The present invention relates to the field of online management technology, and in particular to an online management system for dry variable cooling fan application services. The system includes a fan data monitoring and analysis module, an application service automatic start-stop wiring control module, a wiring on-off abnormality detection module, and a wiring on-off abnormality early warning debugging management module, which can obtain the operating temperature data of the dry variable cooling fan, the environmental temperature and humidity data, and the mechanical transformer vibration data, and perform environmental temperature and humidity compensation calibration and automatic start-stop control response analysis to generate the dry variable cooling fan automatic start-stop control command, and act on an independent trolley to perform fan automatic start-stop wiring control and wiring status online monitoring, while performing wiring on-off abnormality detection and intelligent early warning debugging management, generating a dry variable cooling fan wiring abnormality debugging management strategy, and executing the corresponding dry variable cooling fan start-stop wiring abnormality debugging management operation. The present invention can realize an efficient debugging management process for dry variable cooling fans.

Description

Technical Field

[0001] The present invention relates to the technical field of online management, and in particular to an online management system for dry variable cooling fan application services. Background Art

[0002] As an important heat dissipation device, dry cooling fan is widely used in power, petrochemical, metallurgy and other industries. This fan can effectively reduce the temperature of the equipment through air heat dissipation, ensuring the safety and stability of the production process. With the development of intelligent technology, fan management systems based on the Internet of Things (IoT) technology have gradually appeared on the market. Although these systems realize real-time monitoring and management of dry cooling fans by integrating advanced sensor technology, cloud computing and big data analysis, this method should have efficient data acquisition capabilities, be able to obtain important parameters such as the operating status, ambient temperature, humidity, etc. of the fan in real time, and upload these data to the cloud for centralized management and analysis, so as to realize the remote monitoring and management process of dry cooling fans. However, the traditional fan management systems mentioned above are mostly remote monitoring and manual control management, lacking online monitoring and automatic management functions, resulting in a decrease in the management performance of dry cooling fan equipment. In addition, during the installation of the fan start-stop wiring, there are often problems with abnormal wiring continuity. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide an online management system for dry variable cooling fan application services to solve at least one of the above technical problems.

[0004] To achieve the above purpose, an online management system for dry variable cooling fan application service includes the following modules:

[0005] The fan data monitoring and analysis module is used to obtain the operating temperature data of the dry variable cooling fan, the ambient temperature and humidity data of the dry variable cooling fan, and the mechanical transformer vibration data of the dry variable cooling fan, and perform ambient temperature and humidity compensation calibration on the operating temperature data of the dry variable cooling fan based on the ambient temperature and humidity data of the dry variable cooling fan to obtain the actual operating temperature calibration data of the dry variable cooling fan;

[0006] The application service automatic start-stop wiring control module is used to analyze the automatic start-stop control response of the dry-type variable cooling fan application service based on the actual operating temperature calibration data of the dry-type variable cooling fan and the mechanical transformer vibration data of the dry-type variable cooling fan, so as to generate the automatic start-stop control command of the dry-type variable cooling fan; the automatic start-stop control command of the dry-type variable cooling fan is applied to the independent trolley to perform the automatic start-stop wiring control of the fan, so as to generate the automatic start-stop wiring control process of the dry-type variable cooling fan;

[0007] The wiring on-off abnormality detection module is used to perform online monitoring of the wiring status between the dry-type variable cooling fan wiring module and the independent trolley in the automatic start-stop wiring control process of the dry-type variable cooling fan, so as to obtain the online parameter set of the dry-type variable cooling fan start-stop wiring control; based on the online parameter set of the dry-type variable cooling fan start-stop wiring control, the wiring on-off abnormality detection is performed on the automatic start-stop wiring control process of the dry-type variable cooling fan, and the dry-type variable cooling fan start-stop wiring on-off abnormality is obtained;

[0008] The wiring on-off abnormal warning debugging management module is used to perform intelligent warning debugging management on the abnormal on-off of the dry-type variable cooling fan start-stop wiring, generate the dry-type variable cooling fan wiring abnormal debugging management strategy, and execute the corresponding dry-type variable cooling fan start-stop wiring abnormal debugging management operations.

[0009] Furthermore, the wind turbine data monitoring and analysis module includes the following functions:

[0010] Obtain the operating temperature data of the dry-type variable-speed cooling fan, the ambient temperature and humidity data of the dry-type variable-speed cooling fan, and the mechanical transformer vibration data of the dry-type variable-speed cooling fan;

[0011] Perform time series synchronization processing on the dry variable cooling fan operating temperature data and the dry variable cooling fan ambient temperature and humidity data to obtain the fan operating temperature time series data and the fan ambient temperature and humidity time series data in the same time series dimension;

[0012] Designing environmental temperature and humidity conditions for the fan environmental temperature and humidity time series data to generate different dry variable cooling fan environmental temperature and humidity operating conditions, wherein the dry variable cooling fan environmental temperature and humidity operating conditions include high temperature and high humidity environmental operating conditions, high temperature and low humidity environmental operating conditions, low temperature and high humidity environmental operating conditions, and low temperature and low humidity environmental operating conditions;

[0013] Based on different dry variable cooling fan ambient temperature and humidity operating conditions, the impact of operating temperature environment compensation on the fan operating temperature time series data is evaluated to obtain the dry variable cooling fan operating temperature compensation factor corresponding to different ambient temperature and humidity operating conditions;

[0014] Based on the corresponding dry variable cooling fan operating temperature compensation factor under different ambient temperature and humidity operating conditions, the corresponding fan operating temperature time series data is calibrated for actual operating temperature compensation to obtain the dry variable cooling fan actual operating temperature calibration data.

[0015] Furthermore, the evaluation of the impact of operating temperature environment compensation on the fan operating temperature time series data based on different dry variable cooling fan ambient temperature and humidity operating conditions includes:

[0016] When it is determined that the ambient temperature and humidity operating condition of the dry variable cooling fan is a high temperature and high humidity ambient operating condition, the fan operating temperature time series data is synchronously divided into operating time periods based on the high temperature and high humidity ambient operating condition to obtain the corresponding fan operating temperature time series segmentation under the high temperature and high humidity ambient operating condition;

[0017] The temperature compensation impact assessment calculation of the fan operating temperature corresponding to the high temperature and high humidity environment operating conditions is performed in segments to obtain the corresponding dry variable cooling fan operating temperature compensation factor under the high temperature and high humidity environment operating conditions;

[0018] Similarly, based on the remaining high temperature and low humidity environment operating conditions, low temperature and high humidity environment operating conditions, and low temperature and low humidity environment operating conditions, the corresponding fan operating temperature time series data is evaluated and calculated to obtain the corresponding dry variable cooling fan operating temperature compensation factors under the high temperature and low humidity environment operating conditions, the low temperature and high humidity environment operating conditions, and the low temperature and low humidity environment operating conditions;

[0019] The compensation factors of the dry variable cooling fan operating temperature compensation factors corresponding to the high temperature and high humidity environment operating conditions, the high temperature and low humidity environment operating conditions, the low temperature and high humidity environment operating conditions, and the low temperature and low humidity environment operating conditions are merged to obtain the dry variable cooling fan operating temperature compensation factors corresponding to the operating conditions of different ambient temperature and humidity.

[0020] Furthermore, the high temperature and high humidity operating temperature compensation impact evaluation calculation of the fan operating temperature time sequence segment corresponding to the high temperature and high humidity operating conditions includes the following steps:

[0021] The fan operating temperature timing corresponding to the high temperature and high humidity environment operating conditions is segmented and analyzed for the operating temperature timing change, and the fan operating temperature timing change trend curve corresponding to the high temperature and high humidity environment operating conditions is obtained;

[0022] Obtain the ambient temperature and humidity change data corresponding to the dry variable cooling fan under the high temperature and high humidity environment operating conditions, and perform a statistical analysis of the temperature and humidity change amplitude of the ambient temperature and humidity change data corresponding to the dry variable cooling fan under the high temperature and high humidity environment operating conditions to obtain the high temperature change amplitude of the dry variable cooling fan and the high humidity change amplitude of the dry variable cooling fan;

[0023] The temperature and humidity change gradients are quantitatively calculated for the high temperature change amplitude of the dry variable cooling fan and the high humidity change amplitude of the dry variable cooling fan, respectively, to obtain the high temperature change gradient of the dry variable cooling fan and the high humidity change gradient of the dry variable cooling fan;

[0024] Based on the high temperature change gradient of the dry variable cooling fan and the high humidity change gradient of the dry variable cooling fan, the temperature compensation impact calculation formula is used to evaluate the temperature compensation impact of the fan operating temperature time series change trend curve under the high temperature and high humidity environment operating conditions, and the corresponding dry variable cooling fan operating temperature compensation factor under the high temperature and high humidity environment operating conditions is obtained.

[0025] Furthermore, the operating temperature compensation influence calculation formula is specifically as follows:

[0026]

[0027] In the formula, is the operating temperature compensation factor of the dry variable cooling fan corresponding to the operating conditions of high temperature and high humidity environment, The start time of operation under high temperature and high humidity environment conditions. The end time of operation under high temperature and high humidity environment conditions. is the integral time variable parameter, For high temperature and high humidity operating conditions at time The fan operating temperature change value at It is the reference value of fan operating temperature under high temperature and high humidity environment. For high temperature and high humidity operating conditions at time The fan operating humidity change value at It is the reference value of fan operating humidity under high temperature and high humidity environment. is the interaction coefficient between fan operating temperature and humidity, It is the high temperature gradient of the dry variable cooling fan. is the weight coefficient of the ambient temperature change gradient, For high temperature and high humidity operating conditions at time The fan environment high temperature change value at For high temperature and high humidity operating conditions at time The fan environment high temperature change value at It is the high humidity gradient of dry variable cooling fan. is the weight coefficient of the environmental humidity change gradient, For high temperature and high humidity operating conditions at time The high humidity change value of the fan environment at For high temperature and high humidity operating conditions at time The high humidity change value of the fan environment at It is the correction factor of the operating temperature compensation factor of the dry variable cooling fan.

[0028] Furthermore, the application service automatic start and stop wiring control module includes the following functions:

[0029] Based on the actual operating temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan, the application operation load analysis of the dry variable cooling fan application service is performed to obtain the operating load change data of the dry variable cooling fan application service;

[0030] Performing frequency domain conversion on the operating load variation data of the dry variable cooling fan application service to generate an operating load variation spectrum of the dry variable cooling fan;

[0031] The frequency band variation pattern recognition analysis is performed on the load variation spectrum of the dry variable cooling fan to obtain the frequency band fluctuation variation pattern of the load of the dry variable cooling fan.

[0032] Compare and judge the fluctuation change patterns of the operating load frequency bands of the dry variable cooling fans. When the fluctuation change patterns of the operating load frequency bands of several variable cooling fans are that the fluctuation change of the operating load in each specific frequency band gradually increases and none of them exceeds the preset safety threshold, the corresponding dry variable cooling fan application service is started to respond to the fan control to generate a dry variable cooling fan start control instruction; when the fluctuation change patterns of the operating load frequency bands of several variable cooling fans are that the fluctuation change of the operating load in each specific frequency band gradually increases and at least one exceeds the preset safety threshold, the corresponding dry variable cooling fan application service is stopped to respond to the fan control to generate a dry variable cooling fan stop control instruction;

[0033] The dry-type variable cooling fan start control command and the dry-type variable cooling fan stop control command are respectively applied to independent trolleys to perform automatic start and stop wiring control of the fan, so as to generate the dry-type variable cooling fan automatic start and stop wiring control process.

[0034] Further, the application operation load analysis of the dry variable cooling fan application service based on the actual operation temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan includes:

[0035] Perform mechanical operation vibration characteristic analysis on the mechanical transformer vibration data of the dry-type variable speed cooling fan to obtain mechanical operation vibration characteristic data of the dry-type variable speed cooling fan;

[0036] Based on the actual operating temperature calibration data of the dry variable cooling fan, the operating vibration characteristic correlation analysis of the mechanical operating vibration characteristic data of the dry variable cooling fan is carried out to obtain the dynamic correlation relationship between the operating temperature change of the dry variable cooling fan and the mechanical vibration characteristics;

[0037] Based on the dynamic correlation between the operating temperature change and mechanical vibration characteristics of the dry variable cooling fan, the actual operating temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan are used to evaluate and analyze the operating state load impact, and the operating state load impact factor of the dry variable cooling fan is obtained;

[0038] Based on the load influencing factors of the operating state of the dry variable cooling fan, the application operation load analysis of the dry variable cooling fan application service is performed to obtain the operating load change data of the dry variable cooling fan application service.

[0039] Furthermore, the wiring on-off abnormality detection module includes the following functions:

[0040] Conduct online monitoring of the wiring on-off state current between the dry-type variable temperature cooling fan wiring module and the independent trolley in the automatic start-stop wiring control process of the dry-type variable temperature cooling fan to obtain the online current parameters of the dry-type variable temperature cooling fan start-stop wiring on-off state;

[0041] Conduct online monitoring of the voltage on and off state of the wiring between the dry-type variable cooling fan wiring module and the independent trolley in the automatic start and stop wiring control process of the dry-type variable cooling fan to obtain the online voltage parameters of the on and off state of the dry-type variable cooling fan start and stop wiring;

[0042] Merge the online current parameter of the on / off state of the dry-type variable cooling fan start / stop wiring and the online voltage parameter of the dry-type variable cooling fan start / stop wiring to obtain the online parameter set of the dry-type variable cooling fan start / stop wiring control;

[0043] Based on the online parameter set of the dry-type variable temperature cooling fan start-stop wiring control, the dry-type variable temperature cooling fan automatic start-stop wiring control process is detected for wiring on-off anomaly, and the dry-type variable temperature cooling fan start-stop wiring on-off anomaly is obtained.

[0044] Further, the wiring on-off abnormality detection of the automatic start-stop wiring control process of the dry-type variable cooling fan based on the online parameter set of the dry-type variable cooling fan start-stop wiring control includes:

[0045] Conduct electrical state waveform analysis on the online current parameters and online voltage parameters in the online parameter set of the start-stop wiring control of the dry-type variable cooling fan, and obtain a current waveform subgraph of the start-stop wiring of the dry-type variable cooling fan and a voltage waveform subgraph of the start-stop wiring of the dry-type variable cooling fan;

[0046] The wiring on-off state amplitude change analysis is performed on the dry-type variable cooling fan start-stop wiring current waveform sub-graph and the dry-type variable cooling fan start-stop wiring voltage waveform sub-graph respectively, and the wiring on-off state current fluctuation change amplitude and the wiring on-off state voltage fluctuation change amplitude are obtained;

[0047] Based on the current fluctuation change amplitude of the wiring on-off state, the instantaneous current change rate of the dry-type variable cooling fan start-stop wiring current waveform sub-graph is quantitatively calculated to obtain the instantaneous change rate of the current fluctuation of the wiring on-off state; based on the voltage fluctuation change amplitude of the wiring on-off state, the instantaneous voltage change rate of the dry-type variable cooling fan start-stop wiring voltage waveform sub-graph is quantitatively calculated to obtain the instantaneous change rate of the voltage fluctuation of the wiring on-off state;

[0048] Based on the instantaneous change rate of current fluctuation in the on-off state of the wiring and the instantaneous change rate of voltage fluctuation in the on-off state of the wiring, the on-off stability evaluation calculation formula of the wiring is used to evaluate the on-off stability of the corresponding automatic start-stop wiring control process of the dry-type variable cooling fan, so as to obtain the on-off stability score of the start-stop wiring of the dry-type variable cooling fan;

[0049] Among them, the calculation formula for wiring on-off stability evaluation is as follows:

[0050]

[0051] In the formula, Score the stability of the on / off state of the start / stop wiring of the dry-type variable-speed cooling fan. The time window for evaluating the on-off stability, For stability assessment instantaneous time-variable parameters, The start and stop wiring status of the dry-type cooling fan at the instantaneous time point The current value at is the instantaneous rate of change of current fluctuation in the on-off state of the wiring, is the current instantaneous change stability weight coefficient, The start and stop wiring status of the dry-type cooling fan at the instantaneous time point The voltage value at is the instantaneous rate of change of voltage fluctuation in the on-off state of the wiring, is the voltage instantaneous change stability weight coefficient, Correction factor for the stability score of the on / off state of the start / stop wiring of the dry-type variable-speed cooling fan;

[0052] Based on the dry-type variable temperature cooling fan start-stop wiring on-off state stability score, the corresponding dry-type variable temperature cooling fan automatic start-stop wiring control process is detected for wiring on-off anomaly, and the dry-type variable temperature cooling fan start-stop wiring on-off anomaly is obtained.

[0053] Furthermore, the wiring abnormality warning debugging management module includes the following functions:

[0054] Intelligent early warning response processing is performed on the abnormal on / off of the start / stop wiring of the dry-type variable-speed cooling fan to generate an early warning response signal for the abnormal start / stop wiring of the dry-type variable-speed cooling fan;

[0055] The abnormal early warning response signal of the start and stop wiring of the dry-type variable-speed cooling fan is applied to the built-in online management platform to perform abnormal wiring debugging control processing, and obtain the abnormal wiring debugging control instruction of the start and stop wiring of the dry-type variable-speed cooling fan;

[0056] According to the abnormal debugging control instructions of the start and stop wiring of the dry-type variable cooling fan, abnormal warning debugging management is performed, and a dry-type variable cooling fan wiring abnormal debugging management strategy is generated to execute the corresponding dry-type variable cooling fan start and stop wiring abnormal debugging management operations.

[0057] Beneficial effects of the present invention:

[0058] The online management system for the application service of the dry variable cooling fan proposed in the present invention is generally composed of a fan data monitoring and analysis module, an application service automatic start and stop wiring control module, a wiring on and off abnormal detection module, and a wiring on and off abnormal warning debugging management module. Compared with the prior art, the beneficial effect of the present application is that the operating temperature, environmental temperature and humidity, and mechanical transformer vibration data of the dry variable cooling fan are obtained in real time by using sensors and data acquisition systems. The purpose of obtaining these data is to fully understand the state of the fan in actual operation. These data provide a basis for subsequent analysis and help to judge the working efficiency of the fan and its operating stability. At the same time, by calibrating the ambient temperature and humidity compensation for the operating temperature data of the dry variable cooling fan based on the ambient temperature and humidity data of the dry variable cooling fan, an accurate actual operating temperature can be obtained. This step transforms the theoretical research on the corresponding dry variable cooling fan operating temperature compensation factor into practical application, ensuring the accuracy and reliability of the operating temperature data, and can effectively reduce the risks caused by ambient temperature and humidity fluctuations, thereby providing basic data guarantee for the subsequent fan online management process. Secondly, the automatic start-stop control response analysis of the dry variable cooling fan application service is performed based on the actual operating temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan to determine the control response of the dry variable cooling fan. The core of this process is to compare and analyze the operating load fluctuation of the fan in each specific frequency band according to the corresponding operating temperature data and mechanical transformer vibration data, and judge whether it exceeds the preset safety threshold. This judgment mechanism can not only monitor the equipment status in real time and ensure the safe operation of the equipment, but also greatly improve the operating efficiency. The automatic start-stop wiring control of the fan is also carried out by applying the start and stop control instructions to the independent trolley. This process makes the operation of the fan more intelligent and truly realizes automated management. By accurately transmitting the control instructions to the fan system, the online monitoring and automated management functions of the fan operation can be realized, thereby improving the online management performance of the dry variable cooling fan equipment. Then, the wiring status between the dry variable cooling fan wiring module and the independent trolley in the automatic start and stop wiring control process of the dry variable cooling fan is monitored online to monitor and generate the online parameter set of the dry variable cooling fan start and stop wiring control. The significance of this process is to integrate the data of different monitoring dimensions into a unified data set, which is convenient for a comprehensive evaluation of the fan operation status, thereby providing more accurate abnormal diagnosis information. The dry variable cooling fan automatic start and stop wiring control process is also detected for wiring on-off anomalies based on the dry variable cooling fan start and stop wiring control online parameter set. This process can timely detect abnormal conditions between the wiring module and the independent trolley by analyzing the combined current and voltage parameters, ensure the normal start and stop operation of the fan, and avoid equipment damage caused by wiring problems, so that the corresponding wiring on-off abnormalities can be monitored in real time.Finally, by conducting intelligent early warning and debugging management on the abnormal on / off wiring of the dry variable cooling fan, a corresponding abnormal debugging management strategy is formulated, making the debugging and management of the equipment more scientific and systematic. By combining abnormal warning with debugging strategy, a complete set of standard operating procedures (SOP) can be formed in the management process to ensure that each debugging work has a basis to rely on. This will greatly improve the intelligence level of the entire equipment management, and then promote the efficiency and automation of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0060] Figure 1 A schematic diagram of a module of an online management system for dry-type variable cooling fan application services of the present invention;

[0061] Figure 2 for Figure 1 Schematic diagram of the functional flow of the stroke machine data monitoring and analysis module;

[0062] Figure 3 for Figure 2 Functional flow diagram of the automatic start and stop wiring control module of the application service. DETAILED DESCRIPTION

[0063] The technical system of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0064] To achieve this, please refer to Figures 1 to 3 The present invention provides an online management system for dry variable cooling fan application services, the system comprising the following modules:

[0065] The fan data monitoring and analysis module is used to obtain the operating temperature data of the dry variable cooling fan, the ambient temperature and humidity data of the dry variable cooling fan, and the mechanical transformer vibration data of the dry variable cooling fan, and perform ambient temperature and humidity compensation calibration on the operating temperature data of the dry variable cooling fan based on the ambient temperature and humidity data of the dry variable cooling fan to obtain the actual operating temperature calibration data of the dry variable cooling fan;

[0066] The application service automatic start-stop wiring control module is used to analyze the automatic start-stop control response of the dry-type variable cooling fan application service based on the actual operating temperature calibration data of the dry-type variable cooling fan and the mechanical transformer vibration data of the dry-type variable cooling fan, so as to generate the automatic start-stop control command of the dry-type variable cooling fan; the automatic start-stop control command of the dry-type variable cooling fan is applied to the independent trolley to perform the automatic start-stop wiring control of the fan, so as to generate the automatic start-stop wiring control process of the dry-type variable cooling fan;

[0067] The wiring on-off abnormality detection module is used to perform online monitoring of the wiring status between the dry-type variable cooling fan wiring module and the independent trolley in the automatic start-stop wiring control process of the dry-type variable cooling fan, so as to obtain the online parameter set of the dry-type variable cooling fan start-stop wiring control; based on the online parameter set of the dry-type variable cooling fan start-stop wiring control, the wiring on-off abnormality detection is performed on the automatic start-stop wiring control process of the dry-type variable cooling fan, and the dry-type variable cooling fan start-stop wiring on-off abnormality is obtained;

[0068] The wiring on-off abnormal warning debugging management module is used to perform intelligent warning debugging management on the abnormal on-off of the dry-type variable cooling fan start-stop wiring, generate the dry-type variable cooling fan wiring abnormal debugging management strategy, and execute the corresponding dry-type variable cooling fan start-stop wiring abnormal debugging management operations.

[0069] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of an online management system for a dry variable cooling fan application service of the present invention. In this example, the online management system for a dry variable cooling fan application service includes the following modules:

[0070] S1: fan data monitoring and analysis module, used to obtain the dry variable cooling fan operating temperature data, dry variable cooling fan ambient temperature and humidity data and dry variable cooling fan mechanical transformer vibration data, and perform ambient temperature and humidity compensation calibration on the dry variable cooling fan operating temperature data based on the dry variable cooling fan ambient temperature and humidity data to obtain the actual operating temperature calibration data of the dry variable cooling fan;

[0071] In an embodiment of the present invention, a real-time monitoring system is built to collect the operating temperature of the dry variable cooling fan through sensors installed on the dry variable cooling fan. These sensors can be thermocouples or thermistors, which are responsible for measuring the temperature of the fan under different working conditions. At the same time, the ambient temperature and humidity data can be obtained through environmental monitoring sensors. These sensors should be installed in the same environment as the fan to ensure the accuracy and consistency of the data, and the mechanical transformer vibration data is obtained through vibration sensors. Usually accelerometers or velocity sensors are selected, which can monitor the vibration generated during the operation of the fan. The above three types of data will be transmitted to the central control system in real time through the real-time monitoring system, so as to obtain the operating temperature data of the dry variable cooling fan, the ambient temperature and humidity data of the dry variable cooling fan, and the mechanical transformer vibration data of the dry variable cooling fan. By performing time series synchronization processing on the dry variable cooling fan operating temperature data and the dry variable cooling fan ambient temperature and humidity data obtained by previous real-time monitoring, each data point in the operating temperature and ambient temperature and humidity data is marked with its corresponding acquisition time using a timestamp, and the data is supplemented by an interpolation algorithm (such as linear interpolation or spline interpolation) to eliminate the time difference caused by inconsistent sensor acquisition frequencies. Environmental conditions are designed based on the synchronized fan ambient temperature and humidity time series data, and historical data are clustered using a statistical analysis-based method to determine different environmental operating conditions. Four different environmental operating conditions can be generated, namely high temperature and high humidity, high temperature and low humidity, low temperature and high humidity, and low temperature and low humidity. The environmental temperature and humidity operating conditions generated by the previous design are combined to perform environmental compensation on the corresponding fan operating temperature time series data obtained after time series synchronization. Evaluation calculation is carried out by establishing a mathematical model and combining the four designed environmental conditions to analyze the fan operating temperature time series data. Regression analysis method can be used to evaluate the changing trend of operating temperature under different environmental conditions and calculate the corresponding temperature compensation factors. These factors can characterize the degree of influence of different environmental conditions on the fan operating temperature. Then, after obtaining the corresponding operating temperature compensation factors under different environmental temperature and humidity operating conditions, the actual operating temperature compensation calibration is implemented to calibrate the fan operating temperature time series data under each environmental condition, and to ensure that the final temperature data reflects the actual working state of the fan. In the specific implementation, the formula is used for temperature correction. The calculation process includes multiplying or adding the original temperature data with the corresponding compensation factor to form the calibrated temperature data, and finally the actual operating temperature calibration data of the dry variable cooling fan is obtained.

[0072] S2: Application service automatic start-stop wiring control module, used to perform automatic start-stop control response analysis on the dry-type variable cooling fan application service based on the actual operating temperature calibration data of the dry-type variable cooling fan and the mechanical transformer vibration data of the dry-type variable cooling fan, so as to generate the automatic start-stop control instruction of the dry-type variable cooling fan; the automatic start-stop control instruction of the dry-type variable cooling fan is applied to the independent trolley to perform the automatic start-stop wiring control of the fan, so as to generate the automatic start-stop wiring control process of the dry-type variable cooling fan;

[0073] In an embodiment of the present invention, by combining the actual operating temperature calibration data of the dry variable cooling fan that has been calibrated before and the mechanical transformer vibration data of the dry variable cooling fan obtained by real-time monitoring, the operating load of the application service is statistically analyzed, and the data collected by the temperature sensor and the vibration sensor during the actual operation of the dry variable cooling fan are obtained to analyze and judge the stability of the operating load state of the dry variable cooling fan. On this basis, the load change of the dry variable cooling fan is calculated by combining the temperature and vibration data, and the frequency domain conversion is performed on the application service operating load change data previously obtained through the operating load analysis by using frequency domain analysis methods such as Fourier transform (FFT) to convert the load change data in the time domain into a frequency domain change signal. This conversion process is mainly to slice the collected load change signal (temperature, vibration and other data) on the time axis and convert it into frequency spectrum data through the fast Fourier transform algorithm. Through frequency domain conversion, the distribution of load changes at different frequencies can be revealed, thereby helping to identify which frequency bands have abnormal load fluctuations. At the same time, by using change pattern recognition technology to identify and analyze the change pattern of the operating load change spectrum generated by the previous conversion, based on multiple patterns Identification algorithms, such as K-means clustering and support vector machines (SVM), are used to classify and identify frequency band fluctuations in the spectrum. In this process, the characteristic data of each frequency band is first determined and decomposed into multiple frequency bands. The load fluctuation changes of each frequency band are tracked and identified by introducing a pattern recognition algorithm. The load change trend of the fan is automatically identified, and the fluctuation change patterns of the operating load frequency bands are compared and analyzed. First, preset safety thresholds are set. These thresholds can be set according to the design parameters, historical operating data and industry standards of the fan as a benchmark for judging whether the load is normal. The process is mainly divided into two situations: First, if the operating load fluctuation changes on each specific frequency band gradually increase but do not exceed the safety threshold, it is considered that the load change of the fan is within the safety range and there is no abnormality, then a start control signal is automatically issued to perform fan start control management, thereby responding to the generation of a dry variable cooling fan start control instruction; second, if the operating load fluctuation changes gradually increase on at least one frequency band and exceeds the safety threshold, it is considered that the fan load change is abnormal and may cause a fault, then a stop control instruction is generated, and a control response to stop the fan is implemented, thereby responding to the generation of a dry variable cooling fan stop control instruction.Then, after obtaining the start control command and stop control command of the dry variable cooling fan, the automatic control system acts on the independent trolley to perform wiring control of the fan start and stop. During this operation, the independent trolley undertakes the start and stop control task of the fan. Specifically, each independent trolley is equipped with an electrical control module connected to the fan. After receiving the start or stop control command from the dry variable cooling fan, the module controls the power supply of the fan to be connected or disconnected, thereby realizing the automatic start and stop operation of the fan. For the start command, the system sends a signal to the independent trolley through a control platform such as a PLC (programmable logic controller) or a DCS (distributed control system), instructing the trolley to complete the operation of connecting the fan power supply; for the stop command, a stop signal is also sent through the control platform to instruct the trolley to disconnect the power supply to ensure that the fan stops running. The whole process is automated, accurate and efficient. Through real-time command response and wiring control, it is ensured that the fan operates within the load safety range. At the same time, it can also be shut down in time when the load is abnormal, so as to maximize the safety and operation stability of the equipment, and finally record and generate the automatic start and stop wiring control process of the dry variable cooling fan.

[0074] S3: Wiring on-off abnormality detection module, used for online monitoring of the wiring status between the dry-type variable cooling fan wiring module and the independent trolley in the automatic start-stop wiring control process of the dry-type variable cooling fan, so as to obtain the online parameter set of the dry-type variable cooling fan start-stop wiring control; based on the online parameter set of the dry-type variable cooling fan start-stop wiring control, the wiring on-off abnormality detection is performed on the automatic start-stop wiring control process of the dry-type variable cooling fan, and the on-off abnormality of the dry-type variable cooling fan start-stop wiring is obtained;

[0075] In an embodiment of the present invention, during the process of automatic start and stop wiring control of the dry-type variable cooling fan, the connection status between the dry-type variable cooling fan wiring module and the independent trolley is monitored online for current. This process uses a current sensor, such as a Hall effect sensor, to accurately measure the current flowing through the wiring module. The monitoring system is started to set a suitable sampling frequency (for example, 100 samples per second). The sensor will collect online current parameters in real time, and after completing the current monitoring, the connection status between the dry-type variable cooling fan wiring module and the independent trolley is monitored online for voltage. A voltage sensor, such as a voltage divider circuit, can be used to convert the main voltage into a lower safety voltage for measurement. Ensure that the connection between the sensor and the data acquisition system is correct, set a suitable sampling rate (for example, record the voltage value 50 times per second), and after the monitoring process starts, continuously track and record the online voltage parameters. At the same time, merge and organize the online current parameters and online voltage parameters obtained from the previous online monitoring, and use data processing software such as MATLAB or Python for data processing to align the time series data of current and voltage to ensure the consistency of timestamps. Merge the current and voltage data through an algorithm to form an online parameter set, which includes the current current value, voltage value and its time stamp, so as to obtain the online parameter set for the start and stop wiring control of the dry variable cooling fan. Then, by combining the previously merged online parameter set of the dry-type variable cooling fan start-stop wiring control, the corresponding dry-type variable cooling fan automatic start-stop wiring control process is subjected to abnormal detection of the wiring on-off state, so as to design an abnormality detection algorithm. First, the threshold range of normal current and voltage is set (for example, the current is lower than 1A or higher than 10A, and the voltage is lower than 198V or higher than 242V, which is abnormal), and the real-time data stream is analyzed to monitor whether the current and voltage exceed the set threshold. Once an abnormal signal is detected, the time and parameters of the abnormality will be automatically recorded, and the relevant operators will be notified through the alarm system. This detection process ensures the operational safety of the dry-type variable cooling fan, can promptly discover and handle potential wiring faults, avoid equipment damage or operation interruption, and finally obtain the abnormal on-off state of the start-stop wiring of the dry-type variable cooling fan.

[0076] S4: Wiring on / off abnormal warning debugging management module, used for intelligent warning debugging management of dry-type variable cooling fan start / stop wiring on / off abnormality, generating dry-type variable cooling fan wiring abnormality debugging management strategy to execute corresponding dry-type variable cooling fan start / stop wiring abnormality debugging management operations.

[0077] In an embodiment of the present invention, an intelligent early warning response is performed on the abnormal on / off of the start / stop wiring of the dry-type variable cooling fan previously monitored, and a corresponding abnormal early warning response signal is generated by the early warning response. This signal will be transmitted to the central control system in real time through the Internet of Things communication module (such as LoRa or NB-IoT), and the early warning response signal of the abnormal start / stop wiring of the dry-type variable cooling fan generated by the previous response is uploaded from the central control system to the online management platform. The online management platform has a built-in fault diagnosis and debugging control module, which is responsible for in-depth analysis and processing of wiring abnormalities. The technicians can intuitively determine the cause of the fault. The online management platform will generate corresponding abnormal debugging control instructions according to the specific type of the early warning signal, including but not limited to fan shutdown, alarm prompts and automatic restart instructions, and then, by combining the previously generated control The abnormal debugging control instructions for start-stop wiring are used for abnormal early warning debugging management to analyze the current operating status and abnormal characteristics of the fan, and formulate targeted abnormal debugging management strategies based on historical fault data. This strategy will clarify the debugging operations that need to be performed, including equipment maintenance, wiring inspection, and parameter adjustment. Specific measures, during the implementation process, the online management platform will dispatch professional tools such as infrared thermometers, multimeters, etc. for on-site testing to ensure the accuracy and effectiveness of the debugging measures. In addition, the platform will record all debugging processes and results for subsequent analysis and improvement. This series of measures aims to ensure the safe and stable operation of the dry variable cooling fan and reduce system failures caused by abnormal wiring, thereby formulating corresponding dry variable cooling fan wiring abnormal debugging management strategies to perform the corresponding dry variable cooling fan start-stop wiring abnormal debugging management operations.

[0078] Further, as an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 The function flow diagram of the wind turbine data monitoring and analysis module is as follows. In this embodiment, the functions of the wind turbine data monitoring and analysis module include:

[0079] S11: Acquire the operating temperature data of the dry-type variable-speed cooling fan, the ambient temperature and humidity data of the dry-type variable-speed cooling fan, and the mechanical transformer vibration data of the dry-type variable-speed cooling fan;

[0080] In an embodiment of the present invention, a real-time monitoring system is built to collect the operating temperature of the dry variable cooling fan through sensors installed on the dry variable cooling fan. These sensors may be thermocouples or thermistors, which are responsible for measuring the temperature of the fan under different working conditions. At the same time, ambient temperature and humidity data may be obtained through environmental monitoring sensors. These sensors should be installed in the same environment as the fan to ensure the accuracy and consistency of the data, while mechanical transformer vibration data is obtained through vibration sensors, usually accelerometers or velocity sensors, which can monitor the vibrations generated during the operation of the fan. The above three types of data will be transmitted to the central control system in real time through the real-time monitoring system, and finally the operating temperature data of the dry variable cooling fan, the ambient temperature and humidity data of the dry variable cooling fan, and the mechanical transformer vibration data of the dry variable cooling fan are obtained.

[0081] S12: performing time series synchronization processing on the dry variable cooling fan operating temperature data and the dry variable cooling fan ambient temperature and humidity data to obtain the fan operating temperature time series data and the fan ambient temperature and humidity time series data in the same time series dimension;

[0082] In an embodiment of the present invention, the operating temperature data of the dry variable cooling fan and the ambient temperature and humidity data of the dry variable cooling fan obtained by previous real-time monitoring are synchronously processed in time series, and each data point in the operating temperature and ambient temperature and humidity data is marked with a timestamp and its corresponding acquisition time. Then, the data is supplemented by an interpolation algorithm (such as linear interpolation or spline interpolation) to eliminate the time difference caused by inconsistent sensor acquisition frequencies, and a unified time series format is used to finally obtain the fan operating temperature time series data and the fan ambient temperature and humidity time series data in the same time series dimension.

[0083] S13: Designing environmental temperature and humidity conditions for the fan environmental temperature and humidity time series data to generate different dry variable cooling fan environmental temperature and humidity operating conditions, wherein the dry variable cooling fan environmental temperature and humidity operating conditions include high temperature and high humidity environmental operating conditions, high temperature and low humidity environmental operating conditions, low temperature and high humidity environmental operating conditions, and low temperature and low humidity environmental operating conditions;

[0084] In an embodiment of the present invention, environmental conditions are designed based on the time series data of the fan environment temperature and humidity after synchronization, and historical data are clustered and analyzed using a statistical analysis-based method to determine different environmental operating conditions. Through analysis, four different environmental operating conditions, namely, high temperature and high humidity, high temperature and low humidity, low temperature and high humidity, and low temperature and low humidity, are generated. In this process, a specific parameter range (such as temperature range and humidity range) is set for each environmental condition, and corresponding environmental parameters are generated through climate simulation software or laboratory equipment for use in the test of the operating temperature compensation impact of the dry variable cooling fan. Finally, different dry variable cooling fan environmental temperature and humidity operating conditions are designed and generated, including high temperature and high humidity environmental operating conditions, high temperature and low humidity environmental operating conditions, low temperature and high humidity environmental operating conditions, and low temperature and low humidity environmental operating conditions.

[0085] S14: Based on different ambient temperature and humidity operating conditions of the dry variable cooling fan, the operating temperature environment compensation impact evaluation is performed on the fan operating temperature time series data to obtain the corresponding dry variable cooling fan operating temperature compensation factor under different ambient temperature and humidity operating conditions;

[0086] In an embodiment of the present invention, the environmental compensation impact evaluation calculation is performed on the corresponding fan operating temperature timing data obtained after timing synchronization by combining the previously designed dry variable cooling fan ambient temperature and humidity operating conditions, so as to analyze the fan operating temperature timing data by establishing a mathematical model and combining the four designed environmental conditions. The regression analysis method can be used to evaluate the changing trend of the operating temperature under different environmental conditions, and calculate the corresponding temperature compensation factors. These factors can characterize the degree of influence of different environmental conditions on the fan operating temperature, and finally obtain the corresponding dry variable cooling fan operating temperature compensation factors under different ambient temperature and humidity operating conditions.

[0087] S15: Based on the corresponding dry variable cooling fan operating temperature compensation factor under different ambient temperature and humidity operating conditions, the corresponding fan operating temperature time series data is calibrated for actual operating temperature compensation to obtain the dry variable cooling fan actual operating temperature calibration data.

[0088] In an embodiment of the present invention, after obtaining the corresponding dry variable cooling fan operating temperature compensation factor under different ambient temperature and humidity operating conditions, a compensation calibration of the actual operating temperature is implemented, so as to calibrate the fan operating temperature timing data under each environmental condition by applying the compensation factor to ensure that the temperature data finally obtained reflects the actual working state of the fan. In the specific implementation, the formula is used for temperature correction, and the calculation process includes multiplying or adding the original temperature data with the corresponding compensation factor to form the calibrated temperature data. Through this method, the actual operating temperature calibration data of the dry variable cooling fan under different environmental conditions can be obtained, and finally the actual operating temperature calibration data of the dry variable cooling fan can be obtained.

[0089] Furthermore, the evaluation of the impact of operating temperature environment compensation on the fan operating temperature time series data based on different dry variable cooling fan ambient temperature and humidity operating conditions includes:

[0090] When it is determined that the ambient temperature and humidity operating condition of the dry variable cooling fan is a high temperature and high humidity ambient operating condition, the fan operating temperature time series data is synchronously divided into operating time periods based on the high temperature and high humidity ambient operating condition to obtain the corresponding fan operating temperature time series segmentation under the high temperature and high humidity ambient operating condition;

[0091] In an embodiment of the present invention, when it is determined that the environmental conditions of the dry variable cooling fan are high temperature and high humidity, it is necessary to collect the corresponding operating temperature time series data of the fan under this environmental operating period, and by using a data acquisition system, record the operating temperature time series change data of the fan in real time. In the division process, the high temperature and high humidity operating period needs to be considered, and the operating time period range of the dry variable cooling fan under the high temperature and high humidity operating conditions is identified, and the operating temperature data under the corresponding time period range is synchronously divided. At this time, the moving window technology can be applied to extract the fan operating status under high temperature and high humidity conditions, and finally obtain the corresponding fan operating temperature time series segmentation under the high temperature and high humidity environmental operating conditions.

[0092] Preferably, the high temperature and high humidity operating temperature compensation impact evaluation calculation is performed on the corresponding fan operating temperature time sequence under the high temperature and high humidity environment operating conditions, and the corresponding dry variable cooling fan operating temperature compensation factor under the high temperature and high humidity environment operating conditions is obtained;

[0093] In an embodiment of the present invention, a time series analysis method is used to perform a statistical analysis of the time series changes of the operating temperature of the fan corresponding to the operating condition of the high temperature and high humidity environment obtained by dividing the time range of the high temperature and high humidity environment previously, so as to use a data analysis tool (such as MATLAB or Python's Pandas library) to segment the time series data, and analyze the temperature change of each time period respectively to form a temperature time series change trend curve, and obtain the environmental temperature and humidity change data corresponding to the dry variable cooling fan in the corresponding high temperature and high humidity environment time range to perform a statistical analysis of the change amplitude, so as to use a statistical analysis tool (such as R language or Python) to perform a statistical analysis of the temperature change trend curve. The SciPy library of the software (http: / / www.scipy.com / ) is used to calculate the variation range of temperature and humidity, which includes calculating the difference between the highest and lowest values ​​of the ambient temperature and the difference between the highest and lowest values ​​of the ambient humidity. At the same time, the high temperature variation range and the high humidity variation range obtained by the above statistical analysis are used to quantify the variation gradient, so as to take the corresponding temperature and humidity variation range as the basic data, and on this basis, the formula is used to divide the ambient temperature variation range by the time interval (such as hours) to obtain the high temperature variation gradient; similarly, the humidity variation range is divided by the same time interval to obtain the high humidity variation gradient, and a suitable operating temperature compensation influence calculation formula is formed by combining the high temperature variation gradient, the high humidity variation gradient and related parameters to perform temperature compensation influence evaluation calculation on the corresponding operating temperature time series variation trend curve, so as to quantitatively determine the operating temperature compensation influence factor required by the fan in the high temperature and high humidity environment, and finally obtain the corresponding dry variable cooling fan operating temperature compensation factor under the high temperature and high humidity environment operating conditions.

[0094] Preferably, similarly, based on the remaining high temperature and low humidity environment operating conditions, low temperature and high humidity environment operating conditions, and low temperature and low humidity environment operating conditions, the operating temperature compensation impact evaluation calculation is performed on the corresponding fan operating temperature time series data to obtain the corresponding dry variable cooling fan operating temperature compensation factors under the high temperature and low humidity environment operating conditions, the low temperature and high humidity environment operating conditions, and the low temperature and low humidity environment operating conditions;

[0095] In an embodiment of the present invention, similarly, after the compensation factor for the high temperature and high humidity environment is calculated, the temperature compensation impact evaluation calculation is performed on other environmental conditions in turn, and the same temperature time series data collection and synchronous division are performed for the high temperature and low humidity, low temperature and high humidity, and low temperature and low humidity environments respectively. Through the above method, the temperature and humidity data under each environmental condition are input into the established compensation calculation formula for systematic analysis. Under each environmental condition, a data processing tool is used to perform linear or nonlinear regression analysis on each set of data to obtain the corresponding temperature compensation factor, and finally the corresponding dry variable cooling fan operating temperature compensation factor under the high temperature and low humidity environment operating conditions, the low temperature and high humidity environment operating conditions, and the low temperature and low humidity environment operating conditions is obtained.

[0096] Preferably, the dry variable cooling fan operating temperature compensation factors corresponding to the high temperature and high humidity environment operating conditions, the high temperature and low humidity environment operating conditions, the low temperature and high humidity environment operating conditions, and the low temperature and low humidity environment operating conditions are merged to obtain the dry variable cooling fan operating temperature compensation factors corresponding to the operating conditions of different ambient temperature and humidity.

[0097] In an embodiment of the present invention, after respectively calculating the temperature compensation factors under four environmental conditions, the compensation factors are merged. This step requires normalizing the compensation factors under each environmental condition to eliminate the dimensional differences between the factors and ensure the comparability of the data. The normalized compensation factors are summarized into the same data set to finally obtain the corresponding dry variable cooling fan operating temperature compensation factors under different environmental temperature and humidity operating conditions.

[0098] Furthermore, the high temperature and high humidity operating temperature compensation impact evaluation calculation of the fan operating temperature time sequence segment corresponding to the high temperature and high humidity operating conditions includes the following steps:

[0099] The fan operating temperature timing corresponding to the high temperature and high humidity environment operating conditions is segmented and analyzed for the operating temperature timing change, and the fan operating temperature timing change trend curve corresponding to the high temperature and high humidity environment operating conditions is obtained;

[0100] In an embodiment of the present invention, a time series analysis method is used to perform statistical analysis on the time series changes of the operating temperature of the fan corresponding to the operating conditions in the high temperature and high humidity environment obtained by dividing the time range of the high temperature and high humidity environment previously, so as to use a data analysis tool (such as MATLAB or Python's Pandas library) to segment the time series data, and analyze the temperature changes in each time period respectively, to form a temperature time series change trend curve, which reflects the law of the operating temperature change of the fan in the high temperature and high humidity environment, and finally obtains the corresponding fan operating temperature time series change trend curve under the high temperature and high humidity environment operating conditions.

[0101] Preferably, the ambient temperature and humidity change data corresponding to the dry variable cooling fan under the operating conditions of the high temperature and high humidity environment are obtained, and the ambient temperature and humidity change data corresponding to the dry variable cooling fan under the operating conditions of the high temperature and high humidity environment are statistically analyzed to obtain the high temperature change range of the dry variable cooling fan and the high humidity change range of the dry variable cooling fan;

[0102] In an embodiment of the present invention, by obtaining ambient temperature and humidity change data corresponding to a dry variable cooling fan under high temperature and high humidity environment operating conditions within a corresponding high temperature and high humidity environment time range, and by performing a statistical analysis of the change amplitude of the ambient temperature and humidity change data corresponding to the dry variable cooling fan under high temperature and high humidity environment operating conditions obtained previously, the temperature and humidity change amplitude is calculated by using a statistical analysis tool (such as R language or Python's SciPy library), which includes calculating the difference between the highest and lowest values ​​of the ambient temperature and the difference between the highest and lowest values ​​of the ambient humidity, thereby obtaining the change amplitude data of the dry variable cooling fan under high temperature and high humidity conditions, and finally obtaining the high temperature change amplitude of the dry variable cooling fan and the high humidity change amplitude of the dry variable cooling fan.

[0103] Preferably, the temperature and humidity change gradients are quantitatively calculated for the high temperature change amplitude of the dry variable cooling fan and the high humidity change amplitude of the dry variable cooling fan, respectively, to obtain the high temperature change gradient of the dry variable cooling fan and the high humidity change gradient of the dry variable cooling fan;

[0104] In an embodiment of the present invention, the high temperature change amplitude of the dry variable cooling fan and the high humidity change amplitude of the dry variable cooling fan obtained by the above statistical analysis are used to perform quantitative calculation of the change gradient, so as to take the corresponding temperature and humidity change amplitude as basic data, and on this basis, the temperature change gradient and the humidity change gradient are calculated by using formulas. In specific operations, the temperature change gradient is obtained by dividing the ambient temperature change amplitude by the time interval (such as hours); similarly, the humidity change amplitude is divided by the same time interval to obtain the humidity change gradient. This calculation can be implemented using Excel or a programming language (such as Python) to facilitate processing of large amounts of data, and finally the high temperature change gradient of the dry variable cooling fan and the high humidity change gradient of the dry variable cooling fan are quantitatively calculated.

[0105] Preferably, based on the high temperature change gradient of the dry variable cooling fan and the high humidity change gradient of the dry variable cooling fan, the operating temperature compensation influence calculation formula is used to perform a temperature compensation influence evaluation calculation on the corresponding fan operating temperature timing change trend curve under the high temperature and high humidity environment operating conditions, and the corresponding dry variable cooling fan operating temperature compensation factor under the high temperature and high humidity environment operating conditions is obtained.

[0106] In an embodiment of the present invention, a suitable operating temperature compensation influence calculation formula is formed by combining the time variable parameters of the high temperature and high humidity environment operating conditions, the fan operating temperature change value, the fan operating temperature reference value, the fan operating humidity change value, the fan operating humidity reference value, the interaction coefficient between the fan operating temperature and humidity, the dry variable cooling fan high temperature change gradient, the ambient temperature change gradient weight coefficient, the fan environment high temperature change value, the dry variable cooling fan high humidity change gradient, the ambient humidity change gradient weight coefficient, the fan environment high humidity change value and related parameters to perform a temperature compensation influence evaluation calculation on the corresponding fan operating temperature timing change trend curve under the high temperature and high humidity environment operating conditions, so as to quantitatively determine the operating temperature compensation influence factor required for the fan under the high temperature and high humidity environment, and finally obtain the corresponding dry variable cooling fan operating temperature compensation factor under the high temperature and high humidity environment operating conditions.

[0107] Furthermore, the operating temperature compensation influence calculation formula is specifically as follows:

[0108]

[0109] In the formula, is the operating temperature compensation factor of the dry variable cooling fan corresponding to the operating conditions of high temperature and high humidity environment, The start time of operation under high temperature and high humidity environment conditions. The end time of operation under high temperature and high humidity environment conditions. is the integral time variable parameter, For high temperature and high humidity operating conditions at time The fan operating temperature change value at It is the reference value of fan operating temperature under high temperature and high humidity environment. For high temperature and high humidity operating conditions at time The fan operating humidity change value at It is the reference value of fan operating humidity under high temperature and high humidity environment. is the interaction coefficient between fan operating temperature and humidity, It is the high temperature gradient of the dry variable cooling fan. is the weight coefficient of the ambient temperature change gradient, For high temperature and high humidity operating conditions at time The fan environment high temperature change value at For high temperature and high humidity operating conditions at time The fan environment high temperature change value at It is the high humidity gradient of dry variable cooling fan. is the weight coefficient of the environmental humidity change gradient, For high temperature and high humidity operating conditions at time The high humidity change value of the fan environment at For high temperature and high humidity operating conditions at time The high humidity change value of the fan environment at It is the correction factor of the operating temperature compensation factor of the dry variable cooling fan.

[0110] The present invention obtains an operating temperature compensation influence calculation formula by using a specific mathematical model and after verification, which is used to evaluate and calculate the temperature compensation influence of the corresponding fan operating temperature time series change trend curve under the operating conditions of high temperature and high humidity environment. The operating temperature compensation influence calculation formula can more deeply understand the influence of environmental factors on the performance of the fan through the gradient quantification calculation of the high temperature change amplitude and the high humidity change amplitude, so that the specific influence strength can be considered during design and adjustment. The compensation factor calculated by this formula comprehensively considers the changes in ambient temperature and humidity through the integral method, and can more accurately reflect the actual impact of the high temperature and high humidity environment on the fan, which enables the operating temperature of the fan to be dynamically adjusted according to environmental changes, thereby improving the working efficiency of the fan. Secondly, by introducing the interaction influence coefficient, it plays the role of connecting temperature and humidity in the calculation formula, reflecting the interaction between them, and enabling the fan to better cope with complex environmental changes in actual operation. By setting the weight coefficients of ambient temperature and humidity changes, the model can be adjusted according to actual working conditions, so that the calculation of the compensation factor is more adaptable. In addition, the introduction of the correction coefficient can provide additional adjustment space for the final temperature compensation result, which can be corrected according to the actual test data, thereby ensuring that the temperature compensation strategy of the fan can be effectively implemented under different operating conditions. In summary, this formula fully considers the corresponding dry variable cooling fan operating temperature compensation factor under high temperature and high humidity environment operating conditions. Operation start time for high temperature and high humidity environment operation conditions , the end time of operation under high temperature and high humidity environment operation conditions , integral time variable parameter , high temperature and high humidity operating conditions in the time Fan operating temperature change value at , the fan operating temperature benchmark value under high temperature and high humidity operating conditions , high temperature and high humidity operating conditions in the time Fan operating humidity change value at , the fan operating humidity benchmark value under high temperature and high humidity operating conditions , the interaction coefficient between fan operating temperature and humidity , dry variable cooling fan high temperature gradient , weight coefficient of ambient temperature change gradient , high temperature and high humidity operating conditions in the time The fan environment high temperature change value at , high temperature and high humidity operating conditions in the time The fan environment high temperature change value at , dry variable cooling fan high humidity gradient , weight coefficient of environmental humidity change gradient , high temperature and high humidity operating conditions in the time The fan environment high humidity change value at , high temperature and high humidity operating conditions in the time The fan environment high humidity change value at , Correction coefficient of the operating temperature compensation factor of the dry variable cooling fan , where the operation start time point is combined with the high temperature and high humidity environment operation conditions , the end time of operation under high temperature and high humidity environment operation conditions , high temperature and high humidity operating conditions in the time The fan environment high temperature change value at And high temperature and high humidity operating conditions in time The fan environment high temperature change value at It constitutes a dry variable cooling fan high temperature gradient Functional relationship , and also by combining the operation start time point of the high temperature and high humidity environment operation conditions , the end time of operation under high temperature and high humidity environment operation conditions , high temperature and high humidity operating conditions in the time The fan environment high humidity change value at And high temperature and high humidity operating conditions in time The fan environment high humidity change value at It constitutes a dry variable cooling fan high humidity gradient Functional relationship , according to the corresponding dry variable cooling fan operating temperature compensation factor under high temperature and high humidity operating conditions The correlation between the above parameters constitutes a functional relationship This formula can realize the temperature compensation impact evaluation calculation process of the fan operating temperature time series change trend curve corresponding to the high temperature and high humidity environment operating conditions. At the same time, the correction coefficient of the dry variable cooling fan operating temperature compensation factor is The introduction of can be adjusted according to the error conditions that occur in the calculation process, thereby improving the accuracy and applicability of the calculation formula affected by operating temperature compensation.

[0111] Further, as an embodiment of the present invention, refer to Figure 3 As shown, Figure 1 The function flow diagram of the automatic start and stop wiring control module of the application service in this embodiment includes:

[0112] S21: performing application operation load analysis on the dry variable cooling fan application service based on the actual operation temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan to obtain operation load change data of the dry variable cooling fan application service;

[0113] In an embodiment of the present invention, a statistical analysis of the operating load of an application service is performed by combining the actual operating temperature calibration data of a previously calibrated dry-type variable cooling fan and the mechanical transformer vibration data of a dry-type variable cooling fan obtained by real-time monitoring. The data collected by the temperature sensor and the vibration sensor during the actual operation of the dry-type variable cooling fan are obtained to analyze and judge the stability of the operating load state of the dry-type variable cooling fan. On this basis, the load change of the dry-type variable cooling fan is calculated in combination with the temperature and vibration data. Through a comprehensive analysis of the load data, the load fluctuation of the fan under different working conditions can be obtained, from which potential abnormal operating load behaviors can be identified, and finally the operating load change data of the dry-type variable cooling fan application service is obtained.

[0114] S22: performing operation load change frequency domain conversion on the operation load change data of the dry variable cooling fan application service to generate an operation load change spectrum of the dry variable cooling fan;

[0115] In an embodiment of the present invention, a frequency domain analysis method such as Fourier transform (FFT) is used to perform frequency domain conversion on the dry variable cooling fan application service operation load change data previously obtained through operation load analysis, so as to convert the load change data in the time domain into a frequency domain change signal. This conversion process is mainly to slice the collected load change signal (temperature, vibration and other data) on the time axis and convert it into frequency spectrum data through a fast Fourier transform algorithm. Through frequency domain conversion, the distribution of load changes at different frequencies can be revealed, thereby helping to identify which frequency bands have abnormal load fluctuations. In the specific operation process, the real-time collected load data is first preprocessed, such as denoising, filtering, etc., to remove invalid data. Then, the denoised data is frequency-domain converted through an FFT algorithm to obtain a dry variable cooling fan load change spectrum. The spectrum can reflect the frequency characteristics of the fan load, which helps to further identify the root cause of the load fluctuation, and finally converts and generates a dry variable cooling fan operation load change spectrum.

[0116] S23: performing frequency band change pattern recognition analysis on the dry variable cooling fan operating load change spectrum to obtain the dry variable cooling fan operating load frequency band fluctuation change pattern;

[0117] In an embodiment of the present invention, a frequency band change pattern recognition technology is used to identify and analyze the change pattern of the dry variable cooling fan operating load change spectrum previously converted and generated, so as to classify and identify the frequency band fluctuations in the spectrum based on multiple pattern recognition algorithms, such as K-means clustering, support vector machine (SVM), etc. In this process, the characteristic data of each frequency band is first determined and decomposed into multiple frequency bands, and the load fluctuation changes of each frequency band are tracked and identified by introducing a pattern recognition algorithm. For example, during the monitoring process, if the load fluctuation of the frequency band gradually increases and the fluctuation frequency exceeds the safety threshold, the machine learning algorithm can be used to predict that the frequency band may enter a high load area, indicating that there is a problem with the operation of the fan, otherwise it enters the corresponding low load area. The pattern recognition technology can automatically identify the operating load change trend of the fan and determine whether it conforms to the normal operating mode, and finally analyze and generate the dry variable cooling fan operating load band fluctuation change pattern.

[0118] S24: Compare and judge the fluctuation change patterns of the operating load frequency bands of the dry variable cooling fans. When the fluctuation change patterns of the operating load frequency bands of the several variable cooling fans are that the fluctuation change of the operating load in each specific frequency band gradually increases and none of them exceeds the preset safety threshold, the corresponding dry variable cooling fan application service is started to respond to the fan control to generate a dry variable cooling fan start control instruction; when the fluctuation change patterns of the operating load frequency bands of the several variable cooling fans are that the fluctuation change of the operating load in each specific frequency band gradually increases and at least one exceeds the preset safety threshold, the corresponding dry variable cooling fan application service is stopped to respond to the fan control to generate a dry variable cooling fan stop control instruction;

[0119] In an embodiment of the present invention, by comparing and analyzing the fluctuation change patterns of the frequency bands of the operating load of the dry variable cooling fan, first, preset safety thresholds are set. These thresholds can be set according to the design parameters of the fan, historical operating data and industry standards, as a benchmark for judging whether the load is normal. The comparison process is mainly divided into two situations: First, if the operating load fluctuation changes in each specific frequency band gradually increase, but do not exceed the safety threshold, it is considered that the load change of the fan is within a safe range and there is no abnormality, then a start control signal is automatically issued to perform fan start control management, thereby responding to generate a dry variable cooling fan start control instruction; second, if the operating load fluctuation changes in at least one frequency band gradually increase and exceed the safety threshold, it is considered that the fan load change is abnormal and may cause a fault, then a stop control instruction is generated, and a control response to stop the fan is implemented, and finally a dry variable cooling fan stop control instruction is generated in response.

[0120] S25: Apply the dry-type variable cooling fan start control command and the dry-type variable cooling fan stop control command to the independent trolley respectively to perform fan automatic start and stop wiring control to generate a dry-type variable cooling fan automatic start and stop wiring control process.

[0121] In an embodiment of the present invention, after obtaining the start control instruction and the stop control instruction of the dry variable cooling fan, the automatic control system acts on the independent trolley to perform wiring control of the start and stop of the fan. During this operation, the independent trolley undertakes the start and stop control task of the fan. Specifically, each independent trolley is equipped with an electrical control module connected to the fan. After receiving the start or stop control instruction from the dry variable cooling fan, the module controls the power supply of the fan to be connected or disconnected, thereby realizing the automatic start and stop operation of the fan. For the start instruction, the system sends a signal to the independent trolley through a control platform such as a PLC (programmable logic controller) or a DCS (distributed control system), instructing the trolley to complete the operation of connecting the fan power supply; for the stop instruction, a stop signal is also sent through the control platform to instruct the trolley to disconnect the power supply to ensure that the fan stops running. The whole process is automated, accurate and efficient. Through real-time instruction response and wiring control, it is ensured that the fan operates within the load safety range. At the same time, it can also perform a shutdown operation in time when the load is abnormal, so as to maximize the safety and operation stability of the equipment, and finally record and generate the automatic start and stop wiring control process of the dry variable cooling fan.

[0122] Further, the application operation load analysis of the dry variable cooling fan application service based on the actual operation temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan includes:

[0123] Perform mechanical operation vibration characteristic analysis on the mechanical transformer vibration data of the dry-type variable speed cooling fan to obtain mechanical operation vibration characteristic data of the dry-type variable speed cooling fan;

[0124] In an embodiment of the present invention, the mechanical transformer vibration data of the dry-type variable cooling fan previously obtained by real-time monitoring is comprehensively collected and analyzed, and the collected vibration data is preprocessed, including denoising, data normalization, etc., and frequency domain features are extracted using signal processing techniques such as fast Fourier transform (FFT). The mechanical vibration characteristics are extracted by applying frequency domain analysis (such as FFT transformation) and time domain analysis (such as root mean square value, peak value, etc.) methods to obtain vibration characteristic data including vibration amplitude, frequency characteristics, harmonic components, etc. Through these characteristics, the operating status of the fan can be identified, including normal operation, minor faults and serious faults, and finally the mechanical operation vibration characteristic data of the dry-type variable cooling fan is obtained.

[0125] Preferably, based on the actual operating temperature calibration data of the dry variable cooling fan, the operating vibration characteristic correlation analysis is performed on the mechanical operating vibration characteristic data of the dry variable cooling fan to obtain the dynamic correlation relationship between the operating temperature change of the dry variable cooling fan and the mechanical vibration characteristic;

[0126] In an embodiment of the present invention, by combining the actual operating temperature calibration data of the dry variable cooling fan obtained after previous calibration, the corresponding mechanical operation vibration characteristic data of the dry variable cooling fan is subjected to a correlation analysis between the vibration characteristics and the actual operating temperature, so as to obtain the temperature data of the dry variable cooling fan during the actual operation process. These data can be monitored in real time by a temperature sensor, and each temperature point during the operation is recorded. Statistical analysis tools (such as correlation analysis or regression analysis) are used to match the temperature data with the mechanical vibration characteristic data, and the temperature change data and the vibration characteristic data are subjected to time series analysis to identify the dynamic correlation relationship between them. By statistically analyzing the correlation coefficient between the temperature change and the vibration amplitude, it can be found whether there is an obvious change trend in the vibration amplitude when the operating temperature increases, and then the relationship characteristics between them are clarified, and finally the dynamic correlation relationship between the operating temperature change of the dry variable cooling fan and the mechanical vibration characteristics is obtained.

[0127] Preferably, based on the dynamic correlation between the operating temperature change and mechanical vibration characteristics of the dry variable cooling fan, the actual operating temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan are evaluated and analyzed to obtain the operating state load influence factor of the dry variable cooling fan;

[0128] In an embodiment of the present invention, the dynamic correlation between the operating temperature change and mechanical vibration characteristics of the dry variable cooling fan obtained by previous mining and analysis is combined to perform an operating load impact assessment analysis on the corresponding actual operating temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan, so as to combine the data of temperature change and mechanical vibration characteristics to construct a multivariate linear regression model or a machine learning model to evaluate the performance of the fan under different load conditions, and by analyzing various operating condition data under the operating state, determine the specific influencing factors of temperature change and vibration characteristics on the fan load capacity, thereby quantitatively calculating the load influence factor of the fan under specific temperature conditions, and finally obtaining the load influence factor of the operating state of the dry variable cooling fan.

[0129] Preferably, based on the load influencing factor of the dry variable cooling fan operation state, an application operation load analysis is performed on the dry variable cooling fan application service to obtain the dry variable cooling fan application service operation load change data.

[0130] In an embodiment of the present invention, a statistical analysis of the operating load of the application service of the dry variable cooling fan is performed by combining the load influence factor of the dry variable cooling fan operating state obtained by the previous impact assessment analysis, so as to collect the operating load data of the fan in specific application scenarios (such as changes in cooling demand, external ambient temperature fluctuations, etc.), and use data analysis tools (such as data visualization software) to conduct in-depth analysis of these data. In this process, the load influence factor is compared with the actual operating load to evaluate the load changes of the fan under different operating conditions, so as to clearly show the fluctuation trend of the fan operating load and its impact on the operating efficiency under different temperature and vibration characteristic conditions, and finally obtain the operating load change data of the dry variable cooling fan application service.

[0131] Furthermore, the wiring on-off abnormality detection module includes the following functions:

[0132] Conduct online monitoring of the wiring on-off state current between the dry-type variable temperature cooling fan wiring module and the independent trolley in the automatic start-stop wiring control process of the dry-type variable temperature cooling fan to obtain the online current parameters of the dry-type variable temperature cooling fan start-stop wiring on-off state;

[0133] In an embodiment of the present invention, in the process of automatic start-stop wiring control of the dry-type variable cooling fan, the connection status between the dry-type variable cooling fan wiring module and the independent trolley is monitored online. This process uses a current sensor, such as a Hall effect sensor, to accurately measure the current flowing through the wiring module. Before the monitoring begins, ensure that the sensor is well connected to the data acquisition module, and start the monitoring system to set a suitable sampling frequency (for example, 100 samples per second). The sensor will collect current data in real time, monitor its changes, and analyze whether the current value is within the normal range (for example, 0-10A). This process can provide the current parameters of the start-stop wiring on-off state of the dry-type variable cooling fan, and finally obtain the online current parameters of the start-stop wiring on-off state of the dry-type variable cooling fan.

[0134] Preferably, the voltage of the wiring on-off state between the dry-type variable cooling fan wiring module and the independent trolley in the automatic start-stop wiring control process of the dry-type variable cooling fan is monitored online to obtain the online voltage parameter of the dry-type variable cooling fan start-stop wiring on-off state;

[0135] In an embodiment of the present invention, after completing the current monitoring, the voltage is monitored online on the connection status between the dry-type variable cooling fan wiring module and the independent trolley, so that a voltage sensor, such as a voltage divider circuit, can be used to convert the main voltage into a lower safety voltage for measurement, ensuring that the sensor is correctly connected to the data acquisition system, and setting a suitable sampling rate (for example, recording the voltage value 50 times per second). After the monitoring process starts, the voltage data will be continuously tracked and recorded to ensure that it is within the specified working range (for example, 220V±10%). By analyzing the real-time voltage, the online voltage parameters of the on-off state of the start-stop wiring of the dry-type variable cooling fan can be obtained, and finally the online voltage parameters of the on-off state of the start-stop wiring of the dry-type variable cooling fan can be obtained.

[0136] Preferably, the online current parameter of the on-off state of the dry-type variable cooling fan start-stop wiring and the online voltage parameter of the on-off state of the dry-type variable cooling fan start-stop wiring are combined online to obtain an online parameter set for the control of the start-stop wiring of the dry-type variable cooling fan;

[0137] In an embodiment of the present invention, the online current parameters of the on-off status of the start-stop wiring of the dry-type variable cooling fan and the online voltage parameters of the on-off status of the start-stop wiring of the dry-type variable cooling fan obtained by previous online monitoring are merged and sorted, and data processing is performed by using data processing software such as MATLAB or Python to align the time series data of current and voltage to ensure the consistency of timestamps, and the current and voltage data are merged through an algorithm to form an online parameter set, which includes the current current value, voltage value and its time stamp, and finally the online parameter set of the start-stop wiring control of the dry-type variable cooling fan is obtained.

[0138] Preferably, based on the dry-type variable cooling fan start-stop wiring control online parameter set, the dry-type variable cooling fan automatic start-stop wiring control process is detected for wiring on-off anomaly, and the dry-type variable cooling fan start-stop wiring on-off anomaly is obtained.

[0139] In an embodiment of the present invention, by combining the previously merged online parameter set for the start-stop wiring control of the dry variable cooling fan, the corresponding automatic start-stop wiring control process of the dry variable cooling fan is detected for abnormal wiring on-off status, so as to design an abnormality detection algorithm. First, the threshold range of normal current and voltage is set (for example, the current is lower than 1A or higher than 10A, and the voltage is lower than 198V or higher than 242V, which is abnormal), and the real-time data stream is analyzed to monitor whether the current and voltage exceed the set threshold. Once an abnormal signal is detected, the time and parameters of the abnormality will be automatically recorded, and the relevant operators will be notified through the alarm system. This detection process ensures the operational safety of the dry variable cooling fan, can promptly discover and handle potential wiring faults, avoid equipment damage or operation interruption, and finally obtain the abnormal on-off status of the start-stop wiring of the dry variable cooling fan.

[0140] Further, the wiring on-off abnormality detection of the automatic start-stop wiring control process of the dry-type variable cooling fan based on the online parameter set of the dry-type variable cooling fan start-stop wiring control includes:

[0141] Conduct electrical state waveform analysis on the online current parameters and online voltage parameters in the online parameter set of the start-stop wiring control of the dry-type variable cooling fan, and obtain a current waveform subgraph of the start-stop wiring of the dry-type variable cooling fan and a voltage waveform subgraph of the start-stop wiring of the dry-type variable cooling fan;

[0142] In an embodiment of the present invention, the online current parameters and online voltage parameters corresponding to the online parameter set of the start-stop wiring control of the dry-type variable cooling fan previously obtained by online monitoring are processed by using signal processing software (such as LabVIEW or MATLAB), so as to obtain the current and voltage waveform data of the dry-type variable cooling fan in the start-stop state by using a digital oscilloscope or a data acquisition system. In a specific implementation, the oscilloscope probe is connected to the wiring port of the variable cooling fan to ensure the accurate capture of the current and voltage signals, and the real-time waveforms of the current and voltage during the start-stop process are recorded to generate a current waveform sub-graph and a voltage waveform sub-graph respectively. During the analysis, Fourier transform is applied to perform spectrum analysis on the waveform to identify the various harmonic components in the waveform, so as to have a deeper understanding of the electrical behavior of the equipment under different working conditions, and finally obtain the dry-type variable cooling fan start-stop wiring current waveform sub-graph and the dry-type variable cooling fan start-stop wiring voltage waveform sub-graph.

[0143] Preferably, the wiring on-off state amplitude change analysis is performed on the dry variable cooling fan start-stop wiring current waveform sub-graph and the dry variable cooling fan start-stop wiring voltage waveform sub-graph respectively to obtain the wiring on-off state current fluctuation change amplitude and the wiring on-off state voltage fluctuation change amplitude;

[0144] In an embodiment of the present invention, the amplitude change analysis of the wiring on-off state is performed on the dry-type variable cooling fan start-stop wiring current waveform sub-graph and the dry-type variable cooling fan start-stop wiring voltage waveform sub-graph obtained by previous analysis, so as to calculate the amplitude change of each sampling point by performing digital signal processing on the waveform sub-graph, and identify the maximum and minimum values ​​of the current and voltage when the wiring state is switched by writing an algorithm, and calculate the difference between the two, so as to obtain the current fluctuation change amplitude and the voltage fluctuation change amplitude in the wiring on-off state through statistical analysis, so as to clearly present the fluctuation situation, and finally obtain the current fluctuation change amplitude and the voltage fluctuation change amplitude in the wiring on-off state.

[0145] Preferably, the instantaneous rate of change of current is quantitatively calculated for the start-stop wiring current waveform subgraph of the dry-type variable cooling fan based on the current fluctuation change amplitude of the wiring on-off state, and the instantaneous rate of change of current fluctuation of the wiring on-off state is obtained; the instantaneous rate of change of voltage is quantitatively calculated for the start-stop wiring voltage waveform subgraph of the dry-type variable cooling fan based on the voltage fluctuation change amplitude of the wiring on-off state, and the instantaneous rate of change of voltage fluctuation of the wiring on-off state is obtained;

[0146] In an embodiment of the present invention, the instantaneous rate of change of current is quantitatively calculated at an instantaneous time point for the corresponding dry-type variable cooling fan start-stop wiring current waveform sub-graph by combining the wiring on-off state current fluctuation change amplitude obtained by previous statistical analysis, so as to calculate the instantaneous rate of change of current by using differential operation and performing time differential calculation on the amplitude data of the current waveform, so as to observe the response characteristics of the current when the wiring on-off state is switched, thereby obtaining the instantaneous rate of change of current fluctuation in the wiring on-off state. Similarly, the instantaneous rate of change of voltage is quantitatively calculated at an instantaneous time point for the corresponding dry-type variable cooling fan start-stop wiring voltage waveform sub-graph by combining the wiring on-off state voltage fluctuation change amplitude obtained by previous statistical analysis, so as to calculate the instantaneous rate of change of voltage by using differential operation and performing time differential calculation on the amplitude data of the voltage waveform, thereby finally obtaining the instantaneous rate of change of voltage fluctuation in the wiring on-off state.

[0147] Preferably, based on the instantaneous change rate of current fluctuation in the on-off state of the wiring and the instantaneous change rate of voltage fluctuation in the on-off state of the wiring, the on-off stability evaluation calculation formula is used to evaluate the on-off stability of the corresponding automatic start-stop wiring control process of the dry-type variable cooling fan to obtain the on-off stability score of the start-stop wiring of the dry-type variable cooling fan;

[0148] In an embodiment of the present invention, a suitable wiring on-off stability evaluation calculation formula is formed by combining the on-off stability evaluation time window, the stability evaluation instantaneous time variable parameter, the current value, the voltage value, the instantaneous change rate of the current fluctuation in the wiring on-off state, the current instantaneous change stability weight coefficient, the instantaneous change rate of the voltage fluctuation in the wiring on-off state, the voltage instantaneous change stability weight coefficient and related parameters of the dry variable cooling fan start-stop wiring state to perform an on-off stability evaluation calculation on the corresponding dry variable cooling fan automatic start-stop wiring control process to quantitatively calculate a stability score, the high or low score represents the stability of the wiring during the automatic start-stop process of the dry variable cooling fan, and finally the dry variable cooling fan start-stop wiring on-off state stability score is obtained.

[0149] Among them, the calculation formula for wiring on-off stability evaluation is as follows:

[0150]

[0151] In the formula, Score the stability of the on / off state of the start / stop wiring of the dry-type variable-speed cooling fan. The time window for evaluating the on-off stability, For stability assessment instantaneous time-variable parameters, The start and stop wiring status of the dry-type cooling fan at the instantaneous time point The current value at is the instantaneous rate of change of current fluctuation in the on-off state of the wiring, is the current instantaneous change stability weight coefficient, The start and stop wiring status of the dry-type cooling fan at the instantaneous time point The voltage value at is the instantaneous rate of change of voltage fluctuation in the on-off state of the wiring, is the voltage instantaneous change stability weight coefficient, Correction factor for the stability score of the on / off state of the start / stop wiring of the dry-type variable-speed cooling fan;

[0152] The present invention obtains a wiring on-off stability evaluation calculation formula by using a specific mathematical model and verifying it, which is used to evaluate the on-off stability of the corresponding dry variable cooling fan automatic start-stop wiring control process. The wiring on-off stability evaluation calculation formula can provide a quantitative evaluation basis for the control process of the dry variable cooling fan equipment. This score comprehensively considers the change characteristics of current and voltage, as well as their respective weight coefficients, thereby providing operators with a clear indicator for judging the operating stability of the equipment. This scoring mechanism can be applied to daily monitoring to help timely discover potential problems and take corresponding corrective measures. Wiring on-off abnormality detection based on stability scoring can effectively identify abnormal conditions during the operation of the equipment. This detection capability provides support for equipment fault warning and maintenance, can significantly reduce the risk of failure, and improve the overall reliability of the system. By analyzing the stability score and abnormality detection results, feedback can be provided for the improvement of system design. These data help design engineers understand the performance of the equipment under different working conditions, thereby optimizing the control strategy, improving the wiring design, and even providing a basis for future equipment selection. In summary, the wiring on-off stability evaluation calculation formula not only provides an in-depth analysis and evaluation method for the start-stop wiring of the dry-type variable cooling fan, but also significantly improves the reliability, safety and efficiency of the system through real-time monitoring, quantitative analysis and intelligent control. These effects are of great significance in improving the service life of equipment and reducing maintenance costs.

[0153] Therefore, this formula fully considers the stability score of the on-off state of the dry-type variable cooling fan start-stop wiring , On-off stability evaluation time window , stability assessment instantaneous time variable parameters , the dry-type variable cooling fan start-stop wiring status at the instantaneous time point Current value at , instantaneous rate of change of current fluctuation in the on-off state of the wiring , current instantaneous change stability weight coefficient , the dry-type variable cooling fan start-stop wiring status at the instantaneous time point Voltage value at , instantaneous rate of change of voltage fluctuation in connection on / off state , voltage transient change stability weight coefficient , Correction coefficient of stability score of on-off state of start-stop wiring of dry-type variable cooling fan , according to the stability score of the dry-type variable cooling fan start-stop wiring on-off state The correlation between the various parameters forms a suitable functional relationship This formula can realize the calculation process of the on-off stability evaluation of the corresponding dry-type variable cooling fan automatic start-stop wiring control process. At the same time, the correction coefficient of the on-off state stability score of the dry-type variable cooling fan start-stop wiring is used. The introduction of can be adjusted according to the error conditions that occur in the calculation process, thereby improving the accuracy and applicability of the calculation formula for wiring on-off stability evaluation.

[0154] Preferably, based on the dry variable cooling fan start-stop wiring on-off state stability score, the corresponding dry variable cooling fan automatic start-stop wiring control process is detected for wiring on-off anomaly to obtain the dry variable cooling fan start-stop wiring on-off anomaly.

[0155] In an embodiment of the present invention, by combining the dry-type variable cooling fan start-stop wiring on-off state stability score obtained by previous quantitative calculation, the dry-type variable cooling fan automatic start-stop wiring control process under the corresponding start-stop wiring on-off state time is detected and judged for on-off abnormalities, so as to set an abnormal threshold, compare the stability score with the threshold, and identify the stability score exceeding the abnormal threshold as an abnormal situation of the wiring on-off state, and specifically list the abnormal types and their corresponding score changes to prompt the operator to pay attention to the abnormal operating state of the equipment, such as wiring failure, equipment damage or operation interruption, and finally obtain the dry-type variable cooling fan start-stop wiring on-off abnormality.

[0156] Furthermore, the wiring abnormality warning debugging management module includes the following functions:

[0157] Intelligent early warning response processing is performed on the abnormal on / off of the start / stop wiring of the dry-type variable-speed cooling fan to generate an early warning response signal for the abnormal start / stop wiring of the dry-type variable-speed cooling fan;

[0158] In an embodiment of the present invention, an intelligent early warning response is performed on the abnormal on / off connection of the dry-type variable temperature cooling fan start / stop wiring previously monitored, and a corresponding abnormal early warning response signal is generated by the early warning response. This signal will be transmitted to the central control system in real time through an Internet of Things communication module (such as LoRa or NB-IoT) to ensure timely response and recording of abnormal situations. The goal of the entire process is to achieve intelligent early warning of abnormal on / off connection of the wiring through automated monitoring, and finally respond to generate an early warning response signal for abnormal start / stop connection of the dry-type variable temperature cooling fan.

[0159] Preferably, the abnormal early warning response signal of the start and stop wiring of the dry-type variable cooling fan is applied to the built-in online management platform to perform abnormal wiring debugging control processing to obtain the abnormal wiring debugging control instruction of the start and stop wiring of the dry-type variable cooling fan;

[0160] In an embodiment of the present invention, the abnormal early warning response signal of the start-stop wiring of the dry-type variable cooling fan generated by the previous response is uploaded from the central control system to the online management platform. The online management platform has a built-in fault diagnosis and debugging control module, which is responsible for in-depth analysis and processing of wiring abnormalities. Through data visualization tools, the abnormal data and historical records monitored in real time can be displayed, and the technicians can intuitively determine the cause of the fault. The platform will generate corresponding abnormal debugging control instructions based on the specific type of early warning signal, including but not limited to fan shutdown, alarm prompts and automatic restart instructions. These instructions act directly on the fan controller through the automatic control system to ensure that corresponding control measures can be taken quickly when an abnormality occurs, effectively reducing the potential risk of equipment damage, and finally obtaining the abnormal debugging control instructions for the start-stop wiring of the dry-type variable cooling fan.

[0161] Preferably, abnormal warning debugging management is performed according to the abnormal debugging control instruction of the start-stop wiring of the dry-type variable cooling fan, and a dry-type variable cooling fan wiring abnormal debugging management strategy is generated to execute the corresponding dry-type variable cooling fan start-stop wiring abnormal debugging management operation.

[0162] In an embodiment of the present invention, abnormal early warning debugging management is performed by combining the abnormal debugging control instructions of the start and stop wiring of the dry variable cooling fan generated by the previous control, so as to analyze the current operating status and abnormal characteristics of the fan, and formulate a targeted abnormal debugging management strategy in combination with historical fault data. This strategy will clarify the debugging operations that need to be performed, including specific measures such as equipment maintenance, wiring inspection and parameter adjustment. During the implementation process, the online management platform will dispatch professional tools such as infrared thermometers, multimeters, etc. for on-site testing to ensure the accuracy and effectiveness of the debugging measures. In addition, the platform will record all debugging processes and results for subsequent analysis and improvement. This series of measures is aimed at ensuring the safe and stable operation of the dry variable cooling fan and reducing system failures caused by abnormal wiring, so as to formulate corresponding abnormal debugging management strategies for the wiring of the dry variable cooling fan to perform the corresponding abnormal debugging management operations for the start and stop wiring of the dry variable cooling fan.

[0163] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. An online management system for dry variable cooling fan application services, characterized in that: Includes the following modules: The fan data monitoring and analysis module is used to obtain the operating temperature data of the dry variable cooling fan, the ambient temperature and humidity data of the dry variable cooling fan, and the mechanical transformer vibration data of the dry variable cooling fan, and perform ambient temperature and humidity compensation calibration on the operating temperature data of the dry variable cooling fan based on the ambient temperature and humidity data of the dry variable cooling fan to obtain the actual operating temperature calibration data of the dry variable cooling fan; wherein, the fan data monitoring and analysis module includes the following functions: Obtain the operating temperature data of the dry-type variable-speed cooling fan, the ambient temperature and humidity data of the dry-type variable-speed cooling fan, and the mechanical transformer vibration data of the dry-type variable-speed cooling fan; Perform time series synchronization processing on the dry variable cooling fan operating temperature data and the dry variable cooling fan ambient temperature and humidity data to obtain the fan operating temperature time series data and the fan ambient temperature and humidity time series data in the same time series dimension; Designing environmental temperature and humidity conditions for the fan environmental temperature and humidity time series data to generate different dry variable cooling fan environmental temperature and humidity operating conditions, wherein the dry variable cooling fan environmental temperature and humidity operating conditions include high temperature and high humidity environmental operating conditions, high temperature and low humidity environmental operating conditions, low temperature and high humidity environmental operating conditions, and low temperature and low humidity environmental operating conditions; Based on different ambient temperature and humidity operating conditions of the dry variable cooling fan, the operating temperature environment compensation impact assessment is performed on the fan operating temperature time series data to obtain the corresponding dry variable cooling fan operating temperature compensation factor under different ambient temperature and humidity operating conditions; wherein, the operating temperature environment compensation impact assessment includes: When it is determined that the ambient temperature and humidity operating condition of the dry variable cooling fan is a high temperature and high humidity ambient operating condition, the fan operating temperature time series data is synchronously divided into operating time periods based on the high temperature and high humidity ambient operating condition to obtain the corresponding fan operating temperature time series segmentation under the high temperature and high humidity ambient operating condition; The high temperature and high humidity operating temperature compensation impact assessment calculation is performed on the corresponding fan operating temperature time sequence under the high temperature and high humidity environment operating conditions, and the corresponding dry variable cooling fan operating temperature compensation factor under the high temperature and high humidity environment operating conditions is obtained; wherein, the high temperature and high humidity operating temperature compensation impact assessment calculation includes: The fan operating temperature timing corresponding to the high temperature and high humidity environment operating conditions is segmented and analyzed for the operating temperature timing change, and the fan operating temperature timing change trend curve corresponding to the high temperature and high humidity environment operating conditions is obtained; Obtain the ambient temperature and humidity change data corresponding to the dry variable cooling fan under the high temperature and high humidity environment operating conditions, and perform a statistical analysis of the temperature and humidity change amplitude of the ambient temperature and humidity change data corresponding to the dry variable cooling fan under the high temperature and high humidity environment operating conditions to obtain the high temperature change amplitude of the dry variable cooling fan and the high humidity change amplitude of the dry variable cooling fan; The temperature and humidity change gradients are quantitatively calculated for the high temperature change amplitude of the dry variable cooling fan and the high humidity change amplitude of the dry variable cooling fan, respectively, to obtain the high temperature change gradient of the dry variable cooling fan and the high humidity change gradient of the dry variable cooling fan; Based on the high temperature change gradient of the dry variable cooling fan and the high humidity change gradient of the dry variable cooling fan, the temperature compensation impact evaluation calculation is performed on the corresponding fan operating temperature time series change trend curve under the high temperature and high humidity environment operating conditions using the operating temperature compensation impact calculation formula to obtain the corresponding dry variable cooling fan operating temperature compensation factor under the high temperature and high humidity environment operating conditions; wherein, the operating temperature compensation impact calculation formula is specifically as follows: Where K is the dry variable cooling fan operating temperature compensation factor corresponding to the high temperature and high humidity environment operating conditions, t0 is the operation start time point of the high temperature and high humidity environment operating conditions, t f is the end time point of the operation under the high temperature and high humidity environment operation condition, t is the integral time variable parameter, T(t) is the change value of the fan operating temperature at time t under the high temperature and high humidity environment operation condition, T b is the fan operating temperature reference value under high temperature and high humidity environment operating conditions, H(t) is the fan operating humidity change value at time t under high temperature and high humidity environment operating conditions, H b is the fan operating humidity benchmark value under high temperature and high humidity environment operating conditions, λ is the interaction coefficient between fan operating temperature and humidity, ΔT is the high temperature change gradient of dry variable cooling fan, α is the weight coefficient of ambient temperature change gradient, T a (t f ) is the time t under high temperature and high humidity operating conditions f The fan ambient high temperature change value at T a (t0) is the fan environment high temperature change value at time t0 under high temperature and high humidity operating conditions, ΔH is the high humidity change gradient of the dry variable cooling fan, β is the weight coefficient of the environmental humidity change gradient, H a (t f ) is the time t under high temperature and high humidity operating conditions f The high humidity change value of the fan environment at the location, H a (t0) is the high humidity change value of the fan environment at time t0 under the high temperature and high humidity environment operating conditions, and η is the correction coefficient of the dry variable cooling fan operating temperature compensation factor; Similarly, based on the remaining high temperature and low humidity environment operating conditions, low temperature and high humidity environment operating conditions, and low temperature and low humidity environment operating conditions, the corresponding fan operating temperature time series data is evaluated and calculated to obtain the corresponding dry variable cooling fan operating temperature compensation factors under the high temperature and low humidity environment operating conditions, the low temperature and high humidity environment operating conditions, and the low temperature and low humidity environment operating conditions; The compensation factors of the dry variable cooling fan operating temperature compensation factors corresponding to the high temperature and high humidity environment operating conditions, the high temperature and low humidity environment operating conditions, the low temperature and high humidity environment operating conditions, and the low temperature and low humidity environment operating conditions are combined to obtain the dry variable cooling fan operating temperature compensation factors corresponding to the operating conditions of different ambient temperature and humidity; Based on the corresponding dry variable cooling fan operating temperature compensation factor under different ambient temperature and humidity operating conditions, the corresponding fan operating temperature time series data is calibrated for actual operating temperature compensation to obtain the dry variable cooling fan actual operating temperature calibration data; The application service automatic start-stop wiring control module is used to analyze the automatic start-stop control response of the dry-type variable cooling fan application service based on the actual operating temperature calibration data of the dry-type variable cooling fan and the mechanical transformer vibration data of the dry-type variable cooling fan, so as to generate the automatic start-stop control command of the dry-type variable cooling fan; the automatic start-stop control command of the dry-type variable cooling fan is applied to the independent trolley to perform the automatic start-stop wiring control of the fan, so as to generate the automatic start-stop wiring control process of the dry-type variable cooling fan; The wiring on-off abnormality detection module is used to perform online monitoring of the wiring status between the dry-type variable cooling fan wiring module and the independent trolley in the automatic start-stop wiring control process of the dry-type variable cooling fan, so as to obtain the online parameter set of the dry-type variable cooling fan start-stop wiring control; based on the online parameter set of the dry-type variable cooling fan start-stop wiring control, the wiring on-off abnormality detection is performed on the automatic start-stop wiring control process of the dry-type variable cooling fan, and the dry-type variable cooling fan start-stop wiring on-off abnormality is obtained; The wiring on-off abnormal warning debugging management module is used to perform intelligent warning debugging management on the abnormal on-off of the dry-type variable cooling fan start-stop wiring, generate the dry-type variable cooling fan wiring abnormal debugging management strategy, and execute the corresponding dry-type variable cooling fan start-stop wiring abnormal debugging management operations.

2. The online management system for dry variable cooling fan application service according to claim 1 is characterized in that: The application service automatic start and stop wiring control module includes the following functions: Based on the actual operating temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan, the application operation load analysis of the dry variable cooling fan application service is performed to obtain the operating load change data of the dry variable cooling fan application service; Performing frequency domain conversion on the operating load variation data of the dry variable cooling fan application service to generate an operating load variation spectrum of the dry variable cooling fan; The frequency band variation pattern recognition analysis is performed on the load variation spectrum of the dry variable cooling fan to obtain the frequency band fluctuation variation pattern of the load of the dry variable cooling fan. Compare and judge the fluctuation change patterns of the operating load frequency bands of the dry variable cooling fans. When the fluctuation change patterns of the operating load frequency bands of several variable cooling fans are that the fluctuation change of the operating load in each specific frequency band gradually increases and none of them exceeds the preset safety threshold, the corresponding dry variable cooling fan application service is started to respond to the fan control to generate a dry variable cooling fan start control instruction; when the fluctuation change patterns of the operating load frequency bands of several variable cooling fans are that the fluctuation change of the operating load in each specific frequency band gradually increases and at least one exceeds the preset safety threshold, the corresponding dry variable cooling fan application service is stopped to respond to the fan control to generate a dry variable cooling fan stop control instruction; The dry-type variable cooling fan start control command and the dry-type variable cooling fan stop control command are respectively applied to independent trolleys to perform automatic start and stop wiring control of the fan, so as to generate the automatic start and stop wiring control process of the dry-type variable cooling fan.

3. The online management system for dry variable cooling fan application service according to claim 2 is characterized in that: The application operation load analysis of the dry variable cooling fan application service based on the actual operation temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan includes: Perform mechanical operation vibration characteristic analysis on the mechanical transformer vibration data of the dry-type variable speed cooling fan to obtain mechanical operation vibration characteristic data of the dry-type variable speed cooling fan; Based on the actual operating temperature calibration data of the dry variable cooling fan, the operating vibration characteristic correlation analysis of the mechanical operating vibration characteristic data of the dry variable cooling fan is carried out to obtain the dynamic correlation relationship between the operating temperature change of the dry variable cooling fan and the mechanical vibration characteristic; Based on the dynamic correlation between the operating temperature change and mechanical vibration characteristics of the dry variable cooling fan, the actual operating temperature calibration data of the dry variable cooling fan and the mechanical transformer vibration data of the dry variable cooling fan are used to evaluate and analyze the operating state load impact, and the operating state load impact factor of the dry variable cooling fan is obtained; Based on the load influencing factors of the operating state of the dry variable cooling fan, the application operation load analysis of the dry variable cooling fan application service is performed to obtain the operating load change data of the dry variable cooling fan application service.

4. The online management system for dry variable cooling fan application service according to claim 1 is characterized in that: The wiring on / off abnormality detection module includes the following functions: Conduct online monitoring of the wiring on-off state current between the dry-type variable temperature cooling fan wiring module and the independent trolley in the automatic start-stop wiring control process of the dry-type variable temperature cooling fan to obtain the online current parameters of the dry-type variable temperature cooling fan start-stop wiring on-off state; Conduct online monitoring of the voltage on and off state of the wiring between the dry-type variable cooling fan wiring module and the independent trolley in the automatic start and stop wiring control process of the dry-type variable cooling fan to obtain the online voltage parameters of the on and off state of the dry-type variable cooling fan start and stop wiring; Merge the online current parameter of the on / off state of the dry-type variable cooling fan start / stop wiring and the online voltage parameter of the dry-type variable cooling fan start / stop wiring to obtain the online parameter set of the dry-type variable cooling fan start / stop wiring control; Based on the online parameter set of the dry-type variable temperature cooling fan start-stop wiring control, the dry-type variable temperature cooling fan automatic start-stop wiring control process is detected for wiring on-off anomaly, and the dry-type variable temperature cooling fan start-stop wiring on-off anomaly is obtained.

5. The online management system for dry variable cooling fan application service according to claim 4 is characterized in that: The method of performing wiring on-off abnormality detection on the automatic start-stop wiring control process of the dry variable cooling fan based on the dry variable cooling fan start-stop wiring control online parameter set includes: Conduct electrical state waveform analysis on the online current parameters and online voltage parameters in the online parameter set of the start-stop wiring control of the dry-type variable cooling fan, and obtain a current waveform subgraph of the start-stop wiring of the dry-type variable cooling fan and a voltage waveform subgraph of the start-stop wiring of the dry-type variable cooling fan; The wiring on-off state amplitude change analysis is performed on the dry-type variable cooling fan start-stop wiring current waveform sub-graph and the dry-type variable cooling fan start-stop wiring voltage waveform sub-graph respectively, and the wiring on-off state current fluctuation change amplitude and the wiring on-off state voltage fluctuation change amplitude are obtained; Based on the current fluctuation change amplitude of the wiring on-off state, the instantaneous current change rate of the dry-type variable cooling fan start-stop wiring current waveform sub-graph is quantitatively calculated to obtain the instantaneous change rate of the current fluctuation of the wiring on-off state; based on the voltage fluctuation change amplitude of the wiring on-off state, the instantaneous voltage change rate of the dry-type variable cooling fan start-stop wiring voltage waveform sub-graph is quantitatively calculated to obtain the instantaneous change rate of the voltage fluctuation of the wiring on-off state; Based on the instantaneous change rate of current fluctuation in the on-off state of the wiring and the instantaneous change rate of voltage fluctuation in the on-off state of the wiring, the on-off stability evaluation calculation formula of the wiring is used to evaluate the on-off stability of the corresponding automatic start-stop wiring control process of the dry-type variable cooling fan, so as to obtain the on-off stability score of the start-stop wiring of the dry-type variable cooling fan; Among them, the calculation formula for wiring on-off stability evaluation is as follows: Where S is the stability score of the on-off state of the start-stop wiring of the dry-type variable cooling fan, U is the on-off stability evaluation time window, u is the instantaneous time variable parameter of the stability evaluation, I(u) is the current value of the start-stop wiring state of the dry-type variable cooling fan at the instantaneous time point u, is the instantaneous change rate of current fluctuation in the on-off state of the wiring, ρ1 is the weight coefficient of the stability of the instantaneous change of the current, Y(u) is the voltage value at the instantaneous time point u of the start-stop wiring state of the dry-type cooling fan, is the instantaneous change rate of voltage fluctuation in the on-off state of the wiring, ρ2 is the weight coefficient of voltage instantaneous change stability, and ξ is the correction coefficient of the stability score of the on-off state of the wiring of the dry-type cooling fan; Based on the dry-type variable temperature cooling fan start-stop wiring on-off state stability score, the corresponding dry-type variable temperature cooling fan automatic start-stop wiring control process is detected for wiring on-off anomaly, and the dry-type variable temperature cooling fan start-stop wiring on-off anomaly is obtained.

6. The online management system for dry variable cooling fan application service according to claim 1 is characterized in that: The wiring abnormality warning debugging management module includes the following functions: Intelligent early warning response processing is performed on the abnormal on / off of the start / stop wiring of the dry-type variable-speed cooling fan to generate an early warning response signal for the abnormal start / stop wiring of the dry-type variable-speed cooling fan; The abnormal early warning response signal of the start and stop wiring of the dry-type variable-speed cooling fan is applied to the built-in online management platform to perform abnormal wiring debugging control processing, and obtain the abnormal wiring debugging control instruction of the start and stop wiring of the dry-type variable-speed cooling fan; According to the abnormal debugging control instructions of the start and stop wiring of the dry-type variable cooling fan, abnormal warning debugging management is performed, and a dry-type variable cooling fan wiring abnormal debugging management strategy is generated to execute the corresponding dry-type variable cooling fan start and stop wiring abnormal debugging management operations.

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