Remote monitoring system of steel wire rope rain cover

Abstract

The invention relates to the related field of steel wire rope protection, in particular to a remote monitoring system for a steel wire rope rain cover, the core of the remote monitoring system is a controller module equipped with a microprocessor, and key data such as steel wire rope stress and rain cover humidity can be obtained from a plurality of sensors. Through an advanced filtering technology and feature extraction, the system performs normalization processing and statistical analysis on data, accurately identifies an abnormal state and gives a real-time alarm. The system supports dynamic threshold adjustment and anomaly detection, and ensures continuous safety and reliability in environment change. Through a predictive maintenance function, the system significantly reduces the equipment maintenance cost, reduces the non-planned downtime, and improves the equipment utilization rate. The automatic operation of the system greatly reduces the burden of manual monitoring, provides fine-grained data analysis, and assists an enterprise in implementing fine management.

Description

Technical Field

[0001] The invention relates to the field related to wire rope protection, and in particular to a remote monitoring system for a wire rope rain cover. Background Art

[0002] In many outdoor equipment, wire ropes are often used for lifting and transporting heavy objects. However, long-term exposure to the external environment, especially the erosion of rain, will cause corrosion and wear of the wire rope, thus affecting its service life and safety. Current protective measures mainly rely on physical isolation, but lack effective monitoring methods to understand the status of the wire rope in real time. Therefore, it is particularly important to design a system that can remotely monitor the working status of the wire rope and the status of the protective cover. Summary of the invention

[0003] The object of the present invention is to provide a remote monitoring system for a steel wire rope rain cover to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above-mentioned object, the present invention provides the following technical solutions: a remote monitoring system for a steel wire rope rain cover, comprising a sensor module, a controller module, a power module, a data processing and transmission module, a user interface module and an alarm module, wherein the sensor module comprises a strain gauge and a humidity sensor, wherein the strain gauge and the humidity sensor are located in the key areas of the steel wire rope and the rain cover, and are used to detect the tension change of the steel wire rope and the humidity of the rain cover;

[0005] The controller module is equipped with a microprocessor for preliminary processing and analysis of the data collected by the sensor module, and is integrated with a wireless communication module for remote transmission of data;

[0006] The power module is used to power the sensor module, controller module, data processing and transmission module, user interface module and alarm module, and adopts a solar power supply system to ensure the long-term stable operation of the entire system outdoors;

[0007] The data processing and transmission module is used for the microprocessor to analyze the data from the sensor, determine whether the rain cover is damaged or whether the wire rope is in an abnormal stress state, and transmit the processed data to the central server through the wireless communication module. The server stores and analyzes the data and displays it to the client through the application interface;

[0008] The user interface module provides mobile and PC applications, allowing users to view the status of the wire rope and rain cover in real time and set alarm parameters;

[0009] The alarm module is used to detect that when the rain cover is damaged or the wire rope is abnormally stressed, the system automatically sends an alarm to the user, including a text message or application notification.

[0010] Preferably, the strain gauge of the sensor module monitors the strain of the wire rope in real time, determines whether the wire rope is in an overload state, and prevents the risk of wire rope breakage caused by excessive load. At the same time, the strain gauge is installed at the key stress point of the wire rope, specifically the joint at the end of the wire rope or the pulley shaft of the fixed angle pulley and other positions where the stress does not fluctuate, so as to detect the accurate stress of the wire rope;

[0011] The humidity sensor is used to monitor the humidity changes of the rain cover and identify whether the rain cover has lost its original waterproof ability due to damage or other reasons; the humidity sensor should be installed on the inner surface of the rain cover, ensuring that the humidity sensor senses the humidity inside the rain cover while avoiding direct exposure to external water flow and wind and sand.

[0012] Preferably, the microprocessor of the controller module uses an ARM Cortex-M series chip, and the wireless communication module uses WIFI technology and 4G technology. The wireless communication module is used to transmit the data processed by the microprocessor to a central server or user equipment, thereby realizing remote monitoring and alarm notification. The specific steps of the microprocessor's preliminary processing and analysis of the data collected by the sensor module are as follows:

[0013] Step 1, sensor reading: the microprocessor periodically obtains real-time data from multiple connected sensors, including reading the stress value of the wire rope and the humidity value of the rain cover;

[0014] Step 2, noise filtering: The real-time data obtained in step 1 is passed through a low-pass filter, and then the high-frequency noise is removed through Kalman filtering to further accurately filter out the random noise in the dynamic environment for smoothing of the real-time data stream;

[0015] Step 3, data normalization: The data after noise filtering is normalized and scaled to a standard range to unify the data formats of different sensors, that is, to eliminate the influence of different dimensions on data processing, specifically the scale difference between stress values ​​and humidity values;

[0016] Step 4: Data analysis: Calculate the average of the past fixed time window of the data processed in step 3 to detect trends or stable states, and calculate the rate of change of adjacent data points to identify abnormal behaviors in the trend.

[0017] Preferably, the data processing and transmission module obtains the data preliminarily processed and analyzed by the microprocessor in the controller module for further processing, and the specific steps are as follows:

[0018] Step A: The central server receives the pre-processed data transmitted from the controller module and stores it in the database. At the same time, the data is analyzed as follows, specifically, status judgment: Wire rope strain data: By comparing the data collected by the strain gauge with the standard or threshold set by the user, it is judged whether the wire rope is in a normal, overloaded or relaxed state; Rain cover humidity data: Analyze the humidity sensor data to determine whether there is abnormal water accumulation or damage that causes increased humidity;

[0019] Step B, abnormality detection: If the data exceeds the set threshold, the microprocessor will record the abnormal event, specifically, the wire rope is subjected to excessive stress or the rain cover cannot effectively waterproof.

[0020] Step C: Update the analysis results of the data detected in step B to the application through the API interface. The user can view the system status in real time through the mobile or PC software;

[0021] Step D: When a dangerous state is detected in step B, the central server immediately generates an alarm message and notifies the user via SMS, email or application to ensure a quick response.

[0022] Preferably, the specific status judgment in step A is as follows:

[0023] a. Feature extraction:

[0024] Wire rope strain characteristics: Strain increment calculation: Δ∈=∈(t)-∈ 0 , where ∈(t) is the strain data collected to reflect the stress state of the wire rope, ∈ 0 is the reference strain value; strain rate calculation: Calculate the rate of change of strain in a short period of time and monitor dynamic changes;

[0025] Humidity characteristics: Humidity deviation: ΔH=H(t)-H ref , where H(t) is the data reflecting the humidity status of the rain cover, H ref The reference humidity value when the rain cover is intact

[0026] b. Status judgment:

[0027] Abnormal wire rope stress judgment: Threshold judgment: Normal state: |Δ∈|<∈ safe ; Abnormal state: |Δ∈|≥∈ safe ; Strain rate threshold: exceeding a certain value identifies an emergency event: |R ∈ |≥R crit ;

[0028] Rain cover damage judgment: If the humidity deviation exceeds a certain threshold: |ΔH|≥H crit , it indicates that the rain cover is damaged or ineffective.

[0029] Preferably, the user interface module includes a main dashboard, a data trend analysis unit, an alarm setting unit, a system configuration unit and a user account management unit, the specific contents of which are as follows:

[0030] Main dashboard: Graphical instruments are used to display the stress of the wire rope and the humidity status of the rain cover. The humidity status indication is color-coded as "normal", "warning" and "danger".

[0031] Data trend analysis unit: provides stress value and humidity value change charts for selectable time windows, marks abnormal events detected in the past on the charts, and displays the key statistical indicators of stress value and humidity value average value, maximum value, minimum value, and standard deviation;

[0032] Alarm setting unit: used by users to set / adjust the alarm thresholds of wire rope stress and rain cover humidity, and also displays past alarm records, including time, type and processing status;

[0033] System configuration unit: used to display the status and parameter settings of the currently connected sensors, and also supports adding, deleting or configuring new sensors; displays the current network connection status and IP address;

[0034] User account management unit: used to display user personal information, including user name and contact information; it also provides options for changing passwords and setting two-step verification security.

[0035] Preferably, the alarm module specifically includes the following contents:

[0036] Alarm trigger conditions: The humidity sensor value is detected to exceed the preset humidity threshold; the strain sensor detects that the stress data exceeds the safety range and continuously monitors the rapid change rate of stress;

[0037] Alarm work: Receive the processed data from the data processing and transmission module, and trigger an alarm when the analysis result exceeds the safety parameter range. At the same time, record the abnormal data points and mark the event time. When the trigger condition is met, generate an alarm event, including event type, time, parameter value details;

[0038] Alarm sending: After the alarm is triggered, the alarm information will be pushed through the mobile and PC applications. The in-app notification includes detailed alarm information and can be linked to the application interface to view more detailed status and history records;

[0039] User alarm settings: Users can set multiple levels of alarms, including minor anomalies and serious anomalies, so as to adopt different response strategies according to the urgency of the situation;

[0040] Alarm management and history: Alarm events are recorded in the system, and users can view past alarm events through the application, including detailed time, content and processing status.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The present invention can monitor key indicators in real time and identify abnormal situations in a timely manner. This can prevent potential equipment failures or safety hazards, such as preventing wire rope breakage due to excessive stress and equipment damage caused by rain cover damage; through time series analysis and trend warning, the system can issue a warning before the problem develops to a serious level. This allows equipment maintenance to be carried out in a more planned manner, rather than relying on regular maintenance or post-repair, thereby reducing downtime and maintenance costs; combined with advanced data analysis technology, the system can accurately analyze and predict equipment status changes, thereby providing operators with reliable decision support and improving operating efficiency and equipment utilization; the alarm threshold and model parameters can be dynamically adjusted according to historical data and environmental changes to adapt to operating requirements under different environmental conditions, thereby ensuring long-term stable operation; the system can record and analyze detailed equipment operation data to provide data support for subsequent optimization, which helps to discover weak links in the operation process and achieve refined management. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 , the present invention provides a technical solution: a remote monitoring system for a steel wire rope rain cover, comprising a sensor module, a controller module, a power module, a data processing and transmission module, a user interface module and an alarm module, the sensor module comprising a strain gauge and a humidity sensor, wherein the strain gauge and the humidity sensor are in the key areas of the steel wire rope and the rain cover, and are used to detect the tension change of the steel wire rope and the humidity of the rain cover;

[0046] The controller module is equipped with a microprocessor for preliminary processing and analysis of the data collected by the sensor module, and is integrated with a wireless communication module for remote transmission of data;

[0047] The power module is used to power the sensor module, controller module, data processing and transmission module, user interface module and alarm module, and adopts a solar power supply system to ensure the long-term stable operation of the entire system outdoors;

[0048] The data processing and transmission module is used for the microprocessor to analyze the data from the sensor to determine whether the rain cover is damaged or whether the wire rope is in an abnormal stress state. At the same time, the processed data is transmitted to the central server through the wireless communication module. The server stores and analyzes the data and displays it to the client through the application interface;

[0049] The user interface module provides mobile and PC applications, allowing users to view the status of the wire rope and rain cover in real time and set alarm parameters;

[0050] The alarm module is used to detect that when the rain cover is damaged or the wire rope is abnormally stressed, the system automatically sends an alarm to the user, including text messages or application notifications.

[0051] Furthermore, the strain gauge of the sensor module monitors the strain of the wire rope in real time, determines whether the wire rope is in an overload state, and prevents the risk of wire rope breakage caused by excessive load. At the same time, the strain gauge is installed at the key stress points of the wire rope, specifically the joint at the end of the wire rope or the pulley shaft of the fixed angle pulley and other locations where stress does not fluctuate, so as to detect the accurate stress of the wire rope;

[0052] The humidity sensor is used to monitor the humidity changes of the rain cover and identify whether the rain cover has lost its original waterproof ability due to damage or other reasons; the humidity sensor should be installed on the inner surface of the rain cover, ensuring that the humidity sensor senses the humidity inside the rain cover while avoiding direct exposure to external water flow and wind and sand.

[0053] Furthermore, the microprocessor of the controller module uses an ARM Cortex-M series chip, and the wireless communication module uses WIFI technology and 4G technology. The wireless communication module is used to transmit the data processed by the microprocessor to the central server or user equipment, thereby realizing remote monitoring and alarm notification. The specific steps of the microprocessor's preliminary processing and analysis of the data collected by the sensor module are as follows:

[0054] Step 1, sensor reading: the microprocessor periodically obtains real-time data from multiple connected sensors, including reading the stress value of the wire rope and the humidity value of the rain cover;

[0055] Step 2, noise filtering: The real-time data obtained in step 1 is passed through a low-pass filter, and then the high-frequency noise is removed through Kalman filtering to further accurately filter out the random noise in the dynamic environment for smoothing of the real-time data stream;

[0056] Step 3, data normalization: The data after noise filtering is normalized and scaled to a standard range to unify the data formats of different sensors, that is, to eliminate the influence of different dimensions on data processing, specifically the scale difference between stress values ​​and humidity values;

[0057] Step 4: Data analysis: Calculate the average of the past fixed time window of the data processed in step 3 to detect trends or stable states, and calculate the rate of change of adjacent data points to identify abnormal behaviors in the trend.

[0058] Furthermore, the data processing and transmission module obtains the data preliminarily processed and analyzed by the microprocessor in the controller module and further processes it. The specific steps are as follows:

[0059] Step A: The central server receives the pre-processed data transmitted from the controller module and stores it in the database. At the same time, the data is analyzed as follows, specifically, status judgment: Wire rope strain data: By comparing the data collected by the strain gauge with the standard or threshold set by the user, it is judged whether the wire rope is in a normal, overloaded or relaxed state; Rain cover humidity data: Analyze the humidity sensor data to determine whether there is abnormal water accumulation or damage that causes increased humidity;

[0060] Step B, abnormality detection: If the data exceeds the set threshold, the microprocessor will record the abnormal event, specifically, the wire rope is subjected to excessive stress or the rain cover cannot effectively waterproof.

[0061] Step C: Update the analysis results of the data detected in step B to the application through the API interface. The user can view the system status in real time through the mobile or PC software;

[0062] Step D: When a dangerous state is detected in step B, the central server immediately generates an alarm message and notifies the user via SMS, email or application to ensure a quick response.

[0063] Furthermore, the specific status determination in step A is as follows:

[0064] a. Feature extraction:

[0065] Wire rope strain characteristics: Strain increment calculation: Δ∈=∈(t)-∈ 0 , where ∈(t) is the strain data collected to reflect the stress state of the wire rope, ∈ 0 is the reference strain value; strain rate calculation: Calculate the rate of change of strain in a short period of time and monitor dynamic changes;

[0066] Humidity characteristics: Humidity deviation: ΔH=H(t)-H ref , where H(t) is the data reflecting the humidity status of the rain cover, Href It is the reference humidity value when the rain cover is intact.

[0067] b. Status judgment:

[0068] Abnormal wire rope stress judgment: Threshold judgment: Normal state: |Δ∈|<∈ safe ; Abnormal state: |Δ∈|≥∈ safe ; Strain rate threshold: exceeding a certain value identifies an emergency event: |R ∈ |≥R crit ;

[0069] Rain cover damage judgment: If the humidity deviation exceeds a certain threshold: |ΔH|≥H crit , it indicates that the rain cover is damaged or ineffective.

[0070] Furthermore, the user interface module includes a main dashboard, a data trend analysis unit, an alarm setting unit, a system configuration unit and a user account management unit, the specific contents of which are as follows:

[0071] Main dashboard: Graphical instruments are used to display the stress of the wire rope and the humidity status of the rain cover. The humidity status indication is color-coded as "normal", "warning" and "danger".

[0072] Data trend analysis unit: provides stress value and humidity value change charts for selectable time windows, marks abnormal events detected in the past on the charts, and displays the key statistical indicators of stress value and humidity value average value, maximum value, minimum value, and standard deviation;

[0073] Alarm setting unit: used by users to set / adjust the alarm thresholds of wire rope stress and rain cover humidity, and also displays past alarm records, including time, type and processing status;

[0074] System configuration unit: used to display the status and parameter settings of the currently connected sensors, and also supports adding, deleting or configuring new sensors; displays the current network connection status and IP address;

[0075] User account management unit: used to display user personal information, including username and contact information; also provides options for changing passwords and setting two-step verification security

[0076] Furthermore, the alarm module specifically includes the following contents:

[0077] Alarm trigger conditions: The humidity sensor value is detected to exceed the preset humidity threshold; the strain sensor detects that the stress data exceeds the safety range and continuously monitors the rapid change rate of stress;

[0078] Alarm work: Receive the processed data from the data processing and transmission module, and trigger an alarm when the analysis result exceeds the safety parameter range. At the same time, record the abnormal data points and mark the event time. When the trigger condition is met, generate an alarm event, including event type, time, parameter value details;

[0079] Alarm sending: After the alarm is triggered, the alarm information will be pushed through the mobile and PC applications. The in-app notification includes detailed alarm information and can be linked to the application interface to view more detailed status and history records;

[0080] User alarm settings: Users can set multiple levels of alarms, including minor anomalies and serious anomalies, so as to adopt different response strategies according to the urgency of the situation;

[0081] Alarm management and history: Alarm events are recorded in the system, and users can view past alarm events through the application, including detailed time, content and processing status.

[0082] The invention is an intelligent monitoring and alarm system for industrial environments, designed to monitor key equipment status parameters in real time, such as wire rope stress and rain cover humidity. The system is equipped with a microprocessor that collects, processes and analyzes sensor data, and performs data normalization and statistical analysis through advanced filtering and feature extraction techniques.

[0083] The system can automatically identify abnormal conditions and issue warnings, support predictive maintenance, and effectively improve the safety and operational reliability of equipment. By reducing the burden of manual monitoring and the maintenance cost of infrastructure, this intelligent system significantly optimizes the efficiency of industrial operations. In addition, the system has the ability to dynamically adjust to changing environmental conditions to ensure the accuracy and long-term stability of monitoring. The invention has shown great application value and market potential in improving the safety and efficient operation of industrial processes.

[0084] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A remote monitoring system for a steel wire rain cover, comprising a sensor module, a controller module, a power module, a data processing and transmission module, a user interface module and an alarm module, characterized in that: The sensor module includes a strain gauge and a humidity sensor, wherein the strain gauge and the humidity sensor are located in the key areas of the steel wire rope and the rain cover, and are used to detect the tension change of the steel wire rope and the humidity of the rain cover; The controller module is equipped with a microprocessor for preliminary processing and analysis of the data collected by the sensor module, and is integrated with a wireless communication module for remote transmission of data; The power module is used to power the sensor module, controller module, data processing and transmission module, user interface module and alarm module, and adopts a solar power supply system to ensure the long-term stable operation of the entire system outdoors; The data processing and transmission module is used for the microprocessor to analyze the data from the sensor, determine whether the rain cover is damaged or whether the wire rope is in an abnormal stress state, and transmit the processed data to the central server through the wireless communication module. The server stores and analyzes the data and displays it to the client through the application interface; The user interface module provides mobile and PC applications, allowing users to view the status of the wire rope and rain cover in real time and set alarm parameters; The alarm module is used to detect that when the rain cover is damaged or the wire rope is abnormally stressed, the system automatically sends an alarm to the user, including a text message or application notification.

2. The remote monitoring system for a wire rope rain cover according to claim 1 is characterized in that: The strain gauge of the sensor module monitors the stress of the wire rope in real time, determines whether the wire rope is in an overload state, and prevents the risk of wire rope breakage caused by excessive load. At the same time, the strain gauge is installed at the key stress points of the wire rope, specifically the joint at the end of the wire rope or the pulley shaft of the fixed angle pulley and other positions where the stress does not fluctuate, so as to detect the accurate stress of the wire rope; The humidity sensor is used to monitor the humidity change of the rain cover and identify whether the rain cover has lost its original waterproof ability due to damage or other reasons; The humidity sensor should be installed on the inner surface of the rain cover, ensuring that the humidity sensor senses the humidity inside the rain cover while avoiding direct exposure to external water flow and wind and sand.

3. The remote monitoring system for a wire rope rain cover according to claim 1 is characterized in that: The microprocessor of the controller module uses ARM Cortex-M series chips, and the wireless communication module uses WIFI technology and 4G technology. The wireless communication module is used to transmit the data processed by the microprocessor to the central server or user equipment, thereby realizing remote monitoring and alarm notification. The specific steps of the microprocessor's preliminary processing and analysis of the data collected by the sensor module are as follows: Step 1, sensor reading: the microprocessor periodically obtains real-time data from multiple connected sensors, including reading the stress value of the wire rope and the humidity value of the rain cover; Step 2, noise filtering: The real-time data obtained in step 1 is passed through a low-pass filter, and then the high-frequency noise is removed through Kalman filtering to further accurately filter out the random noise in the dynamic environment for smoothing of the real-time data stream; Step 3, data normalization: The data after noise filtering is normalized and scaled to a standard range to unify the data formats of different sensors, that is, to eliminate the influence of different dimensions on data processing, specifically the scale difference between stress values ​​and humidity values; Step 4: Data analysis: Calculate the average of the past fixed time window of the data processed in step 3 to detect trends or stable states, and calculate the rate of change of adjacent data points to identify abnormal behaviors in the trend.

4. The remote monitoring system for a wire rope rain cover according to claim 1, characterized in that: The data processing and transmission module obtains the data initially processed and analyzed by the microprocessor in the controller module and further processes it. The specific steps are as follows: Step A: The central server receives the pre-processed data transmitted from the controller module and stores it in the database. At the same time, the data is analyzed as follows, specifically, status judgment: Wire rope strain data: By comparing the data collected by the strain gauge with the standard or threshold set by the user, it is judged whether the wire rope is in a normal, overloaded or relaxed state; Rain cover humidity data: Analyze the humidity sensor data to determine whether there is abnormal water accumulation or damage that causes increased humidity; Step B, abnormality detection: If the data exceeds the set threshold, the microprocessor will record the abnormal event, specifically, the wire rope is subjected to excessive stress or the rain cover cannot effectively waterproof. Step C: Update the analysis results of the data detected in step B to the application through the API interface. The user can view the system status in real time through the mobile or PC software; Step D: When a dangerous state is detected in step B, the central server immediately generates an alarm message and notifies the user via SMS, email or application to ensure a quick response.

5. The remote monitoring system for a wire rope rain cover according to claim 4 is characterized in that: The specific status judgment in step A is as follows: a. Feature extraction: Wire rope strain characteristics: strain increment calculation: Δ∈=∈(t)-∈0, where ∈(t) is the collected strain data reflecting the stress state of the wire rope, and ∈0 is the reference strain value; strain rate calculation: Calculate the rate of change of strain in a short period of time and monitor dynamic changes; Humidity characteristics: Humidity deviation: ΔH=H(t)-H ref , where H(t) is the data reflecting the humidity status of the rain cover, H ref The reference humidity value when the rain cover is intact b. Status judgment: Abnormal wire rope stress judgment: Threshold judgment: Normal state: |Δ∈|<∈ safe ; Abnormal state: |Δ∈|≥∈ safe ; Strain rate threshold: exceeding a certain value identifies an emergency event: |R ∈ |≥R crit ; Rain cover damage judgment: If the humidity deviation exceeds a certain threshold: |ΔH|≥H crit , it indicates that the rain cover is damaged or ineffective.

6. The remote monitoring system for a wire rope rain cover according to claim 1, characterized in that: The user interface module includes a main dashboard, a data trend analysis unit, an alarm setting unit, a system configuration unit and a user account management unit. The specific contents are as follows: Main dashboard: Graphical instruments are used to display the stress of the wire rope and the humidity status of the rain cover. The humidity status indication is color-coded as "normal", "warning" and "danger"; Data trend analysis unit: provides stress value and humidity value change charts for selectable time windows, marks abnormal events detected in the past on the charts, and displays the key statistical indicators of stress value and humidity value average value, maximum value, minimum value, and standard deviation; Alarm setting unit: used by users to set / adjust the alarm thresholds of wire rope stress and rain cover humidity, and also displays past alarm records, including time, type and processing status; System configuration unit: used to display the status and parameter settings of the currently connected sensors, and also supports adding, deleting or configuring new sensors; displays the current network connection status and IP address; User account management unit: used to display user personal information, including user name and contact information; it also provides options for changing passwords and setting two-step verification security.

7. The remote monitoring system for a wire rope rain cover according to claim 1, characterized in that: The alarm module specifically includes the following contents: Alarm trigger conditions: The humidity sensor value is detected to exceed the preset humidity threshold; the strain sensor detects that the stress data exceeds the safety range and continuously monitors the rapid change rate of stress; Alarm work: Receive the processed data from the data processing and transmission module, and trigger an alarm when the analysis result exceeds the safety parameter range. At the same time, record the abnormal data points and mark the event time. When the trigger condition is met, generate an alarm event, including event type, time, parameter value details; Alarm sending: After the alarm is triggered, the alarm information will be pushed through the mobile and PC applications. The in-app notification includes detailed alarm information and can be linked to the application interface to view more detailed status and history records; User alarm settings: Users can set multiple levels of alarms, including minor anomalies and serious anomalies, so as to adopt different response strategies according to the urgency of the situation; Alarm management and history: Alarm events are recorded in the system, and users can view past alarm events through the application, including detailed time, content and processing status.

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