Wind and snow flow monitoring sensor operation detection system based on data analysis

Abstract

The invention discloses a wind and snow flow monitoring sensor operation detection system based on data analysis, relates to the technical field of monitoring sensor operation detection, and solves the technical problem that in the prior art, when a monitoring sensor is used for area monitoring, the position, operation and maintenance of the monitoring sensor cannot be synchronously detected. After the monitoring sensor is put into use, the position setting module in the detection platform performs position setting detection on the monitoring sensor put into use in real time so as to ensure that the position setting of the monitoring sensor can meet the real-time monitoring requirement and ensure that the environmental monitoring in a region is accurate; the situation that the operation efficiency of the monitoring sensor is reduced due to unreasonable position, and environment detection in the area deviates is avoided; after the analysis object passes the position setting detection, the operation detection module performs operation detection on the analysis object which operates in real time, thereby ensuring that the analysis object keeps qualified operation efficiency in the use process, and improving the numerical accuracy of regional monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring sensor operation detection, and particularly to a snow - wind flow monitoring sensor operation detection system based on data analysis. Background Technique

[0002] The snow - drift sensor is a sealed and low - power sensor without other moving parts. It combines an anemometer and snow - particle counting to determine the intensity and speed of snow - drift. It consists of 3 sound - pressure sensing components, 1 electronic processor, and related cables and data lines, and is widely used in snow - pile / blowing - snow monitoring, mass - flux and wind - speed measurement, avalanche risk assessment, polar cold - climate monitoring, meteorological and scientific applications, and industrial monitoring.

[0003] However, in the prior art, when the monitoring sensor is used for area monitoring, it cannot synchronously detect the position, operation, and maintenance of the monitoring sensor itself, so that it cannot ensure that the working efficiency of area monitoring meets the requirements, and at the same time, it is unable to give an early warning of the regional snow - volume environment based on the real - time operating monitoring sensor.

[0004] In view of the above - mentioned technical defects, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to solve the above - mentioned problems, and to propose a snow - wind flow monitoring sensor operation detection system based on data analysis.

[0006] The purpose of the present invention can be achieved by the following technical solutions: A snow - wind flow monitoring sensor operation detection system based on data analysis includes a detection platform, an environment monitoring module, and a human - machine interaction terminal.

[0007] After the monitoring sensor is put into use, the position setting module in the detection platform conducts position setting detection on the monitoring sensor that is newly put into use in real - time. After the analysis object passes the position setting detection, the operation detection module conducts operation detection on the analysis object that is running in real - time. When the analysis object is under maintenance, the operation and maintenance management module conducts operation and maintenance detection on the analysis object. After the detection platform completes the detection of the analysis object, it generates an environment monitoring signal and sends the environment monitoring signal to the environment monitoring module. After receiving the environment monitoring signal, the environment monitoring module takes the currently running analysis object as a data collection point and conducts environment monitoring according to the data collection of the data collection point.

[0008] As a preferred embodiment of the present invention, the operation process of the position setting module is as follows:

[0009] Mark the monitoring sensor as the set object, and set the label i, where i is a natural number greater than 1. After the position of the analysis object is set and put into use, obtain the maximum difference in the sway amplitude of the analysis object at different times at the pole position where the analysis object is located during the area monitoring, and the maximum deviation of the collected values of the analysis object under different sway amplitudes; collect the deviation of the placement angle of the pole position where the analysis object is located during the area monitoring; obtain the position setting analysis coefficient of the analysis object during the area monitoring through analysis.

[0010] Compare the position setting analysis coefficient of the analysis object during the area monitoring with the position setting analysis coefficient threshold:

[0011] If the position setting analysis coefficient of the analysis object during the area monitoring exceeds the position setting analysis coefficient threshold, it is determined that the position setting analysis of the corresponding analysis object is unqualified, generate a position setting abnormal signal and send the position setting abnormal signal to the administrator through the human-computer interaction terminal; the administrator re-sets the position of the corresponding analysis object; if the position setting analysis coefficient of the analysis object during the area monitoring does not exceed the position setting analysis coefficient threshold, it is determined that the position setting analysis of the corresponding analysis object is qualified, generate a position setting normal signal and send the position setting normal signal to the administrator through the human-computer interaction terminal.

[0012] As a preferred implementation manner of the present invention, the operation process of the operation detection module is as follows:

[0013] Obtain the increase span of the snow accumulation amount of the induction component during the real-time operation of the analysis object and the maximum deviation value of the environmental monitoring values at adjacent times of the analysis object, and compare the increase span of the snow accumulation amount of the induction component during the real-time operation of the analysis object and the maximum deviation value of the environmental monitoring values at adjacent times of the analysis object with the snow accumulation amount increase span threshold and the numerical maximum deviation value threshold respectively:

[0014] If the increase span of the snow accumulation amount of the induction component during the real-time operation of the analysis object exceeds the snow accumulation amount increase span threshold, or the maximum deviation value of the environmental monitoring values at adjacent times of the analysis object exceeds the numerical maximum deviation value threshold, it is determined that the real-time operation detection of the analysis object is qualified, generate a real-time operation detection qualified signal and send the real-time operation detection qualified signal to the administrator through the human-computer interaction terminal;

[0015] If the increase span of the snow accumulation amount of the induction component during the real-time operation of the analysis object does not exceed the snow accumulation amount increase span threshold, and the maximum deviation value of the environmental monitoring values at adjacent times of the analysis object does not exceed the numerical maximum deviation value threshold, it is determined that the real-time operation detection of the analysis object is unqualified, generate a real-time operation detection unqualified signal and send the real-time operation detection unqualified signal to the administrator through the human-computer interaction terminal; the administrator performs operation and maintenance on the corresponding analysis object.

[0016] As a preferred embodiment of the present invention, the operation process of the operation and maintenance management module is as follows:

[0017] Mark the analysis object to be maintained as an object with a fault. Collect the shortening speed of the maintenance cycle during the operation of the object with a fault and the shortest fault generation duration after the current maintenance of the object with a fault, and compare the shortening speed of the maintenance cycle during the operation of the object with a fault and the shortest fault generation duration after the current maintenance of the object with a fault with the cycle shortening speed threshold and the shortest fault generation duration threshold respectively:

[0018] If the shortening speed of the maintenance cycle during the operation of the object with a fault exceeds the cycle shortening speed threshold, or the shortest fault generation duration after the current maintenance of the object with a fault exceeds the shortest fault generation duration threshold, it is determined that the corresponding object with a fault needs to be taken out of service for maintenance after the current maintenance cycle ends. Generate an out-of-service maintenance signal and send the out-of-service maintenance signal to the administrator through the human-machine interaction terminal;

[0019] If the shortening speed of the maintenance cycle during the operation of the object with a fault does not exceed the cycle shortening speed threshold, and the shortest fault generation duration after the current maintenance of the object with a fault does not exceed the shortest fault generation duration threshold, it is determined that the corresponding object with a fault can continue to operate after the current maintenance cycle ends. Generate a continuous operation signal and send the continuous operation signal to the administrator through the human-machine interaction terminal.

[0020] As a preferred embodiment of the present invention, the operation process of the environment monitoring module is as follows:

[0021] Obtain the increase rate of the snow storage amount at the same position in the current area and the maximum snow amount difference between the top snow storage and the bottom snow storage at the same position according to the data collection point, and compare the increase rate of the snow storage amount at the same position in the current area and the maximum snow amount difference between the top snow storage and the bottom snow storage at the same position with the snow storage amount increase rate threshold and the maximum snow amount difference threshold respectively.

[0022] As a preferred embodiment of the present invention, if the increase rate of the snow storage amount at the same position in the current area exceeds the snow storage amount increase rate threshold, or the maximum snow amount between the top snow storage and the bottom snow storage at the same position exceeds the maximum snow amount difference threshold, it is determined that there is an environmental risk in the corresponding area. Generate an environmental warning signal and send the environmental warning signal to the administrator through the human-machine interaction terminal;

[0023] If the increase rate of the snow storage amount at the same position within the current area exceeds the snow storage amount increase rate threshold, and the maximum snow amount of the top snow storage at the same position exceeds the maximum snow amount difference threshold at the bottom snow storage, it is determined that there is an environmental danger within the corresponding area, an environmental alarm signal is generated, and the environmental alarm signal is sent to the administrator through the human-machine interaction terminal;

[0024] If the increase rate of the snow storage amount at the same position within the current area does not exceed the snow storage amount increase rate threshold, and the maximum snow amount of the top snow storage at the same position does not exceed the maximum snow amount difference threshold at the bottom snow storage, it is determined that the environmental detection within the corresponding area is normal, an environmental normal signal is generated, and the environmental normal signal is sent to the administrator through the human-machine interaction terminal.

[0025] Compared with the prior art, the beneficial effects of the present invention are:

[0026] 1. In the present invention, after the monitoring sensor is put into use, the position setting module in the detection platform performs position setting detection on the monitoring sensor that is put into use in real time, and judges whether the real-time position setting of the monitoring sensor is qualified, so as to ensure that the position setting of the monitoring sensor can meet the real-time monitoring requirements, ensure the accuracy of environmental monitoring within the area, and avoid the reduction of the operating efficiency of the monitoring sensor caused by unreasonable positions, resulting in deviations in environmental detection within the area; after the analysis object passes the position setting detection, the operation detection module performs operation detection on the analysis object that is running in real time, ensuring that the analysis object maintains a qualified operating efficiency during use, and improving the numerical accuracy of area monitoring.

[0027] 2. In the present invention, when the analysis object is under maintenance, the operation and maintenance management module performs operation and maintenance detection on the analysis object, and judges whether the real-time state of the analysis object during maintenance is qualified, so as to judge whether the analysis object needs to be maintained during maintenance, accurately improving the maintenance efficiency of the analysis object, preventing the low maintenance efficiency of the analysis object from causing low maintenance decision-making efficiency, and thus being unable to control the maintenance cost; after receiving the environmental monitoring signal, the environmental monitoring module uses the currently running analysis object as a data collection point, and performs environmental monitoring based on the data collection of the data collection point, improving the accuracy of area monitoring, and at the same time ensuring that the analysis objects for area monitoring are all in a qualified operating state, greatly improving the working efficiency of area environmental monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0029] Figure 1 It is a principle block diagram of a snowstorm flow monitoring sensor operation detection system based on data analysis according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0030] To enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts fall within the scope of protection of the present invention.

[0031] Referring to "embodiments" herein means that the specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0032] Please refer to Figure 1 As shown, a running detection system for a wind and snow flow monitoring sensor based on data analysis includes a detection platform, an environmental monitoring module, and a human-computer interaction terminal. Among them, the detection platform is used to perform running detection on the monitoring sensor, and after passing the detection, it serves as the data acquisition end of the environmental monitoring module, monitors the current area through the monitoring sensor, and transmits the data through the human-computer interaction terminal after the monitoring is completed;

[0033] Embodiment 1

[0034] After the monitoring sensor is put into use, the position setting module in the detection platform performs position setting detection on the monitoring sensor put into use in real time, judges whether the real-time position setting of the monitoring sensor is qualified, so as to ensure that the position setting of the monitoring sensor can meet the real-time monitoring requirements, ensure accurate environmental monitoring in the area, and avoid the reduction of the operating efficiency of the monitoring sensor caused by unreasonable positions, resulting in deviations in environmental detection in the area;

[0035] Mark the monitoring sensor as the setting object, and set the label i, where i is a natural number greater than 1. After the analysis object completes the position setting and is put into use, obtain the maximum difference in the sway amplitude of the analysis object at different times at the pole position where the analysis object is located during the regional monitoring process and the maximum deviation of the collected values of the analysis object under different sway amplitudes, and mark the maximum difference in the sway amplitude of the analysis object at different times at the pole position where the analysis object is located during the regional monitoring process and the maximum deviation of the collected values of the analysis object under different sway amplitudes as FDCi and ZDPi respectively; collect the deviation of the placement angle movement of the pole position where the analysis object is located during the regional monitoring process, and mark the deviation of the placement angle movement of the pole position where the analysis object is located during the regional monitoring process as YDPi; where the pole position refers to the corresponding part of the pole on which the monitoring sensor is installed;

[0036] Through the formula the position setting analysis coefficient Xi of the analysis object during the area monitoring process is obtained, where f1, f2, and f3 are all preset proportionality coefficients, and f1 > f2 > f3 > 0;

[0037] Compare the position setting analysis coefficient Xi of the analysis object during the area monitoring process with the position setting analysis coefficient threshold:

[0038] If the position setting analysis coefficient Xi of the analysis object during the area monitoring process exceeds the position setting analysis coefficient threshold, it is determined that the position setting analysis of the corresponding analysis object is unqualified, a position setting abnormal signal is generated and the position setting abnormal signal is sent to the administrator through the human-computer interaction terminal; the administrator re-sets the position of the corresponding analysis object; if the position setting analysis coefficient Xi of the analysis object during the area monitoring process does not exceed the position setting analysis coefficient threshold, it is determined that the position setting analysis of the corresponding analysis object is qualified, a position setting normal signal is generated and the position setting normal signal is sent to the administrator through the human-computer interaction terminal;

[0039] After the analysis object passes the position setting detection, the operation detection module runs to perform operation detection on the real-time running analysis object to ensure that the analysis object maintains a qualified operation efficiency during use, improving the numerical accuracy of area monitoring;

[0040] Obtain the increase span of the snow accumulation amount of the sensing component during the real-time operation of the analysis object and the maximum deviation value of the environmental monitoring values at adjacent moments of the analysis object, and compare the increase span of the snow accumulation amount of the sensing component during the real-time operation of the analysis object and the maximum deviation value of the environmental monitoring values at adjacent moments of the analysis object with the snow accumulation amount increase span threshold and the numerical maximum deviation value threshold respectively: Among them, the sensing component refers to that when the monitoring sensor monitors the snow amount, it senses the blowing of snow particles by the sensing component, which belongs to the publicly known prior art;

[0041] If the increase span of the snow accumulation amount of the sensing component during the real-time operation of the analysis object exceeds the snow accumulation amount increase span threshold, or the maximum deviation value of the environmental monitoring values at adjacent moments of the analysis object exceeds the numerical maximum deviation value threshold, it is determined that the real-time operation detection of the analysis object is qualified, a real-time operation detection qualified signal is generated and the real-time operation detection qualified signal is sent to the administrator through the human-computer interaction terminal;

[0042] If the increase span of the snow accumulation amount in the induction component during the real-time operation of the analysis object does not exceed the snow accumulation amount increase span threshold, and the maximum deviation value of the environmental monitoring values at adjacent moments of the analysis object does not exceed the numerical maximum deviation value threshold, it is determined that the real-time operation detection of the analysis object is unqualified, a real-time operation detection unqualified signal is generated, and the real-time operation detection unqualified signal is sent to the administrator through the human-computer interaction terminal; the administrator performs operation and maintenance on the corresponding analysis object;

[0043] When the analysis object is under maintenance, the operation and maintenance management module performs operation and maintenance detection on the analysis object to determine whether the real-time state of the analysis object during the maintenance process is qualified, so as to determine whether the analysis object needs to be maintained during the maintenance process, accurately improving the maintenance efficiency of the analysis object and preventing the low maintenance efficiency of the analysis object from causing a low maintenance decision-making efficiency, resulting in an inability to control the maintenance cost;

[0044] Mark the analysis object to be maintained as an object with a fault. Collect the shortening speed of the maintenance cycle during the operation of the object with a fault and the shortest fault generation duration after the current maintenance of the object with a fault, and compare the shortening speed of the maintenance cycle during the operation of the object with a fault and the shortest fault generation duration after the current maintenance of the object with a fault with the cycle shortening speed threshold and the shortest fault generation duration threshold respectively:

[0045] If the shortening speed of the maintenance cycle of the object with a fault during operation exceeds the cycle shortening speed threshold, or the shortest fault generation duration after the current maintenance of the object with a fault exceeds the shortest fault generation duration threshold, it is determined that the corresponding object with a fault needs to be taken out of service for maintenance after the current maintenance cycle ends, a take-out-of-service maintenance signal is generated, and the take-out-of-service maintenance signal is sent to the administrator through the human-computer interaction terminal; the administrator records the collected data of the corresponding sub-object with a fault and then conducts a shutdown and rectification;

[0046] If the shortening speed of the maintenance cycle of the object with a fault during operation does not exceed the cycle shortening speed threshold, and the shortest fault generation duration after the current maintenance of the object with a fault does not exceed the shortest fault generation duration threshold, it is determined that the corresponding object with a fault can continue to run after the current maintenance cycle ends, a continuous operation signal is generated, and the continuous operation signal is sent to the administrator through the human-computer interaction terminal;

[0047] Embodiment 2

[0048] After the detection platform completes the detection of the analysis object, it generates an environmental monitoring signal and sends the environmental monitoring signal to the environmental monitoring module. After receiving the environmental monitoring signal, the environmental monitoring module takes the currently running analysis object as a data collection point and conducts environmental monitoring based on the data collection at the data collection point, improving the accuracy of regional monitoring. At the same time, it ensures that all the analysis objects for regional monitoring are in a qualified operating state, greatly improving the work efficiency of regional environmental monitoring.

[0049] Obtain the increase in snow storage volume at the same location in the current area and the maximum snow volume difference between the top snow storage and the bottom snow storage at the same location according to the data collection point, and compare the increase in snow storage volume at the same location in the current area and the maximum snow volume difference between the top snow storage and the bottom snow storage at the same location with the increase threshold of snow storage volume increase and the maximum snow volume difference threshold respectively:

[0050] If the increase in snow storage volume at the same location in the current area exceeds the increase threshold of snow storage volume increase, or the maximum snow volume between the top snow storage and the bottom snow storage at the same location exceeds the maximum snow volume difference threshold, it is determined that there is an environmental risk in the corresponding area, an environmental warning signal is generated and the environmental warning signal is sent to the administrator through the human-computer interaction terminal; the administrator conducts environmental control while monitoring the corresponding area.

[0051] If the increase in snow storage volume at the same location in the current area exceeds the increase threshold of snow storage volume increase, and the maximum snow volume between the top snow storage and the bottom snow storage at the same location exceeds the maximum snow volume difference threshold, it is determined that there is an environmental danger in the corresponding area, an environmental alarm signal is generated and the environmental alarm signal is sent to the administrator through the human-computer interaction terminal, and the administrator conducts environmental prevention and control on the corresponding area, such as avalanche prevention and control.

[0052] If the increase in snow storage volume at the same location in the current area does not exceed the increase threshold of snow storage volume increase, and the maximum snow volume between the top snow storage and the bottom snow storage at the same location does not exceed the maximum snow volume difference threshold, it is determined that the environmental detection in the corresponding area is normal, an environmental normal signal is generated and the environmental normal signal is sent to the administrator through the human-computer interaction terminal.

[0053] When the present invention is in use, after the monitoring sensor is put into use, the position setting module in the detection platform conducts position setting detection on the monitoring sensor put into use in real time. After the analysis object passes the position setting detection, the operation detection module conducts operation detection on the analysis object running in real time. When the analysis object is under maintenance, the operation and maintenance management module conducts operation and maintenance detection on the analysis object. After the detection platform completes the detection of the analysis object, it generates an environmental monitoring signal and sends the environmental monitoring signal to the environmental monitoring module. After receiving the environmental monitoring signal, the environmental monitoring module takes the currently running analysis object as a data collection point and conducts environmental monitoring based on the data collection at the data collection point.

[0054] The above formulas are all obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value. The coefficients in the formula are set by those skilled in the art according to the actual situation. The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principle and practical application of the present invention, so that those skilled in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A wind and snow flow monitoring sensor operation detection system based on data analysis, characterized in that: Including detection platform, environmental monitoring module and human-computer interaction terminal; After the monitoring sensor is put into use, the position setting module in the detection platform performs a position setting test on the monitoring sensor put into use in real time. After the analysis object passes the position setting test, the operation detection module performs an operation test on the analysis object running in real time. When the analysis object is maintained, the operation and maintenance management module performs an operation and maintenance test on the analysis object. After the detection platform completes the detection of the analysis object, it generates an environmental monitoring signal and sends the environmental monitoring signal to the environmental monitoring module. After receiving the environmental monitoring signal, the environmental monitoring module uses the currently running analysis object as a data collection point, and performs environmental monitoring based on the data collected at the data collection point.

2. The wind and snow flow monitoring sensor operation detection system based on data analysis according to claim 1 is characterized in that: The operation process of the position setting module is as follows: The monitoring sensor is marked as a setting object, and the setting number i is set, i is a natural number greater than 1. After the analysis object completes the position setting and is put into use, the maximum difference in the shaking amplitude of the analysis object at different times at the pole position where the analysis object is located during the regional monitoring process and the maximum deviation of the collected values ​​of the analysis object under different shaking amplitudes are obtained; the placement angle movement deviation of the pole position where the analysis object is located during the regional monitoring process is collected; the position of the analysis object in the regional monitoring process is obtained through analysis to set the analysis coefficient; Compare the position setting analysis coefficient of the analysis object during regional monitoring with the position setting analysis coefficient threshold: If the position setting analysis coefficient of the analysis object exceeds the position setting analysis coefficient threshold during the regional monitoring process, the position setting analysis of the corresponding analysis object is judged to be unqualified, a position setting abnormality signal is generated and the position setting abnormality signal is sent to the administrator through the human-computer interaction terminal; The administrator will reset the position of the corresponding analysis object; if the position setting analysis coefficient of the analysis object does not exceed the position setting analysis coefficient threshold during the regional monitoring process, the position setting analysis of the corresponding analysis object is judged to be qualified, and a normal position setting signal is generated and sent to the administrator through the human-computer interaction terminal.

3. The wind and snow flow monitoring sensor operation detection system based on data analysis according to claim 1 is characterized in that: The operation process of running the detection module is as follows: The increase span of the amount of snow stored in the sensing component during the real-time operation of the analysis object and the maximum deviation value of the environmental monitoring values ​​of the analysis object at adjacent times are obtained, and the increase span of the amount of snow stored in the sensing component during the real-time operation of the analysis object and the maximum deviation value of the environmental monitoring values ​​of the analysis object at adjacent times are compared with the snow amount increase span threshold and the value maximum deviation threshold respectively: If the increase span of the snow storage amount of the sensing component during the real-time operation of the analysis object exceeds the snow storage amount increase span threshold, or the maximum deviation value of the environmental monitoring values ​​of the analysis object at adjacent moments exceeds the maximum deviation value threshold, then the real-time operation detection of the analysis object is determined to be qualified, and a real-time operation detection qualified signal is generated and sent to the administrator through the human-computer interaction terminal; If the increase span of the snow storage amount of the sensing component during the real-time operation of the analysis object does not exceed the snow storage amount increase span threshold, and the maximum deviation value of the environmental monitoring values ​​of the analysis object at adjacent moments does not exceed the maximum deviation value threshold, then the real-time operation detection of the analysis object is determined to be unqualified, a real-time operation detection unqualified signal is generated, and the real-time operation detection unqualified signal is sent to the administrator through the human-computer interaction terminal; The administrator will perform operation and maintenance on the corresponding analysis objects.

4. The wind and snow flow monitoring sensor operation detection system based on data analysis according to claim 1 is characterized in that: The operation process of the operation and maintenance management module is as follows: The analysis object to be maintained is marked as a fault object, and the maintenance cycle shortening speed of the fault object during operation and the shortest fault generation time after the current maintenance of the fault object are collected. The maintenance cycle shortening speed of the fault object during operation and the shortest fault generation time after the current maintenance of the fault object are compared with the cycle shortening speed threshold and the shortest fault generation time threshold respectively: If the maintenance cycle shortening speed of the fault object during operation exceeds the cycle shortening speed threshold, or the shortest fault generation time after the current maintenance of the fault object is completed exceeds the shortest fault generation time threshold, it is determined that the corresponding fault object needs to be shut down for maintenance after the current maintenance cycle ends, and a shutdown maintenance signal is generated and sent to the administrator through the human-computer interaction terminal; If the maintenance cycle shortening speed of the faulty object during operation does not exceed the cycle shortening speed threshold, and the shortest fault generation duration after the current maintenance of the faulty object is completed does not exceed the shortest fault generation duration threshold, then it is determined that the corresponding faulty object can continue to run after the current maintenance cycle ends, and a continuous operation signal is generated and sent to the administrator through the human-computer interaction terminal.

5. The wind and snow flow monitoring sensor operation detection system based on data analysis according to claim 1 is characterized in that: The operation process of the environmental monitoring module is as follows: According to the data collection points, the increase in snow accumulation at the same location in the current area and the maximum snow amount difference between the top snow and the bottom snow at the same location are obtained, and the increase in snow accumulation at the same location in the current area and the maximum snow amount difference between the top snow and the bottom snow at the same location are compared with the snow accumulation increase threshold and the maximum snow amount difference threshold respectively.

6. The wind and snow flow monitoring sensor operation detection system based on data analysis according to claim 5 is characterized in that: If the increase in the amount of snow at the same location in the current area exceeds the snow increase threshold, or the maximum amount of snow at the top and the bottom of the snow at the same location exceeds the maximum snow difference threshold, it is determined that there is an environmental risk in the corresponding area, and an environmental warning signal is generated and sent to the administrator through the human-computer interaction terminal; If the increase in the amount of snow at the same location in the current area exceeds the snow increase threshold, and the maximum amount of snow at the top and the bottom of the snow at the same location exceeds the maximum snow difference threshold, it is determined that there is an environmental hazard in the corresponding area, and an environmental alarm signal is generated and sent to the administrator through the human-computer interaction terminal; If the increase in the amount of snow at the same location in the current area does not exceed the snow amount increase threshold, and the maximum amount of snow at the top snow and the bottom snow at the same location does not exceed the maximum snow amount difference threshold, then it is determined that the environmental detection in the corresponding area is normal, and a normal environment signal is generated and sent to the administrator through the human-computer interaction terminal.

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