CN118053275B - Operation management system of laser methane alarm - Google Patents
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Abstract
The invention discloses a laser methane alarm operation management system, which relates to the technical field of alarm operation management and comprises a connection judging module, a monitoring analysis module, a light source interference evaluation module, a comprehensive analysis module, an abnormality monitoring module and a grading module; the environment data reliability is ensured by monitoring the connection condition of the environment sensor and the data acquisition system, then the power supply condition, the data acquisition capacity and the running state of the laser methane alarm are evaluated, the laser methane alarm is comprehensively analyzed, the reliability of the monitoring result is ensured by detecting the influence of an external light source on the data accuracy, the sensitivity of the laser methane alarm is evaluated by the comprehensive analysis module, the sensitivity abnormality is monitored and recorded by the abnormality monitoring module, the subsequent processing is guided, the laser methane alarm is classified according to the abnormality and the risk by the classification module, the overhaul priority is determined, the problems of the laser methane alarm are timely found and solved, and the safety and the reliability are improved.
Description
Technical Field
The invention relates to the technical field of alarm operation management, in particular to a laser methane alarm operation management system.
Background
The laser methane alarm operation management system is an advanced gas monitoring system, and the methane concentration of a potential leakage risk area is monitored in real time through a distributed laser methane sensor network. The system has real-time alarm and alarm response mechanisms, supports remote monitoring and control, records historical data for post-hoc analysis, and can automatically execute emergency measures, such as closing an air valve or starting a ventilation system, so as to ensure high effect on methane leakage events. The risk monitoring equipment for gas leakage in adjacent underground spaces of urban underground pipe networks is mainly arranged in an inspection well, and is often influenced by various disaster climatic environments in the actual use process, however, the change of the monitoring environments can lead to the problems that monitoring data are inaccurate and monitoring sensitivity is reduced, so that the accurate measurement of methane concentration is influenced.
Disclosure of Invention
The invention aims to provide a laser methane alarm operation management system which aims to solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: a laser methane alarm operation management system is characterized in that: the system comprises a connection judging module, a monitoring analysis module, a light source interference evaluation module, a comprehensive analysis module, an abnormality monitoring module and a grading module;
And a connection judging module: monitoring the surrounding environment of the laser methane alarm by using an environment monitoring sensor, integrating the environment data monitored in real time into a management system of the laser methane alarm, and judging whether the environment monitoring sensor is connected with a data acquisition system or not through a Ping command;
And a monitoring and analyzing module: when the environment monitoring sensor is in a connection state with the data acquisition system, analyzing the power supply condition of the laser methane alarm, and evaluating the power supply abnormality degree of the laser methane alarm; analyzing the operation state of the laser methane alarm, and judging the fluctuation index of the methane data acquisition capacity of the laser methane alarm;
A light source interference evaluation module: judging the interference degree of an external light source on the accuracy of monitoring data of the laser methane alarm when the surrounding environment of the laser methane alarm changes;
And the comprehensive analysis module is used for: comprehensively analyzing the power supply abnormality degree, the acquired capability fluctuation index and the interference degree of the accuracy of the monitoring data, and evaluating the sensitivity of the laser methane alarm when monitoring methane gas;
An anomaly monitoring module: when the sensitivity of the laser methane alarm is abnormal during monitoring methane gas, acquiring the abnormal time proportion of the laser methane alarm at the moment, judging the data integration degree between the laser methane alarm and associated equipment, and evaluating the communication interference index of the laser methane alarm;
And a grading module: and comprehensively analyzing the abnormal time proportion and the communication interference index of the laser methane alarm, dividing the risk level of the fault of the laser methane alarm, and determining the overhaul priority of the laser methane alarm.
In a preferred embodiment, in the connection judging module, judging whether the environment monitoring sensor and the data acquisition system are connected or not through a Ping command;
Sending a Ping command, setting a timing task in a data acquisition system to periodically send the Ping command to an environment monitoring sensor;
ping command reception: the environment monitoring sensor monitors a network port and waits for a Ping command from the data acquisition system;
upon receipt of the Ping command, the environmental monitoring sensor responds immediately;
After the data acquisition system receives the response from the environment monitoring sensor, checking the content of the response to ensure that the response contains expected confirmation information;
If the connection is established successfully, the system sends a notice of successful connection, and sends a normal connection signal at the moment; if the connection establishment fails, the system does not receive a response, and sends out a communication abnormal signal to remind an operator to check the network connection and the sensor state.
In a preferred embodiment, in the monitoring and analyzing module, the power supply abnormality degree of the laser methane alarm is evaluated, and the fluctuation index of the acquisition capacity of the laser methane alarm on methane data is judged;
The method for acquiring the power supply abnormality degree comprises the following steps: monitoring the power supply voltage of a laser methane alarm, determining input variables for calculating the degree of power supply abnormality, defining fuzzy sets for each input variable, and dividing the fuzzy sets into a plurality of fuzzy sections;
Carrying out fuzzy description on the relation between the input variable and the power supply abnormality degree, wherein each fuzzy rule describes the fuzzy relation between the input variable and the power supply abnormality degree under one condition;
For each input variable, blurring the input variable into a corresponding fuzzy set according to the actual value of the input variable, mapping the actual value to each fuzzy interval, and calculating the membership degree of the fuzzy interval;
Applying the blurred input variable to each fuzzy rule, for each rule, carrying out intersection operation on the membership of the input variable and the membership of the condition part in the rule, and calculating the matching degree of the membership;
Combining the matching degree and the rule output parts, calculating the activation degree of each rule, and combining all the activated rule output parts to obtain the fuzzy power supply abnormality degree;
Using a central rule to take a central point of a weighted average value of membership degrees of a fuzzy output result as a specific value of the abnormality degree, namely the power supply abnormality degree;
the acquisition method of the acquisition capability fluctuation index comprises the following steps: obtaining methane concentration values over a period of s Establishing a methane concentration value set==，And summing the collected methane concentration data for a positive integer greater than 0, dividing the sum by the number of data points to obtain an average value of the methane concentration, calculating the difference between the methane value of each data point and the average value of the methane concentration, summing the difference, calculating the variance, and squaring the variance to obtain a standard deviation, namely the fluctuation index of the methane data acquisition capacity of the laser methane alarm.
In a preferred embodiment, in the light source interference evaluation module, the interference degree of an external light source on the accuracy of monitoring data of the laser methane alarm is evaluated, and judgment is performed by calculating a monitoring data deviation value;
The acquisition method of the monitoring data deviation value comprises the following steps: and acquiring monitoring data of the laser methane alarm under the condition of no external light source interference and under the condition of external light source interference in the k time period, respectively establishing an external light source-free monitoring data set and an external light source-free monitoring data set, comparing the monitoring data of the same time points in the two sets, and calculating a monitoring data deviation value of each time point.
In a preferred embodiment, in the integrated analysis module, the sensitivity of the laser methane alarm in monitoring methane gas is evaluated, in particular:
normalizing the power supply abnormality degree, acquiring a power fluctuation index and a monitoring data deviation value, and calculating a sensitivity coefficient of the laser methane alarm when monitoring methane gas by the power supply abnormality degree after normalization;
Comparing the sensitivity coefficient of the laser methane alarm when monitoring methane gas with a sensitivity threshold, and sending out a device normal signal when the sensitivity coefficient of the laser methane alarm when monitoring methane gas is larger than or equal to the sensitivity threshold; and if the sensitivity coefficient of the laser methane alarm when monitoring methane gas is smaller than the sensitivity threshold, sending out an equipment abnormality signal.
In a preferred embodiment, in the abnormality monitoring module, acquiring an abnormal time proportion of the laser methane alarm, and evaluating a communication interference index of the laser methane alarm;
The method for acquiring the abnormal time proportion comprises the following steps: the method comprises the steps of identifying a time period in which sensitivity abnormality occurs when a laser methane alarm monitors methane gas through data recorded by a monitoring system, obtaining the number of abnormal devices in the abnormal time period, marking the abnormal devices, obtaining total abnormal time of the abnormal devices in the abnormal time period, calculating average abnormal time of each laser methane alarm device, analyzing the average abnormal time and standard abnormal time, and calculating the abnormal time proportion; the method for acquiring the communication interference index comprises the following steps:
The method for acquiring the communication interference index comprises the following steps: marking equipment associated with the laser methane alarm, acquiring real-time communication frequency between the laser methane alarm and the associated equipment, acquiring preset standard communication frequency between the laser methane alarm and the corresponding associated equipment, analyzing the real-time communication frequency between the laser methane alarm and the associated equipment and the standard communication frequency, and calculating the communication interference index of the laser methane alarm.
In a preferred embodiment, in the grading module, the abnormal time proportion and the communication interference index of the laser methane alarm are comprehensively analyzed, and the risk grade of the fault of the laser methane alarm is graded, specifically:
And carrying out normalization processing on the abnormal time proportion and the communication interference index, and calculating the risk coefficient of the failure of the laser methane alarm through the abnormal time proportion and the communication interference index after normalization processing.
In a preferred embodiment, comparing the acquired risk coefficient of the failure of the laser methane alarm with a gradient standard threshold, wherein the gradient standard threshold comprises a first standard threshold and a second standard threshold, the first standard threshold is smaller than the second standard threshold, and comparing the risk coefficient of the failure of the laser methane alarm with the first standard threshold and the second standard threshold respectively;
If the risk coefficient of the failure of the laser methane alarm is larger than a second standard threshold, marking the laser methane alarm as high-risk equipment, and generating a first-level early warning signal at the moment;
If the risk coefficient of the failure of the laser methane alarm is larger than or equal to a first standard threshold value and smaller than or equal to a second standard threshold value, marking the laser methane alarm as medium risk equipment, and generating a second-level early warning signal at the moment;
If the risk coefficient of the fault of the laser methane alarm is smaller than a first standard threshold, marking the laser methane alarm as low-risk equipment, and generating a three-level early warning signal at the moment.
In the technical scheme, the invention has the technical effects and advantages that:
1. The invention evaluates the running state and the environmental condition of the laser methane alarm in real time by integrating the environmental monitoring sensor data, and comprehensively evaluates the performance of the laser methane alarm from multiple aspects. By analyzing factors such as power supply condition, data acquisition capability, interference degree of external light source and the like, the sensitivity of the laser methane alarm when monitoring methane gas is effectively evaluated, and the monitoring accuracy and reliability are improved. The comprehensive analysis method can discover the abnormal condition of the laser methane alarm more timely and accurately, and provide more comprehensive and reliable monitoring data and early warning information, thereby effectively improving the safety management level and the emergency treatment capability. Through timely finding out problems and comprehensive analysis, potential safety accidents can be prevented, and the safety of personnel and equipment is ensured.
2. According to the invention, when the sensitivity of the laser methane alarm is abnormal during monitoring methane gas, key indexes such as abnormal time proportion and communication interference index evaluation are obtained, and the risk of the laser methane alarm can be effectively evaluated and graded through comprehensively analyzing the data. According to the evaluation result of the risk, the overhaul priority of the laser methane alarm can be determined, and equipment with higher risk is subjected to priority maintenance and repair. The maintenance strategy can ensure the normal operation of the monitoring system to the greatest extent, reduce the possibility of fault occurrence and improve the reliability and stability of the system. Maintenance efficiency can be optimized, maintenance cost can be reduced, and operation efficiency and safety of the monitoring system can be further improved through reasonable allocation of maintenance resources.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a block diagram of a system according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1 and 2, the operation management system for a laser methane alarm according to the present embodiment includes a connection judging module, a monitoring analysis module, a light source interference evaluating module, a comprehensive analysis module, an abnormality monitoring module and a grading module;
And a connection judging module: monitoring the surrounding environment of the laser methane alarm by using an environment monitoring sensor, integrating the environment data monitored in real time into a management system of the laser methane alarm, and judging whether the environment monitoring sensor is connected with a data acquisition system or not through a Ping command;
And a monitoring and analyzing module: when the environment monitoring sensor is in a connection state with the data acquisition system, analyzing the power supply condition of the laser methane alarm, and evaluating the power supply abnormality degree of the laser methane alarm; analyzing the operation state of the laser methane alarm, and judging the fluctuation index of the methane data acquisition capacity of the laser methane alarm;
A light source interference evaluation module: judging the interference degree of an external light source on the accuracy of monitoring data of the laser methane alarm when the surrounding environment of the laser methane alarm changes;
And the comprehensive analysis module is used for: comprehensively analyzing the power supply abnormality degree, the acquired capability fluctuation index and the interference degree of the accuracy of the monitoring data, and evaluating the sensitivity of the laser methane alarm when monitoring methane gas;
An anomaly monitoring module: when the sensitivity of the laser methane alarm is abnormal during monitoring methane gas, acquiring the abnormal time proportion of the laser methane alarm at the moment, judging the data integration degree between the laser methane alarm and associated equipment, and evaluating the communication interference index of the laser methane alarm;
And a grading module: and comprehensively analyzing the abnormal time proportion and the communication interference index of the laser methane alarm, dividing the risk level of the fault of the laser methane alarm, and determining the overhaul priority of the laser methane alarm.
In the connection judging module, the environment monitoring sensor is used for monitoring the surrounding environment of the laser methane alarm, environmental data monitored in real time are integrated into a management system of the laser methane alarm, and whether the environment monitoring sensor is connected with a data acquisition system or not is judged through a Ping command, specifically:
environmental monitoring sensors are mounted in strategic locations around the laser methane alarm to ensure that environmental parameters such as temperature, humidity, etc. can be accurately monitored.
The data acquisition system is configured to ensure that real-time data from the environmental monitoring sensors can be received and integrated into the management system of the laser methane alarm.
Judging whether the environment monitoring sensor is connected with the data acquisition system or not through the Ping command mainly comprises the following steps:
Ping command transmission, setting a timing task or timer in the data acquisition system to periodically transmit Ping commands to the environmental monitoring sensor.
An ICMP Echo request is sent to the IP address of the environmental monitoring sensor using a network communication library or tool, such as a socket library of Python or a ping command provided by the operating system.
Ping command reception: the environment monitoring sensor monitors a network port and waits for a Ping command from the data acquisition system.
Upon receipt of the Ping command, the environmental monitoring sensor will respond immediately.
And checking the connection state, namely checking the content of the response after the data acquisition system receives the response from the environment monitoring sensor, and ensuring that the response contains expected confirmation information so as to confirm whether the connection is normally established.
The time stamp of the response may also be checked to ensure that the response is received within a predetermined time to determine the stability and delay of the connection.
And feeding back the connection state, and sending feedback information of the connection state to a management system of the laser methane alarm by the data acquisition system according to the result of the Ping command.
If the connection is established successfully, the system may send a notice of successful connection, which indicates that the connection between the environment monitoring sensor and the data acquisition system is normal, and then sends a normal connection signal;
If the connection establishment fails, the system does not receive a response, and sends out a communication abnormal signal to remind an operator to check the network connection and the sensor state.
When the environment monitoring sensor is in a connection state with the data acquisition system, the power supply condition of the laser methane alarm is analyzed, and the power supply abnormality degree of the laser methane alarm is estimated, specifically:
The acquisition of the power supply abnormality degree has the following effects on evaluating the sensitivity of the laser methane alarm when monitoring methane gas:
The abnormal power supply may cause the sensitivity of the laser methane alarm to be reduced or the monitoring performance to be reduced, thereby affecting the accurate monitoring of methane gas. By evaluating the power supply abnormality degree, the power supply problem can be timely adjusted or repaired, the sensitivity and monitoring performance of the laser methane alarm are improved, and the existence of methane gas can be timely and accurately monitored.
Methane gas is inflammable and explosive gas and has important significance for timely monitoring. The power supply abnormality degree can be obtained to help find the power supply problem of the laser methane alarm in time, ensure the normal operation of equipment, ensure that the monitoring system can be always kept in a working state, and improve the safety.
The power supply state of the laser methane alarm can be continuously monitored and evaluated by periodically acquiring the power supply abnormality degree, and the maintenance management strategy of equipment is facilitated to be optimized. According to the variation trend of the degree of abnormality, a corresponding maintenance plan can be formulated, maintenance and repair can be performed in time, and the service life of the equipment is prolonged.
The method for acquiring the power supply abnormality degree comprises the following steps: monitoring the power supply voltage of the laser methane alarm through voltage monitoring equipment or a sensor, and determining input variables for calculating the degree of power supply abnormality, wherein the input variables comprise a plurality of power supply parameters such as voltage, current, frequency and the like, and the change rate of the power supply parameters;
Defining fuzzy sets for each input variable, dividing the fuzzy sets into a plurality of fuzzy sections such as low, medium and high grade, for example, dividing voltage into low-voltage, normal and high-voltage fuzzy sets, and dividing current and frequency in a similar way;
Fuzzification describing the relation between the input variable and the power supply abnormality degree, wherein each fuzzification rule describes the fuzzification relation between the input variable and the power supply abnormality degree in one case, for example, if the voltage is high and the current is low, the power supply abnormality degree is medium;
For each input variable, blurring the input variable into a corresponding fuzzy set according to the actual value of the input variable, mapping the actual value to each fuzzy interval, and calculating the membership degree of the fuzzy interval;
Applying the blurred input variable to each fuzzy rule, for each rule, carrying out intersection operation on the membership of the input variable and the membership of the condition part in the rule, and calculating the matching degree of the membership;
Combining the matching degree and the rule output parts, calculating the activation degree of each rule, and combining all the activated rule output parts to obtain the fuzzy power supply abnormality degree;
Using a central rule to take a central point of a weighted average value of membership degrees of a fuzzy output result as a specific value of the abnormality degree, namely the power supply abnormality degree;
the larger the power supply abnormality degree value is, the poorer the sensitivity of the laser methane alarm is when methane gas is monitored. Because the abnormal power supply can cause unstable working state or faults of the laser methane alarm, the accurate monitoring of methane gas is affected, and the method specifically comprises the following steps:
if the power supply abnormality level is large, the power supply abnormality level may mean that the power supply voltage received by the laser methane alarm is too low to provide enough power to support the normal operation of the laser methane alarm. This can lead to unstable operation of the sensor, processor or communication device of the laser methane alarm, thereby affecting sensitive monitoring of methane gas.
A large power supply abnormality level may indicate a large fluctuation in the power supply voltage, which may cause frequent switching or instability of the operating state of the laser methane alarm, affecting its monitoring sensitivity to methane gas.
In extreme cases, a large value of the degree of abnormality in power supply may indicate that the power supply line is interrupted or completely cut off. This can result in the laser methane alarm losing power entirely and failing to perform any monitoring work.
The operation state of the laser methane alarm is analyzed, and the fluctuation index of the acquisition capacity of the laser methane alarm to methane data is judged, specifically:
the main function of acquiring the fluctuation index of the acquisition capacity of the laser methane alarm on methane data is to evaluate the sensitivity of the laser methane alarm when monitoring methane gas. The specific functions include:
The stability of the methane data acquisition capacity of the laser methane alarm can be objectively evaluated by calculating the fluctuation index of the methane data acquisition capacity of the laser methane alarm. A smaller fluctuation index indicates that the laser methane alarm can stably and accurately acquire methane data, and a larger fluctuation index may indicate that the laser methane alarm has performance problems and unstable monitoring capability.
The change in the fluctuation index can be used to detect anomalies in the laser methane alarm when monitoring methane gas. The suddenly increased fluctuation index may indicate that the laser methane alarm encounters abnormal situations such as power supply problems, sensor faults or environmental changes, and needs to be timely investigated and processed to ensure the accuracy and reliability of the monitoring data.
In summary, the fluctuation index of the acquisition capability of the laser methane alarm on methane data plays an important role in judging the sensitivity of the laser methane alarm when monitoring methane gas, and can help ensure the normal operation of equipment, discover abnormal conditions in time and take corresponding measures, so that the reliability and safety of a monitoring system are improved.
The acquisition method of the acquisition capability fluctuation index comprises the following steps: obtaining methane concentration values over a period of sEstablishing a methane concentration value set==，Summing the collected methane concentration data for positive integers greater than 0, dividing the data by the number of data points to obtain an average value of methane concentration, calculating the difference between the methane value of each data point and the average value of methane concentration, summing the differences, calculating variance, and squaring the variance to obtain a standard deviation, namely the fluctuation index of the methane data acquisition capacity of the laser methane alarm;
The greater the number of fluctuation indexes of the acquisition capacity of the laser methane alarm for methane data generally means that the poorer the sensitivity of the laser methane alarm when monitoring methane gas. Specifically:
An increase in the fluctuation index value indicates an increase in the fluctuation degree of methane data, i.e., a larger amplitude of change in the monitored data. This may indicate that the monitoring system of the laser methane alarm is unstable, and not timely or accurate to the changing reaction of methane gas in the environment.
A larger fluctuation index may mean that the accuracy of the laser methane alarm in monitoring methane gas is reduced. The fluctuation index increase may cause a larger fluctuation range of the monitoring data, so that the actual change of the methane concentration cannot be accurately judged, thereby affecting the accuracy of the monitoring result.
Thus, the greater the fluctuation index value of the laser methane alarm for methane data acquisition capability, the poorer the sensitivity of the laser methane alarm in monitoring methane gas is, and the accuracy and reliability of the monitoring data may be affected.
Judging the interference degree of an external light source on the accuracy of monitoring data of the laser methane alarm when the surrounding environment of the laser methane alarm changes;
The external light source may scatter the laser beam in the air so that it is not completely concentrated on the target. This can result in instability or degradation of the reflected signal received by the laser methane alarm, thereby affecting the accuracy of the detection.
The interference of the external light source on the laser methane alarm is mainly because the laser methane alarm uses a laser technology to detect the methane gas concentration. These laser techniques typically rely on the reflection or absorption of a laser beam after it has been emitted and detected to interact with a target (in this case methane gas). Interference from an external light source may affect the propagation and detection of the laser beam and thus the performance of the laser methane alarm.
The interference degree of the external light source on the accuracy of the monitoring data of the laser methane alarm is evaluated, and the monitoring data deviation value can be calculated to judge;
The main function of acquiring the monitoring data deviation value is to evaluate the sensitivity of the laser methane alarm when monitoring methane gas. The specific functions include:
the monitoring data deviation value can reflect the accuracy and stability of the laser methane alarm when monitoring methane gas. A smaller deviation value generally indicates that the laser methane alarm has higher sensitivity and can accurately detect the change of methane gas; a large deviation value may mean that the monitoring performance of the laser methane alarm is problematic, and the monitoring result may be inaccurate or unstable.
A sudden increase or change in the monitored data bias value may indicate that the laser methane alarm has encountered an abnormal condition, such as a sensor malfunction, an environmental change, or an external disturbance. By monitoring the data deviation value, abnormal conditions can be found in time and corresponding measures can be taken for correction or maintenance so as to ensure the normal operation of the laser methane alarm.
The acquisition method of the monitoring data deviation value comprises the following steps: acquiring monitoring data of the laser methane alarm under the condition of no external light source interference and under the condition of external light source interference in a k time period, respectively establishing an external light source-free monitoring data set and an external light source-free monitoring data set, comparing the monitoring data of the same time points in the two sets, and calculating a monitoring data deviation value of each time point, wherein the calculation expression is as follows: In which, in the process, In order to monitor the value of the data bias,Is the monitoring data without the interference of external light source,Is the monitored data in the presence of external light source interference, n is the total number of data points.
The larger the monitored data deviation value, the poorer the sensitivity of the laser methane alarm in monitoring methane gas. Specifically:
An increase in the deviation value means that the difference between the monitored data and the actual situation increases. This may indicate that the laser methane alarm is not accurate enough to monitor methane gas, and cannot accurately reflect the change of methane concentration in the environment, so that a larger error exists in the monitoring result.
An increase in the monitored data bias value may mean a decrease in the sensitivity of the laser methane alarm. The larger deviation value may indicate that the laser methane alarm cannot timely and accurately detect the change of the methane gas concentration, and reflects the reduction of the monitoring sensitivity.
When the deviation value of the monitoring data is large, the laser methane alarm can have false alarm or missing alarm. False alarm means that the laser methane alarm gives an alarm wrongly, and false alarm means that the laser methane alarm fails to find out methane gas leakage in time. The larger deviation value can cause that the monitoring system can not accurately judge whether the methane gas exists or not, and the risk of false alarm or missing alarm is increased.
In summary, the larger the deviation value of the monitoring data, the worse the sensitivity of the laser methane alarm when monitoring methane gas is generally indicated, and the accuracy and reliability of the monitoring result may be affected, thereby increasing the risk of false alarm or missing alarm. Thus, a smaller monitoring data bias value generally means that the laser methane alarm has higher monitoring sensitivity and accuracy.
The power supply abnormality degree, the acquired ability fluctuation index and the interference degree of the monitoring data accuracy are comprehensively analyzed, and the sensitivity of the laser methane alarm in monitoring methane gas is evaluated, specifically:
And carrying out normalization processing on the power supply abnormality degree, acquiring the power fluctuation index and the monitoring data deviation value, and calculating the sensitivity coefficient of the laser methane alarm when monitoring methane gas by the power supply abnormality degree after normalization processing.
For example, the invention can calculate the sensitivity coefficient of the laser methane alarm when monitoring methane gas by adopting the following formula:= In which, in the process, As a coefficient of sensitivity, a reference number,In order to provide the degree of abnormality in the power supply,In order to obtain the capability fluctuation index,In order to monitor the value of the data bias,、To obtain the power supply abnormality degree, the capability fluctuation index and the proportionality coefficient of the monitoring data deviation value0；
The sensitivity coefficient of the laser methane alarm when monitoring methane gas is calculated to be a key index, and the sensitivity coefficient can be used for comparing the performance advantages and disadvantages of different laser methane alarm devices, guiding performance improvement and optimizing a monitoring system. By carrying out normalization processing on the power supply abnormality degree, the acquired capability fluctuation index and the monitoring data deviation value and calculating the sensitivity coefficient, a user can evaluate the monitoring capability of the laser methane alarm device more accurately, so that the performance and reliability of the monitoring system are improved.
Comparing the sensitivity coefficient of the laser methane alarm when monitoring methane gas with a sensitivity threshold, and if the sensitivity coefficient of the laser methane alarm when monitoring methane gas is larger than or equal to the sensitivity threshold, indicating that the higher the sensitivity of the laser methane alarm when monitoring methane gas is, sending out a normal signal of equipment at the moment; if the sensitivity coefficient of the laser methane alarm when monitoring methane gas is smaller than the sensitivity threshold, the lower the sensitivity coefficient of the laser methane alarm when monitoring methane gas is, an equipment abnormality signal is sent out at the moment, and staff should immediately confirm and check abnormality information after receiving the equipment abnormality signal to confirm whether methane gas leaks or other abnormal conditions exist.
In the embodiment, the environment monitoring sensor is used for monitoring the surrounding environment of the laser methane alarm, environmental data monitored in real time are integrated into a management system of the laser methane alarm, whether the environment monitoring sensor is connected with the data acquisition system or not is judged through a Ping command, and when the environment monitoring sensor is connected with the data acquisition system, the power supply condition of the laser methane alarm is analyzed, and the power supply abnormality degree of the laser methane alarm is estimated; the method comprises the steps of analyzing the running state of the laser methane alarm, judging the fluctuation index of the acquisition capacity of the laser methane alarm on methane data, judging the interference degree of an external light source on the accuracy of monitoring data of the laser methane alarm when the surrounding environment of the laser methane alarm changes, comprehensively analyzing the fluctuation index of the acquisition capacity and the interference degree of the accuracy of the monitoring data, evaluating the sensitivity of the laser methane alarm when monitoring methane gas, effectively improving the performance and reliability of the laser methane alarm when monitoring methane gas, providing more comprehensive and accurate monitoring data and early warning information for users, and being beneficial to improving the safety management level and emergency disposal capacity.
Example 2
In the abnormality monitoring module, when the sensitivity of the laser methane alarm is abnormal when methane gas is monitored, acquiring the abnormal time proportion of the laser methane alarm at the moment, judging the data integration degree between the laser methane alarm and associated equipment, and evaluating the communication interference index of the laser methane alarm;
The sensitivity abnormality of the laser methane alarm may be a manifestation of a failure of the equipment itself, and under the long-time working condition of the laser methane alarm, if not found and handled in time, further damage or failure of the equipment may be caused, which affects the normal operation of the monitoring system.
The method for acquiring the abnormal time proportion of the laser methane alarm comprises the following steps:
The maintenance plan of the equipment can be optimized according to the analysis result of the abnormal time proportion. The abnormal time proportion is monitored regularly, so that the equipment fault or abnormal occurrence trend can be recognized, a maintenance plan can be formulated in time, the equipment fault rate can be reduced, and the equipment reliability can be improved.
Maintenance personnel and resources can be reasonably allocated according to the analysis result of the abnormal time proportion, and the maintenance strategy is optimized. In time, the abnormality of the equipment is found, the downtime caused by equipment faults can be reduced, and the operation efficiency and the production efficiency of the equipment are improved.
The method for acquiring the abnormal time proportion comprises the following steps: the data recorded by the monitoring system is used for identifying the time period of sensitivity abnormality of the laser methane alarm when monitoring methane gas, and obtaining the number of abnormal devices in the abnormal time periodAnd is marked with a reference numeral，For positive integers greater than 0, acquiring total abnormal time of abnormal equipment in the abnormal time period, calculating average abnormal time of each laser methane alarm equipment, analyzing the average abnormal time and the standard abnormal time, calculating the abnormal time proportion, and calculating the expression as follows:= In which, in the process, For the proportion of the abnormal time, the abnormal time is,For the total abnormal time period of time,In order to average the time of the anomaly,Is a standard abnormal time;
the greater the proportion of abnormal time, the higher the risk of the laser methane alarm to fail. This is because the abnormal time proportion reflects the proportion of the time in which sensitivity abnormality occurs in the apparatus when monitoring methane gas to the total monitoring time. If this ratio is high, it indicates that the device is in frequent or persistent abnormal condition during operation, which may be indicative of a malfunction, damage or other problem in the device itself.
When the laser methane alarm has sensitivity abnormality, the detection of methane leakage may be delayed or missed, thereby increasing the risk of accident. In addition, sensitivity abnormality may also cause false alarm or missing alarm, so that the monitoring system cannot accurately reflect the real gas concentration condition, thereby affecting the timeliness and effectiveness of safety precautions and emergency treatment measures.
Thus, a larger proportion of abnormal time means a lower stability and reliability of the device and a higher risk of failure. The equipment fault is identified and solved by timely maintenance and overhaul so as to ensure that the monitoring system can stably and reliably run and ensure the safety of personnel and facilities.
Judging the data integration degree between the laser methane alarm and the associated equipment, and evaluating the communication interference index of the laser methane alarm, wherein the communication interference index is specifically as follows:
the method for acquiring the communication interference index comprises the following steps:
The method comprises the steps of acquiring equipment associated with a laser methane alarm, wherein the equipment comprises a sensor, a data acquisition system and a control system, and marking the associated equipment by using x1, x2, … xn and n as positive integers larger than 0 respectively; acquiring real-time communication frequency between the laser methane alarm and the associated equipment, acquiring standard communication frequency between the preset laser methane alarm and the corresponding associated equipment, analyzing the real-time communication frequency between the laser methane alarm and the associated equipment and the standard communication frequency, and calculating a communication interference index of the laser methane alarm;
The larger the communication interference index is, the more frequent the communication abnormal situation between the laser methane alarm and the associated equipment is, and therefore the higher the risk of the laser methane alarm to be in fault is.
When the communication interference index is higher, the laser methane alarm and the associated equipment have more communication anomalies, such as communication interruption, data loss, error data transmission and the like. These communication anomalies may lead to delays, errors, or loss of monitoring data, thereby affecting accurate monitoring and alerting of methane gas, increasing the risk of equipment failure and performance problems.
An increase in the communication interference index may cause unstable data transmission between devices, and even cause disconnection or interruption of communication between devices, thereby affecting the normal operation and performance of the monitoring system. This may lead to delayed detection of methane leakage or concentration changes, increasing the risk of accidents, reducing the reliability and stability of the monitoring system.
Therefore, the greater the communication interference index is, the higher the risk of the laser methane alarm is, and the timely troubleshooting and maintenance are required to ensure the normal operation of the monitoring system and the accuracy of data.
Comprehensively analyzing the abnormal time proportion and the communication interference index of the laser methane alarm, dividing the risk level of the fault of the laser methane alarm, and determining the overhaul priority of the laser methane alarm, wherein the method specifically comprises the following steps:
And carrying out normalization processing on the abnormal time proportion and the communication interference index, and calculating the risk coefficient of the failure of the laser methane alarm through the abnormal time proportion and the communication interference index after normalization processing.
For example, the invention can calculate the risk coefficient of the fault of the laser methane alarm by adopting the following formula:= In which, in the process, As a coefficient of risk (risk factor),For the proportion of the abnormal time, the abnormal time is,In order to provide an index of the interference of the communication,Respectively the abnormal time proportion, the proportion coefficient of communication interference index, and0；
According to the size of the risk coefficient, resources can be reasonably allocated, and equipment with higher risk is preferentially processed. The maintenance efficiency is improved, and the influence of equipment faults on production and safety is reduced.
Comparing the acquired risk coefficient of the fault of the laser methane alarm with a gradient standard threshold, wherein the gradient standard threshold comprises a first standard threshold and a second standard threshold, the first standard threshold is smaller than the second standard threshold, and the risk coefficient of the fault of the laser methane alarm is respectively compared with the first standard threshold and the second standard threshold;
If the risk coefficient of the failure of the laser methane alarm is larger than a second standard threshold value, the risk of the failure of the laser methane alarm is higher, the laser methane alarm is marked as high-risk equipment, and a first-level early warning signal is generated at the moment;
If the risk coefficient of the failure of the laser methane alarm is larger than or equal to a first standard threshold value and smaller than or equal to a second standard threshold value, the risk of the failure of the laser methane alarm is indicated to be at a medium level, the laser methane alarm is marked as medium risk equipment, and a second-level early warning signal is generated at the moment;
If the risk coefficient of the failure of the laser methane alarm is smaller than a first standard threshold value, the risk of the failure of the laser methane alarm is lower, the laser methane alarm is marked as low-risk equipment, and a three-level early warning signal is generated at the moment;
Specifically, the management level of the first-level early warning signal is higher than that of the second-level early warning signal, the management level of the second-level early warning signal is higher than that of the third-level early warning, and the maintenance priority of the laser methane alarm is determined according to the risk level of the equipment mark. In general, high-risk equipment should be overhauled first, then medium-risk equipment and low-risk equipment are overhauled last.
In this embodiment, when the sensitivity of the laser methane alarm when monitoring methane gas is abnormal, the abnormal time proportion of the laser methane alarm at this time is obtained, the data integration degree between the laser methane alarm and the associated equipment is judged, the communication interference index of the laser methane alarm is evaluated, the abnormal time proportion and the communication interference index of the laser methane alarm are comprehensively analyzed, the risk level of the laser methane alarm failing is divided, the maintenance priority of the laser methane alarm is determined, and the maintenance priority of the laser methane alarm can be determined according to the evaluation of the risk. For equipment with higher risk, maintenance can be carried out preferentially so as to ensure the reliability and stability of the monitoring system. By determining the overhaul priority according to the risk level, the allocation of maintenance resources can be optimized, and the maintenance efficiency can be improved. The equipment with higher risk is maintained and repaired in time, so that the possibility of fault occurrence is reduced, and the normal operation of the monitoring system is ensured.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (8)
1. A laser methane alarm operation management system is characterized in that: the system comprises a connection judging module, a monitoring analysis module, a light source interference evaluation module, a comprehensive analysis module, an abnormality monitoring module and a grading module;
And a connection judging module: monitoring the surrounding environment of the laser methane alarm by using an environment monitoring sensor, wherein the monitored environment parameters comprise temperature and humidity, integrating environment data monitored in real time into a management system of the laser methane alarm, and judging whether the environment monitoring sensor is connected with a data acquisition system or not through a Ping command;
And a monitoring and analyzing module: when the environment monitoring sensor is in a connection state with the data acquisition system, analyzing the power supply condition of the laser methane alarm, and evaluating the power supply abnormality degree of the laser methane alarm; analyzing the operation state of the laser methane alarm, and judging the fluctuation index of the methane data acquisition capacity of the laser methane alarm;
A light source interference evaluation module: judging the interference degree of an external light source on the accuracy of monitoring data of the laser methane alarm when the surrounding environment of the laser methane alarm changes;
And the comprehensive analysis module is used for: comprehensively analyzing the power supply abnormality degree, the acquired capability fluctuation index and the interference degree of the accuracy of the monitoring data, and evaluating the sensitivity of the laser methane alarm when monitoring methane gas;
An anomaly monitoring module: when the sensitivity of the laser methane alarm is abnormal during monitoring methane gas, acquiring the abnormal time proportion of the laser methane alarm at the moment, judging the data integration degree between the laser methane alarm and associated equipment, and evaluating the communication interference index of the laser methane alarm;
And a grading module: and comprehensively analyzing the abnormal time proportion and the communication interference index of the laser methane alarm, dividing the risk level of the fault of the laser methane alarm, and determining the overhaul priority of the laser methane alarm.
2. The laser methane alarm operation management system according to claim 1, wherein: in the connection judging module, judging whether the environment monitoring sensor is connected with the data acquisition system or not through a Ping command;
Sending a Ping command, setting a timing task in a data acquisition system to periodically send the Ping command to an environment monitoring sensor;
ping command reception: the environment monitoring sensor monitors a network port and waits for a Ping command from the data acquisition system;
upon receipt of the Ping command, the environmental monitoring sensor responds immediately;
After the data acquisition system receives the response from the environment monitoring sensor, checking the content of the response to ensure that the response contains expected confirmation information;
If the connection is established successfully, the system sends a notice of successful connection, and sends a normal connection signal at the moment; if the connection establishment fails, the system does not receive a response, and sends out a communication abnormal signal to remind an operator to check the network connection and the sensor state.
3. A laser methane alarm operation management system according to claim 2, wherein: in the monitoring and analyzing module, the power supply abnormality degree of the laser methane alarm is evaluated, and the fluctuation index of the methane data acquisition capacity of the laser methane alarm is judged;
The method for acquiring the power supply abnormality degree comprises the following steps: monitoring the power supply voltage of a laser methane alarm, determining input variables for calculating the degree of power supply abnormality, defining fuzzy sets for each input variable, and dividing the fuzzy sets into a plurality of fuzzy sections;
Carrying out fuzzy description on the relation between the input variable and the power supply abnormality degree, wherein each fuzzy rule describes the fuzzy relation between the input variable and the power supply abnormality degree under one condition;
For each input variable, blurring the input variable into a corresponding fuzzy set according to the actual value of the input variable, mapping the actual value to each fuzzy interval, and calculating the membership degree of the fuzzy interval;
Applying the blurred input variable to each fuzzy rule, for each rule, carrying out intersection operation on the membership of the input variable and the membership of the condition part in the rule, and calculating the matching degree of the membership;
Combining the matching degree and the rule output parts, calculating the activation degree of each rule, and combining all the activated rule output parts to obtain the fuzzy power supply abnormality degree;
Using a central rule to take a central point of a weighted average value of membership degrees of a fuzzy output result as a specific value of the abnormality degree, namely the power supply abnormality degree;
the acquisition method of the acquisition capability fluctuation index comprises the following steps: obtaining methane concentration values over a period of s Establishing a methane concentration value set==，And summing the collected methane concentration data for a positive integer greater than 0, dividing the sum by the number of data points to obtain an average value of the methane concentration, calculating the difference between the methane value of each data point and the average value of the methane concentration, summing the difference, calculating the variance, and squaring the variance to obtain a standard deviation, namely the fluctuation index of the methane data acquisition capacity of the laser methane alarm.
4. A laser methane alarm operation management system according to claim 3, wherein: in the light source interference evaluation module, the interference degree of an external light source on the accuracy of monitoring data of the laser methane alarm is evaluated, and judgment is carried out by calculating the deviation value of the monitoring data;
The acquisition method of the monitoring data deviation value comprises the following steps: and acquiring monitoring data of the laser methane alarm under the condition of no external light source interference and under the condition of external light source interference in the k time period, respectively establishing an external light source-free monitoring data set and an external light source-free monitoring data set, comparing the monitoring data of the same time points in the two sets, and calculating a monitoring data deviation value of each time point.
5. The laser methane alarm operation management system according to claim 4, wherein: in the comprehensive analysis module, the sensitivity of the laser methane alarm when monitoring methane gas is evaluated, specifically:
normalizing the power supply abnormality degree, acquiring a power fluctuation index and a monitoring data deviation value, and calculating a sensitivity coefficient of the laser methane alarm when monitoring methane gas by the power supply abnormality degree after normalization;
Comparing the sensitivity coefficient of the laser methane alarm when monitoring methane gas with a sensitivity threshold, and sending out a device normal signal when the sensitivity coefficient of the laser methane alarm when monitoring methane gas is larger than or equal to the sensitivity threshold; and if the sensitivity coefficient of the laser methane alarm when monitoring methane gas is smaller than the sensitivity threshold, sending out an equipment abnormality signal.
6. The laser methane alarm operation management system according to claim 5, wherein: in the abnormality monitoring module, the abnormal time proportion of the laser methane alarm is obtained, and the communication interference index of the laser methane alarm is evaluated;
The method for acquiring the abnormal time proportion comprises the following steps: the method comprises the steps of identifying a time period in which sensitivity abnormality occurs when a laser methane alarm monitors methane gas through data recorded by a monitoring system, obtaining the number of abnormal devices in the abnormal time period, marking the abnormal devices, obtaining total abnormal time of the abnormal devices in the abnormal time period, calculating average abnormal time of each laser methane alarm device, analyzing the average abnormal time and standard abnormal time, and calculating the abnormal time proportion; the method for acquiring the communication interference index comprises the following steps:
The method for acquiring the communication interference index comprises the following steps: marking equipment associated with the laser methane alarm, acquiring real-time communication frequency between the laser methane alarm and the associated equipment, acquiring preset standard communication frequency between the laser methane alarm and the corresponding associated equipment, analyzing the real-time communication frequency between the laser methane alarm and the associated equipment and the standard communication frequency, and calculating the communication interference index of the laser methane alarm.
7. The laser methane alarm operation management system according to claim 6, wherein: in the grading module, the abnormal time proportion and the communication interference index of the laser methane alarm are comprehensively analyzed, and the risk grade of the failure of the laser methane alarm is graded, specifically:
And carrying out normalization processing on the abnormal time proportion and the communication interference index, and calculating the risk coefficient of the failure of the laser methane alarm through the abnormal time proportion and the communication interference index after normalization processing.
8. The laser methane alarm operation management system according to claim 7, wherein:
Comparing the acquired risk coefficient of the fault of the laser methane alarm with a gradient standard threshold, wherein the gradient standard threshold comprises a first standard threshold and a second standard threshold, the first standard threshold is smaller than the second standard threshold, and comparing the risk coefficient of the fault of the laser methane alarm with the first standard threshold and the second standard threshold respectively;
If the risk coefficient of the failure of the laser methane alarm is larger than a second standard threshold, marking the laser methane alarm as high-risk equipment, and generating a first-level early warning signal at the moment;
If the risk coefficient of the failure of the laser methane alarm is larger than or equal to a first standard threshold value and smaller than or equal to a second standard threshold value, marking the laser methane alarm as medium risk equipment, and generating a second-level early warning signal at the moment;
If the risk coefficient of the fault of the laser methane alarm is smaller than a first standard threshold, marking the laser methane alarm as low-risk equipment, and generating a three-level early warning signal at the moment.
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