Gas monitoring system and method

Abstract

The present invention discloses a gas monitoring system and method, and relates to the technical field of gas safety monitoring. The present invention aims to effectively improve the alarm accuracy of the gas monitoring system by accurately calculating the gas alarm score, and by introducing the correlation coefficient analysis, correction and comprehensive evaluation mechanism, the gas alarm score finally obtained can be driven by a series of data and maintain a high degree of scientificity and accuracy. At the same time, through reasonable threshold setting, accurate alarm can be achieved in a real sense, that is, it is ensured that the alarm will only be triggered when the gas alarm score is sufficiently highly accurate and exceeds a reasonable threshold, so as to avoid the occurrence of false alarms, thereby effectively improving the reliability and safety of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of gas safety monitoring, and in particular to a gas monitoring system and method. Background Art

[0002] With the accelerated development of urbanization, gas is widely used in industrial production and residents' lives as a clean energy. However, the safe operation of gas facilities is crucial to protecting people's lives and property.

[0003] The gas monitoring and management systems currently in common use on the market mainly include the following key components: data acquisition devices, data transmission equipment, central processing units, and alarm output devices. These systems are usually used to monitor gas usage in residential, commercial buildings, industrial facilities and other places to prevent safety accidents caused by gas leaks; among them, data acquisition devices: usually composed of various types of sensors, such as temperature sensors, pressure sensors, flow meters, etc., which are responsible for real-time monitoring of gas pipeline pressure, temperature, flow and other parameters; data transmission equipment: responsible for transmitting the collected data from the site to the central control room or remote monitoring center, usually using wired or wireless methods for data transmission; central processing unit: processes the collected data, and determines whether there is a potential risk through simple threshold comparison. If an abnormality is detected, an alarm will be triggered; alarm output device: once the central processing unit detects an abnormality, it will activate the alarm output device, such as an audible and visual alarm, to warn the user;

[0004] Although the existing gas monitoring and management system can play a certain role in safety protection, there are still some obvious limitations in practical applications: in the process of analyzing the collected data, the existing system lacks comprehensive consideration of the correlation between different parameters and lacks scientific data correction methods, which makes the system inaccurate and lacks scientificity during the gas alarm stage, resulting in frequent false alarms, that is, a high false alarm rate;

[0005] Therefore, the prior art urgently needs a technical solution of a gas monitoring system and method. Summary of the invention

[0006] In order to solve the above technical problems, the present invention provides a gas monitoring system, the system comprising: a data acquisition module, a transmission module, a central processing module, and an execution module;

[0007] The data acquisition module is used to collect parameter data generated by the sensor;

[0008] Furthermore, the data acquisition module includes: a data receiving unit and a data storage unit; the data receiving unit is used to receive parameter data generated by a sensor; and the data storage unit is used to temporarily store parameter data.

[0009] The transmission module is connected to the data acquisition module and is used to send the parameter data to the remote server via wired or wireless means;

[0010] Furthermore, the transmission module includes: a wireless transmission unit, a wired transmission unit, and a transmission selection unit; the wireless transmission unit is used to send parameter data to a remote server via a wireless network; the wired transmission unit is used to send parameter data to a remote server via a wired network; the transmission selection unit is used to select the optimal transmission method according to network conditions.

[0011] The central processing module is connected to the transmission module, and is used to receive parameter data transmitted by the remote server, analyze the current parameter data according to preset rules, obtain a gas alarm score, and determine whether the current parameter data triggers an alarm condition according to the gas alarm score;

[0012] Furthermore, the central processing module includes: a receiving unit, an analysis engine, and a determination unit; the receiving unit is used to receive parameter data transmitted by a remote server; the analysis engine is used to analyze current parameter data according to preset rules to obtain a gas alarm score; the determination unit is used to determine whether the current parameter data triggers an alarm condition based on the gas alarm score.

[0013] The execution module is connected to the central processing module and is used to perform alarm processing on the current parameter data that triggers the alarm condition;

[0014] Furthermore, the execution module includes: an alarm signal receiving unit, an alarm triggering unit, and an alarm execution unit; the alarm signal receiving unit is used to receive the judgment result of the alarm condition triggered by the current parameter data; the alarm triggering unit is used to choose to trigger or not trigger the alarm according to the received judgment result; the alarm execution unit is used to execute the alarm operation after the alarm is triggered.

[0015] The present invention also provides a gas monitoring method, which is implemented based on the gas monitoring system described above and specifically includes the following steps:

[0016] Step S1, collecting parameter data generated by the sensor;

[0017] Step S2, sending the parameter data to a remote server via wired or wireless means;

[0018] Step S3, receiving parameter data transmitted by the remote server, analyzing the current parameter data according to preset rules to obtain a gas alarm score, and determining whether the current parameter data triggers an alarm condition based on the gas alarm score;

[0019] Step S3a, analyzing the correlation between each current parameter data and the gas alarm, and obtaining the correlation coefficient between each current parameter data and the gas alarm;

[0020] Step S3b, correcting the correlation coefficient between each current parameter data and the gas alarm to obtain a corrected correlation coefficient between each current parameter data and the gas alarm;

[0021] Step S3b1, obtaining each current parameter data and at least two correction factors of the gas alarm;

[0022] Step S3b2, obtaining at least two correction factor values ​​of each current parameter data and gas alarm according to at least two correction factors;

[0023] Step S3b3, combining each current parameter data with at least two correction factor values ​​of the gas alarm to obtain a comprehensive correction coefficient of each current parameter data and the gas alarm;

[0024] Step S3b4, obtaining a corrected correlation coefficient between each current parameter data and the gas alarm according to the correlation coefficient between each current parameter data and the gas alarm and the comprehensive correction coefficient between each current parameter data and the gas alarm;

[0025] Step S3c, assigning a weight to each current parameter data according to the modified correlation coefficient;

[0026] Step S3d, synthesizing the corrected correlation coefficient between each current parameter data and the gas alarm to obtain a comprehensive corrected correlation coefficient between all current parameter data and the gas alarm;

[0027] Step S3f, obtaining a gas alarm score according to the corrected correlation coefficient between each current parameter data and the gas alarm, the weight of each current parameter data, and the comprehensive corrected correlation coefficient between all current parameter data and the gas alarm;

[0028] Step S3g, setting a threshold for the gas alarm score. When the gas alarm score is greater than or equal to the threshold, it indicates that the current parameter data triggers the alarm condition; when the gas alarm score is less than the threshold, it indicates that the current parameter data does not trigger the alarm condition;

[0029] Step S4: Perform alarm processing on the current parameter data that triggers the alarm condition.

[0030] The embodiments of the present invention have the following technical effects:

[0031] The present invention aims to effectively improve the alarm accuracy of the gas monitoring system by accurately calculating the gas alarm score. The correlation between the current parameter data and the gas alarm is analyzed by the analysis engine in the central processing module. In order to ensure the accuracy of the correlation analysis results, the correlation analysis results are accurately corrected by obtaining a comprehensive correction coefficient. The comprehensive correction coefficient not only measures the importance of each parameter data to the gas alarm on the basis of the current correlation analysis, but also measures the real-time impact of each parameter data on the gas alarm and other aspects to ensure that the correction result is more in line with the actual situation. At the same time, it can effectively ensure the high scientificity and accuracy of the corrected correlation analysis results, thereby laying a very good foundation for obtaining accurate gas alarm scores. At the same time, based on the corrected correlation analysis results, that is, the corrected correlation coefficient, each parameter data is assigned The weighting method can minimize the intervention of manual experience to the greatest extent, so that the weight of each parameter data obtained based on data analysis can further make the gas alarm score acquisition result more accurate when intervening in the calculation of the gas alarm score. At the same time, by combining the corrected correlation coefficient between each current parameter data and the gas alarm, the comprehensive corrected correlation coefficient between all current parameter data and the gas alarm is obtained, that is, the further intervention calculation of the comprehensive corrected correlation coefficient can further ensure the high scientificity and accuracy of the gas alarm score acquisition result. Finally, a reasonable threshold is set for the gas alarm score obtained based on a series of data drives, so that accurate alarm can be achieved in a real sense, that is, it is ensured that the alarm will only be triggered when the gas alarm score is highly accurate enough and exceeds the reasonable threshold, so as to avoid false alarms, thereby effectively improving the reliability and safety of the system;

[0032] To sum up, the present invention introduces correlation coefficient analysis, correction and comprehensive evaluation mechanism, so that the final gas alarm score can maintain a high degree of scientificity and accuracy based on a series of data drive. At the same time, through reasonable threshold setting, it can effectively and effectively achieve accurate alarm in a real sense, that is, it ensures that the alarm will only be triggered when the gas alarm score is highly accurate enough and exceeds the reasonable threshold, so as to avoid false alarms, thereby effectively improving the reliability and safety of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 is a framework diagram of a gas monitoring system provided by an embodiment of the present invention;

[0035] Figure 2 It is a flow chart of a gas monitoring method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0037] Embodiment 1: Figure 1 As shown, the present invention provides a gas monitoring system, the system comprising: a data acquisition module, a transmission module, a central processing module, and an execution module;

[0038] The data acquisition module is used to collect parameter data generated by the sensor;

[0039] Furthermore, the data acquisition module includes: a data receiving unit and a data storage unit; the data receiving unit is used to receive parameter data generated by a sensor; and the data storage unit is used to temporarily store parameter data.

[0040] Among them, it is worth noting that the data storage unit is not only used to temporarily store parameter data, but also needs to be used to manually import part of the gas alarm data within a period of time. This part of the gas alarm data is historical data and is mainly used for subsequent analysis. The import method can be through all available temporary storage media, such as USB flash drives to import this part of the gas alarm data. At the same time, in order to ensure that the reference value of this part of the gas alarm data is low over time, this part of the gas alarm data should be manually updated regularly, and the update cycle can be one month, one quarter or even half a year.

[0041] The transmission module is connected to the data acquisition module and is used to send the parameter data to the remote server via wired or wireless means;

[0042] Furthermore, the transmission module includes: a wireless transmission unit, a wired transmission unit, and a transmission selection unit; the wireless transmission unit is used to send parameter data to a remote server via a wireless network; the wired transmission unit is used to send parameter data to a remote server via a wired network; the transmission selection unit is used to select the optimal transmission method according to network conditions.

[0043] Regarding the protocol support of the wireless transmission unit: support multiple wireless communication protocols such as Wi-Fi, 4G / 5G, etc.; Regarding the encryption security of the wireless transmission unit: support data encryption transmission to ensure data security;

[0044] Regarding the interface support of the wired transmission unit: support Ethernet and other wired network interfaces; Regarding the performance optimization of the wired transmission unit: provide stable and high-speed data transmission capabilities;

[0045] Regarding the network detection issue of the transmission selection unit: it is necessary to continuously monitor the network quality, such as signal strength, delay, etc.; Regarding the intelligent switching issue of the transmission selection unit: it automatically switches to wireless or wired transmission mode according to the network quality, and supports priority setting, that is, it supports setting the transmission mode to be used first under specific conditions.

[0046] The central processing module is connected to the transmission module, and is used to receive parameter data transmitted by the remote server, analyze the current parameter data according to preset rules, obtain a gas alarm score, and determine whether the current parameter data triggers an alarm condition according to the gas alarm score;

[0047] Furthermore, the central processing module includes: a receiving unit, an analysis engine, and a determination unit; the receiving unit is used to receive parameter data transmitted by a remote server; the analysis engine is used to analyze current parameter data according to preset rules to obtain a gas alarm score; the determination unit is used to determine whether the current parameter data triggers an alarm condition based on the gas alarm score.

[0048] The execution module is connected to the central processing module and is used to perform alarm processing on the current parameter data that triggers the alarm condition;

[0049] Furthermore, the execution module includes: an alarm signal receiving unit, an alarm triggering unit, and an alarm execution unit; the alarm signal receiving unit is used to receive the judgment result of the alarm condition triggered by the current parameter data; the alarm triggering unit is used to choose to trigger or not trigger the alarm according to the received judgment result; the alarm execution unit is used to execute the alarm operation after the alarm is triggered.

[0050] Embodiment 2: Figure 2 As shown, the present invention also provides a gas monitoring method, which is implemented based on the above-mentioned gas monitoring system and specifically includes the following steps:

[0051] Step S1, collecting parameter data generated by the sensor;

[0052] It is worth noting that, on the one hand, the parameter data generated by the collected sensors are real-time data; on the other hand, it is also necessary to manually import the gas alarm data table within a period of time as a reference benchmark, which can be within a week or a month, as shown in Table 1;

[0053] Table 1 is the gas alarm data collected within one month;

[0054]

[0055] The parameter data generated by the sensor include but are not limited to: pressure data, temperature data, flow data; the gas alarm data table includes but is not limited to alarm level, timestamp, alarm reason, and alarm location. In order to obtain the most representative and critical gas alarm data, this embodiment extracts the alarm level from the above-mentioned gas alarm data table, where the alarm level includes but is not limited to severe, medium, and minor. The alarm level is converted into digital form, corresponding to 3 for severe, 2 for medium, and 1 for minor, which serves as the key gas alarm data for subsequent analysis.

[0056] Step S2, sending the parameter data to a remote server via wired or wireless means;

[0057] Step S3, receiving parameter data transmitted by the remote server, analyzing the current parameter data according to preset rules to obtain a gas alarm score, and determining whether the current parameter data triggers an alarm condition based on the gas alarm score;

[0058] Step S3a, analyzing the correlation between each current parameter data and the gas alarm, and obtaining the correlation coefficient between each current parameter data and the gas alarm;

[0059] It is worth noting that when calculating the correlation coefficient between each current parameter data and the gas alarm, the present embodiment pre-uses the sliding window method to establish a data set corresponding to each current parameter data and a data set for the gas alarm data. The corresponding window size should be set according to the gas alarm data set. The gas alarm data set is obtained according to Table 1. , then the corresponding window size is 7, which means that the number of data points in the gas alarm data set is 7, and the current data set of each parameter data is ;

[0060] Next, the calculation formula of the Pearson correlation coefficient can be used to obtain the correlation coefficient between each current parameter data and the gas alarm. Specifically, the corresponding calculation formula is:

[0061] ;

[0062] in, Represents the correlation coefficient between the current i-th parameter data and the gas alarm; Represents the kth data point in the i-th parameter data; Represents the mean of the i-th parameter data; Represents the kth data point in the gas alarm data; Represents the mean value of gas alarm data.

[0063] Step S3b, correcting the correlation coefficient between each current parameter data and the gas alarm to obtain a corrected correlation coefficient between each current parameter data and the gas alarm;

[0064] Step S3b1, obtaining each current parameter data and at least two correction factors of the gas alarm;

[0065] It is worth noting that the purpose of this embodiment is to specifically determine which factors will affect the accuracy of the correlation coefficient, and determine the correction factor accordingly. First, an importance analysis is performed: the importance of each parameter data to the gas alarm is evaluated; then a real-time analysis is performed: the real-time impact of each parameter data on the gas alarm is determined; based on this, the correction factors that can be obtained include at least importance and real-time, but are not limited to the above correction factors;

[0066] Step S3b2, obtaining at least two correction factor values ​​of each current parameter data and gas alarm according to at least two correction factors;

[0067] According to the above correction factors, each correction factor needs to be quantified. Specifically, regarding quantified importance, a numerical value is assigned to the importance of each parameter data, wherein a higher numerical value is assigned to extremely important parameter data, and vice versa; regarding quantified real-time performance, a numerical value is assigned to the real-time performance of each parameter data, wherein a higher numerical value can be assigned to parameter data with high real-time performance, and vice versa;

[0068] Step S3b3, combining each current parameter data with at least two correction factor values ​​of the gas alarm to obtain a comprehensive correction coefficient of each current parameter data and the gas alarm;

[0069] The at least two correction factor values ​​obtained above are multiplied to obtain a comprehensive correction coefficient F of each current parameter data and the gas alarm;

[0070] Step S3b4, obtaining a corrected correlation coefficient between each current parameter data and the gas alarm according to the correlation coefficient between each current parameter data and the gas alarm and the comprehensive correction coefficient between each current parameter data and the gas alarm;

[0071] The calculation formula for obtaining the corrected correlation coefficient between each current parameter data and the gas alarm is:

[0072] ;

[0073] in, Represents the corrected correlation coefficient between the current i-th parameter data and the gas alarm; Represents the correlation coefficient between the current i-th parameter data and the gas alarm; Represents the comprehensive correction coefficient of each current parameter data and gas alarm;

[0074] Step S3c, assigning a weight to each current parameter data according to the modified correlation coefficient;

[0075] Step S3d, synthesizing the corrected correlation coefficient between each current parameter data and the gas alarm to obtain a comprehensive corrected correlation coefficient between all current parameter data and the gas alarm;

[0076] Among them, the calculation formula for obtaining the comprehensive correction correlation coefficient of all current parameter data and gas alarm is:

[0077] ;

[0078] in, Represents the comprehensive correction correlation coefficient of all current parameter data and gas alarm; Represents the corrected correlation coefficient between the current i-th parameter data and the gas alarm; represents the weight of the i-th parameter data; n represents the maximum number of parameter data;

[0079] Step S3f, obtaining the gas alarm score of the current parameter data according to the corrected correlation coefficient between each current parameter data and the gas alarm, the weight of each current parameter data, and the comprehensive corrected correlation coefficient between all current parameter data and the gas alarm;

[0080] The calculation formula for obtaining the gas alarm score of the current parameter data is:

[0081] ;

[0082] Among them, S represents the gas alarm score of the current parameter data; Represents the comprehensive correction correlation coefficient of all current parameter data and gas alarm; Represents the corrected correlation coefficient between the current i-th parameter data and the gas alarm; represents the weight of the i-th parameter data; n represents the maximum number of parameter data;

[0083] Step S3g, setting a threshold for the gas alarm score. When the gas alarm score is greater than or equal to the threshold, it indicates that the current parameter data triggers the alarm condition; when the gas alarm score is less than the threshold, it indicates that the current parameter data does not trigger the alarm condition;

[0084] Step S4: Perform alarm processing on the current parameter data that triggers the alarm condition.

[0085] It should be noted that the terms used in the present invention are only for describing specific embodiments, rather than limiting the scope of the present application. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular, but may also include the plural. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method or device including the elements.

[0086] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A gas monitoring system, characterized in that: The system includes: a data acquisition module, a transmission module, a central processing module, and an execution module; The data acquisition module is used to collect parameter data generated by the sensor; The transmission module is connected to the data acquisition module and is used to send the parameter data to the remote server via wired or wireless means; The central processing module is connected to the transmission module, and is used to receive parameter data transmitted by the remote server, analyze the current parameter data according to preset rules, obtain a gas alarm score, and determine whether the current parameter data triggers an alarm condition according to the gas alarm score; Analyze the correlation between each current parameter data and the gas alarm, and obtain the correlation coefficient between each current parameter data and the gas alarm; Correct the correlation coefficient between each current parameter data and the gas alarm to obtain the corrected correlation coefficient between each current parameter data and the gas alarm: obtain at least two correction factors between each current parameter data and the gas alarm; the correction factors include: importance analysis and real-time analysis; according to at least two correction factors, obtain at least two correction factor values ​​between each current parameter data and the gas alarm; combine at least two correction factor values ​​between each current parameter data and the gas alarm to obtain the comprehensive correction coefficient between each current parameter data and the gas alarm; According to the correlation coefficient between each current parameter data and the gas alarm and the comprehensive correction coefficient between each current parameter data and the gas alarm, the corrected correlation coefficient between each current parameter data and the gas alarm is obtained; According to the modified correlation coefficient, each current parameter data is given a weight; The corrected correlation coefficient between each current parameter data and the gas alarm is integrated to obtain the comprehensive corrected correlation coefficient between all current parameter data and the gas alarm; The gas alarm score is obtained based on the corrected correlation coefficient between each current parameter data and the gas alarm, the weight of each current parameter data, and the comprehensive corrected correlation coefficient between all current parameter data and the gas alarm; A threshold is set for the gas alarm score. When the gas alarm score is greater than or equal to the threshold, it means that the current parameter data triggers the alarm condition; when the gas alarm score is less than the threshold, it means that the current parameter data does not trigger the alarm condition; The execution module is connected to the central processing module and is used to perform alarm processing on the current parameter data that triggers the alarm condition.

2. A gas monitoring system according to claim 1, characterized in that: The data acquisition module includes: a data receiving unit and a data storage unit; The data receiving unit is used to receive parameter data generated by the sensor; The data storage unit is used to temporarily store parameter data.

3. A gas monitoring system according to claim 1, characterized in that: The transmission module includes: a wireless transmission unit, a wired transmission unit, and a transmission selection unit; The wireless transmission unit is used to send the parameter data to the remote server via a wireless network; The wired transmission unit is used to send the parameter data to the remote server via a wired network; The transmission selection unit is used to select the optimal transmission mode according to the network status.

4. A gas monitoring system according to claim 1, characterized in that: The central processing module includes: a receiving unit, an analysis engine, and a determination unit; The receiving unit is used to receive parameter data transmitted by the remote server; The analysis engine is used to analyze the current parameter data according to preset rules to obtain a gas alarm score; The determination unit is used to determine whether the current parameter data triggers an alarm condition according to the gas alarm score.

5. A gas monitoring system according to claim 1, characterized in that: The execution module includes: an alarm signal receiving unit, an alarm triggering unit, and an alarm execution unit; The alarm signal receiving unit is used to receive the determination result of the alarm condition triggered by the current parameter data; The alarm triggering unit is used to select whether to trigger or not to trigger the alarm according to the received determination result; The alarm execution unit is used to execute an alarm operation after the alarm is triggered.

6. A gas monitoring method, implemented based on a gas monitoring system according to any one of claims 1 to 5, characterized in that: The specific steps include: Step S1, collecting parameter data generated by the sensor; Step S2, sending the parameter data to a remote server via wired or wireless means; Step S3, receiving parameter data transmitted by the remote server, analyzing the current parameter data according to preset rules to obtain a gas alarm score, and determining whether the current parameter data triggers an alarm condition based on the gas alarm score; Step S4: Perform alarm processing on the current parameter data that triggers the alarm condition.

Images