Carbon monoxide gas monitoring system

Abstract

The application discloses a carbon monoxide gas monitoring system and relates to the technical field of gas monitoring.The application solves the problems of the traditional carbon monoxide monitoring method, such as limited monitoring range, inability to flexibly adjust the monitoring frequency and method according to actual conditions, and inability to ensure to strengthen monitoring during a period with large carbon monoxide concentration fluctuation, thereby reducing the timeliness and effectiveness of early warning.The system comprises a region division module, a CO sensor installation end, a period analysis module, an early warning notification module and a display module.The region division module performs meticulous region division on a factory, and the required sensor quantity is distributedly installed according to the area of each region; the monitoring region of a day is divided into multiple periods through the period analysis module; the early warning notification module adopts period monitoring, dynamic threshold setting and a multiple early warning mechanism.The early warning capability and flexibility of the carbon monoxide gas monitoring system are significantly improved, and the system provides more intelligent and reliable protection for the safe operation of the factory.

Description

Technical Field

[0001] This invention relates to the field of gas monitoring technology, specifically to a carbon monoxide gas monitoring system. Background Technology

[0002] Carbon monoxide (CO) is a colorless, odorless, and extremely toxic gas that is readily produced in industrial production processes, especially in factories and mines where combustion processes are involved.

[0003] Application CN118130731A discloses a carbon monoxide concentration monitoring system and method. This invention utilizes a compression release device to adjust the cross-sectional area of ​​a speed-regulating channel with expandable performance.

[0004] Specifically, when the compression and release device compresses the speed-regulating channel, its cross-sectional area decreases, resulting in less flue gas passing through and a slower flow rate after entering the monitoring channel. Conversely, when the compression and release device releases the speed-regulating channel, its cross-sectional area increases, allowing more flue gas to pass through and a faster flow rate after entering the monitoring channel. By controlling the flue gas flow rate in the monitoring channel, laminar flow is achieved. In laminar flow flue gas, carbon monoxide tends to accumulate in the upper layers, resulting in a higher carbon monoxide concentration that is easier to detect using a low-cost carbon monoxide concentration sensor. Therefore, this invention uses a low-cost carbon monoxide concentration sensor to monitor the carbon monoxide concentration in flue gas.

[0005] Monitoring and controlling carbon monoxide concentration in the work environment is crucial for ensuring the safety of workers. Traditional carbon monoxide monitoring methods mainly rely on sensors at fixed locations for real-time monitoring. However, this method has limitations: it has a limited monitoring range, cannot flexibly adjust the monitoring frequency and method according to actual conditions, and cannot ensure enhanced monitoring during periods of large fluctuations in carbon monoxide concentration, thus reducing the timeliness and effectiveness of early warnings.

[0006] Therefore, a carbon monoxide gas monitoring system is needed. Summary of the Invention

[0007] To address the shortcomings of existing technologies, this invention provides a carbon monoxide gas monitoring system, which solves the problems of limited monitoring range, inability to flexibly adjust monitoring frequency and methods according to actual conditions, and inability to ensure enhanced monitoring during periods of large fluctuations in carbon monoxide concentration, thereby reducing the timeliness and effectiveness of early warnings.

[0008] To achieve the above objectives, the present invention provides the following technical solution: a carbon monoxide gas monitoring system, comprising:

[0009] The area division module is used to divide the entire area of ​​the target factory that needs to monitor CO concentration into m areas according to the work tasks of each factory. Each divided area is denoted as the target area. The number of carbon monoxide sensors required for the corresponding target area is determined according to the area of ​​each target area.

[0010] The CO sensor mounting terminal is used to establish a communication connection with the sensors in the target area. There are m CO sensor mounting terminals, and one CO sensor mounting terminal corresponds to one target area. The CO sensor mounting terminal will send the collected data to the subsequent time period analysis module.

[0011] The time period analysis module is used to divide the target area into time periods. By dividing the target area into multiple intervals as the analysis area, and selecting any interval as the analysis period, the total change value of the analysis period is determined. Then, the total change value of each day in the past Q days of the analysis period is obtained and analyzed to determine whether the analysis period is a period of stable CO concentration or a period of changing CO concentration.

[0012] The early warning notification module is used to divide the time period analysis module into different time periods and use different monitoring methods to issue early warnings about carbon monoxide concentration. It also sets corresponding CO concentration thresholds for each target area.

[0013] Preferably, in the region division module, the method for determining the number of carbon monoxide sensors required for each target region based on its area is as follows: calculate the area Sk of each target region, and then use the formula... Where Sk represents the area of ​​the k-th target region, 0≤k≤m, Nk represents the number of CO sensors required for the k-th target region, A represents the effective coverage area of ​​a single sensor, and Rf represents the safety redundancy coefficient. Then, Nk CO concentration monitoring sensors are distributed and installed in the corresponding target region to monitor the carbon monoxide concentration in the target region.

[0014] Preferably, in the time period analysis module, the specific method for dividing the period of stable CO concentration and the period of changing CO concentration is as follows:

[0015] S1: Select any target region as the analysis region;

[0016] S2: After determining the analysis area, the day is divided into n intervals, where n is a preset value. The intervals start from midnight and continue until midnight the next day.

[0017] S3: Randomly select an interval period as the analysis period. During this analysis period, every Ta time, the Nk CO concentration monitoring sensors in this analysis area monitor the carbon monoxide concentration Ci in the monitored environment, where Ta is a preset value and 1≤i≤Nk;

[0018] Then, through the formula: ; calculate the average carbon monoxide concentration Y at this monitoring moment during the analysis period

[0019] , , where 1≤j≤z, and z represents the total number of times of monitoring the carbon monoxide concentration in the monitored environment every Ta time during this analysis period;

[0019] Subsequently, obtain all Y values during this analysis period j , where j = 1, 2... z, and calculate W j =|Y j - Y j-1 |, where when j = 1, the value of Y j-1 is taken as 0, and W j represents the change value of the carbon monoxide concentration every Ta time; then calculate the total sum W j of the change values W sun of the carbon monoxide concentration during this analysis period:

[0020] <%

[0021] Represent W sun as the total change value during this analysis period;

[0022] S4: Obtain the total change value W sun for each day in the recent Q days during this analysis period, and mark the total change value for each day as W sun-v , v = 1,..., Q, where Q is a preset value. Specifically, obtain the total change value for each day in the recent Q days during this analysis period, starting from the current time and going back Q days in this time period;

[0023] S5: Then obtain the average value of the Q groups of W sun-v values, mark it as Wp, calculate its deviation value U through the formula . When the deviation value U exceeds G1, sort |W sun-v - W p | in descending order, and each time delete the largest W sun-v in the sorting, and recalculate the deviation value U until U does not exceed the preset value G1. Obtain the number of deleted W sun-v and mark it as g. When g / Q≥G2, determine that this analysis period is a CO concentration change period; when g / Q < G2, determine that this analysis period is a CO concentration stable period; where G1 and G2 are preset values;

[0024] S6: Repeat steps S3-S5 to divide each interval of the analysis area into periods of CO concentration change or periods of stable CO concentration.

[0025] Preferably, after step S6, the method further includes:

[0026] S7: Repeat steps S1-S6, taking each target area as an analysis area, and dividing each time interval of each analysis area into a CO concentration change period or a CO concentration stable period.

[0027] Preferably, in the early warning notification module, the specific monitoring method is as follows:

[0028] When the CO concentration in each target area is stable, each CO concentration monitoring sensor in the target area monitors the concentration once every T1 time interval. The change value Eb of the current interval T1 is recorded by subtracting the previous monitoring result from the monitoring result. When the change value Eb is greater than or equal to the change threshold B1, it is marked as 1. When a certain CO concentration monitoring sensor is marked as 1 three times in a row, it indicates that the CO concentration is rising significantly, and an alarm is issued to notify relevant personnel and staff.

[0029] When the CO concentration in each target area is changing, each CO concentration monitoring sensor in the target area monitors the concentration once every T2 time interval. The change value Eb of the current interval T2 is calculated by subtracting the previous monitoring result from the monitoring result. When the change value Eb is greater than or equal to the change threshold B2, it is marked as 1. When a CO concentration monitoring sensor is marked as 1 twice in a row, it indicates that the CO concentration is rising significantly, and an alarm is issued to notify relevant personnel and staff. Here, T1 and T2 are preset values, and Ta>T1>T2.

[0030] Preferably, the warning and notification module also includes setting corresponding CO concentration thresholds in each target area when the CO concentration is stable or changing. When any two sensors in the target area exceed the CO concentration threshold, an alarm is issued to notify relevant personnel and staff.

[0031] Preferably, it also includes a display module for displaying CO concentration parameters and alarm signals monitored by each sensor in each target area.

[0032] In summary, the present invention provides a carbon monoxide gas monitoring system, which has the following advantages compared with the prior art:

[0033] 1. This invention uses a zone division module to meticulously divide the factory into zones. Based on the area and task requirements of each zone, the required number of carbon monoxide sensors is calculated and distributed accordingly. This approach ensures accurate monitoring of each zone, avoiding blind spots found in traditional methods. Different zones may exhibit significant differences in complexity and carbon monoxide concentration; zoned monitoring can accurately capture these differences, thereby improving the overall accuracy and reliability of monitoring.

[0034] 2. This invention divides a day in the monitored area into multiple time periods using a time-period analysis module, and analyzes the changes in carbon monoxide concentration during each period. By calculating the carbon monoxide concentration and its total change for each time period, periods of concentration fluctuation and stable periods can be identified. This dynamic analysis capability allows the system to flexibly adjust the monitoring frequency and methods according to actual conditions, ensuring enhanced monitoring during periods of significant carbon monoxide concentration fluctuations, thereby improving the timeliness and effectiveness of early warnings.

[0035] 3. By introducing an early warning notification module and adopting time-segmented monitoring, dynamic threshold setting, and multiple early warning mechanisms, this invention significantly improves the early warning capability and flexibility of the carbon monoxide gas monitoring system, providing a more intelligent and reliable guarantee for the safe operation of the factory. Attached Figure Description

[0036] Figure 1 This is a system framework diagram of the carbon monoxide gas monitoring system of the present invention;

[0037] Figure 2 This is a flowchart illustrating the time-period analysis module division method of the carbon monoxide gas monitoring system of the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example 1

[0039] Please see Figures 1-2 The present invention provides a carbon monoxide gas monitoring system, including: a region division module, a CO sensor installation terminal, a time period analysis module, an early warning notification module, and a display module;

[0040] The area division module is used to divide the entire area requiring CO concentration monitoring for the target factory into m areas. The division method can be based on the work tasks of each factory. Each divided area is denoted as a target area. The area Sk of each target area is calculated according to the formula. Where Sk represents the area of ​​the k-th target region, 0≤k≤m, Nk represents the number of CO sensors required for the k-th target region, A represents the effective coverage area of ​​a single sensor, and Rf represents the safety redundancy coefficient. Considering the complexity of the environment and the redundancy requirements of the sensors, Nk CO concentration monitoring sensors are then distributed and installed in the corresponding target region to monitor the carbon monoxide concentration in the target region.

[0041] Specifically, in this embodiment, the factory involves multiple production workshops and storage areas, requiring carbon monoxide (CO) concentration monitoring in these areas to ensure worker safety and the quality of the production environment. Based on the factory's actual work tasks, the overall area is divided into several target areas, and an appropriate number of CO concentration sensors are installed in each target area. According to the factory's work tasks and environmental characteristics, the factory is divided into the following five main areas: Production Workshop A, Production Workshop B, Storage Area C (for storing semi-finished and finished products), Office Area D, and Passageways and Public Area E. The area of ​​each area is obtained, and a safety redundancy coefficient is set. =1.2, according to the formula Calculate the number of sensors required for each area;

[0042] The CO sensor installation terminal is used to establish a communication connection with the sensor in the target area. There are m CO sensor installation terminals, that is, one CO sensor installation terminal corresponds to one target area. The CO sensor installation terminal sends the collected data to the time period analysis module.

[0043] The time period analysis module is used to divide the target area into time periods, namely, periods of stable CO concentration and periods of changing CO concentration.

[0044] The specific methods for dividing the periods of stable CO concentration and periods of CO concentration change are as follows:

[0045] S1: Select any target region as the analysis region;

[0046] S2: After determining the analysis area, the day is divided into n interval periods, where n is a preset value. The specific parameters are set by the staff. In this embodiment, n is 24. The interval period starts from midnight and continues until midnight the next day.

[0047] S3: Randomly select an interval period as the analysis period. During the analysis period, every Ta time interval, Nk CO concentration monitoring sensors in the analysis area monitor the carbon monoxide concentration Ci in the environment. Ta is a preset value, which is set by the staff. In this embodiment, Ta is 4 min, and 1≤i≤Nk.

[0048] Next, using the formula: ; Calculate the average carbon monoxide concentration Y at this monitoring time during the analysis period. j , where 1≤j≤z, and z represents the total number of carbon monoxide concentrations monitored in the environment at every time interval Ta during the analysis period;

[0049] Then, all Y values ​​within that analysis period were obtained. j Where j = 1, 2, ..., z, calculate W. j =|Y j -Y j-1 |, where, when j=1, Y j-1 The value of W is 0. j This represents the change in carbon monoxide concentration at each time interval Ta;

[0050] Next, the change in carbon monoxide concentration W during this analysis period was calculated. j The sum of W sun ,Right now:

[0051]

[0052] W sun This is expressed as the total change during the analysis period;

[0053] S4: Obtain the total daily change W for the past Q days in this analysis period. sun And label its total daily change as W sun-v v = 1, ..., Q, where the value of Q is set by the staff. In this embodiment, Q is specifically 30. Specifically, the total value of the daily changes in the past 30 days of the analysis period is calculated from the current time and counted back 30 days.

[0054] S5: Next, obtain Q group W sun-v The average value, denoted as Wp, is obtained through the formula... Calculate its deviation value U. When the deviation value U exceeds G1, |W sun-v -W p Sort the data in descending order, and remove the largest value (W) from the sorted data at each step. sun-v And recalculate the deviation value U until U does not exceed the preset value G1, and obtain the deleted W. sun-vThe number is denoted as g. When g / Q ≥ G2, the analysis period is determined as a CO concentration change period; when g / Q < G2, the analysis period is determined as a CO concentration stable period.

[0055] Among them, G1 and G2 are preset values, and the specific parameter values are set by the staff according to experience. In this embodiment, the value of G2 is 0.45.

[0056] S6: Repeat steps S3 - S5 to divide each interval period in the analysis area into a CO concentration change period or a CO concentration stable period.

[0057] S7: Repeat steps S1 - S6, taking each target area as the analysis area, and divide each interval period of each analysis area into a CO concentration change period or a CO concentration stable period. Embodiment Two

[0058] In the specific implementation process of this embodiment, based on Embodiment One and different from Embodiment One, this embodiment includes:

[0059] An early warning notification module, which is used to perform different monitoring methods for different periods divided by the period analysis module, and issue early warnings for the concentration of carbon monoxide through different monitoring methods.

[0060] The specific monitoring method is as follows: When each target area is in a CO concentration stable period, each CO concentration monitoring sensor in the target area performs a concentration monitoring every T1 time period. By calculating the result of the current monitoring minus the result of the previous monitoring, it is recorded as the change value Eb of this interval T1 period. When the change value Eb ≥ the change threshold B1, it is marked as 1. When a certain CO concentration monitoring sensor is marked as 1 three times continuously, it indicates that the CO concentration is rising significantly, and an alarm is issued to notify relevant personnel and staff.

[0061] When each target area is in a CO concentration change period, each CO concentration monitoring sensor in the target area performs a concentration monitoring every T2 time period. By calculating the result of the current monitoring minus the result of the previous monitoring, it is recorded as the change value Eb of this interval T2 period. When the change value Eb ≥ the change threshold B2, it is marked as 1, otherwise it is marked as 0. When a certain CO concentration monitoring sensor is marked as 1 twice continuously, it indicates that the CO concentration is rising significantly, and an alarm is issued to notify relevant personnel and staff.

[0062] Among them, T1 and T2 are preset values, specifically set by professionals, and Ta > T1 > T2.

[0063] Specifically, in this embodiment, when the CO concentration in each target area is in a stable or fluctuating period, CO concentration monitoring sensors are evenly distributed and installed in each target area of ​​the factory, ensuring that all sensors are functioning properly. Each sensor automatically monitors the CO concentration every T1 time interval (3 minutes for T1 and 2 minutes for T2), and records the monitoring results. Each sensor records its current CO concentration value C. t And compared with the concentration value C of the previous time period. t-1 The change value Eb is calculated by comparison: Eb = Ct - Ct-1. If the change value Eb is greater than or equal to the change threshold B1, it is marked as 1; otherwise, it is marked as 0.

[0064] Early warning is achieved by setting the monitoring frequency and change threshold of the sensors. It also includes a continuous detection early warning mechanism for a significant increase in CO concentration. When a sensor detects a significant increase in carbon monoxide concentration multiple times in a row, the system will immediately issue an alarm to notify relevant personnel. This multi-early warning mechanism can effectively deal with different types of carbon monoxide leak events and improve the reliability and response speed of the early warning system. Example 3

[0065] In the specific implementation process of this embodiment, based on embodiment two, this embodiment also includes the following: in the early warning notification module, when each target area is in a period of stable CO concentration or a period of change, a corresponding CO concentration threshold is set in each target area. When any two sensors in the target area exceed the CO concentration threshold, an alarm is issued to notify relevant personnel and staff.

[0066] The display module shows the CO concentration parameters and alarm signals monitored by each sensor in each target area. By setting corresponding carbon monoxide concentration thresholds in each target area, an alarm is triggered when any two sensors exceed the threshold. This design ensures that in the event of a sudden high-concentration carbon monoxide leak, the system can react quickly, promptly notify relevant personnel and staff, and take swift emergency measures to reduce the occurrence and spread of the accident. Example 4

[0067] In its specific implementation, this embodiment includes all the implementation processes of the above three sets of embodiments.

[0068] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0069] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A carbon monoxide gas monitoring system, characterized in that, include: The area division module is used to divide the entire area of ​​the target factory that needs to monitor CO concentration into m areas according to the work tasks of each factory. Each divided area is denoted as the target area. The number of carbon monoxide sensors required for the corresponding target area is determined according to the area of ​​each target area. The CO sensor mounting terminal is used to establish a communication connection with the sensors in the target area. There are m CO sensor mounting terminals, and one CO sensor mounting terminal corresponds to one target area. The CO sensor mounting terminal will send the collected data to the subsequent time period analysis module. The time period analysis module is used to divide the target area into time periods. By dividing the target area into multiple intervals as the analysis area, and selecting any interval as the analysis period, the total change value of the analysis period is determined. Then, the total change value of each day in the past Q days of the analysis period is obtained and analyzed to determine whether the analysis period is a period of stable CO concentration or a period of changing CO concentration. The early warning notification module is used to divide the time period analysis module into different time periods and use different monitoring methods to issue early warnings about carbon monoxide concentration. It also sets corresponding CO concentration thresholds for each target area.

2. The carbon monoxide gas monitoring system according to claim 1, characterized in that, In the region segmentation module, the method for determining the number of carbon monoxide sensors required for each target region based on its area is as follows: calculate the area Sk of each target region, and then use the formula... Where Sk represents the area of ​​the k-th target region, 0≤k≤m, Nk represents the number of CO sensors required for the k-th target region, A represents the effective coverage area of ​​a single sensor, and Rf represents the safety redundancy coefficient. Then, Nk CO concentration monitoring sensors are distributed and installed in the corresponding target region to monitor the carbon monoxide concentration in the target region.

3. The carbon monoxide gas monitoring system according to claim 2, characterized in that, In the time period analysis module, the specific division method for CO concentration stable periods and CO concentration changing periods is as follows: S1: Select any target region as the analysis region; S2: After determining the analysis area, the day is divided into n intervals, where n is a preset value. The intervals start from midnight and continue until midnight the next day. S3: Randomly select an interval period as the analysis period. During the analysis period, every Ta time interval, Nk CO concentration monitoring sensors in the analysis area monitor the carbon monoxide concentration Ci in the environment, where Ta is a preset value and 1≤i≤Nk. Next, using the formula: ; Calculate the average carbon monoxide concentration Y at this monitoring time during the analysis period. j , where 1≤j≤z, and z represents the total number of carbon monoxide concentrations monitored in the environment at every time interval Ta during the analysis period; Then, all Y values ​​within that analysis period were obtained. j Where j = 1, 2, ..., z, calculate W. j =|Y j -Y j-1 |, where, when j=1, Y j-1 The value of W is 0. j This represents the change in carbon monoxide concentration at each time interval Ta; Next, the change in carbon monoxide concentration W during this analysis period was calculated. j The sum of W sun : W sun This is expressed as the total change during the analysis period; S4: Obtain the total daily change W for the past Q days in this analysis period. sun And label its total daily change as W sun-v v = 1, ..., Q, where Q is a preset value. Specifically, the total daily change value of the past Q days in the analysis period is obtained from the current time, counting back Q days. S5: Then obtain the average value of Q groups of W sun-v values, mark it as Wp, and calculate its deviation value U through the formula . When the deviation value U exceeds G1, sort |W sun-v - W p | in descending order, and each time delete the largest sorted W sun-v , and recalculate the deviation value U until U does not exceed the preset value G1. Obtain the number of deleted W sun-v and mark it as g. When g / Q ≥ G2, determine this analysis period as the CO concentration change period. When g / Q < G2, determine this analysis period as the CO concentration stable period; where G1 and G2 are preset values. S6: Repeat steps S3-S5 to divide each interval of the analysis area into periods of CO concentration change or periods of stable CO concentration.

4. The carbon monoxide gas monitoring system according to claim 3, characterized in that, The process after step S6 also includes: S7: Repeat steps S1-S6, taking each target area as an analysis area, and dividing each time interval of each analysis area into a CO concentration change period or a CO concentration stable period.

5. The carbon monoxide gas monitoring system according to claim 1 or 3, characterized in that, The specific monitoring method in the early warning notification module is as follows: When the CO concentration in each target area is stable, each CO concentration monitoring sensor in the target area monitors the concentration once every T1 time interval. The change value Eb of the current interval T1 is recorded by subtracting the previous monitoring result from the monitoring result. When the change value Eb is greater than or equal to the change threshold B1, it is marked as 1. When a certain CO concentration monitoring sensor is marked as 1 three times in a row, it indicates that the CO concentration is rising significantly, and an alarm is issued to notify relevant personnel and staff. When the CO concentration in each target area is changing, each CO concentration monitoring sensor in the target area will monitor the concentration once every T2 time interval. The change value Eb of the current interval T2 is calculated by subtracting the previous monitoring result from the monitoring result. When the change value Eb is greater than or equal to the change threshold B2, it is marked as 1. When a CO concentration monitoring sensor is marked as 1 twice in a row, it indicates that the CO concentration is rising significantly, and an alarm is issued to notify relevant personnel and staff. T1 and T2 are preset values, and Ta > T1 > T2.

6. The carbon monoxide gas monitoring system according to claim 5, characterized in that, It also includes an early warning and notification module: when the CO concentration in each target area is in a stable period or a period of change, a corresponding CO concentration threshold is set in each target area. When any two sensors in the target area exceed the CO concentration threshold, an alarm is issued to notify relevant personnel and staff.

7. The carbon monoxide gas monitoring system according to claim 1, characterized in that, It also includes a display module for displaying CO concentration parameters and alarm signals monitored by each sensor in each target area.

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