Anomaly discrimination method and system for gas online analysis

Abstract

This invention relates to the field of anomaly detection technology, and particularly to an anomaly detection method and system for online gas analysis. The method includes: locating the deployment location of the online gas analyzer; collecting real-time readings; creating an evaluation set composed of several discrimination rules; comparing the real-time readings with the evaluation set; defining risk points; obtaining control permissions for bypass pipelines at the risk points; opening the inlet valve of a standard gas and adjusting the inlet valve to a trace valve position; reading the component data of the standard gas, wherein the component data consists of gas type and concentration value; determining whether the real-time readings and component data are the same; if so, identifying the main pollutant from the real-time readings and locating the emitting equipment of the main pollutant. This invention, by generating manual verification tasks, can further improve the accuracy of verification results, avoid overlooking potential faults, and ensure the safe and stable operation of the online gas analyzer.

Description

Technical Field

[0001] This invention relates to the field of anomaly detection technology, and in particular to an anomaly detection method and system for online gas analysis. Background Technology

[0002] In chemical production, online gas analysis equipment is often used to monitor raw materials, intermediate gases, and exhaust gases in real time. When abnormal data is detected, manual verification is often required. That is, when the online gas analysis equipment detects abnormal gas concentration data, laboratory analysts intervene and resample to determine whether the abnormal characteristics actually exist. However, this method not only consumes a lot of human resources, but also makes it difficult to achieve real-time response. Especially in industrial scenarios with large amounts of data and scattered monitoring points, manual verification is inefficient.

[0003] Therefore, "how to verify abnormal data using trace and constant standard gases after the gas online analysis equipment detects it" is the technical problem that this invention needs to solve. Summary of the Invention

[0004] The purpose of this invention is to provide an anomaly detection method and system for online gas analysis, in order to solve the problem mentioned in the background art of "how to verify the abnormal data detected by the online gas analysis equipment using trace and constant standard gases".

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] An anomaly detection method for online gas analysis, the method comprising:

[0007] The deployment location of the online gas analysis device is located, real-time readings are collected, an evaluation set consisting of several discrimination rules is created, the real-time readings and the evaluation set are compared, risk points are defined, control permissions for bypass pipelines at risk points are obtained, the inlet valve of the standard gas is opened and adjusted to the micro valve position range, the component data of the standard gas is read, wherein the component data consists of gas type and concentration value, and it is determined whether the real-time readings and component data are the same.

[0008] If so, identify the main pollutants from the real-time readings, locate the emission equipment of the main pollutants, configure several evaluation indicators, wherein the evaluation indicators include at least: output and operating conditions, determine whether the real-time readings and evaluation indicators will change synchronously, if so, through the control authority, use the pre-defined verification frequency to purge the online analysis equipment, if not, open the intake valve to the standard valve position range, and determine again whether the real-time readings and component data are the same;

[0009] If not, the deployment location is written into a preset template to generate a manual review task, which is then sent to a preset terminal.

[0010] The remaining amount of standard gas is read. When the remaining amount is less than a threshold, the standard gas recovery position is set and connected to the bypass system. A verification task is generated and integrated into the verification task.

[0011] Furthermore, the steps of collecting real-time readings and editing the evaluation set include:

[0012] Collect operational data from all online gas analysis devices, wherein the operational data includes at least: real-time readings, timestamps, and operational status;

[0013] Determine whether the operational data meets the discrimination rules. If so, define the deployment location of the corresponding online gas analysis equipment as a risk point.

[0014] Furthermore, the step of comparing the real-time readings and the evaluation set to define the risk points includes:

[0015] Configure the risk level corresponding to each discrimination rule, wherein the risk level includes at least: high, medium and low, and write the risk level into the evaluation set;

[0016] Based on the deployment location, a monitoring distribution map is drawn, the risk level is marked on the monitoring distribution map, and the corresponding handling rules for each risk level are edited.

[0017] Furthermore, the steps of obtaining control authority for the bypass pipeline at the risk point, opening the inlet valve of the standard gas, adjusting the inlet valve to the micro-valve position range, and reading the component data of the standard gas include:

[0018] The control authority for the intake valve in the bypass pipeline is obtained through the preset DCS central control system.

[0019] The design parameters of the online gas analysis device are identified, wherein the design parameters include at least: measurement range and accuracy, and based on the design parameters, the micro valve position range and the standard valve position range are configured.

[0020] Furthermore, the method also includes:

[0021] Establish a pollutant time series database, configure the historical change trend of each emission device, compare the real-time readings with the historical change trends, and identify the target device;

[0022] The target device is integrated into the manual review task.

[0023] Furthermore, the steps of setting the standard gas recovery location, connecting it to the bypass system, generating a calibration task, and integrating it into the calibration task include:

[0024] Create a task set consisting of verification tasks and manual review tasks, and set the priority for each deployment location;

[0025] The task set is adjusted according to the priority order from high to low.

[0026] Furthermore, the method also includes:

[0027] Obtain production adjustment tasks, determine the possible fluctuation time of evaluation indicators, and construct time windows;

[0028] When the time window arrives, the deployment location will be pushed to the DCS central control system.

[0029] Furthermore, the system includes:

[0030] The reading module is used to locate the deployment location of the online gas analysis equipment, collect real-time readings, create an evaluation set consisting of several discrimination rules, compare the real-time readings with the evaluation set, define risk points, obtain control permissions for the bypass pipeline at the risk points, open the inlet valve of the standard gas, adjust the inlet valve to the micro valve position range, and read the component data of the standard gas, wherein the component data consists of gas type and concentration value;

[0031] The judgment module is used to determine whether the real-time reading is the same as the component data. If so, it identifies the main pollutants from the real-time reading, locates the emission equipment of the main pollutants, and configures several evaluation indicators, wherein the evaluation indicators include at least: output and operating conditions. It determines whether the real-time reading and the evaluation indicators will change synchronously. If so, it purges the online analysis equipment using a pre-defined verification frequency through the control authority. If not, it opens the intake valve to the standard valve position range and judges again whether the real-time reading is the same as the component data. If not, it writes the deployment location into a preset template, generates a manual review task, and sends it to a preset terminal.

[0032] An integrated module is used to read the remaining amount of standard gas. When the remaining amount is less than a threshold, the standard gas recovery position is set and connected to the bypass system to generate a verification task and integrate it into the verification task.

[0033] Furthermore, the reading module includes:

[0034] The acquisition unit is used to acquire the operating data of all online gas analysis devices, wherein the operating data includes at least: real-time readings, timestamps, and operating status;

[0035] Define a unit to determine whether the operating data meets the discrimination rules. If so, define the deployment location of the corresponding online gas analysis equipment as a risk point.

[0036] The writing unit is used to configure the risk level corresponding to each discrimination rule, wherein the risk level includes at least: high, medium and low, and write the risk level into the evaluation set;

[0037] The editing unit is used to draw a monitoring distribution map based on the deployment location, mark the risk level on the monitoring distribution map, and edit the handling rules corresponding to each risk level.

[0038] Furthermore, the determination module includes:

[0039] The acquisition unit is used to acquire the control authority of the intake valve in the bypass pipeline via a preset DCS central control system.

[0040] The identification unit is used to identify the design parameters of the online gas analysis device, wherein the design parameters include at least: measurement range and accuracy, and based on the design parameters, configure the micro valve position range and the standard valve position range.

[0041] Compared with the prior art, the beneficial effects of the present invention are:

[0042] By comparing real-time readings and evaluation sets, the location of abnormal online gas analyzers can be accurately identified, avoiding blind troubleshooting and improving response efficiency in abnormal situations. Using trace amounts of standard gas for calibration allows for preliminary assessment of equipment status at risk points, saving standard gas resources and significantly improving the efficiency of risk point identification. Using standard quantities of standard gas to identify online gas analyzers at risk points fully covers the measurement range of the online gas analyzers, promptly detecting response deviations at different concentrations, facilitating a comprehensive evaluation of the overall performance of the online gas analyzers, and improving the accuracy of anomaly identification. Generating manual review tasks further enhances the accuracy of calibration results, preventing the omission of potential faults and ensuring the continuous and stable operation of online gas analyzers. Attached Figure Description

[0043] Figure 1 A flowchart illustrating an anomaly detection method for online gas analysis provided in an embodiment of the present invention;

[0044] Figure 2 This is a first sub-flowchart of the anomaly detection method for online gas analysis provided in an embodiment of the present invention;

[0045] Figure 3 This is a second sub-flowchart of the anomaly detection method for online gas analysis provided in an embodiment of the present invention;

[0046] Figure 4 This is a third sub-flowchart of the anomaly detection method for online gas analysis provided in an embodiment of the present invention;

[0047] Figure 5 This is a block diagram of an anomaly detection system for online gas analysis provided in an embodiment of the present invention;

[0048] Figure 6 A block diagram of the reading module in an anomaly detection system for online gas analysis provided in an embodiment of the present invention;

[0049] Figure 7 This is a block diagram of the judgment module in the anomaly detection system for online gas analysis provided in an embodiment of the present invention;

[0050] Figure 8 This is a block diagram of the integrated module in the anomaly detection system for online gas analysis provided in an embodiment of the present invention. Detailed Implementation

[0051] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0052] In Example 1, Figure 1 The implementation flow of the anomaly detection method for online gas analysis provided in this embodiment of the invention is illustrated below, and is described in detail below:

[0053] S100: Locate the deployment location of the online gas analysis device, collect real-time readings, create an evaluation set consisting of several discrimination rules, compare the real-time readings with the evaluation set, define risk points, obtain control permissions for bypass pipelines at risk points, open the inlet valve of the standard gas, adjust the inlet valve to the micro-valve position range, and read the component data of the standard gas, wherein the component data consists of gas type and concentration value.

[0054] Determine the deployment locations of each gas online analysis device. The deployment locations should be determined based on the PID diagram of the production process. Use the gas online analysis devices to collect real-time readings from each emission monitoring point, specifically including: pollutant concentration, temperature, pressure, and flow rate. Create an evaluation set consisting of several discrimination rules, where the discrimination rules refer to the evaluation criteria for real-time readings. For example, a discrimination rule might be that if the reading fluctuation of the gas online analysis device is less than 5% over a continuous period of time (e.g., 15 minutes), i.e., "no significant change over a long period of time," then the deployment location of the corresponding gas online analysis device is defined as a risk point.

[0055] A bypass line is pre-installed in each online gas analyzer. One end of the bypass line is connected to the gas line to be monitored, and the other end is connected to a standard gas storage tank. After identifying the risk points, the inlet valve of the standard gas in the corresponding bypass line is opened to introduce the standard gas into the online gas analyzer. The inlet valve is adjusted to a micro-valve position to allow the standard gas to enter the online gas analyzer in a very small and stable manner. This allows for preliminary verification and rapid screening of the online gas analyzer. The component data of the standard gas is obtained from the standard gas supplier or production management personnel. The component data mainly includes the type of standard gas and its corresponding concentration value.

[0056] S200: Determine whether the real-time reading is the same as the component data. If so, identify the main pollutants from the real-time reading, locate the emission equipment of the main pollutants, and configure several evaluation indicators, wherein the evaluation indicators include at least: output and operating conditions. Determine whether the real-time reading and the evaluation indicators will change synchronously. If so, purge the online analysis equipment using the pre-defined verification frequency through the control authority. If not, open the intake valve to the standard valve position range and determine again whether the real-time reading is the same as the component data. If not, write the deployment location into the preset template, generate a manual review task, and send it to the preset terminal.

[0057] The process involves verifying whether the real-time readings of the online gas analyzer match the composition data of the standard gas. If they match, the online gas analyzer's measurement results are considered reliable and its operation is normal. Using the real-time readings, the main pollutants in the exhaust gas are identified—those with high concentrations or large fluctuations. Using PID diagrams or the DCS central control system, the equipment or process steps that may generate these main pollutants are located, and a corresponding relationship is established. Each main pollutant corresponds to at least one equipment or process step. Factors that may affect the cause or emission of pollutants are determined, i.e., evaluation indicators. These indicators include output and operating conditions. For example, when the production system load increases or decreases, the concentration and emission of the main pollutants will also change accordingly. Furthermore, if the production system load remains unchanged but the operating conditions fluctuate, it may also lead to changes in the concentration and emission of the main pollutants.

[0058] Determine whether the real-time readings and evaluation indicators change synchronously. If they do (because the real-time readings have been verified to be the same as the component data), it indicates that the gas online analyzer's readings are normal and accurate. Perform periodic verification of the gas online analyzer using a predetermined verification frequency, such as once a day or three times a day. In actual production, if a gas online analyzer passes the trace valve position verification using standard gas, and the real-time readings of the gas online analyzer also change with the production system, it indicates that the gas online analyzer is operating normally and accurately. Only periodic purging and testing using standard gas at the trace valve position is needed. Purging refers to introducing standard gas at a certain flow rate and pressure into the gas channel, sampling system, or sensing chamber of the gas online analyzer to remove residual gas, impurities, or contaminants.

[0059] If the real-time reading is the same as the component data, but the real-time reading does not change with the fluctuations of the production system, the inlet valve is opened to the standard valve position range. The trace valve position range and the standard valve position range are determined by the production management personnel according to the type and composition of the standard gas. The inlet valve is opened to the standard valve position range, and the gas online analyzer is re-evaluated using a standard amount of standard gas. If the evaluation fails, it means that the real-time reading cannot reflect the true components in the exhaust gas. The deployment location of the gas online analyzer is located and written into the preset template to generate a manual review task. For example, a manual review task is: "Deployment location of gas online analyzer: NO online monitor at the outlet of the denitrification tower. At 10:34:27 on 2025-06-21, the deviation exceeded the limit (normal fluctuation range is: 70-150ppm, reading is 185ppm). The standard gas calibration of the trace valve position passed, but the standard gas calibration of the standard valve position failed. Current operating condition: normal production capacity operation, no fluctuation in operating condition, denitrification system online."

[0060] The manual review task is sent to a preset terminal, which is the production management personnel terminal.

[0061] S300: Read the remaining amount of standard gas. When the remaining amount is less than the threshold, set the standard gas recovery position and connect it to the bypass system to generate a verification task and integrate it into the verification task.

[0062] The remaining amount of standard gas in the standard gas storage tank is read. The remaining amount can be calculated by pressure sensors or flow meters. When the remaining amount is detected to be lower than a preset threshold (e.g., 10%), the standard gas recovery location is determined. The recovery location is a backup storage tank, a centralized recovery container, or a refill module, etc., used to receive the remaining standard gas that has not been completely exhausted but is still usable. The backup storage tank or centralized recovery container at this recovery location is connected to the bypass system to generate a verification task and integrate the verification task with the manual review task.

[0063] In practical use, when calibrating the standard gas at the trace valve position and the standard gas at the standard valve position of the online gas analyzer, the calibrated gas is collected in a spare storage tank or recovery container at the recovery location for recycling. However, due to residual exhaust gas or air in the pipeline, the composition of the recovered standard gas may change. Therefore, the calibration task is to manually detect and redetermine the true composition of the standard gas in the spare storage tank or recovery container for recycling.

[0064] In Example 2, Figure 2 The implementation flow of the anomaly detection method for online gas analysis provided by an embodiment of the present invention is illustrated. The steps of acquiring real-time readings and editing the evaluation set are described in detail below:

[0065] S101: Collect operational data from all online gas analysis devices, wherein the operational data includes at least: real-time readings, timestamps, and operational status.

[0066] Collect operational data from all online gas analyzers. This data includes the concentration values ​​of each gas component (e.g., SO2, NO). X The real-time readings of the gas online analyzer (such as CO2) correspond to the time, and the operating status of the gas online analyzer (including "running", "standby", "maintenance", "signal interruption").

[0067] S102: Determine whether the operating data meets the discrimination rules. If so, define the deployment location of the corresponding online gas analysis equipment as a risk point.

[0068] If the real-time reading of a gas online analyzer meets the discrimination rule, the deployment location of the corresponding gas online analyzer is defined as a risk point.

[0069] In Example 3, Figure 2 The implementation flow of the anomaly detection method for online gas analysis provided by an embodiment of the present invention is illustrated below. The steps of comparing the real-time readings and the evaluation set to define the risk points are described in detail below:

[0070] S103: Configure the risk level corresponding to each discrimination rule, wherein the risk level includes at least: high, medium and low, and write the risk level into the evaluation set.

[0071] The risk level of each discrimination rule is determined as high, medium, or low. For example, if the discrimination rule is: the difference between two consecutive sampling data exceeds ±50% of the average of the data in the previous 10 minutes, the cause of this phenomenon may be: gas flow path blockage, sensor slow response, etc. The corresponding risk level in the evaluation set is high. The correspondence between discrimination rules and risk levels is stored in the evaluation set. Gas online analysis equipment with a high risk level should be dealt with in a timely manner.

[0072] S104: Based on the deployment location, draw a monitoring distribution map, mark the risk level on the monitoring distribution map, and edit the handling rules corresponding to each risk level.

[0073] The deployment locations of the online gas analyzers are marked on the PID diagram (used to show the deployment locations of various pipeline connections, valves, pumps, and other equipment in the process flow, as well as the arrangement of various instruments, sensors, controllers, and control loops), generating a monitoring distribution map. The risk level of each deployment location is marked on the monitoring distribution map. Different handling rules are set for different risk levels. The handling rules are the specific methods for handling the online gas analyzers. For example, the handling rule corresponding to the high-risk level is: notify production management personnel to handle it immediately, while the handling rule corresponding to the low-risk level is: handle it through relevant personnel during the next inspection.

[0074] In Example 4, Figure 3 The implementation flow of the anomaly detection method for online gas analysis provided by an embodiment of the present invention is illustrated. The following details the steps of obtaining control permissions for the bypass pipeline at the risk point, opening the inlet valve of the standard gas, adjusting the inlet valve to the trace valve position range, and reading the component data of the standard gas:

[0075] S201: Obtain control authority for the intake valve in the bypass pipeline via the preset DCS central control system.

[0076] The control authority for the intake valve in the bypass pipeline is obtained from the DCS central control system, thereby enabling the opening and closing of the bypass pipeline and flow control.

[0077] S202: Identify the design parameters of the online gas analysis device, wherein the design parameters include at least: measurement range and accuracy, and configure the micro valve position range and standard valve position range based on the design parameters.

[0078] Based on the design parameters of the online gas analyzer, including measurement range and measurement accuracy, the measurement range refers to the upper and lower limits of gas concentration that the equipment can accurately detect, while the accuracy reflects the measurement error or deviation range of the equipment within that range. Two valve position intervals are set: a trace valve position interval and a standard valve position interval. Furthermore, the trace valve position interval has a small valve opening and extremely low gas flow rate, which is used for purging and anomaly identification operations for low-concentration or trace gases. The standard valve position interval corresponds to a larger valve opening, which can further verify the online gas analyzer.

[0079] In Example 5, Figure 4 The implementation flow of the anomaly detection method for online gas analysis provided by an embodiment of the present invention is illustrated. The following details the steps of setting the standard gas recovery location, connecting it to the bypass system, generating a verification task, and integrating it into the verification task:

[0080] S301: Create a task set consisting of verification tasks and manual review tasks, and set the priority for each deployment location.

[0081] When multiple verification tasks and manual review tasks are generated, they are stored together to obtain a task set. In other words, the task set is a collection of verification tasks and manual review tasks. Based on the deployment location, usage, and monitored process pipelines of each gas online analyzer, the priority of each gas online analyzer and its corresponding deployment location is determined.

[0082] S302: Adjust the task set according to the priority from high to low.

[0083] The higher the priority, the higher the corresponding verification task or manual review task needs to be processed. The order of verification tasks and manual review tasks in the task set is adjusted according to the priority from high to low.

[0084] In Example 6, unlike Example 1, the method further includes:

[0085] Establish a pollutant time series database, configure the historical change trend of each emission device, compare the real-time readings with the historical change trends, and identify the target device;

[0086] The target device is integrated into the manual review task.

[0087] Historical monitoring data on pollutants emitted from different emission devices are collected and organized, and a time-series database is constructed in chronological order. In other words, the time-series database shows the trend of pollutant concentration changes at each emission device over different time periods. Emission devices refer to chemical production equipment that generates pollutants. Trend analysis and model fitting are performed on the data of each emission device to extract typical emission patterns and change characteristics, forming a standard historical trend curve. By comparing real-time readings with historical trends, emission devices with abnormal emissions are identified, i.e., target devices, and these target devices are added to the manual review task.

[0088] In Example 7, unlike Example 1, the method further includes:

[0089] Obtain production adjustment tasks, determine the possible fluctuation time of evaluation indicators, and construct time windows;

[0090] When the time window arrives, the deployment location will be pushed to the DCS central control system.

[0091] After receiving a production adjustment task, the possible fluctuation time of the evaluation indicators is estimated, and a time window is constructed. If the real-time reading of a certain gas online analysis device is different from the component data, and the real-time reading does not change with the fluctuation of the production system, and the corresponding time is within the time window, then a manual review task is not directly generated. Instead, the deployment location is pushed to the DCS central control system for verification by production management personnel.

[0092] For example, due to capacity adjustments, the load on the production system may increase significantly. Through estimation, it is determined that the operating conditions may fluctuate after 3 minutes, and the production system will also fluctuate simultaneously. The fluctuation period may be 3 minutes, but the production system needs to be restored to a stable state within 10 minutes (if the production system is in an unstable state for a long time, it is easy to cause fluctuations in product quality, unstable exhaust emissions, and even safety accidents). The time window is 3 minutes to 10 minutes. If the real-time reading of the gas online analyzer differs from the component data within this time period, the real-time reading will not change with the fluctuation of the production system. Instead of directly generating a manual review task, the deployment location of the gas online analyzer is sent to the DCS central control system to remind production management personnel to pay extra attention.

[0093] Figure 5 This diagram illustrates the structural block diagram of an anomaly detection system for online gas analysis provided in an embodiment of the present invention. The anomaly detection system 1 for online gas analysis includes:

[0094] The reading module 11 is used to locate the deployment location of the online gas analysis device, collect real-time readings, create an evaluation set composed of several discrimination rules, compare the real-time readings and the evaluation set, define risk points, obtain control permissions for the bypass pipeline at the risk points, open the inlet valve of the standard gas, adjust the inlet valve to the micro valve position range, and read the component data of the standard gas, wherein the component data consists of gas type and concentration value;

[0095] The judgment module 12 is used to determine whether the real-time reading is the same as the component data. If so, it identifies the main pollutant from the real-time reading, locates the generating equipment of the main pollutant, and configures several evaluation indicators, wherein the evaluation indicators include at least: output and operating conditions. It determines whether the real-time reading and the evaluation indicators will change synchronously. If so, it purges the online analysis equipment using a pre-defined verification frequency through the control authority. If not, it opens the air intake valve to the standard valve position range and judges again whether the real-time reading is the same as the component data. If not, it writes the deployment location into a preset template, generates a manual review task, and sends it to a preset terminal.

[0096] The integration module 13 is used to read the remaining amount of standard gas. When the remaining amount is less than a threshold, the standard gas recovery position is set and connected to the bypass system to generate a verification task and integrate it into the verification task.

[0097] Figure 6 This diagram illustrates the structural composition of an anomaly detection system for online gas analysis provided in an embodiment of the present invention. The reading module 11 includes:

[0098] The acquisition unit 111 is used to acquire the operating data of all gas online analysis devices, wherein the operating data includes at least: real-time readings, timestamps, and operating status;

[0099] Define unit 112 to determine whether the operating data meets the discrimination rules. If so, define the deployment location of the corresponding gas online analysis equipment as a risk point.

[0100] The writing unit 113 is used to configure the risk level corresponding to each discrimination rule, wherein the risk level includes at least: high, medium and low, and write the risk level into the evaluation set;

[0101] The editing unit 114 is used to draw a monitoring distribution map based on the deployment location, mark the risk level on the monitoring distribution map, and edit the handling rules corresponding to each risk level.

[0102] Figure 7This diagram illustrates the structural block diagram of an anomaly detection system for online gas analysis provided in an embodiment of the present invention. The detection module 12 includes:

[0103] The acquisition unit 121 is used to read the process flow data at the deployment location via a preset DCS central control system and obtain the control authority of the intake valve in the bypass pipeline.

[0104] The identification unit 122 is used to identify the design parameters of the gas online analysis device, wherein the design parameters include at least: measurement range and accuracy, and based on the design parameters, configure the micro valve position range and the standard valve position range.

[0105] Figure 8 This diagram illustrates the structural composition of an anomaly detection system for online gas analysis provided in an embodiment of the present invention. The integrated module 13 includes:

[0106] Setting unit 131 is used to create a task set consisting of verification tasks and manual review tasks, and to set the priority of each deployment location;

[0107] Adjustment unit 132 is used to adjust the task set in descending order of priority.

[0108] The reading module 11 is mainly used to complete step S100, the judgment module 12 is mainly used to complete step S200, and the integration module 13 is mainly used to complete step S300.

[0109] The acquisition unit 111 is mainly used to complete step S101, the definition unit 112 is mainly used to complete step S102, the writing unit 113 is mainly used to complete step S103, and the editing unit 114 is mainly used to complete step S104.

[0110] The acquisition unit 121 is mainly used to complete step S201, and the identification unit 122 is mainly used to complete step S202.

[0111] The setting unit 131 is mainly used to complete step S301, and the adjustment unit 132 is mainly used to complete step S302.

[0112] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0113] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0114] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An anomaly discrimination method for online analysis of a gas, characterized by, The method includes: The deployment location of the online gas analysis device is located, real-time readings are collected, an evaluation set consisting of several discrimination rules is created, the real-time readings and the evaluation set are compared, risk points are defined, control permissions for bypass pipelines at risk points are obtained, the inlet valve of the standard gas is opened and adjusted to the micro valve position range, the component data of the standard gas is read, wherein the component data consists of gas type and concentration value, and it is determined whether the real-time readings and component data are the same. If so, identify the main pollutants from the real-time readings, locate the emission equipment of the main pollutants, configure several evaluation indicators, wherein the evaluation indicators include at least: output and operating conditions, determine whether the real-time readings and evaluation indicators will change synchronously, if so, through the control authority, use the pre-defined verification frequency to purge the online analysis equipment, if not, open the intake valve to the standard valve position range, and determine again whether the real-time readings and component data are the same; If not, the deployment location is written into a preset template to generate a manual review task, which is then sent to a preset terminal. The remaining amount of standard gas is read. When the remaining amount is less than the threshold, the standard gas recovery position is set and connected to the bypass system. A verification task is generated and integrated into the verification task. The steps of obtaining control authority for the bypass pipeline at the risk point, opening the inlet valve of the standard gas, adjusting the inlet valve to the micro-valve position range, and reading the component data of the standard gas include: The control authority for the intake valve in the bypass pipeline is obtained through the preset DCS central control system. Identify the design parameters of the online gas analysis device, wherein the design parameters include at least: measurement range and accuracy, and configure the micro valve position range and standard valve position range based on the design parameters; The method further includes: Establish a pollutant time series database, configure the historical change trend of each emission device, compare the real-time readings with the historical change trends, and identify the target device; The target device is integrated into the manual review task.

2. The anomaly detection method for online gas analysis according to claim 1, characterized in that, The steps of collecting real-time readings and editing the evaluation set include: Collect operational data from all online gas analysis devices, wherein the operational data includes at least: real-time readings, timestamps, and operational status; Determine whether the operational data meets the discrimination rules. If so, define the deployment location of the corresponding online gas analysis equipment as a risk point.

3. The anomaly detection method for online gas analysis according to claim 2, characterized in that, The step of comparing the real-time readings and the evaluation set to define the risk points includes: Configure the risk level corresponding to each discrimination rule, wherein the risk level includes at least: high, medium and low, and write the risk level into the evaluation set; Based on the deployment location, a monitoring distribution map is drawn, the risk level is marked on the monitoring distribution map, and the corresponding handling rules for each risk level are edited.

4. The anomaly detection method for online gas analysis according to claim 3, characterized in that, The steps of setting the standard gas recovery location, connecting it to the bypass system, generating a calibration task, and integrating it into the calibration task include: Create a task set consisting of verification tasks and manual review tasks, and set the priority for each deployment location; The task set is adjusted according to the priority order from high to low.

5. The anomaly detection method for online gas analysis according to claim 1, characterized in that, The method further includes: Obtain production adjustment tasks, determine the possible fluctuation time of evaluation indicators, and construct time windows; When the time window arrives, the deployment location will be pushed to the DCS central control system.

Images