Safety early warning method for coal-water coordination control

Abstract

The invention relates to the field of coal water control, in particular to a safety early warning method for coal water coordination control, which comprises a data acquisition module, a danger early warning module, an early warning processing module and a manual optimization module, the danger early warning module comprises sensing data transmission comparison and early warning response, the early warning processing module comprises instrument automatic processing and manual processing, the manual optimization module comprises manual system improvement and manual training drilling, sensors can be placed at different positions, data collection can be increased on a large scale, the data accuracy is improved, and the accuracy of the data is improved. According to the utility model, the data is analyzed through the controller, grading early warning is carried out, small alarm situations can be automatically processed through the controller, when large alarm situations occur, related personnel can be assisted to process the large alarm situations, the labor intensity of the related personnel is reduced, and the emergency processing capability is improved by training operators and organizing emergency drilling at regular intervals.

Description

Technical Field

[0001] This invention relates to the field of coal and water control, specifically to a safety early warning method for coordinated coal and water control. Background Technology

[0002] Coal-water coordination control is a crucial aspect of boiler operation across various types. In once-through boilers, the coal-water ratio is one of the primary control points. The coal-water ratio is closely related to the main air temperature regulation, serving as a leading control signal for this regulation, while the desuperheating water is merely an auxiliary means of precisely adjusting the main air temperature.

[0003] When a boiler is in operation, relevant personnel need to constantly observe it to prevent large changes in the internal temperature. However, the boiler temperature is closely related to the quality of coal, the water content in the water tank, and the concentration of oxygen and carbon monoxide in the furnace. This requires relevant personnel to observe the coal bunker, water tank, boiler opening, pump station, boiler interior, and superheater outlet, which increases the workload of relevant personnel and makes it impossible to observe the furnace temperature at all times. Therefore, it is necessary to propose a safety early warning method for coal-water coordinated control. Summary of the Invention

[0004] To address the problems in the prior art, this invention provides a safety early warning method for coal-water coordinated control.

[0005] The technical solution adopted by the present invention to solve its technical problem is: a safety early warning method for coal-water coordinated control, including a data acquisition module, a danger early warning module, an early warning processing module and a manual optimization module.

[0006] Specifically, A: The data acquisition module includes sensor installation and real-time sensor monitoring; B: The hazard warning module includes comparison with sensor data transmission and warning response; C: The early warning processing module includes automated instrument processing and manual processing; D: The manual optimization module includes manual system improvement and manual training exercises.

[0007] Specifically, sensor installation involves fixing different types of sensors at key nodes in the coal-water system, such as coal bunkers, water tanks, boiler inlets, pump stations, boiler interiors, and superheater outlets; real-time sensor monitoring involves transmitting continuously collected data from different types of sensors to the controller for collection and processing.

[0008] Specifically, the hazard warning module is a controller that performs noise reduction and standardization processing on data collected by different types of sensors, and compares the processed data with data such as quantity, capacity, temperature, oxygen quantity, and heat preset by the controller. The warning processing classifies the degree of hazard based on the data such as quantity, capacity, temperature, oxygen quantity, and heat preset by the controller, and divides the degree of hazard into warning levels such as Level 1, Level 2, and Level 3. When the data collected by the sensors reaches different warning levels, the controller issues a warning signal to issue a warning.

[0009] Specifically, automated processing involves the controller adjusting and optimizing parameters and thresholds for the coal and water equipment when the data collected by the sensors reaches a low warning level. After adjustment, the controller re-compares the data collected by the sensors to determine whether the equipment is in a safe operating state. Manual processing involves the controller notifying relevant personnel to inspect and handle the situation when the data collected by the sensors reaches a high warning level.

[0010] Specifically, manual system improvement involves relevant personnel analyzing the early warning events afterward and inputting the analyzed data into the controller for optimization or adjustment of thresholds; manual training and drills involve regularly training operators to ensure they are familiar with the early warning mechanism and emergency response procedures, organizing emergency drills, and improving the team's emergency response capabilities.

[0011] Specifically, a Level 1 warning indicates a minor abnormality in the controller and suggests monitoring; a Level 2 warning indicates a moderate abnormality in the controller and requires relevant personnel to adjust operating parameters; and a Level 3 warning indicates a severe abnormality in the controller and requires relevant personnel to immediately stop the machine for inspection.

[0012] Specifically, different types of sensors need to be numbered according to the different regions where they are installed.

[0013] The beneficial effects of this invention are: (1) The safety early warning method for coal-water coordinated control described in this invention involves installing sensors on key nodes inside the coal-water equipment, and using these sensors to monitor key parameters such as temperature, pressure, flow rate, and liquid level in real time. The received data is cleaned, preprocessed, and a predictive model is established. By setting safety thresholds and real-time monitoring, different abnormal data are graded for early warning. From minor to severe, measures such as monitoring, adjusting operating parameters, or stopping the machine for inspection are taken. The system can automatically handle minor and moderate abnormalities, and notify personnel to inspect and handle severe abnormalities. Post-event analysis of early warning events is fed back to model optimization and threshold adjustment to continuously improve the effectiveness of the early warning system. Regular training and emergency drills are conducted for operators to improve emergency response capabilities. Sensors can be placed in different locations to significantly increase data collection and accuracy. The data is analyzed by the controller. By implementing graded early warnings, minor incidents can be handled automatically by the controller, while major incidents can be handled by assisting relevant personnel, reducing their workload. Regular training and emergency drills for operators further enhance emergency response capabilities. Attached Figure Description

[0014] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0015] Figure 1 A schematic diagram of the early warning process structure of a safety early warning method for coal-water coordinated control provided by the present invention; Figure 2 This invention provides a schematic diagram of the early warning threshold adjustment process of a safety early warning method for coal-water coordinated control. Figure 3 This is a schematic diagram of the personnel pre-training and drill flow structure for a safety early warning method for coal-water coordinated control provided by the present invention. Detailed Implementation

[0016] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.

[0017] like Figures 1-3 As shown, the safety early warning method for coal-water coordinated control according to the present invention includes a data acquisition module, a hazard early warning module, an early warning processing module, and a manual optimization module.

[0018] Wherein, A: The data acquisition module includes sensor installation and real-time sensor monitoring; B: The hazard warning module includes comparison with sensor data transmission and warning response; C: The early warning processing module includes automated instrument processing and manual processing; D: The manual optimization module includes manual system improvement and manual training exercises.

[0019] The sensor installation involves fixing different types of sensors at key nodes in the coal-water system, such as coal bunkers, water tanks, boiler inlets, pump stations, boiler interiors, and superheater outlets. The real-time sensor monitoring involves transmitting continuously collected data from different types of sensors to the controller for processing.

[0020] The hazard warning module is a controller that performs noise reduction and standardization processing on data collected by different types of sensors, and compares the processed data with data such as quantity, capacity, temperature, oxygen quantity, and heat preset by the controller. The warning processing classifies the degree of danger based on the data such as quantity, capacity, temperature, oxygen quantity, and heat preset by the controller, and divides the degree of danger into warning levels such as Level 1, Level 2, and Level 3. When the data collected by the sensors reaches different warning levels, the controller issues a warning signal to issue a warning.

[0021] The automated processing of the equipment involves the controller adjusting and optimizing the parameters and thresholds of the coal and water equipment when the data collected by the sensors reaches a low warning level. After adjustment, the controller re-compares the data collected by the sensors to determine whether the equipment is in a safe operating state. The manual processing involves the controller notifying relevant personnel to conduct inspections and handle the situation when the data collected by the sensors reaches a high warning level.

[0022] The aforementioned manual system improvement involves relevant personnel analyzing the early warning events afterward and inputting the analyzed data into the controller for optimization or adjustment of thresholds; the aforementioned manual training and drills involve regularly training operators to ensure they are familiar with the early warning mechanism and emergency response procedures, organizing emergency drills, and improving the team's emergency response capabilities.

[0023] The first-level warning indicates a minor abnormality in the controller and suggests monitoring; the second-level warning indicates a moderate abnormality in the controller and requires relevant personnel to adjust the operating parameters; and the third-level warning indicates a severe abnormality in the controller and requires relevant personnel to immediately stop the machine for inspection.

[0024] The different types of sensors need to be numbered according to the different regions where they are installed.

[0025] The controller code displays: # Define a function to issue an early warning based on the level of danger. def warn_based_on_danger_level(danger_level): """ Warnings will be issued based on the level of danger. parameter: danger_level (int): Danger level, assuming 1 is the lowest level and 3 is the highest level. Exception handling: - If danger_level is not an integer, a ValueError exception is thrown. """ # Check if the input is an integer if not isinstance(danger_level, int): raise ValueError("The danger level must be an integer") # Issue warnings based on hazard levels if danger_level == 1: print("Warning: Monitor carefully, potential hazard level is low") elif danger_level == 2: print("Warning: High potential hazard level, Medium potential hazard level") elif danger_level == 3: print("Warning: Catastrophic warning: Evacuate immediately, danger is imminent") print("") else: # If danger_level is not in the range of 1 to 3, print an error message. print("Error: Hazard level is not within the range of 1 to 5") # Example usage try: warn_based_on_danger_level(3) # Assuming the current danger level is 3 `warn_based_on_danger_level("A")` # Intentionally pass a non-integer value to trigger an exception. except ValueError as e: print(e).

[0026] In operation, several sensors are connected to the controller and an external drive source. These sensors are also connected to the controller via transmission lines. Different sensors are fixed at the coal-water equipment. These sensors include gas concentration monitoring sensors (carbon monoxide and oxygen sensors, and methane concentration detectors), temperature monitoring sensors (non-contact temperature sensors, contact temperature sensors, HSD-T-C coal bunker hotspot detectors), and material level monitoring sensors (radar level sensors, radar level gauges). The gas concentration monitoring sensors monitor the concentrations of carbon monoxide, oxygen, and methane in the coal bunker. The temperature monitoring sensors monitor the temperature of the coal pile surface and the coal inside the silo. The material level monitoring sensors monitor the material level in the coal bunker. Liquid level sensors can be used to monitor the water tank to prevent overflow or low water levels from affecting the coal-water production process. Temperature sensors can be used to monitor the temperature at the boiler furnace opening. Flame sensors are used to monitor the flame of the boiler furnace burners to ensure combustion stability and safety. Temperature sensors can also be used to monitor the superheater outlet steam level. The steam temperature can be monitored using pressure sensors at the superheater outlet. Sensors are labeled according to their location: A1 for a sensor inside the coal bunker, A2 for a sensor inside the water tank, A3 for a sensor at the boiler borehole, and A4 for a sensor at the superheater outlet. Sensors A1, A2, A3, and A4 transmit their monitored data to the controller. The controller performs noise reduction and standardization on the received data. The standardized data is then compared with pre-entered data on quantity, capacity, temperature, oxygen content, and heat. For example, the oxygen content inside the furnace should not exceed 8%, and the superheat and superheater outlet temperature are generally controlled with the superheat at 20°C. Within a 30-degree range, when sensor data at locations A1, A2, A3, and A4 are within the standard data range, the controller does not issue a warning. When sensor data at locations A1, A2, A3, and A4 differs from the standard data, the controller issues a warning. When the deviation is within 5%, indicating a minor anomaly in the coal-water equipment, the controller issues a Level 1 warning. Sensors at locations A1, A2, A3, and A4 continue monitoring. When the deviation is within 5%-10%, indicating a moderate anomaly in the coal-water equipment, the controller issues a Level 2 warning. The controller then intervenes in the coal-water equipment and takes appropriate action. Personnel issue an early warning, and relevant personnel observe the data input from sensors located in areas A1, A2, A3, and A4 via the controller to prevent the situation from escalating. When the threshold is exceeded by more than 10%, the controller issues a level three warning. The controller immediately notifies relevant personnel to inspect and handle different areas in A1, A2, A3, and A4 until the situation is resolved. After the situation is resolved, relevant personnel summarize the data, perform early warning analysis based on the summarized data, and feed the collected data back to the controller. The controller's preset thresholds are then adjusted based on the data.Relevant personnel can also periodically evaluate the effectiveness of the early warning system and perform necessary updates and maintenance on the controller and sensors. During the evaluation, simulated sensor data can be used to determine if the controller is operating normally. When maintaining the controller and sensors, sensors that have reached their service life can be replaced. In daily operations, operators can be regularly trained to ensure they are familiar with the early warning mechanism and emergency response procedures. Emergency drills can be organized to improve the team's emergency response capabilities.

[0027] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the present invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of protection claimed by the present invention.

Claims

1. A safety early warning method for coal-water coordinated control, characterized in that: It includes a data acquisition module, a hazard warning module, a warning processing module, and a manual optimization module.

2. The safety early warning method for coal-water coordinated control according to claim 1, characterized in that: A: The data acquisition module includes sensor installation and real-time sensor monitoring; B: The hazard warning module includes comparison with sensor data transmission and warning response; C: The early warning processing module includes automated instrument processing and manual processing; D: The manual optimization module includes manual system improvement and manual training exercises.

3. The safety early warning method for coal-water coordinated control according to claim 1, characterized in that: The sensor installation involves fixing different types of sensors at key nodes in the coal-water system, such as coal bunkers, water tanks, boiler inlets, pump stations, boiler interiors, and superheater outlets. The real-time sensor monitoring involves transmitting continuously collected data from different types of sensors to the controller for processing.

4. The safety early warning method for coal-water coordinated control according to claim 1, characterized in that: The hazard warning module is a controller that performs noise reduction and standardization processing on data collected by different types of sensors, and compares the processed data with data such as quantity, capacity, temperature, oxygen quantity, and heat preset by the controller. The warning processing classifies the degree of danger based on the data such as quantity, capacity, temperature, oxygen quantity, and heat preset by the controller, and divides the degree of danger into warning levels such as Level 1, Level 2, and Level 3. When the data collected by the sensors reaches different warning levels, the controller issues a warning signal to issue a warning.

5. The safety early warning method for coal-water coordinated control according to claim 1, characterized in that: The automated processing of the equipment involves the controller adjusting and optimizing the parameters and thresholds of the coal and water equipment when the data collected by the sensors reaches a low warning level. After adjustment, the controller re-compares the data collected by the sensors to determine whether the equipment is in a safe operating state. The manual processing involves the controller notifying relevant personnel to conduct inspections and handle the situation when the data collected by the sensors reaches a high warning level.

6. The safety early warning method for coal-water coordinated control according to claim 1, characterized in that: The aforementioned manual system improvement involves relevant personnel analyzing the early warning events afterward and inputting the analyzed data into the controller for optimization or adjustment of thresholds; the aforementioned manual training and drills involve regularly training operators to ensure they are familiar with the early warning mechanism and emergency response procedures, organizing emergency drills, and improving the team's emergency response capabilities.

7. A safety early warning method for coal-water coordinated control according to claim 4, characterized in that: The first-level warning indicates a minor abnormality in the controller and suggests monitoring. The second-level warning indicates a moderate abnormality in the controller and requires relevant personnel to adjust the operating parameters. The third-level warning indicates a severe abnormality in the controller and requires relevant personnel to immediately stop the machine for inspection.

8. A safety early warning method for coal-water coordinated control according to claim 3, characterized in that: The different types of sensors need to be numbered according to the different regions where they are installed.

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