Coal pile stacking data management method and system for preventing spontaneous combustion

Abstract

The invention discloses a coal pile stacking data management method and system for preventing spontaneous combustion, and relates to the technical field of coal supervision. The method comprises the following steps: monitoring the internal temperature, the surface temperature and the environment temperature of a coal pile in real time through a temperature measuring cable, a temperature sensor and an infrared thermal imager; data are transmitted in a centralized mode through an Internet of Things platform, a Prophet model is used for predicting the temperature change trend, and abnormal temperature is detected; performing real-time early warning and calculating a temperature difference value, a change rate and a comprehensive evaluation value; automatic control over spraying, mist spraying and ventilation systems is achieved through linkage control, and appropriate countermeasures such as spraying cooling, mist spraying oxidation reaction inhibition and ventilation temperature and inflammable gas concentration reduction are selected according to the temperature condition. Multiple systems can work cooperatively, the running state is monitored in real time and dynamically adjusted, and meanwhile manual intervention is supported. The method can improve the accuracy and reliability of coal pile temperature supervision, and effectively prevents safety problems caused by temperature abnormity.

Description

Technical Field

[0001] The present invention belongs to the technical field of coal supervision, and in particular relates to a coal pile data management method and system for preventing spontaneous combustion. Background Art

[0002] Coal is self-igniting, especially when it is piled up in large quantities, the air flow inside is slow, and the heat generated by oxidation continues to accumulate. When the temperature exceeds the ignition point of the coal, it may spontaneously combust and cause a fire. This will not only cause huge economic losses, but also may cause serious damage to personnel and equipment.

[0003] The coal storage environment is complex and changeable, and real-time monitoring is required for the ambient temperature inside the coal pile, on the surface, and in the coal shed. However, traditional manual monitoring methods are not only inefficient, but also difficult to ensure the accuracy and timeliness of data.

[0004] When abnormal temperature is found, if the response measures are not timely or inappropriate, the temperature rise will not be effectively controlled, thereby increasing the risk of spontaneous combustion. Therefore, a temperature data supervision method that can monitor in real time and respond quickly is needed.

[0005] The limitations of existing technologies include single monitoring methods, insufficient data processing capabilities, and lack of intelligent control.

[0006] In order to solve the above problems, the Internet of Things technology has been introduced into the coal temperature data supervision. The Internet of Things technology can monitor the temperature data at different depths and locations in real time by deploying sensors inside, on the surface and in the surrounding environment of the coal pile. At the same time, the use of the Internet of Things platform for data transmission and processing can achieve comprehensive, accurate and real-time monitoring of temperature data. In addition, by building a temperature change trend model and early warning mechanism, temperature anomalies can be discovered in time and corresponding response measures can be initiated, thereby effectively preventing accidents such as coal spontaneous combustion. Summary of the invention

[0007] In order to overcome the shortcomings and deficiencies of the above-mentioned prior art, the first purpose of the present invention is to provide a coal pile stacking data management method for preventing spontaneous combustion; the second purpose of the present invention is to provide a coal pile stacking data management system for preventing spontaneous combustion.

[0008] The first object of the present invention adopts the following technical solution:

[0009] A method for managing coal pile data for preventing spontaneous combustion, the process is as follows:

[0010] Step 1: Data collection:

[0011] S11. Internal temperature monitoring: by burying temperature measuring cables or using temperature sensors, the temperature at different depths inside the coal pile is monitored in real time;

[0012] S12. Surface temperature monitoring: Install a temperature measuring infrared thermal imaging device on the top of the coal shed to cover the entire surface of the coal pile and capture temperature changes in real time;

[0013] S13, environmental temperature monitoring: monitor the environmental temperature of the coal shed through the temperature sensor installed in the coal shed;

[0014] Step 2: Data processing and analysis:

[0015] S21, Data Fusion: The data from each sensor is centrally transmitted to the central control system for unified management and analysis;

[0016] S22. Temperature trend analysis: Establish a temperature change trend model based on historical data to predict future temperature change trends, including data preprocessing, building a temperature change trend model, predicting future temperature changes and anomaly detection;

[0017] Step 3: Early warning mechanism:

[0018] S31, threshold setting: setting the warning thresholds of the internal temperature, surface temperature and ambient temperature according to the safety requirements of the coal pile;

[0019] S32, Real-time warning: When any temperature is detected to exceed the warning threshold, the warning mechanism will be activated immediately and a comprehensive assessment will be conducted;

[0020] Step 4: Linkage control:

[0021] Temperature monitoring and early warning: collect temperature data of coal pile in real time, analyze it through the central control system, and trigger the early warning mechanism;

[0022] Start linkage control: automatically select appropriate response measures according to the current situation, including the start of the sprinkler system, mist system and ventilation system;

[0023] Multi-system collaborative work: when necessary, multiple systems can be started simultaneously to form a synergistic effect;

[0024] Feedback and adjustment: dynamically adjust the system operation status according to temperature changes;

[0025] Manual intervention: Allows managers to manually intervene through the mobile app or web interface.

[0026] Preferably, in the data processing and analysis of step 2, the Prophet model is used to perform temperature trend analysis, automatically identify trends, seasonality and holiday effects in the data, and generate a temperature change curve.

[0027] Preferably, in the early warning mechanism of step three, the difference between the internal temperature and the surface temperature of the coal pile and the rate of change of temperature per unit time are calculated, and a comprehensive evaluation is performed in combination with the internal temperature, surface temperature and ambient temperature.

[0028] Preferably, in the linkage control of step four, when the internal temperature is too high, the sprinkler system is started first; when the surface temperature is too high, the spray system is started; when the ambient temperature is too high, the ventilation system is started.

[0029] Preferably, a manual intervention step is also included to allow management personnel to manually shut down a subsystem or adjust the operating parameters of the system when a system false alarm or failure occurs.

[0030] Preferably, data visualization and report generation are also included:

[0031] Data visualization: The collected temperature data, analysis results, warning information and system operation status information are visualized in the form of charts and dashboards, so that managers can intuitively understand the temperature status of the coal pile;

[0032] Report generation: Regularly and automatically generate reports containing temperature data analysis, warning records, system operation status and implementation of countermeasures for management personnel to review and evaluate.

[0033] The second object of the present invention adopts the following technical solution:

[0034] A coal pile data management system for preventing spontaneous combustion, used to implement a coal pile data management method for preventing spontaneous combustion, the system includes a data acquisition module, a data processing and analysis module, an early warning mechanism module and a linkage control module;

[0035] Data acquisition module: Through sensors deployed inside, on the surface and in the surrounding environment of the coal pile, temperature data at different depths and locations are collected to ensure comprehensive coverage of the temperature conditions of the coal pile;

[0036] Data processing and analysis module: centrally manage the data from various sensors, use the Internet of Things platform to achieve data transmission, clean and pre-process the data, remove outliers, and build a time series model; establish a temperature change trend model based on historical data, use the Prophet algorithm to predict future temperature changes, and identify and mark temperature anomalies that exceed the normal range;

[0037] Early warning mechanism module: Set the temperature warning threshold according to the safety standards of the coal pile. When the monitored temperature exceeds the corresponding threshold, the alarm is immediately triggered to notify relevant personnel and prepare to take measures; combine multiple temperature data including internal, surface and ambient temperature data to conduct comprehensive risk assessment and assist the decision-making process;

[0038] Linkage control module: Automated responses include automatically starting the sprinkler system, mist system or ventilation system to quickly reduce the temperature and prevent spontaneous combustion of coal; running multiple cooling systems simultaneously when necessary to provide more effective cooling effects; real-time monitoring of the operating status of each system and automatically adjusting operating parameters based on actual conditions; and allowing managers to manually intervene through mobile applications or web interfaces.

[0039] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0040] 1. The present invention can accurately reflect the temperature status of the coal pile in real time through all-round monitoring of the internal, surface and ambient temperatures, combined with advanced data processing and analysis technology, timely warn of potential safety hazards, and effectively prevent accidents such as spontaneous combustion of coal.

[0041] 2. The present invention uses advanced algorithms such as the Prophet model to conduct in-depth mining of historical temperature data, build a temperature change trend model, and achieve accurate prediction of future temperature changes. This provides managers with a scientific basis for decision-making, helps to take measures in advance, and reduce risks.

[0042] 3. The present invention is closely linked with the sprinkler system, the spray system and the ventilation system to achieve rapid response and automatic control of temperature anomalies. This intelligent control method not only improves the cooling efficiency, but also reduces labor costs and enhances the stability and reliability of the system.

[0043] 4. The linkage control system of the present invention can dynamically adjust the operating status of each subsystem according to the actual temperature change to ensure that the temperature is effectively controlled. At the same time, the system also supports manual intervention, and the management personnel can perform manual operation under special circumstances, which improves the flexibility and applicability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 A flow chart of a coal pile data management method for preventing spontaneous combustion according to the present invention is shown. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0048] Embodiment 1:

[0049] See also Figure 1 As shown, a coal pile data management method for preventing spontaneous combustion in this embodiment comprises the following steps:

[0050] Step 1: Data collection.

[0051] S11. Internal temperature monitoring: By burying temperature measuring cables or using temperature sensors, the temperature at different depths inside the coal pile can be monitored in real time. For example, using an inserted thermometer, a temperature measuring point is set every 2 meters to monitor the temperature at different depths inside the coal pile in real time.

[0052] S12. Surface temperature monitoring: Multiple sets of temperature measuring infrared thermal imagers are installed on the top of the coal shed to cover the entire surface of the coal pile and capture temperature changes in real time. Infrared thermal imagers can quickly generate temperature distribution maps to help identify high temperature areas.

[0053] For example, multiple sets of temperature measuring infrared thermal imaging equipment are installed on the top of the coal shed to monitor the surface temperature of the coal pile in real time.

[0054] S13. Ambient temperature monitoring: The ambient temperature of the coal shed is monitored by installing temperature sensors in the coal shed.

[0055] Step 2: Data processing and analysis.

[0056] S21. Data fusion: Through the IoT platform, the data of each sensor, including internal temperature, surface temperature and ambient temperature, is centrally transmitted to the central control system for unified management and analysis. Data fusion can improve the accuracy and reliability of monitoring and avoid the limitations of a single data source.

[0057] S22. Temperature trend analysis: Establish a temperature change trend model based on historical data to predict future temperature change trends.

[0058] Specifically,

[0059] S221. Data preprocessing.

[0060] The historical temperature data of m months is cleaned to remove outliers and missing values. After cleaning, a time series data set is obtained, which contains temperature measurements at 24 time points every day; the data of the first m-1 months is used as the training set, and the data of the last month is used as the test set.

[0061] S222. Construct a temperature change trend model.

[0062] Since the temperature of the coal pile may vary seasonally (such as higher temperatures in summer and lower temperatures in winter) and has a certain trend (such as the temperature gradually rises as the coal pile time increases), the Prophet model is used to perform temperature trend analysis.

[0063] The Prophet model is trained using the training set data. The Prophet model automatically identifies trends, seasonality, and holiday effects in the data and generates a well-fitting temperature change curve.

[0064] Use the test set data to verify the predictive performance of the model.

[0065] S223. Predict future temperature changes.

[0066] Based on the trained Prophet model, the temperature change in the next n days is predicted. The output of the model shows the temperature change inside the coal pile in the next n days.

[0067] S224, abnormality detection: detect temperature abnormalities by comparing with the normal temperature range.

[0068] Step 3: Early warning mechanism.

[0069] Threshold setting: Set the warning thresholds for internal temperature, surface temperature and ambient temperature according to the safety requirements of the coal pile.

[0070] Real-time warning: When any temperature is detected to exceed the warning threshold, the warning mechanism will be activated immediately.

[0071] Calculate the difference between the internal temperature and the surface temperature of the coal pile using the following formula:

[0072] ΔT=T nb -T bm ;

[0073] Among them, Tnb is the internal temperature of the coal pile; T bm is the surface temperature of the coal pile.

[0074] Calculate the rate of change of temperature per unit time using the following formula:

[0075]

[0076] Wherein, T(t) is the temperature at the current moment; T(t+Δt) is the temperature at the next moment; Δt is the time interval.

[0077] Combine the internal temperature, surface temperature and ambient temperature to make a comprehensive assessment and calculate the comprehensive assessment value. The calculation formula is as follows:

[0078]

[0079] Among them, ω 1 ,ω 2 ,ω 3 is the weight coefficient; T hj is the ambient temperature; T bz is the standard ambient temperature.

[0080] For example, the internal temperature warning threshold is set to 60°C, the surface temperature warning threshold is set to 50°C, and the ambient temperature warning threshold is set to 40°C. When any temperature exceeds the warning threshold, the alarm will be activated immediately and the management personnel will be notified through the mobile phone APP. The sprinkler system or the spray system will be activated to quickly reduce the temperature of the coal pile.

[0081] Step 4: Linkage control: Link with the sprinkler system, mist system and ventilation system to achieve automatic control.

[0082] Temperature monitoring and early warning: The temperature monitoring system collects temperature data of the coal pile in real time and analyzes it through the central control system. If any temperature (internal temperature, surface temperature or ambient temperature) is detected to exceed the preset early warning threshold (such as internal temperature 60℃, surface temperature 50℃, ambient temperature 40℃), the early warning mechanism will be triggered immediately.

[0083] Start linkage control: When the temperature exceeds the warning threshold, the central control system will automatically select appropriate response measures based on the current situation. For example:

[0084] If the internal temperature is too high, start the sprinkler system first to spray water into the coal pile to quickly cool it down.

[0085] If the surface temperature is too high, start the spray system to increase the air humidity and inhibit surface oxidation reactions.

[0086] If the ambient temperature is too high, start the ventilation system to increase air circulation, reduce the temperature and flammable gas concentration inside the coal pile, and slow down the oxidation reaction.

[0087] Multiple systems work together: In some cases, it may be necessary to start multiple systems at the same time. For example, when the internal temperature and surface temperature exceed the threshold at the same time, the sprinkler system and the mist system can be started at the same time to form a double cooling effect. In addition, the ventilation system can also be started synchronously to further reduce the temperature and flammable gas concentration inside the coal pile.

[0088] Feedback and adjustment: The linkage control system monitors the operating status of each subsystem in real time and makes dynamic adjustments according to temperature changes. For example, if the temperature drops to a safe range, the system will automatically stop spraying or misting to avoid wasting water resources; if the temperature continues to rise, the system will increase the amount of water sprayed or the amount of ventilation to ensure that the temperature is effectively controlled.

[0089] Manual intervention: Although the linkage control system is automated, in some special cases, managers can still intervene manually through the mobile phone APP or web interface. For example, if the system misreports or fails, managers can manually shut down a subsystem or adjust the system's operating parameters.

[0090] The beneficial effects of this embodiment are as follows: this embodiment improves the accuracy and reliability of temperature monitoring through real-time monitoring and analysis; the early warning and linkage control mechanism can effectively prevent temperature anomalies and take timely measures; at the same time, multi-system collaboration and manual intervention functions enhance the flexibility and practicality of the system.

[0091] Embodiment 2:

[0092] A coal pile data management system for preventing spontaneous combustion in this embodiment includes a data acquisition module, a data processing and analysis module, an early warning mechanism module, and a linkage control module.

[0093] Data acquisition module: By deploying sensors inside, on the surface and in the surrounding environment of the coal pile, temperature data at different depths and locations are collected to ensure comprehensive coverage of the temperature conditions of the coal pile.

[0094] Data processing and analysis module: Centrally manage the data from various sensors, use the Internet of Things platform to realize data transmission, clean and pre-process the data, remove outliers, and build a time series model; establish a temperature change trend model based on historical data, use the Prophet algorithm to predict future temperature changes, and identify and mark temperature anomalies that exceed the normal range.

[0095] Early warning mechanism module: Set the temperature warning threshold according to the safety standards of the coal pile. When the monitored temperature exceeds the corresponding threshold, the alarm is immediately triggered, the relevant personnel are notified, and measures are prepared to be taken; a comprehensive risk assessment is conducted by combining multiple temperature data including internal, surface, and ambient temperature data to assist the decision-making process.

[0096] Linkage control module: Automated responses include automatically starting the sprinkler system, mist system or ventilation system to quickly reduce the temperature and prevent spontaneous combustion of coal; running multiple cooling systems simultaneously when necessary to provide more effective cooling effects; real-time monitoring of the operating status of each system and automatically adjusting operating parameters based on actual conditions; and allowing managers to manually intervene through mobile applications or web interfaces.

[0097] The beneficial effects of this embodiment are as follows: this embodiment realizes comprehensive and real-time temperature monitoring and analysis, effectively prevents spontaneous combustion of coal through precise early warning mechanism and efficient linkage control, improves the level of safety management, and supports intelligent automatic adjustment and manual intervention to ensure that the temperature of the coal pile is within a safe range and reduce risks.

[0098] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

[0099] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method for managing coal pile data for preventing spontaneous combustion, characterized in that: The method flow is as follows: Step 1: Data collection: S11. Internal temperature monitoring: by burying temperature measuring cables or using temperature sensors, the temperature at different depths inside the coal pile is monitored in real time; S12. Surface temperature monitoring: Install a temperature measuring infrared thermal imaging device on the top of the coal shed to cover the entire surface of the coal pile and capture temperature changes in real time; S13, environmental temperature monitoring: monitor the environmental temperature of the coal shed through the temperature sensor installed in the coal shed; Step 2: Data processing and analysis: S21, Data Fusion: The data from each sensor is centrally transmitted to the central control system for unified management and analysis; S22. Temperature trend analysis: Establish a temperature change trend model based on historical data to predict future temperature change trends, including data preprocessing, building a temperature change trend model, predicting future temperature changes and anomaly detection; Step 3: Early warning mechanism: S31, threshold setting: setting the warning thresholds of the internal temperature, surface temperature and ambient temperature according to the safety requirements of the coal pile; S32, Real-time warning: When any temperature is detected to exceed the warning threshold, the warning mechanism will be activated immediately and a comprehensive assessment will be conducted; Step 4: Linkage control: Temperature monitoring and early warning: collect temperature data of coal pile in real time, analyze it through the central control system, and trigger the early warning mechanism; Start linkage control: automatically select appropriate response measures according to the current situation, including the start of the sprinkler system, mist system and ventilation system; Multi-system collaborative work: when necessary, multiple systems can be started simultaneously to form a synergistic effect; Feedback and adjustment: dynamically adjust the system operation status according to temperature changes; Manual intervention: Allows managers to manually intervene through the mobile app or web interface.

2. A method for managing coal pile data for preventing spontaneous combustion according to claim 1, characterized in that: In the data processing and analysis of step 2, the Prophet model is used to perform temperature trend analysis, automatically identify trends, seasonality and holiday effects in the data, and generate a temperature change curve.

3. A method for managing coal pile data for preventing spontaneous combustion according to claim 1, characterized in that: In the early warning mechanism of step three, the difference between the internal temperature and the surface temperature of the coal pile and the rate of change of temperature per unit time are calculated, and a comprehensive evaluation is performed in combination with the internal temperature, surface temperature and ambient temperature.

4. A method for managing coal pile data for preventing spontaneous combustion according to claim 1, characterized in that: In the linkage control of step 4, when the internal temperature is too high, the sprinkler system is started first; when the surface temperature is too high, the spray system is started; when the ambient temperature is too high, the ventilation system is started.

5. A method for managing coal pile data for preventing spontaneous combustion according to claim 1, characterized in that: It also includes a manual intervention step that allows managers to manually shut down subsystems or adjust system operating parameters when the system falsely alarms or fails.

6. A method for managing coal pile data for preventing spontaneous combustion according to claim 1, characterized in that: Also includes data visualization and report generation: Data visualization: The collected temperature data, analysis results, warning information and system operation status information are visualized in the form of charts and dashboards, so that managers can intuitively understand the temperature status of the coal pile; Report generation: Regularly and automatically generate reports containing temperature data analysis, warning records, system operation status and implementation of countermeasures for management personnel to review and evaluate.

7. A coal pile data management system for preventing spontaneous combustion, used to implement a coal pile data management method for preventing spontaneous combustion as claimed in claim 1, characterized in that: The system includes a data acquisition module, a data processing and analysis module, an early warning mechanism module and a linkage control module; Data acquisition module: Through sensors deployed inside, on the surface and in the surrounding environment of the coal pile, temperature data at different depths and locations are collected to ensure comprehensive coverage of the temperature conditions of the coal pile; Data processing and analysis module: centrally manage the data from various sensors, use the Internet of Things platform to achieve data transmission, clean and pre-process the data, remove outliers, and build a time series model; establish a temperature change trend model based on historical data, use the Prophet algorithm to predict future temperature changes, and identify and mark temperature anomalies that exceed the normal range; Early warning mechanism module: Set the temperature warning threshold according to the safety standards of the coal pile. When the monitored temperature exceeds the corresponding threshold, the alarm is immediately triggered to notify relevant personnel and prepare to take measures; combine multiple temperature data including internal, surface and ambient temperature data to conduct comprehensive risk assessment and assist the decision-making process; Linkage control module: Automated responses include automatically starting the sprinkler system, mist system or ventilation system to quickly reduce the temperature and prevent spontaneous combustion of coal; running multiple cooling systems simultaneously when necessary to provide more effective cooling effects; real-time monitoring of the operating status of each system and automatically adjusting operating parameters based on actual conditions; and allowing managers to manually intervene through mobile applications or web interfaces.

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