A mine goaf fire early warning control system

Abstract

The application discloses a kind of mine goaf fire early warning control systems, it is related to mine early warning technical field, it solves the technical problem that the overall determination of monitoring value is not accurate due to the fluctuation of monitoring value caused by some reason, fluctuation parameter will also cause the occurrence of alarm, according to the monitored monitoring parameter, the abnormal area is analyzed and processed in time period, and the abnormal proportion parameter value of this time period is obtained, the abnormal proportion parameter value is compared with the preset parameter, according to the comparison result, corresponding early warning signal is generated, and the early warning terminal is controlled by early warning signal;Abnormal area is monitored in time period, using the way of proportion processing, avoid generating corresponding early warning signal due to some numerical fluctuation, cause maintenance personnel to arrive at specified location, but corresponding early warning situation does not occur, to cause personnel dissatisfaction, experience effect is not good, using time period proportion processing mode, the determined condition is more accurate, improve accuracy.

Description

Technical Field

[0001] This invention belongs to the field of mine early warning technology, specifically a mine goaf fire early warning and control system. Background Technology

[0002] A coal mine goaf is a cavity or void left after underground coal or gangue has been extracted during coal mining operations.

[0003] Patent application CN101079178A discloses a fire evacuation early warning and control system. This system includes: a monitoring center comprised of a central control computer system, fire smoke detectors, a sprinkler system, signal transmitting and receiving devices, a real-time crowd density monitoring system, and photoelectric indicator signs. This invention utilizes a central control computer system that can record environmental parameters at multiple points and calculate the on-site evacuation risk in real time. Before a fire occurs, the system can provide indicators such as the probability of fire occurrence and the probability of crowd evacuation based on the indoor environment and current information. When relevant indicators exceed predetermined thresholds, an early warning signal is generated, guiding relevant personnel to take measures to reduce the risk. The system controls the early warning level indicator signs through a hardware controller, indicating various indicators and realizing both manual alarm and automatic early warning functions.

[0004] When conducting fire early warning in the goaf of a mine, it is necessary to collect multiple sets of parameter values ​​for this area and compare the collected values ​​with preset parameters. If the values ​​exceed the preset range, a corresponding alarm is generated to alert the operators to perform maintenance on the designated area. This method can lead to fluctuations in the monitored values ​​due to various reasons. These fluctuations can also trigger alarms, resulting in misjudgments and inaccurate overall assessment of the monitored values, thus failing to achieve a good monitoring effect. Summary of the Invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a mine goaf fire early warning control system to solve the technical problem that the monitoring values ​​fluctuate due to some reason, and the fluctuating parameters also cause alarms, resulting in inaccurate overall judgment of the monitoring values.

[0006] To achieve the above objectives, an early warning and control system for fires in goaf areas of mines is proposed according to an embodiment of the first aspect of the present invention, comprising a data acquisition terminal, a processing terminal, an early warning terminal, and a display terminal;

[0007] The processing terminal includes a region division unit, a region data processing unit, a time period monitoring unit, a marking unit, and a fluctuation data processing unit;

[0008] The data acquisition terminal is used to collect regional data of a designated mine goaf area and transmit the collected regional data to the processing terminal.

[0009] The processing terminal receives the collected regional data, divides and marks the regional data through the regional division unit, and marks different regional data as QYi, where i represents different division regions;

[0010] The regional data processing unit analyzes and processes the regional data QYi belonging to different regions based on the received regional data QYi, generates anomaly signals based on the analysis and processing results, marks regions with abnormal values, and transmits them to an external display terminal.

[0011] The marking unit marks a specified area as an abnormal area based on the abnormal signal and the marking i, and bundles the area data of the abnormal area to generate an abnormal area data packet, and transmits the abnormal area data packet to the display terminal.

[0012] The time period monitoring unit monitors the abnormal area in real time and transmits the monitored parameters to the fluctuation data processing unit.

[0013] The fluctuation data processing unit performs time-period analysis on the abnormal area based on the monitored parameters, obtains the abnormal percentage parameter value for this period, compares the abnormal percentage parameter value with the preset parameter Y3, generates a corresponding early warning signal based on the comparison result, and controls the early warning terminal through the early warning signal.

[0014] Preferably, the regional data includes temperature parameters, gas concentration parameters, carbon monoxide concentration parameters, and oxygen concentration parameters.

[0015] Preferably, the specific method by which the regional data processing unit analyzes and processes regional data from different regions is as follows:

[0016] S1. Extract the corresponding temperature parameters, gas concentration parameters, carbon monoxide concentration parameters and oxygen concentration parameters from the regional data QYi, and label the temperature parameters as WDi, the gas concentration parameters as WSi, the carbon monoxide concentration parameters as YYi, and the oxygen concentration parameters as YQi.

[0017] The temperature data WDi is compared with the preset value X1. When WDi≥X1, a temperature exceedance signal is generated and transmitted to the display terminal.

[0018] The gas concentration parameter WSi is compared with the preset value X2. When WDi≥X2, a gas concentration exceeding the standard signal is generated and transmitted to the display terminal.

[0019] The carbon monoxide concentration parameter YYi is compared with the preset value X3. When WDi≥X3, a carbon monoxide concentration exceeding the standard signal is generated and transmitted to the display terminal.

[0020] The oxygen concentration parameter YQi is compared with the preset value X4. When YQi < X4, a low oxygen concentration micro signal is generated and transmitted to the display terminal. X1, X2, X3 and X4 are all preset parameters.

[0021] S2, Adopt The decision parameter PDi is obtained, and the maximum and minimum values ​​are extracted from multiple sets of decision parameters PDi. The maximum value is marked as PDmax and the minimum value is marked as PDmin.

[0022] S3, Adopt The verification parameter value HDi is obtained, where To obtain the average of multiple judgment parameters PDi, the verification parameter HDi is compared with the preset values ​​Y1 and Y2, where Y1 < Y2. The specific values ​​of Y1 and Y2 are determined by the operator based on experience. When Y1 ≤ HDi ≤ Y2, no signal is generated; otherwise, an abnormal signal is generated and transmitted to the marking unit.

[0023] Preferably, the specific method by which the fluctuation data processing unit performs time-period analysis processing on the abnormal area is as follows:

[0024] The verification parameter value HDi of the abnormal area is obtained by using steps S2 and S3;

[0025] Determine the fluctuation period T, where T is 1 hour. Obtain the number of times QEi, where the verification parameter HDi does not belong to the range between Y1 and Y2, and the duration QTi, where the time unit of QTi is minutes. The abnormality percentage parameter ZBCi is obtained, where A1 and A2 are both preset fixed coefficient factors;

[0026] The abnormal percentage parameter ZBCi is compared with the preset parameter Y3. When ZBCi < Y3, no signal is generated; otherwise, an early warning signal is generated and transmitted to the early warning terminal.

[0027] Preferably, the early warning terminal performs early warning processing based on the early warning signal and simultaneously transmits the early warning signal and the marker i to the display terminal, which then displays the early warning signal and the corresponding area data.

[0028] Compared with the prior art, the beneficial effects of the present invention are as follows: regional data of a designated mine goaf area are collected, the collected regional data are transmitted to a processing terminal, and then different regional data are divided and marked by a regional division unit. The collected regional data are preprocessed, and the exceedance signal is transmitted to an external display terminal. Then, the parameters of different regions are analyzed, and regions with large numerical deviations are set as abnormal regions. The abnormal regions are monitored in real time, and the monitored parameters are transmitted to a fluctuation data processing unit. Based on the monitored parameters, the abnormal regions are analyzed and processed over a period of time, and the abnormal proportion parameter value of this period is obtained. The abnormal proportion parameter value is compared with a preset parameter Y3. Based on the comparison result, a corresponding early warning signal is generated, and the early warning terminal is controlled through the early warning signal.

[0029] This method monitors abnormal areas over time periods and uses a percentage-based approach to avoid generating corresponding warning signals due to fluctuations in a certain number of values. This prevents maintenance personnel from arriving at the designated location only to find that the corresponding warning has not occurred, leading to dissatisfaction and a poor user experience. The time-period percentage-based approach makes the judgment more accurate and improves precision. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the principle framework of the present invention. Detailed Implementation

[0031] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] Please see Figure 1 This application provides a mine goaf fire early warning and control system, including a data acquisition terminal, a processing terminal, an early warning terminal and a display terminal;

[0033] The processing terminal includes a region division unit, a region data processing unit, a time period monitoring unit, a marking unit, and a fluctuation data processing unit;

[0034] The region division unit is electrically connected to the input terminals of the region data processing unit and the time period monitoring unit, respectively. The region data processing unit is bidirectionally connected to the marking unit. The output terminal of the time period monitoring unit is electrically connected to the input terminal of the fluctuation data processing unit.

[0035] The data acquisition terminal is used to collect regional data of a designated mine goaf area. The collected regional data includes temperature parameters, gas concentration parameters, carbon monoxide concentration parameters, and oxygen concentration parameters. The collected regional data is then transmitted to the processing terminal.

[0036] The processing terminal receives the collected regional data, divides and marks the regional data through the regional division unit, and marks different regional data as QYi, where i represents different division regions (specifically, each region is equipped with a corresponding sensor to collect data, and the data collected by the corresponding regional sensor is transmitted to the regional division unit, which divides the collected regional data sequentially according to the sensor number).

[0037] The regional data processing unit analyzes and processes the received regional data QYi belonging to different regions. Based on the analysis results, it marks regions with abnormal values ​​and transmits the data to an external display terminal. The specific method for analyzing and processing the regional data of different regions is as follows:

[0038] S1. Extract the corresponding temperature parameters, gas concentration parameters, carbon monoxide concentration parameters and oxygen concentration parameters from the regional data QYi, and label the temperature parameters as WDi, the gas concentration parameters as WSi, the carbon monoxide concentration parameters as YYi, and the oxygen concentration parameters as YQi.

[0039] The temperature data WDi is compared with the preset value X1. When WDi≥X1, a temperature exceedance signal is generated and transmitted to the display terminal.

[0040] The gas concentration parameter WSi is compared with the preset value X2. When WDi≥X2, a gas concentration exceeding the standard signal is generated and transmitted to the display terminal.

[0041] The carbon monoxide concentration parameter YYi is compared with the preset value X3. When WDi≥X3, a carbon monoxide concentration exceeding the standard signal is generated and transmitted to the display terminal.

[0042] The oxygen concentration parameter YQi is compared with the preset value X4. When YQi < X4, a low oxygen concentration micro signal is generated and transmitted to the display terminal. X1, X2, X3 and X4 are all preset parameters.

[0043] S2, Adopt The decision parameter PDi is obtained, and the maximum and minimum values ​​are extracted from multiple sets of decision parameters PDi. The maximum value is marked as PDmax and the minimum value is marked as PDmin.

[0044] S3, Adopt The verification parameter value HDi is obtained, where To obtain the average of multiple judgment parameters PDi, the verification parameter HDi is compared with the preset values ​​Y1 and Y2, where Y1 < Y2. The specific values ​​of Y1 and Y2 are determined by the operator based on experience. When Y1 ≤ HDi ≤ Y2, no signal is generated; otherwise, an abnormal signal is generated and transmitted to the marking unit.

[0045] The marking unit marks a specified area as an abnormal area based on the abnormal signal and the marking i, bundles the area data of the abnormal area to generate an abnormal area data packet, and transmits the abnormal area data packet to the display terminal. External personnel analyze and process the area data of the abnormal area based on the parameters displayed on the display terminal and take corresponding protective measures.

[0046] The time period monitoring unit monitors the abnormal area in real time and transmits the monitored parameters to the fluctuation data processing unit.

[0047] The fluctuation data processing unit performs time-period analysis on the abnormal area based on the monitored parameters, obtains the abnormal proportion parameter value for this period, compares the abnormal proportion parameter value with the preset parameter Y3, generates a corresponding early warning signal based on the comparison result, and controls the early warning terminal through the early warning signal. The specific method for performing time-period analysis on the abnormal area is as follows:

[0048] The verification parameter value HDi of the abnormal area is obtained by using steps S2 and S3;

[0049] Determine the fluctuation period T, where T is 1 hour. Obtain the number of times QEi, where the verification parameter HDi does not belong to the range between Y1 and Y2, and the duration QTi (the obtained verification parameter HDi is multiple sets of different verification parameter values ​​within the hour prior to this moment). The time unit of QTi is minutes. The abnormality percentage parameter ZBCi is obtained, where A1 and A2 are both preset fixed coefficient factors;

[0050] The abnormal percentage parameter ZBCi is compared with the preset parameter Y3. When ZBCi < Y3, no signal is generated; otherwise, an early warning signal is generated and transmitted to the early warning terminal.

[0051] The early warning terminal performs early warning processing based on the early warning signal and simultaneously transmits the early warning signal and the marker i to the display terminal, which then displays the early warning signal and the corresponding area data.

[0052] This method monitors abnormal areas over time periods and uses a percentage-based approach to avoid generating corresponding warning signals due to fluctuations in a certain number of values. This prevents maintenance personnel from arriving at the designated location only to find that the corresponding warning has not occurred, leading to dissatisfaction and a poor user experience. The time-period percentage-based approach makes the judgment more accurate and improves precision.

[0053] The data in the above formula are all calculated by removing the dimensions and taking the numerical values. The formula is the closest to the real situation obtained by software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0054] The working principle of this invention is as follows: Regional data of a designated mine goaf area is collected in advance, and the collected regional data is transmitted to a processing terminal. Then, the regional data is divided and marked by a regional division unit. The collected regional data is preprocessed, and the exceedance signal is transmitted to an external display terminal. The parameters of different regions are analyzed, and regions with large numerical deviations are set as abnormal regions. The abnormal regions are monitored in real time, and the monitored parameters are transmitted to a fluctuation data processing unit. Based on the monitored parameters, the abnormal regions are analyzed and processed over a period of time, and the abnormal proportion parameter value for this period is obtained. The abnormal proportion parameter value is compared with a preset parameter Y3. Based on the comparison result, a corresponding early warning signal is generated, and the early warning terminal is controlled through the early warning signal.

[0055] This method monitors abnormal areas over time periods and uses a percentage-based approach to avoid generating corresponding warning signals due to fluctuations in a certain number of values. This prevents maintenance personnel from arriving at the designated location only to find that the corresponding warning has not occurred, leading to dissatisfaction and a poor user experience. The time-period percentage-based approach makes the judgment more accurate and improves precision.

[0056] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A mine goaf fire early warning control system, characterized in that, The system comprises a data acquisition terminal, a processing terminal, an early warning terminal and a display terminal. The processing terminal comprises a region division unit, a region data processing unit, a time period monitoring unit, a marking unit and a fluctuation data processing unit. The data acquisition terminal is configured to acquire region data of a specified goaf of a mine and transmit the acquired region data to the processing terminal. The processing terminal is configured to receive the acquired region data, divide and mark the region data by using the region division unit, and mark different region data as QYi, where i represents different division regions. The region data processing unit is configured to analyze and process region data QYi belonging to different regions according to the received region data QYi, generate an abnormal signal based on the analysis and processing result, mark a region with a numerical anomaly, and transmit the region to an external display terminal, in a specific manner as follows: S1. Extract corresponding temperature parameters, gas concentration parameters, carbon monoxide concentration parameters and oxygen concentration parameters from the region data QYi, mark the temperature parameters as WDi, mark the gas concentration parameters as WSi, mark the carbon monoxide concentration parameters as YYi, and mark the oxygen concentration parameters as YQi. Compare the temperature data WDi with a preset value X1, generate a temperature over-standard signal when WDi is greater than or equal to X1, and transmit the temperature over-standard signal to the display terminal. Compare the gas concentration parameter WSi with a preset value X2, generate a gas concentration over-standard signal when WDi is greater than or equal to X2, and transmit the gas concentration over-standard signal to the display terminal. Compare the carbon monoxide concentration parameter YYi with a preset value X3, generate a carbon monoxide concentration over-standard signal when WDi is greater than or equal to X3, and transmit the carbon monoxide concentration over-standard signal to the display terminal. Compare the oxygen concentration parameter YQi with a preset value X4, generate an oxygen concentration low signal when YQi is less than X4, and transmit the oxygen concentration low signal to the display terminal, where X1, X2, X3 and X4 are all preset parameters. S2, adopt The determination parameters PDi are obtained, and the maximum and minimum values are extracted from the plurality of determination parameters PDi, the maximum value is marked as PDmax, and the minimum value is marked as PDmin. S3、adopting a check value HDi is obtained, wherein The check value HDi is compared with preset values Y1 and Y2, wherein Y1Y2, and the specific values of Y1 and Y2 are determined by the operator according to experience. When Y1≤HDi≤Y2, no signal is generated. Otherwise, an abnormal signal is generated and transmitted to the marking unit. The marking unit is configured to mark a specified region as an abnormal region according to the abnormal signal and the mark i, bundle region data of the abnormal region, generate an abnormal region data package, and transmit the abnormal region data package to the display terminal. The time period monitoring unit is configured to monitor the abnormal region in real time and transmit monitored monitoring parameters to the fluctuation data processing unit. The fluctuation data processing unit is configured to analyze and process the abnormal region in a time period according to the monitored monitoring parameters, obtain an abnormal proportion parameter value of the time period, compare the abnormal proportion parameter value with a preset parameter Y3, generate a corresponding early warning signal according to a comparison result, and control the early warning terminal by using the early warning signal.

2. The goaf fire early warning control system of claim 1, wherein, The region data comprises temperature parameters, gas concentration parameters, carbon monoxide concentration parameters and oxygen concentration parameters.

3. The mine goaf fire early warning control system according to claim 1, characterized in that, The fluctuation data processing unit analyzes and processes the abnormal region in a time period in a specific manner as follows: Obtain a check parameter value HDi of the abnormal region by using steps S2 and S3. determining a fluctuation period T, T is 1h, obtaining the number of times QEi and the length of time QTi that the comparison parameter value HDi does not belong to between Y1 and Y2, wherein the time unit of QTi is minute, using obtaining the abnormal proportion parameter value ZBCi, wherein A1 and A2 are both preset fixed coefficient factors; Compare the abnormal proportion parameter value ZBCi with the preset parameter Y3, do not generate any signal when ZBCi is less than Y3, otherwise, generate an early warning signal and transmit the early warning signal to the early warning terminal.

4. The mine goaf fire early warning control system according to claim 3, characterized in that, The early warning terminal carries out early warning processing according to the early warning signal, and simultaneously transmits the early warning signal and the mark i into the display terminal, and the display terminal displays the early warning signal and the region data corresponding to the partition. The early warning terminal carries out early warning processing according to the early warning signal, and simultaneously transmits the early warning signal and the mark i into the display terminal, and the display terminal displays the early warning signal and the region data corresponding to the partition.

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