CN118188556B - Tunnel fan remote monitoring system - Google Patents
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- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F1/00—Ventilation of mines or tunnels; Distribution of ventilating currents
- E21F1/006—Ventilation at the working face of galleries or tunnels
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- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F1/00—Ventilation of mines or tunnels; Distribution of ventilating currents
- E21F1/08—Ventilation arrangements in connection with air ducts, e.g. arrangements for mounting ventilators
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract
The invention relates to the technical field of tunnel fan control, in particular to a tunnel fan remote monitoring system. The data acquisition module is used for harmful gas concentration data and fan power of the sensors at different positions at sampling time; the fan dilution efficiency acquisition module acquires a harmful gas characteristic value from the change of the neighborhood harmful gas concentration data of the sensor at each sampling moment, and combines the continuous change of the harmful gas concentration data and the power of the tunnel fan to acquire the fan dilution efficiency of the sensor; and the tunnel fan power control module obtains a power correction index through the position between the sensors and the change condition of the dilution efficiency of the fan, and corrects and regulates the power of the fan by combining the harmful gas concentration data at the current moment. According to the method, the change conditions of the concentration of the harmful gas at different positions of the tunnel are analyzed more accurately, so that the regulation and control result of the fan power is more reliable, and the monitoring effect on the tunnel fan is better.
Description
Technical Field
The invention relates to the technical field of tunnel fan control, in particular to a tunnel fan remote monitoring system.
Background
The intelligent ventilation control system for the tunnel adopts a TCP/IP or wireless transmission technology to transmit the running state data of a fan in a tunnel operation place and various toxic and harmful gas data such as methane, carbon monoxide, carbon dioxide, hydrogen sulfide, nitrogen, sulfur dioxide, heavy hydrocarbon and the like in the environment in real time, can monitor dust and equipment running conditions, provides functions of real-time alarm control, active locking, wireless short message alarm and the like, can realize remote monitoring and centralized management, and provides reliable technical guarantee for preventing accidents such as gas explosion, toxic gas leakage poisoning, equipment abnormal faults and the like in the tunnel.
Through reading the monitored value of the tunnel monitoring system, the power of the fan can be efficiently ensured to dilute harmful gases in the tunnel, the power is increased when the environment is severe, the environment in the tunnel is restored to a good state as soon as possible, and the power is reduced when the environment is good so as to reduce the energy consumption. In the current regulation and control process of the fan power in the tunnel, the regulation and control are performed based on the relation between the concentration of harmful gas and the power at different moments, but the variation trend of the harmful gas at different positions in different time periods is different due to the different environment states in the tunnel, so that the dilution efficiency is also different, the power cannot meet the high-efficiency state only when the power is regulated and controlled according to the original harmful gas concentration data, the dilution efficiency of the harmful gas concentration is reduced or the energy consumption is increased when the regulated and controlled power is too small or too large, the analysis of the monitored concentration data is inaccurate, the regulation and control result of the fan power according to the monitoring data is unreliable, and the monitoring effect of the tunnel fan is poor.
Disclosure of Invention
In order to solve the technical problems that in the prior art, the analysis of monitored concentration data is inaccurate, so that the regulation and control result of fan power according to the monitored data is not reliable, and the monitoring effect of a tunnel fan is poor, the invention aims to provide a tunnel fan remote monitoring system, which adopts the following technical scheme:
the invention provides a remote monitoring system of a tunnel fan, which comprises:
The data acquisition module is used for acquiring harmful gas concentration data of the sensors at different positions in the tunnel at each sampling time in a preset time period and the power of a tunnel fan at each sampling time;
The fan dilution efficiency acquisition module is used for acquiring a harmful gas characteristic value of each sensor at each sampling moment according to the distribution change condition of the neighborhood harmful gas concentration data of each sensor at each sampling moment; obtaining the fan dilution efficiency of each sensor according to the continuous variation trend of the concentration of the harmful gas of each sensor in a preset time period and the distribution condition of the power and the characteristic value of the harmful gas of the tunnel fan;
The tunnel fan power control module is used for obtaining a power correction index of the tunnel fan according to the position distribution condition among different sensors in the tunnel and the variation degree of the fan dilution efficiency; and carrying out correction regulation and control on the power of the tunnel fan according to the power correction index and the harmful gas concentration data at the current moment.
Further, the expression of the characteristic value of the harmful gas is:
In the method, in the process of the invention, Denoted as the firstThe first sensor is atThe characteristic value of harmful gas at each sampling time,Denoted as the firstThe first sensor is atThe total number of sampling instants within a preset neighborhood of sampling instants,Denoted as the firstThe first sensor is atPreset neighborhood range of each sampling timeSlope of the harmful gas concentration data at each sampling instant,Denoted as the firstThe first sensor is atHarmful gas concentration data at each sampling time,Denoted as the firstThe first sensor is atMinimum value of harmful gas concentration data within a preset neighborhood range of the sampling time,Denoted as the firstThe first sensor is atMaximum value of harmful gas concentration data within a preset neighborhood range of each sampling time,Represented as an absolute value extraction function,Represented as a preset adjustment factor.
Further, the method for obtaining the dilution efficiency of the fan comprises the following steps:
sequentially taking each sensor as a reference sensor, and acquiring the slope of harmful gas concentration data of the reference sensor at each sampling time in a preset time period; obtaining a concentration dilution stage of the reference sensor according to the continuous distribution condition of all slopes in a preset time period;
Regarding any concentration dilution stage of the reference sensor, taking the extremely bad harmful gas concentration data in the concentration dilution stage as a numerical value change index of the concentration dilution stage; obtaining a fan operation index of the concentration dilution stage according to the power and duration of the tunnel fan in the concentration dilution stage;
obtaining a dilution degree index of the concentration dilution stage according to the numerical change index and the fan operation index; the numerical change index is positively correlated with the dilution degree index, and the fan operation index is negatively correlated with the dilution degree index;
Calculating the average value of the harmful gas characteristic values at all sampling moments in the concentration dilution stage to obtain the dilution trend change index of the concentration dilution stage;
taking the product of the dilution degree index of the concentration dilution stage and the dilution trend change index as the dilution index of the concentration dilution stage; and accumulating dilution indexes of all concentration dilution stages in the reference sensor, and carrying out normalization processing to obtain the fan dilution efficiency of the reference sensor.
Further, the method for obtaining the concentration dilution stage comprises the following steps:
taking a sampling moment with the slope smaller than zero as a dilution moment;
forming a concentration dilution stage by diluting moments with continuous distribution quantity larger than preset distribution quantity in a preset time period of the reference sensor; the preset distribution number is a positive number.
Further, the obtaining the fan operation index of the concentration dilution stage according to the power and duration of the corresponding tunnel fan in the concentration dilution stage includes:
Calculating the average value of the power of the tunnel fan at all sampling moments in the concentration dilution stage to obtain a dilution power index of the concentration dilution stage; counting the total number of sampling moments in the concentration dilution stage, and obtaining a time duration index of the concentration dilution stage;
and taking the product of the dilution power index and the time duration index of the concentration dilution stage as the fan operation index of the concentration dilution stage.
Further, the method for obtaining the power correction index comprises the following steps:
Taking every two adjacent sensors at the position in the tunnel as a sensor pair;
For any one sensor pair, taking the distance between the positions of the sensors in the sensor pair as the distribution distance of the sensor pair; obtaining an efficiency distribution index of the sensor pair according to the distribution distance of the sensor pair and the change of the dilution efficiency of the fan among the sensors;
And calculating the average value of the efficiency distribution indexes of all the sensor pairs, and carrying out negative correlation mapping to obtain the power correction index of the tunnel fan.
Further, the method for obtaining the efficiency distribution index comprises the following steps:
calculating the difference of the dilution efficiency of the fans between the sensor pairs to obtain the difference of the efficiency of the sensor pairs;
Performing negative correlation mapping and normalization processing on the ratio of the efficiency difference and the distribution distance of the sensor pair to obtain a distribution change index of the sensor pair; calculating the average value of the fan dilution efficiency of the sensor in the sensor pair to obtain the distribution average value of the sensor pair;
And carrying out normalization processing on the product of the distribution change index and the distribution mean value of the sensor pair to obtain the efficiency distribution index of the sensor pair.
Further, the correcting and controlling the power of the tunnel fan according to the power correction index and the harmful gas concentration data at the current moment comprises the following steps:
Taking the sum of the power correction index and a preset correction value as a correction coefficient; the range of the preset correction value is larger than zero and smaller than one;
Taking the product of the correction coefficient and a preset initial regulation coefficient of the tunnel fan as a new regulation coefficient; calculating the average value of the harmful gas concentration data of all the sensors at the current moment to obtain the concentration index at the current moment;
And carrying out power regulation and control on the tunnel fan based on the concentration index at the current moment and the new regulation and control coefficient.
Further, the preset neighborhood range is a range formed by each sampling time and a preset number of sampling times.
Further, the preset correction value is set to 0.5.
The invention has the following beneficial effects:
According to the method, factors with different dilution efficiencies on harmful gases caused by different environmental conditions in the tunnel are considered, the dilution efficiencies are firstly and independently analyzed for different sensors in the tunnel, firstly, the harmful gas characteristic value is obtained for the change of the neighborhood harmful gas concentration data of each sensor at each sampling moment, and the change trend of the harmful gas at the sampling moment is more accurately represented through the harmful gas concentration change in a local time range. Through the continuous variation trend of the concentration of the harmful gas of the sensor in the preset time period and the distribution condition of the power and the characteristic value of the harmful gas of the tunnel fan, the fan dilution efficiency of each sensor is obtained, the dilution efficiency is comprehensively represented in terms of the dilution variation degree and the dilution trend degree from the historical time range, the dilution efficiency at the position of each sensor is more accurate, and the subsequent analysis of the dilution efficiency of the whole tunnel is improved. Finally, the degree of correction required by regulation and control is obtained from the integral dilution efficiency through the position among different sensors and the dilution efficiency change condition of the fan, and further, the correction and regulation of the fan power are realized by combining the harmful gas concentration data monitored at the current moment. According to the method, the monitored concentration data is analyzed more accurately by combining the monitored change conditions of the concentration of the harmful gas at different positions of the tunnel, so that the regulation and control of the fan power are corrected, the regulation and control result is more reliable, and the monitoring effect on the tunnel fan is better.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a block diagram of a remote monitoring system for a tunnel fan according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following detailed description is given below of a remote monitoring system for a tunnel fan according to the invention, which is provided by combining the accompanying drawings and the preferred embodiment, wherein the detailed description is as follows. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following specifically describes a specific scheme of the tunnel fan remote monitoring system provided by the invention with reference to the accompanying drawings.
Referring to fig. 1, a block diagram of a remote monitoring system for a tunnel fan according to an embodiment of the present invention is shown, where the system includes: a data acquisition module 101, a fan dilution efficiency acquisition module 102 and a tunnel fan power control module 103.
The data acquisition module 101 is configured to acquire harmful gas concentration data of sensors at different positions in the tunnel at each sampling time over a preset period of time, and power of a tunnel fan at each sampling time.
For different tunnels, the efficiency of concentration dilution of harmful gas by different tunnel lengths is different, and the difference of dilution degrees at different positions in the tunnels influences the regulation and control of the whole power of the fan, so that the regulation and control condition is corrected by analyzing the monitored concentration change of the harmful gas for more accurately regulating and controlling the power of the fan. Therefore, the sensor at different positions in the tunnel needs to acquire the concentration data of the harmful gas at each sampling time in a preset time period and the power of the tunnel fan at each sampling time.
In the embodiment of the present invention, the gas concentration detection devices, that is, the sensors, are installed at different positions of the tunnel, for example, in a two kilometer tunnel, the concentration detection devices are installed at the entrance and exit of the tunnel, and the concentration detection devices are installed every four hundred meters, etc., and the specific installation method can be adjusted according to the specific implementation situation, and is not limited herein. When power regulation is performed according to concentration conditions, in order to realize dilution of harmful gas more efficiently, analysis is performed according to concentration change in history time before the current moment, and correction of power regulation is performed according to dilution efficiency, so that the concentration of harmful gas collected at each sampling moment in a preset time period is obtained for each sensor. In order to carry out more accurate correction and regulation on the monitored data, the power of the tunnel fan corresponding to each sampling moment is obtained at the same time, so that the subsequent analysis and correction on the power selection condition are facilitated.
Thus, the acquisition of the concentration data of the harmful gas to be analyzed and the power of the tunnel fan is completed, so that the subsequent correction and regulation are facilitated.
The fan dilution efficiency obtaining module 102 is configured to obtain a harmful gas characteristic value of each sensor at each sampling time according to a distribution change condition of neighborhood harmful gas concentration data of each sensor at each sampling time; and obtaining the fan dilution efficiency of each sensor according to the continuous variation trend of the concentration of the harmful gas of each sensor in a preset time period and the distribution condition of the power and the characteristic value of the harmful gas of the tunnel fan.
In order to more accurately analyze the dilution efficiency of the tunnel fan in regulation and control before the current moment, the concentration change degree of the harmful gas at each moment on different sensor positions is firstly characterized, namely, according to the distribution change condition of neighborhood harmful gas concentration data of each sensor at each sampling moment, the characteristic value of the harmful gas of each sensor at each sampling moment is obtained.
Preferably, for any one sensor, the slope of the harmful gas concentration data of the sensor at each sampling time is obtained, the slope reflects the variation degree of the concentration data, and it should be noted that, the method for obtaining the slope of the harmful gas concentration data by taking the harmful gas concentration data as time sequence data is a technical means well known to those skilled in the art, and will not be described herein.
Further, in the preset neighborhood range of each sampling time, calculating an average value of the harmful gas concentration data slope, taking an absolute value to obtain a local variation degree value of each sampling time, wherein the local variation degree value reflects the overall variation degree of the harmful gas concentration of each time in the local range.
Further, after carrying out negative correlation mapping and normalization processing on the harmful gas concentration data at each sampling time in a preset neighborhood range, obtaining a local variation trend value at each sampling time, wherein the local variation trend value reflects the descending variation trend of the harmful gas concentration at the current sampling time through the distribution of the concentration data at each sampling time relative to the neighborhood range, and when the local variation trend value is higher, the descending variation degree of the harmful gas concentration is larger.
According to the local change degree value and the local change trend value of each sampling moment, the harmful gas characteristic value of the sensor at each sampling moment is obtained, the change trend and the change degree are combined to reflect the trend degree of the descending change of the harmful gas concentration through the harmful gas characteristic value, and the local change degree value and the local change trend value are positively correlated with the harmful gas characteristic value. In the embodiment of the invention, the expression of the characteristic value of the harmful gas is as follows:
In the method, in the process of the invention, Denoted as the firstThe first sensor is atThe characteristic value of harmful gas at each sampling time,Denoted as the firstThe first sensor is atThe total number of sampling instants within a preset neighborhood of sampling instants,Denoted as the firstThe first sensor is atPreset neighborhood range of each sampling timeSlope of the harmful gas concentration data at each sampling instant,Denoted as the firstThe first sensor is atHarmful gas concentration data at each sampling time,Denoted as the firstThe first sensor is atMinimum value of harmful gas concentration data within a preset neighborhood range of the sampling time,Denoted as the firstThe first sensor is atMaximum value of harmful gas concentration data within a preset neighborhood range of each sampling time,Represented as an absolute value extraction function,Expressed as a preset adjustment coefficient, is set to 0.001 in the embodiment of the present invention, in order to avoid the case where the denominator is zero to make the formula meaningless.
Wherein,Denoted as the firstThe first sensor is atAverage value of slope of harmful gas concentration data at sampling time within preset neighborhood of each sampling time,Denoted as the firstThe first sensor is atThe local degree of change values at the individual sampling instants,Denoted as the firstThe first sensor is atAnd carrying out normalization processing and negative correlation mapping on local change trend values at sampling moments by a maximum and minimum normalization method, wherein when the local change trend value is larger, the local change degree value is larger, which indicates that the harmful gas concentration data is changed in a larger descending trend under the corresponding sampling moment of the sensor. In other embodiments of the present invention, other basic mathematical operations may be used to reflect that the local variation degree value and the local variation trend value are both positively correlated with the harmful gas characteristic value, such as addition or exponentiation, without limitation.
Thus, the harmful gas characteristic value reflecting the descending and changing condition of the harmful gas concentration data is obtained through the local concentration changing condition of each sensor at each sampling time.
Because the dilution efficiency at different positions in the tunnel is different, for example, the more the tunnel is close to the central position, the less the harmful gas is diluted, so that certain difference exists in dilution efficiency, and the dilution condition and the power at different positions need to be analyzed by combining different sensors to obtain the dilution efficiency reflected at different sensor positions. Therefore, the fan dilution efficiency of each sensor is further obtained according to the continuous variation trend of the concentration of the harmful gas of each sensor in a preset time period and the distribution condition of the power and the characteristic value of the harmful gas of the tunnel fan.
Preferably, each sensor is sequentially used as a reference sensor, the slope of the harmful gas concentration data of the reference sensor at each sampling time in a preset time period is obtained, when the corresponding slope is negative, the instantaneous change of the sampling time is in a descending state, and the concentration dilution stage of the reference sensor is obtained according to the continuous distribution condition of all slopes in the preset time period.
In one embodiment of the present invention, the sampling time with a slope smaller than zero is used as the dilution time, because the concentration of the harmful gas in the dilution stage is continuously reduced, and the dilution time with a continuous distribution number larger than the preset distribution number forms a concentration dilution stage on the preset time period of the reference sensor, so that all concentration dilution stages of the reference sensor can be obtained.
For any concentration dilution stage of the reference sensor, analyzing the dilution efficiency degree for each concentration dilution stage, and taking the extreme difference of harmful gas concentration data in the concentration dilution stage as a numerical value change index of the concentration dilution stage, wherein the numerical value change index reflects the dilution amount change degree in the dilution process through the extreme difference of the harmful gas concentration data.
Further, in order to analyze the preference degree of the power regulation of the historical fan, according to the power and duration of the tunnel fan in the concentration dilution stage, a fan operation index of the concentration dilution stage is obtained, and the operation condition of the fan power to the dilution process is reflected through the fan operation index. In one embodiment of the invention, the average value of the power of the tunnel fan at all sampling moments in the concentration dilution stage is calculated to obtain a dilution power index of the concentration dilution stage, and the dilution power index reflects the power condition of the fan used in the process. And counting the total number of sampling moments in the concentration dilution stage, and obtaining a time duration index of the concentration dilution stage, wherein the time duration index reflects the duration condition of the dilution process. Taking the product of the dilution power index and the time duration index of the concentration dilution stage as the fan operation index of the concentration dilution stage, and reflecting the running condition of the dilution process by the comprehensive power and time, wherein if the power of the fan is larger and the time is longer, the dilution efficiency at the position is lower, and the condition needing to be corrected is larger.
And obtaining a dilution degree index of the concentration dilution stage according to the numerical change index and the fan operation index, wherein the dilution degree index reflects the dilution efficiency of the dilution process on the concentration change. The numerical change index is positively correlated with the dilution degree index, the fan operation index is negatively correlated with the dilution degree index, and the larger the numerical change index is, the smaller the fan operation index is, which means that the greater the dilution degree of harmful gas is in a lower and shorter time, so the greater the dilution degree index is.
Further analyzing the dilution efficiency according to the characterization condition of the harmful gas concentration on the descending trend, calculating the average value of the harmful gas characteristic values at all sampling moments in the concentration dilution stage, and obtaining the dilution trend change index of the concentration dilution stage, wherein the dilution trend change index reflects the dilution efficiency through the descending trend of the whole harmful gas concentration, and when the larger the dilution trend change index is, the more obvious the descending trend of the harmful gas concentration is, and the higher the dilution efficiency of the stage is.
And finally, taking the product of the dilution degree index and the dilution trend change index of the concentration dilution stage as the dilution index of the concentration dilution stage, and obtaining the dilution efficiency condition of each concentration dilution stage by combining the dilution degree index and the dilution trend change index. And accumulating the dilution indexes of all concentration dilution stages in the reference sensor, carrying out normalization processing to obtain the fan dilution efficiency of the reference sensor, and combining all dilution indexes of the reference sensor in a preset time period to obtain the overall dilution efficiency condition of the reference sensor in the time period. In the embodiment of the invention, the expression of the fan dilution efficiency is as follows:
In the method, in the process of the invention, Denoted as the firstThe fan dilution efficiency of the individual sensors,Denoted as the firstThe total number of concentration dilution stages in each sensor,Denoted as the firstFirst of the sensorsThe maximum value of the harmful gas concentration data in the individual concentration dilution stages,Denoted as the firstFirst of the sensorsThe minimum value of the harmful gas concentration data in the individual concentration dilution stages,Denoted as the firstFirst of the sensorsThe dilution power index of each concentration dilution stage,Denoted as the firstFirst of the sensorsA time duration index for each concentration dilution stage,Denoted as the firstThe first sensor is atThe first concentration dilution stageThe characteristic value of harmful gas at each sampling time,It should be noted that, normalization is a technical means well known to those skilled in the art, and the normalization function may be selected by linear normalization or standard normalization, and the specific normalization method is not limited herein.
Wherein,Denoted as the firstFirst of the sensorsExtremely bad concentration data of harmful gases in the concentration dilution stage, i.e. the firstFirst of the sensorsNumerical variation index of each concentration dilution stage,Denoted as the firstFirst of the sensorsFan operation indexes of each concentration dilution stage,Denoted as the firstFirst of the sensorsIn other embodiments of the present invention, other basic mathematical operations may be used to reflect that the numerical variation index and the dilution level index are positively correlated, such as addition or exponentiation, and the fan operation index and the dilution level index are negatively correlated, such as subtraction, without limitation.
Wherein,Denoted as the firstFirst of the sensorsThe dilution trend change index of each concentration dilution stage,Denoted as the firstFirst of the sensorsThe dilution index of each concentration dilution stage indicates that the greater the overall dilution index of the sensor in the concentration dilution stage, the higher the dilution efficiency of the concentration of the harmful gas at the corresponding sensor position, and the lower the degree to which the sensor needs to be corrected.
So far, analysis of dilution efficiency at each sensor is completed by the variation of the concentration of the harmful gas over the historical period.
The tunnel fan power control module 103 is used for obtaining a power correction index of the tunnel fan according to the position distribution condition among different sensors in the tunnel and the variation degree of the fan dilution efficiency; and carrying out correction regulation and control on the power of the tunnel fan according to the power correction index and the harmful gas concentration data at the current moment.
Because the deviation of dilution efficiency exists in different positions of the tunnel, such as the position of the tunnel entrance and the air in the open area are fused and diluted quickly, and the dilution efficiency is lower when the tunnel is closer to the middle of the tunnel, the fan power can be linearly arranged to integrally improve the efficiency of dilution of harmful gas, so that the integral dilution efficiency of the tunnel is more consistent, and the dilution of the fan power to the harmful gas is better ensured. In order to accurately correct the regulation and control according to the condition of the integral dilution efficiency of the fan in the tunnel, the integral dilution efficiency is analyzed more accurately by combining the positions of different sensors to obtain a correction index, namely, the power correction index of the fan in the tunnel is obtained according to the position distribution condition among different sensors in the tunnel and the variation degree of the dilution efficiency of the fan.
Preferably, two adjacent sensors in the position in the tunnel are taken as one sensor pair, the average distribution condition of dilution efficiency is analyzed by the sensor position segmentation, the distance between the positions of the sensors in the sensor pair is taken as the distribution distance of the sensor pair for any one sensor pair, in the embodiment of the invention, the straight line distance between the sensors in the sensor pair is taken as the distribution distance, and in other embodiments of the invention, the distribution distance can be adjusted according to specific implementation conditions by taking the tunnel length between the sensors in the tunnel as the distribution distance. It should be noted that, the distance acquisition is a technical means well known to those skilled in the art, and will not be described herein.
According to the distribution distance of the sensor pairs and the change of the dilution efficiency of the fans among the sensors, the efficiency distribution index of the sensor pairs is obtained, the efficiency distribution index reflects the degree of correction of the efficiency distribution among the sensor pairs, preferably, the difference of the dilution efficiency of the fans among the sensor pairs is calculated, the efficiency difference of the sensor pairs is obtained, and the integral change condition among the distance positions is reflected through the efficiency change difference among the sensors. And carrying out negative correlation mapping and normalization processing on the ratio of the efficiency difference and the distribution distance of the sensor pair to obtain a distribution change index of the sensor pair, wherein the distribution change index reflects the average change degree of dilution efficiency between the sensor pair. And calculating the average value of the fan dilution efficiency of the sensor pair to obtain the distribution average value of the sensor pair, wherein the distribution average value reflects the overall average condition among the sensors. Normalizing the product of the distribution change index and the distribution mean value of the sensor pair to obtain an efficiency distribution index of the sensor pair, wherein the efficiency distribution index comprehensively reflects the efficiency quality through the distribution and change degree of the dilution efficiency value, and represents the degree to which the power regulation and control needs to be corrected, and in the embodiment of the invention, the expression of the efficiency distribution index is as follows:
In the method, in the process of the invention, Denoted as the firstThe first sensorThe efficiency distribution index of the sensor pair of the individual sensors,Denoted as the firstThe fan dilution efficiency of the individual sensors,Denoted as the firstThe fan dilution efficiency of the individual sensors,Denoted as the firstThe first sensorThe distribution distance of the sensor pairs of the individual sensors,Represented as an exponential function with a base of natural constant.
Wherein,Denoted as the firstThe first sensorThe difference in the efficiency of the sensor pairs of the individual sensors,Denoted as the firstThe first sensorThe distribution of sensor pairs of the individual sensors changes index,Denoted as the firstThe first sensorThe larger the distribution change index of the sensor pair is, the larger the distribution mean value is, which indicates that the overall efficiency between the sensor pair is higher and the change degree is small in the tunnel, the efficiency distribution is larger, so the efficiency distribution index is larger, and the degree of correction is smaller at the moment. In other embodiments of the present invention, according to the characteristic that the dilution efficiency also changes linearly, the linear result is fitted to the linear change of the dilution efficiency between the pairs of sensors, and the average distribution condition of the dilution efficiency of the fan between the pairs of sensors is calculated by adopting the fixed integral to obtain the efficiency distribution index, which is not described herein.
Calculating the average value of the efficiency distribution indexes of all the sensor pairs, and carrying out negative correlation mapping to obtain the power correction index of the tunnel fan, and integrating the overall efficiency distribution advantages and disadvantages of all the sensor pairs, wherein when the efficiency distribution is better, the degree of correction is smaller, namely, when the average value of the efficiency distribution index is larger, the power correction index is smaller.
In the embodiment of the invention, the power of the fan in the tunnel is regulated and controlled according to the concentration of harmful gas in the tunnel, namely, the coefficient of the regulation and control relation exists in the original power regulation and control relation, and the original coefficient is corrected according to the result of further analysis efficiency, so that the power of the fan in the tunnel is corrected and controlled according to the power correction index and the concentration data of the harmful gas at the current moment. Preferably, the sum of the power correction index and the preset correction value is used as the correction coefficient, in the embodiment of the invention, the range of the preset correction value is larger than zero and smaller than one, and the preset correction value is set to be 0.5, so that the correction range is adjusted, when the power correction index is lower, the integral dilution condition in the tunnel is better, the power requirement can be properly reduced, and when the power correction index is higher, the integral dilution condition in the tunnel is worse, and the power requirement can be properly improved. The product of the correction coefficient and the preset initial regulation coefficient of the tunnel fan is used as a new regulation coefficient, and the sensitivity of the initial regulation coefficient is adjusted.
And calculating the average value of the harmful gas concentration data of all the sensors at the current moment to obtain a concentration index at the current moment, wherein the concentration index acts on the power condition of the fan at the moment, so that the power regulation and control of the tunnel fan are performed based on the concentration index at the current moment and the new regulation and control coefficient. In the embodiment of the invention, the concentration index and the new regulation coefficient can be input into the concentration power regulation system by the subsequent regulation, and the power of the tunnel fan is output, which is not described in detail herein.
In summary, the invention considers factors with different dilution efficiencies on harmful gases caused by different environmental conditions in the tunnel, and firstly analyzes the dilution efficiencies of different sensors in the tunnel independently, and firstly obtains a harmful gas characteristic value by changing the neighborhood harmful gas concentration data of each sensor at each sampling moment, and more accurately characterizes the change trend of the harmful gas at the sampling moment through the change of the harmful gas concentration in a local time range. Through the continuous variation trend of the concentration of the harmful gas of the sensor in the preset time period and the distribution condition of the power and the characteristic value of the harmful gas of the tunnel fan, the fan dilution efficiency of each sensor is obtained, the dilution efficiency is comprehensively represented in terms of the dilution variation degree and the dilution trend degree from the historical time range, the dilution efficiency at the position of each sensor is more accurate, and the subsequent analysis of the dilution efficiency of the whole tunnel is improved. Finally, the degree of correction required by regulation and control is obtained from the integral dilution efficiency through the position among different sensors and the dilution efficiency change condition of the fan, and further, the correction and regulation of the fan power are realized by combining the harmful gas concentration data monitored at the current moment. According to the method, the monitored concentration data is analyzed more accurately by combining the monitored change conditions of the concentration of the harmful gas at different positions of the tunnel, the regulation and control of the fan power are corrected, the regulation and control result is more reliable, and the monitoring effect on the tunnel fan is better.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
Claims (6)
1. A tunnel fan remote monitoring system, the system comprising:
The data acquisition module is used for acquiring harmful gas concentration data of the sensors at different positions in the tunnel at each sampling time in a preset time period and the power of a tunnel fan at each sampling time;
The fan dilution efficiency acquisition module is used for acquiring a harmful gas characteristic value of each sensor at each sampling moment according to the distribution change condition of the neighborhood harmful gas concentration data of each sensor at each sampling moment; obtaining the fan dilution efficiency of each sensor according to the continuous variation trend of the concentration of the harmful gas of each sensor in a preset time period and the distribution condition of the power and the characteristic value of the harmful gas of the tunnel fan;
The tunnel fan power control module is used for obtaining a power correction index of the tunnel fan according to the position distribution condition among different sensors in the tunnel and the variation degree of the fan dilution efficiency; carrying out correction regulation and control on the power of the tunnel fan according to the power correction index and the harmful gas concentration data at the current moment;
the expression of the characteristic value of the harmful gas is as follows:
In the method, in the process of the invention, Denoted as the firstThe first sensor is atThe characteristic value of harmful gas at each sampling time,Denoted as the firstThe first sensor is atThe total number of sampling instants within a preset neighborhood of sampling instants,Denoted as the firstThe first sensor is atPreset neighborhood range of each sampling timeSlope of the harmful gas concentration data at each sampling instant,Denoted as the firstThe first sensor is atHarmful gas concentration data at each sampling time,Denoted as the firstThe first sensor is atMinimum value of harmful gas concentration data within a preset neighborhood range of the sampling time,Denoted as the firstThe first sensor is atMaximum value of harmful gas concentration data within a preset neighborhood range of each sampling time,Represented as an absolute value extraction function,Expressed as a preset adjustment factor;
the method for acquiring the dilution efficiency of the fan comprises the following steps:
sequentially taking each sensor as a reference sensor, and acquiring the slope of harmful gas concentration data of the reference sensor at each sampling time in a preset time period; obtaining a concentration dilution stage of the reference sensor according to the continuous distribution condition of all slopes in a preset time period;
Regarding any concentration dilution stage of the reference sensor, taking the extremely bad harmful gas concentration data in the concentration dilution stage as a numerical value change index of the concentration dilution stage; obtaining a fan operation index of the concentration dilution stage according to the power and duration of the tunnel fan in the concentration dilution stage;
obtaining a dilution degree index of the concentration dilution stage according to the numerical change index and the fan operation index; the numerical change index is positively correlated with the dilution degree index, and the fan operation index is negatively correlated with the dilution degree index;
Calculating the average value of the harmful gas characteristic values at all sampling moments in the concentration dilution stage to obtain the dilution trend change index of the concentration dilution stage;
Taking the product of the dilution degree index of the concentration dilution stage and the dilution trend change index as the dilution index of the concentration dilution stage; accumulating dilution indexes of all concentration dilution stages in the reference sensor, and carrying out normalization processing to obtain the fan dilution efficiency of the reference sensor;
the method for acquiring the power correction index comprises the following steps:
Taking every two adjacent sensors at the position in the tunnel as a sensor pair;
For any one sensor pair, taking the distance between the positions of the sensors in the sensor pair as the distribution distance of the sensor pair; obtaining an efficiency distribution index of the sensor pair according to the distribution distance of the sensor pair and the change of the dilution efficiency of the fan among the sensors;
Calculating the average value of the efficiency distribution indexes of all the sensor pairs and carrying out negative correlation mapping to obtain the power correction index of the tunnel fan;
The method for correcting and controlling the power of the tunnel fan by combining the harmful gas concentration data at the current moment according to the power correction index comprises the following steps:
Taking the sum of the power correction index and a preset correction value as a correction coefficient; the range of the preset correction value is larger than zero and smaller than one;
Taking the product of the correction coefficient and a preset initial regulation coefficient of the tunnel fan as a new regulation coefficient; calculating the average value of the harmful gas concentration data of all the sensors at the current moment to obtain the concentration index at the current moment;
And carrying out power regulation and control on the tunnel fan based on the concentration index at the current moment and the new regulation and control coefficient.
2. The tunnel fan remote monitoring system according to claim 1, wherein the concentration dilution stage obtaining method comprises:
taking a sampling moment with the slope smaller than zero as a dilution moment;
forming a concentration dilution stage by diluting moments with continuous distribution quantity larger than preset distribution quantity in a preset time period of the reference sensor; the preset distribution number is a positive number.
3. The remote monitoring system of a tunnel fan according to claim 1, wherein the obtaining the fan operation index of the concentration dilution stage according to the power and duration of the corresponding tunnel fan in the concentration dilution stage comprises:
Calculating the average value of the power of the tunnel fan at all sampling moments in the concentration dilution stage to obtain a dilution power index of the concentration dilution stage; counting the total number of sampling moments in the concentration dilution stage, and obtaining a time duration index of the concentration dilution stage;
and taking the product of the dilution power index and the time duration index of the concentration dilution stage as the fan operation index of the concentration dilution stage.
4. The tunnel fan remote monitoring system according to claim 1, wherein the method for obtaining the efficiency distribution index comprises:
calculating the difference of the dilution efficiency of the fans between the sensor pairs to obtain the difference of the efficiency of the sensor pairs;
Performing negative correlation mapping and normalization processing on the ratio of the efficiency difference and the distribution distance of the sensor pair to obtain a distribution change index of the sensor pair; calculating the average value of the fan dilution efficiency of the sensor in the sensor pair to obtain the distribution average value of the sensor pair;
And carrying out normalization processing on the product of the distribution change index and the distribution mean value of the sensor pair to obtain the efficiency distribution index of the sensor pair.
5. The tunnel fan remote monitoring system according to claim 1, wherein the preset neighborhood range is a range formed by each sampling time and a preset number of sampling times.
6. The tunnel fan remote monitoring system of claim 1, wherein the preset correction value is set to 0.5.
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| CN112228136B (en) * | 2020-09-24 | 2022-11-04 | 辽宁工程技术大学 | System for rapidly discharging toxic and harmful gas in sealed roadway and using method |
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| CN101936301A (en) * | 2010-08-31 | 2011-01-05 | 山西省侯马市鑫丰康风机有限公司 | Automatic operation control device of tunnel ventilator |
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