CN115862296B - Fire risk early warning method, system, equipment and medium for railway construction site - Google Patents
Fire risk early warning method, system, equipment and medium for railway construction site Download PDFInfo
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Abstract
The invention relates to the field of public safety, and provides a fire risk early warning method, a fire risk early warning system, fire risk early warning equipment and fire risk early warning media for a railway construction site, wherein the fire risk early warning method, the fire risk early warning system, fire risk early warning equipment and fire risk early warning media for the railway construction site comprise the steps of acquiring first information, second information and picture information, wherein the first information comprises smoke concentration information and carbon monoxide concentration information acquired by measuring points in the railway construction site, the picture information comprises picture information of a monitoring target in the railway construction site, and the second information comprises carbon monoxide concentration information, smoke concentration information and temperature information acquired by each group of measuring points when the monitoring target fires; obtaining third information according to the picture information; carrying out standardization processing on the first information, the second information and the third information, obtaining a first characteristic value according to the standardized first information and the third information, and obtaining a second characteristic value according to the standardized second information; according to the method, the fire probability of the monitoring target in the railway construction site is calculated according to the first characteristic value and the second characteristic value, and the accuracy of fire early warning is effectively improved by fusing various fire characteristics.
Description
Technical Field
The invention relates to the field of public safety, in particular to a fire risk early warning method, a fire risk early warning system, fire risk early warning equipment and fire risk early warning media for a railway construction site.
Background
Along with the rapid development of economic construction and urban construction in China, the railway construction industry is also rapidly developed, a large number of constructors and flammable substance stacking areas exist in a railway construction site serving as a main site of railway construction, particularly, areas such as site steel bar welding, electric welding cutting, distribution boxes, temporary electricity consumption, tunnel blasting, station timber stacking, wood template cutting and the like are prone to causing fire, so that the railway construction site has extremely large fire risk hidden danger, and once the fire in the railway construction site is on, the fire is spread rapidly, a large amount of economic loss and casualties are caused, the fire is detected through a smoke sensor generally in the prior art, but other smoke can be generated due to personal behaviors of constructors, and the false alarm of fire detection is prone to be caused, so that a high-precision fire risk early warning method is needed for guaranteeing the accuracy of fire risk early warning of the railway construction site.
Disclosure of Invention
The invention aims to provide a fire risk early warning method, a fire risk early warning system, fire risk early warning equipment and fire risk early warning media for a railway construction site, so as to solve the problems.
In order to achieve the above purpose, the embodiment of the present application provides the following technical solutions:
in one aspect, an embodiment of the present application provides a fire risk early warning method for a railway construction site, the method including:
acquiring first information, second information and picture information, wherein the first information comprises smoke concentration information acquired by measuring points in a railway construction site and carbon monoxide concentration information acquired by measuring points in the railway construction site, the picture information comprises picture information of a monitoring target in the railway construction site, and the second information comprises carbon monoxide concentration information, smoke concentration information and temperature information acquired by each group of measuring points when the monitoring target is in fire;
processing the picture information to obtain third information, wherein the third information comprises temperature information corresponding to a monitoring target in a railway construction site;
carrying out standardization processing on the first information, the second information and the third information to obtain standardized first information, standardized second information and standardized third information;
Fusing the first information after the standardization processing with the third information after the standardization processing to obtain a first characteristic value; fusing the second information after the standardized processing to obtain a second characteristic value, wherein the first characteristic value is a value obtained by fusing carbon monoxide concentration information, smoke concentration information and temperature information acquired by a group of measuring points at the same time, and the second characteristic value is a value obtained by fusing the carbon monoxide concentration information, the smoke concentration information and the temperature information acquired when a fire disaster occurs;
and calculating according to the first characteristic value and the second characteristic value to obtain the firing probability of the monitoring target in the railway construction site, and judging whether to send out early warning information according to the firing probability.
In a second aspect, embodiments of the present application provide a fire risk early warning system for a railway construction site, the system comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring first information, second information and picture information, the first information comprises smoke concentration information acquired by measuring points in a railway construction site and carbon monoxide concentration information acquired by measuring points in the railway construction site, the picture information comprises picture information of a monitoring target in the railway construction site, and the second information comprises carbon monoxide concentration information, smoke concentration information and temperature information acquired by each group of measuring points when the monitoring target is in fire;
The first processing module is used for processing the picture information to obtain third information, wherein the third information comprises temperature information corresponding to a monitoring target in a railway construction site;
the second processing module is used for carrying out standardization processing on the first information, the second information and the third information to obtain standardized first information, standardized second information and standardized third information;
the third processing module is used for fusing the first information after the standardization processing with the third information after the standardization processing to obtain a first characteristic value; fusing the second information after the standardized processing to obtain a second characteristic value, wherein the first characteristic value is a value obtained by fusing carbon monoxide concentration information, smoke concentration information and temperature information acquired by a group of measuring points at the same time, and the second characteristic value is a value obtained by fusing the carbon monoxide concentration information, the smoke concentration information and the temperature information acquired when a fire disaster occurs;
and the fourth processing module is used for calculating according to the first characteristic value and the second characteristic value to obtain the firing probability of the monitoring target in the railway construction site, and judging whether to send out early warning information according to the firing probability.
In a third aspect, embodiments of the present application provide fire risk early warning apparatus for a railway construction site, the apparatus comprising a memory and a processor. The memory is used for storing a computer program; and the processor is used for realizing the fire risk early warning method of the railway construction site when executing the computer program.
In a fourth aspect, embodiments of the present application provide a readable storage medium having a computer program stored thereon, the computer program when executed by a processor implementing the steps of the fire risk early warning method of a railway construction site described above.
The beneficial effects of the invention are as follows:
according to the invention, after the smoke concentration and the carbon monoxide concentration of the monitoring area in the railway construction site are acquired through different types of sensors and the temperature information of the monitoring target in the monitoring area is acquired through the monitoring area picture, fusion of the acquired smoke concentration, carbon monoxide concentration and temperature information is realized through grey correlation analysis to obtain a first characteristic value, and then the probability of fire occurrence is calculated according to the corresponding second characteristic value and the first characteristic value when the fire occurs, so that the fire early warning false alarm is prevented from being easily caused by acquiring single data, the fire risk early warning accuracy is effectively improved by fusing multiple fire characteristics, and in addition, the method can realize accurate temperature measurement of the inflammable monitoring target by dividing the inflammable monitoring target in the railway construction site, ensure the accuracy of the inflammable monitoring target temperature measurement, and further achieve the purpose of improving the fire risk early warning accuracy.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a fire risk early warning method for a railway construction site according to an embodiment of the invention.
Fig. 2 is a schematic structural diagram of a fire risk early warning system for a railway construction site according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of fire risk early warning equipment for a railway construction site according to an embodiment of the present invention.
The drawing is marked: 901. an acquisition module; 902. a first processing module; 903. a computing module; 904. constructing a module; 905. a judging module; 906. a second processing module; 907. a third processing module; 908. a fourth processing module; 9021. a first processing unit; 9022. a second processing unit; 9023. a third processing unit; 9024. a fourth processing unit; 9061. an acquisition unit; 9062. a first calculation unit; 9063. a fifth processing unit; 9064. a sixth processing unit; 9071. a seventh processing unit; 9072. an eighth processing unit; 9073. a second calculation unit; 9081. a ninth processing unit; 9082. a tenth processing unit; 9083. a judging unit; 800. fire risk early warning equipment for a railway construction site; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the embodiment provides a fire risk early warning method for a railway construction site, and it can be understood that a scene can be paved in the embodiment, for example, a plurality of groups of different sensors are arranged to collect carbon monoxide concentration and smoke concentration of a flammable region (a stacking region of flammable building materials) or electrical equipment in the railway construction site, and an infrared thermal imager is used to shoot the flammable region or the electrical equipment.
Referring to fig. 1, the method is shown to include steps S1, S2, S6, S7 and S8.
Step S1, acquiring first information, second information and picture information, wherein the first information comprises smoke concentration information acquired by measuring points in a railway construction site and carbon monoxide concentration information acquired by measuring points in the railway construction site, the picture information comprises picture information of a monitoring target in the railway construction site, and the second information comprises carbon monoxide concentration information, smoke concentration information and temperature information acquired by each group of measuring points when the monitoring target is in fire;
it is to be understood that the first information is smoke concentration information in the railway construction site and carbon monoxide concentration information in the railway construction site, which are acquired through a smoke detector and a carbon monoxide detector, the picture information is acquired through a thermal infrared imager, and it is to be noted that the monitoring target is a flammable area or electrical equipment in the railway construction site, wherein the flammable area comprises, but is not limited to, a field steel bar welding area, an electric welding cutting area, a distribution box area, a temporary electricity utilization area, a tunnel blasting area, a wood stacking area of a station room and a wood template cutting area.
S2, processing the picture information to obtain third information, wherein the third information comprises temperature information corresponding to a monitoring target in a railway construction site;
it can be understood that in the working state of the electrical equipment processing, the temperature of the electrical equipment is higher than the temperature in the air, so that the temperature information corresponding to the monitoring target in the railway construction site is obtained by processing the picture information, the accuracy of the temperature detection of the electrical equipment can be improved, and the purpose of improving the accuracy of fire early warning is achieved.
It will be appreciated that the step S2 includes steps S21, S22, S23 and S24, wherein:
s21, carrying out gray scale processing on the picture information to obtain a gray scale image corresponding to a monitoring target in a railway construction site;
it can be appreciated that the conversion of the color image into a gray image is facilitated by graying the color image captured by the thermal infrared imager.
S22, carrying out binarization processing on the gray-scale image corresponding to the monitoring target in the railway construction site to obtain a binarized image;
it is understood that the binarization of the gray-scale image is a technique well known to those skilled in the art, and will not be described herein.
S23, dividing the binarized image by using a maximum inter-class variance method to obtain an edge image of the target object;
it can be understood that the threshold value of image segmentation is determined by using the maximum inter-class variance method, so that the foreground and the background of the image can be accurately segmented without being influenced by the brightness and the contrast of the image, and the edge contour of the target object can be extracted, and the edge image of the target object can be obtained.
And step S24, obtaining temperature information corresponding to a monitoring target in the railway construction site according to the gray scale corresponding to the red channel of the edge image of the target.
It can be understood that when the fire disaster early warning is performed on the railway construction site, the temperature detection cannot be performed on each place of the railway construction site, so that the temperature detection is only performed on a flammable target area and electrical equipment, and the temperature of the flammable target area and the temperature of the electrical equipment can be obtained by detecting the gray scale corresponding to the red channel of the edge image of the target object, wherein the higher the gray scale value corresponding to the red channel is, the higher the temperature is.
Step S6, carrying out standardization processing on the first information, the second information and the third information to obtain standardized first information, standardized second information and standardized third information;
It may be understood that step S6 is further preceded by step S3, step S4 and step S5, where:
step S3, calculating according to the carbon monoxide concentration information measured by at least two measuring points to obtain a confidence distance, wherein the confidence distance comprises the confidence distance of the carbon monoxide concentration information between any two measuring points;
it can be understood that, in the measurement of the concentration of carbon monoxide, some measurement errors are inevitably introduced into the concentration data collected by the collector, so as to prevent the influence of invalid data of the measurement errors on the accuracy of fire early warning, the validity of the concentration information of carbon monoxide needs to be judged, wherein the method specifically comprises the following steps:
in the above, c i Information indicating the concentration of carbon monoxide at the ith measurement point, c j Carbon monoxide concentration information indicating the jth measuring point, d ij Representation of representation c i Pair c j Confidence distance d ji Representation c j Pair c i Is determined by the confidence distance of (1),
and->
The probability density function of the j measuring points and the probability density function of the i measuring points are respectively expressed, and the carbon monoxide concentration information between each measuring point can be calculated by the formulaConfidence distance.
S4, constructing a sample set based on the confidence distance;
s5, judging whether the confidence distance in the sample set is larger than a preset first threshold value, wherein if the confidence distance in the sample set is larger than the preset first threshold value, the carbon monoxide concentration information corresponding to the confidence distance is reserved as effective information; and if the confidence distance in the sample set is equal to the preset first threshold, filtering the carbon monoxide concentration information corresponding to the confidence distance.
It can be understood that the confidence distance can reflect the relationship of mutual support between the data collected by different measuring points, so that the lower carbon monoxide concentration can be filtered out through the preset first threshold value, the influence on the accuracy of fire early warning is prevented, the confidence distance also comprises the confidence distance of smoke concentration information between any two measuring points, and the specific calculation process is the same as the confidence distance principle of the carbon monoxide concentration information, so that the description is omitted.
It will be appreciated that the step S6 further includes a step S61, a step S62, a step S63, and a step S64, wherein:
step S61, acquiring fourth information and fifth information, wherein the fourth information comprises carbon monoxide concentration information and smoke concentration information acquired by measuring points in a first time period, the fifth information comprises temperature information of a monitoring target acquired by the measuring points in the first time period, the first time period takes the current time as the cut-off time, and the first time period is a time period with preset duration;
it will be appreciated that the time period set for the preset time period varies depending on the number of flammable areas within the railway construction site, wherein the greater the number of flammable areas, the longer the preset time period, typically the preset time period is set to 1 hour.
Step S62, respectively calculating the average value of the carbon monoxide concentration information acquired by the measuring points in the first time period, the average value of the smoke concentration information acquired by the measuring points in the first time period and the average value of the temperature information of the monitoring target acquired by the measuring points in the first time period to obtain sixth information;
it can be understood that, the calculation is performed by using the carbon monoxide concentration information in one hour, the smoke concentration information in one hour and the temperature information of the monitoring target in one hour, so as to obtain the average value of the collected carbon monoxide concentration information, the average value of the smoke concentration information collected by the measuring point in the first time period and the average value of the temperature information of the monitoring target collected by the measuring point in the first time period, wherein the specific steps are as follows:
in the above-mentioned method, the step of,
representing the average value of data acquired by the i-th measuring point within one hour, wherein i= 1,2,3,1 represents data corresponding to carbon monoxide concentration information, 2 represents data corresponding to smoke concentration information, 3 represents data corresponding to temperature information of a monitoring target, and (a) represents data corresponding to the temperature information of the monitoring target>
Indicating that the i-th sensor is at +.>
And the measured value of the moment, n, represents the data volume acquired by the sensor within one hour.
Step S63, processing missing information in the fourth information and the fifth information by utilizing the sixth information to obtain processed fourth information and processed fifth information;
It can be understood that in order to solve the problem that the carbon monoxide concentration information, the smoke concentration information and the temperature information of the monitoring target are missing and wrong, the missing data in the carbon monoxide concentration information, the smoke concentration information and the temperature information of the monitoring target are replaced by the average value in the time period, so that the accuracy of fire risk early warning is effectively improved.
And step S64, performing time registration on the processed fourth information and the processed fifth information by using a Lagrange interpolation method to obtain the normalized first information and the normalized third information.
It can be understood that, by adopting the lagrangian interpolation method, interpolation operation is performed by using three sampling values with the nearest registration time points, so as to obtain a series of carbon monoxide concentration information, smoke concentration information and temperature information of a detection target with the same sampling time and sampling interval at a fixed time point, thereby improving the accuracy of data.
Step S7, fusing the first information after the standardization processing with the third information after the standardization processing to obtain a first characteristic value; fusing the second information after the standardized processing to obtain a second characteristic value, wherein the first characteristic value is a value obtained by fusing carbon monoxide concentration information, smoke concentration information and temperature information acquired by a group of measuring points at the same time, and the second characteristic value is a value obtained by fusing the carbon monoxide concentration information, the smoke concentration information and the temperature information acquired when a fire disaster occurs;
It will be appreciated that the step S7 further includes a step S71, a step S72, and a step S73, wherein:
step S71, normalizing the normalized first information and the normalized third information to obtain normalized first information and normalized third information;
it can be understood that the normalized first information and the normalized third information can effectively reduce the absolute value difference of data under different dimensions, avoid the situation that big numerical data is submerged in small numerical data in the calculation process, and convert all the sensor data values into a unified measurement range, thereby providing convenience for the subsequent correlation analysis between the data.
Step S72, carrying out gray correlation analysis on the first information after normalization processing and the third information after normalization processing to obtain gray correlation coefficients corresponding to carbon monoxide concentration information, smoke concentration information and temperature information;
it can be understood that the correlation between the carbon monoxide concentration, the smoke concentration and the temperature information and the fire disaster can be obtained according to the gray correlation coefficient corresponding to the carbon monoxide concentration information, the gray correlation coefficient corresponding to the smoke concentration information and the gray correlation coefficient corresponding to the temperature information, wherein the calculation of the gray correlation coefficient corresponding to the carbon monoxide concentration information is a technology well known to those skilled in the art, and therefore, the calculation process of the gray correlation coefficient corresponding to the smoke concentration information and the gray correlation coefficient corresponding to the temperature information is the same as the description of the technology.
And step 73, calculating according to the gray correlation coefficient corresponding to the carbon monoxide concentration information, the gray correlation coefficient corresponding to the smoke concentration information and the gray correlation coefficient corresponding to the temperature information to obtain a first characteristic value.
It can be understood that the fusion between different data can be realized through the grey correlation coefficient corresponding to the different data, the information in the data is fully utilized, and the obtained fusion result can embody the fire disaster characteristics, so that the aim of improving the fire disaster early warning accuracy is fulfilled, wherein the specific calculation formula is as follows:
in the above-mentioned method, the step of,
representation->
Time first characteristic value->
1.ltoreq.j.ltoreq.m, representing +.>
Gray correlation coefficient of time i-th class data relative to j-th class data>
Representing->
The measurement value of the j-th sensor data at the moment needs to be explained that the calculation process of the second characteristic value is the same as the calculation principle of the first characteristic value.
And S8, calculating according to the first characteristic value and the second characteristic value to obtain the firing probability of the monitoring target in the railway construction site, and judging whether to send out early warning information according to the firing probability.
It will be appreciated that the step S8 further includes a step S81, a step S82, and a step S83, in which:
Step S81, calculating according to the first characteristic value and the second characteristic value to obtain seventh information, wherein the seventh information comprises firing probability of a monitoring target corresponding to a measuring point at each moment, and the measuring point comprises at least two groups;
it can be understood that a set of measuring points includes a carbon monoxide concentration information measuring point, a smoke concentration information measuring point and a temperature information measuring point, and multiple sets of measuring points can be set for a monitoring target to improve the accuracy of data, in addition, a first feature vector and a second feature vector are obtained by vectorizing the first feature value and the second feature value, and the firing probability of each moment of the monitoring target corresponding to the measuring point can be obtained by calculating the similarity of the second feature vector according to the first feature vector, wherein calculating the similarity of the second feature vector by calculating the first feature vector is known by those skilled in the art, so that redundant description is omitted.
S82, calculating the average value of the firing probability of the monitoring target of each group of measuring points according to the seventh information to obtain the firing probability of the monitoring target in the railway construction site at each moment;
it can be understood that, for a monitoring target, a set of measuring points can obtain the firing probability of the monitoring target, and the firing probability of the monitoring target is obtained by calculating the firing probability of each set of measuring points and then calculating the average value of the firing probabilities, so that the fire probability of the monitoring target is improved, the fire early-warning accuracy is improved, and the false alarm of fire early warning is reduced.
Step S83, judging whether to send out early warning information according to whether the ignition probability of the monitoring target in the railway construction site at each moment is greater than preset threshold information, wherein when the ignition probability of the monitoring target in the railway construction site at each moment is greater than a preset second threshold, on-site early warning is carried out on the monitoring target through a sound alarm; when the ignition probability of the monitoring target in the railway construction site at each moment is greater than a preset third threshold value, early warning information is sent to related responsible persons of the railway construction site; when the ignition probability of the monitoring target in the railway construction site at each moment is larger than a preset fourth threshold value, alarm information is sent to a fire emergency command center, and monitoring pictures corresponding to the monitoring target are synchronized in real time.
It can be understood that, based on the scenes corresponding to different monitoring targets, the second threshold, the third threshold and the fourth threshold are different, if the scene is an indoor inflammable area, the second threshold is set to 30%, the third threshold is set to 50%, the fourth threshold is set to 70%, if the scene is an outdoor inflammable area, the second threshold is set to 40%, the third threshold is set to 60%, the fourth threshold is set to 80%, if the ignition probability is greater than the second threshold, at this time, the ignition probability is lower, on-site early warning is performed through the sound alarm, on-site personnel is reminded to perform investigation, if the ignition probability is greater than the third threshold, the ignition probability continuously rises to represent on-site unmanned investigation, early warning information is sent to related responsible persons in a railway construction site, the responsible persons notify workers to the monitoring targets of investigation, if the ignition probability is greater than the fourth threshold, the monitoring targets are indicated to have a fire disaster at the maximum probability, and the alarm information is directly sent to a fire emergency command center.
Example 2:
as shown in fig. 2, the present embodiment provides a fire risk early warning system for a railway construction site, which includes an acquisition module 901, a first processing module 902, a second processing module 906, a third processing module 907, and a fourth processing module 908.
The acquisition module 901 acquires first information, second information and picture information, wherein the first information comprises smoke concentration information acquired by measuring points in a railway construction site and carbon monoxide concentration information acquired by measuring points in the railway construction site, the picture information comprises picture information of a monitoring target in the railway construction site, and the second information comprises carbon monoxide concentration information, smoke concentration information and temperature information acquired by each group of measuring points when the monitoring target is in fire;
the first processing module 902 processes the picture information to obtain third information, wherein the third information comprises temperature information corresponding to a monitoring target in a railway construction site;
the second processing module 906 performs normalization processing on the first information, the second information and the third information to obtain normalized first information, normalized second information and normalized third information;
A third processing module 907, configured to fuse the normalized first information with the normalized third information to obtain a first feature value; fusing the second information after the standardized processing to obtain a second characteristic value, wherein the first characteristic value is a value obtained by fusing carbon monoxide concentration information, smoke concentration information and temperature information acquired by a group of measuring points at the same time, and the second characteristic value is a value obtained by fusing the carbon monoxide concentration information, the smoke concentration information and the temperature information acquired when a fire disaster occurs;
and a fourth processing module 908, configured to calculate, according to the first feature value and the second feature value, a firing probability of the monitoring target in the railway construction site, and determine whether to send out early warning information according to the firing probability.
In one embodiment of the disclosure, the first processing module 902 includes a first processing unit 9021, a second processing unit 9022, a third processing unit 9023, and a fourth processing unit 9024, wherein:
the first processing unit 9021 is used for carrying out gray-scale processing on the picture information to obtain a gray-scale image corresponding to a monitoring target in the railway construction site;
The second processing unit 9022 is configured to perform binarization processing on the grayscale image corresponding to the monitoring target in the railway construction site, so as to obtain a binarized image;
a third processing unit 9023, configured to segment the binarized image by using a maximum inter-class variance method, to obtain an edge image of the target object;
and a fourth processing unit 9024, configured to obtain temperature information corresponding to a monitoring target in the railway construction site according to the gray level corresponding to the red channel of the edge image of the target.
In a specific embodiment of the present disclosure, the second processing module 906 further includes a calculating module 903, a constructing module 904, and a determining module 905, where:
the calculating module 903 is configured to calculate according to the carbon monoxide concentration information measured at least two measurement points, and obtain a confidence distance, where the confidence distance includes a confidence distance of the carbon monoxide concentration information between any two measurement points;
a construction module 904 for constructing a sample set based on the confidence distance;
a judging module 905, configured to judge whether a confidence distance in the sample set is greater than a preset first threshold, where if the confidence distance in the sample set is greater than the preset first threshold, the carbon monoxide concentration information corresponding to the confidence distance is reserved as effective information; and if the confidence distance in the sample set is equal to the preset first threshold, filtering the carbon monoxide concentration information corresponding to the confidence distance.
In a specific embodiment of the disclosure, the second processing module 906 includes an obtaining unit 9061, a first calculating unit 9062, a fifth processing unit 9063, and a sixth processing unit 9064, wherein:
an obtaining unit 9061, configured to obtain fourth information and fifth information, where the fourth information includes carbon monoxide concentration information and smoke concentration information collected at a measurement point in a first period, and the fifth information includes temperature information of a monitoring target collected at the measurement point in the first period, where the first period uses a current time as an ending time, and the first period is a time period of a preset duration;
the first calculating unit 9062 is configured to calculate, respectively, a mean value of carbon monoxide concentration information acquired at a measurement point in a first period of time, a mean value of smoke concentration information acquired at a measurement point in the first period of time, and a mean value of temperature information of a monitoring target acquired at a measurement point in the first period of time, to obtain sixth information;
a fifth processing unit 9063, configured to process missing information in the fourth information and the fifth information by using the sixth information, to obtain processed fourth information and processed fifth information;
and a sixth processing unit 9064, configured to perform time registration on the processed fourth information and the processed fifth information by using a lagrangian interpolation method, so as to obtain the normalized first information and the normalized third information.
In a specific embodiment of the disclosure, the third processing module 907 includes a seventh processing unit 9071, an eighth processing unit 9072, and a second computing unit 9073, wherein:
a seventh processing unit 9071, configured to normalize the normalized first information and the normalized third information to obtain normalized first information and normalized third information;
an eighth processing unit 9072, configured to perform gray correlation analysis on the normalized first information and the normalized third information, to obtain a gray correlation coefficient corresponding to carbon monoxide concentration information, a gray correlation coefficient corresponding to smoke concentration information, and a gray correlation coefficient corresponding to temperature information;
and the second calculating unit 9073 is configured to calculate according to the gray correlation coefficient corresponding to the carbon monoxide concentration information, the gray correlation coefficient corresponding to the smoke concentration information, and the gray correlation coefficient corresponding to the temperature information, to obtain a first feature value.
In a specific embodiment of the disclosure, the fourth processing module 908 includes a ninth processing unit 9081, a tenth processing unit 9082, and a judging unit 9083, wherein:
A ninth processing unit 9081, configured to calculate, according to the first feature value and the second feature value, obtain seventh information, where the seventh information includes a firing probability of a monitoring target corresponding to a measurement point at each moment, and the measurement point includes at least two groups;
a tenth processing unit 9082, configured to calculate, according to the seventh information, a mean value of fire probabilities of the monitoring targets of each group of measurement points, to obtain a fire probability of the monitoring targets in the railway construction site at each time;
the judging unit 9083 is configured to judge whether to send out early warning information according to whether the firing probability of the monitoring target in the railway construction site at each moment is greater than a preset threshold value, where when the firing probability of the monitoring target in the railway construction site at each moment is greater than a preset second threshold value, on-site early warning is performed at the monitoring target through a sound alarm; when the ignition probability of the monitoring target in the railway construction site at each moment is greater than a preset third threshold value, early warning information is sent to related responsible persons of the railway construction site; when the ignition probability of the monitoring target in the railway construction site at each moment is larger than a preset fourth threshold value, alarm information is sent to a fire emergency command center, and monitoring pictures corresponding to the monitoring target are synchronized in real time.
It should be noted that, regarding the system in the above embodiment, the specific manner in which the respective modules perform the operations has been described in detail in the embodiment regarding the method, and will not be described in detail herein.
Example 3:
corresponding to the above method embodiment, the present embodiment further provides a fire risk early-warning device for a railway construction site, where the fire risk early-warning device for a railway construction site described below and the fire risk early-warning method for a railway construction site described above may be referred to correspondingly with each other.
Fig. 3 is a block diagram illustrating a fire risk early warning apparatus 800 for a railway construction site according to an exemplary embodiment. As shown in fig. 3, the fire risk early warning apparatus 800 of the railway construction site may include: a processor 801, a memory 802. The fire risk early warning device 800 of the railway construction site may further include one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the fire risk early warning apparatus 800 of the railway construction site, so as to complete all or part of the steps in the fire risk early warning method of the railway construction site. The memory 802 is used to store various types of data to support the operation of the fire risk early warning device 800 at the railway construction site, which may include, for example, instructions for any application or method operating on the fire risk early warning device 800 at the railway construction site, as well as application related data, such as contact data, messages, pictures, audio, video, and the like. The Memory 802 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted through the communication component 805. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is configured to perform wired or wireless communication between the fire risk early warning device 800 and other devices at the railway construction site. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near FieldCommunication, NFC for short), 2G, 3G or 4G, or a combination of one or more thereof, the respective communication component 805 may thus comprise: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the fire risk warning device 800 of the railway construction site may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), digital signal processors (DigitalSignal Processor, abbreviated as DSP), digital signal processing devices (Digital Signal Processing Device, abbreviated as DSPD), programmable logic devices (Programmable Logic Device, abbreviated as PLD), field programmable gate arrays (Field Programmable Gate Array, abbreviated as FPGA), controllers, microcontrollers, microprocessors, or other electronic components for performing the fire risk warning method of the railway construction site described above.
In another exemplary embodiment, a computer readable storage medium is also provided that includes program instructions that, when executed by a processor, implement the steps of the fire risk early warning method of a railway construction site described above. For example, the computer readable storage medium may be the memory 802 including program instructions described above that are executable by the processor 801 of the fire risk early warning device 800 of a railway construction site to perform the fire risk early warning method of the railway construction site described above.
Example 4:
corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment, and a readable storage medium described below and a fire risk early warning method described above for a railway construction site may be referred to correspondingly.
A readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the fire risk early warning method for a railway construction site of the above method embodiment.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, and the like.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (6)
1. The fire risk early warning method for the railway construction site is characterized by comprising the following steps of:
acquiring first information, second information and picture information, wherein the first information comprises smoke concentration information acquired by measuring points in a railway construction site and carbon monoxide concentration information acquired by measuring points in the railway construction site, the picture information comprises picture information of a monitoring target in the railway construction site, and the second information comprises carbon monoxide concentration information, smoke concentration information and temperature information acquired by each group of measuring points when the monitoring target is in fire;
processing the picture information to obtain third information, wherein the third information comprises temperature information corresponding to a monitoring target in a railway construction site;
carrying out standardization processing on the first information, the second information and the third information to obtain standardized first information, standardized second information and standardized third information;
fusing the first information after the standardization processing with the third information after the standardization processing to obtain a first characteristic value; fusing the second information after the standardized processing to obtain a second characteristic value, wherein the first characteristic value is a value obtained by fusing carbon monoxide concentration information, smoke concentration information and temperature information acquired by a group of measuring points at the same time, and the second characteristic value is a value obtained by fusing the carbon monoxide concentration information, the smoke concentration information and the temperature information acquired when a fire disaster occurs;
Calculating according to the first characteristic value and the second characteristic value to obtain the firing probability of the monitoring target in the railway construction site, and judging whether to send out early warning information according to the firing probability;
the method for carrying out standardization processing on the first information, the second information and the third information to obtain the standardized first information, the standardized second information and the standardized third information comprises the following steps:
acquiring fourth information and fifth information, wherein the fourth information comprises carbon monoxide concentration information and smoke concentration information acquired by measuring points in a first time period, the fifth information comprises temperature information of a monitoring target acquired by the measuring points in the first time period, the first time period takes the current time as an interception time, and the first time period is a time period with preset duration;
respectively calculating the average value of the carbon monoxide concentration information acquired by the measuring points in the first time period, the average value of the smoke concentration information acquired by the measuring points in the first time period and the average value of the temperature information of the monitoring target acquired by the measuring points in the first time period to obtain sixth information;
processing the missing information in the fourth information and the fifth information by utilizing the sixth information to obtain processed fourth information and processed fifth information;
Performing time registration on the processed fourth information and the processed fifth information by using a Lagrangian interpolation method to obtain the normalized first information and the normalized third information;
the processing the picture information to obtain third information includes:
carrying out grey-scale treatment on the picture information to obtain grey-scale images corresponding to the monitoring targets in the railway construction sites;
performing binarization processing on the gray-scale image corresponding to the monitoring target in the railway construction site to obtain a binarized image;
dividing the binarized image by using a maximum inter-class variance method to obtain an edge image of the target object;
obtaining temperature information corresponding to a monitoring target in a railway construction site according to the gray level corresponding to the red channel of the edge image of the target;
the method for obtaining the first characteristic value comprises the following steps of:
normalizing the normalized first information and the normalized third information to obtain normalized first information and normalized third information;
Carrying out gray correlation analysis on the first information after normalization processing and the third information after normalization processing to obtain gray correlation coefficients corresponding to carbon monoxide concentration information, smoke concentration information and temperature information;
calculating according to the gray correlation coefficient corresponding to the carbon monoxide concentration information, the gray correlation coefficient corresponding to the smoke concentration information and the gray correlation coefficient corresponding to the temperature information to obtain a first characteristic value;
the method for determining whether to send out early warning information according to the firing probability of the monitoring target in the railway construction site comprises the following steps:
calculating according to the first characteristic value and the second characteristic value to obtain seventh information, wherein the seventh information comprises firing probability of a monitoring target corresponding to a measuring point at each moment, and the measuring point comprises at least two groups;
calculating the average value of the firing probability of the monitoring target of each group of measuring points according to the seventh information to obtain the firing probability of the monitoring target in the railway construction site at each moment;
Judging whether to send out early warning information according to whether the firing probability of the monitoring target in the railway construction site is greater than preset threshold information or not at each moment, wherein when the firing probability of the monitoring target in the railway construction site is greater than a preset second threshold at each moment, on-site early warning is carried out at the monitoring target through an audible alarm; when the ignition probability of the monitoring target in the railway construction site at each moment is greater than a preset third threshold value, early warning information is sent to related responsible persons of the railway construction site; and when the firing probability of the monitoring target in the railway construction site at each moment is greater than a preset fourth threshold value, sending alarm information to a fire emergency command center, and synchronizing the monitoring picture corresponding to the monitoring target in real time.
2. The fire risk early warning method of a railway construction site according to claim 1, characterized by further comprising, before the first information, the second information, and the third information are normalized:
calculating according to the carbon monoxide concentration information measured by at least two measuring points to obtain a confidence distance, wherein the confidence distance comprises the confidence distance of the carbon monoxide concentration information between any two measuring points;
Constructing a sample set based on the confidence distance;
judging whether the confidence distance in the sample set is larger than a preset first threshold value, wherein if the confidence distance in the sample set is larger than the preset first threshold value, the carbon monoxide concentration information corresponding to the confidence distance is reserved as effective information; and if the confidence distance in the sample set is equal to the preset first threshold, filtering the carbon monoxide concentration information corresponding to the confidence distance.
3. Fire risk early warning system of railway construction building site, its characterized in that includes:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring first information, second information and picture information, the first information comprises smoke concentration information acquired by measuring points in a railway construction site and carbon monoxide concentration information acquired by measuring points in the railway construction site, the picture information comprises picture information of a monitoring target in the railway construction site, and the second information comprises carbon monoxide concentration information, smoke concentration information and temperature information acquired by each group of measuring points when the monitoring target is in fire;
the first processing module is used for processing the picture information to obtain third information, wherein the third information comprises temperature information corresponding to a monitoring target in a railway construction site;
The second processing module is used for carrying out standardization processing on the first information, the second information and the third information to obtain standardized first information, standardized second information and standardized third information;
the third processing module is used for fusing the first information after the standardization processing with the third information after the standardization processing to obtain a first characteristic value; fusing the second information after the standardized processing to obtain a second characteristic value, wherein the first characteristic value is a value obtained by fusing carbon monoxide concentration information, smoke concentration information and temperature information acquired by a group of measuring points at the same time, and the second characteristic value is a value obtained by fusing the carbon monoxide concentration information, the smoke concentration information and the temperature information acquired when a fire disaster occurs;
the fourth processing module is used for calculating according to the first characteristic value and the second characteristic value to obtain the firing probability of the monitoring target in the railway construction site, and judging whether to send out early warning information according to the firing probability;
wherein the second processing module comprises:
the device comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring fourth information and fifth information, the fourth information comprises carbon monoxide concentration information and smoke concentration information acquired by measuring points in a first time period, the fifth information comprises temperature information of a monitoring target acquired by the measuring points in the first time period, the first time period takes the current time as the cut-off time, and the first time period is a time period with preset duration;
The first calculation unit is used for calculating the average value of the carbon monoxide concentration information acquired by the measuring points in the first time period, the average value of the smoke concentration information acquired by the measuring points in the first time period and the average value of the temperature information of the monitoring target acquired by the measuring points in the first time period respectively to obtain sixth information;
a fifth processing unit, configured to process missing information in the fourth information and the fifth information by using the sixth information, to obtain processed fourth information and processed fifth information;
a sixth processing unit, configured to perform time registration on the processed fourth information and the processed fifth information by using a lagrangian interpolation method, so as to obtain the normalized first information and the normalized third information;
wherein the first processing module comprises:
the first processing unit is used for carrying out gray-scale processing on the picture information to obtain a gray-scale image corresponding to a monitoring target in the railway construction site;
the second processing unit is used for carrying out binarization processing on the gray-scale image corresponding to the monitoring target in the railway construction site to obtain a binarized image;
the third processing unit is used for dividing the binarized image by using a maximum inter-class variance method to obtain an edge image of the target object;
The fourth processing unit is used for obtaining temperature information corresponding to a monitoring target in the railway construction site according to the gray level corresponding to the red channel of the edge image of the target object;
wherein the third processing module comprises:
a seventh processing unit, configured to normalize the normalized first information and the normalized third information to obtain normalized first information and normalized third information;
the eighth processing unit is used for carrying out gray correlation analysis on the first information after normalization processing and the third information after normalization processing to obtain a gray correlation coefficient corresponding to carbon monoxide concentration information, a gray correlation coefficient corresponding to smoke concentration information and a gray correlation coefficient corresponding to temperature information;
the second calculation unit is used for calculating according to the gray correlation coefficient corresponding to the carbon monoxide concentration information, the gray correlation coefficient corresponding to the smoke concentration information and the gray correlation coefficient corresponding to the temperature information to obtain a first characteristic value;
wherein the fourth processing module comprises:
a ninth processing unit, configured to calculate according to the first feature value and the second feature value, to obtain seventh information, where the seventh information includes a firing probability of a monitoring target corresponding to a measurement point at each moment, and the measurement point includes at least two groups;
A tenth processing unit, configured to calculate, according to the seventh information, a mean value of firing probabilities of the monitoring targets at each set of measurement points, to obtain a firing probability of the monitoring targets in the railway construction site at each time;
the judging unit is used for judging whether to send out early warning information according to whether the ignition probability of the monitoring target in the railway construction site at each moment is greater than preset threshold information, wherein when the ignition probability of the monitoring target in the railway construction site at each moment is greater than a preset second threshold value, the on-site early warning is carried out on the monitoring target through the sound alarm; when the ignition probability of the monitoring target in the railway construction site at each moment is greater than a preset third threshold value, early warning information is sent to related responsible persons of the railway construction site; and when the firing probability of the monitoring target in the railway construction site at each moment is greater than a preset fourth threshold value, sending alarm information to a fire emergency command center, and synchronizing the monitoring picture corresponding to the monitoring target in real time.
4. The fire risk early warning system of a railway construction site of claim 3, further comprising, prior to the second processing module:
the calculation module is used for calculating according to the carbon monoxide concentration information measured by at least two measuring points to obtain a confidence distance, wherein the confidence distance comprises the confidence distance of the carbon monoxide concentration information between any two measuring points;
A construction module for constructing a sample set based on the confidence distance;
the judging module is used for judging whether the confidence distance in the sample set is larger than a preset first threshold value, wherein if the confidence distance in the sample set is larger than the preset first threshold value, the carbon monoxide concentration information corresponding to the confidence distance is reserved as effective information; and if the confidence distance in the sample set is equal to the preset first threshold, filtering the carbon monoxide concentration information corresponding to the confidence distance.
5. Fire risk early warning equipment of railway construction building site, its characterized in that includes:
a memory for storing a computer program;
a processor for implementing the steps of the fire risk early warning method of a railway construction site according to any one of claims 1 to 2 when executing the computer program.
6. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the fire risk early warning method of a railway construction site according to any one of claims 1 to 2.
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