CN115936441A - Gas station risk management and control method, device, equipment and medium - Google Patents
Gas station risk management and control method, device, equipment and medium Download PDFInfo
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Abstract
The application provides a risk management and control method, a risk management and control device, risk management and control equipment and a risk management and control medium for a gas station, wherein the method comprises the following steps: acquiring the total gasoline amount of gasoline stored in each gasoline station in a target area; counting the number of people in each sub-area in the target area according to the demographic data and the real-time traffic data; calculating a dangerous area according to the total gasoline amount and the number of the personnel; and carrying out early warning according to the dangerous area.
Description
Technical Field
The application relates to the field of data processing, in particular to a method, a device, equipment and a medium for risk management and control of a gas station.
Background
With the improvement of living standard, the automobile keeping quantity of China is increased year by year, and the number of gas stations in each place is gradually increased in order to improve the convenience of automobile use.
The refueling station is mainly a replenishing station for providing retail gasoline and engine oil for automobiles and other motor vehicles, and generally provides services of adding fuel oil, lubricating oil and the like. Because the petroleum commodities sold by the gas station have the characteristics of easy combustion and explosion, easy volatilization, easy leakage and easy static charge accumulation, the gas station takes 'safety' as a first criterion.
Despite the strict safety operating regulations within gasoline stations, the number of accidents occurring in gasoline stations is still increasing for various reasons.
Disclosure of Invention
In view of this, an object of the present application is to provide a method, an apparatus, a device, and a medium for managing and controlling a risk of a gas station, which are used to solve the problem that a security of a gas station is low in the prior art.
In a first aspect, an embodiment of the present application provides a method for managing and controlling risk of a gas station, which includes:
acquiring the total gasoline amount of gasoline stored in each gasoline station in a target area;
counting the number of people in each sub-area in the target area according to the demographic data and the real-time traffic data;
calculating a dangerous area according to the total gasoline amount and the number of the personnel;
and carrying out early warning according to the dangerous area.
Optionally, the number of people includes a density of people; calculating a danger area according to the total gasoline amount and the number of people, comprising:
calculating the explosion equivalent according to the total amount of the gasoline;
calculating an explosion influence range according to the explosion equivalent;
and calculating the dangerous area according to the influence range and the personnel density.
Optionally, calculating the explosion equivalent according to the total amount of gasoline, including:
calculating the explosion equivalent according to the following formula;
wherein:
W TNT is the explosive equivalent in kg;
W f is the total amount of gasoline in kg;
alpha is an equivalent coefficient, and the value is 0.04;
Q TNT the explosive heat of TNT is 4.52MJ/kg;
Q f the combustion heat of the gasoline is 4.4MJ/kg.
Optionally, the influence range includes a high-risk region area calculated according to the high-risk radius, a severe injury region area calculated according to the severe injury radius, and a light injury region area calculated according to the light injury radius;
the high-risk radius is calculated according to the following formula:
R 1 ＝13.6(W TNT /1000) 0.37 ；
wherein, W TNT Is the explosive equivalent in kg;
R 1 is a high risk radius;
the severe injury radius is calculated according to the following formula:
wherein:
R 2 is the severe injury radius;
ΔP Hs the peak value of shock wave causing serious injury to people is 44000Pa;
P 0 is ambient pressure, 101300Pa;
e is total energy of explosion，E＝W TNT ×Q TNT ；
The soft-cut radius is calculated according to the following formula:
wherein:
R 3 is the minor injury radius;
ΔP hs the peak value of the shock wave causing the light injury of the personnel is 17000Pa;
P 0 is the ambient pressure, taking 101300Pa;
e is total energy of explosion, E = W TNT ×Q TNT 。
Optionally, the counting the number of people in each sub-area in the target area according to the demographic data and the real-time traffic data includes:
calculating the number of people in a home state and the number of people in an out state in each sub-region according to the number of people in different professions in each sub-region in the demographic data and the current time;
determining the temporary personnel number of each sub-area based on the traffic flow density of each sub-area in the real-time traffic data;
and calculating the number of the personnel in each sub-area according to the number of the personnel in the home state, the number of the personnel in the out state and the temporary number of the personnel in each sub-area.
Optionally, the early warning according to the dangerous area includes:
respectively judging whether the personnel density and the personnel total amount in the area of the high-risk area, the personnel density and the personnel total amount in the area of the heavy injury area and the personnel density and the personnel total amount in the area of the light injury area exceed warning values;
and if at least one of the personnel density and the personnel total amount in the area of the high-risk area, the personnel density and the personnel total amount in the area of the heavy injury area, and the personnel density and the personnel total amount in the area of the light injury area exceeds a warning value, early warning is carried out according to the dangerous area.
Optionally, the early warning according to the dangerous area includes:
issuing alarm information to personnel in a high-risk area, a heavy injury area and a light injury area;
issuing current limiting information, business time adjusting information and drainage information to gas stations in high-risk areas, severe injury areas and light injury areas; the drainage information is used for representing that users in the refueling stations in the high-risk area, the heavy injury area and the light injury area are drained to the refueling stations in the safe area.
In a second aspect, an embodiment of the present application provides a risk management and control device for a gas station, including:
the acquisition module is used for acquiring the total gasoline amount of gasoline stored in each gasoline station in the target area;
the counting module is used for counting the number of people in each sub-area in the target area according to the demographic data and the real-time traffic data;
the calculation module is used for calculating a dangerous area according to the total gasoline amount and the number of the personnel;
and the early warning module is used for carrying out early warning according to the dangerous area.
In a third aspect, an embodiment of the present application provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, performs the steps of the above method.
According to the risk control method for the gas stations, the total gasoline amount of gasoline stored in each gas station in a target area is obtained; counting the number of people in each area in the target area according to the demographic data and the real-time traffic data; then calculating a dangerous area according to the total gasoline amount and the number of people; and finally, early warning is carried out according to the dangerous area. The processing mode can predict the regions where the danger is likely to occur in advance before the danger occurs, and pre-warn corresponding personnel, so that the pre-warning work is advanced, and the overall safety is improved.
In order to make the aforementioned objects, features and advantages of the present application comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow chart of a risk management and control method for a gas station according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for calculating the number of people in each sub-area according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a risk management and control device of a gas station according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as presented in the figures, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
Conventionally, risk prevention and control of gasoline stations is usually performed when a danger has occurred, such as a situation where a fuel leakage occurs from a fuel gun of a gasoline station or a situation where combustion occurs in a gasoline station. However, such risk prevention and control methods are both post-incident prevention and control, that is, prevention and control are performed after danger has occurred, and such prevention and control methods are relatively ineffective.
To overcome the defects in the prior art, the present application provides a gasoline station risk management and control method, as shown in fig. 1, including:
s101, acquiring the total gasoline amount of gasoline stored in each gasoline station in a target area;
s102, counting the number of people in each area in a target area according to the demographic data and the real-time traffic data;
s103, calculating a dangerous area according to the total gasoline amount and the number of the personnel;
and S104, early warning is carried out according to the dangerous area.
In step S101, the target area may be a city or a certain area in a city, and the target area usually has a plurality of gas stations, because each gas station usually radiates shock waves outwards in a circular or approximately circular shape when an explosion occurs, so that in the subsequent step, if the low-risk areas (e.g. light injury areas) affected by two gas stations respectively overlap when the explosion equivalent is estimated, the overlapped area may become a high-risk area (e.g. heavy injury area). Therefore, all the gas stations in the whole area should be considered cooperatively, rather than considering the influence range of one gas station.
When a gas station explodes, the total amount of gasoline is a main factor for measuring the explosion influence range and the explosion influence, so that the total amount of gasoline in every other gas station needs to be acquired in step S101.
In step S102, the number of people in each sub-area in the target area needs to be counted according to the demographic data and the real-time traffic data. The number of persons generally refers to two indexes of total number of persons and density of persons.
Specifically, as shown in fig. 2, step S102 can be implemented as follows:
s1021, calculating the number of people in a home state and the number of people in an out state in each subarea according to the number of people in different professions in each subarea in the demographic data and the current time;
s1022, determining the temporary number of people in each sub-area based on the traffic flow density of each sub-area in the real-time traffic data;
and S1023, calculating the number of people in each sub-area according to the number of people in the home state, the number of people in the out state and the number of temporary people in each sub-area.
In step S1021, the number of persons who are at home and out at the current time may be determined according to the occupation of each person and the current time. This is done mainly on the basis that the working hours of different professions are relatively certain. For example, for most general occupations, the working hours (for example, the working hours of the staff working in an office building are usually from 8 am to 7 am) should be in an outgoing state, and for the catering industry, the working hours are advanced to 6 am. For a small percentage of night shift personnel, the work hours may be adjusted to 4 pm to 5 am. For retired persons, most of them are at home.
The current time can determine whether different jobs are in a home state or an outgoing state, and the number of people in the home state and the outgoing state can be determined according to whether the jobs are in a holiday state or not, for example, when the jobs are in the holiday state, people with a preset proportion go out, but the people with a high outgoing probability do not go to work.
In step S1022, the number of temporary people is determined based on the traffic density of each sub-area. Generally speaking, most people on board a vehicle are not people who have been resident in the current sub-area for a long time, and people are usually transferred from one sub-area to another by driving on a vehicle, so that the number of temporary people can be determined by the traffic density. Preferably, the number of temporary people should be determined by counting all people outside the building, but it is difficult to realize the technology, so the total amount of the automobile can be estimated by the traffic density (the data can be obtained in an electronic map), the total amount of people in the vehicle can be further estimated (the ratio of people in each vehicle in different time periods can be obtained by public data query), the total amount of people in walking or riding can be further estimated approximately according to the total amount of people in the vehicle, and the number of temporary people can be determined according to the total amount of people in the vehicle and the total amount of people in walking or riding.
Finally, in step S1023, the number of people in the home state and the number of people in the out state may be adjusted according to the number of temporary people to determine the number of people in each sub-area.
It should be noted that, when the number of temporary people is counted, the statistics may be performed with assistance from the camera, for example, outdoor images may be captured by the camera, the number of cars passing through in unit time and the number of pedestrians and bikers may be identified by the machine learning model, and the number of cars passing through in unit time and the number of pedestrians and bikers in the picture not captured by the camera may be estimated based on the result estimated from the picture captured by the camera.
In step S103, it is necessary to calculate the dangerous area based on the total amount of gasoline and the number of people.
If the gas station is in the target subarea and any one of the following conditions is met, the target subarea belongs to the danger area:
condition 1, the number of people in the subregion is excessive;
condition 2, the total amount of gasoline at the gas stations (all gas stations) in the cap area is too large;
that is, the greater the number of people that may be affected by an explosion or the more power of the explosion that is predicted to be excessive, the sub-region is judged to be a dangerous region.
Specifically, step S103 may be performed as follows:
step 1031, calculating explosion equivalent according to the total amount of gasoline;
step 1032, calculating an explosion influence range according to the explosion equivalent;
step 1033, calculating a danger zone based on the impact area and the personnel density.
In step 1031, the explosion equivalent of each gas station may be calculated according to the total gasoline amount, and specifically may be calculated according to the following formula:
wherein:
W TNT is the explosive equivalent in kg;
W f is the total amount of gasoline in kg;
alpha is an equivalent coefficient, and the value is 0.04;
Q TNT the explosion heat of TNT is 4.52MJ/kg;
Q f is the combustion heat of gasoline, and takes 4.4MJ/kg.
In step 1032, the explosion influence range can be calculated according to the explosion equivalent, generally speaking, the larger the explosion equivalent, the larger the influence range. In fact, considering that when a gas station explodes, the explosion radiates shock waves outwards in a circular or approximately circular shape, the data ultimately needed to be referenced in this step is the number of people at different distances from the gas station for more accurate calculation. Therefore, when the step is implemented, the distance between each person and the gas station can be calculated according to the position of the gas station and the position of each person, and different persons are divided into a plurality of gears according to the distance, such as a high-risk gear (high-risk area), a heavy-injury gear (heavy-injury area) and a light-injury gear (light-injury area). That is, three circles with different radii can be drawn by taking the gas station as a center of a circle, wherein a high-risk area is arranged in the circle with the smallest radius, a severe injury area is arranged between the circle with the smallest radius and the circle with the medium radius, a light injury area is arranged between the circle with the medium radius and the circle with the largest radius, and a safe area is arranged outside the circle with the largest radius (generally, the safe area refers to an area where sound can be heard but the body cannot be substantially injured).
Specifically, the influence range can be divided into three types according to the intensity of influence, namely, a high-risk area (where the person may be in danger), a severe injury area (where the person may not be in danger but is in serious danger and needs to go to a hospital for diagnosis and treatment), and a mild injury area (where the person may be in a mild injury area and generally only suffers from skin level damage), and the range (or area) of the corresponding area can be calculated according to the killing radius (including the high-risk radius, the severe injury radius and the mild injury radius) calculated by the explosion equivalent in consideration of the fact that the person is generally in a circular shape and radiates shock waves outwards when the gas station explodes.
That is, the influence range includes a high-risk region area calculated according to the high-risk radius, a severe injury region area calculated according to the severe injury radius, and a light injury region area calculated according to the light injury radius;
the high risk radius is calculated according to the following formula:
R 1 ＝13.6(W TNT /1000) 0.37 ；
wherein, W TNT Is the explosive equivalent in kg;
R 1 is a high risk radius;
the severe injury radius is calculated according to the following formula:
wherein:
R 2 is the severe injury radius;
ΔP Hs the peak value of shock wave causing serious injury to people is 44000Pa;
P 0 is ambient pressure, 101300Pa;
e is total energy of explosion, E = W TNT ×Q TNT ；
The soft-cut radius is calculated according to the following formula:
wherein:
R 3 is the radius of light injury;
ΔP hs the peak value of shock wave causing light injury to people is 17000Pa;
P 0 is the ambient pressure, taking 101300Pa;
e is total explosive energy, E = W TNT ×Q TNT 。
However, in the actual calculation, it may be difficult to calculate the distance between each user and the gas station in consideration of the calculation power and the efficiency, and therefore, it is considered that the calculation is performed in a simplified manner.
Finally, in step S104, an early warning is required, and of course, a judgment may be performed before the early warning to determine whether the early warning is required. Specifically, whether the personnel density and the personnel total amount in the area of the high-risk area, the personnel density and the personnel total amount in the area of the heavy injury area, and the personnel density and the personnel total amount in the area of the light injury area exceed the warning values or not can be respectively judged;
and if at least one of the personnel density and the personnel total amount in the area of the high-risk area, the personnel density and the personnel total amount in the area of the heavy injury area, and the personnel density and the personnel total amount in the area of the light injury area exceeds a warning value, early warning is carried out according to the dangerous area.
That is, when a certain person parameter in a certain area is too large or when a plurality of person parameters are too large, an early warning is performed (the early warning here is not an alarm, but only a prompt, and the prompt does not represent that a hazard has occurred, which is a main difference between the present scheme and the conventional technology). The specific early warning mode can be as follows:
issuing alarm information to personnel in a high-risk area, a heavy injury area and a light injury area;
issuing current limiting information, business time adjusting information and drainage information to gas stations in a high-risk area, a severe injury area and a light injury area; the drainage information is used for representing that users in the refueling stations in the high-risk area, the heavy injury area and the light injury area are drained to the refueling stations in the safe area.
Here, the purpose of issuing warning information to personnel in the high-risk area, the heavy injury area and the light injury area is to prevent the personnel from being too dense, and when the user explodes on its own principle by means of the information sending mode, the overall risk is reduced by the area with serious explosion consequences or the area with high personnel density.
The method for issuing the flow limiting information, the business time adjusting information and the drainage information to the gas station is mainly to expect that the gas station can broadcast to users to reduce the personnel density in a certain area and further reduce risks. The flow limit information refers to the number of users that can be borne by a certain gas station at most, and the total queuing amount of queuing for refueling can be controlled in sequence. The business time adjustment information shows the business plan of a certain gas station, and the queuing time is shorter for the gas station with shorter business time, so that the queuing total amount can be controlled, or the function of guiding the flow to other gas stations is realized. The drainage information is more direct, and the user can be directly provided with a designated gas station by the gas station to drain. The fuel stations designated herein may be fuel stations with a lower load rate (fewer users in line). The way of draining may be that a gas station provides a coupon to the user, which coupon can only be used at the draining gas station (the gas station with the lower load rate provided by the gas station to the user).
Generally, the main purpose of drainage is to drain high risk areas to low risk areas or non-risk areas. For example, the user is drained from a high-risk area to a severe injury area, a light injury area or a safe area; draining the user from the severely injured area to the lightly injured area or the safe area; or draining the user from the light injury area to a safe area.
The embodiment of the application provides a risk management and control device of a gas station, as shown in fig. 3, includes:
an obtaining module 301, configured to obtain a total amount of gasoline stored in each gas station in a target area;
a counting module 302, configured to count the number of people in each sub-area in the target area according to the demographic data and the real-time traffic data;
a calculation module 303, configured to calculate a dangerous area according to the total gasoline amount and the number of people;
and the early warning module 304 is configured to perform early warning according to the dangerous area.
Optionally, the number of people includes a density of people; the calculation module comprises:
the first calculating unit is used for calculating the explosion equivalent according to the total amount of the gasoline;
the second calculation unit is used for calculating the explosion influence range according to the explosion equivalent;
and the third calculating unit is used for calculating the dangerous area according to the influence range and the personnel density.
Optionally, calculating the explosion equivalent according to the total amount of gasoline, including:
calculating the explosion equivalent according to the following formula;
wherein:
W TNT is the explosive equivalent in kg;
W f is the total amount of gasoline in kg;
alpha is an equivalent coefficient, and the value of alpha is 0.04;
Q TNT the explosion heat of TNT is 4.52MJ/kg;
Q f is the combustion heat of gasoline, and takes 4.4MJ/kg.
Optionally, the influence range includes a high-risk region area calculated according to the high-risk radius, a severe injury region area calculated according to the severe injury radius, and a light injury region area calculated according to the light injury radius;
the high risk radius is calculated according to the following formula:
R 1 ＝13.6(W TNT /1000) 0.37 ；
wherein, W TNT Is the explosive equivalent in kg;
R 1 is a high risk radius;
the severe injury radius is calculated according to the following formula:
wherein:
R 2 is the severe injury radius;
ΔP Hs the peak value of shock wave causing serious injury to people is 44000Pa;
P 0 is ambient pressure, 101300Pa;
e is total energy of explosion, E = W TNT ×Q TNT ；
The soft-cut radius is calculated according to the following formula:
wherein:
R 3 is the minor injury radius;
ΔP hs the peak value of shock wave causing light injury to people is 17000Pa;
P 0 is the ambient pressure, taking 101300Pa;
e is total energy of explosion, E = W THT ×Q THT 。
Optionally, the statistical module includes:
the fourth calculating unit is used for calculating the number of people in a home state and the number of people in an out state in each sub-region according to the number of people in different professions in each sub-region in the demographic data and the current time;
the fifth calculation unit is used for determining the temporary personnel number of each sub-area based on the traffic flow density of each sub-area in the real-time traffic data;
and the sixth calculating unit is used for calculating the number of the persons in each sub-area according to the number of the persons in the home state, the number of the persons in the out state and the temporary number of the persons in each sub-area.
Optionally, the early warning module includes:
the judging unit is used for respectively judging whether the personnel density and the personnel total amount in the high-risk area, the personnel density and the personnel total amount in the heavy injury area and the personnel density and the personnel total amount in the light injury area exceed warning values;
and the early warning unit is used for carrying out early warning according to the dangerous area if at least one of the personnel density and the personnel total amount in the high-risk area, the personnel density and the personnel total amount in the heavy injury area, and the personnel density and the personnel total amount in the light injury area exceeds a warning value.
Optionally, the early warning module includes:
the first issuing unit is used for issuing alarm information to personnel in a high-risk area, a heavy injury area and a light injury area;
the second issuing unit is used for issuing current limiting information, business time adjusting information and drainage information to gas stations in a high-risk area, a severe injury area and a mild injury area; the drainage information is used for representing that users in the refueling stations in the high-risk area, the heavy injury area and the light injury area are drained to the refueling stations in the safe area.
Corresponding to the gas station risk management and control method in fig. 1, an embodiment of the present application further provides a computer device 400, as shown in fig. 4, the device includes a memory 401, a processor 402, and a computer program stored in the memory 401 and being executable on the processor 402, where the processor 402 implements the gas station risk management and control method when executing the computer program.
Specifically, the memory 401 and the processor 402 can be general memories and processors, which are not limited in particular, and when the processor 402 runs a computer program stored in the memory 401, the gasoline station risk management and control method can be executed, so that the problem of low safety of a gasoline filling station in the prior art is solved.
Corresponding to the gas station risk management and control method in fig. 1, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor to perform the steps of the gas station risk management and control method.
Specifically, the storage medium can be a general storage medium, such as a mobile disk, a hard disk, and the like, and when a computer program on the storage medium is run, the method for managing and controlling the risk of the gas station can be executed, so that the problem of low safety of the gas station in the prior art is solved; counting the number of people in each area in the target area according to the demographic data and the real-time traffic data; then calculating a dangerous area according to the total gasoline amount and the number of the personnel; and finally, early warning is carried out according to the dangerous area. The processing mode can predict the regions where the danger is likely to occur in advance before the danger occurs, and pre-warn corresponding personnel, so that the pre-warning work is advanced, and the overall safety is improved.
In the embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present application, and are used to illustrate the technical solutions of the present application, but not to limit the technical solutions, and the scope of the present application is not limited to the above-mentioned embodiments, although the present application is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope disclosed in the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the present disclosure, which should be construed in light of the above teachings. Are intended to be covered by the scope of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A risk management and control method for a gas station is characterized by comprising the following steps:
acquiring the total gasoline amount of gasoline stored in each gasoline station in a target area;
counting the number of people in each sub-area in the target area according to the demographic data and the real-time traffic data;
calculating a dangerous area according to the total gasoline amount and the number of the personnel;
and carrying out early warning according to the dangerous area.
2. The method of claim 1, wherein the number of people comprises a density of people; calculating a danger area according to the total gasoline amount and the number of people, comprising:
calculating the explosion equivalent according to the total amount of the gasoline;
calculating an explosion influence range according to the explosion equivalent;
and calculating the dangerous area according to the influence range and the personnel density.
3. The method of claim 2, wherein calculating the explosive equivalent based on the total amount of gasoline comprises:
calculating the explosion equivalent according to the following formula;
wherein:
W TNT is the explosive equivalent in kg;
W f is the total amount of gasoline in kg;
alpha is an equivalent coefficient, and the value of alpha is 0.04;
Q TNT the explosion heat of TNT is 4.52MJ/kg;
Q f is the combustion heat of gasoline, and takes 4.4MJ/kg.
4. The method according to claim 3, wherein the influence range comprises a high risk area calculated according to a high risk radius, a severe injury area calculated according to a severe injury radius, and a light injury area calculated according to a light injury radius;
the high risk radius is calculated according to the following formula:
R 1 ＝13.6(W TNT /1000) 0.37 ；
wherein, W TNT Is the explosive equivalent in kg;
R 1 is a high risk radius;
the severe injury radius is calculated according to the following formula:
wherein:
R 2 is the severe injury radius;
ΔP Hs the peak value of shock wave causing serious injury to people is 44000Pa;
P 0 is ambient pressure, 101300Pa;
e is total energy of explosion, E = W TNT ×Q TNT ；
The soft-cut radius is calculated according to the following formula:
wherein:
R 3 is the minor injury radius;
ΔP hs the peak value of shock wave causing light injury to people is 17000Pa;
P 0 is the ambient pressure, taking 101300Pa;
e is total energy of explosion, E = W TNT ×Q TNT 。
5. The method of claim 1, wherein counting the number of people in each sub-area of the target area based on the demographic data and the real-time traffic data comprises:
calculating the number of people in a home state and the number of people in an out state in each sub-region according to the number of people in different professions in each sub-region in the demographic data and the current time;
determining the temporary personnel number of each sub-area based on the traffic flow density of each sub-area in the real-time traffic data;
and calculating the number of the personnel in each sub-area according to the number of the personnel in the home state, the number of the personnel in the out state and the temporary number of the personnel in each sub-area.
6. The method of claim 4, wherein performing early warning in accordance with the hazardous area comprises:
respectively judging whether the personnel density and the personnel total amount in the area of the high-risk area, the personnel density and the personnel total amount in the area of the heavy injury area and the personnel density and the personnel total amount in the area of the light injury area exceed warning values;
and if at least one of the personnel density and the personnel total amount in the area of the high-risk area, the personnel density and the personnel total amount in the area of the heavy injury area, and the personnel density and the personnel total amount in the area of the light injury area exceeds a warning value, early warning is carried out according to the dangerous area.
7. The method of claim 4, wherein performing early warning in accordance with the hazardous area comprises:
issuing alarm information to personnel in a high-risk area, a heavy injury area and a light injury area;
issuing current limiting information, business time adjusting information and drainage information to gas stations in a high-risk area, a severe injury area and a light injury area; the drainage information is used for representing that users in the refueling stations in the high-risk area, the heavy injury area and the light injury area are drained to the refueling stations in the safe area.
8. The utility model provides a filling station risk management and control device which characterized in that includes:
the acquisition module is used for acquiring the total gasoline amount of gasoline stored in each gasoline station in the target area;
the counting module is used for counting the number of people in each sub-area in the target area according to the demographic data and the real-time traffic data;
the calculation module is used for calculating a dangerous area according to the total gasoline amount and the number of the personnel;
and the early warning module is used for carrying out early warning according to the dangerous area.
9. A computer arrangement comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method of any of the preceding claims 1-7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, is adapted to carry out the steps of the method according to any one of the preceding claims 1 to 7.
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| CN117436711A (en) * | 2023-12-20 | 2024-01-23 | 深圳市兰洋科技有限公司 | Liquefied gas steel cylinder supervision system and supervision method based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117436711A (en) * | 2023-12-20 | 2024-01-23 | 深圳市兰洋科技有限公司 | Liquefied gas steel cylinder supervision system and supervision method based on Internet of things |
| CN117436711B (en) * | 2023-12-20 | 2024-04-02 | 深圳市兰洋科技有限公司 | Liquefied gas steel cylinder supervision system and supervision method based on Internet of things |
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