CN117371836A - Highway tunnel fire rescue capability assessment method and system based on regional visual angle - Google Patents
Highway tunnel fire rescue capability assessment method and system based on regional visual angle Download PDFInfo
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Abstract
The invention discloses a highway tunnel fire-fighting rescue capability assessment method and system based on a regional visual angle, wherein the method comprises the following steps: determining various fire-fighting vehicles required by the corresponding fire scene and weight coefficients of the fire-fighting vehicles according to the potential fire scene type and the corresponding road tunnel self-owned fire-fighting facilities; determining a length risk weighting value of each highway tunnel according to the ratio of the number of fire-fighting and rescue evaluation points of each highway tunnel to the total number of all fire-fighting and rescue evaluation points in the area; determining the average time of each type of fire-fighting vehicle reaching a plurality of fire-fighting rescue requirement evaluation points of each highway tunnel; and sequentially determining the initial effectiveness degree of fire rescue, the weighted effectiveness degree of fire rescue and the quantitative evaluation value of fire rescue capability of each highway tunnel, and finally determining the fire rescue grade of the tunnel in the area according to the quantitative evaluation value of fire rescue capability. The invention aims to improve the accuracy of the highway tunnel fire rescue evaluation result.
Description
Technical Field
The invention relates to the technical field of expressway tunnel safety evaluation, in particular to a highway tunnel fire-fighting rescue capability evaluation method and system based on regional visual angles.
Background
Highway tunnels are engineering structures buried in an underground formation, a form of human use of underground space. Due to the long and narrow structure and the semi-closed structure of the highway tunnel, once a fire disaster occurs, the hazard is far greater than that of a general fire accident. When a fire disaster occurs in a tunnel, the fire station needs to configure corresponding fire-fighting vehicles and fire-fighting rescue workers according to the fire disaster scale and the tunnel type, and a single fire station generally cannot have all types of fire-fighting vehicles at the same time, so that the fire station needs to be called up from other fire stations, and the travel time of each type of fire-fighting vehicles reaching a fire-fighting rescue requirement evaluation point is inconsistent. The current general purpose is that a single fire-fighting and rescue requirement evaluation point is used for representing the position information of the whole building, and the running time and the running distance of the fire-fighting vehicle to the appointed building are approximately calculated, so that whether the whole building can be effectively covered by the fire-fighting service is judged. However, this method for evaluating the fire rescue capabilities of a highway tunnel has the following drawbacks: (1) The difference in time required for the fire-fighting vehicle to pass through both ends of the highway tunnel is large due to the long and narrow structure and the semi-closed structure of the highway tunnel. (2) Because on the expressway, the running vehicle is strictly forbidden to turn around or turn around, and in the double-hole type highway tunnel, the running time of the two-hole type highway tunnel reaching lanes in different running directions still has a large difference. (3) In the past, only the arrival time of the police from the fire station is considered, and whether the fire station has the type of fire-fighting vehicle required by the tunnel fire is not considered, so that the type of the required fire-fighting vehicle equipment is quantitatively evaluated.
The prior patent publication No. CN116596346A discloses a highway tunnel operation safety evaluation method, and the highway tunnel operation safety comprises evaluation of fire-fighting rescue timeliness, fire-fighting rescue force, fire-fighting equipment configuration and traffic control conditions, but the content of how data related to fire-fighting system safety are acquired and scored is not disclosed in detail, only the corresponding scoring value is disclosed, and effective adjustment of the highway tunnel according to actual fire-fighting rescue scenes cannot be realized, so that configuration optimization cannot be realized. Therefore, how to quantitatively evaluate the fire-fighting rescue capability of the highway tunnel so as to optimize the fire-fighting resource allocation of the highway tunnel.
Disclosure of Invention
The invention mainly aims to provide a highway tunnel fire-fighting and rescue capability assessment method and system based on a regional visual angle, and aims to solve the technical problem that the accuracy of the existing fire-fighting and rescue capability assessment method is low.
In order to achieve the above purpose, the invention provides a highway tunnel fire rescue capability assessment method based on regional visual angles, which comprises the following steps:
step 1, setting fire scene types of all highway tunnels in an area, and determining various fire-fighting vehicles and weight coefficients thereof required by corresponding fire scenes according to the fire scene types and corresponding highway tunnel self-contained fire-fighting facilities;
step 2, setting the number of fire-fighting and rescue evaluation points of each highway tunnel, acquiring corresponding positions of the fire-fighting and rescue evaluation points, and determining a length risk weighting value of each highway tunnel according to the ratio of the number of the fire-fighting and rescue evaluation points of each highway tunnel to the total number of all the fire-fighting and rescue evaluation points in the area;
step 3, determining the average time of each type of fire-fighting vehicle reaching a plurality of fire-fighting and rescue requirement evaluation points of each highway tunnel according to the positions of each fire-fighting and rescue evaluation point;
step 4, according to the average time of a plurality of firefighting rescue evaluation points of each highway tunnel and the preset response time R T Calculating the initial effectiveness of fire-fighting and rescue of each highway tunnel;
step 5, obtaining the fire-extinguishing rescue weighted effectiveness of each highway tunnel based on the tunnel length risk weighted value according to the fire-extinguishing rescue initial effectiveness of each highway tunnel and the corresponding length risk weighted value;
step 6, carrying out time weighted calculation according to the effectiveness degree of fire-fighting and rescue weighting of each highway tunnel to obtain fire-fighting and rescue capability quantitative evaluation values of all tunnels in the area;
and 7, determining the type of the fire-fighting rescue grade of the tunnel in the area according to the fire-fighting rescue capacity chemical evaluation values of all tunnels in the area and a preset fire-fighting grade range.
Optionally, before the step 1, the method further includes:
acquiring characteristic information of a highway tunnel in a target area, wherein the characteristic information comprises fire data, traffic flow, tunnel length and vehicle type proportion of the highway tunnel;
determining fire scene types and probability matrixes P of different vehicle types according to the fire frequency, the traffic flow, the tunnel length and the vehicle type proportion of the highway tunnel in the target area;
and acquiring fire station locations and fire vehicle provisioning information within the target area, the fire vehicle provisioning information including corresponding numbers of various types of fire vehicles.
Optionally, in step S1, the step of determining, according to the type of the fire scene and the own fire facilities of the tunnel, various fire-fighting vehicles and their weight coefficients required by the corresponding fire scene in each highway tunnel includes:
acquiring a matrix A of various fire-fighting vehicles required by different fire scene types in advance;
and multiplying the matrix A with the probability matrix P of occurrence of various fire scenes to obtain the matrix f of various fire-fighting vehicles required by each highway tunnel, namely f=A×P= [ f ] 1 f 2 ……f k ]；
And according to the demand probability f of various fire-fighting vehicles in each highway tunnel i Calculating the weight coefficient h of each type of fire-fighting vehicle required by each highway tunnel i The calculation formula is as follows:
fire-fighting vehicle types are numbered sequentially from 1 to k.
Optionally, in step 2, the step of obtaining the number of fire rescue evaluation points of each highway tunnel includes:
according to the actual length l of each highway tunnel j Sampling interval with fire rescue evaluation point aDetermining the number n of evaluation points of each highway tunnel by the distance r j The specific formula is as follows:
n j ＝[l j /r],l j < r; alternatively, n j ＝[l j /r]-1,l j ＞r，
Wherein j is the serial number of the highway tunnel, j is more than or equal to 1 and less than or equal to m, and the highway tunnels are numbered from 1 to m in sequence.
Optionally, in step 2, the step of obtaining the length risk weighted value of each highway tunnel according to the number of evaluation points of each highway tunnel and the total number of all evaluation points in the area includes: lambda (lambda) i ＝n i /N；
Wherein n is j For the number of evaluation points of each highway tunnel, lambda j And N is the total number of all evaluation points in the region and is the length risk weighting value.
Optionally, the step 3, determining an average time for each type of fire-fighting vehicle to reach a plurality of fire-fighting demand evaluation points of each highway tunnel according to the position of each fire-fighting evaluation point, includes:
determining a fire station for providing a fire vehicle in a corresponding fire scene and position information thereof according to the positions of all fire rescue evaluation points, fire vehicles required by the fire scene, the positions of the fire stations in a target area and fire vehicle outfit information;
and determining the comprehensive time for each type of fire-fighting vehicle in the fire station providing the fire-fighting vehicle to reach the corresponding fire-fighting rescue evaluation point according to the position of each fire-fighting rescue evaluation point of the highway tunnel corresponding to each fire scene, wherein the calculation formula is as follows:
wherein W is a,i To obtain the rescue travel time of the ith type of fire-fighting vehicle to the fire-fighting rescue evaluation point a, t a The comprehensive time for each type of fire-fighting vehicle to reach the fire-fighting rescue requirement evaluation point a; the method comprises the steps of carrying out a first treatment on the surface of the
According to the fire-fighting vehicle of various types reaching the fire-fighting rescue requirementThe integration time t of the evaluation point a a Averaging time S bT ,S bT The calculation formula of (2) is as follows:
optionally, step 4 is performed according to the average time of the plurality of firefighting rescue evaluation points of each highway tunnel and the preset response time R T The step of determining the initial effectiveness of fire rescue for each highway tunnel comprises the following steps:
when the average time S of the highway tunnel bT Less than or equal to R T When the fire-fighting rescue initial effectiveness of each highway tunnel is 1;
when the average time S of the highway tunnel bT Greater than R T When the fire-fighting rescue initial effectiveness of each highway tunnel is the preset response time R of the corresponding highway tunnel T Average time S with multiple fire rescue evaluation points of each highway tunnel bT The specific formula is as follows:
wherein ER is the initial effectiveness of fire-fighting rescue for each highway tunnel.
Optionally, step 5, according to the fire-fighting and rescue initial effectiveness ER of each highway tunnel and the corresponding length risk weighted value, obtains the fire-fighting and rescue weighted effectiveness of each highway tunnel based on the tunnel length risk weighted value, including:
multiplying the fire-fighting and rescue initial effectiveness ER of each highway tunnel with a corresponding length risk weighted value to obtain the fire-fighting and rescue weighted effectiveness of each highway tunnel based on the tunnel length risk weighted value, wherein the specific formula is as follows:
LER j ＝λ j ER j ；
wherein LER is j The effectiveness of fire rescue weighting for each highway tunnel based on the tunnel length risk weighting value is weighted.
Optionally, step 6, performing time weighted calculation according to the effectiveness of fire-fighting and rescue weights of each highway tunnel to obtain fire-fighting and rescue capability quantization evaluation values of all tunnels in the area, including:
acquiring the effectiveness of fire-fighting and rescue weighting of each highway tunnel at a time point t e Is the fire rescue effectiveness LER j,te ；
And obtains a time point t e Fire rescue effectiveness TER for all highway tunnels in the area of (a) te The specific formula is as follows:
TER te ＝LER 1,te +LER 2,te +......+LER m-1,te +LER m,te ；
wherein LER is m,te Based on the time point t e The effectiveness of firefighting rescue of the mth tunnel in the area;
according to the time point t e Fire rescue effectiveness TER for all highway tunnels in the area of (a) te And carrying out time weighting to obtain the fire-fighting rescue capability quantitative evaluation value TTER of all highway tunnels in the area, wherein the specific formula is as follows:
wherein t is q Represents the q-th time point.
In addition, the invention also provides a regional view-based highway tunnel fire-fighting and rescue capability assessment system, which comprises a memory, a processor and a regional view-based highway tunnel fire-fighting and rescue capability assessment program stored in the memory and capable of running on the processor, wherein the regional view-based highway tunnel fire-fighting and rescue capability assessment program realizes the steps of the regional view-based highway tunnel fire-fighting and rescue capability assessment method when being executed by the processor.
The beneficial effects are that:
the invention provides a highway tunnel fire-fighting rescue capability assessment method based on a regional visual angle. By arrangingFire scene types of all highway tunnels in the fixed area, and determining various types of fire-fighting vehicles and weight coefficients thereof required by corresponding fire scenes according to the fire scene types and corresponding highway tunnel self-owned fire-fighting facilities; setting the number of fire-fighting and rescue evaluation points of each highway tunnel, acquiring corresponding positions of the fire-fighting and rescue evaluation points, and determining a length risk weighting value of each highway tunnel according to the ratio of the number of the fire-fighting and rescue evaluation points of each highway tunnel to the total number of all the fire-fighting and rescue evaluation points in the area; determining the average time of each type of fire-fighting vehicle reaching a plurality of fire-fighting demand evaluation points of each highway tunnel according to the positions of each fire-fighting evaluation point; according to the average time of a plurality of firefighting rescue evaluation points of each highway tunnel and the preset response time R T Determining the initial effectiveness of fire-fighting rescue of each highway tunnel; according to the initial effectiveness degree of fire-fighting and rescue of each highway tunnel and the corresponding length risk weighting value, obtaining the weighted effectiveness degree of fire-fighting and rescue of each highway tunnel based on the tunnel length risk weighting value; performing time weighted calculation according to the effectiveness degree of the fire-fighting rescue weights of all highway tunnels to obtain quantitative assessment values of fire-fighting rescue capacities of all tunnels in the area; and determining the class type of the fire-fighting rescue capability of the tunnel in the area according to the fire-fighting rescue capability quantitative evaluation values of all tunnels in the area and a preset fire-fighting class range. The method overcomes the defect that only a single fire-fighting and rescue requirement evaluation point is used for representing the position information of the highway tunnel, is more close to the scene of actual fire-fighting and rescue, can evaluate the fire-fighting and rescue capability of the highway tunnel efficiently and accurately, solves the difficult problem of quantifying the fire-fighting and rescue capability of the highway tunnel, and improves the accuracy of evaluation results.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of a highway tunnel fire rescue capability assessment method based on regional visual angles;
fig. 2 is a schematic diagram of fire rescue evaluation point collection in a highway tunnel according to the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention. The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Referring to fig. 1, a schematic flow chart of a first embodiment is provided for a highway tunnel fire rescue capability assessment method based on regional viewing angle, the method includes:
step 1, setting fire scene types of all highway tunnels in an area, and determining various types of fire-fighting vehicles and weight coefficients thereof required by corresponding fire scenes according to the fire scene types and corresponding highway tunnel self-contained fire-fighting facilities.
Specifically, the fire scene type of each road tunnel in the area may be set according to the vehicle type characteristics, the vehicle flow characteristics and/or the historical fire data of each road tunnel in the area, and for a part of tunnels with less fire data, the fire scene that may occur may be set according to the vehicle type through which the tunnel passes, for example, whether or not the tunnel has a tank truck or a truck transporting dangerous chemicals. Before step 1, the information such as the position, the length, the single hole, the double holes and the like of the highway tunnel in each city of the target province is searched through network maps such as hundred degrees, germany, tengxin and the like, and the fire protection equipment information, the traffic flow, the vehicle type proportion and the fire disaster data of the highway tunnel of the tunnel can be obtained through on-site investigation and access to the tunnel operation units and the transportation departments. And finally determining the fire scene types and probability matrixes P of different vehicle types according to the acquired information. And retrieving the position information of the target province fire station by accessing the fire-fighting related departments and the network map, and collecting the types and the quantity of fire-fighting vehicles equipped by the fire-fighting station. In general, assuming that the probabilities of occurrence of fire scenes 1, 2, 3, 4, … …, s are P1, P2, P3, P4, …, ps in order, the probability matrix of occurrence of various fire scenes is p= { P1, P2, P3, P4, …, ps }.
When a fire disaster occurs in the tunnel, the fire station needs to configure corresponding fire-fighting vehicles and fire-fighting rescue workers according to the fire disaster scale and the tunnel type, and the corresponding fire-fighting workers are generally configured on the basis of the fire-fighting vehicles, so that in the embodiment, the fire-fighting rescue capability is represented only by the response time of the fire-fighting vehicles.
Furthermore, a set A of various types of fire-fighting vehicles required by different fire scene types can be obtained in advance; for example, if fire-fighting vehicle 1 is b 1 Fire-fighting vehicle type 2 b 2 … …, kth fire-fighting vehicle b k The matrix that needs various types of fire vehicles in s fire scenarios is:
wherein the fire-fighting vehicle types are numbered sequentially from 1 to k, and b ks The value of 0 or 1,0 indicating that the kth type of fire vehicle is not required in the fire scene s, and 1 indicating that the kth type of fire vehicle is required in the fire scene s. For example, for a vehicle transporting substances such as alcohol, gasoline, cooking oil and oily paint, banana water, etc., a fire disaster cannot be extinguished by a water tank fire truck because the specific gravity of these solvents is smaller than that of water, and after watering, the water cannot cover them but rapidly runs under them, thus not playing a role in isolating oxygen, and at this time, a foam fire truck is required. And aiming at the fire disaster of vehicles transporting chemicals such as potassium, sodium, magnesium and the like, the fire truck cannot be used for extinguishing the fire truck, and the chemicals can react with water to promote the water potential to burn more. Combustible gases may also be generated, increasing the risk of explosion. In this case, a foam fire engine or a dry powder fire engine is selected, and the foam has a light specific gravity and can cover the surfaces of the foam fire engine or the dry powder fire engine to play an effective flame-retardant role.
Further, the probability f of each type of fire-fighting vehicle required in each highway tunnel, i.e., f=a×p, is obtained by multiplying the matrix a by the probability matrix P of each fire scene occurrence, and the specific matrix calculation formula is shown in the following formula.
And calculate the weight system of each type of fire-fighting vehicles needed by each highway tunnel according to the probability f of the demand of each type of fire-fighting vehicles in each highway tunnelNumber h i The calculation formula is as follows:
wherein i is more than or equal to 1 and k is more than or equal to k.
And 2, setting the number of fire-fighting and rescue evaluation points of each highway tunnel, acquiring corresponding positions of the fire-fighting and rescue evaluation points, and determining the length risk weighting value of each highway tunnel according to the ratio of the number of the fire-fighting and rescue evaluation points of each highway tunnel to the total number of all the fire-fighting and rescue evaluation points in the area.
Specifically, the step of setting the number of fire rescue evaluation points of each highway tunnel includes:
according to the actual length l of each highway tunnel j Determining the number n of evaluation points of each highway tunnel by the sampling interval distance r between the road tunnel and the firefighting rescue evaluation point a j I.e. the actual length l j Dividing the sampling interval distance r with the fire rescue evaluation point a and taking an integer.
Wherein, the actual length of the highway tunnel is smaller than or equal to the sampling interval distance r, and the number n of the acquired evaluation points of the highway tunnel j The following formula is used:
n j ＝[l j /r],l j < r; in general, the number n of evaluation points of the road tunnel set in such a case j 1.
Meanwhile, aiming at the fact that the actual length of the highway tunnel is larger than the sampling interval distance r, the following formula is adopted: :
n j ＝[l j /r]-1,l j ＞r；
j is the serial number of the highway tunnel, j is more than or equal to 1 and less than or equal to m, and the highway tunnels are numbered from 1 to m in sequence. And the sampling interval distance r can be determined according to the fire service coverage distance of a single fire truck, and a specific evaluation point acquisition schematic diagram is shown in fig. 2.
Furthermore, the step of obtaining the length risk weighting value of each highway tunnel according to the number of the evaluation points of each highway tunnel and the total number of all the evaluation points in the area includes: lambda (lambda) i ＝n i /N；
Wherein n is j For the number of evaluation points of each highway tunnel, lambda j And N is the total number of all evaluation points in the region and is the length risk weighting value.
And 3, determining the average time of each type of fire-fighting vehicle reaching a plurality of fire-fighting and rescue requirement evaluation points of each highway tunnel according to the positions of each fire-fighting and rescue evaluation point.
Specifically, according to the position of each fire-fighting and rescue evaluation point obtained in the step 2 and the fire-fighting vehicles required by the fire scene determined in the step 1, further determining the fire-fighting stations providing the fire-fighting vehicles and the position information thereof, so as to determine the comprehensive time for each type of fire-fighting vehicle of each fire-fighting station to reach the corresponding fire-fighting and rescue evaluation point. For example, the rescue travel time for each type of fire truck to reach the fire rescue evaluation point a is as follows:
type 1 fire vehicle b 1 The rescue running time reaching the fire rescue evaluation point a is W a,1 ，
Type 2 fire vehicle b 2 The rescue running time reaching the fire rescue evaluation point a is W a,2 ，
Type 3 fire vehicle b 3 The rescue running time reaching the fire rescue evaluation point a is W a,3 ，
Type 4 fire vehicle b 4 The rescue running time reaching the fire rescue evaluation point a is W a,4 ，
……
K type fire truck b k The rescue running time reaching the fire rescue evaluation point a is W a,k 。
Further, the total time t a The calculation formula of (2) is as follows:
according to the comprehensive time t of various types of fire-fighting vehicles reaching the fire-fighting rescue requirement evaluation point a a Averaging time S bT ,S bT The calculation formula of (2) is as follows:
step 4, according to the average time of a plurality of firefighting rescue evaluation points of each highway tunnel and the preset response time R T And determining the initial effectiveness of fire rescue of each highway tunnel. Specifically, in order to facilitate scientific assessment of the effectiveness of firefighting rescue of a highway tunnel, an initial effectiveness index is employed for analysis, and a response time target value R is preset T Further, the specific step of the step 4 includes:
when the average time S of the highway tunnel bT Less than or equal to R T When the fire-fighting rescue initial effectiveness of each highway tunnel is 1;
when the average time S of the highway tunnel bT Greater than R T When the fire-fighting rescue initial effectiveness of each highway tunnel is the preset response time R of the corresponding highway tunnel T Average time S with multiple fire rescue evaluation points of each highway tunnel bT The specific formula is as follows:
wherein ER is the initial effectiveness of fire-fighting rescue for each highway tunnel. In general, a response time value R is set in a highway tunnel T Real-time travel time and distance can be calculated through an Application Programming Interface (API) of the hundred-degree map, and 90% of the travel time calculated by calling the hundred-degree map API is taken as the travel time of the fire truck according to the attribute that the fire truck is not limited by traffic rules.
Step 5, obtaining the fire-extinguishing rescue weighted effectiveness of each highway tunnel based on the tunnel length risk weighted value according to the fire-extinguishing rescue initial effectiveness of each highway tunnel and the corresponding length risk weighted value; specifically, the fire-fighting and rescue weighted effectiveness degree of each highway tunnel based on the tunnel length risk weighted value is obtained by multiplying the fire-fighting and rescue initial effectiveness degree ER of each highway tunnel with the corresponding length risk weighted value, and the specific formula is as follows:
LER j ＝λ j ER j ；
wherein LER is j The effectiveness of fire rescue weighting for each highway tunnel based on the tunnel length risk weighting value is weighted.
Further, as road traffic conditions are continuously changed, LER of the road tunnel j Dynamically changing along with time, and further, step 6, performing time weighted calculation according to the effectiveness degree of fire-fighting and rescue weights of all highway tunnels to obtain fire-fighting and rescue capability quantitative evaluation values of all tunnels in the area, wherein the step comprises the following steps:
acquiring the effectiveness of fire-fighting and rescue weighting of each highway tunnel at a time point t e Is the fire rescue effectiveness LER j,te ；
And obtains a time point t e Fire rescue effectiveness TER for all highway tunnels in the area of (a) te The specific formula is as follows:
TER te ＝LER 1,te +LER 2,te +......+LER m-1,te +LER m,te ；
wherein LER is m,te Based on the time point t e The effectiveness of firefighting rescue of the mth tunnel in the area; generally, due to TER te The fire-fighting rescue capability level of the regional highway tunnel is continuously changed along with the time, and the decision maker is difficult to judge the fire-fighting rescue capability level of the regional highway tunnel in a total way due to the difference of TER at different moments, so that the time point corresponding to the q-th estimated scene is t by setting q estimated time points q And carrying out time weighted calculation on TER at different estimated time points to obtain regional highway tunnel fire-fighting and rescue capability quantization evaluation value TTER, wherein the specific formula is as follows:
wherein t is q Represents the q-th time point.
Further, step 7, determining the class type of the fire-fighting rescue capability of the tunnel in the area according to the fire-fighting rescue capability chemical evaluation values of all tunnels in the area and the preset fire-fighting class range. Specifically, the overall fire-fighting capability of the regional tunnel can be evaluated by the calculated fire-fighting capability-quantization evaluation value TTER of all highway tunnels in the region. Wherein, the higher TTER value indicates the better overall fire rescue capability of the tunnel in the area. Similarly, TTER can also be classified into four classes to evaluate the overall fire rescue capabilities of regional highway tunnels, see Table 1.
Table 1 regional highway tunnel fire rescue grading
Further, as can be seen from table 1, the class type of the fire rescue capability of the tunnel in the area can be effectively determined according to the interval range to which the fire rescue capability quantization evaluation value TTER belongs.
In addition, the invention also provides a regional view-based highway tunnel fire-fighting and rescue capability assessment system, which comprises a memory, a processor and a regional view-based highway tunnel fire-fighting and rescue capability assessment program stored in the memory and capable of running on the processor, wherein the regional view-based highway tunnel fire-fighting and rescue capability assessment program realizes the steps of the regional view-based highway tunnel fire-fighting and rescue capability assessment method when being executed by the processor.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. The highway tunnel fire rescue capability assessment method based on the regional visual angle is characterized by comprising the following steps of:
step 1, setting fire scene types of all highway tunnels in an area, and determining various fire-fighting vehicles and weight coefficients thereof required by corresponding fire scenes according to the fire scene types and corresponding highway tunnel self-contained fire-fighting facilities;
step 2, setting the number of fire-fighting and rescue evaluation points of each highway tunnel, acquiring corresponding positions of the fire-fighting and rescue evaluation points, and determining a length risk weighting value of each highway tunnel according to the ratio of the number of the fire-fighting and rescue evaluation points of each highway tunnel to the total number of all the fire-fighting and rescue evaluation points in the area;
step 3, determining the average time of each type of fire-fighting vehicle reaching a plurality of fire-fighting and rescue requirement evaluation points of each highway tunnel according to the positions of each fire-fighting and rescue evaluation point;
step 4, according to the average time of a plurality of firefighting rescue evaluation points of each highway tunnel and the preset response time R T Calculating the initial effectiveness of fire-fighting and rescue of each highway tunnel;
step 5, obtaining the fire-extinguishing rescue weighted effectiveness of each highway tunnel based on the tunnel length risk weighted value according to the fire-extinguishing rescue initial effectiveness of each highway tunnel and the corresponding length risk weighted value;
step 6, carrying out time weighted calculation according to the effectiveness degree of fire-fighting and rescue weighting of each highway tunnel to obtain fire-fighting and rescue capability quantitative evaluation values of all tunnels in the area;
and 7, determining the type of the fire-fighting rescue grade of the tunnel in the area according to the fire-fighting rescue capacity chemical evaluation values of the fire-fighting rescue of all tunnels in the area and a preset fire-fighting grade range.
2. The regional view based highway tunnel fire rescue capability assessment method according to claim 1, further comprising, prior to said step 1:
acquiring characteristic information of a highway tunnel in a target area, wherein the characteristic information comprises fire data, traffic flow, tunnel length and vehicle type proportion of the highway tunnel;
determining fire scene types and probability matrixes P of different vehicle types according to highway tunnel fire data, traffic flow, tunnel length and vehicle type proportion in a target area;
and acquiring fire station locations and fire vehicle provisioning information within the target area, the fire vehicle provisioning information including corresponding numbers of various types of fire vehicles.
3. The regional view-based highway tunnel fire rescue capability assessment method according to claim 2, wherein in step S1, the step of determining various types of fire-fighting vehicles and their weight coefficients required for each highway tunnel for the corresponding fire scene according to the fire scene type and the own fire-fighting facilities of the tunnel comprises:
acquiring a matrix A of various fire-fighting vehicles required by different fire scene types in advance;
multiplying the matrix A with the probability matrix P of fire scene occurrence to obtain probability matrix f of fire-fighting vehicles of various types required in each highway tunnel, i.e. f=A×P= [ f ] 1 f 2 ……f k ]；
And according to the demand probability f of various fire-fighting vehicles in each highway tunnel i Calculating the weight coefficient h of each type of fire-fighting vehicle required by each highway tunnel i The calculation formula is as follows:
fire-fighting vehicle types are numbered sequentially from 1 to k.
4. The regional view-based highway tunnel fire rescue capability assessment method according to claim 3, wherein in step 2, the step of obtaining the number of fire rescue assessment points for each highway tunnel comprises:
according to the actual length l of each highway tunnel j Determining the number n of evaluation points of each highway tunnel by the sampling interval distance r between the road tunnel and the firefighting rescue evaluation point a j The specific formula is as follows:
n j ＝[l j /r],l j < r; alternatively, n j ＝[l j /r]-1,l j ＞r，
Wherein j is the serial number of the highway tunnel, j is more than or equal to 1 and less than or equal to m, and the highway tunnels are numbered from 1 to m in sequence.
5. The regional view-based highway tunnel fire rescue capability assessment method according to claim 4, wherein in step 2, the step of obtaining the length risk weighting value of each highway tunnel according to the number of assessment points of each highway tunnel and the total number of all assessment points in the region comprises the following steps:
λ i ＝n i /N；
wherein n is j For the number of evaluation points of each highway tunnel, lambda j And N is the total number of all evaluation points in the region and is the length risk weighting value.
6. The regional view-based highway tunnel fire rescue capability assessment method according to claim 5, wherein the step 3 of determining the average time for each type of fire-fighting vehicle to reach a plurality of fire-rescue requirement assessment points of each highway tunnel according to the location of each fire-rescue assessment point comprises:
determining a fire station for providing a fire vehicle in a corresponding fire scene and position information thereof according to the positions of all fire rescue evaluation points, fire vehicles required by the fire scene, the positions of the fire stations in a target area and fire vehicle outfit information;
and determining the comprehensive time for each type of fire-fighting vehicle in the fire station providing the fire-fighting vehicle to reach the corresponding fire-fighting rescue evaluation point according to the position of each fire-fighting rescue evaluation point of the highway tunnel corresponding to each fire scene, wherein the calculation formula is as follows:
wherein W is a,i To obtain the rescue travel time of the ith type of fire-fighting vehicle to the fire-fighting rescue evaluation point a, t a The comprehensive time for each type of fire-fighting vehicle to reach the fire-fighting rescue requirement evaluation point a;
according to the comprehensive time t of various types of fire-fighting vehicles reaching the fire-fighting rescue requirement evaluation point a a Averaging time S bT ，S bT The calculation formula of (2) is as follows:
7. the regional view-based highway tunnel fire rescue capability assessment method according to claim 6, wherein step 4 is performed according to the average time of a plurality of fire rescue assessment points of each highway tunnel and a preset response time R T The step of determining the initial effectiveness of fire rescue for each highway tunnel comprises the following steps:
when the average time S of the highway tunnel bT Less than or equal to R T When the fire-fighting rescue initial effectiveness of each highway tunnel is 1;
when the average time S of the highway tunnel bT Greater than R T When the fire-fighting rescue initial effectiveness of each highway tunnel is the preset response time R of the corresponding highway tunnel T Average time S with multiple fire rescue evaluation points of each highway tunnel bT The specific formula is as follows:
wherein ER is the initial effectiveness of fire-fighting rescue for each highway tunnel.
8. The regional view-based highway tunnel fire rescue capability assessment method according to claim 7, wherein the step 5 of obtaining the fire rescue weighted effectiveness of each highway tunnel based on the tunnel length risk weighted value according to the fire rescue initial effectiveness ER of each highway tunnel and the corresponding length risk weighted value comprises:
multiplying the fire-fighting and rescue initial effectiveness ER of each highway tunnel with a corresponding length risk weighted value to obtain the fire-fighting and rescue weighted effectiveness of each highway tunnel based on the tunnel length risk weighted value, wherein the specific formula is as follows:
LER j ＝λ j ER j ；
wherein LER is j The effectiveness of fire rescue weighting for each highway tunnel based on the tunnel length risk weighting value is weighted.
9. The method for evaluating the fire-fighting rescue capabilities of highway tunnels based on regional visual angles according to claim 8, wherein the step 6 of performing time weighted calculation according to the fire-fighting rescue weighted effectiveness of each highway tunnel to obtain the fire-fighting rescue capability quantization evaluation values of all tunnels in the region comprises the following steps:
acquiring the effectiveness of fire-fighting and rescue weighting of each highway tunnel at a time point t e Is the fire rescue effectiveness LER j,te ；
And obtains a time point t e Fire rescue effectiveness TER for all highway tunnels in the area of (a) te The specific formula is as follows:
TER te ＝LER 1,te +LER 2,te +......+LER m-1,te +LER m,te ；
wherein LER is m,te Based on the time point t e Within the region of (2)The effectiveness of firefighting rescue of the mth tunnel;
according to the time point t e Fire rescue effectiveness TER for all highway tunnels in the area of (a) te The method comprises the steps of carrying out time weighting to obtain fire-fighting rescue capability quantitative evaluation values TTER of fire-fighting rescue of all highway tunnels in an area, wherein the specific formula is as follows:
wherein t is q Represents the q-th time point.
10. A regional view based highway tunnel fire rescue capability assessment system comprising a memory, a processor and a regional view based highway tunnel fire rescue capability assessment program stored on the memory and executable on the processor, the regional view based highway tunnel fire rescue capability assessment program when executed by the processor implementing the steps of the regional view based highway tunnel fire rescue capability assessment method according to any one of claims 1 to 9.
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