CN117634712B - Urban gas emergency rescue guard point optimization layout method - Google Patents
Urban gas emergency rescue guard point optimization layout method Download PDFInfo
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Abstract
The invention belongs to the technical field of data processing, and provides an optimization layout method for urban fuel gas emergency rescue guard points, which comprises the following steps: first, aggregate coverage area partitioning: calculating the number of the on-duty points and the coverage area; secondly, the gate keeper optimizes the site selection: calculating the total distance between the guard point and the rescue hotspot area; and then, carrying out adaptability evaluation on the point-of-care engineering: and sorting the alternative guard points according to the hierarchical analysis method and the good-bad solution distance method to obtain an optimized layout scheme of the guard points. The invention can fully ensure that under the requirement of emergency response time, emergency personnel at the urban gas emergency rescue gate can quickly reach the gas accident site to carry out accident pre-treatment, thereby improving the rescue efficiency of gas companies and reducing casualties and economic losses caused by sudden gas accidents.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an optimization layout method for urban fuel gas emergency rescue attendant points.
Background
In recent years, the demand of gas is increased year by year, gas pipelines are still being continuously expanded, and accidents such as urban gas pipeline leakage, fire and explosion frequently occur, so that the urban gas pipeline leakage, fire and explosion frequently become a serious threat to public safety. Such sudden public safety events require emergency decision-making departments to deliver the manpower and materials required in the emergency disposal process to the accident area in a short time. Based on the condition of a pipeline natural gas company, the urban gas emergency rescue attendant point is mainly used for storing various emergency materials at the site of a common accident, and when a gas accident occurs, gas pipeline rescue personnel can arrive at the site for the first time, so that the site risk is controlled, and secondary disasters are prevented. The reasonable urban gas emergency rescue gate layout can reduce the transportation cost and ensure the high efficiency of emergency material supply and rescue personnel control dangerous situations.
Therefore, how to determine the optimal layout scheme of the guard points directly relates to the rescue efficiency of the pipeline natural gas company when the gas pipeline has accidents.
Disclosure of Invention
The invention aims to provide an optimal layout method for urban gas emergency rescue guard points, which can timely determine an optimal layout scheme of the guard points and improve rescue efficiency of a pipeline natural gas company when a gas pipeline is in an accident.
The invention solves the technical problems and adopts the following technical scheme:
an optimization layout method for urban gas emergency rescue guard points comprises the following steps:
aggregate coverage area partitioning: calculating the number of the on-duty points and the coverage area;
gate keeper optimizing addressing: calculating the total distance between the guard point and the rescue hotspot area;
and (3) evaluation of adaptability of the point-of-care engineering: and sorting the alternative guard points according to the hierarchical analysis method and the good-bad solution distance method to obtain an optimized layout scheme of the guard points.
As a further optimization, the aggregate coverage area division comprises the steps of:
calculating the number of the on-duty points;
coverage area adjustment;
checking the first-order rescue response time length.
As a further optimization, the calculation of the number of the attended points comprises the following steps:
selecting a gas inlet point, a branch point and a tail end point of a gas pipeline as characteristic nodes;
establishing a set coverage model, and setting a coverage radius to calculate the number of on-duty points, wherein the formula is as follows:
wherein:x j for being selected as the center of the coverage area of the attended point, if selected, it is 1, if not selected, it is 0,j∈E，E={1,2,3,…,nis the set of core points in the candidate attended point coverage area,i∈D，D={1,2,3,…,mand is a set of feature nodes,to be covered with characteristic nodesiCenter point in gatekeeper point coverage areajIs a set of (a) and (b),Mis the maximum distance allowed between the feature node and the center of the coverage area of the attendant point, i.e., the coverage radius.
As a further optimization, the coverage area adjustment is based on the following principle:
response timeliness principle: characteristic nodes of the intersected coverage area are distributed to one side close to the center of the coverage area;
workload balancing principle: characteristic nodes of the intersecting coverage areas are assigned to coverage areas that cover a smaller number of characteristic nodes.
As further optimization, the checking of the first-order rescue response time length refers to:
and judging whether the rescue response travel time meets the requirement or not by taking the center of the coverage area of the guard point as a starting point and the characteristic nodes of the boundary of the coverage area of the guard point as an ending point, if so, determining the number of the guard points and the coverage area, performing the optimization and site selection calculation of the guard point, otherwise, adjusting the coverage radius to calculate again until the first-order rescue response time length check meets the requirement.
As a further optimization, the site selection optimization method comprises the following steps:
calculating the total distance between the guard point and the rescue hotspot area;
and checking the second-order rescue response time length.
As further optimization, the calculation of the total distance between the guard point and the rescue hot spot area comprises the following steps:
historical rescue data and potential risk hidden danger point data are extracted to be used as rescue hot spot area data;
based on the rescue hot spot area data in the coverage area, a single-target distance optimization function is established, theoretical on-duty points are solved, and the formula is as follows:
wherein:F 1 for the total distance between the theoretical point of care and the historical rescue point,F 2 the total distance between the theoretical guard point and the potential risk hidden danger point;
wherein:
wherein: (x t ,y t ) Is the theoretical point Gaussian plane coordinate, and is characterized by thatc k ,d k ) For the gaussian plane coordinates of the historical rescue points,k={1,2,…,pand the } is a historical emergency point set, and the #e l ,f l ) As the gaussian plane coordinates of the potential risk potential points,l={1,2,…,qis a set of potential risk hidden danger points }, is #a u ,b u ) Gaussian plane coordinates of characteristic nodes in a theoretical guard point coverage area,u={1,2,…,eand is a set of feature nodes within a theoretical gatekeeper point coverage area, a radius constraint is covered for the set,values solved for aggregate coverage modelThe emergency time of the guard point meets the coverage radius.
As further optimization, the second-order rescue response time length check means:
and judging whether the rescue response travel time meets the requirements or not by taking a theoretical guard point as a starting point and a characteristic node of a boundary of a coverage area of the theoretical guard point as an end point, if so, determining the position of the theoretical guard point, carrying out evaluation calculation on the adaptability of the guard point engineering, otherwise, adjusting the coverage radius to calculate again until the second-order rescue response time length check meets the requirements.
As further optimization, the evaluation of the engineering adaptability of the unattended point comprises the following steps:
evaluating the applicability of the alternative guard point engineering;
and checking the third-order rescue response time length.
As a further optimization, the evaluation of the applicability of the alternative point-of-care engineering comprises the following steps:
establishing an on-duty point engineering adaptability evaluation index system based on safety, accessibility, guarantee distance, economic principle and communication signals;
determining the index weight of each bottom layer in the adaptability evaluation index system of the guard point engineering based on an analytic hierarchy process;
checking whether the existing guard point or customer service center near the theoretical guard point meets the requirement of the specified rescue response time length, if so, taking the theoretical guard point as a center, taking the relaxation distance as a radius, determining the relaxation range, and screening the alternative guard point;
and evaluating the applicability of the alternative guard point engineering by using a good and bad solution distance method, and preferentially selecting the alternative guard point as an actual guard point.
The beneficial effects of the invention are as follows: according to the urban gas emergency rescue attendant point optimizing layout method, firstly, the aggregate coverage area is divided, reasonable resource allocation can be achieved, economic cost is reduced, secondly, the attendant point optimizing site selection is conducted, accident handling personnel can quickly reach the rescue hotspot area, finally, the attendant point engineering adaptability evaluation is conducted, and the alternative attendant points are ordered in good and bad mode based on the analytic hierarchy process and the good and bad solution distance method, so that an optimized layout scheme of the attendant points is obtained. Therefore, under the requirement of emergency response time, urban gas emergency rescue gate personnel can be guaranteed to quickly reach a gas accident site to carry out accident pre-treatment, the rescue efficiency of a gas company is improved, and casualties and economic losses caused by sudden gas accidents are reduced.
Drawings
FIG. 1 is a flow chart of an optimization layout method for urban fuel gas emergency rescue attendant points in the embodiment 1 of the invention;
FIG. 2 is a schematic overall flow chart of an optimization layout method for urban fuel gas emergency rescue attendant points in the embodiment 1 of the present invention in specific applications;
FIG. 3 is a distribution of characteristic nodes of a gas company in a certain area in embodiment 2 of the present invention;
fig. 4 is a coverage area of an on-duty point obtained by solving the set coverage in embodiment 2 of the present invention;
FIG. 5 is a distribution of theoretical guard points in embodiment 2 of the present invention;
FIG. 6 is an alternative distribution of points of care in embodiment 2 of the present invention;
fig. 7 is a distribution of actual points of care of a certain area in embodiment 2 of the present invention.
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.
Example 1
The embodiment provides an optimization layout method for urban fuel gas emergency rescue attendant points, the flow chart of which is shown in fig. 1 and 2, wherein the method comprises the following steps:
aggregate coverage area partitioning: calculating the number of the on-duty points and the coverage area;
gate keeper optimizing addressing: calculating the total distance between the guard point and the rescue hotspot area;
and (3) evaluation of adaptability of the point-of-care engineering: and sorting the alternative guard points according to the hierarchical analysis method and the good-bad solution distance method to obtain an optimized layout scheme of the guard points.
In the above method, the step of dividing the aggregate coverage area specifically includes:
s1: calculating the number of the on-duty points;
s2: coverage area adjustment;
s3: checking the first-order rescue response time length.
The step s1 of calculating the number of the attended points includes:
s11: selecting a gas inlet point, a branch point and a tail end point of a gas pipeline as characteristic nodes;
s12: establishing a set coverage model, and setting a coverage radius to calculate the number of on-duty points, wherein the formula is as follows:
wherein:x j for being selected as the center of the coverage area of the attended point, if selected, it is 1, if not selected, it is 0,j∈E，E={1,2,3,…,nis the set of core points in the candidate attended point coverage area,i∈D，D={1,2,3,…,mand is a set of feature nodes,to be covered with characteristic nodesiCenter point in gatekeeper point coverage areajIs a collection of (3);Mis the maximum distance allowed between the feature node and the center of the coverage area of the attendant point, i.e., the coverage radius.
The coverage area adjustment step s2 is:
in order to ensure reasonable coverage area of the guard point, coverage area adjustment needs to be performed on the basis of the set coverage calculation result, and the principle is as follows:
1) Response timeliness: characteristic nodes of the intersected coverage area are distributed to one side close to the center of the coverage area;
2) Workload balance: characteristic nodes of the intersecting coverage areas are assigned to coverage areas that cover a smaller number of characteristic nodes.
The first-order rescue response time length checking step s3 is as follows:
taking the center of the coverage area of the guard point as a starting point, taking the boundary of the coverage area of the guard point or a characteristic node of inconvenient road traffic as an ending point, and judging whether the rescue response travel time meets the requirement; if yes, determining the number of the guard points and the coverage area, and performing the optimized site selection calculation of the guard points; otherwise, the coverage radius is adjusted to be calculated again until the first-order emergency response time length check meets the requirement.
The method for optimizing the site selection of the guard point comprises the following steps:
m1: calculating the total distance between the guard point and the rescue hotspot area;
m2: and checking the second-order rescue response time length.
The step m1 of calculating the total distance between the guard point and the rescue hotspot area includes:
m11: historical rescue data and potential risk hidden danger point data are extracted to be used as rescue hot spot area data;
m12: based on the rescue hot spot area data in the coverage area, a single-target distance optimization function is established, theoretical on-duty points are solved, and the formula is as follows:
wherein:F 1 the total distance between the theoretical guard point and the historical rescue point;F 2 is the total distance between the theoretical guard point and the potential risk hidden danger point.
Wherein:
wherein: (x t ,y t ) The plane coordinates are theoretical guard points Gaussian plane coordinates; (c k ,d k ) For the gaussian plane coordinates of the historical rescue points,k={1,2,…,pa set of historical rescue points; (e l ,f l ) As the gaussian plane coordinates of the potential risk potential points,l={1,2,…,qa set of potential risk hidden danger points; (a u ,b u ) Gaussian plane coordinates of characteristic nodes in a theoretical guard point coverage area,u={1,2,…,ea characteristic node set in a theoretical guard point coverage area; to cover the radius constraint for the collection,the coverage radius which meets the requirements of the emergency time of the on-duty point and is solved for the aggregate coverage model is used as a constraint condition in the single objective function.
The second-order rescue response time length checking step m2 is as follows:
taking a theoretical guard point as a starting point, taking a boundary of a coverage area of the theoretical guard point or a characteristic node of inconvenient road traffic as an end point, and judging whether the rescue response travel time meets the requirement; if yes, determining the position of a theoretical guard point, and performing guard point engineering adaptability evaluation calculation; otherwise, the coverage radius is adjusted to be calculated again until the second-order rescue response time length check meets the requirement.
The method for evaluating the adaptability of the point-of-care engineering comprises the following steps:
n1: evaluating the applicability of the alternative guard point engineering;
n2: and checking the third-order rescue response time length.
Wherein, the candidate point-of-care engineering suitability evaluation n1 includes:
n11: establishing an on-duty point engineering adaptability evaluation index system based on safety, accessibility, guarantee distance, economic principle and communication signals;
the safety principle is as follows: the guard point is an important guarantee for realizing maintenance guarantee capability in the urgent maintenance task, so that the site selection safety cannot be neglected, the natural environment is considered, and the site selection position cannot be an area which is easy to generate natural disasters such as earthquake, flood and the like;
the accessibility principle: the gate keeper site selection position should be located at a place with traffic convenience as much as possible so as to ensure that maintenance resources can be delivered to a destination as soon as possible;
the guarantee distance is as follows: the accident response time of the personnel at the guard point meets the requirement, and the guarantee distance meets the accident response time;
the economy principle: the construction cost of the guard point and the annual operation/lease cost are reduced as much as possible;
the communication signal: in order to enable the on-duty point staff to timely receive the gas accident alarm for accident handling rescue, the on-duty site selection point needs to ensure that good communication conditions are met.
n12: determining the index weight of each bottom layer in the adaptability evaluation index system of the guard point engineering based on an analytic hierarchy process;
n13: checking whether the existing on-duty point or customer service center near the theoretical on-duty point meets the requirement of the specified rescue response time length; if yes, the actual point is used as an actual on-duty point; otherwise, taking the theoretical guard point as the center, taking the relaxation distance as the radius, determining the relaxation range, and screening the alternative guard points;
n14: the method for solving the distances of the advantages and the disadvantages carries out the suitability evaluation of the project of the alternative guard point, and the alternative guard point is preferably selected as the actual guard point, and the method specifically comprises the following steps:
n141: and (5) establishing an initial judgment matrix.
Is provided withvThe individual samples form a sample setThe evaluation index of each sample constitutes a sample index setIndex->(wherein,g={1,2,…,v}，h={1,2,…,z}) represents the firstgSample numberhAnd (5) evaluating indexes. The initial evaluation matrix established accordingly is as follows:
n142: and establishing a standardized decision matrix.
The index types can be divided into benefit type index and cost type index, so that the index types can be uniformly converted into benefit type index to obtain a judgment matrix for the convenience of evaluation and calculation. Because of the difference of the dimensions of different indexes, the judgment matrix is required to be added>Dimensionless processing is performed to form a standardized decision matrix:
wherein:is->Values after dimensionless treatment.
n143: and (5) establishing a weighted standardized decision matrix.
Because the indexes in the index layer have different weights in the sample scheme evaluation result. Each column of the standardized decision matrix B is multiplied by the corresponding weight of each index in the index layer to obtain a weighted standardized decision matrix C:
n144: and calculating the sample closeness.
The paste progress reflects the degree of each index of the sample approaching to the optimal solution, and in the calculation of the closeness, the positive ideal solution and the negative ideal solution should be calculated at first, and the calculation formula is as follows:
wherein:，/>positive and negative ideal solutions respectively.
The distance calculation formula between the sample index and the ideal solution is as follows:
wherein:，/>the distances between the sample indexes and positive and negative ideal solutions are respectively; />，/>Respectively is ideal solution，/>The corresponding element value.
The formula for calculating the proximity is as follows:
when the sample is a positive ideal solution,the method comprises the steps of carrying out a first treatment on the surface of the When the sample is a negative ideal solution, +.>. Normally +.>. The third-order rescue response time length checking step n2 is as follows:
taking an actual guard point as a starting point and a guard point coverage area boundary point as an end point, and judging whether the rescue response travel time meets the requirement; if yes, determining the actual attended point as the final site selection position of the attended point; otherwise, the relaxation radius is adjusted, the alternative guard point is selected again for calculation, and the requirement is met until the third-order rescue response time length check is finished.
Example 2
In this embodiment, a certain gas company is taken as an example, and the gas pipe network data information is shown in table 1.
In the practical application process:
firstly, the calculation distance needs to be subjected to plane projection of longitude and latitude, and the Gaussian plane projection is selected in the embodiment, so that the projection accuracy is high, the deformation is small, and the calculation is simple and convenient. The emergency response time of the emergency personnel at the attended point reaching the gas accident point is required to meet the requirement, the coverage range of the attended point can be reflected by using the plane Euclidean distance, and further the constraint of response time is reflected, so that the longitude and latitude coordinates of the gas pipe network data are uniformly converted into Gaussian plane coordinates for calculation, and the Gaussian plane coordinates in the embodiment are shown in a table 2. Moreover, as gas leakage may occur in each gas pipeline of the town gas pipe network, the distribution of the gas pipe network is dispersed in the form of characteristic nodes, so that each gas pipeline of the gas pipe network is covered by an on-duty point, and longitude and latitude coordinates are converted into Gaussian plane coordinates by taking the characteristic nodes as an example. As shown in fig. 3.
And secondly, comparing the number of the on-duty points and the coverage area under different coverage radiuses according to the characteristic nodes, the set coverage model and the coverage area adjustment principle, and checking the first-order rescue response time length, as shown in a table 3.
When the coverage distance of the guard point is 13 km, the maximum travel time required by the emergency response of the off-peak period of each area is lower than the specified emergency response time (30 min) of the gas company in the area, and the maximum travel time required by the emergency response of the peak period of each area is lower than 32 min, so that the requirement of emergency personnel on the specified time on site is basically met. Referring to fig. 4, the number of the attended points and the rescue response time are comprehensively considered, and the area can meet the requirement by only 2 attended points.
And then, solving theoretical on-duty points by utilizing a single-target distance optimization function and the rescue hot spot area data, and ensuring that accident handling personnel quickly arrive at the rescue hot spot area under the condition that the rescue response travel time meets the stipulation.
Taking coverage area 1 as an example, 178 feature node data, 88 historical rescue point data and 28 potential risk hidden danger point data are taken as total distance results of each possible theoretical guard point and rescue hot spot area are calculated and shown in table 4. The theoretical watch point coordinates and the second-order rescue response time length check of the patch are shown in table 5. The theoretical point of care distribution is shown in figure 5.
And then, establishing a point-of-care engineering adaptability evaluation index system.
The system of the adaptability evaluation index of the guard point engineering comprises a first-level index and a second-level index; the first-level index is a guard point engineering adaptability evaluation (O); the secondary index comprises the maximum duration M of emergency response 1 Stability of communication signals M 2 Parking condition M 3 Operation and maintenance cost M 4 Safety guarantee M 5 Living office condition M 6 . And then, determining the total sorting weight of each bottom index level in the unattended engineering adaptability evaluation index system.
The judgment matrix of the evaluation index is constructed according to the above-mentioned adaptability evaluation index system of the guard point engineering, as shown in table 6.
In the embodiment, the maximum eigenvalue lambda of the O-M judgment matrix is obtained according to the constructed judgment matrix max =6.268，CI=0.054，RI=1.240，CRIf the consistency of the judgment matrix meets the requirement, the total ordering weight of the bottom index hierarchy is obtained:
W=[0.450 0.235 0.159 0.077 0.052 0.027]
then, an alternative gatekeeper point is determined.
In this embodiment, an existing guard point exists near the theoretical guard point No.1, and the maximum rescue response travel time of the existing guard point is checked, as shown in table 7. The existing guard point near the theoretical guard point No.1 meets the requirement of emergency response time and can be directly used as an actual address selection result.
Here, no existing guard point exists near the guard point No.2, so that the engineering adaptability evaluation of the theoretical guard point No.2 is required. The straight line distance from the nearest customer service center of theoretical point No.2 is taken as the relaxation distance. Namely, a customer service center in a range from a theoretical guard point (No. 2) 5 km is used as an alternative guard point C, an alternative guard point A, B of construction feasibility is screened out in a relaxation range to develop engineering adaptability evaluation of the alternative guard point, r is a relaxation distance, the theoretical guard point is used as the center, an alternative guard point which can meet construction conditions is screened out in a relaxation radius to conduct engineering adaptability evaluation, the initial value of r can be the linear distance between the theoretical guard point and the nearest existing facility, the requirements of emergency duration are not met after the screened guard point of the distance is subjected to adaptability evaluation, and adjustment can be reduced until the emergency time meets the requirements after the adaptability evaluation. As shown in fig. 6.
And finally, evaluating the applicability of the alternative guard point engineering by using a good-bad solution distance method, checking the third-order emergency response time length, and preferentially selecting the alternative guard point as an actual guard point.
In this embodiment, evaluation indexes of each candidate guard point are scored and uniformly converted into benefit indexes through on-site investigation data to obtain an initial candidate guard point evaluation matrix as shown in table 8, the initial evaluation matrix is dimensionless, and weighting is performed by combining with total ordering weights of the bottom layer index layers to obtain a weighted standard decision matrix of the candidate guard point as shown in table 9.
/>
From the formulaCalculating positive and negative ideal solutions of alternative guard point evaluation schemesC + 、C - As shown in table 10.
From the formulaRespectively calculating the distances between each alternative guard point and the positive ideal solution and the negative ideal solutionD + 、D - Substituted +.>The closeness of each alternative gatekeeper point to the negative ideal solution is calculated as shown in table 11. As can be seen from Table 11, the closeness of the alternative gatekeeper point C to the negative ideal solution is calculatedEAt maximum, an alternative attended point C (customer service center) is recommended as an actual attended point. As shown in fig. 7.
Finally, combining the distribution of theoretical guard points, existing guard points and customer service centers, taking the guard point engineering adaptability evaluation index as a site selection standard, screening alternative guard points, carrying out engineering adaptability evaluation and preferential selection on constructable alternative guard points existing near the theoretical guard points through a good-bad solution distance method, and enabling an optimized layout scheme and third-order rescue response time length of the patch guard points to be shown in a table 12.
Therefore, according to the urban gas emergency rescue attendant point optimization layout method provided by the embodiment, when a gas accident happens, rescue personnel can quickly reach the gas accident site to perform accident pre-treatment, the rescue efficiency of a gas company can be improved, and casualties and economic losses caused by sudden gas accidents are reduced.
The above is only a preferred embodiment 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.
Claims (8)
1. The town gas emergency rescue attendant point optimizing layout method is characterized by comprising the following steps:
aggregate coverage area partitioning: calculating the number of the on-duty points and the coverage area;
gate keeper optimizing addressing: calculating the total distance between the guard point and the rescue hotspot area;
and (3) evaluation of adaptability of the point-of-care engineering: performing quality sequencing on the alternative guard points based on an analytic hierarchy process and a quality solution distance method to obtain an optimized layout scheme of the guard points;
the aggregate coverage area division includes the steps of:
calculating the number of the on-duty points;
coverage area adjustment;
checking the first-order rescue response time length;
the calculation of the number of the guard points comprises the following steps:
selecting a gas inlet point, a branch point and a tail end point of a gas pipeline as characteristic nodes;
establishing a set coverage model, and setting a coverage radius to calculate the number of on-duty points, wherein the formula is as follows:
wherein:x j for being selected as the center of the coverage area of the attended point, if selected, it is 1, if not selected, it is 0,j∈E，E={1,2,3,…,nis the set of core points in the candidate attended point coverage area,i∈D，D={1,2,3,…,mand is a set of feature nodes,to be covered with characteristic nodesiCenter point in gatekeeper point coverage areajIs a set of (a) and (b),Mfor feature node and on-duty point coverageThe maximum distance allowed between the centers of the zones, i.e. the radius of coverage.
2. The town gas emergency rescue attendant point optimizing layout method of claim 1, wherein the coverage area is adjusted based on the following principles:
response timeliness principle: characteristic nodes of the intersected coverage area are distributed to one side close to the center of the coverage area;
workload balancing principle: characteristic nodes of the intersecting coverage areas are assigned to coverage areas that cover a smaller number of characteristic nodes.
3. The town gas emergency rescue attendant point optimizing layout method as defined in claim 1, wherein said first order rescue response time length check comprises:
and judging whether the rescue response travel time meets the requirement or not by taking the center of the coverage area of the guard point as a starting point and the characteristic nodes of the boundary of the coverage area of the guard point as an ending point, if so, determining the number of the guard points and the coverage area, performing the optimization and site selection calculation of the guard point, otherwise, adjusting the coverage radius to calculate again until the first-order rescue response time length check meets the requirement.
4. The town gas emergency rescue attendant point optimizing layout method as defined in claim 1, wherein said attendant point optimizing site selection comprises the following steps:
calculating the total distance between the guard point and the rescue hotspot area;
and checking the second-order rescue response time length.
5. The town gas emergency rescue attendant point optimizing layout method as defined in claim 4, wherein the total distance between the attendant point and the rescue hotspot area is calculated, comprises the following steps:
historical rescue data and potential risk hidden danger point data are extracted to be used as rescue hot spot area data;
based on the rescue hot spot area data in the coverage area, a single-target distance optimization function is established, theoretical on-duty points are solved, and the formula is as follows:
wherein:F 1 for the total distance between the theoretical point of care and the historical rescue point,F 2 the total distance between the theoretical guard point and the potential risk hidden danger point;
wherein:
wherein: (x t ,y t ) Is the theoretical point Gaussian plane coordinate, and is characterized by thatc k ,d k ) For the gaussian plane coordinates of the historical rescue points,k={1,2,…,pand the } is a historical emergency point set, and the #e l ,f l ) As the gaussian plane coordinates of the potential risk potential points,l={1,2,…,qis a set of potential risk hidden danger points }, is #a u ,b u ) Gaussian plane coordinates of characteristic nodes in a theoretical guard point coverage area,u={1,2,…,eand is a set of feature nodes within a theoretical gatekeeper point coverage area, a radius constraint is covered for the set,the coverage radius of the on-duty point rescue time meeting the requirements is solved for the aggregate coverage model.
6. The town gas emergency rescue attendant point optimizing layout method as defined in claim 4, wherein said second order rescue response time length check comprises the steps of:
and judging whether the rescue response travel time meets the requirements or not by taking a theoretical guard point as a starting point and a characteristic node of a boundary of a coverage area of the theoretical guard point as an end point, if so, determining the position of the theoretical guard point, carrying out evaluation calculation on the adaptability of the guard point engineering, otherwise, adjusting the coverage radius to calculate again until the second-order rescue response time length check meets the requirements.
7. The town gas emergency rescue attendant point optimizing layout method as defined in claim 1, wherein said attendant point engineering adaptability evaluation comprises the following steps:
evaluating the applicability of the alternative guard point engineering;
and checking the third-order rescue response time length.
8. The town gas emergency rescue attendant point optimizing layout method of claim 7, wherein said candidate attendant point engineering applicability evaluation comprises the following steps:
establishing an on-duty point engineering adaptability evaluation index system based on safety, accessibility, guarantee distance, economic principle and communication signals;
determining the index weight of each bottom layer in the adaptability evaluation index system of the guard point engineering based on an analytic hierarchy process;
checking whether the existing guard point or customer service center near the theoretical guard point meets the requirement of the specified rescue response time length, if so, taking the theoretical guard point as a center, taking the relaxation distance as a radius, determining the relaxation range, and screening the alternative guard point;
and evaluating the applicability of the alternative guard point engineering by using a good and bad solution distance method, and preferentially selecting the alternative guard point as an actual guard point.
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