CN111915212A - Intelligent discovery equipment layout method based on GIS suitability analysis - Google Patents
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Abstract
The invention relates to an intelligent discovery equipment layout method based on GIS suitability analysis, which comprises the following steps: collecting relevant data of a target area, and counting the cost of a traditional scheme of the target area, wherein the cost of the traditional scheme of the target area is the cost of manpower collection problems in a preset time period of the target area; collecting relevant data of a target area, constructing a total cost model of intelligent discovery equipment of the target area, and calculating the total cost of the intelligent discovery equipment constructed in the target area; judging the necessity of setting intelligent discovery equipment in the target area according to the traditional scheme cost of the target area and the total cost of the intelligent discovery equipment; based on a GIS suitability algorithm, specific layout points of the intelligent discovery equipment are obtained, and the scheme can solve the problems of whether the intelligent discovery equipment needs to be built, the number of the built intelligent discovery equipment needs to be built, the optimized construction layout needs to be obtained and the like.
Description
Technical Field
The invention relates to an equipment layout method, in particular to an intelligent equipment layout discovery method based on GIS suitability analysis.
Background
With the development of society, more and more intelligent discovery devices are applied to public facilities, the traditional intelligent discovery device layout method is not compared with the existing labor cost generally, and has the risks of repeated construction and invalid construction, and the existing cost analysis method is only used for simply comparing the existing cost with the cost for constructing the intelligent discovery devices, so that whether the intelligent discovery devices need to be constructed or not is simply obtained, and how many intelligent discovery devices are needed and how to layout the intelligent discovery devices cannot be calculated. Therefore, it is very necessary to design a method for solving the problems of whether intelligent discovery devices need to be built, the number of built devices, and optimized construction layout.
Disclosure of Invention
The invention aims to provide an intelligent discovery equipment layout method based on GIS suitability analysis, aiming at the problems in the prior art.
In order to realize the purpose of the invention, the invention adopts the following technical scheme: an intelligent discovery equipment layout method based on GIS suitability analysis comprises the following steps:
s1: collecting relevant data of a target area, and counting the cost of a traditional scheme of the target area, wherein the cost of the traditional scheme of the target area is the cost of manpower collection problems in a preset time period of the target area;
s2: collecting relevant data of a target area, constructing a total cost model of intelligent discovery equipment of the target area, and calculating the total cost of the intelligent discovery equipment constructed in the target area;
s3: judging the necessity of setting intelligent discovery equipment in the target area according to the traditional scheme cost of the target area and the total cost of the intelligent discovery equipment;
s4: and obtaining the specific layout point positions of the intelligent discovery equipment based on a GIS suitability algorithm.
The working principle and the beneficial effects are as follows: the cost of the traditional scheme of the target area is calculated through the related data of the target area, the optimized construction scheme of the intelligent discovery equipment is calculated according to cost analysis and GIS suitability analysis, and compared with the traditional scheme, whether the intelligent discovery equipment needs to be constructed or not can be calculated, the optimal construction quantity of the intelligent discovery equipment and the optimal layout of the intelligent discovery equipment can be calculated, so that the risks of repeated construction and invalid construction are greatly reduced, and the total cost can be effectively reduced.
Further, in S3, it is determined whether the conventional solution cost of the target area is greater than the total cost of the intelligent discovery device; if yes, intelligent discovery equipment is required to be built in the target area; if not, the target area does not need to be built with intelligent discovery equipment.
Further, the cost of the conventional scheme in step S1 is a labor discovery cost for reporting the problem effectively.
Further, the total cost of the intelligent discovery device in the step S2 is the sum of the single cost of the intelligent discovery device to be built, the operation and maintenance cost of the device changing with time, and the total fixed cost of the batch building.
Further, the single problem discovery cost after the intelligent discovery equipment is used is calculated according to the total cost of constructing a plurality of intelligent discovery equipment, the increase rate of the problem discovery number of the target area and the utilization rate of the intelligent discovery equipment.
Further, in step S3, when it is determined that the smart device needs to be built, a lower limit of the number of the smart discovery devices needs to be calculated, where the lower limit of the number of the smart discovery devices is obtained by dividing a peak value of a total number of problems during a usage period of the smart discovery devices by a maximum discovery capability of the smart discovery devices during the usage period.
Further, the total cost C of the intelligent discovery equipmentnewThe calculation formula of (2) is as follows:
wherein Q is the number of intelligent discovery devices to be built, Ci is the investment cost for building a single intelligent discovery device, and CjFor equipment maintenance costs over time, CFixing deviceFor the total fixed cost of batch construction, t is the age or year of the intelligent discovery device.
Further, a single problem discovery cost C 'after using smart discovery devices'newThe calculation formula of (2) is as follows:
wherein, CnewAnd v is the increase rate of the number of the problems in the target area, w is the utilization rate of the intelligent discovery equipment, and m is the problem coverage number of Q intelligent discovery equipment to be built.
Further, when it is determined that the intelligent device needs to be built, the maximum value of the number of the intelligent discovery devices needs to be calculated, and a calculation formula for calculating the maximum value allowed by the intelligent discovery device in the target area is as follows:
C’old≥C’new+C’container
Wherein, C'oldAverage discovery cost, C 'for individual problems using traditional discovery methods'ContainerThe intelligent discovery device for a single problem comes into production tolerance.
Further, the GIS suitability algorithm in step S4 includes the following specific steps:
s41, acquiring fixed construction cost, variable traditional discovery cost and utilization rate of intelligent discovery equipment;
s42, performing data analysis and normalization processing on the fixed construction cost, the variable traditional discovery cost and the utilization rate of the intelligent discovery equipment to obtain a uniform quantity scale, namely obtaining a normalization value of three dimensions;
and S43, overlapping the normalized values of the three dimensions to obtain an overlapped value, and visually displaying on a map.
Further, in step S43, a higher data value of the superimposed value indicates that it is more appropriate to construct the smart discovery device, and the region with the highest superimposed value is selected as the construction region of the smart discovery device.
Drawings
FIG. 1 is a block flow diagram of the present invention;
FIG. 2 is a block flow diagram of embodiment 1;
FIG. 3 is a flowchart of step 4 in example 1;
fig. 4 is an effect diagram of embodiment 2.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
It will be understood by those skilled in the art that in the present disclosure, the terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in an orientation or positional relationship indicated in the drawings for ease of description and simplicity of description, and do not indicate or imply that the referenced devices or components must be constructed and operated in a particular orientation and thus are not to be considered limiting.
Embodiment 1, as shown in fig. 1 and 2, the intelligent discovery device layout method based on GIS suitability analysis includes a method for intelligent discovery device layout based on GIS suitability analysis, including the following steps:
s1, collecting relevant data of the target area, such as average annual wage of the collectors, the number of the collectors, manual problem collection efficiency, the annual total number of the manual problem collection and the like, according to the real-time case occurrence data statistical result and the actual condition of the project, and counting the traditional scheme cost C of the target areaoldThe cost of the problem of manpower collection of the target area in the last year is effectively reported by a unit, and the step can truly reflect the cost really spent by the target area in the last year without adopting intelligent discovery equipment;
s2, collecting relevant data of the target area, and constructing a total cost model C of the intelligent discovery equipment of the target areanewThe basic logic is that the total cost equals the fixed cost of equipment construction plus the equipment use cost, specifically the single cost C of the intelligent discovery equipment to be constructediTime-varying equipment operation and maintenance cost CjAnd total fixed cost C of batch constructionFixing deviceIs calculated by the formula
Total cost C for constructing Q intelligent discovery devicesnewTarget area problem discovery number growth rate v is calculated as smart device utilization rate w and calculated single problem discovery cost C 'after smart discovery devices are used'newThe formula is as follows:
in the step, the theoretical cost of the scheme adopting the intelligent discovery equipment is calculated, more factors are considered, and the method is more in line with the actual situation.
S3, comparing the cost of the traditional scheme with the total cost of the intelligent discovery equipment, judging the necessity of constructing the intelligent discovery equipment, if the cost of the traditional scheme is larger than the total cost of the intelligent discovery equipment, determining that the scheme for constructing the intelligent discovery equipment needs to be adopted, calculating the maximum value allowed by the intelligent discovery equipment in the target area, and solving an inequality C'old≥C’new+C’ContainerDeriving the maximum number Q allowed for building intelligent discovery devicesmax，C’oldAverage discovery cost, C 'for individual problems using traditional discovery methods'ContainerIntelligent discovery device on-production tolerance for Single issue, C'oldA common calculation is to multiply the total cost of labor per unit time by the collection efficiency divided by the number of problems, C ', manually collected per unit time'ContainerCalculation methods are typically according to C'oldIs multiplied by a coefficient which is determined by the desired input-output ratio, typically between 0 and 1; if the cost of the traditional scheme is less than the total cost of the intelligent discovery equipment, Q cannot be calculatedmax，QminIf so, intelligent discovery equipment is not built, and a traditional scheme is adopted;
the setting in the step S3 is that when the cost of the traditional scheme is judged to be too high, the scheme of the intelligent discovery equipment needing to be built can be immediately determined, and then the scheme of the intelligent discovery equipment needing to be built is continuously optimized;
if the cost of the traditional scheme is larger than the total cost of the intelligent discovery equipment, the lower limit of the number of the intelligent discovery equipment is obtained according to the maximum discovery capability of the existing intelligent discovery equipment and the problem peak value in the use period, if the maximum discovery capability of the intelligent discovery equipment is n problems discovered every year, the total number of the problems collected by the intelligent discovery equipment in the year is m, the problem occurrence growth rate in the year is k, and the number of the problems in the construction year is y, then the lower limit of the number of the intelligent discovery equipment is obtained
Taking an integer;
s3, if the intelligent discovery equipment scheme is adopted, calculating the number of intelligent discovery equipment needed by the target to obtain an optimum interval so as to further optimize the calculation through a subsequent GIS suitability algorithm; if the cost of the traditional scheme is lower, intelligent discovery equipment is not built, and the existing manual mode is adopted, so that the most cost-effective scheme can be obtained no matter what the result is in the step.
And S4, obtaining the specific layout point of the intelligent discovery equipment based on a GIS suitability algorithm, namely an optimized intelligent discovery equipment construction scheme.
The GIS suitability algorithm comprises the following specific steps:
s41, collecting fixed construction cost C of each unit calculated by taking ten-thousand-meter unit grid as minimum unitFixing deviceVariable tradition discovery cost C0And the utilization rate w of the intelligent discovery equipment (considering that not all reporting problems can become effective cases), the three are single factors to be considered when the suitability analysis is carried out;
the above-mentioned fixed construction cost CFixing deviceEquipment modification and installation cost of the area needs to be considered;
variable tradition discovery cost C as described above0Average acquisition cost block of the unit grid areaDetermining;
the utilization rate w of the intelligent discovery equipment is determined by the historical level of the area where the unit grid is located;
s42, analyzing the data in the step S41, namely the three types of data according to the following formula respectively and carrying out normalization processing to obtain a uniform number scale, namely a normalized value of three dimensions
S43, model superposition is carried out on the normalized values of the three dimensions according to the following rules to obtain superposition values, and visual display is carried out on a map
f(x)＝f(w)+f(C0)-f(CEnclose)；
S44, the higher the numerical value of the comprehensive function f (x), the more suitable the intelligent discovery equipment is to be built, and the high-partition area which meets the construction number and the target budget is selected as the last construction area, namely the area with the highest superposition value is selected as the construction area of the intelligent discovery equipment;
the setting of the step S4 is combined with a GIS suitability algorithm, and GIS is also called a geographic information system, which is a specific and very important spatial information system. It is a technical system for collecting, storing, managing, operating, analyzing, displaying and describing relevant geographic distribution data in whole or partial earth surface (including atmosphere) space under the support of computer hardware and software system, and is characterized by that it utilizes CFixing device、C0And w are respectively substituted into a formula to calculate the most reasonable intelligent discovery equipment layout scheme in the target area.
In the step S4, ten thousand meter unit grids mean grid city management, that is, ten thousand meter unit grid management, a technical idea of grid maps is applied in city management, ten thousand square meters are used as basic units to divide an urban area into a plurality of grid-shaped units, then a plurality of or even dozens of ten thousand meter unit grids are combined into a working grid according to the distribution of city management components in the grids, and a city management information collector monitors the working grid managed by the grid at all times, and determines the management and maintenance responsibilities of each relevant department and unit, thereby realizing hierarchical, graded, all-area and all-around management of cities.
In embodiment 2, a certain area is set as an implementation background, and a construction scheme of an intelligent discovery device, namely a camera, is analyzed in a five-year period.
According to the actual situation and the historical statistics, the following relevant data are obtained as shown in the following table:
acquirer (traditional acquisition method) related data:
camera (intelligent discovery device) related data:
c 'is calculated according to the step 1'old4.5 × 30x0.67/72000 ═ 0.00125625 ten thousand yuan/effective problem;
according to the step 2, an intelligent total cost discovery model C is establishednewAnd C'newA function for constructing the number Q of intelligent discovery devices is obtained as follows:
according to step 3, considering that there is generally a higher demand for input-output ratio if intelligent discovery equipment is adopted, the implementation is implementedIn the examples, C'oldIs halved, i.e. 0.5C'old0.00062812 ten thousand yuan/valid issue, this value is C'ContainerThe intelligent discovery of single problem is carried out on the input-output tolerance of the equipment, namely, the intelligent discovery has better cost performance than the traditional scheme and has high input-output ratio return only under the condition;
according to step 3, the values in steps 2 and 3 are substituted into the inequality:
C’old≥C’new+C’containerCalculated, 0 < Q < 249.4, therefore QmaxThe number of (2) is 249, namely the maximum number of cameras to be constructed, and then the number is calculated
The inequality can obtain a solution, namely, the solution adopting the scheme for building the intelligent discovery equipment is lower than the traditional scheme in cost, if the solution cannot be obtained, the traditional scheme is directly adopted or the requirement for reducing the input-output ratio is reduced for recalculation until the solution which can be obtained is obtained;
and (4) calculating a proper construction point position according to the algorithm in the step (4), wherein as a result, as shown in fig. 3, the number of the cameras in the circle is set more densely, so that the construction can be continued, and the number of the cameras in other areas can be properly reduced or no longer constructed.
It is understood that the terms "a" and "an" should be interpreted as meaning that a number of one element or element is one in one embodiment, while a number of other elements is one in another embodiment, and the terms "a" and "an" should not be interpreted as limiting the number.
Although the terms are used more often herein, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
The present invention is not limited to the above-mentioned preferred embodiments, and any other products in various forms can be obtained by anyone in the light of the present invention, but any changes in the shape or structure thereof, which have the same or similar technical solutions as those of the present application, fall within the protection scope of the present invention.
Claims (10)
1. An intelligent discovery equipment layout method based on GIS suitability analysis is characterized by comprising the following steps:
collecting relevant data of a target area, and counting the cost of a traditional scheme of the target area, wherein the cost of the traditional scheme of the target area is the cost of manpower collection problems in a preset time period of the target area;
collecting relevant data of a target area, constructing a total cost model of intelligent discovery equipment of the target area, and calculating the total cost of the intelligent discovery equipment constructed in the target area;
judging the necessity of constructing intelligent discovery equipment in the target area according to the traditional scheme cost of the target area and the total cost of constructing the intelligent discovery equipment;
and obtaining the specific layout point positions of the intelligent discovery equipment based on a GIS suitability algorithm.
2. The GIS suitability analysis-based intelligent discovery device layout method according to claim 1, wherein determining whether a traditional solution cost of a target area is greater than a total intelligent discovery device cost; if yes, intelligent discovery equipment is required to be built in the target area; if not, the target area does not need to be built with intelligent discovery equipment.
3. The GIS suitability analysis-based intelligent discovery device layout method according to claim 2, wherein the total intelligent discovery device cost is the sum of the individual cost of the intelligent discovery device to be built, the time-varying device operation and maintenance cost, and the total batch building fixed cost.
4. The GIS suitability analysis-based intelligent discovery device layout method according to claim 3, wherein a single problem discovery cost after using the intelligent discovery device is calculated according to a total cost of constructing a plurality of intelligent discovery devices, a target area problem discovery number increase rate and an intelligent discovery device utilization rate.
5. The GIS suitability analysis-based intelligent discovery device layout method according to claim 4, wherein after calculating the necessary intelligent generation devices, calculating the lower limit of the number of intelligent discovery devices, the lower limit of the number of intelligent discovery devices being obtained by dividing the peak value of the total number of problems during the period of use of the intelligent discovery devices by the maximum discovery capability of the intelligent discovery devices during the period.
6. The GIS suitability analysis-based intelligent discovery device layout method according to claim 5, wherein the total cost of intelligent discovery devices CnewThe calculation formula of (2) is as follows:
wherein Q is the number of intelligent discovery devices to be built, Ci is the investment cost for building a single intelligent discovery device, and CjFor equipment maintenance costs over time, CFixing deviceFor the total fixed cost of batch construction, t is the age or year of the intelligent discovery device.
7. The GIS suitability analysis-based intelligent discovery device layout method according to claim 6, wherein the cost C 'is found for a single problem after intelligent discovery device usage'newThe calculation formula of (2) is as follows:
wherein, CnewFor intelligently discovering the total cost of equipment, v is the increase rate of the number of the target area problems, w is the utilization rate of the intelligent discovery equipment, and m is the question of Q intelligent discovery equipment to be builtThe number of title covered.
8. The GIS suitability analysis-based intelligent discovery device layout method according to claim 7, wherein the maximum value allowed by the intelligent discovery device of the calculation target area is calculated by the following formula:
C’old≥C’new+C’container
Wherein, C'oldAverage discovery cost, C 'for individual problems using traditional discovery methods'ContainerThe intelligent discovery device for a single problem comes into production tolerance.
9. The intelligent discovery device layout method based on GIS suitability analysis according to claim 1, wherein the GIS suitability algorithm comprises the specific steps of:
collecting fixed construction cost, variable traditional discovery cost and utilization rate of intelligent discovery equipment;
respectively analyzing data and normalizing the fixed construction cost, the variable traditional discovery cost and the utilization rate of the intelligent discovery equipment to obtain normalized values of three dimensions;
and superposing the normalized values of the three dimensions to obtain a superposed value, and visually displaying on a map.
10. The GIS suitability analysis-based intelligent discovery device layout method according to claim 9, wherein the region with the highest superposition value is selected as a construction region of the intelligent discovery device.
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