CN111915212B - Intelligent discovery equipment layout method based on GIS suitability analysis - Google Patents
Intelligent discovery equipment layout method based on GIS suitability analysis Download PDFInfo
- Publication number
- CN111915212B CN111915212B CN202010807743.5A CN202010807743A CN111915212B CN 111915212 B CN111915212 B CN 111915212B CN 202010807743 A CN202010807743 A CN 202010807743A CN 111915212 B CN111915212 B CN 111915212B
- Authority
- CN
- China
- Prior art keywords
- discovery
- cost
- intelligent
- target area
- intelligent discovery
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Databases & Information Systems (AREA)
- Remote Sensing (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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 constructed intelligent discovery equipment of 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 device discovering 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 constructed intelligent discovery equipment of 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 position 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 which changes with time, and the total fixed cost of the batch construction.
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 number of years or years of use 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 performing visual display on a map.
Further, in step S43, a higher data value of the superimposition value indicates a better suitability for construction of the smart discovery device, and the region with the highest superimposition 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 areaoldNamely, the cost of the manpower collection problem of the target area in the last year, namely, the cost effectively reported by the unit, and the step can truly reflect the cost really needed to be spent on 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 conventional discovery methods'ContainerIntelligent discovery device to Individual problem is on-production tolerant number, and C'oldThe usual 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 usually according to C'oldIs multiplied by a coefficient which is determined by the desired input-to-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 the intelligent discovery equipment is not built, the traditional scheme is adopted;
s3, when the cost of the traditional scheme is judged to be too high, the scheme of the intelligent discovery equipment to be built can be immediately determined, and then the scheme of the intelligent discovery equipment 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;
if the intelligent equipment discovery scheme is adopted in the step S3, calculating the number of intelligent discovery equipment required 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 found to be 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.
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 a ten-kilometer unit grid as a 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 above0Determining the average acquisition cost of the area where the unit grid is located;
the utilization rate w of the intelligent discovery device 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 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 systemFixing 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 will generally be a higher demand on the input-to-output ratio if intelligent discovery equipment is employed, in this embodiment, C 'will therefore be used'oldIs halved, i.e. 0.5C'old0.00062812 ten thousand yuan/valid issue, this value is C'ContainerIntelligent issue of single questionThe existing equipment input-output tolerance is high, namely, the cost performance is better than that of the traditional scheme only under the condition, and the input-output ratio is high;
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, that is, the solution adopting the scheme of constructing the intelligent discovery device is lower than the traditional scheme in cost, if the solution cannot be obtained, the traditional scheme is directly adopted or the requirement of reducing the input-output ratio is reduced to recalculate the solution 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 preferred embodiments, and any other various products can be obtained by anyone in light of the present invention, but any changes in shape or structure thereof, which are similar or identical to the technical solution of the present invention, fall within the protection scope of the present invention.
Claims (7)
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 constructed intelligent discovery equipment of 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;
judging whether the cost of the traditional scheme of the target area is greater than the total cost of the intelligent discovery equipment;
if yes, the target area is necessary to build intelligent discovery equipment, and the maximum value allowed by the intelligent discovery equipment of the target area is calculated based on the single problem discovery cost of the intelligent discovery equipment and the single problem discovery cost of a traditional discovery method; if not, the target area does not need to build intelligent discovery equipment;
obtaining specific layout points of the intelligent discovery equipment based on a GIS suitability algorithm;
the calculation formula of the single problem discovery cost C' new after the intelligent discovery equipment is used is as follows:
wherein, CnewThe total cost of equipment is intelligently discovered, v is the number increase rate 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;
the calculation formula for calculating the maximum value allowed by the target area intelligent discovery device is as follows:
wherein, the first and the second end of the pipe are connected with each other,
to average the discovery cost for a single problem using conventional discovery methods,
the device is built to yield a tolerance number for the intelligent discovery of a single problem.
2. The GIS suitability analysis based intelligent discovery device layout method according to claim 1 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 batch building total fixed cost.
3. The GIS suitability analysis-based intelligent discovery device layout method according to claim 2, wherein a single problem discovery cost after using an intelligent discovery device is calculated according to the total cost of building a plurality of intelligent discovery devices, the target area problem discovery number increase rate and the intelligent discovery device utilization rate.
4. The GIS suitability analysis-based intelligent discovery device placement method of claim 3, 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.
5. The GIS suitability analysis based intelligent discovery device placement method of claim 4, where in the total intelligent discovery device cost CnewThe calculation formula of (c) is:
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 number of years or years of use of the intelligent discovery device.
6. The intelligent device layout discovery method based on GIS suitability analysis according to claim 1, wherein GIS suitability algorithm comprises the following specific steps:
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.
7. The GIS suitability analysis-based intelligent discovery device layout method according to claim 6, wherein the region with the highest superposition value is selected as a construction region of the intelligent discovery device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010807743.5A CN111915212B (en) | 2020-08-12 | 2020-08-12 | Intelligent discovery equipment layout method based on GIS suitability analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010807743.5A CN111915212B (en) | 2020-08-12 | 2020-08-12 | Intelligent discovery equipment layout method based on GIS suitability analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111915212A CN111915212A (en) | 2020-11-10 |
| CN111915212B true CN111915212B (en) | 2022-07-22 |
Family
ID=73284353
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010807743.5A Active CN111915212B (en) | 2020-08-12 | 2020-08-12 | Intelligent discovery equipment layout method based on GIS suitability analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111915212B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106170792A (en) * | 2014-03-03 | 2016-11-30 | 飞利浦灯具控股公司 | For the method disposing sensor |
| CN106203744A (en) * | 2016-08-19 | 2016-12-07 | 中国能源建设集团广东省电力设计研究院有限公司 | The Optimization Method for Location-Selection of offshore boosting station |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7082401B2 (en) * | 2000-03-24 | 2006-07-25 | Telcordia Technologies, Inc. | Digital subscriber line network deployment method |
-
2020
- 2020-08-12 CN CN202010807743.5A patent/CN111915212B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106170792A (en) * | 2014-03-03 | 2016-11-30 | 飞利浦灯具控股公司 | For the method disposing sensor |
| CN106203744A (en) * | 2016-08-19 | 2016-12-07 | 中国能源建设集团广东省电力设计研究院有限公司 | The Optimization Method for Location-Selection of offshore boosting station |
Non-Patent Citations (6)
| Title |
|---|
| 城市消防高空望点布局优化方法;蒋建安等;《消防科学与技术》;20110215(第02期);全文 * |
| 基于GIS空间分析的视频监控点选址系统设计;左海龙;《电子测试》;20200315(第06期);全文 * |
| 基于人口密度的城市小型转运环卫设施空间布局研究;李铌等;《经济地理》;20130926(第09期);全文 * |
| 基于视频GIS的小型基建智能监控系统构建;李明勇等;《现代测绘》;20180125(第01期);全文 * |
| 成本导向下村镇物流运输系统评价与规划优化方法研究――以重庆市渝北区邮政物流为例;姜俊宏等;《西南民族大学学报(自然科学版)》;20200125(第01期);全文 * |
| 林火视频监控空间优化布局与评价技术;孙伟等;《自然灾害学报》;20130415(第02期);第61-69页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111915212A (en) | 2020-11-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jing et al. | Distributed or centralized? Designing district-level urban energy systems by a hierarchical approach considering demand uncertainties | |
| CN106651161B (en) | Dynamic dispatching method for collection operation and maintenance | |
| CN104036357A (en) | Analysis method for electricity stealing behavioral mode of electricity utilization of user | |
| CN105373971A (en) | Method of building energy efficiency management on the basis of big data | |
| CN102707156A (en) | Method for finely and accurately comparing line losses based on smart-grid technology | |
| Qi et al. | Techno-economic assessment of photovoltaic power generation mounted on cooling towers | |
| CN109658131A (en) | The method for carrying out cost evaluation based on power grid typical cost data | |
| Lee et al. | Development of a rooftop solar photovoltaic rating system considering the technical and economic suitability criteria at the building level | |
| CN106844757A (en) | A kind of antenna azimuth Outlier mining method | |
| CN113988688A (en) | Method and system for evaluating ecological sustainability of cultivated land | |
| CN115577978A (en) | Power distribution network target investment decision element weight coefficient measuring and calculating method | |
| JP5710324B2 (en) | ENVIRONMENTAL INFORMATION MANAGEMENT DEVICE, ENVIRONMENTAL INFORMATION MANAGEMENT METHOD, AND ENVIRONMENTAL INFORMATION MANAGEMENT PROGRAM | |
| CN114611756A (en) | Urban combined drainage system water quantity load prediction method based on remote sensing technology | |
| CN111915212B (en) | Intelligent discovery equipment layout method based on GIS suitability analysis | |
| CN116109191A (en) | Urban department carbon emission estimation method and system based on satellite observation and GIS | |
| Wang et al. | High resolution photovoltaic power generation potential assessments of rooftop in China | |
| CN107423912A (en) | A kind of method and system for becoming dynamic mesh dynamic division based on personnel | |
| CN107862446A (en) | Water supply network integrated management analysis system based on Internet of Things | |
| Zhang et al. | A risk-based stochastic model for supporting resources allocation of agricultural water-energy-food system under uncertainty | |
| CN109661000A (en) | Management method, device, equipment and the readable storage medium storing program for executing of inefficient base station | |
| CN114184881A (en) | Fault event positioning method based on topological model tracking analysis | |
| Zhao et al. | Influence of urban morphology on facade solar potential in mixed-use neighborhoods: Block prototypes and design benchmark | |
| CN111541301B (en) | Power distribution network line variation relation checking method based on fluctuation rate | |
| CN112950436A (en) | Method and device for calculating overflow control parameters of combined pipeline | |
| CN114219133B (en) | Bottom-up load prediction method for power distribution network taking land block as unit |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |