CN112700030A - Method for applying cloud computing technology to engineering design - Google Patents
Method for applying cloud computing technology to engineering design Download PDFInfo
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Abstract
The invention discloses a method for applying a cloud computing technology to engineering design, which comprises the following steps: step S1, analyzing and optimizing the safety environment of the power line by using cloud computing; step S2, analyzing and optimizing the manufacturing cost of the power line by using cloud computing; and step S3, analyzing and protecting the human environment of the power line construction site by using cloud computing. The method and the device utilize the cloud computing technology to carry out GIS three-dimensional modeling on the line planning, have high visualization degree, high cost analysis and high route planning calculation rate, and can comprehensively and efficiently obtain monitoring data required by GIS modeling when the power line monitoring wireless sensor network for collecting information adopts cluster head node election, so as to improve the accuracy and the reasonability of the power line planning.
Description
Technical Field
The invention relates to the technical field of engineering design, in particular to a method for applying a cloud computing technology to engineering design.
Background
The cloud computing technology is a data management technology generated based on internet development, and can divide complex data into a plurality of subprograms, analyze the subprograms through a cloud computing server, and feed back results to a user data processing system. The cloud computing technology has extremely strong data analysis and processing capacity, can provide more rapid and convenient services for users, and is favorable for saving energy and time of the users.
With the continuous acceleration of economic development in China, the living standard of people is continuously improved, and the demand for electric energy is also continuously increased, so that the line design of the electric power engineering needs to be continuously optimized, the development and construction of the electric power engineering are further expanded to meet the increasing electric energy demand of people, and the calculation amount related to line planning is large, so that the method is suitable for being combined with a cloud computing technology to quickly design the electric power line, and the efficiency of engineering design is improved.
At present, the power line planning needs manual line data acquisition, the time consumption is long, and the data volume is easy to miss, so that the line planning is unreasonable.
Disclosure of Invention
The invention aims to provide a method for applying a cloud computing technology to engineering design, and aims to solve the technical problems that in the prior art, manual line data acquisition is long in time consumption and data volume is easy to miss, and therefore line planning is unreasonable.
In order to solve the technical problems, the invention specifically provides the following technical scheme:
a method for applying a cloud computing technology to engineering design comprises the following steps:
step S1, analyzing and optimizing the safety environment of the power line by using cloud computing;
step S2, analyzing and optimizing the manufacturing cost of the power line by using cloud computing;
and step S3, analyzing and protecting the human environment of the power line construction site by using cloud computing.
As a preferred embodiment of the present invention, in the step S1, a specific manner of analyzing and optimizing the safety environment of the power line by using cloud computing is as follows:
step S101, planning a power line: the cloud computing is utilized to carry out GIS three-dimensional modeling map to obtain all power lines of a power line area, the distance, the bending number and the bending degree of the power lines are computed, and proper power lines are selected to be displayed in the GIS three-dimensional modeling map according to the construction difficulty and the construction cost;
step S102, planning a route laying material: selecting corresponding paving materials according to the number of straight lines and the number of bends of the power line, and marking in a GIS three-dimensional modeling map;
step S103, avoiding severe weather: establishing a climate data table according to a large amount of cloud climate data by using a machine learning algorithm, marking in a GIS three-dimensional modeling map, and adjusting the trend of the power line in real time to obtain the optimal power line plan; .
As a preferred embodiment of the present invention, in the step S2, a specific manner of analyzing and optimizing the manufacturing cost of the power line by using cloud computing is as follows:
step S201, calculating a line cost: counting the number of straight lines and the number of bends in the power line, respectively calculating the cost of multiple materials which accord with the safety coefficient, and calculating the cost performance of the multiple materials;
step S202, maintenance cost calculation: respectively calculating maintenance cost according to the type of the line material, the maintenance mode and the service life;
step S203, electric power profit calculation: and calculating the electric power yield generated by the electric power line according to the number of households radiated by the electric power line, the household power consumption and the loss amount.
As a preferred embodiment of the present invention, in the step S3, the specific manner of analyzing and protecting the human environment of the power line construction site by using cloud computing is as follows:
step S301, marking a protection place: marking historical historic sites and schools in a GIS three-dimensional modeling map to remind a construction party of avoiding;
step S302, marking avoidance time: and marking time points needing to be avoided in the off-duty peak road sections of schools and residential buildings in the GIS three-dimensional modeling map so as to remind a construction party to reasonably plan the construction time and avoid prolonging the construction time limit.
The invention comprises an engineering design system which comprises a power line monitoring wireless sensor network, a cloud computing background server and a mobile terminal,
the power line monitoring wireless sensor is used for acquiring climate data and geographic data of GIS modeling in a power line planning range through a network and sending the acquired monitoring data to the cloud computing background server;
the cloud computing background server is used for performing GIS three-dimensional modeling, cost computing and route planning computing, a large data distributed system with high-performance parallel computing capability is constructed by combining a plurality of computing hosts and servers by taking a MapReduce computing model as a framework, and data analysis on monitoring data is performed on the large data distributed system, so that the monitoring data can be cut into the number of small tasks which is the same as the number of the computing hosts and distributed to each computing host and server for parallel execution to improve the computing efficiency;
and the mobile terminal is used for accessing the cloud computing background server and checking the monitoring data of the power line in real time.
As a preferred scheme of the present invention, the cloud computing background server includes a data communication unit, a data analysis processing unit, and a data storage unit, the data communication unit is connected to the data analysis processing unit, and the data analysis processing unit is connected to the data storage unit.
As a preferred scheme of the invention, the engineering design system further comprises a monitoring terminal for collecting the power line video stream, and the monitoring terminal is connected with the cloud computing background server through a communication network.
As a preferred scheme of the present invention, the power line monitoring wireless sensor network is a wireless sensor network with a cluster structure, and includes a power line monitoring node for acquiring the monitoring data, a cluster head node for collecting the power line monitoring data sent by the power line monitoring node in the cluster, and a base station, where the cluster head node fuses the power line monitoring data acquired by itself and the collected power line monitoring data and then transmits the fused data to the base station, and then sends the collected power line monitoring data to the cloud computing background server through the base station.
As a preferred embodiment of the present invention, when the power line monitoring wireless sensor network performs cluster head node election, the following steps are specifically performed:
(1) randomly selecting a number of the power line monitoring nodes from 0 to 1, and if the randomly selected number is smaller than a corresponding set threshold value, selecting the power line monitoring node as a temporary cluster head node;
(2) and if the residual energy of one temporary cluster head node is greater than all the neighboring temporary cluster head nodes, the temporary cluster head node automatically becomes a real cluster head node, otherwise, the cluster head node is abandoned for election.
As a preferred scheme of the invention, the monitoring data acquired by the power line monitoring wireless sensor network is transmitted to a cloud computing background server memory for storage.
Compared with the prior art, the invention has the following beneficial effects:
the method and the device utilize the cloud computing technology to carry out GIS three-dimensional modeling on the line planning, have high visualization degree, high cost analysis and high route planning calculation rate, and can comprehensively and efficiently obtain monitoring data required by GIS modeling when the power line monitoring wireless sensor network for collecting information adopts cluster head node election, so as to improve the accuracy and the reasonability of the power line planning.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
FIG. 1 is a flow chart of a method provided by an embodiment of the present invention;
fig. 2 is a block diagram of an engineering design system structure according to an embodiment of the present invention.
The reference numerals in the drawings denote the following, respectively:
1-power line monitoring wireless sensor network; 2-cloud computing background servers; 3-a mobile terminal; 4-monitoring terminal.
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, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 and 2, the present invention provides a method comprising the steps of:
step S1, analyzing and optimizing the safety environment of the power line by using cloud computing;
the principle of analysis and planning of the power line environment is that under the conditions of not increasing construction cost and not influencing project duration, the selection of the path needs to ensure that the line is shortest, the turning is minimum and the turning degree is minimum as far as possible, and the electricity utilization condition of people passing through an area of the line is counted and analyzed, so that the coverage rate of the line is ensured, and the direct average distance between the line and a power user needs to be shortest.
In the step S1, a specific manner of analyzing and optimizing the security environment of the power line by using cloud computing is as follows:
step S101, planning a power line: the cloud computing is utilized to carry out GIS three-dimensional modeling map to obtain all power lines of a power line area, the distance, the bending number and the bending degree of the power lines are computed, and proper power lines are selected to be displayed in the GIS three-dimensional modeling map according to the construction difficulty and the construction cost;
step S102, planning a route laying material: selecting corresponding paving materials according to the number of straight lines and the number of bends of the power line, and marking in a GIS three-dimensional modeling map;
step S103, avoiding severe weather: and establishing a climate data table according to a large amount of cloud climate data by using a machine learning algorithm, and marking in a GIS three-dimensional modeling map so as to adjust the trend of the power line in real time and obtain the optimal power line planning.
The power line is planned on the GIS three-dimensional modeling map, so that the visibility is effectively improved, and the power line can be further planned at a higher level; when different landforms and obstacles are met, the lines are reasonably arranged according to the local geographic environment, and an optimized line scheme is selected through corresponding comparison and analysis.
Further, when a special geographical environment is met, the actual environment of the site needs to be judged, and if the line passes through a mountain area, the construction environment condition needs to be ensured to be good, and the line needs to be reasonably constructed; when the line passes through a river, the direction of the path is kept as vertical as possible to the flowing direction of river water, and the like
Step S2, analyzing and optimizing the manufacturing cost of the power line by using cloud computing;
in the step S2, a specific method of analyzing and optimizing the manufacturing cost of the power line by using cloud computing is as follows:
step S201, calculating a line cost: counting the number of straight lines and the number of bends in the power line, respectively calculating the cost of multiple materials which accord with the safety coefficient, and calculating the cost performance of the multiple materials;
the conductive wire material is an important element in a power transmission line, electric energy can be transmitted to a user home by virtue of the conductive wire, and a power network is formed by virtue of the conductive wire, so that the power supply in various places is balanced, and therefore, the conductive wire material occupies a very important position in power supply of a power system, and the cost performance of the conductive material needs to be calculated.
Step S202, maintenance cost calculation: respectively calculating maintenance cost according to the type of the line material, the maintenance mode and the service life;
for areas with obvious severe weather, such as extremely cold areas, the necessity of calculating the maintenance cost is high, otherwise, the circuit line is difficult to be used in good faith.
Step S203, electric power profit calculation: and calculating the electric power yield generated by the electric power line according to the number of households radiated by the electric power line, the household power consumption and the loss amount.
And performing overall calculation on the power income and the cost to obtain the real cost of the power line, wherein the real cost is used as a reference standard for planning the power line.
And step S3, analyzing and protecting the human environment of the power line construction site by using cloud computing.
In the step S3, the specific manner of analyzing and protecting the human environment of the power line construction site by using cloud computing is as follows:
step S301, marking a protection place: marking historical historic sites and schools in a GIS three-dimensional modeling map to remind a construction party of avoiding;
step S302, marking avoidance time: and marking time points needing to be avoided in the off-duty peak road sections of schools and residential buildings in the GIS three-dimensional modeling map so as to remind a construction party to reasonably plan the construction time and avoid prolonging the construction time limit.
The knowledge of the local natural and human environments is enhanced through the labels, the pollution and the damage to the local environments are reduced as much as possible, and the influence on the construction period of the power line caused by unnecessary disputes is avoided.
The engineering design system comprises a power line monitoring wireless sensor network 1, a cloud computing background server 2 and a mobile terminal 3,
the power line monitoring wireless sensor 1 is used for acquiring climate data and geographic data of GIS modeling in a power line planning range through a network and sending the acquired monitoring data to the cloud computing background server;
the cloud computing background server 2 is used for performing GIS three-dimensional modeling, cost computing and route planning computing, a large data distributed system with high-performance parallel computing capability is constructed by combining a plurality of computing hosts and servers by taking a MapReduce computing model as a framework, and data analysis of monitoring data on the large data distributed system can be cut into the number of small tasks with the same number as the number of the computing hosts and distributed to each computing host and server for parallel execution so as to improve the computing efficiency.
And the mobile terminal 3 is used for accessing the cloud computing background server and checking the monitoring data of the power line in real time.
The cloud computing background server 1 comprises a data communication unit, a data analysis processing unit and a data storage unit, wherein the data communication unit is connected with the data analysis processing unit, and the data analysis processing unit is connected with the data storage unit.
The engineering design system further comprises a monitoring terminal 4 used for collecting the power line video stream, and the monitoring terminal is connected with the cloud computing background server 2 through a communication network.
The wireless sensor network of power line monitoring wireless sensor 1 network for clustering structure, including being used for gathering the power line monitoring node of monitoring data, the cluster head node that is used for collecting the power line monitoring data that power line monitoring node sent in the cluster, still include the basic station, this cluster head node transmits to the basic station after fusing the power line monitoring data of self collection and the power line monitoring data of collection, and then sends the power line monitoring data of collection to cloud computing backstage server through the basic station.
When the power line monitoring wireless sensor 1 network carries out cluster head node election, the following steps are specifically executed:
(1) randomly selecting a number of the power line monitoring nodes from 0 to 1, and if the randomly selected number is smaller than a corresponding set threshold value, selecting the power line monitoring node as a temporary cluster head node;
(2) and if the residual energy of one temporary cluster head node is greater than all the neighboring temporary cluster head nodes, the temporary cluster head node automatically becomes a real cluster head node, otherwise, the cluster head node is abandoned for election.
Further, a clustering routing strategy is adopted, wherein a cluster radius calculation formula is set, so that the energy level weight is larger or the cluster radius corresponding to the cluster head node far away from the base station is larger, and the power transmission line monitoring node selects a proper cluster head node according to the cluster radius, so that the cluster head node with the larger energy level weight can take on more power transmission line monitoring data transmission tasks, and the cluster head node close to the base station can save more energy for forwarding power transmission line monitoring data among clusters, thereby effectively prolonging the life cycle of the wireless sensor network.
Monitoring data acquired by the power line monitoring wireless sensor 1 through a network are transmitted to a cloud computing background server 2 storage for storage.
The resource sharing, virtualization, expandability and the like of the cloud computing background server improve the compatibility of the monitoring system, the monitoring data of the power transmission line are analyzed, processed and stored through the cloud computing background server, the investment and maintenance of part of software and hardware of the monitoring system are reduced, the cost is saved, the reliability of the system is improved, the resources of the cloud computing background server are fully utilized, and the sharing of the monitoring data of the power transmission line is realized.
The method and the device utilize the cloud computing technology to carry out GIS three-dimensional modeling on the line planning, have high visualization degree, high cost analysis and high route planning calculation rate, and can comprehensively and efficiently obtain monitoring data required by GIS modeling when the power line monitoring wireless sensor network for collecting information adopts cluster head node election, so as to improve the accuracy and the reasonability of the power line planning.
The above embodiments are only exemplary embodiments of the present application, and are not intended to limit the present application, and the protection scope of the present application is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present application and such modifications and equivalents should also be considered to be within the scope of the present application.
Claims (10)
1. A method for applying a cloud computing technology to engineering design is characterized by comprising the following steps: the method comprises the following steps:
step S1, analyzing and optimizing the safety environment of the power line by using cloud computing;
step S2, analyzing and optimizing the manufacturing cost of the power line by using cloud computing;
and step S3, analyzing and protecting the human environment of the power line construction site by using cloud computing.
2. The method applied to engineering design by using cloud computing technology according to claim 1, wherein: in the step S1, a specific manner of analyzing and optimizing the security environment of the power line by using cloud computing is as follows:
step S101, planning a power line: the cloud computing is utilized to carry out GIS three-dimensional modeling map to obtain all power lines of a power line area, the distance, the bending number and the bending degree of the power lines are computed, and proper power lines are selected to be displayed in the GIS three-dimensional modeling map according to the construction difficulty and the construction cost;
step S102, planning a route laying material: selecting corresponding paving materials according to the number of straight lines and the number of bends of the power line, and marking in a GIS three-dimensional modeling map;
step S103, avoiding severe weather: and establishing a climate data table according to a large amount of cloud climate data by using a machine learning algorithm, and marking in a GIS three-dimensional modeling map so as to adjust the trend of the power line in real time and obtain the optimal power line planning.
3. The method for engineering design by cloud computing technology according to claim 2, wherein: in the step S2, a specific method of analyzing and optimizing the manufacturing cost of the power line by using cloud computing is as follows:
step S201, calculating a line cost: counting the number of straight lines and the number of bends in the power line, respectively calculating the cost of multiple materials which accord with the safety coefficient, and calculating the cost performance of the multiple materials;
step S202, maintenance cost calculation: respectively calculating maintenance cost according to the type of the line material, the maintenance mode and the service life;
step S203, electric power profit calculation: and calculating the electric power yield generated by the electric power line according to the number of households radiated by the electric power line, the household power consumption and the loss amount.
4. The method applied to engineering design by using cloud computing technology as claimed in claim 3, wherein: in the step S3, the specific manner of analyzing and protecting the human environment of the power line construction site by using cloud computing is as follows:
step S301, marking a protection place: marking historical historic sites and schools in a GIS three-dimensional modeling map to remind a construction party of avoiding;
step S302, marking avoidance time: and marking time points needing to be avoided in the off-duty peak road sections of schools and residential buildings in the GIS three-dimensional modeling map so as to remind a construction party to reasonably plan the construction time and avoid prolonging the construction time limit.
5. The method applied to engineering design by using cloud computing technology as claimed in claim 4, wherein: comprises an engineering design system, the engineering design system comprises a power line monitoring wireless sensor network (1), a cloud computing background server (2) and a mobile terminal (3),
the power line monitoring wireless sensor (1) is used for acquiring climate data and geographic data of GIS modeling in a power line planning range through a network and sending the acquired monitoring data to the cloud computing background server;
the cloud computing background server (2) is used for performing GIS three-dimensional modeling, cost computing and route planning computing, a large data distributed system with high-performance parallel computing capability is constructed by combining a plurality of computing hosts and servers by taking a MapReduce computing model as a framework, and data analysis on monitoring data is performed on the large data distributed system, so that the monitoring data can be cut into the number of small tasks with the same number as the number of the computing hosts, and the small tasks are distributed to the computing hosts and the servers to be executed in parallel to improve the computing efficiency;
and the mobile terminal (3) is used for accessing the cloud computing background server and checking the monitoring data of the power line in real time.
6. The method applied to engineering design by using cloud computing technology according to claim 5, wherein: the cloud computing background server (1) comprises a data communication unit, a data analysis processing unit and a data storage unit, wherein the data communication unit is connected with the data analysis processing unit, and the data analysis processing unit is connected with the data storage unit.
7. The method applied to engineering design by using cloud computing technology according to claim 6, wherein the engineering design system further comprises a monitoring terminal (4) for collecting power line video streams, and the monitoring terminal is connected with the cloud computing background server (2) through a communication network.
8. The method as claimed in claim 7, wherein the power line monitoring wireless sensor network is a wireless sensor network with a cluster structure, and includes power line monitoring nodes for collecting the monitoring data, cluster head nodes for collecting power line monitoring data sent by the power line monitoring nodes in the cluster, and a base station, wherein the cluster head nodes transmit the collected power line monitoring data and the collected power line monitoring data to the base station after fusing, and then send the collected power line monitoring data to the cloud computing background server through the base station.
9. The method applied to engineering design by using cloud computing technology according to claim 8, wherein when the power line monitoring wireless sensor (1) network performs cluster head node election, the following steps are specifically performed:
randomly selecting a number of the power line monitoring nodes from 0 to 1, and if the randomly selected number is smaller than a corresponding set threshold value, selecting the power line monitoring node as a temporary cluster head node;
and if the residual energy of one temporary cluster head node is greater than all the neighboring temporary cluster head nodes, the temporary cluster head node automatically becomes a real cluster head node, otherwise, the cluster head node is abandoned for election.
10. The method applied to engineering design by using cloud computing technology is characterized in that monitoring data acquired by the power line monitoring wireless sensor (1) network is transmitted to a cloud computing background server (2) memory for storage.
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