CN115567397A - Cloud deployment method of integrated platform system of hydropower centralized control center - Google Patents
Cloud deployment method of integrated platform system of hydropower centralized control center Download PDFInfo
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Abstract
The invention provides a cloud deployment method of a hydropower centralized control center integrated platform system, and belongs to the technical field of hydropower station automatic control. The method comprises the following steps: building a virtual machine sub-module of each system module; issuing a virtual machine according to the constructed virtual machine submodule, and configuring a virtualization network; according to the information of the hydropower station, each system module is configured by using a virtual network, so that communication between each cascade hydropower station is realized; fusing the configured system modules according to the fusion requirement of the integrated platform of the water and electricity centralized control center; and displaying the fused picture and the data of each hydropower station by using the terminal to complete cloud deployment. The invention solves the problem of long deployment period in the prior art.
Description
Technical Field
The invention belongs to the technical field of automatic control of hydropower stations, and particularly relates to a cloud deployment method of a hydropower centralized control center integrated platform system.
Background
With the construction of domestic hydropower plants and the development of computer technology, the centralized control of hydropower stations in the same basin is taken as an efficient unified management mode, the development is very rapid, and the safe and reliable operation of equipment in the centralized control center of the hydropower stations has very important significance.
The method generally adopted for deploying the hydropower station centralized control center system module is to collect and transmit data by means of hardware and independent networks provided by various system module manufacturers. There are two main limitations to this type of deployment approach: firstly, the hardware that every system module producer provided all reaches a whole face dish cabinet, and the aspect cost such as purchase, construction and maintenance is higher, if the central control center increases system module newly, whole deployment cycle can be very long. Secondly, each module is an independent system, the monitoring screen of the operator needs to be switched among different systems, and the operator needs to be familiar with the use of each system module, which also increases the operation cost.
At present, a method for deploying modules of a hydropower station centralized control center system is used for integrating a software platform of a monitoring system with other system modules to realize the construction of a software integrated platform. Although this method allows the operator to monitor the system modules in the same system, it has two major disadvantages: on one hand, the traditional thermal equipment is still used, and if a single piece of equipment is down, the difficulty of recovering the hot standby state is higher; on one hand, hardware provided by each system module manufacturer is as much as a whole panel cabinet, so that the cost is higher in the aspects of purchase, construction, maintenance and the like, and if a system module is newly added to the centralized control center, the whole deployment period is very long.
Disclosure of Invention
Aiming at the defects in the prior art, the cloud deployment method of the integrated platform system of the water and electricity centralized control center provided by the invention solves the problem of long deployment period in the prior art.
In order to achieve the above purpose, the invention adopts the technical scheme that:
the scheme provides a cloud deployment method of a hydropower centralized control center integrated platform system, which comprises the following steps:
s1, building a virtual machine sub-module of each system module;
s2, issuing a virtual machine according to the constructed virtual machine submodule, and configuring a virtualization network;
s3, configuring each system module by using a virtual network according to the information of the hydropower station to realize communication between each cascade hydropower station;
s4, fusing the configured system modules according to the fusion requirements of the integrated platform of the hydropower centralized control center;
and S5, displaying the fused picture and the data of each hydropower station by using the terminal to complete cloud deployment.
Further, the step S1 includes the steps of:
s101, receiving a virtual machine application request instruction sent by a terminal;
s102, calculating the residual resources of each system module according to the request instruction;
s103, judging whether the residual physical resources of the physical host meet the requirements of the currently applied virtual machine, if so, entering a step S104, otherwise, adding the physical resources, adding the added physical resources into the residual resource set, and entering the step S104;
and S104, setting a deployment strategy of the virtual machine according to the judgment result, and constructing a sub-module of the virtual machine according to the deployment strategy.
Still further, the step S104 includes the steps of:
s1041, carrying out particle coding on each request command, and randomly generating N particles as an initial population;
s1042, adding the global optimal solution into the archive set of the initial population according to the judgment result;
s1043, performing variation operation on the population to obtain optimal particles;
s1044, searching a global optimal solution update filing set according to the optimal particles;
s1045, updating the speed and the position of the particle swarm;
s1046, calculating the crowding degree of the particle swarm in the archive set according to the updating result to control the size of the archive set;
s1047, judging whether an iteration condition is met, if so, entering a step S1048, otherwise, returning to the step S1041;
and S1048, outputting the archive set, forming a deployment strategy of the virtual machine, and constructing a sub-module of the virtual machine according to the deployment strategy.
Still further, the speed and position expression of the update particle swarm is as follows:
V k+1 ＝ωV k +c 1 (pbest k -x k )+c 2 (gbest k -x k )
x k+1 ＝x k +v k
wherein, V k+1 And x k+1 Respectively representing the updated particle velocity and position, V k Representing the velocity component, x, of the current iteration V k Representing a position component, pbest, at the respective position of the corresponding particle X k Representing the component at the corresponding position of the optimum particle, gbest k Representing the component of the random particle in the archive set, ω representing the inertia factor, c 1 And c 2 All represent learning factors.
Still further, the expression of the congestion degree is as follows:
wherein, PCD (P) k ) Representing particles in an archive set, P k+1 And P k-1 Respectively represent P k Particles on two adjacent sides, m represents the total fitness function number, i represents the fitness function number, F i max And F i min Respectively representing the maximum value and the minimum value of the ith fitness function in the particle swarm.
Still further, the step S2 includes the steps of:
s201, issuing an integrated platform virtual machine and a system module virtual machine according to the constructed virtual machine sub-module;
s202, respectively recording Mac addresses of the integrated platform virtual machine and the system module virtual machine;
s203, based on the recorded Mac address, configuring an IP and routing to a virtualized network according to an IP planning table;
s204, establishing communication connection between the configured virtual network and the network equipment to complete the configuration of the virtual network.
Still further, the step S3 includes the steps of:
s301, respectively acquiring information of the hydropower stations and information of each step hydropower station;
s302, configuring programs in each system module by using a virtual network according to the information of the hydropower stations and the information of each cascade hydropower station;
and S303, establishing communication between the integrated platform of the hydropower centralized control center and each step hydropower station based on the system module with the configured program.
The invention has the beneficial effects that:
(1) The integrated platform of the hydropower centralized control center is deployed in a cloud mode, firstly, a virtual machine module is constructed by using a particle algorithm, then communication connection is established between each cascade hydropower station and the hydropower station centralized control center based on the virtual machine sub-module, and meanwhile, rapid deployment is carried out according to an integrated platform SDK development fusion picture, so that the problem of long deployment period in the prior art is solved.
(2) The invention can enhance the performance of the system by reasonably deploying the virtual machines by using the particle algorithm, improve the resource utilization rate, improve the fault tolerance and save energy.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a schematic block diagram of cloud deployment of a platform system integrated with a hydroelectric centralized control center in this embodiment.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined by the appended claims, and all changes that can be made by the invention using the inventive concept are intended to be protected.
Examples
As shown in fig. 1, the invention provides a cloud deployment method of a hydropower centralized control center integrated platform system, which is implemented as follows:
s1, constructing a virtual machine sub-module of each system module, wherein the implementation method comprises the following steps:
s101, receiving a virtual machine application request instruction sent by a terminal;
s102, calculating the residual resources of each system module according to the request instruction;
s103, judging whether the residual physical resources of the physical host meet the requirements of the currently applied virtual machine, if so, entering a step S104, otherwise, adding the physical resources, adding the added physical resources into the residual resource set, and entering the step S104;
s104, setting a deployment strategy of the virtual machine according to the judgment result, and constructing a sub-module of the virtual machine according to the deployment strategy, wherein the implementation method comprises the following steps:
s1041, carrying out particle coding on each request instruction, and randomly generating N particles as an initial population;
s1042, adding the global optimal solution into the archive set of the initial population according to the judgment result;
s1043, performing variation operation on the population to obtain optimal particles;
s1044, searching a global optimal solution update filing set according to the optimal particles;
s1045, updating the speed and the position of the particle swarm;
s1046, calculating the crowdedness of the particle swarm in the archive set according to the updating result to control the size of the archive set;
s1047, judging whether an iteration condition is met, if so, entering a step S1048, otherwise, returning to the step S1041;
and S1048, outputting the archive set, forming a deployment strategy of the virtual machine, and constructing a sub-module of the virtual machine according to the deployment strategy.
The speed and position expression of the update particle swarm is as follows:
V k+1 ＝ωV k +c 1 (pbest k -x k )+c 2 (gbest k -x k )
x k+1 ＝x k +v k
wherein, V k+1 And x k+1 Respectively representing the updated particle velocity and position, V k Representing the velocity component, x, of the current iteration V k Representing a position component, pbest, at a respective position of the corresponding particle X k Representing the component at the corresponding position of the optimum particle, gbest k Representing the component of random particles in the archive set, ω representing an inertia factor, c 1 And c 2 All represent learning factors;
the expression of the congestion degree is as follows:
wherein, PCD (P) k ) To representFiling of particles in a set, P k+1 And P k-1 Respectively represent P k Particles on two adjacent sides, m represents the total number of fitness functions, i represents the number of the fitness functions, and F i max And F i min Respectively representing the maximum value and the minimum value of the ith fitness function in the particle swarm.
In this embodiment, the establishing of the virtual machine sub-module of the system module further includes: determining the hardware resources of the virtual machine template, including the number of CPU cores, the size of a memory, the size of a system disk and the like, and determining the software resources of the virtual machine template, including an operating system version, a scratch book, a database version, common software and the like.
S2, issuing the virtual machine according to the constructed virtual machine submodule, and configuring a virtual network, wherein the implementation method comprises the following steps:
s201, issuing an integrated platform virtual machine and a system module virtual machine according to the constructed virtual machine sub-module;
s202, respectively recording Mac addresses of the integrated platform virtual machine and the system module virtual machine;
s203, configuring an IP and routing to a virtualized network according to the IP planning table based on the recorded Mac address;
s204, establishing communication connection between the configured virtual network and the network equipment to complete the configuration of the virtual network.
In this embodiment, as shown in fig. 2, the virtual machines are issued, a specified number of virtual machines are issued in different safety production areas according to the needs of system modules, and Mac addresses of the virtual machines are recorded, so that activation of an operating system is facilitated. And configuring a virtual network, and configuring IP, a route and relevant safety equipment outside the cloud, such as an isolating device and the like according to the IP planning table of the centralized control center.
S3, configuring each system module by using a virtual network according to the information of the hydropower station to realize the communication between each cascade hydropower station, wherein the realization method comprises the following steps:
s301, respectively acquiring information of the hydropower stations and information of each step hydropower station;
s302, configuring programs in each system module by using a virtual network according to the information of the hydropower stations and the information of each cascade hydropower station;
and S303, establishing communication between the integrated platform of the hydropower centralized control center and each step hydropower station based on the system module with the configured program.
In this embodiment, as shown in fig. 2, the configuration of the system modules is adjusted according to actual conditions to complete fusion, and programs in the system modules are configured according to information such as the specifications and the point tables of 5 hydropower stations to complete communication tests of the cascade hydropower stations.
S4, fusing the configured system modules according to the fusion requirements of the integrated platform of the hydropower centralized control center;
and S5, displaying the fused picture and the data of each hydropower station by using the terminal to complete cloud deployment.
In this embodiment, the configuration of the system modules is adjusted according to actual conditions to complete fusion, programs in the system modules are configured according to information such as the number, communication protocols and point tables of each step power station, communication tests between the hydropower centralized control center and each step power station are completed, and each system module performs software development according to the integrated platform SDK to realize picture fusion. For example, the cloud terminals are arranged on 30 monitoring seats, and an operator can see a picture of the integrated platform after the system module is fused through the terminals.
Claims (7)
1. A cloud deployment method of a hydropower centralized control center integrated platform system is characterized by comprising the following steps:
s1, constructing virtual machine sub-modules of each system module;
s2, issuing a virtual machine according to the constructed virtual machine submodule, and configuring a virtualization network;
s3, configuring each system module by using a virtual network according to the information of the hydropower station to realize communication with each cascade hydropower station;
s4, fusing the configured system modules according to the fusion requirements of the integrated platform of the hydropower centralized control center;
and S5, displaying the fused picture and the data of each hydropower station by using the terminal to complete cloud deployment.
2. The cloud deployment method of the integrated platform system of the hydropower centralized control center according to claim 1, wherein the step S1 comprises the following steps:
s101, receiving a virtual machine application request instruction sent by a terminal;
s102, calculating the residual resources of each system module according to the request instruction;
s103, judging whether the residual physical resources of the physical host meet the requirements of the currently applied virtual machine, if so, entering a step S104, otherwise, adding the physical resources, adding the added physical resources into the residual resource set, and entering the step S104;
and S104, setting a deployment strategy of the virtual machine according to the judgment result, and constructing a sub-module of the virtual machine according to the deployment strategy.
3. The cloud deployment method of a hydroelectric centralized control center integrated platform system according to claim 2, wherein the step S104 comprises the steps of:
s1041, carrying out particle coding on each request command, and randomly generating N particles as an initial population;
s1042, adding the global optimal solution into the archive set of the initial population according to the judgment result;
s1043, performing variation operation on the population to obtain optimal particles;
s1044, searching a global optimal solution update filing set according to the optimal particles;
s1045, updating the speed and the position of the particle swarm;
s1046, calculating the crowdedness of the particle swarm in the archive set according to the updating result to control the size of the archive set;
s1047, judging whether an iteration condition is met, if so, entering a step S1048, otherwise, returning to the step S1041;
and S1048, outputting the archive set, forming a deployment strategy of the virtual machine, and constructing a sub-module of the virtual machine according to the deployment strategy.
4. The cloud deployment method of a hydroelectric centralized control center integrated platform system according to claim 3, wherein the speed and position expressions of the update particle swarm are as follows:
V k+1 ＝ωV k +c 1 (pbest k -x k )+c 2 (gbest k -x k )
x k+1 ＝x k +v k
wherein, V k+1 And x k+1 Respectively representing the updated particle velocity and position, V k Representing the velocity component, x, of the current iteration V k Representing a position component, pbest, at the respective position of the corresponding particle X k Representing the component at the corresponding position of the optimum particle, gbest k Representing the component of random particles in the archive set, ω representing an inertia factor, c 1 And c 2 Both represent learning factors.
5. The cloud deployment method of the integrated platform system of the hydropower centralized control center according to claim 3, wherein the expression of the crowdedness is as follows:
wherein, PCD (P) k ) Representing particles in an archive set, P k+1 And P k-1 Respectively represent P k The particles on two adjacent sides, m represents the total number of fitness functions, i represents the number of the fitness functions,
and
respectively representing the maximum value and the minimum value of the ith fitness function in the particle swarm.
6. The cloud deployment method of the integrated platform system of the hydropower centralized control center according to claim 1, wherein the step S2 comprises the following steps:
s201, issuing an integrated platform virtual machine and a system module virtual machine according to the constructed virtual machine sub-module;
s202, respectively recording Mac addresses of the integrated platform virtual machine and the system module virtual machine;
s203, configuring an IP and routing to a virtualized network according to the IP planning table based on the recorded Mac address;
s204, establishing communication connection between the configured virtual network and the network equipment to complete the configuration of the virtual network.
7. The cloud deployment method of a hydroelectric centralized control center integrated platform system according to claim 1, wherein the step S3 comprises the steps of:
s301, respectively acquiring information of the hydropower stations and information of each step hydropower station;
s302, configuring programs in each system module by using a virtual network according to the information of the hydropower stations and the information of each cascade hydropower station;
and S303, establishing communication between the integrated platform of the hydropower centralized control center and each step hydropower station based on the system module with the configured program.
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