CN112330096A - Method, system and related equipment for distributing multidimensional power basic resources - Google Patents
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Abstract
One or more embodiments of the present specification provide a method, a system and related devices for allocating multidimensional power base resources, the method comprising: collecting data information of tower resources, station resources, optical cable resources and bandwidth resources; selecting a central point of tower resources, and calculating an average value of distances between all towers of the tower resources and the central point; correlating the site information of the site resources by using a Pearson correlation coefficient; calculating the power sum of the full-order NSNI of the optical cable resource; discretizing the signals of the bandwidth resources; and performing mathematical modeling on the uniform resource distribution to obtain a resource distribution mathematical model, solving an optimal solution of the resource distribution mathematical model by using a Lagrange multiplier method, and distributing the multi-dimensional power basic resources according to the optimal solution. And the optimal distribution of the power basic resource data is realized by utilizing an effective resource distribution algorithm through the coordination and the coordination of the characteristic parameters of each resource.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of power technologies, and in particular, to a method, a system, and a related device for allocating multidimensional power basic resources.
Background
The power grid is an important basic resource related to national civilization, and after decades of construction and development, national power grid companies have abundant power basic resources such as cable channels, overhead lines, power towers, station sites, bandwidths, optical cables and the like. In order to realize higher commercial value and social value of the power basic resource and the power communication resource, the data of different types of multiple dimensions are considered to be fused and distributed.
In the prior art, according to the change condition of various input power basic resources, the main characteristics of each item of data are effectively extracted by utilizing nonlinear mapping, and then the optimization is carried out by utilizing the structure of a BP (back propagation) neural network. However, modeling the power basic resources by using the neural network requires a large amount of data, and information acquisition and management are respectively organized, so that it is difficult for the power operation department to comprehensively, real-timely and accurately grasp the condition of the power basic resources in the area, and thus data fusion cannot be effectively performed on tower resources, site resources, optical cable resources and bandwidth resources, and finally, optimal configuration cannot be performed on the multidimensional power basic resources.
Disclosure of Invention
In view of this, one or more embodiments of the present disclosure provide a method, a system, and a related device for allocating multidimensional power base resources, so as to solve the problem that the multidimensional power base resources cannot be optimally configured due to the inability to efficiently perform data consolidation on tower resources, site resources, optical cable resources, and bandwidth resources.
In view of the above, one or more embodiments of the present specification provide a method for allocating multidimensional power base resources, including:
collecting characteristic data information of tower resources, station resources, optical cable resources and bandwidth resources, wherein the characteristic data information comprises positions of all towers, positions of all stations, power of an optical cable, frequency, amplitude and time constant of bandwidth;
selecting the central points of all the towers, and calculating the average value of the distances between all the towers and the central points according to the positions of all the towers;
according to the positions of all the station addresses, correlating the position information of all the station addresses by using a Pearson correlation coefficient;
calculating the power sum of the full-order NSNI of the optical cable resource according to the power of the optical cable;
discretizing the signals of the bandwidth resources according to the frequency, the amplitude and the time constant of the bandwidth;
and establishing a resource distribution mathematical model according to the average value of the distances between all the towers and the central point, the Pearson correlation coefficient of the site positions, the power sum of the full-order NSNI of the optical cable resources and the discretized bandwidth resource signals, solving the optimal solution of the resource distribution mathematical model by using a Lagrange multiplier method, and distributing the multi-dimensional power basic resources according to the optimal solution of the resource distribution mathematical model.
Based on the same inventive concept, one or more embodiments of the present specification further provide a system for allocating multidimensional power base resources, including:
a data acquisition module: the system comprises a data acquisition module, a data acquisition module and a data acquisition module, wherein the data acquisition module is configured to acquire characteristic data information of tower resources, site resources, optical cable resources and bandwidth resources, and the characteristic data information comprises positions of all towers, positions of all sites, power of optical cables and frequency, amplitude and time constant of bandwidth;
pole tower resource fusion module: the method comprises the steps that the center points of all towers are selected, and the average value of the distances between all the towers and the center points is calculated according to the positions of all the towers;
a station resource fusion module: configured to correlate the location information of all the sites with a Pearson correlation coefficient according to the locations of all the sites;
the optical cable resource fusion module: configured to calculate a power sum of a full-order NSNI of a cable resource from the power of the cable;
a bandwidth resource fusion module: the system is configured to discretize signals of a bandwidth resource according to the frequency, the amplitude and the time constant of the bandwidth;
a resource allocation module: the method comprises the steps of establishing a resource distribution mathematical model according to the average value of distances between all towers and a central point, the Pearson correlation coefficient of the site position, the power sum of the full-order NSNI of the optical cable resource and a discretized bandwidth resource signal, solving the optimal solution of the resource distribution mathematical model by using a Lagrange multiplier method, and distributing the multi-dimensional power basic resource according to the optimal solution of the resource distribution mathematical model.
Based on the same inventive concept, one or more embodiments of the present specification further provide an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the method as described in any one of the above items when executing the program.
Based on the same inventive concept, one or more embodiments of the present specification also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method as any one of the above.
As can be seen from the foregoing, in the method, the system, and the related device for allocating multi-dimensional power basic resources provided in one or more embodiments of the present disclosure, in the face of complex and high-coupling power basic resources, various power basic resources are configured uniformly, so as to obtain an optimal allocation method for multi-dimensional power basic resources, which can effectively allocate the multi-dimensional power basic resources, and implement efficient integration and utilization of the multi-dimensional power basic resources.
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In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only one or more embodiments of the present specification, and that other drawings may be obtained by those skilled in the art without inventive effort from these drawings.
FIG. 1 is a flow diagram of a method for allocating a multi-dimensional power base resource according to one or more embodiments of the present disclosure;
FIG. 2 is a flow chart of a method for allocating a multi-dimensional power base resource according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of an apparatus for allocating a multi-dimensional power base resource according to one or more embodiments of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to one or more embodiments of the present disclosure.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
As described in the background section, the existing method for allocating the multi-dimensional power base resource is also difficult to satisfy the requirement of performing the optimal configuration on the multi-dimensional power base resource effectively. In implementing the present disclosure, the applicant finds that the main problems of the existing multidimensional power base resource allocation method are as follows: coupling relations exist between every two electric power basic resources and between multiple pieces of information, and modeling becomes more difficult due to diversified conditions; when the data of the multidimensional power basic resource is fused by using the neural network, a large amount of data of tower resources, station resources, optical cable resources and bandwidth resources are needed, but the data types of the resources are many, the time scale is large, the mining difficulty is large, and the multidimensional power basic resource cannot be effectively configured.
In view of the above, referring to fig. 1, one or more embodiments of the present specification provide a method for allocating a multidimensional power base resource, including the following steps:
step S101, collecting characteristic data information of tower resources, site resources, optical cable resources and bandwidth resources, wherein the characteristic data information comprises positions of all towers, positions of all sites, power of optical cables, frequency, amplitude and time constant of bandwidth.
And S102, selecting the central points of all the towers, and calculating the average value of the distances between all the towers and the central points according to the positions of all the towers.
And step S103, correlating the position information of all the sites by using a Pearson correlation coefficient according to the positions of all the sites.
And step S104, calculating the power sum of the full-order NSNI of the optical cable resource according to the power of the optical cable.
In this step, NSNI refers to a nonlinear signal-noise interaction. With the development of informatization, the power communication network layout is coupled with power enterprise users, and in order to realize power plant scheduling, the data of power optical cable resources generally adopts a nonlinear coherent enhanced gaussian noise model, and for a coherent optical fiber transmission system with nonlinear interaction between signals, the system performance is mainly limited by the influence of uncertainty effects, such as nonlinear signal-noise interaction NSNI. In order to reduce the influence caused by uncertainty, a model is established for the transmission damage in the optical fiber communication system, and the model comprises a first-order NSNI effect, wherein the first-order effect refers to the interaction between a signal and linear spontaneous radiation noise.
And S105, discretizing the signals of the bandwidth resources according to the frequency, the amplitude and the time constant of the bandwidth.
Step S106, establishing a resource distribution mathematical model according to the average value of the distances between all the towers and the central point, the Pearson correlation coefficient of the site position, the power sum of the full-order NSNI of the optical cable resource and the bandwidth resource signal subjected to discretization processing, solving the optimal solution of the resource distribution mathematical model by using a Lagrange multiplier method, and distributing the multi-dimensional power basic resource according to the optimal solution of the resource distribution mathematical model.
It can be seen that in the distribution method of the multidimensional power base resource according to one or more embodiments of the present description, the characteristic data of the tower resource, the site resource, the optical cable resource, and the bandwidth resource are collected and coordinated and fused, mathematical modeling is performed according to the distribution problem of the tower resource, the site resource, the optical cable resource, and the bandwidth resource, and finally, an optimal solution is obtained by a lagrangian multiplier method, so that the multidimensional power base resource is optimally distributed.
The technical solutions of one or more embodiments of the present specification are described in detail below with reference to specific embodiments.
Referring to fig. 2, a method for allocating multidimensional power base resources according to an embodiment of the present specification specifically includes the following steps:
step S201, collecting characteristic data of the electric power basic resource.
In this step, the collected characteristic data includes: the positions of all towers, the positions of all sites, the power of the optical cable, and the frequency, amplitude and time constant of the bandwidth. For example, the method for collecting the characteristic data can collect the characteristic data of the power basic resource by using a novel internet of things technology and a power wireless private network technology.
And S202, storing the collected characteristic data.
For example, the acquired data can be stored by using a distributed storage system based on Hadoop, and Hadoop has the advantages that: hadoop has high reliability of the capability of storing and processing data according to bits; hadoop distributes data through available computer clusters to complete storage and calculation tasks, and the clusters can be conveniently expanded into thousands of nodes and have high expansibility; the Hadoop can dynamically move data among the nodes, ensures the dynamic balance of each node, and has very high processing speed and high efficiency; hadoop can automatically save multiple copies of data, can automatically redistribute failed tasks, and has high fault tolerance.
And S203, respectively carrying out data fusion on the pole tower resource, the station site resource, the optical cable resource and the bandwidth resource according to the collected characteristic data.
In this step, since the tower resources are widely distributed, the position distribution data of the tower resources also needs to be managed uniformly, so that the central point of one tower is selected, the central point is diverged outwards, the average value of the distances between the positions of all the towers and the central point is calculated and recorded as the average value
The algorithm is as follows:
wherein x isi,yiRespectively the horizontal and vertical coordinates of the tower,
the horizontal and vertical coordinates, W (P), of the center pointi) Are weights.
In order to facilitate the same maintenance of the site resources and reduce the management cost, the site information of the site resources is correlated by adopting a Pearson correlation coefficient according to the positions of all collected sites, and the correlation coefficient is recorded as rhoXYThe algorithm is as follows:
wherein cov (X, Y) represents the covariance between X and Y, X represents the information of the abscissa of all participating sites, Y represents the information of the ordinate of all participating sites, σ representsX,σYIndividual watchShows the variance, X, of X, Yi，YiRespectively the abscissa and ordinate of the site, muXAnd muYRespectively indicating X, Y expectations and L indicates the selected L sites.
The data of the optical cable resource generally adopts a nonlinear coherent enhanced Gaussian noise model, and in order to calculate the influence of the overall power on the model, the sum of the power of full-order NSNI is required to be obtained, and a signal P is obtainedsAnd ASE noise PASEAlong (N)s-n) spans are jointly transmitted, the power that produces the first order NSNI effect in each span is noted as
The total power of the full-order NSNI is obtained according to the collected power of the optical cable and recorded as
The algorithm is as follows:
wherein the content of the first and second substances,
power of m-order NSNI effect, NsFor the number of spans in a link, NBFor the total number of spans in the link, m is the order and n represents the sequence.
The frequency conversion processing and intermediate frequency digital sampling of signals in bandwidth resources, regardless of signal amplitude, the received signals are denoted as S (t), and the algorithm is as follows:
S(t)＝exp[jπk(t-τ)2+jψ]
discretizing the signal, denoted as s (q), with the algorithm:
where τ is the time interval, ψ is the phase angle, fsFor frequency, A is amplitude, q is discrete sequenceThe value, N is the period of the periodic sequence, t represents time, j is the imaginary unit representing the frequency domain, and k is the unit of count.
Step S204, performing mathematical modeling on the unified resource allocation of the pole tower resources, the station resources, the optical cable resources and the bandwidth resources to obtain a resource allocation mathematical model.
In the step, in the design of uniformly distributing the tower resources, the station resources, the optical cable resources and the bandwidth resources, the resources of different levels need to be considered, so when the cross-layer resource distribution is designed, the resources are abstractly modeled by adopting a mathematical modeling method to obtain a resource distribution mathematical model denoted as f0(x) The algorithm is as follows:
wherein, Bj，PjFor discretized processed bandwidth resource signals, WiA matrix V representing the sum of the power of the Pearson correlation coefficient of the site positions and the full-order NSNI of the optical cable resource and containing the average value of the distances between all the towers and the central pointiAnd UjIs a utility function.
And S205, obtaining an optimal solution of the resource allocation mathematical model by using a Lagrange multiplier method, and allocating the multi-dimensional power basic resources according to the optimal solution of the resource allocation mathematical model.
In this step, when solving the optimal solution of the resource allocation mathematical model, the optimization target is the weighted sum of the utility functions, so the lagrangian multiplier method is adopted to perform unified configuration on the pole tower resources, the site resources, the optical cable resources and the bandwidth resources, and the algorithm is as follows:
min f0(x)
wherein f isi(x) And hj(x) An inequality constraint function and an equality constraint function, respectively.
It can be seen that, in this embodiment, the feature data of the tower resource, the site resource, the optical cable resource, and the bandwidth resource is collected, the collected feature data is stored, and the feature data of the tower resource, the site resource, the optical cable resource, and the bandwidth resource is subjected to data fusion. And designing a resource allocation mathematical model according to the allocation problem of the power resources, and solving the optimal solution of the resource allocation mathematical model by a Lagrange multiplier method so as to obtain an optimal allocation method of the power basic resources, thereby effectively allocating each basic resource and realizing the efficient integration and utilization of the power basic resources.
It should be noted that the method of one or more embodiments of the present disclosure may be performed by a single device, such as a computer or server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may perform only one or more steps of the method of one or more embodiments of the present disclosure, and the devices may interact with each other to complete the method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Based on the same inventive concept, one or more embodiments of the present specification further provide an apparatus for allocating a multidimensional power base resource, which, with reference to fig. 3, includes:
the data acquisition module 301: the system is configured to collect characteristic data information of tower resources, site resources, optical cable resources and bandwidth resources, wherein the characteristic data information comprises positions of all towers, positions of all sites, power of optical cables and frequency, amplitude and time constant of bandwidth.
Pole tower resource fusion module 302: and the method is configured to select the central points of all the towers, and calculate the average value of the distances between all the towers and the central points according to the positions of all the towers.
The station resource fusion module 303: a station resource fusion module: and the system is configured to correlate the position information of all the sites by using a Pearson correlation coefficient according to the positions of all the sites.
The cable resource fusion module 304: configured to calculate a power sum of a full-order NSNI of the cable resource from the power of the cable.
Bandwidth resource fusion module 305: is configured to discretize signals of the bandwidth resources according to the frequency, amplitude and time constant of the bandwidth.
The resource allocation module 306: the method comprises the steps of establishing a resource distribution mathematical model according to the average value of distances between all towers and a central point, the Pearson correlation coefficient of the site position, the power sum of the full-order NSNI of the optical cable resource and a discretized bandwidth resource signal, solving the optimal solution of the resource distribution mathematical model by using a Lagrange multiplier method, and distributing the multi-dimensional power basic resource according to the optimal solution of the resource distribution mathematical model.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, the functionality of the modules may be implemented in the same one or more software and/or hardware implementations in implementing one or more embodiments of the present description.
The apparatus of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Based on the same inventive concept, one or more embodiments of the present specification further provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the processor implements the method for allocating the multidimensional power basic resource according to any one of the above embodiments.
Fig. 4 is a schematic diagram illustrating a more specific hardware structure of an electronic device according to this embodiment, where the electronic device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein the processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 are communicatively coupled to each other within the device via bus 1050.
The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1020 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 1020 and called to be executed by the processor 1010.
The input/output interface 1030 is used for connecting an input/output module to input and output information. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 1040 is used for connecting a communication module (not shown in the drawings) to implement communication interaction between the present apparatus and other apparatuses. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
It should be noted that although the above-mentioned device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
Computer-readable media of the present embodiments, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the spirit of the present disclosure, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present description as described above, which are not provided in detail for the sake of brevity.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
It is intended that the one or more embodiments of the present specification embrace all such alternatives, modifications and variations as fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of one or more embodiments of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (9)
1. A method for allocating multi-dimensional power base resources, comprising:
collecting characteristic data information of tower resources, station resources, optical cable resources and bandwidth resources, wherein the characteristic data information comprises positions of all towers, positions of all stations, power of an optical cable, frequency, amplitude and time constant of bandwidth;
selecting the central points of all the towers, and calculating the average value of the distances between all the towers and the central points according to the positions of all the towers;
according to the positions of all the station addresses, correlating the position information of all the station addresses by using a Pearson correlation coefficient;
calculating the power sum of the full-order NSNI of the optical cable resource according to the power of the optical cable;
discretizing the signals of the bandwidth resources according to the frequency, the amplitude and the time constant of the bandwidth;
and establishing a resource distribution mathematical model according to the average value of the distances between all the towers and the central point, the Pearson correlation coefficient of the site positions, the power sum of the full-order NSNI of the optical cable resources and the discretized bandwidth resource signals, solving the optimal solution of the resource distribution mathematical model by using a Lagrange multiplier method, and distributing the multi-dimensional power basic resources according to the optimal solution of the resource distribution mathematical model.
2. The multi-dimensional electricity infrastructure resource of claim 1, wherein the function is according to the functionCalculating the average value of the distances between all the towers and the central point at the position of the tower, and recording the average value as the distance
The algorithm is as follows:
wherein x isi,yiRespectively the horizontal and vertical coordinates of the tower,
the abscissa and ordinate of the center point, W (P)i) Are weights.
3. The method according to claim 1, wherein the position information of all the sites is related by Pearson's correlation coefficient according to the positions of all the sites, and is denoted as ρXYThe algorithm is as follows:
wherein cov (X, Y) represents the covariance between X and Y, X represents the information of the abscissa of all participating sites, Y represents the information of the ordinate of all participating sites, σ representsX,σYRespectively representing a variance, X, of X, Yi，YiRespectively the abscissa and ordinate of the site, muXAnd muYRespectively indicating X, Y expectations and L indicates the selected L sites.
4. The method according to claim 1, wherein the step of calculating the power sum of the full-order NSNI of the optical cable resource according to the power of the optical cable is denoted as
The algorithm is as follows:
wherein the content of the first and second substances,
is the power of the first order NSNI effect,
power of m-order NSNI effect, NsFor the number of spans in a link, NBFor the total number of spans in the link, m is the order and n represents the sequence.
5. The method according to claim 1, wherein the discretization process is performed on the signals of the bandwidth resource according to the frequency, amplitude and time constant of the bandwidth, and the received signals of the bandwidth resource are denoted as s (t), and the algorithm is as follows:
S(t)＝exp[jπk(t-τ)2+jψ]
the discretization processing is performed on the signals with the bandwidth resources, and is denoted as S (q), and the algorithm is as follows:
where τ is the time interval, ψ is the phase angle, fsIn terms of frequency, a is the amplitude, q is the discrete sequence value, N is the period of the periodic sequence, t represents time, j is the imaginary unit representing the frequency domain, and k is the unit of count.
6. The method of claim 1, wherein the mathematical model of resource allocation is denoted as f0(x) The algorithm is as follows:
wherein, Bj，PjFor discretized processed bandwidth resource signals, WiA matrix V representing the sum of the power of the Pearson correlation coefficient of the site positions and the full-order NSNI of the optical cable resource and containing the average value of the distances between all the towers and the central pointiAnd UjIs a utility function;
the optimal solution of the resource allocation mathematical model is solved by utilizing a Lagrange multiplier method, and the algorithm is as follows:
min f0(x)
wherein f isi(x) And hj(x) An inequality constraint function and an equality constraint function, respectively.
7. A system for allocating a multi-dimensional power base resource, comprising:
a data acquisition module: the system comprises a data acquisition module, a data acquisition module and a data acquisition module, wherein the data acquisition module is configured to acquire characteristic data information of tower resources, site resources, optical cable resources and bandwidth resources, and the characteristic data information comprises positions of all towers, positions of all sites, power of optical cables and frequency, amplitude and time constant of bandwidth;
pole tower resource fusion module: the method comprises the steps that the center points of all towers are selected, and the average value of the distances between all the towers and the center points is calculated according to the positions of all the towers;
a station resource fusion module: configured to correlate the location information of all the sites with a Pearson correlation coefficient according to the locations of all the sites;
the optical cable resource fusion module: configured to calculate a power sum of a full-order NSNI of a cable resource from the power of the cable;
a bandwidth resource fusion module: the system is configured to discretize signals of a bandwidth resource according to the frequency, the amplitude and the time constant of the bandwidth;
a resource allocation module: the method comprises the steps of establishing a resource distribution mathematical model according to the average value of distances between all towers and a central point, the Pearson correlation coefficient of the site position, the power sum of the full-order NSNI of the optical cable resource and a discretized bandwidth resource signal, solving the optimal solution of the resource distribution mathematical model by using a Lagrange multiplier method, and distributing the multi-dimensional power basic resource according to the optimal solution of the resource distribution mathematical model.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 6 when executing the program.
9. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 6.
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