Power distribution network flux calculation resource configuration optimization method and system, and storage medium

Abstract

The invention discloses a power distribution network communication computing resource configuration optimization method and system and a storage medium, and the method comprises the steps: constructing an incidence relation between communication computing resources and business demands and a unified expression mapping and conversion relation of the communication computing resources according to the communication computing resource configuration conditions of different regions, carrying out preliminary mapping on the business requirements and the general calculation resources; deducing the reachability gap of the business demand based on the preliminary mapping to obtain a reachability gap set; and performing reachability gap adjustment on the index mapping based on the general inductance computing resource margin, the business demand set, the association relationship set, the unified expression mapping, the conversion relationship set and the reachability gap set until the reachability gap meets a preset requirement, obtaining an index mapping result, and performing power distribution network general inductance computing resource configuration according to the index mapping result. According to the method, the mapping indexes of the business requirements and the general computing resources can be dynamically adjusted, and the reachability of the business requirements and the accuracy of general computing resource expression are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network resource configuration, and in particular to a distribution network telemetry resource configuration optimization method, system and storage medium. Background Art

[0002] Communication, perception and computing refer to communication, perception and computing. Through the construction of the distribution network communication and computing indicator system and indicator mapping, it can support the whole life cycle of power business data perception, transmission, and computing, and realize the coordination and configuration of distribution network resources. With the widespread access of a high proportion of new energy in the context of the new power system, the differentiated needs of massive power businesses and the differentiated configuration of wireless networks under the hierarchical collaborative control mode of the distribution network have brought new challenges to the indicator mapping and resource expression of the distribution network communication and computing resources.

[0003] The existing distribution network resource configuration ignores the differentiated configuration of the distribution network hierarchical control wireless network in terms of the expression of telecomputing resources and indicator mapping. The constructed indicator system only considers objective factors, and different indicators cannot be converted into each other. It also does not consider the coupling characteristics of perception, communication, and computing resource configuration, and cannot achieve unified expression and conversion support of telecomputing resources, resulting in low accuracy of resource expression. In addition, the existing technology ignores the adaptive adjustment needs of the distribution network hierarchical control business, and cannot dynamically adjust the business needs and the mapping indicators of telecomputing resources, resulting in poor accessibility of business needs. Summary of the invention

[0004] To solve the above technical problems, the present invention provides a distribution network synesthesia resource configuration optimization method, system and storage medium, which can dynamically adjust the mapping indicators of business needs and synesthesia resources, thereby improving the accessibility of business needs and the accuracy of synesthesia resource expression.

[0005] The embodiment of the present invention provides a method for optimizing resource configuration of a distribution network by using a synaptic computing method, comprising:

[0006] Obtain the configuration of synergistic computing resources in distribution networks in different regions and the business demand set for hierarchical regulation of distribution networks;

[0007] According to the business demand set and the configuration of the telecomputing resource, an association relationship between the telecomputing resource and the business demand is established to obtain an association relationship set;

[0008] Based on the business requirement set, a unified expression of synaesthesia computing resources and a conversion relationship between resources are constructed to obtain a unified expression mapping and a conversion relationship set;

[0009] According to the business requirement set, the association relationship set, the unified expression mapping and the conversion relationship set, the business requirement and the synaesthesia calculation indicator are preliminarily mapped to obtain a preliminary indicator mapping;

[0010] Based on the preliminary indicator mapping, deduce the accessibility gap of the business requirements to obtain a set of accessibility gaps;

[0011] Determine whether the accessibility gap meets the preset requirements, and if so, output the indicator mapping result; if not, adjust the accessibility gap of the indicator mapping based on the telepathic computing resource margin, the business demand set, the association relationship set, the unified expression mapping, the conversion relationship set and the accessibility gap set, until the accessibility gap corresponding to the indicator mapping meets the preset requirements, and output the indicator mapping result, so as to configure the distribution network telepathic computing resources according to the indicator mapping result.

[0012] As an improvement of the above solution, the association relationship set is specifically:

[0013]

[0014] in, is the set of correlation relationships between the configuration of synaesthesia computing resources and business requirements for the i-th business in region n, h(·) is the correlation function, T n,i is the total amount of communication resources allocated to the i-th type of service in area n, S n,i is the total amount of sensing resources allocated to the i-th type of service in area n, C n,i is the total amount of computing resources allocated to the i-th type of service in region n, D n,i is the set of business requirements for the i-th type of business in area n.

[0015] As an improvement of the above solution, based on the business requirement set, a unified expression of the synergistic computing resources and a conversion relationship between the resources are constructed to obtain a unified expression mapping and a conversion relationship set, including:

[0016] Based on the business demand set, the communication resources are uniformly expressed as equivalent bandwidth, the perception resources are uniformly expressed as perception coverage, and the computing resources are uniformly expressed as computing throughput, so as to construct a unified expression mapping of synaesthesia computing resources;

[0017] Under the condition of the unified expression mapping, the conversion rate between each two types of resources among the communication resources, perception resources and computing resources corresponding to each type of business is constructed to obtain a set of conversion relationships; the set of conversion relationships includes: a communication resource conversion rate set, a perception resource conversion rate set and a computing resource conversion rate set.

[0018] As an improvement of the above solution, the accessibility gap includes a rigid gap and a flexible gap;

[0019] Among them, the indicator corresponding to the rigid gap is only related to one resource in the synaesthesia computing resources; the indicator corresponding to the flexible gap is related to at least two resources in the synaesthesia computing resources.

[0020] As an improvement of the above solution, the step of adjusting the accessibility gap of the indicator mapping includes:

[0021] For the indicator corresponding to the rigid gap in the indicator mapping, increase the amount of synaesthesia computing resources corresponding to the indicator to obtain a rigid adjustment result;

[0022] The indicator corresponding to the flexible gap in the indicator mapping is adjusted using a preset adjustment strategy based on the synaesthesia resource margin, the business requirement set, the association relationship set, the unified expression mapping, the conversion relationship set, and the reachability gap set to obtain a flexible adjustment result;

[0023] An adjusted index mapping is calculated according to the rigid adjustment result and the flexible adjustment result.

[0024] As an improvement of the above solution, the formula of the preset adjustment strategy is:

[0025]

[0026] Where n represents the nth region, K(·) is the flexible gap adjustment strategy mapping, Q n,i is the accessibility gap set corresponding to the i-th type of service, D n,i is the business requirement set of the i-th business, are the conversion rate set of computing resources, the conversion rate set of communication resources, and the conversion rate set of sensing resources for the i-th type of business, respectively. is the set of association relationships of the i-th type of business, E[T n,i ,S n,i ,C n,i ] is a unified expression mapping, is the communication resource margin allocated to the i-th type of service, is the perceived resource margin allocated to the i-th service, is the computing resource margin allocated to the i-th type of business; are respectively the conversion amounts of the perception resources and computing resources of the i-th type of service into communication resources under the conditions of the unified expression mapping and the synaesthesia resource margin, are respectively the conversion amounts of the communication resources and computing resources of the i-th type of service into the perception resources under the conditions of the unified expression mapping and the synaesthesia resource margin, are respectively the conversion amounts of the communication resources and the perception resources of the i-th type of service into the computing resources under the conditions of the unified expression mapping and the synaesthesia resource margin.

[0027] As an improvement of the above solution, the step of calculating the adjusted index mapping according to the rigid adjustment result and the flexible adjustment result specifically includes:

[0028] The total amount of synaesthesia computing resources for the i-th type of business in area n after adjustment is calculated according to the following formula:

[0029]

[0030] Among them, T n ′ ,i , S n ′ ,i , C n ′ ,i are the total amount of communication resources, total amount of sensing resources, and total amount of computing resources allocated to the i-th type of service in area n after adjustment, T n,i , S n,i , C n,i are the total amount of communication resources, perception resources, and computing resources allocated to the i-th type of service in area n before adjustment, Δβ1, Δβ2, and Δβ3 are the increase in communication resources, perception resources, and computing resources allocated to the i-th type of service in area n in the rigid adjustment result, respectively. are respectively the conversion rates of the sensing resources and computing resources of the i-th type of service into communication resources under the condition of the unified expression mapping, are respectively the conversion rates of the communication resources and computing resources of the i-th type of service into the perception resources under the condition of the unified expression mapping, are respectively the conversion rates of the communication resources and the perception resources of the i-th type of service into the computing resources under the condition of the unified expression mapping;

[0031] According to the total amount of synaesthesia computing resources, an adjusted indicator mapping is obtained.

[0032] As an improvement of the above solution, the preset requirement includes: the binary norm of the reachability gap is not greater than a preset reachability gap negligible threshold.

[0033] The embodiment of the present invention further provides a distribution network synaptic computing resource configuration optimization system, comprising:

[0034] The data acquisition module is used to obtain the configuration of the synergy computing resources of the distribution networks in different regions and the business demand set of the hierarchical regulation of the distribution networks;

[0035] An association relationship building module is used to build an association relationship between the Tonggansu resources and the business requirements according to the business requirement set and the Tonggansu resource configuration to obtain an association relationship set;

[0036] A conversion relationship building module is used to build a unified expression of synaesthesia computing resources and a conversion relationship between resources based on the business demand set, and obtain a unified expression mapping and a conversion relationship set;

[0037] A preliminary mapping module, used to perform preliminary mapping of the business requirements and the synaesthesia calculation indicators according to the business requirement set, the association relationship set, the unified expression mapping and the conversion relationship set to obtain a preliminary indicator mapping;

[0038] A reachability gap deduction module, used to deduce the reachability gap of the business demand based on the preliminary indicator mapping to obtain a reachability gap set;

[0039] The accessibility gap adjustment module is used to determine whether the accessibility gap meets the preset requirements. If so, the indicator mapping result is output; if not, the indicator mapping is adjusted for the accessibility gap based on the telepathic computing resource margin, the business demand set, the association relationship set, the unified expression mapping, the conversion relationship set and the accessibility gap set, until the accessibility gap corresponding to the indicator mapping meets the preset requirements, and the indicator mapping result is output to configure the distribution network telepathic computing resources according to the indicator mapping result.

[0040] An embodiment of the present invention further provides a computer-readable storage medium, which stores a computer program. When the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any of the above-mentioned methods for optimizing the configuration of distribution network telemetry resources.

[0041] Compared with the prior art, the beneficial effects of a distribution network telecomputing resource configuration optimization method, system and storage medium provided by the embodiment of the present invention are: by considering the coupled characteristics of the perception communication resource configuration according to the differentiated configuration of telecomputing resources in different regions and the business demand set, the correlation relationship between business demand and telecomputing resources and the unified expression mapping and conversion relationship of telecomputing resources are constructed, and the insufficiency of indicator performance can be compensated by mutual conversion between different indicators, which effectively improves the accuracy of resource expression in the telecomputing resource configuration of the distribution network, and also improves the economy and reliability of the distribution network operation. Secondly, by adopting a combination of flexible adjustment and rigid adjustment, the mapping indicators of business demand and telecomputing resources are dynamically adjusted, thereby realizing the optimization of the telecomputing resource configuration of the distribution network, improving the mapping accuracy and business demand accessibility, and further improving the stability and reliability of the distribution network operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flow chart of a method for optimizing resource configuration of a distribution network by using a telemetry calculation method according to an embodiment of the present invention;

[0043] Figure 2 It is a structural diagram of a distribution network synaptic computing resource configuration optimization system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 , Figure 1 The present invention provides a flow chart of a method for optimizing the configuration of distribution network resources by using a synergistic computing method. The method for optimizing the configuration of distribution network resources by using a synergistic computing method comprises:

[0046] S1: Obtain the configuration of synergistic computing resources of distribution networks in different regions and the business demand set of hierarchical regulation of distribution networks;

[0047] Specifically, the embodiment of the present invention divides the area where the distribution network telecomputing resource configuration is required into N areas, wherein the nth area includes I power business, and obtains the business demand set and telecomputing resource configuration of each area in the N areas.

[0048] S2: According to the business demand set and the configuration of the telecomputing resource, establish an association relationship between the telecomputing resource and the business demand to obtain an association relationship set;

[0049] Specifically, in order to avoid the problem of resource loss caused by real-time adjustment of resource allocation strategies, based on the configuration of communication, perception, and computing resources in different regions, the correlation between the configuration of communication, perception, and computing resources and multi-dimensional business needs in the hierarchical collaborative control mode of distribution networks is constructed to obtain a set of correlation relationships.

[0050] As one of the optional embodiments, the association relationship set is specifically:

[0051]

[0052] in, is the set of correlation relationships between the configuration of synaesthesia computing resources and business requirements for the i-th business in region n, h(·) is the correlation function, T n,iis the total amount of communication resources allocated to the i-th type of service in area n, S n,i is the total amount of sensing resources allocated to the i-th type of service in area n, C n,i is the total amount of computing resources allocated to the i-th type of service in region n, D n,i is the set of business requirements for the i-th type of business in area n.

[0053] Among them, the business requirement set D n,i It consists of J elements and is a J×1 matrix. By D n,i The relationship between each element and the three-dimensional resources of communication, perception, and computing is composed of a J×3 matrix. n S,E i The value range of the elements in is [0, 1]. If the correlation between the i-th type of business demand and one of the communication resources, perception resources, and computing resources is stronger, the corresponding value is closer to 1, otherwise, it is closer to 0.

[0054] S3: Based on the business requirement set, a unified expression of synaesthesia computing resources and a conversion relationship between resources are constructed to obtain a unified expression mapping and a conversion relationship set;

[0055] As one of the optional embodiments, the unified expression of the synaesthesia computing resources and the conversion relationship between the resources are constructed based on the business demand set to obtain the unified expression mapping and the conversion relationship set, including:

[0056] Based on the business demand set, the communication resources are uniformly expressed as equivalent bandwidth, the perception resources are uniformly expressed as perception coverage, and the computing resources are uniformly expressed as computing throughput, so as to construct a unified expression mapping of synaesthesia computing resources;

[0057] Under the condition of the unified expression mapping, the conversion rate between each two types of resources among the communication resources, perception resources and computing resources corresponding to each type of business is constructed to obtain a set of conversion relationships; the set of conversion relationships includes: a communication resource conversion rate set, a perception resource conversion rate set and a computing resource conversion rate set.

[0058] Specifically, if the telecomputing resources of the power distribution network are reconfigured, it will cost too much money and be less economical. Therefore, in order to maximize the service performance, we first build a unified expression of communication resources, perception resources, and computing resources based on current service needs:

[0059] In terms of communication resources, the service capabilities of heterogeneous channels such as 4G, 5G, and HPLC are uniformly expressed as equivalent bandwidth;

[0060] In terms of computing resources, the computing requirements of each terminal data are equivalent to computing throughput; specifically, the computing requirements of each application for network-side signal processing are equivalent to computing throughput and latency requirements, and the physical computing devices are abstracted into virtual machines;

[0061] In terms of perception resources, the data collection and processing capabilities of the distributed perception device network are uniformly expressed as perception coverage.

[0062] Furthermore, the conversion relationship between the synergistic computing resources under different businesses is constructed, which is specifically expressed as follows:

[0063]

[0064] in, is the conversion rate set of computing resources and sensing resources into communication resources, is the set of conversion rates of computing resources and communication resources into sensing resources, is the set of conversion rates of communication resources and perception resources into computing resources, E[·] is a unified expression mapping, are the conversion rates of the sensing resources and computing resources of the i-th service into communication resources under the condition of unified expression mapping, are the conversion rates of communication resources and computing resources of the i-th service into perception resources under the condition of unified expression mapping, They are respectively the conversion rates of communication resources and perception resources of the i-th type of service into computing resources under the condition of unified expression mapping.

[0065] For example, in a load forecasting business scenario, if the sensor network is not sufficient to cover the entire power grid, communication resources can be used to obtain data from other sensors, or computing resources can be used to estimate missing sensory information through algorithms and historical data, thereby meeting business needs through the conversion of synaesthesia computing resources.

[0066] S4: Preliminarily mapping the business requirements and the synaesthesia computing resources according to the business requirement set, the association relationship set, the unified expression mapping, and the conversion relationship set to obtain a preliminary indicator mapping;

[0067] Specifically, the indicator mapping is expressed as:

[0068]

[0069] Wherein, f(·) is a preliminary mapping function, which can be obtained based on a traditional indicator system.

[0070] The indicator mapping results are specific performance indicators mapped out based on the relationship between the multi-dimensional business needs of the distribution network and the synaptic computing resources. These mapping results indicate the specific requirements of the system for communication, perception, and computing resources under the current business needs. Based on these indicator mapping results, the distribution network resources can be allocated and optimized to meet the business needs of the distribution network, including how to configure communication resources (such as bandwidth, channels, etc.), computing resources (such as computing power, processing speed, etc.) and perception resources (such as the number of sensors, accuracy, etc.) to ensure the efficient operation of the distribution network.

[0071] S5: Based on the preliminary indicator mapping, deduce the reachability gap of the business demand to obtain a reachability gap set;

[0072] Specifically, based on the preliminary indicator mapping, the accessibility gap of business needs is deduced using the deduction network. The deduction network is a neural network, which deduces and evaluates the accessibility gap of business needs by inputting the preliminary indicator mapping results of the synaesthesia computing resources, that is, predicting whether the current resource configuration can meet the actual business needs. Among them, the deduction network includes but is not limited to feedforward neural networks, convolutional neural networks, long short-term memory networks or generative adversarial networks, etc., and the deduction network can be trained through historical indicator mapping data.

[0073] Reachability gap set Q n,i , specifically expressed as:

[0074] Q n,i =g[(T n,i ,S n,i ,C n,i ) → D n,i ]

[0075] Where g[·] is the reachability gap mapping within the deduced network.

[0076] As one of the optional embodiments, the accessibility gap includes a rigidity gap and a flexibility gap;

[0077] Among them, the indicator corresponding to the rigid gap is only related to one resource in the synaesthesia computing resources; the indicator corresponding to the flexible gap is related to at least two resources in the synaesthesia computing resources.

[0078] Specifically, the accessibility gap includes rigid gaps such as collection depth and frequency, transmission delay jitter, and synchronization accuracy error, as well as flexible gaps such as end-to-end delay.

[0079] If the current synaesthesia calculation indicator is not met (that is, the accessibility gap of the indicator does not meet the requirements), and the unmet indicator is only related to one of the synaesthesia calculation resources, for example, when the acquisition accuracy is not enough, the acquisition accuracy cannot be optimized with the increase of communication and computing resources. This gap is called a rigid gap;

[0080] If the current synergistic computing resource indicators are related to at least two resources, they can be achieved through related conversion and support between resources. For example, when the end-to-end delay cannot be met, computing resources can be added to increase data processing capabilities or increase collection frequency. This gap is called a flexible gap.

[0081] S6: Determine whether the accessibility gap meets the preset requirements, and if so, output the indicator mapping result; if not, adjust the accessibility gap of the indicator mapping based on the telepathic computing resource margin, the business demand set, the association relationship set, the unified expression mapping, the conversion relationship set and the accessibility gap set, until the accessibility gap corresponding to the indicator mapping meets the preset requirements, and output the indicator mapping result, so as to configure the distribution network telepathic computing resources according to the indicator mapping result.

[0082] As one of the optional embodiments, the adjusting the reachability gap of the indicator mapping includes:

[0083] For the indicator corresponding to the rigid gap in the indicator mapping, increase the amount of synaesthesia computing resources corresponding to the indicator to obtain a rigid adjustment result;

[0084] The indicator corresponding to the flexible gap in the indicator mapping is adjusted using a preset adjustment strategy based on the synaesthesia resource margin, the business requirement set, the association relationship set, the unified expression mapping, the conversion relationship set, and the reachability gap set to obtain a flexible adjustment result;

[0085] An adjusted index mapping is calculated according to the rigid adjustment result and the flexible adjustment result.

[0086] Specifically, for the rigid gap, if the current synaesthesia index is not met and cannot be supported by the mutual conversion of synaesthesia resources, the index is rigidly adjusted, specifically by increasing the amount of synaesthesia resources corresponding to the index, that is, the rigid adjustment result, namely, the increase in communication resources Δβ1, the increase in perception resources Δβ2 and the increase in computing resources Δβ3.

[0087] For the flexibility gap, based on the synaesthesia resource margin, business demand set, association relationship set, unified expression mapping, conversion relationship set and reachability gap set, a preset adjustment strategy is used to perform flexible adjustment and obtain a flexible adjustment result.

[0088] As one of the optional embodiments, the formula of the preset adjustment strategy is:

[0089]

[0090] Where n represents the nth region, K(·) is the flexible gap adjustment strategy mapping, Q n,i is the accessibility gap set corresponding to the i-th type of service, D n,i is the business requirement set of the i-th business, are the conversion rate set of computing resources, the conversion rate set of communication resources, and the conversion rate set of sensing resources for the i-th type of business, respectively. is the set of association relationships of the i-th type of business, E[T n,i ,S n,i ,C n,i ] is a unified expression mapping, is the communication resource margin allocated to the i-th type of service, is the perceived resource margin allocated to the i-th service, is the computing resource margin allocated to the i-th type of business; are respectively the conversion amounts of the perception resources and computing resources of the i-th type of service into communication resources under the conditions of the unified expression mapping and the synaesthesia resource margin, are respectively the conversion amounts of the communication resources and computing resources of the i-th type of service into the perception resources under the conditions of the unified expression mapping and the synaesthesia resource margin, are respectively the conversion amounts of the communication resources and the perception resources of the i-th type of service into the computing resources under the conditions of the unified expression mapping and the synaesthesia resource margin.

[0091] As one of the optional embodiments, the flexible adjustment result is also obtained by flexible adjustment according to the resource enhancement configuration cost; wherein the resource enhancement configuration cost is the cost required for increasing the synaesthesia computing resource hardware facilities.

[0092] Furthermore, the step of calculating the adjusted indicator mapping according to the rigid adjustment result and the flexible adjustment result specifically includes:

[0093] The total amount of synaesthesia computing resources for the i-th type of business in area n after adjustment is calculated according to the following formula:

[0094]

[0095] Among them, T n ′ ,i , S n ′ ,i , C n ′ ,i are the total amount of communication resources, total amount of sensing resources, and total amount of computing resources allocated to the i-th type of service in area n after adjustment, T n,i , S n,i, C n,i are the total amount of communication resources, perception resources, and computing resources allocated to the i-th type of service in area n before adjustment, Δβ1, Δβ2, and Δβ3 are the increase in communication resources, perception resources, and computing resources allocated to the i-th type of service in area n in the rigid adjustment result, respectively. are respectively the conversion rates of the sensing resources and computing resources of the i-th type of service into communication resources under the condition of the unified expression mapping, are respectively the conversion rates of the communication resources and computing resources of the i-th type of service into the perception resources under the condition of the unified expression mapping, are respectively the conversion rates of the communication resources and the perception resources of the i-th type of service into the computing resources under the condition of the unified expression mapping;

[0096] According to the total amount of synaesthesia computing resources, an adjusted indicator mapping is obtained.

[0097] Furthermore, the accessibility gap corresponding to the adjusted indicator mapping is obtained, and it is checked whether the accessibility gap meets the preset requirements. If not, the accessibility gap adjustment is repeated until the accessibility gap meets the preset requirements, and the final indicator mapping is output.

[0098] As one of the optional embodiments, the preset requirement includes: the binary norm of the reachability gap is not greater than a preset reachability gap negligible threshold.

[0099] Specifically, determine the obtained accessibility gap set Q n,i Does it satisfy ‖Q n,i ‖2≤Δχ n,i , where Δχ n,i is the negligible threshold of the accessibility gap, and ‖·‖2 is the second norm. If the preset requirements are met, the indicator mapping results of the business demand and the synergistic computing resources are output, and then the synergistic computing resource configuration is dynamically adjusted according to the indicator mapping results to adapt to the changes in business demand, thereby improving the stability and reliability of the distribution network system.

[0100] The traditional synaesthesia index system is objective, has nothing to do with the network configuration, and its different indicators cannot be converted to each other. In the method provided by the embodiment of the present invention, the whole life cycle of the power business under the distribution network hierarchical collaborative control mode is organically superimposed with multiple perception, transmission, and calculation links, so as to realize the mutual conversion and support of perception, transmission, and computing resources, optimize resource allocation, and enhance the self-healing ability of the distribution network, thereby providing more reliable power services. According to the resource configuration of the existing distribution network power wireless network and the mutual conversion-support relationship between resources, the mapping relationship between business needs and synaesthesia indicators is dynamically adjusted, which improves the resource utilization rate and the hierarchical collaborative control capability of the distribution network, and can support the digital transformation and high-quality development needs of the power grid.

[0101] The embodiment of the present invention constructs the correlation between business demand and telecomputing resources and the unified expression mapping and conversion relationship of telecomputing resources according to the differentiated configuration of telecomputing resources in different regions and the set of business demand, takes into account the coupling characteristics of telecomputing resource configuration, and can make up for the shortcomings of indicator performance through the mutual conversion between different indicators, effectively improve the accuracy of resource expression in the telecomputing resource configuration of the distribution network, and also improve the economy and reliability of the distribution network operation. Secondly, by combining flexible adjustment and rigid adjustment, the mapping indicators of business demand and telecomputing resources are dynamically adjusted, thereby realizing the optimization of the telecomputing resource configuration of the distribution network, improving the mapping accuracy and business demand accessibility, and further improving the stability and reliability of the distribution network operation.

[0102] Correspondingly, the present invention also provides a distribution network telecomputing resource configuration optimization system, which can implement all processes of the distribution network telecomputing resource configuration optimization method in the above embodiment.

[0103] See also Figure 2 , Figure 2 1 is a schematic diagram of a distribution network synergy computing resource configuration optimization system provided by an embodiment of the present invention. The distribution network synergy computing resource configuration optimization system comprises:

[0104] The data acquisition module 201 is used to obtain the configuration of the synergy computing resources of the distribution networks in different regions and the business demand set of the hierarchical regulation of the distribution networks;

[0105] The association relationship building module 202 is used to build the association relationship between the Tongsensuan resource and the business demand according to the business demand set and the Tongsensuan resource configuration to obtain the association relationship set;

[0106] The conversion relationship building module 203 is used to build a unified expression of the synaesthesia computing resources and the conversion relationship between the resources based on the business demand set, and obtain a unified expression mapping and a conversion relationship set;

[0107] A preliminary mapping module 204 is used to perform preliminary mapping of the business requirements and the synaesthesia computing resources according to the business requirement set, the association relationship set, the unified expression mapping and the conversion relationship set to obtain a preliminary indicator mapping;

[0108] A reachability gap deduction module 205 is used to deduce the reachability gap of the business demand based on the preliminary indicator mapping to obtain a reachability gap set;

[0109] The accessibility gap adjustment module 206 is used to determine whether the accessibility gap meets the preset requirements. If so, the indicator mapping result is output; if not, the indicator mapping is adjusted for the accessibility gap based on the telepathic computing resource margin, the business demand set, the association relationship set, the unified expression mapping, the conversion relationship set and the accessibility gap set until the accessibility gap corresponding to the indicator mapping meets the preset requirements, and the indicator mapping result is output to configure the distribution network telepathic computing resources according to the indicator mapping result.

[0110] Furthermore, the association relationship set is specifically:

[0111]

[0112] in, is the set of correlation relationships between the configuration of synaesthesia computing resources and business requirements for the i-th business in region n, h(·) is the correlation function, T n,i is the total amount of communication resources allocated to the i-th type of service in area n, S n,i is the total amount of sensing resources allocated to the i-th type of service in area n, C n,i is the total amount of computing resources allocated to the i-th type of service in region n, D n,i is the set of business requirements for the i-th type of business in area n.

[0113] Furthermore, based on the business requirement set, a unified expression of the synergistic computing resources and a conversion relationship between the resources are constructed to obtain a unified expression mapping and a conversion relationship set, including:

[0114] Based on the business demand set, the communication resources are uniformly expressed as equivalent bandwidth, the perception resources are uniformly expressed as perception coverage, and the computing resources are uniformly expressed as computing throughput, so as to construct a unified expression mapping of synaesthesia computing resources;

[0115] Under the condition of the unified expression mapping, the conversion rate between each two types of resources among the communication resources, perception resources and computing resources corresponding to each type of business is constructed to obtain a set of conversion relationships; the set of conversion relationships includes: a communication resource conversion rate set, a perception resource conversion rate set and a computing resource conversion rate set.

[0116] Further, the accessibility gap includes a rigid gap and a flexible gap;

[0117] Among them, the indicator corresponding to the rigid gap is only related to one resource in the synaesthesia computing resources; the indicator corresponding to the flexible gap is related to at least two resources in the synaesthesia computing resources.

[0118] Furthermore, the adjusting the accessibility gap of the indicator mapping includes:

[0119] For the indicator corresponding to the rigid gap in the indicator mapping, increase the amount of synaesthesia computing resources corresponding to the indicator to obtain a rigid adjustment result;

[0120] The indicator corresponding to the flexible gap in the indicator mapping is adjusted using a preset adjustment strategy based on the synaesthesia resource margin, the business requirement set, the association relationship set, the unified expression mapping, the conversion relationship set, and the reachability gap set to obtain a flexible adjustment result;

[0121] An adjusted index mapping is calculated according to the rigid adjustment result and the flexible adjustment result.

[0122] Furthermore, the formula of the preset adjustment strategy is:

[0123]

[0124] Where n represents the nth region, K(·) is the flexible gap adjustment strategy mapping, Q n,i is the accessibility gap set corresponding to the i-th type of service, D n,i is the business requirement set of the i-th business, are the conversion rate set of computing resources, the conversion rate set of communication resources, and the conversion rate set of sensing resources for the i-th type of business, respectively. is the set of association relationships of the i-th type of business, E[T n,i ,S n,i ,C n,i ] is a unified expression mapping, is the communication resource margin allocated to the i-th type of service, is the perceived resource margin allocated to the i-th service, is the computing resource margin allocated to the i-th type of business; are respectively the conversion amounts of the perception resources and computing resources of the i-th type of service into communication resources under the conditions of the unified expression mapping and the synaesthesia resource margin, are respectively the conversion amounts of the communication resources and computing resources of the i-th type of service into the perception resources under the conditions of the unified expression mapping and the synaesthesia resource margin, are respectively the conversion amounts of the communication resources and the perception resources of the i-th type of service into the computing resources under the conditions of the unified expression mapping and the synaesthesia resource margin.

[0125] Furthermore, the step of calculating the adjusted indicator mapping according to the rigid adjustment result and the flexible adjustment result specifically includes:

[0126] The total amount of synaesthesia computing resources for the i-th type of business in area n after adjustment is calculated according to the following formula:

[0127]

[0128]

[0129]

[0130] Among them, T n ′ ,i , S n ′ ,i , C n ′ ,i are the total amount of communication resources, total amount of sensing resources, and total amount of computing resources allocated to the i-th type of service in area n after adjustment, T n,i , S n,i , C n,i are the total amount of communication resources, perception resources, and computing resources allocated to the i-th type of service in area n before adjustment, Δβ1, Δβ2, and Δβ3 are the increase in communication resources, perception resources, and computing resources allocated to the i-th type of service in area n in the rigid adjustment result, respectively. are respectively the conversion rates of the sensing resources and computing resources of the i-th type of service into communication resources under the condition of the unified expression mapping, are respectively the conversion rates of the communication resources and computing resources of the i-th type of service into the perception resources under the condition of the unified expression mapping, are respectively the conversion rates of the communication resources and the perception resources of the i-th type of service into the computing resources under the condition of the unified expression mapping;

[0131] According to the total amount of synaesthesia computing resources, an adjusted indicator mapping is obtained.

[0132] Furthermore, the preset requirement includes: the binary norm of the reachability gap is not greater than a preset reachability gap negligible threshold.

[0133] In the specific implementation, the working principle, control process and technical effect achieved by the distribution network telemetry resource configuration optimization system provided by the embodiment of the present invention are the same as those of the distribution network telemetry resource configuration optimization method in the above embodiment, and will not be repeated here.

[0134] An embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the distribution network telemetry resource configuration optimization method described in any of the above embodiments.

[0135] The embodiment of the present invention provides a method, system and storage medium for optimizing the configuration of synesthesia computing resources in a distribution network, and its beneficial effects are: by considering the coupling characteristics of synesthesia computing resource configuration according to the differentiated configuration of synesthesia computing resources in different regions and the set of business requirements, the correlation relationship between business requirements and synesthesia computing resources and the unified expression mapping and conversion relationship of synesthesia computing resources are constructed, and the insufficiency of indicator performance can be compensated by mutual conversion between different indicators, which effectively improves the accuracy of resource expression in the configuration of synesthesia computing resources in the distribution network, and also improves the economy and reliability of the distribution network operation. Secondly, by adopting a combination of flexible adjustment and rigid adjustment, the mapping indicators of business requirements and synesthesia computing resources are dynamically adjusted, thereby realizing the optimization of the configuration of synesthesia computing resources in the distribution network, improving the mapping accuracy and accessibility of business requirements, and further improving the stability and reliability of the distribution network operation.

[0136] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A distribution network synaptic computing resource configuration optimization method, characterized in that: include: Obtain the configuration of synergistic computing resources in distribution networks in different regions and the business demand set for hierarchical regulation of distribution networks; According to the business demand set and the configuration of the telecomputing resource, an association relationship between the telecomputing resource and the business demand is established to obtain an association relationship set; Based on the business requirement set, a unified expression of synaesthesia computing resources and a conversion relationship between resources are constructed to obtain a unified expression mapping and a conversion relationship set; According to the business requirement set, the association relationship set, the unified expression mapping and the conversion relationship set, the business requirements and the synaesthesia computing resources are preliminarily mapped to obtain a preliminary indicator mapping; Based on the preliminary indicator mapping, deduce the reachability gap of the business demand to obtain a reachability gap set; Determine whether the accessibility gap meets the preset requirements, and if so, output the indicator mapping result; if not, adjust the accessibility gap of the indicator mapping based on the telepathic computing resource margin, the business demand set, the association relationship set, the unified expression mapping, the conversion relationship set and the accessibility gap set, until the accessibility gap corresponding to the indicator mapping meets the preset requirements, and output the indicator mapping result, so as to configure the distribution network telepathic computing resources according to the indicator mapping result.

2. The method for optimizing the allocation of distribution network resources by using telemetry as claimed in claim 1, characterized in that: The association relationship set is specifically: in, is the set of correlation relationships between the configuration of synaesthesia computing resources and business requirements for the i-th business in region n, h(·) is the correlation function, T n,i is the total amount of communication resources allocated to the i-th type of service in area n, S n,i is the total amount of sensing resources allocated to the i-th type of service in area n, C n,i is the total amount of computing resources allocated to the i-th type of service in region n, D n,i is the set of business requirements for the i-th type of business in area n.

3. The method for optimizing the allocation of distribution network resources by using telemetry as claimed in claim 1, characterized in that: The step of constructing a unified expression of synaesthesia resources and a conversion relationship between resources based on the business demand set to obtain a unified expression mapping and a conversion relationship set includes: Based on the business demand set, the communication resources are uniformly expressed as equivalent bandwidth, the perception resources are uniformly expressed as perception coverage, and the computing resources are uniformly expressed as computing throughput, so as to construct a unified expression mapping of synaesthesia computing resources; Under the condition of the unified expression mapping, the conversion rate between each two types of resources among the communication resources, perception resources and computing resources corresponding to each type of business is constructed to obtain a set of conversion relationships; the set of conversion relationships includes: a communication resource conversion rate set, a perception resource conversion rate set and a computing resource conversion rate set.

4. The method for optimizing the allocation of distribution network resources by using telemetry as claimed in claim 1, characterized in that: The accessibility gap includes a rigid gap and a flexible gap; Among them, the indicator corresponding to the rigid gap is only related to one resource in the synaesthesia computing resources; the indicator corresponding to the flexible gap is related to at least two resources in the synaesthesia computing resources.

5. The method for optimizing the allocation of distribution network resources by using telemetry as claimed in claim 4, characterized in that: The adjusting the accessibility gap of the indicator mapping includes: For the indicator corresponding to the rigid gap in the indicator mapping, the amount of synaesthesia computing resources corresponding to the indicator is increased to obtain a rigid adjustment result; The indicator corresponding to the flexible gap in the indicator mapping is adjusted using a preset adjustment strategy based on the synaesthesia resource margin, the business requirement set, the association relationship set, the unified expression mapping, the conversion relationship set, and the reachability gap set to obtain a flexible adjustment result; An adjusted index mapping is calculated according to the rigid adjustment result and the flexible adjustment result.

6. The method for optimizing the allocation of distribution network resources by using telemetry as claimed in claim 5, characterized in that: The formula of the preset adjustment strategy is: Where n represents the nth region, K(·) is the flexible gap adjustment strategy mapping, and Q n,i is the accessibility gap set corresponding to the i-th type of service, D n,i is the business requirement set of the i-th business, are the conversion rate set of computing resources, the conversion rate set of communication resources, and the conversion rate set of sensing resources for the i-th type of business, respectively. is the set of association relationships of the i-th type of business, E[T n,i ,S n,i ,C n,i ] is a unified expression mapping, is the communication resource margin allocated to the i-th type of service, is the perceived resource margin allocated to the i-th service, is the computing resource margin allocated to the i-th type of business; and are respectively the conversion amounts of the perception resources and computing resources of the i-th type of service into communication resources under the conditions of the unified expression mapping and the synaesthesia resource margin, and are respectively the conversion amounts of the communication resources and computing resources of the i-th type of service into the perception resources under the conditions of the unified expression mapping and the synaesthesia resource margin, and are respectively the conversion amounts of the communication resources and the perception resources of the i-th type of service into the computing resources under the conditions of the unified expression mapping and the synaesthesia resource margin.

7. The method for optimizing the allocation of distribution network resources by using telemetry as claimed in claim 6, characterized in that: The calculating the adjusted indicator mapping according to the rigid adjustment result and the flexible adjustment result specifically includes: The total amount of synaesthesia computing resources for the i-th type of business in area n after adjustment is calculated according to the following formula: Among them, T n ′ ,i , S n ′ ,i , C n ′ ,i are the total amount of communication resources, total amount of sensing resources, and total amount of computing resources allocated to the i-th type of service in area n after adjustment, T n,i , S n,i , C n,i are the total amount of communication resources, perception resources, and computing resources allocated to the i-th type of service in area n before adjustment, Δβ1, Δβ2, and Δβ3 are the increase in communication resources, perception resources, and computing resources allocated to the i-th type of service in area n in the rigid adjustment result, respectively. and are respectively the conversion rates of the sensing resources and computing resources of the i-th type of service into communication resources under the condition of the unified expression mapping, and are respectively the conversion rates of the communication resources and computing resources of the i-th type of service into the perception resources under the condition of the unified expression mapping, and are respectively the conversion rates of the communication resources and the perception resources of the i-th type of service into the computing resources under the condition of the unified expression mapping; According to the total amount of synaesthesia computing resources, an adjusted indicator mapping is obtained.

8. The method for optimizing the allocation of distribution network resources by using telemetry as claimed in claim 1, characterized in that: The preset requirement includes: the binary norm of the reachability gap is not greater than a preset reachability gap negligible threshold.

9. A distribution network synaptic computing resource configuration optimization system, characterized in that: include: The data acquisition module is used to obtain the configuration of the synergy computing resources of the distribution networks in different regions and the business demand set of the hierarchical regulation of the distribution networks; An association relationship building module is used to build an association relationship between the Tonggansu resources and the business requirements according to the business requirement set and the Tonggansu resource configuration to obtain an association relationship set; A conversion relationship building module is used to build a unified expression of synaesthesia computing resources and a conversion relationship between resources based on the business demand set, and obtain a unified expression mapping and a conversion relationship set; A preliminary mapping module, used to perform preliminary mapping of the business requirements and the synaesthesia computing resources according to the business requirement set, the association relationship set, the unified expression mapping and the conversion relationship set to obtain a preliminary indicator mapping; A reachability gap deduction module, used to deduce the reachability gap of the business demand based on the preliminary indicator mapping to obtain a reachability gap set; The accessibility gap adjustment module is used to determine whether the accessibility gap meets the preset requirements. If so, the indicator mapping result is output; if not, the indicator mapping is adjusted for the accessibility gap based on the telepathic computing resource margin, the business demand set, the association relationship set, the unified expression mapping, the conversion relationship set and the accessibility gap set, until the accessibility gap corresponding to the indicator mapping meets the preset requirements, and the indicator mapping result is output to configure the distribution network telepathic computing resources according to the indicator mapping result.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the distribution network telepathic computing resource configuration optimization method according to any one of claims 1 to 8 is implemented.

Images