CN117217574A - Multi-dimensional evaluation method and device for comprehensive energy digital intelligent operation and maintenance service - Google Patents
Multi-dimensional evaluation method and device for comprehensive energy digital intelligent operation and maintenance service Download PDFInfo
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Abstract
The invention provides a multi-dimensional evaluation method of comprehensive energy digital intelligent operation and maintenance service, firstly selecting relevant indexes of service benefit influence factors of the digital intelligent operation and maintenance of a comprehensive energy system, and establishing a multi-dimensional comprehensive evaluation index system; secondly, collecting data in the actual operation and maintenance business development process, and establishing a scoring model of each index; then, according to the influence degree of each index on the operation and maintenance service implementation effect, determining the weight of each index by adopting an improved analytic hierarchy process; then, an operation and maintenance service benefit calculation model is established, and the scoring condition of the operation and maintenance service benefit is calculated; and finally, according to the benefit evaluation score condition of each operation and maintenance service, corresponding adjustment and improvement measures are formulated. The invention comprehensively considers the operation and maintenance service level, the intelligent degree and the safety management of the operation and maintenance service from multiple dimensions, realizes scientific and accurate evaluation of service benefit, is beneficial to expanding a service evaluation system of an electric power enterprise, improves and optimizes an operation and maintenance mode, and improves operation and maintenance service efficiency.
Description
Technical Field
The invention relates to the field of comprehensive energy system operation and maintenance business, in particular to a multi-dimensional evaluation method and device for comprehensive energy digital intelligent operation and maintenance business.
Background
The comprehensive energy service business is an effective way for realizing energy efficiency improvement and green development, and the intelligent operation and maintenance business is a realizing means for finally realizing the comprehensive energy service concept and achieving safe, intelligent and high-utility energy. The operation and maintenance units appearing in the market at present are mostly aimed at developing related operation and maintenance services in specific professional fields, unified standards are not formed in the comprehensive energy field, the intelligent level is still to be improved, and the improvement of the whole energy utilization level and the energy utilization efficiency of the society is not facilitated. If the operation and maintenance service is developed only by the traditional mode, the potential problems of the comprehensive energy system are difficult to mine, and targeted prevention and integrity optimization are made.
With the development of technologies such as the Internet of things, big data, artificial intelligence and the like, the digital intelligent operation and maintenance resource sharing is possible. Meanwhile, the national economic transformation development and the technical progress put higher requirements on the operation and maintenance team capacity, and professional operation and maintenance services are needed to be realized through professional technical teams. As a key ring of comprehensive energy service business, the intelligent operation and maintenance business is a necessary way for reflecting the overall value of the comprehensive energy service and realizing business results, and in order to promote the transformation, upgrading and intelligent level improvement of the operation and maintenance business, it is necessary to carry out multidimensional comprehensive evaluation on the business benefits of the digital intelligent operation and maintenance of the comprehensive energy system so as to continuously improve and optimize the intelligent operation and maintenance business.
At present, the digital intelligent operation and maintenance service of the domestic comprehensive energy system has just been raised, the related research on an evaluation index system and service benefit analysis of the intelligent operation and maintenance service is less, and the conventional electric intelligent operation and maintenance service evaluation system is relatively one-sided, and cannot comprehensively and accurately evaluate and analyze the service benefit of the digital intelligent operation and maintenance service of the comprehensive energy system. Therefore, the characteristics of the multi-energy complementary comprehensive energy system are required to be considered, the operation and maintenance service is quantitatively evaluated in terms of operation and maintenance service level, intelligent degree, safety management and the like, and the comprehensive evaluation result of the implementation effect of the digital intelligent operation and maintenance service is obtained, so that the aim of optimizing the operation and maintenance service is fulfilled.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a multi-dimensional evaluation method of comprehensive energy digital intelligent operation and maintenance service, which selects evaluation indexes capable of covering the benefits of the intelligent operation and maintenance service from multiple dimensions, constructs an evaluation model, realizes multi-dimensional comprehensive evaluation of the intelligent operation and maintenance service, is beneficial to expanding an operation and maintenance service evaluation system of an electric power enterprise, finds or improves the operation and maintenance service into an operation and maintenance mode more suitable for the electric power enterprise, and establishes a digital intelligent operation and maintenance service market of a comprehensive energy system.
The method establishes an intelligent operation and maintenance comprehensive evaluation index system from a plurality of dimensions to realize scientific and accurate evaluation of operation and maintenance service benefits, and comprises the following steps:
s1, taking the characteristics of a multi-energy complementary comprehensive energy system into consideration, selecting relevant indexes for evaluating the benefits of the digital intelligent operation and maintenance service, and establishing a multi-dimensional comprehensive evaluation index system;
s2, collecting relevant data in the actual operation and maintenance business development process, wherein the data comprise: evaluating the response speed, fault repair time, customer satisfaction survey results, equipment, system, flow quantity and proportion adopting a digital technology, service quantity providing intelligent decision support, data integrity, availability and emergency resource quantity which are required to be used, establishing a scoring model of each index, and calculating the scoring condition of each index;
s3, determining the weight of each index by adopting an improved analytic hierarchy process according to the influence degree of each index on the operation and maintenance service implementation effect;
s4, based on the multidimensional comprehensive evaluation index system of the operation and maintenance service, an operation and maintenance service benefit calculation model is established, and the score condition of the operation and maintenance service benefit is calculated;
and S5, according to the benefit evaluation score condition of each operation and maintenance service, corresponding adjustment and improvement measures are formulated.
In the step S1, a multidimensional comprehensive evaluation index system of the comprehensive energy system digital intelligent operation and maintenance service is established, and the primary indexes comprise operation and maintenance service level, service intelligent degree and security management. The operation and maintenance service level comprises operation and maintenance response speed, fault repair time and customer satisfaction; the intelligent degree comprises the application degree of a digital technology and intelligent decision support; security management includes data security, emergency response capability.
In the step S2, relevant data in the actual operation and maintenance business development process is collected, and a scoring model of each index is established:
(1) Operation and maintenance service level
1) Scoring model for operation and maintenance response speed index
The operation and maintenance response time can measure the digital intelligent operation and maintenance service level of the comprehensive energy system. The shorter the operation and maintenance response time is, the higher the operation and maintenance service level is, the higher the index score is, and the specific expression is as follows:
wherein: alpha 1 To evaluate the coefficient of response speed, t av1 For average response time, t SLA1 Response time agreed for service level agreements.
2) Scoring model for fault repair time index
The fault repair time is the maintenance time required for eliminating equipment faults, the shorter the fault repair time is, the higher the operation and maintenance service level is, the higher the index score is, and the specific expression is as follows:
wherein: alpha 2 To repair the time evaluation coefficient, t av2 For average repair time, t SLA2 The longest repair time specified for the service level agreement.
3) Scoring model for customer satisfaction index
Classifying the evaluation types into A, B, C, D, E5 categories according to the client satisfaction survey results, and grading A of each evaluation type 13 S are respectively 31 、s 32 、s 33 、s 34 、s 35 . Wherein s is 31 >s 32 >s 33 >s 34 >s 35 。
(2) Business intelligence degree
1) Scoring model for digital technology application degree index
The application degree of the digitization technology of the digitization intelligent operation and maintenance service of the comprehensive energy system can be measured by counting the number and proportion of equipment, systems and processes adopting the digitization technology. The scoring model expression is as follows:
wherein: alpha, beta and gamma are respectively the weight coefficients of the equipment, the system and the flow, n 1 、n 2 、n 3 The number of the equipment, the system and the flow respectively adopting the digitizing technology, N 1 、N 2 、N 3 Respectively, the total number of devices, systems and processes.
2) Scoring model of intelligent decision support index
The intelligent decision support index is used for evaluating the capability of the operation and maintenance service for providing intelligent decision support, and the stronger the capability is, the higher the service intelligent degree is, the higher the index score is, and the specific expression is as follows:
wherein: mu is an evaluation coefficient, n D1 、n D2 The number of intelligent decisions being invalid and valid, respectively, N being the total traffic.
(3) Security management
1) Scoring model for data security index
The data security of the integrated energy system digital intelligent operation and maintenance service can be evaluated through the integrity, confidentiality and availability of the data. The scoring model expression is as follows:
A 31 ＝L(αX+βY)
wherein: l is the confidentiality level of the data, α and β are the weight coefficients of the data integrity and availability, respectively, and X, Y is the data integrity and availability, respectively.
2) Scoring model for emergency response capability index
The emergency response capability index is used for evaluating the response speed and capability of the operation and maintenance service when the emergency and the security threat are handled, the stronger the response capability is, the higher the security management level is, the higher the index score is, and the specific expression is as follows:
wherein: mu is an evaluation coefficient, n s 、N s Respectively existing emergency resources and required applicationsUrgent resources, n p 、N p The number of active emergency plans and the total number of emergency plans, respectively.
In the step S3, according to the influence degree of each index on the operation and maintenance service implementation effect, an improved hierarchical analysis method is adopted to determine the operation and maintenance service level, the intelligent degree and the weight W of the security management index in the first-level index i The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of operation and maintenance response speed, fault repair time and customer satisfaction in operation and maintenance service level 1j The method comprises the steps of carrying out a first treatment on the surface of the Application degree of digital technology in intelligent degree and weight w of each index supported by intelligent decision 2j The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of data security and emergency response capability in security management 3j . Wherein Sigma W i ＝1，∑w 1j ＝1，∑w 2j ＝1，∑w 3j ＝1。
In the step S4, an operation and maintenance service benefit calculation model is established, and the function expression is as follows:
wherein: a is that i Scoring the ith primary index, A ij The scoring result of the jth secondary index in the ith primary index is S is the scoring result of the operation and maintenance service benefit, W i Weight, w, of the i-th primary index j The weight of the j-th secondary index is given, and n is the index number.
In step S5, corresponding adjustment and improvement measures are formulated according to the benefit evaluation score of each operation and maintenance service. If the service benefit evaluation score S is greater than 80, the good state is kept continuously, and the operation and maintenance experience is accumulated and shared; if the score S is more than 20 and less than 80, analyzing the evaluation result, making an improvement plan, and continuously monitoring and tracking the service improvement effect; if the score S is less than 20, the evaluation result is carefully examined, the problems existing in the service are solved, and the service is optimized or replaced.
A multi-dimensional evaluation device for comprehensive energy digital intelligent operation and maintenance service, the device comprises the following modules:
and (3) establishing a scoring model: selecting relevant indexes for evaluating the digital intelligent operation and maintenance service benefits, and establishing a multi-dimensional comprehensive evaluation index system; the establishment of the scoring model of each index comprises the following steps: operation and maintenance service level, business intelligent degree and security management; the operation and maintenance service level comprises operation and maintenance response speed, fault repair time and customer satisfaction; the intelligent degree of the business comprises the application degree of the digital technology and intelligent decision support; the security management comprises data security and emergency response capability;
a first calculation module: the method comprises the steps of collecting relevant data in the development process of each actual operation and maintenance service, wherein the relevant data comprise response speed, fault repair time, customer satisfaction investigation results, equipment, system quantity and flow quantity and proportion adopting a digital technology, service quantity providing intelligent decision support, data integrity and availability and emergency resource quantity which are required to be evaluated; establishing a scoring model of each index, and calculating the scoring condition of each index;
and an analysis module: determining the weight of each index by adopting an improved analytic hierarchy process according to the influence degree of each index on the operation and maintenance service implementation effect;
a second calculation module: based on the multidimensional comprehensive evaluation index system of the operation and maintenance service, an operation and maintenance service benefit calculation model is established, and the score condition of the operation and maintenance service benefit is calculated.
Further, in the scoring model, the scoring model of the operation and maintenance response speed index is established as follows:
wherein: alpha 1 To evaluate the coefficient of response speed, t av1 For average response time, t SLA1 Response time agreed for service level agreements.
The scoring model of the fault repair time index is as follows:
wherein: alpha 2 To repair the time evaluation coefficient, t av2 For average repair time, t SLA2 The longest repair time specified for the service level agreement;
the scoring model for customer satisfaction index is as follows:
classifying the evaluation types into A, B, C, D, E5 categories according to the client satisfaction survey results, and grading A of each evaluation type 13 S are respectively 31 、s 32 、s 33 、s 34 、s 35 The method comprises the steps of carrying out a first treatment on the surface of the Wherein s is 31 >s 32 >s 33 >s 34 >s 35 。
Further, the scoring model of the application degree index of the digitizing technology is as follows:
wherein: alpha, beta and gamma are respectively the weight coefficients of the equipment, the system and the flow, n 1 、n 2 、n 3 The number of the equipment, the system and the flow respectively adopting the digitizing technology, N 1 、N 2 、N 3 The total number of the equipment, the system and the flow is respectively;
the specific expression of the intelligent decision support index is as follows:
wherein: mu is an evaluation coefficient, n D1 、n D2 Respectively the invalid and valid intelligent decision quantity, wherein N is the total traffic;
the scoring model for the data security index is as follows:
A 31 ＝L(αX+βY)
wherein: l is the confidentiality level of the data, α and β are the weight coefficients of the data integrity and availability, respectively, and X, Y is the data integrity and availability, respectively;
the scoring model of the emergency response capability index is as follows:
wherein: mu is an evaluation coefficient, n s 、N s Respectively existing emergency resources and required emergency resources, n p 、N p The number of active emergency plans and the total number of emergency plans, respectively.
Further, the analysis module adopts an improved analytic hierarchy process to determine the operation and maintenance service level, the intelligent degree and the weight W of the safety management index in the primary index i The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of operation and maintenance response speed, fault repair time and customer satisfaction in operation and maintenance service level 1j The method comprises the steps of carrying out a first treatment on the surface of the Application degree of digital technology in intelligent degree and weight w of each index supported by intelligent decision 2j The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of data security and emergency response capability in security management 3j， Wherein Sigma W i ＝1，∑w 1j ＝1，∑w 2j ＝1，∑w 3j ＝1。
Further, the second calculation module: based on an operation and maintenance service multidimensional comprehensive evaluation index system, an operation and maintenance service benefit calculation model is established, and a function expression is as follows:
wherein: a is that i Scoring the ith primary index, A ij The scoring result of the jth secondary index in the ith primary index is S is the scoring result of the operation and maintenance service benefit, W i For the ith stageWeights of index, w j The weight of the j-th secondary index is given, and n is the index number.
A non-transitory computer readable storage medium storing computer instructions that when executed by a processor implement a main aftershock risk interval computation method based on bayesian update principle.
An electronic device, comprising: the device comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions so as to execute a main aftershock risk interval calculation method based on a Bayesian updating principle.
The beneficial effects of the invention are as follows:
(1) The business benefit of the digital intelligent operation and maintenance is quantitatively evaluated by adopting a plurality of dimensions such as operation and maintenance service level, business intelligent degree, safety management and the like, which is beneficial to the expansion of an operation and maintenance business evaluation system of an electric power enterprise and promotes the development of intelligent operation and maintenance business and the transformation of a traditional operation and maintenance mode.
(2) By establishing a scoring model for each index of the digital intelligent operation and maintenance service evaluation system and weighting by using an improved analytic hierarchy process, the evaluation result of the service benefit is more scientific and accurate, and technical support is provided for continuous improvement and optimization of intelligent operation and maintenance service.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. The drawings in the following description are only examples of embodiments of the present invention and other drawings may be made from these drawings by those of ordinary skill in the art without undue burden.
Fig. 1 is a schematic flow chart of a multi-dimensional evaluation method of comprehensive energy digital intelligent operation and maintenance service provided by the embodiment of the invention.
Fig. 2 is a schematic diagram of connection of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a multi-dimensional evaluation method of comprehensive energy digital intelligent operation and maintenance service, which is characterized in that evaluation indexes capable of covering the benefits of the intelligent operation and maintenance service are selected from multiple dimensions, an evaluation model is constructed, multi-dimensional comprehensive evaluation of the intelligent operation and maintenance service is realized, the expansion of an operation and maintenance service evaluation system of an electric power enterprise is facilitated, an operation and maintenance mode more suitable for the electric power enterprise is found or improved, and a digital intelligent operation and maintenance service market of a comprehensive energy system is established.
A multi-dimensional evaluation method for comprehensive energy digital intelligent operation and maintenance business is shown in figure 1, and comprises the following specific steps:
s1, taking the characteristics of a multi-energy complementary comprehensive energy system into consideration, selecting relevant indexes for evaluating the benefits of the digital intelligent operation and maintenance service, and establishing a multi-dimensional comprehensive evaluation index system;
in a multidimensional comprehensive evaluation index system of the digital intelligent operation and maintenance service of the comprehensive energy system, the primary index comprises operation and maintenance service level, intelligent degree of the service and safety management. The operation and maintenance service level comprises operation and maintenance response speed, fault repair time and customer satisfaction; the intelligent degree comprises the application degree of a digital technology and intelligent decision support; security management includes data security, emergency response capability.
S2, collecting relevant data in the actual operation and maintenance business development process, such as: evaluating the response speed, fault repair time, customer satisfaction survey results, equipment, system, flow quantity and proportion adopting a digital technology, service quantity providing intelligent decision support, data integrity, availability, emergency resource quantity and the like which are required to be used, establishing a scoring model of each index, and calculating the scoring condition of each index;
(1) Operation and maintenance service level
1) Scoring model for operation and maintenance response speed index
The operation and maintenance response time can measure the digital intelligent operation and maintenance service level of the comprehensive energy system. The shorter the operation and maintenance response time is, the higher the operation and maintenance service level is, the higher the index score is, and the specific expression is as follows:
wherein: alpha 1 To evaluate the coefficient of response speed, t av1 For average response time, t SLA1 Response time agreed for service level agreements.
2) Scoring model for fault repair time index
The fault repair time is the maintenance time required for eliminating equipment faults, the shorter the fault repair time is, the higher the operation and maintenance service level is, the higher the index score is, and the specific expression is as follows:
wherein: alpha 2 To repair the time evaluation coefficient, t av2 For average repair time, t SLA2 The longest repair time specified for the service level agreement.
3) Scoring model for customer satisfaction index
Classifying the evaluation types into A, B, C, D, E5 categories according to the client satisfaction survey results, and grading A of each evaluation type 13 S are respectively 31 、s 32 、s 33 、s 34 、s 35 . Wherein s is 31 >s 32 >s 33 >s 34 >s 35 。
(2) Business intelligence degree
1) Scoring model for digital technology application degree index
The application degree of the digitization technology of the digitization intelligent operation and maintenance service of the comprehensive energy system can be measured by counting the number and proportion of equipment, systems and processes adopting the digitization technology. The scoring model expression is as follows:
wherein: alpha, beta and gamma are respectively the weight coefficients of the equipment, the system and the flow, n 1 、n 2 、n 3 The number of the equipment, the system and the flow respectively adopting the digitizing technology, N 1 、N 2 、N 3 Respectively, the total number of devices, systems and processes.
2) Scoring model of intelligent decision support index
The intelligent decision support index is used for evaluating the capability of the operation and maintenance service for providing intelligent decision support, and the stronger the capability is, the higher the service intelligent degree is, the higher the index score is, and the specific expression is as follows:
wherein: mu is an evaluation coefficient, n D1 、n D2 The number of intelligent decisions being invalid and valid, respectively, N being the total traffic.
(3) Security management
1) Scoring model for data security index
The data security of the integrated energy system digital intelligent operation and maintenance service can be evaluated through the integrity, confidentiality and availability of the data. The scoring model expression is as follows:
A 31 ＝L(αX+βY)
wherein: l is the confidentiality level of the data, α and β are the weight coefficients of the data integrity and availability, respectively, and X, Y is the data integrity and availability, respectively.
2) Scoring model for emergency response capability index
The emergency response capability index is used for evaluating the response speed and capability of the operation and maintenance service when the emergency and the security threat are handled, the stronger the response capability is, the higher the security management level is, the higher the index score is, and the specific expression is as follows:
wherein: mu is an evaluation coefficient, n s 、N s Respectively existing emergency resources and required emergency resources, n p 、N p The number of active emergency plans and the total number of emergency plans, respectively.
S3, determining the weight of each index by adopting an improved analytic hierarchy process according to the influence degree of each index on the operation and maintenance service implementation effect;
and comparing the relative importance degrees of all indexes in the index system in pairs according to comprehensive and objective fuzzy judgment on the actual problems of the operation and maintenance service, and establishing a priority judgment matrix. Determining operation and maintenance service level, intelligent degree and weight W of safety management index in primary index by adopting improved analytic hierarchy process i The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of operation and maintenance response speed, fault repair time and customer satisfaction in operation and maintenance service level 1j The method comprises the steps of carrying out a first treatment on the surface of the Application degree of digital technology in intelligent degree and weight w of each index supported by intelligent decision 2j The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of data security and emergency response capability in security management 3j . Wherein Sigma W i ＝1，∑w 1j ＝1，∑w 2j ＝1，∑w 3j ＝1。
S4, based on the multidimensional comprehensive evaluation index system of the operation and maintenance service, an operation and maintenance service benefit calculation model is established, and the score condition of the operation and maintenance service benefit is calculated;
the established operation and maintenance service benefit calculation model is as follows:
wherein: a is that i Scoring the ith primary index, A ij The scoring result of the jth secondary index in the ith primary index is S is the scoring result of the operation and maintenance service benefit, W i Weight, w, of the i-th primary index j The weight of the j-th secondary index is given, and n is the index number.
Relevant data of the digital intelligent operation and maintenance service of the actually developed comprehensive energy system are collected, wherein the relevant data comprise response speed, fault repair time, customer satisfaction investigation results, the quantity and proportion of equipment, systems and processes adopting a digital technology, the quantity of services providing intelligent decision support, data integrity and availability, emergency resource quantity and the like. Obtaining the score A of each index according to the scoring model of each secondary index ij According to the weight of the index, calculating a first-level index score A i And calculating the score S of the operation and maintenance service benefit according to a scoring calculation formula of the operation and maintenance service benefit.
And S5, according to the benefit evaluation score condition of each operation and maintenance service, corresponding adjustment and improvement measures are formulated.
If the intelligent operation and maintenance service benefit evaluation score S is greater than 80, the service is well performed on various indexes, the expected target is reached or exceeded, the good state is kept continuously, and the operation and maintenance experience is continuously accumulated and shared; if the score S is more than 20 and less than 80, the service is not up to the expected level on some indexes, and needs to be improved, an improvement plan is formulated according to the evaluation result, and the service improvement effect is continuously monitored and tracked; if the score S is smaller than 20, the service has larger problems or risks, the evaluation result is carefully inspected, urgent treatment measures are adopted to solve the problems, and the service is optimized or replaced.
A multi-dimensional evaluation device for comprehensive energy digital intelligent operation and maintenance service, the device comprises the following modules:
and (3) establishing a scoring model: selecting relevant indexes for evaluating the digital intelligent operation and maintenance service benefits, and establishing a multi-dimensional comprehensive evaluation index system; the establishment of the scoring model of each index comprises the following steps: operation and maintenance service level, business intelligent degree and security management; the operation and maintenance service level comprises operation and maintenance response speed, fault repair time and customer satisfaction; the intelligent degree of the business comprises the application degree of the digital technology and intelligent decision support; the security management comprises data security and emergency response capability;
a first calculation module: collecting data in the actual operation and maintenance business development process, establishing a scoring model of each index, and calculating the scoring condition of each index;
the scoring model of the operation and maintenance response speed index is as follows:
wherein: alpha 1 To evaluate the coefficient of response speed, t av1 For average response time, t SLA1 Response time agreed for service level agreements.
The scoring model of the fault repair time index is as follows:
wherein: alpha 2 To repair the time evaluation coefficient, t av2 For average repair time, t SLA2 The longest repair time specified for the service level agreement;
the scoring model for customer satisfaction index is as follows:
classifying the evaluation types into A, B, C, D, E5 categories according to the client satisfaction survey results, and grading A of each evaluation type 13 S are respectively 31 、s 32 、s 33 、s 34 、s 35 The method comprises the steps of carrying out a first treatment on the surface of the Wherein s is 31 >s 32 >s 33 >s 34 >s 35 ；
The scoring model of the digital technology application degree index is as follows:
wherein: alpha, beta and gamma are respectively the weight coefficients of the equipment, the system and the flow, n 1 、n 2 、n 3 The number of the equipment, the system and the flow respectively adopting the digitizing technology, N 1 、N 2 、N 3 The total number of the equipment, the system and the flow is respectively;
the specific expression of the intelligent decision support index is as follows:
wherein: mu is an evaluation coefficient, n D1 、n D2 Respectively the invalid and valid intelligent decision quantity, wherein N is the total traffic;
the scoring model for the data security index is as follows:
A 31 ＝L(αX+βY)
wherein: l is the confidentiality level of the data, α and β are the weight coefficients of the data integrity and availability, respectively, and X, Y is the data integrity and availability, respectively;
the scoring model of the emergency response capability index is as follows:
wherein: mu is an evaluation coefficient, n s 、N s Respectively existing emergency resources and required emergency resources, n p 、N p The number of active emergency plans and the total number of emergency plans, respectively.
And an analysis module: determining the weight of each index by adopting an improved analytic hierarchy process according to the influence degree of each index on the operation and maintenance service implementation effect;
determining operation and maintenance service level, intelligent degree and weight W of safety management index in primary index by adopting improved analytic hierarchy process i The method comprises the steps of carrying out a first treatment on the surface of the Operation and maintenance service level middle operationWeight w of each index of maintenance response speed, fault repair time and customer satisfaction 1j The method comprises the steps of carrying out a first treatment on the surface of the Application degree of digital technology in intelligent degree and weight w of each index supported by intelligent decision 2j The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of data security and emergency response capability in security management 3j Wherein Sigma W i ＝1，∑w 1j ＝1，∑w 2j ＝1，∑w 3j ＝1。
A second calculation module: based on an operation and maintenance service multidimensional comprehensive evaluation index system, an operation and maintenance service benefit calculation model is established, and a function expression is as follows:
wherein: a is that i Scoring the ith primary index, A ij The scoring result of the jth secondary index in the ith primary index is S is the scoring result of the operation and maintenance service benefit, W i Weight, w, of the i-th primary index j The weight of the j-th secondary index is given, and n is the index number;
and calculating the score condition of the operation and maintenance service benefit.
The present invention also provides an electronic device, as shown in fig. 2, which may include a processor 901 and a memory 902, where the processor 901 and the memory 902 may be connected by a bus or other means, and the connection is illustrated as a bus.
The processor 901 may be a central processing unit (Central Processing Unit, CPU). The processor 901 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination thereof.
The memory 902 is used as a non-transitory computer readable storage medium for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the methods of the embodiments of the present invention. The processor 901 performs various functional applications of the processor and data processing, i.e., implements the above-described methods, by running non-transitory software programs, instructions, and modules stored in the memory 902.
The memory 902 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created by the processor 901, and the like. In addition, the memory 902 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 902 optionally includes memory remotely located relative to processor 901, which may be connected to processor 901 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 902 that, when executed by the processor 901, perform the methods described above.
The specific details of the electronic device may be correspondingly understood by referring to the corresponding related descriptions and effects in the above method embodiments, which are not repeated herein.
It will be appreciated by those skilled in the art that implementing all or part of the above-described methods in the embodiments may be implemented by a computer program for instructing relevant hardware, and the calculated program may be stored in a computer readable storage medium, and the program may include the steps of the embodiments of the above-described methods when executed. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
The above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the scope of the claims.
Claims (14)
1. A multi-dimensional evaluation method for comprehensive energy digital intelligent operation and maintenance business is characterized by comprising the following steps:
s1, selecting and evaluating related indexes of the digital intelligent operation and maintenance service benefits of the comprehensive energy system, and establishing a multi-dimensional comprehensive evaluation index system;
s2, collecting relevant data in the actual operation and maintenance business development process, establishing a scoring model of each index, and calculating the scoring condition of each index;
s3, determining the weight of each index by adopting an improved analytic hierarchy process according to the influence degree of each index on the operation and maintenance service implementation effect;
and S4, based on the operation and maintenance service multidimensional comprehensive evaluation index system, an operation and maintenance service benefit calculation model is established, and the score condition of the operation and maintenance service benefit is calculated.
2. The multi-dimensional evaluation method for comprehensive energy digitized intelligent operation and maintenance service according to claim 1, wherein in step S1, in the multi-dimensional comprehensive evaluation index system, establishing a scoring model for each index comprises: operation and maintenance service level, business intelligent degree and security management; the operation and maintenance service level comprises operation and maintenance response speed, fault repair time and customer satisfaction; the intelligent degree of the business comprises the application degree of the digital technology and intelligent decision support; security management includes data security, emergency response capability.
3. The multi-dimensional evaluation method of comprehensive energy digital intelligent operation and maintenance service according to claim 1, wherein in step S2, relevant data in the actual operation and maintenance service development process is collected, including response speed, fault repair time, customer satisfaction survey result, equipment, system and flow quantity and proportion adopting digital technology, service quantity providing intelligent decision support, data integrity and availability and emergency resource quantity required for evaluation.
4. The multi-dimensional evaluation method of comprehensive energy digital intelligent operation and maintenance service according to claim 2, wherein the scoring model of the operation and maintenance response speed index is as follows:
wherein: alpha 1 To evaluate the coefficient of response speed, t av1 For average response time, t SLA1 Response time agreed for service level agreements;
the scoring model of the fault repair time index is as follows:
wherein: alpha 2 To repair the time evaluation coefficient, t av2 For average repair time, t SLA2 The longest repair time specified for the service level agreement;
the scoring model for customer satisfaction index is as follows:
classifying the evaluation types into A, B, C, D, E5 categories according to the client satisfaction survey results, and grading A of each evaluation type 13 S are respectively 31 、s 32 、s 33 、s 34 、s 35 The method comprises the steps of carrying out a first treatment on the surface of the Wherein s is 31 >s 32 >s 33 >s 34 >s 35 。
5. The multi-dimensional evaluation method of comprehensive energy digitized intelligent operation and maintenance service according to claim 2, wherein a scoring model of the application degree index of the digitizing technology is as follows:
wherein: alpha, beta and gamma are respectively the weight coefficients of the equipment, the system and the flow, n 1 、n 2 、n 3 The number of the equipment, the system and the flow respectively adopting the digitizing technology, N 1 、N 2 、N 3 The total number of the equipment, the system and the flow is respectively;
the specific expression of the intelligent decision support index is as follows:
wherein: mu is an evaluation coefficient, n D1 、n D2 Respectively the invalid and valid intelligent decision quantity, wherein N is the total traffic;
the scoring model for the data security index is as follows:
A 31 ＝L(αX+βY)
wherein: l is the confidentiality level of the data, α and β are the weight coefficients of the data integrity and availability, respectively, and X, Y is the data integrity and availability, respectively;
the scoring model of the emergency response capability index is as follows:
wherein: mu is an evaluation coefficient, n s 、N s Respectively existing emergency resources and required emergency resources, n p 、N p Respectively the number of effective emergency plans and the totalEmergency plan number.
6. The multi-dimensional evaluation method of comprehensive energy digitized intelligent operation and maintenance service according to claim 1, wherein in step S3, according to the influence degree of each index on the operation and maintenance service implementation effect, an improved hierarchical analysis method is adopted to determine the operation and maintenance service level, the intelligent degree and the weight W of the security management index in the primary index i The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of operation and maintenance response speed, fault repair time and customer satisfaction in operation and maintenance service level 1j The method comprises the steps of carrying out a first treatment on the surface of the Application degree of digital technology in intelligent degree and weight w of each index supported by intelligent decision 2j The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of data security and emergency response capability in security management 3j Wherein Sigma W i ＝1，∑w 1j ＝1，∑w 2j ＝1，∑w 3j ＝1。
7. The multi-dimensional evaluation method of comprehensive energy digital intelligent operation and maintenance service according to claim 1, wherein in the step S4, an operation and maintenance service benefit calculation model is established, and the function expression is as follows:
wherein: a is that i Scoring the ith primary index, A ij The scoring result of the jth secondary index in the ith primary index is S is the scoring result of the operation and maintenance service benefit, W i Weight, w, of the i-th primary index j The weight of the j-th secondary index is given, and n is the index number.
8. A multi-dimensional evaluation device for comprehensive energy digital intelligent operation and maintenance service, the device comprises the following modules:
and (3) establishing a scoring model: selecting relevant indexes for evaluating the digital intelligent operation and maintenance service benefits, and establishing a multi-dimensional comprehensive evaluation index system; the establishment of the scoring model of each index comprises the following steps: operation and maintenance service level, business intelligent degree and security management; the operation and maintenance service level comprises operation and maintenance response speed, fault repair time and customer satisfaction; the intelligent degree of the business comprises the application degree of the digital technology and intelligent decision support; the security management comprises data security and emergency response capability;
a first calculation module: the method comprises the steps of collecting relevant data in the development process of each actual operation and maintenance service, wherein the relevant data comprise response speed, fault repair time, customer satisfaction investigation results, equipment, system quantity and flow quantity and proportion adopting a digital technology, service quantity providing intelligent decision support, data integrity and availability and emergency resource quantity which are required to be evaluated; establishing a scoring model of each index, and calculating the scoring condition of each index;
and an analysis module: determining the weight of each index by adopting an improved analytic hierarchy process according to the influence degree of each index on the operation and maintenance service implementation effect;
a second calculation module: based on the multidimensional comprehensive evaluation index system of the operation and maintenance service, an operation and maintenance service benefit calculation model is established, and the score condition of the operation and maintenance service benefit is calculated.
9. The multi-dimensional evaluation device for comprehensive energy digital intelligent operation and maintenance service according to claim 8, wherein the multi-dimensional evaluation device is characterized in that:
and establishing a scoring model of the operation and maintenance response speed index as follows:
wherein: alpha 1 To evaluate the coefficient of response speed, t av1 For average response time, t SLA1 Response time agreed for service level agreements.
The scoring model of the fault repair time index is as follows:
wherein: alpha 2 To repair the time evaluation coefficient, t av2 For average repair time, t SLA2 The longest repair time specified for the service level agreement;
the scoring model for customer satisfaction index is as follows:
classifying the evaluation types into A, B, C, D, E5 categories according to the client satisfaction survey results, and grading A of each evaluation type 13 S are respectively 31 、s 32 、s 33 、s 34 、s 35 The method comprises the steps of carrying out a first treatment on the surface of the Wherein s is 31 >s 32 >s 33 >s 34 >s 35 。
10. The multi-dimensional evaluation device for comprehensive energy digital intelligent operation and maintenance service according to claim 8, wherein the multi-dimensional evaluation device is characterized in that:
the scoring model of the digital technology application degree index is as follows:
wherein: alpha, beta and gamma are respectively the weight coefficients of the equipment, the system and the flow, n 1 、n 2 、n 3 The number of the equipment, the system and the flow respectively adopting the digitizing technology, N 1 、N 2 、N 3 The total number of the equipment, the system and the flow is respectively;
the specific expression of the intelligent decision support index is as follows:
wherein: mu is an evaluation coefficient, n D1 、n D2 Respectively are invalidAnd the effective intelligent decision quantity, N is the total traffic;
the scoring model for the data security index is as follows:
A 31 ＝L(αX+βY)
wherein: l is the confidentiality level of the data, α and β are the weight coefficients of the data integrity and availability, respectively, and X, Y is the data integrity and availability, respectively;
the scoring model of the emergency response capability index is as follows:
wherein: mu is an evaluation coefficient, n s 、N s Respectively existing emergency resources and required emergency resources, n p 、N p The number of active emergency plans and the total number of emergency plans, respectively.
11. The multi-dimensional evaluation device for comprehensive energy digital intelligent operation and maintenance service according to claim 8, wherein the multi-dimensional evaluation device is characterized in that:
and an analysis module: determining operation and maintenance service level, intelligent degree and weight W of safety management index in primary index by adopting improved analytic hierarchy process i The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of operation and maintenance response speed, fault repair time and customer satisfaction in operation and maintenance service level 1j The method comprises the steps of carrying out a first treatment on the surface of the Application degree of digital technology in intelligent degree and weight w of each index supported by intelligent decision 2j The method comprises the steps of carrying out a first treatment on the surface of the Weight w of each index of data security and emergency response capability in security management 3j Wherein Sigma W i ＝1，∑w 1j ＝1，∑w 2j ＝1，∑w 3j ＝1。
12. The multi-dimensional evaluation device for comprehensive energy digital intelligent operation and maintenance service according to claim 8, wherein the multi-dimensional evaluation device is characterized in that:
a second calculation module: based on an operation and maintenance service multidimensional comprehensive evaluation index system, an operation and maintenance service benefit calculation model is established, and a function expression is as follows:
wherein: a is that i Scoring the ith primary index, A ij The scoring result of the jth secondary index in the ith primary index is S is the scoring result of the operation and maintenance service benefit, W i Weight, w, of the i-th primary index j The weight of the j-th secondary index is given, and n is the index number.
13. A non-transitory computer readable storage medium storing computer instructions which, when executed by a processor, implement the main aftershock risk interval calculation method based on bayesian update principle according to any one of claims 1-7.
14. An electronic device, comprising: the main aftershock risk interval calculation method based on the Bayesian updating principle as claimed in any one of claims 1-7 is implemented by the processor and the memory, wherein the memory is in communication connection with the processor, and the memory stores computer instructions.
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