CN115204608A - Method and device for determining quality index of power grid project and computer equipment - Google Patents
Method and device for determining quality index of power grid project and computer equipment Download PDFInfo
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Abstract
The application relates to a method, a device and computer equipment for determining a power grid engineering quality index, wherein the method comprises the following steps: establishing an evaluation index system aiming at the power grid project; respectively acquiring classification attribute index values of the power grid project under each primary classification attribute index in a current calculation period and a reference comparison period; for each primary classification attribute index, obtaining a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period; obtaining a quality index of the power grid project according to the classification index under each primary classification attribute index; the power grid engineering quality index represents the relative number of the degree of change of the power grid engineering quality level. By adopting the method, the expected control and the prior management of the engineering quality can be realized, and the engineering quality can be comprehensively improved by assistance.
Description
Technical Field
The present application relates to the field of power grid security technologies, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for determining a quality index of a power grid project.
Background
The power grid construction project is used as an energy infrastructure, the construction quality of the power grid construction project directly influences the social and economic development and the daily life of people, and therefore the quality management of the power grid construction project is made to be very important.
At present, in the aspect of power grid quality safety, a mathematical model of 'quality calculation index' is established through a series of qualitative or quantitative data and a mathematical statistics theory by adopting a point-surface combination method, so that the quality condition of building engineering in a local area is reflected, or the engineering quality is judged by constructing a mathematical model applying a fuzzy mathematical theory. However, these studies have only been left to reflect the level of construction quality for some period of time in the past, and do not consider how to achieve the desired control and prior management of construction quality issues.
Disclosure of Invention
Based on this, it is necessary to provide a method, an apparatus, a computer device, a computer readable storage medium and a computer program product for determining a grid project quality index, aiming at the technical problems that the above researches only stay at reflecting the project quality level of a certain period in the past, and how to realize the expected control and prior management of the construction project quality problem is not considered.
In a first aspect, the application provides a method for determining a power grid engineering quality index. The method comprises the following steps:
establishing an evaluation index system aiming at the power grid project; the evaluation index system comprises a plurality of first-level classification attribute indexes, a plurality of second-level classification attribute indexes corresponding to the first-level classification attribute indexes, a plurality of third-level classification attribute indexes corresponding to the second-level classification attribute indexes, and a directed relationship between the classification attribute indexes of adjacent levels;
respectively acquiring classification attribute index values of the power grid project under each primary classification attribute index in a current calculation period and a reference comparison period;
for each primary classification attribute index, obtaining a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period;
obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index; the power grid engineering quality index represents a relative number of the degree of change of the power grid engineering quality level.
In one embodiment, the obtaining a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period includes:
and acquiring the ratio of the first classification attribute index value to the second classification attribute index value of the first-class classification attribute index as the classification index corresponding to the first-class classification attribute index.
In one embodiment, the obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index includes:
acquiring a weight coefficient corresponding to each primary classification attribute index; the weight coefficient represents the influence degree of the primary classification attribute index on the quality of the power grid project;
and weighting and summing the classification indexes under the primary classification attribute indexes through the weight coefficients to obtain the quality index of the power grid project.
In one embodiment, the establishing an evaluation index system for power grid engineering includes:
collecting index sample data; the index sample data is determined by a plurality of sampling methods;
identifying evaluation indexes influencing the engineering quality from the index sample data through a historical power grid engineering quality evaluation case;
and processing the identified evaluation index through an analytic hierarchy process to obtain an evaluation index system aiming at the power grid engineering.
In one embodiment, the classification attribute index value of the power grid project under any one of the first-level classification attribute indexes is determined by the following method:
acquiring an index value of a secondary classification attribute index associated with the primary classification attribute index and a first weighting factor corresponding to the associated secondary classification attribute index; the first weighting factor represents the influence degree of the secondary classification attribute indexes on the associated primary classification attribute indexes;
and obtaining the classification attribute index value under the primary classification attribute index based on the index value of the associated secondary classification attribute index and the first weighting factor.
In one embodiment, the index value of any secondary classification attribute index is determined by:
acquiring an index value of a third-level classification attribute index associated with the second-level classification attribute index and a second weighting factor of the associated third-level classification attribute index; the second weighting factor represents the influence degree of the third-level classification attribute indexes on the associated second-level classification attribute indexes;
and obtaining a classification attribute index value under the secondary classification attribute index based on the index value of the associated tertiary classification attribute index and the second weighting factor.
In a second aspect, the application further provides a device for determining the quality index of the power grid engineering. The device comprises:
the evaluation system establishing module is used for establishing an evaluation index system aiming at the power grid project; the evaluation index system comprises a plurality of first-level classification attribute indexes, a plurality of second-level classification attribute indexes corresponding to the first-level classification attribute indexes, a plurality of third-level classification attribute indexes corresponding to the second-level classification attribute indexes, and a directed relationship between the classification attribute indexes of adjacent levels;
the index value acquisition module is used for respectively acquiring classification attribute index values of the power grid engineering under each primary classification attribute index in a current calculation period and a reference comparison period;
a classification index determination module, configured to obtain, for each primary classification attribute index, a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period;
the quality index determining module is used for obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index; the power grid engineering quality index represents the relative number of the degree of change of the power grid engineering quality level.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
establishing an evaluation index system for the power grid project; the evaluation index system comprises a plurality of first-level classification attribute indexes, a plurality of second-level classification attribute indexes corresponding to the first-level classification attribute indexes, a plurality of third-level classification attribute indexes corresponding to the second-level classification attribute indexes, and a directed relationship between the classification attribute indexes of adjacent levels;
respectively acquiring classification attribute index values of the power grid project under each primary classification attribute index in a current calculation period and a reference comparison period;
for each primary classification attribute index, obtaining a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period;
obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index; the power grid engineering quality index represents a relative number of the degree of change of the power grid engineering quality level.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
establishing an evaluation index system aiming at the power grid project; the evaluation index system comprises a plurality of first-level classification attribute indexes, a plurality of second-level classification attribute indexes corresponding to the first-level classification attribute indexes, a plurality of third-level classification attribute indexes corresponding to the second-level classification attribute indexes, and a directed relationship between the classification attribute indexes of adjacent levels;
respectively acquiring classification attribute index values of the power grid engineering under each primary classification attribute index in a current calculation period and a reference comparison period;
for each primary classification attribute index, obtaining a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period;
obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index; the power grid engineering quality index represents a relative number of the degree of change of the power grid engineering quality level.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprising a computer program which when executed by a processor performs the steps of:
establishing an evaluation index system for the power grid project; the evaluation index system comprises a plurality of first-level classification attribute indexes, a plurality of second-level classification attribute indexes corresponding to the first-level classification attribute indexes, a plurality of third-level classification attribute indexes corresponding to the second-level classification attribute indexes, and a directed relationship between the classification attribute indexes of adjacent levels;
respectively acquiring classification attribute index values of the power grid engineering under each primary classification attribute index in a current calculation period and a reference comparison period;
for each primary classification attribute index, obtaining a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period;
obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index; the power grid engineering quality index represents the relative number of the degree of change of the power grid engineering quality level.
According to the method, the classification indexes of the primary classification attribute indexes are obtained through the primary classification attribute index values of the current calculation period and the reference comparison period, the quality index is further determined according to the classification indexes, so that the quality index can reflect engineering quality changes in different periods, development change tracks and development situations of engineering quality levels can be obtained, important bases are provided for enterprises to make scientific decisions and effective measures, expected control and prior management of engineering quality are achieved, and engineering quality is comprehensively improved in an assisting manner.
Drawings
FIG. 1 is a diagram of an application environment of a method for determining a power grid project quality index according to an embodiment;
FIG. 2 is a diagram showing a manner of determining an evaluation index in one embodiment;
FIG. 3 is a schematic diagram of the overall structure of an evaluation index system of the power grid engineering in one embodiment;
FIG. 4 is a schematic flow chart of a method for determining a grid project quality index in another embodiment;
FIG. 5 is a block diagram of an embodiment of a device for determining a grid project quality index;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. It should be further noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party.
In an embodiment, as shown in fig. 1, a method for determining a power grid engineering quality index is provided, and this embodiment is illustrated by applying the method to a terminal, it is to be understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and is implemented by interaction between the terminal and the server. The terminal can be but not limited to various personal computers, notebook computers, smart phones, tablet computers, internet of things equipment and portable wearable equipment, and the internet of things equipment can be smart sound boxes, smart televisions, smart air conditioners, smart vehicle-mounted equipment and the like. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, and the like. The server may be implemented as a stand-alone server or as a server cluster comprised of multiple servers. In this embodiment, the method includes the steps of:
step S110, establishing an evaluation index system aiming at the power grid project; the evaluation index system comprises a plurality of first-level classification attribute indexes, a plurality of second-level evaluation classification attribute indexes corresponding to the first-level classification attribute indexes, a plurality of third-level classification attribute evaluation indexes corresponding to the second-level classification attribute evaluation indexes, and a directed relationship between the classification attribute evaluation indexes of adjacent levels.
Wherein, the second-level classification attribute index represents an index obtained by decomposing the first-level classification attribute index. The third-level classification attribute indexes represent indexes influencing the results of the second-level classification attribute indexes, each third-level classification attribute index is respectively associated with a corresponding second-level classification attribute index, and each second-level classification attribute index corresponds to at least one third-level classification attribute index.
The first-level classification attribute indexes can comprise construction quality acceptance indexes, supervision and inspection indexes, social supervision indexes, engineering quality monitoring indexes, major quality accident indexes and prize winning engineering indexes.
The second-level classification attribute indexes can comprise construction quality first-time acceptance check qualification indexes, processed acceptance check indexes, impression quality good indexes, engineering entity quality supervision and spot inspection qualification indexes, engineering quality inspection qualification indexes, quality complaint indexes, engineering quality repair indexes, engineering quality supervised index design file inspection indexes, major quality accident indexes and prize winning engineering indexes.
The three-level attribute indexes comprise construction quality one-time acceptance qualification rate, foundation processed passing acceptance rate, main structure processed passing acceptance rate, electrical installation processed passing acceptance rate, other use functions, environment quality processed passing acceptance rate, impression quality qualification rate, supervision and spot check civil engineering qualification rate, supervision and spot check electrical installation engineering qualification rate and the like.
In the concrete implementation, index sample data can be acquired through various sampling methods, evaluation indexes influencing the engineering quality are identified from the index sample data through historical power grid engineering quality evaluation cases, and the identified evaluation indexes are processed through an analytic hierarchy process to obtain an evaluation index system aiming at the power grid engineering.
And step S120, respectively acquiring classification attribute index values of the power grid project under each primary classification attribute index in the current calculation period and the reference comparison period.
The reference comparison period is a normal period or a typical period, and the time interval between the current calculation period and the reference comparison period is in positive correlation with the development change speed of the power grid project, namely, the faster the development change of the power grid project is, the shorter the adaptability of the time interval is, and the slower the development change of the power grid project is, the longer the adaptability of the time interval is.
In a specific implementation, for each primary classification attribute index, an index value of a secondary classification attribute index associated with the primary classification attribute index and a weighting factor corresponding to the associated secondary classification attribute index may be obtained, and a classification attribute index value under the primary classification attribute index is obtained based on the index value and the weighting factor. The index value of the second-level classification attribute index can be obtained by weighting and summing the index value of the associated third-level classification attribute index and the weighting factor of the third-level classification attribute index.
Step S130, aiming at each first-class classification attribute index, obtaining a classification index corresponding to the first-class classification attribute index of the classification attribute index based on a first classification attribute index value of the first-class classification attribute index in the current calculation period and a second classification attribute index value of the first-class classification attribute index in the reference comparison period.
Further, in an exemplary embodiment, the step S130 includes: and acquiring the ratio of the first classification attribute index value to the second classification attribute index value of the first classification attribute index as the classification index corresponding to the first classification attribute index.
In specific implementation, for any one primary classification attribute index, a first classification attribute index value in the current calculation period is set as Q i The index value of the second classification attribute in the reference comparison period is Q 0 Then, the classification index K corresponding to the first-level classification attribute index can be expressed by the following relation:
K＝Q i /Q 0 ×β
wherein, β represents an adjustment coefficient, β =100, if the K value is greater than 100, the quality level of the power grid project is improved, otherwise, the quality level of the power grid project is reduced.
Step S140, obtaining a quality index of the power grid project according to the classification index under the primary classification attribute index of each classification attribute index; the power grid engineering quality index represents a relative number of the degree of change of the power grid engineering quality level.
In specific implementation, a weight coefficient corresponding to each primary classification attribute index can be obtained; and the weight coefficient represents the influence degree of the first-grade classification attribute indexes on the quality of the power grid project, and the classification indexes under the first-grade classification attribute indexes are subjected to weighted summation processing through the weight coefficient to obtain the quality index of the power grid project.
According to the method for determining the power grid engineering quality index, the classification index of each primary classification attribute index is obtained through the primary classification attribute index values of the current calculation period and the reference comparison period, and then the quality index is determined according to each classification index, so that the quality index can reflect engineering quality changes in different periods, development change tracks and development situations of engineering quality levels can be obtained, important bases are provided for enterprises to make scientific decisions and effective measures, expected control and prior management of engineering quality are achieved, and engineering quality is comprehensively improved through assistance.
In an exemplary embodiment, in the step S140, obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index includes:
step S140A, acquiring a weight coefficient corresponding to each primary classification attribute index; the weight coefficient represents the influence degree of the first-grade classification attribute index on the quality of the power grid project;
and step S140B, weighting and summing the classification indexes under each primary classification attribute index through the weight coefficient to obtain the quality index of the power grid project.
In the concrete implementation, each first-level classification attribute index is set as q i The weight coefficient corresponding to each primary classification attribute index is w i The quality index Z of the grid project may be expressed as:
Z＝q 1 *w 1 +q 2 *w 2 +…q i *w i …+q n *w n
where n represents the total number of first-level classification attribute metrics.
In this embodiment, the classification indexes under each primary classification attribute index are subjected to weighted summation processing through the weight coefficient corresponding to each primary classification attribute index, so as to obtain the quality index of the power grid engineering, which can improve the quantitative determination of the determined power grid working quality, and facilitate the subsequent analysis and research of quality problems.
In an exemplary embodiment, in the step S110, establishing an evaluation index system for the power grid project includes:
step S110A, collecting index sample data; the index sample data is determined by a plurality of sampling methods;
step S110B, identifying evaluation indexes influencing the engineering quality from the index sample data through historical power grid engineering quality evaluation cases;
and S110C, processing the identified evaluation index through an analytic hierarchy process to obtain an evaluation index system for the power grid project.
Wherein the sampling method may include at least two of simple random sampling, hierarchical sampling, whole group sampling, multi-order sampling, and systematic sampling (equidistant sampling).
Specifically, the determination method of the evaluation index can refer to fig. 2, in order to avoid repetition, the identification of the evaluation index can be performed by using a delphif method and a brainstorming method, in order to recognize the evaluation index as scientifically and comprehensively as possible and highlight the special requirements of the engineering quality evaluation, the case of the conventional power grid engineering project quality evaluation can be analyzed first, and the evaluation index with the engineering quality specificity can be recognized through the conventional engineering list and quality problem analysis. Then, a first expert interview is carried out, the situation of the prior case analysis is reported to each expert, and as many evaluation indexes as possible are identified by using a causal analysis method and a brainstorming method. And finally, carrying out second expert interview through comparison and screening, reporting the first expert interview result to each expert, carrying out comparison and screening, and finally determining a representative, comprehensive and scientific evaluation index.
Further, the establishment of the evaluation index system comprises the selection of evaluation indexes and the determination of index weights, and in consideration of the characteristics of power grid engineering quality formation, a comprehensive evaluation index hierarchical structure model is constructed and the index weights are determined by adopting a hierarchical analysis theory. The basic idea of the analytic hierarchy process is to decompose and then synthesize a system idea, firstly, to hierarchy the problem to be analyzed, decompose the problem into different composition factors according to the property of the problem and the general target to be achieved, and gather and combine the factors according to different levels according to the interrelation and membership among the factors to form a multi-layer analytic structure model, and finally, the multi-layer analytic structure model is summarized into the problem of the weight or relative order of the relative importance degree of the lowest layer (scheme, measure, index and the like) relative to the highest layer (general target). When the analytic hierarchy process is used for decision making, the following 4 steps are needed:
(1) And establishing a hierarchical structure model. Namely, the system is divided into a plurality of levels according to different targets and differences of implementation functions.
(2) And constructing a judgment matrix. That is, the importance of each element in the same level with respect to a criterion in the previous level is compared pairwise, and a judgment matrix for pairwise comparison is constructed.
(3) And (5) performing hierarchical single ordering and consistency checking. That is, the relative weight of the compared element to the criterion is calculated by the judgment matrix, and the consistency check of the judgment matrix is carried out.
(4) And (5) carrying out overall hierarchical ordering and consistency check. And calculating the total sorting weight of each layer of elements to the system target, and performing consistency check on the judgment matrix.
For comprehensive evaluation of the power grid engineering quality level, a hierarchical structure model of a target layer, an attribute layer and an index layer can be adopted. The final reflection of the power grid engineering quality condition is a comprehensive evaluation index of the power grid engineering quality, and evaluation indexes of different levels form an evaluation index system for multi-azimuth description of the power grid engineering quality, as shown in fig. 3, the evaluation index system of the power grid is constructed from macro to micro for an overall structural schematic diagram of the evaluation index system of the power grid engineering.
In the embodiment, reasonable evaluation indexes are selected by combining a scientific index election method on the basis of historical power grid engineering quality evaluation cases from the specific actual conditions of power grid engineering, so that the artificial subjectivity is avoided, the selected evaluation indexes can reflect the specific conditions of the actual power grid engineering, and the accuracy of evaluation results is improved.
In an exemplary embodiment, the classification attribute index value of the power grid engineering under any one of the primary classification attribute indexes is determined by the following method:
acquiring an index value of a secondary classification attribute index associated with the primary classification attribute index and a first weighting factor corresponding to the associated secondary classification attribute index;
and obtaining the classification attribute index value under the primary classification attribute index based on the index value of the associated secondary classification attribute index and the first weighting factor.
Further, in an exemplary embodiment, the index value of the secondary classification attribute index may be determined by:
acquiring an index value of a third-level classification attribute index associated with the second-level classification attribute index and a second weighting factor corresponding to the associated third-level classification attribute index;
and obtaining the index value of the second-level classification attribute index based on the index value of the associated third-level classification attribute index and the second weighting factor.
And the first weighting factor represents the influence degree of the secondary classification attribute indexes on the associated primary classification attribute indexes.
And the second weighting factor represents the influence degree of the third-level classification attribute index on the associated second-level classification attribute index.
Specifically, the classification attribute index value under the first-level classification attribute index may be determined by the following relation:
q＝Σt i /Σ∣a i ∣
wherein q represents the index value of the first class classification attribute index, t i Index value representing a secondary classification attribute index associated with q, a i A first weighting factor representing a secondary classification property indicator.
The classification attribute index value under the secondary classification attribute index can be determined by the following relational expression:
t＝Σr i /Σ∣b i ∣
wherein t represents the index value of the secondary classification attribute index, r i Index value representing three-level classification attribute index associated with t, b i A second weighting factor representing a three-level classification property index.
The determination mode of the index value of each three-level classification attribute index is as follows:
construction quality one-time acceptance qualification rate = (construction quality one-time acceptance project item number ÷ construction quality acceptance project item number) × 100%.
The processed foundation passes the test yield = (the number of project items of foundation sections processed to pass the test acceptance project ÷ the number of qualified project items of construction quality test acceptance) × 100%.
The main structure is processed to pass the acceptance rate = (the number of the main structure subsection passes the acceptance project item after being processed ÷ the number of the construction quality acceptance qualified project item) × 100%.
The processed pass test yield of the electrical engineering is = (the number of project items processed to pass test acceptance in the electrical engineering subsection, the number of project items qualified in construction quality test acceptance) multiplied by 100%.
The pass test yield of other use functions and environmental quality after treatment is = (the number of pass test project items of other parts are processed and divided into the number of qualified project items of construction quality test) multiplied by 100%.
The good impression quality rate = (number of project items with good impression quality in construction quality acceptance qualified projects ÷ number of construction quality acceptance qualified projects) × 100%.
It should be noted that the three-level index is only used for illustration and is not used as a limitation of the present application.
In this embodiment, the index values of the first-stage classification attribute indexes are obtained through progressive calculation of the index values of the classification attributes of all stages, so that each classification index of the power grid project is determined, and the quality index of the power grid project is further determined.
In an exemplary embodiment, as shown in fig. 4, a method for determining a grid engineering quality index is provided, and in this embodiment, the method includes the following steps:
step S410, collecting index sample data; the index sample data is determined by a plurality of sampling methods;
step S420, identifying evaluation indexes influencing the engineering quality from the index sample data through a historical power grid engineering quality evaluation case;
step S430, processing the identified evaluation index through an analytic hierarchy process to obtain an evaluation index system aiming at the power grid engineering;
step S440, respectively acquiring classification attribute index values of the power grid project under each primary classification attribute index in the current calculation period and the reference comparison period;
step S450, aiming at each first-class classification attribute index, obtaining the ratio of a first classification attribute index value of the first-class classification attribute index in the current calculation period to a second classification attribute index value of the first-class classification attribute index in the reference comparison period as a classification index corresponding to the first-class classification attribute index;
step S460, obtaining a weight coefficient corresponding to each primary classification attribute index; the weight coefficient represents the influence degree of the first-grade classification attribute index on the quality of the power grid project;
and step S470, carrying out weighted summation processing on the classification indexes under each primary classification attribute index through the weight coefficient to obtain the quality index of the power grid project.
According to the method provided by the embodiment, the classification index of each primary classification attribute index is obtained through the primary classification attribute index values of the current calculation period and the reference comparison period, and then the quality index is determined according to each classification index, so that the quality index can reflect the engineering quality change in different periods, the development change track and the development situation of the engineering quality level can be obtained, an important basis is provided for each measure which enables an enterprise to make scientific decisions and perform effectiveness, the expected control and the prior management of the engineering quality are realized, and the engineering quality is comprehensively improved by assistance.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a device for determining the power grid engineering quality index, which is used for realizing the method for determining the power grid engineering quality index. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the method, so the specific definition in the following embodiment of the device for determining one or more power grid engineering quality indexes may refer to the definition of the method for determining the power grid engineering quality indexes, which is not described herein again.
In one embodiment, as shown in fig. 5, there is provided a device for determining a grid project quality index, including: an evaluation system establishing module 510, an index value obtaining module 520, a classification index determining module 530 and a quality index determining module 540, wherein:
an evaluation system establishing module 510, configured to establish an evaluation index system for a power grid project; the evaluation index system comprises a plurality of first-level classification attribute indexes, a plurality of second-level classification attribute indexes corresponding to the first-level classification attribute indexes, a plurality of third-level classification attribute indexes corresponding to the second-level classification attribute indexes, and a directed relationship between the classification attribute indexes of adjacent levels;
an index value obtaining module 520, configured to obtain classification attribute index values of the power grid project under each first-level classification attribute index in the current calculation period and the reference comparison period, respectively;
a classification index determining module 530, configured to obtain, for each primary classification attribute index, a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in a current calculation period and a second classification attribute index value of the primary classification attribute index in a reference comparison period;
the quality index determining module 540 is used for obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index; the power grid engineering quality index represents the relative number of the degree of change of the power grid engineering quality level.
In an embodiment, the classification index determining module 530 is further configured to obtain a ratio between a first classification attribute index value and a second classification attribute index value of the first-class classification attribute index as a classification index corresponding to the first-class classification attribute index.
In an embodiment, the quality index determining module 540 is further configured to obtain a weight coefficient corresponding to each first-level classification attribute index; the weight coefficient represents the influence degree of the first-grade classification attribute index on the quality of the power grid project; and weighting and summing the classification indexes under each primary classification attribute index through the weight coefficient to obtain the quality index of the power grid project.
In an embodiment, the above-mentioned evaluation system establishing module 510 is further configured to collect index sample data; the index sample data is determined by a plurality of sampling methods; identifying evaluation indexes influencing the engineering quality from the index sample data through a historical power grid engineering quality evaluation case; and processing the identified evaluation index through an analytic hierarchy process to obtain an evaluation index system aiming at the power grid engineering.
In an embodiment, the index value obtaining module 520 is further configured to obtain an index value of a secondary classification attribute index associated with the primary classification attribute index and a first weighting factor corresponding to the associated secondary classification attribute index; the first weighting factor represents the influence degree of the second-level classification attribute indexes on the associated first-level classification attribute indexes; and obtaining the classification attribute index value under the primary classification attribute index based on the index value of the associated secondary classification attribute index and the first weighting factor.
In an embodiment, the index value obtaining module 520 is further configured to obtain an index value of a third-level classification attribute index associated with the second-level classification attribute index and a second weighting factor of the associated third-level classification attribute index; the second weighting factor represents the influence degree of the three-level classification attribute indexes on the associated two-level classification attribute indexes; and obtaining a classification attribute index value under the secondary classification attribute index based on the index value of the associated tertiary classification attribute index and the second weighting factor.
All or part of each module in the device for determining the power grid engineering quality index can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of determining a power grid engineering quality index. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
In an embodiment, a computer program product is provided, comprising a computer program which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method for determining a power grid engineering quality index is characterized by comprising the following steps:
establishing an evaluation index system for the power grid project; the evaluation index system comprises a plurality of first-level classification attribute indexes, a plurality of second-level classification attribute indexes corresponding to the first-level classification attribute indexes, a plurality of third-level classification attribute indexes corresponding to the second-level classification attribute indexes, and a directed relationship between the classification attribute indexes of adjacent levels;
respectively acquiring classification attribute index values of the power grid project under each primary classification attribute index in a current calculation period and a reference comparison period;
for each primary classification attribute index, obtaining a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period;
obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index; the power grid engineering quality index represents the relative number of the degree of change of the power grid engineering quality level.
2. The method of claim 1, wherein obtaining the classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period comprises:
and acquiring the ratio of the first classification attribute index value to the second classification attribute index value of the first-class classification attribute index as the classification index corresponding to the first-class classification attribute index.
3. The method according to claim 1, wherein the obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index comprises:
acquiring a weight coefficient corresponding to each primary classification attribute index; the weight coefficient represents the influence degree of the primary classification attribute index on the quality of the power grid project;
and weighting and summing the classification indexes under the primary classification attribute indexes through the weight coefficients to obtain the quality index of the power grid project.
4. The method according to claim 1, wherein the establishing of an evaluation index system for grid engineering comprises:
collecting index sample data; the index sample data is determined by a plurality of sampling methods;
identifying evaluation indexes influencing the engineering quality from the index sample data through a historical power grid engineering quality evaluation case;
and processing the identified evaluation index through an analytic hierarchy process to obtain an evaluation index system aiming at the power grid project.
5. The method according to claim 1, wherein the classification attribute index value of the grid project under any one of the primary classification attribute indexes is determined by:
acquiring an index value of a secondary classification attribute index associated with the primary classification attribute index and a first weighting factor corresponding to the associated secondary classification attribute index; the first weighting factor represents the influence degree of the secondary classification attribute indexes on the associated primary classification attribute indexes;
and obtaining the classification attribute index value under the primary classification attribute index based on the index value of the associated secondary classification attribute index and the first weighting factor.
6. The method of claim 5, wherein the index value of any one secondary classification attribute index is determined by:
acquiring an index value of a third-level classification attribute index associated with the second-level classification attribute index and a second weighting factor of the associated third-level classification attribute index; the second weighting factor represents the influence degree of the third-level classification attribute indexes on the associated second-level classification attribute indexes;
and obtaining a classification attribute index value under the secondary classification attribute index based on the index value of the associated tertiary classification attribute index and the second weighting factor.
7. An apparatus for determining a grid project quality index, the apparatus comprising:
the evaluation system establishing module is used for establishing an evaluation index system aiming at the power grid project; the evaluation index system comprises a plurality of first-level classification attribute indexes, a plurality of second-level classification attribute indexes corresponding to the first-level classification attribute indexes, a plurality of third-level classification attribute indexes corresponding to the second-level classification attribute indexes, and a directed relationship between the classification attribute indexes of adjacent levels;
the index value acquisition module is used for respectively acquiring classification attribute index values of the power grid engineering under each primary classification attribute index in a current calculation period and a reference comparison period;
a classification index determining module, configured to obtain, for each primary classification attribute index, a classification index corresponding to the primary classification attribute index based on a first classification attribute index value of the primary classification attribute index in the current calculation period and a second classification attribute index value of the primary classification attribute index in the reference comparison period;
the quality index determining module is used for obtaining the quality index of the power grid project according to the classification index under each primary classification attribute index; the power grid engineering quality index represents a relative number of the degree of change of the power grid engineering quality level.
8. A computer arrangement comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, carries out the steps of the method of determining a grid engineering quality index of any one of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method for determining a power grid engineering quality index of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the method of determining a grid engineering quality index of any one of claims 1 to 6.
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| CN117495151A (en) * | 2023-09-19 | 2024-02-02 | 中科微易(苏州)智能科技有限公司 | Automatic quality assessment method and system for highway engineering |
| CN117495151B (en) * | 2023-09-19 | 2024-04-26 | 中科微易(苏州)智能科技有限公司 | Automatic quality assessment method and system for highway engineering |
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