CN116822735A - Overhead line engineering tower material information price adjustment time lag control method and device - Google Patents
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Abstract
The invention relates to a time lag control method and device for adjusting information price of overhead line engineering towers, belongs to the technical field of data information identification and transmission, and solves the problems of lack of an effective and adaptive theoretical model for solving the problems of cost information transmission efficiency and time lag and the like. The method comprises the steps of obtaining a conduction link between related departments of information price adjustment of the overhead line engineering tower materials and connecting the conduction link into a closed loop link; constructing a first and a second type of cost information conduction model by introducing an information overflow benefit theory and an intermediate effect theory into a closed loop link; calculating first and second information transfer time consuming for each department based on the first and second type cost information transfer models; and constructing a time lag control model based on information cost conduction based on the time consumption of the first information conduction and the second information conduction, and controlling the real tower material information price to adjust the conduction time lag of the service chain through the time lag control model. And (3) introducing an information overflow benefit theory and an intermediate effect theory, respectively constructing a cost information conduction model, and calculating and realizing time consumption of information conduction of each department.
Description
Technical Field
The invention relates to the technical field of data information identification and conduction, in particular to a time lag control method and device for adjusting information price of overhead line engineering towers.
Background
Overhead line engineering is an indispensable ring in power transmission and distribution systems, and plays an important role in energy infrastructure construction and safe and stable operation of power systems. The tower material is one of important materials used in overhead line engineering, and the price of the tower material is influenced by various factors such as raw material price, transportation cost, market supply and demand, and the like, so that the information price of the tower material for controlling the engineering cost needs to be adjusted in time so as to be more in line with the actual market situation.
The tower material information price adjustment time lag control is a method for optimizing total link time from the price change of tower material raw materials to the release of tower material information price adjustment files, and needs to consider influencing factors and specific elements contained in the link process, so that a time lag control method is designed for optimizing the link time. However, in this process, there is a lack of an effective and adaptive theoretical model for solving the problems of cost information conduction efficiency and time lag.
Disclosure of Invention
In view of the above analysis, the embodiment of the invention aims to provide a method and a device for controlling information price adjustment time lag of overhead line engineering tower materials, which are used for solving the problems of time lag, lower efficiency and the like of the existing power grid engineering cost information conduction.
In one aspect, the embodiment of the invention provides a time lag control method for adjusting information price of overhead line engineering towers, which comprises the following steps: acquiring a conduction link between related departments of overhead line engineering tower material information price adjustment and connecting the conduction link to form a closed loop link, wherein the related departments on the closed loop link comprise tower material raw material suppliers, an electric power construction rated station and other departments in the middle; respectively constructing a first type cost information conduction model and a second type cost information conduction model by introducing an information overflow benefit theory and an intermediate effect theory into the closed loop link; calculating first information conduction time consumption and second information conduction time consumption of each department based on the first type cost information conduction model and the second type cost information conduction model; and constructing a time-lag control model based on information cost conduction based on the first information conduction time consumption and the second information conduction time consumption, wherein the time-lag control model is used for controlling the real tower material information price to adjust the conduction time lag of a service chain by using network density, network association degree, network efficiency and network grade.
The beneficial effects of the technical scheme are as follows: and acquiring a conduction link between related departments for adjusting the information price of the overhead line engineering tower material by combining interviews of cost management personnel and related literature result recognition approaches. The related tower material information price adjustment related departments comprise tower material raw material suppliers, power construction rated stations and middle other departments, and follow the related department information price adjustment basic logic to connect the departments to form a closed loop link. And an information overflow benefit theory and an intermediate effect theory are introduced, and a cost information conduction model is respectively constructed, so that time-consuming calculation of information conduction under each department is realized.
Based on a further improvement of the above method, the conductive link comprises the following transmission nodes: raw material suppliers, equipment material manufacturers, overhead line engineering bidding agents, construction unit material departments, construction unit foundation departments, electric power construction rated stations, overhead line engineering cost examination departments, overhead line engineering cost establishment departments, tower material information price adjustment files are finally issued.
Based on a further improvement of the above method, constructing a first type of cost information conduction model by introducing information overflow benefit theory into the closed loop link comprises: introducing the information overflow benefit theory into the closed loop link, regarding 'element information change in information source' in power transmission and transformation project cost control of a power grid enterprise as information disclosure, and expressing the cost information conduction completion condition based on the information overflow benefit theory through the following function model:
wherein: fi (t) is an information accumulation function between time and information accumulation, and is concave, convex or linear according to the actual condition of the node i; zi (t) is a transfer completion status function, z=0 represents that the transfer activity from node i to node i+1 is incomplete, and z=1 represents that the transfer activity from node i to node i+1 is completed; yi is the ordinate value when the information overflows; the information overflow point a indicates that the function zi (t) jumps from 0 to 1 after the moment fi (t) reaches yi.
Based on a further improvement of the above method, calculating the first information transfer time consumption of each department based on the first type cost information transfer model includes: determining influencing factors of tower material information price adjustment actions, including element price, market elements, policy standards and management specifications; the specific element points in the influence factors for determining the tower material information price adjustment action comprise raw material price, tower material price fluctuation, engineering bidding system standard Fan Shixiao performance, engineering issuing and contracting system standard timeliness, engineering pricing system perfect policy strength and manufacturing cost compliance standard definition; calculating the association level gamma of the specific element point and information price file release by adopting a spearman grade correlation coefficient mode i The method comprises the steps of carrying out a first treatment on the surface of the Calculating sensitivity level index theta of each node department for information price adjustment i The method comprises the steps of carrying out a first treatment on the surface of the Calculating a first information transfer time consumption for each department based on the correlation level and the sensitivity level index by the following formula:
where n is the total number of nodes in the information conducting link, T 1-n Issuing a general period for information price, gamma i The association level of the specific element point and the information price file release, and theta i Adjusting information price for each node department Sensitivity level index of (c).
Based on a further improvement of the above method, constructing a second type of cost information conduction model by introducing an intermediate effect theory into the closed loop link comprises: by introducing the intermediate effect theory into the closed loop link, exploring chain reaction and indirect influence among variables, for the transmission and transformation project construction cost business information conduction of each stage, an information source and an information sink are respectively used as an independent variable x and an independent variable y, and the existence of intermediate variable factors existing in a channel is used as the influence of the independent variable on the independent variable; the construction information is conducted through a plurality of intermediate departments on a causal relation generation path from a construction information change source department to a construction information change action department, so that construction information change is indirectly perceived by the action department, corresponding construction control actions are made, and chain type intermediate conduction is further realized; the intermediaries which play a higher role in explaining the information transfer between the source and the destination links are taken as obvious intermediaries.
Based on a further improvement of the above method, calculating the second information transfer time consumption of each department based on the second type cost information transfer model includes: defining the following tower information price adjustment paths according to the intermediate effect theory: the method comprises the steps of (1) raw material supplier X-equipment material manufacturer M1-overhead line engineering bidding agency M2-construction unit material department M3-construction unit foundation department M4-electric power construction rating station M5-overhead line engineering cost inspection department M6-overhead line engineering cost compiling department M7; calculating the second information conduction time consumption based on the association level of the specific element point and the information price file release final event through the following formula:
Where n is the total number of nodes in the information conducting link, T 1-n Issuing a general period, gamma, for information price files i And issuing association levels for the specific element points and the information price file.
Based on the further improvement of the methodThe construction of the time lag control model based on information cost conduction by the first information conduction time consuming and the second information conduction time consuming comprises the following steps: definition when element j in s information domain set changes, sink to final cost management through indirect reaction s j The factor change intermediate index gamma receives the change and completes the decision and performs the total time difference ass j Channel element l changing to gamma change sj1 ，l sj2 ，l sj3 …l sju Is-> Wherein the response time lag of each channel link comprises awareness time lag +.>Decision time lag->Action time-lag->The reaction time lag is expressed by the following formula:
reaction time lag of all channel linksAnd (3) counting:
wherein u0 is the total number of channel links;
establishment by introducing alpha coefficientMinimum time lag control model to obtain information minimum conduction time lag
Wherein due to network density D u And cognitive time lagIn inverse proportion, the network relevance CR, the network ranking H, the network efficiency E are all proportional to the cognitive time-lag, which is optimized by adjusting the information monitoring links and the conductive links, assuming a decision time-lag per department ∈ >And operation time lag->Is a constant.
Based on the further improvement of the method, the time lag control model controls the conduction time lag of the real tower material information price adjustment service chain by using the network density, the network association degree, the network efficiency and the network grade degree, and the time lag control model comprises the following steps: conduction time lags are reduced by reducing network density: removing weak sensitive nodes with longer conduction time, opening the information transmission chain again, and reducing the conduction time lag; and reducing the conduction time lag by increasing the network association, the network efficiency, the network rank, and the network efficiency: reducing node information overflow points, activating information conduction in advance, improving network efficiency and reducing conduction time lag, wherein the network density represents the number of relations and the complexity in a network, which is a measure for network completeness, and the network density is higher as the number of relations in the network is higher; the network association degree indicates the connectivity of the network, when most nodes in the network are commonly connected with each other, the overall network structure has higher connectivity and higher association degree, and when a plurality of lines in the network are connected through only one node and two nodes, the network generates larger dependence on a central node serving as a hub, wherein if the central node is eliminated, the overall network is crashed, the overall robustness of the network is poor, and the association degree is lower; the network efficiency represents the existence degree of a redundant relation in the network, wherein the lower the network efficiency of department price conduction is, the more overflow channels are provided for the price conduction among departments, and multiple superposition of price conduction paths exists, so that the whole network structure is more stable; and the network level represents the degree of accessibility of each department in the network, which is asymmetric between every two departments.
Based on further improvement of the method, removing weak sensitive nodes with longer required conduction time, opening the information transmission chain again, and reducing the conduction time lag comprises: nodes are divided into strongly sensitive nodes and weakly sensitive nodes by the following formula:
after judging the weak sensitive node, removing the weak sensitive node and reestablishing an information transmission link to obtain a new total information transmission time length as follows:
wherein n' is the total node number after the weak sensitive node is removed;
reducing node information overflow points, activating information conduction in advance, improving network efficiency and reducing conduction time lag comprises: by strengthening the visibility of personnel and organizations in the node departments to the cost data, the information sensitivity theta i of the node departments i is improved, the node information overflow point is reduced, the reaction time lag is reduced, and the conduction time lag is calculated by the following formula:
and the ti and ti' are respectively the information transmission time lengths before and after the information sensitivity of the node department i is improved.
On the other hand, the embodiment of the invention provides an overhead line engineering tower material information price adjustment time-lag control device, which comprises: the system comprises a link acquisition module, a link control module and a link control module, wherein the link acquisition module is used for acquiring a conduction link between related departments of overhead line engineering tower material information price adjustment and connecting the conduction link to form a closed loop link, and the related departments on the closed loop link comprise tower material raw material suppliers, an electric power construction rated station and other departments in the middle; the manufacturing cost information conduction model is used for respectively constructing a first type manufacturing cost information conduction model and a second type manufacturing cost information conduction model by introducing an information overflow benefit theory and an intermediate effect theory into the closed loop link; the conduction time consumption calculation module is used for calculating first information conduction time consumption and second information conduction time consumption of each department based on the first type cost information conduction model and the second type cost information conduction model; and the time delay control model is used for constructing a time delay control model based on information cost conduction based on the first information conduction time consuming and the second information conduction time consuming, wherein the time delay control model is used for controlling the conduction time delay of the real tower material information price adjustment service chain by utilizing network density, network association degree, network efficiency and network grade.
Compared with the prior art, the invention has at least one of the following beneficial effects:
1. and acquiring a conduction link between related departments for adjusting the information price of the overhead line engineering tower material by combining interviews of cost management personnel and related literature result recognition approaches. The related tower material information price adjustment related departments comprise tower material raw material suppliers, power construction rated stations and middle other departments, and follow the related department information price adjustment basic logic to connect the departments to form a closed loop link.
2. And an information overflow benefit theory and an intermediate effect theory are introduced, and a cost information conduction model is respectively constructed, so that time-consuming calculation of information conduction under each department is realized. And calculating the release association level of a specific element point and an information price file by combining the node attribute characteristics of the departments in a spearman level correlation coefficient mode, obtaining the sensitivity level theta of each node department to information price adjustment by adopting a Delphi-CRITIC-MABAC method, realizing the quantification of the association level of the sensitivity of the department, the node influence factors and the specific element point, and calculating the time consumption of information conduction under each department.
3. And constructing a time-lag control model based on information cost conduction, and realizing the design of a reaction time-lag control method by using four key indexes of network density, network association degree, network efficiency and network grade. Comprising the following steps: removing weak sensitive nodes with longer conduction time, and restarting the information transmission chain to realize the reduction of conduction time lag; and the node information overflow point is lowered, the information conduction is activated in advance, the network efficiency is improved, and the conduction time lag is lowered.
In the invention, the technical schemes can be mutually combined to realize more preferable combination schemes. Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention, like reference numerals being used to refer to like parts throughout the several views.
FIG. 1 is a flow chart of a method for skew control for overhead line engineering tower information price adjustment in accordance with an embodiment of the present invention;
FIG. 2 is a flowchart of a method for controlling information price adjustment time lag of overhead line engineering towers according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a step of removing weak sensitive nodes in an overhead line engineering tower information price adjustment time-lapse control method according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a step of a falling node information overflow point of an overhead line engineering tower information price adjustment time-delay control method according to an embodiment of the present invention; and
Fig. 5 is a block diagram of an overhead line engineering tower information price adjustment time-lapse control device according to an embodiment of the present application.
Detailed Description
The following detailed description of preferred embodiments of the application is made in connection with the accompanying drawings, which form a part hereof, and together with the description of the embodiments of the application, are used to explain the principles of the application and are not intended to limit the scope of the application.
Referring to fig. 1, in a step S101, a conductive link between relevant departments of overhead line engineering tower material information price adjustment is obtained and connected into a closed loop link, wherein the relevant departments on the closed loop link include tower material raw material suppliers, an electric power construction rated station and other departments in the middle; in step S102, a first type cost information conduction model and a second type cost information conduction model are respectively built by introducing an information overflow benefit theory and an intermediate effect theory into a closed loop link; in step S103, calculating a first information transfer time consumption and a second information transfer time consumption of each department based on the first type cost information transfer model and the second type cost information transfer model; and in step S104, a time lag control model based on information cost conduction is constructed based on the first information conduction time consumption and the second information conduction time consumption, wherein the time lag control model is used for controlling the real tower material information price to adjust the conduction time lag of the service chain by using the network density, the network association degree, the network efficiency and the network grade.
Compared with the prior art, the overhead line engineering tower material information price adjustment time-lag control method provided by the embodiment is combined with interviews of cost management personnel and related literature result recognition approaches to obtain the conduction links among related departments of overhead line engineering tower material information price adjustment. The relevant tower material information price adjustment relevant departments comprise tower material raw material suppliers, power construction rated stations and other departments in the middle, and follow the relevant department information price adjustment basic logic to connect the departments to form a closed loop link. And an information overflow benefit theory and an intermediate effect theory are introduced, a cost information conduction model is respectively constructed, and time-consuming calculation of information conduction under each department is realized so as to adjust information conduction time-lag.
Hereinafter, a detailed description will be made of an overhead line engineering tower information price adjustment time lag control method according to an embodiment of the present invention with reference to fig. 1.
In step S101, a conductive link between relevant departments of overhead line engineering tower information price adjustment is acquired and connected into a closed loop link, wherein the relevant departments on the closed loop link include a tower raw material supplier, an electric power construction rating station and other departments in the middle. Specifically, the conductive link includes the following transmission nodes: raw material suppliers, equipment material manufacturers, overhead line engineering bidding agents, construction unit material departments, construction unit foundation departments, electric power construction rated stations, overhead line engineering cost examination departments, overhead line engineering cost establishment departments, tower material information price adjustment files are finally issued.
In step S102, a first type cost information conduction model and a second type cost information conduction model are respectively constructed by introducing the information overflow benefit theory and the intermediate effect theory into the closed loop link.
Specifically, building a first type of cost information conduction model by introducing information overflow benefit theory into a closed loop link includes: the information overflow benefit theory is introduced into a closed loop link, the information disclosure is regarded as 'element information in information source is changed' in the power transmission and transformation project cost control of a power grid enterprise, and the cost information conduction completion condition based on the information overflow benefit theory is represented by the following function model:
wherein: fi (t) is an information accumulation function between time and information accumulation, and the function can be concave, convex and linear according to the actual condition of the node i; zi (t) is a transfer completion status function, z=0 represents that the transfer activity from node i to node i+1 is incomplete, and z=1 represents that the transfer activity from node i to node i+1 is completed; yi is the ordinate value when the information overflows; the information overflow point a indicates that the function zi (t) jumps from 0 to 1 after the moment fi (t) reaches yi.
Specifically, constructing the second type of cost information conduction model by introducing the theory of intermediation into the closed loop link includes: by introducing an intermediate effect theory into a closed loop link, exploring chain reaction and indirect influence among variables, for the transmission and transformation project manufacturing cost business information conduction of each stage, an information source and an information sink are respectively used as an independent variable x and an independent variable y, and the existence of an intermediate variable factor existing in a channel is used as the influence of the independent variable on the independent variable; the construction information is conducted through a plurality of intermediate departments on a causal relation generation path from a construction information change source department to a construction information change action department, so that construction information change is indirectly perceived by the action department, corresponding construction control actions are made, and chain type intermediate conduction is further realized; the intermediaries which play a higher role in explaining the information transfer between the source and the destination links are taken as obvious intermediaries.
In step S103, the first information transfer time consumption and the second information transfer time consumption of each department are calculated based on the first type cost information transfer model and the second type cost information transfer model.
Specifically, calculating the first information transfer time consumption of each department based on the first type cost information transfer model includes: determining influencing factors of tower material information price adjustment actions, including element price, market elements, policy standards and management specifications; the specific element points in the influence factors for determining the tower material information price adjustment action comprise raw material price, tower material price fluctuation, engineering bidding system standard Fan Shixiao performance, engineering issuing and contracting system standard timeliness, engineering pricing system perfect policy strength and manufacturing cost compliance standard definition; calculating the association level gamma i of a specific element point and information price file release in a spearman level correlation coefficient mode; calculating sensitivity level index thetai of each node department for information price adjustment; calculating a first information transfer time consumption for each department based on the association level and the sensitivity level index by the formula:
where n is the total number of nodes in the information conducting link, T 1-n Issuing a general period for information price, gamma i Issuing a level of association of a final event for a particular element point with an information price file, and θ i Sensitivity level index adjusted for information price to each node department.
Specifically, calculating the second information transfer time consumption of each department based on the second type cost information transfer model includes: defining the following tower information price adjustment paths according to the intermediate effect theory: the method comprises the steps of (1) raw material supplier X-equipment material manufacturer M1-overhead line engineering bidding agency M2-construction unit material department M3-construction unit foundation department M4-electric power construction rating station M5-overhead line engineering cost inspection department M6-overhead line engineering cost compiling department M7; calculating second information conduction time consumption based on the association level of the specific element point and the information price file release through the following formula:
where n is the total number of nodes in the information conducting link, T 1-n Issuing a general period, gamma, for information price files i For the level of association of a particular element point with information value document publication, document publication is the event that is ultimately caused to occur by node conduction.
In step S104, a time lag control model based on information cost conduction is constructed based on the first information conduction time consuming and the second information conduction time consuming, wherein the time lag control model is used for controlling the conduction time lag of the real tower material information cost adjustment service chain by using the network density, the network association degree, the network efficiency and the network grade.
Specifically, time lags based on information cost conduction are built based on first information conduction time consumption and second information conduction time consumptionThe control model includes: definition when element j in s information domain set changes, sink to final cost management through indirect reaction s j The factor change intermediate index gamma receives the change and completes the decision and performs the total time difference ass j Channel element l changing to gamma change sj1 ，l sj2 ，l sj3 …l sju Is->Wherein the response time lag of each channel link comprises awareness time lag +.>Decision time lag->Action time-lag->The reaction time lag is expressed by the following formula:
reaction time lag of all channel linksAnd (3) counting:
where u0 is the total number of channel links.
Establishment by introducing alpha coefficientMinimal time lag controlModel to obtain information minimum conduction time lag:
wherein due to network density D u And cognitive time lagIn inverse proportion, the network association CR, the network hierarchy H, the network efficiency E are all proportional to the cognitive time lag, which is optimized by adjusting the information monitoring links and the conductive links, assuming a decision time lag of each department ∈ ->And operation time lag->Is a constant.
Specifically, the time lag control model controls the conduction time lag of the real tower information price adjustment service chain by using the network density, the network association degree, the network efficiency and the network grade degree, and the time lag control model comprises the following steps: conduction time lags are reduced by reducing network density: removing weak sensitive nodes with longer conduction time, opening the information transmission chain again, and reducing conduction time lag; and reducing conduction time lags by improving network association, network efficiency, network hierarchy: and the node information overflow points are reduced, the information conduction is activated in advance, the network efficiency is improved, and the conduction time lag is reduced.
Network density represents the number and complexity of relationships in a network, which is a measure of network completeness, wherein the greater the number of relationships in a network, the higher the network density. The network association degree indicates the connectivity of the network, when most nodes in the network are commonly connected by association, the overall network structure has higher connectivity and higher association degree, and when a plurality of lines in the network are connected by only one node and two nodes, the network generates larger dependence on a central node serving as a hub, wherein if the central node is eliminated, the overall network is crashed, the overall robustness of the network is poor, and the association degree is lower. The network efficiency represents the existence degree of redundant relation in the network, wherein the lower the network efficiency of department price conduction is, the more overflow channels are provided for the price conduction among departments, and multiple superposition of price conduction paths exists, so that the whole network structure is more stable. The network hierarchy represents the degree of reachability of each division in the network asymmetrically between two departments.
Removing weak sensitive nodes with longer conduction time, opening the information transmission chain again, and reducing conduction time lag comprises: nodes are divided into strongly sensitive nodes and weakly sensitive nodes by the following formula:
After the weak sensitive node is judged, the weak sensitive node is removed and an information transmission link is re-established, so that the new total information transmission time length is obtained as follows:
where n' is the total node number after the weakly sensitive node is removed.
Reducing node information overflow points, activating information conduction in advance, improving network efficiency and reducing conduction time lag comprises: by strengthening the degree of re-vision of personnel and organizations in the node departments on the cost data, the information sensitivity theta i of the node departments i is improved, the node information overflow point is reduced, the reaction time lag is reduced, and the conduction time lag is calculated by the following formula:
and the ti and ti' are respectively the information transmission time lengths before and after the information sensitivity of the node department i is improved.
Referring to fig. 5, in one embodiment of the present invention, an overhead line engineering tower information price adjustment time lag control device is disclosed, comprising: the link acquisition module 501 is configured to acquire a conductive link between relevant departments of information price adjustment of the overhead line engineering tower material and connect the conductive link to a closed loop link, where the relevant departments on the closed loop link include a tower material raw material provider, an electric power construction rating station and other departments in the middle; the cost information conduction model 502 respectively constructs a first type cost information conduction model and a second type cost information conduction model by introducing an information overflow benefit theory and an intermediate effect theory into a closed loop link; a conduction time-consuming calculation module 503, configured to calculate a first information conduction time consumption and a second information conduction time consumption of each department based on the first type cost information conduction model and the second type cost information conduction model; and a time lag control model 504, configured to construct a time lag control model based on information cost conduction based on the first information conduction time consuming and the second information conduction time consuming, where the time lag control model is used to control the real tower information price to adjust the conduction time lag of the service chain by using the network density, the network association degree, the network efficiency and the network hierarchy.
Hereinafter, a detailed description will be given of an overhead line engineering tower information price adjustment time lag control method based on an information conduction model according to an embodiment of the present invention, by way of specific examples, with reference to fig. 2 to 4.
In step S201, a conductive link between related departments of adjusting the information price of the overhead line engineering tower material is obtained, wherein the related departments on the link are a tower material raw material supplier, an electric power construction rated station and other departments in the middle, and the related departments are combined with interview of cost management personnel and related literature result recognition approaches to follow the related departments to adjust basic logic of information price adjustment so as to connect the departments to form a closed loop link, so that a conductive link of 'raw material supplier-equipment material manufacturer-bidding agent of overhead line engineering-material department of construction unit-basic building department of construction unit-electric power construction rated station-overhead line engineering cost inspection department-overhead line engineering cost compiling department-tower material information price adjustment document release' is obtained, and the conductive link is 8 transmission nodes in total and is used as a main acting object of a subsequent tower material information price adjustment time lag control method.
In step S202, an information overflow benefit theory and an intermediate effect theory are introduced, and cost information conduction models are respectively built, wherein the built first type cost information conduction model comprises: the information overflow benefit theory is introduced, the overflow effect of the information disclosure is utilized, the event that 'element information in information source is changed' in the power transmission and transformation project cost control of a power grid enterprise is regarded as the information disclosure, and the cost information conduction principle based on the information overflow benefit theory is expressed through a function model:
Wherein: fi (t) is an information accumulation function between time and information accumulation, and the function can be concave, convex and linear according to the actual condition of the node i; zi (t) is a transfer completion status function, z=0 represents that the transfer activity from node i to node i+1 is incomplete, and z=1 represents that the transfer activity from node i to node i+1 is completed; yi is the ordinate value when the information overflows; the information overflow point a indicates that the function z transitions from 0 to 1 after ti time fi (t) reaches yi.
The second type of cost information conduction model is constructed by: introducing an intermediate effect theory, exploring chain reaction and indirect influence among variables, and for the transmission and transformation project manufacturing cost business information conduction of each stage, an information source and an information sink can be understood as an independent variable x and an independent variable y, and the influence of the independent variable on the dependent variable is better explained by the existence of intermediate variable factors such as m1, m2, m3 and the like in a channel; the method realizes the conduction of the cost information in a plurality of intermediate departments on a causal relation generation path from a cost information fluctuation source department to a cost information fluctuation action department, so that the cost information fluctuation is indirectly perceived by the action department with the cost control action right, and the corresponding cost control action is made, thereby realizing chain type intermediate conduction; and the method takes the intermediaries which play a role in higher interpretation on the information transmission between the source and the information destination links as the remarkable intermediaries which are focused by the cost manager.
In step S203, the association level quantization of the sensitivity of the department, the node influencing factors and the specific element points is realized by combining the attribute characteristics of the department nodes, and the time consumption of information conduction under each department is calculated. The information conduction application of the information price adjustment of the overhead line engineering tower material of the first type of cost information conduction model introducing the information overflow theory comprises the following steps: determining influencing factors of tower material information price adjustment actions, including element price, market elements, policy standards and management specifications; the specific element points in the influence factors for determining the tower material information price adjustment action comprise raw material price, tower material price fluctuation, engineering bidding system standard Fan Shixiao performance, engineering issuing and contracting system standard timeliness, engineering pricing system perfect policy strength and manufacturing cost compliance standard definition; calculating a specific element point and information price file release association level gamma by adopting a spearman level correlation coefficient mode, and calculating by a spearman level correlation coefficient method, wherein the formula is as follows:
wherein WX is the level of a specific element point in the influencing factors of the tower material information price adjustment action,WY is the tower material information price adjustment action occurrence level for the average value of the relevant element point levels,/for the tower material information price adjustment action occurrence level >The average value of the action occurrence level is adjusted for the tower material information price.
The sensitivity level of the node department to the information price adjustment is quantified by adopting a Delphi-CRITIC-MABAC method from four dimensions of element price, market elements, policy standard and management specification, and specific steps are explained below.
Obtaining expert evaluation index level: expert consultation is carried out through a Delphi method, the sensitivity level of each node department to information price adjustment is definitely used for evaluating research problems, scope and purpose, the number of power grid engineering technology process cost experts to be consulted is determined, experts conforming to the research scope are collected, the problem set is gradually corrected and perfected through repeated round polling, summarization and feedback of the comments of the experts, consensus is achieved, statistical analysis and synthesis are carried out on the obtained multidimensional sensitivity index results of information price adjustment, the core points of each party comments are extracted, and a final scheme of the index results is formulated.
Constructing a standard forward matrix: for n node departments, m evaluation indexes, an initial grading index matrix D is obtained, i rows and j columns of numerical values a ij And the j-th evaluation index value of the i-th node department is represented, and the indexes in the j-th evaluation index value are subjected to standard processing of a range variation method.
Calculating the information quantity of the evaluation index: to embody the influence importance degree of the index on the regulation of departments and information price, calculating the information quantity C of the evaluation index j The method comprises the following steps:
wherein: sigma (sigma) j For each index standard deviation, the sensitivity level deviation degree of each node department on information price adjustment under the same evaluation index is represented; r is R j For the pearson correlation coefficient r ij A correlation matrix is formed; r is (r) ij The pearson correlation coefficient between the indices represents the collision between the evaluation indices.
Calculating an index objective weight: c (C) j The larger the j-th evaluation index carries more information and the greater the importance degree is, namely the j-th index weight W j The larger it is, the expression:
constructing an activity sensitivity boundary approximation area matrix adjusted by the same information price: the MABAC method needs to construct a weighted characteristic index matrix O firstly, and the j column number value y of the ith row of the matrix O ij The method comprises the following steps:
y ij ＝(b ij +1)W j
wherein: b ij Is a standard forward index value.
g j The value G of the jth column of the boundary approximation area matrix G is formed by the value of the boundary approximation area BAA of the jth index j The method comprises the following steps:
constructing a boundary approximation area distance matrix: the boundary approximation area distance matrix Q is formed by the difference value of the weighting characteristic index matrix O and the boundary approximation area matrix G, and the matrix Q is:
Q＝O-G
the value of the ith row and the jth column in Q is the distance Q between the jth evaluation index of the node department i and the boundary approximation area ij 。q ij A j-th evaluation index of the node department i is larger than 0 and belongs to the upper boundary approximation area G+, and a positive ideal point A+ corresponding to the j-th index is contained in the j-th evaluation index; q ij And the value is smaller than 0, so that the j-th evaluation index of the node department i belongs to the lower boundary approximation area G-and the negative ideal point A-corresponding to the j-th index is contained in the lower boundary approximation area G-.
Calculating the activity sensitivity index of the node department and the information price adjustment: q of each node department i in Q ij The larger the value, the more positive the number, the better the node department group and information price adjustment activity sensitivity of the node department in the conduction link. Calculating each node department q ij The sum of the information price adjustment sensitivity level index theta of each node department is obtained i The method comprises the following steps:
the initial ti of each node is reversely deduced according to the following values of gamma and theta:
wherein: n is the total node number in the information conduction link; t (T) 1-n The information price is issued in a general period, and the tower information price is issued in a general period which can be regarded as 12 weeks.
The information conduction application of the information price adjustment of the overhead line engineering tower material of the second type of manufacturing cost information conduction model introducing the intermediate effect theory comprises the following steps: according to the intermediate effect theory, a tower material information price adjustment path of a raw material supplier X-equipment material manufacturer M1-overhead line engineering bidding agency M2-construction unit material department M3-construction unit basic building department M4-power construction rated station Y (M5) -overhead line engineering cost examining department M6-overhead line engineering cost compiling department M7 is defined, wherein the power construction rated station is used as a terminal department and an intermediate department. The specific element points under the reference information overflow theory are associated with information price file release association level gamma, and the medium conduction time required by each department is output according to the following steps:
In step S204, a time lag control model based on information cost conduction is constructed, and the design of a reaction time lag control method is realized by using four key indexes of network density network association degree, network efficiency and network grade. Definition when element j in s information domain set changes, i.e. source changes, sink to final cost management can indirectly respond to s j The element change mediating indicator γ (i.e., association level) receives the change and performs the decision and performs the total time difference ass j Channel link (information agency) l changing to gamma change sj1 ，l sj2 ，l sj3 …l sju The reaction time lag of (1) isu is the number of network nodes; the reaction time lag of each link is known time lag, decision time lag and action timeThe composition of the lags, assuming that the fixation links are cognitively time-lags for different important information +.>Decision time lag +_ depending on the complexity of the network and the conduction path of the information>Action time-lag->Is similar, subject to
Reaction time lag of all channel linksAnd (3) counting:
wherein u is 0 Is the total number of channel links.
The obtained time-lag optimization model follows the overall logic of 'network overall characteristic analysis-intra-network individual (department) characteristic analysis-conduction time-lag analysis', and is characterized by using four indexes of overall network characteristic common network density, network association degree, network efficiency and network grade.
The network density reveals the number and complexity of relationships in the network, and is a measure of network completeness. The greater the number of relationships in the network, the higher the network density, meaning that the network as a whole can have a greater impact on the node individual attribute data (e.g., attitudes, behaviors, etc.). Network density is generally defined as the ratio of the number of relationships that the network actually exists to the maximum coefficient of relationship that the network theory can carry. The specific measuring and calculating method comprises the following steps:
D u ＝L/[N×(N-1)]
wherein D is u For network density, L represents the relation number actually existing, U is the number of network nodes and L sj1 ，l sj2 ，l sj3 …l sju Consistent, U× (U-1) is the largest loadable relationship in the directed network graph.
The network association is used to represent the connectivity of the network, and if association connection exists among most nodes in the network, the overall network structure has higher connectivity and higher association. When a plurality of wires in the network are connected through only one node and two nodes, the network can generate larger dependence on the central node serving as the hub, and if the central node is eliminated, the whole network is possibly crashed, the whole network has poor robustness and lower association degree. The association degree is calculated as follows:
CR＝1-{V/[U×(U-1)/2]}
where CR is the degree of network association and V is the logarithm of the points of unreachable in the network.
Network efficiency characterizes the extent to which redundant relationships exist in a network. In this study, the lower the network efficiency of department price conduction, the more overflow channels the department price conduction has, namely, multiple overlapping of price conduction paths exist, so that the whole network structure is more stable, and the network efficiency E can be expressed as:
E＝1-[M/max(M)]
wherein M is the number of redundant lines in the network, and max (M) is the maximum number of redundant lines that can be carried by the network.
The network hierarchy may reveal the degree of reachability of each division in the network, asymmetrically, two by two. The network grade is calculated as follows:
H＝1-[K/max(K)]
wherein, H is the network grade, K is the logarithm of the symmetrical reachable point in the network, and max (K) is the logarithm of the symmetrical reachable point which can be loaded by the network.
Based on the above information network characteristic characterization result, the adoption of the proximity centrality reflects the sum of shortcut distances between one node and other nodes in the network, and the proximity centrality is as follows:
wherein, d is ij Representing the shortcut distance between the information i and j.
Since the decision time lag and the operation time lag of the information are determined by the internal management intensity and the execution capacity and do not belong to the optimization content of the project, the decision time lag of each department is assumed Is constant with operation time lagAnd the information can be optimized by adjusting the information monitoring link and the conduction link during the information cognition essence. Due to network density D u And cognitive time-lag->In inverse proportion, the network association CR, the network grade H and the network efficiency E are all in direct proportion to the cognitive time lag, so that alpha coefficient is introduced to establish +.>The minimum time lag control model to obtain information minimum conduction time lag:
based on the time lag control model of information cost conduction, the control of the network density, the network association degree, the network efficiency and the network grade degree are realized by changing four indexes, and the time lag control model comprises the following steps: reducing network density achieves conduction time-lapse reduction: the weak sensitive nodes with longer conduction time are removed, the information transmission chain is opened again, and the conduction time lag is reduced; the network association degree, the network efficiency and the network grade are improved, and the conduction time lag is reduced: and the node information overflow point is lowered, and the information conduction is activated in advance, so that the network efficiency is improved, and the conduction time lag is lowered.
And applying a time lag control method to the real tower material information price adjustment service chain, so that the response time is shortened, and the link conduction efficiency is improved. According to the conduction time lag control feasibility thought, a reaction time lag control method based on an information overflow benefit theory conduction model is designed, and the reaction time lag control method comprises the following steps: the reaction time lag control method for removing the weak sensitive node is considered: nodes can be classified into two types of strong sensitivity nodes and weak sensitivity nodes by means of mean value scribing grading, and the nodes can be expressed as follows:
After the weak sensitive node is judged to be obtained, the weak sensitive node is removed and an information transmission link is re-established, and the new total information transmission time length is obtained as follows:
where n' is the total node number after the weakly sensitive node is removed.
The reaction time lag control method considering the falling node information overflow point comprises the following steps: the visibility of personnel and organizations in the node departments to the cost data is enhanced, the information sensitivity theta i of the node departments i is improved, and the node information overflow points are lowered, so that the reaction time lag is reduced, and the control of the reaction time lag is realized. Expressed by the formula:
wherein, thetai and thetai' are respectively the information sensitivity before and after the node department carries out internal training; ti and ti' are respectively the information transfer duration before and after the information sensitivity of the node department i is improved.
According to the conduction time lag control feasibility thought, the reaction time lag control method based on the intermediate effect theory conduction model actually comprises the following steps: the causal stepwise regression method is used for judging the significance of the intermediate departments, and when a certain intermediate department generates higher-value information transfer effect after being influenced by the cost information domain set, the intermediate department is a significant intermediate department and can be reserved; when a certain intermediate department is influenced by the cost information domain set and does not generate higher-value information transfer function, the intermediate department is an insignificant intermediate department and can be removed; the inspection step is divided into three steps: firstly, analyzing regression of X to Y, and checking significance of a regression coefficient c; second, analyze the regression of X against M (M1, M2, M3..mn), check the significance of regression coefficient a; thirdly, analyzing the regression of X to Y after adding the intermediate variable Mi, and checking the significance of regression coefficients b and c'; and reserving the remarkable intermediation department, the raw material supplier X and the electric power construction rating station Y to obtain a new conductive link after reaction time lag control.
In step S205, the real tower information price adjustment service chain is applied to a time lag control method. The response time is shortened, the link conduction efficiency is improved, and support and basis are provided for power grid engineering information price adjustment time lag control. According to the transmission links and total transmission time length of the links between the related departments of the information price adjustment of the tower materials of the overhead line engineering, namely the raw material supplier, the equipment material manufacturer, the bidding agency, the material departments of the construction units, the foundation departments of the construction units, the power construction rated station, the inspection departments of the construction cost of the overhead line engineering, the construction cost compiling departments of the overhead line engineering, and the release of the information price adjustment files of the tower materials, the node attribute characteristics of the departments are combined, the associated level quantification of the sensitivity of the departments, the node influencing factors and the specific element points is realized, the time consumption of information transmission under each department is calculated, the time lag control is carried out according to the time lag control method of the information price adjustment of the tower materials, the response time is shortened, and the link transmission efficiency is improved.
Compared with the prior art, in the overhead line engineering tower material information price adjustment time-lag control method based on the information conduction model, the overhead line engineering tower material information price is combined to adjust conduction links among related departments. The tower material information price adjustment service chain time lag control method is applied, shortens response time, improves link conduction efficiency, and provides support and basis for power grid engineering information price adjustment time lag control.
The embodiment of the invention provides an overhead line engineering tower material information price adjustment time-lag control method based on an information conduction model, which comprises the following steps: acquiring a conduction link between related departments of information price adjustment of overhead line engineering towers; an information overflow benefit theory and an intermediate effect theory are introduced, and a cost information conduction model is respectively constructed; the association level quantification of the sensitivity of departments, the node influence factors and the specific element points is realized by combining the attribute characteristics of the nodes of the departments, and the time consumption of information conduction under each department is calculated; constructing a time-lag control model based on information cost conduction, and realizing the design of a reaction time-lag control method by using four key indexes of network density, network association degree, network efficiency and network grade; and applying a time lag control method to the real tower material information price adjustment service chain. The response time is shortened, the link conduction efficiency is improved, and support and basis are provided for power grid engineering information price adjustment time lag control.
The method comprises the steps of obtaining a conduction link between related departments of information price adjustment of overhead line engineering tower materials, wherein the related departments on the link are provided with tower material raw material suppliers, power construction rated stations and other departments in the middle, and the related departments are combined with interviews of cost management personnel and related literature result recognition approaches to follow the basic logic of information price adjustment of the related departments so as to connect the departments to form a closed loop link, so that the conduction link of 'raw material supplier-equipment material manufacturer-bidding agent of overhead line engineering-construction unit material department-construction unit basic building department-power construction rated stations-overhead line engineering cost inspection department-overhead line engineering cost establishment department-tower material information price adjustment document release' is obtained, and the conduction link is used as a main acting object of a subsequent tower material information price adjustment time lag control method.
And respectively constructing a cost information conduction model by introducing an information overflow benefit theory and an intermediate effect theory, wherein the constructed first type cost information conduction model comprises the following components: the information overflow benefit theory is introduced, the overflow effect of the information disclosure is utilized, the event that 'element information in information source is changed' in the power transmission and transformation project cost control of a power grid enterprise is regarded as the information disclosure, and the cost information conduction principle based on the information overflow benefit theory is expressed through a function model:
wherein: fi (t) is an information accumulation function between time and information accumulation, and the function can be concave, convex and linear according to the actual condition of the node i; zi (t) is a transfer completion status function, z=0 represents that the transfer activity from node i to node i+1 is incomplete, and z=1 represents that the transfer activity from node i to node i+1 is completed; yi is the ordinate value when the information overflows; the information overflow point a indicates that the function z transitions from 0 to 1 after ti time fi (t) reaches yi.
The second type of cost information conduction model is constructed by: introducing an intermediate effect theory, exploring chain reaction and indirect influence among variables, and for the transmission and transformation project manufacturing cost business information conduction of each stage, an information source and an information sink can be understood as an independent variable x and an independent variable y, and the influence of the independent variable on the dependent variable is better explained by the existence of intermediate variable factors such as m1, m2, m3 and the like in a channel; the method realizes the conduction of the cost information in a plurality of intermediate departments on a causal relation generation path from a cost information fluctuation source department to a cost information fluctuation action department, so that the cost information fluctuation is indirectly perceived by the action department with the cost control action right, and the corresponding cost control action is made, thereby realizing chain type intermediate conduction; and the method takes the intermediaries which play a role in higher interpretation on the information transmission between the source and the information destination links as the remarkable intermediaries which are focused by the cost manager.
And combining the attribute characteristics of the nodes of the departments, realizing the association level quantification of the sensitivity of the departments, the influence factors of the nodes and the specific element points, and calculating the time consumption of information conduction under each department. The information conduction application of the information price adjustment of the overhead line engineering tower material of the first type of cost information conduction model introducing the information overflow theory comprises the following steps: determining influencing factors of tower material information price adjustment actions, including element price, market elements, policy standards and management specifications; the specific element points in the influence factors for determining the tower material information price adjustment action comprise raw material price, tower material price fluctuation, engineering bidding system standard Fan Shixiao performance, engineering issuing and contracting system standard timeliness, engineering pricing system perfect policy strength and manufacturing cost compliance standard definition; calculating a specific element point and information price file release association level gamma by adopting a spearman level correlation coefficient mode, and calculating by a spearman level correlation coefficient method, wherein the formula is as follows:
wherein WX is i The specific element point level in the influencing factors of the action is adjusted for the tower material information price,WY is the average value of the related element point levels i Adjusting action occurrence level for tower material information price, < > >The average value of the action occurrence level is adjusted for the tower material information price.
From four dimensions of element price, market element, policy standard and management specification, adopting Delphi-CRITIC-MABAC method to quantify the sensitivity level of node department to information price adjustment, the specific steps are as follows:
obtaining expert evaluation index level: expert consultation is carried out through a Delphi method, the sensitivity level of each node department to information price adjustment is definitely used for evaluating research problems, scope and purpose, the number of power grid engineering technology process cost experts to be consulted is determined, experts conforming to the research scope are collected, the problem set is gradually corrected and perfected through repeated round polling, summarization and feedback of the comments of the experts, consensus is achieved, statistical analysis and synthesis are carried out on the obtained multidimensional sensitivity index results of information price adjustment, the core points of each party comments are extracted, and a final scheme of the index results is formulated.
Constructing a standard forward matrix: for n node departments, m evaluation indexes, an initial grading index matrix D is obtained, i rows and j columns of numerical values a ij And the j-th evaluation index value of the i-th node department is represented, and the indexes in the j-th evaluation index value are subjected to standard processing of a range variation method.
Calculating the information quantity of the evaluation index: to embody the influence importance degree of the index on the regulation of departments and information price, calculating the information quantity C of the evaluation index j The method comprises the following steps:
wherein: sigma (sigma) j For each index standard deviation, the sensitivity level deviation degree of each node department on information price adjustment under the same evaluation index is represented; r is R j For the pearson correlation coefficient r ij A correlation matrix is formed; r is (r) ij The pearson correlation coefficient between the indices represents the collision between the evaluation indices.
Calculating an index objective weight: c (C) j The larger the j-th evaluation index carries more information and the greater the importance degree is, namely the j-th index weight W j The larger it is, the expression:
constructing an activity sensitivity boundary approximation area matrix adjusted by the same information price: the MABAC method needs to construct a weighted characteristic index matrix O firstly, and the j column number value y of the ith row of the matrix O ij The method comprises the following steps:
y ij ＝(b ij +1)W j
wherein: b ij Is a standard forward index value.
g j The value G of the jth column of the boundary approximation area matrix G is formed by the value of the boundary approximation area BAA of the jth index j The method comprises the following steps:
constructing a boundary approximation area distance matrix: the boundary approximation area distance matrix Q is formed by the difference value of the weighting characteristic index matrix O and the boundary approximation area matrix G, and the matrix Q is:
Q＝O-G；
the value of the ith row and the jth column in Q is the distance Q between the jth evaluation index of the node department i and the boundary approximation area ij 。q ij A j-th evaluation index of the node department i is larger than 0 and belongs to the upper boundary approximation area G+, and a positive ideal point A+ corresponding to the j-th index is contained in the j-th evaluation index; q ij And the value is smaller than 0, so that the j-th evaluation index of the node department i belongs to the lower boundary approximation area G-and the negative ideal point A-corresponding to the j-th index is contained in the lower boundary approximation area G-.
Calculating the activity sensitivity index of the node department and the information price adjustment: q of each node department i in Q ij The larger the value, the more positive the number, the better the node department group and information price adjustment activity sensitivity of the node department in the conduction link. Calculating each node department q ij The sum of the information price adjustment sensitivity level index theta of each node department is obtained i The method comprises the following steps:
the initial ti of each node is reversely deduced according to the following values of gamma and theta:
wherein: n is the total node number in the information conduction link; t (T) 1-n A general period is issued for information prices.
The information conduction application of the information price adjustment of the overhead line engineering tower material of the second type of manufacturing cost information conduction model introducing the intermediate effect theory comprises the following steps: defining a tower material information price adjustment path of 'a raw material supplier X-equipment material manufacturer M1-overhead line engineering bidding agency M2-construction unit material department M3-construction unit basic building department M4-power construction rated station Y (M5) -overhead line engineering cost examining department M6-overhead line engineering cost compiling department M7' according to an intermediate effect theory, referring to each specific element point under an information overflow theory to issue a correlation level gamma with an information price file, and outputting intermediate conduction time required by each department according to the following steps:
And constructing a time-lag control model based on information cost conduction, and realizing the design of a reaction time-lag control method by using four key indexes of network density network association degree, network efficiency and network grade degree. Definition when element j in s information domain set changes, i.e. source changes, sink to final cost management can indirectly respond to s j The factor change intermediate index gamma receives the change and completes the decision and performs the total time difference ass j Channel link (information agency) l changing to gamma change sj1 ，l sj2 ，l sj3 …l sju Is->The reaction time lag of each link consists of cognition time lag, decision time lag and action time lag, and the cognition time lag of the fixed links to different important information is assumedDecision time lag +_ depending on the complexity of the network and the conduction path of the information>Action time-lag->Is similar, subject to
Reaction time lag of all channel linksAnd (3) counting:
wherein u is 0 Is the total number of channel links.
The obtained time-lag optimization model follows the overall logic of 'network overall characteristic analysis-intra-network individual (department) characteristic analysis-conduction time-lag analysis', and is characterized by using four indexes of overall network characteristic common network density, network association degree, network efficiency and network grade.
The network density reveals the number and complexity of relationships in the network, and is a measure of network completeness. The greater the number of relationships in the network, the higher the network density, meaning that the network as a whole can have a greater impact on the node individual attribute data (e.g., attitudes, behaviors, etc.). Network density is generally defined as the ratio of the number of relationships that the network actually exists to the maximum coefficient of relationship that the network theory can carry. The specific measuring and calculating method comprises the following steps:
D u ＝L/[N×(N-1)]；
wherein D is n For network density, L represents the relation number actually existing, U is the number of network nodes and L sj1 ，l sj2 ，l sj3 …l sju Consistent, U× (U-1) is the largest loadable relationship in the directed network graph.
The network association is used to represent the connectivity of the network, and if association connection exists among most nodes in the network, the overall network structure has higher connectivity and higher association. When a plurality of wires in the network are connected through only one node and two nodes, the network can generate larger dependence on the central node serving as the hub, and if the central node is eliminated, the whole network is possibly crashed, the whole network has poor robustness and lower association degree. The association degree is calculated as follows:
CR＝1-{V/[U×(U-1)/2]}；
where CR is the degree of network association and V is the logarithm of the points of unreachable in the network.
Network efficiency characterizes the extent to which redundant relationships exist in a network. In this study, the lower the network efficiency of department price conduction, the more overflow channels the department price conduction has, namely, multiple overlapping of price conduction paths exist, so that the whole network structure is more stable, and the network efficiency E can be expressed as:
E＝1-[M/max(M)]；
wherein M is the number of redundant lines in the network, and max (M) is the maximum number of redundant lines that can be carried by the network.
The network hierarchy may reveal the degree of reachability of each division in the network, asymmetrically, two by two. The network grade is calculated as follows:
H＝1-[K/max(K)]；
wherein, H is the network grade, K is the logarithm of the symmetrical reachable point in the network, and max (K) is the logarithm of the symmetrical reachable point which can be loaded by the network.
Based on the above information network characteristic characterization result, the adoption of the proximity centrality reflects the sum of shortcut distances between one node and other nodes in the network, and the proximity centrality is as follows:
wherein, d is ij Representing the shortcut distance between the information i and j.
Since the decision time lag and the operation time lag of the information are determined by the internal management intensity and the execution capacity and do not belong to the optimization content of the project, the decision time lag of each department is assumed Is constant with operation time lagAnd the information can be optimized by adjusting the information monitoring link and the conduction link during the information cognition essence. Due to network density D u And cognitive time-lag->In inverse proportion, the network association CR, the network grade H and the network efficiency E are all in direct proportion to the cognitive time lag, so that alpha coefficient is introduced to establish +.>The minimum time lag control model to obtain information minimum conduction time lag:
based on the time lag control model of information cost conduction, the control of the network density, the network association degree, the network efficiency and the network grade degree are realized by changing four indexes, and the time lag control model comprises the following steps: reducing network density achieves conduction time-lapse reduction: removing weak sensitive nodes with longer conduction time, opening the information transmission chain again, and realizing conduction time lag reduction, referring to fig. 2; the network association degree, the network efficiency and the network grade are improved, and the conduction time lag is reduced: the node information overflow point is lowered, information conduction is activated in advance, and therefore network efficiency is improved, conduction time lag is lowered, and reference is made to fig. 3.
And applying a time lag control method to the real tower material information price adjustment service chain, so that the response time is shortened, and the link conduction efficiency is improved. According to the conduction time lag control feasibility thought, a reaction time lag control method based on an information overflow benefit theory conduction model is designed, and the reaction time lag control method comprises the following steps: the reaction time lag control method for removing the weak sensitive node is considered: nodes can be classified into two types of strong sensitivity nodes and weak sensitivity nodes by means of mean value scribing grading, and the nodes can be expressed as follows:
After the weak sensitive node is judged to be obtained, the weak sensitive node is removed and an information transmission link is re-established, and the new total information transmission time length is obtained as follows:
where n' is the total node number after the weakly sensitive node is removed.
The reaction time lag control method considering the falling node information overflow point comprises the following steps: the visibility of personnel and organizations in the node departments to the cost data is enhanced, the information sensitivity theta i of the node departments i is improved, and the node information overflow points are lowered, so that the reaction time lag is reduced, and the control of the reaction time lag is realized. Expressed by the formula:
wherein, thetai and thetai' are respectively the information sensitivity before and after the node department carries out internal training; ti and ti' are respectively the information transfer duration before and after the information sensitivity of the node department i is improved.
According to the conduction time lag control feasibility thought, the reaction time lag control method based on the intermediate effect theory conduction model actually comprises the following steps: the causal stepwise regression method is used for judging the significance of the intermediate departments, and when a certain intermediate department generates higher-value information transfer effect after being influenced by the cost information domain set, the intermediate department is a significant intermediate department and can be reserved; when a certain intermediate department is influenced by the cost information domain set and does not generate higher-value information transfer function, the intermediate department is an insignificant intermediate department and can be removed; the inspection step is divided into three steps: firstly, analyzing regression of X to Y, and checking significance of a regression coefficient c; second, analyze the regression of X against M (M1, M2, M3..mn), check the significance of regression coefficient a; thirdly, analyzing the regression of X to Y after adding the intermediate variable Mi, and checking the significance of regression coefficients b and c'; and reserving the remarkable intermediation department, the raw material supplier X and the electric power construction rating station Y to obtain a new conductive link after reaction time lag control.
And applying a time lag control method to the real tower material information price adjustment service chain. The response time is shortened, the link conduction efficiency is improved, and support and basis are provided for power grid engineering information price adjustment time lag control. According to the transmission links and total transmission time length of the links between the related departments of the information price adjustment of the tower materials of the overhead line engineering, namely the raw material supplier, the equipment material manufacturer, the bidding agency, the material departments of the construction units, the foundation departments of the construction units, the power construction rated station, the inspection departments of the construction cost of the overhead line engineering, the construction cost compiling departments of the overhead line engineering, and the release of the information price adjustment files of the tower materials, the node attribute characteristics of the departments are combined, the associated level quantification of the sensitivity of the departments, the node influencing factors and the specific element points is realized, the time consumption of information transmission under each department is calculated, the time lag control is carried out according to the time lag control method of the information price adjustment of the tower materials, the response time is shortened, and the link transmission efficiency is improved.
Those skilled in the art will appreciate that all or part of the flow of the methods of the embodiments described above may be accomplished by way of a computer program to instruct associated hardware, where the program may be stored on a computer readable storage medium. Wherein the computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory, etc.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention.
Claims (10)
1. The overhead line engineering tower material information price adjustment time-lag control method is characterized by comprising the following steps of:
acquiring a conduction link between related departments of overhead line engineering tower material information price adjustment and connecting the conduction link to form a closed loop link, wherein the related departments on the closed loop link comprise tower material raw material suppliers, an electric power construction rated station and other departments in the middle;
by respectively introducing an information overflow benefit theory and an intermediate effect theory into the closed loop link, a first type cost information conduction model and a second type cost information conduction model are constructed;
calculating first information conduction time consumption and second information conduction time consumption of each department based on the first type cost information conduction model and the second type cost information conduction model respectively; and
and constructing a time lag control model based on information cost conduction based on the first information conduction time consuming and the second information conduction time consuming, and controlling the conduction time lag of the real tower material information price adjustment service chain by using the time lag control model through network density, network association degree, network efficiency and network grade.
2. The overhead line engineering tower information price adjustment time-lapse control method of claim 1, wherein the conductive links comprise the following transmission nodes: raw material suppliers, equipment material manufacturers, overhead line engineering bidding agents, construction unit material departments, construction unit foundation departments, electric power construction rated stations, overhead line engineering cost examination departments, overhead line engineering cost preparation departments, and until tower material information price adjustment files are finally released.
3. The overhead line engineering tower information price adjustment time-lapse control method of claim 2, wherein constructing a first type of cost information conduction model by introducing information overflow benefit theory into the closed loop link comprises:
introducing the information overflow benefit theory into the closed loop link, regarding the change of element information in a source in the power grid enterprise on the power transmission and transformation project cost control as information disclosure, and expressing the cost information conduction completion condition based on the information overflow benefit theory through the following function model:
wherein: fi (t) is an information accumulation function between time and information accumulation, and the function is concave, convex or linear according to the actual condition of the node i; zi (t) is a transfer completion status function, z=0 represents that the transfer activity from node i to node i+1 is incomplete, and z=1 represents that the transfer activity from node i to node i+1 is completed; yi is the ordinate value when the information overflows; the information overflow point indicates that the function zi (t) jumps from 0 to 1 after the instant fi (t) reaches yi.
4. The overhead line engineering tower information price adjustment time-lapse control method of claim 3, wherein calculating the first information transfer time consumption of each department based on the first type cost information transfer model comprises:
determining influencing factors of tower material information price adjustment actions;
determining specific element points in influencing factors of tower material information price adjustment actions;
calculating the association level gamma i of the specific element points and the information price file release in a spearman level correlation coefficient mode;
calculating sensitivity level index thetai of each node department for information price adjustment;
calculating a first information transfer time consumption for each department based on the correlation level and the sensitivity level index by the following formula:
where n is the total number of nodes in the information conducting link, T 1-n For information price release period, gamma i For the association level, theta, of the specific element point with the information price file release i Sensitivity level index adjusted for each node department to information price.
5. The overhead line engineering tower information price adjustment time-lapse control method according to claim 4, wherein constructing a second type of cost information conduction model by introducing an intermediate effect theory into the closed loop link comprises:
By introducing the intermediate effect theory into the closed loop link, exploring chain reaction and indirect influence among variables, for the transmission and transformation project construction cost business information conduction of each stage, an information source and an information sink are respectively used as an independent variable x and an independent variable y, and the existence of intermediate variable factors existing in a channel is used as the influence of the independent variable on the independent variable;
the construction information is conducted through a plurality of intermediate departments on a causal relation generation path from a construction information change source department to a construction information change action department, so that construction information change is indirectly perceived by the action department, corresponding construction control actions are made, and chain type intermediate conduction is further realized;
the intermediaries which play a higher role in explaining the information transfer between the source and the destination links are taken as obvious intermediaries.
6. The overhead line engineering tower information price adjustment time-lapse control method according to claim 5, wherein calculating second information conduction time consumption of each department based on the second type cost information conduction model comprises:
defining the following tower information price adjustment paths according to the intermediate effect theory: the method comprises the steps of a raw material supplier X, an equipment material manufacturer M1, an overhead line engineering bidding agency M2, a construction unit material department M3, a construction unit foundation department M4, an electric power construction rated station M5, an overhead line engineering cost examination department M6 and an overhead line engineering cost compiling department M7;
Calculating the second information conduction time consumption based on the association level of the specific element point and the information price file release through the following formula:
where n is the total number of nodes in the information conducting link, T 1-n For information value document release period, gamma i And issuing the association level of the final event for the specific element point and the information price file.
7. The overhead line engineering tower information price adjustment time-lapse control method of claim 6, wherein constructing a time-lapse control model based on information cost conduction based on the first information conduction time consuming and the second information conduction time consuming comprises:
definition when element j in s information domain set changes, sink to final cost management through indirect reaction s j The factor change intermediate index gamma receives the change and completes the decision and performs the total time difference as
s j Channel element l changing to gamma change sj1 ，l sj2 ，l sj3 …l sju The reaction time lag of (1) isWherein the response time lag of each channel link comprises awareness time lag +.>Decision time lag->Action time-lag->The reaction time lag is expressed by the following formula:
reaction time lag of all channel linksAnd (3) counting:
wherein u is 0 The total number of channel links is the total number of channel links;
establishment by introducing alpha coefficient Minimum time lag control model to obtain information minimum conduction time lag
Wherein due to network density D u And cognitive time lagIn inverse proportion, the network relevance CR, the network ranking H and the network efficiency E are all proportional to the cognitive time lags, the cognitive time lags are optimized by adjusting the information monitoring links and the conducting links, and the decision time lags of each department are +.>And operation time lag->Is set to a constant.
8. The overhead line engineering tower information price adjustment time-lapse control method of claim 7, wherein the time-lapse control model controls the conduction time-lapse of the real tower information price adjustment service chain by using network density, network association, network efficiency, network hierarchy, and the like, comprising:
conduction time lags are reduced by reducing network density: removing weak sensitive nodes with longer conduction time, opening the information transmission chain again, and reducing the conduction time lag; and
reducing the conduction time lag by increasing the network association, the network efficiency, the network rank: reducing node information overflow points, activating information conduction in advance, improving network efficiency and reducing conduction time lag, wherein,
the network density represents the number of relations and the complexity in the network, which is a measure for the completeness of the network, wherein the higher the number of relations in the network, the higher the network density;
The network association degree indicates the connectivity of the network, when most nodes in the network are commonly connected with each other, the overall network structure has higher connectivity and higher association degree, and when a plurality of lines in the network are connected through only one node and two nodes, the network generates larger dependence on a central node serving as a hub, wherein if the central node is eliminated, the overall network is crashed, the overall robustness of the network is poor, and the association degree is lower;
the network efficiency represents the existence degree of a redundant relation in the network, wherein the lower the network efficiency of department price conduction is, the more overflow channels are provided for the price conduction among departments, and multiple superposition of price conduction paths exists, so that the whole network structure is more stable; and
the network hierarchy represents the degree of reachability of each division in the network asymmetrically between two departments.
9. The overhead line engineering tower information price adjustment time-lapse control method of claim 8, wherein removing weak sensitive nodes requiring longer conduction time, re-opening an information transfer chain, and reducing the conduction time-lapse comprises:
nodes are divided into strongly sensitive nodes and weakly sensitive nodes by the following formula:
After judging the weak sensitive node, removing the weak sensitive node and reestablishing an information transmission link to obtain a new total information transmission time length as follows:
wherein n' is the total node number after the weak sensitive node is removed;
reducing node information overflow points, activating information conduction in advance, improving network efficiency and reducing conduction time lag comprises: by strengthening the visibility of personnel and organizations in the node departments to the cost data, the information sensitivity theta i of the node departments i is improved, the node information overflow point is reduced, the reaction time lag is reduced, and the conduction time lag is calculated by the following formula:
and the ti and ti' are respectively the information transmission time lengths before and after the information sensitivity of the node department i is improved.
10. The utility model provides an overhead line engineering tower material information price adjustment time-lapse controlling means which characterized in that includes:
the system comprises a link acquisition module, a link control module and a link control module, wherein the link acquisition module is used for acquiring a conduction link between related departments of overhead line engineering tower material information price adjustment and connecting the conduction link to form a closed loop link, and the related departments on the closed loop link comprise tower material raw material suppliers, an electric power construction rated station and other departments in the middle;
The manufacturing cost information conduction model is used for respectively constructing a first type manufacturing cost information conduction model and a second type manufacturing cost information conduction model by introducing an information overflow benefit theory and an intermediate effect theory into the closed loop link;
the conduction time consumption calculation module is used for calculating first information conduction time consumption and second information conduction time consumption of each department based on the first type cost information conduction model and the second type cost information conduction model; and
the time lag control model is used for constructing a time lag control model based on information cost conduction based on the first information conduction time consuming and the second information conduction time consuming, wherein the time lag control model is used for controlling the conduction time lag of the real tower material information price adjustment service chain by utilizing network density, network association degree, network efficiency and network grade.
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