Power grid construction project planning method and device, electronic equipment and storage medium

Abstract

The invention discloses a power grid construction project planning method and device, electronic equipment and a storage medium. The method comprises the following steps: determining an overall target of a power grid construction project, dividing the overall target into a plurality of sub-targets according to a preset division rule, and determining an arrangement sequence and an association relationship among the sub-targets; interference factors influencing the power grid construction project are obtained, and index information of the progress of each sub-target is determined according to the interference factors; the index information is used for describing the delay duration of the interference factor on the progress of the sub-target; establishing a target function according to the index information of the sub-targets and the association relationship, and determining time progress information of each sub-target based on the target function; and according to the time progress information of each sub-target, determining a resource variation required by the sub-target, and determining a resource allocation scheme of the sub-target according to the resource variation. The method solves the problems that a traditional planning method lacks a scientific and reasonable mechanism in progress plan adjustment and is poor in flexibility due to loss of another mechanism.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent power distribution networks, and particularly to a planning method, device, electronic device, and storage medium for a power grid construction project. Background Art

[0002] With the rapid economic development and the continuous improvement of the society's requirements for the reliability of power supply, the number of power grid construction projects is increasing day by day and the scale is constantly expanding. In the implementation of power grid construction projects, they are often affected by various interference factors, such as bad weather, changes in policies and regulations, shortages in material supply, and sudden public events, which are likely to cause changes in the project progress.

[0003] However, when the current relevant control methods deal with such situations, there are obvious deficiencies in starting dynamic adjustment strategies based on the analysis results of interference factors. In the adjustment of the progress plan, there is a lack of a reasonable mechanism based on the overall goal of the project. Most of them simply postpone the time of the affected links, resulting in taking one thing into consideration while neglecting another and poor flexibility. They often operate mechanically according to experience, resulting in large deviations in the planning results, which will also lead to insufficient accuracy in resource allocation, making it difficult to allocate resources as needed, and prone to situations where materials do not meet requirements or are wasted. Summary of the Invention

[0004] The present invention provides a planning method, device, electronic device, and storage medium for a power grid construction project to solve the problems of the traditional planning method lacking a scientific and reasonable mechanism, taking one thing into consideration while neglecting another, and poor flexibility in the adjustment of the progress plan.

[0005] According to one aspect of the present invention, a planning method for a power grid construction project is provided. The method includes:

[0006] Determine the overall goal of the power grid construction project, divide the overall goal into multiple sub-goals according to a preset division rule, and determine the arrangement order and correlation relationship between each sub-goal;

[0007] Obtain the interference factors affecting the power grid construction project, and determine the index information of the progress of each sub-goal according to the interference factors; the index information is used to describe the delay duration of the interference factors on the progress of the sub-goal;

[0008] Establish an objective function according to the index information and the correlation relationship of the sub-goal, and determine the time progress information of each sub-goal based on the objective function; the objective function aims to minimize the total project duration delay of the overall goal of the power grid construction project;

[0009] Determine the resource change amount required for each sub-goal according to the time progress information of each sub-goal, and determine the resource allocation plan for each sub-goal according to the resource change amount.

[0010] According to another aspect of the present invention, there is provided a planning device for a power grid construction project, the device comprising:

[0011] A division module, configured to determine the overall goal of the power grid construction project, divide the overall goal into multiple sub-goals according to a preset division rule, and determine the arrangement order and association relationship between the sub-goals;

[0012] An index information determination module, configured to obtain interference factors affecting the power grid construction project, and determine index information on the progress of each sub-goal according to the interference factors; the index information is used to describe the delay duration of the interference factors on the sub-goal progress;

[0013] A time progress information determination module, configured to establish an objective function according to the index information and the association relationship of the sub-goals, and determine the time progress information of each sub-goal based on the objective function; the objective function aims to minimize the total project duration delay of the overall goal of the power grid construction project;

[0014] A resource allocation plan determination module, configured to determine the resource change amount required for each sub-goal according to the time progress information of each sub-goal, and determine the resource allocation plan for each sub-goal according to the resource change amount.

[0015] According to another aspect of the present invention, there is provided an electronic device, the electronic device comprising:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the planning method for the power grid construction project according to any embodiment of the present invention.

[0019] According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the planning method for the power grid construction project according to any embodiment of the present invention when executed.

[0020] The technical solution of the embodiment of the present invention determines the overall goal of the power grid construction project, divides the overall goal into multiple sub-goals according to a preset division rule, and determines the arrangement order and correlation relationship between the sub-goals; realizes the scientific division of the overall goal and accurately confirms the correlation relationship between the sub-goals, which is convenient for more precise determination of the progress of the sub-goals subsequently. Then, it obtains the interference factors affecting the power grid construction project, and determines the index information of the progress of each sub-goal according to the interference factors; realizes the accurate analysis of the interference factors and quantifies the impact of the interference factors on the delay duration of the progress of each sub-goal of the project; further establishes an objective function according to the index information and correlation relationship of the sub-goals, and determines the time progress information of each sub-goal based on the objective function; the objective function aims to minimize the total project duration delay of the power grid construction project; realizes the scientific adjustment of the remaining work progress of the project, avoids simply extending the time of the affected links, effectively guarantees the overall progress, and further determines the resource change amount required for the sub-goals according to the time progress information of each sub-goal, and determines the resource allocation plan for the sub-goals according to the resource change amount, solves the problems of the traditional planning method lacking a scientific and reasonable mechanism, taking one thing and losing another, and poor flexibility in the adjustment of the progress plan, and overcomes the defect of insufficient accuracy in resource allocation of the traditional method.

[0021] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present invention, nor is it used to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0023] Figure 1 is a flowchart of a planning method for a power grid construction project according to an embodiment of the present invention;

[0024] Figure 2 is a flowchart of a planning method for a power grid construction project according to an embodiment of the present invention;

[0025] Figure 3 is a schematic structural diagram of a planning device for a power grid construction project according to an embodiment of the present invention;

[0026] Figure 4 is a schematic structural diagram of an electronic device for implementing the planning method of the power grid construction project in the embodiment of the present invention. Detailed implementation mode

[0027] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] It should be noted that the terms "first", "second", "third", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0029] Embodiment 1

[0030] Figure 1 As shown in the flowchart of a planning method for a power grid construction project provided in an embodiment of the present invention, this embodiment is applicable to the situation of planning and control of a power grid construction project. This method can be executed by a planning device for a power grid construction project. The planning device for a power grid construction project can be implemented in the form of hardware and / or software, and the planning device for a power grid construction project can be configured in any electronic device with network communication functions. As Figure 1 shown, the planning method for a power grid construction project of the present invention includes:

[0031] S110. Determine the overall goal of the power grid construction project, divide the overall goal into multiple sub-goals according to a preset division rule, and determine the arrangement order and association relationship between each sub-goal.

[0032] Among them, the preset division rule can be understood as a rule for dividing the overall goal according to different stages, different professional fields, and different participating departments in the implementation of the power grid construction project. The association relationship between each sub-goal can be represented by an adjacency matrix Aij. Among them, when Aij = 1, there is an association relationship between sub-goal i and sub-goal j, and when Aij is equal to 0, there is no association relationship between sub-goal i and sub-goal j.

[0033] Specifically, the overall objectives of the power grid construction project are determined based on its functional orientation, technical specification requirements, and expected economic and social benefits. According to different stages, different professional fields, and different participating departments in the implementation of the power grid construction project, the overall objectives are decomposed into multiple specific sub-objectives.

[0034] Furthermore, each sub-objective clearly defines the responsible entity, expected completion time, and deliverable requirements. Each sub-objective is abstracted as a node in the network model, and the node is identified by a specific symbol or number. At the same time, corresponding attribute information is assigned to each sub-objective. The attribute information can include information such as the sub-objective name, responsible entity, expected completion time, quality requirements, etc. According to the association relationship between sub-objectives, directed edges are used to connect the nodes of related sub-objectives, so as to more clearly define the arrangement order between each sub-objective.

[0035] Exemplarily, the multiple sub-objectives divided for the overall objectives of the power grid construction project can include: Sub-objective 1: Confirmation of the sub-objective project scope; Sub-objective 2: Initial objective stratification; Sub-objective 3: Definition of sub-objective attributes; Sub-objective 4: Construction of the network model; Sub-objective 5: Logical verification and conflict resolution; Sub-objective 6: Collection of interference factors; Sub-objective 7: Quantitative modeling of interference impacts; Sub-objective 8: Design of the flexible plan; Sub-objective 9: Real-time data fusion and early warning; Sub-objective 10: Quick response to interference events; Sub-objective 11: Quantitative analysis of performance indicators; Sub-objective 12: Update of the knowledge base and iteration of strategies.

[0036] S120. Obtain the interference factors affecting the power grid construction project, and determine the index information of the progress of each sub-objective according to the interference factors; the index information is used to describe the delay duration of the interference factors on the sub-objective progress.

[0037] Among them, the interference factors can be understood as the factors affecting the implementation process of the power grid construction project. The interference factors include, but are not limited to, environmental factors, policy adjustments, information on material supply, etc.

[0038] Exemplarily, the environmental factors can be information on bad weather, and the environmental factors can be real-time meteorological data of the area where the power grid construction project is located released by the meteorological department. Policy adjustments can be information obtained by docking with the policy and regulation release platform of government departments, information on paying attention to the update of policies and regulations related to power grid construction, and policy changes leading to project plan adjustments. The information on material supply can be information on the supply situation of various construction materials and the changing trend of market supply and demand collected by the information system connecting the material supply market. The information on material supply can more clearly understand the impact of material supply shortages or abnormal price fluctuations on the project.

[0039] In addition, the interference factors may also include collecting real-time construction data from various monitoring devices at the power grid construction project site to grasp the actual construction progress, personnel attendance status, and information on whether there are sudden accidents at the project site.

[0040] Specifically, after obtaining the interference factors affecting the power grid construction project, match the interference factors with various interference factor characteristics in the preset interference factor feature library, and identify the interference factors whose influence on the sub-goals exceeds the preset influence degree as the updated interference factors, so as to determine the index information of the interference factors on the progress of each sub-goal based on the updated interference factors. Among them, the preset interference factor feature library can be the relationship and influence degree between different sub-goals and the interference factors affecting the sub-goals. The preset interference factor feature library can be formed by processing various data information affecting the power grid construction project collected in real time through MySQL software.

[0041] Furthermore, there is a first correspondence relationship between the interference factors and the index information, and a second correspondence relationship between the combination of different interference factors and the index information. After obtaining the interference factors, the index information of the progress of each sub-goal can be determined through the first correspondence relationship and the second correspondence relationship; the index information is used to describe the delay duration of the interference factors on the progress of the sub-goals.

[0042] S130. Establish an objective function based on the index information and the association relationship of the sub-goals, and determine the time progress information of each sub-goal based on the objective function; the objective function aims to minimize the total project duration delay of the overall goal of the power grid construction project.

[0043] Among them, the time progress information can be understood as the time information for adjusting the current time progress of each sub-goal.

[0044] Specifically, the index information can be understood as the quantitative analysis result of the interference factors on each sub-goal, that is, it is used to describe the delay duration of the interference factors on the progress of the sub-goals. Then, an objective function is constructed through the association relationship between the index information and the sub-goals. In this way, the objective function can more scientifically represent the relevance between each sub-goal, and thus more accurate time progress information of each sub-goal can be obtained by solving the objective function.

[0045] Furthermore, determining the time progress information of each sub-goal based on the objective function may include: obtaining a solution value by solving the objective function; when the solution value is less than or equal to the preset value, the time progress information of each sub-goal corresponding to the solution value is used as the final time progress information of each sub-goal; if the solution value is greater than or equal to the preset value, continue to iteratively solve the objective function until the solution value is less than or equal to the preset value, and the time progress information of each sub-goal corresponding to the solution value is used as the final time progress information of each sub-goal.

[0046] S140. Determine the resource change amount required for the sub-goals based on the time progress information of each sub-goal, and determine the resource allocation plan for the sub-goals according to the resource change amount.

[0047] Among them, the resource change amount can be understood as the change situation of human, material, and financial resources, etc. due to the influence of time progress information, and can be represented by quantitative indicators, so as to more precisely indicate the change situation of resources, that is, the resource allocation of each sub-goal can be carried out more accurately.

[0048] Optionally, the resource change amount includes the human resource change amount, the material resource change amount, and the financial resource change amount.

[0049] Assume that under the original planned progress, for the i-th sub-goal, the required quantity of the labor type L in the human resources at time t is expressed as The required quantity of the material resources is expressed as The budget allocation for the financial resources is expressed as bi(t). After being affected by interference factors, the time progress information changes, and the corresponding time of the adjusted progress plan is t1. Then, the human resource change amount of the required human resources of the labor type L after adjustment is The material resource change amount And the financial resource change amount Δbi(t1) can be calculated by the following formula:

[0050]

[0051] Among them, is the change rate of the labor demand of the labor type L at time τ under normal progress, and the change rate of the progress delay duration of the sub-goal j with time is expressed as The influence rate of the change of the progress delay duration of the sub-goal j on the labor demand of the labor type L is expressed as

[0052] Correspondingly, determining the resource allocation plan for the sub-goals according to the resource change amount may include: obtaining the idle quantity of human resources, the inventory quantity of material resources, and the capital cost of financial resources in different construction areas; determining the resource allocation plan for the sub-goals based on the idle quantity of human resources, the inventory quantity of material resources, the capital cost of financial resources, the human resource change amount, the material resource change amount, and the financial resource change amount.

[0053] Specifically, collect and obtain relevant information such as the idle quantity of human resources, the inventory quantity of material resources, and the capital cost of financial resources in different construction areas. Assume that there are a total of p departments or construction areas, and the current idle quantity of human resources in the j-th area is expressed as The inventory quantity of the material resources is The unit transportation cost for allocating human resources from area j to area i is expressed as The unit transportation cost for allocating material resources is expressed as Resource allocation plan C can be expressed by the following formula:

[0054]

[0055] Where q is the number of types in the inventory of material resources, ωijn is the comprehensive allocation impact coefficient when the i-th sub-goal allocates the n-th resource from region j, Δsijn is the change in other related impact indicators corresponding to the allocation of the n-th resource, and cf is the capital cost coefficient of unit financial resources.

[0056] The technical solution of this embodiment comprehensively considers the resource status and allocation costs of each region, realizes accurate allocation of resources, avoids materials that do not meet requirements or are wasted, and overcomes the defect of insufficient accuracy of traditional methods in resource allocation.

[0057] The technical solution of the embodiment of the present invention determines the overall goal of the power grid construction project, divides the overall goal into multiple sub-goals according to preset division rules, and determines the arrangement order and correlation relationship between the sub-goals; it realizes the scientific division of the overall goal and accurately confirms the correlation relationship between the sub-goals, which is convenient for the subsequent more detailed determination of the progress of the sub-goals. Then, the interference factors affecting the power grid construction project are obtained, and the indicator information of the progress of each sub-goal is determined according to the interference factors; the interference factors are accurately analyzed to quantify their impact on the delay time of each sub-goal of the project; further, the objective function is established according to the indicator information and correlation of the sub-goals, and the time progress information of each sub-goal is determined based on the objective function; the objective function aims to minimize the total construction period delay of the overall goal of the power grid construction project; the progress of the remaining work of the project is adjusted on a scientific basis to avoid simply postponing the time of the affected links and effectively ensure the overall progress; further, according to the time progress information of each sub-goal, the resource change required by the sub-goal is determined, and the resource allocation plan of the sub-goal is determined according to the resource change, which solves the problems of lack of scientific and reasonable mechanism, loss of balance and poor flexibility in the adjustment of the progress plan of the traditional planning method, and overcomes the defect of insufficient accuracy of the traditional method in resource allocation.

[0058] Embodiment 2

[0059] Figure 2 This is a flow chart of a planning method for a power grid construction project provided by an embodiment of the present invention. The technical solution of this embodiment further optimizes the processes of S120 and S130 in the above-mentioned embodiment on the basis of the above-mentioned embodiment. This embodiment can be combined with various optional solutions in one or more of the above-mentioned embodiments. Figure 2 As shown, the planning method of the power grid construction project of the present invention includes:

[0060] S210. Determine the overall goal of the power grid construction project, divide the overall goal into multiple sub-goals according to the preset division rules, and determine the arrangement order and correlation relationship among the sub-goals.

[0061] S220. Obtain the interference factors affecting the power grid construction project, and determine the index information of the progress of each sub-goal according to the interference factors; the index information is used to describe the delay duration of the interference factors on the progress of the sub-goal, and the interference factors include environmental characteristics, policy adjustment characteristics, and material characteristics.

[0062] Among them, the environmental characteristics include the number of preset weather types, the influence weight corresponding to the preset weather type, the duration coefficient corresponding to the preset weather type, the intensity index corresponding to the preset weather type, the sensitivity coefficient corresponding to the preset weather type, and the adaptability coefficient corresponding to the preset weather type. Exemplarily, the preset weather types can be different degrees of bad weather.

[0063] The policy adjustment characteristics include the number of project content classifications affected by policy adjustments in the projects included in the sub-goal, the workload of the adjusted project content, the influence coefficient affected by policy adjustments, the weight coefficient corresponding to the workload of the project content, the adjustment quantity corresponding to the project policy adjustment, and the time-consuming weight coefficient corresponding to the project policy adjustment.

[0064] The material characteristics include the influence coefficient affected by materials, the degree coefficient corresponding to the material characteristics, the information of alternative materials, the time period for finding new supply sources, the number of factors of the reference factors affecting the acquisition time of new supply sources, the influence weight coefficient of the reference factors, and the time increase amount caused by the reference factors.

[0065] Further, determining the index information of the interference factors on the progress of each sub-goal according to the interference factors includes:

[0066] If the interference factor is environmental characteristics, the index information Tyw can be expressed by the following formula:

[0067]

[0068] Among them, n is the number of preset weather types, m is the number of construction stages affected, Wij is the influence weight of the i-th preset weather type on the j-th construction stage, Fij is the intensity index of the i-th preset weather type occurring in the current project area, pi is the duration coefficient of the i-th preset weather type; θj is the sensitivity coefficient of the j-th construction stage to the preset weather type; is the adaptability coefficient of the i-th preset weather type to the j-th construction stage;

[0069] If the interference factor is policy adjustment characteristics, the index information Ttc can be expressed by the following formula:

[0070]

[0071] Among them, P is the influence coefficient affected by policy adjustment, s is the number of project content classifications affected by policy adjustment in the projects included under the sub-goal, αk is the weight coefficient corresponding to the workload of the k-th type of project content, Qk is the quantified value of the workload of the k-th type of project content, t is the adjustment quantity corresponding to the project policy adjustment, βι is the time-consuming weight coefficient of the ι-th adjustment step, and Cι is the standard time-consuming of the ι-th adjustment step;

[0072] The interference factor is the material characteristic, and the index information Tgy can be expressed by the following formula:

[0073]

[0074] Among them, S is the influence coefficient affected by the material, K is the degree coefficient corresponding to the material characteristic, R is the alternative material information, Tnew is the time period for finding a new supply source, v is the number of factors of the reference factor affecting the acquisition time of the new supply source, γu is the influence weight coefficient of the u-th reference factor, and ΔTu is the time increase caused by the u-th reference factor.

[0075] S230. Determine the progress delay duration of the sub-goal according to the index information of the sub-goal, determine the relationship influence weight between sub-goals according to the association relationship, establish the objective function based on the progress delay duration, association relationship and relationship influence weight, and determine the time progress information of each sub-goal based on the objective function. The objective function aims to minimize the total project duration delay of the overall goal of the power grid construction project.

[0076] Specifically, the objective function can be expressed by the following formula:

[0077]

[0078] Among them, αi is the importance coefficient of the i-th sub-goal, Δti is the progress delay duration of the i-th sub-goal affected by the interference factor, wij is the relationship influence weight, the association relationship between each sub-goal represented by the adjacency matrix Aij, Δtj is the progress delay duration of the j-th sub-goal affected by the interference factor, λik is the influence coefficient of the k-th resource of the i-th sub-goal, and Δrik is the change amount of the k-th resource demand caused by the i-th sub-goal affected by the interference factor.

[0079] Exemplarily, solve the objective function to obtain the solution value Z; when the solution value Z is less than or equal to the preset value, then use the time progress information of each sub-objective corresponding to the solution value Z as the final time progress information of each sub-objective; if the solution value is greater than or equal to the preset value, continue to iteratively solve the objective function until the solution value is less than or equal to the preset value, and use the time progress information of each sub-objective corresponding to the solution value as the final time progress information of each sub-objective.

[0080] Furthermore, the objective function can be constrained by preset constraint conditions; the preset constraint conditions can include a first constraint condition, a second constraint condition, and a third constraint condition; the first constraint condition is used to describe the constraint on the progress delay duration, the second constraint condition is used to describe the constraint on the human resource demand, and the third constraint condition is used to describe the constraint on the material resource.

[0081] Because the overall construction period of the power grid construction project meets the requirements of the set final goal, the total construction period cannot exceed the original planned construction period plus the maximum allowable delay duration Tmax, and the first constraint condition can be expressed as:

[0082]

[0083] Because, according to the change situation of the resource demand corresponding to the progress plan adjusted for each sub-objective, it is necessary to meet the total limit of the allocable resources. Assume that the total amount of human resources is expressed as Hto, and the total amount of material resource k is expressed as The demand for human resources after the adjustment of the i-th sub-objective is expressed as hi, and the demand for material resource k is expressed as The total amount of material resources is expressed as Then the second constraint condition can be expressed as:

[0084]

[0085] The third constraint condition can be expressed as:

[0086]

[0087] Furthermore, assume that the supply cycle of the material resource is Tcy, and the minimum interval time for the supply of the material resource is ΔTmin. For any two consecutive time intervals [t1, t2] and [t2, t3], the third constraint condition also includes the following formula:

[0088]

[0089] S240. According to the time progress information of each sub-objective, determine the resource change amount required for the sub-objective, and determine the resource allocation plan for the sub-objective according to the resource change amount.

[0090] The present invention can adjust the resource allocation plan in real time during the project implementation process, and can also regularly evaluate the power grid construction project according to the set performance evaluation index system, conduct quantitative analysis according to the performance evaluation index system based on the actual operation data collected, generate a detailed performance evaluation report, optimize according to the evaluation report, and integrate these optimization and adjustment measures into the formulation process of the next round of dynamic resource allocation plans, improve the interference factor monitoring and analysis module, the dynamic adjustment strategy of the schedule plan, and the resource allocation strategy link to form a closed-loop management mechanism.

[0091] The technical solution of the embodiment of the present invention determines the overall goal of the power grid construction project, divides the overall goal into multiple sub-goals according to preset division rules, and determines the arrangement order and correlation relationship between the sub-goals; it realizes the scientific division of the overall goal and accurately confirms the correlation relationship between the sub-goals, which is convenient for the subsequent more detailed determination of the progress of the sub-goals. Then, interference factors affecting the power grid construction project are obtained, and the indicator information of the progress of each sub-goal is determined according to the interference factors. Because the interference factors include environmental characteristics, policy adjustment characteristics and material characteristics, it is achieved through accurate analysis of the above interference factors to quantify their impact on the delay time of each sub-goal of the project; further, the progress delay time of the sub-goal is determined according to the indicator information of the sub-goal, the relationship influence weight between the sub-goals is determined according to the correlation relationship, the objective function is established based on the progress delay time, the correlation relationship and the relationship influence weight, and the time progress information of each sub-goal is determined based on the objective function, so that the progress of the remaining work of the project is adjusted on a scientific basis, and the time of the affected links is avoided. The overall progress is effectively guaranteed. Further, according to the time progress information of each sub-goal, the resource change required by the sub-goal is determined, and the resource allocation plan of the sub-goal is determined according to the resource change. The problem of lack of scientific and reasonable mechanism, loss of balance and poor flexibility in the traditional planning method in the adjustment of the progress plan is solved, and the defect of insufficient accuracy of the traditional method in resource allocation is overcome.

[0092] Embodiment 3

[0093] Figure 3 This is a schematic diagram of the structure of a planning device for a power grid construction project provided by an embodiment of the present invention. This embodiment can be applied to the situation of planning and controlling power grid construction projects. The planning device for the power grid construction project can be implemented in the form of hardware and / or software. The planning device for the power grid construction project can be configured in any electronic device with network communication function. Figure 3 As shown, the planning device for the power grid construction project of the present invention includes:

[0094] A division module 310, configured to determine the overall goal of a power grid construction project, divide the overall goal into multiple sub-goals according to a preset division rule, and determine the arrangement order and association relationship among the sub-goals;

[0095] An index information determination module 320, configured to obtain interference factors affecting the power grid construction project, and determine index information on the progress of each sub-goal according to the interference factors; the index information is used to describe the delay duration of the interference factors on the progress of the sub-goal;

[0096] A time schedule information determination module 330, configured to establish an objective function according to the index information and the association relationship of the sub-goals, and determine the time schedule information of each sub-goal based on the objective function; the objective function aims to minimize the total project duration delay of the overall goal of the power grid construction project;

[0097] A resource allocation plan determination module 340, configured to determine the resource change amount required for each sub-goal according to the time schedule information of each sub-goal, and determine the resource allocation plan for each sub-goal according to the resource change amount.

[0098] Based on the above embodiments, optionally, the interference factor is an environmental characteristic, and the environmental characteristic includes the number of preset weather types, the influence weight corresponding to the preset weather type, the duration coefficient corresponding to the preset weather type, the intensity index corresponding to the preset weather type, the sensitivity coefficient corresponding to the preset weather type, and the adaptability coefficient corresponding to the preset weather type;

[0099] The interference factor is a policy adjustment characteristic, and the policy adjustment characteristic includes the number of project content classifications affected by policy adjustments in the projects included in the sub-goal, the workload of the adjusted project content, the influence coefficient affected by policy adjustments, the weight coefficient corresponding to the workload of the project content, the adjustment quantity corresponding to the project policy adjustment, and the time-consuming weight coefficient corresponding to the project policy adjustment;

[0100] The interference factor is a material characteristic, and the material characteristic includes the influence coefficient affected by the material, the degree coefficient corresponding to the material characteristic, the alternative material information, the time period for finding a new supply source, the number of factors of the reference factors affecting the acquisition time of the new supply source, the influence weight coefficient of the reference factors, and the time increase amount caused by the reference factors.

[0101] Based on the above embodiments, optionally, the index information determination module is configured to:

[0102] When the interference factor is an environmental characteristic, the index information Tyw is expressed by the following formula:

[0103]

[0104] Wherein, n is the number of preset weather types, m is the number of construction stages affected, Wij is the influence weight of the i-th preset weather type on the j-th construction stage, Fij is the intensity index of the occurrence of the i-th preset weather type in the area where the current project is located, pi is the duration coefficient of the i-th preset weather type; θj is the sensitivity coefficient of the j-th construction stage to the preset weather type; is the adaptability coefficient of the i-th preset weather type to the j-th construction stage;

[0105] The interference factor is the policy adjustment feature, and the index information Ttc is expressed by the following formula:

[0106]

[0107] Wherein, P is the influence coefficient affected by the policy adjustment, s is the number of project content classifications affected by the policy adjustment in the projects included in the sub-goal, αk is the weight coefficient corresponding to the workload of the k-th type of project content, Qk is the quantified value of the workload of the k-th type of project content, t is the adjustment quantity corresponding to the project policy adjustment, βι is the time-consuming weight coefficient of the ι-th adjustment step, and Cι is the standard time-consuming of the ι-th adjustment step;

[0108] The interference factor is the material feature, and the index information Tgy is expressed by the following formula:

[0109]

[0110] Wherein, S is the influence coefficient affected by the material, K is the degree coefficient corresponding to the material feature, R is the information of the replaceable material, Tnew is the time period for finding a new supply source, v is the number of factors of the reference factor affecting the acquisition time of the new supply source, γu is the influence weight coefficient of the u-th reference factor, and ΔTu is the time increase caused by the u-th reference factor.

[0111] Based on the above embodiments, optionally, the time schedule information determination module includes an objective function establishment unit, and the objective function establishment unit is configured to: determine the progress delay duration of the sub-goal according to the index information of the sub-goal; the progress delay duration is used to describe the duration delay information of the sub-goal caused by the influence of the interference factor; determine the relationship influence weight between the sub-goals according to the association relationship; establish the objective function based on the progress delay duration, the association relationship and the relationship influence weight;

[0112] Correspondingly, the objective function is expressed by the following formula:

[0113]

[0114] Among them, αi is the importance coefficient of the i-th sub-goal, Δti is the progress delay duration of the i-th sub-goal affected by interference factors, wij is the relationship influence weight, which represents the association relationship between each sub-goal through the adjacency matrix Aij, Δtj is the progress delay duration of the j-th sub-goal affected by interference factors, λik is the influence coefficient of the k-th resource of the i-th sub-goal, and Δrik is the change amount of the k-th resource demand caused by the i-th sub-goal affected by interference factors.

[0115] Based on the above embodiments, optionally, the objective function is constrained by preset constraint conditions; the preset constraint conditions include a first constraint condition, a second constraint condition, and a third constraint condition; the first constraint condition is used to describe the constraint on the progress delay duration, the second constraint condition is used to describe the constraint on the human resource demand, and the third constraint condition is used to describe the constraint on the material resource.

[0116] Based on the above embodiments, optionally, the resource change amount includes the human resource change amount, the material resource change amount, and the financial resource change amount.

[0117] Based on the above embodiments, optionally, the resource allocation plan determination module is used to: obtain the number of idle human resources, the inventory quantity of material resources, and the capital cost of financial resources in different construction areas; determine the resource allocation plan for the sub-goals based on the number of idle human resources, the inventory quantity of material resources, the capital cost of financial resources, the human resource change amount, the material resource change amount, and the financial resource change amount.

[0118] The planning device for the power grid construction project provided by the embodiments of the present invention can execute the planning method for the power grid construction project provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0119] Embodiment Four

[0120] According to the embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0121] Figure 4The structural schematic diagram of an electronic device that can be used to implement the planning method of the power grid construction project according to the embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, personal digital processors, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are only examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0122] As Figure 4 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0123] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disc, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0124] The processor 11 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the planning method of the power grid construction project.

[0125] In some embodiments, the planning method of the power grid construction project can be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the planning method of the power grid construction project described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the planning method of the power grid construction project by any other suitable means (e.g., by means of firmware).

[0126] The various embodiments of the systems and techniques described above in this document can be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGA), application specific integrated circuits (ASIC), application specific standard products (ASSP), systems-on-chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that receives data and instructions from a storage system, at least one input device, and at least one output device, and transmits the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0127] The computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer programs are executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer programs can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0128] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0129] To provide for interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide for interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, speech input, or tactile input).

[0130] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0131] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, and solves the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0132] It should be understood that various forms of the processes shown above can be used, steps can be reordered, added or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is made herein.

[0133] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A planning method for a power grid construction project, characterized in that: The method comprises: Determine the overall goal of the power grid construction project, divide the overall goal into multiple sub-goals according to the preset division rules, and determine the arrangement order and correlation relationship between the sub-goals; Obtain interference factors that affect the power grid construction project, and determine indicator information of the progress of each sub-goal according to the interference factors; the indicator information is used to describe the delay duration of the interference factors on the progress of the sub-goal; Establishing an objective function according to the indicator information and the association relationship of the sub-goals, and determining the time schedule information of each sub-goal based on the objective function; the objective function aims to minimize the total construction delay of the overall goal of the power grid construction project; According to the time progress information of each of the sub-goals, the resource change amount required by the sub-goal is determined, and the resource allocation plan of the sub-goal is determined according to the resource change amount.

2. The method according to claim 1, characterized in that The interference factor is an environmental feature, which includes the number of preset weather types, the influence weight corresponding to the preset weather type, the duration coefficient corresponding to the preset weather type, the intensity index corresponding to the preset weather type, the sensitivity coefficient corresponding to the preset weather type, and the adaptability coefficient corresponding to the preset weather type; The interference factor is a policy adjustment feature, which includes the number of project content categories affected by the policy adjustment in the projects included in the sub-goals, the workload of adjusting the project content, the impact coefficient affected by the policy adjustment, the weight coefficient corresponding to the workload of the project content, the number of adjustments corresponding to the project policy adjustment, and the time-consuming weight coefficient corresponding to the project policy adjustment; The interference factors are material characteristics, which include the influence coefficient affected by the materials, the degree coefficient corresponding to the material characteristics, the information of alternative materials, the time period for finding a new supply source, the number of factors of the reference factors affecting the time of obtaining a new supply source, the influence weight coefficient of the reference factors and the time increase caused by the reference factors.

3. The method according to claim 2, characterized in that Determining the indicator information of the progress of each of the sub-goals according to the interference factors includes: The interference factor is an environmental feature, and the indicator information Tyw is expressed by the following formula: Where n is the number of preset weather types, m is the number of affected construction stages, Wij is the impact weight of the i-th preset weather type on the j-th construction stage, Fij is the intensity index of the i-th preset weather type in the current project area, pi is the duration coefficient of the i-th preset weather type; θj is the sensitivity coefficient of the j-th construction stage to the preset weather type; is the adaptability coefficient of the i-th preset weather type to the j-th construction stage; The interference factor is a policy adjustment feature, and the indicator information Ttc is expressed by the following formula: Among them, P is the impact coefficient affected by policy adjustment, s is the number of project content categories affected by policy adjustment in the projects included in the sub-goal, αk is the weight coefficient corresponding to the workload of the k-th project content, Qk is the quantitative value of the workload of the k-th project content, t is the adjustment number corresponding to the project policy adjustment, βι is the time-consuming weight coefficient of the ι-th adjustment step, and Cι is the standard time-consuming of the ι-th adjustment step; The interference factor is the material characteristics, and the index information Tgy is expressed by the following formula: Among them, S is the influence coefficient affected by materials, K is the degree coefficient corresponding to the material characteristics, R is the information of substitutable materials, Tnew is the time period for finding a new supply source, v is the number of factors of the reference factors that affect the time of obtaining a new supply source, γu is the influence weight coefficient of the u-th reference factor, and ΔTu is the time increase caused by the u-th reference factor.

4. The method according to claim 1, characterized in that Establishing an objective function according to the indicator information and the association relationship of the sub-goal includes: Determine the progress delay duration of the sub-goal according to the indicator information of the sub-goal; the progress delay duration is used to describe the duration delay information of the sub-goal caused by the influence of interference factors; Determine the relationship influence weights between the sub-goals according to the association relationship; Establishing the objective function based on the progress delay duration, the association relationship and the relationship impact weight; Accordingly, the objective function is expressed by the following formula: Among them, αi is the importance coefficient of the ith sub-goal, Δti is the duration of progress delay after the ith sub-goal is affected by interference factors, wij is the relationship influence weight, the relationship between each sub-goal represented by the adjacency matrix Aij, Δtj is the duration of progress delay after the jth sub-goal is affected by interference factors, λik is the influence coefficient of the kth resource of the ith sub-goal, and Δrik is the change in demand for the kth resource caused by the ith sub-goal being affected by interference factors.

5. The method according to claim 4, characterized in that The objective function is constrained by preset constraints; the preset constraints include a first constraint, a second constraint and a third constraint; the first constraint is used to describe the constraint on the duration of progress delay, the second constraint is used to describe the constraint on human resource requirements, and the third constraint is used to describe the constraint on material resources.

6. The method according to claim 1, characterized in that The resource changes include changes in human resources, material resources and financial resources.

7. The method according to claim 6, characterized in that Determining a resource allocation scheme for the sub-goal according to the resource change amount includes: Obtain the number of idle human resources, the inventory of material resources and the capital cost of financial resources in different construction areas; The resource allocation plan for the sub-goal is determined based on the idle human resources, the inventory quantity of material resources, the capital cost of financial resources, the change in human resources, the change in material resources and the change in financial resources.

8. A planning device for a power grid construction project, characterized in that: The device comprises: A division module is used to determine the overall goal of the power grid construction project, divide the overall goal into multiple sub-goals according to preset division rules, and determine the arrangement order and correlation relationship between the sub-goals; An indicator information determination module is used to obtain interference factors that affect the power grid construction project, and determine the indicator information of each sub-goal progress according to the interference factors; the indicator information is used to describe the delay time of the interference factors on the sub-goal progress; A time schedule information determination module, used to establish an objective function according to the indicator information and the association relationship of the sub-goals, and determine the time schedule information of each sub-goal based on the objective function; the objective function aims to minimize the total construction period delay of the overall goal of the power grid construction project; The resource allocation scheme determination module is used to determine the resource change required by the sub-goal according to the time progress information of each sub-goal, and determine the resource allocation scheme of the sub-goal according to the resource change.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the planning method for a power grid construction project according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the planning method for a power grid construction project according to any one of claims 1 to 7 when executed.

Images