CN105184471A - Method and device for online monitoring of project construction period - Google Patents

Abstract

The invention discloses a project construction period online monitoring method and device for monitoring the construction period of a grid infrastructure project. The method selects a plurality of benchmark projects related to the voltage level and engineering type of the project to be monitored from the project database, and determines the construction period of each benchmark project. Furthermore, based on the construction period of the benchmark project and the number of projects of the benchmark project, the probability density curve of the construction period of the project based on the voltage level and project type is constructed, and the reasonable construction period of the project to be monitored is determined according to the probability density curve, to treat Monitoring items are monitored.

Description

A method and device for online monitoring of project duration

technical field

The application relates to the field of project management, and more specifically, relates to a method and device for online monitoring of project duration.

Background technique

The existing online monitoring system solutions for enterprise operations at home and abroad are usually implemented based on the business process monitoring platform (BusinessActivityMonitor), business process management platform (BusinessProcessManagement) and data quality management tool (DataQualityCube), providing enterprise operation analysis, online supervision and other functions, to achieve Monitor, analyze and inspect the company's business activities and core business resource activities, carry out operational analysis on the company's comprehensive performance, development capabilities, competitiveness, risk control, etc., and warn and coordinate on changes and problems in the company's operation and management solve.

Enterprises can develop corresponding online monitoring systems according to their own operating characteristics. However, there is currently no monitoring method or system that can monitor the project duration of the grid infrastructure project.

Contents of the invention

In view of this, the present invention provides an online project duration monitoring method and device, so as to realize the monitoring of the project duration of the grid infrastructure project.

To achieve the above object, the present invention provides the following technical solutions:

A method for online monitoring of project duration, comprising:

Obtain the voltage level and project type of the project to be monitored;

Screen a plurality of benchmark projects with the same voltage level and project type as the project to be monitored from the project database, and determine the construction period of each benchmark project;

Based on the construction period of each benchmark project and the number of benchmark projects, construct the probability density curve of the construction period;

Determine the reasonable construction period of the project to be monitored according to the construction period corresponding to the two points with the largest growth rate of the probability change rate on the probability density curve;

Use the reasonable construction period of the project to be monitored to monitor the actual construction period of the project to be monitored.

Preferably, the determination of the construction period of each benchmark project includes:

Obtain the actual start-up report and actual production report of all projects;

Matching and merging the actual start-up report and the actual commissioning report according to the project codes of each benchmark project to generate a first data list;

Eliminate invalid data in the first data list according to preset data processing rules;

The construction period of each benchmark project is calculated according to the actual start date and the actual commissioning date of each benchmark project in the first data list.

Preferably, the construction period of each benchmark project and the number of benchmark projects are used to construct the probability density curve of the construction period, including:

Taking the construction period as the abscissa, and the number of items of the benchmark project as the ordinate, determine a plurality of coordinate points;

A kernel density function is used to fit the plurality of coordinate points to construct a probability density curve of the construction period.

Preferably, the kernel density function is:

${\stackrel{<span\; class="notranslate">\; ^</span>}{\mathrm{<span\; class="notranslate">\; f</span>}}}_{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; no</span>}\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; ;</span>$

in, is the Gaussian kernel function, and h is the optimal window width.

Preferably, the reasonable construction period of the project to be monitored is determined according to the construction period corresponding to the two points with the largest growth rate of the probability change rate on the probability density curve, including:

Using a Gaussian function to determine the probability density function expression of the probability density curve;

Performing third-order derivation on the probability density function expression, and solving the first point and the second point where the third-order derivative of the probability density expression is zero, wherein the construction period corresponding to the first point is the first construction period The construction period corresponding to the second point in the construction period is the second construction period, and the second construction period is greater than the first construction period;

The scope of the construction period that is greater than or equal to the first construction period and less than or equal to the second construction period is taken as the reasonable construction period of the project to be monitored.

Preferably, when the project to be monitored is put into production within the monitoring period, the actual construction period of the project to be monitored is monitored using a reasonable construction period of the project to be monitored, including:

If the actual construction period of the project to be monitored is longer than the second construction period, then it is determined that the project to be monitored is an abnormal project with a long construction period;

If the actual construction period of the project to be monitored is shorter than the first construction period, then it is determined that the project to be monitored is an abnormal project with a short construction period.

Preferably, when the project to be monitored is not put into operation within the monitoring period, the actual construction period of the project to be monitored is monitored by using the reasonable construction period of the project to be monitored, including:

If the sum of the actual construction period of the item to be monitored and the preset time period is greater than the second construction period, it is determined that the item to be monitored is an early warning item for an excessive construction period.

An online monitoring device for project duration, comprising:

The information collection unit is used to obtain the voltage level and project type of the project to be monitored;

The screening unit is used to screen a plurality of benchmark projects with the same voltage level and project type as the project to be monitored from the project database, and determine the construction period of each benchmark project;

The probability density curve construction unit is used to construct the probability density curve of the construction period based on the construction period of each benchmark project and the number of benchmark projects;

A reasonable construction period determination unit is used to determine the reasonable construction period of the project to be monitored according to the construction period corresponding to the two points with the largest growth rate of the probability change rate on the probability density curve;

The monitoring unit is used to monitor the actual construction period of the project to be monitored using the reasonable construction period of the project to be monitored.

Preferably, the screening unit includes: a sub-unit for determining a plurality of benchmark projects having the same voltage level and project type as the project to be monitored from the project database, and determining a construction period for determining the construction period of each benchmark project subunit;

Wherein, the construction period determination subunit includes:

The data acquisition sub-unit is used to obtain the actual start-up report and actual production report of all projects;

A data fusion unit, configured to match and fuse the actual start-up report and the actual commissioning report according to the project codes of each benchmark project, to generate a first data list;

A data processing subunit, configured to eliminate invalid data in the first data list according to preset data processing rules;

The calculation subunit is configured to calculate the construction period of each benchmark project according to the actual start date and actual commissioning date of each benchmark project in the first data list.

Preferably, the probability density curve construction unit includes:

The coordinate system establishes a subunit, which is used to determine a plurality of coordinate points with the construction period as the abscissa and the number of items of the benchmark project as the ordinate;

The linear fitting unit is configured to use a kernel density function to fit the plurality of coordinate points to construct a probability density curve of the construction period.

It can be seen from the above technical solutions that the present invention discloses a method and device for online monitoring of project construction period, so as to monitor the construction period of power grid infrastructure projects. The method selects a plurality of benchmark projects related to the voltage level and engineering type of the project to be monitored from the project database, and determines the construction period of each benchmark project. Furthermore, based on the construction period of the benchmark project and the number of projects of the benchmark project, the probability density curve of the construction period of the project based on the voltage level and project type is constructed, and the reasonable construction period of the project to be monitored is determined according to the probability density curve, to treat Monitoring items are monitored.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present application, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

Fig. 1 shows a schematic flow chart of a project duration online monitoring method disclosed in an embodiment of the present invention;

Fig. 2 shows a schematic flow chart of a project data processing method disclosed in another embodiment of the present invention;

Fig. 3 shows a schematic structural diagram of a project duration online monitoring device disclosed in another embodiment of the present invention;

Fig. 4 shows a schematic structural diagram of a screening unit of an online project duration monitoring device disclosed in another embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

Referring to FIG. 1 , it shows a schematic flowchart of a project duration online monitoring method disclosed by an embodiment of the present invention.

As can be seen from Figure 1, the method includes:

S101: Obtain the voltage level and project type of the project to be monitored.

The types of projects mentioned in the grid infrastructure projects include power transformation projects, line projects, power transmission and transformation projects, etc., and the voltage levels of different projects may also be different. Such as: 220kV new substation project.

S102: Screen multiple benchmark projects with the same voltage level and project type as the project to be monitored from the project database, and determine the construction period of each benchmark project.

It should be noted that the construction period refers to the duration of the overall construction stage of an infrastructure project from the start of construction to its commissioning.

103: Based on the construction period of each benchmark project and the number of benchmark projects, construct a probability density curve of the construction period.

The specific process is as follows:

Taking the construction period as the abscissa and the number of the benchmark items as the ordinate, determine a plurality of coordinate points. Since the construction period data of the power grid infrastructure project approximately obeys the unimodal normal distribution, the kernel density function can be used to fit the multiple coordinate points to construct the probability density curve of the construction period.

It should be noted that the probability density function is one of the non-parametric test methods used in probability theory to estimate the unknown probability density function. It can trigger the distribution characteristics of the research data from the data sample itself, and is suitable for solving the problem of probability density function curve fitting. Its kernel function expression is:

${\stackrel{<span\; class="notranslate">\; ^</span>}{\mathrm{<span\; class="notranslate">\; f</span>}}}_{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; no</span>}\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; ;</span>$

in, is the Gaussian kernel function, and h is the optimal window width.

104: Determine a reasonable construction period for the project to be monitored according to the construction period corresponding to the two points on the probability density curve with the largest growth rate of the probability change rate.

It should be noted that the reasonable construction period refers to the period stipulated by the project construction unit in order to ensure the safety and quality of project construction, improve construction efficiency and benefits, and comprehensively consider factors such as voltage level, climatic conditions, process requirements, external environment, and equipment supply. The construction period that the unit's infrastructure project should be carried out.

Optionally, after obtaining the probability density curve of the construction period through the kernel function, a large number of points are extracted on the curve, that is, arrays of continuous values and probability values (x _i , y _i ). Since the construction period data is in an approximately normal distribution form, based on the array ( _xi , y _i ), the Gaussian function is used The expression of the probability density function can be estimated.

On the probability density curve of the unimodal normal distribution, there are two symmetrical points, X ₁ and X ₂ , at these two points, the rate of change of the probability of the random variable X increases the most, that is, the sample falls into In the interval formed by two points, the samples falling outside the interval are events with low probability. The first construction period corresponding to point X ₁ and the second construction period corresponding to point X ₂ constitute the reasonable construction period of the project to be monitored. It should be noted that, for the convenience of description, it is defined in the following content that the first construction period is less than the second construction period, that is, the first construction period is the lower limit of the reasonable period of the project to be tested, and the second construction period is the upper limit of the reasonable duration of the project to be monitored.

The geometric meaning of the probability change rate growth rate is the second-order derivative of the probability density function, and X ₁ and X ₂ are the maximum points of the second-order derivative. The maximum point of the second order derivative is required, and its slope is zero. That is, solving the point where the third order derivative of the probability density function is zero can obtain the endpoint of the optimal duration interval.

105: Use the reasonable construction period of the project to be monitored to monitor the actual construction period of the project to be monitored.

Wherein, when the project to be monitored has been put into operation during the monitoring period, if the actual construction period (actual commissioning time-actual start time) of the project to be monitored is greater than the second construction period, then it is determined that the project to be monitored is overdue. Long transaction items.

If the actual construction period (actual commissioning time-actual start time) of the item to be monitored is less than the first construction period, then it is determined that the item to be monitored is an abnormal project with a short construction period.

When the project to be monitored is not put into production during the monitoring period, if the sum of the actual construction period of the project to be monitored and the preset time period (current date-actual start time+preset time period) is greater than the second construction period, Then, it is determined that the project to be monitored is an early warning project with a long construction period, so as to realize early warning of project changes.

It can be seen from the above technical solution that the present invention discloses a project construction period online monitoring method to monitor the construction period of the grid infrastructure project. The method selects a plurality of benchmark projects related to the voltage level and engineering type of the project to be monitored from the project database, and determines the construction period of each benchmark project. Furthermore, based on the construction period of the benchmark project and the number of projects of the benchmark project, the probability density curve of the construction period of the project based on the voltage level and project type is constructed, and the reasonable construction period of the project to be monitored is determined according to the probability density curve, to treat Monitoring items are monitored.

It should be noted that, in the actual execution process, the project data of the project are usually stored in different data lists, such as the actual start list and the actual production list. However, the data types and data contents contained in the actual start-up list and the actual production list are different for processing, so in actual processing, it is necessary to process and integrate the project data in the above list.

Referring to FIG. 2 , a schematic flowchart of a project data processing method disclosed in another embodiment of the present invention is shown.

As can be seen from Figure 2, the method includes in this embodiment:

S201: Obtain the actual start-up report and actual production report of all projects.

S202: Matching and merging the actual start-up report and the actual commissioning report according to the project codes of each benchmark project to generate a first data list.

For the project data of the benchmark project with the same project code (that is, the same project) in the actual start-up report and the actual production report, the project name, voltage level, project type, affiliated unit, actual start time, and actual production time of the project are obtained. and other information.

S203: Eliminate invalid data in the first data list according to a preset data processing rule.

Optionally, data can be cleared and integrated according to the following process.

1) Use the project code & year, month & unit name as the primary key to eliminate duplicate row records

2) Delete redundant fields such as planned start time, planned production time, feasibility study approval time, and approval document number.

3) According to the preset specifications, adjust the project name, affiliated unit, voltage level and other information.

4) Screen and process data quality according to the following rules

S204: Calculate the construction period of each benchmark project according to the actual start date and actual production date of each benchmark project in the first data list.

Referring to FIG. 3 , it shows a schematic structural diagram of an online project duration monitoring device disclosed in another embodiment of the present invention.

It can be seen from FIG. 3 that the device includes: an information collection unit 1 , a screening unit 2 , a probability density curve construction unit 3 , a reasonable construction period determination unit 4 and a monitoring unit 5 .

Wherein, the information collection unit is used to obtain the voltage level and project type of the project to be monitored. The screening unit screens a plurality of benchmark projects with the same voltage level and project type as the project to be monitored from the project database according to the voltage level and project type of the project to be monitored, and determines the construction period of each benchmark project.

The probability density curve construction unit constructs the probability density curve of the construction period based on the construction period of each benchmark project and the number of benchmark projects.

Furthermore, the reasonable construction period determination unit determines the reasonable construction period of the project to be monitored according to the construction period corresponding to the two points on the probability density curve with the largest growth rate of the probability change rate.

The monitoring unit uses the reasonable construction period of the project to be monitored to monitor the actual construction period of the project to be monitored.

It should be noted that the specific execution process of each execution unit in the above device and the execution process items in the method embodiment will not be repeated here.

It should be noted that in practical applications, the project data needs to be processed because the project data is stored in different data lists, such as the actual start list and the actual production list.

Referring to FIG. 4 , it shows a schematic structural diagram of a screening unit of an online project duration monitoring device disclosed in another embodiment of the present invention.

Different from the previous device embodiment, the screening unit of the device in this embodiment specifically includes: a benchmark project determination subunit 21 and a construction period determination subunit 22 .

Wherein, the reference project determination subunit is used to screen a plurality of reference projects having the same voltage level and project type as the project to be monitored from the project database. The construction period determination subunit is used to determine the construction period of each benchmark project.

Specifically, the construction period determination subunit includes: a data acquisition subunit 221, a data fusion subunit 222, a data processing subunit 223 and a calculation subunit 224,

The data acquisition sub-unit is used to obtain the actual start-up report and actual production report of all projects.

Furthermore, the data fusion unit matches and fuses the actual start-up report and the actual commissioning report according to the project codes of each benchmark project to generate a first data list.

The data processing subunit eliminates invalid data in the first data list according to preset data processing rules. The calculation subunit calculates the construction period of each benchmark project according to the actual start date and actual commissioning date of each benchmark project in the first data list.

Optionally, in other embodiments disclosed in the present invention, the device probability density curve construction unit includes: a coordinate system establishment subunit and a linear fitting unit.

The coordinate system establishment subunit is used to determine a plurality of coordinate points with the construction period as the abscissa and the number of the reference items as the ordinate.

The linear fitting unit uses the kernel density function to fit the plurality of coordinate points to construct the probability density curve of the construction period.

Finally, it should also be noted that in this text, relational terms such as first and second etc. are only used to distinguish one entity or operation from another, and do not necessarily require or imply that these entities or operations, any such actual relationship or order exists. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other.

The above description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A project duration online monitoring method, characterized in that, comprising: Obtain the voltage level and project type of the project to be monitored; Screen a plurality of benchmark projects with the same voltage level and project type as the project to be monitored from the project database, and determine the construction period of each benchmark project; Based on the construction period of each benchmark project and the number of benchmark projects, construct the probability density curve of the construction period; Determine the reasonable construction period of the project to be monitored according to the construction period corresponding to the two points with the largest growth rate of the probability change rate on the probability density curve; Use the reasonable construction period of the project to be monitored to monitor the actual construction period of the project to be monitored. 2. The method according to claim 1, wherein said determining the construction period of each benchmark project comprises: Obtain the actual start-up report and actual production report of all projects; Matching and merging the actual start-up report and the actual commissioning report according to the project codes of each benchmark project to generate a first data list; Eliminate invalid data in the first data list according to preset data processing rules; The construction period of each benchmark project is calculated according to the actual start date and the actual commissioning date of each benchmark project in the first data list. 3. The method according to claim 1, characterized in that, the construction period based on each benchmark project and the number of benchmark projects, constructing the probability density curve of the construction period, comprising: Taking the construction period as the abscissa, and the number of items of the benchmark project as the ordinate, determine a plurality of coordinate points; A kernel density function is used to fit the plurality of coordinate points to construct a probability density curve of the construction period. 4. method according to claim 3, is characterized in that, described kernel density function is: ${\stackrel{<span\; class="notranslate">\; ^</span>}{\mathrm{<span\; class="notranslate">\; f</span>}}}_{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; =</span>\underset{\mathrm{<span\; class="notranslate">\; i</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; 1</span>}}{\overset{\mathrm{<span\; class="notranslate">\; no</span>}}{<span\; class="notranslate">\; \&Sigma;</span>}}\mathrm{<span\; class="notranslate">\; K</span>}<span\; class="notranslate">\; (</span>\frac{\mathrm{<span\; class="notranslate">\; x</span>}<span\; class="notranslate">\; -</span>{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; i</span>}}}{\mathrm{<span\; class="notranslate">\; h</span>}}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; /</span>\mathrm{<span\; class="notranslate">\; no</span>}\mathrm{<span\; class="notranslate">\; h</span>}<span\; class="notranslate">\; ;</span>$ in, is the Gaussian kernel function, and h is the optimal window width. 5. The method according to claim 1, characterized in that, according to the construction period corresponding to the two points with the largest growth rate of the probability change rate on the probability density curve, determining the reasonable construction period of the project to be monitored includes: Using a Gaussian function to determine the probability density function expression of the probability density curve; Performing third-order derivation on the probability density function expression, and solving the first point and the second point where the third-order derivative of the probability density expression is zero, wherein the construction period corresponding to the first point is the first construction period The construction period corresponding to the second point in the construction period is the second construction period, and the second construction period is greater than the first construction period; The scope of the construction period that is greater than or equal to the first construction period and less than or equal to the second construction period is taken as the reasonable construction period of the project to be monitored. 6. The method according to claim 5, characterized in that, when the project to be monitored is put into production within the monitoring period, the actual construction period of the project to be monitored using the reasonable construction period of the project to be monitored is monitored, including: If the actual construction period of the project to be monitored is longer than the second construction period, then it is determined that the project to be monitored is an abnormal project with a long construction period; If the actual construction period of the project to be monitored is shorter than the first construction period, then it is determined that the project to be monitored is an abnormal project with a short construction period. 7. The method according to claim 5, characterized in that, when the project to be monitored is not put into operation within the monitoring period, said utilizing the reasonable construction period of the project to be monitored to monitor the actual construction period of the project to be monitored includes: If the sum of the actual construction period of the item to be monitored and the preset time period is greater than the second construction period, it is determined that the item to be monitored is an early warning item for an excessive construction period. 8. An online monitoring device for project duration, characterized in that it comprises: The information collection unit is used to obtain the voltage level and project type of the project to be monitored; The screening unit is used to screen a plurality of benchmark projects with the same voltage level and project type as the project to be monitored from the project database, and determine the construction period of each benchmark project; The probability density curve construction unit is used to construct the probability density curve of the construction period based on the construction period of each benchmark project and the number of benchmark projects; A reasonable construction period determination unit is used to determine the reasonable construction period of the project to be monitored according to the construction period corresponding to the two points with the largest growth rate of the probability change rate on the probability density curve; The monitoring unit is used to monitor the actual construction period of the project to be monitored using the reasonable construction period of the project to be monitored. 9. The device according to claim 8, wherein the screening unit comprises: a subunit for determining a plurality of benchmark items having the same voltage level and project type as the item to be monitored from the item database And determine the construction period determination subunit of the construction period of each benchmark project; Wherein, the construction period determination subunit includes: The data acquisition sub-unit is used to obtain the actual start-up report and actual production report of all projects; A data fusion unit, configured to match and fuse the actual start-up report and the actual commissioning report according to the project codes of each benchmark project, to generate a first data list; A data processing subunit, configured to eliminate invalid data in the first data list according to preset data processing rules; The calculation subunit is configured to calculate the construction period of each benchmark project according to the actual start date and actual commissioning date of each benchmark project in the first data list. 10. The device according to claim 8, wherein the probability density curve construction unit comprises: The coordinate system establishes a subunit, which is used to determine a plurality of coordinate points with the construction period as the abscissa and the number of items of the benchmark project as the ordinate; The linear fitting unit is configured to use a kernel density function to fit the plurality of coordinate points to construct a probability density curve of the construction period.