CN114240217A - Power grid engineering project management risk pre-control method - Google Patents
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Abstract
The invention discloses a power grid engineering project management risk pre-control method, which comprises the following steps: step one, a risk database is established, risk data are crawled from a plurality of correlation management systems, a topological relation of cross-system risk data is established, and the topological relation is stored in the risk database; secondly, constructing a risk association model based on a risk database; developing a risk pre-control platform, monitoring actual risk data in a plurality of related management systems in real time, determining a risk early warning grade and generating an early warning notice based on a risk association model; and step four, based on the workflow technology, circulating an early warning notice, supervising and urging responsibility departments to correct and feed back the correction condition. According to the invention, a digital technology is organically integrated into the management risk of the power grid engineering project, the risk of each link of the power grid engineering project is monitored in real time by constructing a risk association model and a risk pre-control platform, and early warning and supervision are timely carried out to provide decision basis for the enterprise to standardize daily management, investigate hidden danger and loophole, prevent operation risk and the like.
Description
Technical Field
The invention relates to the technical field of project risk management, in particular to a power grid engineering project management risk pre-control method.
Background
In recent years, with the rapid development of emerging services such as smart power grids, new energy access, electric vehicle charging and battery replacement and the like, power grid enterprises develop in a diversification mode day by day, the construction pace of power grid enterprise engineering projects is gradually increased, and due to the characteristics of large capital investment, multiple process links, strong professional skills and the like, higher requirements are provided for professional literacy, experience reading and other aspects of supervisors, and the traditional manual inspection mode is often difficult to meet the requirements.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a power grid engineering project management risk pre-control method, which organically integrates a digital technology into power grid engineering project management risks, monitors the risks of each link of a power grid engineering project in real time by constructing a risk association model and a risk pre-control platform, and gives decision basis for the work of standardizing daily management of enterprises, troubleshooting hidden danger and loopholes, preventing operation risks and the like by early warning and supervising and correcting in time.
The technical scheme of the invention is as follows:
a power grid engineering project management risk pre-control method comprises the following steps:
step one, a risk database is established, risk data are crawled from a plurality of correlation management systems, a topological relation of cross-system risk data is established, and the topological relation is stored in the risk database;
secondly, constructing a risk association model based on a risk database;
developing a risk pre-control platform, monitoring actual risk data in the plurality of relevant management systems in real time, determining a risk early warning grade and generating an early warning notice based on a risk association model;
and step four, based on the workflow technology, circulating an early warning notice, supervising and urging responsibility departments to correct and feed back the correction condition.
Preferably, the related management system comprises a national network manpower resource system, a legal management system and a capital project reserve platform.
Preferably, the second step includes:
cleaning a risk database according to a topological relation of the cross-system risk data;
screening out a plurality of risk points and associated risk categories through the comparative analysis of the risk points and the risk sources;
and respectively constructing a risk early warning model of each risk category.
Preferably, the risk early warning model is obtained by fitting risk indexes of a plurality of risk points with the risk early warning value by using Excel and/or SPSS and/or sigmlot software.
Preferably, the fitting process comprises:
the method comprises the steps of crawling risk event data under a single risk category from a risk database;
respectively evaluating the risk indexes of a plurality of risk points associated with the risk categories;
evaluating a risk early warning value according to the actual situation of the risk event;
and establishing an access table of the risk indexes and the risk early warning values, performing data fitting to obtain a risk early warning model, and traversing a plurality of risk types.
Preferably, the risk precontrol platform comprises:
a user work interface implemented by a browser;
a logical front end that obtains actual risk data in a plurality of relevant management systems in real time;
and the server side is used for studying and judging the actual risk data based on the risk association model, determining the early warning grade, generating an early warning notice and executing the circulation of the early warning notice.
Preferably, the early warning level includes:
inputting the actual risk coefficient into a risk correlation model, and calculating a risk early warning value;
determining an early warning grade according to a preset risk grade rating table;
if the risk early warning value is larger than or equal to the first threshold and smaller than the second threshold, the early warning level is two levels;
preferably, the risk ranking table comprises risk points, belonging risk categories, a first threshold and a second threshold.
Preferably, the second threshold is a dynamic threshold;
the second threshold is calculated by the formula:
wherein S is2Is a second threshold value, n is the number of risk points, KiThe early warning value of the ith risk point.
Preferably, the step four includes:
creating a plurality of workflow nodes and determining the time sequence relation of the workflow nodes;
an operator for self-defining a plurality of workflow node authorities;
and pushing early warning noticing orders to operators node by node to supervise responsibility departments to correct and feed back the correction condition.
The invention has the beneficial effects that:
according to the power grid engineering project management risk pre-control method provided by the invention, a digital technology is organically integrated into a power grid engineering project management risk pre-control system, risks of all links of a power grid engineering project are monitored in real time by constructing a risk association model and a risk pre-control platform, early warning and urging for rectification are timely carried out, and a decision basis is provided for the enterprise to standardize daily management, investigate hidden danger and loophole, prevent operation risk and the like.
Drawings
Fig. 1 is a flowchart of a power grid engineering project management risk pre-control method according to an embodiment of the present invention.
Fig. 2 is a flow chart of power grid project acceptance and payment early warning provided by the embodiment of the invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "in" and the like refer to directions or positional relationships based on the directions or positional relationships illustrated in the drawings, which are for convenience of description only, and do not indicate or imply that a device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; may be a mechanical connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
As shown in fig. 1, a power grid engineering project management risk pre-control method includes:
s110, a risk database is created, risk data are crawled from a plurality of related management systems, topological relations of the cross-system risk data are built, and the topological relations are stored in the risk database.
Specifically, the related management system comprises a national network manpower resource system, a legal management system and a capital construction project storage platform.
And S120, constructing a risk association model based on the risk database.
Firstly, cleaning a risk database according to a topological relation of cross-system risk data;
then, screening out a plurality of risk points and associated risk categories through the comparative analysis of the risk points and the risk sources;
and finally, respectively constructing a risk early warning model of each risk category.
In a specific embodiment, a risk early warning model is built based on data attributes, the actual conditions such as the data integrity of the existing information system are integrated, four risk categories of tender plan declaration, engineering settlement, contract performance and project payment and 16 associated risk points are selected for investigation, 8 risk points are screened out for modeling, and the specific modeling data attributes and sources are shown in table 1.
Table 1 engineering project field risk precontrol mechanism service list
Specifically, the risk early warning model is obtained by fitting risk indexes of a plurality of risk points and risk early warning values by using Excel and/or SPSS and/or sigmlot software.
In a preferred embodiment, the fitting process comprises:
the method comprises the steps of crawling risk event data under a single risk category from a risk database;
respectively evaluating the risk indexes of a plurality of risk points associated with the risk categories;
evaluating a risk early warning value according to the actual situation of the risk event;
and establishing an access table of the risk indexes and the risk early warning values, performing data fitting to obtain a risk early warning model, and traversing a plurality of risk types.
And S130, developing a risk pre-control platform, monitoring actual risk data in the plurality of related management systems in real time, determining a risk early warning grade and generating an early warning notice based on a risk association model.
Specifically, the risk precontrol platform comprises:
a user work interface implemented by a browser;
a logical front end that obtains actual risk data in a plurality of relevant management systems in real time;
and the server side is used for studying and judging the actual risk data based on the risk association model, determining the early warning grade, generating an early warning notice and executing the circulation of the early warning notice.
Specifically, the early warning level includes:
inputting the actual risk coefficient into a risk correlation model, and calculating a risk early warning value;
determining an early warning grade according to a preset risk grade rating table;
if the risk early warning value is larger than or equal to the first threshold and smaller than the second threshold, the early warning level is two levels;
preferably, the risk ranking table comprises risk points, belonging risk categories, a first threshold and a second threshold.
In a preferred real-time manner, the second threshold is a dynamic threshold;
the second threshold is calculated by the formula:
wherein S is2Is a second threshold value, n is the number of risk points, KiThe early warning value of the ith risk point.
And S140, circulating an early warning notice based on a workflow technology, supervising and urging responsibility departments to correct and feed back the correction condition.
Creating a plurality of workflow nodes and determining the time sequence relation of the workflow nodes;
an operator for self-defining a plurality of workflow node authorities;
and pushing early warning noticing orders to operators node by node to supervise responsibility departments to correct and feed back the correction condition.
In practical application, because risk types are different, responsibility departments related to the risk types are different, through a workflow technology and a sound early warning mechanism, the responsibility departments acquire early warning information through a working interface of a browser, a few part of practical logics of data analysis and early warning are realized at a logic front end, source data are updated every day in a T +1 mode through a data acquisition module, main business logics are realized at a server end to form a three-layer structure, then comprehensive analysis and judgment on risk data are realized, early warning is sent out in a targeted mode, corresponding preventive rectification measures are made, and project management risks are practically reduced, specifically, as shown in fig. 2, the early warning process of project acceptance and payment is realized.
When a power grid engineering project is paid, the ERP system can generate a payment work order, whether the payment is planned or scheduled is judged according to the payment property, a risk early warning process is triggered, project payment data is captured, a risk early warning model outputs a risk early warning level and generates an early warning notice order, the early warning notice order is circulated according to a preset workflow, responsible persons/departments related to the project payment risk comprise a project principal, a branch management leader, a financial principal, a general accountant, a general manager and the like, the early warning notice order is circulated step by step, the responsible persons/departments are supervised to be rectified, current early warning event information is filed, and when the risk early warning level is higher, manual intervention can be carried out, so that comprehensive pre-control on the project payment risk is realized, and the project management risk is reduced.
According to the technical scheme provided by the embodiment of the invention, a digital technology is organically integrated into a power grid engineering project management risk pre-control system, the risk of each link of a power grid engineering project is monitored in real time by constructing a risk association model and a risk pre-control platform, early warning and supervision are timely performed, and decision basis is provided for the enterprise to standardize daily management, investigate hidden danger and loophole, prevent operation risk and the like
The above descriptions are only examples of the present invention, and common general knowledge of known specific structures, characteristics, and the like in the schemes is not described herein too much, and it is easily understood by those skilled in the art that the scope of the present invention is obviously not limited to these specific embodiments. Without departing from the invention, several changes and modifications can be made, which should also be regarded as the protection scope of the invention, and these will not affect the effect of the invention and the practicality of the patent.
Claims (10)
1. A power grid engineering project management risk pre-control method is characterized by comprising the following steps:
the method comprises the steps of firstly, creating a risk database, crawling risk data from a plurality of correlation management systems, building a topological relation of cross-system risk data, and storing the topological relation into the risk database;
secondly, constructing a risk association model based on the risk database;
developing a risk pre-control platform, monitoring actual risk data in the plurality of relevant management systems in real time, determining a risk early warning grade and generating an early warning notice based on the risk association model;
and step four, circulating the early warning notice sheet based on a workflow technology, supervising and urging responsibility departments to correct and feed back the correction condition.
2. The power grid engineering project management risk pre-control method according to claim 1, wherein the related management systems comprise a state grid human resource system, a legal management system and a capital project reserve platform.
3. The power grid engineering project management risk pre-control method according to claim 2, wherein the second step comprises:
cleaning the risk database according to the topological relation of the cross-system risk data;
screening out a plurality of risk points and associated risk categories through the comparative analysis of the risk points and the risk sources;
and respectively constructing a risk early warning model of each risk category.
4. The power grid engineering project management risk pre-control method as claimed in claim 3, wherein the risk early warning model is obtained by fitting risk indexes and risk early warning values of a plurality of risk points by using Excel and/or SPSS and/or Sigmplot software.
5. The power grid engineering project management risk precontrol method of claim 4, wherein the fitting process comprises:
crawling risk event data under a single risk category from the risk database;
evaluating risk indexes of a plurality of the risk points associated with the risk categories respectively;
evaluating a risk early warning value according to the actual condition of the risk event;
and establishing an access table of the risk indexes and the risk early warning values, performing data fitting to obtain a risk early warning model, and traversing the risk types.
6. The power grid engineering project management risk precontrol method as claimed in claim 5, wherein the risk precontrol platform comprises:
a user work interface implemented by a browser;
a logical front end that obtains actual risk data in the plurality of relevant management systems in real time;
and the server side is used for studying and judging the actual risk data based on the risk association model, determining an early warning grade, generating an early warning notice and executing the circulation of the early warning notice.
7. The power grid engineering project management risk pre-control method of claim 6, wherein the early warning level comprises:
inputting the actual risk coefficient into the risk correlation model, and calculating a risk early warning value;
determining an early warning grade according to a preset risk grade rating table;
if the risk early warning value is larger than or equal to a first threshold value and smaller than a second threshold value, the early warning level is two levels;
and if the risk early warning value is greater than or equal to a second threshold value, the early warning grade is first grade.
8. The grid engineering project management risk precontrol method as claimed in claim 7, wherein the risk ranking table comprises risk points, belonging risk categories, first thresholds and second thresholds.
9. The grid engineering project management risk precontrol method of claim 8, wherein the second threshold is a dynamic threshold;
the calculation formula of the second threshold is as follows:
wherein S is2Is a second threshold value, n is the number of risk points, KiThe early warning value of the ith risk point.
10. The power grid engineering project management risk precontrol method as recited in claim 9, wherein the fourth step comprises:
creating a plurality of workflow nodes and determining the time sequence relation of the workflow nodes;
an operator for customizing the plurality of workflow node permissions;
and pushing the early warning notice to the operator node by node to supervise responsibility departments to correct and feed back the correction condition.
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