CN111626553A - Project risk management method and device - Google Patents
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Abstract
The application relates to a project risk management method, in the application, flow link data of a project to be managed and project data corresponding to each flow link are obtained; and obtaining legal risk points corresponding to each flow link of the project to be managed based on a pre-trained legal risk recognition model according to the project data corresponding to each flow link. In the application, the legal risk points corresponding to the flow links of the project to be managed are calculated through the legal risk identification model, so that the consumption of manpower and material resources is reduced, automatic identification is carried out by using the legal risk identification model, and the calculation speed is undoubtedly improved compared with manual analysis. And displaying the flow links of the project to be managed and the legal risk points corresponding to the flow links of the project to be managed on the access layer, so that a user can visually know the legal risk points of the project to be managed, and the legal risk management and control can be better carried out.
Description
Technical Field
The application relates to the technical field of big data, in particular to a project risk management method and device.
Background
The electric power capital construction project has more problem and risk in the construction process, and then influences efficiency and quality that the project was implemented, how in time monitor discernment risk, and the law risk is excavated to quick accurate, and suggestion law risk is the problem that the legal work management department of power supply office needs to solve. The enterprise management department is used as a legal work management department of a power supply bureau, with the continuous expansion of business scale and the continuous increase of business volume, the legal management work gradually realizes the deep transition from point to surface, and the legal support service covers business decision and business development in a plurality of fields such as safety production, marketing, planning and construction, material purchasing, labor employment (human resources) and the like. In the prior art, the timeliness of legal risk management is lagged, manual recording and manual analysis are needed in data application, a very passive management mode is adopted, and meanwhile, large manpower and material resources are consumed on the management cost.
Disclosure of Invention
To overcome, at least to some extent, the problems in the related art, the present application provides a project risk management method and apparatus.
The scheme of the application is as follows:
according to a first aspect of embodiments of the present application, a method for managing project risks is provided, including:
acquiring process link data of a project to be managed and project data corresponding to each process link;
according to the project data corresponding to each flow link, obtaining legal risk points corresponding to each flow link of the project to be managed based on a pre-trained legal risk identification model;
and displaying the flow links of the project to be managed and the legal risk points corresponding to the flow links of the project to be managed on an access layer.
Preferably, in an implementation manner of the present application, the method further includes:
acquiring historical data of all infrastructure projects, wherein the historical data of all infrastructure projects comprises: historical process links of all the capital construction projects and historical project data corresponding to each process link respectively;
acquiring legal risk points corresponding to each flow link of the historical project;
and training the legal risk recognition model according to the historical project data and legal risk points corresponding to the process links of the historical project.
Preferably, in an implementation manner of the present application, the method further includes:
clustering the legal risk points;
setting risk grade parameters, and classifying the risk grade of the legal risk points according to the risk grade parameters.
Preferably, in an implementation manner of the present application, the method further includes:
training the legal risk recognition model according to the corresponding relation between the legal risk points and the risk grade classification;
according to the project data corresponding to each flow link, obtaining risk grade classification of legal risk points corresponding to each flow link of the project to be managed based on a pre-trained legal risk identification model;
and displaying the risk level classification of the legal risk point on the access layer.
Preferably, in an implementation manner of the present application, the method further includes:
acquiring the area of a project to be managed;
obtaining all legal risk points corresponding to the project to be managed based on a pre-trained legal risk identification model according to the project data corresponding to each flow link;
counting the number of items to be managed in each area and the number of legal risk points corresponding to all the items to be managed in each area;
and displaying the quantity of the items to be managed in each area and the quantity of legal risk points corresponding to all the items to be managed in each area on the access layer.
Preferably, in an implementation manner of the present application, the method further includes:
acquiring a solution corresponding to the legal risk point from a pre-trained database;
and sending the legal risk points corresponding to the process links of the project to be managed, the risk level classification and the solution corresponding to the legal risk points to a manager terminal.
Preferably, in an implementation manner of the present application, the method further includes:
monitoring whether a legal risk occurs at a legal risk point in the construction process of a project to be managed;
and if the legal risk occurs at the legal risk point in the construction process of the project to be managed, using the project data respectively corresponding to the legal risk point with the legal risk and each process link of the project to be managed as historical data for training the legal risk identification model.
Preferably, in an implementation manner of the present application, the method further includes:
acquiring credit data and project deduction data of the project supplier to be managed;
and displaying credit worthiness data and project deduction data of the project supplier to be managed on the access layer.
Preferably, in an implementation manner of the present application, the method further includes:
performing risk treatment condition statistics, specifically including:
counting the number of risk identifications, counting the number of risk reviews, counting the number of risk responses and evaluating the risk responses;
and displaying the risk treatment condition statistics at the access layer.
According to a second aspect of embodiments of the present application, there is provided a management apparatus for project risk, including:
the processor is connected with the memory through a communication bus;
the processor is used for calling and executing the program stored in the memory;
the memory for storing a program for at least performing the method of managing risk for a project according to any of the above.
The technical scheme provided by the application can comprise the following beneficial effects: project data are generally planned before an electric power facility construction project is implemented, and in the application, flow link data of a project to be managed and project data corresponding to each flow link are obtained; and obtaining legal risk points corresponding to each flow link of the project to be managed based on a pre-trained legal risk recognition model according to the project data corresponding to each flow link. In the application, the legal risk points corresponding to the flow links of the project to be managed are calculated through the legal risk identification model, so that the consumption of manpower and material resources is reduced, automatic identification is carried out by using the legal risk identification model, and the calculation speed is undoubtedly improved compared with manual analysis. And displaying the flow links of the project to be managed and the legal risk points corresponding to the flow links of the project to be managed on the access layer, so that a user can visually know the legal risk points of the project to be managed, and the legal risk management and control can be better carried out.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
FIG. 1 is a flow chart of a method for project risk management provided in an embodiment of the present application;
FIG. 2 is a schematic illustration of a display of an access layer in a project risk management method according to an embodiment of the present application;
FIG. 3 is a flowchart of a legal risk identification model training method for project risk management according to an embodiment of the present application;
fig. 4 is a flowchart illustrating classification of legal risk points in a project risk management method according to an embodiment of the present application;
FIG. 5 is a schematic illustration of a display of an access layer in a method for managing risk of a project according to another embodiment of the present application;
FIG. 6 is a schematic illustration of a display of an access layer in a method for managing risk of a project according to another embodiment of the present application;
fig. 7 is a block diagram of a project risk management device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Fig. 1 is a flowchart of a project risk management method according to an embodiment of the present application, and referring to fig. 1, a project risk management method includes:
s11: acquiring process link data of a project to be managed and project data corresponding to each process link;
the project to be managed can be all capital construction projects governed by a power supply bureau.
The construction process of the electric power capital construction project comprises the following steps: project early management, project implementation, project closing and the like. The construction process of the electric power capital construction project is provided with a plurality of project process links, and each project process link branch is provided with corresponding project data.
Project data for the project to be managed may be obtained from an externally integrated data platform, financial system, marketing system, OS2, external data system, etc. through the big data platform.
Taking the flow links of the project to be managed shown in fig. 2 as an example, the flow links of the project to be managed may include: the method comprises the following steps of a preliminary project preparation library, a project preliminary decision, preliminary work, an investment project storage library, a project investment decision, preliminary design examination and approval, material purchasing, construction drawing design, budget examination and approval, non-material purchasing, construction preparation, project starting, project construction, starting acceptance, commissioning and commissioning, transfer production, completion acceptance, project settlement, project closing and project post-evaluation.
S12: according to the project data corresponding to each process link, acquiring legal risk points corresponding to each process link of the project to be managed based on a pre-trained legal risk identification model;
referring to fig. 2, according to project data respectively corresponding to each process link, based on a pre-trained legal risk recognition model, early-stage work, preliminary design approval, project construction, construction drawing design, material purchasing, and legal risk points corresponding to project settlement links are displayed on an access layer, and other links do not have corresponding legal risk points and are not displayed.
S13: and displaying the flow links of the project to be managed and the legal risk points corresponding to the flow links of the project to be managed on the access layer.
The access layer may include: the system comprises a user mobile terminal APP, a user client and a meeting place large screen.
The access layer display interface is shown in fig. 2.
In the embodiment, the legal risk points corresponding to the flow links of the project to be managed are calculated through the legal risk identification model, so that the consumption of manpower and material resources is reduced, automatic identification is carried out through the legal risk identification model, and the calculation speed is undoubtedly improved compared with manual analysis. And displaying the flow links of the project to be managed and the legal risk points corresponding to the flow links of the project to be managed on the access layer, so that a user can visually know the legal risk points of the project to be managed, and the legal risk management and control can be better carried out.
The method for managing risk of a project in some embodiments, further comprising:
s21: acquiring historical data of all the infrastructure projects, wherein the historical data of all the infrastructure projects comprises: historical process links of all the capital construction projects and historical project data corresponding to each process link respectively;
historical data of all infrastructure projects managed by a power supply bureau are acquired through a data platform, a financial system, a marketing system, an OS2, an external data system and the like which are integrated from the outside through a big data platform, and the acquired historical data of all infrastructure projects are more accurate.
S22: acquiring legal risk points corresponding to each flow link of the historical project;
s23: and training a legal risk recognition model according to the historical project data and legal risk points corresponding to each flow link of the historical project.
And (4) taking the historical project data and the legal risk points corresponding to the process links of the historical project as historical data of a training model, and training the legal risk recognition model. And outputting the legal risk points corresponding to each flow link of the project by the trained legal risk identification model according to the input project data.
The method for managing risk of a project in some embodiments, further comprising:
s31: clustering the legal risk points;
the process of dividing a collection of physical or abstract objects into classes composed of similar objects is called clustering. The cluster generated by clustering is a collection of a set of data objects that are similar to objects in the same cluster and distinct from objects in other clusters.
S32: and setting risk grade parameters, and classifying the risk grade of the legal risk points according to the risk grade parameters.
And clustering the legal risk points, and classifying the risk levels according to the set risk level parameters.
The risk classes may include: high risk, medium risk, low risk.
Further, the method further comprises:
training a legal risk identification model according to the corresponding relation between the legal risk points and the risk grade classification;
according to the project data corresponding to each process link, obtaining risk grade classification of legal risk points corresponding to each process link of the project to be managed based on a pre-trained legal risk identification model;
and displaying the risk level classification of the legal risk points at the access layer.
And adding the corresponding relation between the legal risk points and the risk grade classification in the training process of the legal risk identification model. And when the project data corresponding to each process link is input into the legal risk identification model, the legal risk identification model also outputs risk grade classification of the legal risk points corresponding to each process link of the management project.
Meanwhile, the risk grade classification of the legal risk points is displayed on the access layer, so that the user can visually know the risk grade of the legal risk points.
The method for managing risk of a project in some embodiments, further comprising:
acquiring the area of a project to be managed;
obtaining all legal risk points corresponding to the project to be managed based on a pre-trained legal risk identification model according to project data corresponding to each flow link;
counting the number of items to be managed in each area and the number of legal risk points corresponding to all the items to be managed in each area;
and displaying the quantity of the items to be managed in each area and the quantity of the legal risk points corresponding to all the items to be managed in each area on the access layer.
Referring to fig. 5, a power supply administration jurisdiction usually has a plurality of regions, such as a seikuan county, a kaikuan county, a deqing county, a high key district, a temozhou district, a ding lake district, a big flourishing economic development district, a four-party city, and a guangning county. In the embodiment, all legal risk points corresponding to the items to be managed are obtained based on a pre-trained legal risk identification model according to the item data corresponding to each process link, and the number of the items to be managed in each area and the number of the legal risk points corresponding to all the items to be managed in each area are counted. And displaying the quantity of the items to be managed in each area and the quantity of the legal risk points corresponding to all the items to be managed in each area on the access layer. The user can visually know the number of the items to be managed in each area in the district and the number of legal risk points corresponding to all the items to be managed in each area, and risk management is more convenient.
The method for managing risk of a project in some embodiments, further comprising:
acquiring a solution corresponding to the legal risk point from a pre-trained database;
and sending the legal risk points corresponding to each process link of the project to be managed, the risk level classification and the solution corresponding to the legal risk points to the manager terminal.
And the database is provided with a solution aiming at each legal risk point, and the solution comprises risk point analysis and a suggested measure.
For example, the following steps are carried out:
and (3) a project process link to be managed: project construction
Legal risk points: item sub-package
And (3) risk point analysis: judging whether contract subcontracting records exist in the corresponding contractors/corresponding projects in the system, prompting investigation and verification of actual subcontracting conditions if the contract subcontracting records are in accordance with conditions, and avoiding illegal subcontracting or illegal subcontracting
The proposal measures are as follows: and (4) proposing field investigation, examining the actual subcontracting condition of the project, judging whether illegal subcontracting and illegal subcontracting conditions exist or not, and avoiding the problems of influencing the subsequent engineering progress and the engineering quality.
Legal risk points corresponding to each process link of the project to be managed, risk level classification and solution measures corresponding to the legal risk points can be sent to the manager terminal through short messages or APP notification and the like.
The method for managing risk of a project in some embodiments, further comprising:
monitoring whether a legal risk occurs at a legal risk point in the construction process of a project to be managed;
and if the legal risk occurs at the legal risk point in the construction process of the project to be managed, using the project data respectively corresponding to the legal risk point with the legal risk and each process link of the project to be managed as historical data for training the legal risk identification model.
In the process of building the project to be managed, if the legal risk points are subjected to the handling processing, the risk is relieved, and if the handling processing is not carried out, the legal risk is likely to occur. And monitoring whether the project to be managed has legal risks at legal risk points or not in the construction process of the project to be managed.
If the legal risk appears at the legal risk point in the construction process of the project to be managed, the legal risk point appearing the legal risk and the project data respectively corresponding to each process link of the project to be managed are used as historical data for training the legal risk identification model, so that the legal risk identification model can be advanced with time.
The method for managing risk of a project in some embodiments, further comprising:
acquiring credit data and project deduction data of a project supplier to be managed;
and displaying credit worthiness data and project deduction data of the project supplier to be managed on the access layer.
And acquiring credit worthiness data and project deduction data of the project supplier to be managed through '6 + 1' system data and external enterprise credit worthiness network data provided by the big data platform, and displaying the credit worthiness data and the project deduction data of the project supplier to be managed on an access layer.
The method for managing risk of a project in some embodiments, further comprising:
performing risk treatment condition statistics, specifically including:
counting the number of risk identifications, counting the number of risk reviews, counting the number of risk responses and evaluating the risk responses;
and displaying the risk treatment condition statistical result at the access layer.
Referring to fig. 6, risk identification number statistics, risk review number statistics, risk response number statistics, and risk response evaluations are displayed in the access layer, so that the user can better manage the project risk.
A management apparatus of project risk, referring to fig. 7, comprising:
a processor 41 and a memory 42, the processor 41 and the memory 42 being connected by a communication bus;
wherein, the processor 41 is used for calling and executing the program stored in the memory 42;
a memory 42 for storing a program for at least the method of managing risk for a project of any of the above embodiments.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A method for managing risk of a project, comprising:
acquiring process link data of a project to be managed and project data corresponding to each process link;
according to the project data corresponding to each flow link, obtaining legal risk points corresponding to each flow link of the project to be managed based on a pre-trained legal risk identification model;
and displaying the flow links of the project to be managed and the legal risk points corresponding to the flow links of the project to be managed on an access layer.
2. The method of claim 1, further comprising:
acquiring historical data of all infrastructure projects, wherein the historical data of all infrastructure projects comprises: historical process links of all the capital construction projects and historical project data corresponding to each process link respectively;
acquiring legal risk points corresponding to each flow link of the historical project;
and training the legal risk recognition model according to the historical project data and legal risk points corresponding to the process links of the historical project.
3. The method of claim 2, further comprising:
clustering the legal risk points;
setting risk grade parameters, and classifying the risk grade of the legal risk points according to the risk grade parameters.
4. The method of claim 3, further comprising:
training the legal risk recognition model according to the corresponding relation between the legal risk points and the risk grade classification;
according to the project data corresponding to each flow link, obtaining risk grade classification of legal risk points corresponding to each flow link of the project to be managed based on a pre-trained legal risk identification model;
and displaying the risk level classification of the legal risk point on the access layer.
5. The method of claim 2, further comprising:
acquiring the area of a project to be managed;
obtaining all legal risk points corresponding to the project to be managed based on a pre-trained legal risk identification model according to the project data corresponding to each flow link;
counting the number of items to be managed in each area and the number of legal risk points corresponding to all the items to be managed in each area;
and displaying the quantity of the items to be managed in each area and the quantity of legal risk points corresponding to all the items to be managed in each area on the access layer.
6. The method of claim 4, further comprising:
acquiring a solution corresponding to the legal risk point from a pre-trained database;
and sending the legal risk points corresponding to the process links of the project to be managed, the risk level classification and the solution corresponding to the legal risk points to a manager terminal.
7. The method of claim 5, further comprising:
monitoring whether a legal risk occurs at a legal risk point in the construction process of the project to be managed;
and if the legal risk occurs at the legal risk point in the construction process of the project to be managed, taking the legal risk point with the legal risk and the project data corresponding to each process link of the project to be managed as historical data for training the legal risk identification model.
8. The method of claim 1, further comprising:
acquiring credit data and project deduction data of the project supplier to be managed;
and displaying credit worthiness data and project deduction data of the project supplier to be managed on the access layer.
9. The method of claim 1, further comprising:
performing risk treatment condition statistics, specifically including:
counting the number of risk identifications, counting the number of risk reviews, counting the number of risk responses and evaluating the risk responses;
and displaying the risk treatment condition statistics at the access layer.
10. An apparatus for managing risk of a project, comprising:
the processor is connected with the memory through a communication bus;
the processor is used for calling and executing the program stored in the memory;
the memory for storing a program for performing at least the method of risk management of a project according to any of claims 1-9.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112308404A (en) * | 2020-10-29 | 2021-02-02 | 广东电网有限责任公司 | Project risk management method and device, electronic equipment and storage medium |
| CN112308404B (en) * | 2020-10-29 | 2023-02-17 | 广东电网有限责任公司 | Project risk management method and device, electronic equipment and storage medium |
| CN112465011A (en) * | 2020-11-25 | 2021-03-09 | 平安医疗健康管理股份有限公司 | Project risk prediction method and system based on project research and development process |
| CN112465011B (en) * | 2020-11-25 | 2022-08-02 | 深圳平安医疗健康科技服务有限公司 | Project risk prediction method and system based on project research and development process |
| CN114595918A (en) * | 2021-12-22 | 2022-06-07 | 国网安徽省电力有限公司信息通信分公司 | Electric power information project construction risk assessment method and device |
| CN116663877A (en) * | 2023-05-31 | 2023-08-29 | 中咨海外咨询有限公司 | Whole process engineering consultation project risk management method |
| CN116663877B (en) * | 2023-05-31 | 2024-02-02 | 中咨海外咨询有限公司 | Whole process engineering consultation project risk management method |
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