Method and system for detecting item visa quality abnormity

Abstract

The invention provides a method and system for detecting project visa quality abnormity, and the method comprises the steps: obtaining target project data, converting the target project data into a preset format standard, and obtaining a target project parameter; comparing the target project parameter with a preset project standard to obtain a comparison result, and calculating a calibration value corresponding to the target project; and determining whether the target item is abnormal or not according to the comparison result and the calibration value to obtain a final detection result. According to the invention, the visa with too large difference between the visa amount and the scheme amount can be reminded and emphasized to be audited through the system, so that the pertinence of manual auditing is improved; the constants are defined to count the unit visa amount scheme amount, counting can be carried out according to cycles, and regular adjustment can be carried out, so that the constants are more practical.

Description

Technical Field

[0001] The present invention relates to the technical field of power system automation, and in particular to a method and system for detecting abnormal quality of project visas. Background Art

[0002] Emergency repair project visas are an important carrier for recording emergency repair construction volume and an important basis for project settlement. The review of emergency repair project visas is labor-intensive and involves a lot of content. Some visas with abnormal quality are not easy to be discovered, resulting in them being mistakenly passed.

[0003] The review of distribution network emergency repair project approvals involves numerous issues, including the type and quantity of materials, verification of engineering quantities, and discrepancies between the construction content, engineering quantities, and material usage compared to the emergency repair plan. This has led to significant discrepancies between the funding approved for some emergency repair projects and the planned budget. Furthermore, the project names for distribution network emergency repair projects are often not standardized. Project managers often fail to specify the project name according to specifications during project establishment, omitting the unit name, the year of emergency repair, or simply using the fault or defect as the project name. Summary of the Invention

[0004] The purpose of the present invention is to propose a method and system for detecting abnormalities in the quality of project visas, so as to solve the technical problem of how to accurately detect abnormalities in project visas.

[0005] In one aspect, a method for detecting abnormal quality of project visas is provided, comprising:

[0006] Obtain target project data, and convert the target project data into a preset format standard to obtain target project parameters;

[0007] Compare the target project parameters with the preset project standards, obtain the comparison results, and calculate the calibration value corresponding to the target project;

[0008] Determine whether the target item is abnormal based on the comparison result and calibration value to obtain the final test result.

[0009] Preferably, the target project parameters include at least the project name, project implementation content and fault cause; the project name includes at least the year, implementation unit and station and line.

[0010] Preferably, obtaining the comparison result includes inputting the project parameters into a preset recognition model to obtain fields corresponding to the target project parameters; the recognition model is trained using a preset data set to recognize field contents corresponding to the text information.

[0011] Preferably, it also includes comparing the fields corresponding to the target project parameters with the preset project standards to determine whether the target project parameters include field content that does not belong to the project standards; if it includes field content that does not belong to the project standards, the comparison result is generated as non-standard; if it does not include field content that does not belong to the project standards, the comparison result is generated as standard.

[0012] Preferably, the calculation of the calibration value corresponding to the target project includes retrieving the visa amount and the plan amount included in the project implementation content;

[0013] The ratio between the visa amount and the plan amount is output as the corresponding calibration value.

[0014] Preferably, it also includes obtaining the real-time visa amount and the real-time plan amount during the project operation in real time, and outputting the ratio between the real-time visa amount and the real-time plan amount as the corresponding real-time calibration value.

[0015] Preferably, the determining whether the target item is abnormal based on the comparison result and the calibration value includes comparing the difference between the calibration value and the real-time calibration value with a preset allowable deviation value. If the difference between the calibration value and the real-time calibration value is greater than the preset allowable deviation value, the target item is determined to be abnormal; if the difference between the calibration value and the real-time calibration value is not greater than the preset allowable deviation value, the target item is determined to be normal.

[0016] Preferably, the determining whether the target item is abnormal based on the comparison result and the calibration value further includes, when the comparison result is non-standard, determining that the target item is abnormal.

[0017] On the other hand, a system for detecting abnormal quality of project visas is provided, which is used to implement the method for detecting abnormal quality of project visas, including:

[0018] The project data acquisition module is used to acquire target project data and convert the target project data into a preset format standard to obtain target project parameters;

[0019] The anomaly detection module is used to compare the target project parameters with the preset project standards, obtain the comparison results, and calculate the calibration value corresponding to the target project;

[0020] It is also used to determine whether the target item is abnormal based on the comparison result and the calibration value to obtain the final test result.

[0021] In summary, the implementation of the embodiments of the present invention has the following beneficial effects:

[0022] The method and system for detecting abnormal quality of project visas provided by the present invention can be used by the system to conduct a preliminary review of the standardization of naming and to remind of non-standard naming, thereby improving the accuracy of manual review; the system can be used to remind and focus on reviewing visas with a large gap between the visa amount and the plan amount, thereby improving the pertinence of manual review; a constant k is defined as the visa amount and plan amount of the statistical unit, which can be counted on a periodic basis and adjusted regularly to make it more in line with reality; an allowable deviation △k is defined, which belongs to the normal range within a certain deviation range, and the allowable deviation can be adjusted according to actual conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, without paying any creative work, other drawings obtained based on these drawings still fall within the scope of the present invention.

[0024] Figure 1 The present invention is a schematic diagram of the main process of a method for detecting abnormal quality of project visas in an embodiment of the present invention.

[0025] Figure 2 The figure is a logic diagram of a method for detecting abnormal quality of project visas in an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be described in further detail below with reference to the accompanying drawings.

[0027] like Figure 1 and Figure 2 FIG. 1 is a schematic diagram of an embodiment of a method for detecting abnormal quality of project visas provided by the present invention. In this embodiment, the method includes the following steps:

[0028] Step S1, obtain the target project data, and convert the target project data into a preset format standard to obtain the target project parameters; wherein, the target project parameters at least include the project name, project implementation content and fault cause; the project name at least includes the year, implementation unit and station, line. Understandably, 1. Sort out the project naming specifications, such as if it is necessary to include the year, implementation unit and station, line and other names, such as if it is necessary to include the fault cause and project implementation content, etc. Analyze the fields that must be included in the project naming specifications: such as "year", "bureau", "station", "line" and "project" or "engineering" fields.

[0029] Step S2 compares the target project parameters with the preset project standards, obtains the comparison results, and calculates the corresponding calibration value for the target project. Understandably, the system compares and filters project names, screening out non-standard names and displaying a "non-standard project name" prompt. The basis for the engineering quantity certification is the project plan. Quantities can be adjusted or work content can be added based on actual project needs. In terms of monetary value, the certification amount Q and the planned amount F should have a value K = Q / F.

[0030] In one embodiment, obtaining the comparison result includes inputting the project parameters into a preset recognition model to obtain fields corresponding to the target project parameters; the recognition model is trained using a preset data set to recognize the content of the corresponding fields of the text information; and comparing the fields corresponding to the target project parameters with preset project standards to determine whether the target project parameters include field content that does not conform to the project standards; if the target project parameters include field content that does not conform to the project standards, generating a comparison result of non-standard; if the target project parameters do not include field content that does not conform to the project standards, generating a comparison result of standard.

[0031] In one embodiment, the calculation of the calibration value corresponding to the target project includes retrieving the visa amount and the plan amount included in the project implementation content; and outputting the ratio between the visa amount and the plan amount as the corresponding calibration value.

[0032] Step S3: Determine whether the target item is abnormal based on the comparison result and the calibration value to obtain a final test result. It is understandable that if either the comparison result or the calibration value is abnormal, it indicates that the target item is abnormal.

[0033] One embodiment further includes obtaining the real-time visa amount and real-time plan amount during project operation, and outputting the ratio between the real-time visa amount and the real-time plan amount as the corresponding real-time calibration value. Specifically, after the system has been running for a period of time, it can calculate the unit ∑ visa amount / ∑ plan amount = k as a constant; set an allowable deviation Δk; calculate the K value for each project; when |Kk| > Δk, the system prompts "Abnormal visa amount / quantity"; regularly calculate the k value and make adjustments; and adjust the allowable deviation Δk based on actual conditions.

[0034] In one embodiment, the difference between the calibration value and the real-time calibration value is compared with a preset allowable deviation value. If the difference between the calibration value and the real-time calibration value is greater than the preset allowable deviation value, the target item is determined to be abnormal; if the difference between the calibration value and the real-time calibration value is not greater than the preset allowable deviation value, the target item is determined to be normal.

[0035] An embodiment of the present invention further provides a system for detecting abnormal quality of project visas, which is used to implement the method for detecting abnormal quality of project visas, including:

[0036] The project data acquisition module is used to acquire target project data and convert the target project data into a preset format standard to obtain target project parameters;

[0037] The anomaly detection module is used to compare the target project parameters with the preset project standards, obtain the comparison results, and calculate the calibration value corresponding to the target project;

[0038] It is also used to determine whether the target item is abnormal based on the comparison result and the calibration value to obtain the final test result.

[0039] It should be noted that the system described in the above embodiment corresponds to the method described in the above embodiment. Therefore, the parts of the system described in the above embodiment that are not described in detail can be obtained by referring to the contents of the method described in the above embodiment, and will not be repeated here.

[0040] In summary, the implementation of the embodiments of the present invention has the following beneficial effects:

[0041] The method and system for detecting abnormal quality of project visas provided by the present invention can be used by the system to conduct a preliminary review of the standardization of naming and to remind of non-standard naming, thereby improving the accuracy of manual review; the system can be used to remind and focus on reviewing visas with a large gap between the visa amount and the plan amount, thereby improving the pertinence of manual review; a constant k is defined as the visa amount and plan amount of the statistical unit, which can be counted on a periodic basis and adjusted regularly to make it more in line with reality; an allowable deviation △k is defined, which belongs to the normal range within a certain deviation range, and the allowable deviation can be adjusted according to actual conditions.

[0042] The above disclosure is merely a preferred embodiment of the present invention and certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for detecting abnormal quality of project visas, characterized in that: include: Obtain target project data, and convert the target project data into a preset format standard to obtain target project parameters; Compare the target project parameters with the preset project standards, obtain the comparison results, and calculate the calibration value corresponding to the target project; Determine whether the target item is abnormal based on the comparison result and the calibration value to obtain the final test result.

2. The method according to claim 1, characterized in that The target project parameters at least include the project name, project implementation content and fault cause; the project name at least includes the year, implementation unit and station and line.

3. The method according to claim 2, characterized in that Obtaining the comparison result includes inputting the project parameters into a preset recognition model to obtain fields corresponding to the target project parameters; the recognition model is trained by a preset data set to identify the field content corresponding to the text information.

4. The method according to claim 3, characterized in that It also includes comparing the fields corresponding to the target project parameters with the preset project standards to determine whether the target project parameters include field content that does not belong to the project standards; if the field content that does not belong to the project standards is included, the comparison result generated is non-standard; if the field content that does not belong to the project standards is not included, the comparison result generated is standard.

5. The method according to claim 4, characterized in that The calculation of the calibration value corresponding to the target project includes retrieving the visa amount and the plan amount included in the project implementation content; The ratio between the visa amount and the plan amount is output as the corresponding calibration value.

6. The method according to claim 5, characterized in that It also includes obtaining the real-time visa amount and the real-time plan amount during the project operation in real time, and outputting the ratio between the real-time visa amount and the real-time plan amount as the corresponding real-time calibration value.

7. The method according to claim 6, characterized in that Determining whether the target item is abnormal according to the comparison result and the calibration value Determining whether the target item is abnormal according to the comparison result and the calibration value includes comparing the difference between the calibration value and the real-time calibration value with a preset allowable deviation value, and if the difference between the calibration value and the real-time calibration value is greater than the preset allowable deviation value, then determining that the target item is abnormal; If the difference between the calibration value and the real-time calibration value is not greater than the preset allowable deviation value, the target item is determined to be normal.

8. The method according to claim 7, characterized in that The determining whether the target item is abnormal based on the comparison result and the calibration value also includes, when the comparison result is not standard, determining that the target item is abnormal.

9. A system for detecting abnormal quality of project visas, used to implement the method according to any one of claims 1 to 8, characterized in that: include, The project data acquisition module is used to acquire the target project data and convert the target project data into a preset format standard to obtain the target project parameters; The anomaly detection module is used to compare the target project parameters with the preset project standards, obtain the comparison results, and calculate the calibration value corresponding to the target project; It is also used to determine whether the target item is abnormal based on the comparison result and the calibration value to obtain the final test result.

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