Water and soil conservation credit rating method based on performance document information

Abstract

The invention discloses a water and soil conservation credit rating method based on performance document information. Comprising the following steps: S1, collecting, inputting and uploading names, legal persons and contact information, administrative penalty information, responsibility investigation information, related law enforcement records, legal documents, administrative decision documents and credit restoration documents of production construction projects and construction participating units from a credit information platform calling system to a credit information platform; s2, taking legal documents and administrative decision documents as evaluation indexes, taking the production and construction project as a unit, and scoring construction participating units related to the production and construction project; s3, rating each construction participation unit according to the scoring result of each construction participation unit and a credit rating evaluation rule, and pushing a water and soil conservation credit rating result through a national credit information sharing platform; according to the method, a water administrative supervisor part can conveniently implement classified supervision on production construction projects and related credit objects according to credit grades.

Description

Technical Field

[0001] The present invention relates to the technical field of soil and water conservation credit rating, and more specifically to a soil and water conservation credit rating method based on performance document information. Background Art

[0002] The Ministry of Water Resources has deployed the comprehensive implementation of credit supervision on soil and water conservation to give full play to the role of credit supervision in soil and water conservation supervision, and has also promoted the implementation of credit evaluation on soil and water conservation. The work organization form has changed from the "two lists" in Document No. 157, which are combined with supervision work at any time, and then reported from bottom to top step by step after the recognition, and disclosed on the corresponding platform according to the level of the recognition department, to the credit evaluation in Document No. 359, which is organized uniformly by the Ministry of Water Resources, carried out once a year, and the evaluation results are uniformly released through the ministerial platform.

[0003] Although this organizational form is more conducive to the comprehensive application of evaluation results, there is currently no corresponding platform in the country to support soil and water conservation credit evaluation. Summary of the invention

[0004] The purpose of this invention is to provide a soil and water conservation credit rating method based on performance document information, which is based on a credit information platform and uses legal documents and administrative decision documents as evaluation indicators to score and rate units related to production and construction projects, so that the water administration department can implement classified supervision on production and construction projects and related credit objects according to credit ratings.

[0005] To achieve the above object, the present invention provides the following technical solutions: A soil and water conservation credit rating method based on performance document information includes the following steps: S1. Collect the names, legal persons and contact information of production and construction projects and participating units, administrative penalty information, accountability information and relevant law enforcement records, legal documents and administrative decision documents, and credit repair documents from the calling system, enter them and upload them to the credit information platform; S2. Use legal documents and administrative decision documents as evaluation indicators, and use production and construction projects as units to score the participating units of production and construction projects; S3. Rating each participating unit based on the scoring results and credit rating evaluation rules, and push the soil and water conservation credit rating results through the national credit information sharing platform.

[0006] Furthermore, in step S1, the names, legal persons and contact information of the production and construction projects and participating units, administrative penalty information, accountability information and relevant law enforcement records, legal documents and administrative decision documents, and credit repair documents are collected from the calling system, entered and uploaded to the credit information platform, specifically: The credit information platform includes a reporting version and a special version for supervisory and management units; The reporting version of the credit information platform is used to input the unit name, legal person and contact information, and upload credit repair documents, national soil and water conservation demonstration project naming documents and legal documents; The special version of the credit information platform for the supervision and management unit is used to input soil and water conservation performance information, administrative penalty information, accountability information and law enforcement records, and upload administrative decision documents; The credit information platform calling system is specifically: National Soil and Water Conservation Information Management System V4.0.

[0007] Furthermore, in step S1, based on inputting and uploading, the step further includes: generating a credit object data set and an evaluation index data set from all the data; The credit object data set includes: production and construction units, plan preparation units, technical review units, design units, construction units, monitoring units, supervision units, and acceptance report preparation units; The evaluation index data set includes: changes without approval, failure to fulfill commitments in commitment-based projects, and random dumping and abandonment at construction sites.

[0008] Furthermore, in step S2, the legal documents and administrative decision documents are used as evaluation indicators, and the participating units related to the production and construction projects are scored based on the production and construction projects, specifically: After the credit information platform is running, the project name is assigned to the character G, and a credit object data set and an evaluation index data set are generated; The scoring process is specifically as follows: Assign an element in the credit object data set to the character H and 100 to the integer W. Assign an element of the evaluation index data set to character I, and determine whether the combination of H and I meets the scoring rules. If it does not meet the requirements, then enumerate to another element of the evaluation index data set. If it meets the requirements, it is determined whether it is directly judged as D. If it is D, assign D to P and output G, H, P If it is not D, then compare the combination of H and I with Figure 3 The score of the relationship between the credit object and the evaluation index combination is -20, -15, -10, +10 or +5 and performs arithmetic operation on W. Then determine whether W is less than 0. If it is less than 0, assign D to P and output G, H, P. If it is greater than 0, it is determined whether the enumeration of each element in the evaluation index data set is completed; If the enumeration is not finished, enumerate to another element of the evaluation index dataset. If the enumeration is completed, the rating process will begin; Among them, the G represents the project; the H represents the credit object; the I represents the evaluation index; the W represents the scoring result of the credit object; and the P represents the rating result.

[0009] Furthermore, in step S3, each construction participating unit is rated according to the scoring results of each construction participating unit and the credit rating evaluation rules, specifically: Judge W≥90, If true, assign A to P. If not, then judge W≥80, If true, assign B to P. If not, then judge W≥60, If true, assign C to P. If not, assign D to P. Output G, H, W, P, Then determine whether the enumeration of all elements of the credit object data set is completed. If the enumeration is not finished, enumerate to another element of the credit object data set. If the enumeration ends, the platform ends its operation.

[0010] Furthermore, the soil and water conservation credit rating results in step S3 are specifically: the rating results are A, B, C, and D in order; The A stands for the excellent unit of soil and water conservation credit; The B represents a unit with good credit for soil and water conservation; The C represents the general unit of soil and water conservation credit; The D represents a unit with poor soil and water conservation credit.

[0011] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: By developing and improving it on the basis of the existing soil and water conservation information management system V4.0, duplicate construction is avoided and a natural advantage is gained in maintenance and security; the soil and water conservation credit information in the present invention can be generated synchronously during daily performance time, avoiding an increase in the number of performance times, and relevant information such as production and construction projects and key soil and water conservation projects in the system provide comprehensive support for the evaluation work without coordination pressure; credit evaluation is based on the written documents generated by the performance of duties, making the evaluation results more authoritative and convincing; it is convenient for the water administration department to implement classified supervision on production and construction projects and related credit objects according to credit levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0013] The following is a further description of the soil and water conservation credit rating method based on performance document information of the present invention in conjunction with the accompanying drawings; Figure 1 It is a schematic diagram of the overall process of the soil and water conservation credit rating method based on performance document information provided by the present invention; Figure 2 It is a schematic diagram of an input interface in the soil and water conservation credit rating method based on performance document information provided by the present invention; Figure 3 It is a schematic diagram of scoring rules in the soil and water conservation credit rating method based on performance document information provided by the present invention; Figure 4 It is a scoring and rating schematic diagram in the soil and water conservation credit rating method based on performance document information provided by the present invention. DETAILED DESCRIPTION

[0014] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0015] In order to better understand the purpose, structure and function of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings.

[0016] like Figure 1 As shown, the present invention provides a soil and water conservation credit rating method based on performance document information, comprising the following steps: S1. Collect the names, legal persons and contact information of production and construction projects and participating units, administrative penalty information, accountability information and relevant law enforcement records, legal documents and administrative decision documents, and credit repair documents from the calling system, enter them and upload them to the credit information platform; S2. Use legal documents and administrative decision documents as evaluation indicators, and use production and construction projects as units to score the participating units of production and construction projects; S3. Rating each participating unit based on the scoring results and credit rating evaluation rules, and push the soil and water conservation credit rating results through the national credit information sharing platform.

[0017] In step S1, the names, legal persons and contact information of the production and construction projects and participating units, administrative penalty information, accountability information and relevant law enforcement records, legal documents and administrative decision documents, and credit repair documents are collected from the calling system, entered and uploaded to the credit information platform, specifically: the credit information platform includes a reporting version and a special version for supervision and management units; The reporting version of the credit information platform is used to input the unit name, legal person and contact information, and upload credit repair documents, national soil and water conservation demonstration project naming documents and legal documents; The special version of the credit information platform for the supervision and management unit is used to enter soil and water conservation performance information, administrative penalty information, accountability information and law enforcement records, and upload administrative decision documents.

[0018] It should be noted that: the credit information platform in the present invention is specifically: the existing soil and water conservation information management system V4.0; information entry refers to designing a number of check items on the information entry interface of the credit information platform to improve the efficiency of information collection; uploading files refers to setting a file upload function on the information entry interface of the credit information platform to review the consistency between official documents and the checked information and ensure the authority of the credit rating results; when performing soil and water conservation duties, efficient collection of credit information is achieved by checking and uploading files on the information entry interface of the credit information platform, and the entry interface is as follows: Figure 2 shown.

[0019] The credit information platform calls the existing production and construction project names, unit names, and time information in the system and automatically loads them into the credit information platform information entry interface.

[0020] In step S2, legal documents and administrative decision documents are used as evaluation indicators, and production and construction projects are used as units to score the units related to the production and construction projects. Specifically, after the content of the checked items on the information input interface of the credit information platform is reviewed, the checked items that are consistent with the content of the legal documents and administrative decision documents are used as evaluation indicators; the credit information platform uses production and construction projects as units, and scores the units related to the production and construction projects according to the evaluation indicators and the scoring rules. The scoring rules are as follows: Figure 3 shown.

[0021] After the credit information platform is running, the project name is assigned to the character G, and a credit object data set and an evaluation index data set are generated; like Figure 4 As shown, the scoring process is specifically as follows: Using the enumeration algorithm, an element in the credit object data set is assigned to the character H, and 100 is assigned to the integer W. Assign an element of the evaluation index data set to character I, and judge whether the combination of H and I meets the scoring rules, that is, Figure 3Compare the credit objects and evaluation index combinations. If it does not meet the requirements, then enumerate to another element of the evaluation index data set. If it meets the requirements, it is determined whether it is directly judged as D. If it is D, assign D to P and output G, H, P. If it is not D, then compare the combination of H and I with Figure 3 The relationship between the credit object and the evaluation index combination is judged by the index score of -20, -15, -10, +10 or +5, and an arithmetic operation is performed with W. The operation process is described by an example: at the beginning of the scoring, if the index score of a certain combination of H and I is -20, then -20 is arithmetic operated with the initial value of W 100 to obtain 80, and 80 is assigned to W as the W value for the next arithmetic operation, that is, the W value changes after each arithmetic operation, and the changed value is used for the next arithmetic operation; Then determine whether W is less than 0. If it is less than 0, assign D to P and output G, H, P. If it is greater than 0, it is determined whether the enumeration of each element in the evaluation index data set is completed; If the enumeration is not finished, enumerate to another element of the evaluation index dataset. If the enumeration is completed, the rating process will begin; The G represents the project; H represents the credit object; I represents the evaluation index; W represents the scoring result of the credit object; and P represents the rating result.

[0022] In step S3, each construction unit is rated according to the scoring results of each construction unit and the credit rating evaluation rules, specifically: Judge W≥90, If true, assign A to P. If not, then judge W≥80, If true, assign B to P. If not, then judge W≥60, If true, assign C to P. If not, assign D to P. Output G, H, W, P, Then determine whether the enumeration of all elements of the credit object data set is completed. If the enumeration is not finished, enumerate to another element of the credit object data set. If the enumeration ends, the platform ends its operation.

[0023] It should be noted that G is a character type, representing a project. After the credit information platform is put into operation, a project name will be assigned the character G, and the project will begin to be scored and rated. Before the scoring and rating is completed, G will always represent the project; after the scoring and rating of the project is completed, another project name will be assigned to G as the enumeration proceeds.

[0024] H is a character type, representing a credit object. When a project name is assigned to character G, the credit information platform will generate a credit object data set related to the project, and assign the first credit object in the data set to H. As the enumeration proceeds, H is assigned to different credit objects in turn until the data set is enumerated.

[0025] I is a character type, representing an evaluation indicator. When a project name is assigned to character G, the credit information platform will generate an evaluation indicator data set related to the project, and assign the first evaluation indicator in the data set to I. As the enumeration proceeds, I is assigned different evaluation indicators in turn until the data set is enumerated.

[0026] W is an integer, representing the credit object's score result. The initial credit score of a credit object is 100. After being assigned to W, arithmetic operations are performed based on logical judgment. After each arithmetic operation, the value of W changes. The changed value is assigned to W for the next arithmetic operation. The final result of W is the score result of a credit object.

[0027] P is a character type, representing the rating result. The rating result of a credit object is obtained after logical judgment and assigned to P.

[0028] In step S3, the credit rating of each construction unit is determined according to the credit rating evaluation rules, specifically: The credit information platform generates a credit object dataset and an evaluation index dataset respectively; The credit object data set includes: production and construction units, plan preparation units, technical review units, design units, construction units, monitoring units, supervision units, and acceptance report preparation units; The evaluation index data set includes: changes without approval, failure to fulfill commitments in commitment-based projects, and random dumping and waste at construction sites.

[0029] The soil and water conservation credit rating results in step S3 are specifically as follows: the rating results are shown in Table 1, which are A, B, C, and D in sequence.

[0030] It should be noted that: A is a character type, rating result; it represents that a certain credit object is an excellent soil and water conservation credit unit.

[0031] B is character type, rating result; it represents that a certain credit object is a unit with good soil and water conservation credit.

[0032] C is character type, rating result; it represents that a credit object is a general soil and water conservation credit unit.

[0033] D is character type, rating result; it represents that a credit object is a unit with poor soil and water conservation credit.

[0034]

[0035] The present invention also enumerates the scoring and rating process of all elements in the credit object dataset in sequence: First enumerate the elements of the credit object dataset in sequence (1) The first element of the credit object data set is “production and construction unit”: Enumerate the elements of the evaluation index dataset in sequence: The first element "has the behavior of "changing before approval"" complies with the rule, W=100-20, The second element "commitment-based projects fail to fulfill their commitments" complies with the rules, W=80-20, The third element "there are random piles and wastes at the construction site" does not comply with the rules, so W remains unchanged. The enumeration of the evaluation indicator data set is completed, and the score of the production and construction unit of a certain project is output as 60, and the rating is C.

[0036] (2) The second element of the credit object data set is “plan preparation unit”: Enumerate the elements of the evaluation index dataset in sequence: The first element "has the behavior of "changing before approval"" does not comply with the rule, W=100, The second element "commitment-based projects fail to fulfill their commitments" does not comply with the rules, so W remains unchanged. The third element "there are random piles and wastes at the construction site" does not comply with the rules, so W remains unchanged. The enumeration of the evaluation indicator data set is completed, and the score of the project plan preparation unit is output as 100, and the rating is A.

[0037] (3) The third element of the credit object data set: “Technical review unit” Enumerate the elements of the evaluation index dataset in sequence: The first element "has the behavior of "changing before approval"" does not comply with the rule, W=100, The second element "commitment-based projects fail to fulfill their commitments" does not comply with the rules, so W remains unchanged. The third element "there are random piles and wastes at the construction site" does not comply with the rules, so W remains unchanged. The enumeration of the evaluation indicator data set is completed, and the score of the technical review unit of a certain project is output as 100, and the rating is A.

[0038] (4) The fourth element of the credit object data set is “design unit”: Enumerate the elements of the evaluation index dataset in sequence: The first element "has the behavior of "changing before approval"" does not comply with the rule, W=100, The second element "commitment-based projects fail to fulfill their commitments" does not comply with the rules, so W remains unchanged. The third element "there are random piles and wastes at the construction site" does not comply with the rules, so W remains unchanged. The enumeration of the evaluation index data set is completed, and the score of a certain project design unit is output as 100, and the rating is A.

[0039] (5) The fifth element of the credit object data set: “Construction unit” Enumerate the elements of the evaluation index dataset in sequence The first element "has the behavior of "changing before approval"" does not comply with the rule, W=100, The second element "commitment-based projects fail to fulfill their commitments" does not comply with the rules, so W remains unchanged. The third element "there are random dumping and dumping at the construction site" complies with the rules, W=100-20, The enumeration of the evaluation index data set is completed, and the score of a project construction unit is output as 80, with a rating of B.

[0040] (6) The sixth element of the credit object data set: “Monitoring unit” Enumerate the elements of the evaluation index dataset in sequence: The first element "has the behavior of "changing before approval"" does not comply with the rule, W=100, The second element "commitment-based projects fail to fulfill their commitments" does not comply with the rules, so W remains unchanged. The third element "there are random piles and wastes at the construction site" does not comply with the rules, so W remains unchanged. The enumeration of the evaluation indicator data set is completed, and the score of a project monitoring unit is output as 100, and the rating is A.

[0041] (7) The seventh element of the credit object data set: “Supervisory unit” Enumerate the elements of the evaluation index dataset in sequence: The first element "has the behavior of "changing before approval"" does not comply with the rule, W=100, The second element "commitment-based projects fail to fulfill their commitments" does not comply with the rules, so W remains unchanged. The third element "there are random piles and wastes at the construction site" does not comply with the rules, so W remains unchanged. The enumeration of the evaluation index data set is completed, and the score of a project supervision unit is output as 100, and the rating is A.

[0042] (8) The eighth element of the credit object data set is “acceptance report preparation unit” Enumerate the elements of the evaluation index dataset in sequence: The first element "has the behavior of "changing before approval"" does not comply with the rule, W=100, The second element "commitment-based projects fail to fulfill their commitments" does not comply with the rules, so W remains unchanged. The third element "there are random piles and wastes at the construction site" does not comply with the rules, so W remains unchanged. The enumeration of the evaluation indicator data set is completed, and the score of the unit that prepared the project acceptance report is output as 100, and the rating is A.

[0043] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one 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 present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A soil and water conservation credit rating method based on performance document information, characterized in that: The following steps are involved: S1. Collect the names, legal persons and contact information of production and construction projects and participating units, administrative penalty information, accountability information and relevant law enforcement records, legal documents and administrative decision documents, and credit repair documents from the calling system, enter them and upload them to the credit information platform; S2. Use legal documents and administrative decision documents as evaluation indicators, and use production and construction projects as units to score the participating units of production and construction projects; S3. Rating each participating unit based on the scoring results and credit rating evaluation rules, and push the soil and water conservation credit rating results through the national credit information sharing platform.

2. The soil and water conservation credit rating method based on performance document information according to claim 1 is characterized in that: In step S1, the names, legal persons and contact information of the production and construction projects and participating units, administrative penalty information, accountability information and relevant law enforcement records, legal documents and administrative decision documents, and credit repair documents are collected from the calling system, entered and uploaded to the credit information platform, specifically: The credit information platform includes a reporting version and a special version for supervisory and management units; The reporting version of the credit information platform is used to input the unit name, legal person and contact information, and upload credit repair documents, national soil and water conservation demonstration project naming documents and legal documents; The special version of the credit information platform for the supervision and management unit is used to input soil and water conservation performance information, administrative penalty information, accountability information and law enforcement records, and upload administrative decision documents; The credit information platform calling system is specifically: National Soil and Water Conservation Information Management System V4.

0.

3. The soil and water conservation credit rating method based on performance document information according to claim 2 is characterized in that: In step S1, based on input and uploading, the step further includes: generating a credit object data set and an evaluation index data set from all the data; The credit object data set includes: production and construction units, plan preparation units, technical review units, design units, construction units, monitoring units, supervision units, and acceptance report preparation units; The evaluation index data set includes: changes without approval, failure to fulfill commitments in commitment-based projects, and random dumping and abandonment at construction sites.

4. The soil and water conservation credit rating method based on performance document information according to claim 3 is characterized in that: In step S2, legal documents and administrative decision documents are used as evaluation indicators, and the participating units related to the production and construction project are scored based on the production and construction project, specifically: After the credit information platform is running, the project name is assigned to the character G, and a credit object data set and an evaluation index data set are generated; The scoring process is specifically as follows: Assign an element in the credit object data set to the character H and 100 to the integer W. Assign an element of the evaluation index data set to character I, and determine whether the combination of H and I meets the scoring rules. If it does not meet the requirements, then enumerate to another element of the evaluation index data set. If it meets the requirements, it is determined whether it is directly judged as D. If it is D, assign D to P and output G, H, P If it is not D, then the relationship between the combination of H and I and the combination of credit objects and evaluation indicators in Figure 3 is compared in turn, and the judgment indicator score is -20, -15, -10, +10 or +5, and an arithmetic operation is performed on W. Then determine whether W is less than 0. If it is less than 0, assign D to P and output G, H, P. If it is greater than 0, it is determined whether the enumeration of each element in the evaluation index data set is completed; If the enumeration is not finished, enumerate to another element of the evaluation index dataset. If the enumeration is completed, the rating process will begin; Among them, the G represents the project; the H represents the credit object; the I represents the evaluation index; the W represents the scoring result of the credit object; and the P represents the rating result.

5. The soil and water conservation credit rating method based on performance document information according to claim 1 is characterized in that: In step S3, each construction unit is rated according to the scoring results of each construction unit and the credit rating evaluation rules, specifically: Judge W≥90, If true, assign A to P. If not, then judge W≥80, If true, assign B to P. If not, then judge W≥60, If true, assign C to P. If not, assign D to P. Output G, H, W, P, Then determine whether the enumeration of all elements of the credit object data set is completed. If the enumeration is not finished, enumerate to another element of the credit object data set. If the enumeration ends, the platform ends its operation.

6. The soil and water conservation credit rating method based on performance document information according to claim 1 is characterized in that: The soil and water conservation credit rating results in step S3 are specifically: the rating results are A, B, C, and D in order; The A stands for the excellent unit of soil and water conservation credit; The B represents a unit with good credit for soil and water conservation; The C represents the general unit of soil and water conservation credit; The D represents a unit with poor soil and water conservation credit.

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